data/rows-0.4.1/docs/cli.md:43: aggreate ==> aggregate
data/rows-0.4.1/docs/cli.md:46: everytime ==> every time
data/rows-0.4.1/docs/cli.md:338: ba ==> by, be
data/rows-0.4.1/docs/index.md:14: officialy ==> officially
data/rows-0.4.1/docs/plugins.md:3: behing ==> behind, being
data/rows-0.4.1/docs/plugins.md:144: programatically ==> programmatically
data/rows-0.4.1/docs/plugins.md:167: programatically ==> programmatically
data/rows-0.4.1/docs/quick-start.md:3: Programatically ==> Programmatically
data/rows-0.4.1/examples/cli/extract-pdf.sh:3: ba ==> by, be
data/rows-0.4.1/examples/data/brazilian-cities.csv:33: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:41: Capela ==> Capella
data/rows-0.4.1/examples/data/brazilian-cities.csv:77: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:204: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:205: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:206: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:207: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:208: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:209: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:210: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:211: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:212: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:213: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:214: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:215: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:216: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:217: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:218: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:219: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:220: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:221: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:222: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:223: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:224: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:225: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:226: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:227: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:228: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:229: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:230: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:231: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:232: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:233: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:234: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:235: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:236: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:237: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:238: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:239: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:240: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:241: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:242: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:243: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:244: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:245: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:246: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:247: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:248: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:249: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:250: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:251: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:252: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:253: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:254: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:255: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:256: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:257: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:258: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:259: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:260: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:261: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:262: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:263: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:264: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:265: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:266: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:267: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:268: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:269: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:270: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:271: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:272: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:273: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:274: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:275: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:276: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:277: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:278: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:279: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:280: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:281: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:282: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:283: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:284: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:285: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:286: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:286: Capela ==> Capella
data/rows-0.4.1/examples/data/brazilian-cities.csv:287: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:288: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:289: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:290: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:291: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:292: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:293: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:294: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:295: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:296: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:297: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:298: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:299: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:300: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:301: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:302: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:303: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:304: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:305: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:306: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:307: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:308: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:309: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:310: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:311: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:312: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:313: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:314: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:315: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:316: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:317: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:318: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:319: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:320: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:321: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:322: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:323: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:324: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:325: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:326: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:327: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:328: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:329: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:330: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:331: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:332: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:333: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:333: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:334: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:335: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:336: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:337: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:338: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:339: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:340: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:341: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:342: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:343: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:344: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:345: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:346: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:347: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:348: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:349: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:350: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:351: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:352: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:353: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:354: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:355: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:356: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:357: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:358: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:359: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:360: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:361: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:362: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:363: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:364: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:365: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:366: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:367: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:368: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:369: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:370: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:371: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:372: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:373: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:374: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:375: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:376: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:377: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:378: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:379: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:380: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:381: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:382: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:383: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:384: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:385: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:386: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:387: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:388: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:389: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:390: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:391: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:392: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:393: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:394: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:395: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:396: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:397: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:398: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:399: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:400: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:401: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:402: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:403: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:404: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:405: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:406: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:407: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:408: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:409: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:410: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:411: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:412: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:413: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:414: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:415: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:416: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:417: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:418: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:419: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:420: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:421: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:422: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:423: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:424: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:425: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:426: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:427: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:428: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:429: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:430: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:431: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:432: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:433: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:434: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:435: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:436: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:437: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:438: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:439: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:440: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:441: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:442: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:443: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:444: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:445: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:446: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:447: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:448: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:449: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:450: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:451: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:452: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:453: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:454: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:455: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:456: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:456: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:457: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:458: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:459: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:460: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:461: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:462: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:463: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:464: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:465: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:466: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:467: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:468: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:469: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:470: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:471: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:472: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:473: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:474: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:475: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:476: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:477: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:478: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:479: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:480: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:481: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:482: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:483: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:483: Soure ==> Source, sure, sore, sour, soured
data/rows-0.4.1/examples/data/brazilian-cities.csv:484: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:485: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:486: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:487: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:488: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:489: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:490: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:491: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:492: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:493: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:494: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:495: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:496: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:497: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:498: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:499: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:500: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:501: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:502: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:503: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:504: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:505: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:506: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:507: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:508: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:509: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:510: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:511: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:512: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:513: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:514: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:515: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:516: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:517: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:518: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:519: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:520: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:521: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:522: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:523: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:524: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:525: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:526: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:527: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:528: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:529: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:530: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:531: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:532: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:533: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:534: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:535: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:536: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:537: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:538: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:539: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:540: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:541: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:542: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:543: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:544: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:545: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:546: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:547: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:548: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:549: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:550: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:551: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:552: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:553: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:554: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:555: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:556: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:557: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:558: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:559: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:560: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:561: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:562: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:563: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:564: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:565: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:566: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:567: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:568: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:569: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:570: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:571: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:572: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:573: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:574: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:575: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:576: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:577: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:578: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:579: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:580: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:581: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:582: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:583: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:584: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:585: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:586: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:587: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:588: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:589: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:590: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:591: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:592: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:593: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:594: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:595: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:596: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:597: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:598: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:599: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:600: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:601: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:602: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:603: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:604: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:605: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:606: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:607: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:608: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:609: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:610: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:611: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:612: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:613: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:614: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:615: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:616: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:617: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:618: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:619: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:620: BA ==> BY, BE
data/rows-0.4.1/examples/data/brazilian-cities.csv:744: Oriente ==> Oriented
data/rows-0.4.1/examples/data/brazilian-cities.csv:1242: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:1632: Oriente ==> Oriented
data/rows-0.4.1/examples/data/brazilian-cities.csv:1654: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:1699: Capela ==> Capella
data/rows-0.4.1/examples/data/brazilian-cities.csv:1718: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:1799: Datas ==> Data
data/rows-0.4.1/examples/data/brazilian-cities.csv:2033: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:2093: Oriente ==> Oriented
data/rows-0.4.1/examples/data/brazilian-cities.csv:2293: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:2299: Oriente ==> Oriented
data/rows-0.4.1/examples/data/brazilian-cities.csv:2547: Soure ==> Source, sure, sore, sour, soured
data/rows-0.4.1/examples/data/brazilian-cities.csv:3294: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:3340: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:3509: Oriente ==> Oriented
data/rows-0.4.1/examples/data/brazilian-cities.csv:3914: Doble ==> Double
data/rows-0.4.1/examples/data/brazilian-cities.csv:3937: Capela ==> Capella
data/rows-0.4.1/examples/data/brazilian-cities.csv:3974: Cristal ==> Crystal
data/rows-0.4.1/examples/data/brazilian-cities.csv:3975: Cristal ==> Crystal
data/rows-0.4.1/examples/data/brazilian-cities.csv:4100: Mata ==> Meta, mater
data/rows-0.4.1/examples/data/brazilian-cities.csv:4826: Capela ==> Capella
data/rows-0.4.1/examples/data/brazilian-cities.csv:5064: Mor ==> More
data/rows-0.4.1/examples/data/brazilian-cities.csv:5094: Oriente ==> Oriented
data/rows-0.4.1/examples/data/brazilian-cities.csv:5364: Capela ==> Capella
data/rows-0.4.1/examples/library/custom_field.py:8: represetation ==> representation
data/rows-0.4.1/examples/library/extract_pdf.py:9: ba ==> by, be
data/rows-0.4.1/rows/utils.py:381: supporte ==> supported, supporter
data/rows-0.4.1/rows/utils.py:523: lazyness ==> laziness
data/rows-0.4.1/rows/utils.py:523: incorported ==> incorporated
data/rows-0.4.1/rows/utils.py:656: greather ==> greater
data/rows-0.4.1/rows/plugins/ods.py:69: evalute ==> evaluate
data/rows-0.4.1/rows/plugins/txt.py:161: realy ==> really
data/rows-0.4.1/tests/tests_plugin_parquet.py:67: carefull ==> careful, carefully
data/rows-0.4.1/tests/tests_plugin_parquet.py:126: carefull ==> careful, carefully
data/rows-0.4.1/tests/tests_plugin_txt.py:196: proccess ==> process
data/rows-0.4.1/tests/tests_plugin_utils.py:299: convertion ==> conversion
data/rows-0.4.1/tests/data/ecuador-medios-radiodifusoras.csv:13: ser ==> set
data/rows-0.4.1/tests/data/ecuador-medios-radiodifusoras.html:8: Oficial ==> Official
data/rows-0.4.1/tests/data/ecuador-medios-radiodifusoras.html:699: Oficial ==> Official
data/rows-0.4.1/tests/data/ecuador-medios-radiodifusoras.html:1783: ser ==> set
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pdfminer.six.csv:11: LAZER ==> LASER
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pdfminer.six.csv:12: LAZER ==> LASER
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pdfminer.six.csv:13: LAZER ==> LASER
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pdfminer.six.csv:20: INTERM ==> INTERIM, INTERN
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pymupdf.csv:11: LAZER ==> LASER
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pymupdf.csv:12: LAZER ==> LASER
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pymupdf.csv:13: LAZER ==> LASER
data/rows-0.4.1/tests/data/expected-eleicoes-tcesp-161-pymupdf.csv:20: INTERM ==> INTERIM, INTERN
data/rows-0.4.1/tests/data/ibama-autuacao-amazonas-2010-pag2.csv:5: Controle ==> Control, controlled, controller
data/rows-0.4.1/tests/data/ibama-autuacao-amazonas-2010-pag2.csv:24: MATA ==> META, MATER