Add Lattice benchmarks

camelot/core.py

@@ -313,6 +313,9 @@ class Table(object):
                         cell.vspan = True
                     elif top and bottom and (not left and not right):
                         cell.hspan = True
+                elif cell.bound in [0, 1]:
+                    cell.vspan = True
+                    cell.hspan = True
         return self
 
     def to_csv(self, path, **kwargs):

docs/benchmark/background_lines_1/background_lines_1-data-camelot-page-1-table-1.csv

@@ -0,0 +1,3 @@
+"The Red Ribbon Express (RRE) is the world’s largest mass mobilisation  drive  on  HIV/AIDS.  The train  will travel through 22 states, during its one year long journey, halting at 152 stations. Through the RRE, NACO, intends to break the  silence  surrounding  the  issue  of  HIV/AIDS,  by  taking the messages on prevention, care and support to people living in small towns and villages across the country. The aim  is  also  to  create  an  environment,  free  from  stigma and discrimination faced by people living with HIV, so they can access the services, without fear and prejudice, and live a life of dignity. It has proved to be a successful multi- sectoral initiative, of the NACO and a powerful advocacy tool, both at the state and district level, besides enhancing local capacity to deal with HIV prevention.","",""
+"","",""
+"","",""

docs/benchmark/background_lines_1/background_lines_1-data-camelot-page-1-table-2.csv

@@ -0,0 +1,8 @@
+"State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"
+"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 3.1.2010","6","13","6.03","3,810","2,317","1,453"
+"Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"
+"Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"
+"Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"
+"Total","","47","92","11.81","22,455","19,584","10,644"

docs/benchmark/background_lines_1/background_lines_1-data-tabula.csv

@@ -0,0 +1,8 @@
+State,Date,"Halt
stations","Halt
days","Persons
directly
reached
(in lakh)","Persons
trained","Persons
counseled","Persons
tested
for HIV"
+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
3.1.2010",6,13,6.03,"3,810","2,317","1,453"
+Maharashtra,"4.01.2010 to
1.2.2010",13,26,1.27,"5,680","9,027","4,153"
+Karnataka,"2.2.2010 to
22.2.2010",11,19,1.80,"5,741","3,658","3,183"
+Kerala,"23.2.2010 to
11.3.2010",9,17,1.42,"3,559","2,173",855
+Total,,47,92,11.81,"22,455","19,584","10,644"

docs/benchmark/background_lines_2/background_lines_2-data-camelot-page-1-table-1.csv

@@ -0,0 +1,27 @@
+"Sl.No","SIZE GROUP(HA)","NO. OF HOLDINGS GROWING THE CROP","","AREA UNDER THE CROP","","","AREA UNDER THE CROP TREATED WITHTHE  MANURE","",""
+"","","TOTAL NO.","NO. TREATED WITHTHE  MANURE","HYV","OTHERS","TOTAL","HYV","OTHERS","TOTAL"
+"(1)","(2)","(3)","(4)","(5)","(6)","(7)","(8)","(9)","(10)"
+"1","MARGINAL (BELOW 1.0)","","","","","","","",""
+"","I","39053","0","12142","3322","15464","0","0","0"
+"","UI","7429","0","2088","1560","3648","0","0","0"
+"","T","46484","0","14230","4882","19112","0","0","0"
+"2","SMALL (1.0 - 1.99)","","","","","","","",""
+"","I","20341","0","16685","1631","18316","0","0","0"
+"","UI","6854","0","4594","1885","6479","0","0","0"
+"","T","27197","0","21279","3516","24795","0","0","0"
+"3","SEMI-MEDIUM (2.0 - 3.99)","","","","","","","",""
+"","I","20800","0","16991","7643","24634","0","0","0"
+"","UI","5856","0","1017","4819","5836","0","0","0"
+"","T","26555","0","18008","12462","30470","0","0","0"
+"4","MEDIUM (4.0 - 9.99)","","","","","","","",""
+"","I","11986","0","17576","4120","21696","0","0","0"
+"","UI","4615","0","1446","6227","7673","0","0","0"
+"","T","16312","0","19022","10347","29369","0","0","0"
+"5","LARGE (10 AND ABOVE)","","","","","","","",""
+"","I","2005","0","3671","639","4310","0","0","0"
+"","UI","521","0","611","831","1442","0","0","0"
+"","T","2485","0","4282","1470","5752","0","0","0"
+"6","ALL GROUPS","","","","","","","",""
+"","I","94185","0","67065","17355","84420","0","0","0"
+"","UI","25275","0","9756","15322","25078","0","0","0"
+"","T","119033","0","76821","32677","109498","0","0","0"

docs/benchmark/background_lines_2/background_lines_2-data-tabula.csv

@@ -0,0 +1,29 @@
+Sl.No,"SIZE
GROUP
(HA)","NO. OF HOLDINGS GROWING
THE CROP
TOTAL NO.NO. TREATED WITH
THE  MANURE",AREA UNDER THE CROP,"AREA UNDER THE CROP TREATED WITH
THE  MANURE",,,,,
+"",,"NO. TREATED WITH
THE  MANURE",HYV,OTHERS,TOTAL,HYV,OTHERS,TOTAL,
+"(1)",(2),(3),(4),(5),(6),(7),(8),(9),(10)
+1,ARGINAL (BELOW 1.0),,,,,,,,
+"","I
UI
T",39053,0,12142,332,15464,0,0,0
+"",7429,0,2088,1560,3648,0,0,0,
+"",46484,0,14230,488,19112,0,0,0,
+2,MALL (1.0 - 1.99),,,,,,,,
+"","I
UI
T",20341,0,16685,163,18316,0,0,0
+"",6854,0,4594,1885,6479,0,0,0,
+"",27197,0,21279,351,24795,0,0,0,
+3,EMI-MEDIUM (2.0 - 3.99),,,,,,,,
+"","I
UI
T",20800,0,16991,764,24634,0,0,0
+"",5856,0,1017,4819,5836,0,0,0,
+"",26555,0,18008,1246,30470,0,0,0,
+4,EDIUM (4.0 - 9.99),,,,,,,,
+"","I
UI
T",11986,0,17576,412,21696,0,0,0
+"",4615,0,1446,6227,7673,0,0,0,
+"",16312,0,19022,1034,29369,0,0,0,
+5,ARGE (10 AND ABOVE),,,,,,,,
+"","I
UI
T",2005,0,3671,63,4310,0,0,0
+"",521,0,611,831,1442,0,0,0,
+"",2485,0,4282,147,5752,0,0,0,
+"",LL GROUPS,,,,,,,,
+"",94185,0,67065,1735,84420,0,0,0,
+6,,,,,,,,,
+"NO. OF HOLDINGS GROWING
THE CROP
TOTAL NO.NO. TREATED WITH
THE  MANURE"
+"NO. TREATED WITH
THE  MANURE"
+6

docs/benchmark/column_span_1/column_span_1-data-camelot-page-1-table-1.csv

@@ -0,0 +1,50 @@
+"Sl. No.","Year","Population (in Lakh)","Accidental Deaths","","Suicides","","Percentage Population growth"
+"","","","Incidence","Rate","Incidence","Rate",""
+"(1)","(2)","(3)","(4)","(5)","(6)","(7)","(8)"
+"1.","1967","4999","126762","25.4","38829","7.8","2.2"
+"2.","1968","5111","126232","24.7","40688","8.0","2.2"
+"3.","1969","5225","130755","25.0","43633","8.4","2.2"
+"4.","1970","5343","139752","26.2","48428","9.1","2.3"
+"5.","1971","5512","105601","19.2","43675","7.9","3.2"
+"6.","1972","5635","106184","18.8","43601","7.7","2.2"
+"7.","1973","5759","130654","22.7","40807","7.1","2.2"
+"8.","1974","5883","110624","18.8","46008","7.8","2.2"
+"9.","1975","6008","113016","18.8","42890","7.1","2.1"
+"10.","1976","6136","111611","18.2","41415","6.7","2.1"
+"11.","1977","6258","117338","18.8","39718","6.3","2.0"
+"12.","1978","6384","118594","18.6","40207","6.3","2.0"
+"13.","1979","6510","108987","16.7","38217","5.9","2.0"
+"14.","1980","6636","116912","17.6","41663","6.3","1.9"
+"15.","1981","6840","122221","17.9","40245","5.9","3.1"
+"16.","1982","7052","125993","17.9","44732","6.3","3.1"
+"17.","1983","7204","128576","17.8","46579","6.5","2.2"
+"18.","1984","7356","134628","18.3","50571","6.9","2.1"
+"19.","1985","7509","139657","18.6","52811","7.0","2.1"
+"20.","1986","7661","147023","19.2","54357","7.1","2.0"
+"21.","1987","7814","152314","19.5","58568","7.5","2.0"
+"22.","1988","7966","163522","20.5","64270","8.1","1.9"
+"23.","1989","8118","169066","20.8","68744","8.5","1.9"
+"24.","1990","8270","174401","21.1","73911","8.9","1.9"
+"25.","1991","8496","188003","22.1","78450","9.2","2.7"
+"26.","1992","8677","194910","22.5","80149","9.2","2.1"
+"27.","1993","8838","192357","21.8","84244","9.5","1.9"
+"28.","1994","8997","190435","21.2","89195","9.9","1.8"
+"29.","1995","9160","222487","24.3","89178","9.7","1.8"
+"30.","1996","9319","220094","23.6","88241","9.5","1.7"
+"31.","1997","9552","233903","24.5","95829","10.0","2.5"
+"32.","1998","9709","258409","26.6","104713","10.8","1.6"
+"33.","1999","9866","271918","27.6","110587","11.2","1.6"
+"34.","2000","10021","255883","25.5","108593","10.8","1.6"
+"35.","2001","10270","271019","26.4","108506","10.6","2.5"
+"36.","2002","10506","260122","24.8","110417","10.5","2.3"
+"37.","2003","10682","259625","24.3","110851","10.4","1.7"
+"38.","2004","10856","277263","25.5","113697","10.5","1.6"
+"39.","2005","11028","294175","26.7","113914","10.3","1.6"
+"40.","2006","11198","314704","28.1","118112","10.5","1.5"
+"41.","2007","11366","340794","30.0","122637","10.8","1.5"
+"42.","2008","11531","342309","29.7","125017","10.8","1.4"
+"43.","2009","11694","357021","30.5","127151","10.9","1.4"
+"44.","2010","11858","384649","32.4","134599","11.4","1.4"
+"45.","2011","12102","390884","32.3","135585","11.2","2.1"
+"46.","2012","12134","394982","32.6","135445","11.2","1.0"
+"47.","2013","12288","400517","32.6","134799","11.0","1.0"

docs/benchmark/column_span_1/column_span_1-data-tabula.csv

@@ -0,0 +1,50 @@
+Rate of Accidental Deaths & Suicides and Population Growth During 1967 to 2013,,,,,,,
+"Sl.
No.",Year,"Population
(in Lakh)",Accidental Deaths,Suicides,"Percentage
Population
growth",,
+"",,,Incidence,Rate,Incidence,Rate,
+"(1)",(2),(3),(4),(5),(6),(7),(8)
+1.,1967,4999,126762,25.4,38829,7.8,2.2
+2.,1968,5111,126232,24.7,40688,8.0,2.2
+3.,1969,5225,130755,25.0,43633,8.4,2.2
+4.,1970,5343,139752,26.2,48428,9.1,2.3
+5.,1971,5512,105601,19.2,43675,7.9,3.2
+6.,1972,5635,106184,18.8,43601,7.7,2.2
+7.,1973,5759,130654,22.7,40807,7.1,2.2
+8.,1974,5883,110624,18.8,46008,7.8,2.2
+9.,1975,6008,113016,18.8,42890,7.1,2.1
+10.,1976,6136,111611,18.2,41415,6.7,2.1
+11.,1977,6258,117338,18.8,39718,6.3,2.0
+12.,1978,6384,118594,18.6,40207,6.3,2.0
+13.,1979,6510,108987,16.7,38217,5.9,2.0
+14.,1980,6636,116912,17.6,41663,6.3,1.9
+15.,1981,6840,122221,17.9,40245,5.9,3.1
+16.,1982,7052,125993,17.9,44732,6.3,3.1
+17.,1983,7204,128576,17.8,46579,6.5,2.2
+18.,1984,7356,134628,18.3,50571,6.9,2.1
+19.,1985,7509,139657,18.6,52811,7.0,2.1
+20.,1986,7661,147023,19.2,54357,7.1,2.0
+21.,1987,7814,152314,19.5,58568,7.5,2.0
+22.,1988,7966,163522,20.5,64270,8.1,1.9
+23.,1989,8118,169066,20.8,68744,8.5,1.9
+24.,1990,8270,174401,21.1,73911,8.9,1.9
+25.,1991,8496,188003,22.1,78450,9.2,2.7
+26.,1992,8677,194910,22.5,80149,9.2,2.1
+27.,1993,8838,192357,21.8,84244,9.5,1.9
+28.,1994,8997,190435,21.2,89195,9.9,1.8
+29.,1995,9160,222487,24.3,89178,9.7,1.8
+30.,1996,9319,220094,23.6,88241,9.5,1.7
+31.,1997,9552,233903,24.5,95829,10.0,2.5
+32.,1998,9709,258409,26.6,104713,10.8,1.6
+33.,1999,9866,271918,27.6,110587,11.2,1.6
+34.,2000,10021,255883,25.5,108593,10.8,1.6
+35.,2001,10270,271019,26.4,108506,10.6,2.5
+36.,2002,10506,260122,24.8,110417,10.5,2.3
+37.,2003,10682,259625,24.3,110851,10.4,1.7
+38.,2004,10856,277263,25.5,113697,10.5,1.6
+39.,2005,11028,294175,26.7,113914,10.3,1.6
+40.,2006,11198,314704,28.1,118112,10.5,1.5
+41.,2007,11366,340794,30.0,122637,10.8,1.5
+42.,2008,11531,342309,29.7,125017,10.8,1.4
+43.,2009,11694,357021,30.5,127151,10.9,1.4
+44.,2010,11858,384649,32.4,134599,11.4,1.4
+45.,2011,12102,390884,32.3,135585,11.2,2.1
+46.,2012,12134,394982,32.6,135445,11.2,1.0

docs/benchmark/column_span_2/column_span_2-data-camelot-page-1-table-1.csv

@@ -0,0 +1,11 @@
+"Investigations","No. ofHHs","Age/Sex/Physiological  Group","Preva-lence","C.I*","RelativePrecision","Sample sizeper State"
+"Anthropometry","2400","All the available individuals","","","",""
+"Clinical Examination","","","","","",""
+"History of morbidity","","","","","",""
+"Diet survey","1200","All the individuals partaking meals in the HH","","","",""
+"Blood Pressure #","2400","Men (≥ 18yrs)","10%","95%","20%","1728"
+"","","Women (≥ 18 yrs)","","","","1728"
+"Fasting blood glucose","2400","Men (≥ 18 yrs)","5%","95%","20%","1825"
+"","","Women (≥ 18 yrs)","","","","1825"
+"Knowledge &Practices on HTN &DM","2400","Men (≥ 18 yrs)","-","-","-","1728"
+"","2400","Women (≥ 18 yrs)","-","-","-","1728"

docs/benchmark/column_span_2/column_span_2-data-tabula.csv

@@ -0,0 +1,10 @@
+Investigations,"No. of
HHs","Age/Sex/
Physiological Group","Preva-
lence",C.I*,"Relative
Precision","Sample size
per State"
+Anthropometry,2400,All the available individuals,,,,
+Clinical Examination,,,,,,
+History of morbidity,,,,,,
+Diet survey,1200,All the individuals partaking meals in the HH,,,,
+Blood Pressure #,2400,Men (≥ 18yrs),10%,95%,20%,1728
+"",,Women (≥ 18 yrs),1728,,,
+Fasting blood glucose,2400,Men (≥ 18 yrs),5%,95%,20%,1825
+"",Women (≥ 18 yrs),1825,,,,
+2400,Men (≥ 18 yrs),-,-,-,1728,

docs/benchmark/electoral_roll/electoral_roll-data-camelot-page-1-table-1.csv

@@ -0,0 +1,32 @@
+"Section No & Name -1-DG-3, DDA FLATS VIKAS PURI ,DELHI","","","","","","","","","",""
+"","1 NEL2976271","","","2 NEL3800892","","","3 NEL3767760","","",""
+"","Mukesh KumarName :Father's :Lok Nath JhambName0House No :Age : 55Sex : Male","","","Dharamveer NandaName :Father's :Madan LalName15House No :Age : 63Sex : Male","","","Amit NandaName :Father's :Dharamvir NandaName15House No :Age : 33Sex : Male","","",""
+"","","","","","","","","","",""
+"","4 NEL3559068","","","5 NEL3905551","","","6 NEL3827317","","",""
+"","PoojaName :Father's :P D JoshiName31House No :Age : 23Sex : Female","","","Aashray DuttaName :Father's :Ajay DuttaName48House No :Age : 22Sex : Male","","","Pushpjeet Kaur SinghName :Husband's :Baljit SinghName55House No :Age : 62Sex : Female","","",""
+"","","","","","","","","","",""
+"","7 NEL3475357","","","8 NEL3896791","","","9 NEL3896627","","",""
+"","LakshmiName :Husband's :Lt KrishnanName62House No :Age : 80Sex : Female","","","Davinder KumarName :Father's :Ram RattanName63House No :Age : 61Sex : Male","","","DeepaName :Husband's :Davinder KumarName63House No :Age : 54Sex : Female","","",""
+"","","","","","","","","","",""
+"","10 NEL3784815","","","11 NEL3244199","","","12 LQK1856012","","",""
+"","Tavishi DuttName :Father's :Anil DuttName73House No :Age : 20Sex : Female","","","Devinder VermaName :Father's :Prem Singh VermaName75House No :Age : 49Sex : Male","","","Sheetal BansalName :Father's :Vijay SharmaName88House No :Age : 41Sex : Female","","",""
+"","","","","","","","","","",""
+"","13 NEL3842365","","","14 NEL2973293","","","15 NEL2950060","","",""
+"","Joyti AdhkariName :Husband's :Rakesh AdhikariName92House No :Age : 28Sex : Female","","","RituName :Husband's :Rajesh KumarName104House No :Age : 45Sex : Female","","","Rajesh KumarName :Father's :Rai Bahadur JunejaName104House No :Age : 43Sex : Male","","",""
+"","","","","","","","","","",""
+"","16 NEL2971959","","","17 NEL3843173","","","18 NEL4068250","","",""
+"","ParulName :Father's :Rajesh KumarName104House No :Age : 23Sex : Female","","","Sushila GudvenaName :Father's :A Chayya MysaName119-BHouse No :Age : 46Sex : Female","","","DrishtiName :Father's :PramodhName126House No :Age : 22Sex : Female","","",""
+"","","","","","","","","","",""
+"","19 NEL3817466","","","20 NEL3834049","","","21 NEL3247474","","",""
+"","AnkitName :Father's :Dinesh KumarName133House No :Age : 29Sex : Male","","","Vibhu NandaName :Father's :Pradeep Kumar NandaName143House No :Age : 25Sex : Male","","","Mool ChandName :Father's :Ghisa RamName145House No :Age : 47Sex : Male","","",""
+"","","","","","","","","","",""
+"","22 NEL3710472","","","23 NEL3722823","","","24 NEL3801163","","",""
+"","Meha Elizabeth VargheseName :Father's :Varughese MathewName147House No :Age : 20Sex : Female","","","Mohit ChadhaName :Mother's :Promila ChadhaName151House No :Age : 24Sex : Male","","","Sakshi RanaName :Father's :Surinder RanaName155House No :Age : 21Sex : Female","","",""
+"","","","","","","","","","",""
+"","25 NEL3654752","","","26 NEL3714978","","","27 NEL2926482","","",""
+"","Devender KumarName :Father's :Om Prakash RustagiName178House No :Age : 41Sex : Male","","","Shuchi RustagiName :Husband's :Devender KumarName178House No :Age : 35Sex : Female","","","Narayanan T PName :Father's :Sekharan NairName194House No :Age : 59Sex : Male","","",""
+"","","","","","","","","","",""
+"","28 NEL4131230","","","29 NEL3379277","","","30 NEL3379433","","",""
+"","Papiya BoseName :Husband's :Vipin KumarName195House No :Age : 33Sex : Female","","","Depali ChaudharyName :Husband's :Nitin KumarName195House No :Age : 28Sex : Female","","","Arvind VermaName :Father's :Pr VermaName201House No :Age : 45Sex : Male","","",""
+"","","","","","","","","","",""
+"","","","","","","","","","",""

docs/benchmark/electoral_roll/electoral_roll-data-tabula.csv

@@ -0,0 +1,56 @@
+2
+3
+""
+""
+""
+4
+5
+6
+""
+""
+""
+7
+8
+9
+""
+""
+""
+10
+11
+12
+""
+""
+""
+13
+14
+15
+""
+""
+""
+16
+17
+18
+""
+""
+""
+19
+20
+21
+""
+""
+""
+22
+23
+24
+""
+""
+""
+25
+26
+27
+""
+""
+""
+28
+29
+30

docs/benchmark/rotated/rotated-data-camelot-page-1-table-1.csv

@@ -0,0 +1,13 @@
+"State","Nutritional Assessment  (No. of individuals)","","","","IYCF Practices  (No. of mothers: 2011-12)","Blood Pressure  (No. of adults: 2011-12)","","Fasting  Blood Sugar (No. of adults:2011-12)",""
+"","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"
+"Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"
+"Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"
+"Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"
+"Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"
+"Maharashtra","5161","7796","6883","9525","467","2368","2648","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"
+"Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"

docs/benchmark/rotated/rotated-data-tabula.csv

@@ -0,0 +1,9 @@
+"State
la
il Nadu",,,T,ble,"1 :
Nut
(","TA
itio
o.","E
al
f in","IS
ss
ivi","CO
ss
ual","ER
ent
)",G,PA
+"",,,"197
57
73","-79
8
7","1
1","88-9
633
21",,"996
88
58","97
4
3",,"011
829
785",12
+"ataka
hra Prad
arashtra
rat
hya Pra",sh,,"64
58","3
4",,"138
920",,"126
95","6
5",,"895
830",
+"",es,,"44
*",3,,"374
*",,"48
*",6,,"964
794",
+"sa
t Bengal
r Pradesh
led
* Data not",vail,"37
*
*
38
ble","6
42",5,"540
*
*
61",,"120
*
*
606","4
1",,"847
804
986
68",8,
+MB,,,,,,,,,,,,
+"",,,,,,,,,,,,
+"",,,,,,,,,,,,
+"",,,,,,,,,,,,

docs/benchmark/row_span/row_span-data-camelot-page-1-table-1.csv

@@ -0,0 +1,40 @@
+"Plan Type","County","Plan Name","Totals"
+"GMC","Sacramento","Anthem Blue Cross","164,380"
+"","","Health Net","126,547"
+"","","Kaiser Foundation","74,620"
+"","","Molina Healthcare","59,989"
+"","San Diego","Care 1st Health Plan","71,831"
+"","","Community Health Group","264,639"
+"","","Health Net","72,404"
+"","","Kaiser","50,415"
+"","","Molina Healthcare","206,430"
+"","Total GMC Enrollment","","1,091,255"
+"COHS","Marin","Partnership Health Plan of CA","36,006"
+"","Mendocino","","37,243"
+"","Napa","","28,398"
+"","Solano","","113,220"
+"","Sonoma","","112,271"
+"","Yolo","","52,674"
+"","Del Norte","","11,242"
+"","Humboldt","","49,911"
+"","Lake","","29,149"
+"","Lassen","","7,360"
+"","Modoc","","2,940"
+"","Shasta","","61,763"
+"","Siskiyou","","16,715"
+"","Trinity","","4,542"
+"","Merced","Central California Alliance for Health","123,907"
+"","Monterey","","147,397"
+"","Santa Cruz","","69,458"
+"","Santa Barbara","CenCal","117,609"
+"","San Luis Obispo","","55,761"
+"","Orange","CalOptima","783,079"
+"","San Mateo","Health Plan of San Mateo","113,202"
+"","Ventura","Gold Coast Health Plan","202,217"
+"","Total COHS Enrollment","","2,176,064"
+"Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"
+"PCCM","Los Angeles","AIDS Healthcare Foundation","828"
+"","San Francisco","Family Mosaic","25"
+"","Total PHP Enrollment","","853"
+"All Models Total Enrollments","","","10,132,875"
+"Source:   Data Warehouse 12/14/15","","",""

docs/benchmark/row_span/row_span-data-tabula.csv

@@ -0,0 +1,39 @@
+Plan Type,County,Plan Name,Totals
+GMC,Sacramento,Anthem Blue Cross,"164,380"
+"",,Health Net,"126,547"
+"",,Kaiser Foundation,"74,620"
+"",,Molina Healthcare,"59,989"
+"",San Diego,Care 1st Health Plan,"71,831"
+"",,Community Health Group,"264,639"
+"",,Health Net,"72,404"
+"",,Kaiser,"50,415"
+"",,Molina Healthcare,"206,430"
+"",Total GMC Enrollment,"1,091,255",
+COHS,Marin,Partnership Health Plan of CA,"36,006"
+"",Mendocino,"37,243",
+"",Napa,"28,398",
+"",Solano,"113,220",
+"",Sonoma,"112,271",
+"",Yolo,"52,674",
+"",Del Norte,"11,242",
+"",Humboldt,"49,911",
+"",Lake,"29,149",
+"",Lassen,"7,360",
+"",Modoc,"2,940",
+"",Shasta,"61,763",
+"",Siskiyou,"16,715",
+"",Trinity,"4,542",
+"",Merced,Central California Alliance for Health,"123,907"
+"",Monterey,"147,397",
+"",Santa Cruz,"69,458",
+"",Santa Barbara,CenCal,"117,609"
+"",San Luis Obispo,"55,761",
+"",Orange,CalOptima,"783,079"
+"",San Mateo,Health Plan of San Mateo,"113,202"
+"",Ventura,Gold Coast Health Plan,"202,217"
+"",Total COHS Enrollment,"2,176,064",
+"Subtotal for Two-Plan, Regional Model, GMC and COHS","10,132,022",,
+PCCM,Los Angeles,AIDS Healthcare Foundation,828
+San Francisco,Family Mosaic,25,
+Total PHP Enrollment,853,,
+All Models Total Enrollments,"10,132,875",,

docs/benchmark/twotables_1/twotables_1-data-camelot-page-1-table-1.csv

@@ -0,0 +1,3 @@
+"Sl. No.","Name of State/UT","Name of District","Disease/ Illness","No. of Cases","No. of Deaths","Date of start of outbreak","Date of reporting","Current Status","Comments/ Action taken"
+"","West Bengal","Bankura","xix.  Acute Diarrhoeal Disease","46","0","10/11/13","15/11/13","Under Control","Cases  of loose  motion  and  vomiting reported from  Village Daldali, SC Binodnagar, Block Onda, District Bankura. District RRT  and  Block  health  team  investigated  the  outbreak.  Active search for cases done. Cases treated at local health centre. 2 stool samples  collected  were  negative  for  cholera  culture.  Out  of  3 water samples collected 1 sample was non potable. Chlorination of  water  sources  done.  Health  education  given  regarding  safe drinking water and sanitation."
+"","","","xx.  Acute Diarrhoeal Disease","34","0","10/11/13","14/11/13","Under Control","Cases  of loose  motion  and  vomiting reported from  Village Icharia, SC Mankhamar, Block Onda, District Bankura. District RRT and Block health team investigated the outbreak. House to house  survey  done.  All  cases  treated  locally.  4  stool  samples collected  were  negative  for  cholera  culture.  Out  of  34  water samples collected, 8 samples were non potable. Chlorination of water sources  done.  Health  education  given regarding safe drinking water and sanitation."

docs/benchmark/twotables_1/twotables_1-data-camelot-page-1-table-2.csv

@@ -0,0 +1,5 @@
+"DISEASE OUTBREAKS  OF PREVIOUS WEEKS REPORTED LATE","","","","","","","",""
+"Sl. No","Name of State/UT","Name of District","Disease/ Illness","Cases","Deaths","Date of start of outbreak","Current Status","Comments/ Action taken"
+"1","Bihar","Madhubani","xxi. Acute Diarrhoeal Disease","69","0","30/09/13","Under Control","Cases of diarrhoea and vomiting reported from Village Indra Mandal tola, SC Sugapatti, PHC Phulparas, District Madhubani. District RRT investigated the outbreak.  House to house survey done.  Medical camp organized. Symptomatic  treatement  given  to  cases.  ORS  packets  and  halogen  tablets distributed in the community. Chlorination of water sources done. IEC done regarding safe drinking water and sanitation."
+"","","Madhubani","xxii. Acute Diarrhoeal Disease","30","1","28/10/13","Under Control","Cases  of  diarrhoea  and  vomiting  reported  from  Village/SC  Rupauli,  PHC Jhanjharpur,  District  Madhubani.  District  RRT  and  Block  health team investigated the  outbreak.  Active  search for  cases  done.  Medical  camp organized.  All  cases  treated.  One  death  occurred  in  14yr  old  female  child. ORS packets  and halogen tablets distributed. Chlorination of  water sources done. IEC activity regarding safe drinking water done."
+"","","Katihar","xxiii. Acute Diarrhoeal Disease","13","3","24/10/13","Under control","Cases  of  diarrhoea reported from  Village  Ahuta,  Alipur,  SC  Lachhor, PHC/Block  Balrampur,  District  Katihar.  District  RRT investigated the outbreak.   House to  house  survey  done.  Cases  occurred in  a  Adiwasi community.  3  deaths  occurred  in  45yr,  35yr  and  5yr  old  male.  Temporary medical camps organized. All cases treated symptomatically. Chlorination of water sources done. Health education given."

docs/benchmark/twotables_1/twotables_1-data-tabula.csv

@@ -0,0 +1,63 @@
+"Sl.
No.",Sl.,"Name of
State/UT",Name of,Name of District,Name of District,Disease/ Illness,Disease/ Illness,,No.,,"No. of
Deaths",No. of,,Date of,,"Date of
reporting",Date of,"Current
Status",Current,,Comments/ Action taken,
+No.,State/UT,of,Death,start of,eportin,Status,,,,,,,,,,,,,,,,
+"",,Cases,outbreak,,,,,,,,,,,,,,,,,,,
+"","xix.
Acute
Diarrhoeal
Disease",46,0,10/11/13,15/11/13,"Under
Control","CasesofloosemotionandvomitingreportedfromVillage
Daldali, SC Binodnagar, Block Onda, District Bankura. District
RRT and Block health team investigated the outbreak. Active
search for cases done. Cases treated at local health centre. 2 stool
samples collected were negative for cholera culture. Out of 3
water samples collected 1 sample was non potable. Chlorination
of water sources done. Health education given regarding safe
drinking water and sanitation.",,,,,,,,,,,,,,,
+"","ix.
Acute",,,,,,,,,,,,,,,,,,,,,
+"",Diarrhoeal,,,,,,,,,,,,,,,,,,,,,
+"",Disease,,,,,,,,,,,,,,,,,,,,,
+"",Bankura,,,,,,,,,,,,,,,,,,,,,
+West Bengal,,,,,,,,,,,,,,,,,,,,,,
+"",,,,,,,,,,,,,,,,,,,,,,
+"","xx.
Acute",,,,,,,,,,,,,,,,,,,,,
+Bankura
+""
+"xix.
Acute
Diarrhoeal
Disease"
+"ix.
Acute"
+Diarrhoeal
+Disease
+"xx.
Acute"
+Diarrhoeal
+Disease
+"Sl.
No",Sl.
+No,
+"",DISEASE OUTBREAKS  OF PREVIOUS WEEKS REPORTED LATE,,,,,,,,,,,,,,,,,
+"Sl.
No",Sl.,"Name of
State/UT",Name of,Name of District,Name of District,Disease/ Illness,Disease/ Illness,Cases,ases,Deaths,eaths,,Date of,,"Current
Status",Current,Comments/ Action taken,Comments/ Action taken
+No,State/UT,start of,Status,,,,,,,,,,,,,,,
+"",,,,,outbreak,,,,,,,,,,,,,
+"",Madhubani,"xxi. Acute
Diarrhoeal
Disease",69,0,30/09/13,"Under
Control","Cases of diarrhoea and vomiting reported from Village Indra Mandal tola, SC
Sugapatti, PHC Phulparas, District Madhubani. District RRT investigated the
outbreak.Housetohousesurveydone.Medicalcamporganized.
Symptomatic treatement given to cases. ORS packets and halogen tablets
distributed in the community. Chlorination of water sources done. IEC done
regarding safe drinking water and sanitation.",,,,,,,,,,,
+"",Madhubani,xxi. Acute,,,,,,,,,,,,,,,,
+"",,Diarrhoeal,,,,,,,,,,,,,,,,
+"",,Disease,,,,,,,,,,,,,,,,
+"",Madhubani,"xxii. Acute
Diarrhoeal
Disease",30,1,28/10/13,"Under
Control","Cases of diarrhoea and vomiting reported from Village/SC Rupauli, PHC
Jhanjharpur,DistrictMadhubani.DistrictRRTandBlockhealthteam
investigatedtheoutbreak.Activesearchforcasesdone.Medicalcamp
organized. All cases treated. One death occurred in 14yr old female child.
ORS packets and halogen tablets distributed. Chlorination of water sources
done. IEC activity regarding safe drinking water done.",,,,,,,,,,,
+"",Madhubani,xxii. Acute,,,,,,,,,,,,,,,,
+Bihar,Diarrhoeal,,,,,,,,,,,,,,,,,
+"",Disease,,,,,,,,,,,,,,,,,
+"",,,,,,,,,,,,,,,,,,
+"Name of
State/UT",Name of
+State/UT,
+Name of District,Name of District
+Disease/ Illness,Disease/ Illness
+Cases,ases
+Deaths,eaths
+"Current
Status",Current
+Status,
+Comments/ Action taken,Comments/ Action taken
+Madhubani
+Madhubani
+"xxi. Acute
Diarrhoeal
Disease"
+xxi. Acute
+Diarrhoeal
+Disease
+""
+Bihar
+""
+Madhubani
+Madhubani
+"xxii. Acute
Diarrhoeal
Disease"
+xxii. Acute
+Diarrhoeal
+Disease
+Katihar
+xxiii. Acute
+Diarrhoeal
+Disease

docs/benchmark/twotables_2/twotables_2-data-camelot-page-1-table-1.csv

@@ -0,0 +1,13 @@
+"State","n","Literacy Status","","","","",""
+"","","Illiterate","Read & Write","1-4 std.","5-8 std.","9-12 std.","College"
+"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"
+"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"
+"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"
+"Pooled","23889","30.9","1.9","12.3","23.2","25.2","6.4"

docs/benchmark/twotables_2/twotables_2-data-camelot-page-1-table-2.csv

@@ -0,0 +1,13 @@
+"State","n","Literacy Status","","","","",""
+"","","Illiterate","Read & Write","1-4 std.","5-8 std.","9-12 std.","College"
+"Kerala","2400","8.8","0.3","20.1","17.0","45.6","8.2"
+"Tamil Nadu","2400","29.9","1.5","8.5","33.1","22.3","4.8"
+"Karnataka","2399","47.9","2.5","10.2","18.8","18.4","2.3"
+"Andhra Pradesh","2400","66.4","0.7","6.8","12.9","11.4","1.8"
+"Maharashtra","2400","41.3","0.6","14.1","20.1","21.6","2.2"
+"Gujarat","2390","57.6","0.1","10.3","16.5","12.9","2.7"
+"Madhya Pradesh","2402","58.7","2.2","6.6","24.1","5.3","3.0"
+"Orissa","2405","50.0","0.9","8.1","21.9","15.1","4.0"
+"West Bengal","2293","49.1","4.8","11.2","16.8","17.1","1.1"
+"Uttar Pradesh","2400","67.3","2.0","3.1","17.2","7.7","2.7"
+"Pooled","23889","47.7","1.5","9.9","19.9","17.8","3.3"

docs/benchmark/twotables_2/twotables_2-data-tabula.csv

@@ -0,0 +1,32 @@
+State
+State
+State,,Literacy Status,,,,,,
+"",State,n,,,,,,
+"",,,Illiterate,Write,1-4 std.,5-8 std.,9-12 std.,College
+"",,,,,,,,
+"",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
+"",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
+"",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
+State
+State
+State,,Literacy Status,,,,,,
+"",State,n,,,,,,
+"",,,Illiterate,Write,1-4 std.,5-8 std.,9-12 std.,College
+"",,,,,,,,
+"",Kerala,2400,8.8,0.3,20.1,17.0,45.6,8.2
+"",Tamil Nadu,2400,29.9,1.5,8.5,33.1,22.3,4.8
+"",Karnataka,2399,47.9,2.5,10.2,18.8,18.4,2.3
+"",Andhra Pradesh,2400,66.4,0.7,6.8,12.9,11.4,1.8
+"",Maharashtra,2400,41.3,0.6,14.1,20.1,21.6,2.2
+"",Gujarat,2390,57.6,0.1,10.3,16.5,12.9,2.7
+"",Madhya Pradesh,2402,58.7,2.2,6.6,24.1,5.3,3.0
+"",Orissa,2405,50.0,0.9,8.1,21.9,15.1,4.0
+"",West Bengal,2293,49.1,4.8,11.2,16.8,17.1,1.1
+"",Uttar Pradesh,2400,67.3,2.0,3.1,17.2,7.7,2.7