369 lines
11 KiB
Python
369 lines
11 KiB
Python
import numpy as np
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import pandas as pd
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class Cell(object):
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"""Cell.
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Defines a cell object with coordinates relative to a left-bottom
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origin, which is also PDFMiner's coordinate space.
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Parameters
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----------
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x1 : float
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x-coordinate of left-bottom point.
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y1 : float
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y-coordinate of left-bottom point.
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x2 : float
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x-coordinate of right-top point.
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y2 : float
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y-coordinate of right-top point.
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Attributes
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----------
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lb : tuple
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Tuple representing left-bottom coordinates.
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lt : tuple
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Tuple representing left-top coordinates.
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rb : tuple
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Tuple representing right-bottom coordinates.
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rt : tuple
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Tuple representing right-top coordinates.
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bbox : tuple
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Tuple representing the cell's bounding box using the
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lower-bottom and right-top coordinates.
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left : bool
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Whether or not cell is bounded on the left.
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right : bool
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Whether or not cell is bounded on the right.
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top : bool
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Whether or not cell is bounded on the top.
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bottom : bool
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Whether or not cell is bounded on the bottom.
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text_objects : list
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List of text objects assigned to cell.
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text : string
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Text assigned to cell.
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spanning_h : bool
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Whether or not cell spans/extends horizontally.
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spanning_v : bool
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Whether or not cell spans/extends vertically.
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"""
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def __init__(self, x1, y1, x2, y2):
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self.x1 = x1
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self.y1 = y1
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self.x2 = x2
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self.y2 = y2
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self.lb = (x1, y1)
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self.lt = (x1, y2)
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self.rb = (x2, y1)
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self.rt = (x2, y2)
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self.bbox = (x1, y1, x2, y2)
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self.left = False
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self.right = False
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self.top = False
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self.bottom = False
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self.text_objects = []
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self.text = ''
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self.spanning_h = False
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self.spanning_v = False
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self.image = None
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def add_text(self, text):
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"""Adds text to cell.
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Parameters
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----------
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text : string
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"""
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self.text = ''.join([self.text, text])
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def get_text(self):
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"""Returns text assigned to cell.
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Returns
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-------
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text : string
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"""
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return self.text
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def add_object(self, t_object):
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"""Adds PDFMiner text object to cell.
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Parameters
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----------
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t_object : object
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"""
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self.text_objects.append(t_object)
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def get_objects(self):
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"""Returns list of text objects assigned to cell.
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Returns
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-------
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text_objects : list
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"""
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return self.text_objects
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def get_bounded_edges(self):
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"""Returns the number of edges by which a cell is bounded.
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Returns
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-------
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bounded_edges : int
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"""
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self.bounded_edges = self.top + self.bottom + self.left + self.right
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return self.bounded_edges
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class Table(object):
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"""Table.
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Defines a table object with coordinates relative to a left-bottom
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origin, which is also PDFMiner's coordinate space.
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Parameters
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----------
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cols : list
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List of tuples representing column x-coordinates in increasing
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order.
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rows : list
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List of tuples representing row y-coordinates in decreasing
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order.
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Attributes
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----------
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cells : list
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List of cell objects with row-major ordering.
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nocont_ : int
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Number of lines that did not contribute to setting cell edges.
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"""
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def __init__(self, cols, rows):
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self.cols = cols
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self.rows = rows
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self.cells = [[Cell(c[0], r[1], c[1], r[0])
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for c in cols] for r in rows]
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self.nocont_ = 0
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self.image = None
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def set_all_edges(self):
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"""Sets all table edges to True.
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"""
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for r in range(len(self.rows)):
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for c in range(len(self.cols)):
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self.cells[r][c].left = True
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self.cells[r][c].right = True
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self.cells[r][c].top = True
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self.cells[r][c].bottom = True
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return self
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def set_border_edges(self):
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"""Sets table border edges to True.
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"""
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for r in range(len(self.rows)):
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self.cells[r][0].left = True
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self.cells[r][len(self.cols) - 1].right = True
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for c in range(len(self.cols)):
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self.cells[0][c].top = True
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self.cells[len(self.rows) - 1][c].bottom = True
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return self
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def set_edges(self, vertical, horizontal, jtol=2):
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"""Sets a cell's edges to True depending on whether they
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overlap with lines found by imgproc.
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Parameters
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----------
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vertical : list
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List of vertical lines detected by imgproc. Coordinates
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scaled and translated to the PDFMiner's coordinate space.
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horizontal : list
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List of horizontal lines detected by imgproc. Coordinates
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scaled and translated to the PDFMiner's coordinate space.
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"""
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for v in vertical:
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# find closest x coord
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# iterate over y coords and find closest points
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i = [i for i, t in enumerate(self.cols)
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if np.isclose(v[0], t[0], atol=jtol)]
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j = [j for j, t in enumerate(self.rows)
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if np.isclose(v[3], t[0], atol=jtol)]
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k = [k for k, t in enumerate(self.rows)
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if np.isclose(v[1], t[0], atol=jtol)]
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if not j:
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self.nocont_ += 1
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continue
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J = j[0]
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if i == [0]: # only left edge
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I = i[0]
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if k:
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K = k[0]
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while J < K:
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self.cells[J][I].left = True
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J += 1
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else:
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K = len(self.rows)
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while J < K:
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self.cells[J][I].left = True
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J += 1
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elif i == []: # only right edge
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I = len(self.cols) - 1
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if k:
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K = k[0]
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while J < K:
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self.cells[J][I].right = True
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J += 1
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else:
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K = len(self.rows)
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while J < K:
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self.cells[J][I].right = True
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J += 1
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else: # both left and right edges
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I = i[0]
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if k:
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K = k[0]
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while J < K:
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self.cells[J][I].left = True
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self.cells[J][I - 1].right = True
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J += 1
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else:
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K = len(self.rows)
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while J < K:
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self.cells[J][I].left = True
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self.cells[J][I - 1].right = True
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J += 1
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for h in horizontal:
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# find closest y coord
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# iterate over x coords and find closest points
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i = [i for i, t in enumerate(self.rows)
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if np.isclose(h[1], t[0], atol=jtol)]
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j = [j for j, t in enumerate(self.cols)
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if np.isclose(h[0], t[0], atol=jtol)]
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k = [k for k, t in enumerate(self.cols)
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if np.isclose(h[2], t[0], atol=jtol)]
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if not j:
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self.nocont_ += 1
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continue
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J = j[0]
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if i == [0]: # only top edge
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I = i[0]
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if k:
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K = k[0]
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while J < K:
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self.cells[I][J].top = True
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J += 1
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else:
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K = len(self.cols)
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while J < K:
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self.cells[I][J].top = True
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J += 1
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elif i == []: # only bottom edge
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I = len(self.rows) - 1
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if k:
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K = k[0]
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while J < K:
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self.cells[I][J].bottom = True
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J += 1
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else:
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K = len(self.cols)
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while J < K:
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self.cells[I][J].bottom = True
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J += 1
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else: # both top and bottom edges
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I = i[0]
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if k:
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K = k[0]
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while J < K:
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self.cells[I][J].top = True
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self.cells[I - 1][J].bottom = True
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J += 1
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else:
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K = len(self.cols)
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while J < K:
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self.cells[I][J].top = True
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self.cells[I - 1][J].bottom = True
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J += 1
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return self
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def set_spanning(self):
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"""Sets a cell's spanning_h or spanning_v attribute to True
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depending on whether the cell spans/extends horizontally or
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vertically.
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"""
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for r in range(len(self.rows)):
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for c in range(len(self.cols)):
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bound = self.cells[r][c].get_bounded_edges()
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if bound == 4:
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continue
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elif bound == 3:
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if not self.cells[r][c].left:
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if (self.cells[r][c].right and
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self.cells[r][c].top and
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self.cells[r][c].bottom):
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self.cells[r][c].spanning_h = True
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elif not self.cells[r][c].right:
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if (self.cells[r][c].left and
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self.cells[r][c].top and
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self.cells[r][c].bottom):
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self.cells[r][c].spanning_h = True
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elif not self.cells[r][c].top:
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if (self.cells[r][c].left and
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self.cells[r][c].right and
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self.cells[r][c].bottom):
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self.cells[r][c].spanning_v = True
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elif not self.cells[r][c].bottom:
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if (self.cells[r][c].left and
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self.cells[r][c].right and
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self.cells[r][c].top):
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self.cells[r][c].spanning_v = True
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elif bound == 2:
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if self.cells[r][c].left and self.cells[r][c].right:
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if (not self.cells[r][c].top and
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not self.cells[r][c].bottom):
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self.cells[r][c].spanning_v = True
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elif self.cells[r][c].top and self.cells[r][c].bottom:
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if (not self.cells[r][c].left and
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not self.cells[r][c].right):
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self.cells[r][c].spanning_h = True
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return self
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def get_list(self):
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"""Returns a two-dimensional list of text assigned to each
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cell.
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Returns
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-------
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ar : list
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"""
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ar = []
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for r in range(len(self.rows)):
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ar.append([self.cells[r][c].get_text().strip()
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for c in range(len(self.cols))])
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return ar
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class TableSet(object):
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pass |