From 816471e426fac16a185f1d7211320e1d538654f2 Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 18 Apr 2020 17:25:47 -0700 Subject: [PATCH 01/60] Fix unit tests, lint, drop Python 2 support Drop EOL Python 2 support. Resolve unit test discrepancies. Update unit tests to pass in Travis across all supported Py. Linting. --- .bandit | 3 + .deepsource.toml | 12 + .gitignore | 3 + .travis.yml | 5 - README.md | 14 +- camelot/core.py | 39 +- camelot/handlers.py | 25 +- camelot/io.py | 9 +- camelot/parsers/base.py | 15 +- camelot/parsers/lattice.py | 55 ++- camelot/parsers/stream.py | 102 ++++-- camelot/plotting.py | 18 +- camelot/utils.py | 47 ++- docs/index.rst | 10 + docs/user/how-it-works.rst | 2 +- docs/user/install.rst | 2 +- requirements.txt | 2 +- setup.py | 5 +- tests/data.py | 343 ++++++++++-------- tests/files/baseline_plots/test_grid_plot.png | Bin 8367 -> 8366 bytes .../files/baseline_plots/test_joint_plot.png | Bin 48678 -> 33969 bytes .../test_lattice_contour_plot.png | Bin 47314 -> 47246 bytes tests/files/baseline_plots/test_line_plot.png | Bin 6833 -> 6832 bytes .../test_stream_contour_plot.png | Bin 13521 -> 14487 bytes .../baseline_plots/test_stream_grid_plot.png | Bin 0 -> 9940 bytes tests/files/baseline_plots/test_text_plot.png | Bin 8992 -> 9112 bytes .../baseline_plots/test_textedge_plot.png | Bin 17978 -> 19000 bytes tests/test_cli.py | 25 +- tests/test_common.py | 97 +++-- tests/test_plotting.py | 32 ++ 30 files changed, 564 insertions(+), 301 deletions(-) create mode 100644 .bandit create mode 100644 .deepsource.toml create mode 100644 tests/files/baseline_plots/test_stream_grid_plot.png diff --git a/.bandit b/.bandit new file mode 100644 index 0000000..c936150 --- /dev/null +++ b/.bandit @@ -0,0 +1,3 @@ +[bandit] +# Ignore concerns about asserts, necessary for unit test code +skips: B101,B102 diff --git a/.deepsource.toml b/.deepsource.toml new file mode 100644 index 0000000..e8edbba --- /dev/null +++ b/.deepsource.toml @@ -0,0 +1,12 @@ +version = 1 + +exclude_patterns = [ + "camelot/ext/**" +] + +[[analyzers]] +name = "python" +enabled = true + +[analyzers.meta] +runtime_version = "3.x.x" diff --git a/.gitignore b/.gitignore index d0aea62..3af88c1 100644 --- a/.gitignore +++ b/.gitignore @@ -4,6 +4,7 @@ __pycache__/ build/ dist/ +prof/ *.egg-info/ .eggs/ .coverage @@ -17,3 +18,5 @@ htmlcov/ # vscode .vscode + +.DS_Store \ No newline at end of file diff --git a/.travis.yml b/.travis.yml index 7426bb0..c603fd5 100755 --- a/.travis.yml +++ b/.travis.yml @@ -1,4 +1,3 @@ -sudo: true language: python cache: pip addons: @@ -8,10 +7,6 @@ install: - make install jobs: include: - - stage: test - script: - - make test - python: '2.7' - stage: test script: - make test diff --git a/README.md b/README.md index 4ecb665..1fa8be4 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ [![Build Status](https://travis-ci.org/camelot-dev/camelot.svg?branch=master)](https://travis-ci.org/camelot-dev/camelot) [![Documentation Status](https://readthedocs.org/projects/camelot-py/badge/?version=master)](https://camelot-py.readthedocs.io/en/master/) [![codecov.io](https://codecov.io/github/camelot-dev/camelot/badge.svg?branch=master&service=github)](https://codecov.io/github/camelot-dev/camelot?branch=master) [![image](https://img.shields.io/pypi/v/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/l/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/pyversions/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![Gitter chat](https://badges.gitter.im/camelot-dev/Lobby.png)](https://gitter.im/camelot-dev/Lobby) -[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) +[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) [![image](https://img.shields.io/badge/continous%20quality-deepsource-lightgrey)](https://deepsource.io/gh/camelot-dev/camelot/?ref=repository-badge) **Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files! @@ -71,7 +71,7 @@ $ conda install -c conda-forge camelot-py ### Using pip -After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install-deps.html) ([tk](https://packages.ubuntu.com/trusty/python-tk) and [ghostscript](https://www.ghostscript.com/)), you can simply use pip to install Camelot: +After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install-deps.html) ([tk](https://packages.ubuntu.com/bionic/python/python-tk) and [ghostscript](https://www.ghostscript.com/)), you can simply use pip to install Camelot: 
 $ pip install camelot-py[cv]
@@ -124,6 +124,10 @@ After installation, you can run tests using:
 $ python setup.py test
+## Wrappers + +- [camelot-php](https://github.com/randomstate/camelot-php) provides a [PHP](https://www.php.net/) wrapper on Camelot. + ## Versioning Camelot uses [Semantic Versioning](https://semver.org/). For the available versions, see the tags on this repository. For the changelog, you can check out [HISTORY.md](https://github.com/camelot-dev/camelot/blob/master/HISTORY.md). @@ -132,4 +136,8 @@ Camelot uses [Semantic Versioning](https://semver.org/). For the available versi This project is licensed under the MIT License, see the [LICENSE](https://github.com/camelot-dev/camelot/blob/master/LICENSE) file for details. - +## Support the development + +You can support our work on Camelot with a one-time or monthly donation [on OpenCollective](https://opencollective.com/camelot). Organizations who use camelot can also sponsor the project for an acknowledgement on [our documentation site](https://camelot-py.readthedocs.io/en/master/) and this README. + +Special thanks to all the users, organizations and contributors that support Camelot! diff --git a/camelot/core.py b/camelot/core.py index b7a02b1..5fff3c6 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -38,7 +38,7 @@ class TextEdge(object): intersections: int Number of intersections with horizontal text rows. is_valid: bool - A text edge is valid if it intersections with at least + A text edge is valid if it intersects with at least TEXTEDGE_REQUIRED_ELEMENTS horizontal text rows. """ @@ -65,7 +65,8 @@ class TextEdge(object): the is_valid attribute. """ if np.isclose(self.y0, y0, atol=edge_tol): - self.x = (self.intersections * self.x + x) / float(self.intersections + 1) + self.x = (self.intersections * self.x + x) / \ + float(self.intersections + 1) self.y0 = y0 self.intersections += 1 # a textedge is valid only if it extends uninterrupted @@ -141,13 +142,16 @@ class TextEdges(object): """ intersections_sum = { "left": sum( - te.intersections for te in self._textedges["left"] if te.is_valid + te.intersections for te in self._textedges["left"] + if te.is_valid ), "right": sum( - te.intersections for te in self._textedges["right"] if te.is_valid + te.intersections for te in self._textedges["right"] + if te.is_valid ), "middle": sum( - te.intersections for te in self._textedges["middle"] if te.is_valid + te.intersections for te in self._textedges["middle"] + if te.is_valid ), } @@ -292,7 +296,10 @@ class Cell(object): def __repr__(self): return "".format( - round(self.x1, 2), round(self.y1, 2), round(self.x2, 2), round(self.y2, 2) + round(self.x1, 2), + round(self.y1, 2), + round(self.x2, 2), + round(self.y2, 2) ) @property @@ -342,7 +349,9 @@ class Table(object): def __init__(self, cols, rows): self.cols = cols self.rows = rows - self.cells = [[Cell(c[0], r[1], c[1], r[0]) for c in cols] for r in rows] + self.cells = [ + [Cell(c[0], r[1], c[1], r[0]) for c in cols] for r in rows + ] self.df = None self.shape = (0, 0) self.accuracy = 0 @@ -579,7 +588,8 @@ class Table(object): Output filepath. """ - kw = {"encoding": "utf-8", "index": False, "header": False, "quoting": 1} + kw = {"encoding": "utf-8", "index": False, "header": False, + "quoting": 1} kw.update(kwargs) self.df.to_csv(path, **kw) @@ -616,6 +626,7 @@ class Table(object): "encoding": "utf-8", } kw.update(kwargs) + # pylint: disable=abstract-class-instantiated writer = pd.ExcelWriter(path) self.df.to_excel(writer, **kw) writer.save() @@ -692,7 +703,8 @@ class TableList(object): ext = kwargs.get("ext") for table in self._tables: filename = os.path.join( - "{}-page-{}-table-{}{}".format(root, table.page, table.order, ext) + "{}-page-{}-table-{}{}".format(root, table.page, table.order, + ext) ) filepath = os.path.join(dirname, filename) to_format = self._format_func(table, f) @@ -707,7 +719,10 @@ class TableList(object): with zipfile.ZipFile(zipname, "w", allowZip64=True) as z: for table in self._tables: filename = os.path.join( - "{}-page-{}-table-{}{}".format(root, table.page, table.order, ext) + "{}-page-{}-table-{}{}".format(root, + table.page, + table.order, + ext) ) filepath = os.path.join(dirname, filename) z.write(filepath, os.path.basename(filepath)) @@ -739,10 +754,12 @@ class TableList(object): self._compress_dir(**kwargs) elif f == "excel": filepath = os.path.join(dirname, basename) + # pylint: disable=abstract-class-instantiated writer = pd.ExcelWriter(filepath) for table in self._tables: sheet_name = "page-{}-table-{}".format(table.page, table.order) - table.df.to_excel(writer, sheet_name=sheet_name, encoding="utf-8") + table.df.to_excel(writer, sheet_name=sheet_name, + encoding="utf-8") writer.save() if compress: zipname = os.path.join(os.path.dirname(path), root) + ".zip" diff --git a/camelot/handlers.py b/camelot/handlers.py index 3a6d663..a689ee5 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -113,14 +113,20 @@ class PDFHandler(object): outfile.addPage(p) with open(fpath, "wb") as f: outfile.write(f) - layout, dim = get_page_layout(fpath) + layout, __ = get_page_layout(fpath) # fix rotated PDF chars = get_text_objects(layout, ltype="char") horizontal_text = get_text_objects(layout, ltype="horizontal_text") vertical_text = get_text_objects(layout, ltype="vertical_text") rotation = get_rotation(chars, horizontal_text, vertical_text) if rotation != "": - fpath_new = "".join([froot.replace("page", "p"), "_rotated", fext]) + fpath_new = "".join( + [ + froot.replace("page", "p"), + "_rotated", + fext + ] + ) os.rename(fpath, fpath_new) infile = PdfFileReader(open(fpath_new, "rb"), strict=False) if infile.isEncrypted: @@ -136,7 +142,8 @@ class PDFHandler(object): outfile.write(f) def parse( - self, flavor="lattice", suppress_stdout=False, layout_kwargs={}, **kwargs + self, flavor="lattice", suppress_stdout=False, layout_kwargs=None, + **kwargs ): """Extracts tables by calling parser.get_tables on all single page PDFs. @@ -149,7 +156,7 @@ class PDFHandler(object): suppress_stdout : str (default: False) Suppress logs and warnings. layout_kwargs : dict, optional (default: {}) - A dict of `pdfminer.layout.LAParams `_ kwargs. + A dict of `pdfminer.layout.LAParams `_ kwargs. # noqa kwargs : dict See camelot.read_pdf kwargs. @@ -159,17 +166,21 @@ class PDFHandler(object): List of tables found in PDF. """ + layout_kwargs = layout_kwargs or {} tables = [] with TemporaryDirectory() as tempdir: for p in self.pages: self._save_page(self.filepath, p, tempdir) pages = [ - os.path.join(tempdir, "page-{0}.pdf".format(p)) for p in self.pages + os.path.join(tempdir, "page-{0}.pdf".format(p)) + for p in self.pages ] - parser = Lattice(**kwargs) if flavor == "lattice" else Stream(**kwargs) + parser = Lattice(**kwargs) \ + if flavor == "lattice" else Stream(**kwargs) for p in pages: t = parser.extract_tables( - p, suppress_stdout=suppress_stdout, layout_kwargs=layout_kwargs + p, suppress_stdout=suppress_stdout, + layout_kwargs=layout_kwargs ) tables.extend(t) return TableList(sorted(tables)) diff --git a/camelot/io.py b/camelot/io.py index a27a7c6..49d05cb 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -12,7 +12,7 @@ def read_pdf( password=None, flavor="lattice", suppress_stdout=False, - layout_kwargs={}, + layout_kwargs=None, **kwargs ): """Read PDF and return extracted tables. @@ -80,16 +80,16 @@ def read_pdf( Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on. - For more information, refer `OpenCV's adaptiveThreshold `_. + For more information, refer `OpenCV's adaptiveThreshold `_. # noqa threshold_constant* : int, optional (default: -2) Constant subtracted from the mean or weighted mean. Normally, it is positive but may be zero or negative as well. - For more information, refer `OpenCV's adaptiveThreshold `_. + For more information, refer `OpenCV's adaptiveThreshold `_. # noqa iterations* : int, optional (default: 0) Number of times for erosion/dilation is applied. - For more information, refer `OpenCV's dilate `_. + For more information, refer `OpenCV's dilate `_. # noqa resolution* : int, optional (default: 300) Resolution used for PDF to PNG conversion. @@ -98,6 +98,7 @@ def read_pdf( tables : camelot.core.TableList """ + layout_kwargs = layout_kwargs or {} if flavor not in ["lattice", "stream"]: raise NotImplementedError( "Unknown flavor specified." " Use either 'lattice' or 'stream'" diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index cb1bc21..5713625 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -12,9 +12,18 @@ class BaseParser(object): def _generate_layout(self, filename, layout_kwargs): self.filename = filename self.layout_kwargs = layout_kwargs - self.layout, self.dimensions = get_page_layout(filename, **layout_kwargs) + self.layout, self.dimensions = get_page_layout( + filename, + **layout_kwargs + ) self.images = get_text_objects(self.layout, ltype="image") - self.horizontal_text = get_text_objects(self.layout, ltype="horizontal_text") - self.vertical_text = get_text_objects(self.layout, ltype="vertical_text") + self.horizontal_text = get_text_objects( + self.layout, + ltype="horizontal_text" + ) + self.vertical_text = get_text_objects( + self.layout, + ltype="vertical_text" + ) self.pdf_width, self.pdf_height = self.dimensions self.rootname, __ = os.path.splitext(self.filename) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 197ff9f..3a40f47 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -2,14 +2,10 @@ from __future__ import division import os -import sys import copy -import locale import logging import warnings -import subprocess -import numpy as np import pandas as pd from .base import BaseParser @@ -80,7 +76,7 @@ class Lattice(BaseParser): Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on. - For more information, refer `OpenCV's adaptiveThreshold `_. + For more information, refer `OpenCV's adaptiveThreshold `_. # noqa threshold_constant : int, optional (default: -2) Constant subtracted from the mean or weighted mean. Normally, it is positive but may be zero or negative as well. @@ -102,7 +98,7 @@ class Lattice(BaseParser): process_background=False, line_scale=15, copy_text=None, - shift_text=["l", "t"], + shift_text=None, split_text=False, flag_size=False, strip_text="", @@ -114,6 +110,7 @@ class Lattice(BaseParser): resolution=300, **kwargs ): + shift_text = shift_text or ["l", "t"] self.table_regions = table_regions self.table_areas = table_areas self.process_background = process_background @@ -217,8 +214,7 @@ class Lattice(BaseParser): ) gs_call = gs_call.encode().split() null = open(os.devnull, "wb") - with Ghostscript(*gs_call, stdout=null) as gs: - pass + Ghostscript(*gs_call, stdout=null) null.close() def _generate_table_bbox(self): @@ -247,7 +243,8 @@ class Lattice(BaseParser): image_height_scaler = image_height / float(self.pdf_height) pdf_width_scaler = self.pdf_width / float(image_width) pdf_height_scaler = self.pdf_height / float(image_height) - image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height) + image_scalers = (image_width_scaler, + image_height_scaler, self.pdf_height) pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height) if self.table_areas is None: @@ -291,7 +288,11 @@ class Lattice(BaseParser): self.table_bbox_unscaled = copy.deepcopy(table_bbox) - self.table_bbox, self.vertical_segments, self.horizontal_segments = scale_image( + [ + self.table_bbox, + self.vertical_segments, + self.horizontal_segments + ] = scale_image( table_bbox, vertical_segments, horizontal_segments, pdf_scalers ) @@ -315,7 +316,10 @@ class Lattice(BaseParser): rows.extend([tk[1], tk[3]]) # sort horizontal and vertical segments cols = merge_close_lines(sorted(cols), line_tol=self.line_tol) - rows = merge_close_lines(sorted(rows, reverse=True), line_tol=self.line_tol) + rows = merge_close_lines( + sorted(rows, reverse=True), + line_tol=self.line_tol + ) # make grid using x and y coord of shortlisted rows and cols cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)] @@ -359,7 +363,10 @@ class Lattice(BaseParser): accuracy = compute_accuracy([[100, pos_errors]]) if self.copy_text is not None: - table = Lattice._copy_spanning_text(table, copy_text=self.copy_text) + table = Lattice._copy_spanning_text( + table, + copy_text=self.copy_text + ) data = table.data table.df = pd.DataFrame(data) @@ -383,20 +390,28 @@ class Lattice(BaseParser): return table - def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}): + def extract_tables( + self, + filename, + suppress_stdout=False, + layout_kwargs=None + ): + layout_kwargs = layout_kwargs or {} self._generate_layout(filename, layout_kwargs) + rootname = os.path.basename(self.rootname) if not suppress_stdout: - logger.info("Processing {}".format(os.path.basename(self.rootname))) + logger.info("Processing {rootname}".format(rootname=rootname)) if not self.horizontal_text: if self.images: warnings.warn( - "{} is image-based, camelot only works on" - " text-based pages.".format(os.path.basename(self.rootname)) + "{rootname} is image-based, " + "camelot only works on text-based pages." + .format(rootname=rootname) ) else: warnings.warn( - "No tables found on {}".format(os.path.basename(self.rootname)) + "No tables found on {rootname}".format(rootname=rootname) ) return [] @@ -408,8 +423,10 @@ class Lattice(BaseParser): for table_idx, tk in enumerate( sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) ): - cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk) - table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s) + cols, rows, v_s, h_s = self._generate_columns_and_rows( + table_idx, tk) + table = self._generate_table( + table_idx, cols, rows, v_s=v_s, h_s=h_s) table._bbox = tk _tables.append(table) diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 33f2fe5..4af0a0e 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -10,7 +10,8 @@ import pandas as pd from .base import BaseParser from ..core import TextEdges, Table -from ..utils import text_in_bbox, get_table_index, compute_accuracy, compute_whitespace +from ..utils import (text_in_bbox, get_table_index, compute_accuracy, + compute_whitespace) logger = logging.getLogger("camelot") @@ -70,6 +71,9 @@ class Stream(BaseParser): ): self.table_regions = table_regions self.table_areas = table_areas + self.table_bbox = None + self.t_bbox = None + self.textedges = [] self.columns = columns self._validate_columns() self.split_text = split_text @@ -95,10 +99,10 @@ class Stream(BaseParser): Tuple (x0, y0, x1, y1) in pdf coordinate space. """ - xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) - ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]]) - xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]]) - ymax = max([t.y1 for direction in t_bbox for t in t_bbox[direction]]) + xmin = min(t.x0 for direction in t_bbox for t in t_bbox[direction]) + ymin = min(t.y0 for direction in t_bbox for t in t_bbox[direction]) + xmax = max(t.x1 for direction in t_bbox for t in t_bbox[direction]) + ymax = max(t.y1 for direction in t_bbox for t in t_bbox[direction]) text_bbox = (xmin, ymin, xmax, ymax) return text_bbox @@ -119,21 +123,25 @@ class Stream(BaseParser): Two-dimensional list of text objects grouped into rows. """ - row_y = 0 + row_y = None rows = [] temp = [] - for t in text: + non_empty_text = [t for t in text if t.get_text().strip()] + for t in non_empty_text: # is checking for upright necessary? - # if t.get_text().strip() and all([obj.upright for obj in t._objs if - # type(obj) is LTChar]): - if t.get_text().strip(): - if not np.isclose(row_y, t.y0, atol=row_tol): - rows.append(sorted(temp, key=lambda t: t.x0)) - temp = [] - row_y = t.y0 - temp.append(t) + # if t.get_text().strip() and all([obj.upright \ + # for obj in t._objs + # if type(obj) is LTChar]): + if row_y is None: + row_y = t.y0 + elif not np.isclose(row_y, t.y0, atol=row_tol): + rows.append(sorted(temp, key=lambda t: t.x0)) + temp = [] + # We update the row's bottom as we go, to be forgiving if there + # is a gradual change across multiple columns. + row_y = t.y0 + temp.append(t) rows.append(sorted(temp, key=lambda t: t.x0)) - __ = rows.pop(0) # TODO: hacky return rows @staticmethod @@ -170,7 +178,8 @@ class Stream(BaseParser): merged.append(higher) elif column_tol < 0: if higher[0] <= lower[1]: - if np.isclose(higher[0], lower[1], atol=abs(column_tol)): + if np.isclose(higher[0], lower[1], + atol=abs(column_tol)): merged.append(higher) else: upper_bound = max(lower[1], higher[1]) @@ -198,10 +207,13 @@ class Stream(BaseParser): """ row_mids = [ - sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) if len(r) > 0 else 0 + sum((t.y0 + t.y1) / 2 for t in r) / len(r) if len(r) > 0 else 0 for r in rows_grouped ] - rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] + rows = [ + (row_mids[i] + row_mids[i - 1]) / 2 + for i in range(1, len(row_mids)) + ] rows.insert(0, text_y_max) rows.append(text_y_min) rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)] @@ -230,7 +242,9 @@ class Stream(BaseParser): text = Stream._group_rows(text, row_tol=row_tol) elements = [len(r) for r in text] new_cols = [ - (t.x0, t.x1) for r in text if len(r) == max(elements) for t in r + (t.x0, t.x1) + for r in text if len(r) == max(elements) + for t in r ] cols.extend(Stream._merge_columns(sorted(new_cols))) return cols @@ -262,12 +276,13 @@ class Stream(BaseParser): def _validate_columns(self): if self.table_areas is not None and self.columns is not None: if len(self.table_areas) != len(self.columns): - raise ValueError("Length of table_areas and columns" " should be equal") + raise ValueError("Length of table_areas and columns" + " should be equal") def _nurminen_table_detection(self, textlines): """A general implementation of the table detection algorithm described by Anssi Nurminen's master's thesis. - Link: https://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3 + Link: https://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3 # noqa Assumes that tables are situated relatively far apart vertically. @@ -284,7 +299,7 @@ class Stream(BaseParser): # guess table areas using textlines and relevant edges table_bbox = textedges.get_table_areas(textlines, relevant_textedges) # treat whole page as table area if no table areas found - if not len(table_bbox): + if not table_bbox: table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None} return table_bbox @@ -302,7 +317,8 @@ class Stream(BaseParser): y1 = float(y1) x2 = float(x2) y2 = float(y2) - region_text = text_in_bbox((x1, y2, x2, y1), self.horizontal_text) + region_text = text_in_bbox( + (x1, y2, x2, y1), self.horizontal_text) hor_text.extend(region_text) # find tables based on nurminen's detection algorithm table_bbox = self._nurminen_table_detection(hor_text) @@ -328,8 +344,10 @@ class Stream(BaseParser): self.t_bbox = t_bbox - text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox) - rows_grouped = self._group_rows(self.t_bbox["horizontal"], row_tol=self.row_tol) + text_x_min, text_y_min, text_x_max, text_y_max = \ + self._text_bbox(self.t_bbox) + rows_grouped = self._group_rows( + self.t_bbox["horizontal"], row_tol=self.row_tol) rows = self._join_rows(rows_grouped, text_y_max, text_y_min) elements = [len(r) for r in rows_grouped] @@ -354,14 +372,23 @@ class Stream(BaseParser): # see if the list contains elements, if yes, then use # the mode after removing 1s elements = list(filter(lambda x: x != 1, elements)) - if len(elements): + if elements: ncols = max(set(elements), key=elements.count) else: warnings.warn( - "No tables found in table area {}".format(table_idx + 1) + "No tables found in table area {}" + .format(table_idx + 1) ) - cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r] - cols = self._merge_columns(sorted(cols), column_tol=self.column_tol) + cols = [ + (t.x0, t.x1) + for r in rows_grouped + if len(r) == ncols + for t in r + ] + cols = self._merge_columns( + sorted(cols), + column_tol=self.column_tol + ) inner_text = [] for i in range(1, len(cols)): left = cols[i - 1][1] @@ -431,23 +458,30 @@ class Stream(BaseParser): return table - def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}): + def extract_tables(self, filename, suppress_stdout=False, + layout_kwargs=None): + layout_kwargs = layout_kwargs or {} self._generate_layout(filename, layout_kwargs) if not suppress_stdout: - logger.info("Processing {}".format(os.path.basename(self.rootname))) + logger.info("Processing {}".format( + os.path.basename(self.rootname))) if not self.horizontal_text: if self.images: warnings.warn( "{} is image-based, camelot only works on" - " text-based pages.".format(os.path.basename(self.rootname)) + " text-based pages.".format( + os.path.basename(self.rootname)) ) else: warnings.warn( - "No tables found on {}".format(os.path.basename(self.rootname)) + "No tables found on {}".format( + os.path.basename(self.rootname)) ) return [] + # Identify plausible areas within the doc where tables lie, + # populate table_bbox keys with these areas. self._generate_table_bbox() _tables = [] diff --git a/camelot/plotting.py b/camelot/plotting.py index 5e0dc0c..51928e9 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -37,7 +37,7 @@ class PlotMethods(object): raise NotImplementedError( "Lattice flavor does not support kind='{}'".format(kind) ) - elif table.flavor == "stream" and kind in ["joint", "line"]: + elif table.flavor == "stream" and kind in ["line"]: raise NotImplementedError( "Stream flavor does not support kind='{}'".format(kind) ) @@ -64,7 +64,13 @@ class PlotMethods(object): for t in table._text: xs.extend([t[0], t[2]]) ys.extend([t[1], t[3]]) - ax.add_patch(patches.Rectangle((t[0], t[1]), t[2] - t[0], t[3] - t[1])) + ax.add_patch( + patches.Rectangle( + (t[0], t[1]), + t[2] - t[0], + t[3] - t[1] + ) + ) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) return fig @@ -132,7 +138,8 @@ class PlotMethods(object): for t in table_bbox.keys(): ax.add_patch( patches.Rectangle( - (t[0], t[1]), t[2] - t[0], t[3] - t[1], fill=False, color="red" + (t[0], t[1]), t[2] - t[0], t[3] - t[1], + fill=False, color="red" ) ) if not _FOR_LATTICE: @@ -164,7 +171,10 @@ class PlotMethods(object): xs.extend([t[0], t[2]]) ys.extend([t[1], t[3]]) ax.add_patch( - patches.Rectangle((t[0], t[1]), t[2] - t[0], t[3] - t[1], color="blue") + patches.Rectangle( + (t[0], t[1]), t[2] - t[0], t[3] - t[1], + color="blue" + ) ) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) diff --git a/camelot/utils.py b/camelot/utils.py index e7ad848..c3bf723 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -30,6 +30,9 @@ from pdfminer.layout import ( ) +# pylint: disable=import-error +# PyLint will evaluate both branches, and will necessarily complain about one +# of them. PY3 = sys.version_info[0] >= 3 if PY3: from urllib.request import urlopen @@ -310,7 +313,8 @@ def get_rotation(chars, horizontal_text, vertical_text): if hlen < vlen: clockwise = sum(t.matrix[1] < 0 and t.matrix[2] > 0 for t in chars) anticlockwise = sum(t.matrix[1] > 0 and t.matrix[2] < 0 for t in chars) - rotation = "anticlockwise" if clockwise < anticlockwise else "clockwise" + rotation = "anticlockwise" if clockwise < anticlockwise \ + else "clockwise" return rotation @@ -341,12 +345,16 @@ def segments_in_bbox(bbox, v_segments, h_segments): v_s = [ v for v in v_segments - if v[1] > lb[1] - 2 and v[3] < rt[1] + 2 and lb[0] - 2 <= v[0] <= rt[0] + 2 + if v[1] > lb[1] - 2 and + v[3] < rt[1] + 2 and + lb[0] - 2 <= v[0] <= rt[0] + 2 ] h_s = [ h for h in h_segments - if h[0] > lb[0] - 2 and h[2] < rt[0] + 2 and lb[1] - 2 <= h[1] <= rt[1] + 2 + if h[0] > lb[0] - 2 and + h[2] < rt[0] + 2 and + lb[1] - 2 <= h[1] <= rt[1] + 2 ] return v_s, h_s @@ -464,10 +472,10 @@ def flag_font_size(textline, direction, strip_text=""): for t in textline if not isinstance(t, LTAnno) ] - l = [np.round(size, decimals=6) for text, size in d] - if len(set(l)) > 1: + text_sizes = [np.round(size, decimals=6) for text, size in d] + if len(set(text_sizes)) > 1: flist = [] - min_size = min(l) + min_size = min(text_sizes) for key, chars in groupby(d, itemgetter(1)): if key == min_size: fchars = [t[0] for t in chars] @@ -511,7 +519,6 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): of row/column and text is the an lttextline substring. """ - idx = 0 cut_text = [] bbox = textline.bbox try: @@ -528,7 +535,9 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): ] r = r_idx[0] x_cuts = [ - (c, table.cells[r][c].x2) for c in x_overlap if table.cells[r][c].right + (c, table.cells[r][c].x2) + for c in x_overlap + if table.cells[r][c].right ] if not x_cuts: x_cuts = [(x_overlap[0], table.cells[r][-1].x2)] @@ -561,7 +570,9 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): ] c = c_idx[0] y_cuts = [ - (r, table.cells[r][c].y1) for r in y_overlap if table.cells[r][c].bottom + (r, table.cells[r][c].y1) + for r in y_overlap + if table.cells[r][c].bottom ] if not y_cuts: y_cuts = [(y_overlap[0], table.cells[-1][c].y1)] @@ -644,9 +655,8 @@ def get_table_index( """ r_idx, c_idx = [-1] * 2 for r in range(len(table.rows)): - if (t.y0 + t.y1) / 2.0 < table.rows[r][0] and (t.y0 + t.y1) / 2.0 > table.rows[ - r - ][1]: + if (t.y0 + t.y1) / 2.0 < table.rows[r][0] and \ + (t.y0 + t.y1) / 2.0 > table.rows[r][1]: lt_col_overlap = [] for c in table.cols: if c[0] <= t.x1 and c[1] >= t.x0: @@ -681,7 +691,9 @@ def get_table_index( X = 1.0 if abs(t.x0 - t.x1) == 0.0 else abs(t.x0 - t.x1) Y = 1.0 if abs(t.y0 - t.y1) == 0.0 else abs(t.y0 - t.y1) charea = X * Y - error = ((X * (y0_offset + y1_offset)) + (Y * (x0_offset + x1_offset))) / charea + error = ( + (X * (y0_offset + y1_offset)) + (Y * (x0_offset + x1_offset)) + ) / charea if split_text: return ( @@ -697,13 +709,16 @@ def get_table_index( ( r_idx, c_idx, - flag_font_size(t._objs, direction, strip_text=strip_text), + flag_font_size(t._objs, + direction, + strip_text=strip_text), ) ], error, ) else: - return [(r_idx, c_idx, text_strip(t.get_text(), strip_text))], error + return [(r_idx, c_idx, text_strip(t.get_text(), strip_text))], \ + error def compute_accuracy(error_weights): @@ -751,7 +766,6 @@ def compute_whitespace(d): """ whitespace = 0 - r_nempty_cells, c_nempty_cells = [], [] for i in d: for j in i: if j.strip() == "": @@ -811,6 +825,7 @@ def get_page_layout( width = layout.bbox[2] height = layout.bbox[3] dim = (width, height) + break # we assume a single page pdf return layout, dim diff --git a/docs/index.rst b/docs/index.rst index e6e2f23..950240e 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -33,6 +33,9 @@ Release v\ |version|. (:ref:`Installation `) .. image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/ambv/black +.. image:: https://img.shields.io/badge/continous%20quality-deepsource-lightgrey + :target: https://deepsource.io/gh/camelot-dev/camelot/?ref=repository-badge + **Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files! .. note:: You can also check out `Excalibur`_, which is a web interface for Camelot! @@ -86,6 +89,13 @@ See `comparison with other PDF table extraction libraries and tools`_. .. _ETL and data analysis workflows: https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873 .. _comparison with other PDF table extraction libraries and tools: https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools +Support us on OpenCollective +---------------------------- + +If Camelot helped you extract tables from PDFs, please consider supporting its development by `becoming a backer or a sponsor on OpenCollective`_! + +.. _becoming a backer or a sponsor on OpenCollective: https://opencollective.com/camelot + The User Guide -------------- diff --git a/docs/user/how-it-works.rst b/docs/user/how-it-works.rst index 13004da..9c198ba 100644 --- a/docs/user/how-it-works.rst +++ b/docs/user/how-it-works.rst @@ -20,7 +20,7 @@ Stream can be used to parse tables that have whitespaces between cells to simula 3. The number of columns inside each table area are then guessed. This is done by calculating the mode of number of words in each text row. Based on this mode, words in each text row are chosen to calculate a list of column *x* ranges. -4. Words that lie inside/outside the current column *x* ranges are then used to extend extend the current list of columns. +4. Words that lie inside/outside the current column *x* ranges are then used to extend the current list of columns. 5. Finally, a table is formed using the text rows' *y* ranges and column *x* ranges and words found on the page are assigned to the table's cells based on their *x* and *y* coordinates. diff --git a/docs/user/install.rst b/docs/user/install.rst index b3d4813..4bbf491 100644 --- a/docs/user/install.rst +++ b/docs/user/install.rst @@ -13,7 +13,7 @@ The easiest way to install Camelot is to install it with `conda`_, which is a pa $ conda install -c conda-forge camelot-py -.. note:: Camelot is available for Python 2.7, 3.5, 3.6 and 3.7 on Linux, macOS and Windows. For Windows, you will need to install ghostscript which you can get from their `downloads page`_. +.. note:: Camelot is available for Python 3.5, 3.6 and 3.7 on Linux, macOS and Windows. For Windows, you will need to install ghostscript which you can get from their `downloads page`_. .. _conda: https://conda.io/docs/ .. _Anaconda: http://docs.continuum.io/anaconda/ diff --git a/requirements.txt b/requirements.txt index f815e26..764c037 100755 --- a/requirements.txt +++ b/requirements.txt @@ -4,5 +4,5 @@ numpy>=1.13.3 opencv-python>=3.4.2.17 openpyxl>=2.5.8 pandas>=0.23.4 -pdfminer.six>=20170720 +pdfminer.six>=20200402 PyPDF2>=1.26.0 diff --git a/setup.py b/setup.py index b83f566..b2e90f5 100644 --- a/setup.py +++ b/setup.py @@ -19,7 +19,7 @@ requires = [ 'numpy>=1.13.3', 'openpyxl>=2.5.8', 'pandas>=0.23.4', - 'pdfminer.six>=20170720', + 'pdfminer.six>=20200402', 'PyPDF2>=1.26.0' ] @@ -69,9 +69,8 @@ def setup_package(): }, classifiers=[ # Trove classifiers - # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers + # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers # noqa 'License :: OSI Approved :: MIT License', - 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7' diff --git a/tests/data.py b/tests/data.py index 3338a81..1017160 100755 --- a/tests/data.py +++ b/tests/data.py @@ -4,16 +4,6 @@ from __future__ import unicode_literals data_stream = [ - [ - "", - "Table: 5 Public Health Outlay 2012-13 (Budget Estimates) (Rs. in 000)", - "", - "", - "", - "", - "", - "", - ], ["States-A", "Revenue", "", "Capital", "", "Total", "Others(1)", "Total"], ["", "", "", "", "", "Revenue &", "", ""], ["", "Medical &", "Family", "Medical &", "Family", "", "", ""], @@ -80,7 +70,8 @@ data_stream = [ "5,000", "33,051,480", ], - ["Goa", "4,055,567", "110,000", "330,053", "0", "4,495,620", "12,560", "4,508,180"], + ["Goa", "4,055,567", "110,000", "330,053", "0", "4,495,620", "12,560", + "4,508,180"], [ "Gujarat", "26,328,400", @@ -171,7 +162,8 @@ data_stream = [ "313,762", "67,044,159", ], - ["Manipur", "2,494,600", "187,700", "897,400", "0", "3,579,700", "0", "3,579,700"], + ["Manipur", "2,494,600", "187,700", "897,400", "0", "3,579,700", + "0", "3,579,700"], [ "Meghalaya", "2,894,093", @@ -236,7 +228,8 @@ data_stream = [ data_stream_table_rotated = [ [ - "Table 21 Current use of contraception by background characteristics\u2014Continued", + "Table 21 Current use of contraception by background characteristics" + "\u2014Continued", "", "", "", @@ -330,7 +323,8 @@ data_stream_table_rotated = [ "Total", "women", ], - ["Caste/tribe", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], + ["Caste/tribe", "", "", "", "", "", "", "", "", "", "", "", "", "", "", + "", ""], [ "Scheduled caste", "74.8", @@ -407,7 +401,8 @@ data_stream_table_rotated = [ "100.0", "3,319", ], - ["Wealth index", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], + ["Wealth index", "", "", "", "", "", "", "", "", "", "", "", "", + "", "", "", ""], [ "Lowest", "64.5", @@ -830,7 +825,8 @@ data_stream_table_rotated = [ data_stream_two_tables_1 = [ [ - "[In thousands (11,062.6 represents 11,062,600) For year ending December 31. Based on Uniform Crime Reporting (UCR)", + "Program. Represents arrests reported (not charged) by 12,910 " + "agencies with a total population of 247,526,916 as estimated", "", "", "", @@ -842,7 +838,8 @@ data_stream_two_tables_1 = [ "", ], [ - "Program. Represents arrests reported (not charged) by 12,910 agencies with a total population of 247,526,916 as estimated", + "by the FBI. Some persons may be arrested more than once during a " + "year, therefore, the data in this table, in some cases,", "", "", "", @@ -854,19 +851,8 @@ data_stream_two_tables_1 = [ "", ], [ - "by the FBI. Some persons may be arrested more than once during a year, therefore, the data in this table, in some cases,", - "", - "", - "", - "", - "", - "", - "", - "", - "", - ], - [ - "could represent multiple arrests of the same person. See text, this section and source]", + "could represent multiple arrests of the same person. See text, " + "this section and source]", "", "", "", @@ -903,7 +889,8 @@ data_stream_two_tables_1 = [ "and over", ], [ - "Total .\n .\n . . . . . .\n . .\n . .\n . .\n . .\n . .\n . .\n . .\n . . .", + "Total .\n .\n . . . . . .\n . .\n . .\n . .\n . .\n . " + ".\n . .\n . .\n . . .", "11,062 .6", "1,540 .0", "9,522 .6", @@ -915,7 +902,8 @@ data_stream_two_tables_1 = [ "2,330 .9", ], [ - "Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n . .", + "Violent crime . . . . . . . .\n . .\n . .\n . .\n . " + ".\n . .", "467 .9", "69 .1", "398 .8", @@ -976,7 +964,8 @@ data_stream_two_tables_1 = [ "64.5", ], [ - "Property crime . . . .\n . .\n . . .\n . . .\n .\n . . . .", + "Property crime . . . .\n . .\n . . .\n . . .\n .\n . . " + ". .", "1,396 .4", "338 .7", "1,057 .7", @@ -1060,7 +1049,8 @@ data_stream_two_tables_1 = [ "25.5", ], [ - "Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n.", + "Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. " + ".\n.\n.\n.", "173.7", "5.1", "168.5", @@ -1290,19 +1280,8 @@ data_stream_two_tables_1 = [ ], [ "", - "– Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.", - "", - "", - "", - "", - "", - "", - "", - "", - ], - [ - "", - "Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.", + "– Represents zero. X Not applicable. 1 Buying, receiving, " + "possessing stolen property. 2 Except forcible rape and prostitution.", "", "", "", @@ -1315,17 +1294,10 @@ data_stream_two_tables_1 = [ ] data_stream_two_tables_2 = [ - [ - "", - "Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.", - "", - "", - "", - "", - ], ["Table 325. Arrests by Race: 2009", "", "", "", "", ""], [ - "[Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies", + "[Based on Uniform Crime Reporting (UCR) Program. Represents " + "arrests reported (not charged) by 12,371 agencies", "", "", "", @@ -1333,7 +1305,8 @@ data_stream_two_tables_2 = [ "", ], [ - "with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]", + "with a total population of 239,839,971 as estimated by the FBI. " + "See headnote, Table 324]", "", "", "", @@ -1344,7 +1317,8 @@ data_stream_two_tables_2 = [ ["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"], ["", "Total", "White", "Black", "Native", "Islander"], [ - "Total .\n .\n .\n .\n . .\n . . .\n . . .\n .\n . . .\n .\n . . .\n . .\n .\n . . .\n .\n .\n .\n . .\n . .\n . .", + "Total .\n .\n .\n .\n . .\n . . .\n . . .\n .\n . . .\n " + ".\n . . .\n . .\n .\n . . .\n .\n .\n .\n . .\n . .\n . .", "10,690,561", "7,389,208", "3,027,153", @@ -1352,7 +1326,8 @@ data_stream_two_tables_2 = [ "123,656", ], [ - "Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .", + "Violent crime . . . . . . . .\n . .\n . .\n . .\n . " + ".\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .", "456,965", "268,346", "177,766", @@ -1368,7 +1343,8 @@ data_stream_two_tables_2 = [ "97", ], [ - "Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", + "Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. " + ".\n.\n.\n.\n.\n. .", "16,362", "10,644", "5,319", @@ -1376,7 +1352,8 @@ data_stream_two_tables_2 = [ "230", ], [ - "Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", + "Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. " + ".\n.\n.\n. .\n.\n.\n. . . .", "100,496", "43,039", "55,742", @@ -1384,7 +1361,8 @@ data_stream_two_tables_2 = [ "989", ], [ - "Aggravated assault . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. .\n.\n.\n.", + "Aggravated assault . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. " + ".\n.\n.\n.", "330,368", "209,922", "111,904", @@ -1392,7 +1370,8 @@ data_stream_two_tables_2 = [ "3,929", ], [ - "Property crime . . . . .\n . . . . .\n .\n . . .\n .\n . .\n .\n .\n .\n . .\n .\n . .\n .\n .", + "Property crime . . . . .\n . . . . .\n .\n . . .\n .\n " + ". .\n .\n .\n .\n . .\n .\n . .\n .\n .", "1,364,409", "922,139", "406,382", @@ -1400,7 +1379,8 @@ data_stream_two_tables_2 = [ "18,289", ], [ - "Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n. . . .", + "Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. " + ".\n.\n.\n. .\n.\n. . . .", "234,551", "155,994", "74,419", @@ -1408,7 +1388,8 @@ data_stream_two_tables_2 = [ "2,117", ], [ - "Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", + "Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. " + ".\n.\n.\n.\n.\n. .", "1,056,473", "719,983", "306,625", @@ -1416,7 +1397,8 @@ data_stream_two_tables_2 = [ "15,219", ], [ - "Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", + "Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. " + ".\n.\n. .\n.", "63,919", "39,077", "23,184", @@ -1424,7 +1406,8 @@ data_stream_two_tables_2 = [ "841", ], [ - "Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . . . .", + "Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. " + ".\n.\n.\n. .\n.\n.\n. . . . . .", "9,466", "7,085", "2,154", @@ -1432,7 +1415,8 @@ data_stream_two_tables_2 = [ "112", ], [ - "Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", + "Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. " + ".\n.\n.\n.\n. .\n.\n. .\n.", "1,032,502", "672,865", "332,435", @@ -1440,7 +1424,8 @@ data_stream_two_tables_2 = [ "12,075", ], [ - "Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. .\n. .\n.", + "Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. " + ".\n. .\n.", "67,054", "44,730", "21,251", @@ -1448,7 +1433,8 @@ data_stream_two_tables_2 = [ "728", ], [ - "Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. . . . . . .", + "Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. " + ".\n.\n.\n. . . . . . .", "161,233", "108,032", "50,367", @@ -1456,7 +1442,8 @@ data_stream_two_tables_2 = [ "1,519", ], [ - "Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n. .\n.\n.\n.\n.", + "Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. " + ".\n.\n. .\n.\n.\n.\n.", "13,960", "9,208", "4,429", @@ -1472,7 +1459,8 @@ data_stream_two_tables_2 = [ "742", ], [ - "Vandalism . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .", + "Vandalism . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. " + ".\n. .\n.\n.\n.\n. .", "212,173", "157,723", "48,746", @@ -1496,7 +1484,8 @@ data_stream_two_tables_2 = [ "1,413", ], [ - "Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", + "Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. " + ".\n.\n.\n.\n.\n. .", "60,175", "44,240", "14,347", @@ -1504,7 +1493,8 @@ data_stream_two_tables_2 = [ "873", ], [ - "Drug abuse violations . . . . . . . .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", + "Drug abuse violations . . . . . . . .\n. . .\n.\n.\n.\n. .\n. " + ".\n.\n.\n.\n.", "1,301,629", "845,974", "437,623", @@ -1512,7 +1502,8 @@ data_stream_two_tables_2 = [ "9,444", ], [ - "Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . .\n.\n.\n.\n.\n. .\n. .", + "Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . " + ".\n.\n.\n.\n.\n. .\n. .", "8,046", "2,290", "5,518", @@ -1528,7 +1519,8 @@ data_stream_two_tables_2 = [ "624", ], [ - "Driving under the influence . . . . . . .\n. .\n.\n. .\n.\n.\n.\n.\n. .", + "Driving under the influence . . . . . . .\n. .\n.\n. " + ".\n.\n.\n.\n.\n. .", "1,105,401", "954,444", "121,594", @@ -1536,7 +1528,8 @@ data_stream_two_tables_2 = [ "14,460", ], [ - "Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", + "Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. . " + ".\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "444,087", "373,189", "50,431", @@ -1544,7 +1537,8 @@ data_stream_two_tables_2 = [ "5,591", ], [ - "Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . .\n.\n.\n.\n.\n.\n.", + "Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . " + ".\n.\n.\n.\n.\n.\n.", "469,958", "387,542", "71,020", @@ -1552,7 +1546,8 @@ data_stream_two_tables_2 = [ "2,844", ], [ - "Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", + "Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. " + ".\n.\n.\n.\n.", "515,689", "326,563", "176,169", @@ -1560,7 +1555,8 @@ data_stream_two_tables_2 = [ "4,174", ], [ - "Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", + "Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. " + ".\n.\n.\n. .\n.\n.\n. . . .", "26,347", "14,581", "11,031", @@ -1568,7 +1564,8 @@ data_stream_two_tables_2 = [ "192", ], [ - "All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n.\n.\n. .\n.", + "All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n.\n.\n. " + ".\n.", "2,929,217", "1,937,221", "911,670", @@ -1576,7 +1573,8 @@ data_stream_two_tables_2 = [ "36,446", ], [ - "Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.\n.\n. .\n. . . .", + "Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. " + ".\n.\n.\n.\n.\n. .\n. . . .", "1,513", "677", "828", @@ -1592,7 +1590,8 @@ data_stream_two_tables_2 = [ "1,060", ], [ - "Runaways . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .", + "Runaways . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. " + ".\n. .\n.\n.\n.\n. .", "73,616", "48,343", "19,670", @@ -1600,14 +1599,6 @@ data_stream_two_tables_2 = [ "3,950", ], ["1 Except forcible rape and prostitution.", "", "", "", "", ""], - [ - "", - "Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,", - "", - "", - "", - "", - ], ] data_stream_table_areas = [ @@ -1634,10 +1625,12 @@ data_stream_columns = [ "Nombre Localidad", ], ["Entidad", "", "Municipio", "", "Localidad", ""], - ["01", "Aguascalientes", "001", "Aguascalientes", "0094", "Granja Adelita"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0094", + "Granja Adelita"], ["01", "Aguascalientes", "001", "Aguascalientes", "0096", "Agua Azul"], ["01", "Aguascalientes", "001", "Aguascalientes", "0100", "Rancho Alegre"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0102", "Los Arbolitos [Rancho]"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0102", + "Los Arbolitos [Rancho]"], [ "01", "Aguascalientes", @@ -1655,7 +1648,8 @@ data_stream_columns = [ "0112", "Baj\xedo los V\xe1zquez", ], - ["01", "Aguascalientes", "001", "Aguascalientes", "0113", "Baj\xedo de Montoro"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0113", + "Baj\xedo de Montoro"], [ "01", "Aguascalientes", @@ -1697,8 +1691,10 @@ data_stream_columns = [ "Ca\xf1ada Honda [Estaci\xf3n]", ], ["01", "Aguascalientes", "001", "Aguascalientes", "0127", "Los Ca\xf1os"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0128", "El Cari\xf1\xe1n"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0129", "El Carmen [Granja]"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0128", + "El Cari\xf1\xe1n"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0129", + "El Carmen [Granja]"], [ "01", "Aguascalientes", @@ -1733,9 +1729,11 @@ data_stream_columns = [ "El Colorado (El Soyatal)", ], ["01", "Aguascalientes", "001", "Aguascalientes", "0146", "El Conejal"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0157", "Cotorina de Abajo"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0157", + "Cotorina de Abajo"], ["01", "Aguascalientes", "001", "Aguascalientes", "0162", "Coyotes"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0166", "La Huerta (La Cruz)"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0166", + "La Huerta (La Cruz)"], [ "01", "Aguascalientes", @@ -1752,17 +1750,20 @@ data_stream_columns = [ "0171", "Los Cuervos (Los Ojos de Agua)", ], - ["01", "Aguascalientes", "001", "Aguascalientes", "0172", "San Jos\xe9 [Granja]"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0172", + "San Jos\xe9 [Granja]"], ["01", "Aguascalientes", "001", "Aguascalientes", "0176", "La Chiripa"], ["01", "Aguascalientes", "001", "Aguascalientes", "0182", "Dolores"], ["01", "Aguascalientes", "001", "Aguascalientes", "0183", "Los Dolores"], ["01", "Aguascalientes", "001", "Aguascalientes", "0190", "El Duraznillo"], ["01", "Aguascalientes", "001", "Aguascalientes", "0191", "Los Dur\xf3n"], ["01", "Aguascalientes", "001", "Aguascalientes", "0197", "La Escondida"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0201", "Brande Vin [Bodegas]"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0201", + "Brande Vin [Bodegas]"], ["01", "Aguascalientes", "001", "Aguascalientes", "0207", "Valle Redondo"], ["01", "Aguascalientes", "001", "Aguascalientes", "0209", "La Fortuna"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0212", "Lomas del Gachup\xedn"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0212", + "Lomas del Gachup\xedn"], [ "01", "Aguascalientes", @@ -1772,22 +1773,12 @@ data_stream_columns = [ "El Carmen (Gallinas G\xfceras) [Rancho]", ], ["01", "Aguascalientes", "001", "Aguascalientes", "0216", "La Gloria"], - ["01", "Aguascalientes", "001", "Aguascalientes", "0226", "Hacienda Nueva"], + ["01", "Aguascalientes", "001", "Aguascalientes", "0226", + "Hacienda Nueva"], ] data_stream_split_text = [ - [ - "FEB", - "RUAR", - "Y 2014 M27 (BUS)", - "", - "ALPHABETIC LISTING BY T", - "YPE", - "", - "", - "", - "ABLPDM27", - ], + ["FEB", "RUAR", "Y 2014 M27 (BUS)", "", "", "", "", "", "", ""], ["", "", "", "", "OF ACTIVE LICENSES", "", "", "", "", "3/19/2014"], ["", "", "", "", "OKLAHOMA ABLE COMMIS", "SION", "", "", "", ""], ["LICENSE", "", "", "", "PREMISE", "", "", "", "", ""], @@ -1977,7 +1968,18 @@ data_stream_split_text = [ "(872) 825-8309", "2014/04/11", ], - ["", "", "A SENSU JAPANESE", "", "7123 SOUTH 92ND EAST", "", "", "", "", ""], + [ + "", + "", + "A SENSU JAPANESE", + "", + "7123 SOUTH 92ND EAST", + "", + "", + "", + "", + "", + ], [ "625422", "BAW", @@ -2029,7 +2031,18 @@ data_stream_split_text = [ "(580) 928-2700", "2014/09/08", ], - ["", "", "ANDOLINI'S PIZZERIA &", "", "12140 EAST 96TH STREET", "", "", "", "", ""], + [ + "", + "", + "ANDOLINI'S PIZZERIA &", + "", + "12140 EAST 96TH STREET", + "", + "", + "", + "", + "", + ], [ "428377", "BAW", @@ -2148,7 +2161,8 @@ data_stream_flag_size = [ "from SBI", "from", ], - ["", "Debt", "", "", "RBI", "Banks", "LIC", "GIC", "NABARD", "& Other", "NCDC"], + ["", "Debt", "", "", "RBI", "Banks", "LIC", "GIC", "NABARD", "& Other", + "NCDC"], ["", "", "", "", "", "& FIs", "", "", "", "Banks", ""], ["1", "2=", "3", "4", "5", "6=", "7", "8", "9", "10", "11"], ["", "(3 to 6)+14", "", "", "", "(7 to13)", "", "", "", "", ""], @@ -2165,7 +2179,8 @@ data_stream_flag_size = [ "-", "0.25", ], - ["Arunachal Pradesh", "1.23", "1.1", "-", "-", "0.13", "-", "-", "-", "-", "-"], + ["Arunachal Pradesh", "1.23", "1.1", "-", "-", "0.13", "-", "-", "-", + "-", "-"], [ "Assam", "12.69", @@ -2194,8 +2209,10 @@ data_stream_flag_size = [ ], ["Chhattisgarh", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"], ["Goa", "1.4", "1.02", "-", "-", "0.38", "0.31", "-", "0.07", "-", "-"], - ["Gujarat", "19.75", "17.1", "-", "-", "2.64", "1.17", "-", "1.11", "-", "0.44"], - ["Haryana", "11.53", "9.67", "-", "0.06", "1.8", "0.55", "-", "0.64", "-", "0.49"], + ["Gujarat", "19.75", "17.1", "-", "-", "2.64", "1.17", "-", "1.11", + "-", "0.44"], + ["Haryana", "11.53", "9.67", "-", "0.06", "1.8", "0.55", "-", "0.64", + "-", "0.49"], [ "Himachal Pradesh", "8.02", @@ -2223,7 +2240,8 @@ data_stream_flag_size = [ "-", ], ["Jharkhand", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"], - ["Karnataka", "22.44", "19.59", "-", "-", "2.86", "1.22", "-", "0.89", "-", "0.69"], + ["Karnataka", "22.44", "19.59", "-", "-", "2.86", "1.22", "-", "0.89", + "-", "0.69"], [ "Kerala", "29.03", @@ -2263,11 +2281,16 @@ data_stream_flag_size = [ "0.02", "2.89", ], - ["Manipur", "2.17", "1.61", "-", "0.26", "0.29", "0.08", "-", "-", "-", "0.09"], - ["Meghalaya", "1.36", "1.38", "-", "-", "-0.02", "0.04", "-", "-0.05", "-", "0.03"], - ["Mizoram", "1.17", "0.46", "-", "0.27", "0.43", "0.11", "-", "-", "-", "0.03"], - ["Nagaland", "2.99", "2.6", "-", "-", "0.39", "0.24", "-", "-", "-", "0.04"], - ["Odisha", "34.04", "27.58", "-", "4.4", "2.06", "0.56", "-", "0.66", "-", "0.2"], + ["Manipur", "2.17", "1.61", "-", "0.26", "0.29", "0.08", "-", "-", "-", + "0.09"], + ["Meghalaya", "1.36", "1.38", "-", "-", "-0.02", "0.04", "-", "-0.05", + "-", "0.03"], + ["Mizoram", "1.17", "0.46", "-", "0.27", "0.43", "0.11", "-", "-", + "-", "0.03"], + ["Nagaland", "2.99", "2.6", "-", "-", "0.39", "0.24", "-", "-", "-", + "0.04"], + ["Odisha", "34.04", "27.58", "-", "4.4", "2.06", "0.56", "-", "0.66", + "-", "0.2"], [ "Punjab", "19.18", @@ -2295,8 +2318,10 @@ data_stream_flag_size = [ "0.81", ], ["Sikkim", "0.16", "-", "-", "-", "0.16", "0.03", "-", "-", "-", "0.01"], - ["Tamil Nadu", "34.11", "31.41", "-", "-", "2.7", "1.3", "-", "0.6", "-", "0.68"], - ["Tripura", "2.3", "1.89", "-", "-", "0.41", "0.41", "-", "-0.05", "-", "0.02"], + ["Tamil Nadu", "34.11", "31.41", "-", "-", "2.7", "1.3", "-", "0.6", "-", + "0.68"], + ["Tripura", "2.3", "1.89", "-", "-", "0.41", "0.41", "-", "-0.05", "-", + "0.02"], ["Uttaranchal", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"], [ "Uttar Pradesh", @@ -2393,11 +2418,13 @@ data_stream_edge_tol = [ ["Costs", "(0.21)"], ["T\notal investment result per unit", "3.78"], [ - "1 The results cover the period from inception of the Fund at 8 April 2016 through 31 December 2016.", + "1 The results cover the period from inception of the Fund at " + "8 April 2016 through 31 December 2016.", "", ], [ - "2 The result per unit is calculated using the total number of outstanding unit as per the end of the", + "2 The result per unit is calculated using the total number of " + "outstanding unit as per the end of the", "", ], ["period.", ""], @@ -2454,7 +2481,8 @@ data_lattice_table_rotated = [ "Men", "Women", ], - ["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645", "2391"], + ["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645", + "2391"], [ "Tamil Nadu", "7387", @@ -2503,11 +2531,16 @@ data_lattice_table_rotated = [ "1417", "1599", ], - ["Gujarat", "4403", "5374", "4866", "9645", "477", "2687", "3021", "2122", "2503"], - ["Madhya Pradesh", "*", "*", "*", "7942", "470", "1965", "2150", "1579", "1709"], - ["Orissa", "3756", "5540", "12024", "8473", "398", "2040", "2624", "1093", "1628"], - ["West Bengal", "*", "*", "*", "8047", "423", "2058", "2743", "1413", "2027"], - ["Uttar Pradesh", "*", "*", "*", "9860", "581", "2139", "2415", "1185", "1366"], + ["Gujarat", "4403", "5374", "4866", "9645", "477", "2687", "3021", "2122", + "2503"], + ["Madhya Pradesh", "*", "*", "*", "7942", "470", "1965", "2150", "1579", + "1709"], + ["Orissa", "3756", "5540", "12024", "8473", "398", "2040", "2624", "1093", + "1628"], + ["West Bengal", "*", "*", "*", "8047", "423", "2058", "2743", "1413", + "2027"], + ["Uttar Pradesh", "*", "*", "*", "9860", "581", "2139", "2415", "1185", + "1366"], [ "Pooled", "38742", @@ -2573,7 +2606,8 @@ data_lattice_two_tables_2 = [ ] data_lattice_table_regions = [ - ["Età dell’Assicurato \nall’epoca del decesso", "Misura % di \nmaggiorazione"], + ["Età dell’Assicurato \nall’epoca del decesso", + "Misura % di \nmaggiorazione"], ["18-75", "1,00%"], ["76-80", "0,50%"], ["81 in poi", "0,10%"], @@ -2596,10 +2630,12 @@ data_lattice_table_areas = [ ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5", ""], ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2", ""], ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8", ""], - ["Andhra Pradesh", "2400", "54.0", "1.7", "8.4", "13.2", "18.8", "3.9", ""], + ["Andhra Pradesh", "2400", "54.0", "1.7", "8.4", "13.2", "18.8", "3.9", + ""], ["Maharashtra", "2400", "22.0", "0.9", "17.3", "20.3", "32.6", "7.0", ""], ["Gujarat", "2390", "28.6", "0.1", "14.4", "23.1", "26.9", "6.8", ""], - ["Madhya Pradesh", "2402", "29.1", "3.4", "8.5", "35.1", "13.3", "10.6", ""], + ["Madhya Pradesh", "2402", "29.1", "3.4", "8.5", "35.1", "13.3", "10.6", + ""], ["Orissa", "2405", "33.2", "1.0", "10.4", "25.7", "21.2", "8.5", ""], ["West Bengal", "2293", "41.7", "4.4", "13.2", "17.1", "21.2", "2.4", ""], ["Uttar Pradesh", "2400", "35.3", "2.1", "4.5", "23.3", "27.1", "7.6", ""], @@ -2650,7 +2686,8 @@ data_lattice_process_background = [ "3,658", "3,183", ], - ["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"], + ["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173", + "855"], ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"], ] @@ -2689,7 +2726,8 @@ data_lattice_copy_text = [ ["COHS", "San Mateo", "Health Plan of San Mateo", "113,202"], ["COHS", "Ventura", "Gold Coast Health Plan", "202,217"], ["COHS", "Total COHS Enrollment", "", "2,176,064"], - ["Subtotal for Two-Plan, Regional Model, GMC and COHS", "", "", "10,132,022"], + ["Subtotal for Two-Plan, Regional Model, GMC and COHS", "", "", + "10,132,022"], ["PCCM", "Los Angeles", "AIDS Healthcare Foundation", "828"], ["PCCM", "San Francisco", "Family Mosaic", "25"], ["PCCM", "Total PHP Enrollment", "", "853"], @@ -2721,7 +2759,8 @@ data_lattice_shift_text_left_top = [ ], ["Blood Pressure #", "2400", "Men (≥ 18yrs)", "10%", "95%", "20%", "1728"], ["", "", "Women (≥ 18 yrs)", "", "", "", "1728"], - ["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%", "1825"], + ["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%", + "1825"], ["", "", "Women (≥ 18 yrs)", "", "", "", "1825"], [ "Knowledge &\nPractices on HTN &\nDM", @@ -2746,7 +2785,8 @@ data_lattice_shift_text_disable = [ "Sample size\nper State", ], ["Anthropometry", "", "", "", "", "", ""], - ["Clinical Examination", "2400", "", "All the available individuals", "", "", ""], + ["Clinical Examination", "2400", "", "All the available individuals", + "", "", ""], ["History of morbidity", "", "", "", "", "", ""], [ "Diet survey", @@ -2758,9 +2798,11 @@ data_lattice_shift_text_disable = [ "", ], ["", "", "Men (≥ 18yrs)", "", "", "", "1728"], - ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"], + ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", + "1728"], ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"], - ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"], + ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", + "1825"], [ "Knowledge &\nPractices on HTN &", "2400", @@ -2785,7 +2827,8 @@ data_lattice_shift_text_right_bottom = [ ], ["Anthropometry", "", "", "", "", "", ""], ["Clinical Examination", "", "", "", "", "", ""], - ["History of morbidity", "2400", "", "", "", "", "All the available individuals"], + ["History of morbidity", "2400", "", "", "", "", + "All the available individuals"], [ "Diet survey", "1200", @@ -2796,9 +2839,11 @@ data_lattice_shift_text_right_bottom = [ "All the individuals partaking meals in the HH", ], ["", "", "Men (≥ 18yrs)", "", "", "", "1728"], - ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"], + ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", + "1728"], ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"], - ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"], + ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", + "1825"], ["", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"], [ "Knowledge &\nPractices on HTN &\nDM", @@ -2820,7 +2865,7 @@ data_arabic = [ ] data_stream_layout_kwargs = [ - ["V i n s a u Ve r r e", ""], + ["V i n s a u V e r r e", ""], ["Les Blancs", "12.5CL"], ["A.O.P Côtes du Rhône", ""], ["Domaine de la Guicharde « Autour de la chapelle » 2016", "8 €"], diff --git a/tests/files/baseline_plots/test_grid_plot.png b/tests/files/baseline_plots/test_grid_plot.png index 3b835f5f078a099fb0c389a5e860c941de53a8a2..0607d15f9320ef335a1d213b2cd1811cb6e28ea8 100644 GIT binary patch delta 27 jcmZ4QxXy8cC!@tgFL`ETJ)?=aQY?!4*$t)c(`gzyQ+ delta 28 kcmZ4IxZZJsC!^&=FL@RPV?Be3IZ`aVxxN23cBv=;0EI3IK>z>% diff --git a/tests/files/baseline_plots/test_joint_plot.png 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a/tests/test_cli.py b/tests/test_cli.py index d1a660f..d3b7d55 100755 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -19,10 +19,16 @@ def test_help_output(): output = result.output assert prog_name == "camelot" - assert result.output.startswith("Usage: %(prog_name)s [OPTIONS] COMMAND" % locals()) + assert result.output.startswith( + "Usage: %(prog_name)s [OPTIONS] COMMAND" % + locals() + ) assert all( v in result.output - for v in ["Options:", "--version", "--help", "Commands:", "lattice", "stream"] + for v in [ + "Options:", "--version", "--help", "Commands:", "lattice", + "stream" + ] ) @@ -120,21 +126,24 @@ def test_cli_output_format(): # json result = runner.invoke( cli, - ["--format", "json", "--output", outfile.format("json"), "stream", infile], + ["--format", "json", "--output", outfile.format("json"), "stream", + infile], ) assert result.exit_code == 0 # excel result = runner.invoke( cli, - ["--format", "excel", "--output", outfile.format("xlsx"), "stream", infile], + ["--format", "excel", "--output", outfile.format("xlsx"), "stream", + infile], ) assert result.exit_code == 0 # html result = runner.invoke( cli, - ["--format", "html", "--output", outfile.format("html"), "stream", infile], + ["--format", "html", "--output", outfile.format("html"), "stream", + infile], ) assert result.exit_code == 0 @@ -166,6 +175,10 @@ def test_cli_quiet(): assert "No tables found on page-1" in result.output result = runner.invoke( - cli, ["--quiet", "--format", "csv", "--output", outfile, "stream", infile] + cli, + [ + "--quiet", "--format", "csv", "--output", outfile, "stream", + infile + ] ) assert "No tables found on page-1" not in result.output diff --git a/tests/test_common.py b/tests/test_common.py index 63762ad..5f0d853 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -3,18 +3,23 @@ import os import pandas as pd +from pandas.testing import assert_frame_equal import camelot from camelot.core import Table, TableList +from camelot.__version__ import generate_version from .data import * + testdir = os.path.dirname(os.path.abspath(__file__)) testdir = os.path.join(testdir, "files") def test_parsing_report(): - parsing_report = {"accuracy": 99.02, "whitespace": 12.24, "order": 1, "page": 1} + parsing_report = { + "accuracy": 99.02, "whitespace": 12.24, "order": 1, "page": 1 + } filename = os.path.join(testdir, "foo.pdf") tables = camelot.read_pdf(filename) @@ -26,10 +31,12 @@ def test_password(): filename = os.path.join(testdir, "health_protected.pdf") tables = camelot.read_pdf(filename, password="ownerpass", flavor="stream") - assert df.equals(tables[0].df) + assert len(tables) == 1 + assert_frame_equal(df, tables[0].df) tables = camelot.read_pdf(filename, password="userpass", flavor="stream") - assert df.equals(tables[0].df) + assert len(tables) == 1 + assert_frame_equal(df, tables[0].df) def test_stream(): @@ -37,7 +44,7 @@ def test_stream(): filename = os.path.join(testdir, "health.pdf") tables = camelot.read_pdf(filename, flavor="stream") - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_table_rotated(): @@ -45,11 +52,11 @@ def test_stream_table_rotated(): filename = os.path.join(testdir, "clockwise_table_2.pdf") tables = camelot.read_pdf(filename, flavor="stream") - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) filename = os.path.join(testdir, "anticlockwise_table_2.pdf") tables = camelot.read_pdf(filename, flavor="stream") - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_two_tables(): @@ -71,7 +78,7 @@ def test_stream_table_regions(): tables = camelot.read_pdf( filename, flavor="stream", table_regions=["320,460,573,335"] ) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_table_areas(): @@ -81,7 +88,7 @@ def test_stream_table_areas(): tables = camelot.read_pdf( filename, flavor="stream", table_areas=["320,500,573,335"] ) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_columns(): @@ -91,7 +98,7 @@ def test_stream_columns(): tables = camelot.read_pdf( filename, flavor="stream", columns=["67,180,230,425,475"], row_tol=10 ) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_split_text(): @@ -104,7 +111,7 @@ def test_stream_split_text(): columns=["72,95,209,327,442,529,566,606,683"], split_text=True, ) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_flag_size(): @@ -112,7 +119,7 @@ def test_stream_flag_size(): filename = os.path.join(testdir, "superscript.pdf") tables = camelot.read_pdf(filename, flavor="stream", flag_size=True) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_strip_text(): @@ -120,7 +127,7 @@ def test_stream_strip_text(): filename = os.path.join(testdir, "detect_vertical_false.pdf") tables = camelot.read_pdf(filename, flavor="stream", strip_text=" ,\n") - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_edge_tol(): @@ -128,7 +135,7 @@ def test_stream_edge_tol(): filename = os.path.join(testdir, "edge_tol.pdf") tables = camelot.read_pdf(filename, flavor="stream", edge_tol=500) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_stream_layout_kwargs(): @@ -138,7 +145,7 @@ def test_stream_layout_kwargs(): tables = camelot.read_pdf( filename, flavor="stream", layout_kwargs={"detect_vertical": False} ) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_lattice(): @@ -148,7 +155,7 @@ def test_lattice(): testdir, "tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf" ) tables = camelot.read_pdf(filename, pages="2") - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_lattice_table_rotated(): @@ -156,11 +163,11 @@ def test_lattice_table_rotated(): filename = os.path.join(testdir, "clockwise_table_1.pdf") tables = camelot.read_pdf(filename) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) filename = os.path.join(testdir, "anticlockwise_table_1.pdf") tables = camelot.read_pdf(filename) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_lattice_two_tables(): @@ -179,7 +186,7 @@ def test_lattice_table_regions(): filename = os.path.join(testdir, "table_region.pdf") tables = camelot.read_pdf(filename, table_regions=["170,370,560,270"]) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_lattice_table_areas(): @@ -187,7 +194,7 @@ def test_lattice_table_areas(): filename = os.path.join(testdir, "twotables_2.pdf") tables = camelot.read_pdf(filename, table_areas=["80,693,535,448"]) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_lattice_process_background(): @@ -195,7 +202,7 @@ def test_lattice_process_background(): filename = os.path.join(testdir, "background_lines_1.pdf") tables = camelot.read_pdf(filename, process_background=True) - assert df.equals(tables[1].df) + assert_frame_equal(df, tables[1].df) def test_lattice_copy_text(): @@ -203,7 +210,7 @@ def test_lattice_copy_text(): filename = os.path.join(testdir, "row_span_1.pdf") tables = camelot.read_pdf(filename, line_scale=60, copy_text="v") - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_lattice_shift_text(): @@ -227,9 +234,9 @@ def test_repr(): tables = camelot.read_pdf(filename) assert repr(tables) == "" assert repr(tables[0]) == "" - assert ( - repr(tables[0].cells[0][0]) == "" - ) + assert \ + repr(tables[0].cells[0][0]) == \ + "" def test_pages(): @@ -237,22 +244,23 @@ def test_pages(): tables = camelot.read_pdf(url) assert repr(tables) == "" assert repr(tables[0]) == "
" - assert ( - repr(tables[0].cells[0][0]) == "" - ) + assert \ + repr(tables[0].cells[0][0]) == \ + "" tables = camelot.read_pdf(url, pages="1-end") assert repr(tables) == "" assert repr(tables[0]) == "
" - assert ( - repr(tables[0].cells[0][0]) == "" - ) + assert \ + repr(tables[0].cells[0][0]) == \ + "" tables = camelot.read_pdf(url, pages="all") assert repr(tables) == "" assert repr(tables[0]) == "
" assert ( - repr(tables[0].cells[0][0]) == "" + repr(tables[0].cells[0][0]) == + "" ) @@ -262,7 +270,8 @@ def test_url(): assert repr(tables) == "" assert repr(tables[0]) == "
" assert ( - repr(tables[0].cells[0][0]) == "" + repr(tables[0].cells[0][0]) == + "" ) @@ -271,7 +280,7 @@ def test_arabic(): filename = os.path.join(testdir, "tabula/arabic.pdf") tables = camelot.read_pdf(filename) - assert df.equals(tables[0].df) + assert_frame_equal(df, tables[0].df) def test_table_order(): @@ -282,7 +291,12 @@ def test_table_order(): return t table_list = TableList( - [_make_table(2, 1), _make_table(1, 1), _make_table(3, 4), _make_table(1, 2)] + [ + _make_table(2, 1), + _make_table(1, 1), + _make_table(3, 4), + _make_table(1, 2) + ] ) assert [(t.page, t.order) for t in sorted(table_list)] == [ @@ -297,3 +311,18 @@ def test_table_order(): (1, 2), (1, 1), ] + + +def test_version_generation(): + version = (0, 7, 3) + assert generate_version(version, prerelease=None, revision=None) == "0.7.3" + + +def test_version_generation_with_prerelease_revision(): + version = (0, 7, 3) + prerelease = "alpha" + revision = 2 + assert ( + generate_version(version, prerelease=prerelease, revision=revision) + == "0.7.3-alpha.2" + ) diff --git a/tests/test_plotting.py b/tests/test_plotting.py index f267e29..565c68c 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -4,13 +4,30 @@ import os import pytest +import matplotlib + import camelot +# The version of Matplotlib has an impact on some of the tests. Unfortunately, +# we can't enforce usage of a recent version of MatplotLib without dropping +# support for Python 3.6. +# To check the version of matplotlib installed: +# pip freeze | grep matplotlib +# To force upgrade: +# pip install --upgrade --force-reinstall matplotlib +# To force usage of a Python 3.6 compatible version: +# pip install "matplotlib==2.2.5" +# This condition can be removed in favor of a version requirement bump for +# matplotlib once support for Python 3.5 is dropped. + +LEGACY_MATPLOTLIB = matplotlib.__version__ < "3.2.1" testdir = os.path.dirname(os.path.abspath(__file__)) testdir = os.path.join(testdir, "files") +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_text_plot(): @@ -26,6 +43,15 @@ def test_grid_plot(): tables = camelot.read_pdf(filename) return camelot.plot(tables[0], kind='grid') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") +@pytest.mark.mpl_image_compare( + baseline_dir="files/baseline_plots", remove_text=True) +def test_stream_grid_plot(): + filename = os.path.join(testdir, "foo.pdf") + tables = camelot.read_pdf(filename, flavor="stream") + return camelot.plot(tables[0], kind='grid') + @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) @@ -35,6 +61,8 @@ def test_lattice_contour_plot(): return camelot.plot(tables[0], kind='contour') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_stream_contour_plot(): @@ -51,6 +79,8 @@ def test_line_plot(): return camelot.plot(tables[0], kind='line') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_joint_plot(): @@ -59,6 +89,8 @@ def test_joint_plot(): return camelot.plot(tables[0], kind='joint') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_textedge_plot(): From 697289e4094dc275a8652d8ee305844bc8fcbf0b Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 18 Apr 2020 23:03:27 -0700 Subject: [PATCH 02/60] Refactor base classes and improve plotting Move common code to base class to reduce duplication Stream plots display pdf background for better context --- camelot/core.py | 53 +++- camelot/handlers.py | 88 ++++--- camelot/parsers/base.py | 42 +++- camelot/parsers/lattice.py | 69 +++--- camelot/parsers/stream.py | 49 ++-- camelot/plotting.py | 34 ++- camelot/utils.py | 234 +++++++++++++++++- tests/files/baseline_plots/test_grid_plot.png | Bin 8366 -> 48698 bytes tests/files/baseline_plots/test_line_plot.png | Bin 6832 -> 48244 bytes .../test_stream_contour_plot.png | Bin 14487 -> 15438 bytes .../baseline_plots/test_stream_grid_plot.png | Bin 9940 -> 50045 bytes tests/files/baseline_plots/test_text_plot.png | Bin 9112 -> 72432 bytes .../baseline_plots/test_textedge_plot.png | Bin 19000 -> 115318 bytes 13 files changed, 447 insertions(+), 122 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 5fff3c6..1ce71ab 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -10,6 +10,15 @@ from operator import itemgetter import numpy as np import pandas as pd +from cv2 import cv2 + +from .utils import ( + build_file_path_in_temp_dir, + compute_accuracy, + compute_whitespace, + export_pdf_as_png +) + # minimum number of vertical textline intersections for a textedge # to be considered valid @@ -159,7 +168,10 @@ class TextEdges(object): # get vertical textedges that intersect maximum number of # times with horizontal textlines relevant_align = max(intersections_sum.items(), key=itemgetter(1))[0] - return self._textedges[relevant_align] + return list(filter( + lambda te: te.is_valid, + self._textedges[relevant_align]) + ) def get_table_areas(self, textlines, relevant_textedges): """Returns a dict of interesting table areas on the PDF page @@ -179,7 +191,6 @@ class TextEdges(object): table_areas = {} for te in relevant_textedges: - if te.is_valid: if not table_areas: table_areas[(te.x, te.y0, te.x, te.y1)] = None else: @@ -225,7 +236,8 @@ class TextEdges(object): max(found[3], tl.y1), ) table_areas[updated_area] = None - average_textline_height = sum_textline_height / float(len(textlines)) + average_textline_height = sum_textline_height / \ + float(len(textlines)) # add some padding to table areas table_areas_padded = {} @@ -339,6 +351,8 @@ class Table(object): Accuracy with which text was assigned to the cell. whitespace : float Percentage of whitespace in the table. + filename : str + Path of the original PDF order : int Table number on PDF page. page : int @@ -356,8 +370,15 @@ class Table(object): self.shape = (0, 0) self.accuracy = 0 self.whitespace = 0 + self.filename = None self.order = None self.page = None + self.flavor = None # Flavor of the parser that generated the table + self.pdf_size = None # Dimensions of the original PDF page + self.debug_info = None # Field holding debug data + + self._image = None + self._image_path = None # Temporary file to hold an image of the pdf def __repr__(self): return "<{} shape={}>".format(self.__class__.__name__, self.shape) @@ -392,6 +413,32 @@ class Table(object): } return report + def record_metadata(self, parser): + """Record data about the origin of the table + """ + self.flavor = parser.id + self.filename = parser.filename + self.debug_info = parser.debug_info + data = self.data + self.df = pd.DataFrame(data) + self.shape = self.df.shape + + self.whitespace = compute_whitespace(data) + self.pdf_size = (parser.pdf_width, parser.pdf_height) + + def get_pdf_image(self): + """Compute pdf image and cache it + """ + if self._image is None: + if self._image_path is None: + self._image_path = build_file_path_in_temp_dir( + os.path.basename(self.filename), + ".png" + ) + export_pdf_as_png(self.filename, self._image_path) + self._image = cv2.imread(self._image_path) + return self._image + def set_all_edges(self): """Sets all table edges to True. """ diff --git a/camelot/handlers.py b/camelot/handlers.py index a689ee5..7a9f2ff 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -8,7 +8,7 @@ from PyPDF2 import PdfFileReader, PdfFileWriter from .core import TableList from .parsers import Stream, Lattice from .utils import ( - TemporaryDirectory, + build_file_path_in_temp_dir, get_page_layout, get_text_objects, get_rotation, @@ -16,6 +16,11 @@ from .utils import ( download_url, ) +PARSERS = { + "lattice": Lattice, + "stream": Stream +} + class PDFHandler(object): """Handles all operations like temp directory creation, splitting @@ -89,31 +94,47 @@ class PDFHandler(object): P.extend(range(p["start"], p["end"] + 1)) return sorted(set(P)) - def _save_page(self, filepath, page, temp): - """Saves specified page from PDF into a temporary directory. + def _read_pdf_page(self, page=1, layout_kwargs=None): + """Saves specified page from PDF into a temporary directory. Removes + password protection and normalizes rotation. Parameters ---------- - filepath : str - Filepath or URL of the PDF file. page : int Page number. - temp : str - Tmp directory. + layout_kwargs : dict, optional (default: {}) + A dict of `pdfminer.layout.LAParams `_ kwargs. # noqa + + + Returns + ------- + layout : object + + dimensions : tuple + The dimensions of the pdf page + + filepath : str + The path of the single page PDF - either the original, or a + normalized version. """ - with open(filepath, "rb") as fileobj: + layout_kwargs = layout_kwargs or {} + with open(self.filepath, "rb") as fileobj: + # Normalize the pdf file, but skip if it's not encrypted or has + # only one page. infile = PdfFileReader(fileobj, strict=False) if infile.isEncrypted: infile.decrypt(self.password) - fpath = os.path.join(temp, "page-{0}.pdf".format(page)) + fpath = build_file_path_in_temp_dir( + "page-{page}.pdf".format(page=page)) froot, fext = os.path.splitext(fpath) p = infile.getPage(page - 1) outfile = PdfFileWriter() outfile.addPage(p) with open(fpath, "wb") as f: outfile.write(f) - layout, __ = get_page_layout(fpath) + layout, dimensions = get_page_layout( + fpath, **layout_kwargs) # fix rotated PDF chars = get_text_objects(layout, ltype="char") horizontal_text = get_text_objects(layout, ltype="horizontal_text") @@ -121,12 +142,7 @@ class PDFHandler(object): rotation = get_rotation(chars, horizontal_text, vertical_text) if rotation != "": fpath_new = "".join( - [ - froot.replace("page", "p"), - "_rotated", - fext - ] - ) + [froot.replace("page", "p"), "_rotated", fext]) os.rename(fpath, fpath_new) infile = PdfFileReader(open(fpath_new, "rb"), strict=False) if infile.isEncrypted: @@ -140,10 +156,13 @@ class PDFHandler(object): outfile.addPage(p) with open(fpath, "wb") as f: outfile.write(f) + layout, dimensions = get_page_layout( + fpath, **layout_kwargs) + return layout, dimensions, fpath def parse( - self, flavor="lattice", suppress_stdout=False, layout_kwargs=None, - **kwargs + self, flavor="lattice", suppress_stdout=False, + layout_kwargs=None, **kwargs ): """Extracts tables by calling parser.get_tables on all single page PDFs. @@ -168,19 +187,22 @@ class PDFHandler(object): """ layout_kwargs = layout_kwargs or {} tables = [] - with TemporaryDirectory() as tempdir: - for p in self.pages: - self._save_page(self.filepath, p, tempdir) - pages = [ - os.path.join(tempdir, "page-{0}.pdf".format(p)) - for p in self.pages - ] - parser = Lattice(**kwargs) \ - if flavor == "lattice" else Stream(**kwargs) - for p in pages: - t = parser.extract_tables( - p, suppress_stdout=suppress_stdout, - layout_kwargs=layout_kwargs - ) - tables.extend(t) + + parser_obj = PARSERS[flavor] + parser = parser_obj(**kwargs) + + # Read the layouts/dimensions of each of the pages we need to + # parse. This might require creating a temporary .pdf. + for page_idx in self.pages: + layout, dimensions, source_file = self._read_pdf_page( + page_idx, + layout_kwargs=layout_kwargs + ) + parser._generate_layout(source_file, layout, dimensions, + page_idx, layout_kwargs) + t = parser.extract_tables( + source_file, + suppress_stdout=suppress_stdout + ) + tables.extend(t) return TableList(sorted(tables)) diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 5713625..bd41fc3 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -2,20 +2,28 @@ import os -from ..utils import get_page_layout, get_text_objects +from ..utils import ( + get_text_objects +) +from ..core import Table class BaseParser(object): """Defines a base parser. """ + def __init__(self, parser_id): + self.id = parser_id - def _generate_layout(self, filename, layout_kwargs): + # For plotting details of parsing algorithms + self.debug_info = {} + + def _generate_layout(self, filename, layout, dimensions, + page_idx, layout_kwargs): self.filename = filename self.layout_kwargs = layout_kwargs - self.layout, self.dimensions = get_page_layout( - filename, - **layout_kwargs - ) + self.layout = layout + self.dimensions = dimensions + self.page = page_idx self.images = get_text_objects(self.layout, ltype="image") self.horizontal_text = get_text_objects( self.layout, @@ -27,3 +35,25 @@ class BaseParser(object): ) self.pdf_width, self.pdf_height = self.dimensions self.rootname, __ = os.path.splitext(self.filename) + + """Initialize new table object, ready to be populated + + Parameters + ---------- + table_idx : int + Index of this table within the pdf page analyzed + cols : list + list of coordinate boundaries tuples (left, right) + rows : list + list of coordinate boundaries tuples (bottom, top) + + Returns + ------- + table : camelot.core.Table + + """ + def _initialize_new_table(self, table_idx, cols, rows): + table = Table(cols, rows) + table.page = self.page + table.order = table_idx + 1 + return table diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 3a40f47..5bb130b 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -2,15 +2,20 @@ from __future__ import division import os +import sys import copy +import locale import logging import warnings +import subprocess +import numpy as np import pandas as pd from .base import BaseParser -from ..core import Table from ..utils import ( + build_file_path_in_temp_dir, + export_pdf_as_png, scale_image, scale_pdf, segments_in_bbox, @@ -18,7 +23,6 @@ from ..utils import ( merge_close_lines, get_table_index, compute_accuracy, - compute_whitespace, ) from ..image_processing import ( adaptive_threshold, @@ -110,13 +114,13 @@ class Lattice(BaseParser): resolution=300, **kwargs ): - shift_text = shift_text or ["l", "t"] + super().__init__("lattice") self.table_regions = table_regions self.table_areas = table_areas self.process_background = process_background self.line_scale = line_scale self.copy_text = copy_text - self.shift_text = shift_text + self.shift_text = shift_text or ["l", "t"] self.split_text = split_text self.flag_size = flag_size self.strip_text = strip_text @@ -126,6 +130,8 @@ class Lattice(BaseParser): self.threshold_constant = threshold_constant self.iterations = iterations self.resolution = resolution + self.image_path = None + self.pdf_image = None @staticmethod def _reduce_index(t, idx, shift_text): @@ -205,18 +211,6 @@ class Lattice(BaseParser): t.cells[i][j].text = t.cells[i - 1][j].text return t - def _generate_image(self): - from ..ext.ghostscript import Ghostscript - - self.imagename = "".join([self.rootname, ".png"]) - gs_call = "-q -sDEVICE=png16m -o {} -r300 {}".format( - self.imagename, self.filename - ) - gs_call = gs_call.encode().split() - null = open(os.devnull, "wb") - Ghostscript(*gs_call, stdout=null) - null.close() - def _generate_table_bbox(self): def scale_areas(areas): scaled_areas = [] @@ -230,15 +224,20 @@ class Lattice(BaseParser): scaled_areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) return scaled_areas - self.image, self.threshold = adaptive_threshold( - self.imagename, + self.image_path = build_file_path_in_temp_dir( + os.path.basename(self.filename), + ".png" + ) + export_pdf_as_png(self.filename, self.image_path) + self.pdf_image, self.threshold = adaptive_threshold( + self.image_path, process_background=self.process_background, blocksize=self.threshold_blocksize, c=self.threshold_constant, ) - image_width = self.image.shape[1] - image_height = self.image.shape[0] + image_width = self.pdf_image.shape[1] + image_height = self.pdf_image.shape[0] image_width_scaler = image_width / float(self.pdf_width) image_height_scaler = image_height / float(self.pdf_height) pdf_width_scaler = self.pdf_width / float(image_width) @@ -332,7 +331,7 @@ class Lattice(BaseParser): if v_s is None or h_s is None: raise ValueError("No segments found on {}".format(self.rootname)) - table = Table(cols, rows) + table = self._initialize_new_table(table_idx, cols, rows) # set table edges to True using ver+hor lines table = table.set_edges(v_s, h_s, joint_tol=self.joint_tol) # set table border edges to True @@ -360,6 +359,7 @@ class Lattice(BaseParser): ) for r_idx, c_idx, text in indices: table.cells[r_idx][c_idx].text = text + # FRHTODO accuracy = compute_accuracy([[100, pos_errors]]) if self.copy_text is not None: @@ -368,39 +368,27 @@ class Lattice(BaseParser): copy_text=self.copy_text ) - data = table.data - table.df = pd.DataFrame(data) - table.shape = table.df.shape - - whitespace = compute_whitespace(data) - table.flavor = "lattice" + table.record_metadata(self) table.accuracy = accuracy - table.whitespace = whitespace - table.order = table_idx + 1 - table.page = int(os.path.basename(self.rootname).replace("page-", "")) # for plotting _text = [] _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) table._text = _text - table._image = (self.image, self.table_bbox_unscaled) + table._image = self.pdf_image # Reuse the image used for calc + table._bbox_unscaled = self.table_bbox_unscaled table._segments = (self.vertical_segments, self.horizontal_segments) table._textedges = None return table - def extract_tables( - self, - filename, - suppress_stdout=False, - layout_kwargs=None - ): - layout_kwargs = layout_kwargs or {} - self._generate_layout(filename, layout_kwargs) + def extract_tables(self, filename, suppress_stdout=False): + # FRHTODO: move extract table core to the base class rootname = os.path.basename(self.rootname) if not suppress_stdout: - logger.info("Processing {rootname}".format(rootname=rootname)) + logger.info( + "Processing {rootname}".format(rootname=rootname)) if not self.horizontal_text: if self.images: @@ -415,7 +403,6 @@ class Lattice(BaseParser): ) return [] - self._generate_image() self._generate_table_bbox() _tables = [] diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 4af0a0e..554e2f8 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -9,7 +9,7 @@ import numpy as np import pandas as pd from .base import BaseParser -from ..core import TextEdges, Table +from ..core import TextEdges from ..utils import (text_in_bbox, get_table_index, compute_accuracy, compute_whitespace) @@ -69,11 +69,9 @@ class Stream(BaseParser): column_tol=0, **kwargs ): + super().__init__("stream") self.table_regions = table_regions self.table_areas = table_areas - self.table_bbox = None - self.t_bbox = None - self.textedges = [] self.columns = columns self._validate_columns() self.split_text = split_text @@ -191,7 +189,8 @@ class Stream(BaseParser): @staticmethod def _join_rows(rows_grouped, text_y_max, text_y_min): - """Makes row coordinates continuous. + """Makes row coordinates continuous. For the row to "touch" + we split the existing gap between them in half. Parameters ---------- @@ -206,18 +205,20 @@ class Stream(BaseParser): List of continuous row y-coordinate tuples. """ - row_mids = [ - sum((t.y0 + t.y1) / 2 for t in r) / len(r) if len(r) > 0 else 0 + row_boundaries = [ + [ + max(t.y1 for t in r), + min(t.y0 for t in r) + ] for r in rows_grouped ] - rows = [ - (row_mids[i] + row_mids[i - 1]) / 2 - for i in range(1, len(row_mids)) - ] - rows.insert(0, text_y_max) - rows.append(text_y_min) - rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)] - return rows + for i in range(0, len(row_boundaries)-1): + top_row = row_boundaries[i] + bottom_row = row_boundaries[i+1] + top_row[1] = bottom_row[0] = (top_row[1] + bottom_row[0]) / 2 + row_boundaries[0][0] = text_y_max + row_boundaries[-1][1] = text_y_min + return row_boundaries @staticmethod def _add_columns(cols, text, row_tol): @@ -414,7 +415,7 @@ class Stream(BaseParser): return cols, rows def _generate_table(self, table_idx, cols, rows, **kwargs): - table = Table(cols, rows) + table = self._initialize_new_table(table_idx, cols, rows) table = table.set_all_edges() pos_errors = [] @@ -436,32 +437,22 @@ class Stream(BaseParser): table.cells[r_idx][c_idx].text = text accuracy = compute_accuracy([[100, pos_errors]]) - data = table.data - table.df = pd.DataFrame(data) - table.shape = table.df.shape + table.record_metadata(self) - whitespace = compute_whitespace(data) - table.flavor = "stream" table.accuracy = accuracy - table.whitespace = whitespace - table.order = table_idx + 1 - table.page = int(os.path.basename(self.rootname).replace("page-", "")) # for plotting _text = [] _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) table._text = _text - table._image = None + table._bbox = self.table_bbox table._segments = None table._textedges = self.textedges return table - def extract_tables(self, filename, suppress_stdout=False, - layout_kwargs=None): - layout_kwargs = layout_kwargs or {} - self._generate_layout(filename, layout_kwargs) + def extract_tables(self, filename, suppress_stdout=False): if not suppress_stdout: logger.info("Processing {}".format( os.path.basename(self.rootname))) diff --git a/camelot/plotting.py b/camelot/plotting.py index 51928e9..0782bb1 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -68,11 +68,14 @@ class PlotMethods(object): patches.Rectangle( (t[0], t[1]), t[2] - t[0], - t[3] - t[1] + t[3] - t[1], + alpha=0.5 ) ) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) + img = table.get_pdf_image() + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig def grid(self, table): @@ -100,6 +103,9 @@ class PlotMethods(object): ax.plot([cell.lt[0], cell.rt[0]], [cell.lt[1], cell.rt[1]]) if cell.bottom: ax.plot([cell.lb[0], cell.rb[0]], [cell.lb[1], cell.rb[1]]) + + img = table.get_pdf_image() + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig def contour(self, table): @@ -115,12 +121,13 @@ class PlotMethods(object): fig : matplotlib.fig.Figure """ - try: - img, table_bbox = table._image - _FOR_LATTICE = True - except TypeError: - img, table_bbox = (None, {table._bbox: None}) - _FOR_LATTICE = False + + img = table.get_pdf_image() + _FOR_LATTICE = table.flavor == "lattice" + if _FOR_LATTICE: + table_bbox = table._bbox_unscaled + else: + table_bbox = {table._bbox: None} fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") @@ -150,6 +157,8 @@ class PlotMethods(object): if _FOR_LATTICE: ax.imshow(img) + else: + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig def textedge(self, table): @@ -173,7 +182,8 @@ class PlotMethods(object): ax.add_patch( patches.Rectangle( (t[0], t[1]), t[2] - t[0], t[3] - t[1], - color="blue" + color="blue", + alpha=0.5 ) ) ax.set_xlim(min(xs) - 10, max(xs) + 10) @@ -182,6 +192,8 @@ class PlotMethods(object): for te in table._textedges: ax.plot([te.x, te.x], [te.y0, te.y1]) + img = table.get_pdf_image() + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig def joint(self, table): @@ -197,7 +209,8 @@ class PlotMethods(object): fig : matplotlib.fig.Figure """ - img, table_bbox = table._image + img = table.get_pdf_image() + table_bbox = table._bbox_unscaled fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") x_coord = [] @@ -230,4 +243,7 @@ class PlotMethods(object): ax.plot([v[0], v[2]], [v[1], v[3]]) for h in horizontal: ax.plot([h[0], h[2]], [h[1], h[3]]) + + img = table.get_pdf_image() + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig diff --git a/camelot/utils.py b/camelot/utils.py index c3bf723..89b6eee 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -3,6 +3,7 @@ from __future__ import division import re import os +import atexit import sys import random import shutil @@ -13,6 +14,7 @@ from itertools import groupby from operator import itemgetter import numpy as np +import pandas as pd from pdfminer.pdfparser import PDFParser from pdfminer.pdfdocument import PDFDocument from pdfminer.pdfpage import PDFPage @@ -29,6 +31,7 @@ from pdfminer.layout import ( LTImage, ) +from .ext.ghostscript import Ghostscript # pylint: disable=import-error # PyLint will evaluate both branches, and will necessarily complain about one @@ -150,13 +153,40 @@ def remove_extra(kwargs, flavor="lattice"): # https://stackoverflow.com/a/22726782 +# and https://stackoverflow.com/questions/10965479 class TemporaryDirectory(object): def __enter__(self): self.name = tempfile.mkdtemp() + # Only delete the temporary directory upon + # program exit. + atexit.register(shutil.rmtree, self.name) return self.name def __exit__(self, exc_type, exc_value, traceback): - shutil.rmtree(self.name) + pass + + +def build_file_path_in_temp_dir(filename, extension=None): + """Generates a new path within a temporary directory + + Parameters + ---------- + filename : str + extension : str + + Returns + ------- + file_path_in_temporary_dir : str + + """ + with TemporaryDirectory() as temp_dir: + if extension: + filename = filename + extension + path = os.path.join( + temp_dir, + filename + ) + return path def translate(x1, x2): @@ -387,6 +417,117 @@ def text_in_bbox(bbox, text): return t_bbox +def bbox_from_text(textlines): + """Returns the smallest bbox containing all the text objects passed as + a parameters. + + Parameters + ---------- + textlines : List of PDFMiner text objects. + + Returns + ------- + bbox : tuple + Tuple (x1, y1, x2, y2) representing a bounding box where + (x1, y1) -> lb and (x2, y2) -> rt in the PDF coordinate + space. + + """ + if len(textlines) == 0: + return None + bbox = ( + textlines[0].x0, + textlines[0].y0, + textlines[0].x1, + textlines[0].y1 + ) + + for tl in textlines[1:]: + bbox = ( + min(bbox[0], tl.x0), + min(bbox[1], tl.y0), + max(bbox[2], tl.x1), + max(bbox[3], tl.y1) + ) + return bbox + + +def find_columns_coordinates(tls): + """Given a list of text objects, guess columns boundaries and returns a + list of x-coordinates for split points between columns. + + Parameters + ---------- + tls : list of PDFMiner text object. + + Returns + ------- + cols_anchors : list + List of x-coordinates for columns. + + """ + # Make a list of disjunct cols boundaries across the textlines + # that comprise the table. + # [(1st col left, 1st col right), (2nd col left, 2nd col right), ...] + cols_bounds = [] + tls.sort(key=lambda tl: tl.x0) + for tl in tls: + if (not cols_bounds) or cols_bounds[-1][1] < tl.x0: + cols_bounds.append([tl.x0, tl.x1]) + else: + cols_bounds[-1][1] = max(cols_bounds[-1][1], tl.x1) + + # From the row boundaries, identify splits by getting the mid points + # between the boundaries. + # Row boundaries: [ a ] [b] [ c ] + # Splits: | | | | + cols_anchors = list(map( + lambda idx: (cols_bounds[idx-1][1] + cols_bounds[idx][0]) / 2.0, + range(1, len(cols_bounds)-1) + )) + cols_anchors.insert(0, cols_bounds[0][0]) + cols_anchors.append(cols_bounds[-1][1]) + return cols_anchors + + +def distance_tl_to_bbox(tl, bbox): + """Returns a tuple corresponding to the horizontal and vertical gaps + between a textline and a bbox. + + Parameters + ---------- + tl : PDFMiner text object. + bbox : tuple (x0, y0, x1, y1) + + Returns + ------- + distance : tuple + Tuple (horizontal distance, vertical distance) + + """ + v_distance, h_distance = None, None + if tl.x1 <= bbox[0]: + # tl to the left + h_distance = bbox[0] - tl.x1 + elif bbox[2] <= tl.x0: + # tl to the right + h_distance = tl.x0 - bbox[2] + else: + # textline overlaps vertically + h_distance = 0 + + if tl.y1 <= bbox[1]: + # tl below + v_distance = bbox[1] - tl.y1 + elif bbox[3] <= tl.y0: + # tl above + v_distance = tl.y0 - bbox[3] + else: + # tl overlaps horizontally + v_distance = 0 + return (h_distance, v_distance) + + def merge_close_lines(ar, line_tol=2): """Merges lines which are within a tolerance by calculating a moving mean, based on their x or y axis projections. @@ -867,3 +1008,94 @@ def get_text_objects(layout, ltype="char", t=None): except AttributeError: pass return t + + +def export_pdf_as_png(pdf_path, destination_path): + """Generate an image from a pdf. + + Parameters + ---------- + pdf_path : str + destination_path : str + """ + gs_call = f"-q -sDEVICE=png16m -o {destination_path} -r300 {pdf_path}" + gs_call = gs_call.encode().split() + null = open(os.devnull, "wb") + Ghostscript(*gs_call, stdout=null) + null.close() + + +def compare_tables(left, right): + """Compare two tables and displays differences in a human readable form. + + Parameters + ---------- + left : data frame + right : data frame + """ + diff_cols = right.shape[1]-left.shape[1] + diff_rows = right.shape[0]-left.shape[0] + differences = [] + if (diff_rows): + differences.append( + f"{abs(diff_rows)} " + f"{'more' if diff_rows>0 else 'fewer'} rows" + ) + if (diff_cols): + differences.append( + f"{abs(diff_cols)} " + f"{'more' if diff_cols>0 else 'fewer'} columns" + ) + if differences: + differences_str = " and ".join(differences) + print(f"Right has {differences_str} than left " + f"[{right.shape[0]},{right.shape[1]}] vs " + f"[{left.shape[0]},{left.shape[1]}]") + + table1, table2 = [left, right] + name_table1, name_table2 = ["left", "right"] + if not diff_rows: + # Same number of rows: compare columns since they're of the same length + if diff_cols > 0: + # Use the longest table as a reference + table1, table2 = table2, table1 + name_table1, name_table2 = name_table2, name_table1 + for i, col in enumerate(table1.columns): + lcol = table1.iloc[:, i] + if col in table2: + scol = table2.iloc[:, i] + if not lcol.equals(scol): + diff_df = pd.DataFrame() + diff_df[name_table1] = scol + diff_df[name_table2] = lcol + diff_df["Match"] = lcol == scol + print( + f"Column {i} different:\n" + f"{diff_df}" + ) + break + else: + print("Column {i} unique to {name_table1}: {lcol}") + break + elif not diff_cols: + # Same number of cols: compare rows since they're of the same length + if diff_rows > 0: + # Use the longest table as a reference + table1, table2 = table2, table1 + name_table1, name_table2 = name_table2, name_table1 + for index, lrow in table1.iterrows(): + if index < table2.shape[1]: + srow = table2.loc[index, :] + if not lrow.equals(srow): + diff_df = pd.DataFrame() + diff_df = diff_df.append(lrow, ignore_index=True) + diff_df = diff_df.append(srow, ignore_index=True) + diff_df.insert(0, 'Table', [name_table1, name_table2]) + print(f"Row {index} differs:") + print(diff_df.values) + break + else: + print(f"Row {index} unique to {name_table1}: {lrow}") + break + else: + print("Tables have different shapes") diff --git a/tests/files/baseline_plots/test_grid_plot.png b/tests/files/baseline_plots/test_grid_plot.png index 0607d15f9320ef335a1d213b2cd1811cb6e28ea8..87fe2aa2ced45b4f2be6d307c12872ffd6f5eaab 100644 GIT binary patch literal 48698 zcmeFZbyQUE+b_HU6;KdRQ3)v(5J99n1WZ~|i4o}*kY)fC0Tn@MkPw5A7^$H{Q96{6 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def record_metadata(self, parser): + def record_parse_metadata(self, parser): """Record data about the origin of the table """ self.flavor = parser.id diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index bd41fc3..c50a164 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -3,7 +3,8 @@ import os from ..utils import ( - get_text_objects + get_text_objects, + get_table_index ) from ..core import Table @@ -11,8 +12,26 @@ from ..core import Table class BaseParser(object): """Defines a base parser. """ - def __init__(self, parser_id): + def __init__(self, + parser_id, + table_regions=None, + table_areas=None, + split_text=False, + strip_text="", + shift_text=None, + flag_size=False, + ): self.id = parser_id + self.table_regions = table_regions + self.table_areas = table_areas + + self.split_text = split_text + self.strip_text = strip_text + self.shift_text = shift_text + + self.flag_size = flag_size + + self.t_bbox = None # For plotting details of parsing algorithms self.debug_info = {} @@ -57,3 +76,38 @@ class BaseParser(object): table.page = self.page table.order = table_idx + 1 return table + + + @staticmethod + def _reduce_index(t, idx, shift_text): + """Reduces index of a text object if it lies within a spanning + cell. Only useful for some parsers (e.g. Lattice), base method is a + noop. + """ + return idx + + def _compute_parse_errors(self, table): + pos_errors = [] + # TODO: have a single list in place of two directional ones? + # sorted on x-coordinate based on reading order i.e. LTR or RTL + for direction in ["vertical", "horizontal"]: + for t in self.t_bbox[direction]: + indices, error = get_table_index( + table, + t, + direction, + split_text=self.split_text, + flag_size=self.flag_size, + strip_text=self.strip_text, + ) + if indices[:2] != (-1, -1): + pos_errors.append(error) + indices = type(self)._reduce_index( + table, + indices, + shift_text=self.shift_text + ) + for r_idx, c_idx, text in indices: + table.cells[r_idx][c_idx].text = text + return pos_errors + diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 5bb130b..c294b55 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -114,16 +114,18 @@ class Lattice(BaseParser): resolution=300, **kwargs ): - super().__init__("lattice") - self.table_regions = table_regions - self.table_areas = table_areas + super().__init__( + "lattice", + table_regions=table_regions, + table_areas=table_areas, + split_text=split_text, + strip_text=strip_text, + shift_text=shift_text or ["l", "t"], + flag_size=flag_size, + ) self.process_background = process_background self.line_scale = line_scale self.copy_text = copy_text - self.shift_text = shift_text or ["l", "t"] - self.split_text = split_text - self.flag_size = flag_size - self.strip_text = strip_text self.line_tol = line_tol self.joint_tol = joint_tol self.threshold_blocksize = threshold_blocksize @@ -178,6 +180,7 @@ class Lattice(BaseParser): indices.append((r_idx, c_idx, text)) return indices + @staticmethod def _copy_spanning_text(t, copy_text=None): """Copies over text in empty spanning cells. @@ -368,7 +371,7 @@ class Lattice(BaseParser): copy_text=self.copy_text ) - table.record_metadata(self) + table.record_parse_metadata(self) table.accuracy = accuracy # for plotting diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 554e2f8..0d507c5 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -10,7 +10,7 @@ import pandas as pd from .base import BaseParser from ..core import TextEdges -from ..utils import (text_in_bbox, get_table_index, compute_accuracy, +from ..utils import (text_in_bbox, compute_accuracy, compute_whitespace) @@ -61,22 +61,24 @@ class Stream(BaseParser): table_regions=None, table_areas=None, columns=None, - split_text=False, flag_size=False, + split_text=False, strip_text="", edge_tol=50, row_tol=2, column_tol=0, **kwargs ): - super().__init__("stream") - self.table_regions = table_regions - self.table_areas = table_areas + super().__init__( + "stream", + table_regions=table_regions, + table_areas=table_areas, + split_text=split_text, + strip_text=strip_text, + flag_size=flag_size, + ) self.columns = columns self._validate_columns() - self.split_text = split_text - self.flag_size = flag_size - self.strip_text = strip_text self.edge_tol = edge_tol self.row_tol = row_tol self.column_tol = column_tol @@ -418,26 +420,10 @@ class Stream(BaseParser): table = self._initialize_new_table(table_idx, cols, rows) table = table.set_all_edges() - pos_errors = [] - # TODO: have a single list in place of two directional ones? - # sorted on x-coordinate based on reading order i.e. LTR or RTL - for direction in ["vertical", "horizontal"]: - for t in self.t_bbox[direction]: - indices, error = get_table_index( - table, - t, - direction, - split_text=self.split_text, - flag_size=self.flag_size, - strip_text=self.strip_text, - ) - if indices[:2] != (-1, -1): - pos_errors.append(error) - for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].text = text + pos_errors = self._compute_parse_errors(table) accuracy = compute_accuracy([[100, pos_errors]]) - table.record_metadata(self) + table.record_parse_metadata(self) table.accuracy = accuracy diff --git a/camelot/utils.py b/camelot/utils.py index 89b6eee..cc4a58c 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -1018,7 +1018,11 @@ def export_pdf_as_png(pdf_path, destination_path): pdf_path : str destination_path : str """ - gs_call = f"-q -sDEVICE=png16m -o {destination_path} -r300 {pdf_path}" + gs_call = "-q -sDEVICE=png16m -o {destination_path} -r300 {pdf_path}"\ + .format( + destination_path=destination_path, + pdf_path=pdf_path + ) gs_call = gs_call.encode().split() null = open(os.devnull, "wb") Ghostscript(*gs_call, stdout=null) @@ -1038,19 +1042,28 @@ def compare_tables(left, right): differences = [] if (diff_rows): differences.append( - f"{abs(diff_rows)} " - f"{'more' if diff_rows>0 else 'fewer'} rows" + "{diff_rows} {more_fewer} rows".format( + diff_rows=abs(diff_rows), + more_fewer='more' if diff_rows>0 else 'fewer' + ) ) if (diff_cols): differences.append( - f"{abs(diff_cols)} " - f"{'more' if diff_cols>0 else 'fewer'} columns" + "{diff_cols} {more_fewer} columns".format( + diff_cols=abs(diff_cols), + more_fewer='more' if diff_cols>0 else 'fewer' + ) ) if differences: differences_str = " and ".join(differences) - print(f"Right has {differences_str} than left " - f"[{right.shape[0]},{right.shape[1]}] vs " - f"[{left.shape[0]},{left.shape[1]}]") + print( + "Right has {differences_str} than left " + "{shape_right} vs {shape_left}".format( + differences_str=differences_str, + shape_right=[right.shape[0], right.shape[1]], + shape_left=[left.shape[0], left.shape[1]] + ) + ) table1, table2 = [left, right] name_table1, name_table2 = ["left", "right"] @@ -1070,8 +1083,11 @@ def compare_tables(left, right): diff_df[name_table2] = lcol diff_df["Match"] = lcol == scol print( - f"Column {i} different:\n" - f"{diff_df}" + "Column {i} different:\n" + "{diff_df}".format( + i=i, + diff_df=diff_df + ) ) break else: From cff7a9698b6462d140979d722fe738a0f16dbe3a Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 13:28:17 -0700 Subject: [PATCH 04/60] Further refactor Move common parse error stats computation to base parser Move copy_spanning_text logic to the table --- camelot/core.py | 37 +++++++++++++++++++++ camelot/parsers/base.py | 4 ++- camelot/parsers/lattice.py | 66 +------------------------------------- camelot/parsers/stream.py | 6 ---- 4 files changed, 41 insertions(+), 72 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 8f7cbaf..94d49e9 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -419,6 +419,12 @@ class Table(object): self.flavor = parser.id self.filename = parser.filename self.debug_info = parser.debug_info + pos_errors = parser.compute_parse_errors(self) + self.accuracy = compute_accuracy([[100, pos_errors]]) + + if parser.copy_text is not None: + self.copy_spanning_text(parser.copy_text) + data = self.data self.df = pd.DataFrame(data) self.shape = self.df.shape @@ -712,6 +718,37 @@ class Table(object): conn.commit() conn.close() + def copy_spanning_text(self, copy_text=None): + """Copies over text in empty spanning cells. + + Parameters + ---------- + copy_text : list, optional (default: None) + {'h', 'v'} + Select one or more strings from above and pass them as a list + to specify the direction in which text should be copied over + when a cell spans multiple rows or columns. + + Returns + ------- + t : camelot.core.Table + + """ + for f in copy_text: + if f == "h": + for i in range(len(self.cells)): + for j in range(len(self.cells[i])): + if self.cells[i][j].text.strip() == "": + if self.cells[i][j].hspan and not self.cells[i][j].left: + self.cells[i][j].text = self.cells[i][j - 1].text + elif f == "v": + for i in range(len(self.cells)): + for j in range(len(self.cells[i])): + if self.cells[i][j].text.strip() == "": + if self.cells[i][j].vspan and not self.cells[i][j].top: + self.cells[i][j].text = self.cells[i - 1][j].text + return self + class TableList(object): """Defines a list of camelot.core.Table objects. Each table can diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index c50a164..19deceb 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -16,6 +16,7 @@ class BaseParser(object): parser_id, table_regions=None, table_areas=None, + copy_text=None, split_text=False, strip_text="", shift_text=None, @@ -25,6 +26,7 @@ class BaseParser(object): self.table_regions = table_regions self.table_areas = table_areas + self.copy_text = copy_text self.split_text = split_text self.strip_text = strip_text self.shift_text = shift_text @@ -86,7 +88,7 @@ class BaseParser(object): """ return idx - def _compute_parse_errors(self, table): + def compute_parse_errors(self, table): pos_errors = [] # TODO: have a single list in place of two directional ones? # sorted on x-coordinate based on reading order i.e. LTR or RTL diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index c294b55..c0f3e9b 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -120,12 +120,12 @@ class Lattice(BaseParser): table_areas=table_areas, split_text=split_text, strip_text=strip_text, + copy_text=copy_text, shift_text=shift_text or ["l", "t"], flag_size=flag_size, ) self.process_background = process_background self.line_scale = line_scale - self.copy_text = copy_text self.line_tol = line_tol self.joint_tol = joint_tol self.threshold_blocksize = threshold_blocksize @@ -180,40 +180,6 @@ class Lattice(BaseParser): indices.append((r_idx, c_idx, text)) return indices - - @staticmethod - def _copy_spanning_text(t, copy_text=None): - """Copies over text in empty spanning cells. - - Parameters - ---------- - t : camelot.core.Table - copy_text : list, optional (default: None) - {'h', 'v'} - Select one or more strings from above and pass them as a list - to specify the direction in which text should be copied over - when a cell spans multiple rows or columns. - - Returns - ------- - t : camelot.core.Table - - """ - for f in copy_text: - if f == "h": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].text.strip() == "": - if t.cells[i][j].hspan and not t.cells[i][j].left: - t.cells[i][j].text = t.cells[i][j - 1].text - elif f == "v": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].text.strip() == "": - if t.cells[i][j].vspan and not t.cells[i][j].top: - t.cells[i][j].text = t.cells[i - 1][j].text - return t - def _generate_table_bbox(self): def scale_areas(areas): scaled_areas = [] @@ -342,37 +308,7 @@ class Lattice(BaseParser): # set spanning cells to True table = table.set_span() - pos_errors = [] - # TODO: have a single list in place of two directional ones? - # sorted on x-coordinate based on reading order i.e. LTR or RTL - for direction in ["vertical", "horizontal"]: - for t in self.t_bbox[direction]: - indices, error = get_table_index( - table, - t, - direction, - split_text=self.split_text, - flag_size=self.flag_size, - strip_text=self.strip_text, - ) - if indices[:2] != (-1, -1): - pos_errors.append(error) - indices = Lattice._reduce_index( - table, indices, shift_text=self.shift_text - ) - for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].text = text - # FRHTODO - accuracy = compute_accuracy([[100, pos_errors]]) - - if self.copy_text is not None: - table = Lattice._copy_spanning_text( - table, - copy_text=self.copy_text - ) - table.record_parse_metadata(self) - table.accuracy = accuracy # for plotting _text = [] diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 0d507c5..2df3093 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -419,14 +419,8 @@ class Stream(BaseParser): def _generate_table(self, table_idx, cols, rows, **kwargs): table = self._initialize_new_table(table_idx, cols, rows) table = table.set_all_edges() - - pos_errors = self._compute_parse_errors(table) - accuracy = compute_accuracy([[100, pos_errors]]) - table.record_parse_metadata(self) - table.accuracy = accuracy - # for plotting _text = [] _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) From 50f11867aff892c3e688d3ab721c94bb847e4f9c Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 14:30:32 -0700 Subject: [PATCH 05/60] Lint, refactor --- camelot/core.py | 59 +++++++++++++++++++------------------- camelot/handlers.py | 12 ++++++-- camelot/parsers/base.py | 6 ++-- camelot/parsers/lattice.py | 18 +----------- camelot/parsers/stream.py | 14 ++------- camelot/utils.py | 4 +-- 6 files changed, 47 insertions(+), 66 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 94d49e9..5712e65 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -4,7 +4,6 @@ import os import sqlite3 import zipfile import tempfile -from itertools import chain from operator import itemgetter import numpy as np @@ -191,26 +190,26 @@ class TextEdges(object): table_areas = {} for te in relevant_textedges: - if not table_areas: + if not table_areas: + table_areas[(te.x, te.y0, te.x, te.y1)] = None + else: + found = None + for area in table_areas: + # check for overlap + if te.y1 >= area[1] and te.y0 <= area[3]: + found = area + break + if found is None: table_areas[(te.x, te.y0, te.x, te.y1)] = None else: - found = None - for area in table_areas: - # check for overlap - if te.y1 >= area[1] and te.y0 <= area[3]: - found = area - break - if found is None: - table_areas[(te.x, te.y0, te.x, te.y1)] = None - else: - table_areas.pop(found) - updated_area = ( - found[0], - min(te.y0, found[1]), - max(found[2], te.x), - max(found[3], te.y1), - ) - table_areas[updated_area] = None + table_areas.pop(found) + updated_area = ( + found[0], + min(te.y0, found[1]), + max(found[2], te.x), + max(found[3], te.y1), + ) + table_areas[updated_area] = None # extend table areas based on textlines that overlap # vertically. it's possible that these textlines were @@ -736,17 +735,19 @@ class Table(object): """ for f in copy_text: if f == "h": - for i in range(len(self.cells)): - for j in range(len(self.cells[i])): - if self.cells[i][j].text.strip() == "": - if self.cells[i][j].hspan and not self.cells[i][j].left: - self.cells[i][j].text = self.cells[i][j - 1].text + for i, row in enumerate(self.cells): + for j, cell in enumerate(row): + if cell.text.strip() == "" and \ + cell.hspan and \ + not cell.left: + cell.text = self.cells[i][j - 1].text elif f == "v": - for i in range(len(self.cells)): - for j in range(len(self.cells[i])): - if self.cells[i][j].text.strip() == "": - if self.cells[i][j].vspan and not self.cells[i][j].top: - self.cells[i][j].text = self.cells[i - 1][j].text + for i, row in enumerate(self.cells): + for j, cell in enumerate(row): + if cell.text.strip() == "" and \ + cell.vspan and \ + not cell.top: + cell.text = self.cells[i - 1][j].text return self diff --git a/camelot/handlers.py b/camelot/handlers.py index 7a9f2ff..64b6197 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -2,6 +2,7 @@ import os import sys +import logging from PyPDF2 import PdfFileReader, PdfFileWriter @@ -16,6 +17,8 @@ from .utils import ( download_url, ) +logger = logging.getLogger("camelot") + PARSERS = { "lattice": Lattice, "stream": Stream @@ -199,10 +202,13 @@ class PDFHandler(object): layout_kwargs=layout_kwargs ) parser._generate_layout(source_file, layout, dimensions, - page_idx, layout_kwargs) + page_idx, layout_kwargs) + rootname = os.path.basename(parser.rootname) + if not suppress_stdout: + logger.info( + "Processing {rootname}".format(rootname=rootname)) t = parser.extract_tables( - source_file, - suppress_stdout=suppress_stdout + source_file ) tables.extend(t) return TableList(sorted(tables)) diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 19deceb..b364f04 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -12,7 +12,8 @@ from ..core import Table class BaseParser(object): """Defines a base parser. """ - def __init__(self, + def __init__( + self, parser_id, table_regions=None, table_areas=None, @@ -33,6 +34,7 @@ class BaseParser(object): self.flag_size = flag_size + self.rootname = None self.t_bbox = None # For plotting details of parsing algorithms @@ -79,7 +81,6 @@ class BaseParser(object): table.order = table_idx + 1 return table - @staticmethod def _reduce_index(t, idx, shift_text): """Reduces index of a text object if it lies within a spanning @@ -112,4 +113,3 @@ class BaseParser(object): for r_idx, c_idx, text in indices: table.cells[r_idx][c_idx].text = text return pos_errors - diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index c0f3e9b..cefc27f 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -2,15 +2,9 @@ from __future__ import division import os -import sys import copy -import locale -import logging import warnings -import subprocess -import numpy as np -import pandas as pd from .base import BaseParser from ..utils import ( @@ -21,8 +15,6 @@ from ..utils import ( segments_in_bbox, text_in_bbox, merge_close_lines, - get_table_index, - compute_accuracy, ) from ..image_processing import ( adaptive_threshold, @@ -32,9 +24,6 @@ from ..image_processing import ( ) -logger = logging.getLogger("camelot") - - class Lattice(BaseParser): """Lattice method of parsing looks for lines between text to parse the table. @@ -322,13 +311,8 @@ class Lattice(BaseParser): return table - def extract_tables(self, filename, suppress_stdout=False): - # FRHTODO: move extract table core to the base class + def extract_tables(self, filename): rootname = os.path.basename(self.rootname) - if not suppress_stdout: - logger.info( - "Processing {rootname}".format(rootname=rootname)) - if not self.horizontal_text: if self.images: warnings.warn( diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 2df3093..351d7d3 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -2,19 +2,13 @@ from __future__ import division import os -import logging import warnings import numpy as np -import pandas as pd from .base import BaseParser from ..core import TextEdges -from ..utils import (text_in_bbox, compute_accuracy, - compute_whitespace) - - -logger = logging.getLogger("camelot") +from ..utils import (text_in_bbox) class Stream(BaseParser): @@ -432,11 +426,7 @@ class Stream(BaseParser): return table - def extract_tables(self, filename, suppress_stdout=False): - if not suppress_stdout: - logger.info("Processing {}".format( - os.path.basename(self.rootname))) - + def extract_tables(self, filename): if not self.horizontal_text: if self.images: warnings.warn( diff --git a/camelot/utils.py b/camelot/utils.py index cc4a58c..2c66e7c 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -1044,14 +1044,14 @@ def compare_tables(left, right): differences.append( "{diff_rows} {more_fewer} rows".format( diff_rows=abs(diff_rows), - more_fewer='more' if diff_rows>0 else 'fewer' + more_fewer='more' if diff_rows > 0 else 'fewer' ) ) if (diff_cols): differences.append( "{diff_cols} {more_fewer} columns".format( diff_cols=abs(diff_cols), - more_fewer='more' if diff_cols>0 else 'fewer' + more_fewer='more' if diff_cols > 0 else 'fewer' ) ) if differences: From c27a8026d6e6b56b7690ccfc6c16d3b7465f939c Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 14:42:18 -0700 Subject: [PATCH 06/60] More linting, refactor --- camelot/handlers.py | 6 +++--- camelot/parsers/base.py | 21 +++++++++++++++++++-- camelot/parsers/lattice.py | 14 +------------- camelot/parsers/stream.py | 14 +------------- camelot/utils.py | 8 ++++++-- 5 files changed, 30 insertions(+), 33 deletions(-) diff --git a/camelot/handlers.py b/camelot/handlers.py index 64b6197..08685a6 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -25,7 +25,7 @@ PARSERS = { } -class PDFHandler(object): +class PDFHandler(): """Handles all operations like temp directory creation, splitting file into single page PDFs, parsing each PDF and then removing the temp directory. @@ -201,8 +201,8 @@ class PDFHandler(object): page_idx, layout_kwargs=layout_kwargs ) - parser._generate_layout(source_file, layout, dimensions, - page_idx, layout_kwargs) + parser.prepare_page_parse(source_file, layout, dimensions, + page_idx, layout_kwargs) rootname = os.path.basename(parser.rootname) if not suppress_stdout: logger.info( diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index b364f04..921a118 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -1,6 +1,7 @@ # -*- coding: utf-8 -*- import os +import warnings from ..utils import ( get_text_objects, @@ -40,8 +41,8 @@ class BaseParser(object): # For plotting details of parsing algorithms self.debug_info = {} - def _generate_layout(self, filename, layout, dimensions, - page_idx, layout_kwargs): + def prepare_page_parse(self, filename, layout, dimensions, + page_idx, layout_kwargs): self.filename = filename self.layout_kwargs = layout_kwargs self.layout = layout @@ -59,6 +60,22 @@ class BaseParser(object): self.pdf_width, self.pdf_height = self.dimensions self.rootname, __ = os.path.splitext(self.filename) + def _document_has_no_text(self): + if not self.horizontal_text: + rootname = os.path.basename(self.rootname) + if self.images: + warnings.warn( + "{rootname} is image-based, " + "camelot only works on text-based pages." + .format(rootname=rootname) + ) + else: + warnings.warn( + "No tables found on {rootname}".format(rootname=rootname) + ) + return True + return False + """Initialize new table object, ready to be populated Parameters diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index cefc27f..66dd98c 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -3,7 +3,6 @@ from __future__ import division import os import copy -import warnings from .base import BaseParser @@ -312,18 +311,7 @@ class Lattice(BaseParser): return table def extract_tables(self, filename): - rootname = os.path.basename(self.rootname) - if not self.horizontal_text: - if self.images: - warnings.warn( - "{rootname} is image-based, " - "camelot only works on text-based pages." - .format(rootname=rootname) - ) - else: - warnings.warn( - "No tables found on {rootname}".format(rootname=rootname) - ) + if self._document_has_no_text(): return [] self._generate_table_bbox() diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 351d7d3..2badb39 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -1,7 +1,6 @@ # -*- coding: utf-8 -*- from __future__ import division -import os import warnings import numpy as np @@ -427,18 +426,7 @@ class Stream(BaseParser): return table def extract_tables(self, filename): - if not self.horizontal_text: - if self.images: - warnings.warn( - "{} is image-based, camelot only works on" - " text-based pages.".format( - os.path.basename(self.rootname)) - ) - else: - warnings.warn( - "No tables found on {}".format( - os.path.basename(self.rootname)) - ) + if self._document_has_no_text(): return [] # Identify plausible areas within the doc where tables lie, diff --git a/camelot/utils.py b/camelot/utils.py index 2c66e7c..e6f8e50 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -1107,11 +1107,15 @@ def compare_tables(left, right): diff_df = diff_df.append(lrow, ignore_index=True) diff_df = diff_df.append(srow, ignore_index=True) diff_df.insert(0, 'Table', [name_table1, name_table2]) - print(f"Row {index} differs:") + print("Row {index} differs:".format(index=index)) print(diff_df.values) break else: - print(f"Row {index} unique to {name_table1}: {lrow}") + print("Row {index} unique to {name_table1}: {lrow}".format( + index=index, + name_table1=name_table1, + lrow=lrow + )) break else: print("Tables have different shapes") From d673a3b6e07b75ba33cceed00bfcae7993f6bfa0 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 15:07:59 -0700 Subject: [PATCH 07/60] Fix unit test with plotting --- tests/test_plotting.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/tests/test_plotting.py b/tests/test_plotting.py index 565c68c..277eefc 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -36,6 +36,8 @@ def test_text_plot(): return camelot.plot(tables[0], kind='text') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_grid_plot(): @@ -71,6 +73,8 @@ def test_stream_contour_plot(): return camelot.plot(tables[0], kind='contour') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_line_plot(): From 58823e57e9afff48299a9f3b301dfb521fe5d144 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 15:41:45 -0700 Subject: [PATCH 08/60] More refactoring / linting --- camelot/core.py | 6 ++++++ camelot/parsers/lattice.py | 25 +++++++++---------------- camelot/parsers/stream.py | 25 +++++++++---------------- camelot/utils.py | 29 +++++++++++++++++++++++++++++ 4 files changed, 53 insertions(+), 32 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 5712e65..cef90c4 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -431,6 +431,12 @@ class Table(object): self.whitespace = compute_whitespace(data) self.pdf_size = (parser.pdf_width, parser.pdf_height) + _text = [] + _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in parser.horizontal_text]) + _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in parser.vertical_text]) + self._text = _text + + def get_pdf_image(self): """Compute pdf image and cache it """ diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 66dd98c..e47e1eb 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -12,7 +12,7 @@ from ..utils import ( scale_image, scale_pdf, segments_in_bbox, - text_in_bbox, + text_in_bbox_per_axis, merge_close_lines, ) from ..image_processing import ( @@ -252,19 +252,17 @@ class Lattice(BaseParser): table_bbox, vertical_segments, horizontal_segments, pdf_scalers ) - def _generate_columns_and_rows(self, table_idx, tk): + + def _generate_columns_and_rows(self, tk): # select elements which lie within table_bbox - t_bbox = {} v_s, h_s = segments_in_bbox( tk, self.vertical_segments, self.horizontal_segments ) - t_bbox["horizontal"] = text_in_bbox(tk, self.horizontal_text) - t_bbox["vertical"] = text_in_bbox(tk, self.vertical_text) - - t_bbox["horizontal"].sort(key=lambda x: (-x.y0, x.x0)) - t_bbox["vertical"].sort(key=lambda x: (x.x0, -x.y0)) - - self.t_bbox = t_bbox + self.t_bbox = text_in_bbox_per_axis( + tk, + self.horizontal_text, + self.vertical_text + ) cols, rows = zip(*self.table_bbox[tk]) cols, rows = list(cols), list(rows) @@ -299,10 +297,6 @@ class Lattice(BaseParser): table.record_parse_metadata(self) # for plotting - _text = [] - _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) - _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) - table._text = _text table._image = self.pdf_image # Reuse the image used for calc table._bbox_unscaled = self.table_bbox_unscaled table._segments = (self.vertical_segments, self.horizontal_segments) @@ -321,8 +315,7 @@ class Lattice(BaseParser): for table_idx, tk in enumerate( sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) ): - cols, rows, v_s, h_s = self._generate_columns_and_rows( - table_idx, tk) + cols, rows, v_s, h_s = self._generate_columns_and_rows(tk) table = self._generate_table( table_idx, cols, rows, v_s=v_s, h_s=h_s) table._bbox = tk diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 2badb39..087f5ce 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -7,7 +7,7 @@ import numpy as np from .base import BaseParser from ..core import TextEdges -from ..utils import (text_in_bbox) +from ..utils import (text_in_bbox, text_in_bbox_per_axis) class Stream(BaseParser): @@ -331,14 +331,11 @@ class Stream(BaseParser): def _generate_columns_and_rows(self, table_idx, tk): # select elements which lie within table_bbox - t_bbox = {} - t_bbox["horizontal"] = text_in_bbox(tk, self.horizontal_text) - t_bbox["vertical"] = text_in_bbox(tk, self.vertical_text) - - t_bbox["horizontal"].sort(key=lambda x: (-x.y0, x.x0)) - t_bbox["vertical"].sort(key=lambda x: (x.x0, -x.y0)) - - self.t_bbox = t_bbox + self.t_bbox = text_in_bbox_per_axis( + tk, + self.horizontal_text, + self.vertical_text + ) text_x_min, text_y_min, text_x_max, text_y_max = \ self._text_bbox(self.t_bbox) @@ -415,10 +412,6 @@ class Stream(BaseParser): table.record_parse_metadata(self) # for plotting - _text = [] - _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) - _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) - table._text = _text table._bbox = self.table_bbox table._segments = None table._textedges = self.textedges @@ -435,12 +428,12 @@ class Stream(BaseParser): _tables = [] # sort tables based on y-coord - for table_idx, tk in enumerate( + for table_idx, bbox in enumerate( sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) ): - cols, rows = self._generate_columns_and_rows(table_idx, tk) + cols, rows = self._generate_columns_and_rows(table_idx, bbox) table = self._generate_table(table_idx, cols, rows) - table._bbox = tk + table._bbox = bbox _tables.append(table) return _tables diff --git a/camelot/utils.py b/camelot/utils.py index e6f8e50..7e789b2 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -417,6 +417,35 @@ def text_in_bbox(bbox, text): return t_bbox +def text_in_bbox_per_axis(bbox, horizontal_text, vertical_text): + """Returns all text objects present inside a bounding box, split between + horizontal and vertical text. + + Parameters + ---------- + bbox : tuple + Tuple (x1, y1, x2, y2) representing a bounding box where + (x1, y1) -> lb and (x2, y2) -> rt in the PDF coordinate + space. + horizontal_text : List of PDFMiner text objects. + vertical_text : List of PDFMiner text objects. + + Returns + ------- + t_bbox : dict + Dict of lists of PDFMiner text objects that lie inside table, with one + key each for "horizontal" and "vertical" + + """ + t_bbox = {} + t_bbox["horizontal"] = text_in_bbox(bbox, horizontal_text) + t_bbox["vertical"] = text_in_bbox(bbox, vertical_text) + + t_bbox["horizontal"].sort(key=lambda x: (-x.y0, x.x0)) + t_bbox["vertical"].sort(key=lambda x: (x.x0, -x.y0)) + return t_bbox + + def bbox_from_text(textlines): """Returns the smallest bbox containing all the text objects passed as a parameters. From d520a77bb70108fa7a750bf180da75fe1e6c96f7 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 16:27:01 -0700 Subject: [PATCH 09/60] Initial Hybrid parser, for now identical to Stream --- camelot/cli.py | 121 ++++- camelot/core.py | 6 +- camelot/handlers.py | 7 +- camelot/io.py | 5 +- camelot/parsers/__init__.py | 1 + camelot/parsers/hybrid.py | 441 ++++++++++++++++++ camelot/parsers/lattice.py | 1 - camelot/plotting.py | 2 +- .../test_hybrid_contour_plot.png | Bin 0 -> 15438 bytes .../baseline_plots/test_hybrid_grid_plot.png | Bin 0 -> 50045 bytes .../test_hybrid_textedge_plot.png | Bin 0 -> 115318 bytes .../test_stream_textedge_plot.png | Bin 0 -> 115318 bytes tests/test_cli.py | 20 + tests/test_common.py | 109 +++++ tests/test_plotting.py | 32 +- 15 files changed, 726 insertions(+), 19 deletions(-) create mode 100644 camelot/parsers/hybrid.py create mode 100644 tests/files/baseline_plots/test_hybrid_contour_plot.png create mode 100644 tests/files/baseline_plots/test_hybrid_grid_plot.png create mode 100644 tests/files/baseline_plots/test_hybrid_textedge_plot.png create mode 100644 tests/files/baseline_plots/test_stream_textedge_plot.png diff --git a/camelot/cli.py b/camelot/cli.py index 0298992..e276f01 100644 --- a/camelot/cli.py +++ b/camelot/cli.py @@ -31,7 +31,8 @@ pass_config = click.make_pass_decorator(Config) @click.group(name="camelot") @click.version_option(version=__version__) -@click.option("-q", "--quiet", is_flag=False, help="Suppress logs and warnings.") +@click.option("-q", "--quiet", is_flag=False, + help="Suppress logs and warnings.") @click.option( "-p", "--pages", @@ -98,7 +99,8 @@ def cli(ctx, *args, **kwargs): " where x1, y1 -> left-top and x2, y2 -> right-bottom.", ) @click.option( - "-back", "--process_background", is_flag=True, help="Process background lines." + "-back", "--process_background", is_flag=True, + help="Process background lines." ) @click.option( "-scale", @@ -127,7 +129,8 @@ def cli(ctx, *args, **kwargs): "-l", "--line_tol", default=2, - help="Tolerance parameter used to merge close vertical" " and horizontal lines.", + help="Tolerance parameter used to merge close vertical" + " and horizontal lines.", ) @click.option( "-j", @@ -197,12 +200,15 @@ def lattice(c, *args, **kwargs): raise ImportError("matplotlib is required for plotting.") else: if output is None: - raise click.UsageError("Please specify output file path using --output") + raise click.UsageError( + "Please specify output file path using --output") if f is None: - raise click.UsageError("Please specify output file format using --format") + raise click.UsageError( + "Please specify output file format using --format") tables = read_pdf( - filepath, pages=pages, flavor="lattice", suppress_stdout=quiet, **kwargs + filepath, pages=pages, flavor="lattice", suppress_stdout=quiet, + **kwargs ) click.echo("Found {} tables".format(tables.n)) if plot_type is not None: @@ -247,7 +253,8 @@ def lattice(c, *args, **kwargs): "-r", "--row_tol", default=2, - help="Tolerance parameter" " used to combine text vertically, to generate rows.", + help="Tolerance parameter" + " used to combine text vertically, to generate rows.", ) @click.option( "-c", @@ -288,9 +295,11 @@ def stream(c, *args, **kwargs): raise ImportError("matplotlib is required for plotting.") else: if output is None: - raise click.UsageError("Please specify output file path using --output") + raise click.UsageError( + "Please specify output file path using --output") if f is None: - raise click.UsageError("Please specify output file format using --format") + raise click.UsageError( + "Please specify output file format using --format") tables = read_pdf( filepath, pages=pages, flavor="stream", suppress_stdout=quiet, **kwargs @@ -302,3 +311,97 @@ def stream(c, *args, **kwargs): plt.show() else: tables.export(output, f=f, compress=compress) + + +@cli.command("hybrid") +@click.option( + "-R", + "--table_regions", + default=[], + multiple=True, + help="Page regions to analyze. Example: x1,y1,x2,y2" + " where x1, y1 -> left-top and x2, y2 -> right-bottom.", +) +@click.option( + "-T", + "--table_areas", + default=[], + multiple=True, + help="Table areas to process. Example: x1,y1,x2,y2" + " where x1, y1 -> left-top and x2, y2 -> right-bottom.", +) +@click.option( + "-C", + "--columns", + default=[], + multiple=True, + help="X coordinates of column separators.", +) +@click.option( + "-e", + "--edge_tol", + default=50, + help="Tolerance parameter" " for extending textedges vertically.", +) +@click.option( + "-r", + "--row_tol", + default=2, + help="Tolerance parameter" + " used to combine text vertically, to generate rows.", +) +@click.option( + "-c", + "--column_tol", + default=0, + help="Tolerance parameter" + " used to combine text horizontally, to generate columns.", +) +@click.option( + "-plot", + "--plot_type", + type=click.Choice(["text", "grid", "contour", "textedge"]), + help="Plot elements found on PDF page for visual debugging.", +) +@click.argument("filepath", type=click.Path(exists=True)) +@pass_config +def hybrid(c, *args, **kwargs): + """Use spaces between text to parse the table.""" + conf = c.config + pages = conf.pop("pages") + output = conf.pop("output") + f = conf.pop("format") + compress = conf.pop("zip") + quiet = conf.pop("quiet") + plot_type = kwargs.pop("plot_type") + filepath = kwargs.pop("filepath") + kwargs.update(conf) + + table_regions = list(kwargs["table_regions"]) + kwargs["table_regions"] = None if not table_regions else table_regions + table_areas = list(kwargs["table_areas"]) + kwargs["table_areas"] = None if not table_areas else table_areas + columns = list(kwargs["columns"]) + kwargs["columns"] = None if not columns else columns + + if plot_type is not None: + if not _HAS_MPL: + raise ImportError("matplotlib is required for plotting.") + else: + if output is None: + raise click.UsageError( + "Please specify output file path using --output") + if f is None: + raise click.UsageError( + "Please specify output file format using --format") + + tables = read_pdf( + filepath, pages=pages, flavor="hybrid", suppress_stdout=quiet, **kwargs + ) + click.echo("Found {} tables".format(tables.n)) + if plot_type is not None: + for table in tables: + plot(table, kind=plot_type) + plt.show() + else: + tables.export(output, f=f, compress=compress) diff --git a/camelot/core.py b/camelot/core.py index cef90c4..7405fd1 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -379,6 +379,8 @@ class Table(object): self._image = None self._image_path = None # Temporary file to hold an image of the pdf + self._text = [] # List of text box coordinates + def __repr__(self): return "<{} shape={}>".format(self.__class__.__name__, self.shape) @@ -432,11 +434,11 @@ class Table(object): self.pdf_size = (parser.pdf_width, parser.pdf_height) _text = [] - _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in parser.horizontal_text]) + _text.extend( + [(t.x0, t.y0, t.x1, t.y1) for t in parser.horizontal_text]) _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in parser.vertical_text]) self._text = _text - def get_pdf_image(self): """Compute pdf image and cache it """ diff --git a/camelot/handlers.py b/camelot/handlers.py index 08685a6..8439c69 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -7,7 +7,7 @@ import logging from PyPDF2 import PdfFileReader, PdfFileWriter from .core import TableList -from .parsers import Stream, Lattice +from .parsers import Stream, Lattice, Hybrid from .utils import ( build_file_path_in_temp_dir, get_page_layout, @@ -21,7 +21,8 @@ logger = logging.getLogger("camelot") PARSERS = { "lattice": Lattice, - "stream": Stream + "stream": Stream, + "hybrid": Hybrid, } @@ -173,7 +174,7 @@ class PDFHandler(): Parameters ---------- flavor : str (default: 'lattice') - The parsing method to use ('lattice' or 'stream'). + The parsing method to use ('lattice', 'stream', or 'hybrid'). Lattice is used by default. suppress_stdout : str (default: False) Suppress logs and warnings. diff --git a/camelot/io.py b/camelot/io.py index 49d05cb..6521663 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -99,9 +99,10 @@ def read_pdf( """ layout_kwargs = layout_kwargs or {} - if flavor not in ["lattice", "stream"]: + if flavor not in ["lattice", "stream", "hybrid"]: raise NotImplementedError( - "Unknown flavor specified." " Use either 'lattice' or 'stream'" + "Unknown flavor specified." + " Use either 'lattice', 'stream', or 'hybrid'" ) with warnings.catch_warnings(): diff --git a/camelot/parsers/__init__.py b/camelot/parsers/__init__.py index 5cc6605..38a909f 100644 --- a/camelot/parsers/__init__.py +++ b/camelot/parsers/__init__.py @@ -2,3 +2,4 @@ from .stream import Stream from .lattice import Lattice +from .hybrid import Hybrid diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py new file mode 100644 index 0000000..9d12350 --- /dev/null +++ b/camelot/parsers/hybrid.py @@ -0,0 +1,441 @@ + + +# -*- coding: utf-8 -*- + +from __future__ import division +import warnings + +import numpy as np + +from .base import BaseParser +from ..core import TextEdges +from ..utils import (text_in_bbox, text_in_bbox_per_axis) + + +class Hybrid(BaseParser): + """Hybrid method of parsing looks for spaces between text + to parse the table. + + If you want to specify columns when specifying multiple table + areas, make sure that the length of both lists are equal. + + Parameters + ---------- + table_regions : list, optional (default: None) + List of page regions that may contain tables of the form x1,y1,x2,y2 + where (x1, y1) -> left-top and (x2, y2) -> right-bottom + in PDF coordinate space. + table_areas : list, optional (default: None) + List of table area strings of the form x1,y1,x2,y2 + where (x1, y1) -> left-top and (x2, y2) -> right-bottom + in PDF coordinate space. + columns : list, optional (default: None) + List of column x-coordinates strings where the coordinates + are comma-separated. + split_text : bool, optional (default: False) + Split text that spans across multiple cells. + flag_size : bool, optional (default: False) + Flag text based on font size. Useful to detect + super/subscripts. Adds around flagged text. + strip_text : str, optional (default: '') + Characters that should be stripped from a string before + assigning it to a cell. + edge_tol : int, optional (default: 50) + Tolerance parameter for extending textedges vertically. + row_tol : int, optional (default: 2) + Tolerance parameter used to combine text vertically, + to generate rows. + column_tol : int, optional (default: 0) + Tolerance parameter used to combine text horizontally, + to generate columns. + + """ + + def __init__( + self, + table_regions=None, + table_areas=None, + columns=None, + flag_size=False, + split_text=False, + strip_text="", + edge_tol=50, + row_tol=2, + column_tol=0, + **kwargs + ): + super().__init__( + "hybrid", + table_regions=table_regions, + table_areas=table_areas, + split_text=split_text, + strip_text=strip_text, + flag_size=flag_size, + ) + self.columns = columns + self._validate_columns() + self.edge_tol = edge_tol + self.row_tol = row_tol + self.column_tol = column_tol + + @staticmethod + def _text_bbox(t_bbox): + """Returns bounding box for the text present on a page. + + Parameters + ---------- + t_bbox : dict + Dict with two keys 'horizontal' and 'vertical' with lists of + LTTextLineHorizontals and LTTextLineVerticals respectively. + + Returns + ------- + text_bbox : tuple + Tuple (x0, y0, x1, y1) in pdf coordinate space. + + """ + xmin = min(t.x0 for direction in t_bbox for t in t_bbox[direction]) + ymin = min(t.y0 for direction in t_bbox for t in t_bbox[direction]) + xmax = max(t.x1 for direction in t_bbox for t in t_bbox[direction]) + ymax = max(t.y1 for direction in t_bbox for t in t_bbox[direction]) + text_bbox = (xmin, ymin, xmax, ymax) + return text_bbox + + @staticmethod + def _group_rows(text, row_tol=2): + """Groups PDFMiner text objects into rows vertically + within a tolerance. + + Parameters + ---------- + text : list + List of PDFMiner text objects. + row_tol : int, optional (default: 2) + + Returns + ------- + rows : list + Two-dimensional list of text objects grouped into rows. + + """ + row_y = None + rows = [] + temp = [] + non_empty_text = [t for t in text if t.get_text().strip()] + for t in non_empty_text: + # is checking for upright necessary? + # if t.get_text().strip() and all([obj.upright \ + # for obj in t._objs + # if type(obj) is LTChar]): + if row_y is None: + row_y = t.y0 + elif not np.isclose(row_y, t.y0, atol=row_tol): + rows.append(sorted(temp, key=lambda t: t.x0)) + temp = [] + # We update the row's bottom as we go, to be forgiving if there + # is a gradual change across multiple columns. + row_y = t.y0 + temp.append(t) + rows.append(sorted(temp, key=lambda t: t.x0)) + return rows + + @staticmethod + def _merge_columns(l, column_tol=0): + """Merges column boundaries horizontally if they overlap + or lie within a tolerance. + + Parameters + ---------- + l : list + List of column x-coordinate tuples. + column_tol : int, optional (default: 0) + + Returns + ------- + merged : list + List of merged column x-coordinate tuples. + + """ + merged = [] + for higher in l: + if not merged: + merged.append(higher) + else: + lower = merged[-1] + if column_tol >= 0: + if higher[0] <= lower[1] or np.isclose( + higher[0], lower[1], atol=column_tol + ): + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + elif column_tol < 0: + if higher[0] <= lower[1]: + if np.isclose(higher[0], lower[1], + atol=abs(column_tol)): + merged.append(higher) + else: + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + return merged + + @staticmethod + def _join_rows(rows_grouped, text_y_max, text_y_min): + """Makes row coordinates continuous. For the row to "touch" + we split the existing gap between them in half. + + Parameters + ---------- + rows_grouped : list + Two-dimensional list of text objects grouped into rows. + text_y_max : int + text_y_min : int + + Returns + ------- + rows : list + List of continuous row y-coordinate tuples. + + """ + row_boundaries = [ + [ + max(t.y1 for t in r), + min(t.y0 for t in r) + ] + for r in rows_grouped + ] + for i in range(0, len(row_boundaries)-1): + top_row = row_boundaries[i] + bottom_row = row_boundaries[i+1] + top_row[1] = bottom_row[0] = (top_row[1] + bottom_row[0]) / 2 + row_boundaries[0][0] = text_y_max + row_boundaries[-1][1] = text_y_min + return row_boundaries + + @staticmethod + def _add_columns(cols, text, row_tol): + """Adds columns to existing list by taking into account + the text that lies outside the current column x-coordinates. + + Parameters + ---------- + cols : list + List of column x-coordinate tuples. + text : list + List of PDFMiner text objects. + ytol : int + + Returns + ------- + cols : list + Updated list of column x-coordinate tuples. + + """ + if text: + text = Hybrid._group_rows(text, row_tol=row_tol) + elements = [len(r) for r in text] + new_cols = [ + (t.x0, t.x1) + for r in text if len(r) == max(elements) + for t in r + ] + cols.extend(Hybrid._merge_columns(sorted(new_cols))) + return cols + + @staticmethod + def _join_columns(cols, text_x_min, text_x_max): + """Makes column coordinates continuous. + + Parameters + ---------- + cols : list + List of column x-coordinate tuples. + text_x_min : int + text_y_max : int + + Returns + ------- + cols : list + Updated list of column x-coordinate tuples. + + """ + cols = sorted(cols) + cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + return cols + + def _validate_columns(self): + if self.table_areas is not None and self.columns is not None: + if len(self.table_areas) != len(self.columns): + raise ValueError("Length of table_areas and columns" + " should be equal") + + def _nurminen_table_detection(self, textlines): + """A general implementation of the table detection algorithm + described by Anssi Nurminen's master's thesis. + Link: https://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3 # noqa + + Assumes that tables are situated relatively far apart + vertically. + """ + # TODO: add support for arabic text #141 + # sort textlines in reading order + textlines.sort(key=lambda x: (-x.y0, x.x0)) + textedges = TextEdges(edge_tol=self.edge_tol) + # generate left, middle and right textedges + textedges.generate(textlines) + # select relevant edges + relevant_textedges = textedges.get_relevant() + self.textedges.extend(relevant_textedges) + # guess table areas using textlines and relevant edges + table_bbox = textedges.get_table_areas(textlines, relevant_textedges) + # treat whole page as table area if no table areas found + if not table_bbox: + table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None} + + return table_bbox + + def _generate_table_bbox(self): + self.textedges = [] + if self.table_areas is None: + hor_text = self.horizontal_text + if self.table_regions is not None: + # filter horizontal text + hor_text = [] + for region in self.table_regions: + x1, y1, x2, y2 = region.split(",") + x1 = float(x1) + y1 = float(y1) + x2 = float(x2) + y2 = float(y2) + region_text = text_in_bbox( + (x1, y2, x2, y1), self.horizontal_text) + hor_text.extend(region_text) + # find tables based on nurminen's detection algorithm + table_bbox = self._nurminen_table_detection(hor_text) + else: + table_bbox = {} + for area in self.table_areas: + x1, y1, x2, y2 = area.split(",") + x1 = float(x1) + y1 = float(y1) + x2 = float(x2) + y2 = float(y2) + table_bbox[(x1, y2, x2, y1)] = None + self.table_bbox = table_bbox + + def _generate_columns_and_rows(self, table_idx, tk): + # select elements which lie within table_bbox + self.t_bbox = text_in_bbox_per_axis( + tk, + self.horizontal_text, + self.vertical_text + ) + + text_x_min, text_y_min, text_x_max, text_y_max = \ + self._text_bbox(self.t_bbox) + rows_grouped = self._group_rows( + self.t_bbox["horizontal"], row_tol=self.row_tol) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) + elements = [len(r) for r in rows_grouped] + + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + cols = self.columns[table_idx].split(",") + cols = [float(c) for c in cols] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + else: + # calculate mode of the list of number of elements in + # each row to guess the number of columns + ncols = max(set(elements), key=elements.count) + if ncols == 1: + # if mode is 1, the page usually contains not tables + # but there can be cases where the list can be skewed, + # try to remove all 1s from list in this case and + # see if the list contains elements, if yes, then use + # the mode after removing 1s + elements = list(filter(lambda x: x != 1, elements)) + if elements: + ncols = max(set(elements), key=elements.count) + else: + warnings.warn( + "No tables found in table area {}" + .format(table_idx + 1) + ) + cols = [ + (t.x0, t.x1) + for r in rows_grouped + if len(r) == ncols + for t in r + ] + cols = self._merge_columns( + sorted(cols), + column_tol=self.column_tol + ) + inner_text = [] + for i in range(1, len(cols)): + left = cols[i - 1][1] + right = cols[i][0] + inner_text.extend( + [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > left and t.x1 < right + ] + ) + outer_text = [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > cols[-1][1] or t.x1 < cols[0][0] + ] + inner_text.extend(outer_text) + cols = self._add_columns(cols, inner_text, self.row_tol) + cols = self._join_columns(cols, text_x_min, text_x_max) + + return cols, rows + + def _generate_table(self, table_idx, cols, rows, **kwargs): + table = self._initialize_new_table(table_idx, cols, rows) + table = table.set_all_edges() + table.record_parse_metadata(self) + + # for plotting + table._bbox = self.table_bbox + table._segments = None + table._textedges = self.textedges + + return table + + def extract_tables(self, filename): + if self._document_has_no_text(): + return [] + + # Identify plausible areas within the doc where tables lie, + # populate table_bbox keys with these areas. + self._generate_table_bbox() + + _tables = [] + # sort tables based on y-coord + for table_idx, bbox in enumerate( + sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) + ): + cols, rows = self._generate_columns_and_rows(table_idx, bbox) + table = self._generate_table(table_idx, cols, rows) + table._bbox = bbox + _tables.append(table) + + return _tables diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index e47e1eb..b7cb02e 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -252,7 +252,6 @@ class Lattice(BaseParser): table_bbox, vertical_segments, horizontal_segments, pdf_scalers ) - def _generate_columns_and_rows(self, tk): # select elements which lie within table_bbox v_s, h_s = segments_in_bbox( diff --git a/camelot/plotting.py b/camelot/plotting.py index 0782bb1..b290af5 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -37,7 +37,7 @@ class PlotMethods(object): raise NotImplementedError( "Lattice flavor does not support kind='{}'".format(kind) ) - elif table.flavor == "stream" and kind in ["line"]: + elif table.flavor in ["stream", "hybrid"] and kind in ["line"]: raise NotImplementedError( "Stream flavor does not support kind='{}'".format(kind) ) diff --git a/tests/files/baseline_plots/test_hybrid_contour_plot.png 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d3b7d55..3641b47 100755 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -72,6 +72,26 @@ def test_cli_stream(): assert format_error in result.output +def test_cli_hybrid(): + with TemporaryDirectory() as tempdir: + infile = os.path.join(testdir, "budget.pdf") + outfile = os.path.join(tempdir, "budget.csv") + runner = CliRunner() + result = runner.invoke( + cli, ["--format", "csv", "--output", outfile, "hybrid", infile] + ) + assert result.exit_code == 0 + assert result.output == "Found 1 tables\n" + + result = runner.invoke(cli, ["--format", "csv", "hybrid", infile]) + output_error = "Error: Please specify output file path using --output" + assert output_error in result.output + + result = runner.invoke(cli, ["--output", outfile, "hybrid", infile]) + format_error = "Please specify output file format using --format" + assert format_error in result.output + + def test_cli_password(): with TemporaryDirectory() as tempdir: infile = os.path.join(testdir, "health_protected.pdf") diff --git a/tests/test_common.py b/tests/test_common.py index 5f0d853..fe3e368 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -148,6 +148,115 @@ def test_stream_layout_kwargs(): assert_frame_equal(df, tables[0].df) +def test_hybrid(): + df = pd.DataFrame(data_stream) + + filename = os.path.join(testdir, "health.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_table_rotated(): + df = pd.DataFrame(data_stream_table_rotated) + + filename = os.path.join(testdir, "clockwise_table_2.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + assert_frame_equal(df, tables[0].df) + + filename = os.path.join(testdir, "anticlockwise_table_2.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_two_tables(): + df1 = pd.DataFrame(data_stream_two_tables_1) + df2 = pd.DataFrame(data_stream_two_tables_2) + + filename = os.path.join(testdir, "tabula/12s0324.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + + assert len(tables) == 2 + assert df1.equals(tables[0].df) + assert df2.equals(tables[1].df) + + +def test_hybrid_table_regions(): + df = pd.DataFrame(data_stream_table_areas) + + filename = os.path.join(testdir, "tabula/us-007.pdf") + tables = camelot.read_pdf( + filename, flavor="hybrid", table_regions=["320,460,573,335"] + ) + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_table_areas(): + df = pd.DataFrame(data_stream_table_areas) + + filename = os.path.join(testdir, "tabula/us-007.pdf") + tables = camelot.read_pdf( + filename, flavor="hybrid", table_areas=["320,500,573,335"] + ) + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_columns(): + df = pd.DataFrame(data_stream_columns) + + filename = os.path.join(testdir, "mexican_towns.pdf") + tables = camelot.read_pdf( + filename, flavor="hybrid", columns=["67,180,230,425,475"], row_tol=10 + ) + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_split_text(): + df = pd.DataFrame(data_stream_split_text) + + filename = os.path.join(testdir, "tabula/m27.pdf") + tables = camelot.read_pdf( + filename, + flavor="hybrid", + columns=["72,95,209,327,442,529,566,606,683"], + split_text=True, + ) + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_flag_size(): + df = pd.DataFrame(data_stream_flag_size) + + filename = os.path.join(testdir, "superscript.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid", flag_size=True) + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_strip_text(): + df = pd.DataFrame(data_stream_strip_text) + + filename = os.path.join(testdir, "detect_vertical_false.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid", strip_text=" ,\n") + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_edge_tol(): + df = pd.DataFrame(data_stream_edge_tol) + + filename = os.path.join(testdir, "edge_tol.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid", edge_tol=500) + assert_frame_equal(df, tables[0].df) + + +def test_hybrid_layout_kwargs(): + df = pd.DataFrame(data_stream_layout_kwargs) + + filename = os.path.join(testdir, "detect_vertical_false.pdf") + tables = camelot.read_pdf( + filename, flavor="hybrid", layout_kwargs={"detect_vertical": False} + ) + assert_frame_equal(df, tables[0].df) + + def test_lattice(): df = pd.DataFrame(data_lattice) diff --git a/tests/test_plotting.py b/tests/test_plotting.py index 277eefc..63f29f3 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -55,6 +55,16 @@ def test_stream_grid_plot(): return camelot.plot(tables[0], kind='grid') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") +@pytest.mark.mpl_image_compare( + baseline_dir="files/baseline_plots", remove_text=True) +def test_hybrid_grid_plot(): + filename = os.path.join(testdir, "foo.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + return camelot.plot(tables[0], kind='grid') + + @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) def test_lattice_contour_plot(): @@ -73,6 +83,16 @@ def test_stream_contour_plot(): return camelot.plot(tables[0], kind='contour') +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") +@pytest.mark.mpl_image_compare( + baseline_dir="files/baseline_plots", remove_text=True) +def test_hybrid_contour_plot(): + filename = os.path.join(testdir, "tabula/12s0324.pdf") + tables = camelot.read_pdf(filename, flavor='hybrid') + return camelot.plot(tables[0], kind='contour') + + @pytest.mark.skipif(LEGACY_MATPLOTLIB, reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( @@ -97,7 +117,17 @@ def test_joint_plot(): reason="depends on a recent version of MatPlotLib") @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True) -def test_textedge_plot(): +def test_stream_textedge_plot(): filename = os.path.join(testdir, "tabula/12s0324.pdf") tables = camelot.read_pdf(filename, flavor='stream') return camelot.plot(tables[0], kind='textedge') + + +@pytest.mark.skipif(LEGACY_MATPLOTLIB, + reason="depends on a recent version of MatPlotLib") +@pytest.mark.mpl_image_compare( + baseline_dir="files/baseline_plots", remove_text=True) +def test_hybrid_textedge_plot(): + filename = os.path.join(testdir, "tabula/12s0324.pdf") + tables = camelot.read_pdf(filename, flavor='hybrid') + return camelot.plot(tables[0], kind='textedge') From e59b3f5efbab1d488bb4586259d80d39ca06ccd6 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 16:38:25 -0700 Subject: [PATCH 10/60] Fix unit test --- tests/test_errors.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_errors.py b/tests/test_errors.py index 0a11c55..69b4a2b 100755 --- a/tests/test_errors.py +++ b/tests/test_errors.py @@ -15,7 +15,7 @@ filename = os.path.join(testdir, 'foo.pdf') def test_unknown_flavor(): message = ("Unknown flavor specified." - " Use either 'lattice' or 'stream'") + " Use either 'lattice', 'stream', or 'hybrid'") with pytest.raises(NotImplementedError, match=message): tables = camelot.read_pdf(filename, flavor='chocolate') From 89fe090ec45d75047dcfb0aeb20901344d7b752c Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 16:40:14 -0700 Subject: [PATCH 11/60] Linting --- camelot/handlers.py | 4 +--- camelot/parsers/hybrid.py | 2 +- camelot/parsers/lattice.py | 2 +- camelot/parsers/stream.py | 2 +- 4 files changed, 4 insertions(+), 6 deletions(-) diff --git a/camelot/handlers.py b/camelot/handlers.py index 8439c69..5896497 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -208,8 +208,6 @@ class PDFHandler(): if not suppress_stdout: logger.info( "Processing {rootname}".format(rootname=rootname)) - t = parser.extract_tables( - source_file - ) + t = parser.extract_tables() tables.extend(t) return TableList(sorted(tables)) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 9d12350..f240ce4 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -420,7 +420,7 @@ class Hybrid(BaseParser): return table - def extract_tables(self, filename): + def extract_tables(self): if self._document_has_no_text(): return [] diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index b7cb02e..2e62846 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -303,7 +303,7 @@ class Lattice(BaseParser): return table - def extract_tables(self, filename): + def extract_tables(self): if self._document_has_no_text(): return [] diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 087f5ce..536195e 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -418,7 +418,7 @@ class Stream(BaseParser): return table - def extract_tables(self, filename): + def extract_tables(self): if self._document_has_no_text(): return [] From 69c7728867d94136341d1b9b532506c8a4d3a533 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 17:05:33 -0700 Subject: [PATCH 12/60] More linting --- camelot/plotting.py | 18 ++++++++++++------ tests/test_errors.py | 20 ++++++++++---------- 2 files changed, 22 insertions(+), 16 deletions(-) diff --git a/camelot/plotting.py b/camelot/plotting.py index b290af5..b9d0091 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -45,7 +45,8 @@ class PlotMethods(object): plot_method = getattr(self, kind) return plot_method(table) - def text(self, table): + @staticmethod + def text(table): """Generates a plot for all text elements present on the PDF page. @@ -78,7 +79,8 @@ class PlotMethods(object): ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig - def grid(self, table): + @staticmethod + def grid(table): """Generates a plot for the detected table grids on the PDF page. @@ -108,7 +110,8 @@ class PlotMethods(object): ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig - def contour(self, table): + @staticmethod + def contour(table): """Generates a plot for all table boundaries present on the PDF page. @@ -161,7 +164,8 @@ class PlotMethods(object): ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig - def textedge(self, table): + @staticmethod + def textedge(table): """Generates a plot for relevant textedges. Parameters @@ -196,7 +200,8 @@ class PlotMethods(object): ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig - def joint(self, table): + @staticmethod + def joint(table): """Generates a plot for all line intersections present on the PDF page. @@ -223,7 +228,8 @@ class PlotMethods(object): ax.imshow(img) return fig - def line(self, table): + @staticmethod + def line(table): """Generates a plot for all line segments present on the PDF page. diff --git a/tests/test_errors.py b/tests/test_errors.py index 69b4a2b..fd8b402 100755 --- a/tests/test_errors.py +++ b/tests/test_errors.py @@ -17,27 +17,27 @@ def test_unknown_flavor(): message = ("Unknown flavor specified." " Use either 'lattice', 'stream', or 'hybrid'") with pytest.raises(NotImplementedError, match=message): - tables = camelot.read_pdf(filename, flavor='chocolate') + camelot.read_pdf(filename, flavor='chocolate') def test_input_kwargs(): message = "columns cannot be used with flavor='lattice'" with pytest.raises(ValueError, match=message): - tables = camelot.read_pdf(filename, columns=['10,20,30,40']) + camelot.read_pdf(filename, columns=['10,20,30,40']) def test_unsupported_format(): message = 'File format not supported' filename = os.path.join(testdir, 'foo.csv') with pytest.raises(NotImplementedError, match=message): - tables = camelot.read_pdf(filename) + camelot.read_pdf(filename) def test_stream_equal_length(): message = ("Length of table_areas and columns" " should be equal") with pytest.raises(ValueError, match=message): - tables = camelot.read_pdf(filename, flavor='stream', + camelot.read_pdf(filename, flavor='stream', table_areas=['10,20,30,40'], columns=['10,20,30,40', '10,20,30,40']) @@ -46,7 +46,7 @@ def test_image_warning(): with warnings.catch_warnings(): warnings.simplefilter('error') with pytest.raises(UserWarning) as e: - tables = camelot.read_pdf(filename) + camelot.read_pdf(filename) assert str(e.value) == 'page-1 is image-based, camelot only works on text-based pages.' @@ -55,7 +55,7 @@ def test_no_tables_found(): with warnings.catch_warnings(): warnings.simplefilter('error') with pytest.raises(UserWarning) as e: - tables = camelot.read_pdf(filename) + camelot.read_pdf(filename) assert str(e.value) == 'No tables found on page-1' @@ -65,7 +65,7 @@ def test_no_tables_found_logs_suppressed(): # the test should fail if any warning is thrown warnings.simplefilter('error') try: - tables = camelot.read_pdf(filename, suppress_stdout=True) + camelot.read_pdf(filename, suppress_stdout=True) except Warning as e: warning_text = str(e) pytest.fail('Unexpected warning: {}'.format(warning_text)) @@ -77,7 +77,7 @@ def test_no_tables_found_warnings_suppressed(): # the test should fail if any warning is thrown warnings.simplefilter('error') try: - tables = camelot.read_pdf(filename, suppress_stdout=True) + camelot.read_pdf(filename, suppress_stdout=True) except Warning as e: warning_text = str(e) pytest.fail('Unexpected warning: {}'.format(warning_text)) @@ -87,11 +87,11 @@ def test_no_password(): filename = os.path.join(testdir, 'health_protected.pdf') message = 'file has not been decrypted' with pytest.raises(Exception, match=message): - tables = camelot.read_pdf(filename) + camelot.read_pdf(filename) def test_bad_password(): filename = os.path.join(testdir, 'health_protected.pdf') message = 'file has not been decrypted' with pytest.raises(Exception, match=message): - tables = camelot.read_pdf(filename, password='wrongpass') + camelot.read_pdf(filename, password='wrongpass') From dec8f2d0ebd483c62c583fe9876e5264894c46f5 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 17:17:25 -0700 Subject: [PATCH 13/60] Try to silence bandit messages on valid asserts --- .bandit | 3 --- .deepsource.toml | 5 +++++ 2 files changed, 5 insertions(+), 3 deletions(-) delete mode 100644 .bandit diff --git a/.bandit b/.bandit deleted file mode 100644 index c936150..0000000 --- a/.bandit +++ /dev/null @@ -1,3 +0,0 @@ -[bandit] -# Ignore concerns about asserts, necessary for unit test code -skips: B101,B102 diff --git a/.deepsource.toml b/.deepsource.toml index e8edbba..c98c682 100644 --- a/.deepsource.toml +++ b/.deepsource.toml @@ -1,5 +1,10 @@ version = 1 +test_patterns = [ + "tests/**", + "test_*.py" +] + exclude_patterns = [ "camelot/ext/**" ] From d0bd1cfd1f4496c7828d786c3719cd4d5abd8de2 Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 17:35:19 -0700 Subject: [PATCH 14/60] More linting --- tests/test_errors.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/tests/test_errors.py b/tests/test_errors.py index fd8b402..321cd86 100755 --- a/tests/test_errors.py +++ b/tests/test_errors.py @@ -37,8 +37,12 @@ def test_stream_equal_length(): message = ("Length of table_areas and columns" " should be equal") with pytest.raises(ValueError, match=message): - camelot.read_pdf(filename, flavor='stream', - table_areas=['10,20,30,40'], columns=['10,20,30,40', '10,20,30,40']) + camelot.read_pdf( + filename, + flavor='stream', + table_areas=['10,20,30,40'], + columns=['10,20,30,40', '10,20,30,40'] + ) def test_image_warning(): @@ -47,7 +51,8 @@ def test_image_warning(): warnings.simplefilter('error') with pytest.raises(UserWarning) as e: camelot.read_pdf(filename) - assert str(e.value) == 'page-1 is image-based, camelot only works on text-based pages.' + assert str(e.value) == 'page-1 is image-based, camelot only works ' \ + 'on text-based pages.' def test_no_tables_found(): From 57c5957bad80391752ec28a4d5da15f7ce9538aa Mon Sep 17 00:00:00 2001 From: Frh Date: Sun, 19 Apr 2020 18:26:38 -0700 Subject: [PATCH 15/60] Interim check-in, test failing and lots of todos --- camelot/parsers/hybrid.py | 745 +++++++++++++++++++++++++++++++++++--- tests/data.py | 4 + tests/test_common.py | 2 +- 3 files changed, 691 insertions(+), 60 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index f240ce4..0efc053 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -1,15 +1,620 @@ - - # -*- coding: utf-8 -*- - from __future__ import division -import warnings import numpy as np +import warnings + from .base import BaseParser -from ..core import TextEdges -from ..utils import (text_in_bbox, text_in_bbox_per_axis) +from ..utils import ( + text_in_bbox, + text_in_bbox_per_axis, + bbox_from_text, + distance_tl_to_bbox, + find_columns_coordinates +) + +from matplotlib import patches as patches + +# FRHTODO: Move to utils +# maximum number of columns over which a header can spread +MAX_COL_SPREAD_IN_HEADER = 3 + + +def todo_move_me_expand_area_for_header(area, textlines, col_anchors, + average_row_height): + """The core algorithm is based on fairly strict alignment of text. + It works ok for the table body, but might fail on tables' headers + since they tend to be in a different font, alignment (e.g. vertical), + etc. + The section below tries to identify whether what's above the bbox + identified so far has the characteristics of a table header: + Close to the top of the body, with cells that fit within the bounds + identified. + """ + new_area = area + (left, bottom, right, top) = area + zones = [] + + def column_spread(left, right, col_anchors): + """Returns the number of columns (splits on the x-axis) + crossed by an element covering left to right. + """ + indexLeft = 0 + while indexLeft < len(col_anchors) \ + and col_anchors[indexLeft] < left: + indexLeft += 1 + indexRight = indexLeft + while indexRight < len(col_anchors) \ + and col_anchors[indexRight] < right: + indexRight += 1 + + return indexRight - indexLeft + + keep_searching = True + while keep_searching: + keep_searching = False + # a/ first look for the closest text element above the area. + # It will be the anchor for a possible new row. + closest_above = None + all_above = [] + for te in textlines: + # higher than the table, directly within its bounds + if te.y0 > top and te.x0 > left and te.x1 < right: + all_above.append(te) + if closest_above is None or closest_above.y0 > te.y0: + closest_above = te + + if closest_above and \ + closest_above.y0 < top + average_row_height: + # b/ We have a candidate cell that is within the correct + # vertical band, and directly above the table. Starting from + # this anchor, we list all the textlines within the same row. + tls_in_new_row = [] + top = closest_above.y1 + pushed_up = True + while pushed_up: + pushed_up = False + # Iterate and extract elements that fit in the row + # from our list + for i in range(len(all_above) - 1, -1, -1): + te = all_above[i] + if te.y0 < top: + # The bottom of this element is within our row + # so we add it. + tls_in_new_row.append(te) + all_above.pop(i) + if te.y1 > top: + # If the top of this element raises our row's + # band, we'll need to keep on searching for + # overlapping items + top = te.y1 + pushed_up = True + + # Get the x-ranges for all the textlines, and merge the + # x-ranges that overlap + zones = zones + \ + list(map(lambda tl: [tl.x0, tl.x1], tls_in_new_row)) + zones.sort(key=lambda z: z[0]) # Sort by left coordinate + # Starting from the right, if two zones overlap horizontally, + # merge them + merged_something = True + while merged_something: + merged_something = False + for i in range(len(zones) - 1, 0, -1): + zone_right = zones[i] + zone_left = zones[i-1] + if zone_left[1] >= zone_right[0]: + zone_left[1] = max(zone_right[1], zone_left[1]) + zones.pop(i) + merged_something = True + + max_spread = max( + list( + map( + lambda zone: column_spread( + zone[0], zone[1], col_anchors), + zones + ) + ) + ) + if max_spread <= MAX_COL_SPREAD_IN_HEADER: + # Combined, the elements we've identified don't cross more + # than the authorized number of columns. + # We're trying to avoid + # 0: + # 1: + # 2: + # if len(zones) > TEXTEDGE_REQUIRED_ELEMENTS: + new_area = (left, bottom, right, top) + + # At this stage we've identified a plausible row (or the + # beginning of one). + keep_searching = True + + return new_area + + +class TextEdge2(object): + """Defines a text edge coordinates relative to a left-bottom + origin. (PDF coordinate space) + + Parameters + ---------- + coord : float + coordinate of the text edge. Depending on the alignment + it could be a vertical or horizontal coordinate. + + Attributes + ---------- + textlines: array + Array of textlines that demonstrate this alignment. + coord: float + The coordinate aligned averaged out across textlines. + + """ + + def __init__(self, coord, textline): + self.coord = coord + self.textlines = [textline] + + def __repr__(self): + text_inside = " | ".join( + map(lambda x: x.get_text(), self.textlines[:2])).replace("\n", "") + return f"" + + def register_aligned_textline(self, textline, coord): + """Updates new textline to this alignment, adapting its average. + """ + # Increase the intersections for this segment, expand it up, + # and adjust the x based on the new value + self.coord = (self.coord * len(self.textlines) + coord) / \ + float(len(self.textlines) + 1) + self.textlines.append(textline) + + +class Alignments(object): + """Represents the number of other textlines aligned with this + one across each edge. + """ + + def __init__(self): + # Vertical alignments + self.left = 0 + self.right = 0 + self.middle = 0 + + # Horizontal alignments + self.bottom = 0 + self.top = 0 + self.center = 0 + + def __getitem__(self, key): + return getattr(self, key) + + def __setitem__(self, key, value): + return setattr(self, key, value) + + def max_v(self): + """Returns the maximum number of alignments along + one of the vertical axis (left/right/middle). + """ + return max(self.left, self.right, self.middle) + + def max_h(self): + """Returns the maximum number of alignments along + one of the horizontal axis (bottom/top/center). + """ + return max(self.bottom, self.top, self.center) + + def max_v_edge_name(self): + """Returns the name of the vertical edge that has the + maximum number of alignments. + """ + return max( + ["left", "right", "middle"], + key=lambda edge_name: self[edge_name] + ) + + def max_h_edge_name(self): + """Returns the name of the horizontal edge that has the + maximum number of alignments. + """ + return max( + ["bottom", "top", "center"], + key=lambda edge_name: self[edge_name] + ) + + def alignment_score(self): + """We define the alignment score of a textline as the product of the + number of aligned elements - 1. The -1 is to avoid favoring + singletons on a long line. + """ + return (self.max_v()-1) * (self.max_h()-1) + + +class TextEdges2(object): + """Defines a dict of vertical (top, bottom, middle) and + horizontal (left, right, and middle) text alignments found on + the PDF page. The dict has three keys based on the alignments, + and each key's value is a list of camelot.core.TextEdge objects. + """ + + def __init__(self): + # For each possible alignment, list of tuples coordinate/textlines + self._textedges = { + "left": [], + "right": [], + "middle": [], + "bottom": [], + "top": [], + "center": [] + } + # For each textline, dictionary "edge type" to + # "number of textlines aligned" + self._textlines_alignments = {} + + # Maximum number of distinct aligned elements in rows/cols + self.max_rows = None + self.max_cols = None + + @staticmethod + def get_textline_coords(textline): + """Calculate the coordinates of each alignment + for a given textline. + """ + return { + "left": textline.x0, + "right": textline.x1, + "middle": (textline.x0 + textline.x1) / 2.0, + "bottom": textline.y0, + "top": textline.y1, + "center": (textline.y0 + textline.y1) / 2.0, + } + + @staticmethod + def _get_index_closest_point(coord, edge_array): + """Returns the index of the closest point + """ + n = len(edge_array) + if n == 0: + return None + if n == 1: + return 0 + + left = 0 + right = n - 1 + mid = 0 + + if coord >= edge_array[n - 1].coord: + return n - 1 + if coord <= edge_array[0].coord: + return 0 + + while left < right: + mid = (left + right) // 2 # find the mid + if coord < edge_array[mid].coord: + right = mid + elif coord > edge_array[mid].coord: + left = mid + 1 + else: + return mid + + if edge_array[mid].coord > coord: + if mid > 0 and ( + coord - edge_array[mid-1].coord < + edge_array[mid].coord - coord): + return mid-1 + elif edge_array[mid].coord < coord: + if mid < n - 1 and ( + edge_array[mid+1].coord - coord < + coord - edge_array[mid].coord): + return mid+1 + return mid + + # def insert(self, index, textline, align): + # """Adds a new text edge to the current dict. + # """ + # x = self.get_x_coord(textline, align) + # y0 = textline.y0 + # y1 = textline.y1 + # te = TextEdge(x, y0, y1, align=align) + # self._textedges[align].insert(index, te) + + def _register_textline(self, textline): + """Updates an existing text edge in the current dict. + """ + coords = TextEdges2.get_textline_coords(textline) + for alignment in self._textedges: + edge_array = self._textedges[alignment] + coord = coords[alignment] + + # Find the index of the closest existing element (or 0 if none) + idx_closest = self._get_index_closest_point(coord, edge_array) + + # Check if the edges before/after are close enough + # that it can be considered aligned + idx_insert = None + if idx_closest is None: + idx_insert = 0 + elif np.isclose(edge_array[idx_closest].coord, coord, atol=0.5): + closest_edge = edge_array[idx_closest] + closest_edge.register_aligned_textline(textline, coord) + elif edge_array[idx_closest].coord < coord: + idx_insert = idx_closest + 1 + else: + idx_insert = idx_closest + if idx_insert is not None: + new_edge = TextEdge2(coord, textline) + edge_array.insert(idx_insert, new_edge) + + def _register_all_text_lines(self, textlines): + """Add all textlines to our edge repository to + identify alignments. + """ + # Identify all the edge alignments + for tl in textlines: + if len(tl.get_text().strip()) > 0: + self._register_textline(tl) + + def _compute_alignment_counts(self): + """Build a dictionary textline -> alignment object. + """ + # + for edge_name, textedges in self._textedges.items(): + for textedge in textedges: + for textline in textedge.textlines: + textline_alignments = self._textlines_alignments.get( + textline, None) + if textline_alignments is None: + alignments = Alignments() + alignments[edge_name] = len(textedge.textlines) + self._textlines_alignments[textline] = alignments + else: + textline_alignments[edge_name] = len( + textedge.textlines) + + # Finally calculate the overall maximum number of rows/cols + self.max_rows = max( + map( + lambda alignments: alignments.max_h(), + self._textlines_alignments.values() + ), + default=0 + ) + self.max_cols = max( + map( + lambda alignments: alignments.max_v(), + self._textlines_alignments.values() + ), + default=0 + ) + + def _calculate_gaps_thresholds(self, percentile=75): + """Identify reasonable gaps between lines and columns based + on gaps observed across alignments. + This can be used to reject cells as too far away from + the core table. + """ + h_gaps, v_gaps = [], [] + for edge_name in self._textedges: + edge_array = self._textedges[edge_name] + gaps = [] + vertical = edge_name in ["left", "right", "middle"] + sort_function = (lambda tl: tl.y0) \ + if vertical \ + else (lambda tl: tl.x0) + for alignments in edge_array: + tls = sorted( + alignments.textlines, + key=sort_function, + reverse=True + ) + for i in range(1, len(tls)): + # If the lines are vertically aligned (stacked up), we + # record the vertical gap between them + if vertical: + gap = tls[i-1].y1 - tls[i].y0 + else: + gap = tls[i-1].x1 - tls[i].x0 + gaps.append(gap) + if gaps: + if vertical: + v_gaps.append(np.percentile(gaps, percentile)) + else: + h_gaps.append(np.percentile(gaps, percentile)) + direction_str = 'vertical' if vertical else 'horizontal' + rounded_gaps = list(map(lambda x: round(x, 2), gaps)) + print( + f"{direction_str} gaps found " + f"for {edge_name}: " + f"{rounded_gaps} " + f"with {percentile}th percentile " + f"{np.percentile(gaps, percentile)}" + ) + return max(h_gaps, default=None), max(v_gaps, default=None) + + def _remove_unconnected_edges(self): + """Weed out elements which are only connected to others vertically + or horizontally. There needs to be connections across both + dimensions. + """ + singleton_textlines = [] + removed_singletons = True + while removed_singletons: + removed_singletons = False + for edge_type in self._textedges: + # For each alignment edge, remove items if they are singletons + # either horizontally or vertically + for te in self._textedges[edge_type]: + for i in range(len(te.textlines) - 1, -1, -1): + tl = te.textlines[i] + alignments = self._textlines_alignments[tl] + if alignments.max_h() <= 1 or alignments.max_v() <= 1: + singleton_textlines.append(tl) + del te.textlines[i] + removed_singletons = True + self._textlines_alignments = {} + self._compute_alignment_counts() + + def _build_bbox_candidate(self, debug_info=None): + """ Seed the process with the textline with the highest alignment + score, then expand the bbox with textlines within threshold. + + Parameters + ---------- + debug_info : array + Optional parameter array, in which to store extra information + to help later visualization of the table creation. + """ + if self.max_rows <= 1 or self.max_cols <= 1: + return None + tls_search_space = list(self._textlines_alignments.keys()) + + def get_best_textline(textlines): + # Find the textline with the highest alignment score + return max( + textlines, + key=lambda textline: + self._textlines_alignments[textline].alignment_score(), + default=None + ) + + # Calculate the 75th percentile of the horizontal/vertical + # gaps between textlines. Use this as a reference for a threshold + # to not exceed while looking for table boundaries. + gaps_hv = self._calculate_gaps_thresholds(75) + if (gaps_hv[0] is None or gaps_hv[1] is None): + return None + max_h_gap, max_v_gap = gaps_hv[0] * 3, gaps_hv[1] * 3 + + if debug_info is not None: + # Store debug info + debug_info_search = { + "max_h_gap": max_h_gap, + "max_v_gap": max_v_gap, + "iterations": [] + } + debug_info.append(debug_info_search) + else: + debug_info_search = None + + MINIMUM_TEXTLINES_IN_TABLE = 6 + tl_most_aligned = get_best_textline(tls_search_space) + bbox = (tl_most_aligned.x0, tl_most_aligned.y0, + tl_most_aligned.x1, tl_most_aligned.y1) + tls_search_space.remove(tl_most_aligned) + tls_in_bbox = [tl_most_aligned] + last_bbox = None + while last_bbox != bbox: + if debug_info_search is not None: + # Store debug info + debug_info_search["iterations"].append(bbox) + + last_bbox = bbox + # Go through all remaining textlines, expand our bbox + # if a textline is within our proximity tolerance + for i in range(len(tls_search_space) - 1, -1, -1): + tl = tls_search_space[i] + h_distance, v_distance = distance_tl_to_bbox(tl, bbox) + + # Move textline to our bbox and expand the bbox accordingly + # if the textline is close. + if h_distance < max_h_gap and v_distance < max_v_gap: + tls_in_bbox.append(tl) + bbox = ( + min(bbox[0], tl.x0), + min(bbox[1], tl.y0), + max(bbox[2], tl.x1), + max(bbox[3], tl.y1) + ) + del tls_search_space[i] + if len(tls_in_bbox) > MINIMUM_TEXTLINES_IN_TABLE: + return bbox + else: + print(f"Only {len(tls_in_bbox)}, that's not enough.") + return None + + def generate(self, textlines): + """Generate the text edge dictionaries based on the + input textlines. + """ + self._register_all_text_lines(textlines) + self._compute_alignment_counts() + + def plotFRHAlignments(self, table, plt): + """Displays a visualization of the alignments as currently computed. + """ + fig = plt.figure() + ax = fig.add_subplot(111, aspect="equal") + img = table.get_pdf_image() + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) + + tls_by_alignment_score = sorted( + self._textlines_alignments.keys(), + key=lambda textline: + self._textlines_alignments[textline].alignment_score(), + reverse=True + ) + + for tl, alignments in self._textlines_alignments.items(): + color = "red" + if tl == tls_by_alignment_score[0]: + color = "blue" + ax.add_patch( + patches.Rectangle( + (tl.x0, tl.y0), + tl.x1 - tl.x0, tl.y1 - tl.y0, + color=color, + alpha=0.5 + ) + ) + ax.text( + tl.x0 - 5, + tl.y0 - 5, + f"{alignments.max_h()}x{alignments.max_v()}", + fontsize=5, + color="black" + ) + + def plotFRHTableSearch(self, plot, debug_info): + if debug_info is None: + return + for box_id, bbox_search in enumerate(debug_info["bboxes_searches"]): + max_h_gap = bbox_search["max_h_gap"] + max_v_gap = bbox_search["max_v_gap"] + iterations = bbox_search["iterations"] + for iteration, bbox in enumerate(iterations): + final = iteration == len(iterations) - 1 + plot.add_patch( + patches.Rectangle( + (bbox[0], bbox[1]), + bbox[2] - bbox[0], bbox[3] - bbox[1], + color="red", + linewidth=5 if final else 2, + fill=False + ) + ) + plot.text( + bbox[0], + bbox[1], + f"box #{box_id+1} / iter #{iteration}", + fontsize=12, + color="black", + verticalalignment="top", + bbox=dict(facecolor="orange", alpha=0.5) + ) + + plot.add_patch( + patches.Rectangle( + (bbox[0]-max_h_gap, bbox[1]-max_v_gap), + bbox[2] - bbox[0] + 2 * max_h_gap, + bbox[3] - bbox[1] + 2 * max_v_gap, + color="orange", + fill=False + ) + ) class Hybrid(BaseParser): @@ -78,6 +683,7 @@ class Hybrid(BaseParser): self.row_tol = row_tol self.column_tol = column_tol + # FRHTODO: Check if needed, refactor with Stream @staticmethod def _text_bbox(t_bbox): """Returns bounding box for the text present on a page. @@ -101,6 +707,7 @@ class Hybrid(BaseParser): text_bbox = (xmin, ymin, xmax, ymax) return text_bbox + # FRHTODO: Check if needed, refactor with Stream @staticmethod def _group_rows(text, row_tol=2): """Groups PDFMiner text objects into rows vertically @@ -139,6 +746,7 @@ class Hybrid(BaseParser): rows.append(sorted(temp, key=lambda t: t.x0)) return rows + # FRHTODO: Check if needed, refactor with Stream @staticmethod def _merge_columns(l, column_tol=0): """Merges column boundaries horizontally if they overlap @@ -184,6 +792,7 @@ class Hybrid(BaseParser): merged.append(higher) return merged + # FRHTODO: Check if needed, refactor with Stream @staticmethod def _join_rows(rows_grouped, text_y_max, text_y_min): """Makes row coordinates continuous. For the row to "touch" @@ -217,6 +826,7 @@ class Hybrid(BaseParser): row_boundaries[-1][1] = text_y_min return row_boundaries + # FRHTODO: Check if needed, refactor with Stream @staticmethod def _add_columns(cols, text, row_tol): """Adds columns to existing list by taking into account @@ -247,6 +857,7 @@ class Hybrid(BaseParser): cols.extend(Hybrid._merge_columns(sorted(new_cols))) return cols + # FRHTODO: Check if needed, refactor with Stream @staticmethod def _join_columns(cols, text_x_min, text_x_max): """Makes column coordinates continuous. @@ -271,66 +882,81 @@ class Hybrid(BaseParser): cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] return cols + # FRHTODO: Check is needed, refactor with Stream def _validate_columns(self): if self.table_areas is not None and self.columns is not None: if len(self.table_areas) != len(self.columns): raise ValueError("Length of table_areas and columns" " should be equal") - def _nurminen_table_detection(self, textlines): - """A general implementation of the table detection algorithm - described by Anssi Nurminen's master's thesis. - Link: https://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3 # noqa - - Assumes that tables are situated relatively far apart - vertically. - """ - # TODO: add support for arabic text #141 - # sort textlines in reading order - textlines.sort(key=lambda x: (-x.y0, x.x0)) - textedges = TextEdges(edge_tol=self.edge_tol) - # generate left, middle and right textedges - textedges.generate(textlines) - # select relevant edges - relevant_textedges = textedges.get_relevant() - self.textedges.extend(relevant_textedges) - # guess table areas using textlines and relevant edges - table_bbox = textedges.get_table_areas(textlines, relevant_textedges) - # treat whole page as table area if no table areas found - if not table_bbox: - table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None} - - return table_bbox - - def _generate_table_bbox(self): - self.textedges = [] - if self.table_areas is None: - hor_text = self.horizontal_text - if self.table_regions is not None: - # filter horizontal text - hor_text = [] - for region in self.table_regions: - x1, y1, x2, y2 = region.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) - region_text = text_in_bbox( - (x1, y2, x2, y1), self.horizontal_text) - hor_text.extend(region_text) - # find tables based on nurminen's detection algorithm - table_bbox = self._nurminen_table_detection(hor_text) + # FRHTODO: get debug_info to work again + def _generate_table_bbox(self, debug_info=None): + textlines = self.horizontal_text + self.vertical_text + textlines_processed = {} + self.table_bbox = {} + if debug_info is not None: + debug_info_bbox_searches = [] + debug_info["bboxes_searches"] = debug_info_bbox_searches else: - table_bbox = {} - for area in self.table_areas: - x1, y1, x2, y2 = area.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) - table_bbox[(x1, y2, x2, y1)] = None - self.table_bbox = table_bbox + debug_info_bbox_searches = None + while True: + self.textedges = TextEdges2() + self.textedges.generate(textlines) + self.textedges._remove_unconnected_edges() + bbox = self.textedges._build_bbox_candidate( + debug_info_bbox_searches + ) + if bbox is None: + break + + # Get all the textlines that are at least 50% in the box + tls_in_bbox = text_in_bbox(bbox, textlines) + + # and expand the text box to fully contain them + bbox = bbox_from_text(tls_in_bbox) + + # FRH: do we need to repeat this? + # tls_in_bbox = text_in_bbox(bbox, textlines) + cols_anchors = find_columns_coordinates(tls_in_bbox) + + # Apply a heuristic to salvage headers which formatting might be + # off compared to the rest of the table. + + # Calculate the average height of each textline + # FRHTODO: reuse the gap threshold from earlier? + alignments = self.textedges._textlines_alignments.keys() + average_tl_height = sum( + map( + lambda tl: tl.y1 - tl.y0, + alignments + )) / len(alignments) + + expanded_bbox = todo_move_me_expand_area_for_header( + bbox, + textlines, + cols_anchors, + average_tl_height + ) + + if debug_info is not None: + debug_info["col_searches"].append({ + "core_bbox": bbox, + "cols_anchors": cols_anchors, + "expanded_bbox": expanded_bbox + }) + + self.table_bbox[expanded_bbox] = None + + # Remember what textlines we processed, and repeat + for tl in tls_in_bbox: + textlines_processed[tl] = None + textlines = list(filter( + lambda tl: tl not in textlines_processed, + textlines + )) + + # FRHTODO: Check is needed, refactor with Stream def _generate_columns_and_rows(self, table_idx, tk): # select elements which lie within table_bbox self.t_bbox = text_in_bbox_per_axis( @@ -408,6 +1034,7 @@ class Hybrid(BaseParser): return cols, rows + # FRHTODO: Check is needed, refactor with Stream def _generate_table(self, table_idx, cols, rows, **kwargs): table = self._initialize_new_table(table_idx, cols, rows) table = table.set_all_edges() @@ -420,7 +1047,7 @@ class Hybrid(BaseParser): return table - def extract_tables(self): + def extract_tables(self, debug_info=None): if self._document_has_no_text(): return [] diff --git a/tests/data.py b/tests/data.py index 1017160..5b66d33 100755 --- a/tests/data.py +++ b/tests/data.py @@ -823,6 +823,10 @@ data_stream_table_rotated = [ ], ] +# The streaming algorithm incorrectly includes a header in the result. +# Trimming the table for the test of hybrid, which doesn't include it. +data_hybrid_table_rotated = data_stream_table_rotated[1:] + data_stream_two_tables_1 = [ [ "Program. Represents arrests reported (not charged) by 12,910 " diff --git a/tests/test_common.py b/tests/test_common.py index fe3e368..62e9461 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -157,7 +157,7 @@ def test_hybrid(): def test_hybrid_table_rotated(): - df = pd.DataFrame(data_stream_table_rotated) + df = pd.DataFrame(data_hybrid_table_rotated) filename = os.path.join(testdir, "clockwise_table_2.pdf") tables = camelot.read_pdf(filename, flavor="hybrid") From 175655d31b799852e0fb097fb2813cb3a1efd2d9 Mon Sep 17 00:00:00 2001 From: Frh Date: Mon, 20 Apr 2020 11:20:59 -0700 Subject: [PATCH 16/60] Add support for region/area for hybrid --- camelot/parsers/base.py | 7 ++- camelot/parsers/hybrid.py | 121 ++++++++++++++++++++++++++++++++++---- camelot/parsers/stream.py | 21 ++----- camelot/utils.py | 28 +++++++++ tests/data.py | 8 +++ tests/test_common.py | 8 ++- 6 files changed, 164 insertions(+), 29 deletions(-) diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 921a118..7aa35ad 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -23,6 +23,7 @@ class BaseParser(object): strip_text="", shift_text=None, flag_size=False, + debug=False ): self.id = parser_id self.table_regions = table_regions @@ -39,7 +40,7 @@ class BaseParser(object): self.t_bbox = None # For plotting details of parsing algorithms - self.debug_info = {} + self.debug_info = {} if debug else None def prepare_page_parse(self, filename, layout, dimensions, page_idx, layout_kwargs): @@ -60,6 +61,10 @@ class BaseParser(object): self.pdf_width, self.pdf_height = self.dimensions self.rootname, __ = os.path.splitext(self.filename) + if self.debug_info is not None: + self.debug_info["table_regions"] = self.table_regions + self.debug_info["table_areas"] = self.table_areas + def _document_has_no_text(self): if not self.horizontal_text: rootname = os.path.basename(self.rootname) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 0efc053..3964624 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -7,6 +7,7 @@ import warnings from .base import BaseParser from ..utils import ( + bbox_from_str, text_in_bbox, text_in_bbox_per_axis, bbox_from_text, @@ -21,6 +22,23 @@ from matplotlib import patches as patches MAX_COL_SPREAD_IN_HEADER = 3 +def plot_annotated_bbox(plot, bbox, text, rect_color): + plot.add_patch( + patches.Rectangle( + (bbox[0], bbox[1]), + bbox[2] - bbox[0], bbox[3] - bbox[1], + color="purple", linewidth=3, + fill=False + ) + ) + plot.text( + bbox[0], bbox[1], + text, + fontsize=12, color="black", verticalalignment="top", + bbox=dict(facecolor="purple", alpha=0.5) + ) + + def todo_move_me_expand_area_for_header(area, textlines, col_anchors, average_row_height): """The core algorithm is based on fairly strict alignment of text. @@ -273,6 +291,7 @@ class TextEdges2(object): "center": (textline.y0 + textline.y1) / 2.0, } + # FRHTODO: Move to utils and use generic name @staticmethod def _get_index_closest_point(coord, edge_array): """Returns the index of the closest point @@ -481,12 +500,63 @@ class TextEdges2(object): default=None ) + # First, determine the textline that has the most combined alignments + # across horizontal and vertical axis. + # It will serve both as a starting point for the table boundary search, + # and as a way to estimate the average spacing between rows/cols. + most_aligned_tl = get_best_textline(tls_search_space) + most_aligned_coords = TextEdges2.get_textline_coords(most_aligned_tl) + + # Retrieve the list of textlines it's aligned with, across both axis + best_alignment = self._textlines_alignments[most_aligned_tl] + ref_h_edge_name = best_alignment.max_h_edge_name() + ref_v_edge_name = best_alignment.max_v_edge_name() + best_h_textedges = self._textedges[ref_h_edge_name] + best_v_textedges = self._textedges[ref_v_edge_name] + h_coord = most_aligned_coords[ref_h_edge_name] + v_coord = most_aligned_coords[ref_v_edge_name] + h_textlines = sorted( + best_h_textedges[ + TextEdges2._get_index_closest_point( + h_coord, + best_h_textedges + ) + ].textlines, + key=lambda tl: tl.x0, + reverse=True + ) + v_textlines = sorted( + best_v_textedges[ + TextEdges2._get_index_closest_point( + v_coord, + best_v_textedges + ) + ].textlines, + key=lambda tl: tl.y0, + reverse=True + ) + + h_gaps, v_gaps = [], [] + for i in range(1, len(v_textlines)): + v_gaps.append(v_textlines[i-1].y0 - v_textlines[i].y0) + for i in range(1, len(h_textlines)): + h_gaps.append(h_textlines[i-1].x0 - h_textlines[i].x0) + + if (not h_gaps or not v_gaps): + return None + percentile = 75 + gaps_hv = ( + np.percentile(h_gaps, percentile), + np.percentile(v_gaps, percentile) + ) + # Calculate the 75th percentile of the horizontal/vertical # gaps between textlines. Use this as a reference for a threshold # to not exceed while looking for table boundaries. - gaps_hv = self._calculate_gaps_thresholds(75) - if (gaps_hv[0] is None or gaps_hv[1] is None): - return None + # FRHTODO: Clean this up + # gaps_hv = self._calculate_gaps_thresholds(75) + # if (gaps_hv[0] is None or gaps_hv[1] is None): + # return None max_h_gap, max_v_gap = gaps_hv[0] * 3, gaps_hv[1] * 3 if debug_info is not None: @@ -501,11 +571,10 @@ class TextEdges2(object): debug_info_search = None MINIMUM_TEXTLINES_IN_TABLE = 6 - tl_most_aligned = get_best_textline(tls_search_space) - bbox = (tl_most_aligned.x0, tl_most_aligned.y0, - tl_most_aligned.x1, tl_most_aligned.y1) - tls_search_space.remove(tl_most_aligned) - tls_in_bbox = [tl_most_aligned] + bbox = (most_aligned_tl.x0, most_aligned_tl.y0, + most_aligned_tl.x1, most_aligned_tl.y1) + tls_search_space.remove(most_aligned_tl) + tls_in_bbox = [most_aligned_tl] last_bbox = None while last_bbox != bbox: if debug_info_search is not None: @@ -581,6 +650,19 @@ class TextEdges2(object): def plotFRHTableSearch(self, plot, debug_info): if debug_info is None: return + # Display a bbox per region + for region_str in debug_info["table_regions"] or []: + plot_annotated_bbox( + plot, bbox_from_str(region_str), + "region: ({region_str})".format(region_str=region_str), + "purple" + ) + # Display a bbox per area + for area_str in debug_info["table_areas"] or []: + plot_annotated_bbox( + plot, bbox_from_str(area_str), + "area: ({area_str})".format(area_str=area_str), "pink" + ) for box_id, bbox_search in enumerate(debug_info["bboxes_searches"]): max_h_gap = bbox_search["max_h_gap"] max_v_gap = bbox_search["max_v_gap"] @@ -891,7 +973,26 @@ class Hybrid(BaseParser): # FRHTODO: get debug_info to work again def _generate_table_bbox(self, debug_info=None): - textlines = self.horizontal_text + self.vertical_text + if self.table_areas is not None: + table_bbox = {} + for area_str in self.table_areas: + table_bbox[bbox_from_str(area_str)] = None + self.table_bbox = table_bbox + return + + all_textlines = self.horizontal_text + self.vertical_text + textlines = [] + if self.table_regions is None: + textlines = all_textlines + else: + # filter text + for region_str in self.table_regions: + region_text = text_in_bbox( + bbox_from_str(region_str), + all_textlines + ) + textlines.extend(region_text) + textlines_processed = {} self.table_bbox = {} if debug_info is not None: @@ -1053,7 +1154,7 @@ class Hybrid(BaseParser): # Identify plausible areas within the doc where tables lie, # populate table_bbox keys with these areas. - self._generate_table_bbox() + self._generate_table_bbox(debug_info) _tables = [] # sort tables based on y-coord diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 536195e..eb3479c 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -7,7 +7,7 @@ import numpy as np from .base import BaseParser from ..core import TextEdges -from ..utils import (text_in_bbox, text_in_bbox_per_axis) +from ..utils import (bbox_from_str, text_in_bbox, text_in_bbox_per_axis) class Stream(BaseParser): @@ -307,26 +307,17 @@ class Stream(BaseParser): if self.table_regions is not None: # filter horizontal text hor_text = [] - for region in self.table_regions: - x1, y1, x2, y2 = region.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) + for region_str in self.table_regions: region_text = text_in_bbox( - (x1, y2, x2, y1), self.horizontal_text) + bbox_from_str(region_str), + self.horizontal_text) hor_text.extend(region_text) # find tables based on nurminen's detection algorithm table_bbox = self._nurminen_table_detection(hor_text) else: table_bbox = {} - for area in self.table_areas: - x1, y1, x2, y2 = area.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) - table_bbox[(x1, y2, x2, y1)] = None + for area_str in self.table_areas: + table_bbox[bbox_from_str(area_str)] = None self.table_bbox = table_bbox def _generate_columns_and_rows(self, table_idx, tk): diff --git a/camelot/utils.py b/camelot/utils.py index 7e789b2..883040b 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -389,6 +389,34 @@ def segments_in_bbox(bbox, v_segments, h_segments): return v_s, h_s +def bbox_from_str(bbox_str): + """Deserialize bbox from string form "x1,y1,x2,y2" to tuple (x1, y1, x2, y2) + + Parameters + ---------- + bbox_str : str + Serialized bbox with comma separated coordinates, "x1,y1,x2,y2". + + Returns + ------- + bbox : tuple + Tuple (x1, y1, x2, y2). + + """ + x1, y1, x2, y2 = bbox_str.split(",") + x1 = float(x1) + y1 = float(y1) + x2 = float(x2) + y2 = float(y2) + # FRHTODO: do things still work if I do x1, y1, x2, y2? + return ( + min(x1, x2), + min(y1, y2), + max(x1, x2), + max(y1, y2) + ) + + def text_in_bbox(bbox, text): """Returns all text objects present inside a bounding box. diff --git a/tests/data.py b/tests/data.py index 5b66d33..a1ec2e7 100755 --- a/tests/data.py +++ b/tests/data.py @@ -1297,6 +1297,10 @@ data_stream_two_tables_1 = [ ], ] +# The streaming algorithm incorrectly includes a header and a footer. +# Trimming the table for the test of hybrid, which doesn't include it. +data_hybrid_two_tables_1 = data_stream_two_tables_1[3:-1] + data_stream_two_tables_2 = [ ["Table 325. Arrests by Race: 2009", "", "", "", "", ""], [ @@ -1605,6 +1609,10 @@ data_stream_two_tables_2 = [ ["1 Except forcible rape and prostitution.", "", "", "", "", ""], ] +# The streaming algorithm incorrectly includes a header and a footer. +# Trimming the table for the test of hybrid, which doesn't include it. +data_hybrid_two_tables_2 = data_stream_two_tables_2[3:-1] + data_stream_table_areas = [ ["", "One Withholding"], ["Payroll Period", "Allowance"], diff --git a/tests/test_common.py b/tests/test_common.py index 62e9461..4b6828f 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -169,8 +169,8 @@ def test_hybrid_table_rotated(): def test_hybrid_two_tables(): - df1 = pd.DataFrame(data_stream_two_tables_1) - df2 = pd.DataFrame(data_stream_two_tables_2) + df1 = pd.DataFrame(data_hybrid_two_tables_1) + df2 = pd.DataFrame(data_hybrid_two_tables_2) filename = os.path.join(testdir, "tabula/12s0324.pdf") tables = camelot.read_pdf(filename, flavor="hybrid") @@ -184,8 +184,10 @@ def test_hybrid_table_regions(): df = pd.DataFrame(data_stream_table_areas) filename = os.path.join(testdir, "tabula/us-007.pdf") + # The "stream" test looks for a region in ["320,460,573,335"], which + # should exclude the header. tables = camelot.read_pdf( - filename, flavor="hybrid", table_regions=["320,460,573,335"] + filename, flavor="hybrid", table_regions=["320,505,573,330"] ) assert_frame_equal(df, tables[0].df) From fb69bd9299603eea2b56c73344652f0a0b5151c5 Mon Sep 17 00:00:00 2001 From: Frh Date: Mon, 20 Apr 2020 16:54:06 -0700 Subject: [PATCH 17/60] Improve hybrid plotting * plot info passed through debug_info * display each text edge --- camelot/handlers.py | 9 +- camelot/io.py | 3 +- camelot/parsers/base.py | 68 +++++++++++---- camelot/parsers/hybrid.py | 81 ++++++++---------- camelot/plotting.py | 25 +++++- .../test_hybrid_contour_plot.png | Bin 15438 -> 16614 bytes .../baseline_plots/test_hybrid_grid_plot.png | Bin 50045 -> 49240 bytes .../test_hybrid_textedge_plot.png | Bin 115318 -> 201982 bytes tests/test_plotting.py | 2 +- 9 files changed, 118 insertions(+), 70 deletions(-) diff --git a/camelot/handlers.py b/camelot/handlers.py index 5896497..bc4091e 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -40,10 +40,13 @@ class PDFHandler(): Example: '1,3,4' or '1,4-end' or 'all'. password : str, optional (default: None) Password for decryption. + debug : bool, optional (default: False) + Whether the parser should store debug information during parsing. """ - def __init__(self, filepath, pages="1", password=None): + def __init__(self, filepath, pages="1", password=None, debug=False): + self.debug = debug if is_url(filepath): filepath = download_url(filepath) self.filepath = filepath @@ -193,7 +196,7 @@ class PDFHandler(): tables = [] parser_obj = PARSERS[flavor] - parser = parser_obj(**kwargs) + parser = parser_obj(debug=self.debug, **kwargs) # Read the layouts/dimensions of each of the pages we need to # parse. This might require creating a temporary .pdf. @@ -204,8 +207,8 @@ class PDFHandler(): ) parser.prepare_page_parse(source_file, layout, dimensions, page_idx, layout_kwargs) - rootname = os.path.basename(parser.rootname) if not suppress_stdout: + rootname = os.path.basename(parser.rootname) logger.info( "Processing {rootname}".format(rootname=rootname)) t = parser.extract_tables() diff --git a/camelot/io.py b/camelot/io.py index 6521663..58ec530 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -13,6 +13,7 @@ def read_pdf( flavor="lattice", suppress_stdout=False, layout_kwargs=None, + debug=False, **kwargs ): """Read PDF and return extracted tables. @@ -110,7 +111,7 @@ def read_pdf( warnings.simplefilter("ignore") validate_input(kwargs, flavor=flavor) - p = PDFHandler(filepath, pages=pages, password=password) + p = PDFHandler(filepath, pages=pages, password=password, debug=debug) kwargs = remove_extra(kwargs, flavor=flavor) tables = p.parse( flavor=flavor, diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 7aa35ad..9e76c7b 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -5,7 +5,9 @@ import warnings from ..utils import ( get_text_objects, - get_table_index + get_table_index, + text_in_bbox, + bbox_from_str, ) from ..core import Table @@ -65,7 +67,39 @@ class BaseParser(object): self.debug_info["table_regions"] = self.table_regions self.debug_info["table_areas"] = self.table_areas + def _apply_regions_filter(self, textlines): + """If regions have been specified, filter textlines to these regions. + + Parameters + ---------- + textlines : list + list of textlines to be filtered + + Returns + ------- + filtered_textlines : list of textlines within the regions specified + + """ + filtered_textlines = [] + if self.table_regions is None: + filtered_textlines.extend(textlines) + else: + for region_str in self.table_regions: + region_text = text_in_bbox( + bbox_from_str(region_str), + textlines + ) + filtered_textlines.extend(region_text) + return filtered_textlines + def _document_has_no_text(self): + """Detects image only documents and warns. + + Returns + ------- + has_no_text : bool + Whether the document doesn't have any text at all. + """ if not self.horizontal_text: rootname = os.path.basename(self.rootname) if self.images: @@ -81,23 +115,23 @@ class BaseParser(object): return True return False - """Initialize new table object, ready to be populated - - Parameters - ---------- - table_idx : int - Index of this table within the pdf page analyzed - cols : list - list of coordinate boundaries tuples (left, right) - rows : list - list of coordinate boundaries tuples (bottom, top) - - Returns - ------- - table : camelot.core.Table - - """ def _initialize_new_table(self, table_idx, cols, rows): + """Initialize new table object, ready to be populated + + Parameters + ---------- + table_idx : int + Index of this table within the pdf page analyzed + cols : list + list of coordinate boundaries tuples (left, right) + rows : list + list of coordinate boundaries tuples (bottom, top) + + Returns + ------- + table : camelot.core.Table + + """ table = Table(cols, rows) table.page = self.page table.order = table_idx + 1 diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 3964624..9877867 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -2,7 +2,7 @@ from __future__ import division import numpy as np - +import copy import warnings from .base import BaseParser @@ -459,7 +459,6 @@ class TextEdges2(object): or horizontally. There needs to be connections across both dimensions. """ - singleton_textlines = [] removed_singletons = True while removed_singletons: removed_singletons = False @@ -471,7 +470,6 @@ class TextEdges2(object): tl = te.textlines[i] alignments = self._textlines_alignments[tl] if alignments.max_h() <= 1 or alignments.max_v() <= 1: - singleton_textlines.append(tl) del te.textlines[i] removed_singletons = True self._textlines_alignments = {} @@ -612,33 +610,27 @@ class TextEdges2(object): self._register_all_text_lines(textlines) self._compute_alignment_counts() - def plotFRHAlignments(self, table, plt): + def plot_alignments(self, ax): """Displays a visualization of the alignments as currently computed. """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - img = table.get_pdf_image() - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) - - tls_by_alignment_score = sorted( + # FRHTODO: This is too busy and doesn't plot lines + most_aligned_tl = sorted( self._textlines_alignments.keys(), key=lambda textline: self._textlines_alignments[textline].alignment_score(), reverse=True - ) + )[0] - for tl, alignments in self._textlines_alignments.items(): - color = "red" - if tl == tls_by_alignment_score[0]: - color = "blue" - ax.add_patch( - patches.Rectangle( - (tl.x0, tl.y0), - tl.x1 - tl.x0, tl.y1 - tl.y0, - color=color, - alpha=0.5 - ) + ax.add_patch( + patches.Rectangle( + (most_aligned_tl.x0, most_aligned_tl.y0), + most_aligned_tl.x1 - most_aligned_tl.x0, + most_aligned_tl.y1 - most_aligned_tl.y0, + color="red", + alpha=0.5 ) + ) + for tl, alignments in self._textlines_alignments.items(): ax.text( tl.x0 - 5, tl.y0 - 5, @@ -749,6 +741,7 @@ class Hybrid(BaseParser): edge_tol=50, row_tol=2, column_tol=0, + debug=False, **kwargs ): super().__init__( @@ -758,6 +751,7 @@ class Hybrid(BaseParser): split_text=split_text, strip_text=strip_text, flag_size=flag_size, + debug=debug ) self.columns = columns self._validate_columns() @@ -971,8 +965,7 @@ class Hybrid(BaseParser): raise ValueError("Length of table_areas and columns" " should be equal") - # FRHTODO: get debug_info to work again - def _generate_table_bbox(self, debug_info=None): + def _generate_table_bbox(self): if self.table_areas is not None: table_bbox = {} for area_str in self.table_areas: @@ -981,32 +974,30 @@ class Hybrid(BaseParser): return all_textlines = self.horizontal_text + self.vertical_text - textlines = [] - if self.table_regions is None: - textlines = all_textlines - else: - # filter text - for region_str in self.table_regions: - region_text = text_in_bbox( - bbox_from_str(region_str), - all_textlines - ) - textlines.extend(region_text) + textlines = self._apply_regions_filter(all_textlines) textlines_processed = {} self.table_bbox = {} - if debug_info is not None: - debug_info_bbox_searches = [] - debug_info["bboxes_searches"] = debug_info_bbox_searches + if self.debug_info is not None: + debug_info_edges_searches = [] + self.debug_info["edges_searches"] = debug_info_edges_searches + debug_info_bboxes_searches = [] + self.debug_info["bboxes_searches"] = debug_info_bboxes_searches else: - debug_info_bbox_searches = None + debug_info_edges_searches = None + debug_info_bboxes_searches = None while True: self.textedges = TextEdges2() self.textedges.generate(textlines) self.textedges._remove_unconnected_edges() + if debug_info_edges_searches is not None: + # Preserve the current edge calculation for display debugging + debug_info_edges_searches.append( + copy.deepcopy(self.textedges) + ) bbox = self.textedges._build_bbox_candidate( - debug_info_bbox_searches + debug_info_bboxes_searches ) if bbox is None: break @@ -1040,8 +1031,10 @@ class Hybrid(BaseParser): average_tl_height ) - if debug_info is not None: - debug_info["col_searches"].append({ + if self.debug_info is not None: + if "col_searches" not in self.debug_info: + self.debug_info["col_searches"] = [] + self.debug_info["col_searches"].append({ "core_bbox": bbox, "cols_anchors": cols_anchors, "expanded_bbox": expanded_bbox @@ -1148,13 +1141,13 @@ class Hybrid(BaseParser): return table - def extract_tables(self, debug_info=None): + def extract_tables(self): if self._document_has_no_text(): return [] # Identify plausible areas within the doc where tables lie, # populate table_bbox keys with these areas. - self._generate_table_bbox(debug_info) + self._generate_table_bbox() _tables = [] # sort tables based on y-coord diff --git a/camelot/plotting.py b/camelot/plotting.py index b9d0091..3d6303a 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -164,6 +164,20 @@ class PlotMethods(object): ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig + @staticmethod + def draw_pdf(table, ax): + """Draw the content of the table's source pdf into the passed subplot + + Parameters + ---------- + table : camelot.core.Table + + fig : matplotlib.axes.Axes + + """ + img = table.get_pdf_image() + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) + @staticmethod def textedge(table): """Generates a plot for relevant textedges. @@ -179,6 +193,7 @@ class PlotMethods(object): """ fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") + PlotMethods.draw_pdf(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -193,11 +208,13 @@ class PlotMethods(object): ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) - for te in table._textedges: - ax.plot([te.x, te.x], [te.y0, te.y1]) + if table.flavor == "hybrid": + # FRHTODO: Clean this up + table.debug_info["edges_searches"][0].plot_alignments(ax) + else: + for te in table._textedges: + 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--- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -129,5 +129,5 @@ def test_stream_textedge_plot(): baseline_dir="files/baseline_plots", remove_text=True) def test_hybrid_textedge_plot(): filename = os.path.join(testdir, "tabula/12s0324.pdf") - tables = camelot.read_pdf(filename, flavor='hybrid') + tables = camelot.read_pdf(filename, debug=True, flavor='hybrid') return camelot.plot(tables[0], kind='textedge') From ad27a11d35ffc5e8fc1cdcc700efdb3623aaa863 Mon Sep 17 00:00:00 2001 From: Frh Date: Tue, 21 Apr 2020 13:57:12 -0700 Subject: [PATCH 18/60] Refactor code in plotting --- camelot/plotting.py | 63 +++++++++++++++++++-------------------------- 1 file changed, 27 insertions(+), 36 deletions(-) diff --git a/camelot/plotting.py b/camelot/plotting.py index 3d6303a..8d06179 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -9,6 +9,23 @@ else: _HAS_MPL = True +def draw_pdf(table, ax, to_pdf_scale=True): + """Draw the content of the table's source pdf into the passed subplot + + Parameters + ---------- + table : camelot.core.Table + + fig : matplotlib.axes.Axes + + """ + img = table.get_pdf_image() + if to_pdf_scale: + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) + else: + ax.imshow(img) + + class PlotMethods(object): def __call__(self, table, kind="text", filename=None): """Plot elements found on PDF page based on kind @@ -61,6 +78,7 @@ class PlotMethods(object): """ fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") + draw_pdf(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -75,8 +93,6 @@ class PlotMethods(object): ) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) - img = table.get_pdf_image() - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig @staticmethod @@ -95,6 +111,7 @@ class PlotMethods(object): """ fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") + draw_pdf(table, ax) for row in table.cells: for cell in row: if cell.left: @@ -105,9 +122,6 @@ class PlotMethods(object): ax.plot([cell.lt[0], cell.rt[0]], [cell.lt[1], cell.rt[1]]) if cell.bottom: ax.plot([cell.lb[0], cell.rb[0]], [cell.lb[1], cell.rb[1]]) - - img = table.get_pdf_image() - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig @staticmethod @@ -124,15 +138,15 @@ class PlotMethods(object): fig : matplotlib.fig.Figure """ - - img = table.get_pdf_image() + fig = plt.figure() + ax = fig.add_subplot(111, aspect="equal") _FOR_LATTICE = table.flavor == "lattice" + draw_pdf(table, ax, to_pdf_scale=not _FOR_LATTICE) + if _FOR_LATTICE: table_bbox = table._bbox_unscaled else: table_bbox = {table._bbox: None} - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") xs, ys = [], [] if not _FOR_LATTICE: @@ -157,27 +171,8 @@ class PlotMethods(object): ys.extend([t[1], t[3]]) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) - - if _FOR_LATTICE: - ax.imshow(img) - else: - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig - @staticmethod - def draw_pdf(table, ax): - """Draw the content of the table's source pdf into the passed subplot - - Parameters - ---------- - table : camelot.core.Table - - fig : matplotlib.axes.Axes - - """ - img = table.get_pdf_image() - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) - @staticmethod def textedge(table): """Generates a plot for relevant textedges. @@ -193,7 +188,7 @@ class PlotMethods(object): """ fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") - PlotMethods.draw_pdf(table, ax) + draw_pdf(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -214,7 +209,6 @@ class PlotMethods(object): else: for te in table._textedges: ax.plot([te.x, te.x], [te.y0, te.y1]) - return fig @staticmethod @@ -231,10 +225,10 @@ class PlotMethods(object): fig : matplotlib.fig.Figure """ - img = table.get_pdf_image() - table_bbox = table._bbox_unscaled fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") + draw_pdf(table, ax, to_pdf_scale=False) + table_bbox = table._bbox_unscaled x_coord = [] y_coord = [] for k in table_bbox.keys(): @@ -242,7 +236,6 @@ class PlotMethods(object): x_coord.append(coord[0]) y_coord.append(coord[1]) ax.plot(x_coord, y_coord, "ro") - ax.imshow(img) return fig @staticmethod @@ -261,12 +254,10 @@ class PlotMethods(object): """ fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") + draw_pdf(table, ax) vertical, horizontal = table._segments for v in vertical: ax.plot([v[0], v[2]], [v[1], v[3]]) for h in horizontal: ax.plot([h[0], h[2]], [h[1], h[3]]) - - img = table.get_pdf_image() - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) return fig From cd338ff4e29dd074931a153b7fac0453071eb6d2 Mon Sep 17 00:00:00 2001 From: Frh Date: Tue, 21 Apr 2020 14:24:44 -0700 Subject: [PATCH 19/60] Draw parse constraints for easier debug * Display regions and areas rectangles --- camelot/plotting.py | 70 +++++++++++++++++- .../test_hybrid_table_areas_text_plot.png | Bin 0 -> 100183 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 0 -> 100135 bytes tests/test_plotting.py | 21 ++++++ 4 files changed, 90 insertions(+), 1 deletion(-) create mode 100644 tests/files/baseline_plots/test_hybrid_table_areas_text_plot.png create mode 100644 tests/files/baseline_plots/test_hybrid_table_regions_textedge_plot.png diff --git a/camelot/plotting.py b/camelot/plotting.py index 8d06179..a7f249f 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -8,6 +8,25 @@ except ImportError: else: _HAS_MPL = True +from .utils import bbox_from_str + + +def draw_labeled_bbox(ax, bbox, text, rect_color): + ax.add_patch( + patches.Rectangle( + (bbox[0], bbox[1]), + bbox[2] - bbox[0], bbox[3] - bbox[1], + color="purple", linewidth=3, + fill=False + ) + ) + ax.text( + bbox[0], bbox[1], + text, + fontsize=12, color="black", verticalalignment="top", + bbox=dict(facecolor="purple", alpha=0.5) + ) + def draw_pdf(table, ax, to_pdf_scale=True): """Draw the content of the table's source pdf into the passed subplot @@ -16,7 +35,9 @@ def draw_pdf(table, ax, to_pdf_scale=True): ---------- table : camelot.core.Table - fig : matplotlib.axes.Axes + ax : matplotlib.axes.Axes + + to_pdf_scale : bool """ img = table.get_pdf_image() @@ -25,6 +46,47 @@ def draw_pdf(table, ax, to_pdf_scale=True): else: ax.imshow(img) + if table.debug_info: + # Display a bbox per region + for region_str in table.debug_info["table_regions"] or []: + draw_labeled_bbox( + ax, bbox_from_str(region_str), + "region: ({region_str})".format(region_str=region_str), + "purple" + ) + # Display a bbox per area + for area_str in table.debug_info["table_areas"] or []: + draw_labeled_bbox( + ax, bbox_from_str(area_str), + "area: ({area_str})".format(area_str=area_str), "pink" + ) + + +def draw_parse_constraints(table, ax): + """Draw any user provided constraints (area, region, columns, etc) + + Parameters + ---------- + table : camelot.core.Table + + ax : matplotlib.axes.Axes + + """ + if table.debug_info: + # Display a bbox per region + for region_str in table.debug_info["table_regions"] or []: + draw_labeled_bbox( + ax, bbox_from_str(region_str), + "region: ({region_str})".format(region_str=region_str), + "purple" + ) + # Display a bbox per area + for area_str in table.debug_info["table_areas"] or []: + draw_labeled_bbox( + ax, bbox_from_str(area_str), + "area: ({area_str})".format(area_str=area_str), "pink" + ) + class PlotMethods(object): def __call__(self, table, kind="text", filename=None): @@ -79,6 +141,7 @@ class PlotMethods(object): fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") draw_pdf(table, ax) + draw_parse_constraints(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -112,6 +175,7 @@ class PlotMethods(object): fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") draw_pdf(table, ax) + draw_parse_constraints(table, ax) for row in table.cells: for cell in row: if cell.left: @@ -142,6 +206,7 @@ class PlotMethods(object): ax = fig.add_subplot(111, aspect="equal") _FOR_LATTICE = table.flavor == "lattice" draw_pdf(table, ax, to_pdf_scale=not _FOR_LATTICE) + draw_parse_constraints(table, ax) if _FOR_LATTICE: table_bbox = table._bbox_unscaled @@ -189,6 +254,7 @@ class PlotMethods(object): fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") draw_pdf(table, ax) + draw_parse_constraints(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -228,6 +294,7 @@ class PlotMethods(object): fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") draw_pdf(table, ax, to_pdf_scale=False) + draw_parse_constraints(table, ax) table_bbox = table._bbox_unscaled x_coord = [] y_coord = [] @@ -255,6 +322,7 @@ class PlotMethods(object): fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") draw_pdf(table, ax) + draw_parse_constraints(table, ax) vertical, horizontal = table._segments for v in 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a/tests/test_plotting.py b/tests/test_plotting.py index c550edb..a0d17fb 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -131,3 +131,24 @@ def test_hybrid_textedge_plot(): filename = os.path.join(testdir, "tabula/12s0324.pdf") tables = camelot.read_pdf(filename, debug=True, flavor='hybrid') return camelot.plot(tables[0], kind='textedge') + + +@pytest.mark.mpl_image_compare( + baseline_dir="files/baseline_plots", remove_text=True) +def test_hybrid_table_regions_textedge_plot(): + filename = os.path.join(testdir, "tabula/us-007.pdf") + tables = camelot.read_pdf( + filename, debug=True, flavor="hybrid", + table_regions=["320,505,573,330"] + ) + return camelot.plot(tables[0], kind='textedge') + +@pytest.mark.mpl_image_compare( + baseline_dir="files/baseline_plots", remove_text=True) +def test_hybrid_table_areas_text_plot(): + filename = os.path.join(testdir, "tabula/us-007.pdf") + tables = camelot.read_pdf( + filename, debug=True, flavor="hybrid", + table_areas=["320,500,573,335"] + ) + return camelot.plot(tables[0], kind='text') From 9a82408a9aee6728b75de2b913d4f6cc21e7afdd Mon Sep 17 00:00:00 2001 From: Frh Date: Wed, 22 Apr 2020 14:08:22 -0700 Subject: [PATCH 20/60] Prettier plotting, improve gaps calculation --- camelot/parsers/hybrid.py | 182 ++++++++---------- camelot/plotting.py | 146 +++++++++++--- camelot/utils.py | 4 +- tests/data.py | 4 + .../test_hybrid_contour_plot.png | Bin 16614 -> 107607 bytes .../test_hybrid_table_areas_text_plot.png | Bin 100183 -> 102562 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 100135 -> 101968 bytes .../test_hybrid_textedge_plot.png | Bin 201982 -> 201983 bytes .../test_stream_contour_plot.png | Bin 15438 -> 105437 bytes tests/test_common.py | 5 +- 10 files changed, 211 insertions(+), 130 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 9877867..b1629c2 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -22,25 +22,8 @@ from matplotlib import patches as patches MAX_COL_SPREAD_IN_HEADER = 3 -def plot_annotated_bbox(plot, bbox, text, rect_color): - plot.add_patch( - patches.Rectangle( - (bbox[0], bbox[1]), - bbox[2] - bbox[0], bbox[3] - bbox[1], - color="purple", linewidth=3, - fill=False - ) - ) - plot.text( - bbox[0], bbox[1], - text, - fontsize=12, color="black", verticalalignment="top", - bbox=dict(facecolor="purple", alpha=0.5) - ) - - def todo_move_me_expand_area_for_header(area, textlines, col_anchors, - average_row_height): + max_v_gap): """The core algorithm is based on fairly strict alignment of text. It works ok for the table body, but might fail on tables' headers since they tend to be in a different font, alignment (e.g. vertical), @@ -78,13 +61,13 @@ def todo_move_me_expand_area_for_header(area, textlines, col_anchors, all_above = [] for te in textlines: # higher than the table, directly within its bounds - if te.y0 > top and te.x0 > left and te.x1 < right: + if te.y0 > top and te.x0 >= left and te.x1 <= right: all_above.append(te) if closest_above is None or closest_above.y0 > te.y0: closest_above = te if closest_above and \ - closest_above.y0 < top + average_row_height: + closest_above.y0 < top + max_v_gap: # b/ We have a candidate cell that is within the correct # vertical band, and directly above the table. Starting from # this anchor, we list all the textlines within the same row. @@ -475,37 +458,42 @@ class TextEdges2(object): self._textlines_alignments = {} self._compute_alignment_counts() - def _build_bbox_candidate(self, debug_info=None): - """ Seed the process with the textline with the highest alignment - score, then expand the bbox with textlines within threshold. + def _most_connected_textline(self): + """ Retrieve the textline that is most connected across vertical and + horizontal axis. + + """ + # Find the textline with the highest alignment score + return max( + self._textlines_alignments.keys(), + key=lambda textline: + self._textlines_alignments[textline].alignment_score(), + default=None + ) + + def _compute_plausible_gaps(self): + """ Evaluate plausible gaps between cells horizontally and vertically + based on the textlines aligned with the most connected textline. + + Returns + ------- + gaps_hv : tuple + (horizontal_gap, horizontal_gap) in pdf coordinate space. - Parameters - ---------- - debug_info : array - Optional parameter array, in which to store extra information - to help later visualization of the table creation. """ if self.max_rows <= 1 or self.max_cols <= 1: return None - tls_search_space = list(self._textlines_alignments.keys()) - def get_best_textline(textlines): - # Find the textline with the highest alignment score - return max( - textlines, - key=lambda textline: - self._textlines_alignments[textline].alignment_score(), - default=None - ) + # Determine the textline that has the most combined + # alignments across horizontal and vertical axis. + # It will serve as a reference axis along which to collect the average + # spacing between rows/cols. + most_aligned_tl = self._most_connected_textline() + most_aligned_coords = TextEdges2.get_textline_coords( + most_aligned_tl) - # First, determine the textline that has the most combined alignments - # across horizontal and vertical axis. - # It will serve both as a starting point for the table boundary search, - # and as a way to estimate the average spacing between rows/cols. - most_aligned_tl = get_best_textline(tls_search_space) - most_aligned_coords = TextEdges2.get_textline_coords(most_aligned_tl) - - # Retrieve the list of textlines it's aligned with, across both axis + # Retrieve the list of textlines it's aligned with, across both + # axis best_alignment = self._textlines_alignments[most_aligned_tl] ref_h_edge_name = best_alignment.max_h_edge_name() ref_v_edge_name = best_alignment.max_v_edge_name() @@ -544,9 +532,30 @@ class TextEdges2(object): return None percentile = 75 gaps_hv = ( - np.percentile(h_gaps, percentile), - np.percentile(v_gaps, percentile) + 2.0 * np.percentile(h_gaps, percentile), + 2.0 * np.percentile(v_gaps, percentile) ) + return gaps_hv + + def _build_bbox_candidate(self, gaps_hv, debug_info=None): + """ Seed the process with the textline with the highest alignment + score, then expand the bbox with textlines within threshold. + + Parameters + ---------- + gaps_hv : tuple + The maximum distance allowed to consider surrounding lines/columns + as part of the same table. + debug_info : array (optional) + Optional parameter array, in which to store extra information + to help later visualization of the table creation. + """ + # First, determine the textline that has the most combined + # alignments across horizontal and vertical axis. + # It will serve both as a starting point for the table boundary + # search, and as a way to estimate the average spacing between + # rows/cols. + most_aligned_tl = self._most_connected_textline() # Calculate the 75th percentile of the horizontal/vertical # gaps between textlines. Use this as a reference for a threshold @@ -555,7 +564,7 @@ class TextEdges2(object): # gaps_hv = self._calculate_gaps_thresholds(75) # if (gaps_hv[0] is None or gaps_hv[1] is None): # return None - max_h_gap, max_v_gap = gaps_hv[0] * 3, gaps_hv[1] * 3 + max_h_gap, max_v_gap = gaps_hv[0], gaps_hv[1] if debug_info is not None: # Store debug info @@ -571,6 +580,11 @@ class TextEdges2(object): MINIMUM_TEXTLINES_IN_TABLE = 6 bbox = (most_aligned_tl.x0, most_aligned_tl.y0, most_aligned_tl.x1, most_aligned_tl.y1) + + # For the body of the table, we only consider cells with alignments + # on both axis. + tls_search_space = list(self._textlines_alignments.keys()) + # tls_search_space = [] tls_search_space.remove(most_aligned_tl) tls_in_bbox = [most_aligned_tl] last_bbox = None @@ -639,57 +653,6 @@ class TextEdges2(object): color="black" ) - def plotFRHTableSearch(self, plot, debug_info): - if debug_info is None: - return - # Display a bbox per region - for region_str in debug_info["table_regions"] or []: - plot_annotated_bbox( - plot, bbox_from_str(region_str), - "region: ({region_str})".format(region_str=region_str), - "purple" - ) - # Display a bbox per area - for area_str in debug_info["table_areas"] or []: - plot_annotated_bbox( - plot, bbox_from_str(area_str), - "area: ({area_str})".format(area_str=area_str), "pink" - ) - for box_id, bbox_search in enumerate(debug_info["bboxes_searches"]): - max_h_gap = bbox_search["max_h_gap"] - max_v_gap = bbox_search["max_v_gap"] - iterations = bbox_search["iterations"] - for iteration, bbox in enumerate(iterations): - final = iteration == len(iterations) - 1 - plot.add_patch( - patches.Rectangle( - (bbox[0], bbox[1]), - bbox[2] - bbox[0], bbox[3] - bbox[1], - color="red", - linewidth=5 if final else 2, - fill=False - ) - ) - plot.text( - bbox[0], - bbox[1], - f"box #{box_id+1} / iter #{iteration}", - fontsize=12, - color="black", - verticalalignment="top", - bbox=dict(facecolor="orange", alpha=0.5) - ) - - plot.add_patch( - patches.Rectangle( - (bbox[0]-max_h_gap, bbox[1]-max_v_gap), - bbox[2] - bbox[0] + 2 * max_h_gap, - bbox[3] - bbox[1] + 2 * max_v_gap, - color="orange", - fill=False - ) - ) - class Hybrid(BaseParser): """Hybrid method of parsing looks for spaces between text @@ -738,7 +701,7 @@ class Hybrid(BaseParser): flag_size=False, split_text=False, strip_text="", - edge_tol=50, + edge_tol=None, row_tol=2, column_tol=0, debug=False, @@ -754,6 +717,8 @@ class Hybrid(BaseParser): debug=debug ) self.columns = columns + self.textedges = None + self._validate_columns() self.edge_tol = edge_tol self.row_tol = row_tol @@ -973,7 +938,11 @@ class Hybrid(BaseParser): self.table_bbox = table_bbox return - all_textlines = self.horizontal_text + self.vertical_text + # Take all the textlines that are not just spaces + all_textlines = [ + t for t in self.horizontal_text + self.vertical_text + if len(t.get_text().strip()) > 0 + ] textlines = self._apply_regions_filter(all_textlines) textlines_processed = {} @@ -996,8 +965,15 @@ class Hybrid(BaseParser): debug_info_edges_searches.append( copy.deepcopy(self.textedges) ) + gaps_hv = self.textedges._compute_plausible_gaps() + if gaps_hv is None: + return None + if self.edge_tol is not None: + # edge_tol instructions override the calculated vertical gap + gaps_hv = (gaps_hv[0], self.edge_tol) bbox = self.textedges._build_bbox_candidate( - debug_info_bboxes_searches + gaps_hv, + debug_info=debug_info_bboxes_searches ) if bbox is None: break @@ -1028,7 +1004,7 @@ class Hybrid(BaseParser): bbox, textlines, cols_anchors, - average_tl_height + gaps_hv[1] # average_tl_height ) if self.debug_info is not None: diff --git a/camelot/plotting.py b/camelot/plotting.py index a7f249f..9a7f552 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -11,20 +11,50 @@ else: from .utils import bbox_from_str -def draw_labeled_bbox(ax, bbox, text, rect_color): +def draw_labeled_bbox( + ax, bbox, text, + color="black", linewidth=3, + linestyle="solid", + label_pos="top,left" +): ax.add_patch( patches.Rectangle( (bbox[0], bbox[1]), bbox[2] - bbox[0], bbox[3] - bbox[1], - color="purple", linewidth=3, + color=color, + linewidth=linewidth, linestyle=linestyle, fill=False ) ) + + vlabel, hlabel = label_pos.split(",") + if (vlabel == "top"): + y = max(bbox[1], bbox[3]) + elif (vlabel == "bottom"): + y = min(bbox[1], bbox[3]) + else: + y = 0.5 * (bbox[1] + bbox[3]) + + # We want to draw the label outside the box (above or below) + label_align_swap = { + "top": "bottom", + "bottom": "top", + "center": "center" + } + vlabel_out_of_box = label_align_swap[vlabel] + if (hlabel == "right"): + x = max(bbox[0], bbox[2]) + elif (hlabel == "left"): + x = min(bbox[0], bbox[2]) + else: + x = 0.5 * (bbox[0] + bbox[2]) ax.text( - bbox[0], bbox[1], + x, y, text, - fontsize=12, color="black", verticalalignment="top", - bbox=dict(facecolor="purple", alpha=0.5) + fontsize=12, color="black", + verticalalignment=vlabel_out_of_box, + horizontalalignment=hlabel, + bbox=dict(facecolor=color, alpha=0.3) ) @@ -46,21 +76,6 @@ def draw_pdf(table, ax, to_pdf_scale=True): else: ax.imshow(img) - if table.debug_info: - # Display a bbox per region - for region_str in table.debug_info["table_regions"] or []: - draw_labeled_bbox( - ax, bbox_from_str(region_str), - "region: ({region_str})".format(region_str=region_str), - "purple" - ) - # Display a bbox per area - for area_str in table.debug_info["table_areas"] or []: - draw_labeled_bbox( - ax, bbox_from_str(area_str), - "area: ({area_str})".format(area_str=area_str), "pink" - ) - def draw_parse_constraints(table, ax): """Draw any user provided constraints (area, region, columns, etc) @@ -78,13 +93,20 @@ def draw_parse_constraints(table, ax): draw_labeled_bbox( ax, bbox_from_str(region_str), "region: ({region_str})".format(region_str=region_str), - "purple" + color="purple", + linestyle="dotted", + linewidth=1, + label_pos="bottom,right" ) # Display a bbox per area for area_str in table.debug_info["table_areas"] or []: draw_labeled_bbox( ax, bbox_from_str(area_str), - "area: ({area_str})".format(area_str=area_str), "pink" + "area: ({area_str})".format(area_str=area_str), + color="pink", + linestyle="dotted", + linewidth=1, + label_pos="bottom,right" ) @@ -220,7 +242,9 @@ class PlotMethods(object): ys.extend([t[1], t[3]]) ax.add_patch( patches.Rectangle( - (t[0], t[1]), t[2] - t[0], t[3] - t[1], color="blue" + (t[0], t[1]), t[2] - t[0], t[3] - t[1], + color="blue", + alpha=0.5 ) ) @@ -329,3 +353,79 @@ class PlotMethods(object): for h in horizontal: ax.plot([h[0], h[2]], [h[1], h[3]]) return fig + + @staticmethod + def hybrid_table_search(table): + """Generates a plot illustrating the steps of the hybrid table search. + + Parameters + ---------- + table : camelot.core.Table + + Returns + ------- + fig : matplotlib.fig.Figure + + """ + fig = plt.figure() + ax = fig.add_subplot(111, aspect="equal") + draw_pdf(table, ax) + draw_parse_constraints(table, ax) + + if table.debug_info is None: + return fig + debug_info = table.debug_info + for box_id, bbox_search in enumerate(debug_info["bboxes_searches"]): + max_h_gap = bbox_search["max_h_gap"] + max_v_gap = bbox_search["max_v_gap"] + iterations = bbox_search["iterations"] + for iteration, bbox in enumerate(iterations): + final = iteration == len(iterations) - 1 + + draw_labeled_bbox( + ax, bbox, + "box #{box_id} / iter #{iteration}".format( + box_id=box_id, + iteration=iteration + ), + color="red", + linewidth=5 if final else 2, + label_pos="bottom,left" + ) + + ax.add_patch( + patches.Rectangle( + (bbox[0]-max_h_gap, bbox[1]-max_v_gap), + bbox[2] - bbox[0] + 2 * max_h_gap, + bbox[3] - bbox[1] + 2 * max_v_gap, + color="orange", + fill=False + ) + ) + + for box_id, col_search in enumerate(debug_info["col_searches"]): + draw_labeled_bbox( + ax, col_search["expanded_bbox"], + "box body + header #{box_id}".format( + box_id=box_id + ), + color="red", + linewidth=4, + label_pos="top,left" + ) + draw_labeled_bbox( + ax, col_search["core_bbox"], + "box body #{box_id}".format( + box_id=box_id + ), + color="orange", + linewidth=2, + label_pos="bottom,left" + ) + # self.debug_info["col_searches"].append({ + # "core_bbox": bbox, + # "cols_anchors": cols_anchors, + # "expanded_bbox": expanded_bbox + # }) + + return fig diff --git a/camelot/utils.py b/camelot/utils.py index 883040b..8672f3a 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -1115,10 +1115,10 @@ def compare_tables(left, right): differences_str = " and ".join(differences) print( "Right has {differences_str} than left " - "{shape_right} vs {shape_left}".format( + "{shape_left} vs {shape_right}".format( differences_str=differences_str, + shape_left=[left.shape[0], left.shape[1]], shape_right=[right.shape[0], right.shape[1]], - shape_left=[left.shape[0], left.shape[1]] ) ) diff --git a/tests/data.py b/tests/data.py index a1ec2e7..207686f 100755 --- a/tests/data.py +++ b/tests/data.py @@ -2442,6 +2442,10 @@ data_stream_edge_tol = [ ["period.", ""], ] +# The stream algorithm ends up including a footer, which hybrid correctly +# skips. +data_hybrid_edge_tol = data_stream_edge_tol[:-3] + data_lattice = [ [ "Cycle \nName", diff --git a/tests/files/baseline_plots/test_hybrid_contour_plot.png b/tests/files/baseline_plots/test_hybrid_contour_plot.png index 2757c332f903b54b8a22db784bd211a8417a7b80..121147ed638b6c1e985052b489e7bc2834fb17b1 100644 GIT binary patch literal 107607 zcmeEuWmHsA|1KyhASK*k*8O~4OXbX*nRCuQXFvP*#E;fq+-zKIoGjEITwNUn+1da1`)m%*mh3-{1ZR*0;4MHpGGjheE#5Z2IpTEHj>Os5m7cY_yBh+ zoOrc9=b7B|G*anMO&n>pIqKcCUH!0`K-&zF%Nw;K1#J(8EfqoK;42ryhA}t9gdt3W zCtKBH9)>ajfk0ja<4B^?1mpPQc$Se-|7WA#@eh*p{fm;Q%Y0l&&;IQoc@d2v{@gaMB1?uDhXw^b&?+}lE;nl7NKt|{3P^?>>v(wy$i-5c z&(%A1b$4g%Y@pKkDm|u_M2#&mYDq0pFUZ`nK&4@$K86ij{{6-TYb23GrHV%m!|8a@ z;(hvHf)C~4V~h_j%>`NhsoF+fd4o>Ar9Wz)3fe;jt((5D*8ba&g`Vxt_fHh5pSB5s zV@BRT-jt*EO{5&}kfcJf>|BH+yI11*Tc^~Zk0|QwC~6ExoS^?UitU`63UFWy@{&aV z*SX=OqLe9oX~6fpG-j4F4NOFe#Y9$pVqRNf 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zZl}*O+dbDk$NjN8AN%Lg(c;?^nXYd?d1b%%&W!Y8Ua7l%h-KQmV%Kq3x>ok&n|t}> wEB~{bq6xRrkF9FBO(sP;B2+&qK-|p6$;HhHiJ~9_fkY|DczG4BDN>OAKjj`<0RR91 literal 0 HcmV?d00001 diff --git a/tests/test_common.py b/tests/test_common.py index e44b7c4..f0d95b5 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -194,6 +194,17 @@ def test_hybrid_two_tables_b(): assert df2.equals(tables[1].df) +def test_hybrid_vertical_header(): + """Tests a complex table with a vertically text header. + """ + df = pd.DataFrame(data_hybrid_vertical_headers) + + filename = os.path.join(testdir, "vertical_header.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + assert len(tables) == 1 + assert_frame_equal(df, tables[0].df) + + def test_hybrid_table_regions(): df = pd.DataFrame(data_hybrid_table_regions) From 8a63e8e7943556beb90302c94c27ea0c4b9b4755 Mon Sep 17 00:00:00 2001 From: Frh Date: Wed, 29 Apr 2020 12:31:02 -0700 Subject: [PATCH 52/60] Minor linting --- camelot/io.py | 17 ++--- camelot/parsers/hybrid.py | 156 +++++++++++++++++++------------------- camelot/utils.py | 10 +-- 3 files changed, 91 insertions(+), 92 deletions(-) diff --git a/camelot/io.py b/camelot/io.py index 58ec530..f688178 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -7,15 +7,14 @@ from .utils import validate_input, remove_extra def read_pdf( - filepath, - pages="1", - password=None, - flavor="lattice", - suppress_stdout=False, - layout_kwargs=None, - debug=False, - **kwargs -): + filepath, + pages="1", + password=None, + flavor="lattice", + suppress_stdout=False, + layout_kwargs=None, + debug=False, + **kwargs): """Read PDF and return extracted tables. Note: kwargs annotated with ^ can only be used with flavor='stream' diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 94ba99b..2488ed3 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -47,39 +47,39 @@ def column_spread(left, right, col_anchors): def find_closest_tls(bbox, tls): """ Search for tls that are the closest but outside in all 4 directions """ - closest = { - "left": None, - "right": None, - "top": None, - "bottom": None, - } + left, right, top, bottom = None, None, None, None (bbox_left, bbox_bottom, bbox_right, bbox_top) = bbox - for tl in tls: - if tl.x1 < bbox_left: + for textline in tls: + if textline.x1 < bbox_left: # Left: check it overlaps horizontally - if tl.y0 > bbox_top or tl.y1 < bbox_bottom: + if textline.y0 > bbox_top or textline.y1 < bbox_bottom: continue - if closest["left"] is None or closest["left"].x1 < tl.x1: - closest["left"] = tl - elif bbox_right < tl.x0: + if left is None or left.x1 < textline.x1: + left = textline + elif bbox_right < textline.x0: # Right: check it overlaps horizontally - if tl.y0 > bbox_top or tl.y1 < bbox_bottom: + if textline.y0 > bbox_top or textline.y1 < bbox_bottom: continue - if closest["right"] is None or closest["right"].x0 > tl.x0: - closest["right"] = tl + if right is None or right.x0 > textline.x0: + right = textline else: # Either bottom or top: must overlap vertically - if tl.x0 > bbox_right or tl.x1 < bbox_left: + if textline.x0 > bbox_right or textline.x1 < bbox_left: continue - elif tl.y1 < bbox_bottom: + if textline.y1 < bbox_bottom: # Bottom - if closest["bottom"] is None or closest["bottom"].y1 < tl.y1: - closest["bottom"] = tl - elif bbox_top < tl.y0: + if bottom is None or bottom.y1 < textline.y1: + bottom = textline + elif bbox_top < textline.y0: # Top - if closest["top"] is None or closest["top"].y0 > tl.y0: - closest["top"] = tl - return closest + if top is None or top.y0 > textline.y0: + top = textline + return { + "left": left, + "right": right, + "top": top, + "bottom": bottom, + } def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): @@ -103,16 +103,15 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): # It will be the anchor for a possible new row. closest_above = None all_above = [] - for te in textlines: + for textline in textlines: # higher than the table, >50% within its bounds - te_center = 0.5 * (te.x0 + te.x1) - if te.y0 > top and left < te_center < right: - all_above.append(te) - if closest_above is None or closest_above.y0 > te.y0: - closest_above = te + textline_center = 0.5 * (textline.x0 + textline.x1) + if textline.y0 > top and left < textline_center < right: + all_above.append(textline) + if closest_above is None or closest_above.y0 > textline.y0: + closest_above = textline - if closest_above and \ - closest_above.y0 < top + max_v_gap: + if closest_above and closest_above.y0 < top + max_v_gap: # b/ We have a candidate cell that is within the correct # vertical band, and directly above the table. Starting from # this anchor, we list all the textlines within the same row. @@ -124,23 +123,27 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): # Iterate and extract elements that fit in the row # from our list for i in range(len(all_above) - 1, -1, -1): - te = all_above[i] - if te.y0 < top: + textline = all_above[i] + if textline.y0 < top: # The bottom of this element is within our row # so we add it. - tls_in_new_row.append(te) + tls_in_new_row.append(textline) all_above.pop(i) - if te.y1 > top: + if textline.y1 > top: # If the top of this element raises our row's # band, we'll need to keep on searching for # overlapping items - top = te.y1 + top = textline.y1 pushed_up = True # Get the x-ranges for all the textlines, and merge the # x-ranges that overlap - zones = zones + \ - list(map(lambda tl: [tl.x0, tl.x1], tls_in_new_row)) + zones = zones + list( + map( + lambda textline: [textline.x0, textline.x1], + tls_in_new_row + ) + ) zones.sort(key=lambda z: z[0]) # Sort by left coordinate # Starting from the right, if two zones overlap horizontally, # merge them @@ -277,9 +280,9 @@ class TextNetworks(TextAlignments): identify alignments. """ # Identify all the alignments - for tl in textlines: - if len(tl.get_text().strip()) > 0: - self._register_textline(tl) + for textline in textlines: + if len(textline.get_text().strip()) > 0: + self._register_textline(textline) def _compute_alignment_counts(self): """Build a dictionary textline -> alignment object. @@ -294,7 +297,7 @@ class TextNetworks(TextAlignments): self._textline_to_alignments[textline] = alignments alignments[align_id] = textedge.textlines - def _remove_unconnected_edges(self): + def remove_unconnected_edges(self): """Weed out elements which are only connected to others vertically or horizontally. There needs to be connections across both dimensions. @@ -302,16 +305,16 @@ class TextNetworks(TextAlignments): removed_singletons = True while removed_singletons: removed_singletons = False - for textalignments in self._text_alignments.values(): + for text_alignments in self._text_alignments.values(): # For each alignment edge, remove items if they are singletons # either horizontally or vertically - for ta in textalignments: - for i in range(len(ta.textlines) - 1, -1, -1): - tl = ta.textlines[i] - alignments = self._textline_to_alignments[tl] + for text_alignment in text_alignments: + for i in range(len(text_alignment.textlines) - 1, -1, -1): + textline = text_alignment.textlines[i] + alignments = self._textline_to_alignments[textline] if alignments.max_h_count() <= 1 or \ alignments.max_v_count() <= 1: - del ta.textlines[i] + del text_alignment.textlines[i] removed_singletons = True self._textline_to_alignments = {} self._compute_alignment_counts() @@ -335,7 +338,7 @@ class TextNetworks(TextAlignments): default=None ) - def _compute_plausible_gaps(self): + def compute_plausible_gaps(self): """ Evaluate plausible gaps between cells horizontally and vertically based on the textlines aligned with the most connected textline. @@ -363,12 +366,12 @@ class TextNetworks(TextAlignments): h_textlines = sorted( ref_h_textlines, - key=lambda tl: tl.x0, + key=lambda textline: textline.x0, reverse=True ) v_textlines = sorted( ref_v_textlines, - key=lambda tl: tl.y0, + key=lambda textline: textline.y0, reverse=True ) @@ -387,7 +390,7 @@ class TextNetworks(TextAlignments): ) return gaps_hv - def _build_bbox_candidate(self, gaps_hv, parse_details=None): + def search_table_body(self, gaps_hv, parse_details=None): """ Build a candidate bbox for the body of a table using hybrid algo Seed the process with the textline with the highest alignment @@ -445,27 +448,27 @@ class TextNetworks(TextAlignments): last_bbox = bbox cand_bbox = last_bbox.copy() closest_tls = find_closest_tls(bbox, tls_search_space) - for direction, tl in closest_tls.items(): - if tl is None: + for direction, textline in closest_tls.items(): + if textline is None: continue expanded_cand_bbox = cand_bbox.copy() if direction == "left": - if expanded_cand_bbox[0] - tl.x1 > gaps_hv[0]: + if expanded_cand_bbox[0] - textline.x1 > gaps_hv[0]: continue - expanded_cand_bbox[0] = tl.x0 + expanded_cand_bbox[0] = textline.x0 elif direction == "right": - if tl.x0 - expanded_cand_bbox[2] > gaps_hv[0]: + if textline.x0 - expanded_cand_bbox[2] > gaps_hv[0]: continue - expanded_cand_bbox[2] = tl.x1 + expanded_cand_bbox[2] = textline.x1 elif direction == "bottom": - if expanded_cand_bbox[1] - tl.y1 > gaps_hv[1]: + if expanded_cand_bbox[1] - textline.y1 > gaps_hv[1]: continue - expanded_cand_bbox[1] = tl.y0 + expanded_cand_bbox[1] = textline.y0 elif direction == "top": - if tl.y0 - expanded_cand_bbox[3] > gaps_hv[1]: + if textline.y0 - expanded_cand_bbox[3] > gaps_hv[1]: continue - expanded_cand_bbox[3] = tl.y1 + expanded_cand_bbox[3] = textline.y1 # If they are, see what an expanded bbox in that direction # would contain @@ -477,9 +480,9 @@ class TextNetworks(TextAlignments): # This happens when text covers multiple rows - that's only # allowed in the header, treated separately. cols_cand = find_columns_coordinates(tls_in_new_box) - if direction in ["bottom", "top"]: - if len(cols_cand) < len(last_cols_cand): - continue + if direction in ["bottom", "top"] and \ + len(cols_cand) < len(last_cols_cand): + continue # We have an expansion candidate: register it, update the # search space and repeat @@ -489,8 +492,8 @@ class TextNetworks(TextAlignments): last_cols_cand = cols_cand tls_in_bbox.extend(new_tls) for i in range(len(tls_search_space) - 1, -1, -1): - tl = tls_search_space[i] - if tl in new_tls: + textline = tls_search_space[i] + if textline in new_tls: del tls_search_space[i] if len(tls_in_bbox) > MINIMUM_TEXTLINES_IN_TABLE: @@ -595,6 +598,7 @@ class Hybrid(TextBaseParser): parse_details_network_searches parse_details_bbox_searches = [] self.parse_details["bbox_searches"] = parse_details_bbox_searches + self.parse_details["col_searches"] = [] else: parse_details_network_searches = None parse_details_bbox_searches = None @@ -611,8 +615,8 @@ class Hybrid(TextBaseParser): else: text_network = TextNetworks() text_network.generate(textlines) - text_network._remove_unconnected_edges() - gaps_hv = text_network._compute_plausible_gaps() + text_network.remove_unconnected_edges() + gaps_hv = text_network.compute_plausible_gaps() if gaps_hv is None: return None # edge_tol instructions override the calculated vertical gap @@ -620,7 +624,7 @@ class Hybrid(TextBaseParser): gaps_hv[0], gaps_hv[1] if self.edge_tol is None else self.edge_tol ) - bbox_body = text_network._build_bbox_candidate( + bbox_body = text_network.search_table_body( edge_tol_hv, parse_details=parse_details_bbox_searches ) @@ -664,15 +668,13 @@ class Hybrid(TextBaseParser): self.table_bbox[bbox_full] = table_parse if self.parse_details is not None: - if "col_searches" not in self.parse_details: - self.parse_details["col_searches"] = [] self.parse_details["col_searches"].append(table_parse) # Remember what textlines we processed, and repeat - for tl in tls_in_bbox: - textlines_processed[tl] = None + for textline in tls_in_bbox: + textlines_processed[textline] = None textlines = list(filter( - lambda tl: tl not in textlines_processed, + lambda textline: textline not in textlines_processed, textlines )) @@ -687,10 +689,10 @@ class Hybrid(TextBaseParser): all_tls = list( sorted( filter( - lambda tl: len(tl.get_text().strip()) > 0, + lambda textline: len(textline.get_text().strip()) > 0, self.t_bbox["horizontal"] + self.t_bbox["vertical"] ), - key=lambda tl: (-tl.y0, tl.x0) + key=lambda textline: (-textline.y0, textline.x0) ) ) text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( diff --git a/camelot/utils.py b/camelot/utils.py index 5dcba39..1432259 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -640,12 +640,12 @@ def get_index_closest_point(point, sorted_list, fn=lambda x: x): if mid_val > point: if mid > 0 and ( - point - fn(sorted_list[mid-1]) < + point - fn(sorted_list[mid-1]) < mid_val - point): return mid-1 elif mid_val < point: if mid < n - 1 and ( - fn(sorted_list[mid+1]) - point < + fn(sorted_list[mid+1]) - point < point - mid_val): return mid+1 return mid @@ -844,10 +844,8 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): col = table.cols[c] for cut in y_cuts: if isinstance(obj, LTChar): - if ( - col[0] <= (obj.x0 + obj.x1) / 2 <= col[1] - and (obj.y0 + obj.y1) / 2 >= cut[1] - ): + if col[0] <= (obj.x0 + obj.x1) / 2 <= col[1] \ + and (obj.y0 + obj.y1) / 2 >= cut[1]: cut_text.append((cut[0], c, obj)) break else: From f3aded5b17e1ce858bb5739f984179929c51f9fa Mon Sep 17 00:00:00 2001 From: Frh Date: Wed, 29 Apr 2020 13:52:58 -0700 Subject: [PATCH 53/60] Linting --- camelot/core.py | 33 +++++++++++------------ camelot/plotting.py | 10 +++---- camelot/utils.py | 63 ++++++++++++++++++++++---------------------- tests/test_common.py | 3 ++- 4 files changed, 54 insertions(+), 55 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index ee9adcd..4e2e44d 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -171,19 +171,19 @@ class TextAlignments(): idx_insert = None if idx_closest is None: idx_insert = 0 - # Note: np.isclose is slow! - elif coord - 0.5 < \ - alignment_array[idx_closest].coord < \ - coord + 0.5: - self._update_alignment( - alignment_array[idx_closest], - coord, - textline - ) - elif alignment_array[idx_closest].coord < coord: - idx_insert = idx_closest + 1 else: - idx_insert = idx_closest + coord_closest = alignment_array[idx_closest].coord + # Note: np.isclose is slow! + if coord - 0.5 < coord_closest < coord + 0.5: + self._update_alignment( + alignment_array[idx_closest], + coord, + textline + ) + elif coord_closest < coord: + idx_insert = idx_closest + 1 + else: + idx_insert = idx_closest if idx_insert is not None: new_alignment = self._create_new_text_alignment( coord, textline, alignment_id @@ -212,8 +212,8 @@ class TextEdges(TextAlignments): te = self._create_new_text_alignment(coord, textline, align) self._text_alignments[align].append(te) - def _update_alignment(self, edge, coord, textline): - edge.update_coords(coord, textline, self.edge_tol) + def _update_alignment(self, alignment, coord, textline): + alignment.update_coords(coord, textline, self.edge_tol) def generate(self, textlines): """Generates the text edges dict based on horizontal text @@ -469,8 +469,7 @@ class Table(): if self.page == other.page: if self.order < other.order: return True - if self.page < other.page: - return True + return self.page < other.page @property def data(self): @@ -674,7 +673,7 @@ class Table(): bottom = cell.bottom if cell.bound == 4: continue - elif cell.bound == 3: + if cell.bound == 3: if not left and (right and top and bottom): cell.hspan = True elif not right and (left and top and bottom): diff --git a/camelot/plotting.py b/camelot/plotting.py index e5fec12..e390464 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -44,9 +44,9 @@ def draw_labeled_bbox( ) vlabel, hlabel = label_pos.split(",") - if (vlabel == "top"): + if vlabel == "top": y = max(bbox[1], bbox[3]) - elif (vlabel == "bottom"): + elif vlabel == "bottom": y = min(bbox[1], bbox[3]) else: y = 0.5 * (bbox[1] + bbox[3]) @@ -58,9 +58,9 @@ def draw_labeled_bbox( "center": "center" } vlabel_out_of_box = label_align_swap[vlabel] - if (hlabel == "right"): + if hlabel == "right": x = max(bbox[0], bbox[2]) - elif (hlabel == "left"): + elif hlabel == "left": x = min(bbox[0], bbox[2]) else: x = 0.5 * (bbox[0] + bbox[2]) @@ -203,7 +203,7 @@ class PlotMethods(): raise NotImplementedError( "Lattice flavor does not support kind='{}'".format(kind) ) - elif table.flavor in ["stream", "hybrid"] and kind in ["line"]: + if table.flavor in ["stream", "hybrid"] and kind in ["line"]: raise NotImplementedError( "Stream flavor does not support kind='{}'".format(kind) ) diff --git a/camelot/utils.py b/camelot/utils.py index 1432259..27d5b1e 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -157,12 +157,15 @@ def remove_extra(kwargs, flavor="lattice"): # https://stackoverflow.com/a/22726782 # and https://stackoverflow.com/questions/10965479 class TemporaryDirectory(): + def __init__(self): + self.dir_path = None + def __enter__(self): - self.name = tempfile.mkdtemp() + self.dir_path = tempfile.mkdtemp() # Only delete the temporary directory upon # program exit. - atexit.register(shutil.rmtree, self.name) - return self.name + atexit.register(shutil.rmtree, self.dir_path) + return self.dir_path def __exit__(self, exc_type, exc_value, traceback): pass @@ -343,8 +346,8 @@ def get_rotation(chars, horizontal_text, vertical_text): hlen = len([t for t in horizontal_text if t.get_text().strip()]) vlen = len([t for t in vertical_text if t.get_text().strip()]) if hlen < vlen: - clockwise = sum(t.matrix[1] < 0 and t.matrix[2] > 0 for t in chars) - anticlockwise = sum(t.matrix[1] > 0 and t.matrix[2] < 0 for t in chars) + clockwise = sum(t.matrix[1] < 0 < t.matrix[2] for t in chars) + anticlockwise = sum(t.matrix[1] > 0 > t.matrix[2] for t in chars) rotation = "anticlockwise" if clockwise < anticlockwise \ else "clockwise" return rotation @@ -753,7 +756,7 @@ def flag_font_size(textline, direction, strip_text=""): flist.append("".join(fchars)) fstring = "".join(flist) else: - fstring = "".join([t.get_text() for t in textline]) + fstring = "".join(t.get_text() for t in textline) return text_strip(fstring, strip_text) @@ -815,10 +818,9 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): ): cut_text.append((r, cut[0], obj)) break - else: - # TODO: add test - if cut == x_cuts[-1]: - cut_text.append((r, cut[0] + 1, obj)) + # TODO: add test + if cut == x_cuts[-1]: + cut_text.append((r, cut[0] + 1, obj)) elif isinstance(obj, LTAnno): cut_text.append((r, cut[0], obj)) elif direction == "vertical" and not textline.is_empty(): @@ -848,10 +850,9 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): and (obj.y0 + obj.y1) / 2 >= cut[1]: cut_text.append((cut[0], c, obj)) break - else: - # TODO: add test - if cut == y_cuts[-1]: - cut_text.append((cut[0] - 1, c, obj)) + # TODO: add test + if cut == y_cuts[-1]: + cut_text.append((cut[0] - 1, c, obj)) elif isinstance(obj, LTAnno): cut_text.append((cut[0], c, obj)) except IndexError: @@ -964,23 +965,21 @@ def get_table_index( ), error, ) - else: - if flag_size: - return ( - [ - ( - r_idx, - c_idx, - flag_font_size(t._objs, - direction, - strip_text=strip_text), - ) - ], - error, - ) - else: - return [(r_idx, c_idx, text_strip(t.get_text(), strip_text))], \ - error + if flag_size: + return ( + [ + ( + r_idx, + c_idx, + flag_font_size(t._objs, + direction, + strip_text=strip_text), + ) + ], + error, + ) + return [(r_idx, c_idx, text_strip(t.get_text(), strip_text))], \ + error def compute_accuracy(error_weights): @@ -1002,7 +1001,7 @@ def compute_accuracy(error_weights): SCORE_VAL = 100 try: score = 0 - if sum([ew[0] for ew in error_weights]) != SCORE_VAL: + if sum(ew[0] for ew in error_weights) != SCORE_VAL: raise ValueError("Sum of weights should be equal to 100.") for ew in error_weights: weight = ew[0] / len(ew[1]) diff --git a/tests/test_common.py b/tests/test_common.py index f0d95b5..934aa2a 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -7,8 +7,9 @@ from pandas.testing import assert_frame_equal import camelot from camelot.core import Table, TableList -from camelot.utils import compare_tables from camelot.__version__ import generate_version +# compare_tables used in console mode while debugging +from camelot.utils import compare_tables # noqa from .data import * From d663dd18fd6e4d65e5981f2fec4f0e1d7eeeaef4 Mon Sep 17 00:00:00 2001 From: Frh Date: Thu, 30 Apr 2020 16:54:37 -0700 Subject: [PATCH 54/60] Fix plotting unit tests Enforce order of textline plotting for unit test consistency in 3.6. Create wrapper around camelot plot that enforces backwards consistency with older versions of matplotlib. --- .gitignore | 1 + camelot/parsers/hybrid.py | 2 +- camelot/plotting.py | 6 +- .../test_hybrid_contour_plot.png | Bin 105048 -> 105070 bytes .../test_hybrid_table_areas_text_plot.png | Bin 90041 -> 89989 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 91726 -> 91718 bytes .../test_hybrid_textedge_plot.png | Bin 103784 -> 104498 bytes tests/test_plotting.py | 58 +++++++----------- 8 files changed, 30 insertions(+), 37 deletions(-) diff --git a/.gitignore b/.gitignore index 3af88c1..da5b19a 100644 --- a/.gitignore +++ b/.gitignore @@ -7,6 +7,7 @@ dist/ prof/ *.egg-info/ .eggs/ +.tox/ .coverage coverage.xml diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 2488ed3..b80afc1 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -333,7 +333,7 @@ class TextNetworks(TextAlignments): key=lambda textline: ( self._textline_to_alignments[textline].alignment_score(), - -textline.y0 + -textline.y0, -textline.x0 ), default=None ) diff --git a/camelot/plotting.py b/camelot/plotting.py index e390464..7f009be 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -326,7 +326,11 @@ class PlotMethods(): alpha=0.5 ) ) - for tl, alignments in network._textline_to_alignments.items(): + for tl in sorted( + network._textline_to_alignments.keys(), + key=lambda textline: (-textline.y0, textline.x0) + ): + alignments = network._textline_to_alignments[tl] coords = get_textline_coords(tl) alignment_id_h, tls_h = alignments.max_v() alignment_id_v, tls_v = alignments.max_h() diff --git a/tests/files/baseline_plots/test_hybrid_contour_plot.png b/tests/files/baseline_plots/test_hybrid_contour_plot.png index 1b40ee918267fb52cd161c2055a25c0eecd9fd6f..10b3b1de1a812768533fbfd329be8d2d3d683d9b 100644 GIT binary patch delta 67090 zcmY&=1yodB*fj_UNP~jXD5aE?NQZQ)NT-sLO7|rcM7q1AySqfXL1KgfMx{H49{3OM 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Hybrid --- camelot/core.py | 2 +- camelot/parsers/base.py | 59 ++++++++++++++++++++++++++++++++++++++ camelot/parsers/hybrid.py | 46 +++++++---------------------- camelot/parsers/lattice.py | 31 ++++---------------- camelot/parsers/stream.py | 41 +++++++------------------- 5 files changed, 87 insertions(+), 92 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 440b2c9..9921b95 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -136,7 +136,7 @@ class TextEdge(TextAlignment): class TextAlignments(object): - """Defines a dict of text edges accross alignment references. + """Defines a dict of text edges across reference alignments. """ def __init__(self, alignment_names): diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 9e76c7b..e4b5071 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -169,3 +169,62 @@ class BaseParser(object): for r_idx, c_idx, text in indices: table.cells[r_idx][c_idx].text = text return pos_errors + + def extract_tables(self): + if self._document_has_no_text(): + return [] + + # Identify plausible areas within the doc where tables lie, + # populate table_bbox keys with these areas. + self._generate_table_bbox() + + _tables = [] + # sort tables based on y-coord + for table_idx, bbox in enumerate( + sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) + ): + cols, rows, v_s, h_s = self._generate_columns_and_rows( + bbox, + table_idx + ) + table = self._generate_table( + table_idx, cols, rows, v_s=v_s, h_s=h_s) + table._bbox = bbox + _tables.append(table) + + return _tables + + +class TextBaseParser(BaseParser): + """Base class for all text parsers. + """ + + def __init__( + self, + parser_id, + table_regions=None, + table_areas=None, + columns=None, + flag_size=False, + split_text=False, + strip_text="", + edge_tol=50, + row_tol=2, + column_tol=0, + **kwargs + ): + super().__init__( + "stream", + table_regions=table_regions, + table_areas=table_areas, + split_text=split_text, + strip_text=strip_text, + flag_size=flag_size, + ) + self.columns = columns + self._validate_columns() + self.edge_tol = edge_tol + self.row_tol = row_tol + self.column_tol = column_tol + + self.textedges = None diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 869e2d2..898cfc0 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -7,7 +7,7 @@ import numpy as np import copy import warnings -from .base import BaseParser +from .base import TextBaseParser from ..core import ( TextAlignments, ALL_ALIGNMENTS, @@ -257,7 +257,7 @@ class TextNetworks(TextAlignments): for align_id in self._textedges: edge_array = self._textedges[align_id] gaps = [] - vertical = align_id in ["left", "right", "middle"] + vertical = align_id in HORIZONTAL_ALIGNMENTS sort_function = (lambda tl: tl.y0) \ if vertical \ else (lambda tl: tl.x0) @@ -491,7 +491,7 @@ class TextNetworks(TextAlignments): ) -class Hybrid(BaseParser): +class Hybrid(TextBaseParser): """Hybrid method of parsing looks for spaces between text to parse the table. @@ -548,18 +548,14 @@ class Hybrid(BaseParser): "hybrid", table_regions=table_regions, table_areas=table_areas, + columns=columns, + flag_size=flag_size, split_text=split_text, strip_text=strip_text, - flag_size=flag_size, - debug=debug + edge_tol=edge_tol, + row_tol=row_tol, + column_tol=column_tol, ) - self.columns = columns - self.textedges = None - - self._validate_columns() - self.edge_tol = edge_tol - self.row_tol = row_tol - self.column_tol = column_tol # FRHTODO: Check if needed, refactor with Stream @staticmethod @@ -832,10 +828,10 @@ class Hybrid(BaseParser): )) # FRHTODO: Check is needed, refactor with Stream - def _generate_columns_and_rows(self, table_idx, tk): + def _generate_columns_and_rows(self, bbox, table_idx): # select elements which lie within table_bbox self.t_bbox = text_in_bbox_per_axis( - tk, + bbox, self.horizontal_text, self.vertical_text ) @@ -908,7 +904,7 @@ class Hybrid(BaseParser): cols = self._add_columns(cols, inner_text, self.row_tol) cols = self._join_columns(cols, text_x_min, text_x_max) - return cols, rows + return cols, rows, None, None # FRHTODO: Check is needed, refactor with Stream def _generate_table(self, table_idx, cols, rows, **kwargs): @@ -922,23 +918,3 @@ class Hybrid(BaseParser): table._textedges = self.textedges return table - - def extract_tables(self): - if self._document_has_no_text(): - return [] - - # Identify plausible areas within the doc where tables lie, - # populate table_bbox keys with these areas. - self._generate_table_bbox() - - _tables = [] - # sort tables based on y-coord - for table_idx, bbox in enumerate( - sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) - ): - cols, rows = self._generate_columns_and_rows(table_idx, bbox) - table = self._generate_table(table_idx, cols, rows) - table._bbox = bbox - _tables.append(table) - - return _tables diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 2e62846..d6ba65d 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -252,21 +252,21 @@ class Lattice(BaseParser): table_bbox, vertical_segments, horizontal_segments, pdf_scalers ) - def _generate_columns_and_rows(self, tk): + def _generate_columns_and_rows(self, bbox, table_idx): # select elements which lie within table_bbox v_s, h_s = segments_in_bbox( - tk, self.vertical_segments, self.horizontal_segments + bbox, self.vertical_segments, self.horizontal_segments ) self.t_bbox = text_in_bbox_per_axis( - tk, + bbox, self.horizontal_text, self.vertical_text ) - cols, rows = zip(*self.table_bbox[tk]) + cols, rows = zip(*self.table_bbox[bbox]) cols, rows = list(cols), list(rows) - cols.extend([tk[0], tk[2]]) - rows.extend([tk[1], tk[3]]) + cols.extend([bbox[0], bbox[2]]) + rows.extend([bbox[1], bbox[3]]) # sort horizontal and vertical segments cols = merge_close_lines(sorted(cols), line_tol=self.line_tol) rows = merge_close_lines( @@ -302,22 +302,3 @@ class Lattice(BaseParser): table._textedges = None return table - - def extract_tables(self): - if self._document_has_no_text(): - return [] - - self._generate_table_bbox() - - _tables = [] - # sort tables based on y-coord - for table_idx, tk in enumerate( - sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) - ): - cols, rows, v_s, h_s = self._generate_columns_and_rows(tk) - table = self._generate_table( - table_idx, cols, rows, v_s=v_s, h_s=h_s) - table._bbox = tk - _tables.append(table) - - return _tables diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 08aaa41..91e2fde 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -5,7 +5,7 @@ import warnings import numpy as np -from .base import BaseParser +from .base import TextBaseParser from ..core import TextEdges from ..utils import ( bbox_from_str, @@ -15,7 +15,7 @@ from ..utils import ( ) -class Stream(BaseParser): +class Stream(TextBaseParser): """Stream method of parsing looks for spaces between text to parse the table. @@ -71,15 +71,14 @@ class Stream(BaseParser): "stream", table_regions=table_regions, table_areas=table_areas, + columns=columns, + flag_size=flag_size, split_text=split_text, strip_text=strip_text, - flag_size=flag_size, + edge_tol=edge_tol, + row_tol=row_tol, + column_tol=column_tol, ) - self.columns = columns - self._validate_columns() - self.edge_tol = edge_tol - self.row_tol = row_tol - self.column_tol = column_tol @staticmethod def _group_rows(text, row_tol=2): @@ -302,10 +301,10 @@ class Stream(BaseParser): table_bbox[bbox_from_str(area_str)] = None self.table_bbox = table_bbox - def _generate_columns_and_rows(self, table_idx, tk): + def _generate_columns_and_rows(self, bbox, table_idx): # select elements which lie within table_bbox self.t_bbox = text_in_bbox_per_axis( - tk, + bbox, self.horizontal_text, self.vertical_text ) @@ -378,7 +377,7 @@ class Stream(BaseParser): cols = self._add_columns(cols, inner_text, self.row_tol) cols = self._join_columns(cols, text_x_min, text_x_max) - return cols, rows + return cols, rows, None, None def _generate_table(self, table_idx, cols, rows, **kwargs): table = self._initialize_new_table(table_idx, cols, rows) @@ -391,23 +390,3 @@ class Stream(BaseParser): table._textedges = self.textedges return table - - def extract_tables(self): - if self._document_has_no_text(): - return [] - - # Identify plausible areas within the doc where tables lie, - # populate table_bbox keys with these areas. - self._generate_table_bbox() - - _tables = [] - # sort tables based on y-coord - for table_idx, bbox in enumerate( - sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) - ): - cols, rows = self._generate_columns_and_rows(table_idx, bbox) - table = self._generate_table(table_idx, cols, rows) - table._bbox = bbox - _tables.append(table) - - return _tables From bb842f21b969b05312a307f20d87d48c8c378805 Mon Sep 17 00:00:00 2001 From: Frh Date: Fri, 24 Apr 2020 21:11:31 -0700 Subject: [PATCH 38/60] Further refactoring --- camelot/core.py | 73 ++-- camelot/parsers/base.py | 315 +++++++++++++- camelot/parsers/hybrid.py | 400 +++--------------- camelot/parsers/lattice.py | 18 +- camelot/parsers/stream.py | 281 +----------- camelot/plotting.py | 42 +- .../test_hybrid_contour_plot.png | Bin 107595 -> 107612 bytes .../test_hybrid_textedge_plot.png | Bin 201998 -> 196972 bytes 8 files changed, 430 insertions(+), 699 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 9921b95..f729e46 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -15,8 +15,6 @@ from .utils import ( get_index_closest_point, get_textline_coords, build_file_path_in_temp_dir, - compute_accuracy, - compute_whitespace, export_pdf_as_png ) @@ -141,9 +139,9 @@ class TextAlignments(object): def __init__(self, alignment_names): # For each possible alignment, list of tuples coordinate/textlines - self._textedges = {} + self._text_alignments = {} for alignment_name in alignment_names: - self._textedges[alignment_name] = [] + self._text_alignments[alignment_name] = [] @staticmethod def _create_new_text_alignment(coord, textline, align): @@ -156,12 +154,12 @@ class TextAlignments(object): """Updates an existing text edge in the current dict. """ coords = get_textline_coords(textline) - for alignment, edge_array in self._textedges.items(): - coord = coords[alignment] + for alignment_id, alignment_array in self._text_alignments.items(): + coord = coords[alignment_id] # Find the index of the closest existing element (or 0 if none) idx_closest = get_index_closest_point( - coord, edge_array, fn=lambda x: x.coord + coord, alignment_array, fn=lambda x: x.coord ) # Check if the edges before/after are close enough @@ -169,17 +167,25 @@ class TextAlignments(object): idx_insert = None if idx_closest is None: idx_insert = 0 - elif np.isclose(edge_array[idx_closest].coord, coord, atol=0.5): - self._update_edge(edge_array[idx_closest], coord, textline) - elif edge_array[idx_closest].coord < coord: + elif np.isclose( + alignment_array[idx_closest].coord, + coord, + atol=0.5 + ): + self._update_edge( + alignment_array[idx_closest], + coord, + textline + ) + elif alignment_array[idx_closest].coord < coord: idx_insert = idx_closest + 1 else: idx_insert = idx_closest if idx_insert is not None: - new_edge = self._create_new_text_alignment( - coord, textline, alignment + new_alignment = self._create_new_text_alignment( + coord, textline, alignment_id ) - edge_array.insert(idx_insert, new_edge) + alignment_array.insert(idx_insert, new_alignment) class TextEdges(TextAlignments): @@ -201,7 +207,7 @@ class TextEdges(TextAlignments): """Adds a new text edge to the current dict. """ te = self._create_new_text_alignment(coord, textline, align) - self._textedges[align].append(te) + self._text_alignments[align].append(te) def _update_edge(self, edge, coord, textline): edge.update_coords(coord, textline, self.edge_tol) @@ -221,15 +227,15 @@ class TextEdges(TextAlignments): """ intersections_sum = { "left": sum( - len(te.textlines) for te in self._textedges["left"] + len(te.textlines) for te in self._text_alignments["left"] if te.is_valid ), "right": sum( - len(te.textlines) for te in self._textedges["right"] + len(te.textlines) for te in self._text_alignments["right"] if te.is_valid ), "middle": sum( - len(te.textlines) for te in self._textedges["middle"] + len(te.textlines) for te in self._text_alignments["middle"] if te.is_valid ), } @@ -240,7 +246,7 @@ class TextEdges(TextAlignments): relevant_align = max(intersections_sum.items(), key=itemgetter(1))[0] return list(filter( lambda te: te.is_valid, - self._textedges[relevant_align]) + self._text_alignments[relevant_align]) ) def get_table_areas(self, textlines, relevant_textedges): @@ -443,9 +449,9 @@ class Table(object): self.filename = None self.order = None self.page = None - self.flavor = None # Flavor of the parser that generated the table - self.pdf_size = None # Dimensions of the original PDF page - self.debug_info = None # Field holding debug data + self.flavor = None # Flavor of the parser used + self.pdf_size = None # Dimensions of the original PDF page + self.parse_details = None # Field holding debug data self._image = None self._image_path = None # Temporary file to hold an image of the pdf @@ -485,31 +491,6 @@ class Table(object): } return report - def record_parse_metadata(self, parser): - """Record data about the origin of the table - """ - self.flavor = parser.id - self.filename = parser.filename - self.debug_info = parser.debug_info - pos_errors = parser.compute_parse_errors(self) - self.accuracy = compute_accuracy([[100, pos_errors]]) - - if parser.copy_text is not None: - self.copy_spanning_text(parser.copy_text) - - data = self.data - self.df = pd.DataFrame(data) - self.shape = self.df.shape - - self.whitespace = compute_whitespace(data) - self.pdf_size = (parser.pdf_width, parser.pdf_height) - - _text = [] - _text.extend( - [(t.x0, t.y0, t.x1, t.y1) for t in parser.horizontal_text]) - _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in parser.vertical_text]) - self._text = _text - def get_pdf_image(self): """Compute pdf image and cache it """ diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index e4b5071..6816b62 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -3,11 +3,18 @@ import os import warnings +import numpy as np +import pandas as pd + from ..utils import ( + bbox_from_str, + bbox_from_textlines, + compute_accuracy, + compute_whitespace, get_text_objects, get_table_index, text_in_bbox, - bbox_from_str, + text_in_bbox_per_axis, ) from ..core import Table @@ -42,7 +49,7 @@ class BaseParser(object): self.t_bbox = None # For plotting details of parsing algorithms - self.debug_info = {} if debug else None + self.parse_details = {} if debug else None def prepare_page_parse(self, filename, layout, dimensions, page_idx, layout_kwargs): @@ -63,9 +70,9 @@ class BaseParser(object): self.pdf_width, self.pdf_height = self.dimensions self.rootname, __ = os.path.splitext(self.filename) - if self.debug_info is not None: - self.debug_info["table_regions"] = self.table_regions - self.debug_info["table_areas"] = self.table_areas + if self.parse_details is not None: + self.parse_details["table_regions"] = self.table_regions + self.parse_details["table_areas"] = self.table_areas def _apply_regions_filter(self, textlines): """If regions have been specified, filter textlines to these regions. @@ -194,6 +201,31 @@ class BaseParser(object): return _tables + def record_parse_metadata(self, table): + """Record data about the origin of the table + """ + table.flavor = self.id + table.filename = self.filename + table.parse_details = self.parse_details + pos_errors = self.compute_parse_errors(table) + table.accuracy = compute_accuracy([[100, pos_errors]]) + + if self.copy_text is not None: + table.copy_spanning_text(self.copy_text) + + data = table.data + table.df = pd.DataFrame(data) + table.shape = table.df.shape + + table.whitespace = compute_whitespace(data) + table.pdf_size = (self.pdf_width, self.pdf_height) + + _text = [] + _text.extend( + [(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) + _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) + table._text = _text + class TextBaseParser(BaseParser): """Base class for all text parsers. @@ -211,15 +243,17 @@ class TextBaseParser(BaseParser): edge_tol=50, row_tol=2, column_tol=0, + debug=False, **kwargs ): super().__init__( - "stream", + parser_id, table_regions=table_regions, table_areas=table_areas, split_text=split_text, strip_text=strip_text, flag_size=flag_size, + debug=debug, ) self.columns = columns self._validate_columns() @@ -227,4 +261,271 @@ class TextBaseParser(BaseParser): self.row_tol = row_tol self.column_tol = column_tol - self.textedges = None + @staticmethod + def _group_rows(text, row_tol=2): + """Groups PDFMiner text objects into rows vertically + within a tolerance. + + Parameters + ---------- + text : list + List of PDFMiner text objects. + row_tol : int, optional (default: 2) + + Returns + ------- + rows : list + Two-dimensional list of text objects grouped into rows. + + """ + row_y = None + rows = [] + temp = [] + non_empty_text = [t for t in text if t.get_text().strip()] + for t in non_empty_text: + # is checking for upright necessary? + # if t.get_text().strip() and all([obj.upright \ + # for obj in t._objs + # if type(obj) is LTChar]): + if row_y is None: + row_y = t.y0 + elif not np.isclose(row_y, t.y0, atol=row_tol): + rows.append(sorted(temp, key=lambda t: t.x0)) + temp = [] + # We update the row's bottom as we go, to be forgiving if there + # is a gradual change across multiple columns. + row_y = t.y0 + temp.append(t) + rows.append(sorted(temp, key=lambda t: t.x0)) + return rows + + @staticmethod + def _merge_columns(l, column_tol=0): + """Merges column boundaries horizontally if they overlap + or lie within a tolerance. + + Parameters + ---------- + l : list + List of column x-coordinate tuples. + column_tol : int, optional (default: 0) + + Returns + ------- + merged : list + List of merged column x-coordinate tuples. + + """ + merged = [] + for higher in l: + if not merged: + merged.append(higher) + else: + lower = merged[-1] + if column_tol >= 0: + if higher[0] <= lower[1] or np.isclose( + higher[0], lower[1], atol=column_tol + ): + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + elif column_tol < 0: + if higher[0] <= lower[1]: + if np.isclose(higher[0], lower[1], + atol=abs(column_tol)): + merged.append(higher) + else: + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + return merged + + @staticmethod + def _join_rows(rows_grouped, text_y_max, text_y_min): + """Makes row coordinates continuous. For the row to "touch" + we split the existing gap between them in half. + + Parameters + ---------- + rows_grouped : list + Two-dimensional list of text objects grouped into rows. + text_y_max : int + text_y_min : int + + Returns + ------- + rows : list + List of continuous row y-coordinate tuples. + + """ + row_boundaries = [ + [ + max(t.y1 for t in r), + min(t.y0 for t in r) + ] + for r in rows_grouped + ] + for i in range(0, len(row_boundaries)-1): + top_row = row_boundaries[i] + bottom_row = row_boundaries[i+1] + top_row[1] = bottom_row[0] = (top_row[1] + bottom_row[0]) / 2 + row_boundaries[0][0] = text_y_max + row_boundaries[-1][1] = text_y_min + return row_boundaries + + @staticmethod + def _add_columns(cols, text, row_tol): + """Adds columns to existing list by taking into account + the text that lies outside the current column x-coordinates. + + Parameters + ---------- + cols : list + List of column x-coordinate tuples. + text : list + List of PDFMiner text objects. + ytol : int + + Returns + ------- + cols : list + Updated list of column x-coordinate tuples. + + """ + if text: + text = TextBaseParser._group_rows(text, row_tol=row_tol) + elements = [len(r) for r in text] + new_cols = [ + (t.x0, t.x1) + for r in text if len(r) == max(elements) + for t in r + ] + cols.extend(TextBaseParser._merge_columns(sorted(new_cols))) + return cols + + @staticmethod + def _join_columns(cols, text_x_min, text_x_max): + """Makes column coordinates continuous. + + Parameters + ---------- + cols : list + List of column x-coordinate tuples. + text_x_min : int + text_y_max : int + + Returns + ------- + cols : list + Updated list of column x-coordinate tuples. + + """ + cols = sorted(cols) + cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + return cols + + def _validate_columns(self): + if self.table_areas is not None and self.columns is not None: + if len(self.table_areas) != len(self.columns): + raise ValueError("Length of table_areas and columns" + " should be equal") + + def _generate_columns_and_rows(self, bbox, table_idx): + # select elements which lie within table_bbox + self.t_bbox = text_in_bbox_per_axis( + bbox, + self.horizontal_text, + self.vertical_text + ) + + text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( + self.t_bbox["horizontal"] + self.t_bbox["vertical"] + ) + rows_grouped = self._group_rows( + self.t_bbox["horizontal"], row_tol=self.row_tol) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) + elements = [len(r) for r in rows_grouped] + + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + cols = self.columns[table_idx].split(",") + cols = [float(c) for c in cols] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + else: + # calculate mode of the list of number of elements in + # each row to guess the number of columns + ncols = max(set(elements), key=elements.count) + if ncols == 1: + # if mode is 1, the page usually contains not tables + # but there can be cases where the list can be skewed, + # try to remove all 1s from list in this case and + # see if the list contains elements, if yes, then use + # the mode after removing 1s + elements = list(filter(lambda x: x != 1, elements)) + if elements: + ncols = max(set(elements), key=elements.count) + else: + warnings.warn( + "No tables found in table area {}" + .format(table_idx + 1) + ) + cols = [ + (t.x0, t.x1) + for r in rows_grouped + if len(r) == ncols + for t in r + ] + cols = self._merge_columns( + sorted(cols), + column_tol=self.column_tol + ) + inner_text = [] + for i in range(1, len(cols)): + left = cols[i - 1][1] + right = cols[i][0] + inner_text.extend( + [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > left and t.x1 < right + ] + ) + outer_text = [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > cols[-1][1] or t.x1 < cols[0][0] + ] + inner_text.extend(outer_text) + cols = self._add_columns(cols, inner_text, self.row_tol) + cols = self._join_columns(cols, text_x_min, text_x_max) + + return cols, rows, None, None + + def record_parse_metadata(self, table): + """Record data about the origin of the table + """ + super().record_parse_metadata(table) + # for plotting + table._bbox = self.table_bbox + table._segments = None + + def _generate_table(self, table_idx, cols, rows, **kwargs): + table = self._initialize_new_table(table_idx, cols, rows) + table = table.set_all_edges() + self.record_parse_metadata(table) + + return table diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 898cfc0..bd98aed 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -5,7 +5,6 @@ from __future__ import division import numpy as np import copy -import warnings from .base import TextBaseParser from ..core import ( @@ -17,7 +16,6 @@ from ..core import ( from ..utils import ( bbox_from_str, text_in_bbox, - text_in_bbox_per_axis, bbox_from_textlines, distance_tl_to_bbox, find_columns_coordinates @@ -142,11 +140,11 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): class AlignmentCounter(object): """ - Represents all textlines aligned with a textline for each alignment. + For a given textline, represent all other textlines aligned with it. - A textline can be vertically aligned with others by having matching left, - right, or middle edge, and horizontally aligned by having matching top, - bottom, or center edge. + A textline can be vertically aligned with others if their bbox match on + left, right, or middle coord, and horizontally aligned if they match top, + bottom, or center coord. """ @@ -210,15 +208,15 @@ class AlignmentCounter(object): class TextNetworks(TextAlignments): - """Text elements connected via both vertical (top, bottom, middle) and - horizontal (left, right, and middle) alignments found on the PDF page. + """Text elements connected by vertical AND horizontal alignments. + The alignment dict has six keys based on the hor/vert alignments, and each key's value is a list of camelot.core.TextAlignment objects. """ def __init__(self): super().__init__(ALL_ALIGNMENTS) - # For each textline, dictionary "edge type" to + # For each textline, dictionary "alignment type" to # "number of textlines aligned" self._textlines_alignments = {} @@ -226,10 +224,10 @@ class TextNetworks(TextAlignments): edge.register_aligned_textline(textline, coord) def _register_all_text_lines(self, textlines): - """Add all textlines to our edge repository to + """Add all textlines to our network repository to identify alignments. """ - # Identify all the edge alignments + # Identify all the alignments for tl in textlines: if len(tl.get_text().strip()) > 0: self._register_textline(tl) @@ -237,7 +235,7 @@ class TextNetworks(TextAlignments): def _compute_alignment_counts(self): """Build a dictionary textline -> alignment object. """ - for align_id, textedges in self._textedges.items(): + for align_id, textedges in self._text_alignments.items(): for textedge in textedges: for textline in textedge.textlines: alignments = self._textlines_alignments.get( @@ -254,8 +252,8 @@ class TextNetworks(TextAlignments): the core table. """ h_gaps, v_gaps = [], [] - for align_id in self._textedges: - edge_array = self._textedges[align_id] + for align_id in self._text_alignments: + edge_array = self._text_alignments[align_id] gaps = [] vertical = align_id in HORIZONTAL_ALIGNMENTS sort_function = (lambda tl: tl.y0) \ @@ -299,7 +297,7 @@ class TextNetworks(TextAlignments): removed_singletons = True while removed_singletons: removed_singletons = False - for alignment_id, textalignments in self._textedges.items(): + for alignment_id, textalignments in self._text_alignments.items(): # For each alignment edge, remove items if they are singletons # either horizontally or vertically for ta in textalignments: @@ -313,7 +311,7 @@ class TextNetworks(TextAlignments): self._textlines_alignments = {} self._compute_alignment_counts() - def _most_connected_textline(self): + def most_connected_textline(self): """ Retrieve the textline that is most connected across vertical and horizontal axis. @@ -340,7 +338,7 @@ class TextNetworks(TextAlignments): # alignments across horizontal and vertical axis. # It will serve as a reference axis along which to collect the average # spacing between rows/cols. - most_aligned_tl = self._most_connected_textline() + most_aligned_tl = self.most_connected_textline() if most_aligned_tl is None: return None @@ -378,7 +376,7 @@ class TextNetworks(TextAlignments): ) return gaps_hv - def _build_bbox_candidate(self, gaps_hv, debug_info=None): + def _build_bbox_candidate(self, gaps_hv, parse_details=None): """ Seed the process with the textline with the highest alignment score, then expand the bbox with textlines within threshold. @@ -387,7 +385,7 @@ class TextNetworks(TextAlignments): gaps_hv : tuple The maximum distance allowed to consider surrounding lines/columns as part of the same table. - debug_info : array (optional) + parse_details : array (optional) Optional parameter array, in which to store extra information to help later visualization of the table creation. """ @@ -396,23 +394,23 @@ class TextNetworks(TextAlignments): # It will serve both as a starting point for the table boundary # search, and as a way to estimate the average spacing between # rows/cols. - most_aligned_tl = self._most_connected_textline() + most_aligned_tl = self.most_connected_textline() # Calculate the 75th percentile of the horizontal/vertical # gaps between textlines. Use this as a reference for a threshold # to not exceed while looking for table boundaries. max_h_gap, max_v_gap = gaps_hv[0], gaps_hv[1] - if debug_info is not None: + if parse_details is not None: # Store debug info - debug_info_search = { + parse_details_search = { "max_h_gap": max_h_gap, "max_v_gap": max_v_gap, "iterations": [] } - debug_info.append(debug_info_search) + parse_details.append(parse_details_search) else: - debug_info_search = None + parse_details_search = None MINIMUM_TEXTLINES_IN_TABLE = 6 bbox = (most_aligned_tl.x0, most_aligned_tl.y0, @@ -426,9 +424,9 @@ class TextNetworks(TextAlignments): tls_in_bbox = [most_aligned_tl] last_bbox = None while last_bbox != bbox: - if debug_info_search is not None: + if parse_details_search is not None: # Store debug info - debug_info_search["iterations"].append(bbox) + parse_details_search["iterations"].append(bbox) last_bbox = bbox # Go through all remaining textlines, expand our bbox @@ -461,35 +459,6 @@ class TextNetworks(TextAlignments): self._register_all_text_lines(textlines) self._compute_alignment_counts() - def plot_alignments(self, ax): - """Displays a visualization of the alignments as currently computed. - """ - # FRHTODO: This is too busy and doesn't plot lines - most_aligned_tl = sorted( - self._textlines_alignments.keys(), - key=lambda textline: - self._textlines_alignments[textline].alignment_score(), - reverse=True - )[0] - - ax.add_patch( - patches.Rectangle( - (most_aligned_tl.x0, most_aligned_tl.y0), - most_aligned_tl.x1 - most_aligned_tl.x0, - most_aligned_tl.y1 - most_aligned_tl.y0, - color="red", - alpha=0.5 - ) - ) - for tl, alignments in self._textlines_alignments.items(): - ax.text( - tl.x0 - 5, - tl.y0 - 5, - f"{alignments.max_h_count()}x{alignments.max_v_count()}", - fontsize=5, - color="black" - ) - class Hybrid(TextBaseParser): """Hybrid method of parsing looks for spaces between text @@ -555,190 +524,9 @@ class Hybrid(TextBaseParser): edge_tol=edge_tol, row_tol=row_tol, column_tol=column_tol, + debug=debug, ) - # FRHTODO: Check if needed, refactor with Stream - @staticmethod - def _group_rows(text, row_tol=2): - """Groups PDFMiner text objects into rows vertically - within a tolerance. - - Parameters - ---------- - text : list - List of PDFMiner text objects. - row_tol : int, optional (default: 2) - - Returns - ------- - rows : list - Two-dimensional list of text objects grouped into rows. - - """ - row_y = None - rows = [] - temp = [] - non_empty_text = [t for t in text if t.get_text().strip()] - for t in non_empty_text: - # is checking for upright necessary? - # if t.get_text().strip() and all([obj.upright \ - # for obj in t._objs - # if type(obj) is LTChar]): - if row_y is None: - row_y = t.y0 - elif not np.isclose(row_y, t.y0, atol=row_tol): - rows.append(sorted(temp, key=lambda t: t.x0)) - temp = [] - # We update the row's bottom as we go, to be forgiving if there - # is a gradual change across multiple columns. - row_y = t.y0 - temp.append(t) - rows.append(sorted(temp, key=lambda t: t.x0)) - return rows - - # FRHTODO: Check if needed, refactor with Stream - @staticmethod - def _merge_columns(l, column_tol=0): - """Merges column boundaries horizontally if they overlap - or lie within a tolerance. - - Parameters - ---------- - l : list - List of column x-coordinate tuples. - column_tol : int, optional (default: 0) - - Returns - ------- - merged : list - List of merged column x-coordinate tuples. - - """ - merged = [] - for higher in l: - if not merged: - merged.append(higher) - else: - lower = merged[-1] - if column_tol >= 0: - if higher[0] <= lower[1] or np.isclose( - higher[0], lower[1], atol=column_tol - ): - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - elif column_tol < 0: - if higher[0] <= lower[1]: - if np.isclose(higher[0], lower[1], - atol=abs(column_tol)): - merged.append(higher) - else: - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - return merged - - # FRHTODO: Check if needed, refactor with Stream - @staticmethod - def _join_rows(rows_grouped, text_y_max, text_y_min): - """Makes row coordinates continuous. For the row to "touch" - we split the existing gap between them in half. - - Parameters - ---------- - rows_grouped : list - Two-dimensional list of text objects grouped into rows. - text_y_max : int - text_y_min : int - - Returns - ------- - rows : list - List of continuous row y-coordinate tuples. - - """ - row_boundaries = [ - [ - max(t.y1 for t in r), - min(t.y0 for t in r) - ] - for r in rows_grouped - ] - for i in range(0, len(row_boundaries)-1): - top_row = row_boundaries[i] - bottom_row = row_boundaries[i+1] - top_row[1] = bottom_row[0] = (top_row[1] + bottom_row[0]) / 2 - row_boundaries[0][0] = text_y_max - row_boundaries[-1][1] = text_y_min - return row_boundaries - - # FRHTODO: Check if needed, refactor with Stream - @staticmethod - def _add_columns(cols, text, row_tol): - """Add columns to existing list by taking into account - the text that lies outside the current column x-coordinates. - - Parameters - ---------- - cols : list - List of column x-coordinate tuples. - text : list - List of PDFMiner text objects. - ytol : int - - Returns - ------- - cols : list - Updated list of column x-coordinate tuples. - - """ - if text: - text = Hybrid._group_rows(text, row_tol=row_tol) - elements = [len(r) for r in text] - new_cols = [ - (t.x0, t.x1) - for r in text if len(r) == max(elements) - for t in r - ] - cols.extend(Hybrid._merge_columns(sorted(new_cols))) - return cols - - # FRHTODO: Check if needed, refactor with Stream - @staticmethod - def _join_columns(cols, text_x_min, text_x_max): - """Makes column coordinates continuous. - - Parameters - ---------- - cols : list - List of column x-coordinate tuples. - text_x_min : int - text_y_max : int - - Returns - ------- - cols : list - Updated list of column x-coordinate tuples. - - """ - cols = sorted(cols) - cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - return cols - - # FRHTODO: Check is needed, refactor with Stream - def _validate_columns(self): - if self.table_areas is not None and self.columns is not None: - if len(self.table_areas) != len(self.columns): - raise ValueError("Length of table_areas and columns" - " should be equal") - def _generate_table_bbox(self): if self.table_areas is not None: table_bbox = {} @@ -756,25 +544,21 @@ class Hybrid(TextBaseParser): textlines_processed = {} self.table_bbox = {} - if self.debug_info is not None: - debug_info_edges_searches = [] - self.debug_info["edges_searches"] = debug_info_edges_searches - debug_info_bboxes_searches = [] - self.debug_info["bboxes_searches"] = debug_info_bboxes_searches + if self.parse_details is not None: + parse_details_network_searches = [] + self.parse_details["network_searches"] = \ + parse_details_network_searches + parse_details_bbox_searches = [] + self.parse_details["bbox_searches"] = parse_details_bbox_searches else: - debug_info_edges_searches = None - debug_info_bboxes_searches = None + parse_details_network_searches = None + parse_details_bbox_searches = None while True: - self.textedges = TextNetworks() - self.textedges.generate(textlines) - self.textedges._remove_unconnected_edges() - if debug_info_edges_searches is not None: - # Preserve the current edge calculation for display debugging - debug_info_edges_searches.append( - copy.deepcopy(self.textedges) - ) - gaps_hv = self.textedges._compute_plausible_gaps() + text_network = TextNetworks() + text_network.generate(textlines) + text_network._remove_unconnected_edges() + gaps_hv = text_network._compute_plausible_gaps() if gaps_hv is None: return None # edge_tol instructions override the calculated vertical gap @@ -782,13 +566,19 @@ class Hybrid(TextBaseParser): gaps_hv[0], gaps_hv[1] if self.edge_tol is None else self.edge_tol ) - bbox = self.textedges._build_bbox_candidate( + bbox = text_network._build_bbox_candidate( edge_tol_hv, - debug_info=debug_info_bboxes_searches + parse_details=parse_details_bbox_searches ) if bbox is None: break + if parse_details_network_searches is not None: + # Preserve the current edge calculation for display debugging + parse_details_network_searches.append( + copy.deepcopy(text_network) + ) + # Get all the textlines that are at least 50% in the box tls_in_bbox = text_in_bbox(bbox, textlines) @@ -808,10 +598,10 @@ class Hybrid(TextBaseParser): gaps_hv[1] ) - if self.debug_info is not None: - if "col_searches" not in self.debug_info: - self.debug_info["col_searches"] = [] - self.debug_info["col_searches"].append({ + if self.parse_details is not None: + if "col_searches" not in self.parse_details: + self.parse_details["col_searches"] = [] + self.parse_details["col_searches"].append({ "core_bbox": bbox, "cols_anchors": cols_anchors, "expanded_bbox": expanded_bbox @@ -826,95 +616,3 @@ class Hybrid(TextBaseParser): lambda tl: tl not in textlines_processed, textlines )) - - # FRHTODO: Check is needed, refactor with Stream - def _generate_columns_and_rows(self, bbox, table_idx): - # select elements which lie within table_bbox - self.t_bbox = text_in_bbox_per_axis( - bbox, - self.horizontal_text, - self.vertical_text - ) - - text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( - self.t_bbox["horizontal"] + self.t_bbox["vertical"] - ) - rows_grouped = self._group_rows( - self.t_bbox["horizontal"], row_tol=self.row_tol) - rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - elements = [len(r) for r in rows_grouped] - - if self.columns is not None and self.columns[table_idx] != "": - # user has to input boundary columns too - # take (0, pdf_width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_idx].split(",") - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - else: - # calculate mode of the list of number of elements in - # each row to guess the number of columns - ncols = max(set(elements), key=elements.count) - if ncols == 1: - # if mode is 1, the page usually contains not tables - # but there can be cases where the list can be skewed, - # try to remove all 1s from list in this case and - # see if the list contains elements, if yes, then use - # the mode after removing 1s - elements = list(filter(lambda x: x != 1, elements)) - if elements: - ncols = max(set(elements), key=elements.count) - else: - warnings.warn( - "No tables found in table area {}" - .format(table_idx + 1) - ) - cols = [ - (t.x0, t.x1) - for r in rows_grouped - if len(r) == ncols - for t in r - ] - cols = self._merge_columns( - sorted(cols), - column_tol=self.column_tol - ) - inner_text = [] - for i in range(1, len(cols)): - left = cols[i - 1][1] - right = cols[i][0] - inner_text.extend( - [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > left and t.x1 < right - ] - ) - outer_text = [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > cols[-1][1] or t.x1 < cols[0][0] - ] - inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, self.row_tol) - cols = self._join_columns(cols, text_x_min, text_x_max) - - return cols, rows, None, None - - # FRHTODO: Check is needed, refactor with Stream - def _generate_table(self, table_idx, cols, rows, **kwargs): - table = self._initialize_new_table(table_idx, cols, rows) - table = table.set_all_edges() - table.record_parse_metadata(self) - - # for plotting - table._bbox = self.table_bbox - table._segments = None - table._textedges = self.textedges - - return table diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index d6ba65d..b8b82ed 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -168,6 +168,15 @@ class Lattice(BaseParser): indices.append((r_idx, c_idx, text)) return indices + def record_parse_metadata(self, table): + """Record data about the origin of the table + """ + super().record_parse_metadata(table) + # for plotting + table._image = self.pdf_image # Reuse the image used for calc + table._bbox_unscaled = self.table_bbox_unscaled + table._segments = (self.vertical_segments, self.horizontal_segments) + def _generate_table_bbox(self): def scale_areas(areas): scaled_areas = [] @@ -293,12 +302,5 @@ class Lattice(BaseParser): # set spanning cells to True table = table.set_span() - table.record_parse_metadata(self) - - # for plotting - table._image = self.pdf_image # Reuse the image used for calc - table._bbox_unscaled = self.table_bbox_unscaled - table._segments = (self.vertical_segments, self.horizontal_segments) - table._textedges = None - + self.record_parse_metadata(table) return table diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 91e2fde..8b72e09 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -1,17 +1,12 @@ # -*- coding: utf-8 -*- from __future__ import division -import warnings - -import numpy as np from .base import TextBaseParser from ..core import TextEdges from ..utils import ( bbox_from_str, - bbox_from_textlines, - text_in_bbox, - text_in_bbox_per_axis + text_in_bbox ) @@ -79,182 +74,7 @@ class Stream(TextBaseParser): row_tol=row_tol, column_tol=column_tol, ) - - @staticmethod - def _group_rows(text, row_tol=2): - """Groups PDFMiner text objects into rows vertically - within a tolerance. - - Parameters - ---------- - text : list - List of PDFMiner text objects. - row_tol : int, optional (default: 2) - - Returns - ------- - rows : list - Two-dimensional list of text objects grouped into rows. - - """ - row_y = None - rows = [] - temp = [] - non_empty_text = [t for t in text if t.get_text().strip()] - for t in non_empty_text: - # is checking for upright necessary? - # if t.get_text().strip() and all([obj.upright \ - # for obj in t._objs - # if type(obj) is LTChar]): - if row_y is None: - row_y = t.y0 - elif not np.isclose(row_y, t.y0, atol=row_tol): - rows.append(sorted(temp, key=lambda t: t.x0)) - temp = [] - # We update the row's bottom as we go, to be forgiving if there - # is a gradual change across multiple columns. - row_y = t.y0 - temp.append(t) - rows.append(sorted(temp, key=lambda t: t.x0)) - return rows - - @staticmethod - def _merge_columns(l, column_tol=0): - """Merges column boundaries horizontally if they overlap - or lie within a tolerance. - - Parameters - ---------- - l : list - List of column x-coordinate tuples. - column_tol : int, optional (default: 0) - - Returns - ------- - merged : list - List of merged column x-coordinate tuples. - - """ - merged = [] - for higher in l: - if not merged: - merged.append(higher) - else: - lower = merged[-1] - if column_tol >= 0: - if higher[0] <= lower[1] or np.isclose( - higher[0], lower[1], atol=column_tol - ): - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - elif column_tol < 0: - if higher[0] <= lower[1]: - if np.isclose(higher[0], lower[1], - atol=abs(column_tol)): - merged.append(higher) - else: - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - return merged - - @staticmethod - def _join_rows(rows_grouped, text_y_max, text_y_min): - """Makes row coordinates continuous. For the row to "touch" - we split the existing gap between them in half. - - Parameters - ---------- - rows_grouped : list - Two-dimensional list of text objects grouped into rows. - text_y_max : int - text_y_min : int - - Returns - ------- - rows : list - List of continuous row y-coordinate tuples. - - """ - row_boundaries = [ - [ - max(t.y1 for t in r), - min(t.y0 for t in r) - ] - for r in rows_grouped - ] - for i in range(0, len(row_boundaries)-1): - top_row = row_boundaries[i] - bottom_row = row_boundaries[i+1] - top_row[1] = bottom_row[0] = (top_row[1] + bottom_row[0]) / 2 - row_boundaries[0][0] = text_y_max - row_boundaries[-1][1] = text_y_min - return row_boundaries - - @staticmethod - def _add_columns(cols, text, row_tol): - """Adds columns to existing list by taking into account - the text that lies outside the current column x-coordinates. - - Parameters - ---------- - cols : list - List of column x-coordinate tuples. - text : list - List of PDFMiner text objects. - ytol : int - - Returns - ------- - cols : list - Updated list of column x-coordinate tuples. - - """ - if text: - text = Stream._group_rows(text, row_tol=row_tol) - elements = [len(r) for r in text] - new_cols = [ - (t.x0, t.x1) - for r in text if len(r) == max(elements) - for t in r - ] - cols.extend(Stream._merge_columns(sorted(new_cols))) - return cols - - @staticmethod - def _join_columns(cols, text_x_min, text_x_max): - """Makes column coordinates continuous. - - Parameters - ---------- - cols : list - List of column x-coordinate tuples. - text_x_min : int - text_y_max : int - - Returns - ------- - cols : list - Updated list of column x-coordinate tuples. - - """ - cols = sorted(cols) - cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - return cols - - def _validate_columns(self): - if self.table_areas is not None and self.columns is not None: - if len(self.table_areas) != len(self.columns): - raise ValueError("Length of table_areas and columns" - " should be equal") + self.textedges = [] def _nurminen_table_detection(self, textlines): """A general implementation of the table detection algorithm @@ -281,8 +101,13 @@ class Stream(TextBaseParser): return table_bbox + def record_parse_metadata(self, table): + """Record data about the origin of the table + """ + super().record_parse_metadata(table) + table._textedges = self.textedges + def _generate_table_bbox(self): - self.textedges = [] if self.table_areas is None: hor_text = self.horizontal_text if self.table_regions is not None: @@ -300,93 +125,3 @@ class Stream(TextBaseParser): for area_str in self.table_areas: table_bbox[bbox_from_str(area_str)] = None self.table_bbox = table_bbox - - def _generate_columns_and_rows(self, bbox, table_idx): - # select elements which lie within table_bbox - self.t_bbox = text_in_bbox_per_axis( - bbox, - self.horizontal_text, - self.vertical_text - ) - - text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( - self.t_bbox["horizontal"] + self.t_bbox["vertical"] - ) - rows_grouped = self._group_rows( - self.t_bbox["horizontal"], row_tol=self.row_tol) - rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - elements = [len(r) for r in rows_grouped] - - if self.columns is not None and self.columns[table_idx] != "": - # user has to input boundary columns too - # take (0, pdf_width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_idx].split(",") - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - else: - # calculate mode of the list of number of elements in - # each row to guess the number of columns - ncols = max(set(elements), key=elements.count) - if ncols == 1: - # if mode is 1, the page usually contains not tables - # but there can be cases where the list can be skewed, - # try to remove all 1s from list in this case and - # see if the list contains elements, if yes, then use - # the mode after removing 1s - elements = list(filter(lambda x: x != 1, elements)) - if elements: - ncols = max(set(elements), key=elements.count) - else: - warnings.warn( - "No tables found in table area {}" - .format(table_idx + 1) - ) - cols = [ - (t.x0, t.x1) - for r in rows_grouped - if len(r) == ncols - for t in r - ] - cols = self._merge_columns( - sorted(cols), - column_tol=self.column_tol - ) - inner_text = [] - for i in range(1, len(cols)): - left = cols[i - 1][1] - right = cols[i][0] - inner_text.extend( - [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > left and t.x1 < right - ] - ) - outer_text = [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > cols[-1][1] or t.x1 < cols[0][0] - ] - inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, self.row_tol) - cols = self._join_columns(cols, text_x_min, text_x_max) - - return cols, rows, None, None - - def _generate_table(self, table_idx, cols, rows, **kwargs): - table = self._initialize_new_table(table_idx, cols, rows) - table = table.set_all_edges() - table.record_parse_metadata(self) - - # for plotting - table._bbox = self.table_bbox - table._segments = None - table._textedges = self.textedges - - return table diff --git a/camelot/plotting.py b/camelot/plotting.py index 2ae2713..a94c1bb 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -87,9 +87,9 @@ def draw_parse_constraints(table, ax): ax : matplotlib.axes.Axes """ - if table.debug_info: + if table.parse_details: # Display a bbox per region - for region_str in table.debug_info["table_regions"] or []: + for region_str in table.parse_details["table_regions"] or []: draw_labeled_bbox( ax, bbox_from_str(region_str), "region: ({region_str})".format(region_str=region_str), @@ -99,7 +99,7 @@ def draw_parse_constraints(table, ax): label_pos="bottom,right" ) # Display a bbox per area - for area_str in table.debug_info["table_areas"] or []: + for area_str in table.parse_details["table_areas"] or []: draw_labeled_bbox( ax, bbox_from_str(area_str), "area: ({area_str})".format(area_str=area_str), @@ -294,8 +294,27 @@ class PlotMethods(object): ax.set_ylim(min(ys) - 10, max(ys) + 10) if table.flavor == "hybrid": - # FRHTODO: Clean this up - table.debug_info["edges_searches"][0].plot_alignments(ax) + for text_network in table.parse_details["network_searches"]: + # FRHTODO: This is too busy and doesn't plot lines + most_connected_tl = text_network.most_connected_textline() + + ax.add_patch( + patches.Rectangle( + (most_connected_tl.x0, most_connected_tl.y0), + most_connected_tl.x1 - most_connected_tl.x0, + most_connected_tl.y1 - most_connected_tl.y0, + color="red", + alpha=0.5 + ) + ) + for tl, alignments in text_network._textlines_alignments.items(): + ax.text( + tl.x0 - 5, + tl.y0 - 5, + f"{alignments.max_h_count()}x{alignments.max_v_count()}", + fontsize=5, + color="black" + ) else: for te in table._textedges: ax.plot([te.coord, te.coord], [te.y0, te.y1]) @@ -372,10 +391,10 @@ class PlotMethods(object): draw_pdf(table, ax) draw_parse_constraints(table, ax) - if table.debug_info is None: + if table.parse_details is None: return fig - debug_info = table.debug_info - for box_id, bbox_search in enumerate(debug_info["bboxes_searches"]): + parse_details = table.parse_details + for box_id, bbox_search in enumerate(parse_details["bbox_searches"]): max_h_gap = bbox_search["max_h_gap"] max_v_gap = bbox_search["max_v_gap"] iterations = bbox_search["iterations"] @@ -403,7 +422,7 @@ class PlotMethods(object): ) ) - for box_id, col_search in enumerate(debug_info["col_searches"]): + for box_id, col_search in enumerate(parse_details["col_searches"]): draw_labeled_bbox( ax, col_search["expanded_bbox"], "box body + header #{box_id}".format( @@ -422,10 +441,5 @@ class 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z|93E)W8o};n_p|u2H?5*wQzeWSc*5_)_N7g75?ADB7f7kUpp-F7w7x6<9_Y12;>(3 v#?$+!(?vEf%U`~1e>(2h4!i$9w*woy>k@q;Rq<{S3jQu#Fwi1tS_l6NJhJoZ From 22f42877883fb04b4af137a11f678a30ef58a475 Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 25 Apr 2020 13:31:10 -0700 Subject: [PATCH 39/60] Improve edgeplot for hybrid --- camelot/core.py | 6 +- camelot/parsers/hybrid.py | 6 +- camelot/plotting.py | 56 ++++++++++++++---- .../test_hybrid_contour_plot.png | Bin 107612 -> 107595 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 101968 -> 104996 bytes .../test_hybrid_textedge_plot.png | Bin 196972 -> 168171 bytes .../test_stream_textedge_plot.png | Bin 115722 -> 115733 bytes 7 files changed, 50 insertions(+), 18 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index f729e46..83ffea5 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -147,7 +147,7 @@ class TextAlignments(object): def _create_new_text_alignment(coord, textline, align): return TextAlignment(coord, textline, align) - def _update_edge(self, edge, coord, textline): + def _update_alignment(self, alignment, coord, textline): return NotImplemented def _register_textline(self, textline): @@ -172,7 +172,7 @@ class TextAlignments(object): coord, atol=0.5 ): - self._update_edge( + self._update_alignment( alignment_array[idx_closest], coord, textline @@ -209,7 +209,7 @@ class TextEdges(TextAlignments): te = self._create_new_text_alignment(coord, textline, align) self._text_alignments[align].append(te) - def _update_edge(self, edge, coord, textline): + def _update_alignment(self, edge, coord, textline): edge.update_coords(coord, textline, self.edge_tol) def generate(self, textlines): diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index bd98aed..cdea619 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -21,8 +21,6 @@ from ..utils import ( find_columns_coordinates ) -from matplotlib import patches as patches - # maximum number of columns over which a header can spread MAX_COL_SPREAD_IN_HEADER = 3 @@ -220,8 +218,8 @@ class TextNetworks(TextAlignments): # "number of textlines aligned" self._textlines_alignments = {} - def _update_edge(self, edge, coord, textline): - edge.register_aligned_textline(textline, coord) + def _update_alignment(self, alignment, coord, textline): + alignment.register_aligned_textline(textline, coord) def _register_all_text_lines(self, textlines): """Add all textlines to our network repository to diff --git a/camelot/plotting.py b/camelot/plotting.py index a94c1bb..f973498 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -8,7 +8,7 @@ except ImportError: else: _HAS_MPL = True -from .utils import bbox_from_str +from .utils import (bbox_from_str, get_textline_coords) def draw_labeled_bbox( @@ -287,16 +287,15 @@ class PlotMethods(object): patches.Rectangle( (t[0], t[1]), t[2] - t[0], t[3] - t[1], color="blue", - alpha=0.5 + alpha=0.2 ) ) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) if table.flavor == "hybrid": - for text_network in table.parse_details["network_searches"]: - # FRHTODO: This is too busy and doesn't plot lines - most_connected_tl = text_network.most_connected_textline() + for network in table.parse_details["network_searches"]: + most_connected_tl = network.most_connected_textline() ax.add_patch( patches.Rectangle( @@ -307,13 +306,48 @@ class PlotMethods(object): alpha=0.5 ) ) - for tl, alignments in text_network._textlines_alignments.items(): + for tl, alignments in network._textlines_alignments.items(): + coords = get_textline_coords(tl) + alignment_id_h, tls_h = alignments.max_v() + alignment_id_v, tls_v = alignments.max_h() + xs = list(map(lambda tl: tl.x0, tls_v)) + ys = list(map(lambda tl: tl.y1, tls_h)) + top_h = max(ys) ax.text( - tl.x0 - 5, - tl.y0 - 5, - f"{alignments.max_h_count()}x{alignments.max_v_count()}", - fontsize=5, - color="black" + coords[alignment_id_h], + top_h + 5, + "{max_h_count}".format(max_h_count=len(tls_h)), + verticalalignment="bottom", + horizontalalignment="center", + fontsize=8, + color="green" + ) + ax.plot( + [coords[alignment_id_h]] * len(ys), ys, + color="green", + linestyle="dashed", + linewidth=1, + marker="o", + markersize=3 + ) + + left_v = min(map(lambda tl: tl.x0, tls_v)) + ax.text( + left_v - 5, + coords[alignment_id_v], + "{max_v_count}".format(max_v_count=len(tls_v)), + verticalalignment="center", + horizontalalignment="right", + fontsize=8, + color="blue" + ) + ax.plot( + xs, [coords[alignment_id_v]] * len(xs), + color="blue", + linestyle="dotted", + linewidth=1, + marker="o", + markersize=3 ) else: for te in table._textedges: diff --git a/tests/files/baseline_plots/test_hybrid_contour_plot.png b/tests/files/baseline_plots/test_hybrid_contour_plot.png index 524d5e061b39e22b3e5acddddf01318c73d1b8f2..26d2b571c98bc64f0d36a6b62877a00910b90d23 100644 GIT binary patch delta 67667 zcmY(rbwE^I)Gv&MA`*hMq|)8e3J4NIOLsR&$`A(uL0XVbi6Nw5ZS7o-zJb zM&IRe93Fe0OYf>nlD!OnjfS^N3YzB 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zNls4*-TjgkB~c9}zxMs+bxd&T3eW{u^2$%)P56PIFBPvJfuHFQk26L#AV@OiD1wB$ z32XuV!;XwUZv>@>_JuA&LP$HE2!aX)1qDw{TNQ0jCrq4!L+(d0#>x9llZ1w3P{oN0Xb>&*}DY!(q|0PEgqr(e#w@(Goyf>z#-J3l%xH5J{Kq1*d< z*Jb{UjEtDWq;KzGAD;_QXx1pAtq_hNNK@Y}5d_&Q_v5~h41yfh Date: Sat, 25 Apr 2020 17:15:16 -0700 Subject: [PATCH 40/60] Rename member for clarity, fixed unit test _textlines_alignments becomes _textline_to_alignments --- camelot/parsers/hybrid.py | 18 +++++++++--------- camelot/plotting.py | 6 +++--- ...est_hybrid_table_regions_textedge_plot.png | Bin 104996 -> 102387 bytes .../test_hybrid_textedge_plot.png | Bin 168171 -> 115531 bytes 4 files changed, 12 insertions(+), 12 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index cdea619..9410614 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -216,7 +216,7 @@ class TextNetworks(TextAlignments): super().__init__(ALL_ALIGNMENTS) # For each textline, dictionary "alignment type" to # "number of textlines aligned" - self._textlines_alignments = {} + self._textline_to_alignments = {} def _update_alignment(self, alignment, coord, textline): alignment.register_aligned_textline(textline, coord) @@ -236,11 +236,11 @@ class TextNetworks(TextAlignments): for align_id, textedges in self._text_alignments.items(): for textedge in textedges: for textline in textedge.textlines: - alignments = self._textlines_alignments.get( + alignments = self._textline_to_alignments.get( textline, None) if alignments is None: alignments = AlignmentCounter() - self._textlines_alignments[textline] = alignments + self._textline_to_alignments[textline] = alignments alignments[align_id] = textedge.textlines def _calculate_gaps_thresholds(self, percentile=75): @@ -301,12 +301,12 @@ class TextNetworks(TextAlignments): for ta in textalignments: for i in range(len(ta.textlines) - 1, -1, -1): tl = ta.textlines[i] - alignments = self._textlines_alignments[tl] + alignments = self._textline_to_alignments[tl] if alignments.max_h_count() <= 1 or \ alignments.max_v_count() <= 1: del ta.textlines[i] removed_singletons = True - self._textlines_alignments = {} + self._textline_to_alignments = {} self._compute_alignment_counts() def most_connected_textline(self): @@ -316,9 +316,9 @@ class TextNetworks(TextAlignments): """ # Find the textline with the highest alignment score return max( - self._textlines_alignments.keys(), + self._textline_to_alignments.keys(), key=lambda textline: - self._textlines_alignments[textline].alignment_score(), + self._textline_to_alignments[textline].alignment_score(), default=None ) @@ -342,7 +342,7 @@ class TextNetworks(TextAlignments): # Retrieve the list of textlines it's aligned with, across both # axis - best_alignment = self._textlines_alignments[most_aligned_tl] + best_alignment = self._textline_to_alignments[most_aligned_tl] ref_h_alignment_id, ref_h_textlines = best_alignment.max_h() ref_v_alignment_id, ref_v_textlines = best_alignment.max_v() if len(ref_v_textlines) <= 1 or len(ref_h_textlines) <= 1: @@ -416,7 +416,7 @@ class TextNetworks(TextAlignments): # For the body of the table, we only consider cells with alignments # on both axis. - tls_search_space = list(self._textlines_alignments.keys()) + tls_search_space = list(self._textline_to_alignments.keys()) # tls_search_space = [] tls_search_space.remove(most_aligned_tl) tls_in_bbox = [most_aligned_tl] diff --git a/camelot/plotting.py b/camelot/plotting.py index f973498..81d9694 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -306,7 +306,7 @@ class PlotMethods(object): alpha=0.5 ) ) - for tl, alignments in network._textlines_alignments.items(): + for tl, alignments in network._textline_to_alignments.items(): coords = get_textline_coords(tl) alignment_id_h, tls_h = alignments.max_v() alignment_id_v, tls_v = alignments.max_h() @@ -325,7 +325,7 @@ class PlotMethods(object): ax.plot( [coords[alignment_id_h]] * len(ys), ys, color="green", - linestyle="dashed", + linestyle="solid", linewidth=1, 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zDn2KRk@(l}Bv?Fi65dc#?S7YJ_dW|(FG$HSiKyNxGBRsrxBB6|hQ+gH5ZaJ4sq|sf z+t-IW-t42lj)0S_j!oWOJd{o!cS)MI2gQ2-3PKabg0YE-OM|(_#5VQ&_qO=jhO>!i z?_(vPc46!mR^YK#Wy%` zParED>1A#H!Z2I4Enxo;r@E0itEU&faSoPZsvj5cXPXjWpJ@Wy>f6h`gqrI1XSq#x zC+ys#*SC>oMlgq-@ zhN}&8JDwa0=;g%Q^Fn(ko}BI&SlT(C)EUAZ59!EMg>#ByvO7pFzQ1M9;JgULByrJ~ z+B7gyzd8T37K}j18$Eb=S2qBl9Fa%=U{t5}L8YGZ#eD6@~ zhf{?AzTr}7MP$(dr)D4&xXA2+{yOjCDB6(9CQaHyt$!f*gU^x2;I6~W&fLsSLr%2- zH-zvX@FS^&#j0h3i=RzYG}98soHi%G2EXTPe~-ILS-M+6Se}ACf|mt&?7>?L*Z=wm z=zl7O#lL|{pX+G|jYh&Z)-Rey}($e3* zerO0)AT^8_85tS4;DBg-05qYv5Rlh_BlRL!Q5^M`zQvnd<|Nrs-)w6L=;qe<&oCE!y R{P9{ziOGH_75U=(KLA%&Cba+n From 016776939ea2dc59da58f6b5e38fe079928985bb Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 25 Apr 2020 20:51:00 -0700 Subject: [PATCH 41/60] Plot improvements, address 132 Plot takes an optional axes parameter, allowing notebooks more flexibility. Header heuristic in hybrid won't include headers which span the entire table. Added unit test for issue #132 Fixes https://github.com/camelot-dev/camelot/issues/132 --- camelot/parsers/hybrid.py | 11 +- camelot/plotting.py | 107 ++++++++++-------- tests/data.py | 16 +++ .../camelot-issue-132-multiple-tables.pdf | Bin 0 -> 62330 bytes tests/test_common.py | 15 ++- 5 files changed, 99 insertions(+), 50 deletions(-) create mode 100644 tests/files/camelot-issue-132-multiple-tables.pdf diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 9410614..17b51a9 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -5,6 +5,7 @@ from __future__ import division import numpy as np import copy +import math from .base import TextBaseParser from ..core import ( @@ -120,7 +121,15 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): ) ) ) - if max_spread <= MAX_COL_SPREAD_IN_HEADER: + + # Accept textlines that cross columns boundaries, as long as they + # cross less than MAX_COL_SPREAD_IN_HEADER, and half the number of + # columns. + # This is to avoid picking unrelated paragraphs. + if max_spread <= min( + MAX_COL_SPREAD_IN_HEADER, + math.ceil(len(col_anchors) / 2) + ): # Combined, the elements we've identified don't cross more # than the authorized number of columns. # We're trying to avoid diff --git a/camelot/plotting.py b/camelot/plotting.py index 81d9694..12ba457 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -65,9 +65,9 @@ def draw_pdf(table, ax, to_pdf_scale=True): ---------- table : camelot.core.Table - ax : matplotlib.axes.Axes + ax : matplotlib.axes.Axes (optional) - to_pdf_scale : bool + to_pdf_scale : bool (optional) """ img = table.get_pdf_image() @@ -83,6 +83,7 @@ def draw_parse_constraints(table, ax): Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) ax : matplotlib.axes.Axes @@ -110,8 +111,33 @@ def draw_parse_constraints(table, ax): ) +def prepare_plot(table, ax=None, to_pdf_scale=True): + """Initialize plot and draw common components + + Parameters + ---------- + table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) + to_pdf_scale : + + ax : matplotlib.axes.Axes + + to_pdf_scale : bool (optional) + + Returns + ------- + ax : matplotlib.axes.Axes + """ + if ax is None: + fig = plt.figure() + ax = fig.add_subplot(111, aspect="equal") + draw_pdf(table, ax, to_pdf_scale) + draw_parse_constraints(table, ax) + return ax + + class PlotMethods(object): - def __call__(self, table, kind="text", filename=None): + def __call__(self, table, kind="text", filename=None, ax=None): """Plot elements found on PDF page based on kind specified, useful for debugging and playing with different parameters to get the best output. @@ -144,26 +170,24 @@ class PlotMethods(object): ) plot_method = getattr(self, kind) - return plot_method(table) + return plot_method(table, ax) @staticmethod - def text(table): + def text(table, ax=None): """Generates a plot for all text elements present on the PDF page. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax) - draw_parse_constraints(table, ax) + ax = prepare_plot(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -178,26 +202,24 @@ class PlotMethods(object): ) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) - return fig + return ax.get_figure() @staticmethod - def grid(table): + def grid(table, ax=None): """Generates a plot for the detected table grids on the PDF page. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax) - draw_parse_constraints(table, ax) + ax = prepare_plot(table, ax) for row in table.cells: for cell in row: if cell.left: @@ -208,27 +230,25 @@ class PlotMethods(object): ax.plot([cell.lt[0], cell.rt[0]], [cell.lt[1], cell.rt[1]]) if cell.bottom: ax.plot([cell.lb[0], cell.rb[0]], [cell.lb[1], cell.rb[1]]) - return fig + return ax.get_figure() @staticmethod - def contour(table): + def contour(table, ax=None): """Generates a plot for all table boundaries present on the PDF page. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") _FOR_LATTICE = table.flavor == "lattice" - draw_pdf(table, ax, to_pdf_scale=not _FOR_LATTICE) - draw_parse_constraints(table, ax) + ax = prepare_plot(table, ax, to_pdf_scale=not _FOR_LATTICE) if _FOR_LATTICE: table_bbox = table._bbox_unscaled @@ -260,25 +280,23 @@ class PlotMethods(object): ys.extend([t[1], t[3]]) ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) - return fig + return ax.get_figure() @staticmethod - def textedge(table): + def textedge(table, ax=None): """Generates a plot for relevant textedges. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax) - draw_parse_constraints(table, ax) + ax = prepare_plot(table, ax) xs, ys = [], [] for t in table._text: xs.extend([t[0], t[2]]) @@ -352,26 +370,24 @@ class PlotMethods(object): else: for te in table._textedges: ax.plot([te.coord, te.coord], [te.y0, te.y1]) - return fig + return ax.get_figure() @staticmethod - def joint(table): + def joint(table, ax=None): """Generates a plot for all line intersections present on the PDF page. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax, to_pdf_scale=False) - draw_parse_constraints(table, ax) + ax = prepare_plot(table, ax, to_pdf_scale=False) table_bbox = table._bbox_unscaled x_coord = [] y_coord = [] @@ -380,53 +396,48 @@ class PlotMethods(object): x_coord.append(coord[0]) y_coord.append(coord[1]) ax.plot(x_coord, y_coord, "ro") - return fig + return ax.get_figure() @staticmethod - def line(table): + def line(table, ax=None): """Generates a plot for all line segments present on the PDF page. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax) - draw_parse_constraints(table, ax) + ax = prepare_plot(table, ax) vertical, horizontal = table._segments for v in vertical: ax.plot([v[0], v[2]], [v[1], v[3]]) for h in horizontal: ax.plot([h[0], h[2]], [h[1], h[3]]) - return fig + return ax.get_figure() @staticmethod - def hybrid_table_search(table): + def hybrid_table_search(table, ax=None): """Generates a plot illustrating the steps of the hybrid table search. Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) Returns ------- fig : matplotlib.fig.Figure """ - fig = plt.figure() - ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax) - draw_parse_constraints(table, ax) - + ax = prepare_plot(table, ax) if table.parse_details is None: - return fig + return ax.get_figure() parse_details = table.parse_details for box_id, bbox_search in enumerate(parse_details["bbox_searches"]): max_h_gap = bbox_search["max_h_gap"] @@ -476,4 +487,4 @@ class PlotMethods(object): label_pos="bottom,left" ) - return fig + return ax.get_figure() diff --git a/tests/data.py b/tests/data.py index 1205de7..ccb0d7e 100755 --- a/tests/data.py +++ b/tests/data.py @@ -1609,6 +1609,22 @@ data_stream_two_tables_2 = [ ["1 Except forcible rape and prostitution.", "", "", "", "", ""], ] +data_hybrid_two_tables_b_1 = [ + ["1", "Ghfhbdhj", "1", "Hgfdhgjsdhjdsf"], + ["Vgvhgh", "Hj", "Hj", "Hj"], + ["Hj", "Hj", "Hj", "Hj"], + ["Hj", "Hj", 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21:14:56 -0700 Subject: [PATCH 42/60] Remove f-strings, fix url based unit tests f-strings fail unit tests in Python <3.7, removed them for .format. Made download_url simulate Mozilla/5.0 to restore unit tests, since server targetted was 403ing. --- camelot/core.py | 8 +++++-- camelot/parsers/hybrid.py | 44 --------------------------------------- camelot/utils.py | 4 +++- 3 files changed, 9 insertions(+), 47 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 83ffea5..9263628 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -68,8 +68,12 @@ class TextAlignment(object): def __repr__(self): text_inside = " | ".join( map(lambda x: x.get_text(), self.textlines[:2])).replace("\n", "") - return f"" + return "".format( + coord=self.coord, + tl_count=len(self.textlines), + text_inside=text_inside + ) def register_aligned_textline(self, textline, coord): """Update new textline to this alignment, adapting its average.""" diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 17b51a9..5ccdde6 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -252,50 +252,6 @@ class TextNetworks(TextAlignments): self._textline_to_alignments[textline] = alignments alignments[align_id] = textedge.textlines - def _calculate_gaps_thresholds(self, percentile=75): - """Identify reasonable gaps between lines and columns based - on gaps observed across alignments. - This can be used to reject cells as too far away from - the core table. - """ - h_gaps, v_gaps = [], [] - for align_id in self._text_alignments: - edge_array = self._text_alignments[align_id] - gaps = [] - vertical = align_id in HORIZONTAL_ALIGNMENTS - sort_function = (lambda tl: tl.y0) \ - if vertical \ - else (lambda tl: tl.x0) - for alignments in edge_array: - tls = sorted( - alignments.textlines, - key=sort_function, - reverse=True - ) - for i in range(1, len(tls)): - # If the lines are vertically aligned (stacked up), we - # record the vertical gap between them - if vertical: - gap = tls[i-1].y1 - tls[i].y0 - else: - gap = tls[i-1].x1 - tls[i].x0 - gaps.append(gap) - if gaps: - if vertical: - v_gaps.append(np.percentile(gaps, percentile)) - else: - h_gaps.append(np.percentile(gaps, percentile)) - direction_str = 'vertical' if vertical else 'horizontal' - rounded_gaps = list(map(lambda x: round(x, 2), gaps)) - print( - f"{direction_str} gaps found " - f"for {align_id}: " - f"{rounded_gaps} " - f"with {percentile}th percentile " - f"{np.percentile(gaps, percentile)}" - ) - return max(h_gaps, default=None), max(v_gaps, default=None) - def _remove_unconnected_edges(self): """Weed out elements which are only connected to others vertically or horizontally. There needs to be connections across both diff --git a/camelot/utils.py b/camelot/utils.py index 752e4b5..a675580 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -12,6 +12,7 @@ import tempfile import warnings from itertools import groupby from operator import itemgetter +from urllib.request import Request import numpy as np import pandas as pd @@ -96,7 +97,8 @@ def download_url(url): """ filename = "{}.pdf".format(random_string(6)) with tempfile.NamedTemporaryFile("wb", delete=False) as f: - obj = urlopen(url) + req = Request(url, headers={"User-Agent": "Mozilla/5.0"}) + obj = urlopen(req) if PY3: content_type = obj.info().get_content_type() else: From 56dd31090c5f8d4dcf72e39742fa5c76f9a964a9 Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 25 Apr 2020 21:33:15 -0700 Subject: [PATCH 43/60] Remove another f-string --- camelot/parsers/hybrid.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 5ccdde6..6c399ef 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -411,9 +411,7 @@ class TextNetworks(TextAlignments): del tls_search_space[i] if len(tls_in_bbox) > MINIMUM_TEXTLINES_IN_TABLE: return bbox - else: - print(f"Only {len(tls_in_bbox)}, that's not enough.") - return None + return None def generate(self, textlines): """Generate the text edge dictionaries based on the From 30a0b2e4bc21264e5e966044deb1cbef17e51281 Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 25 Apr 2020 21:55:01 -0700 Subject: [PATCH 44/60] Add Parser comparison notebook to help visualizing --- notebook-hybrid-parser.ipynb | 196 +++++++++++++++++++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 notebook-hybrid-parser.ipynb diff --git a/notebook-hybrid-parser.ipynb b/notebook-hybrid-parser.ipynb new file mode 100644 index 0000000..25a9f55 --- /dev/null +++ b/notebook-hybrid-parser.ipynb @@ -0,0 +1,196 @@ +{ + "nbformat": 4, + "nbformat_minor": 2, + "metadata": { + "language_info": { + "name": "python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "version": "3.7.7-final" + }, + "orig_nbformat": 2, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "npconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": 3, + "kernelspec": { + "name": "python37764bit8418972e58f441528b05b4b21a1f095d", + "display_name": "Python 3.7.7 64-bit" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Common import and setup\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'" + }, + "metadata": {}, + "execution_count": 44 + } + ], + "source": [ + "import os, sys, time, pytest\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib import patches, lines\n", + "import numpy as np\n", + "import pandas as pd\n", + "from pandas.testing import assert_frame_equal\n", + "\n", + "import pdfminer\n", + "\n", + "from IPython.display import display\n", + "\n", + "# Make sure we use the local version of camelot if it is here\n", + "sys.path.insert(0, os.path.abspath(''))\n", + "\n", + "import camelot\n", + "from camelot.core import Table, TableList, TextEdges\n", + "from camelot.__version__ import generate_version\n", + "from camelot.utils import get_text_objects, text_in_bbox\n", + "from camelot.parsers.stream import Stream\n", + "from camelot.parsers.hybrid import Hybrid\n", + "from camelot.handlers import PDFHandler\n", + "from camelot.plotting import draw_pdf\n", + "from tests.data import *\n", + "\n", + "testdir = os.path.dirname(os.path.abspath('.'))\n", + "testdir = os.path.join(testdir, \"camelot/tests/files\")\n", + "\n", + "# Set up plots to be large enough for visualization\n", + "plt.rcParams[\"figure.figsize\"] = [26, 12]\n", + "\n", + "# To check which library we're using\n", + "camelot.__file__\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "kwargs = {}\n", + "data = None\n", + "# pdf_file = \"vertical_header.pdf\"\n", + "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", + "# pdf_file = \"health.pdf\" # test_hybrid\n", + "# pdf_file = \"clockwise_table_2.pdf\"\n", + "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", + "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", + "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", + "# pdf_file = \"vertical_header.pdf\"\n", + "# pdf_file = \"twotables_2.pdf\"\n", + "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", + "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n", + "# pdf_file, kwargs, data = \"edge_tol.pdf\", {}, data_stream_edge_tol\n", + "\n", + "filename = os.path.join(testdir, pdf_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": " 0 \\\n0 Program. Represents arrests reported (not char... \n1 by the FBI. Some persons may be arrested more ... \n2 could represent multiple arrests of the same p... \n3 \n4 Offense charged \n5 \n6 Total .\\n .\\n . . . . . .\\n . .\\n . .... \n7 Violent crime . . . . . . . .\\n . .\\... \n8 Murder and nonnegligent \n9 manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n10 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... \n11 Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n... \n12 Aggravated assault . . . . . . . .\\n. .\\n. .\\n. \n13 Property crime . . . .\\n . .\\n . . .\\n ... \n14 Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n... \n15 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... \n16 Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n... \n17 Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n... \n18 Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . .... \n19 Forgery and counterfeiting .\\n. . . . . . .\\n. \n20 Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.... \n21 Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . .... \n22 Stolen property 1 . . . . . . .\\n. . .\\n. .\\n... \n23 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... \n24 Weapons; carrying, possessing, etc. . \n25 Prostitution and commercialized vice \n26 Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. .... \n27 Drug abuse violations . . . . . . . .\\n. .\\n.\\n. \n28 Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. .... \n29 Offenses against the family and \n30 children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\... \n31 Driving under the influence . . . . . .\\n. . \n32 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n33 Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\... \n34 Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ... \n35 Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. .... \n36 All other offenses (except traffic) . . .\\n. \n37 Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .... \n38 Curfew and loitering law violations .\\n. \n39 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... \n40 \n\n 1 2 3 \\\n0 \n1 \n2 \n3 Total \n4 Under 18 18 years \n5 Total years and over \n6 11,062 .6 1,540 .0 9,522 .6 \n7 467 .9 69 .1 398 .8 \n8 \n9 10.0 0.9 9.1 \n10 17.5 2.6 14.9 \n11 102.1 25.5 76.6 \n12 338.4 40.1 298.3 \n13 1,396 .4 338 .7 1,057 .7 \n14 240.9 60.3 180.6 \n15 1,080.1 258.1 822.0 \n16 65.6 16.0 49.6 \n17 9.8 4.3 5.5 \n18 1,061.3 175.3 886.1 \n19 68.9 1.7 67.2 \n20 173.7 5.1 168.5 \n21 14.6 – 14.1 \n22 84.3 15.1 69.2 \n23 217.4 72.7 144.7 \n24 132.9 27.1 105.8 \n25 56.9 1.1 55.8 \n26 61.5 10.7 50.7 \n27 1,333.0 136.6 1,196.4 \n28 8.2 1.4 6.8 \n29 \n30 92.4 3.7 88.7 \n31 1,158.5 109.2 1,147.5 \n32 48.2 90.2 368.0 \n33 488.1 11.4 476.8 \n34 529.5 136.1 393.3 \n35 26.6 2.2 24.4 \n36 306.1 263.4 2,800.8 \n37 1.6 – 1.4 \n38 91.0 91.0 (X) \n39 75.8 75.8 (X) \n40 – Represents zero. 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    0123456789
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    7Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    8Murder and nonnegligent
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    10Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    11Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    12Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    13Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    14Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    15Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    16Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    17Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    18Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    19Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    20Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    21Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    22Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    23Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    24Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    25Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    26Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    27Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    28Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    29Offenses against the family and
    30children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    31Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    32Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    33Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    34Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    35Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    36All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    37Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    38Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    39Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    40– Represents zero. X Not applicable. 1 Buying,...
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    4Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    5Murder and nonnegligent
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    9Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    10Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
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    12Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    13Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    14Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    15Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    16Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    17Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    18Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    19Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    20Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    21Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    22Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    23Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    24Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    25Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    26Offenses against the family and
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    28Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    29Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    30Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    31Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    32Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    33All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    34Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    35Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "\n", + "fig, axes = plt.subplots(1, 3)\n", + "fig.suptitle('Side-by-side Flavor Review')\n", + "tables_list = []\n", + "for idx, flavor in enumerate([\"stream\", \"lattice\", \"hybrid\"]):\n", + " timer_before_parse = time.perf_counter()\n", + " tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", + " tables_list.append(tables)\n", + " timer_after_parse = time.perf_counter()\n", + " ax = axes[idx]\n", + " if len(tables):\n", + " display(tables[0].df)\n", + " for table in tables:\n", + " fig = camelot.plot(table, kind='grid', ax=ax)\n", + " ax.set_title(\"{flavor}\".format(flavor=flavor))\n", + " tables_dims = \", \".join(\n", + " map(\n", + " lambda table: \"{rows}x{cols}\".format(\n", + " rows=table.shape[0],\n", + " cols=table.shape[1],\n", + " ), tables\n", + " )\n", + " )\n", + " ax.text(\n", + " 0.5,-0.1, \n", + " \"Found {table_num} tables ({tables_dims}) in {parse_time:.2f}s\".format(\n", + " table_num=len(tables),\n", + " tables_dims=tables_dims,\n", + " parse_time=timer_after_parse - timer_before_parse,\n", + " ), \n", + " size=12, ha=\"center\", \n", + " transform=ax.transAxes\n", + " )\n", + " timer_after_plot = time.perf_counter()\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ] +} \ No newline at end of file From a2c5ee7f06a65675994eabcaeb7aca7745a4e7ba Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 25 Apr 2020 21:55:21 -0700 Subject: [PATCH 45/60] Add parser comparizon notebook --- parser-comparison-notebook.ipynb | 196 +++++++++++++++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 parser-comparison-notebook.ipynb diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb new file mode 100644 index 0000000..25a9f55 --- /dev/null +++ b/parser-comparison-notebook.ipynb @@ -0,0 +1,196 @@ +{ + "nbformat": 4, + "nbformat_minor": 2, + "metadata": { + "language_info": { + "name": "python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "version": "3.7.7-final" + }, + "orig_nbformat": 2, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "npconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": 3, + "kernelspec": { + "name": "python37764bit8418972e58f441528b05b4b21a1f095d", + "display_name": "Python 3.7.7 64-bit" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Common import and setup\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'" + }, + "metadata": {}, + "execution_count": 44 + } + ], + "source": [ + "import os, sys, time, pytest\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib import patches, lines\n", + "import numpy as np\n", + "import pandas as pd\n", + "from pandas.testing import assert_frame_equal\n", + "\n", + "import pdfminer\n", + "\n", + "from IPython.display import display\n", + "\n", + "# Make sure we use the local version of camelot if it is here\n", + "sys.path.insert(0, os.path.abspath(''))\n", + "\n", + "import camelot\n", + "from camelot.core import Table, TableList, TextEdges\n", + "from camelot.__version__ import generate_version\n", + "from camelot.utils import get_text_objects, text_in_bbox\n", + "from camelot.parsers.stream import Stream\n", + "from camelot.parsers.hybrid import Hybrid\n", + "from camelot.handlers import PDFHandler\n", + "from camelot.plotting import draw_pdf\n", + "from tests.data import *\n", + "\n", + "testdir = os.path.dirname(os.path.abspath('.'))\n", + "testdir = os.path.join(testdir, \"camelot/tests/files\")\n", + "\n", + "# Set up plots to be large enough for visualization\n", + "plt.rcParams[\"figure.figsize\"] = [26, 12]\n", + "\n", + "# To check which library we're using\n", + "camelot.__file__\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "kwargs = {}\n", + "data = None\n", + "# pdf_file = \"vertical_header.pdf\"\n", + "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", + "# pdf_file = \"health.pdf\" # test_hybrid\n", + "# pdf_file = \"clockwise_table_2.pdf\"\n", + "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", + "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", + "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", + "# pdf_file = \"vertical_header.pdf\"\n", + "# pdf_file = \"twotables_2.pdf\"\n", + "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", + "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n", + "# pdf_file, kwargs, data = \"edge_tol.pdf\", {}, data_stream_edge_tol\n", + "\n", + "filename = os.path.join(testdir, pdf_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": " 0 \\\n0 Program. Represents arrests reported (not char... \n1 by the FBI. Some persons may be arrested more ... \n2 could represent multiple arrests of the same p... \n3 \n4 Offense charged \n5 \n6 Total .\\n .\\n . . . . . .\\n . .\\n . .... \n7 Violent crime . . . . . . . .\\n . .\\... \n8 Murder and nonnegligent \n9 manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n10 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... \n11 Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n... \n12 Aggravated assault . . . . . . . .\\n. .\\n. .\\n. \n13 Property crime . . . .\\n . .\\n . . .\\n ... \n14 Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n... \n15 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... \n16 Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n... \n17 Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n... \n18 Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . .... \n19 Forgery and counterfeiting .\\n. . . . . . .\\n. \n20 Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.... \n21 Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . .... \n22 Stolen property 1 . . . . . . .\\n. . .\\n. .\\n... \n23 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... \n24 Weapons; carrying, possessing, etc. . \n25 Prostitution and commercialized vice \n26 Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. .... \n27 Drug abuse violations . . . . . . . .\\n. .\\n.\\n. \n28 Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. .... \n29 Offenses against the family and \n30 children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\... \n31 Driving under the influence . . . . . .\\n. . \n32 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n33 Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\... \n34 Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ... \n35 Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. .... \n36 All other offenses (except traffic) . . .\\n. \n37 Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .... \n38 Curfew and loitering law violations .\\n. \n39 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... \n40 \n\n 1 2 3 \\\n0 \n1 \n2 \n3 Total \n4 Under 18 18 years \n5 Total years and over \n6 11,062 .6 1,540 .0 9,522 .6 \n7 467 .9 69 .1 398 .8 \n8 \n9 10.0 0.9 9.1 \n10 17.5 2.6 14.9 \n11 102.1 25.5 76.6 \n12 338.4 40.1 298.3 \n13 1,396 .4 338 .7 1,057 .7 \n14 240.9 60.3 180.6 \n15 1,080.1 258.1 822.0 \n16 65.6 16.0 49.6 \n17 9.8 4.3 5.5 \n18 1,061.3 175.3 886.1 \n19 68.9 1.7 67.2 \n20 173.7 5.1 168.5 \n21 14.6 – 14.1 \n22 84.3 15.1 69.2 \n23 217.4 72.7 144.7 \n24 132.9 27.1 105.8 \n25 56.9 1.1 55.8 \n26 61.5 10.7 50.7 \n27 1,333.0 136.6 1,196.4 \n28 8.2 1.4 6.8 \n29 \n30 92.4 3.7 88.7 \n31 1,158.5 109.2 1,147.5 \n32 48.2 90.2 368.0 \n33 488.1 11.4 476.8 \n34 529.5 136.1 393.3 \n35 26.6 2.2 24.4 \n36 306.1 263.4 2,800.8 \n37 1.6 – 1.4 \n38 91.0 91.0 (X) \n39 75.8 75.8 (X) \n40 – Represents zero. 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    0123456789
    0Program. Represents arrests reported (not char...
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    7Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    8Murder and nonnegligent
    9manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    10Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    11Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    12Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    13Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    14Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    15Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    16Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    17Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    18Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    19Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    20Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    21Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    22Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    23Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    24Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    25Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    26Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    27Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    28Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    29Offenses against the family and
    30children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    31Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    32Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    33Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    34Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    35Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    36All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    37Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    38Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    39Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    40– Represents zero. X Not applicable. 1 Buying,...
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    4Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    5Murder and nonnegligent
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    9Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    10Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
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    12Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    13Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    14Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    15Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    16Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    17Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    18Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    19Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    20Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    21Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    22Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    23Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    24Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    25Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    26Offenses against the family and
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    28Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    29Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    30Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    31Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    32Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    33All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    34Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    35Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "\n", + "fig, axes = plt.subplots(1, 3)\n", + "fig.suptitle('Side-by-side Flavor Review')\n", + "tables_list = []\n", + "for idx, flavor in enumerate([\"stream\", \"lattice\", \"hybrid\"]):\n", + " timer_before_parse = time.perf_counter()\n", + " tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", + " tables_list.append(tables)\n", + " timer_after_parse = time.perf_counter()\n", + " ax = axes[idx]\n", + " if len(tables):\n", + " display(tables[0].df)\n", + " for table in tables:\n", + " fig = camelot.plot(table, kind='grid', ax=ax)\n", + " ax.set_title(\"{flavor}\".format(flavor=flavor))\n", + " tables_dims = \", \".join(\n", + " map(\n", + " lambda table: \"{rows}x{cols}\".format(\n", + " rows=table.shape[0],\n", + " cols=table.shape[1],\n", + " ), tables\n", + " )\n", + " )\n", + " ax.text(\n", + " 0.5,-0.1, \n", + " \"Found {table_num} tables ({tables_dims}) in {parse_time:.2f}s\".format(\n", + " table_num=len(tables),\n", + " tables_dims=tables_dims,\n", + " parse_time=timer_after_parse - timer_before_parse,\n", + " ), \n", + " size=12, ha=\"center\", \n", + " transform=ax.transAxes\n", + " )\n", + " timer_after_plot = time.perf_counter()\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ] +} \ No newline at end of file From c51c24a41629a29bb6ad8f6113a2ad0246ff11ad Mon Sep 17 00:00:00 2001 From: Frh Date: Sat, 25 Apr 2020 22:47:23 -0700 Subject: [PATCH 46/60] Linting --- camelot/cli.py | 2 +- camelot/core.py | 10 ++--- camelot/parsers/base.py | 75 +++++++++++++++++++++-------------- camelot/parsers/hybrid.py | 81 ++++++++++++++++++-------------------- camelot/parsers/lattice.py | 35 ++++++++-------- camelot/parsers/stream.py | 23 ++++++----- camelot/plotting.py | 2 +- camelot/utils.py | 37 +++++++++-------- 8 files changed, 141 insertions(+), 124 deletions(-) diff --git a/camelot/cli.py b/camelot/cli.py index e276f01..1e85b30 100644 --- a/camelot/cli.py +++ b/camelot/cli.py @@ -18,7 +18,7 @@ logger = logging.getLogger("camelot") logger.setLevel(logging.INFO) -class Config(object): +class Config(): def __init__(self): self.config = {} diff --git a/camelot/core.py b/camelot/core.py index 9263628..0cd7fa6 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -31,7 +31,7 @@ VERTICAL_ALIGNMENTS = ["top", "bottom", "center"] ALL_ALIGNMENTS = HORIZONTAL_ALIGNMENTS + VERTICAL_ALIGNMENTS -class TextAlignment(object): +class TextAlignment(): """Represents a list of textlines sharing an alignment on a coordinate. The alignment can be left/right/middle or top/bottom/center. @@ -137,7 +137,7 @@ class TextEdge(TextAlignment): self.is_valid = True -class TextAlignments(object): +class TextAlignments(): """Defines a dict of text edges across reference alignments. """ @@ -327,7 +327,7 @@ class TextEdges(TextAlignments): return table_areas_padded -class Cell(object): +class Cell(): """Defines a cell in a table with coordinates relative to a left-bottom origin. (PDF coordinate space) @@ -409,7 +409,7 @@ class Cell(object): return self.top + self.bottom + self.left + self.right -class Table(object): +class Table(): """Defines a table with coordinates relative to a left-bottom origin. (PDF coordinate space) @@ -815,7 +815,7 @@ class Table(object): return self -class TableList(object): +class TableList(): """Defines a list of camelot.core.Table objects. Each table can be accessed using its index. diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 6816b62..4c18d77 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -19,24 +19,24 @@ from ..utils import ( from ..core import Table -class BaseParser(object): +class BaseParser(): """Defines a base parser. """ def __init__( - self, - parser_id, - table_regions=None, - table_areas=None, - copy_text=None, - split_text=False, - strip_text="", - shift_text=None, - flag_size=False, - debug=False - ): + self, + parser_id, + table_regions=None, + table_areas=None, + copy_text=None, + split_text=False, + strip_text="", + shift_text=None, + flag_size=False, + debug=False): self.id = parser_id self.table_regions = table_regions self.table_areas = table_areas + self.table_bbox = {} self.copy_text = copy_text self.split_text = split_text @@ -49,7 +49,9 @@ class BaseParser(object): self.t_bbox = None # For plotting details of parsing algorithms - self.parse_details = {} if debug else None + self.parse_details = {} + if not debug: + self.parse_details = None def prepare_page_parse(self, filename, layout, dimensions, page_idx, layout_kwargs): @@ -177,6 +179,18 @@ class BaseParser(object): table.cells[r_idx][c_idx].text = text return pos_errors + def _generate_columns_and_rows(self, bbox, table_idx): + # Pure virtual, must be defined by the derived parser + raise NotImplementedError() + + def _generate_table(self, table_idx, cols, rows, **kwargs): + # Pure virtual, must be defined by the derived parser + raise NotImplementedError() + + def _generate_table_bbox(self): + # Pure virtual, must be defined by the derived parser + raise NotImplementedError() + def extract_tables(self): if self._document_has_no_text(): return [] @@ -188,8 +202,12 @@ class BaseParser(object): _tables = [] # sort tables based on y-coord for table_idx, bbox in enumerate( - sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True) - ): + sorted( + self.table_bbox.keys(), + key=lambda x: x[1], + reverse=True + ) + ): cols, rows, v_s, h_s = self._generate_columns_and_rows( bbox, table_idx @@ -232,20 +250,19 @@ class TextBaseParser(BaseParser): """ def __init__( - self, - parser_id, - table_regions=None, - table_areas=None, - columns=None, - flag_size=False, - split_text=False, - strip_text="", - edge_tol=50, - row_tol=2, - column_tol=0, - debug=False, - **kwargs - ): + self, + parser_id, + table_regions=None, + table_areas=None, + columns=None, + flag_size=False, + split_text=False, + strip_text="", + edge_tol=50, + row_tol=2, + column_tol=0, + debug=False, + **kwargs): super().__init__( parser_id, table_regions=table_regions, diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 6c399ef..bff0d58 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -3,9 +3,9 @@ from __future__ import division -import numpy as np import copy import math +import numpy as np from .base import TextBaseParser from ..core import ( @@ -16,6 +16,7 @@ from ..core import ( ) from ..utils import ( bbox_from_str, + expand_bbox_with_textline, text_in_bbox, bbox_from_textlines, distance_tl_to_bbox, @@ -25,6 +26,23 @@ from ..utils import ( # maximum number of columns over which a header can spread MAX_COL_SPREAD_IN_HEADER = 3 +# Minimum number of textlines in a table +MINIMUM_TEXTLINES_IN_TABLE = 6 + + +def column_spread(left, right, col_anchors): + """Get the number of columns crossed by a segment [left, right].""" + index_left = 0 + while index_left < len(col_anchors) \ + and col_anchors[index_left] < left: + index_left += 1 + index_right = index_left + while index_right < len(col_anchors) \ + and col_anchors[index_right] < right: + index_right += 1 + + return index_right - index_left + def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): """Expand a bbox vertically up by looking for plausible headers. @@ -40,19 +58,6 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): (left, bottom, right, top) = body_bbox zones = [] - def column_spread(left, right, col_anchors): - """Get the number of columns crossed by a segment [left, right].""" - indexLeft = 0 - while indexLeft < len(col_anchors) \ - and col_anchors[indexLeft] < left: - indexLeft += 1 - indexRight = indexLeft - while indexRight < len(col_anchors) \ - and col_anchors[indexRight] < right: - indexRight += 1 - - return indexRight - indexLeft - keep_searching = True while keep_searching: keep_searching = False @@ -127,9 +132,8 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): # columns. # This is to avoid picking unrelated paragraphs. if max_spread <= min( - MAX_COL_SPREAD_IN_HEADER, - math.ceil(len(col_anchors) / 2) - ): + MAX_COL_SPREAD_IN_HEADER, + math.ceil(len(col_anchors) / 2)): # Combined, the elements we've identified don't cross more # than the authorized number of columns. # We're trying to avoid @@ -145,7 +149,7 @@ def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): return new_bbox -class AlignmentCounter(object): +class AlignmentCounter(): """ For a given textline, represent all other textlines aligned with it. @@ -260,7 +264,7 @@ class TextNetworks(TextAlignments): removed_singletons = True while removed_singletons: removed_singletons = False - for alignment_id, textalignments in self._text_alignments.items(): + for textalignments in self._text_alignments.values(): # For each alignment edge, remove items if they are singletons # either horizontally or vertically for ta in textalignments: @@ -283,7 +287,7 @@ class TextNetworks(TextAlignments): return max( self._textline_to_alignments.keys(), key=lambda textline: - self._textline_to_alignments[textline].alignment_score(), + self._textline_to_alignments[textline].alignment_score(), default=None ) @@ -308,8 +312,8 @@ class TextNetworks(TextAlignments): # Retrieve the list of textlines it's aligned with, across both # axis best_alignment = self._textline_to_alignments[most_aligned_tl] - ref_h_alignment_id, ref_h_textlines = best_alignment.max_h() - ref_v_alignment_id, ref_v_textlines = best_alignment.max_v() + __, ref_h_textlines = best_alignment.max_h() + __, ref_v_textlines = best_alignment.max_v() if len(ref_v_textlines) <= 1 or len(ref_h_textlines) <= 1: return None @@ -375,7 +379,6 @@ class TextNetworks(TextAlignments): else: parse_details_search = None - MINIMUM_TEXTLINES_IN_TABLE = 6 bbox = (most_aligned_tl.x0, most_aligned_tl.y0, most_aligned_tl.x1, most_aligned_tl.y1) @@ -402,12 +405,7 @@ class TextNetworks(TextAlignments): # if the textline is close. if h_distance < max_h_gap and v_distance < max_v_gap: tls_in_bbox.append(tl) - bbox = ( - min(bbox[0], tl.x0), - min(bbox[1], tl.y0), - max(bbox[2], tl.x1), - max(bbox[3], tl.y1) - ) + bbox = expand_bbox_with_textline(bbox, tl) del tls_search_space[i] if len(tls_in_bbox) > MINIMUM_TEXTLINES_IN_TABLE: return bbox @@ -461,19 +459,18 @@ class Hybrid(TextBaseParser): """ def __init__( - self, - table_regions=None, - table_areas=None, - columns=None, - flag_size=False, - split_text=False, - strip_text="", - edge_tol=None, - row_tol=2, - column_tol=0, - debug=False, - **kwargs - ): + self, + table_regions=None, + table_areas=None, + columns=None, + flag_size=False, + split_text=False, + strip_text="", + edge_tol=None, + row_tol=2, + column_tol=0, + debug=False, + **kwargs): super().__init__( "hybrid", table_regions=table_regions, diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index b8b82ed..84ce5a2 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -84,24 +84,23 @@ class Lattice(BaseParser): """ def __init__( - self, - table_regions=None, - table_areas=None, - process_background=False, - line_scale=15, - copy_text=None, - shift_text=None, - split_text=False, - flag_size=False, - strip_text="", - line_tol=2, - joint_tol=2, - threshold_blocksize=15, - threshold_constant=-2, - iterations=0, - resolution=300, - **kwargs - ): + self, + table_regions=None, + table_areas=None, + process_background=False, + line_scale=15, + copy_text=None, + shift_text=None, + split_text=False, + flag_size=False, + strip_text="", + line_tol=2, + joint_tol=2, + threshold_blocksize=15, + threshold_constant=-2, + iterations=0, + resolution=300, + **kwargs): super().__init__( "lattice", table_regions=table_regions, diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 8b72e09..988490f 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -50,18 +50,17 @@ class Stream(TextBaseParser): """ def __init__( - self, - table_regions=None, - table_areas=None, - columns=None, - flag_size=False, - split_text=False, - strip_text="", - edge_tol=50, - row_tol=2, - column_tol=0, - **kwargs - ): + self, + table_regions=None, + table_areas=None, + columns=None, + flag_size=False, + split_text=False, + strip_text="", + edge_tol=50, + row_tol=2, + column_tol=0, + **kwargs): super().__init__( "stream", table_regions=table_regions, diff --git a/camelot/plotting.py b/camelot/plotting.py index 12ba457..d3d7064 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -136,7 +136,7 @@ def prepare_plot(table, ax=None, to_pdf_scale=True): return ax -class PlotMethods(object): +class PlotMethods(): def __call__(self, table, kind="text", filename=None, ax=None): """Plot elements found on PDF page based on kind specified, useful for debugging and playing with different diff --git a/camelot/utils.py b/camelot/utils.py index a675580..cf85eb1 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -156,7 +156,7 @@ def remove_extra(kwargs, flavor="lattice"): # https://stackoverflow.com/a/22726782 # and https://stackoverflow.com/questions/10965479 -class TemporaryDirectory(object): +class TemporaryDirectory(): def __enter__(self): self.name = tempfile.mkdtemp() # Only delete the temporary directory upon @@ -488,6 +488,17 @@ def text_in_bbox_per_axis(bbox, horizontal_text, vertical_text): return t_bbox +def expand_bbox_with_textline(bbox, textline): + """Expand (if needed) a bbox so that it fits the parameter textline. + """ + return ( + min(bbox[0], textline.x0), + min(bbox[1], textline.y0), + max(bbox[2], textline.x1), + max(bbox[3], textline.y1) + ) + + def bbox_from_textlines(textlines): """Returns the smallest bbox containing all the text objects passed as a parameters. @@ -514,12 +525,7 @@ def bbox_from_textlines(textlines): ) for tl in textlines[1:]: - bbox = ( - min(bbox[0], tl.x0), - min(bbox[1], tl.y0), - max(bbox[2], tl.x1), - max(bbox[3], tl.y1) - ) + bbox = expand_bbox_with_textline(bbox, tl) return bbox @@ -1039,13 +1045,12 @@ def compute_whitespace(d): def get_page_layout( - filename, - char_margin=1.0, - line_margin=0.5, - word_margin=0.1, - detect_vertical=True, - all_texts=True, -): + filename, + char_margin=1.0, + line_margin=0.5, + word_margin=0.1, + detect_vertical=True, + all_texts=True): """Returns a PDFMiner LTPage object and page dimension of a single page pdf. See https://euske.github.io/pdfminer/ to get definitions of kwargs. @@ -1163,14 +1168,14 @@ def compare_tables(left, right): diff_cols = right.shape[1]-left.shape[1] diff_rows = right.shape[0]-left.shape[0] differences = [] - if (diff_rows): + if diff_rows: differences.append( "{diff_rows} {more_fewer} rows".format( diff_rows=abs(diff_rows), more_fewer='more' if diff_rows > 0 else 'fewer' ) ) - if (diff_cols): + if diff_cols: differences.append( "{diff_cols} {more_fewer} columns".format( diff_cols=abs(diff_cols), From 6add19ae271124be7bf4dbb4603873f7f2b333af Mon Sep 17 00:00:00 2001 From: Frh Date: Tue, 28 Apr 2020 11:46:12 -0700 Subject: [PATCH 47/60] Prep for vertical text improvements plot.text shows vertical text in red _generate_columns_and_rows split between hybrid and stream --- camelot/core.py | 12 +- camelot/parsers/base.py | 81 +---------- camelot/parsers/hybrid.py | 92 ++++++++++++- camelot/parsers/stream.py | 89 +++++++++++- camelot/plotting.py | 127 +++++++++--------- .../test_hybrid_contour_plot.png | Bin 107595 -> 105070 bytes .../test_hybrid_table_areas_text_plot.png | Bin 102562 -> 90065 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 102387 -> 91891 bytes .../test_hybrid_textedge_plot.png | Bin 115531 -> 103805 bytes .../test_stream_contour_plot.png | Bin 105437 -> 103336 bytes .../test_stream_textedge_plot.png | Bin 115733 -> 113722 bytes tests/files/baseline_plots/test_text_plot.png | Bin 72432 -> 60168 bytes 12 files changed, 250 insertions(+), 151 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 0cd7fa6..ee9adcd 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -171,11 +171,10 @@ class TextAlignments(): idx_insert = None if idx_closest is None: idx_insert = 0 - elif np.isclose( - alignment_array[idx_closest].coord, - coord, - atol=0.5 - ): + # Note: np.isclose is slow! + elif coord - 0.5 < \ + alignment_array[idx_closest].coord < \ + coord + 0.5: self._update_alignment( alignment_array[idx_closest], coord, @@ -460,7 +459,8 @@ class Table(): self._image = None self._image_path = None # Temporary file to hold an image of the pdf - self._text = [] # List of text box coordinates + self._text = [] # List of text box coordinates + self.textlines = [] # List of actual textlines on the page def __repr__(self): return "<{} shape={}>".format(self.__class__.__name__, self.shape) diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 4c18d77..0ad4c42 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -8,13 +8,11 @@ import pandas as pd from ..utils import ( bbox_from_str, - bbox_from_textlines, compute_accuracy, compute_whitespace, get_text_objects, get_table_index, text_in_bbox, - text_in_bbox_per_axis, ) from ..core import Table @@ -243,6 +241,7 @@ class BaseParser(): [(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) _text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) table._text = _text + table.textlines = self.horizontal_text + self.vertical_text class TextBaseParser(BaseParser): @@ -454,84 +453,6 @@ class TextBaseParser(BaseParser): raise ValueError("Length of table_areas and columns" " should be equal") - def _generate_columns_and_rows(self, bbox, table_idx): - # select elements which lie within table_bbox - self.t_bbox = text_in_bbox_per_axis( - bbox, - self.horizontal_text, - self.vertical_text - ) - - text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( - self.t_bbox["horizontal"] + self.t_bbox["vertical"] - ) - rows_grouped = self._group_rows( - self.t_bbox["horizontal"], row_tol=self.row_tol) - rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - elements = [len(r) for r in rows_grouped] - - if self.columns is not None and self.columns[table_idx] != "": - # user has to input boundary columns too - # take (0, pdf_width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_idx].split(",") - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - else: - # calculate mode of the list of number of elements in - # each row to guess the number of columns - ncols = max(set(elements), key=elements.count) - if ncols == 1: - # if mode is 1, the page usually contains not tables - # but there can be cases where the list can be skewed, - # try to remove all 1s from list in this case and - # see if the list contains elements, if yes, then use - # the mode after removing 1s - elements = list(filter(lambda x: x != 1, elements)) - if elements: - ncols = max(set(elements), key=elements.count) - else: - warnings.warn( - "No tables found in table area {}" - .format(table_idx + 1) - ) - cols = [ - (t.x0, t.x1) - for r in rows_grouped - if len(r) == ncols - for t in r - ] - cols = self._merge_columns( - sorted(cols), - column_tol=self.column_tol - ) - inner_text = [] - for i in range(1, len(cols)): - left = cols[i - 1][1] - right = cols[i][0] - inner_text.extend( - [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > left and t.x1 < right - ] - ) - outer_text = [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > cols[-1][1] or t.x1 < cols[0][0] - ] - inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, self.row_tol) - cols = self._join_columns(cols, text_x_min, text_x_max) - - return cols, rows, None, None - def record_parse_metadata(self, table): """Record data about the origin of the table """ diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index bff0d58..b686df0 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -6,6 +6,7 @@ from __future__ import division import copy import math import numpy as np +import warnings from .base import TextBaseParser from ..core import ( @@ -20,7 +21,8 @@ from ..utils import ( text_in_bbox, bbox_from_textlines, distance_tl_to_bbox, - find_columns_coordinates + find_columns_coordinates, + text_in_bbox_per_axis, ) # maximum number of columns over which a header can spread @@ -574,3 +576,91 @@ class Hybrid(TextBaseParser): lambda tl: tl not in textlines_processed, textlines )) + + def _generate_columns_and_rows(self, bbox, table_idx): + # select elements which lie within table_bbox + self.t_bbox = text_in_bbox_per_axis( + bbox, + self.horizontal_text, + self.vertical_text + ) + + all_tls = list( + filter( + lambda tl: len(tl.get_text().strip()) > 0, + self.t_bbox["horizontal"] # + self.t_bbox["vertical"] + ) + ) + text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( + all_tls + ) + # FRHTODO: + # This algorithm takes the horizontal textlines in the bbox, and groups + # them into rows based on their bottom y0. + # That's wrong: it misses the vertical items, and misses out on all + # the alignment identification work we've done earlier. + rows_grouped = self._group_rows(all_tls, row_tol=self.row_tol) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) + elements = [len(r) for r in rows_grouped] + + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + cols = self.columns[table_idx].split(",") + cols = [float(c) for c in cols] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + else: + # calculate mode of the list of number of elements in + # each row to guess the number of columns + ncols = max(set(elements), key=elements.count) + if ncols == 1: + # if mode is 1, the page usually contains not tables + # but there can be cases where the list can be skewed, + # try to remove all 1s from list in this case and + # see if the list contains elements, if yes, then use + # the mode after removing 1s + elements = list(filter(lambda x: x != 1, elements)) + if elements: + ncols = max(set(elements), key=elements.count) + else: + warnings.warn( + "No tables found in table area {}" + .format(table_idx + 1) + ) + cols = [ + (t.x0, t.x1) + for r in rows_grouped + if len(r) == ncols + for t in r + ] + cols = self._merge_columns( + sorted(cols), + column_tol=self.column_tol + ) + inner_text = [] + for i in range(1, len(cols)): + left = cols[i - 1][1] + right = cols[i][0] + inner_text.extend( + [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > left and t.x1 < right + ] + ) + outer_text = [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > cols[-1][1] or t.x1 < cols[0][0] + ] + inner_text.extend(outer_text) + cols = self._add_columns(cols, inner_text, self.row_tol) + cols = self._join_columns(cols, text_x_min, text_x_max) + + return cols, rows, None, None diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 988490f..6a1da23 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -2,11 +2,15 @@ from __future__ import division +import warnings + from .base import TextBaseParser from ..core import TextEdges from ..utils import ( bbox_from_str, - text_in_bbox + bbox_from_textlines, + text_in_bbox, + text_in_bbox_per_axis, ) @@ -124,3 +128,86 @@ class Stream(TextBaseParser): for area_str in self.table_areas: table_bbox[bbox_from_str(area_str)] = None self.table_bbox = table_bbox + + def _generate_columns_and_rows(self, bbox, table_idx): + # select elements which lie within table_bbox + self.t_bbox = text_in_bbox_per_axis( + bbox, + self.horizontal_text, + self.vertical_text + ) + + text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( + self.t_bbox["horizontal"] + self.t_bbox["vertical"] + ) + # FRHTODO: + # This algorithm takes the horizontal textlines in the bbox, and groups + # them into rows based on their bottom y0. + # That's wrong: it misses the vertical items, and misses out on all + # the alignment identification work we've done earlier. + rows_grouped = self._group_rows( + self.t_bbox["horizontal"], row_tol=self.row_tol) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) + elements = [len(r) for r in rows_grouped] + + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + cols = self.columns[table_idx].split(",") + cols = [float(c) for c in cols] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + else: + # calculate mode of the list of number of elements in + # each row to guess the number of columns + ncols = max(set(elements), key=elements.count) + if ncols == 1: + # if mode is 1, the page usually contains not tables + # but there can be cases where the list can be skewed, + # try to remove all 1s from list in this case and + # see if the list contains elements, if yes, then use + # the mode after removing 1s + elements = list(filter(lambda x: x != 1, elements)) + if elements: + ncols = max(set(elements), key=elements.count) + else: + warnings.warn( + "No tables found in table area {}" + .format(table_idx + 1) + ) + cols = [ + (t.x0, t.x1) + for r in rows_grouped + if len(r) == ncols + for t in r + ] + cols = self._merge_columns( + sorted(cols), + column_tol=self.column_tol + ) + inner_text = [] + for i in range(1, len(cols)): + left = cols[i - 1][1] + right = cols[i][0] + inner_text.extend( + [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > left and t.x1 < right + ] + ) + outer_text = [ + t + for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > cols[-1][1] or t.x1 < cols[0][0] + ] + inner_text.extend(outer_text) + cols = self._add_columns(cols, inner_text, self.row_tol) + cols = self._join_columns(cols, text_x_min, text_x_max) + + return cols, rows, None, None diff --git a/camelot/plotting.py b/camelot/plotting.py index d3d7064..6bf6102 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -8,7 +8,20 @@ except ImportError: else: _HAS_MPL = True -from .utils import (bbox_from_str, get_textline_coords) +from .utils import (bbox_from_str, bbox_from_textlines, get_textline_coords) + +from pdfminer.layout import ( + LTTextLineVertical, +) + + +def extend_axe_lim(ax, bbox, margin=10): + """Ensure the ax limits include the input bbox + """ + x0, x1 = ax.get_xlim() + y0, y1 = ax.get_ylim() + ax.set_xlim(min(x0, bbox[0] - margin), max(x1, bbox[2] + margin)) + ax.set_ylim(min(y0, bbox[1] - margin), max(y1, bbox[3] + margin)) def draw_labeled_bbox( @@ -17,6 +30,8 @@ def draw_labeled_bbox( linestyle="solid", label_pos="top,left" ): + """Utility drawing function to draw a box with an associated text label + """ ax.add_patch( patches.Rectangle( (bbox[0], bbox[1]), @@ -80,6 +95,37 @@ def draw_pdf(table, ax, to_pdf_scale=True): def draw_parse_constraints(table, ax): """Draw any user provided constraints (area, region, columns, etc) + Parameters + ---------- + table : camelot.core.Table + + ax : matplotlib.axes.Axes (optional) + + """ + if table.parse_details: + zone_constraints = { + "region": "table_regions", + "area": "table_areas", + } + for zone_name, zone_id in zone_constraints.items(): + # Display a bbox per region / area + for zone_str in table.parse_details[zone_id] or []: + draw_labeled_bbox( + ax, bbox_from_str(zone_str), + "{zone_name}: ({zone_str})".format( + zone_name=zone_name, + zone_str=zone_str + ), + color="purple", + linestyle="dotted", + linewidth=1, + label_pos="bottom,right" + ) + + +def draw_text(table, ax): + """Draw text, horizontal in blue, vertical in red + Parameters ---------- table : camelot.core.Table @@ -88,27 +134,19 @@ def draw_parse_constraints(table, ax): ax : matplotlib.axes.Axes """ - if table.parse_details: - # Display a bbox per region - for region_str in table.parse_details["table_regions"] or []: - draw_labeled_bbox( - ax, bbox_from_str(region_str), - "region: ({region_str})".format(region_str=region_str), - color="purple", - linestyle="dotted", - linewidth=1, - label_pos="bottom,right" - ) - # Display a bbox per area - for area_str in table.parse_details["table_areas"] or []: - draw_labeled_bbox( - ax, bbox_from_str(area_str), - "area: ({area_str})".format(area_str=area_str), - color="pink", - linestyle="dotted", - linewidth=1, - label_pos="bottom,right" + bbox = bbox_from_textlines(table.textlines) + for t in table.textlines: + color = "red" if isinstance(t, LTTextLineVertical) else "blue" + ax.add_patch( + patches.Rectangle( + (t.x0, t.y0), + t.x1 - t.x0, + t.y1 - t.y0, + color=color, + alpha=0.2 + ) ) + extend_axe_lim(ax, bbox) def prepare_plot(table, ax=None, to_pdf_scale=True): @@ -188,20 +226,7 @@ class PlotMethods(): """ ax = prepare_plot(table, ax) - xs, ys = [], [] - for t in table._text: - xs.extend([t[0], t[2]]) - ys.extend([t[1], t[3]]) - ax.add_patch( - patches.Rectangle( - (t[0], t[1]), - t[2] - t[0], - t[3] - t[1], - alpha=0.5 - ) - ) - ax.set_xlim(min(xs) - 10, max(xs) + 10) - ax.set_ylim(min(ys) - 10, max(ys) + 10) + draw_text(table, ax) return ax.get_figure() @staticmethod @@ -255,18 +280,8 @@ class PlotMethods(): else: table_bbox = {table._bbox: None} - xs, ys = [], [] if not _FOR_LATTICE: - for t in table._text: - xs.extend([t[0], t[2]]) - ys.extend([t[1], t[3]]) - ax.add_patch( - patches.Rectangle( - (t[0], t[1]), t[2] - t[0], t[3] - t[1], - color="blue", - alpha=0.5 - ) - ) + draw_text(table, ax) for t in table_bbox.keys(): ax.add_patch( @@ -276,10 +291,8 @@ class PlotMethods(): ) ) if not _FOR_LATTICE: - xs.extend([t[0], t[2]]) - ys.extend([t[1], t[3]]) - ax.set_xlim(min(xs) - 10, max(xs) + 10) - ax.set_ylim(min(ys) - 10, max(ys) + 10) + extend_axe_lim(ax, t) + return ax.get_figure() @staticmethod @@ -297,19 +310,7 @@ class PlotMethods(): """ ax = prepare_plot(table, ax) - xs, ys = [], [] - for t in table._text: - xs.extend([t[0], t[2]]) - ys.extend([t[1], t[3]]) - ax.add_patch( - patches.Rectangle( - (t[0], t[1]), t[2] - t[0], t[3] - t[1], - color="blue", - alpha=0.2 - ) - ) - ax.set_xlim(min(xs) - 10, max(xs) + 10) - ax.set_ylim(min(ys) - 10, max(ys) + 10) + draw_text(table, ax) if table.flavor == "hybrid": for network in table.parse_details["network_searches"]: diff --git a/tests/files/baseline_plots/test_hybrid_contour_plot.png b/tests/files/baseline_plots/test_hybrid_contour_plot.png index 26d2b571c98bc64f0d36a6b62877a00910b90d23..10b3b1de1a812768533fbfd329be8d2d3d683d9b 100644 GIT binary patch literal 105070 zcmeFZWmJ?=`!5WlgeW2kNDdenbT=r1fFL1VLxZ$1bd9u z&~Y|C|7V>q?^^F#XRY(?xX^KC?$~?ZdtcY}i_I4$1?k&2sc+)o;M|s#k$jJXgU5h_ zb4`;FAAFMN?E4YCT!%@>suF@fo`fc!!F!^QGFmVkoI8eBe{p|^=URXd1stU`9aZei z99;|@OmS=s9Y0#zIa*s7F*ut#z%1-+x!JhbI9V7zI68h5VrT!~-?P~{n6qc?3QgeP zFyP2azEX8fUY~Z;RUJ8P+PQ;w3r{FGSnGT@NzNkHMk3EAXNk|&pgJcnJCi9V)+#a9 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-0700 Subject: [PATCH 48/60] Create notebook to help debug hybrid parser algo Plot vertical col anchors found by hybrid parser Include vertical text in col/row generation --- camelot/parsers/hybrid.py | 13 +- camelot/plotting.py | 11 ++ notebook-hybrid-parser.ipynb | 157 ++++++++---------- parser-comparison-notebook.ipynb | 111 ++++++------- .../test_hybrid_textedge_plot.png | Bin 103805 -> 103779 bytes 5 files changed, 141 insertions(+), 151 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index b686df0..c26f5a0 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -384,8 +384,8 @@ class TextNetworks(TextAlignments): bbox = (most_aligned_tl.x0, most_aligned_tl.y0, most_aligned_tl.x1, most_aligned_tl.y1) - # For the body of the table, we only consider cells with alignments - # on both axis. + # For the body of the table, we only consider cells that have + # alignments on both axis. tls_search_space = list(self._textline_to_alignments.keys()) # tls_search_space = [] tls_search_space.remove(most_aligned_tl) @@ -586,9 +586,12 @@ class Hybrid(TextBaseParser): ) all_tls = list( - filter( - lambda tl: len(tl.get_text().strip()) > 0, - self.t_bbox["horizontal"] # + self.t_bbox["vertical"] + sorted( + filter( + lambda tl: len(tl.get_text().strip()) > 0, + self.t_bbox["horizontal"] + self.t_bbox["vertical"] + ), + key=lambda tl: (-tl.y0, tl.x0) ) ) text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( diff --git a/camelot/plotting.py b/camelot/plotting.py index 6bf6102..a0caa34 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -487,5 +487,16 @@ class PlotMethods(): linewidth=2, label_pos="bottom,left" ) + for col_anchor in col_search["cols_anchors"]: + # Display a green line at the col boundary line throughout the + # table bbox. + ax.plot( + [col_anchor, col_anchor], + [ + col_search["core_bbox"][1] - 10, + col_search["core_bbox"][3] + 10, + ], + color="green" + ) return ax.get_figure() diff --git a/notebook-hybrid-parser.ipynb b/notebook-hybrid-parser.ipynb index 25a9f55..69adc6e 100644 --- a/notebook-hybrid-parser.ipynb +++ b/notebook-hybrid-parser.ipynb @@ -1,27 +1,4 @@ { - "nbformat": 4, - "nbformat_minor": 2, - "metadata": { - "language_info": { - "name": "python", - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "version": "3.7.7-final" - }, - "orig_nbformat": 2, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "npconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": 3, - "kernelspec": { - "name": "python37764bit8418972e58f441528b05b4b21a1f095d", - "display_name": "Python 3.7.7 64-bit" - } - }, "cells": [ { "cell_type": "markdown", @@ -32,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -41,7 +18,7 @@ "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'" }, "metadata": {}, - "execution_count": 44 + "execution_count": 1 } ], "source": [ @@ -74,26 +51,24 @@ "testdir = os.path.join(testdir, \"camelot/tests/files\")\n", "\n", "# Set up plots to be large enough for visualization\n", - "plt.rcParams[\"figure.figsize\"] = [26, 12]\n", "\n", "# To check which library we're using\n", - "camelot.__file__\n", - "" + "camelot.__file__\n" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "kwargs = {}\n", "data = None\n", - "# pdf_file = \"vertical_header.pdf\"\n", + "pdf_file = \"vertical_header.pdf\" # test_hybrid_vertical_header\n", "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", - "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", @@ -108,61 +83,48 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 3, "metadata": {}, "outputs": [ { - "output_type": "display_data", - "data": { - "text/plain": " 0 \\\n0 Program. Represents arrests reported (not char... \n1 by the FBI. Some persons may be arrested more ... \n2 could represent multiple arrests of the same p... \n3 \n4 Offense charged \n5 \n6 Total .\\n .\\n . . . . . .\\n . .\\n . .... \n7 Violent crime . . . . . . . .\\n . .\\... \n8 Murder and nonnegligent \n9 manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n10 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... \n11 Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n... \n12 Aggravated assault . . . . . . . .\\n. .\\n. .\\n. \n13 Property crime . . . .\\n . .\\n . . .\\n ... \n14 Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n... \n15 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... \n16 Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n... \n17 Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n... \n18 Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . .... \n19 Forgery and counterfeiting .\\n. . . . . . .\\n. \n20 Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.... \n21 Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . .... \n22 Stolen property 1 . . . . . . .\\n. . .\\n. .\\n... \n23 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... \n24 Weapons; carrying, possessing, etc. . \n25 Prostitution and commercialized vice \n26 Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. .... \n27 Drug abuse violations . . . . . . . .\\n. .\\n.\\n. \n28 Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. .... \n29 Offenses against the family and \n30 children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\... \n31 Driving under the influence . . . . . .\\n. . \n32 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n33 Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\... \n34 Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ... \n35 Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. .... \n36 All other offenses (except traffic) . . .\\n. \n37 Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .... \n38 Curfew and loitering law violations .\\n. \n39 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... \n40 \n\n 1 2 3 \\\n0 \n1 \n2 \n3 Total \n4 Under 18 18 years \n5 Total years and over \n6 11,062 .6 1,540 .0 9,522 .6 \n7 467 .9 69 .1 398 .8 \n8 \n9 10.0 0.9 9.1 \n10 17.5 2.6 14.9 \n11 102.1 25.5 76.6 \n12 338.4 40.1 298.3 \n13 1,396 .4 338 .7 1,057 .7 \n14 240.9 60.3 180.6 \n15 1,080.1 258.1 822.0 \n16 65.6 16.0 49.6 \n17 9.8 4.3 5.5 \n18 1,061.3 175.3 886.1 \n19 68.9 1.7 67.2 \n20 173.7 5.1 168.5 \n21 14.6 – 14.1 \n22 84.3 15.1 69.2 \n23 217.4 72.7 144.7 \n24 132.9 27.1 105.8 \n25 56.9 1.1 55.8 \n26 61.5 10.7 50.7 \n27 1,333.0 136.6 1,196.4 \n28 8.2 1.4 6.8 \n29 \n30 92.4 3.7 88.7 \n31 1,158.5 109.2 1,147.5 \n32 48.2 90.2 368.0 \n33 488.1 11.4 476.8 \n34 529.5 136.1 393.3 \n35 26.6 2.2 24.4 \n36 306.1 263.4 2,800.8 \n37 1.6 – 1.4 \n38 91.0 91.0 (X) \n39 75.8 75.8 (X) \n40 – Represents zero. X Not applicable. 1 Buying,... \n\n 4 5 6 7 8 9 \n0 \n1 \n2 \n3 Male Female \n4 Under 18 18 years Under 18 18 years \n5 Total years and over Total years and over \n6 8,263 .3 1,071 .6 7,191 .7 2,799 .2 468 .3 2,330 .9 \n7 380 .2 56 .5 323 .7 87 .7 12 .6 75 .2 \n8 \n9 9.0 0.9 8.1 1.1 – 1.0 \n10 17.2 2.5 14.7 – – – \n11 90.0 22.9 67.1 12.1 2.5 9.5 \n12 264.0 30.2 233.8 74.4 9.9 64.5 \n13 875 .9 210 .8 665 .1 608 .2 127 .9 392 .6 \n14 205.0 53.4 151.7 35.9 6.9 29.0 \n15 608.8 140.5 468.3 471.3 117.6 353.6 \n16 53.9 13.3 40.7 11.7 2.7 8.9 \n17 8.1 3.7 4.4 1.7 0.6 1.1 \n18 785.4 115.4 670.0 276.0 59.9 216.1 \n19 42.9 1.2 41.7 26.0 0.5 25.5 \n20 98.4 3.3 95.0 75.3 1.8 73.5 \n21 7.2 – 6.9 7.4 – 7.2 \n22 66.7 12.2 54.5 17.6 2.8 14.7 \n23 178.1 62.8 115.3 39.3 9.9 29.4 \n24 122.1 24.3 97.8 10.8 2.8 8.0 \n25 17.3 – 17.1 39.6 0.8 38.7 \n26 56.1 9.6 46.5 5.4 1.1 4.3 \n27 1,084.3 115.2 969.1 248.7 21.4 227.3 \n28 7.2 1.4 5.9 0.9 – 0.9 \n29 \n30 68.9 2.4 66.6 23.4 1.3 22.1 \n31 895.8 8.2 887.6 262.7 2.7 260.0 \n32 326.8 55.4 271.4 131.4 34.7 96.6 \n33 406.8 8.5 398.3 81.3 2.9 78.4 \n34 387.1 90.8 296.2 142.4 45.3 97.1 \n35 20.9 1.6 19.3 5.7 0.6 5.1 \n36 2,337.1 194.2 2,142.9 727.0 69.2 657.9 \n37 1.2 – 1.0 – – – \n38 63.1 63.1 (X) 28.0 28.0 (X) \n39 34.0 34.0 (X) 41.8 41.8 (X) \n40 ", - "text/html": "

    \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    0123456789
    0Program. Represents arrests reported (not char...
    1by the FBI. Some persons may be arrested more ...
    2could represent multiple arrests of the same p...
    3TotalMaleFemale
    4Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    5Totalyearsand overTotalyearsand overTotalyearsand over
    6Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    7Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    8Murder and nonnegligent
    9manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    10Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    11Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    12Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    13Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    14Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    15Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    16Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    17Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    18Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    19Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    20Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    21Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    22Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    23Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    24Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    25Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    26Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    27Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    28Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    29Offenses against the family and
    30children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    31Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    32Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    33Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    34Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    35Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    36All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    37Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    38Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    39Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    40– Represents zero. X Not applicable. 1 Buying,...
    \n
    " - }, - "metadata": {} + "output_type": "stream", + "name": "stdout", + "text": "Found 1 tables (37x2) in 0.21s\n" }, { "output_type": "display_data", "data": { - "text/plain": " 0 \\\n0 Offense charged \n1 \n2 Total .\\n .\\n . . . . . .\\n . .\\n . .... \n\n 1 \\\n0 Total \n1 Under 18 \\n18 years \\nTotal\\nyears\\nand over \n2 11,062 .6\\n1,540 .0\\n9,522 .6\\n467 .9\\n69 .1\\n... \n\n 2 \\\n0 Male \n1 Under 18 \\n18 years \\nTotal\\nyears\\nand over \n2 8,263 .3\\n1,071 .6\\n7,191 .7\\n380 .2\\n56 .5\\n3... \n\n 3 \n0 Female \n1 Under 18 \\n18 years \\nTotal\\nyears\\nand over \n2 2,799 .2\\n468 .3\\n2,330 .9\\n87 .7\\n12 .6\\n75 .... ", - "text/html": "
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    0123
    0Offense chargedTotalMaleFemale
    1Under 18 \\n18 years \\nTotal\\nyears\\nand overUnder 18 \\n18 years \\nTotal\\nyears\\nand overUnder 18 \\n18 years \\nTotal\\nyears\\nand over
    2Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .6\\n1,540 .0\\n9,522 .6\\n467 .9\\n69 .1\\n...8,263 .3\\n1,071 .6\\n7,191 .7\\n380 .2\\n56 .5\\n3...2,799 .2\\n468 .3\\n2,330 .9\\n87 .7\\n12 .6\\n75 ....
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    24LesRouges12CL
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    33A.O.PChâteauneufduPape
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    36DomaineLionnet«TerreBrûlée»201215€
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    0TotalMaleFemale
    1Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    2Totalyearsand overTotalyearsand overTotalyearsand over
    3Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    4Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    5Murder and nonnegligent
    6manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    7Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    8Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    9Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    10Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    11Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    12Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    13Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    14Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    15Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    16Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    17Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    18Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    19Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    20Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    21Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    22Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    23Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    24Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    25Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    26Offenses against the family and
    27children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    28Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    29Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    30Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    31Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    32Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    33All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    34Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    35Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    36Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } + "metadata": {}, + "execution_count": 3 } ], "source": [ "\n", - "fig, axes = plt.subplots(1, 3)\n", + "PLOT_TYPES = [\"text\", \"grid\", \"hybrid_table_search\"]\n", + "PLOT_HEIGHT = 12\n", + "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * 2.5, PLOT_HEIGHT]\n", + "fig, axes = plt.subplots(1, len(PLOT_TYPES))\n", "fig.suptitle('Side-by-side Flavor Review')\n", "tables_list = []\n", - "for idx, flavor in enumerate([\"stream\", \"lattice\", \"hybrid\"]):\n", - " timer_before_parse = time.perf_counter()\n", - " tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", - " tables_list.append(tables)\n", - " timer_after_parse = time.perf_counter()\n", - " ax = axes[idx]\n", - " if len(tables):\n", - " display(tables[0].df)\n", - " for table in tables:\n", - " fig = camelot.plot(table, kind='grid', ax=ax)\n", - " ax.set_title(\"{flavor}\".format(flavor=flavor))\n", + "flavor = \"hybrid\"\n", + "timer_before_parse = time.perf_counter()\n", + "tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", + "tables_list.append(tables)\n", + "timer_after_parse = time.perf_counter()\n", + "\n", + "if len(tables):\n", " tables_dims = \", \".join(\n", " map(\n", " lambda table: \"{rows}x{cols}\".format(\n", @@ -171,26 +133,47 @@ " ), tables\n", " )\n", " )\n", - " ax.text(\n", - " 0.5,-0.1, \n", - " \"Found {table_num} tables ({tables_dims}) in {parse_time:.2f}s\".format(\n", - " table_num=len(tables),\n", - " tables_dims=tables_dims,\n", - " parse_time=timer_after_parse - timer_before_parse,\n", - " ), \n", - " size=12, ha=\"center\", \n", - " transform=ax.transAxes\n", - " )\n", - " timer_after_plot = time.perf_counter()\n", - "" + " print(\"Found {table_num} tables ({tables_dims}) in {parse_time:.2f}s\".format(\n", + " table_num=len(tables),\n", + " tables_dims=tables_dims,\n", + " parse_time=timer_after_parse - timer_before_parse,\n", + " ))\n", + " for table in tables:\n", + " display(table.df)\n", + " for plot_idx, plot_id in enumerate(PLOT_TYPES):\n", + " ax = axes[plot_idx]\n", + " fig = camelot.plot(table, kind=plot_id, ax=ax)\n", + " ax.set_title(\"{flavor} - {plot_id}\".format(\n", + " flavor=flavor,\n", + " plot_id=plot_id,\n", + " ))\n", + "\n", + "timer_after_plot = time.perf_counter()\n", + "fig\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } - ] + ], + "metadata": { + "language_info": { + "name": "python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "version": "3.7.7-final" + }, + "orig_nbformat": 2, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "npconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": 3, + "kernelspec": { + "name": "python37764bit8418972e58f441528b05b4b21a1f095d", + "display_name": "Python 3.7.7 64-bit" + } + }, + "nbformat": 4, + "nbformat_minor": 2 } \ No newline at end of file diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb index 25a9f55..fb56192 100644 --- a/parser-comparison-notebook.ipynb +++ b/parser-comparison-notebook.ipynb @@ -1,27 +1,4 @@ { - "nbformat": 4, - "nbformat_minor": 2, - "metadata": { - "language_info": { - "name": "python", - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "version": "3.7.7-final" - }, - "orig_nbformat": 2, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "npconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": 3, - "kernelspec": { - "name": "python37764bit8418972e58f441528b05b4b21a1f095d", - "display_name": "Python 3.7.7 64-bit" - } - }, "cells": [ { "cell_type": "markdown", @@ -32,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -41,7 +18,7 @@ "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'" }, "metadata": {}, - "execution_count": 44 + "execution_count": 14 } ], "source": [ @@ -73,17 +50,13 @@ "testdir = os.path.dirname(os.path.abspath('.'))\n", "testdir = os.path.join(testdir, \"camelot/tests/files\")\n", "\n", - "# Set up plots to be large enough for visualization\n", - "plt.rcParams[\"figure.figsize\"] = [26, 12]\n", - "\n", "# To check which library we're using\n", - "camelot.__file__\n", - "" + "camelot.__file__\n" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -93,9 +66,9 @@ "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", - "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", - "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", + "pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", "# pdf_file = \"vertical_header.pdf\"\n", "# pdf_file = \"twotables_2.pdf\"\n", @@ -108,47 +81,50 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 20, "metadata": {}, "outputs": [ { - "output_type": "display_data", - "data": { - "text/plain": " 0 \\\n0 Program. Represents arrests reported (not char... \n1 by the FBI. Some persons may be arrested more ... \n2 could represent multiple arrests of the same p... \n3 \n4 Offense charged \n5 \n6 Total .\\n .\\n . . . . . .\\n . .\\n . .... \n7 Violent crime . . . . . . . .\\n . .\\... \n8 Murder and nonnegligent \n9 manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n10 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... \n11 Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n... \n12 Aggravated assault . . . . . . . .\\n. .\\n. .\\n. \n13 Property crime . . . .\\n . .\\n . . .\\n ... \n14 Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n... \n15 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... \n16 Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n... \n17 Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n... \n18 Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . .... \n19 Forgery and counterfeiting .\\n. . . . . . .\\n. \n20 Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.... \n21 Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . .... \n22 Stolen property 1 . . . . . . .\\n. . .\\n. .\\n... \n23 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... \n24 Weapons; carrying, possessing, etc. . \n25 Prostitution and commercialized vice \n26 Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. .... \n27 Drug abuse violations . . . . . . . .\\n. .\\n.\\n. \n28 Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. .... \n29 Offenses against the family and \n30 children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\... \n31 Driving under the influence . . . . . .\\n. . \n32 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n33 Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\... \n34 Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ... \n35 Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. .... \n36 All other offenses (except traffic) . . .\\n. \n37 Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .... \n38 Curfew and loitering law violations .\\n. \n39 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... \n40 \n\n 1 2 3 \\\n0 \n1 \n2 \n3 Total \n4 Under 18 18 years \n5 Total years and over \n6 11,062 .6 1,540 .0 9,522 .6 \n7 467 .9 69 .1 398 .8 \n8 \n9 10.0 0.9 9.1 \n10 17.5 2.6 14.9 \n11 102.1 25.5 76.6 \n12 338.4 40.1 298.3 \n13 1,396 .4 338 .7 1,057 .7 \n14 240.9 60.3 180.6 \n15 1,080.1 258.1 822.0 \n16 65.6 16.0 49.6 \n17 9.8 4.3 5.5 \n18 1,061.3 175.3 886.1 \n19 68.9 1.7 67.2 \n20 173.7 5.1 168.5 \n21 14.6 – 14.1 \n22 84.3 15.1 69.2 \n23 217.4 72.7 144.7 \n24 132.9 27.1 105.8 \n25 56.9 1.1 55.8 \n26 61.5 10.7 50.7 \n27 1,333.0 136.6 1,196.4 \n28 8.2 1.4 6.8 \n29 \n30 92.4 3.7 88.7 \n31 1,158.5 109.2 1,147.5 \n32 48.2 90.2 368.0 \n33 488.1 11.4 476.8 \n34 529.5 136.1 393.3 \n35 26.6 2.2 24.4 \n36 306.1 263.4 2,800.8 \n37 1.6 – 1.4 \n38 91.0 91.0 (X) \n39 75.8 75.8 (X) \n40 – Represents zero. 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    0123456789
    0Program. Represents arrests reported (not char...
    1by the FBI. Some persons may be arrested more ...
    2could represent multiple arrests of the same p...
    3TotalMaleFemale
    4Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    5Totalyearsand overTotalyearsand overTotalyearsand over
    6Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    7Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    8Murder and nonnegligent
    9manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    10Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    11Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    12Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    13Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    14Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    15Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    16Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    17Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    18Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    19Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    20Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    21Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    22Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    23Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    24Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    25Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    26Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    27Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    28Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    29Offenses against the family and
    30children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    31Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    32Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    33Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    34Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    35Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    36All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    37Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    38Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    39Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    40– Represents zero. X Not applicable. 1 Buying,...
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    " }, "metadata": {} }, + { + "output_type": "stream", + "name": "stdout", + "text": "Showing first table found by hybrid:\n" + }, { "output_type": "display_data", "data": { - "text/plain": " 0 1 2 \\\n0 Total \n1 Offense charged Under 18 \n2 Total years \n3 Total .\\n .\\n . . . . . .\\n . .\\n . .... 11,062 .6 1,540 .0 \n4 Violent crime . . . . . . . .\\n . .\\... 467 .9 69 .1 \n5 Murder and nonnegligent \n6 manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n.... 10.0 0.9 \n7 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... 17.5 2.6 \n8 Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n... 102.1 25.5 \n9 Aggravated assault . . . . . . . .\\n. .\\n. .\\n. 338.4 40.1 \n10 Property crime . . . .\\n . .\\n . . .\\n ... 1,396 .4 338 .7 \n11 Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n... 240.9 60.3 \n12 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... 1,080.1 258.1 \n13 Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n... 65.6 16.0 \n14 Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n... 9.8 4.3 \n15 Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . .... 1,061.3 175.3 \n16 Forgery and counterfeiting .\\n. . . . . . .\\n. 68.9 1.7 \n17 Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.... 173.7 5.1 \n18 Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . .... 14.6 – \n19 Stolen property 1 . . . . . . .\\n. . .\\n. .\\n... 84.3 15.1 \n20 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... 217.4 72.7 \n21 Weapons; carrying, possessing, etc. . 132.9 27.1 \n22 Prostitution and commercialized vice 56.9 1.1 \n23 Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. .... 61.5 10.7 \n24 Drug abuse violations . . . . . . . .\\n. .\\n.\\n. 1,333.0 136.6 \n25 Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. .... 8.2 1.4 \n26 Offenses against the family and \n27 children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\... 92.4 3.7 \n28 Driving under the influence . . . . . .\\n. . 1,158.5 109.2 \n29 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... 48.2 90.2 \n30 Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\... 488.1 11.4 \n31 Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ... 529.5 136.1 \n32 Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. .... 26.6 2.2 \n33 All other offenses (except traffic) . . .\\n. 306.1 263.4 \n34 Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .... 1.6 – \n35 Curfew and loitering law violations .\\n. 91.0 91.0 \n36 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... 75.8 75.8 \n\n 3 4 5 6 7 8 9 \n0 Male Female \n1 18 years Under 18 18 years Under 18 18 years \n2 and over Total years and over Total years and over \n3 9,522 .6 8,263 .3 1,071 .6 7,191 .7 2,799 .2 468 .3 2,330 .9 \n4 398 .8 380 .2 56 .5 323 .7 87 .7 12 .6 75 .2 \n5 \n6 9.1 9.0 0.9 8.1 1.1 – 1.0 \n7 14.9 17.2 2.5 14.7 – – – \n8 76.6 90.0 22.9 67.1 12.1 2.5 9.5 \n9 298.3 264.0 30.2 233.8 74.4 9.9 64.5 \n10 1,057 .7 875 .9 210 .8 665 .1 608 .2 127 .9 392 .6 \n11 180.6 205.0 53.4 151.7 35.9 6.9 29.0 \n12 822.0 608.8 140.5 468.3 471.3 117.6 353.6 \n13 49.6 53.9 13.3 40.7 11.7 2.7 8.9 \n14 5.5 8.1 3.7 4.4 1.7 0.6 1.1 \n15 886.1 785.4 115.4 670.0 276.0 59.9 216.1 \n16 67.2 42.9 1.2 41.7 26.0 0.5 25.5 \n17 168.5 98.4 3.3 95.0 75.3 1.8 73.5 \n18 14.1 7.2 – 6.9 7.4 – 7.2 \n19 69.2 66.7 12.2 54.5 17.6 2.8 14.7 \n20 144.7 178.1 62.8 115.3 39.3 9.9 29.4 \n21 105.8 122.1 24.3 97.8 10.8 2.8 8.0 \n22 55.8 17.3 – 17.1 39.6 0.8 38.7 \n23 50.7 56.1 9.6 46.5 5.4 1.1 4.3 \n24 1,196.4 1,084.3 115.2 969.1 248.7 21.4 227.3 \n25 6.8 7.2 1.4 5.9 0.9 – 0.9 \n26 \n27 88.7 68.9 2.4 66.6 23.4 1.3 22.1 \n28 1,147.5 895.8 8.2 887.6 262.7 2.7 260.0 \n29 368.0 326.8 55.4 271.4 131.4 34.7 96.6 \n30 476.8 406.8 8.5 398.3 81.3 2.9 78.4 \n31 393.3 387.1 90.8 296.2 142.4 45.3 97.1 \n32 24.4 20.9 1.6 19.3 5.7 0.6 5.1 \n33 2,800.8 2,337.1 194.2 2,142.9 727.0 69.2 657.9 \n34 1.4 1.2 – 1.0 – – – \n35 (X) 63.1 63.1 (X) 28.0 28.0 (X) \n36 (X) 34.0 34.0 (X) 41.8 41.8 (X) ", - "text/html": "
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    0123456789
    0TotalMaleFemale
    1Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    2Totalyearsand overTotalyearsand overTotalyearsand over
    3Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    4Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    5Murder and nonnegligent
    6manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    7Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    8Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    9Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    10Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    11Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    12Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    13Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    14Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    15Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    16Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    17Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    18Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    19Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    20Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    21Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    22Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    23Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    24Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    25Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    26Offenses against the family and
    27children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    28Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    29Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    30Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    31Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    32Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    33All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    34Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    35Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    36Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    \n
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    ", - "image/svg+xml": "\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", - "image/png": 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\n" }, - "metadata": { - "needs_background": "light" - } + "metadata": {}, + "execution_count": 20 } ], "source": [ "\n", + "# Set up plots to be large enough for visualization\n", + "plt.rcParams[\"figure.figsize\"] = [26, 12]\n", "fig, axes = plt.subplots(1, 3)\n", "fig.suptitle('Side-by-side Flavor Review')\n", "tables_list = []\n", @@ -159,6 +135,7 @@ " timer_after_parse = time.perf_counter()\n", " ax = axes[idx]\n", " if len(tables):\n", + " print(f\"Showing first table found by {flavor}:\")\n", " display(tables[0].df)\n", " for table in tables:\n", " fig = camelot.plot(table, kind='grid', ax=ax)\n", @@ -182,15 +159,31 @@ " transform=ax.transAxes\n", " )\n", " timer_after_plot = time.perf_counter()\n", - "" + "fig" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } - ] + ], + "metadata": { + "language_info": { + "name": "python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "version": "3.7.7-final" + }, 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z^Z&yu4Lq`V~w%so2#bi1v0Z@$I)rrqAF zpNV>zuVww&Xh-MD-Syg?J5u`PaY255zS$N9gfj$aNzt>hmF2fVywj|J{1ph-Ot)Ae zoDk$Ewuk}_8{r_-&Ly^KRDy$pdrSHhqWz<%=QTjPq&=@rBId1awru~t_wQH~eV>B+ rpX>nV0yjo+aN_^}!~aLm#ytjXTK=unQ(udR-%3_eUZO Date: Tue, 28 Apr 2020 22:43:55 -0700 Subject: [PATCH 49/60] Improve hybrid table body discovery algo While searching for table body boundaries, exclude rows that include cells crossing previously discovered rows. --- camelot/parsers/hybrid.py | 114 +++++++++++++++--- camelot/plotting.py | 10 +- camelot/utils.py | 48 ++------ notebook-hybrid-parser.ipynb | 61 ++++++++-- parser-comparison-notebook.ipynb | 73 +++++------ .../test_hybrid_contour_plot.png | Bin 105070 -> 105048 bytes .../test_hybrid_table_areas_text_plot.png | Bin 90065 -> 90041 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 91891 -> 91681 bytes 8 files changed, 192 insertions(+), 114 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index c26f5a0..a3409de 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -17,10 +17,8 @@ from ..core import ( ) from ..utils import ( bbox_from_str, - expand_bbox_with_textline, text_in_bbox, bbox_from_textlines, - distance_tl_to_bbox, find_columns_coordinates, text_in_bbox_per_axis, ) @@ -46,6 +44,44 @@ def column_spread(left, right, col_anchors): return index_right - index_left +def find_closest_tls(bbox, tls): + """ Search for tls that are the closest but outside in all 4 directions + """ + closest = { + "left": None, + "right": None, + "top": None, + "bottom": None, + } + (bbox_left, bbox_bottom, bbox_right, bbox_top) = bbox + for tl in tls: + if tl.x1 < bbox_left: + # Left: check it overlaps horizontally + if tl.y0 > bbox_top or tl.y1 < bbox_bottom: + continue + if closest["left"] is None or closest["left"].x1 < tl.x1: + closest["left"] = tl + elif bbox_right < tl.x0: + # Right: check it overlaps horizontally + if tl.y0 > bbox_top or tl.y1 < bbox_bottom: + continue + if closest["right"] is None or closest["right"].x0 > tl.x0: + closest["right"] = tl + else: + # Either bottom or top: must overlap vertically + if tl.x0 > bbox_right or tl.x1 < bbox_left: + continue + elif tl.y1 < bbox_bottom: + # Bottom + if closest["bottom"] is None or closest["bottom"].y1 < tl.y1: + closest["bottom"] = tl + elif bbox_top < tl.y0: + # Top + if closest["top"] is None or closest["top"].y0 > tl.y0: + closest["top"] = tl + return closest + + def search_header_from_body_bbox(body_bbox, textlines, col_anchors, max_v_gap): """Expand a bbox vertically up by looking for plausible headers. @@ -346,14 +382,16 @@ class TextNetworks(TextAlignments): return gaps_hv def _build_bbox_candidate(self, gaps_hv, parse_details=None): - """ Seed the process with the textline with the highest alignment + """ Build a candidate bbox for the body of a table using hybrid algo + + Seed the process with the textline with the highest alignment score, then expand the bbox with textlines within threshold. Parameters ---------- gaps_hv : tuple - The maximum distance allowed to consider surrounding lines/columns - as part of the same table. + The maximum distance allowed to consider surrounding lines/columns + as part of the same table. parse_details : array (optional) Optional parameter array, in which to store extra information to help later visualization of the table creation. @@ -381,8 +419,8 @@ class TextNetworks(TextAlignments): else: parse_details_search = None - bbox = (most_aligned_tl.x0, most_aligned_tl.y0, - most_aligned_tl.x1, most_aligned_tl.y1) + bbox = [most_aligned_tl.x0, most_aligned_tl.y0, + most_aligned_tl.x1, most_aligned_tl.y1] # For the body of the table, we only consider cells that have # alignments on both axis. @@ -391,24 +429,64 @@ class TextNetworks(TextAlignments): tls_search_space.remove(most_aligned_tl) tls_in_bbox = [most_aligned_tl] last_bbox = None + last_cols_cand = [most_aligned_tl.x0, most_aligned_tl.x1] while last_bbox != bbox: if parse_details_search is not None: # Store debug info parse_details_search["iterations"].append(bbox) + # Check that the closest tls are within the gaps allowed last_bbox = bbox - # Go through all remaining textlines, expand our bbox - # if a textline is within our proximity tolerance - for i in range(len(tls_search_space) - 1, -1, -1): - tl = tls_search_space[i] - h_distance, v_distance = distance_tl_to_bbox(tl, bbox) + cand_bbox = last_bbox.copy() + closest_tls = find_closest_tls(bbox, tls_search_space) + for direction, tl in closest_tls.items(): + if tl is None: + continue + expanded_cand_bbox = cand_bbox.copy() + + if direction == "left": + if expanded_cand_bbox[0] - tl.x1 > gaps_hv[0]: + continue + expanded_cand_bbox[0] = tl.x0 + elif direction == "right": + if tl.x0 - expanded_cand_bbox[2] > gaps_hv[0]: + continue + expanded_cand_bbox[2] = tl.x1 + elif direction == "bottom": + if expanded_cand_bbox[1] - tl.y1 > gaps_hv[1]: + continue + expanded_cand_bbox[1] = tl.y0 + elif direction == "top": + if tl.y0 - expanded_cand_bbox[3] > gaps_hv[1]: + continue + expanded_cand_bbox[3] = tl.y1 + + # If they are, see what an expanded bbox in that direction + # would contain + new_tls = text_in_bbox(expanded_cand_bbox, tls_search_space) + tls_in_new_box = new_tls + tls_in_bbox + + # And if we're expanding up or down, check that the addition + # of the new row won't reduce the number of columns. + # This happens when text covers multiple rows - that's only + # allowed in the header, treated separately. + cols_cand = find_columns_coordinates(tls_in_new_box) + if direction in ["bottom", "top"]: + if len(cols_cand) < len(last_cols_cand): + continue + + # We have an expansion candidate: register it, update the + # search space and repeat + # We use bbox_from_textlines instead of cand_bbox in case some + # overlapping textlines require a large bbox for strict fit. + bbox = cand_bbox = list(bbox_from_textlines(tls_in_new_box)) + last_cols_cand = cols_cand + tls_in_bbox.extend(new_tls) + for i in range(len(tls_search_space) - 1, -1, -1): + tl = tls_search_space[i] + if tl in new_tls: + del tls_search_space[i] - # Move textline to our bbox and expand the bbox accordingly - # if the textline is close. - if h_distance < max_h_gap and v_distance < max_v_gap: - tls_in_bbox.append(tl) - bbox = expand_bbox_with_textline(bbox, tl) - del tls_search_space[i] if len(tls_in_bbox) > MINIMUM_TEXTLINES_IN_TABLE: return bbox return None diff --git a/camelot/plotting.py b/camelot/plotting.py index a0caa34..a60316e 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -28,7 +28,8 @@ def draw_labeled_bbox( ax, bbox, text, color="black", linewidth=3, linestyle="solid", - label_pos="top,left" + label_pos="top,left", + fontsize=12, ): """Utility drawing function to draw a box with an associated text label """ @@ -66,10 +67,10 @@ def draw_labeled_bbox( ax.text( x, y, text, - fontsize=12, color="black", + fontsize=fontsize, color="black", verticalalignment=vlabel_out_of_box, horizontalalignment=hlabel, - bbox=dict(facecolor=color, alpha=0.3) + bbox=dict(facecolor=color, alpha=0.1) ) @@ -449,12 +450,13 @@ class PlotMethods(): draw_labeled_bbox( ax, bbox, - "box #{box_id} / iter #{iteration}".format( + "t{box_id}/i{iteration}".format( box_id=box_id, iteration=iteration ), color="red", linewidth=5 if final else 2, + fontsize=12 if final else 8, label_pos="bottom,left" ) diff --git a/camelot/utils.py b/camelot/utils.py index cf85eb1..4a4b786 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -432,7 +432,7 @@ def bbox_from_str(bbox_str): def text_in_bbox(bbox, text): - """Returns all text objects present inside a bounding box. + """Returns all text objects which lie at least 50% inside a bounding box. Parameters ---------- @@ -529,7 +529,7 @@ def bbox_from_textlines(textlines): return bbox -def find_columns_coordinates(tls): +def find_columns_coordinates(tls, min_gap=1.0): """Given a list of text objects, guess columns boundaries and returns a list of x-coordinates for split points between columns. @@ -537,6 +537,10 @@ def find_columns_coordinates(tls): ---------- tls : list of PDFMiner text object. + min_gap : minimum distance between columns. Any elements closer than this + threshold are merged together. This is to prevent spaces between words + to be misinterpreted as column boundaries. + Returns ------- cols_anchors : list @@ -549,7 +553,7 @@ def find_columns_coordinates(tls): cols_bounds = [] tls.sort(key=lambda tl: tl.x0) for tl in tls: - if (not cols_bounds) or cols_bounds[-1][1] < tl.x0: + if (not cols_bounds) or cols_bounds[-1][1] + min_gap < tl.x0: cols_bounds.append([tl.x0, tl.x1]) else: cols_bounds[-1][1] = max(cols_bounds[-1][1], tl.x1) @@ -619,44 +623,6 @@ def get_index_closest_point(point, sorted_list, fn=lambda x: x): return mid -def distance_tl_to_bbox(tl, bbox): - """Returns a tuple corresponding to the horizontal and vertical gaps - between a textline and a bbox. - - Parameters - ---------- - tl : PDFMiner text object. - bbox : tuple (x0, y0, x1, y1) - - Returns - ------- - distance : tuple - Tuple (horizontal distance, vertical distance) - - """ - v_distance, h_distance = None, None - if tl.x1 <= bbox[0]: - # tl to the left - h_distance = bbox[0] - tl.x1 - elif bbox[2] <= tl.x0: - # tl to the right - h_distance = tl.x0 - bbox[2] - else: - # textline overlaps vertically - h_distance = 0 - - if tl.y1 <= bbox[1]: - # tl below - v_distance = bbox[1] - tl.y1 - elif bbox[3] <= tl.y0: - # tl above - v_distance = tl.y0 - bbox[3] - else: - # tl overlaps horizontally - v_distance = 0 - return (h_distance, v_distance) - - def merge_close_lines(ar, line_tol=2): """Merges lines which are within a tolerance by calculating a moving mean, based on their x or y axis projections. diff --git a/notebook-hybrid-parser.ipynb b/notebook-hybrid-parser.ipynb index 69adc6e..2eb434b 100644 --- a/notebook-hybrid-parser.ipynb +++ b/notebook-hybrid-parser.ipynb @@ -64,7 +64,9 @@ "source": [ "kwargs = {}\n", "data = None\n", - "pdf_file = \"vertical_header.pdf\" # test_hybrid_vertical_header\n", + "# pdf_file = \"vertical_header.pdf\" # test_hybrid_vertical_header\n", + "# pdf_file, kwargs = \"background_lines_1.pdf\", {} # {\"process_background\": True} # test_lattice_process_background\n", + "\n", "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", @@ -72,7 +74,9 @@ "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", - "# pdf_file = \"vertical_header.pdf\"\n", + "\n", + "pdf_file = \"vertical_header.pdf\"\n", + "\n", "# pdf_file = \"twotables_2.pdf\"\n", "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n", @@ -89,13 +93,13 @@ { "output_type": "stream", "name": "stdout", - "text": "Found 1 tables (37x2) in 0.21s\n" + "text": "Found 1 tables (17x22) in 0.77s\n" }, { "output_type": "display_data", "data": { - "text/plain": " 0 1\n0 VinsauVerre \n1 LesBlancs 12.5CL\n2 A.O.PCôtesduRhône \n3 DomainedelaGuicharde«Autourdelachapelle»2016 8€\n4 A.O.PVacqueyras \n5 DomainedeMontvac«Melodine»2016 10€\n6 A.O.PChâteauneufduPape \n7 DomainedeBeaurenard2017 13€\n8 A.O.PCôteauxduLanguedoc \n9 VillaTempora«Untempspourelle»2014 9€\n10 A.O.PCôtesdeProvence \n11 ChâteauGrandBoise2017 9€\n12 LesRosés 125CL\n13 A.O.PCôtesduRhône \n14 DomainedelaFlorane«AfleurdePampre»2016 8€\n15 FamilleCoulon(DomaineBeaurenard)Biotifulfox2017 8€\n16 A.O.PVacqueyras \n17 DomainedeMontvac2017 9€\n18 A.O.PLanguedoc \n19 DomainedeJoncas«Nébla»2015 8€\n20 VillaTempora«L’arroseurarrosé»2015 9€\n21 A.O.PCôtesdeProvence \n22 ChâteauGrandBoise«SainteVictoire»2017 9€\n23 ChâteauLéoube2016 10€\n24 LesRouges 12CL\n25 A.O.PCôtesduRhône \n26 DomainedeDionysos«LaCigalette» 8€\n27 ChâteauSaintEstèved’Uchaux«GrandeRéserve»2014 9€\n28 DomainedelaGuicharde«CuvéeMassillan»2016 9€\n29 DomainedelaFlorane«TerrePourpre»2014 10€\n30 L’OratoireStMartin«RéservedesSeigneurs»2015 11€\n31 A.O.PSaintJoseph \n32 DomaineMonierPerréol«Châtelet»2015 13€\n33 A.O.PChâteauneufduPape \n34 DomainedeBeaurenard2011 15€\n35 A.O.PCornas \n36 DomaineLionnet«TerreBrûlée»2012 15€", - "text/html": "
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    0...Senator 36thRep106thReg. ofRoadDistriDist
    1...Dist.Dist.DeedsCommissionDistrict #1ct #2#3\\nDist #4
    2GovernorU.S. Senator...
    3Number of Registered votersPoll Book TotalsBrian CalleyPatrick ColbeckJim HinesBill SchuetteJohn JamesSandy Pensler...Jim StamasSue AllorMelissa A. CordesAl ScullyDaniel G. GauthierCraig M. ClemensCraig JohnstonCarolyn Brummund\\nAdam Brege\\nDavid Bielusiak
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    9Harrisville114243045902910115594...226232244226232
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    13Millen35313971613384919...66676662
    14Mitchell3279612177294117...55576056
    15City Harrisville389171161518354931...8082817773
    16Totals92373396371373317110212218350...193419671963018890363219381321\\n268\\n160
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" }, "metadata": {}, "execution_count": 3 @@ -151,6 +155,49 @@ "timer_after_plot = time.perf_counter()\n", "fig\n" ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "tables = camelot.read_pdf(filename, flavor='stream')\n", + "fig = camelot.plot(tables[0], kind='text')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "execution_count": 5 + } + ], + "source": [ + "ax = fig.add_subplot(111, aspect=\"equal\")\n", + "\n", + "def add_rectangle(ax, bbox, color):\n", + " ax.add_patch(\n", + " patches.Rectangle(\n", + " (bbox[0], bbox[1]), bbox[2] - bbox[0], bbox[3] - bbox[1],\n", + " fill=False, color=color\n", + " )\n", + " )\n", + "\n", + "add_rectangle(ax, (71.039971584, 766.039693584, 78.46358609455301, 792.439683024), \"blue\") # most aligned\n", + "add_rectangle(ax, [71.039971584, 766.039693584, 528.2376647048496, 792.439683024], \"green\") # current bbox\n", + "add_rectangle(ax, (71.039971584, 550.759779696, 78.46358609455301, 595.879761648), \"orange\") # t considered\n", + "fig\n" + ] } ], "metadata": { diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb index fb56192..54a0279 100644 --- a/parser-comparison-notebook.ipynb +++ b/parser-comparison-notebook.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -18,7 +18,7 @@ "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'" }, "metadata": {}, - "execution_count": 14 + "execution_count": 1 } ], "source": [ @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -66,59 +66,38 @@ "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", - "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", - "pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", + "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", "# pdf_file = \"vertical_header.pdf\"\n", "# pdf_file = \"twotables_2.pdf\"\n", "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n", "# pdf_file, kwargs, data = \"edge_tol.pdf\", {}, data_stream_edge_tol\n", + "# pdf_file, kwargs = \"tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf\", {\"pages\": \"2\"} # test_lattice\n", + "# pdf_file, kwargs = \"background_lines_1.pdf\", {} # {\"process_background\": True} # test_lattice_process_background\n", + "\n", + "\n", "\n", "filename = os.path.join(testdir, pdf_file)" ] }, { "cell_type": "code", - "execution_count": 20, + 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\n" - }, - "metadata": {}, - "execution_count": 20 + "output_type": "error", + "ename": "KeyError", + "evalue": "'flavor'", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx_table\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Showing table #{idx} found by {flavor}:\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0midx_table\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfavor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflavor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 14\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcamelot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'grid'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'flavor'" + ] } ], "source": [ @@ -134,10 +113,9 @@ " tables_list.append(tables)\n", " timer_after_parse = time.perf_counter()\n", " ax = axes[idx]\n", - " if len(tables):\n", - " print(f\"Showing first table found by {flavor}:\")\n", - " display(tables[0].df)\n", - " for table in tables:\n", + " for idx_table, table in enumerate(tables):\n", + " print(\"Showing table #{idx} found by {flavor}:\".format(idx=idx_table, flavor=flavor))\n", + " display(table.df)\n", " fig = camelot.plot(table, kind='grid', ax=ax)\n", " ax.set_title(\"{flavor}\".format(flavor=flavor))\n", " tables_dims = \", \".join(\n", @@ -161,6 +139,13 @@ " timer_after_plot = time.perf_counter()\n", "fig" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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}, "metadata": {}, "execution_count": 3 @@ -116,7 +125,7 @@ ], "source": [ "\n", - "PLOT_TYPES = [\"text\", \"grid\", \"hybrid_table_search\"]\n", + "PLOT_TYPES = [\"text\", \"textedge\", \"hybrid_table_search\"]\n", "PLOT_HEIGHT = 12\n", "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * 2.5, PLOT_HEIGHT]\n", "fig, axes = plt.subplots(1, len(PLOT_TYPES))\n", @@ -175,8 +184,8 @@ "output_type": "execute_result", "data": { "text/plain": "
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\n" 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\n" }, "metadata": {}, "execution_count": 5 @@ -196,8 +205,36 @@ "add_rectangle(ax, (71.039971584, 766.039693584, 78.46358609455301, 792.439683024), \"blue\") # most aligned\n", "add_rectangle(ax, [71.039971584, 766.039693584, 528.2376647048496, 792.439683024], \"green\") # current bbox\n", "add_rectangle(ax, (71.039971584, 550.759779696, 78.46358609455301, 595.879761648), \"orange\") # t considered\n", + "\n", + "col_bounds = [[15.110600000000002, 85.17270800000026], [91.35392000000013, 111.20462000000025], [117.41954000000024, 135.20402000000024], [145.73642000000024, 159.08282000000023], [171.77798000000024, 185.12438000000023], [197.81954000000025, 211.16594000000023], [221.57774000000023, 239.36222000000024], [247.61930000000024, 265.4037800000002], [275.87192000000005, 289.2825800000003], [306.4158200000003, 310.88606000000027], [325.73594000000026, 343.52042000000023], [358.4989400000002, 362.96918000000016], [377.81906000000015, 395.6035400000001], [429.90218000000016, 447.68666000000013], [481.98530000000017, 499.76978000000014], [514.7483000000002, 519.2185400000002], [534.0684200000002, 551.8529000000002], [566.8314200000002, 571.3016600000002], [588.37064, 601.7813000000002], [614.4282800000001, 627.8228600000002], [640.5180200000002, 653.8644800000004], [666.5033000000001, 679.9059800000002], [692.6011400000002, 705.9556400000006], [718.6427000000002, 731.9891000000002]]\n", + "for bound in col_bounds:\n", + " ax.plot(\n", + " [bound[0], bound[0]],\n", + " [10, 100],\n", + " color=\"red\",\n", + " )\n", + "for bound in col_bounds:\n", + " ax.plot(\n", + " [bound[1], bound[1]],\n", + " [10, 100],\n", + " color=\"yellow\",\n", + " )\n", + "col_splits = [88.2633140000002, 114.31208000000024, 140.47022000000024, 165.43040000000025, 191.47196000000025, 216.37184000000025, 243.49076000000025, 270.6378500000001, 297.8492000000003, 318.31100000000026, 351.00968000000023, 370.39412000000016, 412.75286000000017, 464.8359800000002, 507.25904000000014, 526.6434800000002, 559.3421600000001, 579.8361500000001, 608.1047900000001, 634.1704400000002, 660.1838900000002, 686.2535600000002]\n", + "for col_split in col_splits:\n", + " ax.plot(\n", + " [col_split, col_split],\n", + " [10, 120],\n", + " color=\"brown\",\n", + " )\n", "fig\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb index 54a0279..7f3bc4d 100644 --- a/parser-comparison-notebook.ipynb +++ b/parser-comparison-notebook.ipynb @@ -66,11 +66,12 @@ "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", - "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "# pdf_file = \"clockwise_table_2.pdf\" # test_hybrid_table_rotated / test_stream_table_rotated\n", "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", - "# pdf_file = \"vertical_header.pdf\"\n", + "pdf_file = \"vertical_header.pdf\"\n", "# pdf_file = \"twotables_2.pdf\"\n", "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n", @@ -78,26 +79,62 @@ "# pdf_file, kwargs = \"tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf\", {\"pages\": \"2\"} # test_lattice\n", "# pdf_file, kwargs = \"background_lines_1.pdf\", {} # {\"process_background\": True} # test_lattice_process_background\n", "\n", - "\n", - "\n", "filename = os.path.join(testdir, pdf_file)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { - "output_type": "error", - "ename": "KeyError", - "evalue": "'flavor'", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx_table\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Showing table #{idx} found by {flavor}:\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0midx_table\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfavor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflavor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 14\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcamelot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'grid'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'flavor'" - ] + "output_type": "stream", + "name": "stdout", + "text": "Showing table #0 found by stream:\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": " 0 1 2 3 4 \\\n0 Alcona 963 439 Brian Calley\\n55 Patrick Colbeck\\n26 \n1 Caledonia 923 393 40 23 \n2 Curtis 1026 349 30 30 \n3 Greenbush 1212 423 56 26 \n4 Gustin 611 180 22 35 \n5 Harrisville 1142 430 45 90 \n6 Hawes 884 293 38 36 \n7 Haynes 626 275 31 20 \n8 Mikado 781 208 19 39 \n9 Millen 353 139 7 16 \n10 Mitchell 327 96 12 17 \n11 City Harrisville 389 171 16 15 \n12 Totals 9237 3396 371 373 \n\n 5 6 7 8 9 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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+ }, + "metadata": {}, + "execution_count": 3 } ], "source": [ @@ -139,13 +176,6 @@ " timer_after_plot = time.perf_counter()\n", "fig" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/tests/data.py b/tests/data.py index ccb0d7e..743ec71 100755 --- a/tests/data.py +++ b/tests/data.py @@ -1629,6 +1629,453 @@ data_hybrid_two_tables_b_2 = [ # Trimming the table for the test of hybrid, which doesn't include it. data_hybrid_two_tables_2 = data_stream_two_tables_2[3:-1] +data_hybrid_vertical_headers = [ + [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "Congress-", + "Senator 36th", + "Rep106th", + "", + "Reg. of", + "Road", + "", + "", + "", + "Distri", + "Dist", + "", + "", + ], + [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "1st Dist", + "Dist.", + "Dist.", + "", + "Deeds", + "", + "Commission", + "", + "District #1", + "ct #2", + "#3", + "", + "Dist #4", + ], + [ + "", + "", + "", + "", + "", + "Governor", + "", + "", + "U.S. Senator", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "", + "Number of Registered voters", + "Poll Book Totals", + "Brian Calley", + "Patrick Colbeck", + "Jim Hines", + "Bill Schuette", + "John James", + "Sandy Pensler", + "", + "Jack Bergman", + "", + "Jim Stamas", + "Sue Allor", + "Melissa A. Cordes", + "", + "Al Scully", + "", + "Daniel G. Gauthier", + "Craig M. Clemens", + "Craig Johnston", + "Carolyn Brummund", + "Adam Brege", + "David Bielusiak", + ], + [ + "Alcona", + "963", + "439", + "55", + "26", + "47", + "164", + "173", + "111", + "", + "268", + "", + "272", + "275", + "269", + "", + "271", + "", + "224", + "76", + "", + "", + "", + "", + ], + [ + "Caledonia", + "923", + "393", + "40", + "23", + "45", + "158", + "150", + "103", + "", + "244", + "", + "247", + "254", + "255", + "", + "244", + "", + "139", + "143", + "", + "", + "", + "", + ], + [ + "Curtis", + "1026", + "349", + "30", + "30", + "25", + "102", + "95", + "84", + "", + "159", + "", + "164", + "162", + "161", + "", + "157", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "Greenbush", + "1212", + "423", + "56", + "26", + "40", + "126", + "104", + "131", + "", + "208", + "", + "213", + "214", + "215", + "", + "208", + "", + "", + "", + "", + "208", + "", + "", + ], + [ + "Gustin", + "611", + "180", + "22", + "35", + "17", + "55", + "73", + "45", + "", + "108", + "", + "104", + "111", + "111", + "", + "109", + "", + "", + "", + "", + "", + "81", + "42", + ], + [ + "Harrisville", + "1142", + "430", + "45", + "90", + "29", + "101", + "155", + "94", + "", + "226", + "", + "226", + "232", + "244", + "", + "226", + "", + "", + "", + "232", + "", + "", + "", + ], + [ + "Hawes", + "884", + "293", + "38", + "36", + "27", + "109", + "121", + "84", + "", + "192", + "", + "195", + "195", + "193", + "", + "184", + "", + "", + "", + "", + "", + "118", + "87", + ], + [ + "Haynes", + "626", + "275", + "31", + "20", + "32", + "104", + "121", + "53", + "", + "163", + "", + "163", + "173", + "161", + "", + "152", + "", + "", + "", + "76", + "", + "69", + "31", + ], + [ + "Mikado", + "781", + "208", + "19", + "39", + "17", + "81", + "90", + "63", + "", + "149", + "", + "149", + "145", + "147", + "", + "143", + "", + "", + "", + "", + "113", + "", + "", + ], + [ + "Millen", + "353", + "139", + "7", + "16", + "13", + "38", + "49", + "19", + "", + "62", + "", + "66", + 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zdVi&WP&Qd|D~BHe{~DkHCnCFmmKgG&&JWuB8M_Tp;7R`mb8lNNgj9hPQoiCi5XKqS zf{9uj?%UFO=LGAKF{&OiAW)z#{Ft)}$rr>F6afHN`~Tnekpf(F3`{d7XuyBUjDbB& zqPR|sj#8BzA*kPas`mITp<*XOd<=$P*q=SNO;PobZcI!&jswfdw~X3HiAh0_;^BL| zCImaT1sML*hljqIu|xH%6oWvxAQWJIJ&>6o;36j{mkR6T9K|hSGUIwRy>6h=%5BUnc%4S%#$qwxdO-=8f>>@)3g*tZeK3WB$zU&iUDIZt4 zwv;Hs^;8Y680SlWzK6hohBWqCXHoI3r?Vlw&r_EJg+7y@o#ASwZgh60Jtx+RR!MNh zLUHN;o}?#jUc4(apyDB=%6FF*^m9jJS@PyJ*~1Bi(!W0aW_gnPq*S*PSxM%0(L(H?5a_1x+K59 zZ(T>TK%v*3W<8Be|Nno8?KQ@rMq0~q#O`Ul*MqJQwFxtg(9c!H7l3hYh9Pipanqsu zTXp+e@f?2$yv*I|OrG3c5Fw8Fky{8qIb!!U)O|J^F2nnlzgQH4JFOr-0~#tYCJ~L3 zUaTh%0LqXBCkoVGzLzdt(r|GLhLsQ|aK3`sP>iCY Date: Wed, 29 Apr 2020 09:45:55 -0700 Subject: [PATCH 50/60] Fix off by one error in column identification --- camelot/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/camelot/utils.py b/camelot/utils.py index 4a4b786..bce457a 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -564,7 +564,7 @@ def find_columns_coordinates(tls, min_gap=1.0): # Splits: | | | | cols_anchors = list(map( lambda idx: (cols_bounds[idx-1][1] + cols_bounds[idx][0]) / 2.0, - range(1, len(cols_bounds)-1) + range(1, len(cols_bounds)) )) cols_anchors.insert(0, cols_bounds[0][0]) cols_anchors.append(cols_bounds[-1][1]) From c0903b8ca926b700526708b0fdc4f0df490a8acb Mon Sep 17 00:00:00 2001 From: Frh Date: Wed, 29 Apr 2020 11:46:40 -0700 Subject: [PATCH 51/60] Improve column detection for hybrid flavor No longer rely on the mode but on the parsing analysis during network detection. Added unit test for complex table with vertical header and mixed horizontal / vertical text. --- camelot/parsers/hybrid.py | 174 +++---- camelot/plotting.py | 8 +- camelot/utils.py | 30 +- notebook-hybrid-parser.ipynb | 59 ++- parser-comparison-notebook.ipynb | 72 ++- tests/data.py | 447 ++++++++++++++++++ .../test_hybrid_contour_plot.png | Bin 105048 -> 105048 bytes .../baseline_plots/test_hybrid_grid_plot.png | Bin 49240 -> 49043 bytes ...est_hybrid_table_regions_textedge_plot.png | Bin 91681 -> 91726 bytes .../test_hybrid_textedge_plot.png | Bin 103779 -> 103784 bytes tests/files/vertical_header.pdf | Bin 0 -> 83067 bytes tests/test_common.py | 11 + 12 files changed, 666 insertions(+), 135 deletions(-) create mode 100644 tests/files/vertical_header.pdf diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index a3409de..94ba99b 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -6,7 +6,6 @@ from __future__ import division import copy import math import numpy as np -import warnings from .base import TextBaseParser from ..core import ( @@ -18,6 +17,7 @@ from ..core import ( from ..utils import ( bbox_from_str, text_in_bbox, + textlines_overlapping_bbox, bbox_from_textlines, find_columns_coordinates, text_in_bbox_per_axis, @@ -321,11 +321,17 @@ class TextNetworks(TextAlignments): horizontal axis. """ - # Find the textline with the highest alignment score + # Find the textline with the highest alignment score, with a tie break + # to prefer textlines further down in the table. Starting the search + # from the table's bottom allows the algo to collect data on more cells + # before going to the header, typically harder to parse. return max( self._textline_to_alignments.keys(), key=lambda textline: - self._textline_to_alignments[textline].alignment_score(), + ( + self._textline_to_alignments[textline].alignment_score(), + -textline.y0 + ), default=None ) @@ -566,12 +572,13 @@ class Hybrid(TextBaseParser): ) def _generate_table_bbox(self): + user_provided_bboxes = None if self.table_areas is not None: - table_bbox = {} + # User gave us table areas already. We will use their coordinates + # to find column anchors. + user_provided_bboxes = [] for area_str in self.table_areas: - table_bbox[bbox_from_str(area_str)] = None - self.table_bbox = table_bbox - return + user_provided_bboxes.append(bbox_from_str(area_str)) # Take all the textlines that are not just spaces all_textlines = [ @@ -593,59 +600,73 @@ class Hybrid(TextBaseParser): parse_details_bbox_searches = None while True: - text_network = TextNetworks() - text_network.generate(textlines) - text_network._remove_unconnected_edges() - gaps_hv = text_network._compute_plausible_gaps() - if gaps_hv is None: - return None - # edge_tol instructions override the calculated vertical gap - edge_tol_hv = ( - gaps_hv[0], - gaps_hv[1] if self.edge_tol is None else self.edge_tol - ) - bbox = text_network._build_bbox_candidate( - edge_tol_hv, - parse_details=parse_details_bbox_searches - ) - if bbox is None: - break + # Find a bbox: either pulling from the user's or from the network + # algorithm. - if parse_details_network_searches is not None: - # Preserve the current edge calculation for display debugging - parse_details_network_searches.append( - copy.deepcopy(text_network) + # First look for the body of the table + bbox_body = None + if user_provided_bboxes is not None: + if len(user_provided_bboxes) > 0: + bbox_body = user_provided_bboxes.pop() + else: + text_network = TextNetworks() + text_network.generate(textlines) + text_network._remove_unconnected_edges() + gaps_hv = text_network._compute_plausible_gaps() + if gaps_hv is None: + return None + # edge_tol instructions override the calculated vertical gap + edge_tol_hv = ( + gaps_hv[0], + gaps_hv[1] if self.edge_tol is None else self.edge_tol + ) + bbox_body = text_network._build_bbox_candidate( + edge_tol_hv, + parse_details=parse_details_bbox_searches ) - # Get all the textlines that are at least 50% in the box - tls_in_bbox = text_in_bbox(bbox, textlines) + if parse_details_network_searches is not None: + # Preserve the current edge calculation for debugging + parse_details_network_searches.append( + copy.deepcopy(text_network) + ) - # and expand the text box to fully contain them - bbox = bbox_from_textlines(tls_in_bbox) + if bbox_body is None: + break - # FRH: do we need to repeat this? - # tls_in_bbox = text_in_bbox(bbox, textlines) + # Get all the textlines that overlap with the box, compute + # columns + tls_in_bbox = textlines_overlapping_bbox(bbox_body, textlines) cols_anchors = find_columns_coordinates(tls_in_bbox) - # Apply a heuristic to salvage headers which formatting might be - # off compared to the rest of the table. - expanded_bbox = search_header_from_body_bbox( - bbox, - textlines, - cols_anchors, - gaps_hv[1] - ) + # Unless the user gave us strict bbox_body, try to find a header + # above the body to build the full bbox. + if user_provided_bboxes is not None: + bbox_full = bbox_body + else: + # Expand the text box to fully contain the tls we found + bbox_body = bbox_from_textlines(tls_in_bbox) + + # Apply a heuristic to salvage headers which formatting might + # be off compared to the rest of the table. + bbox_full = search_header_from_body_bbox( + bbox_body, + textlines, + cols_anchors, + gaps_hv[1] + ) + + table_parse = { + "bbox_body": bbox_body, + "cols_anchors": cols_anchors, + "bbox_full": bbox_full + } + self.table_bbox[bbox_full] = table_parse if self.parse_details is not None: if "col_searches" not in self.parse_details: self.parse_details["col_searches"] = [] - self.parse_details["col_searches"].append({ - "core_bbox": bbox, - "cols_anchors": cols_anchors, - "expanded_bbox": expanded_bbox - }) - - self.table_bbox[expanded_bbox] = None + self.parse_details["col_searches"].append(table_parse) # Remember what textlines we processed, and repeat for tl in tls_in_bbox: @@ -682,7 +703,6 @@ class Hybrid(TextBaseParser): # the alignment identification work we've done earlier. rows_grouped = self._group_rows(all_tls, row_tol=self.row_tol) rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - elements = [len(r) for r in rows_grouped] if self.columns is not None and self.columns[table_idx] != "": # user has to input boundary columns too @@ -695,53 +715,11 @@ class Hybrid(TextBaseParser): cols.append(text_x_max) cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] else: - # calculate mode of the list of number of elements in - # each row to guess the number of columns - ncols = max(set(elements), key=elements.count) - if ncols == 1: - # if mode is 1, the page usually contains not tables - # but there can be cases where the list can be skewed, - # try to remove all 1s from list in this case and - # see if the list contains elements, if yes, then use - # the mode after removing 1s - elements = list(filter(lambda x: x != 1, elements)) - if elements: - ncols = max(set(elements), key=elements.count) - else: - warnings.warn( - "No tables found in table area {}" - .format(table_idx + 1) - ) - cols = [ - (t.x0, t.x1) - for r in rows_grouped - if len(r) == ncols - for t in r - ] - cols = self._merge_columns( - sorted(cols), - column_tol=self.column_tol - ) - inner_text = [] - for i in range(1, len(cols)): - left = cols[i - 1][1] - right = cols[i][0] - inner_text.extend( - [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > left and t.x1 < right - ] - ) - outer_text = [ - t - for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > cols[-1][1] or t.x1 < cols[0][0] - ] - inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, self.row_tol) - cols = self._join_columns(cols, text_x_min, text_x_max) + parse_details = self.table_bbox[bbox] + col_anchors = parse_details["cols_anchors"] + cols = list(map( + lambda idx: [col_anchors[idx], col_anchors[idx + 1]], + range(0, len(col_anchors) - 1) + )) return cols, rows, None, None diff --git a/camelot/plotting.py b/camelot/plotting.py index a60316e..e5fec12 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -472,7 +472,7 @@ class PlotMethods(): for box_id, col_search in enumerate(parse_details["col_searches"]): draw_labeled_bbox( - ax, col_search["expanded_bbox"], + ax, col_search["bbox_full"], "box body + header #{box_id}".format( box_id=box_id ), @@ -481,7 +481,7 @@ class PlotMethods(): label_pos="top,left" ) draw_labeled_bbox( - ax, col_search["core_bbox"], + ax, col_search["bbox_body"], "box body #{box_id}".format( box_id=box_id ), @@ -495,8 +495,8 @@ class PlotMethods(): ax.plot( [col_anchor, col_anchor], [ - col_search["core_bbox"][1] - 10, - col_search["core_bbox"][3] + 10, + col_search["bbox_body"][1] - 10, + col_search["bbox_body"][3] + 10, ], color="green" ) diff --git a/camelot/utils.py b/camelot/utils.py index bce457a..5dcba39 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -431,8 +431,36 @@ def bbox_from_str(bbox_str): ) +def textlines_overlapping_bbox(bbox, textlines): + """Returns all text objects which overlap or are within a bounding box. + + Parameters + ---------- + bbox : tuple + Tuple (x1, y1, x2, y2) representing a bounding box where + (x1, y1) -> lb and (x2, y2) -> rt in the PDF coordinate + space. + textlines : List of PDFMiner text objects. + + Returns + ------- + t_bbox : list + List of PDFMiner text objects. + + """ + (left, bottom, right, top) = bbox + t_bbox = [ + t + for t in textlines + if ((left < t.x0 < right) or (left < t.x1 < right)) + and ((bottom < t.y0 < top) or (bottom < t.y1 < top)) + ] + return t_bbox + + def text_in_bbox(bbox, text): - """Returns all text objects which lie at least 50% inside a bounding box. + """Returns all text objects which lie at least 50% inside a bounding box + across both dimensions. Parameters ---------- diff --git a/notebook-hybrid-parser.ipynb b/notebook-hybrid-parser.ipynb index 2eb434b..b58c651 100644 --- a/notebook-hybrid-parser.ipynb +++ b/notebook-hybrid-parser.ipynb @@ -72,13 +72,14 @@ "# pdf_file = \"clockwise_table_2.pdf\"\n", "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", + "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_areas\": [\"320,500,573,335\"]} # test_hybrid_table_areas\n", "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", - "\n", - "pdf_file = \"vertical_header.pdf\"\n", + "# pdf_file = \"clockwise_table_2.pdf\" # test_hybrid_table_rotated / test_stream_table_rotated\n", + "# pdf_file = \"vertical_header.pdf\"\n", "\n", "# pdf_file = \"twotables_2.pdf\"\n", - "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", + "pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n", "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n", "# pdf_file, kwargs, data = \"edge_tol.pdf\", {}, data_stream_edge_tol\n", "\n", @@ -93,13 +94,21 @@ { "output_type": "stream", "name": "stdout", - "text": "Found 1 tables (17x22) in 0.77s\n" + "text": "Found 2 tables (7x4, 3x3) in 0.18s\n" }, { "output_type": "display_data", "data": { - "text/plain": " 0 1 2 \\\n0 \n1 \n2 \n3 Number of Registered voters Poll Book Totals \n4 Alcona 963 439 \n5 Caledonia 923 393 \n6 Curtis 1026 349 \n7 Greenbush 1212 423 \n8 Gustin 611 180 \n9 Harrisville 1142 430 \n10 Hawes 884 293 \n11 Haynes 626 275 \n12 Mikado 781 208 \n13 Millen 353 139 \n14 Mitchell 327 96 \n15 City Harrisville 389 171 \n16 Totals 9237 3396 \n\n 3 4 5 6 7 \\\n0 \n1 \n2 Governor \n3 Brian Calley Patrick Colbeck Jim Hines Bill Schuette John James \n4 55 26 47 164 173 \n5 40 23 45 158 150 \n6 30 30 25 102 95 \n7 56 26 40 126 104 \n8 22 35 17 55 73 \n9 45 90 29 101 155 \n10 38 36 27 109 121 \n11 31 20 32 104 121 \n12 19 39 17 81 90 \n13 7 16 13 38 49 \n14 12 17 7 29 41 \n15 16 15 18 35 49 \n16 371 373 317 1102 1221 \n\n 8 9 ... 12 13 14 \\\n0 ... Senator 36th Rep106th \n1 ... Dist. Dist. \n2 U.S. Senator ... \n3 Sandy Pensler ... Jim Stamas Sue Allor Melissa A. Cordes \n4 111 ... 272 275 269 \n5 103 ... 247 254 255 \n6 84 ... 164 162 161 \n7 131 ... 213 214 215 \n8 45 ... 104 111 111 \n9 94 ... 226 232 244 \n10 84 ... 195 195 193 \n11 53 ... 163 173 161 \n12 63 ... 149 145 147 \n13 19 ... 66 67 66 \n14 17 ... 55 57 60 \n15 31 ... 80 82 81 \n16 835 0 ... 1934 1967 1963 \n\n 15 16 17 18 19 \\\n0 Reg. of Road \n1 Deeds Commission District #1 \n2 \n3 Al Scully Daniel G. Gauthier Craig M. Clemens \n4 271 224 76 \n5 244 139 143 \n6 157 \n7 208 \n8 109 \n9 226 \n10 184 \n11 152 \n12 143 \n13 62 \n14 56 \n15 77 \n16 0 1889 0 363 219 \n\n 20 21 \n0 Distri Dist \n1 ct #2 #3\\nDist #4 \n2 \n3 Craig Johnston Carolyn Brummund\\nAdam Brege\\nDavid Bielusiak \n4 \n5 \n6 \n7 208 \n8 81\\n42 \n9 232 \n10 118\\n87 \n11 76 69\\n31 \n12 113 \n13 \n14 \n15 73 \n16 381 321\\n268\\n160 \n\n[17 rows x 22 columns]", - "text/html": "

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    2Abdul El-SayedShri ThanedarGretchen WhitmerDebbie StabenowJoe WeirLora GreeneJohn E. Norton, III
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    0...Reg. ofRoadDistriDist
    1...DeedsCommissionDistrict #1ct #2#3Dist #4
    2GovernorU.S. Senator...
    3Number of Registered votersPoll Book TotalsBrian CalleyPatrick ColbeckJim HinesBill SchuetteJohn JamesSandy Pensler...Melissa A. CordesAl ScullyDaniel G. GauthierCraig M. ClemensCraig JohnstonCarolyn BrummundAdam BregeDavid Bielusiak
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    6Curtis10263493030251029584...161157
    7Greenbush1212423562640126104131...215208208
    8Gustin611180223517557345...1111098142
    9Harrisville114243045902910115594...244226232
    10Hawes88429338362710912184...19318411887
    11Haynes62627531203210412153...161152766931
    12Mikado781208193917819063...147143113
    13Millen35313971613384919...6662
    14Mitchell3279612177294117...6056
    15City Harrisville389171161518354931...817773
    16Totals92373396371373317110212218350...1963018890363219381321268160
    \n

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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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rrfXmm2+ur3/96+vee+9dR48eXbfddts6Y8aMZ427o6OjXnDBBXXUqFH1kEMOqWPGjKl33HFHPeOMM+p2221X995773rYYYfVuXPn1rvuuqueeuqpdc8996wLFiyoU6ZMqbvttls9+OCD64477ljPOuus2tHR8WL8r8xalGRi3QBq5svpS/1nQ6P+q//qPytS/9V/Xv7Uf/Vf/WdFq6v/rkyHlai1Zvvtt89FF12Uhx9+OHvvvXcmTZqUJDnggANyzjnnZNq0adljjz3yyCOPPGvdvn37pr29PZMnT84dd9yRvn37pvP3MFm8eHF+/vOf54ADDsgf/vCHPPnkk+nRo0eS5GMf+1iOOeaYXH/99TnuuOPy9NNP59Of/nSOPvroXHrppbn++uvzox/9KL169XrW9saOHZsJEyakra0t3bt3T3t7+/Jf8BWt2HbOnDk555xzcuqpp+ZDH/pQHn300Xzuc59Lv379cuGFF+Y3v/lNTjjhhJxzzjkZMWJE/uVf/iW11kyaNCkTJkzIf/zHf+Qtb3lLpk6dmgMOOCAXXHBBaq3p27dvfvzjH+eII45oPNZ33313pk+fnl122SVXXHFF9tlnn+U/gxXdcsstufzyy/Pzn/88e+21V6ZMmZIzzjgjTz755HPWWfb9rbfemh133DFf/epXU0rJxRdfnMGDB+cnP/lJ7rvvvrzuda/L6aefnj322GP5mfO99tor119/febPn5/jjz8+RxxxRAYOHPic8Tz00EN597vfnc9//vM54IADct111+WSSy7JJz7xibz5zW/Om9/85vzP//xPfvKTn+SWW25ZfqZ/ypQpWbRoUX784x/n3HPPzW233ZYPfehDjccKgBeX+q/+q/8Arzzqv/qv/vN8mDMdVuGJJ57IhAkTcvrpp6dnz57ZeuutkyQ33nhj3vve9+a4447LyJEj84Y3vOFZ6/Xu3Ts77rhj7rzzztx1113Zfffdly/7y1/+kvvuuy9f+MIX0tbWlltuuWX5su9///t597vfnU9/+tM57LDDMmLEiOy+++7Zf//987GPfSw777zzSm+VuuWWW/LGN74x++67b774xS+utAitqu3UqVMzZ86c7LvvvunWre5+W2QAACAASURBVFtGjRqV888/P7vsskva2tqWb6uUkra2Z/65eOCBB9KjR4/sueeeaWtry/DhwzN27NjccccdSZKtttoqBx10UL71rW9l6dKlqxxPrTWXXHJJ9thjj5x00km59tprM3fu3FW2/+tf/5ohQ4bk1a9+daZOnZoJEyYsv+VtVd7xjndk8uTJ2WefffKud70r7e3t6d+//0r3b9nrtra29OzZMxdffHFqrTnhhBOetf/LfPKTn8wXv/jF3HHHHZk6dWq23XbbzJ49O1tvvXWGDBmSnj175umnn84ZZ5yRz33uc8v733bbbTNkyJC8/e1vz/e+970cfvjhqxw/AOuW+q/+q/8Arzzqv/qv/rOmXJkOqzBz5sxcf/316d27d773ve8tL6abbbZZ9t577wwdOjSXXXZZ2tvbn7VeKSW77757rrnmmkybNu1ZRebXv/512tvb87vf/S7du3fPxRdfvPxM7DbbbJPdd9898+fPz5QpU1JKSbdu3XLyySfn0ksvzfvf//7nnJVOknHjxuU73/lO2tra0r9//9Xu04ptFy5cmLa2tixYsCBJ5xxgd999d0aPHp1Bgwatsp+ePXtm6dKlWbhwYZKkvb09s2fPXj5HW1tbWz760Y/m6KOPTrdu3bLpppuutJ/Zs2fnmmuuyZgxY3LPPffkwQcfzG233bbK7fbr1y8LFy7MwoUL09HRkXnz5uW8887LHnvsscp19thjj1x77bV59NFHc9NNN+VrX/tahg0blne+852rPVbz5s3Lj370o5x66qnp06fPc5YvK4znnntuzj777Jx22mnZd999U0rJ4sWLl18dsGKhTpKbbropjz32WM4///xceuml+d73vpdDDz00vXv3Xu2YAHjxqf/qv/oP8Mqj/qv/6j9rypXpsArbbbddzjvvvPz0pz/NYYcdtvwfwx122CEnnXRSTjnllMydOzeTJ09+zrqvfe1rc8MNN6RPnz4ZMmRIkmT+/Pm5/PLLM27cuMyYMSNjx47N73//+0yZMiVJ5+1jJ598co455phMmjQp8+fPTyklw4YNS58+fbLJJpus9AEeHR0dWbJkSRYvXpxZs2Ytf6jGI488kokTJ+b222/PjBkzVtp26NCh2WabbXLmmWfm/vvvz0UXXZTDDz88Dz300GqPzWtf+9oMGjQo3/3ud/PAAw/koosuyh133JFDDz10eZstttgip5xySu6+++4kyaOPPpof/OAHmTNnTpLOs9K33HJLZsyYkS222CIdHR3Zeuutc9lll2Xo0KGZM2dObrvtttxzzz2ZPHlyBg8enH322Sft7e355je/mUWLFmWHHXZY/uCW4cOH56GHHso999yT2267LfPmzcuAAQNy2mmn5dOf/nSGDh26/KEoixYtavz533fffXnqqaey1157pZSy0vFfdtll+fznP5+TTz452223XZ5++umMGjUqN998c/74xz9m6dKl2XzzzZ/T9+zZs5N0fjjo0aNHZs6cudqz6wCsO+r/qqn/6j/Ay5X6v2rqv/rPs7kyHVZis802y9Zbb/2sM4q11owaNSqDBw9O0nk713bbbZd58+ZlxIgR6du3bzbeeONsv/32GTNmTHbZZZe86U1vSv/+/TN69OhMnjw5G220Uf793/892267bWbMmJFjjz02DzzwQLbbbrsMGDAgSTJ48OCMHDky8+fPz6BBg9KzZ89sv/326du373PGOXz48Nx888055ZRTknT+4/zDH/4w2267bX7961/nmmuuSZJ8+ctfXmnb888/P2eddVY+/vGP561vfWva2tryyU9+MrvsssvyNjvssMPyed2WHZfNNtssZ599dk499dRceeWVaWtry2c+85nsv//+mTZtWsaMGZO2trYce+yxue666zJkyJBMnTo13/3ud3PwwQcvP4N+11135eijj84ZZ5yRtra2XHTRRbnwwguzxx575Pjjj89HPvKR5fPXHXfccRk1alTOPPPMfO1rX8vll1+eESNG5B3veEc23njjnHjiibntttvyzne+Mx0dHTnyyCPzxje+MaNHj86HP/zhHHbYYUmSfffdN29961uTdJ5h33HHHbPRRhs959g+8cQT2W233Zb/vJeN/6CDDkr//v1Ta+cT0ocNG5ZzzjknpZR88pOfzOc///l87GMfy+WXX54PfOAD2XLLLZMkAwYMyOjRo1NKyUEHHZTLL788Rx11VJLkS1/6krPSABsA9V/9V/8BXnnUf/Vf/ef5KBvC2ZDddtutTpw4cX0PA5ZbsmRJ2tvb06tXr2cV08WLF6eUsry4LFy4MN27d3/mib7du2fx4sXp1atXFi9enG7duiXpvA2qR48eWbx4cXr37p1SSmqtWbRoUbp165alS5emR48eyx8gsnjx4vTs2TPdunVLR0dHFi1atPz1MrXWLFmy5FlzkpVSlm972cMuks6i0dHRsdK2pZQsWLAg8+bNS48ePTJgwIDl84MtG8uyMXc9Lknn2fb58+enV69ey+chW7HNkiVLUmvN008/ndNPPz2f+cxnsskmmzzneJZSnrW99vb2zJo1Kx0dHRkwYEB69uy5/LjNnz8/c+fOTf/+/dOzZ8+0tbUt3/asWbNSSsmgQYOWH6+FCxdm7ty5z3q/lLL82Pbq1es5c6ItXbo0S5cuXX6MZs6cmdNPPz2f/vSns+mmmy4ff9fb/Jb9DGfPnp0lS5Zk8ODBy8fQtb9lx2XWrFnp0aNHBg4cuNKrDtiwlFJur7Xutr7H8XKi/rOhUf/Vf/WfFan/a5/6z4ZG/Vf/1X9WtLr6L0wH1omnnnoqM2bMyJgxY16ShWPmzJmZPn36S3b8/OP8Mb32qf/w8qf+81Kn/q996j+8/Kn/vNStrv6b5gVYJwYPHrz8lqmXokGDBq32oSwAwHOp/wDwyqP+83LmAaQAAAAAANBAmA4AAAAAAA2E6QAAAAAA0ECYDgAAAAAADYTpAAAAAADQQJgOAAAAAAANhOkAAAAAANBAmA4AAAAAAA26r+8BAP+4Wus62U4p5TnbqrWmlLLKditb54W8/0LGCgAvZ+r/yscKAC9n6v/KxwrrijAdXgZqrTn77LNz//33J0nGjh2bt7zlLfnmN7+ZpUuXpq2tLe973/tyyy235N57701bW1ve9ra3pdaa+fPn55BDDsmPfvSjvOlNb8qvfvWrPPjgg+nevXsOP/zwbLfddrnooovyoQ99KN27d8+DDz6Yyy+/PB/+8Idz0UUX5eqrr84OO+yQj370ozn//POz3377Zeedd87PfvazzJ07Nx/84AdzxRVX5PHHH8/73//+TJgwIePGjctuu+2WBQsW5N/+7d8yZ86c9O7dOyeffHJe9apXZeLEifnFL36Rz372s5k7d26++c1vptaatra2HH/88bnuuuvy2GOPJUmGDRuWYcOGZfTo0dl5553zgx/8IB/60IcyYMCA9fkjAYAXnfqv/gPwyqP+q/+sX6Z5gZeBWmuuvvrq7LrrrjnooINy5pln5u9//3tuuummHH744Xn729+ezTffPL/5zW+y4447Zqeddsppp52WO++8MxMnTkytNddcc02mTJmSX/7ylxk5cmTGjRuXr3zlK3niiSdyxRVXpKOjI0kyderUXHbZZfntb3+bCRMm5OSTT86TTz6ZCy+8ML/85S/z8MMPZ86cOTnzzDNzzjnnZMaMGbn11lvzxS9+MX/84x9z1VVX5W9/+1uSZPHixbn66qszfvz4LFiwID/84Q9Ta80PfvCDnH/++bn99tszY8aM3HbbbTnqqKPSu3fvTJgwIePHj09bW1s6Ojrylre8JcOHD883vvGNXHjhhXn44YfTr1+/9fnjAIB1Qv1X/wF45VH/1X/WL1emw8tEe3t7LrnkkvTu3Ts77bRT+vfvnyeeeCJnnXVWevfunX/9139NrTV///vf09HRkUGDBqWt7bnn02qt+cUvfpFu3brlNa95TXr06LHS7f3hD3/Ivvvumze+8Y3Ze++9s3Dhwvz85z9Pktx+++3Zcsst06dPn9xwww1Jkr322itnn312Fi5c+Kx+lixZkkmTJmXKlCl53etelyeffDL3339/PvKRj+TSSy/NBz/4wUyZMiXf//7389BDD+Wf//mfs8suu2TUqFFZsmRJxo4dmx133DHnnXdezjrrrFx44YXp1q3bWj66ALBhUv/VfwBeedR/9Z/1R5gOLxPdunXLoYcemp49e+aSSy5JrTUjR47Mt7/97fTq1SuDBw9OknR0dGSnnXbKRz/60Vx55ZVZvHhxOjo6smTJkiSdc42ddNJJGT16dD71qU/l2GOPXb7esrPTSTJo0KA89NBD6ejoyD333JPp06cvb3fxxRfn7rvvTo8ePbJo0aKMGDEi48aNS3t7e37961/nhBNOeNbYa6056qijMn78+PzqV7/KpEmT0t7enieffDJHHXVUNttssxx33HG54IILMn369OfMh9a9e/ccdthhmTp1anbccccX7RgDwIZG/Vf/AXjlUf/Vf9YfYTq8TPTr1y+vf/3rM3To0Fx00UVZunRpZs6cmS984Qtpa2vLiSeemH79+uWII47I6173uiTJa1/72px77rmZPHlyZsyYkZEjR2ajjTbKueeem759+2aHHXZIv3798vjjj+d973tfevfunUMOOSR9+/bNEUcckZNOOikf+MAH8sADD+Rzn/tc+vbtm/nz5+eBBx7ImWeemVJKvva1r2XAgAEZPHhw3vWud+UXv/jF8rPdpZQMHTo0J5xwQoYMGZL29vb89re/zVe/+tWMGzcup512Wu69996MGDEiBx54YCZPnpwnnngitdb06tVr+Zn1Ukr69u2bgQMHrvRsOwC8XKn/6j8Arzzqv/rP+lPW1VOAV2e33XarEydOXN/DgJesWmumTZuWQYMGpVu3bpk6dWo22WSTTJs2bfnZ5CFDhmThwoXp379/+vTps3y9Rx55JFOnTs1WW22VoUOHZurUqVm4cGHa2tqy2WabpXv37nn00UeXP7V7yJAhmTt3boYPH54ZM2bkgQceyGabbZZRo0Zl2rRp6dOnT+bPn5/NN988Secca21tbendu3cGDhyYxx9/PBtvvHH69euX9vb2TJs2LZtttlm6deuWjo6OTJ06NZtuuml69OiRGTNmJOm8FWzYsGGZM2dOFi1alE033TRz5sxJrTUDBw5MksyfPz9z5szJsGHDPMmbF0Up5fZa627rexwvJ+o//GPUf/WfF5/6v/ap//CPUf/Vf158q6v/wvQXqNaahx9+OAsWLFjfQwFgDW2++ebLP4A9X/6YXvvUfwDWBfV/w6L+A7AuvFj13zQvL9CSJUvy7ne/O5MmTUrPnj3XyTbnzp2bHj16pHfv3utke+va008/nSTZaKON1vNINiwLFy7M0qVLX7ZPqF6yZEkWLFiQjTfeeJ2cUV66dGnmz5+f/v37r5Pttbe3Z968edl4443dgrYe1Vozb968nHXWWXnXu961vofDS9iSJUvy+zPekzFtU5N5Tz6vdSfnPZm+dKs8POf5/VswZsuaed3mZdLMvz+v9e4Z9/pM7zcgc+fMeV7rfW3updlp/v0p06Y+r/Ve7vvX5/5+WTizZx6a+/z2b6tXH5NuA0ZmSu1obtzFZW/tlgd7DcnfHpn3vNZ7qexfrTWX/69uebDXJs9rH/v2vD7dFz+c8sTjz3t7xz62V3otWpBpT05b4/V2fPPM9BmyMLMXLn5+20vN1jNHZtTSGZk7dc3H+kJ/Dkkya4tNM7dPz0zpeH4XS/V+1Zh09O6TWc9zH18K/8bUJJunZFj/jhz7Hx95XtuDrvz9v/b9P/beOz6qMu3/f58zfTJpkEYKSWhJ6KEoVUCaIi6CIq77ta37WFd3RV17w4Ll+dlWV13dta2CBV3QB6QoRYFAghQpUkJIoSQhdTLJlHPO/ftjMkNCCjOhqvN5vXiRmTnXfd33dZfPudt1heb/rSM0/z+1CM3/f5s43fP/0GL6ScDpdPLggw9y2WWXnXZdmqZx/fXXM27cOG644YbTru9s4LHHHkNVVZ566qmznZVzCu+88w5r167l3//+96/y+tK3337Lc889x8KFC/3Xz04n8vLymD17Nl999RWRkZGnXd+ePXu47rrr+OKLL0hISDjt+kJoHYqiMGvWLBRFOdtZCeFXAFVvwWyNJKtnclByrpI4ZCWO6O4pgQsJUOq24Zb1ZGdnB6XvSGwssi2SHt27ByUXu2s1sdYaUhKDG7M6VD5AsW/D9QsoX0VNDU6DgegewZXP2DkWOTKW+MTEoOS+tOQg6yIZmD0QicD5/5dSvqqqKjDvRmdQg6r7qrJt6N0NJAdZPrvdjrk4HL0kGBiEvsjY7VhjnKR3jg1KX0NDPdU/SCg4gipfR+sBYAduzBYTcUHWRYXOjGa2kh4TXBl/CWOMEALHT9vRO+xB6QohhNYQmv+fWoTm/60jNP8/tQjN/3+bON3z/9Bi+kkiJiaG1NTU065HVVXMZjPR0dGnXN/JuPo5VYO7EILw8HBUVaVr164nla6vPJIknVTZTiVOpjxRUVFYLBZSUlLQ6XRByZ6MLTpqv2DLGhcXh9FoJCUlhbCwsGa/ncr68+WrpKQEvV5PcnKyP8L56dRnt9vR6XQkJSWRnBzcwltH0LQMHWl3HZFv2s4C+f5swOPxYDKZznY2QviV4OnaqSRHJLPylmlByY3tgC5VVdlzy88YDHH0ePraoGRvOcHvbY55w94+Ydqt9euxJ85Sq3nYe+seBGZ6PXVdUOPF8eULmPMCKF9rSLw5eJmTGf8um3czHsXD9Albg+P/4e90iP995TtT/L/166+55Ohb2MJtXDxpQ7Pf2tf/fIfytXbtWvat/ZHwTuHMmHt9EPqCg0/f9u3bubd2Ezabje9vuTxg+aQTddw2IISg13F5CFbeh0Dlb+4o/w9/J+j8QcfGGI/Hw/9l39Loy/e+DukNIYSmCM3/Q/P/QBCa/7eN0Pz/1CI0/28dp3v+H1pM/41DCEFOTg7ffvstgwYNYvv27Rw4cIDzzjuPcePG8cUXX9C/f38WLlyI2WwmIyODHTt20KdPH2644YZzopM0xeHDh/nggw8IDw/niiuu4OOPP8bj8TBt2jQWLlzIrFmz2LRpEzExMaxcuZLs7GzMZjOLFy+ma9euDBkyhAULFpCcnMyECRNYvHgxvXr1Ij4+ntWrVzNixAhKS0sZNmwYn332GSaTiUmTJrFs2TKmTJlCQUEBvXv35pNPPuGmm25i4cKFXH311WfNTlu2bMHj8TB06FA++ugjNm/ezLBhw0hJSWH58uX06dMHg8FAWloay5cvx2g0MmLECOx2O2PGjEHTNF577TUuuOACFixYQFVVFRkZGaSlpVFfX8+YMWP4/vvv2bp1K4qi8Kc//YmePXuekryrqsrnn3/Onj17mD59OocPH2bt2rWMGTMGl8tFZmYm69evR1VVUlJSqKyspLCwkL179xIbG0tMTAwXXXQRmzZt4sorrzyhPkVRmDdvHoWFhcycOZN9+/aRl5fHhAkTqKioYPDgwaxcuRJFUcjKyqKwsJCSkhL27dtHly5d6Ny5M+PHj2fHjh1Mnz79lNggWAghWLduHStWrOD8889n0qRJCCFaXC/zkVxeXh79+/fHZDL5A8ysWLGCdevWMW7cOEaPHo2maciy3IJkNU1rtkCRmppKcnJys5ewH3/8EZvNRq9evZrJtZYfSZLOufEkhBB+zQjxf4j/Q/zvRYj/Q/wfQgi/JYT4P8T/If73IsT/If4/GYQW00NgxYoVREVFUVVVxZVXXskjjzzCRRddxIIFC1i6dCmTJk0iMTGRXr16sWvXLkwm0zkZMVkIwSeffELfvn3RNI23336b9PR0YmNj+ec//8kPP/yAXq/nwIEDOBwOZs+eTU5ODjU1NXTu3Jm8vDxMJhP19fUkJSWxfv16ZFmmurqazZs3k5iYSGlpKRs3bmTLli2MHTuW2tpa3nvvPVavXo2iKOh0Og4cOMDSpUsZP34869ev5/e///0pKV9H7F1UVITT6WTo0KFs3ryZ6OhorFYr77zzDrNnz2bdunUUFxdTVVXF/v37ycrKIj8/n+rqasaMGUNhYSGLFy9Gr9czY8YM3n77bXr06EF+fj6HDh3C7XZjMBjYtm0bU6ZMOaX+/EpKSvjhhx+4/fbbycnJYcOGDTzwwAPMnTvXT5YbNmxACMGSJUuIiYnhD3/4A7t37+ayyy5j69atPPbYY/zpT38KSF9+fj5btmzhj3/8I+vWrePHH3/knnvu4dlnnyUqKoru3buTk5ODpmmsWbMGi8XC//zP/7Bz506uuOIK1qxZw5NPPsmf/3z2/HG63W7effdd7r//fjZu3Mi7777LgQMHGDp0KE6nE51Oh6qq5ObmkpiYyIoVK5g0aRKDBg3i0KFDTJkyhfnz5/PQQw+xceNG3njjDQ4fPsyQIUNYvnw5er0ek8nE0KFDWb16NUajEbPZTNeuXXE4HLz++utkZGRQWlqKEILU1FQMBgPz588nKiqKmJgYtm3bRt++fampqcHpdJKUlMTRo0e57bbb0OtDlBRCCGcSIf4P8X+I/0P8H+L/EEL47SHE/yH+D/F/iP9D/H9yCMgbviRJByRJ+kmSpC2SJOU1ftdJkqTlkiTtbfw/uvF7SZKkVyVJ2idJ0jZJkgadzgKEcPIYM2YMMTExLF26lKioKMLCwggLC2PlypWEh4eTk5NDVFQUnTt3xmg0kpqaSmKQvhjPFNxuN1arlZiYGCRJwmQyYbFYcDqdnH/++ezatQuHw4GqqlRVVbF48WJcLheyLCPLMkajkcTERNLS0hg8eDDdunVjxYoVDBkyhOjoaL755hs8Hg+KomA2m7FYLLhcLsaNG0dOTg719fV8++23REVFsWzZMhRFoa6u7pT4aeroFSSn00l9fT2yLNOtWzdiYmLweDzU1tayePFiHA4HcXFxjBkzhm3btrFv3z6cTid1dXX+sqxcuZLIyEjCw8OJiIhAp9MxYMAAFi1axNChQ/27j6fS55miKOj1eiIiIoiIiECWZcxmM0IIfzAJl8uFwWDgggsuYM2aNXTq1Inw8HBiY2OZMmUKqqoyfPjwgF5EFEXBaDQSERGBzWZDp9NhsVhQVRUhBHa7HbfbjclkYtiwYaxfv57OnTtjs9mIiYlh6tSpAAwePPisvWj6bBMWFkZkZCTr169n9OjRfP311+zevZsdO3ZQUFDA6NGjsdvtpKen06NHD1577TXi4uLQNG/wOJvNhsViYevWrQwcOJDFixeTnp5OeHg4NpuNLVu2MHDgQKKionA6neTn51NXV0dtbS0///wzLpeL3bt3U1RUxOrVq0lPTyc/P59t27YxYcIEfvzxR9asWUNNTQ3btm2jf//+QV9hDOHMIMT/v26E+D/E/yH+D/F/iP9DaA0h/v91I8T/If4P8X+I/0P8f3IIZhtgnBDiaJPP9wPfCiGelSTp/sbP9wEXAz0b/50PvNH4fwjnKJxOJ9u2bWP8+PGYzWZGjhyJ3W5n+vTpDB8+nHXr1tGtWzcSEhLo06cPubm5bN68mX79+p1TO0mSJHHVVVfx1ltvYbPZuOqqq3j//fdRFIVbb72VnTt3kpmZ6d9d/+KLLxg9ejQ9e/akR48ebNmyhcjISAoLC8nLy6Nfv35s3ryZkSNHIkkSP/30ExMmTECn0zFw4EA+/PBDLBYLN954I4WFhVx66aXs37+flJQURo8ezbJly0hKSuLNN9/k8ssvp0ePHmfcJl27diU3N5ePP/6YPn36sH//fmRZZtasWXz66aeMGjWKpKQkYmNjWbduHUlJSQwfPpzly5fz3nvvYTKZeO6551izZg2apjF06FDi4+PJysoiMzMTh8NBQkICmZmZ5Obm+neMTwVSU1Pp27cvL7/8Mpdddhljx47l6aef5tJLLyUpKYkPP/yQAQMGkJiYSP/+/f1+94YOHYrVasVisTB16lSMRmNA+nr27EnXrl157bXXmDlzJi6Xi2eeeYaZM2cSGRnJ/PnzGTZsGFFRUZx33nm43W7CwsI4//zzMZvNWK1WpkyZclb7hMlk4qqrruLFF19k8ODBTJo0iTVr1nDNNdfwzTffEBMTQ2ZmJsnJyciyzIEDB0hLS0OWZbKzswkPD+d3v/sdL7zwAqNGjWLEiBFs2bKFK664AkmSaGhoQJZl3G438fHxJCYmYrfbkSSJhIQEkpKSiI6O9l/j6tu3L+eddx5r164lKyuLlJQUunbtyrhx48jPzyciIoLExERSUlLOuZMuITRDiP9/pQjxf4j/Q/wf4v8Q/4fQDkL8/ytFiP9D/B/i/xD/h/j/5CAFstslSdIBYEhTMpUkaTcwVghxWJKkLsAqIUSGJElvNf497/jn2kp/yJAhIi8v7ySLcmbhdrsZPXo0t956K1ddddVp16dpGtOmTeOiiy7i9ttvPy3pH+/H6Exj9uzZqKrKK6+8clLp+Pwv+f6G1q9INX2uLTS1y/E2OlPBFV599VVWrlzJggULTmkdHV/+sxUsYsmSJTz88MN8//33WK3WFr83zWfTOgik/lrD+vXrufHGG1m7di3R0dGnXd/OnTuZNm0aq1evPmMnOo7vAz4/ZsfnXwjBoUOH2Lp1K1OmTGlXvqN6g03jdEFRFCZOnMjNN9/M9ddf36E0JEnaJIQYcmpzdm4jxP8t4Xa76XPH2yQmJrL0votPuz5N0yj8y3wMBj3JL57Y/2NH0j/b/F/41/kgIPWVk3uf+rXx/zdfDkNRFKZcvvFXy/+e2ocIt4Uz7pLVLX4/Hfxf9Ml2bDYblzzV8gr+6eD/Gz/6CZvNxvIHLglaviMI8X9LKIrC8mHDSOySyPnLl3UojRD/+7/7zfN/aP5/ahGa/7eO0Pw/NP8PFiH+b4nTPf8PdDG9AKgCvxinFAAAIABJREFUBPCWEOKfkiRVCyGiGn+XgCohRJQkSV8Dzwohfmj87VvgPiFE3nFp3gTcBNC1a9fBhYWFHSrc2YKPTMvKyujcuXNQsh0ZtIQQ7Nu3j8jISOLi4oLS90tBUVER4N1NPZfRWv2dTiIqLS2ltra22c72yeg5vs+3Nui2puP4ABQnSvv4tNpKt7q6moMHD5KVldXqy0IgetuSae35uro6CgoKyMrKancXOVC9JyKKhoYG9u7dS2ZmZsC75CeL4+sSWq/Ptur4+JfR4+Xbeu5MEWZH8imEYPfu3bz22muhxfQgEOL/lnC73fx3/tWYw49wmNKgZOeX9qZersVcWxuElGDSvgGYnPXoTeVB6asK64PbFE41LScq7WFb7x5UhIfjIJh8QkTdtxhdRURUVQQlN2lf/zNavl1yLJWYcGAPSu6WvQtJr6gjpiY8KLmYzInIUUlUW4LzK/rOyGryjTHsrY069mUAw2yY9jF6ZT/6hiNB6Zu5aShmZwOaMziu6jpqH+aYBtyyzp9F36h8/N9NIYQgcn8YKUoljobAr/pW1F5MtbsrDntwCwwCgT5V4NDV4RaBX7//Rp9MGWFU645/ZxC0XyGC23a9SreKOiRP4G2tV8q16CPTqDO0nPCfCP+O38kBVySqPTjZbuYjxLoiSQyyzxv1Gna5jj3CHZRcR/vghUJHnDOKTlU+fU3faZvWRfMWGOVWCHMe5qoFjwalz59yiP/PKP9Pn/83qtUDpHUOO13F6xCEEGzevJkna+8lQQunsqYyCFn4Iq2SA64ICo64AhTyziMuTrYS64xGV+YIWN+FF6xFRBSTX1cSsAzAx0om9XItzqPB8fjT9r8RH6RNAD7vWsEBVyQHSgO0SROM7SQT64wKyi4+BGOfjtqkKYKxz4LUSgqcEewqqG7uQuVkplmNQ+LYzsfZzEdjbRJ1k7/b0n/8M03SasvOiqLgdrmwhlnbSLh9xcHUidf2NooOlhAWZj3BvL6J1uMeW5DapP+egP7HdpKJaYhEV+pAkoOruLPdd9uyge9733fN7BEEgum38ZqGcBzkg0OLz8n5f6D3EUYJIQ5KkhQHLJck6eemPwohhCRJQTl0EkL8E/gneHemg5E9lzB16lRGjx4d8PNut5tHHnmE6dOnM2zYsIDlNE1j7ty5DBo0iIsvPv0n4c4G/v3vf6NpGjfeeONZ38VqD/PmzaOiooLbb78dSZKorq7mjTfewOPxMHPmTFJTU5FlGZ1O5w/QAeDxeDAajSiKgsFgwOVyYTabcblc/kVdRVGwWCzNyv/111+zfft2evbsSWFhISkpKUybNg2Px4PBYMDtdqPT6fz6jh49yr59+xg9ejQejwez2ez39fXzzz/z+eefM2TIEGpraykuLmbgwIHo9XqOHDnC7373O/Ly8lixYgWPPfaYP18Oh4Onn34anU7HsGHDmDBhgj9/brcbs9lMXl4epaWlWCwWcnNzufzyy/nmm2/o1KkTNpsNs9lM586dyc7OxmQy+eU3bdrEvHnzuOuuu5p978Mnn3zC9u3bMRqN3H333QCYzWacTieSJGE2m/2DpcvlQgjBli1bOHToEDNmzGjRlnwD6p133onNZmuznj///HO2bt2KwWDgnnvuQVVVrFYrbrcbSZIwGAxUVlayfv16Lr300jbbbHFxMXPnzuXWW28NeuOtIygvL+fRRx/l4YcfZsuWLfTs2ZPVq1fTrVs34uLi2L59O+np6SxdupTRo0f720Z2djaPPvoot912G5mZmZSVlfHdd9/Ro0cPCgoKSE1NxW63U1tbS21tLXFxcVx88cXU1tby4IMP8te//vWMXGVsaGjgwQcf5Prrr2fAgAE4nU7+85//MGHCBH9+NU2jsrKSsLAwiouLufHGG1FVlSeeeOK05+9XiBD/t4JIzYwsjJiCWRwVAocShsfgJLKVsa49GDw2JFXFFGSQJ0mWkCUZkzE4OVmWkWQpeLl6CVmWWh3L28OZLp+kSkhCxmQMLp/oHCC5/eUTQuB2uxEIjAZjm6fHJElCkhr1Sd4JieT7v/EZQcuJmzA6kHQR6HSy/6SUwWA4bsNUakzL6zNT0zQkGu1iMiEQSEioqorH4/H7p9Q07djfQsOgN2BSwtBpKgaTqdlkxelyIgE6nb7VTWhJkpCQGoNcKegNRhTF4/8eCSTJ+17UtIyqolKvWPFotZhMLRfwPR4PqqqChN/mEpI3XVnCZD5Wf745laqqCE3DYDS0SE9TNfSyhwZJxtxO3bsb9UqSty3LmowsScfyKIHQBIqq+t/xWoPQNGS5HiQP5iD6hCTL3vozB9c+hSbQjHUI1YxOp0OWZRRF8fsFVlXV/51er/O3Q52sQ8j1CMnqbTOa8Mv52p2vfQkEsiSjN+gRQmDS3DjPYB+UPHaEbGtsDwK324Ner/fmVyeD8B0WAE0T/kMMOpcdnfaLpJuzibPG/5UON05Z7UiezwjMqg29ZCIlJSWg54UmKDhQAKZ6ZM1K15TADo4JISgqKkLWO5H0SsByAGbdBlSdnq5dA8ujD/X7wvDIrqAPt5l+CkdP4DbxQTKXIGthQZXNB9m1F0lv65BsMPbx2sQbyDExMRFJklAUhYOHDiI0QWxcLGaTud3TuaYdXvskJiZ5x1RNa/aMrDv2/uC1iddlicVqweV0YTKZiImJ8Y/JWqO8JElomobH46GhoYHIyEhveo3jtiRJ1NfXU360nPDwcGR9JZIujHCbDUmScLvddO4cg91up6qqirS0NH++VFWlsKgQCYmIiIhmJ7o14c1Hnd2O2+1BlmXsdjuxMTFUVlai1xvQ6XSYZT2KTkdyclKzdyS73U5ZWZnf9cjxKCsrw+FwIEsyySnJAMfKDdQXeNtpSkqKn5vq6upwu9x+3/k++NqmXq8nKSmpXT/d5eXl1NU5kGWJ5KQUL+fJOoTQ/PXSJaELNbU1xHRu27WNt22GkZiY2O57QmvoSN/1uD04DlhRjC7CwsKwWCxU11RjMVswGA04HA4sZguVlZX+NiLJEuG2cEw7j41nHreHquoqf8wBs9mMoqioqoKiqBiNBjp16oSqqGAqDmo8a26bwPqt+chhrJKNO+6445yc/we0mC6EONj4f5kkSV8C5wGlkiR1aXLNq6zx8YNA05pPbvzuV4lhw4Zx5ZWBX7t2Op28+OKLDB8+nJkzZwYsp6oq7777LgMHDgxK3y8FQgi+//57VFXlyiuvPKcX07ds2UJxcbE/n8uXL+eGG27gsssuY+fOnXz77bfIskx6ejo7duwgKSkJh8PB4cOHGT9+PKtWreL8889nz549pKen8+OPP9K3b1+cTielpaVcffXVJCUlkZycjCRJFBcXc/ToUbKzs+nXrx/p6emUlpZSWFhIUlIS+fn5xMXFkZqaSk5ODl26dEGv1/sDQfh8oM2dO5fBgwf7o5Ln5eUxefJkamtr6dSpE4cOHWLDhg307t2bzZs3c8UVV/gnIdXV1SxcuJDs7Gx0Oh3bt29H0zT/xH3AgAGMGjWKHTt2UFlZyZw5c1i5ciVdu3Zl4MCB5OTkkJGRQXFxMQUFBTzyyCP+OrZarSxevJgZM2YQFtbyBMrOnTvJzs5m165d1NXVkZ+fT58+fdi2bRtOp5NXX30Vs9lMeXk5zz//PJqmYTAYGDp0aKttae3atbz33ntcdtlldOrUqc163rNnD3379vXbsaioiMTERA4fPkxlZSWDBg0iPz+flJSUdtvs9u3befnll7n00ktJTk7uaLMLGIWFhTz77LP+TbeRI0fidDo5cuQIsbGx6HQ6evbsSU1NDYmJiaSnp7N27VouvvhinnvuOS688EJGjRpFQUEBhw8fZvr06bz55puYzWY8Hg8ej4cBAwbQvXt3Zs6cSXl5OU8//TTjx4/n/PNPv3tMu93Os88+ywUXXMDkyZOpq6tj/fr1/OEPf2Dnzp14PB7/5s2ECRPYv38/V155JYqi8Prrr5/2/P3aEOL/1iHWT6BLchITH5kYsIzT6eTVlZ9iMZlZ9lTgPK6qKh/f8SaGMANXvXJTR7J7BjE9aAkhBPPueAssgt+/fMs5zf/9PlyMEBo/XbPQz/+7du0KgP93M35EMsuWLQiK/y+bl41H8ZB/6BoURfHyf0n7/F9RUUF0dAwuVzjDhw/n66+/Zu7cudTW1rJy5UpKD5f6/cL6+H/z5s106dKF1LB+eIxuZr1yUzP+v/766/38f9Rub8H/Rttkfmrk/7Fjx7Jy5UqOHDni5/8BAwZQXFxMenp6M/7/+uuvebS2kvDwcFY/1rLtPP744+gtenbt2sXw4cOP8X/lNpziR159syX/63Q64uLiuPvuu1vl/6h/7yI8PImuL7ftouGpp55C0zR+/vlnxowZw5CinS34f+fOnZhMJp555pl2+f+KhGhsNht5V37a0WYXMAoLC5mw8nbCbGHsKb6akSNHsmjRIo4cOUL//v1Zs2YN48ePJy8vj9TUVD//P/TQQ0xc/jpWq5Ufr/qcgoIC3nnnHT//JyQkYLfbsdvt9OrVqxn/l92/EGtYIumvXn3ay2e32xn6+VVYzBY2//5z6urquPfee3n44Yd56KGHMBlM2Gw2KioqmDx5Mvv37+euBx9EURT+L3sQXbp0Oe15/DXhbPJ/gjILgHcvGt7RJE4L3G43ox8fTdXwchwGI9Mfvi4gOafTybUj7uPxyWA0GLloRk5AcqqqMmXKFDaMtWI0mci9Yn7AeS2+qxqAlJdmBSwDMDfnSyzA162Mye3hy3vfxwEB2wS8/D/l47sRCKZfvTVo/h/6uXccD8YuPgRjn7k5XyI5nfQqWcwH931wjP/tgfC/d/5f7jhElV7HBuXnE/L/jC8fxuVy8da6LowZM+YY/5fub5//nRVEW6L98/8W/F9awvyuG5F1OsZt7HqM/41d6N27N6vnz+eJD1cdx///JDs7G1V3lILj+b/vAGJtNnbs+NnL/1Ma+d9zhIF9vPx/5Y8z0DSNVUnFLfj/zTceICfnq1bn/48//jh6fSv83zj/tyRdjAV477ZRLfn/mub8/+W971OjKtz/wwvkvpTb7vz/qaeeQuvcyP8JY5rN/y+KX4ROp2P1xnGYzCaeeeiGNtvs4E9m4nA4WDHpn0HP/zvSdwsLC1FWrcJmszEjqoiR2Y38v6eR/9c38v+Blvz/3Yb/UmOxMvPhGykoKOCzRv7/z5tvkhCegN3ZnP9Hz5xAeXk5E//vLqxhVqbODM5dVzD9tvCaa0EHnWbcek7O/094P1KSpDBJksJ9fwOTgO3AIsA3Wl4HLGz8exFwreTFMKCmPX9pIYTwS4fVaqW6upp9+/axZcsWEhMTcbvdlJSUMHXqVGpra6murqZXr17U1NTQrVs3Dh065A/UEBMTQ35+PvHx8VRWVvLDDz+wdu3aFnoyMzPp27cvixYtYuPGjSQkJFBeXs64cePQ6XTk5+fjcDjQNA2r1UpVVRUZGRns3LmTHj16EBcXh9PpJDo6mqNHj/oXVi0WC9HR0QwYMICMjAzc7tav6kZGRtKzZ08qKiooKiqiU6dOlJeXM2bMGIqLi8nIyECn02EwGKioqECv19OrVy8OHTpEQkKCP7gFtHQ10x5kWSYzMxOz2cymTZuIi4tj9+7dZGZmAlBSUoLD4aC8vByLxUJYWBjh4eGkp6ef1KKMLMtkZGRgsVjYvn07Y8eOJTc3l9LSUvbv38/GjRsZM2bMORWE53jYbDbmzZuHEIJ+/foRGRlJSkoKNTU1hIeHYzQayczMJC4ursWpAL1eT2FhIR999BFTpkwhMjKStLQ0f/uqq6sLqh5PF2RZpqGhgVdeeYVJkyYRExNDamoqgP8GyLmQz18iQvwfQgjt49fG/20hxP8h/g/x/28LIf4PIYT2ESz/e09Vi7PO/z5uPFPzf99tbji1/K9pGsAZ5X9N01BVNcT/5wCvniv8H0griAe+bGyUeuBjIcQ3kiTlAp9KknQjUAj4jlktBqYA+4B64IZTnusQQjiHMHToUIqLi9m1axdXX3013377LSkpKXTr1o3OnTsTERHBd999x9q1a7npppsYNGgQ4eHhrFq1iuHDh2M0GomNjSU8PByn08nll1/e4vSMJEkkJSWxatUqbr75ZiRJYv/+/YwfP57IyEhSU1M5evSoPzL5wYMHiYyM5MCBA1x11VVUVVUhSZL/BPo111xDeXk5hw4dYsCAARw8eJDzzjsPs9nMhg0bWpTRYrFw/fXX069fPxITEzl48CDh4eGUlJSwfft2pk+fTnx8PBMnTsRisbBq1Sr+8pe/sGzZMkaOHInL5cJisdC9e3f/9bhAMXnyZLp37050dDQmk4kdO3Ywfvx43nvvPSorKykrKyMqKooePXqQlZWFx+Nh8ODBJ+2ffOLEiaSlpRETE0Pnzp1ZvXo1t912G9u2bWPMmDFkZWWxfv16Jk4M/GTqmca1116L0+nEarX6rwNedNFFREZG4nQ6MRgMmEwm+vbtS0NDQzPZpKQk/vGPf3iv6DWeSlcUBafT6W+r58IJUovFwt///nckScJqteJyudA0jd///vdER0dz4YUXnhP5/IUixP8hhNAOzgT/A2eM//ccyG2hO8T/If4P8f9vEiH+DyGEdhAs/zfsOQKSRExMzFmd/6/ZOxdNCGbOnHlG5v/yijp0sszkyZNPKf+LBK/rsTPJ/0bjJmRZx4Hi4hD/n2WcK/x/wsV0IcR+YEAr31cA41v5XgCnPtx0CCGcozAajcya5b2GI0mSP7iBrwOnpKQgyzLnn38+o0aNwtzoEzYzMxNJkhgw4Fj3aq/jZ2dnM3jwYP/nMWPGtBtswYemzyQlJXHnnXe2eGbw4MH+57Zt29ZCt8lkYty4cQCMHTvWL5uSkuLfNZYaXxCEEPTt2xdJkrjxxhubpSNJEt27d2+1fG3B5zpk/PjxCCEYOXIkdXV1TJs2jfj4eAYMGODP+1VXXdWizB3F0KFD/XoBv56hQ4f60x80aNA5QShtwWQytfBdHB8fD+Bvh+DdhT6eTGVZJiIiwv/Z51/O52c+WJ/IpwuSJBEefiwYoC9Qj+/KYHtX+UJoHyH+DyGE9vFr4/8977W8qhvi/xD/h/j/t4cQ/4cQQvsIlv+XrPoEgFtuueWs8r/+gPeU+ODBg8/I/L9kldfFWbCuQE/E/39ZWAB46+FM8f/SL98B8MfNO1cR4v8zx//n7v2EEEL4BaHpgOoLCOq7/iOEYMiQIciyTElJCaqqkpiYSFVVFbGxsf4AId6AUO13yfYGbo/HQ2FhIeHh4URFReFwOPwBL1XVG8THG/xLOmFagZRX0zSioqI4evQo8fHxVFVVERcX5/9NVdVTcgVKCEFpaSkOh4PExETMZjPh4eFMnjy52XN1dXX+a+uBplteXo7L5SIxMbHNwHE++F5SysrK/PXms6Hv+5iYmHaDmvigaRrFxcUAdOnSpYXtNE1Dr9fjcrmoq6trtR5dLhcejweLxeIPInp8GXwBw8Drez4xMZHo6Gh27NhBaWkpJpOJnTt3MnXq1Gbk2lTebreTm5tLVFQUO3fuJCYmhsmTJ5/QXj6oqkphYSFGo5G4uDiqq6uJjY1tUVaPx+MPyuvxeAPXtZantuDxeFi7di0mk4m9e/ciSRJXXnnlOUP6IYQQwq8TIf7/5fE/EOL/EP+HcA7jVl5BCj/E2o/sZzsrLTDnj3U8J/4Ph87OP98LzFe3QGC9wYp+6y3EaTbKfvooQG2CNwfM4NmiOgpckVz4Y6By0N1aR6wrCusTLV2HtIcnEhZBZBFrP5oTlNzfu6cGZRMf7thzLwmajfI5H3EsJHdgGGQaSoEzOLv4EIx9fDbxdCth3ceDgtJjAXI/1/h793QcOjtvvTfvhBx8x54/k6LZeK1PKRVPzaN9u4hmwUi9QUdl/29eHJP32Wz8jx83S8XtFngGX8fkxz6j3ewJb/BR2OHXJ0veQOOIlsHU27Kzx2NjyuQXePGFzW3aQxMaCPxl88IGOJq00ydOYJ9jbTMhLYGrF3rje/iCtAYKIQR37v2zt63+5LOdaBJstnkehpiGUeCM5P+9tgpZlnyPox23+dGa7dprm6LxwWN17U1b0zRe6rWq0SZP+Z/XNBVJkht5V0XTvAG6VVXzu995f2AaDp2df7/3ebPy+gKxq6qKJEsY9IZmv9+590ESNBtlO1vrf43tEm/A+KZ2atpvW/PE0rQ5lKVPI9zgYVkrGuDs839oMf03Co/Hw4oVKygvL2fq1Kn+6MztDe6t7Xye6V25AwcOeCM1u90kJCQQHx/PihUrKCsr43e/+50/OvGOHTvIycnhggsuoGfPns0mPU3zbbfbcTgc/t26ky3P4cOHmTt3rv8qlk6nY8OGDcTExDBp0iTuv/9+EhISSEhIwGQycfnll3PkyBGEECxZsoSHHnqozTycKG9FRUXMnj2bpKQkxo4di6ZpDB06FJfLRV5eHvHx8f6glKcCDQ0N3HXXXaSnp5ORkYGqqlx00UU4HA5qamrYsmULf/7zn09JG3n++ecRQmA2m7njjjs4evQo6enp5Ofn07VrV6qqqlixYgW9evUiIiKC5ORk/+S0LRQUFPCvf/2LsLAwLrnkEmJiYjCbzRgMBo4cOYLVaiUsLAxVVamqqsJsNhMZGclXX33FjBkzOHLkCGlpaRQWFhIbG8uiRYuYPn06xcXF9OrVi8OHD+NwOFrNg8fj4Z577iElJYXU1FRkWeaSSy6htrYWj8fDd999x7Rp06itrWXfvn0MHjwYTdPYuHEj8fHxjBs3jtdff52ioiIuvfRS5s+fz3PPPddiF9blcvHKK6+gaRo7d+7kmmuuYdiwYcyZM4fy8nImT55MQkIC69ev9588OB4ff/wx//nPfxg2bBhZWVksWbKECRMmBPwCUltby1/+8hfS09PJzs7G5XIxfvx4XC4XBw8e5ODBg1x33XXMmzeP3Nxcrr/+er744gsGDBgQVLDlVatW8eSTT5KSkoJer2fMmDEBLWyEEMJvDSH+D/H/yeKXzv+apvHoo4+G+D/E/yGcozDrzSg6AyhnOyeto06x4pGcQcsZFBsSJsARlJxmrEdSreAOfMNQkutAav68wLt5KzSBwWBodYwyyjpUKfj+c/I2qWvzGU3TQAgEwr+ZqSgKmq0eSWm0iwBV01BUBb1Oj06Wj61vHremLARIupb2aQs+m3ja+F0IgdPpxGQy+pUoqoIsyej1epwNTr993G43BqMBoXkz5fF4WmweHrPJiaFpGg0NDciy7N/E1ul0IEBRVWRZQt9kEVQzNLFZByCgUZ/OzwV6gx60YwuwJqPRb+vW2mGgcDldjYlImIxG/wK4pmn+OnG7Pf420XSjuyl8ttfjRNM0r394CQx6Q7OFek00Lv628t7o8Xj89SKEvXEDQ0ZRPBgMBjRN9R+QEEKgGepBsQLH6vaY7WS/7QwGPUITCAGKonj7pdFrM1VTve26cTFbr9fjdrnRNO9CuNvtxmKx+PPbtO+6XF7bqaqK0WhEp9fhdLoQQkPfWG7fQY7W+q7b48bj9qDT69DJOhSP0mwxHdofz4QQ/rL6+Fiv13s3FBptI1wWPB4PqqpgMBq9+nQ6jMZjetwGE3XWtjfXzzb/hxbTf6NYs2YNP/74I1lZWeTm5lJeXk5tbS3p6ekkJSVRWFhIQ0MDHo/Hv7Nz+PBhGhoamDFjBsuWLSMqKsp/jeSSSy45IxPrPXv2cOjQIWpraznvvPMwmUzMnz+f4cOHs3//frKzswF499136dOnD5s2baKoqIiCggJSU1PZsmULPXr0wGw2s3fvXgBKS0vp37+/P5jGqlWruOaaa/wLDMHA51+rurqal19+maSkJOLj4zGZTAghiIiI4P777+dvf/sbBoMBVVXZsGEDw4YN49ChQ+2mfaIgCkIIBg0axJQpU3j77bdJSUlh2bJlmEwmYmNjgzqxFQiEEHTp0oW//e1vPPDAA1itVn766Sc8Hg+jRo2irKzslOnS6/X8+c9/5plnnuH+++9Hr9ej1+vRNA2bzUZdXR3h4eHY7XZ++OEHJk+ezC233NJumtu3b2fo0KHMmjWLNWvW8Mknn1BZWYmiKERHR+N2u7Hb7QghiIqKwmg0UldXh6ZpzJ8/n7y8PEaNGsXSpUsZOXIkxcXF7N+/n+7du7N48WL27NlDt27d6NatW6v6O3fu7G8LZrOZffv2UVNTw/jx4ykpKeGxxx5j+vTpbNy4kZycHDIyMqisrMRiseB0OsnNzcXtdpOamtpI4loLHaWlpVRVVTF9+nScTicxMTG4XC50Oh1paWkMHDiQH374gTvvvLPVPAohqKqqolOnTowbNw6bzcbWrVtRVdW/m30iCCFIT09n9uzZPP7440RERLBhwwaMRiODBg2ipqYGRVFYv349JSUlbN26laqqKioqKprtuJ9IR2VlJZGRkYwYMYKMjAwWLVrE5ZdfTmRkZED5DCGE3wpC/B/i/5PFL53/VVU9c/zfStcI8X+I/0NoH92U2VANcTf3P9tZaQa3283o0aPRT7wMi8HAksemByTndDoZMWIEVReUU2cwkv3YdScWwjtWXTNlCrddX4bJZOKiGTkB53Xo517XF7lXHDsp/u2335KTk0NWVhZhYWGt8n/80rEgYPM47wJWoPxveeJLLBCwTcDbf+fd8RblCAY+d0ubfX7ZsmXN+L9nz57cd889XNZnC3qdnktm5iKE4J577qFPnz5YLHpiY2Pb5f93On2PTqfjxoqxJ+T/4rtKaHA6ebJuBR988EGLfHo8Hp555hkmTJjQjP+7devGjBkzuPPOOzHHT0Q4G+hRuZqsrCw//+/evZvXX3+92Sbll/e+T4XLxYf5i1i0aFG7i4N79+7lP//5TzP+Lygo8PN/v779/O5oAC7/YhhAi7b0/vvv89Zb77N01aoYDSYTAAAgAElEQVR2/Y7X1dVx77338uijj/r5X3Nofv7fv38/c+bM8duotXYI8PXXX/PAAw+Qk5Pjd83RFEII7rvvPj//19fXN+P/mLJRCAFvWreSlJTUjP+Prx/LE19iVFUOf3QfjzzyCJpJ8/P/2rVrA+b/Cl0ZZarCulTRjP9NJhPdu3entLTUz/9Tk5bgcjoZMWEZycnJgHeB+y9/+Qtz5szx87/JZPLz/8aNmyk7WMbGaQqqqjAuN9XP/xkZGf7yud1unnvuOV588UVm3zuHmJgYCgsLqZtzPmFh45HuHsEbb7zB9OnTWbx4MdOmTSMlJcXbDs1mZs2a5ed/vV6P55mvsFqsLHlyJuDdoHnuuedYv349N998MzabjQULFvD888/7N37Ky8tZvGE+NVYr2Y81d+sHUFlZyUuPP87s2bN5uJH/7XY7RqORqb03IoTg4hkb+Otf/0pJSQnTp08nL28T/fr145ZbrvPX4fTNe9tsi+cC/4cW03+jOHjwIKmpqZSUlPivmyYmJrJjxw7++9//0r9/f1auXEliYiKVlZXcdNNNLFmyhGHDhvHZZ5/RqVMncnJyqKmpYfbs2Wc076qqoiiKf6dt0qRJbN68GYvFQt++fdHr9VxyySVs2bKFvLw8jh49SkpKCnl5eYwcOZLNmzdjs9nIzc0lKysLgPXr15OVlcXChQtRVbWZD6ZgYDAYsNlsyLJM//792b59Oz179vRfv2poaOCDDz4gLS2No0ePkpyczM6dO/0EcTJRhyVJIj8/ny+++IJBgwZx9OhR+vXrx4YNG0hJSaGqqorVq1dzwQUXnJKFD0mSqKqq4v3336dPnz4UFRWRlZXF2rVr0el0KIrCN998w6RJk056h1DTND799FP/7mtaWhp2ux1FUcjMzGTDhg1+H1/dunWjoKDghBOxHj168Nlnn3HkyBGMRqN/MmqxWBg1ahS1tbXk5OQgyzIjRoxAlmVWrVoFeH3F7dq1i4qKCjIyMigoKMBgMGAwGFAUBZ1OR2xsLMOHD+fw4cOt6rfb7bz//vv+iOeZmZl8//33/l332NhYMjMz2bhxo3/ympiYiKZpjacfTHTt2pWkpCTCwsJaLWtCQgJdunQhJyeHvn37Ul9fj8Vi8Z9IKywsxGAwUFpaSlJSUgt5SZLo06cPycnJZGdn8/bbb9O7d++gru9LkkRpaSkffvghAwcO5MCBA/Tr14+cnBz/Qp3v+rrvpN6WLVs4dOhQwJNp8PoDnDFjBiNHjuTLL78kIyOj1ZezEEL4rSPE/yH+P1n80vlflnVs3Zp3Zvi/leKH+D/E/yG0j+fLcrE6IjA+cW65eREIxl7wBBenfBK0K5S5N9uDdg8DUP+7egw/3R2ke5jWXaC43R4gicVra9C0KgBk2YzIP4ymHkSn09E70k2sKwqRG4nJaMTtjkSn1/HevwuRpEwOFmkIITCZTGzZtM6fdkfdw7zT1+uC48P3F7X5jKIoaJqGMAm+2vEVul06PCM8GLbd3ehm4j8A3G3th7pPRdPqEMJOL0lG5BfSWxeLlluJJEn0Vi3IsszO+tEUuCKZb9cxryAPCOPL5xe36uKku7WOWF0UKRHX8vScdS0fABTXaJZ/o5DR4xZUTaXermfHTxJ7ft5AdMQM5nT5GCKLUOoOotevo98ED7K8jb6DNdbPG9wsLZ9bElOGh6kfTm3Xfpqm4Yx3snrzauTzZPK1fKQECUVV2CPvYV3NOt555x3/2H3HHq+rkuPb0ni3xuiR11I991NO5FbmvohslL8v5snE0Wia5j25rCro94GmpXL40fcb9UltuuLxeBTMY29n6lP/bd2tjIAGTwY/vLICYRmKMHv50efm5AWry+sKRX8JNVUyfTIHUlJIq/Xja5vOe8Eq/394FA8bPvlfTMC4dIFIE0h4T9h7Xe+pSICu0WaqoiCAZ5SDOHR2rKqGmCJYIpZAHy/XbZY2I7oIRIKgXF/OyG2zSdFsGApWUiYfc7tzf+QgXC9/dcx2Oh2KWUH/s8IFYf0hHZ4pqqXAGUmuDjbt14FkZenGev7x41c44y9EkmT+518bcJoGc8X/foMsS2iaoGeCRqxLxvJeMQZ5El8vdCDJY1n0pR2dbjc9u92EJEus/V4DbRxvvPYzsizzUs9VjX33Gb/Nhid6GD5DoK96CFepi+nZMpsWDD9WPUL43cP8q4l7mKa/12fWc8M3NyAN97p2k2UZRVWY1thva/Z8xv2RgyByEIYCmfER2UhFUjOXT085BNVSNTzc+gbk2eb/0GL6bxQTJ07k2WefRafTkZmZSUlJCQcPHuSWW27hH//4B5MnT+bgwYMkJiaiqirJycn07t2b7t27k56eztKlS4mKiqJ79+4kJCScsevePXr04L///S96vZ4BAwaQm5vL9u3b/ZPQ7777jokTJ7J//37Kysro2bMnqampCCHo168f3bt3R1VV8vPzSUpKIiUlhbKyMr+fpfHjx+NwOE7K1+e1115LWFgYkZGRzJgxg4SEBGpra9HpdDz22GM4nU7S0tKoqqrCaDSSnJxMRkYGhw4dateOJ7JxSkoKDz74IBaLhfj4eOx2O3a7nQsvvJCkpCSqq6tP6S6dxWLhySefRNM0UlNTqaysxO12M3z4cDIyMhg8eDBRUVFB+SNrC3fddRfV1dV07doVh8PBoUOH6NGjB7t376ZHjx6MHTuW2tpakpKS2LdvH127dj2hvbKysrj99ttxOBz07t2b3bt3Y7VasdlsWK1WVFVl7NixSJLkH5TPP/98hBAYjUZSUlLo2bMnBw4cIC4uDr1ej9VqZdeuXfTu3RuHw4HNZuPnn39uodtgMDBnzhw8Ho/fdpqmMXjwYLKyshg0aBDR0dF06tSJ+++/n5qaGsAbTMNutxMdHc1jjz2G1WrFbDYze/bsVuvWZDK1eurs2muvbWGfqqqqVu00dar3JU6SJB555JHj/NadGOHh4cyZMwdZlklJSaGyspKGhgbGjh1L9+7dOXz4MCaTib/97W8YjUYSExM577zzUBQl4LYjSRIjRoxgxIgRSJLEvffeG3Q+Qwjht4IQ/4f4/2TxS+d/nU7m9tvOEP9v/7KZ7hD/h/g/hBPDgx1NnLs+78+eK5TA3cO05s7DG4/BCUiNLik0NE1gNBlxa270Bj2SXAmSBb1O53fRoJN1CEBpjGkgyzKS3LyPnU6byLKMx+N1sqITOlRVRVM1v10Updp/Yvl4X9iypEOnk2nqW1yWZTRjPahWNE3yb2i3NWwE4qrEYDT4XYQYMPhdfkh4Y0D47KNvPNnrc/UhRMubRT6bmNp0LNPcNiazye+bGuFdyNTr9cfy0KRgHXU11BTmJmXwujUBnV6HLOsQQtdM38m4lfHd7DumR0OWdY1uT6pBsmA0GpFlGVWnIkut80bTtinLOowmb3o6nQ5VU4+5dmn0Xe7bCPDtKXg/C+qqvfUSbcLflryPSaia2thPvHV+zM7NNwRbtZ3Oazu9TockS2iGI0iKFaPRG/TTa09vPXrlJaRG+zS1ta+dSkit+gxv7caBEKLVvtvUpYvZ1Lqblfb6riRJWMyWxnw1uohstG1T106+MnjdI3rt3HQzR1NBtHL7zqfjbPN/aDH9N4qEhAReeOEFhBD+68aqqmIymXjhhReQZZnHH38c8HVwmb/+9a/+Bjp69Gg/CZyKyVKgSE9P56WXXkKSJP+Ed/To0SiK0mzA/eMf/0hDQwMWiwVN01AUxT+ADBs2zH8KSZZl/0mips+cDGJjYwHo3bu3/ztfAKn09HT/d75r1zExMcCJow6f6NSayWRqptNqtfp9wQLExcUFkv2AIcsyPXv29H9OTEwEIC0tDYA+ffqcEj2SJJGUlOQ/ORUeHk5CQgJwLOJ20yt5PlsHkm6vXr38n/v3b3mV9Pirfk0nrL569tWfD8OHD2/2rNVqbZGuLMt0797d/9lXtpSUFAD69u3r/81isTSru9baUpcuXVoWsBGtEUqgJHM8IXWEnPR6PRkZGf7Pvnbig89OTcvTkZOhTceh0CQ6hBDaRoj/Q/x/svil8z8Q4v8TIMT/IZxN1A7dSi3w7kXvnu2sNIPPzctN9XdgNBpIeWnWiYU45ubFPCU49zCqqjJlyhQqMsqoM5kCdg8DrbvzEELg8Xha5X/fydHzPv89ADkzPvL7p/aNB263uxn/N+1vxXeVAARsE19+eGAeBmDx3N+32X+FELjd7mb8r6oqXz34EXVI9H/8GnQ6nd9/eGv8L4Roxv8zFo4AYNyU1f5n2nqnGfr5VTgbnAxcFt6qm5dAUHyX151bIPaxPPElsstF+NYPT+jmJVh8ee/71EGLtuR18/IBq07g5iVYtOVWxufmZVUbbl5OhLbcx7SG4rtKUBSVCYsfITf3uxO+c7UFnyujbwLov5/P/jeHHA5i75zud/MSKNqyWXsoLCxk8re3EhYWxqZZnwUsV1lZyeF7h2G1Xkj6368OWK68vBzPc4sJs4axZM4VActB222wNax84n4ABrTx+9nm/9Bi+kli69atQfnW9Hg81NbWsnnz5qAGDk3TOHr0KLt27WLx4sUdyeo5j8LCQlRVZcmSJWc7K+0iPz+f8vLyM5bPn3/+mbKyMr755pszMkhs27aN6upqli5dekYCOOTl5WG32/3+XU83fNfqV6xYgc1mO+36CgsLcTqdrFy5MqiJfkdRVlaG0+lkzZo17N+/P2C5uro66uvrycnJoba2NmC52tpa6uvrWb9+PRUVFR3JclBwOp04HA5yc3P918MDgS+QXAghnCrU1dUFxccej8cfSCgYOU3TEJpA04KT+yXBO8EV5zz/a5rqDxh6JqA26jtT/K+qXn1nkv8F6Xg8njPStnfu3MlFROJRlDOir7CwEGH0Bvw7E/rKysqwELy+uro676nTIMem2tpa+gqBeobK53Q6QQhUNTh9qqriUc7RSJYh/CKhqioejxRwO/TN/w2qiiQFLueb/2s9VTxKcOOkqnhPNQfbN5VGuaVLlwYll+lROqTPt8DdEV5VGvt1sHkFr+sO8N5qO6EejwdNUzl48GCH+T8Y+/jc2pyO+b+njXZxuub/bbXDk53/K57A23emR0HT1JOe//vaW0B1qCoIRIfm/x3pu2VlZX4XNcHyf2+C59Xa2lpvkNsO8H9bbbA1VFZUArB8+fJzcv4vnYyPxlOFIUOGiLy8vLOdjaDg25k+ePBgUFdnhRAUFBQQExNDREREUHJFRUWEh4cHvZtWUVGBzWYLeqCqrq7GYDAEvVtYVVWFyWRq9UROe/D5lm7vlE1rqK2tRZbloAfG+vp63G43UVFRQcmVlZXh8Xha9THZHnyLgMEOqBUVFTgcDlJSUoIiU7fbTU1Njf8EVaCorq6mqqqKtLS0oPQpikJlZWXQJ+DsdjtlZWWkp6cHdcrR95IRHx8fVD7r6+s5ePAg3bp1C+plQQhBaWlp0PpcLheFhYWkp6cHHLSrqb64uLig7OLxePwBd4Lp86qqsn//fpKSkoLqu4qiUFBQQHJyctBB7srKyoiOjg7KLpqmsX//fhISEoLq80IIDhw4wD/+8Q+uv/76oPLpgyRJm4QQQzokHEKr+KXy/7LP7gBbMQf0rsAFBSwosdEg2YkpDS5A420NDxIvwgnzBHda6OXYHRS4wqkXwV3nzXSbiHFFI+qC4/+LBn2BiCjCVVMYlNwL9KNeZye2PrgzHjeX/j8StHD05uDs+Ya5hgPOCOS64PzxJhvDiHVF0bkmuPeNQed9gRZZRBnVQcm9VZ2MQ7ZTVx/cxPb5w9fSRQvHUlkelNyr3e0ccEWi2qNo32dqc6SZS4lxRaMSpCsZIbgo81NERBF7jUUBi31S2pt6uRZTowuUIBRyf9XdxItw9KbA20xH2wsIko22oNtMR9sLAt6uSaReriXJ2Xq8lrZw/aFHSBDhKI7AN9OFELyfcpQDznAcQY4xfdwGYl1R9HRUBiWXMmgTIqKYo67gymcwWXDXhDPr5lVByfkQ4v9Tj/b4f9bzj1JaH4/sDm6OdrohhHfxaWAExLqiUIIY8zRNY2rGZ17fzdWBc6Smafyv3B+Hzo7BGfg7x4OHbyFBsxGpBNdXnu9cT4ErksqK4DagsiOkoG0CMKXnJ0HbBLzjzwtSv6Dt4lv7eujIrQHbx2eTinJPC/c2J1bYGCQ8Sg7YPj6b1FcWdOgGYHsxJ56nb6s287ocEUHrEzTKteFipa122FF9PtkXYhoCbqe+tulWbcgd2CgQmoYky0G1VZ+d9U5no1OWwHFG+66A7MiO9F3BlJ6fdqjvttUGW0O83k5yvcSyd1zn5Pw/dDL9JDFnzhyuvPLKgJ93uVyMHz+ee+65h8suuyxgOU3TmDFjBpMnT+bWW28NKo8vvvgikydPDvra7QcffEDXrl0ZO3ZsUHL/+te/yMrKYsSIEUHJ3XPPPaiqyksvvRSU3IIFC7BYLPz/7N13fFRV3j/wz73Tk8mkkgQSEiAVQgtNQAQL2MvaVnDXsmtDVx/b42N/rPjs2tfV/a19EVFALCiKrAgIRAiRFgIJEJKQ3uv0mXvP748wQ0JmyLlhJoTwfb9eviSZOTl3ztx7P7edcy699FJF5TZv3ozDhw8r3rCeffZZVFVV4f3331dULj8/Hxs2bMD999+vqNw//vEPbNy4EV988YWiwCktLcXSpUvx1FNPKarvs88+w0cffYQ1a9YoushZX1+PN998Ey+99FLvb+7ixx9/xDPPPIONGzcquhjb3t6O5557zjssAa9t27bhjjvuwLp16xTdSHE4HHj00UfxyiuvKGqXwsJCXH311Vi9enWPLs4nIkkSHn74Ybz00kuKLm5XVFRg7ty5+OKLL7p1w+9Na2srZs+ejXfffdfbVZ1HU1MTZs+ejY8//hiTJ0/uvUAXTz/9NO6++25F7WKxWDB79my8/PLLuOCCC7jLud1uXHzxxYqWjxB/DBIDYwLCjAqGJGAMFncoXGo7wsIUHAgC0HSEQhQ0im8ay1oL4DYgTK9s6AShrRWCEIpQY1zvb+5CK6ogiSpoFXw+ADC3GOASbIqHeNBWGSFCB6OS7wGALNaAuUMQpvTpJMkMJoQork8rinALIoyhyspZGkLg0thhDFP2cIK20ghB6EO7aGvAJP3R9Yz/5E+QSyAIIQgLVdaeLrcbOqFzrE4l34WlKhQujR0xCtczt1uCpkH5OuNZX4xGo6JTYkmWAWZRvM4cW1+UfQ9MlmFuDIVL41B8sql1GyEKOsXlZM0RMJfyfQxra4EsGhWuoww6UQ23qFK2r2CATWZwawI3dAEJLp1WhsopgzlP9ZL45hmbWMk+z2w2e8cm5j0GYACsFgvMzqNjNRv5zz884xIrOk4BIGsbASkEYUb+h/4AQBBrFbcJAMVt4uF0uWA2K28Xt+TuNt46T/t42sQzP4YSnonTBbGFu32846ur1QgJDVGUO7Isw+l0Qa/3/UCVucV3m7lcLjidTsUPUTLG4HA4vGOBH89fO7vcLtjt9qO5qiDnwGC32yFrmyBwrqeedVMUTTD6mbT7RDxDBylZVz3tHBGqVlxfX7Zdmcl92nYZYxDEOsXbbtex1pVuu/7WQV90zlaYtAI2btw4IM//6WL6SdLpeh54Hv+0f9cNyDMZhK9yJyJJElQqFbRareKTaa1WC4PBoLicTqfrczm9Xq/4gFyj6ZysI1ThTq4v9QGdE0Ao/R6AzvZUq9WKl9NgMPT5+/PUp+RJak99fWlPz/egZMw0s9ns7cmgpD69Xg9RFBESEqIowCVJ8tantF089Sn5LlQqlfd7UNIuBoMBgiAors/tdns/n5J2CQkJgSiKirddz1iESsvZbDaIotinbV6r1SpuF89TDErrc7lc/TJsATkzuHJmIjExAXOfntft9yfKf7vdjr9/vwIGnR6fv8h/E16SJHx237/QpNYg++U7FS3npZ//BRq1Bpddn6eo3ITProEoitg1f6WicsX3VEKlUikad5ExBvb451AD+PQEY6b6suKB99ECAb//79sVLeeVK6ZAkiVcNX+XonLjlvwOjMnYe9MqRctZ9l9VcLvdmP3PmxXV9+ITy6Byu7H1/xYo2n99+fDHaHI6kf3WnYqW8/Jlk+BwOnDV/F2Kcm7KivfhcDiQ/8dvFNW3evVqRH4zHUbjPMx+k3+c3XdzvgLsdny76AZF7ZKTk4Pigp3oMIbhmv++lbvc1V+dBZvNhsuv/01RuxQUFOC67f8Do9GI336/grtcxYO1sNpsmPza9Yry/8iRI3Bu3Aij0Yh/P3ctd7nm5mZ8t30p2gwhuP7l27jLNTQ0YO73TyFkeAguv56/hxFjDOM//R10Oh0WKWiXjo4OlD8owWA4D6P+8Qfuci6XCw8//LDinq/k1Ll/dgmAEkye9NmpXpRuPD3Tt9+fAI1W22285t7yf+bMmbjL/hA0Gv6x1j1jpouTr4RJp+Maq9lj2X+9iza1BtnP/pm7DNCZA6Io4orfK+s1OGHpNVCpROxUcNzAGMOhu4vBAKT/v1sU5ceyZcugLhZh0GgUtcuGDRtQXFwMM2vrHLf52d7Hbb72q+mw2W346sB4fPKmsjHTd+3ahXXr1mHFyB0AeMf4roLD4cD9R5YrHjO9uLgYn3zyCZ577jmfy+lv3O/Fixfj3X+/i283fqso52pra/HKK6/g1Vdf9Vmfd3zs49rZM2b6NoVjpre1teGFJ5/ENdN+gwC+ccWnrpwPye1G25O7kJeXp2iUB5vNhgcffBBvvfAW6h6tAsA37r32f1fCZbHgwwcvUDRmutvtxooH3keHwYDsZ2/lLnfkyBHM23AJQo2huOw6/mP+5uZmzPzmjwgJCVG07TY0NKD+sekICT0fI99SdswvPLEMRq0WP/Icp3x8GaAFOo5e3xho5/90MT0IDh06hJ9++gm1tbV49NFH+2VcZkIIIYScWpT/hBBCyJmH8p8QQs4sygcpIr3yDOfR0dGBhgZl41USQggh5PRE+U8IIYSceSj/CSHkzEJPpgdBWloabrnlFiQkJCjq1kHIiQRyJm9CCCGBR/lPgoHynxBCBjbKfxIMlP+EDFx0MT0I6urqsGTJEmRkZCA9PV3RZIWE+HP8WHyEEEIGFsp/EgyU/4QQMrBR/pNgoPwnZOCiYV6CICkpCZGRkRg1ahREkZqYEEIIORNQ/hNCCCFnHsp/Qgg5s9CePgiKioogyzIKCwvR1NR0qheHDBLUzYsQQgY2yn8SDJT/hBAysFH+k2Cg/Cdk4KJhXgJMkiTEx8dj2LBh0Gg0NJM3CRjq5kUIIQMX5T8JFsp/QggZuCj/SbBQ/hMycNHF9ACz2Wz49NNPAQBRUVG0AySEEELOAJT/hBBCyJmH8p8QQs48NMxLgIWGhuKee+6BIAgwGAwwGAynepEIIYQQEmSU/4QQQsiZh/KfEELOPHQxPcAEQcD+/fsxa9Ys2O121NfXn+pFIoQQQkiQUf4TQgghZx7Kf0IIOfPQxfQgGDNmDPLy8pCeno6EhIRTvTiEEEII6QeU/4QQQsiZh/KfEELOLHQxPQi0Wi3UajV+++03OByOU704hBBCCOkHlP+EEELImYfynxBCzix0MT0IWlpaoFarMXfuXGi1Wu5yLpcLdrsdFRUVcLlcQVxCQgghhAQa5T8hhBBy5qH8J4SQM4v6VC/AYJSdnY1JkyZBFEUIgsBVhjGG119/HYIgYPny5bj77rtx2223cZcngx+tC4QQMrBR/pNgoHWBEEIGNsp/Egy0LhAycNHF9ACrqanB2rVr4XQ6YTAYcN1113HN6C3LMoqKiuB2u3HLLbfg4MGD/bC05HTCGDvVi0AIIcQPyn8SLJT/hBAycFH+k2Ch/Cdk4KJhXgIsPDwcTqcTsiyjsLAQLS0tXOVEUcQVV1yB8PBwDBkyBHPnzg3ykhJCCCEkUCj/CSGEkDMP5T8hhJx56GJ6gIWEhGDOnDnYuXMn1Go1IiIiei0jSRKWLFmCAwcOYNiwYSgpKUFoaCh16yHd0PpACCEDF+U/CRZaHwghZOCi/CfBQusDIQMXDfMSBDabDZIkISkpCW63u9f3C4KAkSNHwmAwoKGhAZIkQa2mr4Z0R928CCFkYKP8J8FA+U8IIQMb5T8JBsp/QgYuejI9CGpra2G327F7926YzeZe3y+KIs4++2zs2LEDb7/9Nj744APs3LmTdp6EkFOOMdbjP0KIb5T/hJDBgvKfEH6U/4SQwYLynw/d/gyCoUOH4tJLL0VmZibi4uK4ysiyjJqaGlx//fUwmUxobGwM8lISQkjv8vPzsWLFCrjdbkRFReGhhx6CRqM51YtFyIBE+U8IGSwo/wnhR/lPCBksKP/50JPpQdDa2oqvvvoKn3/+OaxWK1cZlUqFq666ChMnTkReXh7GjRsX5KUkhJDejRkzBvHx8TjrrLPQ1NQEm812qheJkAGL8p8QMlhQ/hPCj/KfEDJYUP7zGfBPpl+97H/QKpVhRHToqV4UAMDvt1yEODkMCUkJeG7i3UgsiUX9u/nd3jPcrMYDyTfAZDTBvOQQbKpjzSzLMhZNuRerSirx0QsfwxSbCQCwWi2orbUhLCwM0ugb8MoOFz6v29blrzKUp16DffUMT//PCkyKS+Ve5unRB9F8YD12uGMUfdalbhuspR349MdPFZW7rnweQo+0o74wv/c3ezE4ho1EmcOE+e9t6/3tXUSUt2KIQ4B0aKeicq2tDC7bMGz68Haw8AoYR0X3WubRHXZ0jGyDEGvBn9f+WVF9ZrMZLREtGPvUcMTJYUhMHt5rmWfaNqDEFoGKkVfhxg9yAfBPQmKz2VDnGo0DPtozqnIvYhwRPtcja90QzB11G1a/lQ9B4L/f5nQ6MdQ2Hd+8vsvn69ER//TZzlpdE+691459+/8MlUp1XKmuXYq6f3a3241Z55Tioo+uh1XsQEntquwAACAASURBVEZCYq/L+PstFyFWMuLNOY/B/nkp6tWVPB8NACDLEm4yzsX9b/4/lDlM3m33RKIq9yLGHo4bpz+GLZ9UQKer7/a60+mERqPxObkMYwy/z7bjtx+ugTGl93XTw263Y9Tj2fhTzn3ILOu9TTzcbjfeuP45GL5vRf2+rtsuwxXuKaj6tQp/MJ4P++elsHf5LlwuJ+be/hc8s3YfwnfL3PUBQLhqJN79+6+YFM+/P5MkCVdPuB+68hX4ZeXrPrfb5uYmMDkRF174oaLlIeRkmUwmmEwmpKenc3eJ3L9/P7Zt24apU6fiwgsvRElJSZCXkpCBr+v2M9gmYGOMoba2FjExMQP6SS+1Wo3zzz8fb7/9NiZOnIjQ0IFxLkbIQET5T0hgUP6fepT/fAb8xfRmixN2UTrVi+GldhogCCduNqfTBcYYLBYLJEmCStXz/bLGDNlt6FbG6XTCarVCEARERvqZBVy0QGbKVmatIEJiyndEZpcBLii/C6Vxh0AUlO8cmNYCSIbe33h8OdECJoQoLuehgQA35zBQHU4DnGordH2ujW8d8pA0HYBTC+D4i8wnRxbMkJnytj4ZStq5E0NTUxOsFit0eh1iY2Ph62ZCh9MAl4ZvPVU7DX1aN7uS1B2QXXxrgCyYIUPv9/WGhgbY7XaEhoYiLj4OwnGfTyeq4Hvvx+A5zug8xuheziqFQnI7uZaxK71khCj2bJ+2tjbodXqo1Row5qmza0ErmM2ouD6oLJBdfQtnrSBA8rM+OZ1OOJ18TwUREki1tbVwuVzIz8/H5ZdfDpPJ1GuZhoYG1NTUoLCwEGq1GhdccEE/LCkhAxdjDN999x0KCwsxfPhwLFiwYNCdUH/xxRc4cuQIxo0bh5tuusnHwwS+McYgy503rkVRDHq7bNmyBcnJyYiKiqIxUwk5Acp/Qk4e5b9/lP8Dz4C/mB7vvgEA8PHFM07xknT6+ufFMDMg68/n4Zlz7sJ/zf4v/OEP87yvO51O/PrDD8h3HQBjDPfMn40hQ4Z4X7fb7Xjy/T/j2QsArUaLi6/pfGqYMYZNmzbhn//8J/R6PZ685UmkpaV5NxJJknDppc8h9+YQaHU6LLruJu5lPnT3bGg0Goz4/QJFn1X15XJoRBEf33W9onLL17yHNlGF7Lsu4i7DGMOln90MBoarb9yjaOcw8bNXIQjAogU3K1rODRs2oLi4GokFcwEAw6+/odcy+u++Bux2pFX+gI/u/0jRcu7atQvr1q2DmbXCzMDVPtd8dSccDgfe2zoMn/39Nu6dLQAUFxfjk0824rk75/dYzqkr/w4APtejxYsXY92WD/HURxuh1Wq566utrcUrr3yBhx+6zme7VDzou51Xr16Nt99+HNu2fdTtrqckSXjiiSfQ1NSEuLg4PP/8890+f1tbG5Z88iT0Qy6AHsDHd17d6zJ+/fNitLrdeOyXvyLv1TxERUVxfz6bzYYlD76Lq0fsggDBu+2eyNSVf4csSahftg33vbEViYnHnhRnjGHLFgu+/PJLzDprFn53TTZE8VhPALfbjcP3zoJBb0BSlzZjjGHNmjXIy8uDVqvFI488ArX62K78yJEjcH+5EUajER/fdS3352tubsZ3q5eizRDSbd1kjOH7f+9EXl4e0mLScO9t93a7k97Q0IB53y9DSGgILr/+N+76GGMY/+lfodPpsOj3/Puzjo4OPD3tZtw+5Clo1Gqf2+3HH3/M/fcICRSn0wmHw+F9Ko33iZM5c+ZAEARv/l933XVBXlJCBjZZlpGTk4Ompia0t7dDlmVFxz+ng+zsbJSUlMBoNHIfS/aW/8Gg1WpRXl4OnU5HJ9OE+EH5T0hgUP77Rvk/MNGY6QEmSRL2798PlUqF6OhoGAx8T//KsozFixfjjjvuwCWXXILFixcHeUnJ6Waw3ZXtjSiKuPTSSzF79mxcdtll3S40Dxa7du2CRqNBfn4+7HY7d7l9+/ahpKQELS0tcLlcQVzCzvVu/PjxGDt2LOLj48+49ZAQXpT/JFjOtP0u5b9/lP+EDDyU/yRYzrT9LuW/f5T/A8/gWztPMYPBgLPPPhsNDQ3Yvn079wQkgiAgPDwcGzduxPr167lnASdnjjPtjqCnt8ahQ4eQm5s76D6/y+XCrFmz4HK5kJaWBr3e/3AwXQmCgEsvvRRXXHEFLrjgAuh0JzPoEJ/o6GikpKRg586dcDgcQa+PkNMR5T8JlsGWf72h/PeN8p+QgYnynwTLYMu/3lD++0b5PzDRxfQgsFqtqK2tRXJyMtddI1mWceDAATzxxBOYMGECLrvsMtx2221BvwMky7J37KXBtqMipzfGGBhjSExMRGFhIQwGw6C7I7p161Zs2LABNpsNNTU13jHQeuMZS661tbXfJi4pKirC119/DbVaPei62hESSJT/hJwcyn//KP8JGbgo/wk5OZT//lH+D0x0MT3AysvL0draitTUVISEhCAiws9Eol1IkoTXXnsNdXV1mDhxIsaMGdMvd3/27t2Lr7/+Gq+88gpaWlqCXh85OYMtTHrz448/YuvWrYiKioLb7T7VixNw55xzDoYNG4aIiAhERUUp+n7DwsKQk5OD3bt3KzoQdjqdaGpqQmtrK3c5xhhcLhdkWUZoaGi/hGlZWRmampqQk5NDd8LJaYPynwQL5f/gQvnvH+U/OR1R/pNgofwfXCj//Tsd858upgdYREQERo4cicTERMTGxqKuro5rpS0vL8d9992HhQsXYuHChVizZk1Ql7O2thY//fQTFi1ahKqqqqBPYEBO3pn29MCFF16ImJgYXHbZZairq+O+c3u6KCkpwebNm5GSkoJRo0YpCtOUlBSEh4d3m9C0N4wxLFu2DG+99RZWrVql6ACluroao0ePxqRJk4I+dp3VakVBQQH+8Ic/YNOmTWfcQSQ5fVH+k2Ch/Kf896D8J2TgofwnwUL5T/nvQfk/8NAeNMBMJhOamppQVlaGmpoaFBQU4KWXXup1IpLMzEy88MIL3nGTgh1uoaGhGDt2LBYsWAC9Xn/arLBKtLW1oaOjAwkJCQCCf2e3a5c5URQH5YQZ/UUQBKjVakybNg3l5eVYsGDBoGtPh8OBuLg4WCwWFBQUYNasWdBqtVxlDx48CKfTiZ07d+LKK6/kvlvMGENHRwesVquigzOz2QytVtsv47OVlZUhJycHSUlJsNlscLvd3O1CyKlE+T9wUP6fvij/T4zyn5CBh/J/4KD8P31R/p8Y5f/AM7jWzgEiIiICFosF4eHhSEhI6HUnoFar8cQTTyAsLAw6nQ46nS7oXSnCwsIgSRISEhLQ3t6OqqqqoNZ3KjQ2NuL+++/HY489hvLy8qDXZ7Va8fTTT+Oll17Crl27gl7fYMcYw9atW3Hw4EHs2bPnVC9OwJlMJuzfvx/l5eWKw23OnDmQZRnp6encQSMIAmbNmoXIyEjEx8dz72MEQUBGRgb279+P7du3B/0JgdGjR+Oiiy5CfX09ysrKBt0TCWRwo/wfGCj/T2+U//5R/hMyMFH+DwyU/6c3yn//KP8HHrqYHgTR0dGwWq3Izs7GHXfc0evKLggC4uLiuk0IYrPZgr6ckyZNwtatW6HVapGcnBz0+vpbbGwsJk+ejHHjxsFoNAa9PkmS0NHRgdTUVISHhwe9vsFOEARcfvnlMJlMGDVq1KlenIBLTEzEn/70JwwZMgRhYWGKnkb57rvvMGrUKERGRnKXYYzhl19+QXJyMnJyctDR0cFdzmw2w+VyQZKkoHc3FAQBDQ0NSE9PhyiKp82YaYQAlP8DBeX/6Y3y3z/Kf0IGJsr/gYHy//RG+e8f5f/AQxfTg+DQoUOQZRn5+fno6Ojg6l4kyzJeeeUV7NixA88++yxWrFgR9OWsra1Fa2sr9Ho92tvbg14fcGyW5v5QVlaGkpISlJWVYe/evUGvT6/XY9KkSSgsLERDQ0PQ6xvsZFnGunXrMHv2bHz77benzR1KXoIgIC0tDVOnTkVpaSmcTqei8rW1tdyB6DFixAhs27YNer2+166nXbW3tyM5ORmjR48Oene70tJSMMag1+uRlJSE0NDQoNZHSCBR/vtH+U94Uf6fGOU/IQMP5b9/lP+EF+X/iVH+Dyx0MT3AHA4HNBoN0tPTERUVhaioqF7LMMbQ2tqK0aNH45ZbboHFYsHcuXP7ZVkdDgf27NnTL3d/2tra8Oabb+I///kPLBZLUOuSJAlGoxExMTGoqalBRkZGUOsDAJvNhpycHOzduxdlZWVBr2+wEwQBqampWLlyJbKysgbdmGkAUFxcjOXLlyMmJgYajUZRWY1Go+jAtLm5GatXr4bBYIDdbofdbucu29HRgaioKERGRioae7DrTOC8y2oymZCQkIChQ4ciNjZ2UH7vZHCi/PeP8p8oQfl/YpT/hAwslP/+Uf4TJSj/T4zyf2A5PZbyNLJ7926sXLkSeXl5SElJ4VoRJEnCG2+8gaVLlyIxMRGHDx9Gbm4ud53l5eXYuHEj2tvbFW1ciYmJMBgMMBqNXKF/svbt24f9+/fj119/RVFREXc5p9OJ7du34+uvv0ZbWxtXmY6ODnz00Uew2WxQqVT9crCg0WiQkZGBYcOGKd4xnoz+vNvfXxhj2LhxI0RRxHXXXTfoPh/Q+RlLS0vR0NCA8vJy7s8oCAIuvvhiREREeCfX4WE0GpGdnY2RI0ciLS2N+46vIAgYO3YsiouLsWvXLkVPCBQUFODhhx/G8uXLucM7Ojoa5eXl2Lp1K3bs2IHm5mbu+gg5lSj//aP8Dw7K/9MT5b9vlP/kdEX57x/lf3BQ/p+eKP99O13zn/tiuiAIKkEQdgmCsProzyMFQcgVBKFYEITlgiBoj/5ed/Tn4qOvjwjOog9MVqsVFosFbrcbFouFa8VTqVR47rnn8Pzzz2P8+PEYP348ZsyYwV1nSEgINm/ejAULFuDvf/8710prt9vx888/Y+rUqTCZTKipqeGury8YYxg6dCji4+PhdDoxdOhQ7rLFxcV455138M033yAnJ4erTHh4OBYuXIiIiAi0trbCbDb3ddEVaWlpgcvlwpAhQwL+t4+/IyjLMrZs2YKlS5eioKBg0AVObm4uzjrrLGRnZ2Pnzp2DrpsXAERGRmLixIlQq9Xcn48xhi1btqC1tRVbt27l7h6m1Wpht9uxbds27Ny5k/vA1LOcw4YNQ0VFhaLvobi4GO3t7cjNzVVUX1JSEpKSkjBlypR+Ge+QnBjlPx/Kf98o/08e5T/lP0D5T/of5T8fyn/fKP9PHuU/5T9A+T9Q8Y94D9wPoBCA6ejPfwPwBmNsmSAI/wJwG4D/d/T/LYyxVEEQ5h993w0BXOYBbdKkSXjggQcAdN6p5LlDKQgCBEHAG2+8galTp6K5uRkffPABnnrqKa4uFQ0NDXA6nXjiiScQEhLCtVOtr6/H/v374XQ6YTAYEBMT0/uHOwkulwtvv/02amtrER4erijchg4diuTkZKSmpiIzM5OrjCAIaGtrw969e5GRkYHGxsa+Ljo3l8uF1tZWnH/++YruGPI6/nu12Wz47LPPYLfbUVVVhbFjxwa8zlPp3HPPxcsvvwwAuPrqq0+b7j68qqqqwBiDxWLBkCFDuCcgcblcyMrKwvbt2zFjxgxFT0GMHz8eNpsNUVFRCAsL4y7ncDhgsVhgsVjgdDqh0+m4ymVlZWH9+vUIDw9HY2Mj4uLiuPZpBoMBGo0GBw8eHHTf+2mK8p8D5b9vlP8nj/J/cOUA5b9/lP8DDuU/B8p/3yj/Tx7l/+DKAcp//07H/Of69gRBSARwGYBFAB4SOlvjfAA3Hn3LYgDPojNMrzr6bwBYCeBtQRAENthum/lhMBiQmpqK0NBQaDQa7hWBMQZBEKDRaCDLsqIViDGG8vJy7NmzB9deey3XxAKSJMFiscDlcvXLyioIAiIjIyHLMrRaraLJFpxOJ6qqqhATE6NonKeEhATMmjULoigiPT29L4utiKdN1Wp1v7SpXq/HWWedBUEQghLep5IgCJg+fTomT54Mxhi0Wq2isbpOB+vWrcPQoUMxffp05OTkwOFwICQkpNdyGzduxMqVK2E0GhV3X6yrq0NNTQ00Gg13e3pm854zZw6Sk5MV3SnOz8/H8OHDcejQIXz88cdYtGgR9Hp9r+VCQkIwfPhw1NXVwWw2c7ULCQ7Kf36U/75R/gce5f/pjfLfP8r/gYPynx/lv2+U/4FH+X96o/z373TMf94t/k0A/wPA83x/NIBWxpj76M+VADxbcwKACgA4+nrb0fd3IwjCnYIg/CYIwm+Daebj0tJS3HLLLVi4cCGeeuop7juwoiji0Ucfxb59+2Cz2XDnnXdyr+wdHR1wOp3YvXs398QeSUlJuO+++6BSqbx3gXgxxuB2u+FwOLi7FqlUKsyePRtqtRoTJ05EcnIyd31WqxVutxu7d+9GS0sLd7ny8nKYzWZMnjy5X7qK6PV6xMTEYOPGjYrGwOJ1/PrgdruRn5+Pzz//HKWlpQGtayAQBAFarRayLGP37t2Drhtbeno6fvjhBxQUFECn00Gr1XKVi4uLQ1ZWFu655x7FBxmNjY2IjY3F8OHDFZVrb2/Hxx9/jM8++wxut7v3AkclJSWhsrIS0dHRSE9Ph0ql6rWM2WxGbW0t7HY7zj33XERGRnLXR4KC8p8T5b9vlP8nj/Kf8h+g/Cf9jvKfE+W/b5T/J4/yn/IfoPwfqHq9mC4IwuUA6hljOwJZMWPsPcbYFMbYlGCML3WqpKWl4dlnn0VMTAySk5O5u0MA8A64/+uvv6KwsJC7u1ZeXh5iYmIQERGB6Ogexy0+qVQqHD58GDNnzoTBYEBlZSX3cpaXl+PFF1/EXXfdhcOHD3OVEUURWq0Wzc3NKCsr4y4HAEOGDMHIkSO9d6t4RUZGoqKiAl988UW/TWLgcDhgs9mwePFiFBYWBvRvH78+MMZgMpmQkpLSLxOs9DfGGCRJQnV1NQoKCk714gTc9OnTce+99+KSSy7Bk08+yRU0AJCXl4ezzjoLqampKCkp4f7uBUHAuHHj0NLSgtLSUu6xz44cOYIdO3YgMTERYWFhip66MBqNYIxh4sSJuOmmm7i6slVUVGDdunXYvn07Dhw4AEmSuOsjgUX5rwzlv2+U/yeP8n9wofz3jfJ/4KD8V4by3zfK/5NH+T+4UP77drrmP0+rnA3gSkEQygAsQ2f3rr8DiBAEwdMyiQCqjv67CsBwADj6ejiApgAu84AmiiLKyspw1llnoaamBtXV1VzlZFnGTz/9hH/+8594+umnsXr1aq5ygiBAp9MhKysLmZmZirpupKSkoKKiAiqVCiNHjuQqB3Te3dqzZw/i4+PR1MT/1Y4aNco7dlJiYiJ3uYqKCrS3t+P8889X1N1Dp9NBrVYjKyuLu8zJcDqdUKlUmDJlCvR6PWpra4Nan1qt9o5BlZKSEvRuUJIkITc3F06nM+iTgTDGsGnTJjz44IO45557uA8ST7ZOWZb77Q64KIpIS0vDtGnTFAXGrFmz8O9//xsPPfQQJk2axH3ALssy8vLyMGTIEGRkZHCH4ubNm2E0GmEymVBfX6+oi2ZhYSGsVivy8vLQ1tbGtY6OHj0aM2fOhEqlQlhYmKKunSTgKP8VoPz3j/I/sCj/A18n5X9PlP9nNMp/BSj//aP8DyzK/8DXSfnfE+U/n15bkzH2OGMskTE2AsB8AOsZY38AsAHAdUffdguAVUf//e3Rn3H09fVnynhpHlOmTEFubi5CQkIQHx/PVUYURWRmZuKZZ57BX//6V0yaNImrnCRJaG5uxp49e5CXl8e94lVWVuLDDz/E7bffjtraWkUz7WZkZGD27NmYOXMmxowZw13O4XAgMjISdrtd0Z1UQRBQU1ODmpoaRRtyU1MTrFYr9uzZo+jOe1/p9XrMmDEDI0aMwCOPPIJp06YFtT6n04l9+/bhvPPOU3QwdDI+//xz3HPPPfjyyy+DHjrt7e1obm6GSqXqt64+X331FZYtW4YjR44o6s7UF57ukhaLBT/88AP3AUpGRgbeeustvPXWW/jjH//IHYp5eXnYtGkTduzYgW3btnEHeExMDAoLC5Gfnw+bzaboznRqaiqmTZuGyy+/HLGxsdzlDAYD2tracPjw4UE3Vt7phPJfOcp/3yj/A4vyP/Ao/3ui/D9zUf4rR/nvG+V/YFH+Bx7lf0+U/3z4po/17VEAywRBeBHALgAfHv39hwCWCIJQDKAZnQF8RklOTsbf/vY3RZOPdHR04Nprr0V2djYaGhpw1VVXca1E8fHxOOecc/Drr79CrVZzh1RrayvCw8PR2toKo9GItrY27pW9qKgIBQUFsNvtiI+P5w4NvV6PtLQ0mM1m1NfXc0+aodPp4Ha7UVhYiIsuuoirjCRJKCgoQHx8PC655JKgB5unztWrV8NkMsFkMmHUqFFBr7OlpQWNjY2w2WxBr0sQBEyYMAFbtmxBRERE0Ou6/PLLMW/ePBQVFaG/xlVMSkrCO++8g1WrVuHiiy/GLbfcErSdeWFhoTfcYmJicMMNN3CV84wl53a7sWvXLmRnZ3PtayZNmoQnnngCS5YswciRI7lnD7/oooswb948b91KwrSyshIbNmxARUUFpk2bhtDQ0F7LHD58GI2NjUhPT0dsbCzXhCWk31H++0H57xvlf+BR/gcW5X9PlP/EB8p/Pyj/faP8DzzK/8Ci/O+J8p+PoovpjLGNADYe/XcJgB57KMaYHcD1AVi209b27dthtVqRnp6O+Pj4XsdCkmUZjz/+OMrKymCz2aDT6WAwGHDttdf2WhdjDHq9HtnZ2Th06BD33abMzEzs2bMHn3zyCSZOnKhoxz9y5EgYjUZUVlYqmkjE5XLh4MGDiIyMxIgRI7jLmUwmxMXFoaamhjs0GhoasHbtWkRHR2PUqFGKJljpK51Oh+nTp0OtVvdLtyRPN5jc3FwMHToUEydODGp9brcbxcXFuOWWW7BhwwbMnTs3qPUJggC1Wo2UlBSkpaUFtS4AqK6uxrZt2zBnzhxMmzYNcXFxQa0vNzcXo0ePRlZWFlauXAm73c4VNrW1taisrIQkSThy5Aj3965Wq7F161bMnTsXGzZsQFtbG6Kionot53kyJD8/HyaTydsFqzdtbW04cOAApk6dCq1Wyz3BitFohMViwfDhwxESEsI9lhwJLsp/PpT/vlH+Bxblf2BR/vtG+U8Ayn9elP++Uf4HFuV/YFH++0b5z4f/FgPhJooi3nvvPbzzzjtcO39ZluFwOPDUU09h+PDhuOOOO3Dw4EGuuiwWC9atW4dbb70VKSkp4J3MRaPR4MYbb8Tzzz+Pq6++WtHdt+rqakiShFGjRikao62kpMR7kKFkA6mrq4MgCIiKilI0kUhLSwuKiorwwgsvoKysjLtcX7W3t6OwsBA1NTXIyckJen2iKCIhIQH19fVoaWkJarcrz3hiM2fOxHfffYfLLrssaHV5yLKMd955B/Pnz8frr78e9PoOHjyItrY2VFVVYe/evYiJiQlqF6Np06Zh6dKlWLJkCRISErjvwHq29xdeeAFVVVW9FzhKkiRMmjQJX3/9NRITE2EymbjLrlq1Cq2trdx3swHgt99+Q21tLerq6lBXVwez2cxV7sCBA9i8eTN27tyJHTt29MtTF4QECuV/T5T/gUf5H1iU//5R/hPCh/K/J8r/wKP8DyzKf/8o/3t3MsO8ED9sNhu0Wi3i4uLgcDhgNBp7LVNXV4fHHnsMFRUVKCoq4rorDQClpaUICQlBQkICTCYTSkpKMG7cOK6y+fn5KC4uxqFDh3DXXXdx3aUCOnesLpdL0Y6mrq4OS5YsQWtrK+x2O2bOnMm1MbvdbgiCgHPOOQc1NTXcY7TFxsZiyZIl3oBRMqt6XzDGIIoipk2bhry8PNx0001BrQ/ovNPf3t6OESNGoKWlJej1LV68GDt37gQAlJSUYPLkyUGv02q1IjMzEzabDYyxoIZbR0cHqqqqwBhDRERE0OsbM2YMXn75ZVitVgwZMoT7AHPu3LlgjGH9+vVobGzkrm/Hjh3497//DcYYCgsL4XQ6ucJREATExsZi7dq1KC0txZQpU7iWVa1We2e0j4iI4O4e1tbWhpaWFoiiCIfDEfTJbggJJMr/nij/A4/yP7Ao/32j/CeEH+V/T5T/gUf5H1iU/75R/vOhi+lBIAgCbDYbCgsLuVYEtVqN1157DRaLxfu7YcOGcdWVlJSE4uJiPPDAAzAYDNzdrmpqavCf//wHy5Ytw9lnn819x8lut8PtdmPy5MkQRZF7BxAbG4vHH38cGzduhMFg4O7yYbPZsHr1algsFpSVlWH8+PE477zzei0niiJsNhvy8/ORnZ0Ng8HAVV9fybKMF154ATU1NQgPD8f+/fuRmpoa0DqO37E3NjYiOTkZsiwjJiYmoHX5q78/J4MQBAEZGRno6OhAUlJS0Ou+7LLLIMsytm/frmiim76qra3FkSNHAADNzc0YM2YMV+D88MMP+Ne//oVRo0Ypmphl6tSpmDx5MoqKivDmm28qmkE8PDwcWVlZmDVrFtxuN9Rqda/fx9lnn+2dSEkURYSEhHDVNXv2bAwfPhyMMeh0Oq6TEUIGCsr/nij/Tx7lP+U/QPlPyEBG+d8T5f/Jo/yn/Aco/wcqupgeBCNHjsSwYcMwbNgwrruvgiAgPT29T3WZTCbv3S0lIRUWFoZp06YhKioKBoOBO0zNZjNyc3NRXl4OlUrFvdMRRRFVVVVobW1FTU0NSkpKuO6Eh4WF4ZFHHoHVasUzzzzDPTs6AGi1WuzevRuvv/46ZsyYgb/85S+KurYo4XK5UF1dDb1ejxEjRijqjsbr+G5cnqcYEhISkJ2dHfD6jnfDDTdgypQpWL9+vaLZ2PtKlmXk5uaioaHB280smONniaKIpKQkuFwu72zXSibbUKq2thZbtmxBvoShZwAAIABJREFUfX09xo4di9GjR3OVu/HGG3HNNdcA6DwQ511GURQhiiJGjRqFv/3tb4pCatiwYfjmm2+wY8cOTJo0CQ888ECv34VarYbT6cT27duh1WpxzjnncO2fQkNDkZKS0m2ZCTldUP73RPl/8ij/Kf8Byn9CBjLK/54o/08e5T/lP0D5P1DRxfQAczqd+M9//oNx48bh8OHDqK+vx/Dhw09YhjGGsrIyWK1W7+9iY2O5xj8TBAFOpxO7d++GKIqYOnUq111Yo9EIu92OsLAwlJaWorKykjvQKysrsWPHDkyZMoXr/UDnZ4yPj4fZbIbZbEZWVhZ3WQAwGAxYtGgR90QijDG0traitbUV9957L2JiYuB2uxXVqYRGo8FNN93k7W4V7NnDGWM4ePAgsrOzsW7dOsXt2Rf/+Mc/sHXrVoSGhuKNN94I+p1iURRx4YUXorGxUVE3oZPR2NiI6upqzJ07V9H4YH0xceJEFBQU4MiRI2hra4MkSVwHC3q9HhUVFThy5AgEQcDo0aMxdOhQru/jyJEjOHToEARBQEpKCpKTk3stV1VVhU2bNiErKwsTJkzA2LFjub+LNWvWoKSkBOnp6dxj+pWUlODtt9+Gw+GAIAh49dVXT5u70+TMRvnvG+V/YFH+Bwflf0+U/4Twofz3jfI/sCj/g4PyvyfKfz50MT3Ajhw5gp07d3pn5g0PD++1jCRJWL58OYqLi72/u/rqq7knedi2bRt27NiB7Oxs7hVWlmWkpKTgjTfeQHR0NIYOHcpVzmQy4aabboLFYsGf/vQn7nHWqqur8d5778FutwPo3GB4A6C9vR3Lli0DAFxxxRVcy9rR0YHFixejoqIC33zzDR566CHuZe0LlUqFiy++2DvOlpIuNLy67vRkWcbBgwdhNBoxf/587N27F5dffnnA6+zqxhtvRHh4ODZu3Ijc3FzFE9coxRjD1q1bcfDgQSQlJWHevHlBD/D8/Hyce+65WLVqFebOnRv0WeC1Wi1qamoUhQVjDN999x1UKhVyc3Mxfvx4PProo1zlPOOs7d27F0lJSXj22Wd7PWiwWCzQaDSorKxEaWkpZsyYwf09qFQqVFRUICoqinvss7S0NJxzzjkoKSlBTU0N97iThJxqlP++Uf6fPMp/yn+A8p+QgYry3zfK/5NH+U/5D1D+D1Snx/Pzp5HU1FRcd911kGUZOp2Oa6UTBAEjRoxAVlaW9z/eWbkBICoqCnv37sUPP/zQ7e72iZSVlWH16tVwuVywWCzcd207Ojrw5ZdfQq/XY9myZdwTX0iSBJvNBr1ej/j4eEVhU11djZqaGmRlZXGPuxQWFoYrr7wSCQkJSElJQXV1NXd9fWWz2fDuu+/itddew6+//hrwv9/1QEkURcydOxcREREIDQ0N+uzagiBg1KhRuPfee/Hpp5/inHPOCWp9ns9qMBiQnp7OfbB3suLi4vDBBx8gJiYm6HfCc3Nz0dLSgvDwcEUTkACdYyWWlZUhLS0NCQkJ3OUSExNRXV2NxMRE7nHo0tLSEBkZCYfDgX379sHlcnHX5/lMnglkeNTW1iIiIgLV1dVITk5GWFgYd32EnEqU/75R/p88yv/go/zvifKfED6U/75R/p88yv/go/zvifKfDz2ZHmCCIKCjowNxcXEYN24c92y5nvBsamqCSqVSdCcmJiYGERERsFgs3CE1YsQITJ8+HZGRkZgwYQJCQ0O5ykVHR+OJJ56ALMtgjHHvABITE7Fw4UJERESgvb0daWlpXOWAzoOFlpYWfPHFF4iPj+e62+/pxqLT6VBfX889C3hfud1uLF26FD///DMaGhowZ86coNYnCALOP/98nHfeeZBlGaIoBv2uLWPM23UxLS0t6PV9//33kCQJtbW1SExMDHp9O3fuhCiKMJvN0Ol0QQ/TrmOkxcXFcZfLzc1Fe3s7dDodkpKSMH/+fK62KSgo8I7rN3ToUNx8883cn9HhcCA6Ohp1dXWKZteeOnUqCgsL4XA4FD0109zcjPT0dO4JlQgZCCj/faP8DyzK/8Cj/PeP8p+Q3lH++0b5H1iU/4FH+e8f5X/v6Mn0IDCbzTAajYiKiuJaWUVRxPnnnw+LxYKVK1dixYoVqKqq4l75Dhw4AEEQwBhDR0cHVxlBEKDRaHDgwAF88803aG1t5SoHdHbR+stf/oKHH36Y+46vLMsYMmQI1Go1oqOjuT8bAFitVtjtdgwdOpR7ghXPcra0tHhnFA4mURRxwQUXYMaMGbjzzjv7ZXwvl8uFZ599Fvfddx/Wrl0b9Prcbjc++OADrF+/HkuXLlX0HfZFSEgI9Ho9Ro0apShs+ionJwc2mw2zZs1CSUlJ0Gf0NplM2Lx5MyIiIrjHPAOA9PR0xMfHo66uDhUVFdzrWlJSEkaMGIH6+nqUlZUB6DlDvD/JycnIyMjAvffey/10CNDZBbWsrAwVFRXeLp69SUhIwNixY1FaWoqtW7cqCm9CTjXK/54o/wOP8j+wKP/9o/wnhA/lf0+U/4FH+R9YlP/+Uf73ji6mB0Fqairq6+uxdetW7i4Rsixj8+bNeP/99/H888/jp59+4ipnNpthMpmQmpqK6OhoREdHc5Wz2Wx47733UFFRgZqaGu4VHejs6mUwGDB9+nTuDauxsREvv/wyFi1ahJdffhmNjY1c5SwWC5YtWwa73a74bmFoaCiqq6uRk5PDfZDRV6IoIjIyEk1NTYiMjMT27duDWh/Quc40NTVh+vTpSExMDHp9KpUKGRkZKCwsRFJSUtDri4+PhyAIqKio6Jcd6qxZs3Do0CFkZmZi4sSJig7c+mrIkCH44YcfsG7dOu7PGBkZiYKCAoSEhKCjo4P7aRSTyYSioiJotVo4nU5F3bWqq6uxbNkyfPzxx9zlXC4XRowYgQkTJiAkJERRe7a0tEClUmHKlClBncGdkECj/O+J8j/wKP8Di/LfP8p/QvhQ/vdE+R94lP+BRfnvH+V/72iYlyAICwtDYmIiSkpKuMciE0UREydOxH//93/DarVi4cKFXOWsVisOHDgAm82G1NRU7hXPYDDgoYcewieffAIAirqVeYI3NDRUUbjJsuz9j5dGo8G8efNgMpngdDoV3RWLjIxEZmYm6urqgjIhyPHCw8ORkZGBtWvXcn9/J0OSJFitVoSGhvbLjh/oXE8TEhKCftdWEARkZmZixYoVCA8Px969e3HJJZcEtatXdnY2srOzuy1DsEVERKCtrQ319fWKyo0dOxbDhw+Hw+FQFDajR4+GyWRCS0sLdDqdouW02Wyoq6vjfiKhoqICy5cvh81mU7zdS5KE4uJiNDQ0YN68eUGfCIaQQKH8943yP7Ao/wOL8v/Ey0n5T0jvKP99o/wPLMr/wKL8P/FyUv6fGD2ZHgSSJMHhcMDpdMJisfT6fs9YVEajEXfffTc+/PBDXHXVVVwbc2xsLNLS0lBUVIS2tjbuFVYQBBw+fBgtLS1oampCe3s7VznGGGJjYyEIArZt28Y94UnXMcw0Gg33jkqr1cJkMqG6uhpmsxn5+flc5YDOSVaqqqrgcrnQ0NDAXa6vrFYrtm7dikOHDqGgoCCodTHGoFarkZaWhm3btqGysjKo9XmkpqYiOzsbhw4dCmo9jDG43W6MHj0aRUVF/TJm2i+//IJFixZh0aJFWL58edC7sQFAZWUl0tPTIUkS94E3ABQVFXnHeFPSLqWlpfj1118Vl6uoqEBaWhoYY9x3pkeOHInzzjsPw4YNQ0hIiKIDsJqaGowcORJA53hthJwuKP9910f5HziU/4FH+e8f5T8hfCj/fddH+R84lP+BR/nvH+V/7+jJ9ACrra3Fpk2bYLPZkJmZiaioqF7LSJKEp556ClFRUVi+fDm++eYb7rtNbrcbTU1NmDVrFhwOB/fdJkmSoNFoMH78eAiCgJiYGK5yDQ0NWLNmDVwuFyRJ4g7vsLAwmEwmjB49GmazmXvCE8YYTCYTOjo60NzczD3LOWMM4eHhOPvss7F58+agd0vy7Hg9s04r6ULT1/pWrFgBu90Oq9Ua9DvFQGeXwrKyMuTk5GD+/PlBr++1117DqlWrkJSUpKgbYl+NGTMGYWFhKCwsRH19PRhjQQ1wu90OtVoNh8OBiy66iHvbbW1tRWxsLDIzM2GxWLiX0Wq1QqVS4Xe/+x3Ky8u5nyqxWCwwmUy48sorsXfvXkVPh1xwwQUwm80oLi7mLufZdhwOB+bMmYOIiAju+gg5lSj/faP8D3x9lP+BRfnvG+U/IXwo/32j/A98fZT/gUX57xvlPx96Mj3A1Go1jEYj9u3bh7a2Nq4VnTEGo9GIRx55BFqtFk1NTdw7j+LiYnz11VfYsmULysrKuMciKy4uxrJly7Bv3z7ceuut3N28BEFAZWUlRFGEXq/nmq0cAOrr6/Hzzz/jl19+QU1NDWpqarjKmc1mfPjhh947sSaTiatcS0sL3n77bezbtw96vT7od24lScInn3yC9vZ2qFQqpKamBryO49eljo4OtLe3Q61Ww2AwBPVOKmMM//rXv9DS0gJZlpGbmxu0ujwWLFiAW2+9FSqVCmazOej15eXl4a9//SuWLVuGrKysfpmt3GKx4JprrsGWLVu4uyJ+//33iI6OxllnnYXNmzdz37ndtGkTBEHAtGnTsGvXLu42Xb9+PRhjmDBhAoqKirietgE6J0a6/fbbsWrVKkRERHAfLOTl5SE/Px8LFizArl27+uVAipBAoPz3jfL/5FH+Bxflv2+U/4Twofz3jfL/5FH+Bxflv2+U/3zoyfQAa2pqwocffogxY8YgNTW11x2c5/W2tjbceOONaGxsxA033ICFCxfi5ptv7vG+43/2jGMkyzKcTidkWfZTJ+v2+7a2NrS0tKCmpgavvvoq7rvvPr9B1bVceHg4Fi5cCKvVin/84x8oLi5GbGzscTX1LGe3273LKUkSJEnq+Zlw7GfPawaDAX/84x9ht9vx3nvvIT8/HwkJCb0up6fbjCRJSE1NhdPp5P4ueHV9vyiK+N3vfgeHw4Fvv/0WW7duxbRp007495XUxxjz/gd0BuvVV18Nu93uPUiZM2eO3zr81cXbJp7uPUVFRZg7dy4KCwsV1+Wvzq6fq+try5Ytw6pVq5CWlua949/19a7leOo99kbf5ZOTk5GSkoL8/HzU1NQEfH05vkxDQwOKiorQ3t6O5ubmHtuuv39HRUVhw4YNOHjwIEJDQ6FSqbjKRUZG4scff0RLSwtEUYRGo+FaL6KiorBy5UrU19dDrVZDrVZzlYuMjMT48eOxZ88e77iF/p646VquubkZpaWlWLt2LRoaGuB2u33Xx3qWPdHf7Y9ue+TMpiT/j89j3vzv+m/+/O9ZX7Dy31c5nvz3VbY/8r+v+wWl+R+I+pTmfyDq9Py/t/zva13+1u3e8r+vdfqrT0n+B6K+XvO/SxnKf9/539fvgZBgGLjn/33N/+77Hr7873ku1x/537Ucnf93r6OvWTYoz//9lFd6/t/XOj24z/+Py7kzN//9rzc8gp3/wkA4wJgyZQr77bfffL52w7tbAQDL75rRn4vk19ePLAYAXLZoAWbPno2JEydi+vTp3tdbW1u943pptVpMnjy52+D5LpcLL774Il57IQyCKODrHycA6Ay3rmMmhYSEwGAweH9mjGHDhg0IX5QNUaVC9n86g8/hcKCiogKMMYiiiKSkpB6D9T+hPxeiKOJF63rv7+x2OyoqKgB0BkFycnKPu8yFQy/qnAii+sce7WCz2bBlyxbMnj27xx2nC8OmQxAErG3f6v2d0+lEeXk5GOvsOpOUlNRj0owr5+0EAHz706Qe9TmdTmzcuBGzZs3q0V1k59xWAMCkdce6gzDGUFhYiJCQEFitVqSlpfVol7q6OnR0dGDxhLsAAC9Yfu5R7/EOJFwCSZLQ+tWzmDlzZo/XGWP45ZdfMHbs2B5d5zwHLw/PuAMAsKYtp9f6rr54D2RZxgOPt+Lcc8/1ebc0JycHI0eOxLBhw7r93mw24/Dhw5gwYUKPMrsu7Bwjz7MedVVSUoJDhw5h3rx53boCNTQ0oKKiAjExMTAYDD263Nntduzfvx+TJvX8/gDg6dALAPRs56qqKuzatQsXX3xxt3Xw0KFD3icY4uLikJGR0a2cy+XC7t27Yfrd/wIAMqrW+Ky3q0vCz4bMZNyz5DFccsklPdZBxhiam5tRWVnp7QLpIUkSduzYgf/738713bPtnsiuC9vBGMORe9bjoosu6rbutra2esfy0+v1PcaFY4zhCf15UKlUeNF6rM3cbjf279+Pjo4OZGVl9egGZbFYUDryKqjV6m7brizLKCoqQlNTEzIzM3t8f06nE5dGzIJKreq27cqyjMLCQrS0tGD06NGIjo7uVs7hcODaSwugVqvwzdqJPdrAYrGgqKgI48aN69Hev13QApUoIvuncO/vzGaz93tXq9VITk7uth663W6sWbMG237/BkRR8Lndeg64q6qqun2OdevW4eWXX8att97aowwPQRB2MMam9Kkw8elE+T9QOZ1OzHj/fjh1NRBDjq2bjDHI3idMBKjUPQ8eF+Vfi6HMCGNrc7dyXY/EBAg4flf/+ohWlDpMaLHpu/2+a1drX103J6tbMcQegUz7sXFRGZi3nOAt173CYRNyAVMFmt2+J0dyu90+n0x725IKi6oDFm2XnGYMsveAWIAoCDj+A/5t/w092qVLcW99vO0iyRIECGBgUIk9vwdf7cJj2IRcMFMFWvy2iwSVqueYlD7bhcOJ2sVTnyiKEMXu9flrl94ca5c2dF0nZCaDyTIEQQQEQBS6r2u9tYs/TGZ4x5bWo21kWQKTj108EI87EeutXfyRZYY3R7WhzGFCs4+2Yaxz2zj+xM9fu/SGMYaEidt7bEuMAYx5tkEBguhnfdGEdK+OHW0bxiCqVD2PCRnD3wrn99zHAJAlGYzJEEVVj/WFMeCNkf63JcY6tyNfx6An2pY621PqXFaefQzrXNc8fO3T+rQtMSDZXYcEtw7v37WJv1wXlP+Bd6L837HzRgDA5Emf9eci9crpdGL27Nkw3xMHlVqFB51XAuA////xwv+FKIreY1fe8/+hf/gbRFH0nuvwnP9faJwOURTxY/uv3t/xnP9fdeEuCILg85j+ROf/O+a2QIDQ7Xyc5/z/cd25AID/c2zsUd+Jzv+PHDkC64w7IQrH2kXJ+f99k28BwH8+LkkyHnvO1ufzf8cDiQB8n3sf7+nQCyBJMuat+d+Anv8DndcygJ7nzcE6/78k/GwAPdv5ZM//X3q6cz3iPx+XUXHvL30+/58yZQqeCZsHgO+aUdGwi+F2uzGq7FvF5/8Xhk2HWqXCmrZj2y7P+f8NVxZCo9bg67XH2oTn/H/PRR1QqVWY9FNEt3K9nf8/EzYPKrUai7pcY+y6PP7O//fHXwhRJSKz6th1Cn/n/08mdLbBc0emYc2aNZgyZYr3JguPYJ//05PpfaRWqzFlyhRMnjy5205s2LBhGDNmjN9ysiwjMzMDoqrmaKhoj54cDgFj3c8vu/4sywx6fecJmic0PRteenp6tzo8geUh1AsQhM7A7PpaRkZGj/d2/bnIJUAQBCQnJ/v8uxkZGT7Lii3H6uv6Wlpamt9l7Px5FwB0+2xd3+spf3zZXUIbAPT4fCNGjDjh5wM6Zwv3BIa/erv++5AsQpZlhIaGet9//N9MTk7uUQ4AdDod7Ha79yTm+OXtetfZQxT3gjEGg8HQ7e92/dtd27nra62trWhsbPSOF9e17B5xn3cZjl/OtrY2lJeXIykpyXvX01PPlClTfLYL0LkTrKio6NaOXV8XmkUIPj630+mEVqvtdiDIGPO73nl+ttvtOHz4sPf7O/7v+iortguALEKtViMxMRF6vb7HAcqIESMwadKkHmXdbjcOHDgAUZS6td2JlnGPuA/s6Il5QkKC9+kPns8nyzKEBsF7sNv1tZSUlB5lPf9ua2tDKeCznGdSD1912u12wNJ5keT4z+Yp56us1WqFgIIe5bq+17NPPH55dwit3uXs+lpWVlaPejycTmfnJEai4LMsAO+FkK6fX5ZlRTOYE+KPWq2GU2aQZQZ114uKAnxeuO1KK4VCEHQQReHopeXOgsf+3anrzwwMTGuGIOkhit1PJnsb+5CJNsiC8biLZwJUvZTTiWq4RZXfv3/8gbGHxRUCF2zdyzFA9Pfhjv7saRdBFHu0gwhApdL6LhrQduld7+3i+/f+2qXLl9zpuMU5UbsIfupj8N8uvTnWLt3/rggVcIKxfHtrF39kyD3bhgGi+ti/fX1wX+1yom3I87MIGUxrBk7QNr6eoPLXLr1+PnaitvH/t7xtouty4+noxiCqfLTN0X8zxrrsY8SuxbzbvM92Yn3blhhjvWxLAlQq3+X9tYvYywikvtaXXr94ATBIdkRIwR9fmASG+svLYJBCUf/d0lO9KMdhWH7ubXipuh2l9nB8aPGsbJFA9Bzvu/YdPL6cFnFXPYnXw9wY4ohAclTnhVwM773GPy74Iy5NXQGEl0NKr/bzrtYev1nkMsOi6kCI1H188xAc28brUNejXGjR44iXjXhpuJ+hY9Iv8fnrRTVtKHWE4/CQ7vsCIeHYJlnho9ybIUfbRPMnn383LeUun78fPkzCRSmf92yX8wHAdvSHnhOXep4E/qu81mf7+GLY/yjiZSN+uqamx8V5r5vO8/lrlsggZ8n4a5XZZ/v48mqIE0McEfjD/A+g8XO8lTzfd3sxxpCRJvkdiuf2EZ/6XJek2RKk/8/em8dJVZ35/+97q25tvdJN0wt7N4RFVpFFRVwQVDAoECMuGUkmRqMmxu/ERKMJo46OjvFnNJlEzSSOuLC4K+4EUURlUNCAitIs3Q1N73vXdpfz+6OospWq7nuKQjG5n7yIUF2ffs597jnnc59zz3keMxePZ2uKVsWLuVZ/2SDGHBO3+/2krFT90LRMxi4cS52n7gsvWwMzA1RQkfj3fvZ/gSeEoOikIvwfX957P+3Zhv2xvun/l/nUpPAnAyB7NOxO8qO8M05hj9uduC9DC5L7vififjbG7u8ldUwHcOgmhFv17qQ+KzylkEIK6T74v54QQpC788bkPhl6WuqGCri1IfnY9RXPppTY7HLoDAP3BAyKIlkMLUzuj7Gjk5tM1Qe/iNiGgL2BXIz2LAZbg9E0jQEDBvS5htLz30c6/ncW09OEqqoUFhYyc+bMLywS9wUhBBs2rMfnfQ1VVbnttitt8UzTYsuWHdRpGh6vl9tuu822zZ0/Xo6madx66622OQDrbliFqqrceoscb9XVD6CqLil7QgieeewFBIJbb71VKl/VC48tRlGQvr7XX3+dyspKfB/HduHY8elbNz1NOBxm7KRJ0u3cunUra9euxdcQ23Fgp70vP/U3IpEIo0YN5ZZbbrFdmAZiefGWL1/OTTfddEg7X31iSco2PPTQQzQ3N3PzzTenXDBJhrq6Ou68886Ufqm5ZlVSm2vWrOGTTz5h2bJltgvTQGzR/4YbbmCbL3b/bl3Wtz+fvvYhDNOgoKAgUfTHLkKhEO3t7fh8W1FQbN2/V59YgmWa5OXl8ctf/pJBgwbZtmcYBruuegSfzyfVt6uqqth473q8Xi+33mSf19LSwvO/ehSPxyNlr7GxkddfeAWPV44nhOD5R86NtVOC19nZyZo1a/B4PGhud1Lugw8+CMD3v/+5uOu6zoYNG2zbceAgFVRVJVB7MsXFxTz3o14eUL8EIQQr376fTo+bxX+abJtnmhZzH/stmtvDORekCnKSY8IjC9E0N7ee/7gUb9eVD6OqKrN+f5EU779uWIWmqmy85TzbHCEEK35yP00ILvjj5VK6evaqY1FQ+Pb5yYO4VJi88jtYlsWtFz4lxfvsxw8hLIuT7lsq1c67fvMEqmGw9Ta54l0r/+8BGgydC/5wuZT+n/PEVPSozjkXbJVq56THFhGJRll24VNS+l919UoikQgn/elfpOytWbMG44MWcnNyeGPZQtu8pz74X5pCYc7/w6VSftm4cSOnV95JTnYOZy22n/t16uPnEwqFWbbkcSm/bN++HeVuN9nZpzPrHvv3/nc3PQ2hEG/9+hyp56KqqirWv/UcndlZLP7TD2zzWlpaOP352M7Ps8+zf1KosbGRk56/hEAgi1uX2J9jhBDs/LEfr9cr5ZfOzk5uuelpAn6/1Byj6zrb/m0IZaVlfX/ZwVGBqJGDJjyAvTy9Xx1iG80sLYhiBNA0f98UgIMnrBS1DRQ/fp/dxR2BaVp4VBem4kLz2T9t1BUKoCthCnxyL401IxsFL74sm9d2EJbnAJgB/H57+c0BEKCodQd9IneSKqpH0/KLYRhYlkVXt33/xH3icrnw+XzInFAyTSNm0xNEsemfuE9U1SXtF9My0aP6wXYeilQ+i+pRRESk5KWCEAIi4ZS8VP1Q13Us04ptbJM88RUOh6X6abxvKoqCz+s95DRY7/ZiawA+n0+qr8b97PZ5Y6f6JJDO2LUsK62xK4SF5QlKj13LEj3mM7k+IzNug243UW+A3/zmN6xZs4alS5dyxhln2LZ1pOP/b8xient7O4FAIFFZVnZ3yFcBIQShUAiv15uodK1pGpFIBJ/P12ubTdMiLpiWJdA0N5FIFL/f22tgkthRSmw3ja7r+P3+vndlHeSpqpqoKNxXG3ty4/nIDMPA4/H0GVyYppnYxR2JRPD7/Ylj5r0FQvG3x9FoFNM08Xq96LqO1+vtlRcv5qCqauJ4uGnGj0Nntu/Er0lRFDRNIxyOCUo4HMbj8dgu0iJjL54DTlVVotFoIo+Vy+WK7drNcPEMXdfRdT3Rn3v6Ptnu7sOFYRhEo1F8Ph+RSARN07AsK/F2MdP2TNNM3K9IJIKqqvj9fgzDSL0D4TBgWVZCmKPRaOK+fZ7KIPX1GYZBOBzG5XLhdrsxDOOI3ANYAZGvAAAgAElEQVQHDo4GCCHo6Ohw9D+FTUf/k9sDR/8zBUf/MwtH/x046Bv7BsQ2nwz84fFHnf4vW7aMc4e+iEt1ceaid23pvxCCG2+8npfH70RVVTZ/5zqgb/03TYt5867jh10/xuv1Mvju8wF7+q/+aiVZbjcv3fydxGd29H/V1X+mTVWZvOxfv3Ddfen/2Ssn41JdnP3dz1/I9aX/QggmPHIuQsC27z2TmMvs6P/KlSspeetUNM2d8Isd/Y9vpvM398cPvGTjRe7T1z5EUzjEi20bWb58+ReuqS/9j2+mWzz8BQDOXPRun/amPrGESCTC4MeiPPfccwlf2dH/+Ga6G35z6GY6gJprYkVZ4z6L46GHHuL+h+5n/fr1iftqR//jm+l++9vfJrXnv+nppH5es2YN119/Pa+8+0ripbEd/Y9vpuvyt9MFTF52SZ/+XPzUDAzT4OoHW3l18+bEZjo7+h8Khbjmmmu497/u5cTnYvUMNn9nZZ829/60mu7uLvJuOiuxmc6O/huGATeuJtfv/4LP+tL/qqoq1m96jo7sLCYvk3uZPucwX6ZvkX6ZXonX62WojZfp8Q1yRyu+EYvplmVx6aWXcskll/DGG2/wi1/8gsbGRoYMGUJjYyNut5usrCwaGxvJz89PDMQhQ4Z8paK7efNmHn/8cUaOHMmBAwcSRxE++eQTFixYwMknn5yUJ4TguefeoLS0P3v3HqCrK0heXjahUITJk0cxfnzqytChUIj77ruP8ePH09AQOyayYMECcnJyem1re3s7zz77LEIIBgwYQEtLCyeeeOIX0jmkamt1dTUvv/wyEydOZOPGjRx//PFJ84fFEQ6H+etf/8rpp5/Ojh076Ozs5LTTTmP9+vWMHz+ecePGJeXpus6KFSsYM2YMwWCQd955h1GjRhEOh8nKymLBggUpeY888giTJk3C7/fz6quvcskll/DnP/+ZSy655JBcUYeLYDDIE088gWmaDBo0iIaGBgYMGMC+ffvIzc1l8eLFGQ10otEoq1atwjAMxo0bx5YtWxBCkJWVhaIoXHjhhVI7tfqCEIJnn32WYDDIwIED2bNnD7quEwwGmTBhArNnz87o9QkheOmll2hvbycvL4/W1laKi4upra1FURQWLVpku6q7Xaxbty4xf7S0tNDY2MjUqVPZvXv3FwoBZQpvv/02NTU1uN1uQqEQ8YIy9913H1deeeUX8iV+GbW1tfztb7ETCzk5OSiKwrnnnntILkEHDv4REIlEHP1PAUf/k/Mc/Xf0XwaO/jtwcHTCif8d/Xf0/3M4+u/ov6P/Rx++EYvpoVCQQr+fdevW0d3dzfLlyxPFOhoaGgiHwwwePJimpiZcLhder5cPP/yQe+65J2k+6SOFffv24fV6ef755zFNk3HjxrFw4UL27duHruspeTt31rB7935yc7M4/vjxPProS1iWRX5+Dh99tKtXMY2/BT1w4EDCRnt7e59iGggEOPbYY9m8eTNvvvkmAwcOJBrtO5dgOBxm3bp1RCIRJk+eTF1dHVOmTOmVo2kaw4YNIxQKsWHDBoYMGcKHH35ITU1NIt9xMrhcLsrLy4lGo8yYMYPW1lbmzp3L22+/nai2nGwS78mrqKjA4/Hg9/spKytLvLHOJDweD1OnTuWdd95hw4YNFBUV4fV6qa6ulkrrYRdut5sZM2awYcMGRo8eTXNzM5MmTaK+vp5t27Zl3B7AtGnT2LBhQyJXd2lpKevXr09Uac70Q+uUKVPYuHEjW7duRdM0AoEA0WiUYDBIQ0NDxsV0woQJvPvuu5SUlDBgwACmTp1KXl4eu3btyqidOEaPHk1XVxdut5sRI0awfft2XnvtNSKRSGLnRioMHjyY8vJyCgoK+J//+R9GjRp1RPq1AwdHAz799FP8jv4nhaP/jv47+n/4cPTfgYOjE8FQ0NH/FHD039F/R/8PH47+OzhcfP1npWygpaWVgoICdu7cSXNzM11dXRQUFJCVlZVIKG8YBrNnz8btdlNZWYlpmnR3f7V51oYMGYKu65SXlycm83Xr1pGVlUVtbeoE+5FIFEVR+PjjPXz00W6GDSsjPz8mhiUl/VPyIPYWb/LkyUSjUcrKyhg8eDDNzc19trW5uZmnnnqKyZMnM3LkSMaOHUt9/aFFSL6MaDSK1+ulqqqKHTt2kJ+f3+cRb5fLRb9+/XC73YwcOZIRI0awf3+smMTevXtT8lRVpaCgAFVV+eyzzxg0aBA7d+4kNze314cTVVXp168fqqqSnZ2N3+/H7XYfUvU4U+js7GT16tWMHz+ekSNHMmHCBLZv386MGTMwTTPlw0K6CIVCrFixgtGjRxONRgmFQkQiEdasWcOkSZMyftzXsiyefPJJ8vPzycrKoqmpiaKiokS/61mFPlOIH2mbPHkyU6ZMoaOjg+LiYrKysvp8UJSFEIJXXnmFYDDIoEGD+PTTT6moqCAvL08qN6qMvTfffJO6ujqysrJ44YUXmDhxIm63m+bm5sQOk1SIRqPs37+f8vJyxo4dS79+/ejq6sp4Ox04+LohhOC1115z9D8FHP1PznP0P3Nw9D+zcPTfgQP7aHXi/5Rw9D85z9H/zMHR/8zC0f9/THwjdqYXFfXnjt/cQW1tLW1tbQwZMoQtW7YwceJEKitjOXdKS0vxer2MGTOG+vp6FEVh8GAbJbIziNGjRzN37lwmTpxITU1N4tjPtm3bmD59ekre+PEjqKgYhK4b7N/fiK7rFBcXsnv3PqZMGdOrzfiAP/nkk3G5XDQ3NzN27Ng+25qdnc1ZZ52FpmmcffbZ7Ny5k+OOO65PXl5eHkuWLOH0009P5GazM3kfc8wxCUGrqqpi9uzZiTfh8bxjyTBs2LBEoRCfz4dlWXzwwQfMmzevV3sVFRVYloWiKJx55pkoisKMGTPIzs7us62y8Pl8zJ8/H4/Hw1lnncUnn3zC1VdfzY4dOzjrrLMyLm6apjF//vzELoxTTz0VRVGYO3duRo93xaEoSuJ+uVwuTj/99ES/mzVrlnShEjuYNWsW3d3dDB48mMrKSubNm0dLSwsjRoxgwIABGbc3ffp0Ojo6EEIwZ84cXC5X4rqPBCZOnEhzczM5OTnMnTs3cU9nzJjRZ1FUl8vF3LlzCQQCnHrqqXR1dVFcXHxE2unAwdeNhQsXMnjwYEf/k8DR/+Rw9D9zcPQ/83D034EDe+hf1J/Lr3Xi/2Rw9D85HP3PHBz9zzwc/f/Hg5Lpt2bp4LjjjhPvvZc84f35978DwKrLjv8qm5QST1/7EAAL77yE66+/HsMwKCwslPodr776Mj/5YQuKorCjKnketS9DCMGDDz6HdsMEXC43F+5LLc5fxrm7B6CqKk8Nq5Nq55Otg2M5qvKrpXiDanJRFYXqQe1SvIqyhwHYVfs9Kd7DZW+jABfXps7blgx79+6lubmZ2/p/G4Anh6bePRDHMx3D0A0dsfZuvvvd70rZq6urY9euXVw0/OyY/bLWPjmjh67EMExuvFXnkksukRLm1tZWtm7dymmnnXbIzx4btAkgaT/asmULmzZt4rLLLpM6vtXV1cXGjRtTVlheXFUGHOrnHTt28PLLL3PllVdKFfuKRCKsXbsW/aQrATg3d2+fnGG1/bAsi5+suJGrrrqq1+NUX4ZhGLz00ktce1Vsx8uOqr6LZjw2aBNCWNT85A2uuOIKqeNplmVx7u5iNE2z1TfjaGtr42V9NB7NIzV2Q6EQw+sK8Wia1NgNBoMcM/xxNI/GZzUX2uYBLC95C5fLzUX7Z9jmRKNR/vCHP7Bh4X+hqmpS30QiEYDEziWI+fOBBx7g3//931m6dKlUO+NQFOV9IUTfUYcD2+hN/49mrL/iKQo0D/5oixTvt0Oa2RvJpT1qf+4BOG/Xnylv6mKsLrcLZVN2EZ0+HyGvnL3uQd8i6s+iPTdPire7IYsOw0t2KCjFm938JMObuyjS5XYDNeWZdPk8KNlygaQ6pZWsggiKIrenxLcnn0FmC2G/XGDeUHUKbZEhRENy12eVReh0ddLqkfPnNrOQNtNPDiEp3omVTzO8qYuSLrnYIPeYC7H6DeFA/953U34Zlmnx5Ljd7NEKURrt73Jr8azHpVeRG5EbD8ISzPlgGL5wiCK1712ccaTbX4QluLernG5XJ2Gf/V11t23/DqUim9wOuedoIQR3DW05OMdkSfEmqy0UhfM5RmKOEQKCAYMuVxftln1/Amz0jKeBbDplFmSE4LSuKgZE8hnRKNe33UaUvOh+vv3kLVK8OBz9zzx60/+n79oCwMJ/O/arbJItXH/99Uwb/+LBOL7vWCCOV199mcbv58byW++zl4YmHv8/d8oyXC63VDzwRMsgVFVNK45XFIUayTh+5KBHURRFOhZ4qOQtAC6pmynF2759O7/Omo2quqT8Eo//a0YuBuzHj7pucPemv6Qd///rhTWA/fjRMA2s/9yZ0fgfUsfjRyr+f6ZjGHConw83/r9i8sUo2F9PsSyLS3+6P+34f/78+awcshlIvn7yZSzaW0I0GuWxkr3S8f+TrYNxu90szKuyzWtra2N0axkezUP1oDbbvFAoxNjhq9E0uTg+GAyyauhmNI+Hi/fLrdOes2sALreLp4Ye6PO78ZheURT+8Ic/8O1vf5uRI0fatnWk4/9vxM70oxWKotCvXz/pghaBQDaK0oaiqBQVTbTFEULg8byOQEFRFSmbWk1sgpJtp7vTnRZPO2ClxVMUBUQa7XSn187499Utim2+0qmgoODxetOyN378eJS/2/ePoqgoionH46GoqEhKTIuKivjWt76V/Peqqa85JycHTdPo37+/1JvuoqKiXgvYqDXJbR44cAC3203//v2lj1UtXbqU/9ktcf8OWChKrOp5YWFhonq4XfzgBz9AUf7bvj1VAUtJHFns16+fbVuWZaHsiY0Lmb6mqirUx/4rwwsGg1AnpO11dXWBIt9OAO3g/ZbhRSKRRMVzNcVcGD8q1/NnpmlKPaw5cNAbFJcXVA1Vldt5JDxdYPpQdLnFWKGGMBUDRZHLzqfE/8i2EwEI1HR2VimgyObRdHWDEkVVZHc6xfRUdgeYGrs86XZ2GwF0q+Mw/CLH86gKbsXeDsAvQMS+L81zhUDVURS5ufLz/iLnT6EIhKcb3LlSfVsRAiUNe5ZioRk5YFkoLvu+Sbe/oFh06wF0QlL33mNmoSheFEVB5hZa4vDmGEvJlpxjBB7VhVtxSftGHPx/mbEkANxBLD0gPZYQYJmZ3Snq4J8TsXGpHIzj7T+/xuJ/18E4Xi7+p5dn3lTQOtOL/9ON493u9OzFR6Us79RTT8W9RX4NIP5d+fgxtkkn7fhfMn5UTDIe/0PqePxIxf9K55GJ/1Xp9ZTDi/+h9/WTQ2xWqYCSVvxPm3wcr6oqtCK9ThgMxjZrpBX/p8ED8EisTcZj+ry8PNxuN3l5eVL2jnT87yymHwZUVWXYsGFSRSaEEAfzedWiKqrtNyuWZREIBAipCi7VPg9A/WAfgBQHQN1bnxavfvtOaZ4QgqZqBRQYMWKElGi4atW02hmHjH/UvbEjhLm5udLtjEPGPx11KqaikJWVxYgRIzJW6KM3n+3atQufz8eIESMSLyoygVR+bmxsxOPxUFFRkdaRMZl+Wr99JwKBpmmUl5enVciko85+f3PVqpjEXvgMHz5cevJXNu9BdcmN95ycHJT6WIVwGV5nZydN23ehSMxLEHsTHmqJzYeyYzCdsRsMBtG02CKmqrqScjs7Ow/5vYZhHJEjiQ7+OfG+CJPlcTFmof0iZ0IIzqy5E7fmJr/0d7Z5lmXx4z2FuN1u/nvov0m186srwZY+hBBcsTe2o/mPw34uFzQe/PNV4d+21sR2/546WKqd2VMhnUPmJY/txjA1Gi46Tkr/T03DFsCVVWvRDZ0/Dv03Kf2P71/0I7ej/e233+WsxuX4A37yyu+WYJ4vZSeObdu2ke028ecEKFmUerEhU9i9ezf6HgW/38/tc0ts8+o376QhEmHAuSOkdKuuro7Zwcfw+/1Sc0xnZyf/r34dPq+XMwZfY5vX1tZG+bP1+HzF1J4/zTYPwN653C8iGAzys9q/4fF6OVOinYZh0HLllZQM+mrTfzj4x4SqqrE/Es/L8fh/nxpEVe0/n8fjf1VJ/cybsp1fYRwPcvFRHEIIlL0xLU0nrk53jQPk40dFUQ8r/peOH1U14/E/pPbZEYv/U/j5cON/2fUUDjP+B7m4Vd0S21WeVvxfuV86rs7JySG4q05qXoKY/nc1ysfxbW1t0KRI2wO5cRuP6cvLy9E0jbKyMil7Rzr+P+rTvJx8+4VE/fUME3JHXI8ULq6/imKRg8fvIxwOpawo3RsMw2B54R72RvLwhu0fU4zqUQZ7AhRF8hnQYdnmTZj2OlZeDZV5chPxyj1eQmonpc1yx9h/2HEtxSIHS5HrW3/N28necB7eiNzRzWLFLe2TnpDxz8o9XkJKJ/3rG9C09IRGxj9/zdvJ3kgeamc7mpa5Yhi9+cyyTAzTxJNBe5Daz5ZlYRhG2sU+ZPpp3PdhPRK7vjQ2KcXviZ2xG/dzflPo4PXJGUxn7AoEq/b4pMeuAC5NZ+wK+Gu+fZ/0RHpjVxCN6hw3c2NK32RHw7QHC9n34ajEZ6Zp8uijj/If//EfTpqXowjf1DQvrz14CUrOftpVuUJnf2wsIqh2MMxskuKN3ToNbziEy5TbTWP2z0f4s/Brcku5r44eQlNuNm6P3PUZrS/iiVQxMNgoxfuqr28NpTSQRWePVFB28KO/30V5cxceITfXDS/9Du7cIYS8cg/0fzqlm92eQqKuqBTvsO+DEUBmS3TZjB34+oewJHXcMi2yd/oYbLQQMezfi4aWObRGhxIJye02siyBMkin29WFkHiES7e/CEtwerCaAZF8KhrtxzHDT9qIyKumxd0t9dgghOBPTQOk5xghBBdXX0+JyEGReAYXCO47JfiV9VGB4OKq9NqpmiZdkQZm3f//pNoZh6P/mUdv+n/SPT8k7DlAf396sd2RRDgc5trqf6XEyqa/Yn+cGYbBHQXd7Ink0dluf2Drus7kPIWiSD6KZj+V1pxhj0BeNWa3/RQoALfqo+h2dRIw5Xyfjk8Abs1tl/ZJHOMChrRf4pDxT9wnWjiS9i5XGf/EfdLSZGR8V20qn1nmwfjfo5FWgJwCqfz8efyfnj2Zfhr3fa5em3b8D3J9NeFnd6HU8xSkN3aFENxmjJYeu0IIflHzQ/mxK+DWvPTGrsy4LWluRDWb2dNvD//7v//L6aefTnl5uW1bRzr+P+p3pofdHgxVA/PrbkkMmpGFqsSDBQWXyyV9zNuyLCxPEGEEcLvtcw1DAVcIoWThdtt/oPcqCgaK9FvGbiML3R2W5sV9pHrlblrCJ6Zst5T3CXCw0rYl5Z+4T1RV3p+WZcWOmkj4J+4TRUnPXupF6tQ+MwxQTEvanhACXY/i8SS/D6n8bJompmmm8RZcEI1Gpfrp5+M3gsvtltM2AZFotMfYtdPemJ9jc4Vb+sVbOmNXCJHW2BWItMauEELSJz2RztgV6Lreq2/cYQuvZXHKKackPjMMgzVr1ki2z4GD5PDhwsQl3ee79Cx0LSKl/QAeIwuXJT9PmsRiBrcrvcc9WXuGAFBwu+VymKd/fUp613dwipO1p6pBUHR5e0p69kytG6HmpuUXIUj7Prjc8nqFSKO/YBI8mDpHyqeKAogYR6KZpmnhVk1CiorikkgrYykgBG6XSyootiwrkZZExjceVcVQVOnnFMsSPeYY+/deCPAY2aiKF5dbl+CJWB91yffRdOaKtNuJwLJMLNnUMA6+NoRQMTK4oJdpaEY2Cl7cXvv9Ph7/YwZwu+2/WDUMUNQuUPxS48WjujAVF4rsc0oogK6EyXXLxfHp+ATo4ZOAFM8wjLT8YpoWwrKk/BP3iUeNyuuxZR6M/+37J+4TRVHTi8cNPeWmOEVtS+ozQwgUy5LWVSEEelTH401uL5WfTdPANOPPDRLpvkQs/u8y7PfTuO8BXG6X3PONgEg0gtfrleqrcT+7XK40UvzJj10hLLrC8mNXCJHW2I3H/+mM3VR9MBl80SjeaIiTFpzE6tWrmThxIlOmTLFt60jH/0f9YvqwnMsAWHEUFSDtFu0sXHYJy5Yt4+KLL5Y+znTjjddz7pDXUFWVMxfdZ4tnmhbz5v2UTf9SgsfrZfN3Vtq2ufPHUTRNY9a9F9jmAPzPulVoqsrjt5wnxVt19QO0qy7O+69/tc0RQnDWY79CIFh44YdSk9ykxxajKLD1giel2vn6669TWVnJ4I/mADDr7r6PDS9/62mUcJi8fS+yfPlyqXZu3bqVtWvX0k17rA/dckmfnEVP3UIkEuGBR8pY/dxzUjnMKisrWb58OTfddNMh7Zz6RKz4SbJ+9NBDD3H//X9m/fr1UrvF6+rquPPOO/ntb3+b1C8118Q++7Kf16xZw/XXX8+7774rlcOsvb2dG264AX/RbPzA48sW9sl5+tqHaDeaue7Z29i8eXOflbN7IhQKcc0117BwxlYUFM5c9G6fnKlPLMEyTRp+/i7vvPOOVEoowzDYdVUYv8/PrN/ZP9JeVVXFf7+0nuzsbB6/abFtXktLC8//6lHa/QGpsdvY2MjpL/yCwOAAZ59nf4exEIIJj5yL1+vlve+uts3r7Oxk2rRpLMq5Ec3tTjpuH3zwQVRg7ty5ic90XSc/P9+2HQcOeoP3s3MpLh7A0J/ZL54rhOC2X60ky+Pi4ZsqbPNM0+KxLZvQsjwsufdHUu28/fbbmTdvHhMmTJDief/yF4YV92f2afOlePfd18DYsT9g1qxZtjlCCFZ8cD/4BRf8/nIpXV25ciWBQIAFCxZItXPMQf2/9NK+daMnxj/8R4Sw2Pa9Z6X1/5W1a7n22qVS9s5dMRnd0Fl44YeS+j8hpf73hlXb/kw0GuH8e36UUf1PhTVr1vCbjhZycnJ4w4aGxzHsoP7f86d7pPyyceNG8v/6CTk5Axlyq/3Cgd8/qP/33nuvlF+2b9/Od/7vXrKzs7lNQudqrvERDIWYctd5Us9FVVVVRDfE9P/hdPX/bjn9P+uFkwlkyev/dddt4ic/+Q+p56LOzk6evvZ/aff7Oe/uH9rm6brOr887m9LSUk6xzXLwdaLC930AVi09OuL/nli2bBkdZgtdqovJtyy1xYnH/wuHfpXxfzWapjFMMv533RCL/19LI/5vU11Mloz/5z02Ka34f+XKldwhXsStaVJ+icX/exj8cSz+H2wj/vffFIv/hx1G/N8l2ukCW31m8VMzYvH/O2U8l8H4H1KvAcTi//vTjv9vuzlV/B9L8/JlP2cq/n/NZvzfZhpc9+xdacf/9957L4vXxJ5t7awBTFl1Ht3d3ayd+0Aa8f9e/D4/QyTjf/3emP6/lob+t/kDUmO3sbGROWnqv0z8X/W9fwEXFJx2GVlZWRx77LFfiO/7wpGO/zOXgOkIo6mpie7ubuJpaUzTpKOjg55paoQQdHZ2kix1TWdnJ7pufxdDOhBCEAwGMU2TaDRKOBzGNE2CwWBsd0ovvFAojGEYRKM6kUgUy7IIBsO98nrydV3HNE1CoVDS60/GiUQihMMxu8Fg0Bavpz3DMOjq6sIwjD458V3Z0WiUrq6uhF/64sZ5PW2FQiFMs/c3bvFd2T19EgqFjkgfiL8hjdsxDAPLshJ++irsmaZJd3c33d3dtvqMLHRdT/Ttrq4udF1PXN+RSBUV75Px64pGo0QikS/MAZlE3I5lWYm+cySvD0j87ni/jPft3uz1bFP877qu2x73Dhx802BZlqP/fdh19P9QnqP/mYOj/5mHo/8OHNiDo/+923X0/1Ceo/+Zg6P/mYej//9YOOp3pgM0Nzfzn//5BLqu8/Of/5xwOJa+4OGHH+byyy9H13X69+/Pzp07efnll1m6dCmtra0MGjSIAwcOoCgKmzdvZuLEiaiqSmlpKTk5ORlv5+bNm3n88ccZM2YM+/bto6Ojg9LSUmpra1mwYAEnn5y83E5tbSNvvLEF07TQdQNVVRg+vIz9+xsZOLCIk09OfZRBCMGOHTt47733KC0tZf/+/UyfPp3Ro0f32tZIJMLq1asxDIPc3Fy6u7uZOXMmFRW975YTQlBdXc3LL7/MqFGj+PTTT5k/f36vb9wMw2DVqlVUVFSwd+9eDMNg3LhxbN26lfz8fM4999ykPF3XWbFiBWPGjKGhoYH6+nrGjx/Pjh07yMvL49vf/nbSN6CWZfHss8+Sk5ODaZrU1dVRXl5OTU0Nqqpy/vnnp1U4JBVM02T16tXous78+fNZtWoV559/PnV1dXz88ccsWWJ/95MdCCF48skniUQizJkzhxdffJFZs2bx8ccfs337dn7605+Sl5eXUXvPPvsswWCQ3NxcampqmDt3LtnZ2TzzzDNcccUVGbMVt/fSSy/R3t5OTk4Oe/bs4ZRTTmHTpk3079+fs88+G69k3tK+sG7dOhobGxk5ciTt7e2oqspxxx3HAw88wNVXX53xfHX79+/n0Ucf5YILLmDDhg0IIVBVNXFPBw4cmJS3b98+Vq5cyc9+9jMqKyvZvHkzOTk5tLa2Mn/+fIqLizPaTgcOvk4IIVizZg1vvPGGo/8p/OPo/xfh6L+j/7Jw9N+Bg6MTTvzv6L+j/5/D0X9H/x39P/rwjVhMb2tr48orr8Tj8bBu3TpeffVVxo0bR11dHb/61a/QdZ2Kigosy6K2tpabb76ZgoICSkpKeOutt8jLy6Nfv360tLTw3nvvMWLECK677rqMTqgQ6+her5ctW7Zw+eWX8/jjj3PSSSfx4osv9vqGsqioH0OHlrJp03YCAR/BYJjjjhtLY2MbXV29F9jp6urirbfewrIsqqqqOO2009ixY0efYqppGtOnT+ett95ixowZPPPMM4TD4T6vMRwOs27dOiKRCHf5uz4AACAASURBVJ2dnWiaRkNDQ69iqqoqFRUVRCKRxJu0+vp6qqqqer0HLpeL8vLyxFt+gHfeeYf58+fzxhtvIETy4q+KojBixAiqq6tpaGjgpJNOYufOnQwfPpytW7f2eY2yUFWVGTNm8Oabb/L222/T0dFBbW0tmzZtQtM0LMvKaBVuRVES9t5//32amprQdZ2pU6dSUFCQdoXq3jBt2jQ2bNhAMBjE7/ezd+9e6urqiEQiaeY77x1Tpkxh48aNBINBsrKyqKmpAWJzQTAYzLiYTpgwgXfffZcDBw6wZ88ehgwZwssvv0w0GkXX9YyLafw+FRQUUFFRwaZNm/D7/aiqyu7du1OKaWFhITk5OXR0dCTG/dy5c3n44YeJRuWKfzlw8E3A+vXrueqqqxz9TwJH/x39d/T/8OHovwMHRyec+D81HP139N/R/8OHo/8ODhffiDQvPp+PV199lT//+c+89957uN1umpubsSyLSCTCxIkTEUJQVFSEy+XCMAyys7MJhUKMHj2aUaNGEY1G2bVrFxA7MnYkMGTIEHRdp7CwkLvvvpu8vDw++ugjsrKyqK1NXY13795aVFXB7/dSVNSP7Gw/lZU1DB1aQmdnsFeb4XAYr9ebeONbWVlpKy9QMBhk5cqVjB49mg8++ICxY8fS0tLSJy8ajeL1eqmqqsLn8zFhwgQOHDjQK0dVVQoKClAUhcGDBzNkyBB27NjBCSecQDQaTXk8Jc5TVZUBAwYwatQoQqEQn376KV6vN6UQK4pCv379EhP87t27aW9vRwiB2+3u84iYLKLRKCtWrKCiogKfz0coFKKyshKPx8OePXsyPsnF3/SXlZURCATQdZ3q6mree+89xo8fn/GHRMuyePLJJ8nPz2fIkCFMnTqVmpoavF4vNTU1dHV1ZdQekMgPN2zYMKZNm0ZdXR2jRo0iPz8/4/aEELzyyisEg0EGDBiA2+2msrISl8tFQ0MDzc3NGbUHsTktJyeH6upqDMPA6/VSWlqKpmkUFham5Pn9frKzs4lEYoVQdu3axcaNGxkzZgytra0Zb6cDB183ysvLHf1PAUf/D4Wj/47+y8DRfwcOjl448X9qOPp/KBz9d/RfBo7+O8gEvhE700tLS6moyGPmzJkEAgEOHDhAcXExqqrS0dGBYRhUVFSwZcsWzjjjDBRFoaqqimOPPZbOzk5cLldiQtu3bx8lJSUZa1s8dxHA6NGjmTNnDuPHj6e6uhrTNCkuLmbnzp3MmDEjiWjEuEOGlNLS0sHZZ8+koyOWu2zgwCI+/ng3Z5wR54lD7AL079+fiy66iJaWFhRFYdeuXUyePDmlrTg0TWPevHm43W7Kysqoq6tj0qRJSYWt52e5ubksWbKE2bNnoygKO3fu5OSTT/5i7rokvEGDBlFcXExLSwuNjY18//vfZ9u2bcybNy8x+Qu+mP8OYOjQoZimSWdnJ9XV1Vx++eV88sknzJgx4xAbPf9eVFTEtGnT0HWdvXv3csIJJ/DRRx9x5pln4nK5+rxOu4gfz4lfx/Tp05k2bRpZWVm4XC5aW1vxer0ZtacoCmeccQamaTJmzBiOO+44vF4vHR0d5OfnJ/VJKlt9tSFub/bs2UQiEUpKSqiurmbRokXk5+dz6qmnkpeXd8jv6SvvV6p/x8fTSSedRDAYTNhbsGABLS0t5OfnU1ZWlvheqvvf+0Udanv69Om0t7czfPhwJk2aRCgUIj8/n5kzZ1JUVJTR+xfHnDlzyM3NpaOjgzPPPBMhBE1NTYwaNarXa5szZw5FRUVcdNFFNDc309XVRXNzM6NHj07fJxm4tq+D1xc3E75w8PVBURR+8IMfsHHjxqNS/+HzfiWr//F/y+p/z99jV/+/PC/Y1f8v82zpfxLNsaP/yXxjV/+/3E4Z/T/cuUdW/w/XXib13669TOp/Mhs9/56O/h+OPZDX/0zoXJ/63wvvH0n/v9zmI2XP0f9vJo7m+D8OIYQT/ycsHcr7KuL/nv924v8v2pCJx5PZc+L/9NZPevu+E//L8ZJ942jSf+VoeMA47rjjxHvvJa8Ce/797wCw6rKjo5r309c+BMDCOy/huuuuo76+XrpC7Ntvv8UvfxJGURTefG+iLY4QgmeeWUfg34/F5XJx+pZy2/Z+1DUeVVW4L/B3qXZu0KagKAozo/Yr9AJMiYxAURTe8+yU4p0w6VUA3v7AfoVegFcnVQIw94MRUrwDBw7Q0dHB74Z8F4A/+T/sk7PROzVWPGXNbZx55plS9pqbm6mtreUHo78DwGbt0z45s45bh2maXLusm3POOUfqrXNHRweVlZUce+yxh/xs7bG7AZL2o48//pht27Zx3nnnSR1PC4VCbNu2jWnTpiX9+Y9Dsb7+ZT/v3r2bjRs3smTJEqnjVNFolPfffx/rlJ8CcGJkc5+cqfooLGFx1aO/4oILLsDn89m2Z5ommzZt4rqfxo4cvvneaX1y1h67GyEEVVe+zpIlS8jOzrZtz7IsLusej9vtttU34+jo6OD9vJPQNE1q7IbDYaZbY3C73bwvMXZDoRCnTn8Dt+bmrfdPt80DeGXiTlRVZc7W3nM19kR8J8jb37kLVVWS+iZeFb67uzvxmWVZPP7449x2220sXbpUqp1xKIryvhDiuLTIDpKiN/0/mrH4d7+nNpRHg5l6J0kyzO6uZkAkn/IGyR02Aw26XV1YLjnaq2MG05STjebp7vvLPXBp5TOM7tyDu7vvAmM9Ud8yhzZ9COGgR4rHwGia1zeEppws6eszWl9Ci1QxMNggxTvmg+l4wyFUIyDFKzt+B/7CEKZH7ohy1qceBhsthHUPCvb1v6F1Dq2RIYRDX819eEEppV4E6JI8gm1ZFpd/9DvKm7vQRO87MXuivPQ83DmDCUpoeNzeA6eF2e0pJKpGbPPS7S9CCL5X8ytKRA5E7F/fAyV17AnnsctVLHHXY/ZOD9YcnGPs2wNB+ay3EXnVNLtlxpIg61Mvg40WIrrcvU9vrki/nYqAYFc+31v6slQ743D0P/P4JsX/PXHdddcxvnNoLCe7jVguDif+T4504//du3dTuSiWSkXGL//M8T+kXgNw4v/kiMf/M2bM4JRp6wF7awCvTd6FruvMeneQE/9/CTLx/9mbNgHw1OTJrFixglNOOYWhQ4fatnWk4/9vxM70oxUul4spU6ZQWloqxaupqcHl3oWiqMycmbz4xpchhGD9+u0YqorL7WbmzJm27Xlfj+Vdk+EAbNoaOw41c5ocz9zQmpY9EXwtLd7r0eq0eHG4JfyzaauJJSwGDBiQtj0Z/7iMNxFCUFBQwMyZMzN2hKs3nxmGQVVVFSeeeCIul1xEPWfOnJQ/S+Vnv9/P1q1bOeGEE6RzoZ122mncFe+nU/v2p7mhFdMy8fl8zJgxQ0rcAE4++WRcxm0xezbu3+vRaizLwuv1Mm3aNAoKCmzbsiwL5dVOXC658d7Y2MiWnQoul0uK193djdjYJs3r7OwE3pDmQXpjNxwO8+yzz+JyqSlt7t4de1CcPHly4jPTNHnllVek2ufAQSp4XB14FK98vkh3EEsP4HbL5WFUVYuQoqK65bLzKYqKoijS7VQUBUVRcLnlNEBRlYP25HiqqqZ5fUpa12emyfMYWbgsE5esP1FQFFXaL0EjgG514Ha5kVpVVRQU9TDug0sBiecNxVJQ0/CnYZqoahAUHbcqwU1cn+R9N01MrRvhyo351C4vzf5iWRYeIxtV8aK67R/5F1oXiu7D7XJJPfdZQvSYY+zfeyHAo6oYkn1UCJHoo1/JXJFmOwFMw4AM5i928M8Ll8uFy+VCVVWp51cn/k+OdOP/mTNnckv0sbS48M8Z/0Pq2MuJ/1MjXkTYZbwVs2njHv4tvBd03Yn/k0Am/s/bsQOAE044gWeffZZjjjmGSZMm2bZ1pON/ZzH9MKAoCgUFBRQVFdnmCCHw+/0oSizwsMu1LAuPx4MpyYu1cx+AFCfGq0+LV6+0SfOEEDRVx4Sif//+UqKh1irS9npCxj+KUo+Cgs/nk25nHDL+6ahTQAGPx0P//v0zVsikN5/l5OTgdrvp379/RguLpPJzbm5uwp7Mm+LPf6/9flqvtMUWiFwuCgsL0yrW0lFnv7+ptQpCURL5/2T6qGmaKEoniio33mM5AUMokvOEz+ejiTYU5HiaphFqQdoepDd2g8EgroMLDIqiJuXGC9b0/JlhGBkvJOPgnxeLy9aQlRUgK7DMNkcIwZVVb+B2a5w56GrbPMuyGPDILtzuQuoutL/7CmB84m85UjzGXU4Y6Lss2ReRdfCPDIQQFD+6G+hH/UUVUrqa9vWVfl/u+wdR88FHWF6LIeePy3h+0mT4eXAfpmly1/zBUvqfzn0AKFmxB0N3UXdhuZT+j+/7K0nx9ttv85c5/fD7A9wz8Ke2eW1p2tu2bRtnNvyJQCBAXsnd9olp9pfdu3dT21FNmz9AyaJv2eadU3cHkUiEnOK7pJ6L6urq+HXnWvx+P2cO+pltXmdnJ3lPTcfrPRmW2N/x1dbWxs3trfh8Pu44Q25jUTp9NBgMkvf4dLzeWbBkmG2eYRg8+eSTvRZLdODALpSDL/Nknnud+D85Dif+h8NbA/hnjP8htc+c+L9vyKwBKPti33Xi/0MhM241LXZ6rbCwEJfLRV5enpS9Ix3/H/VpXk6+/UKi/nqGSRz/PJK4uP4qikUOHr+PcDgUe3skOaGapsnywj3sjeThCdk/pqjrBoO9AYoi+RS12y+iMXH6eqy8GnbmyrVz1V4fIbWTkia5AgyXdv6CYpGDiSXFezC/kr3hPDxhuXtdomrSPvkcgonT37Dtn1V7fYSUTvrX16ctNDL+eTC/kr2RPJSOdjTNjdzWtFgWumRHw3vzmWWZmKaV5sQjUrYxVT+0LAvTNNOe6GT6adz3oWgEjyc9e/F74gn13U/jfs5rCuHRNOTuX3pjVyBYvdcvPXYF8KPDGbs2fdIT6Y1dga7rHDfz7ZS+ydEjtHcX8vf1n4utZVk899xz3H777U6al6MI39Q0L/N+P59urYNS0Xfhrp64uPp6SkQOIiyXluT+U0Ps9hQSkUhNAfCjymcY07kHtVuX4ml/7yDS5qLWJTdPlpedhzt3CN0eufQi6V/fs4zp3C19fY2tc2mNDiHcLakDg/SDaVDknp1fUMpoIECHZJqXy7b9f7EUKJbc3Hr49yGMjF6ZaaZBsSyL8X8//mDqHL9tXtnxnx1MmyN3/yxLkLPTl0idYxfp9hchBBWnvHMwLYn91E5/ahpAUO1giNEgld6nZ1oZ2Tnmz6X1idQyEga5bPvdX2kfTa+dYLlcaNkqO38ql0oiDkf/M4/e9H/9/UtQcmpxi86vuFV9IxwOc6s+im5XJ37D/vOrYRj86sDllFjZFNJom6frOnf2D7EnkkeHxJvE8VkmRZF8cMulo5s7/FHIq8bo2i/Fu80YLe0TgF/U/FDaJwmbeR3SfolDxj9xn4TbqtKM/wW3GWNs+yfuk1y9NuMLgal8drjxeCqk8rNlWZjxhU6ptTQBAuaWP2a7n8b7pisYQtM06bW7eA55mb76uZ9Tr42kQjpjVwjBGRI+6cGU6ps97f1y36VpjV2ZcduZk0+WK8L4mnU89dRTnHDCCQwePNi2rSMd/x/1O9PDbg+GqkFmCzCnDc3IQlXiD34KHo8HVZF7WxiJRrA8QYQRwGszEBAcfOPkCiGULLxe+2/wvIqCgSJ9hKbbyEJ3h6V5WmvMR26fXLD5uU8kc3yKoLRPIOZPy7Kk/BP3iepSpf1immZMpAz7/on7xKWqeDxeqanYEha6biT3Zy8+03UDIaJ4vB5JewI9GsXrTX7/UvnZMIzEzgsZcRNCEIlEpPppvG8qSjRmTyZIBSKRsFw/PehnBQVN86CqcvbSGbuWZaU1doUQUn2zJ++rHLtCxPpMb75xR0J4sbjqqqsSnxmGwebNfefVc+DADtqsHAxi84gM4ikf3F77KR9AJFJTeDXJMUYsXYdXchFXENt155HUOYjFRNL6qDUh1FzpOURRSOv6DiZekW6nUE1CiorbI5nmxVBAKNLXF0+BIn0fDmpp+vdBjhc6qG2y48EwjUTqHE3CpkrcnvxzWDwticw1Kgef8z1euecw07ISaUlk2tqlZ6FrkYP9Rea5yOoxx9ivdyCESKSWkemjsSJ8afZRYjvapPqoIK12AgRNC0OVLAbg4GuDz+3DcGkgV7bjK0OXEUBXwuR5JNIiIdCMbBS8eH32NCQW/xtYniCYAbxe++kpFLUBFL/0WPGoLkzFhStFPJcKXWF5nwA9fCI3h+iGnpZfTDMWdypql23/xH2iqmrKODe1PQvTNKT6TNwnatrxv55S41L5TNd1hBAHr09Od6LRaMpYLlU/NAwDyzQPrjfIbRqLRKJS/TTeNwNKWNoeQDgSxuvxSvXVuJ81T0B6rTCdsWsJK62xK0R6Yze2bpDe2JUZty0eH0G/j8suu4zXX3+dBQsWcOKJJ9q2daTj/6N+MX1YzmUArDhKCpA8fe1DdIt2Fi67hGXLlnHxxRczcuRI23whBDfeeD3nDnkNVVU5c9F9tnimaTFv3k/Z9C8leLxeNn9npW2bO38cQdM0Zt17gW0OwANrV6GpKqtuOU+Kt+rqB2hXXZz3X/9qmyOE4KzHrkMgWHjhh1KLqpMeW4yiwNYLnpRq5+uvv05lZSWDP4rl+Zp19/l9cv73zadRwmHy9r3I8uXLpdq5detW1q5dSzftsT508yV9chY9dRORSIQHHilj1XPPSeUwq6ysZPny5dx0002HtHPqE0sAkvajhx56iPvv/zPr16+XCozr6uq48847+e1vf5vULzXXxP77ZT+vWbOG66+/nnfffTdRONIO2tvbueGGG/AXzcYPrFq2sE/O09c+RLvRzHXP3sbmzZulcpiFQiGuueYaFk7fioLCmYve7ZMz9YklWKZJw8/f5Z133pE6YmwYBruuCuH3+Zn1u777ZhxVVVX84cX1ZGdns+qmxbZ5LS0tPP+rR2n3B6TGbmNjI6e/8HMCgwOcfZ79HcZCCCY8ci5er5f3vrvaNq+zs5Np06axKOdGNLc76bh98MEHUYFx48YlPtN1nUBArmigAwepYNadQ0lxMcsv77sIURxCCFb+9H46PW4W3zW5b0Lclmkx/7Gb0Nwezrlgq1Q7b9/0KZPnXcf4CROkeH/5y18YNmwY82bPluLdd999jB1bzqxZs2xzhBAseGxSWvq/sj5C3aAACxYskGpn0+uv01VZyaWXfk+K99mPH0JYHr5131Kpds44qP/XXnutlL0Jj/4RwzDYdvEzGdP/3rBw5bFEohHOWbJVUv+P71X/U2HNmjW0aHvJLshm0Z1LbfPi+n/PPfdI+WXjxo1c1VFJTnYOb/56kW3eiIP6f+9990r5Zfv27Sh3R8nOPp1Z9yyxzbvrpqcRoRB/+vU5Us9FVVVVrN/8HJ3ZWSy+6we2eS0tLcx5/jfSOt7Y2MhJz/cjEMhiy5LHbfOEEFx33XX85CezpZ6LOjs7mfPUr/EP8vPt775vm6frOiMffpqS0jLbHAdfL8qN/wdtMOAyOe36KrBs2TK8TMCvqrxqI/aAz+P/DrOJLlVl8s32CpDG4/8rjo1tkLETe8Qx4ZGFaJqb98+3PzYBdl1ZhaqqDP/9RVI81w2xdYNXJdYNhBCs+Mn9NCKYdMflcvq/ciULlGfQNE3KL/H4/4F+sQU2O2sqNdccIBQOc0vX2rTjf39wBH6w1WeevvYhmiMRHt71PM9lMP4HWPzUDIBDfBaL//+H19KN/29Prv+p1hwON/4f/HFs/WawjfUb/01P4zFNDjz6y7Tj/3vvvZcXblhBFzDZxhrOuU9MpburmxNOf1U6/p/02GL8fh+bz1tlm1dVVUXXzdPJyprNMIk1v5aWFvTbnifgD0iN3cbGRl789UraAwEm3yy35jdvxSS8Xi/zFv9fn99fuDVWFHXMiBK8Xi/Dhg37QnzfF450/P+NqMQihOCzzz6jvr6eL6elie9O3b9/P4bx9b2+FkLQ1dWFaZo0NTURDAYJBoM0NDRgGAYNDQ2Ew8mzj1qWoKmpjWAwjBCC7u7QQU4Lut77NQkhaGlpobOzk2g0SlNTE5bVd4oGIQTt7e20t7cTiUSkeG1tbbS2thIOhzlw4EDK6+oJwzCIRCKEw2Gam5sxTZPGxkaCweAh9zRZO9va2ohGoxw4cIBgsO+jpPH70dLSghCCcDh8RPuHZVmEQqEv+KS5uTlW1OEIpFKK2zNNk4aGBqLRaGxHcrfcsV67EEIQDAaxLIvGxkYikQjt7e20trYekevraa+pqYlQKJS45iOBuD3TNKmvr6etrS1Rfd1O/3bgwMGRga7rjv73YtfR/+Q8R/8zB0f/HThw8HVACMvR/17sOvqfnOfof+bg6L8DB73jqN+ZDtDQ0MCjj75Ca2srS5cuZfjw4XR0dNDR0UFbWxvPPPMMw4cPZ86cOTQ1NTFu3Djy8vK+0jbu2LGDO+64gx//+MesWrWKnJwcsrKyaGhooKysjH379nHiiSeyaNGhO2H2729g06btBINhTjvtOJYvf4HjjhtLe3sX+fk5zJkzPaXd9vZ21q5dS1tbG8XFxQSDQcaMGdNnldtwOMzLL79Ma2srBQUFGIbB+PHjGT++9zJSoVCI559/nkgkQkFBAc3NzZx99tmUlqYuPKTrOn/9618ZM2YMdXV1RCIRSkpKaGtrIxQK8b3vpd4ZFgwGWb16NZqmUVJSwu7du5k/fz5Dh/ZeIMmyLFavXo2u65xzzjmsWLGCBQsWUFFR0SsvHQgheO6552LFonJyqKurY+LEiWzbtg1VVbnwwgszWshDCMHf/vY3qqqq+Na3vkVtbS2jRo3C7XazYcMGrrjiiozZitt75513eO+99zj++OPZuXMnpaWl7Nu3j2g0yuLFi8nPz8+ozQ8//JBXXnmFs88+m61bt1JWVkZ3dzcdHR1cdJHcTgk7+PTTT1m9ejXf+973ePLJJznttNOIRqO88cYbLFq0SOr0iQMHDjIDIQQrV66ksrLS0f8kcPQ/ORz9zxwc/Xf034GDrweChoZGnnj0LUf/k8DR/+Rw9D9zcPTf0X8HfeMbsTO9q6uL73//+9x444289NJLfPjhh6xcuZLbb7+d1tZWmpub+eyzz3j88cf5/e9//7Xkxa2oqCA7O5uqqirGjBkDwDnnnENBQQE7duwgGAxy4MCBpNzS0kLKyopobe1gzZq3sCyBYZhEIlF27Njbq92cnByOOeYY2traqK+v5/jjj09ppye8Xi9Tp06lubmZhoYGZsyYYZs3ceJEPB4Pfr+frKwsdu3a1SvH7XYzY8YMDMOgu7ubyZMnJ6opFxb2Xlghflxo3759tLe3069fPz777LM+2ymEoLm5mfr6el5//XW6u7sTb6mPBKZNm4amaWiahtfrZe/evZimSWVlJdGoTG5ce5gyZQqBQIDNmzdTX19PdXU169evJxwOo+tyhdjsYMKECeTm5rJ161bq6uq+cB9lc6TawejRo+nfvz9///vf2b9/Py0tLUydOvWI2AIoLy+nrKwMwzAoLS1lx44djB07lrFjxx6RBzAHDhzYw5YtWxz9TwFH/5PD0f/MwtF/Bw4cfB3o6up09D8FHP1PDkf/MwtH/x046B3fiMX07OxsHnnkEe644w50XefNN98kHA4zYMAApkyZgqZpuN1uBg4cSG5uLrW1tUds0kwFTdPIyspi4MCBfPzxx7S3t/PHP/6R1tZWJk2aREFBQcojODt31tDZ2Y3HozFy5GAikSg+nwdNczNyZO/Vauvr69m1axf9+vXD7XazZcsWBgwY0Gd7Ozo6+OCDDxJvlD/44AOKi4v75LW3t7Ny5UoGDRqUeFvc19EbRVEIBAJ4vV4sy+Ljjz+mvr6ed999l4EDB/bK1TSN3NxciouLyc/Pp7S01NZRH9M0yc3NpaKigkAgQG5uLp2dR6YivKIo+Hy+RD8sLi5OXPOwYcMyLgDxgk0ej4cxY8ZQUVFBKBRixIgRdHV1Zfw4m6LECu16vV5GjhzJyJEjaWho4LHHHmPgwIFSedzsQtM0fD4f5eXljBo1ikgkgs/nO2Jiqmkafr8f0zQpKytD13U++eQTRo4ciap+I6ZJBw7+ITF58mRH/1PA0f/kcPQ/s/Yc/XfgwMHXASf+Tw1H/5PD0f/M2nP034GD3vGNSPMyYMAAzjnxHAoLC8nKymL//v0UFxdjmiYFBQVce+215OXloWkakyZN4lvf+pZUYYjDgRAiIdw///nPyc/Pp6ioiLy8PHRdJxwOU1RURFVVFcOGDfsyGyEEI0cORlVVpk4dS79+uUydegya5mLPnloqKgYd/P2H5ooDKCkp4ZhjjmHatGlkZ2dTW1tLRUVFkocJ8YXPcnNzmTJlCqqqkpeXR319PeXl5UkfQnp+lp2dzQ9/+ENcLhf/P3tnHidVca7/b53ee3ZmYdFBViOo7DvILiq44oKaRJMYl0QTL8nVqOR3jcmNMdFcEpNct2sMuIArLoiiKIgiKpuAuDDDMgzb7FtPb2ep3x89PQzQM3OqmUGM/fhR8HQ//dZ5T1W99VTVeSsrK4sDBw4cxZMJeKeccgonn3wyAwcOpLq6mry8PCorKw87EEC2uMc41+l0Mm7cOIQQ5OTkUFJSwujRo9stp9vt5uKLL6auro5+/foRDoebX7VqbaCVzAAszsnKymLKlClYlsW+ffuYMGECpaWldOnSBYfD0W55Ve35fD7OOeccXC4XxcXF9O3bF4/Hw/jx4/F6vc3fO/JP1TK0fA6zZs3C6/VSVFTEWWedRU1NDUKIhPfXXh681v4//ndN07jgggvw+XwUFRVx0kknkZ6ezrRp0w67p0TcdtHiay05F1xwAV5v7CTyoUOHNu8y6Iz6ovrd48Fr7TdO5IdbmAAAIABJREFUZF573I7wRQpfH4QQXHXVVXz55ZcnZPyHQ/VKNf7Hearxv2U9thv/j+wr7cb/I3m24n+CmNPZ8f/IcqrE/47oe1Tif0fY66j4b9deR8b/1my0/Ltq/O+I+KgS/0/k+PhNi/9Htt3OspeK/99EiBNa/7eEuv7nOOr/w+t/Z+r/RDw78T8RV0X/t+Sl9L/9+G/ns38n/d8R8V/VZjLf/9bof2mTl+ArJ1L8F+0ZEEJ4gdWAh9jk+wtSyruFEL2BxUAusAH4vpQyKoTwAAuB4UAVMEdKubstGyNGjJDr1yc+PX7OI2sBePbGsfbvqhOx5LYFAFxy/7XccccdlJWVKeeL+vDDD/jVz8IIIVi93t5p3lJKXn75Xfy/GYbD4WD6xj627d0QOBNNEzzs36JUzvddwxFCMCGa+Nm0huGRfgghWO8uUuKNG/IWAB9+OkOJ99aQYgBmfNpPiXfgwAHq6+v5S88rAHjIt7ldzhrPSEzTJLj0Xs4991wle/EDLX502mUArHN91S5n4oh3MU2T2+5u5KKLLlIaJNbX11NcXMywYcOO+mzFsJ0ACevR559/ztatW7n88suVVmVDoRBbt25l1KhRCT//SShW14/0886dO1mzZg1XXnklLpfLtr1oNMqGDRuwJv8cgPGR9l/vHKl/B0ta3PL0XVx11VXNwdMOTNPk448/5o6fxw4kWb1+arucFcN2IqWk5OaVXHnllaSnp9u2Z1kWNzaeidPptFU346ivr2dD1lm4XC6lthsOhxltDcDpdLJBoe2GQiGmjH4Pp8vJBxum2+YBLB9chKZpnL3J/qt00WiURYsW8eFlf0bTRELfxE+Fb7kbyLIsnn/+ee69915+8IMfKJUzDiHEBinliKTI30B83fH/RMZd//EHMqP5FNSrCfc+E9cgs/ZQ5VTbKZX2lZdCo5qI7lHiOTfXEalzsN9pv28FqPN0I+D1E/LlKfF6jPkSX14YU3EXUdpX7uTub0sdkVr1++vT/XKcmYUEPfZjAMDDk4PsdOcS1SJKPKPmDVyREk4KlivxTv90NJ5wCM1IPPHQGnqM/QpfbhDTrebP+HMI624E9ut2ec3Z1ER6Eg6pPXfLstAKDRodASyFTW6vi+6UST8Bj9r9WVJy02fz6VMVwCXbP8wujj7dL8eZUUhQYcwAsbH7Y93L2BXOYqej/d2fcUxr3ENBJJs+5Y2g8ByQkj6TPmzqY1QOpJM8VFlAUKvnFKNCgXcMdTSpviL5cjo0i0LTxX0/VdNCcaTi//GN/+WPxJ5TwY2DOuR+OhJ33HEH73AmAmFLe8Tx4Ycf8PMRP0QIwTrXh7Y4cf3/wG9jk7N2tEccyYyxAW5sPBMQPJJ2fOYNhoZi5dvkazttzJHYuXMn11y+E01oSn6J6//Sq2LjBjtzKj8JDcYwTC5d80DS+r9+xI8A+3rVNE3+680HOlT/Q2xuAY7WsZ2l/1ubczhW/b9wyE2A/fkbKSVFj9yctP4fM2YMo81YKic7czhnDX8HXddZ8eEEZf3/1pBiHE4nZyvM99XX1zNXjsblcinN+YXDYdb6R+Nyqs0bhEIhxlgDcbmcynN+44e+jebQeH/9tHa/+864cwA4a9VrLFq0iMmTJ7d7dkJLdLb+t7MzPQJMlVIGhBAu4AMhxBvAL4D5UsrFQoiHgeuAh5r+rJFS9hNCXAn8EZiTVMlPcDgcDoYPH97m4RuJUFpaisO5AyE0Jky42BZHSsmqVZ9haBoOp5MJEybYtudZGXstSoUD8PEmM8YbpcYz369Jyp4Mvp0Ub2V0T1K8OJwK/vl4k4klLQoKCpK2p+Ifh7EaKSVdunRhwoQJHbbjoi2fGYZBSUkJ48ePV36F6+yzz271s9b87PP52LRpE+PGjcOjKIynTp3Kn+P1dGT7/jTfr8G0TLxeL2PGjFEKbgCTJk3CYdwbs2fj+a2M7sGyLDweD6NGjaJLly62bVmWhXirAYdDrb1XVFSwsSi2Y0CF19jYiFxTq8yLvT75njIPkmu74XCYV155BYdDa9Xmzp2xgdvQoUObr5mmyfLly5XKl0Iq/reGsMfAJ6Xy4VJuTcMQGk7Fyd+g4Ue36nE41fpkoQmEEDgdauUUmhbjKd6fEE32FMuZ9P2J5O6P5nKq8UxXI1LLVOclac9tpOGwTByqzwEQQkv6OTgdTqU5XIRAaOrP3TTBpWmEhIbmtC/ehSXQknl+pommBUHoODUFbvP9qdmzLAvpCiB0rxrXGcTS/crPQVqyRR9j/1lICQE9Dd0VUSqnlDL5OppMX5FkOUEiTAOvpbYI9i1HKv63AofDgUM60DTNlvaII6b/nWhJ6H9Ns5T1f7L62H2c5w1C7xxMyt6ECRNwKWiyI/G76DO2uc6VISxLHpP+V9WrnaH/ITa3AEffd2fp/9bq4bHqf+X5G8s6Jv0PinM40VXohp6U/n87uAOnoq6uqKiAT4TyvEFjYyMfbZbJ6f+19Unpf1crdTAR1mfEDpUeN24cr7zyCqeffnq7By23RGfr/3ZHIjK2dT3Q9L+upn8lMBW4uun6AuA3xILpRU1/B3gB+LsQQsh/w3fshBB06dKF/Px82xwpJT6fDyFiQsAu17Is3G43piIvVs69AEqcGK8sKV6ZqFXmSSmp3BMLFHl5eUpBQ9svlO21hIp/hChDEMuRplrOOFT8U39QgIi9tpaXl9dh+bva8llGRgZOp5O8vLwOPYW8NT9nZmY221NZKT70u/braZmobX41LTc3l8zMTGV79Qft1zdtv0AKgaZpyn2FaZoI0YDQ1Nq7aZpACKHYT3i9XiqpRaDGc7lchKpRtgfJtd1gMIjD4WgS4lpCbmlp6VG/axiG0s6HFFLxvy1s7PUOaWlpTOr1K9scKSW5z0icrslwRU/bPMuy+GVDKQ6HgwdmnqxW0CmxP1R7OvWeMXlIKfllY6zN/nlmoVpcTfL+ahW/H8f5e36LlJL8nv9QK2f3HyZlb+/mbZhuk8I5ZxyX/J23hfah6zoPzDxZKf6nNf2rig8//JALivLw+bux9/K2cwS3xJlJ2ALYunUrD56dg9/n468n3Wqbl2x92blzJ9N5Bt9JfrK7z7fNu3X/WqKRCJO7/0xpXHTw4EEy3xyNzzcZ5tjvYxoaGojuqsTj8XDDuT1s82pra6lx7sab7qX7pafZ5iWLYDBIdFeZcjkNwyDjxSspPNl+Hfu2IxX/W0dMw2tK4964/teaFpFU9b8QEWX9n6w+Pp7zBlJKSonxktHVKprsSKj4R4i9CMEx6X91vdrx+h9a91ln6f/W/Hzs+l9x/uYY9T+ozeHUNt13Uvp/T+saty0e1CWl/6ESUGtHLpeLGuqT0v8q7dZlxrR7bm5uc5opFXudrf/bTfMCIIRwEHuVqx/wD+B+4CMpZb+mzwuBN6SUZwghPgPOlVLubfpsBzBaSll5xG/eANwA0LNnz+ElJSUJbU+672qivjJ6KbyO2Zn4XtktdJUZuH1ewuFQbPeoYodqmiYLc3exO5KFO2T/NUxdNyj0+MmPZJNfZ9rmDR69CiurlKJMtXI+u9tLSGugW2WVEu/6htvpKjMwsZR4T2QXszuchTus9qy7aS5lnxyCZPDo92z759ndXkKigbyysqQDjYp/nsguZnckC1Ffh8vlRG2rWCwLbaJXtdvymWWZmKaVZMcjWy1ja/XQsixM00y6o1Opp3Hfh6IR3O7k7MWfiTvUfj2N+zmrMoTb5ULt+SXXdiWS53b7lNuuBG44lrZr0yctkVzblei6zogJH7bqmww9Ql1jLltWHQq2lmXx6quvct9996XSvCjg64z/JzKW/+JZckUa0qxX4sVTPuxQSPkAcOPW/4mlprDU2lidrzsBj4+QL1eJZ+V3QXr9eF1qu3deFz0ox0+9YnqR431/PcZux5cbwlSMA2lfeZrToKigomYGNdGehBsV487JOo2OAKYmURlqHu/n0KfH5Tgze9KomN5HWpJHp4XZ6c4lopA6x0wybY5lWZy5ZWxTWhKfbV6y9UVakoeruyqnJfnenjvpJjOQYZVULYCEx3ok0cdIyfRgaSy1TJl9mxIQTXXUcqjNmSZVR5MsJ4DbMsiK7uOCF3+nxIsjFf+Pb/z/z989jr8xE7fP/qLJ8UIoHObsXk9B1h6MwD7bPNM0+KM8g0ZHAz6bh0VKwNAN5h38Cd2sdHKx34/cm1XPrkgW9YqrgWemmeRHssGpFldn9H5a2ScA9xqnNflETcdLJL8qvV7ZL812FfwT94khM3Gq6tWmubYZfZ6x7Z+4T5yhME6XUyntmkSCpNX5qdtLf5zQZ8eqx1tDa34+Vnsq9TReN4PVu5r0v+piSGx+Q6Wuxv3cRZYrzxUm03allAxKt9TbrpRKdbMl715zQFJtt7U6mAgNppcqWcXCmq289NJLjBs3jsJC+wvjna3/bc0GSilNYIgQIhtYAhzz9gMp5aPAoxDLmdba98JON4bmgmTmSTsBLiMNTcTFQuyUY02orRZGohEsdxBp+PHYHJhLmlacHCGkSMOjkOfTIwQGQvkVmkYjDd0ZVua5amI+cnrVBtaHfKJ4YrMMKvsEYv60LEvJP3GfaA5N2S+macaChmHfP3GfODQNt9uj1PVb0kLXjcT+bMNnum4gZRS3x61oT6JHo3g8iZ9fa342DKPFzguFwYKURCIRpXoar5tCRGP2lAYnEImE1eppk58FApfLjaap2Uum7VqWlVTblVIq1c2WvOPZdqWM1Zm2fOOMhPBgccsttzRfMwyDdevs57ZMIYavM/6fyHDKNByaB4diHIinfPC41RZj46kp3Ir2ICao3IqTqmFEUjz0mD3VvuB4359o+o8qL54GxaPqFyEgiXGY1ExCQsPpUUyhYQiQJP8c3G6UZu+FAKTy/RmGEUud48jE47Jf1lBTLHUr3p9pms1pSVwKz1ATLe3Z94tlmc1pSVTK6jbS0YQHp9tQTvNyqI+xb09KCdFYahnVcQPxOqrYp8X6Ck2tnJBcOQGCBpZ5/A+n/Cbj64z/Og1YUj0eHA8IwK05MIUDRyuaJxEiEUkg7EcXYbLcduuixDJNXEY6Ag8er4IecAfB9OPxqC2KC60chE85fiTjE6CFT9RSixiGkZRfDNNAWlLJP3GfODSHsl9My8Q0TCX/xH3i1qLK4w1LWhi60WrMac1nuqHHUncpzzdIotEIHo83Ia81Px+r/hdawHY9jfs+Nl5UtQeRSASPx61UV+N+dnvU5golybVdy7IQWqVy25VSJtV2pZQE6pNruyrttr5RoFmCG2+8kZUrV3LhhRcyfvx427Y6W/8rjXyklLVCiJXAWCBbCOGUUhrAyUB8KWMfUAjsFUI4gSxiB5EkhV4ZNwKw6AQ6gLRR1nHJ3ddy9913873vfY/+/fvb5ksp+fWv7+Tinm+jaRrnzn7YFs80LWbO/DkfX9MNt8fDussW27ZZ9JMILpeLiQ9eZZsD8OiKZ3FpGs/+7nIl3rO3Pkqd5uDyP11nmyOl5Lxn7kAiueTqzUqd3JBnLkUI2HTVi0rlXLlyJcXFxRRui+X5mji//dR+/1q9BBEOk7V3GQsXLlQq56ZNm1ixYgWN1MXq0G+vbZcz+6V7iEQiPPpUD5599VWlHGbFxcUsXLiQe+6556hyjnzhSoCE9WjBggU88shjrFq1Skn8HTx4kPvvv58HHnggoV9K58b+PNLPS5cu5c477+Sjjz5qPjjSDurq6pg3bx6+/Gn4gGfvvqRdzpLbFlBnVHHHK/eybt06pRxmoVCIuXPncsnoTQgE587+qF3OyBeuxDJNyv/zI9auXcvJJ9tP0WAYBjtuCeHz+pj4F/tpJ0tKSvj7slWkp6fz7D2X2uZVV1fz2l1PU+fzK7XdiooKpr/+n/gL/Zx/uf2DS6SUDHrqYjweD+uveM42r6GhgVGjRjE749e4nM6E7faJJ55AA84444zma7qu4/erHZCWwiF8HfH/RMYWI0rX3Byu/nXreSKPhJSSmYt+i8ftZOZlj9rmmabFmU/l4nK62PzdJUrlvO+++5g5cyaDBqkd4vb444/Tq1cvpk1r/3CglhAPP8zAgT2ZOHGibU6sL/g7UsLW77+sFFcXL15Mjt/PhRdeqFTOePy//srrlXijP1yEZVl8ct/VSuU0Nm3isxUruO22m5TsFf90IYbhov9D1yrF/7Pj8f+2o+N/WxjyzENEolE2X/1ScvH/vsTxvzUsXbqUmRWPkJ6RznmzP7bNq6ubyrx58/jrX/+q5Jc1a9ZQvHEjGTkZzH7gB7Z58fj/4IMPKvnls88+I7p6A+np6SxUiMdLbltAZfAAF/3xGqVxUUlJCWev/C/SeqYx6zL74rG6uppxL/8Fv9/PvVe+YJtXUVFB+R2v4E/rTu/fX90+oQlSSnbfcQc/+9nPlMZFDQ0NjHzhL/i8Pu69yn45dV3n9aHD6KZ4xlUKMXwd8b9+5GbqgSfOfeLYCt8JuPvuu+nx2TQcmkahDe0Ih/S/xzkMn6bx1t29bfHi+r/qO+UEPB6G2tCOccxaNASX08Wsy9UmkgY/MxtN09ik0BcAFP+0BIfDQe+/qfUF3LkIF7D8D1cpx/+aaCUBl0vJL/H4f2nu6wC29Vw4FGbIWxlJ6//Cz2PjRTt1xnfPErRIhMzNT/JqB+p/iMWXABzls5j+fzwp/f+3NuL/pS+NAY72c1z/v5ek/v94cOylFztzYqVzD2AYJtOX/T/WrXsvKf3/4IMP4vvD6/iAt2zMObzwi3+yv7GRaf/vEnoo6v/znh2Gz+dTGheVlJRwzjs/IS0tjQ1znrfNq66u5sBtY/D7pyq13YqKCvQ/LiPNn8Zbv73MNk9KyaKfP0K928PQ37afAvG9e+4AYOaAAXg8Hnr16nWYvm8Pna3/210mEULkN61II4TwAWcDXwArgbjnrgVeafr7q03/T9Pn7x57vjRJcXExe/fuxc5PRaNRDhw40Op3q6qqCAQCCT9LuoRSEggEME2TyspKAoEAUkoaGhowDIOysjIikdZfYTUMk1AoQn19I1VVdei6QXl5Dbre9mtgUkoqKyuprKwkGo1SXl6OYePVMSllLNdhTU0zL5Zryd69NjY2ous6FRUVtniGYRCJRAgGg82cqqoqgsFgm89U13Wi0SjRaJTKykosy0LX9TZ9CbHdR+FwmHA4TEVFBZZlEY1G0XXd1j2qQEpJfX09VVVVRKPRw+4vXg862l4gEKCyshIpZbMPa2pqqK+v7xR7jY2NzX4MhWLpjeLXOyMdYigUaq6T4XAY0zSpra2lrKwMy1JLQWIHkUiEsrIydF2nqqqKcDhMIBCgqqqqU+7vmwJd15v7rvr6eurr6wmFQs11IYV/b5wI8d80zVT8b8NuKv4fjVT871h7qfj/7UQq/n+7cSLEfylT+r8tu6n4fzRS8b9j7aXi/7cTqfhvH3Z2pncHFjTlTdOA56SUS4UQnwOLhRD/DWwCHm/6/uPAk0KIYqAauPJYC1lRUclTT71FMBjk+9//PtFolK5du7Jv3z4GDBjAjh07yMzMpLGxkZqaGvLz85k/fz7XX389BQUFZGZm0tDQQDgcpq6ujo0bNwIwffp0+vbt2yEnJH/55Zf88Y9/5JZbbuH5559HCMG0adNYsmQJl1xyCStXrqRbt2787Gc/O4orpeTttz8mGAwTCkUwDIP8/BxCoTCZmenMmDGmVbuNjY3885//ZNSoUc0Vffjw4fTr16/N8obDYV577TUikdirpx6Ph1GjRtG7d9sr5VJKvvrqK5YvX87pp59OVVUVhYWFjBs3rlWOruv885//ZMCAAZSXl6PrOhkZGVRVVdGtWzdmzJjRKu+xxx5j6NChVFZW0tDQwMCBA9m+fTv5+flMmTIlIc80TRYtWkROTg5CCKqqqjjjjDNYvnw5F198Maed1rGHJBmGwauvvoqu6zidTlwuF5mZmezfvx8pJdddd12HnsIdz/1kmia9e/dm+fLl3HrrrbzzzjvU1tZy3XXXdejBIQDLli3DMAx69OjB22+/za9+9SvKy8tZsmQJv/zlLzvUlpSS5cuXo+s6OTk5rF69mltuuYVnn32WU045hXPPPVf51e72sHLlShobG2lsbMTlcmGaZvPga/bs2UkfbvtNx7p165oHGaFQiGg0isvlwrIszjrrLKW3clL4RuJrjf9SSl544QW++OKLVPxPgFT8Pxqp+J+K/6pIxf/ESMX/bz1OAP1fwVMfP5WK/wmQiv9HIxX/U/FfFan4nxip+G8f7bY4KeUWYGiC6zuBUQmuhwG1vCDtoLaulsuuvYyXX36ZDz74gC+++AKHw0EgECA/P589e/bgcDgIhUIMHTqULl26UF9fz4svvkggEGD27NmsW7eOvXv3EgwG6datG16vl8cff5x77723Q8rYt29f0tPTm4PDhg0bGDJkCC+++CLDhg1rXkVMhJKSA2zbtoP8/BxGjz6DtWu3MmrU6axevZFIJNqmXV3X6d69O0VFRRQXF3PyySfbWnX3eDwMGTKE9evX8+mnn9K7d29bvEAgwIoVK4hGo+zevZuZM2fy0Udtvx7ldDoZM2YMdXV1jB49mnfffZf9+/dTUVHR5qETcV58JWzq1KksWbKEaDSK0+lESpkwSGmaxpgxYygqKmL8+PEsWLAAp9PJqFGjOmU1zeFwMGLECNauXUttbS2XXHIJy5YtY//+/WRmZnb4yqamaYwePZrVq1dz6qmnUlRUhN/vZ/Dgwbzyyiudco+jR49m5cqV9O3bl9LSUhobG1m+fDmGYRCNRpXzpLaHUaNG8e6779K7d29qa2vRdZ3c3FzKy8upq6vr8OA2bNgw3n33XQKBANOmTeP999+npqaGUChke8fGvyNOP/10Kioq0DSNvLw8otEoX3zxBYZh2NoBk8I3G193/JdS8v7773PTTTel4n8CpOJ/Kv6n4v+xIxX/EyMV/7/d+LrjP8TSOVx2WUr/J0Iq/qfifyr+HztS8T8xUvHfPtROzvyakJmRydNPP01RURE1NTUMGTKEzMxMevXqRf/+/UlPT2f06NF07dqVMWPG4HQ6cTqdhEIhMjIy+OCDD2hsbGTAgAGEQiEaGxsZO3Ysublqp1S3BZfLRVpaGnv27OHPf/4zPXv2xOv14vP5eP/993nxxRc56aSTEnI9Hjc9e3ajoqKGhQuX0q1bLuvXf0FOTibRaNsVNraKnY+maQwYMIBTTjmFxsb2T7ivr69n0aJFFBYWMmjQIHr27GmLp2ka/fv3p7GxEa/XyyeffNJuxyaEwO/3o2kaTz/9NOnp6Zx22ml85zvfafO1qzjP6XTi9XrZuHEjffr0oUePHm2+ziSEwOfz4XQ6effdd+nTpw/BYJC0tDQ0reOrfDgc5qmnnqJ79+5kZWWxfv16/H4/p556Kn6/v8M7HV3XefLJJ8nLy8Pn8+H3+6mqquLLL78kNze3w19lsyyLp59+moyMDNLS0khLS0MIQf/+/QkGg0SjbQ/4VCGl5Nlnn8XpdJKZmUlaWhpSSjIzM/H7/R1+f1LK5kFa//792bhxIy6Xi4yMDPr160d9fX2H2vsm4Z133mHfvn3069ePffv2UVtbS0ZGBoMGDaKuru7rLl4K/+YQQjBy5MhU/G8FqfifmJeK/x2HVPxPxf9U/E/h60JGZkYq/reCVPxPzEvF/45DKv6n4n8q/rePjn0XpJNQUFDAdyd8l8zMTNLT05sPYSgtLaVfv36MHTuW7OxsNE0jPT2dYcOGMWXKlOZV29LSUrp27Uo0GmXSpEl0794dr9fL8OHDj7lspmk2d5Zz587F6/Uyf/58PB4PHo+H22+/HafTyYABA8jMzMQ0TaSUSEAiMQyT/PwcLrpoEsFghOrqOqSU5OZmsXdvOSNHDsQwzOYcVfHwEbeZnZ1Nnz59OPPMM0lPT6ekpIRTTz01QQcuD7vm9Xr50Y9+hBCCoUOHsn//fvr375+w4295zePxMG3aNEaNGoXL5WLPnj307dv3sO8cWUaAk08+mW7dulFYWEg0GqWgoIC9e/fStWvX5pW/+N21XAk85ZRTME2T0047jf3799O3b19M08Q0Yz6JrcJKJOIwe3l5eYwePbo5H1yfPn0wDAOHw9H8vUP8o8vbHqSUzeV0OBz88Ic/RErJqFGjOHjwIL1792bPnj2kpaU124yXWcWejP/TZC++Gn/NNddgmiYOh4NzzjkHv9/PGWec0Vzv4idkW5bV5spqojLE61q8bkspueqqq9B1HZfLxdSpU/H7/UyZMoURI0bg8/kOu7/2VnKPtBm/r5Zt6dJLLyUcDuPxeBg/fjwej4dBgwah6zr5+flJ+7PJqUfZO//882lsbGxe/e7RowfBYJDa2lp69+7dbC8+gJNHtCc7aGnP7vfjjUmZhzovkS/Hjx9PXV0d2dnZzJgxo/mV0P379zf3M8naa4mk7q8N38SfU8vPWj6/FL4ZEELw3e9+ly+//PKEi/9nDHsFkbmf15fF6thZZ0mqaz7mJz+VwEOsfv8Rpk2TIDZx7Q8kDQ13s+wNwd8bTiGo1fP8vw4/5FfmguwiWXxgI0IILMtC0zSW/utpAK5aOwxPOMQ/Vt5yGM+yTEAghKDestijaXz6xKLmz7UMH28ufpGPXlt9yBaSnr5uFH/0OUII9pfWcVDbw5Z3Dh0g/GrvAipDYf6w+tXDb9wHTBnKB8T6DE3WQIvvNOZ8hKvkOfr+65AIkchYv1sg+aJOIuo1LGmhCY1VC/4GwBVrB+EJh/jf1YdehW/ZXi3LwuHQiF966INYWYMZPqTXz8Gte1p6M9Y9SLCkxV5tZ/Mnq1kBwIvRHMpkHn/587uo4Jqd/0efqgBvnf/X5mvjLQu54U0KhEBKiU/TsCyLHCFY9do/AejR5QLOzyhk250vK9mbf47OTncu2prXD93d5CGsxuSvG99YE6/8AAAgAElEQVSFbl4e27UJKxtEdh6LN7wT88vBJTj77eZHC0Yq2bu06Tk8+v7c5p1/6ZbFvqJSnn499tsvNP1ZICUL594JQO7QzUwYGWTZG1OV7BmmQfq+PAqNarZ9MQGAs6VEFknKd/ydnkDdRuglY2Ohml3/Sw1QenAS46Kn89xN7R88dpg9w8QscLLPUcGjv/87AFJaBGWYnaV1ze0OKamrqGDVruWs4i1e0rtwsGAGQx98HxRe27dMk7PcQQoa3Cy6/mnbvO4j3yM7aw8rVz2nYg7Lsngk0o+gXs8L/xphmyel5IGiuXSTGWzbHKuj/aWgv+yG2LOLseQBIMjG2muiaQfZ9srLWNLirxcKdrr9aEf2Fe0gMLSMj1ZeSx/TvjCXUvLA9qZybrHfliSSU6b+ioZIuVIZU/h60bWgK98dfmLq//gY1DRNJf0fh6r+P8RT1f+Hj4Vt63+prv/jRFX9H4eq/rcsq3lXaNymiv6PzzuciPr/SHsdrf8TlaOz9H9rfj5m/S8BkZw/k9H/yerdpPQ/HNUG7fASzcG1hxNd/8f7v7g9y7LU/dKJ+v8bMZkuhEh4amtWVhZAwhxY8c8g9qpCHD169Gj+u8rJwYkQDoeZN28emZmZSryNGzcwfKCFQHD99X+0xZFSsm3bLjL1XCzT5Prrr7dt73bnBExFDoCePw1AmTfVNwIDQ5l33mQjKXvRyXpSvJqaGoLBIJN7X2WbH+w6HdMwWbt2LT/+8Y+VcqE1NDRQXV3NyQMut23vgmkhTMtky5Yt3HDDDUr2gsEgBw4cSGgnNCXYahmKi4vZsWMHN910k9JKfiQSYc+ePa365Q73xIQ2S0tL2bdvHzfffLNSrjfDMNixYwf6xPGt3suRmO4fhZQWFRUV3HrrrUqvp5mmSVFREeecFbJtLzQldjhMdXU1t912m1KfY1kWt7vOIhQKKtXtQCCALJxFKBxS4kUiEWakjyESCSvxwuEwF8+QhMMR5TZoTjIJhdTs6brOgQMHiEQi6Ho0Ibdr167A4c/Isix27NihVL4Uvn44nc4TMv57cWBKQU0wpMQL6N3QXRGCwbYP0ToSbiMNh2USDAaVeKR7kZYkGFLjSWKiKqRoT0pi9hR5yd6fTPfGDuJSvT8tG1C/P00LgogSDOqgMMkppUyqnKarEallEgqqvW5sWRIpSfo5hEJq9TrHskBKgortQVoWppGLbtVjRu1zZZOQVrYnLbyaRkhoSs/C0rKREmW/SCnBGcTS/bE6YxNuTcMQGqFQA4oVjYDeo6mPUZs4dhvpaMJDMFqtYC/5OiqJxWX1OppEOQEHYGkdl784hc7Hiaz/w+EwQqhpz40bN+A+90wQKOv/aN+ospafNcVITv9PjjbNUajxbneehWGo63EjN5YDXZVXVlbG1b3OR9d1JW5c/990jZqeM81j0/8X9/++bXvBrtOxTKvD9T/EtHCicnSW/r9gWmI/H6v+D43JS/i7iXCHeyKWlMek/2+66SaC3WfYtjnNNxIpZVL6f9ZUg1BITccHAgHkuZJwWE1XRyIR7vJOJpyE/pfdz1G2BzDVO4KwZe/+eodrAVh6yy0cOHCA+fPn89xzz9m21dn6/xsxmX6iwuVyMWvWrMMCtB2Ew2Fczq8QmmDOHHuVz7Istm4tIaLFDriYM2eObXuepVUAzJltnwOwfU1DjKdgC6Bh+d4Y70I1XmPFemQS9j6t+b+YPUVeHK64fy5pn799TQNRGaVXr15ceWVyZ+s0++eC9u3p9VtAjw0C58yZ02EHmbTlsxUrVlBVVcUVV1zRvAukI9Canz/55BOKi4u57LLLksq99juFetqwfC+maZGens7s2bNJT09XtqfXz7Nt79Oa/8OyLPx+PxdddJHSq6WWZeF4+WCsvduom3GUl5czf7PE5VTrJwKBAI1v78epyKuvr0cGP8XldB6XthsKhVi9ejVOpxOHw5HQN9u2bQNg8uTJzddM02T9+vVHfTeFFJKB56uL8Pq8hEer7XawSqvwOJ388Kys9r8c51gWlVt24vQ56HJ+24eEdRQOTVFkqxGzk4uLlZ/tBA/kXdgnKb4qkj2G7Jc985HS4n+63dL+l1tgf5L2Lqi6D9M0Sc9/QC3+J/kcqr/YjeHSyb2gT4fG/9bwySefsKT+FHxeH/81wf7GFAF0ScLe559/zphtGfh9Xdl+fp5tXrL1paSkhP9xrsDn83Fflxts87otnUI0GqFmVq7SuKi8vJzoLonX61XqYwKBAAc276Ha4yV7Zk/bvPr6es4tfwivx4sn5w+2eUBSdTQUCnFgcylVHjc5M0+xzTNNk5UP/Q+FhYVMVraaQgqHw+Vy4XI5EUJTGp+Hw2F2O11omqas/50OR0wP2NCOcej1W4Djp6uTnW/Y+m5lUvZATVMfCVU9J49R/6vON+joHa7/oXWfdZb+b60eHqv+v1OhnrqWVmFZ5jHpf1Cbc6h7Yw+GaSSl/4NVG5Xn+8rLy9miL8KpyAsEAvBGTUzHK7Td+vp6vvw4hDMJ/a/Sbne98RIAZ04+j9WrVzNp0iSlt4s6W/+nJtOPER6PB5/Pp8RxOp0gQCBsc2OvODsQIvaGqYrNeP+rWk5oSIrX0LSLRpXXSEwgqfJEbMEqiftr4iv5J+YTh8ORtD0V/xj1se9qmobP5+uwYNqWz9xuN5qm4fV6O/RU8Nb83NKe1+tN4pft19OGWMNDCNGc01AV8Wdihytqaban2lc0vz4l7PcTQJMPQ7bLGIdhGMSzJqrwotEooSCg2C9B8m1XCNFmXxgfBLb8zDCMTsmZmMK3F7F+2a3ME4pt2rKsps2parxvIk74+xOAPH7ljO/Z7cj43xZE0387Ov63Brc71n5U20SyOCTYj6M9E+U4Hn/UquOib1L8Txb1qOkniN2fUNnhn0IK7UIo63Gn09ncj6vq/1jvrFjvFfRKSyQ/Nk+OR9LzFMnPOUByeu5Y9H8y8w0drf9jv5z4vjtL/7fm52PV/yr1VDSNoY9F/8dgf86hrsnPyej/ECjHVa/XC7r6XFosPsYMqsZ/CCU1flNpt5p2SNMnM5/S2fpfnAg5ZEeMGCFbWzGYdN/VRH1l9JKKrzZ3Er5XdgtdZQZun5dwOIRpWsodnGmaPJm3i92RLFzB9g/9iCGWX73Q4yc/kk1enf1cQUNGv4eVVcp2tWw0PLfbR0hroGtFpRLvhsCv6CozMKTaqdL/yilmdzgLV8iuT2Lo7nAr+wQgnlR1yJjVtv3z3G4fIdFAblkZziRWbSVwo4J//pVTzO5IFqK+LqnAFssmf3T9bMtnlhnLtRZf9FEwFvtPK+2htXoorVgeMmV7AFLyXInfdj2N181QNILL5UTVoJSSBV122G67cT9nVYZwOZ1KuVaRMGRMEm1XwnMlx7PtSv6VY98nLZFU25VgGDojJnzYqm8y9Cj1jbl8uPRQsJVS8vbbb/OnP/2JH/zgB0rljEMIsUFKaT8RbQrtoq34fyLj0r/8jf2hLA4aavtjzw6WUhDJpndZQIknTjZodAQwNbUx29sDT6EyIw2HS83ejTte4bSGXWgBtQOmKmvOoUbvSahRLV4d7/uzat/EFSmhR2OZEu+MzWPwhEMIXU04nDT2K3x5YQyXml/St3spNKoJRV1KvOP9HJZpPSjHT51LbXFJWhY/+fyv9KkK4DTtx4++J12BM7OQRrfabjbLsnhsWoSd7lzCImyfl2R9kVJyzd55dJMZyLD9+3usexm7wlkUawVK9pCSs0N71fsYCX0nr0Vm7aHS0aDESy9Kro5W1JxDrWodTbacgIYgGMjm+z94U4kXRyr+dzzaiv9z/vRflAW7okUV3446DgiFwpzhN8iPZCMd9scAlmlyXv9nIWsPesNe2zzDMLhfnEmjowGvbn+8/Ku919PNSqeLVEv59IfsBnZFsqirVYsDg9IsZZ8AnNPnGWWfxCD5gzlQ2S/xHN537L3Btn/iPqmuNHA4FfV/kxsHpdv3T9wnoZrdSU5sNyUUT4A/mAMS+syyLEzLxOVU68uB5pzuidBaPYznIU9qfkNK7ssJ2K6n8bqpWxlN8w2KEw4yNr+hUlfjfvZEdeW5wuPadqVa3TzEk5zTd1FSbbe1OpgIeaKOwjAc/Pg03njjDUaMGEH37t0Vitm5+v+E35kedroxNFdsZ8cJAJeRhibiYkHg9XqUVzsi4QiWO4g0/Eq72hqDIXCEkCINn9dvm+cRAgOBT3HVr9FIQ3eGlVebXLUxH/nsFxGghU8UVwvNgLJPgKbDNSwl/8R94kxiZdo0TQzTbK5DdvwT94nToeHzeVGZ/LUsi2g0mni1tw2f6XqUaFRXtielRSTSij1ar4eGYRAOh2PXFYKNlJJIJKJUT+N1U9Ni5VQJblLGXtFUqqdNfo6tpHoV+wqZVNu1LCuptiulTKrtSimPa9uVUtLYaLbpG1c0jBfJAw880HxN13WKiorUypdCCq3A46jHLbxN/aQCorH8yT6v2qSjpVmEhIbLqyZyBCCEluTbHwKfV3WHWXI8S2tM8v5EUrtignVxntrzi+cUdyuOpzShxXYZKfolaPjQrXplntCadjEer+egi9iOfa9XaY3a0I2mPPS62s7tpvtT3c1mmiamqxrpyMTnsW8vVB+L3bFxg4o9qznHt8trX8hIVwChe/F51PxpWRL0IJaepvTspZTNedpVeUHDn1wdFbF2oWSPJMsJRCMRSL2d9o2Bx23hiFpItfXc4wIhQGgBED6lGBIJR3BrDkzhwKmg/4NBk0DUjy7CZPvsT924jHQEHnx+xTjgLgPTj8+bocQTWpmyT4AWPlErp67rBCLqfjGbDnZV8U/cJw6HU7mvMy0T0zAQWr1t/8R94nCoj98sy0LXo3g8ie0EahP7TI/qSD2WJkzpqA5LEo1G8XgTL2635mddN7CscBJ6PKb/LXcQYbOexuumEJl4fWr2aNL/Xq9Xqa7G/ZzldTSNWezbS6btWpaVVNuVUiK0cuW2Ky2ZdNttrQ4mgidaRYYTfvb737Nhwwauv/76w9K4tofO1v8n/GR6r4wbAVh049ivuSQxLLltAY2yjkvuvpa7776b733ve/Tv3982X0rJr399Jxf3fBtN0zh39sO2eKZpMXPmz/n4mm64PR7WXbbYts2in4RwuVxMfPAq2xyAR95+Fpemsfh3lyvxnr31Ueo0B5f/5jrbHCkl5z3zKySSS67erNTJDXnmUoSATVe9qFTOlStXUlxcTOG2swGYOL/9vE1PvLcEEQ6TuXcZCxcuVCrnpk2bWLFiBY3UxerQb65tlzP7pd8QiUR49KkeLHr1VaUcZsXFxSxcuJB77r7nqHKOfCGW7y1RPVqwYAGPPPIoq1atan4F2w4OHjzI/fffzwMPJM7tWjo3ttv5SD8vXbqUO++8k48++kjpgI66ujrmzZuHL38aPmDx3Ze0y1ly2wLqjCrueOVe1q1bR5cu9ldgQ6EQc+fO5ZLRmxAIzp39UbuckS9ciWWalP/nR6xdu5aTTz7Ztj3DMNhxSxCf18fEv9jPRVZSUsLfXl9Feno6i++51Davurqa1+56mjqfX6ntVlRUMP31X+Iv9HP+5fZ3GEspGfTUxXg8HtZfYf8gkYaGBkaNGsXsjF/jcjoTttsnnngCAXTr1q35Wvw0+hRS6AhcetJSunbtyoTxL9vmSCkZ9PTfcbsd3HvFXbZ5pmmx/aYtuFz59Pv9NUrlrL3vPmbOnMmgQYOUeI8XV9LwnV6MmjZNiffBww8zcOBAJk6caJsjpaToJwuQeDj1oWuV4mr24sX4LZMLJ12kVM6VKzMpLi5WPjRp0caHsbySq/9+U1Lx/7bbblOyN+bDxRiGwcd/uEop/nvj8f+eo+N/W9hx85NEok76/eP7SvH/4nj8v0ctt/vSpUu5rVsX0tPTWXf5s7Z58fj/19//Vckva9as4bziu8lIz+C8GR/b5oVCM5g7dy4PPvigkl8+++wzNqxbSUN6Opf+6Ye2ebNf+iOhUIhzLl6rNC4qKSnhnHfmk5aWxr1znrfNq66u5sBtEfz+qfT+29W2eRUVFcx4bxlp/jQ++PVltnlSSp684w5+9rNZSuOihoYG9syN4PNNoc/fvmubp+s6v/zlL5V2s6Xw9eLWiTuBnQwf9szXXZSjcPfdd7N04BdoDs22Ho/r/5M+m4KmCQrnf8cWL67/teEXkunxsNyG1olj8c8foc7pYuhvfmSbA3D+4mFomsYFV6i9NTj46dk4HBobr3zBNicW/3cgQTn+L168GOcODZ/LpeSXuP4PyDoCwFAbevzSl8YQCod46atBSev/53pvABJr7yNROnc/kUiEW0ue5dVk9X8r8d93zxJ8cJTPFixYwCMLHuG1Va91qP5fctuChH4+Fv3/3/PmMXvUegTY1uOmYVA3b1PS+v/B3z1I2a9iJ+AU2pgzcv/XC+iNjfxz7jRl/f/cfzxGg8/H0N/8wDavpKSEs1eeR1p6GrMuW2ebV11dzbiXv4ff71dquxUVFZTfMQZ/2lR6P2h/3CClRNy1mHS3m+V25imemAVuaCgowOl0kpOTc5i+bw+drf+/EUv0UlqsXbuWzZs3x3KHHgHDMKirq2Pbtm0YhmKqjw6EaZps376d6upqDMOgrKwMKSUHDx48lP84AaSUNDQECYejHDhQyZ49B4lEouzYsZdQKNKmTSklJSUl7N+/n/r6erZv304k0jYnztu3bx/79u2jurqabdu2EQy2n0onvhrY0NBAeXk5n332Gfv376e9dEFSSkpLS/nqq6+a7TU0tP+KpmVZFBUVsW3bNqqqqigqKiIUCrXLi9usqKggEAiwbds2amtrbfFUIaVE13Vqa2sJBoPs2LGDaDTK7t27KS8vb9c3ydgzTZOamhrC4TA7duwgEolgmiaVlWppPezCsiyqq6uRUlJTU4NpmkSjUerr6zvFnpSSqqoqpJTU1tai6zqGYXTqM6yqqsI0TXbt2kVdXR3l5eXs3r07YZ+TQvswTZOdO3dSVVWl/OwikQi1tbVUVVVRXFz8tfbrKXy9iEQiqfjfBjcV/1u3mYr/HYNU/E9BFan4n0JHwLJS+r8tbir+t24zFf87Bqn4n4Iqvm3x/4TfmQ5w8GAZ66J7qaurIxKJkJWVRTgcxu1288UXX+B2u3nzzTfp06cPoVCInTt3cuqppzJ48ODjcmBTHB988AEvvfQSo0aNwjAMPv/8c+bMmcN9993HY489RlZWVkJeY2OIBx54kiuumM7773+KZVn07BlbcdmypYhLLpnSqs3a2lo2bNhAZWUleXl5eL1eDh482O6usHA4zLp169i/fz8+nw+Px2Nr1cyyLJ588km6devG4MGD2bx5M927d293t4dlWTz//PMMGDCAzz77jIaGBrp27UpGRtuvoUgpCQQCvPPOO5x++ulEo1F27drFjBkz2uXt3buXhx9+mIkTJ1JSUsL5559Pdnbn5N57+eWXiUQiZGRkIIRg06ZNzUHgxhtv7PB6+NZbb7F792769u1LNBpl+/btdOnShY8++ohbb721Q21JKfnggw/45JNPuPrqq5k/fz7z5s3j1VdfbT4Vu6OxYcMGli1bxk9/+lPuv/9+fvGLX7BmzRrq6+uTznfVFj7//HOeeeYZrr76arZv305FRQVSSrKystA0jZ49e3a4zX937N27l/feew/DMCgoKKCyspLrrmt/x7uUktdff/2wQWgkEuH000/vzOKmcAJCSsmCBQsIh8Op+J8AqfjfOi8V/zsGqfifiv/JIBX/Uzh2SMrKDrJzx7pU/E+AVPxvnZeK/x2DVPxPxf9k0OHxvzML2wH4RuxMDzQGmDx5MoFAgA8//JCVK1fy2muv8c477/Dcc8+xZ88eHA4HRUVFLFu2LJau4LXXjns5v/zySyzLYufOnUycOBEhBIMGDSI/P79NXlqajylTRmCaFrW1DdTVBSgtLWP48AE0NrZ9QFJmZiZ5eXnk5+czcuRIKisr6d27d7tldbvdDB48mPr6evLz8/F4PHz55Zft8jRNY9q0abjdbrp3747X62XChAntBgvLsjj11FM5cOAAQghycnLYunVru/YcDge5ubmMHDmSSZMmYRgGuq63yzMMg5deeqm5Qfbo0YNNmza1y0sWkydPxu/3U11dzbBhw6ioqKCsrCyWY7sTVjYnTJhAdnY2ZWVljBgxgt27d7Nq1SoCgYCtnQmqGDVqFAUFBXTv3p3hw4ejaRpTp07F41E7/MsuhgwZQmFhIV26dGHs2FiKp0mTJpGent4p9k477TT69evH/v37GThwYPPp6SUlJVRVVXWKzX93RKNRDhw4QDQa5ayzzmp34BzH9u3b+eKLL6ioqOCMM84gEAikXs3+lkJKyZYtW1LxvxWk4n9ipOJ/xyIV/1NQRSr+p3DMkBAINKbifytIxf/ESMX/jkUq/qegim9b/P9GTKbnZOfw2GOPUVFRgdPpZPPmzVRWVlJQUEB2dnbsEALLIisri+zsbM4880zy8vKOeznPPPPM5kbocrnIzs5G0zRycnLaDDaxQ7BiB5l26ZJFfn4OXbt2YcWKT+jRo+37OHDgAG+++SY+n4/nn38e0zRtvVYUCARYs2YN+fn5BAKB2OGDNvIJCSFwu914vV6qqqrIycmxxTNNk2AwiKZpzc/Lbj6uoqIiBg4cyIcffojT6bSVN0zTNKZPn05eXh7hcBjTNJXyf6lACIHT6cTv95Obm8uqVavo0aMHJ510EmlpaR0eTIUQOBwO/H4/3bt3Z8WKFZx66qlMnTqVzMzMDrXV0l48n1l6ejpCCFwul/qBkzahaVqznbS0NBwOR7OPO9NeYWEha9asITs7G4/HQ15enlKesxQOwTRNCgsL8XhifZvdZ1dQUMDYsWPxer0sXrwYl8uVetXuWwohBNOnT0/F/1aQiv+JkYr/HW8vFf9TUEEq/qdwzBCQk5PS/60hFf8TIxX/O95eKv6noIJvW/z/RqR5ycvL464f3YXP58Pn81FdXU16ejoul4tx48aRn59PXV0dfr+/udENGzbsuJTNNM3mfD4jR45sXk1zuVzcfPPNWJbF7bffjs/na/6elBJJ7FR6w4jlUhs8+FQ0TXDSSflEIjpdumRSUVFDfn4ORtOp03Ee0Pxb+fn5zJ07F03TGD16NIZhkJaWliDHkDzsWlpaGueccw6apuHxeKirq6OgoCBhbqIjr+Xn55Obm4umaYwbN+6ofHBHlhHA6XQybdo0LMvC7/dTU1NzlL343R35e2PHjsXtdjNhwoTm19kOL5NEIo4q53e+8x169+6NEIKqqiry8/MP+45lWYc1UpW8TPG8ZXGkp6czadIkhBBUV1eTn59PVVVVc0diGAamaSrbk/F/muzFB0put5uzzz4bh8NBZWUl+fn5aJrG6aefjsPhwDCM5vtrK19fojLE61rLui2E4LzzzsM0TaZOnYrL5cLr9TJ27Njm78Tvry17iWzG76ulPYBZs2ZhmiYTJkzA6Yx1VVOmTDnKXlv3khCSVu25XC4yMzPJyckhEokQjUbJyclpfn5x/8sj2pMdHGnPzvfjjUmZhzov2bbQmr2+ffuSmZlJWloafr+fqVOntvq7La9nZGRw1llnYRgGoVAI0zRJT08/7LkDbfom/pxafmZXaKRw4kAIwYUXXsjo0aNPuPj/+P4uBCuq6V00oumKxBosqdME/2/FImRXuG7hC8i+kltfegOICeo/fPUfdJMZbNu0u/m30khDAOPkECSgCbCkRPtcsO3t3YBk/vmw052JtvrVw8ohzxnNx0QQw/sigad3bYLdnzZ/fk3mFiJvvMq21w7fOzFEShAgELHDgL4SbHvj0Ocj15UTqXWw/H8S7yiJW3jrz4dfH9flfFxbfWx7o/qw6wOlC8gCEWufmqhg29JDh7fOP89kpzsX7f0jdhU6JXyxFtwgnRKhRXmghQ+uqX6VPiW72Lb1T0eV8RyAz5oOOxKCbZ/c0/xZ5OBE0iM9WfTJ0wnvrzWEukgaHQEeu/cfLa4eGptJKQmKGqwmm/+6/1EAXozmUCb78a8/v6tk75odj9GnKsCKCx887LoXMIFcKTGEoBo4FVj15pMA9Mi9gCvT+/D5Xa8o2Zs/Ixp7Dh8dqrMA5Dl56P3XIEPyl00rY9ecknubnkXw4Ms4Bu/iRwtGKtnTdZ2r1w/HGw7xj+W3NF+XUvK/y99DSsn2Z19pvvaPl5YBkDt0M9MmBHlz+XQle4ZhkrEvn0Kjmm1fTmi+PhAwt8MoKREHROyJSih/9AnKgdKySUy0BvPiT58/zC3twTQtThmzCZm1h9eXLbTN+5+KrgS1el59bqJSmgDLsnig6BexPuZTtcORHzy1gV1hjf0KdVRKi2tLF9KnKsDyWYe3wfymePvxkkdxAcsf+u1hn38353wCf3iHbZmHp8DoChSQxQg5CLbAwa3vU9bkdInkwf7q5QRJY/eZuNI07lRgpfB1QpCXm8tdd52Y+j8+CDUMQ0n/x3hCWf/HoaL/E+lxe/o/Vk5V/R+Phar6P25SVf/HdIt21D12hv6PR/njpf+b7XaS/k9Ujm+e/j+6vrWHY9H/yerrpPQ/gFS3k6jNt4dj0//yqHJ2tP6P1/24XyzLUvdLJ+r/b8RkOnDYNv+Wf4+vGhUUFBz2/c48tTWOcDjMvHnzlFcDN27cwPCBFgLB9df/0RZHSsm2bbvI1HOxTJPrr7/etr3bnRMwFTkAev40AGXeVN8IDAxl3nmTjaTsRSfrSfFqamoIBoNM7n2VbX6w63RMw2Tt2rX8+Mc/VhI5DQ0NVFdXc/KAy23bu2BaCNMy2bJlCzfccIOSvWAwyIEDBxLaCU0JtlqG4uJiduzYwU033YSm2X95JRKJsGfPnlb9cod7YkKbpaWl7Nu3j5tvvrk5aNqBYRjs2LEDfeL4Vu/lSLfRvNAAACAASURBVEz3j0JKi4qKCm699Val19RM06SoqIhzzgrZtheaEkRKSXV1NbfddpvSaeWWZXG76yxCoaBS3Q4EAsjCWYTCISVeJBJhRvoYIpGwEi8cDnPxDEk4HFFug+Ykk1BIzZ6u6xw4cIBIJIKuRxNyu3btChz+jCzLYseOHUrlS+Hrh6ZpJ2T8rzUz0B0RgkG1Q5/cRjqa8BCMBpR4pqsRqWUSCrYtVo6ElBJLWu0eZnYkXDK2iBsMtX8w2ZH2pLSUecdyf1JK2weTxWFZTbygGs+TpxESmrpftGxAErJx0FtLaFoQRJRgUFeaxJWWhCSeX7LPwbIsHBJbB9kdxpMWbiMNzTKVuDnSit2f4vOT0sIwctGtesyofa40LZAQVKxnUkrcmoYhNIJB+20+oHdDd0UIhcrV7CFb9DHV7RMOEZEFAYTuVaqjkngd1QmGomplzYn1TcptKV+9nACW04Whtb+zNYUTCEKckPE/HA4TDocRQiiNXzdu3MA1o7/TxFPT/90G65iWmpaf6h2RlP6fNVVvmqNQnDeYpCMMdf3/nw77Oq4lysrKiJ5xNbqhK3Hj+v/a/pfYtnvBtNjk3rHo/9AP0m3bu8M9EdO0Olz/Q2wuI1E5Okv/T/ePSmjvWPX/9HFqetxqOpg2Wf1/0003cZd3sm2b4YJpSCmT0v/TfCMIhdR0fCAQ4NKZFmFFXR2JRJDTJOGImo4Ph8PM801RnjcAMPKmYlmWLd6vun4FwH/fcgsHDhxg/vz5PPfcc7Ztdbb+/8ZMpp+IcLlczJo1ix49eijxwuEwLudXCE0wZ469ymdZFlu3lhDRnLhcLubMmWPbnmdpLOfTnNn2OQDb18RO21axBdCwfG+Md6Ear7FiPTIJe5/W/F/MniIvDlfcP5e0z9++poGojNKrVy+uvPLKpOw1++eC9u3p9VtAj+V8mzNnTocdZNKWz1asWEFVVRVXXHGFrVfq7KI1P3/yyScUFxdz2WWXJZWD7XcK9bRh+V5M02o+OCWZHGx6/Tzb9j6t+b/m3RgX/X/2zjw+qvL6/+97Z+5klixkD4GEsMqiogiIokDdAXeqVmttreLy1Vpta9WvWrTfr0srrrXfqi1VaEXkVxWtirghtMpmVRBwYQkJhJA9k2S2O/fe5/fHZEaQTHKfIURs59NXW16TOXOee+55nvN8nuWcc84hPz/fth7LsnAs2RPr7zZ8M476+noeXi/QnHLjREdHB4G3duOUlGtra0MEP0FzOvuk74ZCIVauXJm48tmVbTZt2gTEchnGYZomH374oVT70kgjGYzas/F6PFx+rNxV14ZN22lxauRML7MtY1kWMxrvjV3vzd//BHa3GPpDWuQkYug8tCt7kbc2FV3AmQ33IYDMwgfkBFN8PhXIS0Gu4sVahMilapbcvG9kCroAfjGoENM0eajkeqn4vztFfWc3/4ZoNIqv4AG5+N8vtfnQ2rVrKdFy8WR5yD7j4F+p3rx5M3/x5+PxePjVCfYPwiik5i9VVVVkf3AsHs80gmfZTz/hrGvHjES4ZHKW1Lyovr6e3W3VtLg9UmNMR0cHp3QsxN3fTUbufbbl2trauHNALu6MDH6Tf7VtOUhtrAiFQpzqfw5Xfxfu3Ptty5mmydU1TQwoSxeTS+PAoWkaTk1DVVSp+Ws4HEbTNBRF5aLz5Pi/w+GQ5v8yfHNvRNs2xOT6iI87XoxFrIu+K8/jZTjg1yHLx4UuDoj/3yZhnxhnjvY6/4fk6zsHi/8ns/OB8n9ZPm5a5gHxf5BbM/r8H35Mw0yJ/ze/ukO6v9fX16NYG3Fqcny8o6ODf7X9Gackj29ra4Nl/pjcQVxjLNoUq+kw69hZrFy5kqlTp3LMMcfY1nWw+X96Mf0AkZGRIZ03yul0Jq5X25W1LAuHw4GigKIgpTM+/srnt2pPSa698/iUrFyAGGGRlVNaSUlfQl7KPjGbOByOlPXJ2Mdoi303nouvt4JpdzZzuVyoqorb7ZbaKe5RZxI7763P7Xan8Mv2/bQ91vFQFAW3253SO4y/EzuySisJfbJjReKal2J/nAA6bRiy3cY4DMMg0PlvGTld1wkFAclxCVLvu4qidDsWxieBe//NMAypkxZppNET4uOyHBTpGG5ZVmd8lBsLvk1INf73NRQFhOjDdnYOdL0Z/7tDLHIovR7/kyGey1a2T6SKvQl73+mLpvB8sXmN7LzI7XYTP68tHf87kI7juq5DB9CHY1PUH/t/2edTaDtILUrjPxEK8uNWjP/LzQHi/D8OGX2p8nEZnrM3UufjCiBSHENSW6uIScrz8QPh/zL2iXOc3ub/MXRts4PF/5PZ+UD5vywfj/XZ1Pk/yK4ZxYJVqvxfdnxxu92IoDxXMAwD2uTn4LquE3vGVOK//X6rOtTEd1NZTznY/F85FHLIjh8/XiTbMZh6/yXonjoqhNx1voOFS+uup1hk4fK4CYdDmKYlPcCZpslfCirZEclBCwZ6FgDozK9eluGlMNKPAr/9XEFHHbsCK2cnX0rWpli8w0NIbae4Qe4a+1Udt1AssjCEXNGAZ3K3siOcgxaya5MY+jtc0jYBOpPJCY6atNK2fRbv8BBS2smvq8OZwq6tAK6WsM8zuVvZEclBafOnFNhi2eT398/ubGaZsVxr8U0fCWWx/0nSH5L5obBiecik9QEIweIqr20/jftmSI+gaU5kFQohmJ+3zXbfjds5pzGE1jmJtq8MjpqUQt8VsLiqL/uu4Jlc+zbZGyn1XQGGEWX8CR8ktU1WVKctkM8Hr34VbIUQvPXWW/z2t7/lRz/6kVQ741AU5V9CiPE9fzMNu+gu/h/K+O8b7yNbL6TQLzeHGjp1FSKnmkZHu5Rc5pduyoxmQrrcFXbXp+1EWh3UqHLxo81TSofbQ9Bt/zQNwIDjvsBTEMbQ5PT19fMNHXAhzuwyAi6501BPfifEdlc+YSUsJWe1voEWqaI0UCcld/j6SWSEQyhROaLS1++hseV0WqLlhAJy+ixL4Cg3CTg6MFX7fel1tZR6vPg1ucJyQgiu3fQIQ5o6cJr241Wq/iKE4E+l9VSGc9iqFvUs0IlTgzspivRjcJ1cOighYNi0FMYYAU80x/K0l0ftp5YRCI5Yf1yf+ugTTfLtBHA6BGWmxv3/tUFKLo50/O99dBf/19/+LB7TRz+P3LyyLxAOh7gn209lJAd/q/1xyzJNjspWKIz0Qzjs3nWJ8f+ZIxZDTjXR9l229d1njiLgaMcdlePHt+yaTYmVSZ6Q62P39WuXtgnAkT5L0iadEILThz4nbZdOYe4zR9u2T9wmOUZtyqe2ZewTt0lUZKe2sC2S8/HThyzs0mbxXOu9rS+ZH8bzrKeSmkkIwa01V9n207jtmxp0nE4tpfUGFEXKV7+y805kFabSd2Vtso++VPqugCMzU+u7yXywKxg+D9E2LwvfK2fp0qWMHz9+n5RfPTbzIPP/Q/5ketjpwlC1WKWlQwCa4UNV4pN3Bbc7Q3q3IxKOYLmCCMOLx2OfCASCIXCEEIoPj9t+VeMMRcFAwSO56xcwfESdYendJq01ZiOPZOHlr2wiubtldkjbBGI7VUJYUvaJ28SZws60aZoYppnwITv2idvE6VDxeNzIDMaWZaHrete7vd3YLBrV0fWotD4hLCKRJPpI7oeGYRAOh2OfSyw2CyGIRCJSfhr3TVWNtVNmI0yI2BVNKT/ttHNsJ9UtOVaIlPquZVkp9V0hREp9VwjRp31XCEEgYHZrG00P40Ywd+7cxGfRaJQtW7bItS+NNJIgnGHgQeBxy/l8PH+yxy23CBg0vEStNml9Fh0oqvypkba9bvDIIHZrRJFuZ9DwpPZ8SkdMn+zYoygoyD+fqTUi1OzOcUcih6k/fhpRTp/L8OGwTFyS7VQVNXbKuI/eg9IZ22TlYieGIoQUFc1tn1ArUQUEnfMG+/pMw0zk+Ja64anGlMj6i2VZCC2W41tqDq4HsaJe3G6PFAW3hLXXGCMX/zuiPqJaRMpHLSFS9lEUJTY2ybST1NopBAg9gNuSqx2RxjcH3chCEy7g0FtMhxg/U0wvHnfXRbq7QiQSRlH9oHjweGyOdwKCwTAu1YGpOHBKjFsdrV6iSph+HrnlHs3IRCEDj1cyHrvqQNImAIpa12kTuTEkGo2mZJd4kc6OiH37xG2Sysn0eAFKGZ+J28ShqNJxzrIsonqUDHfXm7/JbKZHdaK6jtvj7vIgXlJ9wkLvhv8n80MjahCJRGJykof3wuGwlJ/GfVNRVGn+D4JwOByLxxK+GrezmgL/T6XvCkuk1HdjPF6+7wohUNT6lPquTL9t0TT0DB/33HMP//rXv5g9e/Y+aVx7wsHm/4f8YnpFViwH33NXH/cNtySGl26eT0D4OW/OD5kzZw6XXnopw4cPty0vhOCOO27j3PK3UFWVM85/wpacaVrMmHEDay4rwZWRwbrvLrKtc8u1ITRNY8pjF9uWAXjyrefRVJVF/3OBlNzzP30Kv+rggruusC0jhGD6wlsQCM67ZL3UIHfUwlkoCnx88QtS7Vy+fDlbt26lbNOpAEx5uOe8TU+veAklHCZ71+ssWLBAqp0ff/wxb7/9NgH8MR+664c9ypz/4l1EIhGe+mspz73yitRu+NatW1mwYAF3z7l7v3ZO+Fss31tXfjR//nyefPIp3nvvvcQVbDvYs2cPDzzwAHPnzu3SLjtvip12/rqdX331VW677TZWr14tVaDD7/dz++234yk8GQ+waM55Pcq8dPN8/EYTt758L+vWrSMvz/5OaigU4qabbuK8Yz9GQeGM81f3KDPhb9/DMk3qf7GaVatWJQom2YFhGGy7PojH7WHKI/ZzkVVVVfG7194jMzOTRXfPsi3X3NzM3//7Wfwer1TfbWho4JTXfo63zMuZF9g/YSyE4Mi/nktGRgYfXmi/kEh7ezsTJ07k/Kw70JzOLvvt008/jQKUlJQkPotGo31SmCqN/wx8PPhdiouLufM8+7FYCMHW/zJxuZwMetR+Fm3TtDh25ec4nRqr75LL1Xn//fczY8YMzjjySCm5efPmcVhFBSeffLKU3BNPPMGA0tFMmTLFtowQgmP/+RwAa+67WCquLlq0CK/Xy9lnny3Vznj8nz37fCm5sxeORViC874vN0/5+ONy3n77bW6++WYpfYs+fgojI8rFv7smtfh/9/7xvzsct+p5dF1n1T0XScX/gh7ifzK8+uqrDFmyh8zMgZTfYz/OXdwZ/x+d86iUXd5//32uKMolMyuLDy943rZcPP4/9uvHpOyyceNGTv3wV2QOymTGrLW25Sb87U+EgiFun7VQal5UVVVFx68j+HwnUyEx529ubkZf8Xe8Hi/PSMz5GxoaeH3tInw5Xr77kNyc/9Zbb+Un5/5Eal7U3t7OnPdewuPxSLUzGo3y6c/LKe0vV+sgjW8Ou4pifjH652d8wy3ZH3PmzOHcQa/jUB22uAB8xf/fOGILqqqy7ru32pKL8f/buDJwLRkZGZTZ4KpxqP+9CJ/TybJff9e2DMDzP/0jrarK0RJcAODMRUfjUB2ceaE8FxACPv3BEun4X/LP76BpTim7LF++nG1bt+JpKsADLLPJHxvDIV5vfT9l/j9r8GsAtvljJBKhbKHOKyny/zu74P8AO2+K5aj/us3mz5/Pk/Of7HX+77n7pS7tHOf/y1YvS4n/d3j8dABH21hPmfXiJAzT4KdPt/Bmivz/sd8+xuRXLgO6Xj/5OnbcsItAoIOcu6dL83/uWEy2x2PLN+OoqqrivbWv0Jbp4+i7fmxbrrm5mVP/fgJerxyPb2ho4MS//xCv18dH3/t/tuWEEGy5djsZGRkMerRnTvP0008DsWLTTqeT3Nzcffh9TzjY/P+QX0wHCIWChEIhduzYwZAhQ/YrUiCE4PPPP2fo0KH7dH4hBJs3b8btdmOaJl6vV8qZZSCEoL6+nvz8fEKhEEIIsrKyqKqqorCwkKqqKgYOHEhWVtc7PuGwTjgcIRzWiUajFBXlsWtXPaWlhXg83V8rNQwDv9+Pqqrs3r2bioqKHgclIQQ1NTWoqkp2djb19fWUl5f3eLUnLieEIDc3N6Gvu0E3foLYMAxM06SlpYXy8nI6Ojpwu91JZYWI7QTGT1jv3r2bAQMGUFtb22NHEp0Vm0OhEGVlZbS1teHxeFIqcNEThBDs2bOHSCRCXl4ee/bsoaysjKamJhwOByUlJb2a6yz+bB0dHRQVFSXs0tbWhmmaDBgwoNf1NTc309LSQv/+/amtraV///60trZimiZlZWW9rs/v99PQ0MCgQYOIRqMIIfD5fDQ2NlJQUNDruWPb29upra3dx78cDgdNTU1UVFT0aiGWbwLhcJjq6mpKSkpoaWlJ9IW6uroe+28aaXxTEELw5ZdfUl5eno7/SZCO/13LpuN/7+lLx/90/E8jjW8CwTT/71Z3Ov53LZuO/72nLx3/0/E/je7xrVhM37Onjs8++4x58+bx/e9/n927dzNu3Dg2bdpEYWEhfr+fzz77jBNOOIHq6mpGjhyJYRiEQiFWrlyJw+HA7/dTXl7O8OHDUVWV448/vleT0W/atIm7776b+++/n8cff5yTTjqJUaNGcc0113DZZZclAtcvf/nL/WQtS/Daa//ANC1cLo09e5oYODCWW3HDhi2cd953kuoVQrB69Wo2btxIXl4euq5TWlraYzBtaWlh2bJlOBwOLMsiNzeX5uZmxo/vPh1gMBhk1apV+P3+xEBaW1vL1KlTk8oYhsFTTz3FEUccwe7du9E0jbq6Ol555RWuvvpqysvLu5SLRqM88cQTTJgwgZqaGgzDoKOjg/fff5/p06dTXFycdFDVdZ0lS5aQlZXFxIkTWbRoERdddBHDhg3r9vlSQTQa5R//+AfhcCyHalFREevWrSMQCNC/f39mzJjRq4OxZVmsWLECw4hdjxowYACrV69O6CsuLu71HbgVK1YAsGrVKvr168cnn3wSuyLX0SFdpdoOVq5ciaIoNDQ08OmnnzJ69GhKS0tZsGABc+bM6fVg+sEHHyCEYMWKFQwYMIBdu2I5vPLz88nNzZXawT4UsX79etra2li+fDn9+/dn9+7dlJaW4nA4aGhoYPLkyd90E9NIo0s888wzXHDBBen43wXS8T8d/9Px/8CRjv/p+J/GoYm6PXvS/D8J0vE/Hf/T8f/AkY7/6fh/oDh4pU17EZZl8fLLL7Njxw7WrVvHyy+/zLx581i8eDHr169n8+bNbNu2jXfffZfFixezYcMGnnnmGZYsWcK2bdsSO1u7du3i8ccfZ968eTQ2yhXm6wmjRo2itLSU7OxsJkyYgGEYvPTSS2RmZjJ8+HDy8vIYM2ZMl7JfflnF55/voKnJz7hxI/H7O9i5s45jjhlFINB9kav6+nr++c9/0traSl5eHl6vl88++6zH9sZ3aLdu3cqePXsYO3YsLS0tPcp5PB7KysrIysqirKyMmpoadu7c2a2M0+nk1FNPTexQjx49GtM0mTJlCt0VwNU0jVNOOQVVVSkuLsbj8bB161ZGjhxJTwXr4jnNduzYwaJFi4hEItTW1narL1VomsaIESNwOBxMmTKFhoYGfD4fu3btoqqqCsuSK8TaE1RVZcyYMUSjUaZNm0ZDQwP5+flUVVVRXV1NNBrtVX0ARx55JO3t7Ykr/4qiMHjwYDweD5mZmb2u76ijjqK5uZn6+nrq6urYsWMHS5YswTRNOjrkCnLZwZFHHkl9fT1TpkxJTBI///xzamtraWtr63V9fY2RI0cmJstDhgwhEAhw5JFH0tjYSEVFxTfdvDTSSIpwOJyO/0mQjv9dIx3/exfp+P/tRjr+p/FtRZr/J0c6/neNdPzvXaTj/7cb6fh/8PGtWEzXNI3Zs2czceJEqqur8Xg8uFwuRo0aRUlJCWPGjCE/P5+ioiL69euXuIJ0xBFHUFhYSFZWFtnZ2eTn51NQUMAxxxyT9LpVqlBVNXE1JDMzE4/Hw6RJk8jLy+PNN9/k3XffTbpbWFycz3HHHYnD4WD58g8pLs6jf/8C3n57LaWlBd3qzczM5Dvf+Q5ZWVkEg0GEELaubDgcDjRNY8iQIZSVlfHBBx9QVlbWo1xLSwsvv/wyPp8Pp9OJy+Vi9OjR3cooioLL5cLn86FpGh999BEDBw7E6/V2e60sVrQxA5fLlXg20zRjBUd6eEZVVdE0jaKiImbMmMGIESMO2lWWYDDI4sWL8Xg8vPDCC4nd4kGDBuH1SlZhtQFd11m0aBFut5vXXnuN1tZWioqKGDZsGF6vt9d3bU3TZNGiRWiaxqpVq7Asi1AoxIsvvojX6+31yYIQgsWLF6MoChUVFRx99NFkZmZy6qmnkpeX1+vPJ4TgpZdeIhqNsn79etavX09mZiZjx44lKyurV0+wfFN455132LNnT2Knv1+/fixevBghxEGZYKaRRm+huLg4Hf+TIB3/u0Y6/vce0vE/Hf/TSOObgqa50vE/CdLxv2uk43/vIR3/0/E/jZ7xrUjzMnDgQPr3788vfvGLRB4ttztWGdfhcKAoCpMnT0ZVVU455RSKi4sxTRNVVYlGo6iqihACVVUJBAI4HI6kFYdlEQqFCARilcavu+46XC4XJ554IgAul4uRI2NFxsLhMBkZGQSDwdhOeed/AoEQLpeTCRPGMG7cSILBMKZpkZOTSUNDC4WFuQQCISzLwjQtBIAQCZ0AY8aMYcSIEViWlRhY9/470Klr389OOumkhC1aW1spLCzc7zvAPp9pmsZ1112HoigJua/ri/XNffUVFhZSUFDA0KFDCQQC5Ofnk52djcPhSHxPxJ6OYDCYkCspKaG4uJjBgwfj9/vJz8+nsbGR3Nzcvb4nEELZr+3Tpk0jGo2Sl5fHkCFDUBRln98Oh8NEIhHiY0lXz54MhmEkfsuyLK677jqEEBx33HEYhoHX66WoqIiMjAx0XUfXdUKhELquJ57Tjr64n5imSTAYTPjy1VdfjRACh8OBYRh4PB5KSkpQVRXLsggEAgl9ez/zVz+cvA2RSATLsr7yVSH48Y9/nMg72NLSQl5eXqKSsmEYBAKBxPcDgUCXAS+ZneN58fZu56WXXko0GiUzM5MhQ4YghMDpdDJw4MBEP967fYqy//tPZk8ECX3xExqzZs1C13U0TeO4445D0zQOO+wwAoEAeXl5BAIBwuFwrCiIAKHs35+6VigQIhaw9x4r7CChq4u+2x3idhR7jRNTpkwhFAolxiCPx4MQgmg0is/nS/hLHDL6EnJCTi4OISkXn1jHbduVbHyCt/ffotEopmlKty+NbxY33HADGRkZh1z8v/XLaynY6mPj2pcA+K4Yy+4HVjBEAIRACfGzorMgBOcPPgJleZBN7y3hsYpmKsM57J7btNevDQGGJGKn0qjExrU6BT6Kfe+yqmcY0tTBGzMf2q8tQzsHV00IGlWVN/b6W3/68f6Ha1iZs2/hvfgkWlFiut5evoq39/p7MNtL09Zqtq7evI/cIF9/dn2yPSG3btf7rFv6fuLvL0ZyebK2CX3tO/u1U1AKQvCbxVtiH6z5HPg89nyV8xjS1MGyMx/5mpBABbxC4OvUmaEoLFvwIAA6uTS7PTz+8rIun+/9Dz4CYN3yVax7akHi7/lHb6CwIMhrry3cr53dwb2jH2VGM5vvPTHx2SVeAZtXMAIgBNTBsUIACl/+9s8A1O2ZwsBIOc9d+ayUvlC+ScAR5E/3/1/is1JXAc1f7iF+efyjZasT84oFD/0JgBf1POo4mhcefFdK32Vbn2JIUwfvnvsYdMbx8UIgPgCFmF0LFIUpAOvfZsVT9wAwIP8srsg8gk3/vURK30DD4KGzFLa7MlBXvAyAmDAchEDxV0E2gAotlXDMUF7/KPY8wbqXcUyo5IoFE2MNswnTMPn+unG4wyEef+O6mD4EQQFBIAf4ZPtzKEosNr2yMlY0tGDcBk6fGuTNt05DkVBoWiZPRoYRjLax+JljbMvN+eImSkQWlZvflHo+y7J4fEQHlWEHu+e+0/l8OSCyYaMCojD2XtVB0AAPLPoC+AIhBCdoQYoCLikftYTALHBS62jmyXt+Z7+hwMcZR3DWHz9Ez/rCtowATtACFAU0qXYKwArMoaamhrOkWpnGN4mBAwccsvw/Pj8PBoNS/B9BJ4+X4/+w/3y5J/4fj4Oy/P+rNQo5/t8VZ7HF/zvnPrL8PxKJIHDsZxe7/D8O+3y87/h/jDzS+/w/Ye/923Gw+H8cvc7/3QIUifd3gPw/GAx2u37SlVYgNf7PvjzeDr7i/1+1zzb/F/L6vlo3kJOLw+76RpzTx/l/OByW0new+f+3YjE9HjTjecC6ulYS33WMFxiJ7wJ/fTey14IosUHg9ttvl97lXr9+PcceoYCiMHv2g7ZkhIBNm3bQTy/ANExmz55tW9+dvlMwTTkZgOjAGQDScjP6TcYwFGm5c083UtKnnx5FSUEuEAig6zqnlF8IwK025INlMzFNk9WrV0vri3f+imHngM32zpoRxDItNmzYwFVXXSW1K6vrOn6/v0s9wdNDSdtQWVnJtm3buOaaa6R2ZQ3DoKmpiauuuqrLv/8q61RgfzvX1NRQU1PDdddd12MBnL1hmmasyEy/KYA9e87MPQFLCBobG7nxxhulTitYlkVdXR3BUNC2vuDpIQSClpYWbr75ZqmTCpZlcafvFELBkJSvBQIBxNDzCIfDUnK6rnNm3hTCETm5SCTCBWcKaTkA8zSTcFju+aLRKLW1tUQiEfRotMt+G48De/+uZVls27ZNqn1pfLNQFCXRZw61+O8UXhShEQr6peREYQdK1E0wFOn5y3tBVYOgRAkFdSk5PDmJ00RSyPJ0bgJ2TcaSQo2dDgxK6os9n04oKHdNWXhyEpuVUnLC6myn3POpRh5Rqw1Dl5MTlkjJnhmqSkhRpeWEmgscwHsISb6HeeJGBgAAIABJREFU3NgGZygop88SFqYWQKjZBEP2yY5lWThA+r1bwsJl+FAtU0o2RuZS8TNBR9RHVIsQCtbblnMZmahKBsFIk9TivUAgtPgYI9FWATiDWFEvwZDEGCMOxEf7IYTVd+0UYJm9e7IxjYMLVXUcsvw/HA6DIsc9169fD2MGA/L8X6+IYpimLa4ahzlwBqYlz/9n9Jvc2UY5ufOnR1FS4P/GKbF4Iyvn9/s5dsAsokm4QDLE+X/wyEtt652Ze8IB8/+Rg+T4o2WZvc7/ITkfP1j8P1g2E9j/uQ+U/08ZNbbL3+0Ks2bEFmIPhP9fe+21BM9Ivn7yddyZeQpCiJT4vzFwBqGQPP8/r/iklPj/BTNjqZhk+b+YkRr/v9N3CuGQPbn42P7GG29QW1vLI488wvPPP29b18Hm/9+KxfRDFZqmceGFF0pXCJ83bx6aazOqojJ79g22ZCzLYuvWXYSdTpydaW/swv3ibgBmXyzn6He8G8srJ9tBGl/ZnpJc864bUpL7Wd3vU5KLIyNuHxvyd7zbiK7rDB8+nCuvvDKlK0cy9gk03Iwe1SkvL+fKK6/stStH3dls2bJltLW1ccUVV0gFt56QzM6rVq2iurqayy+/PKXJroyfNr6yHdM0ycrK4gc/+AHZ2dnS+gINN9vW97O632NZFj6fj0suuYTCwkLbekzTxLG4GpfLJeXbdXV1/GZdJJEeyy7a29tpeW0HmlNOzu/3E2m9TVofpNZ3Q6EQa9euxalpOB2OLmU/+eQTAKZPn574zDAMNm7cKNW+NNJIhvXRCF6vg8PO7C8ld0bNfWiaRlaRPSINsfh//cA8nE4njw28UUpfP6lvHzjGpih3fXnsSvvj5T+Tkuvr5/tlYDdCCH57RqlU/HcDcp4SQ+nzVZiGk9qLK6Tif6rv4YaKYqJGlN8NvFEq/jf1/JUusWrVKqbX/xWP10Nm4Vz7gsU/TEnfxo0byXYKPFleCs8ZmtJvyKCyshK9MpbD95qT7cf/xi3bqY9EyD9rsNS8qK6ujlPCC/GUesgqtj/GtLe3c3PjO7gzMnhkpj1eArH4P+zvDbgzith5gRwXSsVHQ6EQP9vzDi5XBo9KtNMwDPw/uYESG+ks0kijJ2iahqZpqKoqNX+dN28eG7Ugiqoye/Z1tmTi/N/pdEjPs/uax8vwo71xffVDKcmBHIf/OmT5o65HDoj/y/LHqB7tdf4PyW12sPh/MjsfKP+XXU85UP4PcrzV9bddhAwzJf5/65t7UuL/4eX1KfH/UPMtKfH/W5qfkpYDubXJOKefNm0aa9euZfr06UyYMMG2roPN/9OL6b2AA8k5JCsb/3YqOlNt57+7XCry8e/25bs/UH2p/N7ByKfV3W9+m+yZ7oP7f7ev9fUkm84Hl8bBwhHHvIKSXUNbu9wJ8/8LDCaotjGs/SYpuUvWjSMjHGKDYv80BoCem4Vwe8n05ErJLR1eSkNWJh5v90XQvo5w49/RIlUMijRLyX2vj5/vZbOQenyEJPOaXr7jzwxp6iC0Xu7kdlnReWjZ5eidJyzt4oHpJttd+QjF/9UE0AZSfQ8Xdr6HzcoLUnLF4zfhLgyheDxSciNHmng+L6TMaMb8/DbbcrUNJ9Gil2Pocu8v28zE7B+mztFC4z/W25ZL1V8sq5RprkqKgi52Lei+WN/eKDvufURONW16BF3C1dxuwe/8wwlG2xjWYX+MEULw4PabKRFZaOvtb43kCsEjZ6tsd2UhRM9FDPdGKj4qEMzd1tnODRJbOAIKTrud9oj92wFppGEHh/L8/JvQ9U3I9aXsvwv/7+k3v036vgl7Sq/ffUv60reF/x9K/F45FBozfvx4kaw689T7L0H31FEhJK8aHyRcWnc9xSILl8dNOBzCNC1kNydN0+QvBTvYEclBC9qvTGwYBmUZPgoj/ShoNWzLHTVpBVbOTr6UrLmyuMpDSG2nuEGu8vlVHbdQLLIwhFx+omdyt7EjnIMWksu71N/hkrZJDLH8WUcft9K2fRZXeQgp7eTX1eF0OHoW2EcbIARXB261bZ+4TZR2fwq7xKIzn/j+u9nd2cyyLCzLSmlXWgirS32Q3A+FiOUDTE2f4P9Ve237adw3Q3oETUtN3/y87Z19t2c/jds5pzGE5nQilfyUVPuuYHGVfZvsjQPquzZtsjdS7buGEWX8CR8ktU2WodMWyOefr2QkPrMsi3feeYcHHniAH/3oR1L64lAU5V9CiPEpCafRJbqL/4cy/vH0jzGzdtGAXJqXuXuGENWaGW5WS8mN+9cpOPU2LFMy7hTlIdxeMpxyi7hvjR5EY1YmDs3+HAXAan0DLVJFaaBOSm7cv07u0+d7XR1APV78mlxhsv/afA8VjWGchtxi+tABF+LMLiOgZfT85b3wf6c3ssPRn4jkmHzg70FFJl4NOO4LPAUhjCSF9pK207Jwfl7AEGsPhmFfX2PL6bTo5YSCcnFcWAJ3hcCvdhBV7Med19UB1OGlTdJfhBCcFv2SglABQ2vtpyUZ9Z01GNnV1Cl+qWmDEIIH64Z2jjH2F+8Fgisr76NAcWNKLm7/4fSmPvPRA2mnUwjaog1M+4PcRmYc6fjf++gu/p/46JWEXbUUeHq3yGFvIBQO8cvqKymxMskT9jdoTNPkt/lBKiM5+Fvsr78YhsG4fiqFkX4IR55tudOHLIScaqLtu2zLANxnjiLgaMcdlZub37JrtrRNAO7r1y5tE4j167GZQtouiFj28jOGPmfbPnGbOENhab4qRCzj+m01V9u2T9wmTQ3RlPlxstPzR2ZaXdrMsiws08QpGcdjNawESpLT88n8UFgWpmXidErqI7Z2cL81xrafxn0zS69JWhC4e30xe8r4asLOai6yi4Up9V0huM8aLd13BYJbd13Vp303mQ92hdKWJlSjkRUdK1m2bBnjxo2jf3/7dz0PNv8/5E+mh50uDFWDQ6RunGb4UJX4ZFrB43ajOuSu3oTDYSxXEGF48XrtESshIBi0wBFCKD68XvvEMUNRMFDweuVODAUML1FnWLoitdYas5HXJzdwfGUTuXZidEjbBGKTE8uypOwTt4nT4ZC2i2maGIaR8CE79onbxOmIXROWGYst00KPRnG7u/CxbmwWL5ji8XqkcnValoWuR3C7u7ZjMjtHjSjhcLjz+SRyg8aLUBg+234a901V1fG4PSiqjD4Ih0Nyftpp51jBHo/kNT2RUt+1LEvKJgltQqTUd4Ul+rTvCiHo6DC7tY3mD+NWBH/84x+/UmUYnHHGGXLtSyONJMj48lwKCwuYcLVcsoK5//syPpeTP/+ytOcvd8KyLJZs3IDmc3HWfd+X0vfQQw9x2mmncfjhh0vJZSxYQHlOFtNOlCvXN29ePSNHXsLkyZOl5F7evADhgXN/c5mU3AsvvIDb7WbmzJlScoetXMn27dulJ9aTXvwjliVY+93npOTWr1/Pe++9x09/+lMpuXNemYxhGJx+7iqp+FFZeTjPPvssd9xxh5S+V794Fl3XOeu+S6UIZ319PQ8//DD33XeflL6lS5dyT1uQzMxMlt52um25trY27rrrLuY+MVfKLqtXr6ZkYSWZmQMouNe+b/8gHOaWW25h7ty5UnbZvHkzl376BzJ9maw882nbck23ZxMKhRj1vzOl4vjOnTvRV6/B5/Px51um9yzQidbWVt7+nxfxe7zMuPd79tvZ1MT0d8/A6/XynZkrbMsB3HnnWq699nZKS+2PhYFAgDd+9Tytbg8z773YtpxhGNx32YX0L+3PNKlWpvFNIYSKIXkApa+goKAZmShk4PXZ759x/q+YXql5byBgoagdoHjwStz+cakOTMWBJjk372jxElXC5HrlFh1TsQmA5aoD04vXK5d6IxqNoqhN0nYxTAPLtKTsE7eJ22ngkbTnV/zfvn3iNnGksN4Q4+N60tQpirqnS5vpUR1dR8qWEONlkUgkqb5kdo5Gjb34v4y+WF/q0O37adz2qqqmwP/jxY89WK66zv7bs6/G7ez2uFGTHDRMhlT6rmUJOvzyfVcIkVLftSyRct9N5oNdwV2v49EjPP7440yZMoWbbrqJk08+2baug83/D/nF9IqsqwF47urjvuGWxPDSzfMJCD/nzfkhc+bM4dJLL2X48OG25YUQ3HHHbZxb/haqqnLG+U/YkjNNixkzbmDNZSW4MjJY991FtnVuuTaIpmlMecz+xBPgiTefR1NVnvufC6Tknv/pU/hVBxfMucK2jBCC6Qt/iUBw3iXrpRZVj1o4C0WBjy+Wu5a8fPlytm7dStmmWCGOKQ9f1KPMn997CSUcJnvX6yxYsECqnR9//DFvv/02AfwJH+oJ5784h0gkwlN/LeW5V17BIXEafuvWrSxYsIC7f3X3fu2c8LcYWerKj+bPn8+TTz7Fe++9J1WgY8+ePTzwwAPMnTu3S7vsvCm2I/Z1O7/66qvcdtttrF79SqLIkB34/X5uv/12PIUn4wGem3NejzIv3Twfv9HErS/fy7p168jLs3+SIRQKcdNNN3HexI9RUDjj/NU9ykz42/ewTJP6X6xm1apVUvUVDMNg2/UBPG4PUx7p2TfjqKqq4rFX3yMzM5Pn7p5lW665uZm///ez+D1eqb7b0NDAKa/9DG+ZlzMvsH/CWAjBkX89l4yMDD68cLFtufb2diZOnMj5WXegOZ1d9tunn34aBfbxp2g02qs5B9NIQ1VVqTErdhMwNjb6fPYnyKb51ck8GX0Qy+3q8Xik5VwuF263u0/k4nZREHi9Xqm4mmo73W43LpdLWg4UFEW+nR6PB03TpPXFN7S9Xq9U/He73WiaJt1O9tInE//jzyerL0a+gyiKImUbwzAS+mTtArFDYjL6VFXF6XSmZBclBX3NCqDE3oOMnKeTmMraMxL5Kl2VjFww2HlrWPL5hBApjU2xQrDy9oxGo7IXA9P4hjHUfTkAz//o0OD/e2POnDm0mc10qA6OtsHl4Cv+f96gvuT/29E0jQpJ/u+4Pcb/30iB/7eqDo6W5P8zFh6VEv9ftGgRvxEf4NQ0KbvE+P82yjbH+H+ZDf7vuTvG/8sPgP93CD8dYMtnZr04Kcb/V5XySqr8/+79+T8kXwOI8f8nU+b//3tfMv5fA+xv56/4//sHxP/fsMn/W02DW1+emxL/n3PTTTz22GPMenUKgK01gGOev4BAIMDbpz2VAv/fisftoVyS/0cfi/H/N2T5/5pnafV4pfpuQ0MDp742Fa/v4PL/qh88BSp4PLFCvBkZGdLx/2Dy/0N+MR1iJ1Da29vZsGEDRx99tPQOXV8hGAzy4YcfMnTo0ESbx40bx+bNmykvL6dfv65LZUWjBhs2bCE3N5to1CAaNRg4sIgtW3YydOhA8vKS7/aYpsnmzZvxeDxkZWVRXV3N4YcfnphQJ4NlWXzxxRcAFBUVsW3bNsaMGdOjc1qWxWeffYYQAp/PR3V1NSUlJYwYMSJpYBFC4Pf7sSyLSCRCXV0dw4YNS9iluLg4qVxraysQOy29Y8cOxowZQ3t7O7m5ud0WqxBCUFlZSVtbG4cffjj19fXk5OSkQJx7RnzHsrW1FYfDQWVlJWPGjGHr1q14vV6GDx+eUqGS7vTpuk5jYyMej4ctW7YwatQotmzZgqqqjB07tlcHDSEEhmGwZ88ecnJy2Lx5M4cddhjV1dXous64ceOkgrwdmKZJTU0N+fn5bNy4kSFDhtDa2ko4HGbMmDG9PiiapsmuXbsoLi5m48aN9O/fn9LSUrZv387gwYPTi7CSEEKwe/duCgsLCYfD6Hrsevv27dt7HGei0SgbNmygsLCQtrY2GhsbGTlyJCUlJX3V/DQOEQghWLNmDWPGjEnH/y6Qjv9dIx3/0/FfVl86/vce0vE/jd5Cmv+n4386/u+rLx3/0/H/UMbBiP+HOr4Vi+mNjY2sXbuWhQsXcsEFF7B9+/bEleW6ujqys7NxOBzU1NQwadIkli9fzmGHHca0adN6dRDrCR999BFvvvkmLpeLjo4ODMNACMFdd93Fr3/966SVZ2trG+noCLF8+YdkZfnIzvaxe3cDlmVRV9fEmWeemFRnR0cHe/bs4csvvyQ7OxvTNNE0jaOOOqrbtuq6zs6dO9myZQuKotC/f3+Ki4t7DDahUIjq6mpqa2uZOnUqzc3NZGR0n6rGMAz+8pe/MHr0aGpqasjLy+ODDz5g+PDhvPHGG/zwh13v0EajUZ555hmOOeYYdF3H4XDw1ltvsWbNGn7yk58wYMCApDoty+LNN99ECEFOTg7z58/n+9//vtQtAhm8+uqrhEIhLMuioqKCpUuXkpuby7Zt2xg0aFCPNpLFu+++S2VlJbm5uQwcOJClS5eybds2pkyZ0qt64li1ahWrV69mxIgR5OXl8frrr7Nz504mTpx4UPR98sknvPrqq0yaNAmXy8Xrr79OSUkJlZWVlJWVJZ2YpoovvviCv/71r1x88cVs2rSJjRs3csIJJzBv3jx+/etfp4OpJBobG3nkkUf4+c9/zpIlS6ioqKCjo4NgMIhlWUyaNCmpbHV1NRs2bMAwDKZPn86aNWsYOnRoH7Y+jUMJL774IoFAIB3/u0A6/neNdPzvXaTjfzr+yyAd/9PoLaT5fzr+p+P/vkjH/3T8P5Txnxj/vxUeIoTg008/pbm5mc2bN7Nu3TqWLVvG448/zvz581m8eDF/+tOf+OSTT3j33XdZuXIla9as6fNKr62trUQiERoaGmhra6Ojo4OFCxfi8Xiorq5O2p7CwlwaGlqYNOkIsrK8bN26k6KiPFRVJRLpvmCR2+2mrKyMSCRCR0cHoVBon+uayeBwOBg2bBihUIgtW7bQ0dHBrl09FzmIXx0uLi6mtLQU0zQZP358t5MWp9PJaaedhqIoRKNRBg0aRH5+PjU1NezatSupXTRN47TTTsPpdDJ48GB27tzJiSeeyNSpU3tsp2maBINBIpEIL730EuFwmMrKyoPmEyeddBJZWVlUVFTw+eefE41GCYVCjBgxIqVCFz3hxBNPJDc3l8GDB/PFF19QX1/PCSecwGeffUYgIFcEsicoisKkSZMoKSlh8ODBbN26ldraWo4//niqqqpoaWnpVX0ARx11FIMGDaKiooIdO3awe/duRo0aRTgctuXfshg1ahQjRowgFArR3t5OMBjkhRdeSPTnNORQUFDA5MmTcTgcnHbaabhcLkKhUKJPdof4OzBNk4yMDEpLS6Wux6Xx7wXTNNPxPwnS8b9rpON/7yEd/9PxXxbp+J9GbyHN/5MjHf+7Rjr+9x7S8T8d/2Xxnxj/vxUn091uNxdddBGWZdHW1kZWVhbDhg3DNE0GDRrUWZAuthN82GGHsWPHjlh+vD5GZmYmoVCIgQMH0tTURCgUYtasWaxatYrCwsKkcl98UcVnn1Xi83k6r3gVU1/fTGNjKyUl+d3q9Pv9rF69moKCAtxuN4FAwNYuaCgUYuXKlRQUFFBRUUFbWxu5ubk9yrW0tLBixQrGjh1LQ0MDpaWlPV7xiRVfdJObm0tTUxMffvgho0ePZv369UyYMCFpIFYUBY/Hg2EYLF26lIyMDNrb28nJyekxQCmKQn5+Prquc/zxx1NdXS1V5EgGiqLgdDrp168flmXhcDgoKCjg/fffZ/z48ViW1as7m4qi4HA4yMvLi1UIF4KxY8dSVVWFy+WSynMmozM/Pz9x5euYY46huro68W4Plj6InVAYN24cy5cvt/XuU0V+fj4+nw+fz4fb7eacc87hnXfeISsr66Do+3eGoij069cPp9NJRkYGWVlZ5ObmYppmj/7idrvJzMwkIyODmpoaDjvssD49YZTGoYXBgwcza9asdPzvAun4n1xnOv73HtLxPw0ZpON/Gr2FNP9PjnT8T64zHf97D+n4n4YM/hPj/7diMb20tJSSkhJuuOGGRGeOd6i4keOViz0eDxMnTsTlcvXJCwiFQomdwPHjxzNq1Cg8Hk+icrPX6+Woo45CVdVEoZ5oNIro/E8gEGLo0AFcd92FqKqCZQlA4HJpBAJhvF43gUDs+pBpWggAIRI6fT4fZ555Jg6HA4fDQTAYJDMzc7/dyZiurz5zOBycddZZiUAQCoXw+Xxd7mru/Znb7eamm25KyOXm5n5VgCiuK9bIfeTy8/PJy8tjyJAhifc0ePBgPB5PQl7Enm6f3ysqKqKwsJBBgwZhWRaaplFQUICiKHv9vkAIZb+2n3POOei6js/no7y8HEVR9vnt+C5nfLNaZkfXMIx9fsvhcDB+/HiEEImcdfEd+0gkQiQSIRQKoet64jnt6Iv7SXynfe+gfPzxxwMwZMgQfD4fo0ePxuFwYBgGhmEk9H39/cR+OHkbIpEIlmURDAb3mZSeeOKJqKpK//798fl8HHnkkSiKkngX8e8HAoEu+14yO4fD4YS+vTF16lRUVeWcc87B6/XG+o0QZGRk7KNPCPE1f+jenggS+vaeeE6dOjUxEXK73TidTs4991xUVSUQCBAOhzEMAwQIRdjzFyEQIna6Zu+xwg4SurCpqxOJ/iTk5EKhUOLfKcmJfeWOOeYYFEUhJyeH7OxsRo4cSSAQ2G98El+T69+/P2eeeSYulwuHw7Hfuw0Gg7ETJp227aqt8SJle/8tGo1imqbt50rj0MA111yDw+E45OL/b4qrqA358c/dy5crzovVuCsGASxfGwXHeBasjcLadwGYTCtF7f147spNMRlgKMfRUgUaOQA0AZDJHhSeW7gJAUTzHbQ6/Dx5z+/2bUhnTdMQ/liO+d3/YM1r/0j8+Z+DB/Pyzl34Wir3FRucm6jHJwrzWdiwBVZsSfz9ssg7ZH9YyabVc/aRu8gt4It3af9CIQfYvHzf5gyqnULNx/Dcgp37NRMgA43t728lEy9NaxtZ9P8WAhDOFwQcHTx17+P72VoDLMK8ufBVAD5d/q/E3/4+uJhG1cFjK17eV6iiHwJ4vnEreIGmbbByW+LPgfolaBlVvP+MvSJwcVy4aiwZ4RC/X3F9km8Ivlz9CYVA1a43eGLJGwAUHL2BYWVBXnvtdSl9rspshhrNfH7/vify4md1jhMCpV4hTwhQYOvcPwKwc89URkbKWDR7oZS+UL5BwBfi6Qee3O9vuz7ZDkLwZcPGxGfPPvo0AC/peezxncDhD74rpS9qaFyxcz5Dmjp4Y+Z9ic81oBIoFwKhKBR3TiDW/u0PAAzIP5v/yhzPZ3e8IqUv0zR5+GyF7S436t4+kw00bkUMyUMB5m39EAblsOCj2PME617GcVwlVz17nFQhS8s0mbv1F5SILDZ+/JJtucdKdlMZzqHmD6ul6mZalsWJriBF7S6eu/JZ23JCCAYd+zEip5rXXvurfX1CkLW7kDKjmU33nJD4vBDY/X7s315gMFAhBEqNwqa3Y59PC5zIP//nNYSZuc9vuoktCG1evgkFWMOqr9qJoHxivJ0Sz4dgwg/CBNsPfWKexlc4lPm/2Gt+nub/X9mkL/l/JBJBaPvaBdL8v1v+D0nXANL8v3v+HwwG5d5hTGWa/x8g/zctM/F88ToFMu082Pz/W7GYHu+wTmesuV3tTDkcjsTnmZmZ+/39YCAcDnP77bdL71ytX7+eY49QQFGYPftBWzJCwKZNO+inF2AaJrNnz7at707fKZimnAxAdOAMAGm5Gf0mYxiKtNy5pxsp6dNPj6KkIBcIBNB1nVPKLwTgVhvywbKZmKbJ6tWrpfXFO3/FsHPAZntnzQhimRYbNmzgqquukpog6rqO3+/vUk/w9FDSNlRWVrJt2zauueYaqR11wzBoamriqquu6vLvv8qKVU3/up1ramqoqanhuuuuS/RxOzBNk4aGBkL9Ynni7NhzZu4JWELQ2NjIjTfeKLWLH8thWEcwFLStL3h6CIGgpaWFm2++Wap4kmVZ3Ok7hVAwJOVrgUAAMfQ8wuGwlJyu65yZN4VwRE4uEolwwZlCWg7APM0kHJZ7vmg0Sm1tLZFIBD0a7bLfxq+F7f27lmWxbdu2/b6bxqGLveP+oRb/XY42nGQQ3GsSagvOIFbUSzDU/RXuryNDVQkpKqFQEnKUBAIRIw+S7RRCYAmRGO9k5GKbh3JyqT+fhRAipecTQhAKysm5DB8Oy9yHfNiBJSxIwZ6qkUfUasPQJe1ipaYv1fdgqblACu/BslDVIChRQkH7fULkxp5P9v1ZwsLUAgg1m2DIPrmyLAsHSL93IQQuIxNVySAUabYvV9iBEnXHnk9mXVCI1MYYAS5VxVBUgqF2KXWOVH1UxN6HlK+l2E4AVVEgnf/2W4VDmf+Hw2EURY57pvl/10iV//v9fqIXqkSjUWme9J/K/yH5GkCa/3eNOP+/9tpr+e5M+2sA4dPDCCHS/L8LyPD/H3wZO+jz5+uvp7a2lkceeYTnn3/etq6Dzf+/FYvphyo0TePCCy+Uzuczb948NNdmVEVl9uwbbMlYlsXWrbsIO504NU3Kad0v7gZg9sVyjn7Hu40xOckO0vjK9pTkmnfdkJLcz+p+n5JcHBlx+9iQv+PdRnRdZ/jw4Vx55ZUpnX6QsU+g4Wb0qE55eTlXXnllr10X685my5Yto62tjSuuuEIquPWEZHZetWoV1dXVXH755SldGZPx08ZXtmOaJllZWfzgBz8gOztbWl+g4Wbb+n5W93ssy8Ln83HJJZd0e93z6zBNE8fialwul5Rv19XV8Zt1ETTJcaK9vZ2W13agOeXk/H4/kdbbpPVBan03FAqxdu1anJqG0+HoUvaTTz4BYPr06YnPDMNg48aN+303jTRSwazSV/F6PXjcd0rJXb9zBZrTycP9f2JbxrIs+j+3A6czn5qLBknpG5v4V/fFxfbD6KuQWxqLwdP5X1n0f64SyKX24sFScik/X3HXhc96wu5Nn2FlCAZ8d1SfnH68JViLaZr89oxSqfjvBvqnoG/A89UYhoOaiwZJxf+xPX+lS6yaPFwaAAAgAElEQVRatYp5p+bi8Xh4qCTZaf/90ZSivo0bN3JG/R/werxkFs21L5iiv1RWVrK7rZpWj4fCc4fZlju74UH0iI634LdS86K6ujrmBN7G4/FIjTHt7e1kv3ws7oypmBfY5zR+v5+7/X7cbjf3nlJkWw5SGytCoRA5LxyLK2MK5gVltuUMw2DJkiXfivyraRz60DQNTdNQVVVq/prm/10jVf4PB7YG8J/I/yG5zdL8v2fIrAHcWPs7TMNI8/8uINNv8x56GIDLL7+ctWvXMn369KRFnbvCweb/6cX0XsCBFLWQlY1/OxWdqbbz310uFfn4d/vy3R+ovlR+72AUbOnuN79N9kz3wf2/29f6epLt6yJUafzn4M+78wi42ih33CQl95ttsZQP2idyy4EPnQXbXf0QQq7g0+Wf/41R7ZW4InJ9Qf2ohbBfpd4lt9xVVnQeWnY5uk9ucXvuTMF2V36fPV9tw0m06OUYuv3TQgDRIoWAI0D7PzdIyb1sFlKPj5DE6SSAyyvnMaSpg/AGuTzAqb6H30432O4qwHK0o0iYNNz4d7RIFYMkTl8DGPkG318zkYxwiA2K/ZNGxeM34S4MoXjk/HPAQAvPZ0WUGc2YX9xmWy5Vf3FYKoMmf4LIqaat3X7xtMdaBhBU2xhacyuKxNF0ISwe3P5L6TEmVwgeG9FBZdjBzrX2fU0IDz/e9TuGNHUQ/PDg+6gQgkdTaScQGXgWmk/F/ltPI42e0Vfz8zT/PzRk/134f0+/+W3S903YU7r/fkv60qHI/7sa+w4lfn/IL6bvafkduqeOix9J5YxU7+NS5/UUiyw23P0mZ5sTMD+1UDb6pX7j2pJz+UvlUeyI5KAF19uWK5hyIWWf+SiM9GN9a8+Vt+NQJq3AytnJl5JFkF0DPITUdh5d1Sgld5X7FopFFsYyObsszv0hO8I5aBvlSOoEx0nSNokhlnNZOW6lbfu4BngwlXZcvjoeXXWjpDZACK5232rbPotzv8eOcA65k/088uanUvpizydQlP13s7uzWaE1kh+NH8HGRbWS+mJErit9kNwP+x1l8bPHBrODh0HSR4UQuAZ4bftp3Def/96jaB9YgJyPCiFYnPe9zr7bs5/G7ZwzfSY1y0LUIOejjknvy/fdHEG/4fZtsjeuypPvu17gmdwrYjb5uG/67vXTfsWuo5OPa4XDdNoC+fzpT+sSn8Wv6aWRRm+g1coiakXQTblF8XjKBz3SISUXT00R0eXy/sXTtei6XFoZl7AQliItJ4SFEBZ6RE6ur5/PsgTCEui6XNCJp0GRlROqQGARkWxnLAWKjq5LFtUT4oDegy77HhL2lH0PViJ1jm7al7WEhbAsorL+aQmCRnYsLYkhkVYmRX8RQiTSksjYpiPqI6pF0E1dcjFd7DXG2M8pKhAILZZaRspHhUik6emLsSLldgKWU8NQuy+YmMahg2t5FCVrN+8/K5fOpy/wncFh7okeRsDRjvtzw7aceayJc/3PKLEyyRNbbcs9N+VyHtgVojKSw22r7KcrODLbojDSD7FMbjy/Z8jrkFNNdJvc3PwPh42StgnALbtuidlko32bQGy8m5h7nLRd4vx/bLawbZ+4TcKDd2Buu1aqnXF9fzhstG373LLrRiqsTP46eTfON+VTVMTziXeFif26tpllDcY97XrueHVHr+pL5ofCOobvnncUK5c7QJHx0Vg8vmeYfT+N+2bF0AoerHlQKq4CiWKyt+y60Xb/ndRvMpWRHB5saUV2veHIQovCiE+u74o8Hh7xnHTf9SB45Gj7vplQJwS31twuPZ5Bch/sCh1HXYZXjTB4/nxaW1tZunRp4ga6HRxs/n/IL6aHnS4MVYNDpG6cZvhQlXieJQWP243qkLt6Ew6HsVxBhOHF6+258jbEcqYFgxY4QgjFh9dr/yRHhqJgoOD1yp3gCRheos6wVJ4nAK01ZiOvT3KgSthE8uKn0SFtE4hd+7AsS8o+cZs4HQ5pu8SL0sR9yI594jZxOhx4PB5kbpVZpoUejeJ2d+Fj3dhM1/VYkRivRyrYxIoARXC7u7ZjMjtHjSjhcLjz+eRIYzgcJmD4bPtp3DdVVcfj9qCoMvogHA7J+WmnnWNVzz2S1/RESn3XsiwpmyS0CZFS3xWW6NO+K4Sgo8Ps1jaaP4xbEfzxj3/8SpVhcMYZZ8i1L400ksDccw7FhYX8+erjpORevvUvtLkcTL93lG0Zy7KYueRenE6NU89+X0rfQ+u2MPK0Gxl9+OFScgsWLKC8vJzTpk2Tkps3bx4jRw5g8uTJUnJnLYnZ8fRzV/XwzX3xQr1OVaGbmTNnSsmtXLmSlu3b+dGPLpGSq/n537CEi7KHLpSSm7h+Pe+99x4//elPpeSOe2kehmmw5vyFUvGjsrKSvzz7LHfccYeUvnP/fgK6rnPq2e93mZ84Gerrj+Xhhx/mvvteldK3dOlSglotmbmZnH63fZu2tbVx1113MXfuXCm7rF69ml+07SLTl8kbt9mPB+FwmFtuuYW5v58rZZfNmzfjfULBl3kyx9x7tm253z2wDBEO8/ufnyoVx3fu3Mmah9+izedj+r0X2ZZrbW3l1LfuwTPQw0kzV9qWa2pq4rS3c/F6vfzjrPm25QDuvPNOrr32BEaXltqWCQQCnLp0Gp4BHk460347DcNg7N+WUSKhK41vFm6nG8Ohgdy6bJ+hw/ASVcLkeu2PB+FwGM3IRCEDr0+O/1uuIIrpxeu1n55CUfeA4sEreYPHpTowFQea5Jy+o0XeJsBeNpHj1boeTckucf6vqM227RO3yf9n79zjo6rO9f/dM5lr7iQkISEIyF1A7iIqiiICrVe81NpaTuuv9vRYe9B6p+XYm231nKo9ttVyjkIrSGtVrFBtUUCL4Q5yFQgkkUAyuU9mJnPZl/X7YzIhwEyy15AAns7T8gFn9jPv2u9ea737WXuv97Va06S1jq4baJqGv828f2I+sVqtuFzuJPR/JGHqFMPuieuzmP6Pnp/cjqhwOLH+T9QPVU2L6n/J9QYhonm6ZfpprG+6lZC0/kdAMBTE5XRJ9VXD7gHdjdOZIZ2mJ5mxawgjqbErhMDfIj92hSGSHrsx35gZt812JyG3k//+7/9m+vTpLFiwgGuuuca0rd7W/+f9YvrAzHsBWC4pWHsLbz60hIDwcvOir7Fo0SK+8pWvMHToUNN8IQQLFz7GTQP+jsViYfYtvzXF03WDuXPvZ9PdRdgdDrbc+pppm4f+tQ2bzcb05+80zQH47d9WYLNYWP6j26R4K777El6LldsWfcM0RwjBnGUPIxDc/OVPpBZVxy2bh6LAjjv/LNXOtWvXUl5eTuneaGGM6b/sXnj877o3UUIhsqpXs3TpUql27tixgzVr1hDA29GHusMtbywiHA7z0h+KWf7221it5t+qKS8vZ+nSpTz5gydPa+fk178EELcfLVmyhBdffIl169ZJFeiora3l6aef5plnnonrl6MLok/ETvXzO++8w2OPPcbGjW+TLrHd1+v18sQTT+Dqew0uYPmim7vlvPnQErxaI4+u/ClbtmyhT58+pu0Fg0EWLFjAzVN2oKAw+5aN3XImv/4lDF2n7nsbKSsrk8rXqWkah+8L4HK6mP6seVFcVVXF8++sIyMjg+VPzjPNa2pq4i+Pv4rX5ZYau/X19cxc9QDuUjdfvG2raZ4QgrF/uAmHw8HW2/9omufz+ZgyZQq3ZC7ElpYWd9y+/PLLKHBSf1JVtUdzDqaQgsVikZqzhBAogIJCerr5G11dN6CDJ/fQ2Gaz4XK5pHl2ux2n03lWeFG/KAgEbrdbKq4m206n04ndbpfmoYAikG6ny+XCZrMlZQ+i9mTiv9PpxGazSbczJmjdbrdU/I+dn6w9p9NJG9GCfDK+0TStw56sXyBa2FDGnsViIS0tLSm/gPzYjfnQ7XZL8TrsKUjxwuFwtG9L+qWtLbZrWI4nhEhqbjIMI2ZOiqeqqlwh1xTOOQZrD0ALFNw79lw35TQsWrQIB2NxWSy8a0J7wAn936o34LdYGL/IXKWJmP7/9vwQDofDlPaIYewfbsZmS2PbHX8yzQE4/G8VWCwWBv3qLime9YnousG7EusGQgiWf+dF6hGM+/m3pOLHa6+9xg3KW9hsNim/xPT/S7nR3atm1lSOLjhGMBTiR/41Set/V9sQXGCqz7z50BIaw2F+f/ht3u5B/Q8w742pAKf5LKr/l/Besvr/p/H1f6I1hxP6f2NS+r90X3T9ptTE+o3ryTex6zo1rz6StP5//vnnWfXEcvzAeBNrODe9PpmAP8C0mX+T1v/jls3D5XKy5Tbz6e+qqqrw//AS0tOvYaDEml9TUxPqT/+C2+WWGrv19fWs3vwaXreb8ZJrfnOXj8PhcDB33uZuj795R7QAaeylS4fDIR3/e1P/n/eL6RB9A8Xn87Fr1y7Gjx8f9y2NrraXnC1EIhG2bNlC//79CQQC+Hw+hg4dyq5duxg7dmzCgauqGrt2HSInJ5OWFh8+X4BBg0qoqqphyJBSiosTFy3QdZ19+/bhcrkYNGgQ1dXVDBgwoFtfCCHYv38/uq5TWFhIdXU1F110EQ5H10/KDcPg008/xWKxkJ+fz+HDhxkxYgTZ2dld2vJ6vRhG9Mmlx+Nh9OjR+P1+IpEIBQXxixYJIWhpaQGifaC+vp4xY8bQ1NREbm5ul8UqhBDs3r2bcDjMoEGDqKioYNiwYV22M1kIIWhtbUVVVWw2GwcOHGDw4MF89tlnFBYWUlxc3KN9UwhBW1sbfr+fjIwM9u7dy8CBAzl+/Dg5OTlccMEFPW4vHA7T1NSExWLhwIEDZGVlYW1/O//CCy/scXuqqlJXV0dBQQF79uyhqKiIjIwMwuGwVBEPs9A0jePHj1NQUMC2bdsoKChA13XC4TCjR4+Wuok5X9HS0sLu3bux2+3k5eXR1tbG6NGjey3AxOYmt9vd4cuLLrqoW3uRSIS9e/eSn59PUVERtbW19O/f/5zP7ymcfQgh2LRpExdddFEq/sdBKv4ntpmK/z1nLxX/U/FfFqn4n8KZQ+Br9eFK6f+4SMX/xDZT8b/n7KXifyr+y6Kn4//5js/FYnpDQwObN29m2bJl3HbbbRw5coQJEyYQDocJBoNUVFQQiUSYOXMmW7duZejQoXg8HrxeL7feeisZGRlnpZ3vv/8+q1evZtKkSTQ0NFBXV4ff7ycrKwu73c60adPi8mpqGvD7g2zevJdZs6ayefNevN4Ax4/XM3hwSZc2/X4/tbW1HDx4kMsuu4zXX3+dH/7wh91ObqFQiMrKSjweD4FAgOHDh7Nt27aEbezMq66u5tChQwwfPhyXy8VHH33EF7/4xYQcTdP4/e9/z6hRozh27Bh9+vRBCMG2bdsoKSlhzpw5cXmqqvLKK68wYcIEAoEAuq7T1tbG6tWr+c53vkNJSWLfqKrK6tWrmTx5MhUVFdTV1eH1epk5c2aX55cMdF1n2bJlDB48mMbGRhwOB36/HyEEn3zyCfPnz+9Re0II3njjjY43z1RVxe/3YxgGmzZt4pvf/GaP2oPoVuzm5mbmzZtHJBLhwIED5OXlcejQIe69994eDzbr169n//79TJo0icOHD+P3+/n0008pKSmR3s5vBps3b2b9+vXceuutlJWVMXPmTI4dO0ZTUxNFRUUUFhb2uM2zDbvdjs1mY/fu3fh8PgYPHszQoUM73mTraRw5coSPP/6YwsJC6urqyMnJITc3t9vA2NDQQFNTE9u2bWPo0KFs3ryZ733ve73SxhTOf7zxxhsEAoFU/I+DVPyPj1T871mk4n8q/ssiFf9T6AnUN9RTmdL/cZGK//GRiv89i1T8T8V/Wfyzxf/PxZ732FPGpqYm9u3bx5YtW1izZg3Lly9n7dq1fPzxx2RlZfHCCy9QVlbGypUr+fjjj1m/fj1NTU1nrZ3V1dVkZGRw8OBBJk6cSE5OTkcu6P379yesPNu3by719c2MHz8cRVEYM2YIw4YN4OKLh7JhQ9cFSp1OJ6WlpUQiEUaMGMGFF15oqq0OhwOn00mfPn2w2WwMHjyYQKD7YkU2m40LL7yQUChEaWkp5eXlTJgwoUtOWloas2bNQlEUVFXlggsu4B//+AdVVVVUVFSg6/ET4ttsNmbNmoXNZqN///74fD4mTJjAlVde2W07hRBceumlHD16lNzc3I6nq70Bq9XKrFmzsNvtVFZWEgqF8Pv9ZGdnE4lEerzisKIozJw5E7fbTWVlJZFIpOMpbiQSObENtgcxY8YMsrKyyMzMpLW1lTlz5lBaWko4HEbTej6h4eWXX05eXh5Hjx5FVVUOHz7MrFmzun1zIllMnjyZ4uJiXC4Xl112GVu2bCEjI4PMzEyprWDnM1wuF42NjVxxxRXU19dz9OhRU2M+WXg8HoLBIFVVVaSnp3Pw4EFT9nJzc+nTpw+RSIRLLrmEoqKiXmtjCuc/dF1Pxf8ESMX/+EjF/55FKv5//pGK/yl8HiEEqfifAKn4Hx+p+N+zSMX/zz9S8b938blYTHc6ndxxxx1cccUVtLa2kpmZSWlpKYWFhVx00UWMHDmSIUOGcPHFF5OVlcWUKVPo378/dru9VwZ6IkyZMgW/309+fj5LliwhHA4zbdo06urqGDBgQELegQNV7N9fgc8X4NixOkaMGEhra4Cqqlr69s3t0qbX62Xjxo3k5eV1bL0yg5aWFtauXUs4HKZPnz6sX7+eIUOGdMtra2vjo48+Ii8vj/fff5+2tja83q4rFEeLLzrJzc0lKyuLrVu3MnfuXG688UaGDBmScNuHoii4XC6cTierVq1CVVXa2trIzs7utgCUruscPXoUIQR79+6ltbW1V7Z4xdrpcDjIzMxk6tSphMNhAoEA+/fvJy8vr8e3HyqKgs1mIzs7m0suuYRwOIxhGOzcudP09Ze1Z7Vayc3N7fB/KBRi48aN5Ofn9/g2IUVRsFgs9OnTh/HjxyOEID8/H7vdTmZmZo/a6mwzLy+v400Xm83GmjVrCIVCRCKRXrF5thG7aR00aBDDhg3D6XT22s0JwNChQ8nIyCAvLw9d1ykpKenybZIYjh07xp49e8jPz0dRlP8zNzMpJIdBgwal4n8CpOJ/fKTif8/aS8X/zz9S8T+FzyNcKf2fEKn4Hx+p+N+z9lLx//OPVPzvXXSb5kVRlFJgKVAICOAlIcRziqL0AVYAA4FK4HYhRLMSnTmeA+YCbcB8IcT2M2lkcXExRUVF3H///QghOgLkyy+/zLXXXtsxoKdNm0YwGMTpdGIYBpFIRL7YkwSEENTX13dsIysoKOD+++/H5XJxyy23ANGnstOnTyc9PZ3a2logWo3eEAKEQU1NA3375vDVr34Bi0XBarWgqhqlpYX06ZNNerqTmpqG9nxjKkIIhGFQU1PT0Y7p06eTlpZGY2MjEyZMwOPxnNpShDiZI4TgnnvuAaJPVqNVmJ2nHSOEOOkzgCuvvBKLxYLFYkHXddLS0rrl2Ww2CgsL6du3L5FIBJfLhcvlori4uMMvsSe4sf+G6IOUoqIi7rrrro5rf8EFF6Dresfvx3intvPyyy/vsN3W1kZ6evpJxzQ1NbXncsuMy4+H2LkFg8GT2mmxWCguLqZfv36UlpaSnp5OW1sbTqez47iGhgZ8Ph+GyDdtzxBGx1N1j8dzUmAeNGgQiqKQn59Peno6wWAQu91OXV1dh73YNsDTzqP96XW8Nni9XlRVxePxkJZ2YooYMWIEPp+PkSNHYhhGR79raGgAooUoAoFAXHsAhhH/OjU3N3fY67zlaOzYsVgsFqZPn95RdKK0tLSD7/P5CAQCiPz4vxu3DcJAGAJd1/F4PCe9rTB+/HgsFgtTpkzB4XAwY8YMIJqvr7W1lXA4TFtbG8IQCOX0cREPwjAwhMAwDOrr66W2w+m6DuL0sdsdYtffME7njRs3jsbGRmbMmIGu6/j9fvx+P0DHTXG8Md8VYm//xOPNmDEDm83WMW58Ph8+n6/jewEYp/DS09OZNm0aDoeDpqYmxo0bd1KfCgQCaJqGMASGEb+tsRugzt9pmvZ/5sbobOF8iP/f+ta3sFqt5138vyZYRfahNpZ94w8dn01lCsoehZmWa+AoKEfhUi6h/jUPy197FYDiSzYjsj/jnXeWdPDGjYdQeA/hMGxsrweVkSloa1N4550oL/1oPqVaE3t+fNlJ7ZhItHjnwV+8yCBg3yc/O+n7uVvqCb+3hHddJ293nyYEbP0rKAoZQnDg9d9woNP3aUouB5xu9r3adWHvNVt2s6bTf+dP2EXT8RDvvHP69nqnC5wuwf79J8591aqfRr+ryqFUa2LvTy4/iWMHrgc4Kqh76SWygLoPoK79+1Fb6wm3WHn3tz86iZcXeyNMUbALgV9ReLfT98V5N1CUWcruR9/o8vxOxXOzNY7Y81A+XHniw9jLZxYQg/ugtH+kAL9pP66tdiW2wkr2vLxcyt5tG8fhCAX59frvJDym8/s+v/77RwD0nbCb8aPaWLXqQyl7tiOZDNZUDv5ixkmfFwKVZVAE1G880e8O/Py3AFR7rmJieAjL73lVyp6maWhFVo5Z6/ntj58/6buqbYdACI7VBDj2SQUAO/6+CYA31Tw8fa5mzH+tlbKn6zpfP7qUwY1+3p37VMfnVuAwkCsEKAqF7ePjo6X/CUBJ/g3cn3EJB37wjpQ9wzB4YZifipCVY0+v6Z7QjstDtRREcnjr/jel6mYawuCCqTva55ilp33/t789TV4+gGD9+hNzlxCCF0NDaIu08qeXu37btDOEENy1aTyOUJBf/e3bp30f7PTvlz/actJ3F0/YxdYN77Mz/eS5Iic3Onr+/vdfA7Bq1dMn7HGina9LtBMBl6lBSitswC7zvH9inA/xv19xMQXnqf4XnNC6MvpfWARGMvqfGM+8/o9yxP9Z/d/S0oI753S/mNX/IjuxFj4VhiHgDPW/sEjq1V7Q/7HfjteO3tL/idYczlT/G1nm/SnatfiZ6H+Px5PQd/HPOzpPJKX/44zd7lBXV4eL+Hq81/S/OF3Hgwn9LwTCMKf/I+Godvd4PGiaRlNTk1Q7e1v/m8mZrgEPCiG2K4qSCWxTFOXvwHzgfSHEzxRFeRR4FHgEmAMMbf9zCfCb9r+ThqIoKIrSMbBjF+db3/pWx3cxdM6PJlOJOBmEw2F+/vOfk5WVJcXbuXMnV0wERYGHH37ZFEcIwcGDx8hWCzEMg4cffti0vSdcV6MbEX4gwQHQi2ej67qULYDrsi6FJHjXz4zeJMnytJlqUrxIJIKu61yfF83BtdAEP9juk+3bt0vbU1UVVVUZXtTPdHtvvi6Ebujs37+fhx9+WOopt67rBIPBuHZC14YStuHIkSNUVlby6KOPSj11NgyDQCCQ8LwWuq+O/n3K99XV1dTW1vLEE0+cFLzN2gsWROWaGX/OzpqGIQwaGxtZtGiR1JNZIQR+v59gKIiCYspe6NpQRyGdH//4x3GLJyWCYRg87pxBMBQy1TdjCAQCiIE3EA6HpfpoOBxmbs7lhCNyvFAoxLy5QtoegJhpEA7J8WLFaSKRCJqmxvVNcXExcHKfMAyDqqoqqfalcG7jf+e4f77F/5BDxSV0gqFg9wd3gt1iQVMsBENyN3YWrQ+q0YoWkbRH9IY1GJTj4Ypujw6FQlK0jgfOkn5J+vw6PeCWQvtiiOz56bYAwpJFOBh/e3picwIhIBSUs2fX0rEaOiFVjmcIAwRn7TrExLKsPcMQuCwWgopF6lrEFiVkr58hBBZLGygqwaD5MSiM5OwJIRA2P4rqlOOmtWGobkKS84QQnecYiWshwK8Wo9rCUn1UIJLuo7SLadk+k0w7AewWA6fRO+ke/o/iHOt/BUXhvNX/IRFCUcxpgRh27tzJpCtGJqX/VbUPhi6n/42ZOhFJDkTXDUBn0VlaN7g2fQoCeR0fCoX40o0qmqZJcWP6P1QQnV/NcBe6rz5j/R8cMty0vdlZ09D1ntf/EF1biNeO3tL/idYczlT/h+zR2GF2/UYIcUb6/7HHHmNO9mVxzyUebpoVRgiRlP7XrtEQwZBUXwsEAvwwZzbhcEhqzS8cDiP6zyUSiUjr/y/kXkEkCf1/0yxBKGzu/I7MuR2Ahc++Sl1dHYsXL2b16tWmbfW2/u+25wohaoCa9n/7FEXZD5QANwJXtR+2BFhHNJjeCCwV0ceMGxVFyVEUpV/77/QYTg2i5wI2m43bb79dutLs4sWLsdn3YlEs3HPPv5riGIbBwYMVBNPSsNlsHU+VzcDxejUA93zZPAfg8TXRJ5wytgDq3ipPitfw2c6keAtqfpUULwa7hH8eXxNdxBsyZEjS9mT84/M8SESNMGDAAO65554e6/Nd+ey9997D6/Xy9a9/XSq4dYdEfi4rK6Oqqor58+d3WaE9EWT6ad1b5eiGTmZmJnfffXdS28Z8ngdN21tQ8yt0wyA9PZ0777xTqhK5rutYX6vEbrdLjV2Px8NTm4LS84TP56PxL0ewpcnxvF4vwaZHpO1BcmM3GAxSVlaGzZaG1WqN65sdO3YAMHfu3I7PNE1j167UG2kySMX/xNg+8H3cbjePDHxEipe3LI0021WI20pNcwzD4Hu+aqxWK0/P6X6rZGe0XRv9W3az5NneXPlg4CgA/znXvF8g+fNrljw+hi8efQohBH0HvCBHdP1LUvaO7duHbtcpvWP0WenzDwePo6oqT88pkYr/7vY/sigrK+P6Q/m43EUcvdX8vfT4JGwB7Nmzh+evzcXtcvFs8f2mecn2l4qKCmayDFeJi+yiX5rm/XtNGZFwmP+69j6p+yKPx0PWu5fgcl2FuN38WPL5fEQqogX0vn1dP9M8r9dL8yeVODOcFN0y3DQvWQSDQSIVHul2appG1ht3Utpfbn75Z0Yq/ieGzWbDjh1FUaTuXxcvXozdbkNJQlUg9V0AACAASURBVP+nWcPS99nJ6uOOdYO7zs66wdEVe5PigZwmOxUy/rG/Xn3G+l9Wr6q9oP8hsc96S/8n8vOZ6n/Z9RvDMM5I/4PcGo63ZgGariWl/3ce/WVU/0v0NY/HA+96sdnsUmPX5/Px/bWNpKWlSev/5lWVSel/mXF7zIjuMpo/fz5lZWXMmTOHyZMnm7bV2/pfaqQoijKQ6D3sJqCwU4CsJboNDKKB9mgnWnX7ZycFU0VRvgl8E+gyn9j5jlAoJP1GlKZpIEAo5t+mim1NEdFdRlI2Y7udpd/cIlmeSNqeSIJ3pueXDD/21Dc5mPePaD82Zq+ngmlX5xwrYhIMBns0mCayGcv5FgqFzqhYi7nrIaL/b3+TMZnzEzLXT9BhT3au6CjMI/nWZee3384Gr+NYyXkJkht7wWCw4y3PRHNhzHedv9M0rVeK8/yzIBX/T8Zjh/6VfEsG1j113R/cCf85uIWKUDafbZR4Q1IIvv7ZKwxu9OPfoUrZa7T1xe9wEcko7P7gTlD7ZCGcbjKcOVK8lUYBdbhpc8ttsf965cvR89t5ds6vcPI+XPlBlE5bi83A/VkfSrUm9CNyD1GON1xNS2QAWljOnloIAWuQ1vU7pNJ9JH0djixmcKOf4G5Vyl5pwc3YsgYQlnj7CuBafSC/vCHAEXs6ht5omheu/wu2cBUXRMxzAPQ0g69smowjFGQHy0zzku0v2TkG/+0ZSpvayhCf+cX7Hx1+iCKRSdqeVqDVNC9LwPPDo2llZOYYIWxcZW+jIGTns5crzfMQ6IU26qxeGtfJZfRIqo8KhSuTaCdATfiH1NYei6aNSkEKqfh/OoQQKIoidf+qaRrRTFJJ6P/2/50N/X/21w2S58lostO4EucZ0xxnpv/N24udWU/r/xO/fHo7Pm/6X7afdk7Vm/z5ya/hJKP/RTs/OR1/dtYNYsfKrkuC3LjVba6OY2Opj2Tn3d7U/6Z7kqIoGcCfgX8XQrR2HtRCCKEoitQoEEK8BLwEMGnSpITc2uZfEXF5uPPZNpmf7zV8Je0+CkUmu578GzfokzEOGiiH5LYa3ldyK7+vrKAynI0tuN80r+CqL1H6aTp9wzl86jUv4B2XrMfIPkqllDQCe4mToMXHb7bLiZVvOh+mUGSir5Pzy1s5X6MylI1t76dSvMmWq6V9Aie2XTsu/dC0f+wlTnTFhyvdw2+2y4lpRDT/1becj5r2z8s5d1IZzibvCi+/Xn+g2+NPthe9CbNYT9+q1ZXPio3R/MvkUZS/1SRnTkS3llsTbA1L1A/7TjZ4cMJgamwvgFQfFei6gb0k3XQ/jfXNP975PLataSiKxHZmAYahszTvzvax230/jfk5e+4XqF9r0KDI9VH3JRukx67oK8gZ6pIfu0LwzT6PSI/dHGHnldxvmPZJZyQzdgXwnRmLqJ6QeF4rHBamNZDHihV7Oj4zDKMjv18KcjhX8f98RppIRxE2VE1u8TeW8kGNyKUbiKWmiKiSaR+s0bybqirZznbREZHkGRYDgUCVzE949s/PQAhDmqdpuahGK7rkdceIprSQ9aejPQWK9PlZovcbyV2HCGpElQzH0Xo+su00DKMjdY4aMZ86p6N/RuT7dSwtiaqb5wqS6y9CCPxqOqotTETCnl3LwKI4UNVA9wefYu/EHCORxgY6UsvI9VHR0UfPxlyRfDvBIcDQz+0bzZ9HnKv4/4u6LbgDWdif9CU65JxB6Ffx1MBXIfsztOpq07z5V+r8nCABqw/nEfP91/k1B869CygyMsg76XlF15iSfSkV4Wz+o8V8GwHGZOv0DefAWvN5ngF+Mni1tE8A/nfsyHafyBWNFULw6DF5v8Tix5Rc8/6J+WTiuO/xoaRfYvZ+MsS8f34zPOoT2zAbP6v4WbfHnwrDMBKmanmkOr7PhilD+Nac+0j76LjU4n0sH3mivOCJ+qFh9CPvC4/w1No6ktH/47Ix3U9jfbPt+y5sLQtRuq6de6o5dCO6vhG7Lmb66iPVD1JqZNBH1KEocv3zipyrpMeuEIKx/Qz6hu1SY1eQzS+HrZIeu30EPDU+ubGbqA/Gwwt6PY2ikd/VbqW1tZX169dTXl5u2lZv639Ti+mKotiIBtJXhRCxak2e2PYtRVH6caIe1DGg8z66/u2fJYVQmh3NYgO59JS9BpuWjkWJ5WKLVqm2WOQm1VAoiGFvQ2hu3C7z21oCRhCsQYSSjstl/k0Oh6KgoeCWfKMmoLlR00K43XI8W3PUR/Z0uSrPJ3wiuVlY80n7BE48qZLxT8wnVqs1erzE3K9rOpqmdfQhM/6J+STNapX2S6wIT9ytU134TFUjhMMRXJL2ok8LQzid8f2YyM+qphEMBXG53JLaXRAMhQho6ab7aaxvWiyR9qImMn00+qRXqp+2+9miKLhcTkl7yY1dwzCkfBKDMAS2FvmxK4RxVseuQODX9C59Y4sEcSqCxYsXd3ymqipXX321XPtSOKfx/3zGLi1CQUEOX3r8Dine3BUTsNvTmH3zb0xzdN1g3LI80mw2dnzpdSl7v/jFL5g9ezZjx46V4r388ssMGDCAa665Ropnf/FFRo0q5YorrpDiXbzsdyDgk7vkCoKuWLGCEreb66+Xe9903bp1lJeXS29NnbbtjxiGQdlP7pASmzt27GD3Bx/w4IMPStmr+M6rqJqNIS98VSqH6dzDh1m6dClPPv6klL0JK/6XSCTCji+9js1mM82rra3lmWee4emnn5byy6pVq5hT/xSZGRnMuulj0zyvdxYLFy7kuef+JuWXDRs2ULH7EzJzM7jx53eb5oVCIR544AGeffZZqXzMe/bsIbJxJxkZGSz7wU2meW8/+nsa2oJ88ad3SRVSrKqqYuaHPyFjQDqzb95omtfc3Mzlb/8at9vNlttWmOY1NDTQ8PjbuN39GPCs+blQCMGxxx7jvvvuk0qV6ff7ueSN3+ByOtl6+x9N81RV5a+TJlPUz3xqmBTObfxX8WEI83mNzyYUFOwWK7pixSZx3xsKhfAH3ahKiD5us2sHAn9AYNMyUHDgSpfQA/Za0N24XHK13RRLLSguqTzPQFI+AfA3x3wil+s+okaS8ktM/xv2NhST/on5xGpNw+V2oUgoVk2P6n8Z/8R84rCq0tehS/0PCX0WiUSIRCLS9oQQhENhnAnWtAx7bVw/a530v6RBgqEQisVrup/GfG+xKB1FTSUMEgyGcLlcUn015meny4XFIvcg17B7TPfNjlYKA8VSJz12DWEkNXaFEPhbkhu7MuO2tRUshoUXXniBbdu2sWDBAmbNmmXaVm/r/24X09urc/8PsF8I8V+dvnob+Brws/a/V3b6/D5FUV4jWnjEeyb50gZm3gvA8nsvTfYnehRvPrSEgPBy86KvsWjRIr7yla8wdOhQ03whBAsXPsZNA/6OxWJh9i2/NcXTdYO5c+9n091F2B0Ottz6mmmbh/61DZvNxvTn7zTNAfjN31Zgs1hY/qPbpHgrvvsSXouV2xZ9wzRHCMGcZQ8hENz85U+kJrlxy+ahKLDjzj9LtXPt2rWUl5dTujeadHX6L7sXAv+z7k2UUIis6tUsXbpUWkyvWbOGAN6OPtQdbnnjB4TDYV76QzHL3n5bqhp0eXl5VEz/4MnT2jn59S8BxO1HS5YsYdmLL7Fu3Top0VhbW8vTTz/NM888E9cvRxdEn4id6ud33nmHxx57jI0b35YSjV6vlyeeeAJX32twAcsX3dwt582HluDVGnl05U/ZsmULffqYz7QbDAZZsGABN0/ZgYLC7Fu6F6qTX/8Shq5T972NlJWVSYlGTdM4fJ8fl9PFdAmRWlVVxXPvrCMjI4PlT84zzWtqauIvj7+K1+WWGrv19fXMXPUA7lI3X7xtq2meEIKxf7gJh8MhJYp9Ph9TpkzhlsyF2NLS4o7bl19+GQVOGi+GYZzzPJufN5zr+H++Q1EUqTk5to311L5pwlLs/5K8E208WzyLxYLFYpH2i0L0rVOLxSI1TpOxdya8GKxWq1Q7Y8cnY08B6bbGzk/Wn7EjZe1ZrdYOjuz1U9oNJ2MvmXZGIXctYn6UHROdj5Ue8+0cWXtKp3+bRecHEvI8Rfr6CSE6rl1y7ZS7foZhSO7NTeFcx//WyZ/QCrw821yhzrOJRYsWUbznGqwWC6UmtCOc0P+OtAm4LBb+umiQKV5M/zcOr8PvcDDehHaM4QvLx2FLs/GF27aY5gBcvOwWLBaL9MP78m8fwWq1MuhXXzbNEULAY8uxAaufulMqfrz22ms0Rxrw22xSfonp/3l5qwBM67lQMMS4v2Umrf9L90XXG8z0GdeTb2IJh8n85Pe8naz+f/J0/Q9RLeyH03y2ZMkSXnxxaVL6/7mnn+aZp+Lr/3lvTAVO93NM/6/fuDEp/b/p4ujbxmbWxI4uqEbTdGau/j5btnyQlP5//vnncT21ChfwVxNrDq8/8L8cDwToe//N0vp/zooJuFwu5tyyyTSvqqqK697/V9LT09l2x59M85qamqh5aCpu99VSY7e+vh7156tJd6fz1x/eaponhGD5/S/SancwflH39YTWPvkoAOPa47/sfV9v638zb6ZfBnwV2K0oys72zx4nGkT/qCjKN4Aq4Pb271YDc4FyoA1IrupSJzQ0NPD++++jtz/ZM9q3ks6aNeu0Jy979+4lJyeHkpJoka6zuXhy4MABNm3aRE5ODrm5uXi9Xq688kp27drFpEmTElYODgbDfPzxJ+Tn56AoCn5/kAsvLGHnzoOMHj2EkpLERQuEEBw7dgyr1UpbWxuHDx9m2rRpJ1U1jwdd19myJRpcc3Nzqaqq4rLLLut2MhNCUFdXRzgcpq2tjf3791NaWsrEiRO79LUQgq1btxIKhZg0aRIHDx5kzJgx3b5RZBgGmzdvxjAMhg0bxs6dO7n44ou7LeQQrX5+kOrqagYPHkx5eTkXX3wxBQUFXfKSgRCC5uZmmpqauPDCC9m7dy/9+/dn+/bt5OfnM2bMmJ7NdSYEPp+P48ePM3z4cA4cOEDfvn3Zu3cv6enpTJgwocfttbW1UVlZyahRozhy5AiZmZns27cPXde58sorezS3GkTf3oj1ker2LUeHDx+mvr6eK6+8ssevYyQSYf/+/YwZM4b6+nqCwSBer5eWlhYuvfRSqZuK/0vQNI19+/YxcuRImpqaCIfDhEIhjh49yiWXXNLtPJPC5x7nNP4LIXjzzTfJzs5Oxf84SMX/xPZS8b/n7KXifyr+p+L/PyVS+t8kUvE/Ff9T8b9nkIr/5wdS8d88uh0BQoh/kDiZxWn7f9ureP/bGbbrJLS0tLBy5d9pbW2luLiYrKwsqqqq8Hg8jBkzhvXr13PhhRfS0NDAzp07mTdvHsuXLyczM5NvfOMbUltVzwQFBQWkpaVRWVnJRx99hKqqWCwWfve73/HKK68kDKZNTV5yc7NYu3YrublZZGS4KC8/2n7ToHUZTDVN4y9/+QujRo3i4MGDjBw5ki1btjBjxowu26ppGqqqsmPHDgDGjRvHtm3bmD59epc8wzB47733yM3N5eqrr6aiogKn09nt5K2qKhs3bkQIQXp6Om+88QYXXXRRt8HU6/Wyf/9+HA4He/fuZdKkSaxdu5bbb7+9S56maaxcuZIhQ4ZQW1uLqqrs2rWLmTNndslLFh999BGtra3RrbzLljFz5kx8Ph/l5eUMHz484bVPFlu2bOHgwYMUFBSwfPlyrrzySurr6/H7/QwbNizpKtWJsGvXLjZs2MCAAQNYsWIF11xzDWVlZUyZMqVXblgPHDjA22+/zZAhQ/jTn/7EpEmTGD16NKtWrZLefmYGFRUVvP766wwbNoy33nqLkpIS+vTpw8GDBxk+fDhFRUU9bvPzAI/Hw7Jly3jiiSc6xn1RUREej4ejR48ycuTIc93EFHoR50P8X79+PUKIVPyPg1T8T3x+qfjfc0jF/1T8T8X/fz6cD/G/paWFlZtXpuJ/HKTif+LzS8X/nkMq/qfifyr+dw25BL7nCBarhUgkgq7rpKWlUVFRQUtLC3/961+JRCLU1tayePFi9u3bx6hRo9i+fTtZWVkcOHDgrBacy8rK4tNPP+WGG27A7/ej6zr9+/fveEqemJfB3r2HmTJlNGlpVrKzM2lqasXtdhIMdl2kzGazcdVVV2Gz2Rg+fDh79+6lrc1csdZ+/fqhKAoDBgxg3759pirjWq1WrrrqKhwOB1arFb/fz6hRo7rlxSpE2+12iouLTafGycjIIDMzs+Oa5+fnm6rIq2kagUCAtrY2VFXF5XIRCMgVcjILRVG4/PLLSU9PZ9WqVbS1tdHW1kYgEKCmpqbHKwgrisLUqVPJycnhvffew+/309jYiBCC6urqXrE3ceJECgoKWLt2Lc3Nzezbt49Zs2ZRW1tLY6NcgVozGD16NKWlpZSVlVFXV8f+/ftpaGhg+PDhUlvBzGLYsGFceOGF7Ny5k6qqKvbt20dhYSFWq7XX+s3nASUlJVx88cVYLJaOcV9UVITdbsfnO/+KQqXwfw8ulysV/xMgFf/jIxX/e9ZeKv7/cyIV/1M417BYUvo/EVLxPz5S8b9n7aXi/z8nUvHfPHp2b0YvId2dztQRU4lEImRmZlJUVISiKGRmZlJZWYnD4eCKK67AarVy7NgxbrrpJt59910KCgqkciKdKVRVZdiwYRQVFdG/f39aWlooLCxkzJgxXW6Dqaw8Tm1tI3l52VgsFurqmpgyZRT791cyfPgF3dqNbbWoqanBYrEwYcKEbjmapvHxxx/Tp08frFYraWlpjBs3ztR5ulwuCgoKaG1tZejQoaaKP9ntdvLz8wmFogUcSktLTT3RVBSFYDDIoEGDGDFiBO+++y6XXXZZtzyHw8H48eNpbGzE6/XS3NzM6NGjTZ1fMojdJMyePZuhQ4dSVFTEunXrmDRpUsICIGcCq9VK//79mTRpEoMHDyY7O5sNGzYwZsyYXtl6Y7FYKC0t5dJLL2XAgAFAdEsl0ONPwSF63UtLS7n88sspLi4mHA7j8/kYMWJEr23dLC0tZfz48RQWFlJTU8PWrVuxWq3k5OT0ir3PC0pKSrBarbhcLvr27cvOnTsJBAIUFhae66al8E+AUaNGdRRTSsX/05GK/6cjFf97Fqn4/8+LVPxP4VwiPT2dqVNT+j8RUvH/dKTif88iFf//eZGK/+bwuVhMLyws5GtfuzHh97quY7FYOop7WSwWpk6dmnSxJ7MQQlBfX3/S5HXNNdfQ3NzM/PnzEUJgGAbXX389ra2ttLa2AhAIBDCEAGFQU9NAfn4Od901p/03AUT75FVEWpqVmpoGDMMgHFYRQiAMg5qaEzVd0tLSyMnJIScnh2HDhgGc9D0IhDBO+SzaVohOXIZhYJzyu0IIhBCn8SB6TXRd75h4TvVLPN5VV13VkX9r5MiR1NXVncaDaCGLzohV4LVYLMyePZu0tLTT2nn6OcOUKVMwDAOr1Yqmaafxmpqa8Hq9GEZmXH48xM4tGAye1s4LLrgAr9fb8dR97ty5WCyWjuMaGhrw+XwYIt+0PUMY0SrZ4TAej+ekQDJkyBBaWlo6gtt1113XfjNW12HP7/ef1k4A0f70Ol4bvF4vqqri8XhOugkcMWIEzc3NHZNoLG9dS0sLLS0t1NfXEwgE4toDMIz416m5ubnDnst1oqrzqFGjaGpqOimYBYPBjjcofD4fgUAAkR//d+O2QRgIQ6DrOh6Ph3D4xJsfo0aNorm5GZfLxeDBgxk0aFDHIl5NTU1HnkBhCIQSf1ycCmEYGO3zQH19vdR8pOs6iPhjtyvErv+p47k7eL3eaJtPGbtDhw6lubkZgKKiIgoLCzvGVU1NDU1NTXF5ZiAAQ5IXCATQNA1hCAwjPjcSiQAn9wlN0zo+T+Hzg69+9atdfn+u4v/oCStRso7zzjtqx2c5ObBmzWIuvjjat7dsuYOSEli7dnnHMf/tu4A2SysrXv76iR/Lhz2edSf++wCgwIeH4HeHoh/duXEijlCQX73/7S7b9XrZjpP+25KVzrvL/8zHb6+Le7yP6JtFb/5uxUmfvzO4kIZgiJ+ufyu+IW9l9O/1lSd93Ja7EVvlHxl0uOV0jgIfvvECAEuWnvzV7RvH4QgF+e918bMEbFjzDwDeL9vB+50+D2ang9PN8V2VcXnHaioA2PzZP9i8+h8dn7+p5uER+fzy6TVxeYnwtSOLGdzo570vPHvadx+2/30EKCWaH+G9F/4DgOK8G/hCZim7H31Dyt5z16kcseehfPSX0xMubH4v+neoBi7MA+CFf/wFgDbPSmxDKpn/ykQpe/Par8OLH/77ad/t+f3pBa0Wv78BgL4Td3P55DZWreo6xcCpUDWNjGP5lGpN7Nl3YqGkEDhUFv13Wvuf6veguv37as9VTItcxIpvLkcGmq6jF6ZxzFrPb3/8/EnfHSrbe9rxf/rNqwC8peZTWzCLcc99eNoxXcEwDKbb2yjw2Vn2jT+Y5hVfsp6c7M/4YO1rKBKlMw1h8GJ4CG1qK398ufuFtQ4IwTOHHqRIZLJ754k+mgscWr0aiF6DgcBAMmndv43dbEMIwfM3KByxu1ESzRUJEBjvYePauxmoxZkrErYTnjn0QLSdn8iNpQuufgRfuK77A1M4b1BYWMjXrktcWPJc6n9hCAxO3IOa1f8iK6aR5fW/IeT0fyI93mv6P8F6Q7f6n+T0f0tLC7nCeppfzOr/kj6JtfCpiOrmM9T/CXRwXHvt16Cn9T9E40S8dvSa/k9g74z1fxdrGae1wYj680z0v8fjSbjmFA/RY0WS+h9EAo2bCHV1dQjk9XhU/58+dk3pf5Gc/qeLOeZURMJR7e7xeNA0LVowVcJeb+v/z8ViOnRdSCTeU9+eLogQD+FwmJ///OdkZWVJ8Xbu3MkVE0FR4OGHzVUpjxbUOEa2Gu3IDz/8sGl7T7iuRjci/ECCA6AXz0bXdSlbANdlXQpJ8K6fqQFI87SZalK82NbB6/O+AMBCE/xgu0+2b98ubU9VVVRVZXhRP9Ptvfm6ELqhs3//fh5++GGpp7K6rhMMBuPaCV0bStiGI0eOUFlZyaOPPmrqrYMYDMMgEAgkPK+F7uhN0al+rq6upra2lieeeEJq3MbsBQuiwdWMP2dnTcMQBo2NjSxatEgql50QAr/fTzAUREExZS90bQghBC0tLfz4xz+WyvdmGAaPO2cQDIVM9c0YAoEAYuANhMNhqT4aDoeZm3M54YgcLxQKMW+ukLYHIGYahENyPFVVqaurIxKJoGlqXN8UFxcDJ/cJwzCoqqqSal8K5xZm5rtzFf+dWNGFQjDU/fbozvCr/VBtYUJBtfuDOyCwa+lYDZ2QGpJraJYbIQShkBwvdkMeCkryRHK8s35+lqjIkeVZLG2gRAhKXT/aV0rk7em2AMKSRSikSyypRkWYEJy162AYBgikx4NhCAwtD9VoRYuY58ZEtKw9YQicFgtBxSJ1LQxLzF5I7joIAWltGKqbYMi8mLNbLGiSbYzaA7+a3j7HmOcKBHYtA4viIBRpkrAnOvpoOKhLtRWi11++j8q3EwFWwLCcvaKUKfQMzlf9Hw6HUBRF6v58586dOOZe0q4h5PS/OlKV1v83zTIIG/L35vpMDR15Xf2E62p0dBbJ2iu8FpKwFwqFuLFgBpqmSXFj+n9wUWItfJqta0Nous727buT1v+h/EGAxHpDL+h/iGphOP28e0v/33xdfD+fqf4PhYy4vxsPC91XYxjijPT/Y489RrBkjmmb12VeihAkpf9vnKURDCW+hvEQCAQQX5DX4+FwmB9kzCQcjkiN3VAohCj9QlL6/7rMSwmHQ6Z4Q9RoWplVCxdSV1fH4sWLWd3+kN8Melv/f24W089H2Gw2br/9dvr37y/FW7x4MTb7XiyKhXvu+VdTHMMwOHiwgmBaGjabjXvuuce0Pcfr0Xd57vmyeQ7A42uiTzhlbAHUvVWeFK/hs51J8RbU/CopXgx2Cf88via6iDdkyJCk7cn4x+d5kIgaYcCAAdxzzz09tsWpK5+99957eL1evv71r/foTWkiP5eVlVFVVcX8+fOT2hIn00/r3ipHN3QyMzO5++67k9qi5vM8aNregppfoRsG6enp3Hnnnd1Woe8MXdexvlaJ3W6XGrsej4enNgWl5wmfz0fjX45gS5Pjeb1egk2PSNuD5MZuMBikrKwMmy0Nq9Ua1zexwkpz587t+EzTNHbt2iXVvhRSSATHgRtxp7tRptuleMaWapw2G9++1vw2ScMwOLp7L2muNEpuOztFf8Z3/EtyjnT9S1L2ju7ZCw4oveOipPiyGN/9IXHx7Qv6IgyD3wx6SIrXnKS966t/hq7r9B3wglz8T/I6HN+/H9WmUXLbyLOyKFVWVsaK1n64XW5+em2BaZ67/Y8s9uzZw9TtdtyuIo7eZv7ePdn+UlFRwVP6GlxuN88V32+a1+91N+FwmOC8Eqn7Io/HQ6QiiNPp5NuzzBdO8/l81HxyhCaHk37zhpvmeb1eZtf9GKfTSU6/03drdIkk+mgwGKTmk0M0ORxS7dQ0jXd/+RT9S/tzlbTVFFI4GTabDZvNjsWiSN2fL168mMM2O4qiSOv/NKu8/pfRK52RrK7uWG+4S4734OqjSdmD5NccQF7PiTPU/7LrDaqq9rj+h8Q+6y39n8jPZ6r/Zfqp/fVqdN04I/0PcmsOtW8cRNO1pPR/87HvRvW/RF/zeDx83/dyUvpfebMmyvuKnP5ftL45Kf0vM24/fes1AC657kbKysqYM2cOkydPNm2rt/W/EtuucC4xadIksXXr1rjfXfmzLxNxeRgozBXV6G18xXMfhSITu8tJKBTCYrFgkXzTIRKJ8EruYSrD2aRrZt9uEgRDIfrbXPQN51DcZv6J4agJf8fIPkplnpzo/8MhK0GLj1JvqxRvftMCCkUmFpvcFruXEuLqkQAAIABJREFU0vdL+iSKPB1pn3SGjH9iPimoq0+6QreMf2I+sfpb2wNNzwTTrnymaSqqquFy9Zw9SOxnXdeJRCInbfGSgUw/jfk+pIZxuVxJ3ZzI9NOYn3MaQrhcThRFro8mM3aFELxaniY9doUQ/EvzA9JjVwjB7zI+PXtjVwiCoSATL9uQ0DfONj+twXwGZZ0I0pqm8cgjj/DQQw8xf/58qXbGoCjKNiHEpKTIKcRFV/H/fMa8Z39FTTCbRov5BSuAK1sOUxDOYXiT3JZDtbCNgNWP1SEncP46rIT6zHSc7q6LmZ2Kr3/6OiN9FdhDcveIxxuupiUyAC0sN5+f7fML1/8FW7iKCyJyBbSGbYmm27EjtyOxcPI+XPlBFMk4Z99roVRrQhdyhbfO9DpYHGlS0X+lUUAdbtrccu3UNY3/t+s/Gdzox201Hz9KC27GljWAsMTbXhBdmPr1dD9H7HkYDvPF2pLtL4ZhcGfFIxSJTNJ082P+1/nVVISy+cxREt3GahLCMLiqtUJ6jhEIBkz7EJH9Ga1O82NJIHDstZ61PiqAAdPWJ9FO0DWVNl8OX53/rlQ7Y0jF/55HV/H/jl/8AE9bIZbI+Ze3OBgKMdql0Tecg81l/sF4JKJy3eBlkP0ZikTKoVAoyM/FaAJWH5kS88EDR+ZTZGRQZJNIpQQ8md5IRSibYMAmxRthD0n7BGBG/yXSPonhyeCF0n6JQcY/MZ+0NBlJ638Z/8R8EvZ+1uO51xP5TNM0NFWL2uvBTTyJ/KxrOhE1gtPpkglzHZDppzHfqyKrXY8nd4IyfTXm5wwBiuRaYTJj1zAEP8pooiIsN3YFgpH2sPTYFUJwdenSpMauzLjN0RoYELJyxQUL+e53v8u9997LxInmUxj2tv4/799MD6XZ0Sw2kN892CuwaelYlNjijUDTVOkBqesGhr0NobmJdFOtuzOEYYA1iFDSUVXzNh2KgoaCqsotdAW0LNS0EBFJXsxHquw24Q6fSOY1sunSPoFYPjI5/8R8YhiGtF8QAkMIKf/EfGIYIgl7USFnscZZqOzCZ4YRzdMu21+EiOZFsybYGpbIzyfsRZCL3gJdNwhoBab7acz3QoRRVbmxKwQYho6RK9FP2/0sEKiqJn2zkMzYFUIQ0LLlx65k3+xs72yO3Vj6ia58k27oWFWVFStO5IE2DIOGhga59qWQQgLYra2k4UCVzcPXnvIhosrxHO2pKWTjQKzuhmw7RXu8ko4D7XkpZdt5Ls5PCEEkImcvlgZF1WXjo4EQhrQ/NS03mgJFi0jlzsaI5vRN9jpIX3dLe3+RvA6GIdpT56hyY6K9fpD8fcqJtCRqxLywSLa/CHEifYqqBszzbH4U1ZnUfdiJOUYylVR7ahlZnq5lohqt6JIP05ObK5Jvp0VRQCJ1QQrnFg67gTViIM7HUjcCFIsfFBeqxJxg6Dp2ixVdsRJWTep/EZ0n/bobVQmh6uZTW9m0DBQc0vOIYWsDzY2s7FSc8j4BOvlEPn74NXm/CCEQCCn/xHxiGPLrKbH4IeOfmE8Mw4jGVYnwL9r1vzWe/oeEPjMMAyOJ+5QYN1FqmER+7qz/5fR4tCaBkWO+n8Z8j9Gux01bi0I3ousbMn31hJ/b5O7fSG7sxvQ4utzYle2bHTySH7sy49ZmUXES5s9//jOtra2sX7+e8vJy07Z6W/+f94vpAzPvBWD5vZee45ZE8eZDSwgILzcv+hqLFi3izjvv7Cg4YRbf//7j3DhgDRaLwqwbf22Ko+sGX/ziv7Pxa/1wOBxsvPlV0/aO3Ac2WxqX/fIOqXYu+eh1bBYLb/zHLVK8Pz3wP3gtVm55Zr4U79hrPwDgxi/t6ObIkzFxxW2gKGy7/Y9SvHXr1lFeXk7p3miutsueubVbzvJNb6OEQuQcXcUrr7wiNfnv2LGDDz74gABeAsLLDT/5SrecppU/IxwO8dLvi3lj5UqpHGaHDx9m6dKlPPnkk6d9N/XNuwDi9qOlS5fy0ku/Y+3atdhs5p9s1tbW8swzz/D000/H9cvx70Wf5J/q51WrVvH4449TVlYmlVPM6/WycOFCXIXX4gLeWHhDt5y3H/0DXrWRR1b+hE2bNtGnTx/T9kKhEA888AA3X7oTUJh144ZuOVPfvAtD16n73kY2bNhASUmJaXuaplF5v4HL5eKy/+y+b8ZQVVXFS2s+IiMjgzd+cJNpXnNzM6sWLsfrckuN3YaGBmb+9QncpW7m3LLJNE8Iwfjl83A4HGyaZ76InN/vZ+rUqczLXBid1+KM26VLl2IDFi++u+MzVVU7ihmlkMKZ4taSdygoKGTapX+W4o1b9jvsjjQ2z3vENEfXDQ7/215str4M+tVdUvaCv/gFs2fPZuzYsVK8l6v9eIcO6ChUZhYvvvgio0aN5IorrpDiHf633yOEgyG/7rrg7KkoWLECt65x/dzbpHjr1vWlvLyce+6V25r6x3//HYZTcMdz/y+p+P/ggw9K2bts+5/QNI2yn9zRY/G/K1Tev4xwJI3Bv7pLKv7f1k38T4RVq1bx8IA+ZGZksPGWZaZ5sfj/3NPPSfllw4YNzDnyEzIyM7jupjLTvFDoeh544AGefXY1drv5nWJ79uxh564P8WVkcNN/3t09oR23rJxGMBhk5vX/ID3d/BvfVVVVzFn3azLS09l862umec3NzXgeUXC7r+ayZ81rhYaGBmZvfJd0dzrrn7zZNE8IwWOPPcZ9982VSpXp9/upflDB5ZzBZc99yTRPVVUefvhh+vXrZ5qTwrnFd6cfAY4wcYL5eeFsYdGiRbwzah8Wq1VKj3//+49TsucqLBYLxc8MMcWJ6X/LpBvIcjj4wITWieGPCxbjTbMx9umvd39wJ3zxT5OwWCzMfWyzFG/Ca7disVrZetuK7g/uhMP/dgwhkI7/K1asIG1fGi6bTcovMf3vF178wNifdO+fW1ZeRigU5M+fjkla//9p8HYgvvY+Fce/10Q4HOb+ytdY2YP6H8D147dxwWk+i+r/l3hv7Xs9qv/ffvQPcf18pvr/lkHbkNHjuqbR8vj2pPX/s88+S8Pj0VodxSbWjOxPvokaCPCH786Q1v9/fvB/8TldjH3K/Nitqqpi5odfJCMjndk3bzTNa25u5vK378btdrNFYuw2NDTQ8HglbvfVDJC4bxBCoHz/T2TY7XxgYp3CsvR6cEDrCy+wbds2FixYwKxZs0zb6239f94vpp/vsFqtUhV6hRAoSvT5lIJMtXGlgxezK4fkK5vL8pJpoxACBQXRXslc7m3/qF9k2xlN0XMiOMnwY5XiZdp56vFm7MX6iaIoWCwWqTbGzq8rf8b7vdjxsvasVmsHpyu/nPqbZ2ov0e8mhHLi+sn6M3ZeyfY32TERG0yyfon3bzPtO5u8zinGkrJnwjedvzMMo0dzDqaQgqIk0efb+6Dc/CEXN05iJjHXnQkvFnOSmgsUpON/MvbOhBdDsvE/WXu9Ef970p7Z+B/PTjL3jDF7ybQTRfb++0S/lB0TycbjzhxZe8n481zE/9i1Szb+y/AMw3xKnxRSMAe5WB7T/7K8mP6PQUqrJsE5wUwmXsnr8TON/zEkEx9luLFWnS3932G3l/R/vHZ8/vS/fH87E/1/Jvo62TFx/sd/Rbqd8vpf6WRP3p+9rf8/F4vpDQ0NvP/+++i6jqZp0S0vqkpeXh5FRUVx3ww/F4sm9fX1fPDBB4wdO5aamho8Hg9Dhw6lvLycGTNmUFgYPw+RYRgcPnyM/PxsDh+uJhSKcOGF/dm58yDjxw+nqCivS7tCCMrKyjh+/DhTpkxhwIAB3bZVCEF9fT1tbW2kpaWxb98+pkyZQk5O17nphBDU1dURDodRFIUDBw4wfvx48vK6bqNhGGzfvp1QKERJSQmHDh1i8uTJ5ObmdttWVVXZvXs3/fr145NPPmHixIndFnIQQuDz+Th+/DhZWVns2rWLSZMmkZ+f3629ZCCEoKKigsOHDzNixAj27dvHsGHDGDRoUK/Zq66uZv/+/YwdO5Z9+/bRv39/hg4d2mt9v7a2lk8++YRBgwbx6aefkpaWxnXXXZf04kB3aGxsZNu2bYwcOZKqqirS09MZN25cr51fa2srmzZtYvDgwVRXV+NyuZg8eXJqATaFFM4RhBC8+eabZGdnp+J/AqTif/x2puJ/zyIV/1NIIYWzC5HS/6n4n4r/ceyl4n/PIhX/UzgTfC4W01taWli58u+0trZSXFxMVlYWR48eZdCgQfTt25fVq1czaNAgKioqaGxs5Mtf/jIjR4486+08fPgwNTU1HDlyBI/Hw6BBg9A0jSNHjpCens71118flxcMhvnjH//GTTddRSgUYdeuQxw4UMWYMUNYu3YLd945u1vbI0eO7LBjBkII1qxZg8vl4vjx4xQWFuLz+boNpoZh8N5775Gbm8sFF1xAW1sb+/fv5/LLL++WFwqF2LVrFwcPHgQgKyuLqVOndtvOLVu28MEHHzB48GCGDBnC2rVruf3227s9x61bt/Lpp5+SnZ3N0KFDWb9+PfPmzeuWlwwMw+Ctt95i4MCBlJeXU1RUxIYNGxg4cGCvTcYrV66kX79+rFmzhkgkgtPplE45ZBZCCN555x2ys7MxDIPBgwdz5MiR/8/eecdHcd75/z3bVwUVUEOI3gymGQGm28EluMXExD1xSS5O8sudS5yL40viO+cSOz3B8dkkvoT4HDs45+BeYtzBYFONEB0EAqGCunZXO7sz8/z+WK0s0K52nlEBcvPOywFm5rPfZ77zPPOd7zPzPI/UsDNZe2+88QYOh4NNmzZRVVXFhAkTunzZ0fe88847tLW14XQ6SUtLY/v27UyZMsXywqg2Nja957333kMIYcf/HrDjf3fs+N932PHfxsbmdNDc3Mz6dS/Y8b8H7PjfHTv+9x12/Lex6ZmzYiUWh9NBJBJB13VcLhcVFRWdQ/bWr1/P/v372bJlC2VlZZSWlnLw4MHTUs5Ro0YxZswYotEoS5cupbq6moKCAgoKCgiHky/ol57uZ+HC8wCFoUPzcDgcjBxZxJ49h2lpSb1gkaIoBINBioqKTM8B5XA4WLx4MV6vl+bmZtxuN4cOHUqpczqdXHDBBXi9XvLy8vD5fASDqcsohGDo0KEoisKJEydIS0sjEAik1LW1tbF27VpqamooKipi9+7dtLW1pdQpisKcOXPIyclh0qRJ7Nq1y5TOKoZh0NraiqZphEIhtm3bxoUXXthvN34hBM3NzTidTrZs2cKgQYMoLy/vF1txGhsb8fl8nW/gFy9e3K9vbRsaGsjIyOCjjz7C5/Oxb98+dL3/ViJuaGhg0KBBVFRUcOTIEaZPn97nK6jb2NjI4ff77fjfA3b8744d//seO/7b2NgMNA6H047/PWDH/+7Y8b/vseO/jU1yzorO9PS0dM4//3wWLlzIOeecw7Rp05g2bRpjx47lM5/5DNnZ2cyaNYvS0lJGjhyZdDhVf1NbW8s777zD6NGj2bVrF263m7q6Ovbt25dy6NXgwVmkpfnYsGEH6ek+0tJ8hEJhFiyYbsp2U1MTkyZNkrq5+Xw+CgoKWLBgAXV1dZSUlJjS+f1+8vPz2bNnDzU1NaYWVTAMgw8//JCMjAwmTZpEIBAwdZ0yMjK48847Wbp0KZmZmbS3tzN//nxT5XQ6nRQXF6PrOuFw2LTOCi6Xizlz5tDa2sqJEydoa2vj2LFjJ80L1ZcoisL8+fM5ceIEy5Yto6mpidGjR/eLrbi9RYsWUVNTw/Dhwxk0aBCDBg3qV3sLFy6kurqaz372s7HFeoYO7bchZQDz5s2jtraWzMxMDh06RFVVFZqm9Zs9Gxub1EyaNMmO/ymw43937Pjft/bs+G9jYzPQpKen2fE/BXb8744d//vWnh3/bWySc1ZM81JQUMAtt3wu6f7ly5f3ayNLhmEY7Nu3r/Ots6IofPGLX8TpdCKEQAiB0+lk8uTJuFwuysrKgNjcarphIISgrOxA5+8FAiHOPXcMQoDT6WDOnHM7jzEMg0AghGEIDF3v/K2u1NfXU19f3227VxgYRmKNx+MhJyeH0tJSgsHgScfE3/4n0jmdToYMGUJ2dnZHGbvqBGB0002ZMgWIvRUfNmxYt982RMzezp07u9mLP4zMmTOncw61rjpFJC5nfE62OXPmEA6HTzqmoqKCqqoqdD0j6Xmeiq7rnW+FTy1ncXExhYWFJ9XFrsccOHCAmpoaRonBUvYMYdDW1sbOnTtPGlY1ePBgsrOzcblclJaW4nQ6T7J39OhR6urqEvrT6HjDm6gMx44dIxQKUV5ejsv16S0iPT2d0tJSDMNgyJAh3X63oaGB+vr6hPYAMvXE9enw4cOEw2F27dp10ptgp9NJaWkpLpeLnJwcFEU56e17IBCgoaEBPTf5uZyKrusYukEkEmH37t3dHgjifpw4cSIAe/bs6dynqiqNjY0YSc4jEYauo3fM8bh3716amppSarqW1WcI9CRtNxnV1dWdehlda2sriFi7l9E1NTUhENI6iH1hoUvqQqEQqqpiGAa6nlgb/1qm6774VyM2Zxdf/OIXe9x/uuL/f1flEjzRyIg9Mz7dOBn+rr4Dg4BBcER9GSbDozvf4dGO2+JDB75Fochkx5aTvwRrI8wUxsf+sVNhHtMxKhR2cAgQrLgCDnkGwTtrEheo/gDs6b75lswdhF97gbIXuifaHiAXmIMg+Oc/0rUlzdpcj9ri5NWfJx86PkQIKp9RqOyybd7gq3CX+djxyomTjp1KfLhshBHkIPbvYwf7OvevWKpzyDMY3n2+u6E0oO0oTCjg2erdUL27c9etjS8y+kgFZZ883E0Wn5F1HoLwX5486fzCtReQERnOnzf8T9LzS4SaJwg6Azz+nysS7o8Se7De+veNbP37xs7tz2tDqBVj+cNP35Syd+vB3zO6IcAbl/+qc/HaOMVCEFAUioVAVRRe+/mn+4YN+RzXZ46m7L6/SdlbcUkkdh3Wv9J959ghPFMXu2Y/POU6tZ94EdfUw9zyh/Ok7Gmaxo1bZ+ENt7Pi1a9321/24VYAgsBvX/rUd/kzd7JkfohXXv2MlD1d18msyqNEa6Rs17yT9s1BoNQonAOw8yX27PxZ576qugtZZEzj2a+tRuZ7PN0wGDFvGyKrkhdfWmVa95sTBYQcrTz/l/kgYVEIg58f/HbsHrP1OQmd4NHxbVSEHRyTqKNCCG47+iSjGwK8urR7G+yJmwZfRdtDb7EjI0PCHjw6Tr6cAO1Fl+FOd/BdKZXN6aSgoICln70l6f7Tmf8bhg7E8l+p/N9jIIQinf8LIZI+1yfL/w0j+bN5T/m/MAwMhHz+LwwUo3t+lCr/dwsBQj7/P3r0KIZRktAvZvL/HH14t7Ikoy/yf2O4+Xw1UzcwDNHn+X/8XBKVo7/y/2T2epv/99SXcSqGrmMYvcv/y8vLyZHpA+joR7OS/xsieX9fMqqrq2P5eJLcOBmtra2d5ZXN/wdbsAexe4VZe6OCsZEsu3btQlVVDh8+LGWvv/P/s6IzHXpeUKRrgx9IotEoTz31FFlZWVK6zZu3cekiDUVRePTRt01phBBUVjaSoZcgVMGjjz5q2t7d4nyiUU1KAyCyF6HrurRuoWsahm5I65bMNRDInRuAMS92M5XWdbzQUB0jTesj2YvQdI29e/fK+7PjQSjiU03bu2Shiq7rHDlyhMcee8ySvUR21HmRpGXYt28fNTU1PPbYY9JzorlcrqTndbc4P6HNI0eO0NDQwMqVK6XbclpaGpFI8nM5lUWuaRhGbP7lJ554Aq/XK2UvMzMTNWL++qnzIghhEAgEWLVqlek5DSF2/e40ZhFRI1J1LRAIIPIvIhqNSulUVWWxe4a0LhwOs3QxRCNyOgDmQTQid37RaJSmpia0aBRdS1y/48Ndu+4zDIOamhq58tmcVsx8aXW64n+zkUnUiBCJNEjpPFoGDsWLGkk9PLorujuIcAwiEjGkdAAIgdpxnzSLm1iHQERVrZhDldRZPT8hsHR+IBAI6XJ6HA7aFQeRiJxOKAKQL6fDEQIlQiQi+ZVUx1dx1q+DjlQnrhGzF5E8P8Mw8GjpOA2diGa+rAZxe3LnZxgCQ8skarSi6+a1ouNjD9n2IITA43CgSdaZQDSdqFtF1SIoUp3pwvI9RrgDKFGfXB0VoqOORomoUSl7Mbl8G7RWTjBcLjTHwHe82lglVu/P1Pw/Eol25PHmn183b95GdNYCQOHRRz8wpYnn//maFnvpJWFvoWsaUU3+2fyShQbo8nm1mGegGfL5/7/opYC8PV3XMQYXE5HMI+L5/3hvgWm7lyxU0TW9V/m/qprPV+8W56MbfZ//Q6wvI1E5+iv/X+SaltBeb/N/K/l4b/L/lStXJu3LSEQ0ayFCCEv5/3zlXFTJeh0IBLhiCUSicjpVVRELhKX8/17HPGkdANkLTevuyT0OwO9+9zuampp46aWX2LZtm2lT/Z3/nzWd6WciLpeLK6+8svMtqxmEEASDQdzuchyKgxtvvMmUzjAMtm3bTrvTidvt5sYbbzRt0/PXYwDc+AXzGoCyN2tjOglbALVr9sd015rXCSGor1wPwA033CA1XO3j47EvxGTLGUfGP2Vv1iKEYNSoUdLljCPjn9aazUSIMHToUK6//vo+W/CjJ5+9/vrr1NXVcf311/fpg2oyP3/44Yfs3buXa6+91tIcZd+VqKe1a/ajGzoZGRlcc801loaqtdZ8Ytrex8dXoBsGaWlpXH311SlXoe+Krus4nqnA7XFLtd2amhrKP2rH5XJJtYm2tjbqXzwY0y03r2tubqa98SNcbjl7YK3thkIh1q5di8vlwul0JfTN1q2xrxk/+9lPF2/SNI0NGzZIlc/GJhla9VVkpKfzjcU5qQ/uQAjBsZ27aHa7KPz8BNM6wzC4rPJHuJwuBpc8IlfQKV8j+YytPXBx7A9zs7B+SrMFU0IIrqh8CIAhw38rF1ctnl96x3+yFPz5IIaRQ93NY6TKOSP1IQn5xoh8dF3nsZH3SsV/K9cB4KpjPyEa1RhS8ohc/Pffbsnehx9+SKE7nbRBfgqWjbf0GzKUlZXxREsGfr+fhy8pNK2zWl8OHTrEoPfnkJZ2AVzb83QPXXFtr0WPqHx5Sb7Uc1FNTQ3HP6mkyeen6Brz95i2tjYuOvE0vqE+cob+xrSuubmZbxfn4PP6eKTkLtM6sFZHQ6EQF9f8J54iD7nFiUeHJELTNG45UEuhyeksbGx6wuVy4Xa7cDgcpp9f4/m/y+2O5f9fkMv/sZD/W8nHIZZ7gnxebeWZXgiB48+xEXhW8updFvsqQD4fV4Xaq/x/q4R/PH89RjTa9/k/JO/f6a/8P5mfe5v/S+fjeu/yf5DrM/rkjWo0TbOU/1f9dTcet1uq7dbU1CBCW6TvE21tbXxY+6h0v0FzczO8UBvL/6/rvz7G/K2xr9C/sOgLrF27lgsuuIDZs2ebttXf+b/SX3M6yVBaWio2b96ccN/ih28k4q9lpDgzhuffXPtNCkQmHr+PcLgdh+JAkbzBRaMRVuUc5LCaRVrU/JcVYTXMMLefPDWboqD5m/jkmWsxso5yeLBbqpxP7XfR7mhjWEuLlO62xnsoEJkoLrkvQH6fsVvaJwBDDEXaJ12R8U/cJ3l1J/B6PDIfbnUi45+4TxyBVnzevlsMoyef6bpGNKr1+eIbyfysaTrRaASfz3/qKHZTyNTTuO/DURW/z99t2LwZZOpp3M/Z9WF8Pp/0w5eVtmsYgqcPuqXbrhBwe5N82xVC8ETmngFtu+3hdkrnr0/qG18oSGv7EPKdN3Ru0zSNBx54gPvuu49bb71Vyl4cRVG2CCFKLYltEtJT/D+Tuf+uh8iK5lEUlEs4hs97H5FVSYtPrgvYW+6kRGtEE2lSOse2JtRmJ7Ueuft5oyefgNdPJENuDtqCWeX4h4TBL2dvoM9veMHncQ8qQU2T6yL97YJWDnkGo3t0qfCv1r+MWz3CcFVuJMOEzTPxhtvxIJf49fo6GGlSzzfV9UtojgwnqsrZ03UdMTRC0BnA4TXfll408qkjjZBfrr7ous4/7fgFoxsC+B3m45XV+mIYBo/nH6cinEWlN/X8wnEWtxwiX81mfIMqdR2EIRix4APpe4wQ8NvaXEKOVsZgfji6EIKJW0oHro4KeMRCOUEgjCglupuHv7FDqpxx7Pjf9/QU/z/5tz/j19PJ9suNsBgIwuF2fjSohQo1i5DEM0A0EmVqhkGemo3bZy62CgRqWGXpuNWQVQnhWtP2HgyPJehsI1MyWb2n4lYKjQwKXDJtDB7MaKQiLOcTgHM8qpRPunJhyZ+k/RJHxj9xn2TrNdJfNXfak/BP3Cc6WXh9XqkRSqlI5jNN09C0vs//k/lZ13UikQg+v8/S+cnU07jvG05E8fv9lvpvQK6uxv0s2muk838rbdcQBvcevl267QoBP8xolL6fIQTneCOW2q5Mu233utDb0mlJ/wbf+c53uO2225g+3dyaEtD/+f8Z/2V62OVBc7ih/xbxlcKtpeNQPJ3/1g0dxZAblmwYBoYnhNDS0NrND4sUQoCzHaGko+vmO/C9ioKGgqbJOTGoZRF1haV1cR9pEkN2gS4+kRzO7NakfQKxTkeBkPJP3CfCEGiSK0sLIRCGIeWfuE+EEBYWwxDoupF4PsEefKbrRscQMTl7QsTagyvJ/IXJ/BwbbkeHPYnhzAh0TZeqp5+2XxVN1+SGTxMro5ErUU87/By7Frp0372VtiuEIKhly7ddISy1XYEY0LYrOsrak2+cho4rGmXdhnWd2wwjtvaAjU1fEPZq+IWQjo/xKR80TW5KBL1jagpDMu4oRmy6Fk32ft4xDFo27sTni9Ul/WL5/IS18yOukzy/+DQouiY7HY01e/EpUDRD8joQm5rE6nXQJeMjQsSeiyTtGYaBr2PqHBnfCEWsHs3/AAAgAElEQVRgWPCn0WVaEqk603l+FtpDx7QkUlpXCCOa1lFGuevw6T1G5lqIzqllZOua5Tpq6V5hvZxuxcBnyE9bZXN6iGiZuIWH2IoJZx6GJwR6Grom0dllGCiOACh+qWeA2HRRTnTFSUTivhXQ0ogqYTRD7uW9W8tAwSsdPwx3CDQ5nwAovrhPJO/nhmHJL0bHc5GMf+I+sfJ8Y4jY85SMf+I+EYa8PSFic+UnW08gmc/i09/omiYbdtB1HVeSD7GS+dkwjM5cXhZd16Xqadz3EOtclevcjj3buFxOqboa97OqS9oT1tquQFhqu/E8XvZ+JoRA8VtruzLtNur0EXZ42bBhA+3t7ZSXlxMIBEzb6u/8/4zvTB+ZeQcAz9wx9zSXJMaab/+JoGhh2QO38MADD3DTTTcxbtw4qd/43ve+y9XD38ThULh02eOmNIZhcNlld/LRlwrxeL18fM0zpu0d+IbA7Xax8Dc3pD64C6vefxa3w8GaB5dL6Vbf9XtaHE6W/1Ju2G/V0z9AIFh24ydSuhnPLEdRYOv1/yule/fddzlw4AAl5bHx7At/eW1KzdMbn0cJh8k59ipPPvmklL3t27ezdu1agrQQFC1c/dCXUmoa1zyEqqr87qmhrHnxRalhXgcPHuRPf/oTDz74YLd9s5+L1YVE9ejJJ59k5conePfdd3G7zX8RXVtby89+9jN+/vOfJ9x/7J7YS6hT/fzyyy9z//33s3HjRtLSzH9l1trayv33348//yL8wJofXJ1S8/y/PklLtIH7XvwxmzZt6lygxgzhcJi7776bZXO3oaBw6bLUQ4ZmP3cDhq5Td+9GNmzYQHGx+S/TNE3j0D/r+H1+Fv4qdd2MU1lZyco33yUjI4M1//5507qmpiZeuv/PtPjTpNpufX09F71yP2klaVy+fJNpHcDUp67G6/Wy6QurTWsCgQCzZ8/mmkHfw+1yJWy3q1atwgX88pe3dm6LRqOcjV9A25yZbBv1NgUFBXzvavOxGODAN1x4PC4W/lpumpc5H+3F5XKz4UfXSdn7yU9+wtKlS/nc1KlSuj/84Q9MGDGCJUuWSOkef/xxhhVPZuHChVK6OZtifvzoIbnnlNWrV+P3+/ncVVdJ6eLx/ytfuV5Kd9Uz0xGGYNlNcs8p27ePZ+3atdx7771SutV3/h7NG+WGR77WZ/G/J+ZtfZZIJMKGH11nLf7/LnH8T8bLL7/MmBdqycgYRolEnLu1I/6vWLFCyi/r16/nK8U5ZGRmsmn5X0zr4vF/xU9WSPmlvLycizf/JxkjMlj6+Y9M62b/7//Q3t7OR//xtNRzUWVlJYEHBenpS1j4G/N1u6mpiR/9+CXS/Gk8I/HMX19fz6uf/IX0rDSu+YXcM/99993HN6/+ptRUmYFAgB//xxr8fr9UOaPRKDvvHcHQoqFSZbQ5fRzLj9WLSd/6bIojB54HHniAq0e8itPhNJULxPne977L61P243A4+Pia75jSxPP/r7Z/Ha/XyzATuWocx7+tJt3l4p3/uMa0BuDZu56g2eFg+i+/LKW7YvV5OB1OLv+CfC4gBJR9McEC5D2wevVqCtddgNvtlvJLPP77G4bgB94xmT/Wh9t5tflDy/n/NaNiC3ubzR9VVaXk6Qgv9mH+D3DsntgIuVN9Fsv/V/Z5/u9/8PmEfu5t/h9IayEATH8odT29Zs1cNF3jzj82Wc7/V/xiBfNfjPXdmOmHO3LnCYLBAFn/sVQ6/+f7f2WQ32+qbsaprKzk3R+/SGtGOtN/Yr7tNjU1cfFLC0hLk8vj6+vrWfjSLaSlpbPlumdN6wD2f70Kr9fL8F+nzmlWrVoFTnjooeW89dZb3HHHHVxyySWmbfV3/n/Gd6bHSTQdTfwtT9d9ibZ13d7XKIoi9dsnl0tGe/Jx8ucjV87e2Iofbd0v1q5Xb6/xQNscCHvx45PpUv1ef9SZU/d1/bfV85PSdjnsTL5+vfHL2aBLdN/ua5t94UOb00dP09CdCfFf9ret1/ne1WPZ55Te6FLFnET09npZPT8rtnqrHUh7Vq5Fb+xZ0fVF/P+HjKt98JxyJuvibX6g2q4d/89eztT8X/b3rZert/n/2XEvsG6zd3HOqvZMt2cmPlrdZ8aumX0Dnv/3UJb+1v9DPqdY1PVF/n8mxf+zojO9urqa5557Dk3T0HUdp9PJiBEjmDhxIpmZmZ0r5d500034/X6MjmlX/vjHP+J0Orn88svJz8/v93JWVlbywgsvMHPmTGpqamhsbGTw4MEcOHCAc88996TF8E5FVSO88cYGBg1KJzc3i/37j7JkySyyszN7tGkYBrt27SI9PZ1AIMC+ffuYO3cuQ4f2/PWFEIKDBw+iqiqBQIDy8nKmTp1KaWnq6QCFEKxfv549e/YwZ84cpkyZklJjGAbvvPMOwWCQ4uJiDh06xOLFi01dl3A4zPr165k3bx4bN25k/vz5eDyeHjVCCGprazly5AiDBg3i448/pqioiIsvvrhfGpUQgnXr1lFVVcXEiRMpKysjKyuLK6+8st8a8aZNm9i3bx8zZ87ko48+Yvr06UybNq1fbEFs4a7t27czdepUysvLEUJw3XXX9ekiJV2pqqpi48aNTJo0iUOHDjFkyBBmz57db/48evQob7/9NqWlpRw7dgyn08lnPvOZPl30xcbGRo4nnniCnJwcO/4nwI7/yctox/++xY7/NjY2A00s/z9kx/8E2PE/eRnt+N+32PHfxiY5Z0VneigU4t13N9La2kpJSQmKovD888+zdOlS9uzZw/jx4/n73/9OWVkZS5YsYdu2bRQXF7N161bcbjcXXnjhgJSzubkZl8vFe++9x6RJkzh+/DgzZ87k4MGDDB48uEdtdXU94XCEY8fqOHasjqlTxxKJpJ5PzTAMtmzZwqhRo8jKyqKoqIh9+/aZCqY7d+5EURSWLl1KXV0dJRKr3M+aNYsTJ06YHrZiGAY5OTnU1dXx6quvctFFF7Fx40auSjE0Ox64N2/ezOTJk3nvvfeYM2dOymAKUFFRwY4dO/jyl79MXV0dhYWFpspqlR07dpCfn8/IkSNRVdXyAiVmEEKwY8cO/H4/R48e7ax7Qoh+CzY7d+7EMAzy8/Px+/1UVVUlnY+ttwgheOONN3C5XOzcuZOioiLKyso477zzpIaeybB//35CoRDV1dVs2bKFKVOm9PhlrI2NTf+za9cuotGoHf8TYMf/5Njxv2+x47+Njc1AEwoFeffd9+34nwA7/ifHjv99ix3/bWySc1a8clEcSudiAS6Xi/r6ekaPHk1FRQUzZsxg9OjR5OTkcPHFF/Paa6/R0NBAfX09uuRCVr0lMzOT4uJi2tvbqampITc3l4KCAlpaWpg5c2aPN7n8/FycTieNjS04HApZWRkcPnw8pU2Xy8Xs2bNxuVwEAgGqqqqYPXt2Sp3D4WDWrFl4PJ7OSfnNvr1XFIXGxkbS0tJMzzmlKAr79++nuLiYiy++mAMHDnR+QdATbW1tbNy4kUOHDuF0Ohk/frxpe1OnTmXQoEFomkZNTQ3jxo3rt0AjhGDBggUUFRWxe/duKioqOPfcc/t1aMmsWbOYOHEix48f5+qrr2bjxo39ZksIwZQpU5g1axZbtmxhx44d/fqWGGJzXI0cOZJt27YB9FsQjVNSUsLSpUt57733KCgooKqqikgk0q82bWxsesbr9drxPwl2/E9uz47/fYcd/21sbE4HSsfCxHb8744d/5Pbs+N/32HHfxubnjkrvkzPGpTF5fMvJxqN4vP5aGtrw+FwkJGRwZYtW0hLS2PJkiWMHTuW5cuXs2nTJkpLSxkzZgxOp5PMzJ6HSvUVuq6zefNmSktLKS8vx+/309LSwqWXXppyqIjDoRAKtTNnzrn4/T4OHDjKrFmTTdnNycnB6/WyZcsWQqEQNTU1jB49OqUuPT2dESNGEA6HmTZtmtSNUVVVpk6dalqjqipNTU0IISgoKCAajTJv3ryUuszMTL797W+zefNmBg8ezIQJE0wPK3K73YwfPx5VVZkyZUq/z5lUW1tLfX09ixYtIi0trd/e2sZpamri2LFjjB8/nvfff9/UcLveEAgEOHDgAPPmzaO+vl5qsRBZFEXhwgsvZN26dSxfvpzy8nLGjh3bb0PKILbgR/xriYMHD5Kent6vXxfY2NikZv78+QB2/E+CHf8TY8f/vsWO/zY2NgNNVlYWl8+18/9k2PE/MXb871vs+G9jk5yzojN98ODBXHHF+Qn3nToP2cSJE1myZMlAFAvDMNi3bx/hcLhz2/Lly1EUhVGjRgGxBpqVlcXOnTs7jzlx4gS6YSCEoKzsQOf26dMndP79vPMmUl1dT3V1faetQCCEYQgMXaesrKxbeSZOnAhAMBg8ab9XGBhGYg1AY2MjQLf98TfHyXRtbW3U19d3224YAjC66eKdIhC7prW1tdTW1n6qEzF7XX0VJzMzk/LycjweD3v37j3ZnjBQROJyejweKisrE/5uRUUFVVVV6HpGj+fZFV3XEULQ3Nzc7feKioooKiqiqakJh8PRbf+BAweoqalhlBgsZc8QBm1tbezcufOkh7Lc3FxycnJQFKXzYairzaNHj1JXV5fQn0bHVxuJynDs2DFCoRDl5eUnBa/09HSmTp1KMBjE7/d3+934FyGJ7AFk6onr0+HDhwmHw+zatQufz3fSvtLS0qTnFwgEaGhoQM9Nfi6nous6hm4QiUTYvXs3gwYNOml/3M7kybEH2fLy8s59qqrS2NiIkeQ8EmHoOrphEI1G2bt3L01NTSk1XcvqMwR6D203EdXV1Z16GV1rayuIWLuX0TU1NSEQ0jqIffGgS+pCoRCqqmIYBrqeWBsMBoGTr5GmaYRCIany2ZxeFEXhiiuuSLr/dMb/+/Z9jSEHMtix8bnObcuZBuujjGQ8NEN01S4GAWUv/a3zmN+ObKQinMWxn54aO+dAdfzvw/jJHzQgfozg1iOrGN0Q4NWlP09YnvSO//b85RH2dNle5Mhl3aaNvDuoSOr8wlkZNByoZN+Hie/nyVgTHczK6gbCG988Zc8YaAUqNaCEn6365KS9t1b8N6MbArx22S8T/u7rHX/WnrJddeTS6EtjxZrXEurWd/y59pTteTPLGDKknRdfeqrnEzoF3+FsSrRGdv7n/JO2F3X813TwtziAnS+erKupu4BidTh/vv1/pOypeTpBZ4jf/fi3CfdvPxSrI1sOb2DLGxs6tz+vDaGW6fz1Z6eeec/ceuB3jG4IsPaqX8MpHRC5wJ4//xqAU709bMjn+HLmuZTd9zdkGKpp/PJKhUMeL7yz5uSdo3J4quUIDMuASB28+3znrvYTL+KadZjbVqWe57cruq5z05ZSvOF2Vrz69W77N7z9Yefff/u3Vzv/nl+6k0sXh3j9jYs4dUHAnjAMnZXqWELRVv7y3zNM6x448C0KRSYHd74uYw5hCB4dH6Ai7OTYT09tgz3ohGCRO0R+0CNVRw0h0PNdVDsbeeyHvzFfUGCbdwpX/n4T4fTd5ssJLHIHyQ+6pcopANofoKqqiiulSmlzOonl/4nbzenO/w3DgC65p9n839DjOvn8P9kzb7L8P17Ogcr/hSEwrOT/hgCEdP5/9OhRSo3ChH4xlf8bOT2eZ1di+Xjv8v9JI83nq4auI4y+z/8heT7eX/m/nqTPodf5f9HA5v/l5eU99p+cSrqhI8BS/i+EkM7jY/l/8vtEMjrzf0ldLP+nxz7GZHiEMK2L5/S7du1CVVUOHz4sZa+/8/+zojMdzsyV2KPRKE899RRZWVlSus2bt3HpotiwtUcffduURghBZWUjGXoJQhU8+uijpu3dLc4nGtWkNADaoPkouiKtm69M6Tg3Od2SuQYCuXMDMObFbmzSuo4XGqpjpGl9JHsRmq6xd+9eaXvxG2PEp5q2d8lCFV3XOXLkCI899pgle4nsqPMiScuwb98+ampqeOyxx6QX33C5XEnP625xfkKbR44coaGhgZUrV0q/eU5LS+scimXGn4tc0zAMQWtrK0888YT0m+fMzEzUiPnrp86LIIRBIBBg1apVpKenm7YlhOBOYxYRNSJV1wKBACL/IqLRqJROVVUWu2dI68LhMEsXQzQipwNgHkQjcucXjUZpampCi0bRtcT1Ozc3Fzj5GhmGQU1NjVz5bE47Z2LsB3CJdBThRlVbpHTCHUCJ+lAjmpTO4QiBEiWipp5L9ST8sXtJpOO+ZZ50SzqhiFhclRwiO9DnJzr+T1YX1XKIGq3ouqQ/RayzQFXldB6Hg3bFYek6ABavQ4SIZP2MnZ8ifX7CEOjuIMIxiEgk9dD/rjpAeii2YRh4tHSchk5EM19WQ1izJwxBIJpO1K0S0cxrPVoGDsWLGglK2YOu9xiJsgoBrhBGNA1Vog0KwGuxjqIgf6+wWE4AjwBDPzPjiU1yzsRngGg0SiQSkc51N2/eRmTBMBR06fxfn6ShSub/ZC9C0+Tzf6t5/EXzNEs6Y06s01FWp+s6uiMvaa6b1F5H/h8ZHJs6xmz+qGt6r/J/2fxRN/o+/4fk+Xh/5f+R7EUJ7fU+/5frTxG9zP9XrlzZY//JqdxlzIGORZJl8389cz4Ryfw4EAhwUdpsolE5naqqfHaRsJT/s1BeB3A35xMx2W8Qz+l/97vf0dTUxEsvvdQ5BZAZ+jv/P2s6089EXC4XV155JcOGDTOtEUIQDAZxu8txKA5uvPEmUzrDMNi2bTvtTidut5sbb7zRtE3PX48BcOMXzGsAtr1WhaIoUrYAjj27C4fDwY3LzeuEENRXxr4hu+GGG6Qenj4+vgJAupxxZPxT9mYtQghGjRolXc44tWv2x+xdm9pea81mIkQYOnQo119/fZ+tLN2Tz15//XXq6uq4/vrr+3RYVTI/f/jhh+zdu5drr72225tpM3z3zdjXDWauf+2a/eiGTkZGBtdcc023N9NmaK35xLS9j4+vQDcM0tLSuPrqq8nLyzNtR9d1HM9U4Pa4pdpuTU0N5R+143K5pNpEW1sb9S8ejOkk2m5zczPtjR/hcsvZA2ttNxQKsXbtWlwuF06nK6Fvtm7dCpz85ZKmaWzYsKHbsTY2VvgkqpKe7uKcz8nF/6VHH8bldpFd9GvTOsMw+HpxbixZGfEtqXLmSh39Ka+88gqFBTnMmDlTSlf5wguMHDmSadOmmdYIIfhGyRAA/mvkvVJx1er5WeVbwaMIIfjF5SVS5YyPHJCl8OlDaLqLupvGSMV/899An8z/G1FAVIvyXyO+JRX/my3a+/DDD1la9yT+ND9Zhb8yL/TfbsleWVkZGS4df2YahZ83Nwdvbzh06BCRCgW/3883LjG/CF7tvv3UqSr5V4+Vei6qqanhotDT+Iv9UveYtrY27ql9C5/XyyNX3W1a19zczOgXavH58jl+3QjTOrBWR0OhEHcdfwuP18tvJcqpaRqN/+//UTjM/EKLNjbJcLlcuN3ujjze3PNrPP8vc4VwOBTp/N/pdOJ2e6TygTKJ/Kgrx/66K3ZuErkAQMPRDbH8X8KeEIIPDsdG3FnJq632cQDskswfhYj0Kv9vrdlu2t7Hx1cQidLn+T8k91l/5f/J6mFv83/Z/pTe5v8gl7e6Vx9B0zRL+f+W16uk+/tqamoIvVWDy+Xmxuvk8v/AiY3SeXxzczMb6h+P2ZO8x8i023hOv2jRItauXcsFF1xgan2IOP2d/ytnwmq1paWlYvPmzQn3LX74RiL+WkaKM2N4/s2136RAZOLx+wiH23EoDhTJG1w0GmFVzkEOq1mkRc1/kRFWwwxz+8lTsykKmr+JT565FiPrKIcHyy3g8NR+F+2ONoa1yH15d1vjPRSITBSX3Jxhv8/YLe0TgCGGIu2Trsj4J+6TvLoTeD0eqeG3cWT8E/eJI9CKzysfaJLRk890XSMa1SwFtp5I5mdN04lGI/h8/lNHlZtCpp7GfR+Oqvh9/m7D2M0gU0/jfs6uD+Pz+aQfvqy0XcMQPH3QLd12hYDbm+TbrhCCJzL3DGjbbQ+3Uzp/fVLf+EJBWtuHkO+8oXObpmk88MAD3Hfffdx6661S9uIoirJFCCE3r4BNj/QU/89UhBCsXXUrSmYVAXc4taALj9TkEnK0MgbzQz5BMGFzbGoKD3IJQDR3EMKXRrovW0r36rihNAzKwOeXO7/wiZfwRCoZrjZI6SZsnjmg5/eikU8daYT8cnN/3r7tp4xuCOB3yN3rhhd8HvegEtQ0uS713y5o5ZBnMLpHl3rcUOtfxq0esXwd3GSiSFgsmFWOf0gY/HLPDbquk7bHQ4nWiCbMX4vq+iU0R4YTVeXsGbqBMVQl6Azg8JrvLLBaXwzD4MK2w+Sr2YxvNP/l9vB57yOyKmnxhqWneflt3WDpe4wQghsq/pVCkYlLN1+3hRA8urCNQ57BGB65RR+t1FGB4IZDVsoJRFTa1DoWrbxHqpxx7Pjf9/QU/xf+5iuEPdUM8ZsfsTJQtIfb+dfKr1BoZFDgMt/OotEoD+W0URHOIhQ0ef8RsS9Hpw+CPDUbt6/AtL0LS/4EWZUQPnWCtJ55MDyWoLONTMkk956KW6V9AvBgeiMVqoRPunCOR5X2SxwZ/8R94lEjlufTlvHPgxmxKQGbGvSYvT4coJHMZ5qmEdVi6xPIxP9UJPOzrutEIhH8fr+l35Wpp3HfD4oet9zfAJ9eFzN1Ne5npzcPh2K+r1Ag+EzJk9JtVwjBD9Vx0m1XCMG3Dt8m3XaFEPwwo8lS25Vpt0NO1OLUG8i6MIvvfOc73HbbbUyfPt20rf7O/8/4L9PDLg+aww0DuzB3UtxaOg7FAwg0TUdRDJwSnemC2EU1PCGElobWLjGcUghwtiOUdHTdvE2voqChoGlyTgxqWURdYWld3EeaxBBaoItPJIcXuzVpn0Cs01EgpPwT94kwBJrkavFCCIRhSPkn7hMhBJom6ZeOebMSLoTSg8903egYIiZnTwjQDR1XkoVXkvk5NtyODnsSN38EuqZL1dNP26+KpmtSDwuCWBmNXIl62uHn2LXQpYO3lbYrhCCoZcu3XSEstV2BGNC2KzrK2pNvnIaOKxpl3YZ1nduMjrkHbWx6SzQaxSscGDgk4+OnUz5ohuQUBR1TU2iG7H1ZWI4f1nRY0g30+QklFv9ldfHpaDTJ+IjFcsanQNE1uQ4lq36JXwfdkHy+AYQw0CWfFw3DIKSlETVaO+ciNWdQxJ7DJO0Jw+iclkTGN0IRGFbqWZdpSWTK6nE40BRHRz2T6U3veo+RvfaxqWU0zfzHS0J8Ok2PJllHDct1VL6cAA7AcJx5U4bYJKYdB1pf9iD2Ibqm49YyUPCavufF443hDoGWhq6Z/5hRCAPFEQLFL9VePA4nuuIkIhmvAloaUSWMZsi9TJf1SRzDEwI9DV2Tu96GoaP4AtJ+id97ZPwT94lbqJbigCEMKf/E64kQSuec41L2DB2nM3E3XzKf6fF8XDauEusYT5b/J/NzfA0yTdOk8uNYn4EuVU/jvodYLi+X/8dyeKfT2aX9ptbH/axrOoYiFx+ttF0hxIC23Xj+b6XtyrRbrxrGGw6wYcMu2tvbKS8vJxAImLbV3/n/Gd+ZPjLzDgCeuWPuaS5JjDXf/hNB0cLl372BhQsX8i//8i9SQxtUVWXevHn8+3cMPG4Xly573JTOMAwuu+xOPvpSIR6vl4+veca0zQPfELjdLhb+5obUB3dh1fvP4nY4WPPgcind6rt+T4vDyfJfyg3DrXr6BwgEy278JPXBXZjxzHIUBbZe/79SunfffZcDBw5QUn4xAAt/eW1KzdMbn0cJh8k59ipPPvmklL3t27ezdu1agrQQFC1c/dCXUmoa1zyEqqr87qmhrHnxRalhXgcPHuRPf/oTDz74YLd9s5+L1YVE9ejJJ59k5conePfdd3G7zX8RXVtby89+9jN+/vPEC+Qdu8cDdPfzyy+/zP3338/GjRulVghvbW3l/vvvx59/EX5gzQ+uTql5/l+fpCXawH0v/phNmzaRk5Nj2l44HObuu+9m2dxtKChcuiz1kKHZz92AoevU3buRDRs2UFxcbNqepmkc+mcdv8/Pwl+lrptxKisrWfnmu2RkZLDm3z9vWtfU1MRL9/+ZFn+aVNutr6/nolfuJ60kjcuXbzKtA5j61NV4vV42fWG1aU0gEGD27NlcM+h7uF2uhO121apVuIBf/vLWzm3RaJSz7QtomzOX0EeLGTasmMXfu8i0RlVVfvz9Z/F5PTzzw7GmdYZh8HTZx7jTPVz3m3+SKudPfvITli5dytSpU6V0GX/4AyPyh7BkyeVSuscfb2Ty5NtZuHChlO6Zf14JfsENj3xNSrd69Wr8fj9XXXWVlG5qR/z/yle+Iqd76vcIYVD2xRekdNu3b+eNtWu59957pXRX/+U8olqUZTd+Ihn/ZyaN/z3x7F1PEImoXPebr/Zp/E/Gyy+/zAOtTWRmZvLug6ljeJx4/F/x+Aopv6xfv56cP+4hM7OYkl9dZ1r31Y74v2LFCim/lJeXs/zj/yIjI4MfScS5o/dk0N7ezsxffEHquaiyspLIilj8f2aA4v/SVxaTli4f/++7byvf/OYPpabKDAQCrPn2Klr8fpb/8sumddFolB9ceyVFRUVcIFVKm9PFGN9tAKy+9czI/+NEIhEWLlxI49wTBNwepj9krh6envz/OG63ixGS+b/ze7H8/x0L+X+zw8l0ibYJcNnT02P5/7/J5f+rV6/mJ+INXG63lF868/9dsfx/mIn83/9gLP8f1Yv8PyBaCICpOnPNmrmx/H/DUF7sw/wfkvcBxPL/lZbz/4d/miz/j40+OtXPfZX/v2My/2/WNO578ReW8/8VK1Zwzcux+d/N9AGUPnstwWCQtZf8zkL+fwy/z0+JZP4f7Yj/71iI/83+NKm2W19fz8UW479M/n/kS7eAGz7/0KO89e389ZIAACAASURBVNZb3HHHHVxyySWmbfV3/n/Gd6bH0TQNh8OBEAKHw9FtuoTYV58KQggURUl404kfc+q+U9/4Jfr9nogfm2rKnO6/qZjSxo5REmwjqbYnW3K67ttS6ZQE21LpTt0nf37y5ZTZl0qT7Pr1l71kNk/9zfi/k9lKVQYr1yHV7yYroxV7ybQ90uWwVPZ6+t3eXj+ZY60uwNQf18+svVR0LU9vFpgyW9fOxEWsbFITX0jpHy3+m7n3fHpc8nps9j45ULpkMac/47/V80u2zSxW4n9f3ev6Iv73tb1U21MdOxDnJ2Mv2W8PRHzseuSZfP2s6uLlSdR2+8OeHf/PXs7k/B/otJ3qmFO22Pl/H+b/vdGl2pdKc7bm/zL77Pxfbl9vj7fz/1N+u5f2+jv+nxWd6W1tbXznO98hKyuLc845h1GjRlFbW8uSJUtwOp0oisIrr7zCsGHD2L9/P1OmTGHkyJF4vd6OoSMKhmHw1ltvMWnSJAoKCvB4PBiGgcPh4KWXXsLj8XD06FEcDge33347mqZJz3G8Z88e/vrXvzJz5kxOnDhBY2MjEydOZNOmTVx//fVMmDAhoS4SifL3v29k2rRxbN26lwMHjnLZZfMpKzvAlVcuwu9PPjeXruusW7eO/Px8VFVl586dLF68mJKSnhfZEUKwefNmhBCEw2EOHDjAFVdcQX5+fo86wzDYtGkTLpcLh8PBzp07mTdvHmPGjOlRp+s6r7zyCu3t7RQXF7N7926WLl1q6ouUQCDA66+/zoQJE9i+fTuzZ89m4sSJKcv5+uuv09LSwuLFi/nggw9YtmwZHo8npT2rvP3225SVlTF8+HCCwSDnnnsuM2ZYXQasZ4QQrFu3jsOHDzNt2jTKy8sZM2YMs2bN6rebxubNm9mzZw/nnHMO+/btY8iQIVx88cX9Zm/nzp1s376d8847j6NHj3LOOecwYoTcAlcy7N+/n/feew+Hw4HP56Ouro6vfvWrUitwn8nU1tby2muv0d7eTn5+PoZhsGzZMqmvD2xsBhIhBFu2bOGZZ56x438C7PifvJx2/O9b7Ph/dmPHf5uzETv/t+O/Hf9Pxo7/fY8d/216w1nRmX7ixAl+dvvtBINB3nvvPRoaGli3bh2bNm1ixIgRzJkzh5qaGt5++22qq6tpaWnh8ccfZ/To0ezatYu5c+eyfv16xowZQ1VVFR9//DHz58+npqaG7Oxsjhw5wrhx46isrMQwDB5++GEaGhq45557GD58uOlyut1uioqK2L17N8ePHycYDLJ7927OPfdc3nnnnaTBVAhBTU0D48YN5+KL52AYBnl5ORw5Ut0xl1DPC100NjbicDhYv349eXl5puYfEkLQ2tpKMBikqakpNg+UYW4+p5aWFjRNQ1VV6urqOHHiRMpgCjB27Fhee+01gsEgTqfT1BxghmHw/vvvU1lZiaZpjBo1io0bN6YMpnF7r776Km1tbRw5csT0+Vll8eLFtLa2kpaWRkVFBVVVVf0WTCE2jOvEiRO0tLRw6aWX8sEHHzBr1qx+sSWEoKKigtraWgoKCpgxYwYbNmzo/BKkP+wdOXKEuro6qqurqaurY+jQoX1upyvjxo2jvr6e/Px8MjIy2LFjh9SwszOdgoICzj//fFpaWsjIyOCNN94gGo3awdTmjObZZ5/ldjv+J8WO/8nt2fG/b7Dj/9mPHf9tzkbs/N+O/3b8744d//sWO/7b9Aa5FRtPE06nk+PHj7Nnzx7q6+spKCiguLiYzMxM1q9fz6hRo1AUhYULFzJ58mSOHTtGNBrlk08+QVEUJk2axPjx4/F4PHg8HrxeL7W1tSiKwq5du/D5fESjscXA4m93CwsLCYflJu9XVZWcnBwqKysJBoNkZWUxdOhQ9u3b1+NKxV6vh/HjR6AosHPnQcaNG86QIdkMH15oyjcTJ07E4XCQmZnJxIkT2b9/f0qdw+Fg4sSJuN1upk2bxowZMygvLzetc7lcNDc3M3v2bOrq6lLqIpEI7e3tFBYWUlRUxIIFC9ixY0dKXTAYZO/evezdu5eioiLq6upMraKt6zqtra2UlJSgKIrUXFVWUBSFI0eOkJubSyAQYM6cOTQ1NaUc+meV+BcFM2bMoK6ujra2Nlyu/n031trayqxZszh8+DBvvfVWv76VhtgcXnPmzKGlpYXx48f3+zCdSCTCkSNHGD16NB9//DHnnXfeP9TQYCEE27dvZ/z48UQiEYYMGWIvyGlzxpORkWHH/yTY8T8xdvzve+z4f3Zjx3+bsxE7/+/ZN3b8744d//seO/6f3djxv385K75MLyoqorx8G8OHD2fZsmXk5eURCoXIy8tDCIHP52Pu3LlkZ2czevRo2tra2Lt3L0OHDsXn8zFy5EhcLheKElsRORgMct5555GXl0djYyMAfr+fKVOmALE3r01NTVKL4gDk5ORQVVXFzTffzNGjR2loaGDatGls3ryZyy/veRGvMWOKSUvz4XA4KC6ODbWaMWMCXm/qYUkFBQVkZWWRl5fH1q1buegicwuixYfNNTY2cujQIS644AJTuuzsbCZMmMDIkSPZsmWLqYXGPB4PjY2N5ObmUlhYyI4dO0zpMjIyuOuuu9i9ezdpaWlUV1ezZMmSlDqn00kwGMTj8VBSUoJhGP0ebLxeL1OnTiUYDLJu3Tpmz57db7YUReH8889n79693HLLLWzdulV6wTdZ5s2bx44dO5g8eTJHjx6lsrJSuo3I2vv444+ZN28eHo+n39+gGobB7NmzURSFsWPHkpub26/2BhohBNOnTyczM5MTJ05QWFj4D3eONv94fPWrX+Uvf/mLHf+TYMf/7tjxv++x4//ZjR3/bc5G7Py/Z+z43x07/vc9dvw/u7Hjf/9yVnSmezwe7vzqncCnk8iPHj2aTz75hJtvvhlFUToDYUlJCUIIFi1adNJbpcLCT9/yxofCJHvr1HVhnFQcPXqUsrKyzn9/5jOfAWD8+PGd2xYtWkR1dTXV1dVEIpGON94eBIJgsB2A7OxMAIqKhmAYBsFgO8XF+USjGtGohmEY6LqBiBWQYDDY+fterxev10tWVlbnG9iu+4EOWydvUxSFvLw88vLyOoegnXpMom1Op5MhQ4YAJLQXc193e/Pmzev8e9w/J+liZ0coFOpWhpEjRwJw1VVXJSiTQAilm73S0lIgdpMsKSlBVVVUVe3cHw6HUVWV+MvjROeeDE3TupUzvjK0x+Phyiuv7HYu7e3tRCKRzvM0Y090/E/XdUKh0EmL54wbN45x48YBcNlllyW1l8if8ZNOVAZVVTEMg1Ao1PnFBsCIESM65yybPn16N3vx44PBYMK2k8zP4XC4015XCgsLO693nK7auL34UDOz/kTQae/UrxwKCwsJhUKMGDGC9vb2buXUNA0ECKV7/U5sUCBE7J7S3t4uXcdixTVpq4O4H4Xorhs+fDiRSIQFCxYAsbfxkUgE4KTzlbHXqRNyujhCUhcKhWL36A7fJtLGh3R23ReNRk0NLbU5c1AUhcLCQu6888yM/2pYlY7/iHjb/LS9mYn/HaXrVt9Txf9oNJrw3pMq/sefVWTjv6qqCXWp4n/8CUA2/quqisPhsBz/5e9ZsfuO1fgva6/rc1Gfxf8UFuO/1ZfxPxnxL0BPjVdm4/+pfjFvr3vsMBP/T/VLKtrb2xFJ7PVELMYlbg89cTbF//j1s/Z8I2cv9qwoVTybM4AzOf8XhoGu653PAHb+P/D5v6qqCDfd/GLn/ynif5I+ADv/Tx3/pa5hzKSd/yfBbBzXjVjuHs//E+UYPdHf+b/SX8NQZCgtLRWbN29OuO+6lRsAWH3H3IEsUlLWfPtPAFz+oxu44oor2Llzp9QbTyEEqhrmsV8UoDgU3lyXeB61RFRW1nH42iwUxcHCDebnj7pTj71t+7XjI9MagM2DYg2utHWdlG6BYwqgsM5IPYyrKxfNi9lZ++ECKd37c6sAWLRBbihXMBgkGo3y71mXAvBrJbV/tmQtxBAGxXv+Kj2HV7zxX51/IQAf6Kn9c/GC9Qgh+ONfRqRcVOZUIpEILS0t5OXlddv3wdzjAAnrUfzLjBEjRkglxZqm0dDQQEFBQcL9d4k5QHc/BwIB6urqGDlypFRSbBgGdXV1VE34AgAzWz5IqVnonIoQsGrf3xg1ahROp9O0vdjchjV86QuHAHhz3fyUmpifBYVPhhg1apT0veIuYzaK4pBqu9FolO25F6A4FEpbzLddXddZ6JqGQ3FItV1d17lk4Yc4FAdvrk/tk668f/6x2BBdibZrGAYVFRU8MuoGUJSE7Tb+YNvU1NS5LT4P35133slnP/tZqXLGURRlixCi1JLYJiE9xf8zlUgkwj+tep+KTA/7m45Iaf/ljQ8Y23SM7EitlC5z5vfI8PppcQSkdOqE54lkHaPZkNO9cPQSjrYNIxTKkNLdWPYGY1urSRdynYCZM+8jw+uzcH4voA6qpEXIPchPr6klI6BJn98fnDeS1l6CLyCnUzNqiLra0BztqQ/uwtEhTo6HCmhqHiSlu3nn3xnZVEWmImfP6nX4wzmD2Z2h0Ircddd1HdH4Ck73cbIjDaZ1Uw/6yWp2kRGVWyBM13Uu+kwaelYNx0Wrad2M2hOktaq0t2dK2TMMg99rw/AHvPjazGuPXfB1DmX5qBItKJh/DjOE4Et/eYExjVVS/hQCyud+nogvSotDrtP/WJ7LUh29cccbjG2TvFcI2GmhnADuSJh0l4N/ffjnUro4dvzve86m/D9OJBLhiiuu4KZRVwAK33/tZ6Z0dv6fHKv5f2trK9svbUNBkfLL/+X8H5L3Adj5f2Li+X9hYSGXLPwQMNsHUIVhGMxfX2Tn/6cgk/9/fts2AP532jQqKiooKCggI8P8M3h/5/9nxZfpZyJut5unnnpK6guVT2lhx0dfAuCRR74tofMy9/mHO3SPmFZVf/u5mOZn5jUAS370Ukz3IzndS9/9c0z3kJzuzRdjDVHm3ADmPn+zJV0cGf/EffLcc89ZsgVy/on75Pnnn7dsLxG99ZkVrNbDVHTW0/9M/btx37/22muW7cnU07ifX3/9b5Zs9brtmvBJV86mttuTb5588kkAvvSlL3XbJ/PAZmOTCLfbTW5xHidcgvNGnSenfW89LpeDccPlkqMmwrgVD2PHjpPSVefmomYGGDK4SEqXG8wl4M5l6FDzi7AB5B7bRI4zzIhcuZfbTbTjVtwWzi8HNbONvMFyyW2OGiXTo1E8dISc7rATh8PFGMlyHldVNJeHQXk+Kd2RhloQXsaOHSulyz62icGOdkbkyi2iZfU6ZGcLBg9ykC95HQAObnkdp9PBuOHmbWY3BMh1eijJlGtHAJpyEBRD6hyz1SiZbg2/T66+AOTsDqMobsaMM38NDxNBKB7GSV4HAJfXicst50+AgyKMUJCua5UW62jusU3kuOTvFQcslrOltpoMj73gmk3viOf/H/z0FQA2bNggobbz/0RYzSGg//KIU/lHyf9h4PsA/lHyf7DWB/DYY49J27Hz/085duttADz66KNSNk6lv/J/uzPdIoqikJ+fb1GdRlnHlyZy83h9eqyV+b+szhk2UDrFkk+s2+uNvi/mXzPzG731SV+U4WyxOVDXz8o1Gci6eTp0p7PtJtLGv6g4HfXb5h8fRVH41eXTrIlXPwQckpaNxAucA5j/mgaggBXStgBKZ1qSwdfmpT4mASMtmrN6flg8v+9Yk1k2eLtVcwN8HX5hUQfAeRYSpKW9MWgBq+0B+J4FzfXWzcFq+cQd4OsWzQ10HbVaThubviCe/zuUWMeM3AKXdv6fiL7IdQdK+4+S//f3bw+kvYG8fgPdB/CP3nZNtYUzPKe3P9GzsbGxsbGxsbGxsbGxsbGxsbGxsbGxSYHdmW5jY2NjY2NjY2NjY2NjY2NjY2NjY2OTgjN+AdLFD99IxF/LSMnFrPqLm2u/SYHIxOOXm/fyZAT/5S3jsJpFFpqUMksV5KnZDI96TGvGT3kNI+soVYVyc2f+cZeg3dHGqJDcAlZWffRf3h0dPpGrk1mqJu2Trsj4x6pPuiLjH6s+SUVvfWYFq/UwFTLXpC/ar8w1Gci62ZX/C223J9+4WltoC+dxx/JnpX+3J+wFyPqes3EB0t7RhJVpXrA4zYuNjY2NTe+x43/f01P8f3fl9SiZx3GJtgEulTm+3zaCoLONXLfM86vgn/fdTKGRwTB/i4RO4fveE1SEs9AiftOqMUqAPDWbtMxhErZgQeETkFWJW2+U0lnzCfzzvps6fCK3qDDA97010n6JI+Mfqz7piox/euOTlOXohc+sYLUepkLmmlitm6cic10Gqm525WxpuzK+qXP5yHRH2fD9Xk2A1yt6iv9n/JfpYZeHiOPMWTDGraXjMHrfAWl4QginhcVLne0IRU7nVRTcmF+VOU5QS0c15H1v1UcD6ZOuyPjHqk+6IuMfyz5JRS99ZgWr9TAVMtekL9qv1DUZwLrZlf8Lbbcn3zgNHbeuW/pdGxsbGxsbGxub04fP5cPpPHPy/1MJaGlELD1nZ6AYXmmd4Q6huOSelxVHABRV2pbH4cSpyL+4H2ifgDW/xJHxj1WfdEXGP73xSSp64zMrWK2HqZC5Jlbr5qnIXJeBqptdOVvaroxvIm4vgbRMaRsDxZk5k3sXRmbeAcAzd8w9zSWJsebbfyIoWlj2wC2W9JFIhIqKT/hc2QuAYPTk+yXUHm7e8T8APDX1QdMq/2Oxypr39ekStsB7Yhde4AfXT5LSlT+xgVZg8rVy1+xz5f8GwOjJT0rpbt7xA0DOJ12R8Y9Vn3RFxj9WfZKK3vrMClbrYSpkronVutkVmWsykHWzK/8X2m5Pvnm77G0Adu/e3W1fVlYWRUVFnQua2NgMFLH4fwDDqATp0UYeQOEs+AbCxsbG5ozEjv9nD6O1e6AZ8u+YerqLkhD/f6zBD7z2wDJTx8fz/7KyT2gBfNdmS1jzcHX5I8D/b+/O46So7v3/vz6zscMwgLIzsokIshpQEDCoUaPGFTRRNCFxiXjjjfllu9dr7v3ebMbkRqNxiQu4AS6IRqMRNbiAqIAiyCY7wzYwMAswa/f5/VHV2AzT0109DDM9vJ+PRz9muqpOn3OqqvtT51SdqmDH2ckeY7d4cCIApUHbHrO8tsefgrY9ln/or5PgbbNLv/gzkFw7Ocj6SXadRAuyfuqyTuKpyzpLRn31OQTZJsnum9UF2S7Hat+Mlirf3SDr5vaCCqDmNn0Q9RX/G31nelOzZcsWxo+/iD//tj0Ap59+XYDURrd7x/vpTk841aJJfwJgdIA0AH1vvD9wXgD3f/s3SaV79C89kkrX7d6zkkoXEWT9JLtOogVZP8muk3jqus6Skex+GE+QbZLsvhktyDY5lvtmtOPhu1vbupk8eTIAP/vZz46Y9+1vf5uHH344cH4idRWJ//v3FyeRWh3pIiJ1ofgvDSUS/393iXcR3emn3xYgtfHoX3r56RI/Xk72GDtV2h5Qt3ZykPVzNNqwx7q9Gkt99S3EUl99Dse6/waOXR9OU//uBlk3LX7jnUg8/ZdBfjOPVF/xP25nupk9DlwE5DvnBvnTcoDZQC6wCZjknNtnXlf/vcCFwEHgBufc0qNe6hQWDoc5cOAg6WkdyMhIZ+rUSxNK55zj5ZffJT09nfT0dKZOnZpwnukH00lLSwuUBmBBRgYYgdOlV6RjaRY8XdpbQPD85mVswJJIl5eXR2FhIVlZWQnn+2FWFqFQiO7du3PeeecFOru1e/dutmzZEii/ZlnzCYVCdOrUiYsvvjhQfoWFhaxatYozzjjybOE7WZtilmHVqlUsX76cK664gvT0xIcKHThwgKVLlzJ27Ngay5lVXnO9N27cyMKFC5k0aRKZmYkPMSovL+fDDz8MtD6zQlmEXZj09HSuvvpqmjdP/N7gVVVVvPfee2RlGUZi+/c7WZsIO4eZMWnSJFq3bp1wfuFwmLTSNNIzMgLt28XFxXwKZGZmBkpXVlYGQEbA/EpLSzHeJyMzWDrnHPPS1gf+PauoqGD27NlkZGTE/F2LrOfoeSUlJTz77LOUlx/9oYZNleL/0RWJ/717d+fssxO/9W4k/ufm9mfo0GBXmyxevJjc3Fw6duwYKN0XX3xB27Zt6dGjR6B0y5cvJycnh27dugVKN3/+fJxznH322YHSrV27loyMDHr37h0oXST+Dxo0KFC6hQsXUlJSknT8HzFiRKD8li5dSl5e3lGN/7Wpr/gfS13j//jx4wPlt337dt58882k4//48eMDrZeCggJefvnlpOL/u+++y9ixYwOtl+LiYl544QUuu+wy2rdvn3C6srIyZs+ezbnnnkvXrl0TTldaWsqsWbO44IIL6Ny5c8LpnHMsXLiQIUOGBFovkfg/btw4evXqlXA6xf/gFP+Prkj8T0tLS6r9n5FE+//N9PVJtf/TD2ZgFrwd/0FGOmkWPL+0cu9CgaDp1q5dS2ZGXuA6RuJ/fpD2Y3kWVVV1a/9XBGyv1kf7H7y+hZrKUV/xP1afw7Fs/3+YlYVzrk7t//Hjx5NF4nlmZr5DVWUVkydPDhz/30rbQHp68Pa/l2/w9v9HBpkZwdKVlnrPZUum/Z+e/jbpaYn9nr3TxTu2GHvddY0z/jvnan0B44DhwIqoaXcDP/f//znwe///C4HX8S6hGg18FO/znXOMGDHCxTLpoYVu0kMLY84/1ub8ZLqb85PpSadfs2aNa926tXvx6UHu9RdHuHD4k4ReVVUfu/POG+1Oe/pSN/L5yS4cDif8WnvzDLfxtmcDpQmHw270L2e5M//zucDpZv3bw+652x8NnG7O06e5F58eHDjdkGcud0OfvTxwunfeecc98sgjbsvts9yW22cllGbcr+a4r/38WXfttdcGzm/p0qXu7rvvPrQPJZLm9RdHubnPDnUXXnihq6qqCpTfl19+6e68884a5418fnLM/Wj69OnujDPOcOXl5YHy27Fjh/vxj38cc36s9fz3v//dDRo0yO3fvz9QfoWFhe7WW2914341x4371ZzE9rGfTHfP/fujrnfv3q6goCBQfgcPHnQ33XST+8eLX3OvvzgqoTQjn5/shs+60nXv3t1t3bo1UH6VlZVu9U1PuM0/SmzfjLw2bdrkhv54uhv7Xy8ESldQUOCm33Rf4O9ufn6+m/3EKe7vz40IlC4cDrtBT17iRsy+KlCa4uJiN2DAALd+2tMxv7ePP/64e/zxx49YL+3bt3dTpkxx4XA4qd9vYLFLIKY1lVdDx/+mJhL/f/jDK12isT86/v/5z38O/B377W9/65YtWxY43aOPPurmzZsXON2DDz7o3n333cDppk2b5m655ZbA6WbOnOlefvnlwOki8T9oul/84hd1iv9B091zzz1HPf7X9qqv+B/rVdf4H3S9fPDBB3WK/0HXy/Lly5OO/zfffHPg9bJp0ybXvXt3t2rVqkDpCgoKXO/evd37778fKF1+fr7Lzc11ixYtCrztf/rTnwZeL5H4/8YbbwReL4r/qRX/dz20zO16aFkCW6ZhRNoeiYrE/2dufcDN+cljLmj8n/vs0ITbHpHX4KcudcNnXRn4u7nuh0+6DdOeDpwu2X6DZ2590D1z618Dp5s5c6Z7ZdbwwOslEv9rawtXf225fZZbc/P0OsX/oO3Vmbc9XC/x//UXR9W4zuor/sdaz3WN/0H7b8bc+Xyd43+QPpxXnx/pZj9xSlLx/9QZl7iRz00KlG7Tpk1uxfceCdznV1BQ4IbeMT3wdzc/P99Nv+k+9/y/J9Hn98xp7rUXTk9o2UuXrHWXLlnbaON/3DHDzrn3gOqPhP0WMMP/fwZwadT0J/18FwHZZtYlXh4NzTlHUVERe/bsobCwMHLAEH1AAUTOwMS+z6lzjvLycpxzVFZWUllZSSgUory8nFAoRFlZ2RFnRZxzVFR49/6trKwiFAoTDoeprKw6NC0cDh+RV+TMX0VFBeFwmIqKCsrLywmHw4T8B++Z2WFnCKPfR8oWSRf53zlXa7pIfgChUOhQ/SorKw8rV3S6cDh8aD2GQiG/zhWHlaOm+kXSVVVVUVVVdShdZLuEw+GY5YykiaybSNkj/9d05jSS3swOK2P09FjljLwi6yG6TpFpRyu/SN2r1y2yjmvKL/oza1pnsfKMzq+m7Ra939WWX215Vk8XWX815Rdd59rqGFknkX2ktvUZyS96PSaTX2VlZUL5Vd/eNeVV03qpni56P6jp+1dTuui6Rdc7kXSR71Qi6aLXZSgUOuz7W1s6Mzu07UOhEJWVlbWmq2k7RPKqaZ4Eo/h/ePyP9VseWf5YxP+afuPqK/7H+k2FphP/a4pVseJxTb9bQeN/XfM7GvG/tles/Ooa/xPNL7L+gsT/mj6zpvhfW37R6zGZ/GqK/4nEccX/5ON/Tes6upyK/3Wj+N/44j+o/V9T/I/OX+3/2HnF2r71Hf8TzS+y/hp7+z86z0gZFf/rN/5TbRM2pvif7D3TT3TO7fD/3wmc6P/fDdgatVyeP20H1ZjZjcCNAD179kyyGEeHc46nnnqK559/nm984xtMnTqViooKdu3axbp165gwYQIAb7zxBq1CIdIsjZKSElq3bn3YRnrrrbd48803GTNmDEuWLCEcDtO+fXt27NjBhAkTWLJkCYsWLTosoM6Z8y8WLVrOGWcMZsmSVWRkZNChQzu2bcvnkkvG89prHzBw4Elcc835R5R75cqVzJgxg27dutGsWTM+/vhjLrroIj7++GN+8pOfxBzWnZeXxwMPPECrVq3Iyclh8eLFjBw5ks2bNzN06FCuueaaGne+zZs38+CDD9KxY0cmTJjAq6++yjnnnMNrr71GmzZt+MUvfnFEul27dvHAAw9www03sGrVKjZt2kSnTp345JNPmDhxIvPnz6d169ZH3Nu4sLCQBx98kLPPPpt/wkmiTAAAIABJREFU/vOflJaWMmzYMBYvXszw4cPZu3cvAwYMYOLEiUeUs6ysjD/+8Y+EQiHatm1LXl4e3/rWt3jppZc47bTTmDJlSq3Dl5xzvPTSSyxatIhJkybVej+n4uJi/va3v3HGGWewdOlStmzZwpVXXsncuXO57bbbyM/P57HHHuNPf/pTzM8AmDdvHvPmzeOb3/xmzGHuZsbBgweZMWMGvXv3Ji8vj9WrV3PaaaexfPlyBg8ezBlnnMEf/vAH7rvvvlrzS1R5eTmzZs2iVatWVFVVsXjxYsaPH8/ChQvp06cPlZWVfPLJJ9x6662Bh/XXpKqqirlz51JSUkLHjh157733OPPMM1myZAldu3alvLycvLw8pk2bRk5OTszPWb9+PQ8//DAnn3wyU6dOjfljGgqFePPNN1m3bh3Dhw/n9ddfp2/fvmzcuJGWLVvSoUMH1qxZw9SpU2sdUrRjxw7uvfdeunXrxrRp00hLi32e0jnHnDlzWLRoEaNGjeKzzz6je/fulJaWsm3bNm677TZyc3NrTPfyyy+zcOFCJkyYwM6dO+nQoQNbt25l69at3H777TGHZ7/55pu8/fbbDB48mPXr19OqVSvOOeccXnzxRe66665DQ+Wqe/3115k/fz5f+9rXWLZsGQAXXHABr7/+OnfddVfMYXmffPIJzz//PL1792bPnj00a9aMXr16sXz5ci688ELOPPPMGtPt3LmT+++/n+9973vMmTOHgwcP0rlzZ7788kuuvfZahgwZEnO9gvfd//3vf49zrsHjShN23Mb//v37061bN3JychT/Ff8V/xX/AcX/6hpD/P/Zz35Gy5Yta11ekqL478f/aIr/iv+K/3Wj+K/4Hyv+H7jkO7Rq3SrmeoWGjf91fpqV806Hxb5cO3a6R5xzI51zIzt16lTXYtSJmXHLLbcwaNAgrr32Wn7961/zl7/8hVdffZUlS5Zw7733Mm3aNDZv3kyoKkRpWSkzZ8484nNWr15N27ZtWbp0KZdffjnOOcaNG0c4HCY3N5fTTz+dc889l2bNmh1KM3LkKbRr1xqzNM45ZxT5+ftYs2YzVVVhnnzyNbZu3UVh4f4ay92lSxdGjBjB/v37mTx5Mj179mTs2LEUFhYeOjNTk3bt2nHWWWdRUlLCpEmTyM3N5eKLL6Zv376UlJTETNe+fXvGjBnD3r176dixI9u3b2f06NH07t2bCy+8sMYfrDZt2nDgwAEqKirIyclh+/btfPTRR3zjG99g/fr1XH755ZSVlR1xZrN58+aHzuZfeumlZGZm0q9fP0aPHk15eTmZmZns27evxnJWVlaydetWNm7cyNixY3HOsXfvXqqqqigsLEzoLNWiRYs4//zzWb58ea3LNW/eHDNj3759rF27lsrKSvLz8ykuLqakpIS33nqLffv21Xj2PdqHH37IhRdeWGt+zjkyMzPJyspi7969rF69mvT0dEpLSzn55JPZu3cvb7zxRtztH0RGRgatW7dm9+7drFy5kpYtW/LQQw+xZcsWDh48yKRJk+jZsyennnrqUckvLS2N7Oxsdu3axapVq2jTpg2PPfYYa9asoaioiIkTJ1JeXh63fp9//jnDhg1j8+bNNV7ZEZ1fTk4OO3bsID8/n927d7N+/Xq2b9/O+vXr+eKLL8jMzIy7H6xZs4bevXuze/fuWq9eiRg5ciTt2rVj0aJFfPnllxQVFXHOOedQVlZW674ydOhQhgwZQllZGS1atCA/P58vv/ySiooK1q1bFzPdoEGD6NKlCwUFBWzfvp0NGzbQoUMHduzYcdjVN9WddtppnHDCCVRWVnL55ZcTDocPra/a9OzZk4kTJ7Jy5Uo++ugjioqK2Lp1K7t27WLPnj0x07Vp04b9+/ezc+dO3nnnHYqLi1mwYAHnnnsuK1asqDVP8O5PW1paSkZGRkLbQermeIv/Cxcu5I477lD8V/w/VE7Ff8V/xf/DNXT8z87OZu/e6hdUy9Gm+P8VxX/Ff8X/ulH8V/yPFf8PHDhQa57QsPE/2c70XZHhW/7ffH/6NiD6aVXd/WmNWmQYQFpaGlVVVYRCIbKzs2nTpg3gPYH7wIED3oP2DNIsjQ0bNhyxE5588sns27ePNm3acM8999CvXz8+//xzcnJy2LZtGwsWLGDcuHGHpVm27Evatm3F6tUbWbt2C845cnO7Uly8nz59utG/f082b95R4w/Ctm3bKCoqoqCggEWLFjFkyBA6deoU9yEHe/fuJS8vjwMHDvD+++8zYsQItm7dinOu1i/Jnj172LlzJyUlJWRnZ5OVlcXBgwfZsGEDgwYNqjFItWzZkuzsbMyME044gYyMDLKzs1m6dCllZWXcfffdjBgxgoyMwwdJNG/enJycHKqqqg6d8Vu9ejWvvfYao0aNomPHjjGDYlFREenp6TRr1ox58+Yd+tE466yzyMvLq/XHNaJ9+/YsXbo05hm7iKysLDp06EBGRgb9+/enuLiYHj160LZtW0pLSykuLmbTpk1xv9gdOnRg6dKlcR/4kZmZSadOnUhLS2PAgAHs27ePoqIiQqEQW7ZsoaioiLy8PHbu3Bm3jolIT08/lN8pp5xCQUEB/fr1o3///mzevJkPP/yQYcOGHXaAWBdpaWmH1a+goIC+ffvSr18/tm/fzsKFC8nJyWHXrl21fk5OTg7r1q079HCMWCL7ZXp6Ops3b6Z///4sW7aMtm3bEgqFyM3NZe/evXTo0KHWz8nOzmbLli0UFxcndLAWyaOkpIR+/fod+n3Iycmpddu99957LFiwgGHDhtGpU6dD+11JSUmtDxtbuXIlzZs359NPP6Vdu3ZUVVXRokWLuA9gWbFiBS1btmT9+vXcc889DBgwgK5du8bd3mvXrmXGjBlMnDiR3r17s3//ftauXUv//v3Jy8uLma5ly5a0a9eOZs2akZube+i3+dNPP437XQRo0aIFpaWllJeX13p1gNTJcRv/27ZtS/fu3RX/Ff8BxX/Ff4/i/+EaOv5v3rw50MPsJBDFf8V/xX8U/xX/PYr/h6uP+G9p8ddrQ8b/ZG/z8gpwPfA7/+/LUdOnmdksYBRQFDUcrFEzM374wx/So0cPvv/977Nr1y5GjBjBqlWrqKqqIisri44dO/LF3z7ELMQNN9xwxJdm2LBhlJeXc/rppzNy5EgyMjLIyclh06ZNjB07lr59+x5x1un00wcCcMYZg1mxYj2nnz6QFi2asWPHAEaPHsz8+Uvo378X6emHdww55+jTpw+bN2/m61//Oq1bt6ZFixYA/OAHP6B9+/ZHBPvI+y5dupCbm8uYMWPo0KEDrVu3JhQKUVBQwDe/+c3Dlo3+v3v37vTs2ZMxY8bQpk0bpk2bRosWLbjpppvIyMiImd+3v/1tOnfujJlx3XXX0aZNGz7++GOGDh3K0KFDadXqyKEbzjkuuugimjVrxvXXXw94P1gnnHACWVlZjBkzJmY5u3btytVXXw1waIjIqFGj+OSTT7jxxhtJT0+v8Wxc9LQf/OAHLFq0iHHjxtV65s45xznnnEOzZs3o3r07AwcO5NRTT+W73/0u3bt3584772Ty5MmceOKJR/xIRn/utddey/vvv8+YMWPi5jd69GjC4TD79++nR48eDB8+nIULF3L++efTvXt3LrvsMnJzc9m4cWONecUqQ6z5gwcP5qSTTiIcDtOuXTvGjBnDggUL6Nu3L23btq1xKE28OtQ2r3fv3lx11VU0b96ctLQ0xo4dy8cff0zXrl1JT09n06ZNjBgx4oh7mUV/7plnnkl5eTl9+vQhLS2t1vqfeOKJTJkyhezsbN5//32uuOIK1q5dS/v27Wnfvj0DBgxgzJgxRxyERX/m4MGD2bt3L126dCEzMzPu+o4MHbzmmmv47LPP6Nq1K2lpaWzZsoURI0bE/C6NGDGCbt26kZGRwbBhwxg4cCCFhYUMHDiQU045JWa6YcOGUVpayq9//WtWrVpFTk4OHTp0YNq0aTWWNzq/iooKLrroItavX09mZibNmjVj2rRpNX6PIu979erF1KlT6dy586GDoy5durB06VImTJgQMx3AddddR5cuXfj+979PUVER/fv3j5muetqcnBymTJnCggULat0OUifHbfxv3rw5nTt3pn///g0W/yP79LGI/5H7k0LTjf81/UbUFv+rpw0a/2vKr6Hifzz1Ef/j5ZdM/K+eX33H/+qfp/h/eLpjFf+rv4/E//Lycjp16qT4Xz8U/xsw/oPa/zXF/8h7tf+Dxf9489T+r7n9H52n4v/h6eoj/i9on3PEGKjGFP8tXmZmNhOYAHQEdgF3AXOB54CewGZgknNur3nR5X7gfOAg8F3n3OJ4hRg5cqRbvLjmxZ645jY6797KwC5tE61TvZrbcTDlzSvp1D+556qUlpayZMkSfj7kbbLLyigsapFgSseePUW80GYwLfY3p8X+xNfH1vE3s6Fdc3YQewhXTb7z7Ev02ZtH+8rCQOmWj7qU8uaVlKQfDJTuhhOfIbu0lMLidoHSPVTehRb7mwVaJ+DdD6wqVMXeC+5IeP1859mX6FOQB7s3+GcCE3+wQWVlBeVl5Ww65zrKm1dSnMD6+W7nZ2hXWsr6DVVxz45WV1VVxcGDB2nb9sj18nB5F5rHWGcHDx7kwIEDtZ79r0koFGL//v20a1fz9ou1H5aVlVFUXMQJnU4IlF/YhSkuKubWf/yLPnu30b6y5mF/0Vb4++ba3Rs44YQTAl297Jz3oKLbB7xGdmkZhUXx97fIei5ad5BOnTrFvfLgsPxw5I27hQ3Zwb67VaEQU2a9TN992xNaJxHhcJgvRl9ORYvE9s3odN/r8izZZeUJrZNoD5V3Dvx7FnZhdufvpmLSXTG/t+kZ6XQoKeTUJR8cmlZSUsLMmTOZPHky06dPT+qhJGa2xDk3MnDCFNXQ8b+pWbt2LSNGjOCkkzozYcKIhNM553jllffo1asfQ4cODZTnkiVL6NWrV8x7qMaycuVK2rRpQ48ePeIvHGX58uXk5OQEvofmu+++SzgcjnnP0FjWrl1LRkYGvXv3DpQuLy+PoqKiwEOUFy5cyP79+zn33HMD/Ybs3r2brVu3Mnz48ED5ffrpp2zdupWLL744UH5FRUWsWrWK0aNHB8pv1apVrFixgssvvzxQvDpw4ABLly5l7Nixgcq5ceNGFi5cyKRJkwJdTVReXs6HH37I+PHjA+W3fft25s2bx+TJk+NemRWtqqqK999/n3HjxgVaLwUFBbzyyitcddVVca8ajRYOh3n33XcZO3ZsoPVSXFzMiy++yKWXXlrr1WrVlZWVMXv2bM4999yY916tSWlpKbNnz+b888+nc+fOCadzzrFw4UKGDBkSaL1UVFTw3HPPcdZZZ9V6H9vqFP+Da+j4f8ecz1jTDDK71n6v3IYy+n/uoc/ebZzeM/b9m6Md9Nv/u791MxXNKylOL0owJ6/9/5NT3/T7DRI/Xk7mGBsaqN+gWSUlGcH6DUpLS7kld07g9RK5XcjTGX1jtoWr2zr+Zja0bc4XhVvICfDbCt7tZ8rKy7n5lXmB2qtlzSrZVLT1qLb/IdK3cOQ6q6/2f6w+h6Tb/+Gwdzudb/08WP/N3jwqtq6mU1Lt/0Ky22WzYvRlCffh3HCi14ezd1/rQMcNkNx3typUxfazb2VjdotA391wOMy1M+fSd9+2QN/dcDjEF6OvCNxvAH6fX4Lf28J2OaxunsuCldmNMv7HvTLdOXdNjFlHPPnBeT3ztwYrXu1yWjWjZVGwHbA+ZYVLqf3uV/Glp6dTXp5JZUUFO3cWBErbutJhVY4dAYbxlFYeoKLK2Lkn2NAflxbGEWbnzmAXF6RXFGMZxs7dwfIrz86ksrIi8BCl1q1PDLxOogVZPy4tjLMwFeXlSQ+lSqsohgTXT1l2Ji0rKqisLE06v4MHj/yBa5XAOtsZZyhVzPxiDK2Kt57jDd2KxdtPQwntp5F1D5Cfnx9n6ZqVl0W+u/G3R2Q9OyB/9+7AeZVWJffdJd0lvE4OS1ZZDJlJfHdzsqisqDym393a9qfs7Gzcnj08/vjjh03PyMg4akMSjwcNHf+bmrS0NFq1asWGDTvYsOHVwOkLCpaydOnSwOkiDw9KBdFXVAUxf/78pNJ99NFHSaV74oknkkr32WefHdP8Vq5cmVS6GTNmJJXuyy+/TCrdU089lVS6DRs2JJXu2WefTSpdsvvnc889d0zze+mll5JK98YbbySV7h//+EdS6dasWZNUurfffjtwGsX/YBo6/qe3ysTS49+Wo6GkN0sjPSPxThkD0tPTSD/UBgzW/v+q3yDx4+Vkj7EbrN8gaFuH5NZLRKvW4YTXT2nlASpCVqf2f9D2qmUYlZXB21YRNbX/4au+hVifm2x7PNatVeL1OSTb3xC4/4YwDkd+fnL57SzbGagPpzw7k6rKCnYn0f5P9rtbVnWQiqq0JPsNkvjuJttvkJ3499YsnQP7tvH00167qbHF/7hXph8Lx9OVaRUVFWzatCmh+3aJiMjR1a5du0PDToM63q5MOxYU/0VE5FhQ/G9cFP9FRORYqK/4n+w90yVJWVlZ9O/fv6GLISIiIseQ4r+IiMjxR/FfRKTpSfyGQSIiIiIiIiIiIiIixyl1pouIiIiIiIiIiIiIxKHOdBERERERERERERGRONSZLiIiIiIiIiIiIiIShzrTRURERERERERERETiUGe6iIiIiIiIiIiIiEgc6kwXEREREREREREREYlDnekiIiIiIiIiIiIiInGoM11EREREREREREREJA51pouIiIiIiIiIiIiIxKHOdBERERERERERERGRONSZLiIiIiIiIiIiIiIShzrTRURERERERERERETiUGe6iIiIiIiIiIiIiEgc6kwXEREREREREREREYlDnekiIiIiIiIiIiIiInGoM11EREREREREREREJA51pouIiIiIiIiIiIiIxKHOdBERERERERERERGRONSZLiIiIiIiIiIiIiIShzrTRURERERERERERETiUGe6iIiIiIiIiIiIiEgc6kwXEREREREREREREYlDnekiIiIiIiIiIiIiInGoM11EREREREREREREJA51pouIiIiIiIiIiIiIxKHOdJEU5pwjFArVOL2yspKqqioAwuEwlZWVhEIhnHPHupgiIiJyFCn+i4iIHH8U/0UaB3Wmi6Soqqoq3nrrLRYtWnRoWigUorS0FOcczz77LFu3bsU5x9y5c5kxYwaLFy9uwBKLiIhIXSn+i4iIHH8U/0Uaj4yGLoCIJMc5R0lJyaEz06FQiMcee4zKykr69OnDsmXLmDBhAgCrVq2iW7dutGnTpgFLLCIiInWl+C8iInL8UfwXaTx0ZbpIisrMzGT48OFkZHjnxEpLS6moqGDKlCmsXLmSIUOG0LVrVwAuuugiJk6cyAsvvKBhXiIiIilM8V9EROT4o/gv0njoynSRFJaenk6zZs0AaN68OeFwmLlz59KjR49Dyzjn+Pzzz0lLS6NLly6YWUMVV0RERI4CxX8REZHjj+K/SONgjeEs1ciRI53u5SQSXCgUIhQKkZWVhXOOgwcPsnv3brp160YoFDoUaMvKyti5cyfdunUjKyurgUstkprMbIlzbmRDl6MpUfwXSY7iv8ixo/h/9Cn+iyRH8V/k2Kkt/uvKdJEUlp6eTnp6OgBmRqtWrWjVqhXgDQOLaNGiBSeddFKDlFFERESOLsV/ERGR44/iv0jjoHumi4iIiIiIiIiIiIjEoc50EREREREREREREZE41JkuIiIiIiIiIiIiIhKHOtNFREREREREREREROJQZ7qIiIiIiIiIiIiISBzqTBcRERERERERERERiUOd6SIiIiIiIiIiIiIicagzXUREREREREREREQkDnWmi4iIiIiIiIiIiIjEoc50EREREREREREREZE46qUz3czON7M1ZrbOzH5eH3mIiIhI46L4LyIicnzSMYCIiBwvjnpnupmlAw8AFwADgWvMbODRzkdEREQaD8V/ERGR45OOAURE5HhSH1emfw1Y55zb4JyrAGYB36qHfERERKTxUPwXERE5PukYQEREjhsZ9fCZ3YCtUe/zgFHVFzKzG4Eb/bflZraiHsrS0DoCexq6EPVA9UotTbFeTbFOoHo1dr0augCNnOL/V5rKPl+d6pVaVK/U0RTrBE2nXor/8cU9BlD8T2mqV2pRvVJHU6wTNJ16xYz/9dGZnhDn3CPAIwBmttg5N7KhylJfVK/UonqljqZYJ1C95Pig+J+6VK/UonqljqZYJ2i69ZLkKP6nLtUrtaheqaMp1gmabr2i1cdtXrYBPaLed/eniYiISNOl+C8iInJ80jGAiIgcN+qjM/0ToJ+ZnWRmWcDVwCv1kI+IiIg0Hor/IiIixycdA4iIyHHjqN/mxTlXZWbTgH8C6cDjzrkv4iR75GiXo5FQvVKL6pU6mmKdQPWSFKb4fxjVK7WoXqmlKdarKdYJmm69pJokjgGa6r6heqUW1Su1NMV6NcU6QdOt1yHmnGvoMoiIiIiIiIiIiIiINGr1cZsXEREREREREREREZEmRZ3pIiIiIiIiIiIiIiJxNHhnupmdb2ZrzGydmf28ocsThJk9bmb5ZrYialqOmc0zsy/9v+396WZm9/n1/NzMhjdcyWMzsx5m9i8zW2lmX5jZj/zpqV6v5mb2sZkt8+v13/70k8zsI7/8s/0H5mBmzfz36/z5uQ1Z/njMLN3MPjWzV/33KV8vM9tkZsvN7DMzW+xPS+n9EMDMss3sBTNbbWarzOyMVK+XmZ3sb6fIq9jMbk/1ekn9UvxvXBT/Uy9OguJ/quyHoPjvL58S9ZL6pfjfuCj+p16cBMX/VNkPQfHfXz4l6hVEg3amm1k68ABwATAQuMbMBjZkmQKaDpxfbdrPgbedc/2At/334NWxn/+6EXjwGJUxqCrgDufcQGA0cKu/TVK9XuXA151zQ4ChwPlmNhr4PfB/zrm+wD5gqr/8VGCfP/3//OUasx8Bq6LeN5V6ne2cG+qcG+m/T/X9EOBe4A3n3ABgCN52S+l6OefW+NtpKDACOAi8RIrXS+qP4n+jpPjvSbU4qfifGvshKP5DitRL6o/if6Ok+O9JtTip+J8a+yEo/kOK1CsQ51yDvYAzgH9Gvf8F8IuGLFMSdcgFVkS9XwN08f/vAqzx/38YuKam5RrzC3gZOLcp1QtoCSwFRgF7gAx/+qH9Ee9J9Gf4/2f4y1lDlz1Gfbrj/VB9HXgVsCZSr01Ax2rTUno/BNoBG6uv81SvV7W6nAcsaGr10uuo7yeK/42gDnHqp/jf+OOk4n+K7IeK/6lbL72O+n6i+N8I6hCnfor/jT9OKv6nyH6o+J+69Yr3aujbvHQDtka9z/OnpbITnXM7/P93Aif6/6dcXf0hQMOAj2gC9fKHQn0G5APzgPVAoXOuyl8kuuyH6uXPLwI6HNsSJ+zPwE+BsP++A02jXg5408yWmNmN/rRU3w9PAnYDT/jD8h41s1akfr2iXQ3M9P9vSvWSo6sp7gNNZn9X/E+ZOKn4nzr7oeK/JxXrJUdXU9wHmsz+rvifMnFS8T919kPFf08q1qtWDd2Z3qQ575SLa+hyJMPMWgMvArc754qj56VqvZxzIecNQ+kOfA0Y0MBFqjMzuwjId84taeiy1IOxzrnheEOCbjWzcdEzU3Q/zACGAw8654YBB/hq6BOQsvUCwL833yXA89XnpXK9RIJK5f1d8T81KP6n3H6o+C9yHEjl/V3xPzUo/qfcfqj430Q1dGf6NqBH1Pvu/rRUtsvMugD4f/P96SlTVzPLxAukzzjn5viTU75eEc65QuBfeMOfss0sw58VXfZD9fLntwMKjnFREzEGuMTMNgGz8IZ63Uvq1wvn3Db/bz7e/be+Rurvh3lAnnPuI//9C3jBNdXrFXEBsNQ5t8t/31TqJUdfU9wHUn5/V/wHUidOKv57UmU/VPz3pFq95OhrivtAyu/viv9A6sRJxX9PquyHiv+eVKtXXA3dmf4J0M+8Jw9n4Q0PeKWBy1RXrwDX+/9fj3fPscj0Kf5TbEcDRVHDHxoNMzPgMWCVc+5PUbNSvV6dzCzb/78F3n3gVuEF1Sv9xarXK1LfK4F3/DNrjYpz7hfOue7OuVy87887zrnvkOL1MrNWZtYm8j/efbhWkOL7oXNuJ7DVzE72J00EVpLi9YpyDV8N8YKmUy85+hT/GxnF/9SKk4r/qbUfKv6nbL3k6FP8b2QU/1MrTir+p9Z+qPifsvWKzzX8zeovBNbi3b/qPxq6PAHLPhPYAVTinXGainf/qbeBL4G3gBx/WcN7cvl6YDkwsqHLH6NOY/GGYnwOfOa/LmwC9ToN+NSv1wrgv/zpvYGPgXV4Q1Oa+dOb++/X+fN7N3QdEqjjBODVplAvv/zL/NcXkd+GVN8P/bIOBRb7++JcoH0TqVcrvKsc2kVNS/l66VWv+4zifyN6Kf6nVpysVkfF/0a+H/plVfxPoXrpVa/7jOJ/I3op/qdWnKxWR8X/Rr4f+mVV/E+heiX6Mr9iIiIiIiIiIiIiIiISQ0Pf5kVEREREREREREREpNFTZ7qIiIiIiIiIiIiISBzqTBcRERERERERERERiUOd6SIiIiIiIiIiIiIicagzXUREREREREREREQkDnWmi4iIiIiIiIiIiIjEoc50EREREREREREREZE41JkuTZ6ZzTez7ze2vM0s18ycmWXUQ74LzGzY0f7co8XMmpnZajPrVMsyvzSzR49luUREpOlQ/G+czOxjMzu1lvnfMbM3j2WZRESk6VD8b3zU/pemRp3pUq/MbJOZlZrZ/qhX14YuV4SZDTKzf5rZHjNzCSzvzKzvsShbsszsYqDEOfep/77WOprZ02a2w8yKzWxtogceZtbfzF42s91mttfP4+So+TeYWajatp8A4Jyd0FeVAAANU0lEQVQrBx4Hfh7r851zv3HOJXUQZJ7fm1mB//q9mVmMZX9ZrYylZhY2s47+/OlmVlFtmfRkyiUicrxQ/D/2aoj/15vZEj++55nZ3dUb8GZ2tZmtMrMDZrbezM5KIJ9a47+/TG8ze9XMSvx1fHfU7HuA/4n1+c65Z5xz5wWq/Ff5Bt2uF5vZCn//XGhmA6PmxTyOERGRmin+H3tJtP/3V3uFzOwvCeQTN/5HLfu2RZ04aEztf3/528xso3+MtNjMxlabP9zM3vPXzy4z+1Ey5ZKmS53pcixc7JxrHfXa3tAFilIJPAdMbeiCHEU3A09FvY9Xx98Cuc65tsAlwP+a2YgE8skGXgFOBk4EPgZerrbMh9W2/fyoec8C15tZswTyCupG4FJgCHAacDFwU00L+kH7UBmB3wPznXN7oha7u1o9QvVQZhGRpkbx/9iqHv9bArcDHYFRwETgJ5GZZnYuXsz7LtAGGAdsSCCfWuO/mWUB84B3gM5Ad+DpqPSvAGebWedAtUtMwtvVzPoBz+Ctt2zg78Ar1U441HYcIyIiNVP8P7YCtf+rtX07A6XA8wnkk0j7HzP7DpBZQ/pG0f43s1HA74ArgXbAY8BLkQvm/Ivq3gAeBjoAfQGNmJPDqDNdGoR5w3z+bGbb/defIz+q/pVAH1Rb/tAZYfOuFH7AzF7zr3j6yMz6RC17rnlDiIrM7H4g5hlJ59wa59xjwBcJlPk9/99l/hnKyWbW3r/yareZ7fP/714taR/zhjQX+2dyc2J8fjsze8y8q8S3mdn/Rv2g9zWzd/067TGz2TE+Iwv4OvBuonV0zn3hnykGcP6rj/95P/PXb4b//hYz+8LMmjvnPnbOPeac2+ucqwT+DzjZzDrEW5d+vnnAPmB0jLr8ysye9v+PDIm73sy2+OvgP2r5+OuBPzrn8pxz24A/AjfEK5N/9noKMCOROphZR3+bF/pn5983M/2uiojEoPhf4+fXV/x/0Dn3vnOuwo+FzwBjopL9N/A/zrlFzrmwc26bv1xd4/8NwHbn3J+ccwecc2XOuc+jylUGLAG+EaMuh+0H/j5ws5l96cfbB/x4fYQg29XP/33n3AfOuSq8EwvdgPHxEprn/8ws39++y81sUAJ5iogclxT/a/z8Bmn/V3MFkA+8739endr/ZtYOuAv4afWMGlH7Pxf4wjm3xDnngCfxLjw4wZ//Y+Cf/ki5cudciXNulV8uxX8B1JkuDec/8H5Eh+KdPfwa8J8B0l+N1whsD6wDfg2HziLO8T+rI7CewxuOSXPOjfP/HeKfyZ2N9x16AugF9MQ7q3t/taRTgO8BXYAq4L4YWUz35/cFhgHnAZFhTv8P72xoe7wrvGINw+oHhP1AlTAz+6uZHQRWAzuAf/iz/gCUA/9p3hVcvwGu9RvC1Y0DdjrnCqKmDfMD31ozu9OOvD/cKrztn6ixeGfCJwL/ZWanxFjuVGBZ1Ptl/rR4zsILoi9Wm/5D8zrLl5jZFVHT7wDygE54Z+d/iXcyQkREaqb4f6TpHJv4Pw6/Ye031kcCncxsnXm3gbnfzFr4y9Yl/o8GNpnZ6/4xwHwzG1wtTdD4fxFwOt7VZpOI0RGfBKv2vwHRjeJYxzHn4dW7P95VbZOA6OMfERE5nOL/kabTQO3/KNcDT/qdylD39v9vgAeBnTHyawzt/9eBdDMb5R8PfQ/4LKrMo4G95t3+Ld/M/m5mPf15iv8CqDNdjo25/pVEhWY215/2HbyrofKdc7vxAuN1AT7zJf/MaBXelVZD/ekX4p1lfME/W/pnYv+Q15lzrsA596Jz7qBzrgQvqFe/oukp59wK59wB4E5gklW757aZneiX/Xb/Kq58vDO9V/uLVOIF7K7+FV6HnbmPkg2UJFGPH+IN8T4L72Ck3J8exjsY+De8IV13O/9ebNXK3x14AO8sbsR7eA3SE/DOeF8D/H/Vkpb4ZU7UfzvnSp1zy/ACZKxA3BooinpfBLSOdSVblOuBF5xz+6Om3Yd3kHIC3vabbmaRA7RKvIOkXs65Sv8KQHWmi4h4FP8bSfw3s+/hdZ7f4086EW8I9pV4sX8oXkP+P/361SX+d/fLfx/QFXgNeNm/ei4iaPz/nXOu0Dm3BfgXX233ungLGG9mE/yy/RLIwrs9DtR+HFOJd9w0ADDn3Crn3I6jUCYRkaZA8b+RxP/amFkvv+yHRmXXJf6b2Ui8Exm13X+9MbT/S/AunvsAr9/jLuDGqHZ8d7x+gR/hnTDZCMz05yn+C6DOdDk2LnXOZfuvS/1pXYHNUcts9qclKjpAHsT78Yx87tbIDP8HcSv1xMxamtnDZrbZzIrxGl7Z1YJldP6b8RqvHat9VC9/+o7IgQfePboiQ41+ine11Mf+MKvvxSjSPrwf98CccyE/SHcHbomavgmv4ZqLFzAPY94Tud8E/uqcmxmVboNzbqPzho4vx3vY2JXVkrcBCgMUM9Z2r24/0DbqfVtgf20d3WbWEriKard4cc4t9Q+aqpxz/8A7eLvcn/0HvCsj3jSzDWYW84EqIiLHIcX/rzRY/DezS/Gej3KB++p5IKX+378453b40/+E17AHko///md/4Jx73TlXgdeB3wGIvpqsvuJ/wpxzq/Eay/fjjcrrCKzEG3FW63GMc+4dP90DQL6ZPWJmbWvIRkTkeKT4/5VG2/7HO5nxgXNuY/TEZOK/ebc6/SvwI/+ERyyNof0/Fe95MafinUS/FnjVvnpQbineyZtP/Cvy/xs408zaKf5LhDrTpaFsxwsgET39aQAH+OqqICzYA6p2AD2i0lr0+3pwB96wo1HOe4BnZChY9BnQ6Px74p3NjH64JXgBtxzoGHXg0dY5dyqAc26nc+4HzrmueA/S+KvV/FTxdXjV7laHOmXg3zMd78O+CZwBvI3XeUzUvPZ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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" }, "metadata": {}, "execution_count": 3 @@ -144,7 +146,7 @@ "fig, axes = plt.subplots(1, 3)\n", "fig.suptitle('Side-by-side Flavor Review')\n", "tables_list = []\n", - "for idx, flavor in enumerate([\"stream\", \"lattice\", \"hybrid\"]):\n", + "for idx, flavor in enumerate([\"stream\", \"lattice\", \"network\"]):\n", " timer_before_parse = time.perf_counter()\n", " tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", " tables_list.append(tables)\n", diff --git a/tests/data.py b/tests/data.py index 743ec71..6723d01 100755 --- a/tests/data.py +++ b/tests/data.py @@ -824,8 +824,8 @@ data_stream_table_rotated = [ ] # The streaming algorithm incorrectly includes a header in the result. -# Trimming the table for the test of hybrid, which doesn't include it. -data_hybrid_table_rotated = data_stream_table_rotated[1:] +# Trimming the table for the test of network, which doesn't include it. +data_network_table_rotated = data_stream_table_rotated[1:] data_stream_two_tables_1 = [ [ @@ -1298,8 +1298,8 @@ data_stream_two_tables_1 = [ ] # The streaming algorithm incorrectly includes a header and a footer. -# Trimming the table for the test of hybrid, which doesn't include it. -data_hybrid_two_tables_1 = data_stream_two_tables_1[3:-1] +# Trimming the table for the test of network, which doesn't include it. +data_network_two_tables_1 = data_stream_two_tables_1[3:-1] data_stream_two_tables_2 = [ ["Table 325. Arrests by Race: 2009", "", "", "", "", ""], @@ -1609,7 +1609,7 @@ data_stream_two_tables_2 = [ ["1 Except forcible rape and prostitution.", "", "", "", "", ""], ] -data_hybrid_two_tables_b_1 = [ +data_network_two_tables_b_1 = [ ["1", "Ghfhbdhj", "1", "Hgfdhgjsdhjdsf"], ["Vgvhgh", "Hj", "Hj", "Hj"], ["Hj", "Hj", "Hj", "Hj"], @@ -1619,17 +1619,17 @@ data_hybrid_two_tables_b_1 = [ ["Hjdhshj", "Hjhjhh", "Ddnj", "dsxv"], ] -data_hybrid_two_tables_b_2 = [ +data_network_two_tables_b_2 = [ ["Trtrt", "H", "Gh"], ["Gh", "V", "Hv"], ["Hv", "Bhjb", "hg"], ] # The streaming algorithm incorrectly includes a header and a footer. -# Trimming the table for the test of hybrid, which doesn't include it. -data_hybrid_two_tables_2 = data_stream_two_tables_2[3:-1] +# Trimming the table for the test of network, which doesn't include it. +data_network_two_tables_2 = data_stream_two_tables_2[3:-1] -data_hybrid_vertical_headers = [ +data_network_vertical_headers = [ [ "", "", @@ -2090,8 +2090,8 @@ data_stream_table_areas = [ ["(each day of the payroll period)", ""], ] -# Hybrid doesn't recognize the footer as belonging to the table. -data_hybrid_table_regions = data_stream_table_areas[:-1] +# Network doesn't recognize the footer as belonging to the table. +data_network_table_regions = data_stream_table_areas[:-1] data_stream_columns = [ [ @@ -2613,9 +2613,9 @@ data_stream_split_text = [ ] # The stream algorithm excludes the string "Alphabetic Listing by type" -data_hybrid_split_text = [] -data_hybrid_split_text.extend(data_stream_split_text) -data_hybrid_split_text[0] = [ +data_network_split_text = [] +data_network_split_text.extend(data_stream_split_text) +data_network_split_text[0] = [ 'FEB', 'RUAR', 'Y 2014 M27 (BUS)', '', 'ALPHABETIC LISTING BY T', 'YPE', '', '', '', 'ABLPDM27' ] @@ -2851,15 +2851,15 @@ data_stream_flag_size = [ ], ] -# Hybrid adds more content into the header. -data_hybrid_flag_size = [ +# Network adds more content into the header. +data_network_flag_size = [ ['', '', '', '', '(As at end-March)', '', '', '', '', '', ''], ['', '', '', '', '', '', '', '', '', '', '(` Billion)'] ] -data_hybrid_flag_size.extend(data_stream_flag_size) +data_network_flag_size.extend(data_stream_flag_size) -data_hybrid_strip_text = [ +data_network_strip_text = [ ["VinsauVerre", ""], ["LesBlancs", "12.5CL"], ["A.O.PCôtesduRhône", ""], @@ -2900,7 +2900,7 @@ data_hybrid_strip_text = [ ] # Stream only detects part of the table -data_stream_strip_text = data_hybrid_strip_text[0:-13] +data_stream_strip_text = data_network_strip_text[0:-13] data_stream_edge_tol = [ ["Key figures", ""], @@ -2940,9 +2940,9 @@ data_stream_edge_tol = [ ["period.", ""], ] -# The stream algorithm ends up including a footer, which hybrid correctly +# The stream algorithm ends up including a footer, which network correctly # skips. -data_hybrid_edge_tol = data_stream_edge_tol[:-3] +data_network_edge_tol = data_stream_edge_tol[:-3] data_lattice = [ [ diff --git a/tests/files/baseline_plots/test_hybrid_contour_plot.png b/tests/files/baseline_plots/test_network_contour_plot.png similarity index 100% rename from tests/files/baseline_plots/test_hybrid_contour_plot.png rename to tests/files/baseline_plots/test_network_contour_plot.png diff --git a/tests/files/baseline_plots/test_hybrid_grid_plot.png b/tests/files/baseline_plots/test_network_grid_plot.png similarity index 100% rename from tests/files/baseline_plots/test_hybrid_grid_plot.png rename to tests/files/baseline_plots/test_network_grid_plot.png diff --git a/tests/files/baseline_plots/test_hybrid_table_areas_text_plot.png b/tests/files/baseline_plots/test_network_table_areas_text_plot.png similarity index 100% rename from tests/files/baseline_plots/test_hybrid_table_areas_text_plot.png rename to tests/files/baseline_plots/test_network_table_areas_text_plot.png diff --git a/tests/files/baseline_plots/test_hybrid_table_regions_textedge_plot.png b/tests/files/baseline_plots/test_network_table_regions_textedge_plot.png similarity index 100% rename from tests/files/baseline_plots/test_hybrid_table_regions_textedge_plot.png rename to tests/files/baseline_plots/test_network_table_regions_textedge_plot.png diff --git a/tests/files/baseline_plots/test_hybrid_textedge_plot.png b/tests/files/baseline_plots/test_network_textedge_plot.png similarity index 100% rename from tests/files/baseline_plots/test_hybrid_textedge_plot.png rename to tests/files/baseline_plots/test_network_textedge_plot.png diff --git a/tests/test_cli.py b/tests/test_cli.py index 3641b47..fd57eb3 100755 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -72,22 +72,22 @@ def test_cli_stream(): assert format_error in result.output -def test_cli_hybrid(): +def test_cli_network(): with TemporaryDirectory() as tempdir: infile = os.path.join(testdir, "budget.pdf") outfile = os.path.join(tempdir, "budget.csv") runner = CliRunner() result = runner.invoke( - cli, ["--format", "csv", "--output", outfile, "hybrid", infile] + cli, ["--format", "csv", "--output", outfile, "network", infile] ) assert result.exit_code == 0 assert result.output == "Found 1 tables\n" - result = runner.invoke(cli, ["--format", "csv", "hybrid", infile]) + result = runner.invoke(cli, ["--format", "csv", "network", infile]) output_error = "Error: Please specify output file path using --output" assert output_error in result.output - result = runner.invoke(cli, ["--output", outfile, "hybrid", infile]) + result = runner.invoke(cli, ["--output", outfile, "network", infile]) format_error = "Please specify output file format using --format" assert format_error in result.output diff --git a/tests/test_common.py b/tests/test_common.py index 934aa2a..c24ec9f 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -150,32 +150,32 @@ def test_stream_layout_kwargs(): assert_frame_equal(df, tables[0].df) -def test_hybrid(): +def test_network(): df = pd.DataFrame(data_stream) filename = os.path.join(testdir, "health.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") assert_frame_equal(df, tables[0].df) -def test_hybrid_table_rotated(): - df = pd.DataFrame(data_hybrid_table_rotated) +def test_network_table_rotated(): + df = pd.DataFrame(data_network_table_rotated) filename = os.path.join(testdir, "clockwise_table_2.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") assert_frame_equal(df, tables[0].df) filename = os.path.join(testdir, "anticlockwise_table_2.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") assert_frame_equal(df, tables[0].df) -def test_hybrid_two_tables_a(): - df1 = pd.DataFrame(data_hybrid_two_tables_1) - df2 = pd.DataFrame(data_hybrid_two_tables_2) +def test_network_two_tables_a(): + df1 = pd.DataFrame(data_network_two_tables_1) + df2 = pd.DataFrame(data_network_two_tables_2) filename = os.path.join(testdir, "tabula/12s0324.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") assert len(tables) == 2 assert df1.equals(tables[0].df) @@ -183,104 +183,104 @@ def test_hybrid_two_tables_a(): # Reported as https://github.com/camelot-dev/camelot/issues/132 -def test_hybrid_two_tables_b(): - df1 = pd.DataFrame(data_hybrid_two_tables_b_1) - df2 = pd.DataFrame(data_hybrid_two_tables_b_2) +def test_network_two_tables_b(): + df1 = pd.DataFrame(data_network_two_tables_b_1) + df2 = pd.DataFrame(data_network_two_tables_b_2) filename = os.path.join(testdir, "camelot-issue-132-multiple-tables.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") assert len(tables) == 2 assert df1.equals(tables[0].df) assert df2.equals(tables[1].df) -def test_hybrid_vertical_header(): +def test_network_vertical_header(): """Tests a complex table with a vertically text header. """ - df = pd.DataFrame(data_hybrid_vertical_headers) + df = pd.DataFrame(data_network_vertical_headers) filename = os.path.join(testdir, "vertical_header.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") assert len(tables) == 1 assert_frame_equal(df, tables[0].df) -def test_hybrid_table_regions(): - df = pd.DataFrame(data_hybrid_table_regions) +def test_network_table_regions(): + df = pd.DataFrame(data_network_table_regions) filename = os.path.join(testdir, "tabula/us-007.pdf") # The "stream" test looks for a region in ["320,460,573,335"], which # should exclude the header. tables = camelot.read_pdf( - filename, flavor="hybrid", table_regions=["320,335,573,505"] + filename, flavor="network", table_regions=["320,335,573,505"] ) assert_frame_equal(df, tables[0].df) -def test_hybrid_table_areas(): +def test_network_table_areas(): df = pd.DataFrame(data_stream_table_areas) filename = os.path.join(testdir, "tabula/us-007.pdf") tables = camelot.read_pdf( - filename, flavor="hybrid", table_areas=["320,500,573,335"] + filename, flavor="network", table_areas=["320,500,573,335"] ) assert_frame_equal(df, tables[0].df) -def test_hybrid_columns(): +def test_network_columns(): df = pd.DataFrame(data_stream_columns) filename = os.path.join(testdir, "mexican_towns.pdf") tables = camelot.read_pdf( - filename, flavor="hybrid", columns=["67,180,230,425,475"], row_tol=10 + filename, flavor="network", columns=["67,180,230,425,475"], row_tol=10 ) assert_frame_equal(df, tables[0].df) -def test_hybrid_split_text(): - df = pd.DataFrame(data_hybrid_split_text) +def test_network_split_text(): + df = pd.DataFrame(data_network_split_text) filename = os.path.join(testdir, "tabula/m27.pdf") tables = camelot.read_pdf( filename, - flavor="hybrid", + flavor="network", columns=["72,95,209,327,442,529,566,606,683"], split_text=True, ) assert_frame_equal(df, tables[0].df) -def test_hybrid_flag_size(): - df = pd.DataFrame(data_hybrid_flag_size) +def test_network_flag_size(): + df = pd.DataFrame(data_network_flag_size) filename = os.path.join(testdir, "superscript.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid", flag_size=True) + tables = camelot.read_pdf(filename, flavor="network", flag_size=True) assert_frame_equal(df, tables[0].df) -def test_hybrid_strip_text(): - df = pd.DataFrame(data_hybrid_strip_text) +def test_network_strip_text(): + df = pd.DataFrame(data_network_strip_text) filename = os.path.join(testdir, "detect_vertical_false.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid", strip_text=" ,\n") + tables = camelot.read_pdf(filename, flavor="network", strip_text=" ,\n") assert_frame_equal(df, tables[0].df) -def test_hybrid_edge_tol(): - df = pd.DataFrame(data_hybrid_edge_tol) +def test_network_edge_tol(): + df = pd.DataFrame(data_network_edge_tol) filename = os.path.join(testdir, "edge_tol.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid", edge_tol=500) + tables = camelot.read_pdf(filename, flavor="network", edge_tol=500) assert_frame_equal(df, tables[0].df) -def test_hybrid_layout_kwargs(): +def test_network_layout_kwargs(): df = pd.DataFrame(data_stream_layout_kwargs) filename = os.path.join(testdir, "detect_vertical_false.pdf") tables = camelot.read_pdf( - filename, flavor="hybrid", layout_kwargs={"detect_vertical": False} + filename, flavor="network", layout_kwargs={"detect_vertical": False} ) assert_frame_equal(df, tables[0].df) diff --git a/tests/test_errors.py b/tests/test_errors.py index 321cd86..835dc46 100755 --- a/tests/test_errors.py +++ b/tests/test_errors.py @@ -15,7 +15,7 @@ filename = os.path.join(testdir, 'foo.pdf') def test_unknown_flavor(): message = ("Unknown flavor specified." - " Use either 'lattice', 'stream', or 'hybrid'") + " Use either 'lattice', 'stream', or 'network'") with pytest.raises(NotImplementedError, match=message): camelot.read_pdf(filename, flavor='chocolate') diff --git a/tests/test_plotting.py b/tests/test_plotting.py index 912e3a7..ea51bc9 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -62,9 +62,9 @@ def test_stream_grid_plot(): @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True, tolerance=TOLERANCE) -def test_hybrid_grid_plot(): +def test_network_grid_plot(): filename = os.path.join(testdir, "foo.pdf") - tables = camelot.read_pdf(filename, flavor="hybrid") + tables = camelot.read_pdf(filename, flavor="network") return unit_test_stable_plot(tables[0], 'grid') @@ -86,9 +86,9 @@ def test_stream_contour_plot(): @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True, tolerance=TOLERANCE) -def test_hybrid_contour_plot(): +def test_network_contour_plot(): filename = os.path.join(testdir, "tabula/12s0324.pdf") - tables = camelot.read_pdf(filename, flavor='hybrid') + tables = camelot.read_pdf(filename, flavor='network') return unit_test_stable_plot(tables[0], 'contour') @@ -118,18 +118,18 @@ def test_stream_textedge_plot(): @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True, tolerance=TOLERANCE) -def test_hybrid_textedge_plot(): +def test_network_textedge_plot(): filename = os.path.join(testdir, "tabula/12s0324.pdf") - tables = camelot.read_pdf(filename, debug=True, flavor='hybrid') + tables = camelot.read_pdf(filename, debug=True, flavor='network') return unit_test_stable_plot(tables[0], 'textedge') @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True, tolerance=TOLERANCE) -def test_hybrid_table_regions_textedge_plot(): +def test_network_table_regions_textedge_plot(): filename = os.path.join(testdir, "tabula/us-007.pdf") tables = camelot.read_pdf( - filename, debug=True, flavor="hybrid", + filename, debug=True, flavor="network", table_regions=["320,505,573,330"] ) return unit_test_stable_plot(tables[0], 'textedge') @@ -137,10 +137,10 @@ def test_hybrid_table_regions_textedge_plot(): @pytest.mark.mpl_image_compare( baseline_dir="files/baseline_plots", remove_text=True, tolerance=TOLERANCE) -def test_hybrid_table_areas_text_plot(): +def test_network_table_areas_text_plot(): filename = os.path.join(testdir, "tabula/us-007.pdf") tables = camelot.read_pdf( - filename, debug=True, flavor="hybrid", + filename, debug=True, flavor="network", table_areas=["320,500,573,335"] ) return unit_test_stable_plot(tables[0], 'text') From 77d289bd865fa6febcc042eb46a0bd4be7ce35b0 Mon Sep 17 00:00:00 2001 From: Frh Date: Mon, 4 May 2020 16:27:01 -0700 Subject: [PATCH 57/60] WIP: Introduce actual hybrid parser Create hybrid parser leverage both lattice and network techniques. Simplify plotting of pdf in lattice case. Rename "parser.table_bbox" into "parser.table_bbox_parses", since it represents not a bbox but a dict of bbox to corresponding parsing data. Still missing: more unit tests, plotting of steps. --- camelot/cli.py | 3 +- camelot/core.py | 4 +- camelot/handlers.py | 6 +- camelot/image_processing.py | 32 +- camelot/io.py | 2 +- camelot/parsers/__init__.py | 1 + camelot/parsers/base.py | 51 +- camelot/parsers/hybrid.py | 221 ++++++++ camelot/parsers/lattice.py | 77 ++- camelot/parsers/network.py | 39 +- camelot/parsers/stream.py | 36 +- camelot/plotting.py | 65 +-- camelot/utils.py | 108 +++- parser-comparison-notebook.ipynb | 74 +-- tests/data.py | 496 ++++++++++++++++++ .../files/baseline_plots/test_joint_plot.png | Bin 33969 -> 47105 bytes tests/test_common.py | 13 + 17 files changed, 1011 insertions(+), 217 deletions(-) create mode 100644 camelot/parsers/hybrid.py diff --git a/camelot/cli.py b/camelot/cli.py index 9ca14e5..e3948e0 100644 --- a/camelot/cli.py +++ b/camelot/cli.py @@ -396,7 +396,8 @@ def network(c, *args, **kwargs): "Please specify output file format using --format") tables = read_pdf( - filepath, pages=pages, flavor="network", suppress_stdout=quiet, **kwargs + filepath, pages=pages, flavor="network", + suppress_stdout=quiet, **kwargs ) click.echo("Found {} tables".format(tables.n)) if plot_type is not None: diff --git a/camelot/core.py b/camelot/core.py index 4e2e44d..00591c3 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -454,7 +454,9 @@ class Table(): self.page = None self.flavor = None # Flavor of the parser used self.pdf_size = None # Dimensions of the original PDF page - self.parse_details = None # Field holding debug data + self._bbox = None # Bounding box in original document + self.parse = None # Parse information + self.parse_details = None # Field holding extra debug data self._image = None self._image_path = None # Temporary file to hold an image of the pdf diff --git a/camelot/handlers.py b/camelot/handlers.py index af6838d..b07bea3 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -7,7 +7,7 @@ import logging from PyPDF2 import PdfFileReader, PdfFileWriter from .core import TableList -from .parsers import Stream, Lattice, Network +from .parsers import Stream, Lattice, Network, Hybrid from .utils import ( build_file_path_in_temp_dir, get_page_layout, @@ -23,6 +23,7 @@ PARSERS = { "lattice": Lattice, "stream": Stream, "network": Network, + "hybrid": Hybrid, } @@ -177,7 +178,8 @@ class PDFHandler(): Parameters ---------- flavor : str (default: 'lattice') - The parsing method to use ('lattice', 'stream', or 'network'). + The parsing method to use ('lattice', 'stream', 'network', + or 'hybrid'). Lattice is used by default. suppress_stdout : str (default: False) Suppress logs and warnings. diff --git a/camelot/image_processing.py b/camelot/image_processing.py index 7b87101..9f23430 100644 --- a/camelot/image_processing.py +++ b/camelot/image_processing.py @@ -6,7 +6,9 @@ import cv2 import numpy as np -def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2): +def adaptive_threshold( + imagename, process_background=False, + blocksize=15, c=-2): """Thresholds an image using OpenCV's adaptiveThreshold. Parameters @@ -19,12 +21,12 @@ def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2): Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on. - For more information, refer `OpenCV's adaptiveThreshold `_. + For more information, refer `OpenCV's adaptiveThreshold `_. # noqa c : int, optional (default: -2) Constant subtracted from the mean or weighted mean. Normally, it is positive but may be zero or negative as well. - For more information, refer `OpenCV's adaptiveThreshold `_. + For more information, refer `OpenCV's adaptiveThreshold `_. # noqa Returns ------- @@ -39,7 +41,10 @@ def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2): if process_background: threshold = cv2.adaptiveThreshold( - gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, blocksize, c + gray, + 255, + cv2.ADAPTIVE_THRESH_GAUSSIAN_C, + cv2.THRESH_BINARY, blocksize, c ) else: threshold = cv2.adaptiveThreshold( @@ -54,7 +59,8 @@ def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2): def find_lines( - threshold, regions=None, direction="horizontal", line_scale=15, iterations=0 + threshold, regions=None, + direction="horizontal", line_scale=15, iterations=0 ): """Finds horizontal and vertical lines by applying morphological transformations on an image. @@ -78,7 +84,7 @@ def find_lines( iterations : int, optional (default: 0) Number of times for erosion/dilation is applied. - For more information, refer `OpenCV's dilate `_. + For more information, refer `OpenCV's dilate `_. # noqa Returns ------- @@ -100,13 +106,15 @@ def find_lines( size = threshold.shape[1] // line_scale el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1)) elif direction is None: - raise ValueError("Specify direction as either 'vertical' or 'horizontal'") + raise ValueError( + "Specify direction as either 'vertical' or 'horizontal'" + ) if regions is not None: region_mask = np.zeros(threshold.shape) for region in regions: x, y, w, h = region - region_mask[y : y + h, x : x + w] = 1 + region_mask[y:y + h, x:x + w] = 1 threshold = np.multiply(threshold, region_mask) threshold = cv2.erode(threshold, el) @@ -115,12 +123,14 @@ def find_lines( try: _, contours, _ = cv2.findContours( - threshold.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE + threshold.astype(np.uint8), cv2.RETR_EXTERNAL, + cv2.CHAIN_APPROX_SIMPLE ) except ValueError: # for opencv backward compatibility contours, _ = cv2.findContours( - threshold.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE + threshold.astype(np.uint8), cv2.RETR_EXTERNAL, + cv2.CHAIN_APPROX_SIMPLE ) for c in contours: @@ -202,7 +212,7 @@ def find_joints(contours, vertical, horizontal): tables = {} for c in contours: x, y, w, h = c - roi = joints[y : y + h, x : x + w] + roi = joints[y:y + h, x:x + w] try: __, jc, __ = cv2.findContours( roi.astype(np.uint8), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE diff --git a/camelot/io.py b/camelot/io.py index b7db318..4657058 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -99,7 +99,7 @@ def read_pdf( """ layout_kwargs = layout_kwargs or {} - if flavor not in ["lattice", "stream", "network"]: + if flavor not in ["lattice", "stream", "network", "hybrid"]: raise NotImplementedError( "Unknown flavor specified." " Use either 'lattice', 'stream', or 'network'" diff --git a/camelot/parsers/__init__.py b/camelot/parsers/__init__.py index f19c599..b33a1bf 100644 --- a/camelot/parsers/__init__.py +++ b/camelot/parsers/__init__.py @@ -3,3 +3,4 @@ from .stream import Stream from .lattice import Lattice from .network import Network +from .hybrid import Hybrid diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 0ad4c42..f6c9ea6 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -34,8 +34,9 @@ class BaseParser(): self.id = parser_id self.table_regions = table_regions self.table_areas = table_areas - self.table_bbox = {} + self.table_bbox_parses = {} + self.columns = None self.copy_text = copy_text self.split_text = split_text self.strip_text = strip_text @@ -47,10 +48,18 @@ class BaseParser(): self.t_bbox = None # For plotting details of parsing algorithms + self.resolution = 300 # default plotting resolution of the PDF. self.parse_details = {} if not debug: self.parse_details = None + def table_bboxes(self): + return sorted( + self.table_bbox_parses.keys(), + key=lambda x: x[1], + reverse=True + ) + def prepare_page_parse(self, filename, layout, dimensions, page_idx, layout_kwargs): self.filename = filename @@ -142,6 +151,7 @@ class BaseParser(): table = Table(cols, rows) table.page = self.page table.order = table_idx + 1 + table._bbox = self.table_bboxes()[table_idx] return table @staticmethod @@ -177,7 +187,7 @@ class BaseParser(): table.cells[r_idx][c_idx].text = text return pos_errors - def _generate_columns_and_rows(self, bbox, table_idx): + def _generate_columns_and_rows(self, bbox, user_cols): # Pure virtual, must be defined by the derived parser raise NotImplementedError() @@ -199,20 +209,23 @@ class BaseParser(): _tables = [] # sort tables based on y-coord - for table_idx, bbox in enumerate( - sorted( - self.table_bbox.keys(), - key=lambda x: x[1], - reverse=True - ) - ): + for table_idx, bbox in enumerate(self.table_bboxes()): + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + user_cols = self.columns[table_idx].split(",") + user_cols = [float(c) for c in user_cols] + else: + user_cols = None + cols, rows, v_s, h_s = self._generate_columns_and_rows( bbox, - table_idx + user_cols ) table = self._generate_table( table_idx, cols, rows, v_s=v_s, h_s=h_s) - table._bbox = bbox _tables.append(table) return _tables @@ -222,6 +235,7 @@ class BaseParser(): """ table.flavor = self.id table.filename = self.filename + table.parse = self.table_bbox_parses[table._bbox] table.parse_details = self.parse_details pos_errors = self.compute_parse_errors(table) table.accuracy = compute_accuracy([[100, pos_errors]]) @@ -453,17 +467,16 @@ class TextBaseParser(BaseParser): raise ValueError("Length of table_areas and columns" " should be equal") - def record_parse_metadata(self, table): - """Record data about the origin of the table - """ - super().record_parse_metadata(table) - # for plotting - table._bbox = self.table_bbox - table._segments = None - def _generate_table(self, table_idx, cols, rows, **kwargs): table = self._initialize_new_table(table_idx, cols, rows) table = table.set_all_edges() self.record_parse_metadata(table) return table + + def record_parse_metadata(self, table): + """Record data about the origin of the table + """ + super().record_parse_metadata(table) + # for plotting + table._segments = None diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py new file mode 100644 index 0000000..e84dfa8 --- /dev/null +++ b/camelot/parsers/hybrid.py @@ -0,0 +1,221 @@ +# -*- coding: utf-8 -*- + +from ..utils import ( + bboxes_overlap, + boundaries_to_split_lines, +) + +from .base import BaseParser +from .network import Network +from .lattice import Lattice + + +class Hybrid(BaseParser): + """Defines a hybrid parser, leveraging both network and lattice parsers. + + Parameters + ---------- + table_regions : list, optional (default: None) + List of page regions that may contain tables of the form x1,y1,x2,y2 + where (x1, y1) -> left-top and (x2, y2) -> right-bottom + in PDF coordinate space. + table_areas : list, optional (default: None) + List of table area strings of the form x1,y1,x2,y2 + where (x1, y1) -> left-top and (x2, y2) -> right-bottom + in PDF coordinate space. + columns : list, optional (default: None) + List of column x-coordinates strings where the coordinates + are comma-separated. + split_text : bool, optional (default: False) + Split text that spans across multiple cells. + flag_size : bool, optional (default: False) + Flag text based on font size. Useful to detect + super/subscripts. Adds around flagged text. + strip_text : str, optional (default: '') + Characters that should be stripped from a string before + assigning it to a cell. + edge_tol : int, optional (default: 50) + Tolerance parameter for extending textedges vertically. + row_tol : int, optional (default: 2) + Tolerance parameter used to combine text vertically, + to generate rows. + column_tol : int, optional (default: 0) + Tolerance parameter used to combine text horizontally, + to generate columns. + + """ + + def __init__( + self, + table_regions=None, + table_areas=None, + columns=None, + flag_size=False, + split_text=False, + strip_text="", + edge_tol=None, + row_tol=2, + column_tol=0, + debug=False, + **kwargs): + super().__init__( + "hybrid", + table_regions=table_regions, + table_areas=table_areas, + flag_size=flag_size, + split_text=split_text, + strip_text=strip_text, + debug=debug, + ) + self.network_parser = Network( + table_regions=table_regions, + table_areas=table_areas, + columns=columns, + flag_size=flag_size, + split_text=split_text, + strip_text=strip_text, + edge_tol=edge_tol, + row_tol=row_tol, + column_tol=column_tol, + debug=debug, + ) + self.lattice_parser = Lattice( + table_regions=table_regions, + table_areas=table_areas, + flag_size=flag_size, + split_text=split_text, + strip_text=strip_text, + edge_tol=edge_tol, + row_tol=row_tol, + column_tol=column_tol, + debug=debug, + ) + + def prepare_page_parse(self, filename, layout, dimensions, + page_idx, layout_kwargs): + super().prepare_page_parse(filename, layout, dimensions, + page_idx, layout_kwargs) + self.network_parser.prepare_page_parse( + filename, layout, dimensions, page_idx, layout_kwargs) + self.lattice_parser.prepare_page_parse( + filename, layout, dimensions, page_idx, layout_kwargs) + + def _generate_columns_and_rows(self, bbox, table_idx): + parser = self.table_bbox_parses[bbox] + return parser._generate_columns_and_rows(bbox, table_idx) + + def _generate_table(self, table_idx, cols, rows, **kwargs): + bbox = self.table_bboxes()[table_idx] + parser = self.table_bbox_parses[bbox] + return parser._generate_table(table_idx, cols, rows, **kwargs) + + @staticmethod + def _augment_boundaries_with_splits(boundaries, splits, tolerance=0): + """ Augment existing boundaries using provided hard splits. + + Boundaries: |---| |-| |---------| + Splits: | | | | + Augmented: |-------|-----|-------|--| + """ + idx_boundaries = len(boundaries) - 1 + idx_splits = len(splits) - 1 + previous_boundary = None + while True: + if idx_splits < 0: + # No more splits to incorporate, we're done + break + split = splits[idx_splits] + + if idx_boundaries < 0: + # Need to insert remaining splits + new_boundary = [split, boundaries[0][0]] + boundaries.insert(0, new_boundary) + idx_splits = idx_splits - 1 + else: + boundary = \ + boundaries[idx_boundaries] + if boundary[1] < \ + split + tolerance: + # The lattice column is further to the right of our + # col boundary. We move our left boundary to match. + boundary[1] = split + # And if there was another segment after, we make its + # right boundary match as well so that there's no gap + if previous_boundary is not None: + previous_boundary[0] = split + idx_splits = idx_splits - 1 + elif boundary[0] > \ + split - tolerance: + # Our boundary is fully after the split, move on + idx_boundaries = idx_boundaries - 1 + previous_boundary = boundary + else: + # The split is inside our boundary: split it + new_boundary = [split, boundary[1]] + boundaries.insert(idx_boundaries + 1, new_boundary) + boundary[1] = split + previous_boundary = new_boundary + idx_splits = idx_splits - 1 + return boundaries + + def _merge_bbox_analysis(self, lattice_bbox, network_bbox): + """ Identify splits that were only detected by lattice or by network + """ + lattice_parse = self.lattice_parser.table_bbox_parses[lattice_bbox] + lattice_cols, lattice_rows = \ + lattice_parse["col_anchors"], lattice_parse["row_anchors"] + + network_bbox_data = self.network_parser.table_bbox_parses[network_bbox] + network_cols_boundaries = network_bbox_data["cols_boundaries"] + + # Favor hybrid, but complete or adjust its columns based on the + # splits identified by lattice. + if network_cols_boundaries is None: + self.table_bbox_parses[lattice_bbox] = self.lattice_parser + else: + network_cols_boundaries = self._augment_boundaries_with_splits( + network_cols_boundaries, lattice_cols) # self.column_tol??? + augmented_bbox = ( + network_cols_boundaries[0][0], network_bbox[1], + network_cols_boundaries[-1][1], network_bbox[3], + ) + network_bbox_data["cols_anchors"] = \ + boundaries_to_split_lines(network_cols_boundaries) + + del self.network_parser.table_bbox_parses[network_bbox] + self.network_parser.table_bbox_parses[augmented_bbox] = \ + network_bbox_data + self.table_bbox_parses[augmented_bbox] = self.network_parser + + def _generate_table_bbox(self): + # Collect bboxes from both parsers + self.lattice_parser._generate_table_bbox() + _lattice_bboxes = sorted( + self.lattice_parser.table_bbox_parses, + key=lambda bbox: (bbox[0], -bbox[1])) + self.network_parser._generate_table_bbox() + _network_bboxes = sorted( + self.network_parser.table_bbox_parses, + key=lambda bbox: (bbox[0], -bbox[1])) + + # Merge the data from both processes + for lattice_bbox in _lattice_bboxes: + merged = False + + for idx in range(len(_network_bboxes)-1, -1, -1): + network_bbox = _network_bboxes[idx] + if not bboxes_overlap(lattice_bbox, network_bbox): + continue + self._merge_bbox_analysis(lattice_bbox, network_bbox) + # network_bbox_data["cols_boundaries"] + del _network_bboxes[idx] + merged = True + if not merged: + self.table_bbox_parses[lattice_bbox] = self.lattice_parser + + # Add the bboxes from network that haven't been merged + for network_bbox in _network_bboxes: + self.table_bbox_parses[network_bbox] = self.network_parser + + def record_parse_metadata(self, table): + super().record_parse_metadata(table) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 84ce5a2..05bd649 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -2,8 +2,6 @@ from __future__ import division import os -import copy - from .base import BaseParser from ..utils import ( @@ -173,7 +171,6 @@ class Lattice(BaseParser): super().record_parse_metadata(table) # for plotting table._image = self.pdf_image # Reuse the image used for calc - table._bbox_unscaled = self.table_bbox_unscaled table._segments = (self.vertical_segments, self.horizontal_segments) def _generate_table_bbox(self): @@ -193,7 +190,7 @@ class Lattice(BaseParser): os.path.basename(self.filename), ".png" ) - export_pdf_as_png(self.filename, self.image_path) + export_pdf_as_png(self.filename, self.image_path, self.resolution) self.pdf_image, self.threshold = adaptive_threshold( self.image_path, process_background=self.process_background, @@ -250,17 +247,59 @@ class Lattice(BaseParser): areas = scale_areas(self.table_areas) table_bbox = find_joints(areas, vertical_mask, horizontal_mask) - self.table_bbox_unscaled = copy.deepcopy(table_bbox) - [ - self.table_bbox, + self.table_bbox_parses, self.vertical_segments, self.horizontal_segments ] = scale_image( table_bbox, vertical_segments, horizontal_segments, pdf_scalers ) - def _generate_columns_and_rows(self, bbox, table_idx): + for bbox, parse in self.table_bbox_parses.items(): + joints = parse["joints"] + + # Merge x coordinates that are close together + line_tol = self.line_tol + # Sort the joints, make them a list of lists (instead of sets) + joints_normalized = list( + map( + lambda x: list(x), + sorted(joints, key=lambda j: - j[0]) + ) + ) + for idx in range(1, len(joints_normalized)): + x_left, x_right = \ + joints_normalized[idx-1][0], joints_normalized[idx][0] + if x_left - line_tol <= x_right <= x_left + line_tol: + joints_normalized[idx][0] = x_left + + # Merge y coordinates that are close together + joints_normalized = sorted(joints_normalized, key=lambda j: -j[1]) + for idx in range(1, len(joints_normalized)): + y_bottom, y_top = \ + joints_normalized[idx-1][1], joints_normalized[idx][1] + if y_bottom - line_tol <= y_top <= y_bottom + line_tol: + joints_normalized[idx][1] = y_bottom + + # FRHTODO: check this is useful, otherwise get rid of the code + # above + parse["joints_normalized"] = joints_normalized + + cols = list(map(lambda coords: coords[0], joints)) + cols.extend([bbox[0], bbox[2]]) + rows = list(map(lambda coords: coords[1], joints)) + rows.extend([bbox[1], bbox[3]]) + + # sort horizontal and vertical segments + cols = merge_close_lines(sorted(cols), line_tol=self.line_tol) + rows = merge_close_lines( + sorted(rows, reverse=True), + line_tol=self.line_tol + ) + parse["col_anchors"] = cols + parse["row_anchors"] = rows + + def _generate_columns_and_rows(self, bbox, user_cols): # select elements which lie within table_bbox v_s, h_s = segments_in_bbox( bbox, self.vertical_segments, self.horizontal_segments @@ -270,21 +309,17 @@ class Lattice(BaseParser): self.horizontal_text, self.vertical_text ) + parse = self.table_bbox_parses[bbox] - cols, rows = zip(*self.table_bbox[bbox]) - cols, rows = list(cols), list(rows) - cols.extend([bbox[0], bbox[2]]) - rows.extend([bbox[1], bbox[3]]) - # sort horizontal and vertical segments - cols = merge_close_lines(sorted(cols), line_tol=self.line_tol) - rows = merge_close_lines( - sorted(rows, reverse=True), - line_tol=self.line_tol - ) # make grid using x and y coord of shortlisted rows and cols - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)] - + cols = [ + (parse["col_anchors"][i], parse["col_anchors"][i + 1]) + for i in range(0, len(parse["col_anchors"]) - 1) + ] + rows = [ + (parse["row_anchors"][i], parse["row_anchors"][i + 1]) + for i in range(0, len(parse["row_anchors"]) - 1) + ] return cols, rows, v_s, h_s def _generate_table(self, table_idx, cols, rows, **kwargs): diff --git a/camelot/parsers/network.py b/camelot/parsers/network.py index 801da82..3356053 100644 --- a/camelot/parsers/network.py +++ b/camelot/parsers/network.py @@ -19,7 +19,8 @@ from ..utils import ( text_in_bbox, textlines_overlapping_bbox, bbox_from_textlines, - find_columns_coordinates, + find_columns_boundaries, + boundaries_to_split_lines, text_in_bbox_per_axis, ) @@ -438,7 +439,7 @@ class TextNetworks(TextAlignments): tls_search_space.remove(most_aligned_tl) tls_in_bbox = [most_aligned_tl] last_bbox = None - last_cols_cand = [most_aligned_tl.x0, most_aligned_tl.x1] + last_cols_bounds = [(most_aligned_tl.x0, most_aligned_tl.x1)] while last_bbox != bbox: if parse_details_search is not None: # Store debug info @@ -479,9 +480,9 @@ class TextNetworks(TextAlignments): # of the new row won't reduce the number of columns. # This happens when text covers multiple rows - that's only # allowed in the header, treated separately. - cols_cand = find_columns_coordinates(tls_in_new_box) + cols_bounds = find_columns_boundaries(tls_in_new_box) if direction in ["bottom", "top"] and \ - len(cols_cand) < len(last_cols_cand): + len(cols_bounds) < len(last_cols_bounds): continue # We have an expansion candidate: register it, update the @@ -489,7 +490,7 @@ class TextNetworks(TextAlignments): # We use bbox_from_textlines instead of cand_bbox in case some # overlapping textlines require a large bbox for strict fit. bbox = cand_bbox = list(bbox_from_textlines(tls_in_new_box)) - last_cols_cand = cols_cand + last_cols_bounds = cols_bounds tls_in_bbox.extend(new_tls) for i in range(len(tls_search_space) - 1, -1, -1): textline = tls_search_space[i] @@ -591,7 +592,7 @@ class Network(TextBaseParser): textlines = self._apply_regions_filter(all_textlines) textlines_processed = {} - self.table_bbox = {} + self.table_bbox_parses = {} if self.parse_details is not None: parse_details_network_searches = [] self.parse_details["network_searches"] = \ @@ -641,7 +642,8 @@ class Network(TextBaseParser): # Get all the textlines that overlap with the box, compute # columns tls_in_bbox = textlines_overlapping_bbox(bbox_body, textlines) - cols_anchors = find_columns_coordinates(tls_in_bbox) + cols_boundaries = find_columns_boundaries(tls_in_bbox) + cols_anchors = boundaries_to_split_lines(cols_boundaries) # Unless the user gave us strict bbox_body, try to find a header # above the body to build the full bbox. @@ -662,10 +664,11 @@ class Network(TextBaseParser): table_parse = { "bbox_body": bbox_body, + "cols_boundaries": cols_boundaries, "cols_anchors": cols_anchors, "bbox_full": bbox_full } - self.table_bbox[bbox_full] = table_parse + self.table_bbox_parses[bbox_full] = table_parse if self.parse_details is not None: self.parse_details["col_searches"].append(table_parse) @@ -678,7 +681,7 @@ class Network(TextBaseParser): textlines )) - def _generate_columns_and_rows(self, bbox, table_idx): + def _generate_columns_and_rows(self, bbox, user_cols): # select elements which lie within table_bbox self.t_bbox = text_in_bbox_per_axis( bbox, @@ -706,18 +709,14 @@ class Network(TextBaseParser): rows_grouped = self._group_rows(all_tls, row_tol=self.row_tol) rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - if self.columns is not None and self.columns[table_idx] != "": - # user has to input boundary columns too - # take (0, pdf_width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_idx].split(",") - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + if user_cols is not None: + cols = [text_x_min] + user_cols + [text_x_max] + cols = [ + (cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1) + ] else: - parse_details = self.table_bbox[bbox] + parse_details = self.table_bbox_parses[bbox] col_anchors = parse_details["cols_anchors"] cols = list(map( lambda idx: [col_anchors[idx], col_anchors[idx + 1]], diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 6a1da23..1f8d8c6 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -122,14 +122,14 @@ class Stream(TextBaseParser): self.horizontal_text) hor_text.extend(region_text) # find tables based on nurminen's detection algorithm - table_bbox = self._nurminen_table_detection(hor_text) + table_bbox_parses = self._nurminen_table_detection(hor_text) else: - table_bbox = {} + table_bbox_parses = {} for area_str in self.table_areas: - table_bbox[bbox_from_str(area_str)] = None - self.table_bbox = table_bbox + table_bbox_parses[bbox_from_str(area_str)] = None + self.table_bbox_parses = table_bbox_parses - def _generate_columns_and_rows(self, bbox, table_idx): + def _generate_columns_and_rows(self, bbox, user_cols): # select elements which lie within table_bbox self.t_bbox = text_in_bbox_per_axis( bbox, @@ -140,26 +140,18 @@ class Stream(TextBaseParser): text_x_min, text_y_min, text_x_max, text_y_max = bbox_from_textlines( self.t_bbox["horizontal"] + self.t_bbox["vertical"] ) - # FRHTODO: - # This algorithm takes the horizontal textlines in the bbox, and groups - # them into rows based on their bottom y0. - # That's wrong: it misses the vertical items, and misses out on all - # the alignment identification work we've done earlier. + rows_grouped = self._group_rows( self.t_bbox["horizontal"], row_tol=self.row_tol) rows = self._join_rows(rows_grouped, text_y_max, text_y_min) elements = [len(r) for r in rows_grouped] - if self.columns is not None and self.columns[table_idx] != "": - # user has to input boundary columns too - # take (0, pdf_width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_idx].split(",") - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + if user_cols is not None: + cols = [text_x_min] + user_cols + [text_x_max] + cols = [ + (cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1) + ] else: # calculate mode of the list of number of elements in # each row to guess the number of columns @@ -175,8 +167,8 @@ class Stream(TextBaseParser): ncols = max(set(elements), key=elements.count) else: warnings.warn( - "No tables found in table area {}" - .format(table_idx + 1) + "No tables found in table area {bbox}".format( + bbox=bbox) ) cols = [ (t.x0, t.x1) diff --git a/camelot/plotting.py b/camelot/plotting.py index 4fe57a6..26aec3e 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -74,7 +74,7 @@ def draw_labeled_bbox( ) -def draw_pdf(table, ax, to_pdf_scale=True): +def draw_pdf(table, ax): """Draw the content of the table's source pdf into the passed subplot Parameters @@ -83,14 +83,9 @@ def draw_pdf(table, ax, to_pdf_scale=True): ax : matplotlib.axes.Axes (optional) - to_pdf_scale : bool (optional) - """ img = table.get_pdf_image() - if to_pdf_scale: - ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) - else: - ax.imshow(img) + ax.imshow(img, extent=(0, table.pdf_size[0], 0, table.pdf_size[1])) def draw_parse_constraints(table, ax): @@ -132,8 +127,6 @@ def draw_text(table, ax): table : camelot.core.Table ax : matplotlib.axes.Axes (optional) - ax : matplotlib.axes.Axes - """ bbox = bbox_from_textlines(table.textlines) for t in table.textlines: @@ -150,18 +143,14 @@ def draw_text(table, ax): extend_axe_lim(ax, bbox) -def prepare_plot(table, ax=None, to_pdf_scale=True): +def prepare_plot(table, ax=None): """Initialize plot and draw common components Parameters ---------- table : camelot.core.Table + ax : matplotlib.axes.Axes (optional) - to_pdf_scale : - - ax : matplotlib.axes.Axes - - to_pdf_scale : bool (optional) Returns ------- @@ -170,7 +159,7 @@ def prepare_plot(table, ax=None, to_pdf_scale=True): if ax is None: fig = plt.figure() ax = fig.add_subplot(111, aspect="equal") - draw_pdf(table, ax, to_pdf_scale) + draw_pdf(table, ax) draw_parse_constraints(table, ax) return ax @@ -186,7 +175,8 @@ class PlotMethods(): table: camelot.core.Table A Camelot Table. kind : str, optional (default: 'text') - {'text', 'grid', 'contour', 'joint', 'line'} + {'text', 'grid', 'contour', 'joint', 'line', + 'network_table_search'} The element type for which a plot should be generated. filepath: str, optional (default: None) Absolute path for saving the generated plot. @@ -203,9 +193,12 @@ class PlotMethods(): raise NotImplementedError( "Lattice flavor does not support kind='{}'".format(kind) ) - if table.flavor in ["stream", "network"] and kind in ["line"]: + if table.flavor != "lattice" and kind in ["line"]: raise NotImplementedError( - "Stream flavor does not support kind='{}'".format(kind) + "{flavor} flavor does not support kind='{kind}'".format( + flavor=table.flavor, + kind=kind + ) ) plot_method = getattr(self, kind) @@ -274,25 +267,21 @@ class PlotMethods(): """ _FOR_LATTICE = table.flavor == "lattice" - ax = prepare_plot(table, ax, to_pdf_scale=not _FOR_LATTICE) - - if _FOR_LATTICE: - table_bbox = table._bbox_unscaled - else: - table_bbox = {table._bbox: None} + ax = prepare_plot(table, ax) if not _FOR_LATTICE: draw_text(table, ax) - for t in table_bbox.keys(): - ax.add_patch( - patches.Rectangle( - (t[0], t[1]), t[2] - t[0], t[3] - t[1], - fill=False, color="red" - ) + ax.add_patch( + patches.Rectangle( + (table._bbox[0], table._bbox[1]), + table._bbox[2] - table._bbox[0], + table._bbox[3] - table._bbox[1], + fill=False, color="red" ) - if not _FOR_LATTICE: - extend_axe_lim(ax, t) + ) + if not _FOR_LATTICE: + extend_axe_lim(ax, table._bbox) return ax.get_figure() @@ -393,14 +382,12 @@ class PlotMethods(): fig : matplotlib.fig.Figure """ - ax = prepare_plot(table, ax, to_pdf_scale=False) - table_bbox = table._bbox_unscaled + ax = prepare_plot(table, ax) x_coord = [] y_coord = [] - for k in table_bbox.keys(): - for coord in table_bbox[k]: - x_coord.append(coord[0]) - y_coord.append(coord[1]) + for coord in table.parse["joints"]: + x_coord.append(coord[0]) + y_coord.append(coord[1]) ax.plot(x_coord, y_coord, "ro") return ax.get_figure() diff --git a/camelot/utils.py b/camelot/utils.py index 27d5b1e..d24230d 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -297,8 +297,9 @@ def scale_image(tables, v_segments, h_segments, factors): j_x, j_y = zip(*tables[k]) j_x = [scale(j, scaling_factor_x) for j in j_x] j_y = [scale(abs(translate(-img_y, j)), scaling_factor_y) for j in j_y] - joints = zip(j_x, j_y) - tables_new[(x1, y1, x2, y2)] = joints + tables_new[(x1, y1, x2, y2)] = { + "joints": list(zip(j_x, j_y)) + } v_segments_new = [] for v in v_segments: @@ -434,6 +435,16 @@ def bbox_from_str(bbox_str): ) +def bboxes_overlap(bbox1, bbox2): + (left1, bottom1, right1, top1) = bbox1 + (left2, bottom2, right2, top2) = bbox2 + return ( + (left1 < left2 < right1) or (left1 < right2 < right1) + ) and ( + (bottom1 < bottom2 < top1) or (bottom1 < top2 < top1) + ) + + def textlines_overlapping_bbox(bbox, textlines): """Returns all text objects which overlap or are within a bounding box. @@ -451,12 +462,10 @@ def textlines_overlapping_bbox(bbox, textlines): List of PDFMiner text objects. """ - (left, bottom, right, top) = bbox t_bbox = [ t for t in textlines - if ((left < t.x0 < right) or (left < t.x1 < right)) - and ((bottom < t.y0 < top) or (bottom < t.y1 < top)) + if bboxes_overlap(bbox, (t.x0, t.y0, t.x1, t.y1)) ] return t_bbox @@ -560,27 +569,25 @@ def bbox_from_textlines(textlines): return bbox -def find_columns_coordinates(tls, min_gap=1.0): - """Given a list of text objects, guess columns boundaries and returns a - list of x-coordinates for split points between columns. +def find_columns_boundaries(tls, min_gap=1.0): + """Make a list of disjunct cols boundaries for a list of text objects Parameters ---------- tls : list of PDFMiner text object. - min_gap : minimum distance between columns. Any elements closer than this - threshold are merged together. This is to prevent spaces between words - to be misinterpreted as column boundaries. + min_gap : minimum distance between columns. Any elements closer than + this threshold are merged together. This is to prevent spaces between + words to be misinterpreted as boundaries. Returns ------- - cols_anchors : list - List of x-coordinates for columns. + boundaries : list + List x-coordinates for cols. + [(1st col left, 1st col right), (2nd col left, 2nd col right), ...] + """ - # Make a list of disjunct cols boundaries across the textlines - # that comprise the table. - # [(1st col left, 1st col right), (2nd col left, 2nd col right), ...] cols_bounds = [] tls.sort(key=lambda tl: tl.x0) for tl in tls: @@ -588,18 +595,64 @@ def find_columns_coordinates(tls, min_gap=1.0): cols_bounds.append([tl.x0, tl.x1]) else: cols_bounds[-1][1] = max(cols_bounds[-1][1], tl.x1) + return cols_bounds + +def find_rows_boundaries(tls, min_gap=1.0): + """Make a list of disjunct rows boundaries for a list of text objects + + Parameters + ---------- + tls : list of PDFMiner text object. + + min_gap : minimum distance between rows. Any elements closer than + this threshold are merged together. + + Returns + ------- + boundaries : list + List y-coordinates for rows. + [(1st row bottom, 1st row top), (2nd row bottom, 2nd row top), ...] + + """ + rows_bounds = [] + tls.sort(key=lambda tl: tl.y0) + for tl in tls: + if (not rows_bounds) or rows_bounds[-1][1] + min_gap < tl.y0: + rows_bounds.append([tl.y0, tl.y1]) + else: + rows_bounds[-1][1] = max(rows_bounds[-1][1], tl.y1) + return rows_bounds + + +def boundaries_to_split_lines(boundaries): + """Find split lines given a list of boundaries between rows or cols. + + Boundaries: [ a ] [b] [ c ] [d] + Splits: | | | | | + + Parameters + ---------- + boundaries : list + List of tuples of x- (for columns) or y- (for rows) coord boundaries. + These are the (left, right most) or (bottom, top most) coordinates. + + Returns + ------- + anchors : list + List of coordinates representing the split points, each half way + between boundaries + + """ # From the row boundaries, identify splits by getting the mid points # between the boundaries. - # Row boundaries: [ a ] [b] [ c ] - # Splits: | | | | - cols_anchors = list(map( - lambda idx: (cols_bounds[idx-1][1] + cols_bounds[idx][0]) / 2.0, - range(1, len(cols_bounds)) + anchors = list(map( + lambda idx: (boundaries[idx-1][1] + boundaries[idx][0]) / 2.0, + range(1, len(boundaries)) )) - cols_anchors.insert(0, cols_bounds[0][0]) - cols_anchors.append(cols_bounds[-1][1]) - return cols_anchors + anchors.insert(0, boundaries[0][0]) + anchors.append(boundaries[-1][1]) + return anchors def get_index_closest_point(point, sorted_list, fn=lambda x: x): @@ -1129,17 +1182,20 @@ def get_text_objects(layout, ltype="char", t=None): return t -def export_pdf_as_png(pdf_path, destination_path): +def export_pdf_as_png(pdf_path, destination_path, resolution=300): """Generate an image from a pdf. Parameters ---------- pdf_path : str destination_path : str + resolution : int """ - gs_call = "-q -sDEVICE=png16m -o {destination_path} -r300 {pdf_path}"\ + gs_call = "-q -sDEVICE=png16m -o " \ + "{destination_path} -r{resolution} {pdf_path}" \ .format( destination_path=destination_path, + resolution=resolution, pdf_path=pdf_path ) gs_call = gs_call.encode().split() diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb index b95934c..e6baacc 100644 --- a/parser-comparison-notebook.ipynb +++ b/parser-comparison-notebook.ipynb @@ -42,7 +42,9 @@ "from camelot.__version__ import generate_version\n", "from camelot.utils import get_text_objects, text_in_bbox\n", "from camelot.parsers.stream import Stream\n", + "from camelot.parsers.lattice import Lattice\n", "from camelot.parsers.network import Network\n", + "from camelot.parsers.hybrid import Hybrid\n", "from camelot.handlers import PDFHandler\n", "from camelot.plotting import draw_pdf\n", "from tests.data import *\n", @@ -63,12 +65,12 @@ "kwargs = {}\n", "data = None\n", "# pdf_file = \"vertical_header.pdf\"\n", - "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_network_flag_size\n", - "# pdf_file = \"health.pdf\" # test_network\n", + "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", + "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", - "# pdf_file = \"clockwise_table_2.pdf\" # test_network_table_rotated / test_stream_table_rotated\n", - "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_network_table_regions\n", + "# pdf_file = \"clockwise_table_2.pdf\" # test_hybrid_table_rotated / test_stream_table_rotated\n", + "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", "pdf_file = \"vertical_header.pdf\"\n", @@ -90,63 +92,27 @@ "metadata": {}, "outputs": [ { - "output_type": "stream", - "name": "stdout", - "text": "Showing table #0 found by stream:\n" - }, - { - "output_type": "display_data", - "data": { - "text/plain": " 0 1 2 \\\n0 Alcona Abdul El-Sayed\\n15 Shri Thanedar\\n28 \n1 Caledonia 5 15 \n2 Curtis 21 22 \n3 Greenbush 19 35 \n4 Gustin 0 10 \n5 Harrisville 19 20 \n6 Hawes 8 11 \n7 Haynes 11 9 \n8 Mikado 6 4 \n9 Millen 10 8 \n10 Mitchell 5 5 \n11 City Harrisville 13 20 \n12 Totals 132 187 \n\n 3 4 5 6 \\\n0 Gretchen Whitmer\\n80 Debbie Stabenow\\n117 Joe Weir\\n106 \n1 68 85 73 \n2 90 126 112 \n3 93 136 123 \n4 27 32 30 \n5 93 126 109 \n6 46 62 53 \n7 48 66 62 \n8 32 40 35 \n9 36 47 40 \n10 20 28 26 \n11 44 71 60 \n12 677 936 0 829 \n\n 7 8 9 10 11 12 13 14 15 \n0 Lora Greene\\n94 John E. 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    " - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": "Showing table #0 found by network:\n" - }, - { - "output_type": "display_data", - "data": { - "text/plain": " 0 1 2 3 \\\n0 Abdul El-Sayed Shri Thanedar Gretchen Whitmer \n1 Alcona 15 28 80 \n2 Caledonia 5 15 68 \n3 Curtis 21 22 90 \n4 Greenbush 19 35 93 \n5 Gustin 0 10 27 \n6 Harrisville 19 20 93 \n7 Hawes 8 11 46 \n8 Haynes 11 9 48 \n9 Mikado 6 4 32 \n10 Millen 10 8 36 \n11 Mitchell 5 5 20 \n12 City Harrisville 13 20 44 \n13 Totals 132 187 677 \n\n 4 5 6 7 8 9 10 11 \\\n0 Debbie Stabenow Joe Weir Lora Greene John E. Norton, III \n1 117 106 94 17 \n2 85 73 69 10 \n3 126 112 77 31 \n4 136 123 112 18 \n5 32 30 26 10 \n6 126 109 116 6 \n7 62 53 45 7 \n8 66 62 60 8 \n9 40 35 32 7 \n10 47 40 41 3 \n11 28 26 21 6 \n12 71 60 66 5 \n13 936 0 829 759 128 0 0 0 \n\n 12 13 \n0 \n1 \n2 \n3 \n4 \n5 \n6 \n7 \n8 \n9 \n10 \n11 \n12 \n13 0 0 ", - "text/html": "
    \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    012345678910111213
    0Abdul El-SayedShri ThanedarGretchen WhitmerDebbie StabenowJoe WeirLora GreeneJohn E. Norton, III
    1Alcona1528801171069417
    2Caledonia5156885736910
    3Curtis2122901261127731
    4Greenbush19359313612311218
    5Gustin0102732302610
    6Harrisville1920931261091166
    7Hawes811466253457
    8Haynes119486662608
    9Mikado64324035327
    10Millen108364740413
    11Mitchell55202826216
    12City Harrisville1320447160665
    13Totals132187677936082975912800000
    \n
    " - }, - "metadata": {} - }, - { - "output_type": "execute_result", - "data": { - "text/plain": "
    ", - "image/svg+xml": "\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" - }, - "metadata": {}, - "execution_count": 3 + "output_type": "error", + "ename": "NameError", + "evalue": "name 'parsers' is not defined", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msuptitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Side-by-side Flavor Review'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mtables_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflavor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparsers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mtimer_before_parse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mperf_counter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mtables\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcamelot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_pdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflavor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflavor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdebug\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'parsers' is not defined" + ] } ], "source": [ "\n", "# Set up plots to be large enough for visualization\n", - "plt.rcParams[\"figure.figsize\"] = [26, 12]\n", - "fig, axes = plt.subplots(1, 3)\n", + "PARSERS = [\"stream\", \"lattice\", \"network\", \"hybrid\"]\n", + "PLOT_HEIGHT = 12\n", + "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * len(PARSERS), PLOT_HEIGHT]\n", + "fig, axes = plt.subplots(1, len(PARSERS))\n", "fig.suptitle('Side-by-side Flavor Review')\n", "tables_list = []\n", - "for idx, flavor in enumerate([\"stream\", \"lattice\", \"network\"]):\n", + "for idx, flavor in enumerate(PARSERS):\n", " timer_before_parse = time.perf_counter()\n", " tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", " tables_list.append(tables)\n", diff --git a/tests/data.py b/tests/data.py index 6723d01..c32ee28 100755 --- a/tests/data.py +++ b/tests/data.py @@ -2074,6 +2074,502 @@ data_network_vertical_headers = [ ], ] +# Compared to network, hybrid detects additional sparse columns +data_hybrid_vertical_headers = [ + [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "Congress-", + "", + "", + "Senator 36th", + "", + "Rep106th", + "", + "Reg. of", + "", + "Road", + "", + "", + "Distri", + "Dist", + "", + "", + "Dist", + ], + [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "1st Dist", + "Dist.", + "", + "", + "Dist.", + "Deeds", + "", + "Commission", + "", + "District #1", + "", + "ct #2", + "#3", + "Dist #4", + "", + "#5", + ], + [ + "", + "", + "", + "", + "", + "Governor", + "", + "", + "U.S. Senator", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "", + "Number of Registered voters", + "Poll Book Totals", + "Brian Calley", + "Patrick Colbeck", + "Jim Hines", + "Bill Schuette", + "John James", + "Sandy Pensler", + "", + "Jack Bergman", + "", + "Jim Stamas", + "", + "Sue Allor", + "", + "Melissa A. Cordes", + "", + "Al Scully", + "", + "Daniel G. Gauthier", + "Craig M. Clemens", + "Craig Johnston", + "Carolyn Brummund", + "Adam Brege", + "David Bielusiak", + "", + ], + [ + "Alcona", + "963", + "439", + "55", + "26", + "47", + "164", + "173", + "111", + "", + "268", + "", + "272", + "", + "275", + "", + "269", + "", + "271", + "", + "224", + "76", + "", + "", + "", + "", + "", + ], + [ + "Caledonia", + "923", + "393", + "40", + "23", + "45", + "158", + "150", + "103", + "", + "244", + "", + "247", + "", + "254", + "", + "255", + "", + "244", + "", + "139", + "143", + "", + "", + "", + "", + "", + ], + [ + "Curtis", + "1026", + "349", + "30", + "30", + "25", + "102", + "95", + "84", + "", + "159", + "", + "164", + "", + "162", + "", + "161", + "", + "157", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "Greenbush", + "1212", + "423", + "56", + "26", + "40", + "126", + "104", + "131", + "", + "208", + "", + "213", + "", + "214", + "", + "215", + "", + "208", + "", + "", + "", + "", + "208", + "", + "", + "", + ], + [ + "Gustin", + "611", + "180", + "22", + "35", + "17", + "55", + "73", + "45", + "", + "108", + "", + "104", + "", + "111", + "", + "111", + "", + "109", + "", + "", + "", + "", + "", + "81", + "42", + "", + ], + [ + "Harrisville", + "1142", + "430", + "45", + "90", + "29", + "101", + "155", + "94", + "", + "226", + "", + "226", + "", + "232", + "", + "244", + "", + "226", + "", + "", + "", + "232", + "", + "", + "", + "", + ], + [ + "Hawes", + "884", + "293", + "38", + "36", + "27", + "109", + "121", + "84", + "", + "192", + "", + "195", + "", + "195", + "", + "193", + "", + "184", + "", + "", + "", + "", + "", + "118", + "87", + "", + ], + [ + "Haynes", + "626", + "275", + "31", + "20", + "32", + "104", + "121", + "53", + "", + "163", + "", + "163", + "", + "173", + "", + "161", + "", + "152", + "", + "", + "", + "76", + "", + "69", + "31", + "", + ], + [ + "Mikado", + "781", + "208", + "19", + "39", + "17", + "81", + "90", + "63", + "", + "149", + "", + "149", + "", + "145", + "", + "147", + "", + "143", + "", + "", + "", + "", + "113", + "", + "", + "", + ], + [ + "Millen", + "353", + "139", + "7", + "16", + "13", + "38", + "49", + "19", + "", + "62", + "", + "66", + "", + "67", + "", + "66", + "", + "62", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "Mitchell", + "327", + "96", + "12", + "17", + "7", + "29", + "41", + "17", + "", + "57", + "", + "55", + "", + "57", + "", + "60", + "", + "56", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "City Harrisville", + "389", + "171", + "16", + "15", + "18", + "35", + "49", + "31", + "", + "78", + "", + "80", + "", + "82", + "", + "81", + "", + "77", + "", + "", + "", + "73", + "", + "", + "", + "", + ], + [ + "Totals", + "9237", + "3396", + "371", + "373", + "317", + "1102", + "1221", + "835", + "0", + "1914", + "0", + "1934", + "", + "1967", + "", + "1963", + "0", + "1889", + "0", + "363", + "219", + "381", + "321", + "268", + "160", + "0", + ], +] data_stream_table_areas = [ diff --git 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Y8XMVt*g$$8ejkN;Q1d|gzEfBJ4|UQs^Z)<= diff --git a/tests/test_common.py b/tests/test_common.py index c24ec9f..6269ba7 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -285,6 +285,19 @@ def test_network_layout_kwargs(): assert_frame_equal(df, tables[0].df) +# Hybrid parser +def test_hybrid_vertical_header(): + """Tests a complex table with a vertically text header. + """ + df = pd.DataFrame(data_hybrid_vertical_headers) + + filename = os.path.join(testdir, "vertical_header.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + assert len(tables) == 1 + assert_frame_equal(df, tables[0].df) + + +# Lattice parser tests def test_lattice(): df = pd.DataFrame(data_lattice) From 79ea4adcd13e4169f61173825c36b0ca1779b9bf Mon Sep 17 00:00:00 2001 From: Frh Date: Mon, 4 May 2020 17:41:57 -0700 Subject: [PATCH 58/60] Add baseline test for hybrid Fix first split merge issue --- camelot/parsers/hybrid.py | 5 +++++ tests/test_common.py | 7 +++++++ 2 files changed, 12 insertions(+) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index e84dfa8..98d80c4 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -149,6 +149,11 @@ class Hybrid(BaseParser): # Our boundary is fully after the split, move on idx_boundaries = idx_boundaries - 1 previous_boundary = boundary + if idx_boundaries < 0: + # If this is the last boundary to the left, set its + # edge at the split + boundary[0] = split + idx_splits = idx_splits - 1 else: # The split is inside our boundary: split it new_boundary = [split, boundary[1]] diff --git a/tests/test_common.py b/tests/test_common.py index 6269ba7..c321e1d 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -286,6 +286,13 @@ def test_network_layout_kwargs(): # Hybrid parser +def test_hybrid(): + df = pd.DataFrame(data_stream) + + filename = os.path.join(testdir, "health.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + assert_frame_equal(df, tables[0].df) + def test_hybrid_vertical_header(): """Tests a complex table with a vertically text header. """ From ae429fc248d7acf9315e407abbde9f0f36156311 Mon Sep 17 00:00:00 2001 From: Frh Date: Mon, 4 May 2020 18:52:11 -0700 Subject: [PATCH 59/60] Hybrid parser fixes Improve parser comparison notebook to flag identical parses, display multiple tables correctly Fix tolerance parameter inclusion for hybrid. --- camelot/parsers/hybrid.py | 4 +- parser-comparison-notebook.ipynb | 281 ++++++++++++++++++++++++++----- tests/test_common.py | 11 ++ 3 files changed, 250 insertions(+), 46 deletions(-) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index 98d80c4..d6fe13a 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -179,7 +179,9 @@ class Hybrid(BaseParser): self.table_bbox_parses[lattice_bbox] = self.lattice_parser else: network_cols_boundaries = self._augment_boundaries_with_splits( - network_cols_boundaries, lattice_cols) # self.column_tol??? + network_cols_boundaries, + lattice_cols, + self.lattice_parser.joint_tol) augmented_bbox = ( network_cols_boundaries[0][0], network_bbox[1], network_cols_boundaries[-1][1], network_bbox[3], diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb index e6baacc..67e206b 100644 --- a/parser-comparison-notebook.ipynb +++ b/parser-comparison-notebook.ipynb @@ -56,24 +56,32 @@ "camelot.__file__\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Selection of file to review\n", + "\n", + "This is seeded with the unit test files for convenience." + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "kwargs = {}\n", "data = None\n", - "# pdf_file = \"vertical_header.pdf\"\n", "# pdf_file, kwargs, data = \"superscript.pdf\", {\"flag_size\": True}, data_stream_flag_size # test_hybrid_flag_size\n", "# pdf_file = \"health.pdf\" # test_hybrid\n", "# pdf_file = \"clockwise_table_2.pdf\"\n", - "# pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", + "pdf_file = \"tabula/12s0324.pdf\" # interesting because contains two separate tables\n", "# pdf_file = \"clockwise_table_2.pdf\" # test_hybrid_table_rotated / test_stream_table_rotated\n", "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n", "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"} # data_stream_strip_text\n", "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text # data_stream_split_text\n", - "pdf_file = \"vertical_header.pdf\"\n", + "# pdf_file = \"vertical_header.pdf\"\n", "# pdf_file, kwargs = \"vertical_header.pdf\", {\"pages\": \"2\"}\n", "# pdf_file, kwargs = \"PIR_Prospetto.dOfferta.pdf\", {\"pages\": \"6\"}\n", "# pdf_file = \"twotables_2.pdf\"\n", @@ -88,62 +96,245 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "metadata": {}, "outputs": [ { - "output_type": "error", - "ename": "NameError", - "evalue": "name 'parsers' is not defined", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msuptitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Side-by-side Flavor Review'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mtables_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflavor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparsers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mtimer_before_parse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mperf_counter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mtables\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcamelot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_pdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflavor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflavor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdebug\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'parsers' is not defined" - ] + "output_type": "stream", + "name": "stdout", + "text": "Found 2 table(s) via algo stream:\nFlavor stream table 0:\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": " 0 \\\n0 Program. Represents arrests reported (not char... \n1 by the FBI. Some persons may be arrested more ... \n2 could represent multiple arrests of the same p... \n3 \n4 Offense charged \n5 \n6 Total .\\n .\\n . . . . . .\\n . .\\n . .... \n7 Violent crime . . . . . . . .\\n . .\\... \n8 Murder and nonnegligent \n9 manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n10 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... \n11 Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n... \n12 Aggravated assault . . . . . . . .\\n. .\\n. .\\n. \n13 Property crime . . . .\\n . .\\n . . .\\n ... \n14 Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n... \n15 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... \n16 Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n... \n17 Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n... \n18 Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . .... \n19 Forgery and counterfeiting .\\n. . . . . . .\\n. \n20 Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.... \n21 Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . .... \n22 Stolen property 1 . . . . . . .\\n. . .\\n. .\\n... \n23 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... \n24 Weapons; carrying, possessing, etc. . \n25 Prostitution and commercialized vice \n26 Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. .... \n27 Drug abuse violations . . . . . . . .\\n. .\\n.\\n. \n28 Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. .... \n29 Offenses against the family and \n30 children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\... \n31 Driving under the influence . . . . . .\\n. . \n32 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... \n33 Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\... \n34 Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ... \n35 Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. .... \n36 All other offenses (except traffic) . . .\\n. \n37 Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .... \n38 Curfew and loitering law violations .\\n. \n39 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... \n40 \n\n 1 2 3 \\\n0 \n1 \n2 \n3 Total \n4 Under 18 18 years \n5 Total years and over \n6 11,062 .6 1,540 .0 9,522 .6 \n7 467 .9 69 .1 398 .8 \n8 \n9 10.0 0.9 9.1 \n10 17.5 2.6 14.9 \n11 102.1 25.5 76.6 \n12 338.4 40.1 298.3 \n13 1,396 .4 338 .7 1,057 .7 \n14 240.9 60.3 180.6 \n15 1,080.1 258.1 822.0 \n16 65.6 16.0 49.6 \n17 9.8 4.3 5.5 \n18 1,061.3 175.3 886.1 \n19 68.9 1.7 67.2 \n20 173.7 5.1 168.5 \n21 14.6 – 14.1 \n22 84.3 15.1 69.2 \n23 217.4 72.7 144.7 \n24 132.9 27.1 105.8 \n25 56.9 1.1 55.8 \n26 61.5 10.7 50.7 \n27 1,333.0 136.6 1,196.4 \n28 8.2 1.4 6.8 \n29 \n30 92.4 3.7 88.7 \n31 1,158.5 109.2 1,147.5 \n32 48.2 90.2 368.0 \n33 488.1 11.4 476.8 \n34 529.5 136.1 393.3 \n35 26.6 2.2 24.4 \n36 306.1 263.4 2,800.8 \n37 1.6 – 1.4 \n38 91.0 91.0 (X) \n39 75.8 75.8 (X) \n40 – Represents zero. X Not applicable. 1 Buying,... \n\n 4 5 6 7 8 9 \n0 \n1 \n2 \n3 Male Female \n4 Under 18 18 years Under 18 18 years \n5 Total years and over Total years and over \n6 8,263 .3 1,071 .6 7,191 .7 2,799 .2 468 .3 2,330 .9 \n7 380 .2 56 .5 323 .7 87 .7 12 .6 75 .2 \n8 \n9 9.0 0.9 8.1 1.1 – 1.0 \n10 17.2 2.5 14.7 – – – \n11 90.0 22.9 67.1 12.1 2.5 9.5 \n12 264.0 30.2 233.8 74.4 9.9 64.5 \n13 875 .9 210 .8 665 .1 608 .2 127 .9 392 .6 \n14 205.0 53.4 151.7 35.9 6.9 29.0 \n15 608.8 140.5 468.3 471.3 117.6 353.6 \n16 53.9 13.3 40.7 11.7 2.7 8.9 \n17 8.1 3.7 4.4 1.7 0.6 1.1 \n18 785.4 115.4 670.0 276.0 59.9 216.1 \n19 42.9 1.2 41.7 26.0 0.5 25.5 \n20 98.4 3.3 95.0 75.3 1.8 73.5 \n21 7.2 – 6.9 7.4 – 7.2 \n22 66.7 12.2 54.5 17.6 2.8 14.7 \n23 178.1 62.8 115.3 39.3 9.9 29.4 \n24 122.1 24.3 97.8 10.8 2.8 8.0 \n25 17.3 – 17.1 39.6 0.8 38.7 \n26 56.1 9.6 46.5 5.4 1.1 4.3 \n27 1,084.3 115.2 969.1 248.7 21.4 227.3 \n28 7.2 1.4 5.9 0.9 – 0.9 \n29 \n30 68.9 2.4 66.6 23.4 1.3 22.1 \n31 895.8 8.2 887.6 262.7 2.7 260.0 \n32 326.8 55.4 271.4 131.4 34.7 96.6 \n33 406.8 8.5 398.3 81.3 2.9 78.4 \n34 387.1 90.8 296.2 142.4 45.3 97.1 \n35 20.9 1.6 19.3 5.7 0.6 5.1 \n36 2,337.1 194.2 2,142.9 727.0 69.2 657.9 \n37 1.2 – 1.0 – – – \n38 63.1 63.1 (X) 28.0 28.0 (X) \n39 34.0 34.0 (X) 41.8 41.8 (X) \n40 ", + "text/html": "
    \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    0123456789
    0Program. Represents arrests reported (not char...
    1by the FBI. Some persons may be arrested more ...
    2could represent multiple arrests of the same p...
    3TotalMaleFemale
    4Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    5Totalyearsand overTotalyearsand overTotalyearsand over
    6Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    7Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    8Murder and nonnegligent
    9manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    10Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    11Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    12Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    13Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    14Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    15Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    16Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    17Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    18Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    19Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    20Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    21Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    22Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    23Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    24Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    25Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    26Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    27Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    28Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    29Offenses against the family and
    30children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    31Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    32Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    33Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    34Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    35Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    36All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    37Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    38Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    39Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    40– Represents zero. X Not applicable. 1 Buying,...
    \n
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    012345
    0Table 325. Arrests by Race: 2009
    1[Based on Uniform Crime Reporting (UCR) Progra...
    2with a total population of 239,839,971 as esti...
    3American
    4Offense chargedIndian/AlaskanAsian Pacific
    5TotalWhiteBlackNativeIslander
    6Total .\\n .\\n .\\n .\\n . .\\n . . .\\n . . ...10,690,5617,389,2083,027,153150,544123,656
    7Violent crime . . . . . . . .\\n . .\\...456,965268,346177,7665,6085,245
    8Murder and nonnegligent manslaughter . .\\n. .\\...9,7394,7414,80110097
    9Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...16,36210,6445,319169230
    10Robbery . . . . .\\n. . . . .\\n.\\n. . .\\n.\\n. ....100,49643,03955,742726989
    11Aggravated assault . . . . . . . .\\n. .\\n. .\\...330,368209,922111,9044,6133,929
    12Property crime . . . . .\\n . . . . .\\...1,364,409922,139406,38217,59918,289
    13Burglary . . .\\n. . . . .\\n. . .\\n.\\n.\\n. .\\n....234,551155,99474,4192,0212,117
    14Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,056,473719,983306,62514,64615,219
    15Motor vehicle theft . . . . . .\\n. .\\n.\\n. . ....63,91939,07723,184817841
    16Arson .\\n. . . .\\n. .\\n. .\\n. .\\n.\\n. .\\n.\\n.\\...9,4667,0852,154115112
    17Other assaults .\\n. . . . . . .\\n.\\n. . .\\n.\\n...1,032,502672,865332,43515,12712,075
    18Forgery and counterfeiting .\\n. . . . . . .\\n....67,05444,73021,251345728
    19Fraud .\\n.\\n. . . . . .\\n. .\\n. .\\n. .\\n. .\\n....161,233108,03250,3671,3151,519
    20Embezzlement . . . .\\n. . . . .\\n.\\n. . .\\n.\\n...13,9609,2084,42975248
    21Stolen property; buying, receiving, possessing...82,71451,95329,357662742
    22Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....212,173157,72348,7463,3522,352
    23Weapons—carrying, possessing, etc. .\\n. .\\n. ....130,50374,94253,4419511,169
    24Prostitution and commercialized vice . .\\n.\\n...56,56031,69923,0214271,413
    25Sex offenses 1 . . . . . . . .\\n. .\\n. .\\n. .\\...60,17544,24014,347715873
    26Drug abuse violations . . . . . . . .\\n. . .\\...1,301,629845,974437,6238,5889,444
    27Gambling . . . . .\\n. . . . .\\n.\\n. . .\\n.\\n. ...8,0462,2905,51827211
    28Offenses against the family and children .\\n.\\...87,23258,06826,8501,690624
    29Driving under the influence . . . . . . .\\n. ....1,105,401954,444121,59414,90314,460
    30Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....444,087373,18950,43114,8765,591
    31Drunkenness . .\\n. . . . . . .\\n.\\n. . .\\n.\\n....469,958387,54271,0208,5522,844
    32Disorderly conduct . . .\\n. . . . . .\\n. .\\n. ...515,689326,563176,1698,7834,174
    33Vagrancy . . .\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n...26,34714,58111,031543192
    34All other offenses (except traffic) . .\\n. .\\n...2,929,2171,937,221911,67043,88036,446
    35Suspicion . . .\\n. . . . .\\n. .\\n. .\\n. .\\n. ....1,51367782817
    36Curfew and loitering law violations . .\\n. .\\...89,57854,43933,2078721,060
    37Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...73,61648,34319,6701,6533,950
    381 Except forcible rape and prostitution.
    \n
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    1Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    2Totalyearsand overTotalyearsand overTotalyearsand over
    3Total .\\n .\\n . . . . . .\\n . .\\n . ....11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    4Violent crime . . . . . . . .\\n . .\\...467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    5Murder and nonnegligent
    6manslaughter . . . . . . . .\\n. .\\n. .\\n. .\\n....10.00.99.19.00.98.11.1–1.0
    7Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...17.52.614.917.22.514.7–––
    8Robbery . . . .\\n. .\\n. . .\\n. . .\\n.\\n. . .\\n...102.125.576.690.022.967.112.12.59.5
    9Aggravated assault . . . . . . . .\\n. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    10Property crime . . . .\\n . .\\n . . .\\n ...1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    11Burglary . .\\n. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n...240.960.3180.6205.053.4151.735.96.929.0
    12Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    13Motor vehicle theft . . . . .\\n. .\\n. . .\\n.\\n...65.616.049.653.913.340.711.72.78.9
    14Arson .\\n. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n...9.84.35.58.13.74.41.70.61.1
    15Other assaults .\\n. . . . . .\\n. . .\\n.\\n. . ....1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    16Forgery and counterfeiting .\\n. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    17Fraud .\\n.\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n....173.75.1168.598.43.395.075.31.873.5
    18Embezzlement . . .\\n. . . . .\\n. . .\\n.\\n. . ....14.6–14.17.2–6.97.4–7.2
    19Stolen property 1 . . . . . . .\\n. . .\\n. .\\n...84.315.169.266.712.254.517.62.814.7
    20Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....217.472.7144.7178.162.8115.339.39.929.4
    21Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    22Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    23Sex offenses 2 . . . . .\\n. . . . .\\n. .\\n. ....61.510.750.756.19.646.55.41.14.3
    24Drug abuse violations . . . . . . . .\\n. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    25Gambling .\\n. . . . . .\\n. .\\n.\\n. . .\\n.\\n. ....8.21.46.87.21.45.90.9–0.9
    26Offenses against the family and
    27children . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. .\\...92.43.788.768.92.466.623.41.322.1
    28Driving under the influence . . . . . .\\n. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    29Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....48.290.2368.0326.855.4271.4131.434.796.6
    30Drunkenness . . .\\n. . . . .\\n. . .\\n.\\n. . .\\...488.111.4476.8406.88.5398.381.32.978.4
    31Disorderly conduct . .\\n. . . . . . .\\n. .\\n. ...529.5136.1393.3387.190.8296.2142.445.397.1
    32Vagrancy . . . .\\n. . . . .\\n.\\n. .\\n.\\n.\\n. ....26.62.224.420.91.619.35.70.65.1
    33All other offenses (except traffic) . . .\\n.306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    34Suspicion . . . .\\n. . . .\\n. .\\n. .\\n. .\\n. ....1.6–1.41.2–1.0–––
    35Curfew and loitering law violations .\\n.91.091.0(X)63.163.1(X)28.028.0(X)
    36Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...75.875.8(X)34.034.0(X)41.841.8(X)
    \n
    " + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": "After Flavor network table 0:\nFlavor network table 1:\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": " 0 1 2 \\\n0 \n1 Offense charged \n2 Total White \n3 Total .\\n .\\n .\\n .\\n . .\\n . . .\\n . . ... 10,690,561 7,389,208 \n4 Violent crime . . . . . . . .\\n . .\\... 456,965 268,346 \n5 Murder and nonnegligent manslaughter . .\\n. .\\... 9,739 4,741 \n6 Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n... 16,362 10,644 \n7 Robbery . . . . .\\n. . . . .\\n.\\n. . .\\n.\\n. .... 100,496 43,039 \n8 Aggravated assault . . . . . . . .\\n. .\\n. .\\... 330,368 209,922 \n9 Property crime . . . . .\\n . . . . .\\... 1,364,409 922,139 \n10 Burglary . . .\\n. . . . .\\n. . .\\n.\\n.\\n. .\\n.... 234,551 155,994 \n11 Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n... 1,056,473 719,983 \n12 Motor vehicle theft . . . . . .\\n. .\\n.\\n. . .... 63,919 39,077 \n13 Arson .\\n. . . .\\n. .\\n. .\\n. .\\n.\\n. .\\n.\\n.\\... 9,466 7,085 \n14 Other assaults .\\n. . . . . . .\\n.\\n. . .\\n.\\n... 1,032,502 672,865 \n15 Forgery and counterfeiting .\\n. . . . . . .\\n.... 67,054 44,730 \n16 Fraud .\\n.\\n. . . . . .\\n. .\\n. .\\n. .\\n. .\\n.... 161,233 108,032 \n17 Embezzlement . . . .\\n. . . . .\\n.\\n. . .\\n.\\n... 13,960 9,208 \n18 Stolen property; buying, receiving, possessing... 82,714 51,953 \n19 Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. .... 212,173 157,723 \n20 Weapons—carrying, possessing, etc. .\\n. .\\n. .... 130,503 74,942 \n21 Prostitution and commercialized vice . .\\n.\\n... 56,560 31,699 \n22 Sex offenses 1 . . . . . . . .\\n. .\\n. .\\n. .\\... 60,175 44,240 \n23 Drug abuse violations . . . . . . . .\\n. . .\\... 1,301,629 845,974 \n24 Gambling . . . . .\\n. . . . .\\n.\\n. . .\\n.\\n. ... 8,046 2,290 \n25 Offenses against the family and children .\\n.\\... 87,232 58,068 \n26 Driving under the influence . . . . . . .\\n. .... 1,105,401 954,444 \n27 Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n.... 444,087 373,189 \n28 Drunkenness . .\\n. . . . . . .\\n.\\n. . .\\n.\\n.... 469,958 387,542 \n29 Disorderly conduct . . .\\n. . . . . .\\n. .\\n. ... 515,689 326,563 \n30 Vagrancy . . .\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n... 26,347 14,581 \n31 All other offenses (except traffic) . .\\n. .\\n... 2,929,217 1,937,221 \n32 Suspicion . . .\\n. . . . .\\n. .\\n. .\\n. .\\n. .... 1,513 677 \n33 Curfew and loitering law violations . .\\n. .\\... 89,578 54,439 \n34 Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\... 73,616 48,343 \n\n 3 4 5 \n0 American \n1 Indian/Alaskan Asian Pacific \n2 Black Native Islander \n3 3,027,153 150,544 123,656 \n4 177,766 5,608 5,245 \n5 4,801 100 97 \n6 5,319 169 230 \n7 55,742 726 989 \n8 111,904 4,613 3,929 \n9 406,382 17,599 18,289 \n10 74,419 2,021 2,117 \n11 306,625 14,646 15,219 \n12 23,184 817 841 \n13 2,154 115 112 \n14 332,435 15,127 12,075 \n15 21,251 345 728 \n16 50,367 1,315 1,519 \n17 4,429 75 248 \n18 29,357 662 742 \n19 48,746 3,352 2,352 \n20 53,441 951 1,169 \n21 23,021 427 1,413 \n22 14,347 715 873 \n23 437,623 8,588 9,444 \n24 5,518 27 211 \n25 26,850 1,690 624 \n26 121,594 14,903 14,460 \n27 50,431 14,876 5,591 \n28 71,020 8,552 2,844 \n29 176,169 8,783 4,174 \n30 11,031 543 192 \n31 911,670 43,880 36,446 \n32 828 1 7 \n33 33,207 872 1,060 \n34 19,670 1,653 3,950 ", + "text/html": "
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    012345
    0American
    1Offense chargedIndian/AlaskanAsian Pacific
    2TotalWhiteBlackNativeIslander
    3Total .\\n .\\n .\\n .\\n . .\\n . . .\\n . . ...10,690,5617,389,2083,027,153150,544123,656
    4Violent crime . . . . . . . .\\n . .\\...456,965268,346177,7665,6085,245
    5Murder and nonnegligent manslaughter . .\\n. .\\...9,7394,7414,80110097
    6Forcible rape . . . . . . . .\\n. .\\n. .\\n. .\\n...16,36210,6445,319169230
    7Robbery . . . . .\\n. . . . .\\n.\\n. . .\\n.\\n. ....100,49643,03955,742726989
    8Aggravated assault . . . . . . . .\\n. .\\n. .\\...330,368209,922111,9044,6133,929
    9Property crime . . . . .\\n . . . . .\\...1,364,409922,139406,38217,59918,289
    10Burglary . . .\\n. . . . .\\n. . .\\n.\\n.\\n. .\\n....234,551155,99474,4192,0212,117
    11Larceny-theft . . . . . . . .\\n. .\\n. .\\n. .\\n...1,056,473719,983306,62514,64615,219
    12Motor vehicle theft . . . . . .\\n. .\\n.\\n. . ....63,91939,07723,184817841
    13Arson .\\n. . . .\\n. .\\n. .\\n. .\\n.\\n. .\\n.\\n.\\...9,4667,0852,154115112
    14Other assaults .\\n. . . . . . .\\n.\\n. . .\\n.\\n...1,032,502672,865332,43515,12712,075
    15Forgery and counterfeiting .\\n. . . . . . .\\n....67,05444,73021,251345728
    16Fraud .\\n.\\n. . . . . .\\n. .\\n. .\\n. .\\n. .\\n....161,233108,03250,3671,3151,519
    17Embezzlement . . . .\\n. . . . .\\n.\\n. . .\\n.\\n...13,9609,2084,42975248
    18Stolen property; buying, receiving, possessing...82,71451,95329,357662742
    19Vandalism . . . . . . . .\\n. .\\n. .\\n. .\\n. ....212,173157,72348,7463,3522,352
    20Weapons—carrying, possessing, etc. .\\n. .\\n. ....130,50374,94253,4419511,169
    21Prostitution and commercialized vice . .\\n.\\n...56,56031,69923,0214271,413
    22Sex offenses 1 . . . . . . . .\\n. .\\n. .\\n. .\\...60,17544,24014,347715873
    23Drug abuse violations . . . . . . . .\\n. . .\\...1,301,629845,974437,6238,5889,444
    24Gambling . . . . .\\n. . . . .\\n.\\n. . .\\n.\\n. ...8,0462,2905,51827211
    25Offenses against the family and children .\\n.\\...87,23258,06826,8501,690624
    26Driving under the influence . . . . . . .\\n. ....1,105,401954,444121,59414,90314,460
    27Liquor laws . . . . . . . .\\n. .\\n. .\\n. .\\n....444,087373,18950,43114,8765,591
    28Drunkenness . .\\n. . . . . . .\\n.\\n. . .\\n.\\n....469,958387,54271,0208,5522,844
    29Disorderly conduct . . .\\n. . . . . .\\n. .\\n. ...515,689326,563176,1698,7834,174
    30Vagrancy . . .\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n...26,34714,58111,031543192
    31All other offenses (except traffic) . .\\n. .\\n...2,929,2171,937,221911,67043,88036,446
    32Suspicion . . .\\n. . . . .\\n. .\\n. .\\n. .\\n. ....1,51367782817
    33Curfew and loitering law violations . .\\n. .\\...89,57854,43933,2078721,060
    34Runaways . . . . . . . .\\n. .\\n. .\\n. .\\n. .\\...73,61648,34319,6701,6533,950
    \n
    " + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": "After Flavor network table 1:\nFound 2 table(s) via algo hybrid:\nFlavor hybrid table 0:\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": " 0 \\\n0 \n1 \n2 \n3 Total . \n4 Violent crime . . . . . . . . \n5 Murder and nonnegligent \n6 manslaughter . . . . . . . . \n7 Forcible rape . . . . . . . . \n8 Robbery . . . . \n9 Aggravated assault . . . . . . . . \n10 Property crime . . . . \n11 Burglary . . \n12 Larceny-theft . . . . . . . . \n13 Motor vehicle theft . . . . . \n14 Arson . \n15 Other assaults . \n16 Forgery and counterfeiting . \n17 Fraud . \n18 Embezzlement . . . \n19 Stolen property 1 . . . . . . . \n20 Vandalism . . . . . . . . \n21 Weapons; carrying, possessing, etc. . \n22 Prostitution and commercialized vice \n23 Sex offenses 2 . . . . . \n24 Drug abuse violations . . . . . . . . \n25 Gambling . \n26 Offenses against the family and \n27 children . . . . \n28 Driving under the influence . . . . . . \n29 Liquor laws . . . . . . . . \n30 Drunkenness . . . \n31 Disorderly conduct . . \n32 Vagrancy . . . . \n33 All other offenses (except traffic) . . . \n34 Suspicion . . . . \n35 Curfew and loitering law violations . \n36 Runaways . . . . . . . . \n\n 1 2 3 \\\n0 Total \n1 Offense charged Under 18 \n2 Total years \n3 .\\n . . . . . .\\n . .\\n . .\\n . .\\n . ... 11,062 .6 1,540 .0 \n4 . .\\n . .\\n . .\\n . .\\n . . 467 .9 69 .1 \n5 \n6 . .\\n. .\\n. .\\n. .\\n. 10.0 0.9 \n7 . .\\n. .\\n. .\\n. .\\n. . 17.5 2.6 \n8 . .\\n. . .\\n. . .\\n.\\n. . .\\n.\\n. . .\\n.\\n. 102.1 25.5 \n9 . .\\n. .\\n. 338.4 40.1 \n10 . .\\n . . .\\n . . .\\n .\\n . . . . 1,396 .4 338 .7 \n11 . . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. .\\n. 240.9 60.3 \n12 . .\\n. .\\n. .\\n. .\\n. . 1,080.1 258.1 \n13 . .\\n. . .\\n.\\n.\\n. . 65.6 16.0 \n14 . . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. .... 9.8 4.3 \n15 . . . . . .\\n. . .\\n.\\n. . .\\n.\\n. .\\n. 1,061.3 175.3 \n16 . . . . . . .\\n. 68.9 1.7 \n17 .\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\... 173.7 5.1 \n18 . . . . .\\n. . .\\n.\\n. . .\\n.\\n.\\n. 14.6 – \n19 . . .\\n. .\\n. .\\n.\\n. 84.3 15.1 \n20 . .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n. 217.4 72.7 \n21 132.9 27.1 \n22 56.9 1.1 \n23 . . . . .\\n. .\\n. .\\n. . .\\n. 61.5 10.7 \n24 . .\\n.\\n. 1,333.0 136.6 \n25 . . . . . .\\n. .\\n.\\n. . .\\n.\\n. . .\\n.\\n. .\\n... 8.2 1.4 \n26 \n27 . . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. . .\\n. 92.4 3.7 \n28 . . 1,158.5 109.2 \n29 . .\\n. .\\n. .\\n. .\\n. .\\n. . 48.2 90.2 \n30 . . . . .\\n. . .\\n.\\n. . .\\n.\\n. .\\n. 488.1 11.4 \n31 . . . . . . .\\n. .\\n. .\\n. . 529.5 136.1 \n32 . . . . .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. .\\n.\\n. 26.6 2.2 \n33 . 306.1 263.4 \n34 . . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. . .\\n. 1.6 – \n35 . 91.0 91.0 \n36 . .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n. 75.8 75.8 \n\n 4 5 6 7 8 9 10 \n0 Male Female \n1 18 years Under 18 18 years Under 18 18 years \n2 and over Total years and over Total years and over \n3 9,522 .6 8,263 .3 1,071 .6 7,191 .7 2,799 .2 468 .3 2,330 .9 \n4 398 .8 380 .2 56 .5 323 .7 87 .7 12 .6 75 .2 \n5 \n6 9.1 9.0 0.9 8.1 1.1 – 1.0 \n7 14.9 17.2 2.5 14.7 – – – \n8 76.6 90.0 22.9 67.1 12.1 2.5 9.5 \n9 298.3 264.0 30.2 233.8 74.4 9.9 64.5 \n10 1,057 .7 875 .9 210 .8 665 .1 608 .2 127 .9 392 .6 \n11 180.6 205.0 53.4 151.7 35.9 6.9 29.0 \n12 822.0 608.8 140.5 468.3 471.3 117.6 353.6 \n13 49.6 53.9 13.3 40.7 11.7 2.7 8.9 \n14 5.5 8.1 3.7 4.4 1.7 0.6 1.1 \n15 886.1 785.4 115.4 670.0 276.0 59.9 216.1 \n16 67.2 42.9 1.2 41.7 26.0 0.5 25.5 \n17 168.5 98.4 3.3 95.0 75.3 1.8 73.5 \n18 14.1 7.2 – 6.9 7.4 – 7.2 \n19 69.2 66.7 12.2 54.5 17.6 2.8 14.7 \n20 144.7 178.1 62.8 115.3 39.3 9.9 29.4 \n21 105.8 122.1 24.3 97.8 10.8 2.8 8.0 \n22 55.8 17.3 – 17.1 39.6 0.8 38.7 \n23 50.7 56.1 9.6 46.5 5.4 1.1 4.3 \n24 1,196.4 1,084.3 115.2 969.1 248.7 21.4 227.3 \n25 6.8 7.2 1.4 5.9 0.9 – 0.9 \n26 \n27 88.7 68.9 2.4 66.6 23.4 1.3 22.1 \n28 1,147.5 895.8 8.2 887.6 262.7 2.7 260.0 \n29 368.0 326.8 55.4 271.4 131.4 34.7 96.6 \n30 476.8 406.8 8.5 398.3 81.3 2.9 78.4 \n31 393.3 387.1 90.8 296.2 142.4 45.3 97.1 \n32 24.4 20.9 1.6 19.3 5.7 0.6 5.1 \n33 2,800.8 2,337.1 194.2 2,142.9 727.0 69.2 657.9 \n34 1.4 1.2 – 1.0 – – – \n35 (X) 63.1 63.1 (X) 28.0 28.0 (X) \n36 (X) 34.0 34.0 (X) 41.8 41.8 (X) ", + "text/html": "
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    012345678910
    0TotalMaleFemale
    1Offense chargedUnder 1818 yearsUnder 1818 yearsUnder 1818 years
    2Totalyearsand overTotalyearsand overTotalyearsand over
    3Total ..\\n . . . . . .\\n . .\\n . .\\n . .\\n . ...11,062 .61,540 .09,522 .68,263 .31,071 .67,191 .72,799 .2468 .32,330 .9
    4Violent crime . . . . . . . .. .\\n . .\\n . .\\n . .\\n . .467 .969 .1398 .8380 .256 .5323 .787 .712 .675 .2
    5Murder and nonnegligent
    6manslaughter . . . . . . . .. .\\n. .\\n. .\\n. .\\n.10.00.99.19.00.98.11.1–1.0
    7Forcible rape . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .17.52.614.917.22.514.7–––
    8Robbery . . . .. .\\n. . .\\n. . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.102.125.576.690.022.967.112.12.59.5
    9Aggravated assault . . . . . . . .. .\\n. .\\n.338.440.1298.3264.030.2233.874.49.964.5
    10Property crime . . . .. .\\n . . .\\n . . .\\n .\\n . . . .1,396 .4338 .71,057 .7875 .9210 .8665 .1608 .2127 .9392 .6
    11Burglary . .. . . . . .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. .\\n.240.960.3180.6205.053.4151.735.96.929.0
    12Larceny-theft . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .1,080.1258.1822.0608.8140.5468.3471.3117.6353.6
    13Motor vehicle theft . . . . .. .\\n. . .\\n.\\n.\\n. .65.616.049.653.913.340.711.72.78.9
    14Arson .. . . . .\\n. . .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. ....9.84.35.58.13.74.41.70.61.1
    15Other assaults .. . . . . .\\n. . .\\n.\\n. . .\\n.\\n. .\\n.1,061.3175.3886.1785.4115.4670.0276.059.9216.1
    16Forgery and counterfeiting .. . . . . . .\\n.68.91.767.242.91.241.726.00.525.5
    17Fraud ..\\n.\\n. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\...173.75.1168.598.43.395.075.31.873.5
    18Embezzlement . . .. . . . .\\n. . .\\n.\\n. . .\\n.\\n.\\n.14.6–14.17.2–6.97.4–7.2
    19Stolen property 1 . . . . . . .. . .\\n. .\\n. .\\n.\\n.84.315.169.266.712.254.517.62.814.7
    20Vandalism . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n.217.472.7144.7178.162.8115.339.39.929.4
    21Weapons; carrying, possessing, etc. .132.927.1105.8122.124.397.810.82.88.0
    22Prostitution and commercialized vice56.91.155.817.3–17.139.60.838.7
    23Sex offenses 2 . . . . .. . . . .\\n. .\\n. .\\n. . .\\n.61.510.750.756.19.646.55.41.14.3
    24Drug abuse violations . . . . . . . .. .\\n.\\n.1,333.0136.61,196.41,084.3115.2969.1248.721.4227.3
    25Gambling .. . . . . .\\n. .\\n.\\n. . .\\n.\\n. . .\\n.\\n. .\\n...8.21.46.87.21.45.90.9–0.9
    26Offenses against the family and
    27children . . . .. . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. . .\\n.92.43.788.768.92.466.623.41.322.1
    28Driving under the influence . . . . . .. .1,158.5109.21,147.5895.88.2887.6262.72.7260.0
    29Liquor laws . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .\\n. .48.290.2368.0326.855.4271.4131.434.796.6
    30Drunkenness . . .. . . . .\\n. . .\\n.\\n. . .\\n.\\n. .\\n.488.111.4476.8406.88.5398.381.32.978.4
    31Disorderly conduct . .. . . . . . .\\n. .\\n. .\\n. .529.5136.1393.3387.190.8296.2142.445.397.1
    32Vagrancy . . . .. . . . .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.26.62.224.420.91.619.35.70.65.1
    33All other offenses (except traffic) . . ..306.1263.42,800.82,337.1194.22,142.9727.069.2657.9
    34Suspicion . . . .. . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. . .\\n.1.6–1.41.2–1.0–––
    35Curfew and loitering law violations ..91.091.0(X)63.163.1(X)28.028.0(X)
    36Runaways . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n.75.875.8(X)34.034.0(X)41.841.8(X)
    \n
    " + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": "After Flavor hybrid table 0:\nFlavor hybrid table 1:\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": " 0 \\\n0 \n1 \n2 \n3 Total . \n4 Violent crime . . . . . . . . \n5 Murder and nonnegligent manslaughter . . \n6 Forcible rape . . . . . . . . \n7 Robbery . . . . . \n8 Aggravated assault . . . . . . . . \n9 Property crime . . . . . \n10 Burglary . . . \n11 Larceny-theft . . . . . . . . \n12 Motor vehicle theft . . . . . . \n13 Arson . \n14 Other assaults . \n15 Forgery and counterfeiting . \n16 Fraud . \n17 Embezzlement . . . . \n18 Stolen property; buying, receiving, possessing . \n19 Vandalism . . . . . . . . \n20 Weapons—carrying, possessing, etc. . \n21 Prostitution and commercialized vice . . \n22 Sex offenses 1 . . . . . . . . \n23 Drug abuse violations . . . . . . . . \n24 Gambling . . . . . \n25 Offenses against the family and children . \n26 Driving under the influence . . . . . . . \n27 Liquor laws . . . . . . . . \n28 Drunkenness . . \n29 Disorderly conduct . . . \n30 Vagrancy . . . \n31 All other offenses (except traffic) . . \n32 Suspicion . . . \n33 Curfew and loitering law violations . . \n34 Runaways . . . . . . . . \n\n 1 2 3 \\\n0 \n1 Offense charged \n2 Total White \n3 .\\n .\\n .\\n . .\\n . . .\\n . . .\\n .\\n . ... 10,690,561 7,389,208 \n4 . .\\n . .\\n . .\\n . .\\n .\\n .\\n . .\\n . ... 456,965 268,346 \n5 . .\\n.\\n. . 9,739 4,741 \n6 . .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n.... 16,362 10,644 \n7 . . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.\\n. .\\n.\\n.... 100,496 43,039 \n8 . .\\n. .\\n.\\n.\\n.\\n.\\n. .\\n. .\\n.\\n.\\n. 330,368 209,922 \n9 . . . . .\\n .\\n . . .\\n .\\n . .\\n .\\n .... 1,364,409 922,139 \n10 . . . . .\\n. . .\\n.\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n... 234,551 155,994 \n11 . .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n.... 1,056,473 719,983 \n12 . .\\n.\\n. . .\\n.\\n. .\\n.\\n.\\n.\\n. .\\n.\\n. .\\n. 63,919 39,077 \n13 . . . .\\n. .\\n. .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n... 9,466 7,085 \n14 . . . . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n. .\\n.\\n... 1,032,502 672,865 \n15 . . . . . . .\\n.\\n. .\\n.\\n.\\n.\\n. .\\n. .\\n. 67,054 44,730 \n16 .\\n. . . . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n... 161,233 108,032 \n17 . . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.\\n. .\\n.\\n.... 13,960 9,208 \n18 . . 82,714 51,953 \n19 . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n... 212,173 157,723 \n20 . .\\n. .\\n.\\n. .\\n. . 130,503 74,942 \n21 .\\n. .\\n. .\\n. .\\n. 56,560 31,699 \n22 . .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n.... 60,175 44,240 \n23 . . .\\n.\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n. 1,301,629 845,974 \n24 . . . . .\\n.\\n. . .\\n.\\n. . .\\n. .\\n.\\n. . .\\n... 8,046 2,290 \n25 .\\n. .\\n. .\\n. . 87,232 58,068 \n26 . .\\n.\\n. .\\n.\\n.\\n.\\n.\\n. . 1,105,401 954,444 \n27 . .\\n. .\\n. .\\n. .\\n. . .\\n.\\n.\\n.\\n. .\\n. .\\n... 444,087 373,189 \n28 . . . . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.\\n.\\n. ... 469,958 387,542 \n29 . . . . . .\\n. .\\n. . .\\n.\\n.\\n.\\n. .\\n. .\\n.\\... 515,689 326,563 \n30 . .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. ... 26,347 14,581 \n31 . .\\n. .\\n. .\\n.\\n.\\n.\\n. .\\n. 2,929,217 1,937,221 \n32 . . . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n... 1,513 677 \n33 . .\\n.\\n. .\\n. .\\n.\\n.\\n. 89,578 54,439 \n34 . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n... 73,616 48,343 \n\n 4 5 6 \n0 American \n1 Indian/Alaskan Asian Pacific \n2 Black Native Islander \n3 3,027,153 150,544 123,656 \n4 177,766 5,608 5,245 \n5 4,801 100 97 \n6 5,319 169 230 \n7 55,742 726 989 \n8 111,904 4,613 3,929 \n9 406,382 17,599 18,289 \n10 74,419 2,021 2,117 \n11 306,625 14,646 15,219 \n12 23,184 817 841 \n13 2,154 115 112 \n14 332,435 15,127 12,075 \n15 21,251 345 728 \n16 50,367 1,315 1,519 \n17 4,429 75 248 \n18 29,357 662 742 \n19 48,746 3,352 2,352 \n20 53,441 951 1,169 \n21 23,021 427 1,413 \n22 14,347 715 873 \n23 437,623 8,588 9,444 \n24 5,518 27 211 \n25 26,850 1,690 624 \n26 121,594 14,903 14,460 \n27 50,431 14,876 5,591 \n28 71,020 8,552 2,844 \n29 176,169 8,783 4,174 \n30 11,031 543 192 \n31 911,670 43,880 36,446 \n32 828 1 7 \n33 33,207 872 1,060 \n34 19,670 1,653 3,950 ", + "text/html": "
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    1Offense chargedIndian/AlaskanAsian Pacific
    2TotalWhiteBlackNativeIslander
    3Total ..\\n .\\n .\\n . .\\n . . .\\n . . .\\n .\\n . ...10,690,5617,389,2083,027,153150,544123,656
    4Violent crime . . . . . . . .. .\\n . .\\n . .\\n . .\\n .\\n .\\n . .\\n . ...456,965268,346177,7665,6085,245
    5Murder and nonnegligent manslaughter . .. .\\n.\\n. .9,7394,7414,80110097
    6Forcible rape . . . . . . . .. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n....16,36210,6445,319169230
    7Robbery . . . . .. . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.\\n. .\\n.\\n....100,49643,03955,742726989
    8Aggravated assault . . . . . . . .. .\\n. .\\n.\\n.\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.330,368209,922111,9044,6133,929
    9Property crime . . . . .. . . . .\\n .\\n . . .\\n .\\n . .\\n .\\n ....1,364,409922,139406,38217,59918,289
    10Burglary . . .. . . . .\\n. . .\\n.\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n...234,551155,99474,4192,0212,117
    11Larceny-theft . . . . . . . .. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n....1,056,473719,983306,62514,64615,219
    12Motor vehicle theft . . . . . .. .\\n.\\n. . .\\n.\\n. .\\n.\\n.\\n.\\n. .\\n.\\n. .\\n.63,91939,07723,184817841
    13Arson .. . . .\\n. .\\n. .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n...9,4667,0852,154115112
    14Other assaults .. . . . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n. .\\n.\\n...1,032,502672,865332,43515,12712,075
    15Forgery and counterfeiting .. . . . . . .\\n.\\n. .\\n.\\n.\\n.\\n. .\\n. .\\n.67,05444,73021,251345728
    16Fraud ..\\n. . . . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n...161,233108,03250,3671,3151,519
    17Embezzlement . . . .. . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.\\n. .\\n.\\n....13,9609,2084,42975248
    18Stolen property; buying, receiving, possessing .. .82,71451,95329,357662742
    19Vandalism . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n...212,173157,72348,7463,3522,352
    20Weapons—carrying, possessing, etc. .. .\\n. .\\n.\\n. .\\n. .130,50374,94253,4419511,169
    21Prostitution and commercialized vice . ..\\n. .\\n. .\\n. .\\n.56,56031,69923,0214271,413
    22Sex offenses 1 . . . . . . . .. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n....60,17544,24014,347715873
    23Drug abuse violations . . . . . . . .. . .\\n.\\n.\\n.\\n. .\\n. .\\n.\\n.\\n.\\n.1,301,629845,974437,6238,5889,444
    24Gambling . . . . .. . . . .\\n.\\n. . .\\n.\\n. . .\\n. .\\n.\\n. . .\\n...8,0462,2905,51827211
    25Offenses against the family and children ..\\n. .\\n. .\\n. .87,23258,06826,8501,690624
    26Driving under the influence . . . . . . .. .\\n.\\n. .\\n.\\n.\\n.\\n.\\n. .1,105,401954,444121,59414,90314,460
    27Liquor laws . . . . . . . .. .\\n. .\\n. .\\n. .\\n. . .\\n.\\n.\\n.\\n. .\\n. .\\n...444,087373,18950,43114,8765,591
    28Drunkenness . .. . . . . . .\\n.\\n. . .\\n.\\n. . .\\n.\\n.\\n.\\n. ...469,958387,54271,0208,5522,844
    29Disorderly conduct . . .. . . . . .\\n. .\\n. . .\\n.\\n.\\n.\\n. .\\n. .\\n.\\...515,689326,563176,1698,7834,174
    30Vagrancy . . .. .\\n. . . .\\n. .\\n.\\n. .\\n.\\n.\\n. .\\n.\\n.\\n. ...26,34714,58111,031543192
    31All other offenses (except traffic) . .. .\\n. .\\n. .\\n.\\n.\\n.\\n. .\\n.2,929,2171,937,221911,67043,88036,446
    32Suspicion . . .. . . . .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n...1,51367782817
    33Curfew and loitering law violations . .. .\\n.\\n. .\\n. .\\n.\\n.\\n.89,57854,43933,2078721,060
    34Runaways . . . . . . . .. .\\n. .\\n. .\\n. .\\n. .\\n. .\\n.\\n.\\n. .\\n. .\\n...73,61648,34319,6701,6533,950
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" + }, + "metadata": {}, + "execution_count": 7 } ], "source": [ - "\n", - "# Set up plots to be large enough for visualization\n", - "PARSERS = [\"stream\", \"lattice\", \"network\", \"hybrid\"]\n", - "PLOT_HEIGHT = 12\n", - "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * len(PARSERS), PLOT_HEIGHT]\n", - "fig, axes = plt.subplots(1, len(PARSERS))\n", - "fig.suptitle('Side-by-side Flavor Review')\n", - "tables_list = []\n", - "for idx, flavor in enumerate(PARSERS):\n", + "FLAVORS = [\"stream\", \"lattice\", \"network\", \"hybrid\"]\n", + "tables_parsed = {}\n", + "parses = {}\n", + "max_tables = 0\n", + "for idx, flavor in enumerate(FLAVORS):\n", " timer_before_parse = time.perf_counter()\n", " tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n", - " tables_list.append(tables)\n", " timer_after_parse = time.perf_counter()\n", - " ax = axes[idx]\n", - " for idx_table, table in enumerate(tables):\n", - " print(\"Showing table #{idx} found by {flavor}:\".format(idx=idx_table, flavor=flavor))\n", - " display(table.df)\n", + " max_tables = max(max_tables, len(tables))\n", + "\n", + " parses[flavor] = {\n", + " \"tables\": tables,\n", + " \"time\": timer_after_parse - timer_before_parse\n", + " }\n", + "\n", + " print(\"Found {count_tables} table(s) via algo {flavor}:\".format(\n", + " count_tables=len(tables),\n", + " flavor=flavor\n", + " ))\n", + " for idx, table in enumerate(tables):\n", + " flavors_matching = []\n", + " for previous_flavor, previous_tables in tables_parsed.items():\n", + " for prev_idx, previous_table in enumerate(previous_tables):\n", + " if previous_table.df.equals(table.df):\n", + " flavors_matching.append(\n", + " \"{previous_flavor} table {prev_idx}\".format(\n", + " previous_flavor=previous_flavor, prev_idx=prev_idx))\n", + " if flavors_matching:\n", + " print(\"Same table as found in {}\".format(\", \".join(flavors_matching)))\n", + " else:\n", + " print(\"Flavor {} table {}:\".format(flavor, idx))\n", + " display(table.df)\n", + " print(\"After Flavor {} table {}:\".format(flavor, idx))\n", + " tables_parsed[flavor] = tables\n", + "\n", + "\n", + "# Set up plots to be large enough for visualization\n", + "PLOT_HEIGHT = 12\n", + "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * len(FLAVORS), PLOT_HEIGHT * max_tables]\n", + "fig, axes = plt.subplots(max_tables, len(FLAVORS))\n", + "fig.suptitle('Side-by-side Flavor Review')\n", + "for idx, flavor in enumerate(FLAVORS):\n", + " parse = parses[flavor]\n", + " tables = parse[\"tables\"]\n", + " parse_time = parse[\"time\"]\n", + " for table_idx, table in enumerate(tables):\n", + " if max_tables > 1:\n", + " ax = axes[table_idx][idx]\n", + " else:\n", + " ax = axes[idx]\n", " fig = camelot.plot(table, kind='grid', ax=ax)\n", - " ax.set_title(\"{flavor}\".format(flavor=flavor))\n", - " tables_dims = \", \".join(\n", - " map(\n", - " lambda table: \"{rows}x{cols}\".format(\n", + " if table_idx == 0:\n", + " ax.set_title(\"Found {table_num} tables via {flavor} in {parse_time:.2f}s\".format(\n", + " table_num=len(tables),\n", + " flavor=flavor,\n", + " parse_time=parse_time,\n", + " ))\n", + " ax.text(\n", + " 0.5,-0.1, \n", + " \"{flavor} table {table_idx} - {rows}x{cols}\".format(\n", + " flavor=flavor,\n", + " table_idx=table_idx,\n", " rows=table.shape[0],\n", " cols=table.shape[1],\n", - " ), tables\n", + " ), \n", + " size=12, ha=\"center\", \n", + " transform=ax.transAxes\n", " )\n", - " )\n", - " ax.text(\n", - " 0.5,-0.1, \n", - " \"Found {table_num} tables ({tables_dims}) in {parse_time:.2f}s\".format(\n", - " table_num=len(tables),\n", - " tables_dims=tables_dims,\n", - " parse_time=timer_after_parse - timer_before_parse,\n", - " ), \n", - " size=12, ha=\"center\", \n", - " transform=ax.transAxes\n", - " )\n", - " timer_after_plot = time.perf_counter()\n", + " timer_after_plot = time.perf_counter()\n", + "\n", "fig" ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "numpy.ndarray" + }, + "metadata": {}, + "execution_count": 8 + } + ], + "source": [ + "type(axes)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "{'stream': ,\n 'lattice': ,\n 'network': ,\n 'hybrid': }" + }, + "metadata": {}, + "execution_count": 9 + } + ], + "source": [ + "tables_parsed" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/tests/test_common.py b/tests/test_common.py index c321e1d..a286b7f 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -293,6 +293,17 @@ def test_hybrid(): tables = camelot.read_pdf(filename, flavor="hybrid") assert_frame_equal(df, tables[0].df) +def test_hybrid_two_tables(): + df1 = pd.DataFrame(data_network_two_tables_1) + df2 = pd.DataFrame(data_network_two_tables_2) + + filename = os.path.join(testdir, "tabula/12s0324.pdf") + tables = camelot.read_pdf(filename, flavor="hybrid") + + assert len(tables) == 2 + assert df1.equals(tables[0].df) + assert df2.equals(tables[1].df) + def test_hybrid_vertical_header(): """Tests a complex table with a vertically text header. """ From ba5169b33d0b652c6bc3fbb53d9d118103671133 Mon Sep 17 00:00:00 2001 From: Frh Date: Fri, 8 May 2020 15:08:12 -0700 Subject: [PATCH 60/60] Enable process_background option for hybrid Trim empty cols and lines --- camelot/cli.py | 2 +- camelot/parsers/base.py | 14 +++++---- camelot/parsers/hybrid.py | 14 +++++---- camelot/parsers/lattice.py | 4 +-- camelot/utils.py | 58 +++++++++++++++++++++++--------------- tests/data.py | 46 ++++++++++++++++++++++++++++++ tests/test_common.py | 9 ++++++ 7 files changed, 109 insertions(+), 38 deletions(-) diff --git a/camelot/cli.py b/camelot/cli.py index e3948e0..86f5db8 100644 --- a/camelot/cli.py +++ b/camelot/cli.py @@ -58,7 +58,7 @@ pass_config = click.make_pass_decorator(Config) "-flag", "--flag_size", is_flag=True, - help="Flag text based on" " font size. Useful to detect super/subscripts.", + help="Flag text based on font size. Useful to detect super/subscripts.", ) @click.option( "-strip", diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index f6c9ea6..d37daf0 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -131,13 +131,15 @@ class BaseParser(): return True return False - def _initialize_new_table(self, table_idx, cols, rows): + def _initialize_new_table(self, table_idx, bbox, cols, rows): """Initialize new table object, ready to be populated Parameters ---------- table_idx : int Index of this table within the pdf page analyzed + bbox : set + bounding box of this table within the pdf page analyzed cols : list list of coordinate boundaries tuples (left, right) rows : list @@ -151,7 +153,7 @@ class BaseParser(): table = Table(cols, rows) table.page = self.page table.order = table_idx + 1 - table._bbox = self.table_bboxes()[table_idx] + table._bbox = bbox return table @staticmethod @@ -191,7 +193,7 @@ class BaseParser(): # Pure virtual, must be defined by the derived parser raise NotImplementedError() - def _generate_table(self, table_idx, cols, rows, **kwargs): + def _generate_table(self, table_idx, bbox, cols, rows, **kwargs): # Pure virtual, must be defined by the derived parser raise NotImplementedError() @@ -225,7 +227,7 @@ class BaseParser(): user_cols ) table = self._generate_table( - table_idx, cols, rows, v_s=v_s, h_s=h_s) + table_idx, bbox, cols, rows, v_s=v_s, h_s=h_s) _tables.append(table) return _tables @@ -467,8 +469,8 @@ class TextBaseParser(BaseParser): raise ValueError("Length of table_areas and columns" " should be equal") - def _generate_table(self, table_idx, cols, rows, **kwargs): - table = self._initialize_new_table(table_idx, cols, rows) + def _generate_table(self, table_idx, bbox, cols, rows, **kwargs): + table = self._initialize_new_table(table_idx, bbox, cols, rows) table = table.set_all_edges() self.record_parse_metadata(table) diff --git a/camelot/parsers/hybrid.py b/camelot/parsers/hybrid.py index d6fe13a..c18ef29 100644 --- a/camelot/parsers/hybrid.py +++ b/camelot/parsers/hybrid.py @@ -104,10 +104,15 @@ class Hybrid(BaseParser): parser = self.table_bbox_parses[bbox] return parser._generate_columns_and_rows(bbox, table_idx) - def _generate_table(self, table_idx, cols, rows, **kwargs): - bbox = self.table_bboxes()[table_idx] + def _generate_table(self, table_idx, bbox, cols, rows, **kwargs): parser = self.table_bbox_parses[bbox] - return parser._generate_table(table_idx, cols, rows, **kwargs) + table = parser._generate_table(table_idx, bbox, cols, rows, **kwargs) + # Because hybrid can inject extraneous splits from both lattice and + # network, remove lines / cols that are completely empty. + df = table.df + df[df.astype(bool)].dropna(axis=0, how="all", inplace=True) + df[df.astype(bool)].dropna(axis=1, how="all", inplace=True) + return table @staticmethod def _augment_boundaries_with_splits(boundaries, splits, tolerance=0): @@ -223,6 +228,3 @@ class Hybrid(BaseParser): # Add the bboxes from network that haven't been merged for network_bbox in _network_bboxes: self.table_bbox_parses[network_bbox] = self.network_parser - - def record_parse_metadata(self, table): - super().record_parse_metadata(table) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 05bd649..1e6ed30 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -322,13 +322,13 @@ class Lattice(BaseParser): ] return cols, rows, v_s, h_s - def _generate_table(self, table_idx, cols, rows, **kwargs): + def _generate_table(self, table_idx, bbox, cols, rows, **kwargs): v_s = kwargs.get("v_s") h_s = kwargs.get("h_s") if v_s is None or h_s is None: raise ValueError("No segments found on {}".format(self.rootname)) - table = self._initialize_new_table(table_idx, cols, rows) + table = self._initialize_new_table(table_idx, bbox, cols, rows) # set table edges to True using ver+hor lines table = table.set_edges(v_s, h_s, joint_tol=self.joint_tol) # set table border edges to True diff --git a/camelot/utils.py b/camelot/utils.py index d24230d..d91d556 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -110,9 +110,21 @@ def download_url(url): shutil.move(f.name, filepath) return filepath - -stream_kwargs = ["columns", "edge_tol", "row_tol", "column_tol"] -lattice_kwargs = [ +common_kwargs = [ + "flag_size", + "margins", + "split_text", + "strip_text", + "table_areas", + "table_regions" +] +text_kwargs = common_kwargs + [ + "columns", + "edge_tol", + "row_tol", + "column_tol" +] +lattice_kwargs = common_kwargs+ [ "process_background", "line_scale", "copy_text", @@ -124,33 +136,33 @@ lattice_kwargs = [ "iterations", "resolution", ] +flavor_to_kwargs = { + "stream": text_kwargs, + "network": text_kwargs, + "lattice": lattice_kwargs, + "hybrid": text_kwargs + lattice_kwargs, +} def validate_input(kwargs, flavor="lattice"): - def check_intersection(parser_kwargs, input_kwargs): - isec = set(parser_kwargs).intersection(set(input_kwargs.keys())) - if isec: - raise ValueError( - "{} cannot be used with flavor='{}'".format( - ",".join(sorted(isec)), flavor - ) + parser_kwargs = flavor_to_kwargs[flavor] + # s.difference(t): new set with elements in s but not in t + isec = set(kwargs.keys()).difference(set(parser_kwargs)) + if isec: + raise ValueError( + "{} cannot be used with flavor='{}'".format( + ",".join(sorted(isec)), flavor ) - - if flavor == "lattice": - check_intersection(stream_kwargs, kwargs) - else: - check_intersection(lattice_kwargs, kwargs) + ) def remove_extra(kwargs, flavor="lattice"): - if flavor == "lattice": - for key in kwargs.keys(): - if key in stream_kwargs: - kwargs.pop(key) - else: - for key in kwargs.keys(): - if key in lattice_kwargs: - kwargs.pop(key) + parser_kwargs = flavor_to_kwargs[flavor] + # Avoid "dictionary changed size during iteration" + kwargs_keys = list(kwargs.keys()) + for key in kwargs_keys: + if key not in parser_kwargs: + kwargs.pop(key) return kwargs diff --git a/tests/data.py b/tests/data.py index c32ee28..844fc70 100755 --- a/tests/data.py +++ b/tests/data.py @@ -3701,6 +3701,52 @@ data_lattice_process_background = [ ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"], ] +data_hybrid_process_background = [ + [ + "State", + "Date", + "Halt", + "Halt", + "Persons", + "Persons", + "Persons", + "Persons", + ], + ["", "", "stations", "days", "directly", "trained", "counseled", "tested"], + ["", "", "", "", "reached", "", "", "for HIV"], + ["", "", "", "", "(in lakh)", "", "", ""], + ["Delhi", "1.12.2009", "8", "17", "1.29", "3,665", "2,409", "1,000"], + ["Rajasthan", "2.12.2009 to", "", "", "", "", "", ""], + ["", "19.12.2009", "", "", "", "", "", ""], + ["Gujarat", "20.12.2009 to", "6", "13", "6.03", "3,810", "2,317", "1,453"], + ["", "3.1.2010", "", "", "", "", "", ""], + [ + "Maharashtra", + "4.01.2010 to", + "13", + "26", + "1.27", + "5,680", + "9,027", + "4,153", + ], + ["", "1.2.2010", "", "", "", "", "", ""], + [ + "Karnataka", + "2.2.2010 to", + "11", + "19", + "1.80", + "5,741", + "3,658", + "3,183", + ], + ["", "22.2.2010", "", "", "", "", "", ""], + ["Kerala", "23.2.2010 to", "9", "17", "1.42", "3,559", "2,173", "855"], + ["", "11.3.2010", "", "", "", "", "", ""], + ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"], +] + data_lattice_copy_text = [ ["Plan Type", "County", "Plan Name", "Totals"], ["GMC", "Sacramento", "Anthem Blue Cross", "164,380"], diff --git a/tests/test_common.py b/tests/test_common.py index a286b7f..bd6c861 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -315,6 +315,15 @@ def test_hybrid_vertical_header(): assert_frame_equal(df, tables[0].df) +def test_hybrid_process_background(): + df = pd.DataFrame(data_hybrid_process_background) + + filename = os.path.join(testdir, "background_lines_1.pdf") + tables = camelot.read_pdf( + filename, flavor="hybrid", process_background=True) + assert_frame_equal(df, tables[1].df) + + # Lattice parser tests def test_lattice(): df = pd.DataFrame(data_lattice)