Skip to main content

Text tokenizer done for SPLN 2022/2023

Project description

Table of Contents

  1. Objetivo
  2. Argparser

Objetivo

  • O objetivo deste TPC era a criação de um package python que recebesse como input ficheiros textos e fosse capaz de os tokenizar. Passando como argumento alguns regex costumizados transformá-los em tokens que iriam aparecer no texto final.
  • Por fim era ainda objetivo a disponibilização do módulo feito num repositório como o pypi ou o testpypi
  • Era ainda possível adicionar tokens costumizáveis com o argumento –abbreviations, sendo estas definidas em formato json

Argparser

usage: Tokenizor [-h] [--files [FILES ...]] [--chapter CHAPTER] [--pagebreak PAGEBREAK] [--output [OUTPUT ...]]
                 [--append] [--abbreviations ABBREVIATIONS]

Tokenize a file given as input

options:
  -h, --help            show this help message and exit
  --files [FILES ...], -f [FILES ...]
                        Define the file that is supposed to be tokenized
  --chapter CHAPTER, -cap CHAPTER
                        Define the regex for a Chapter
  --pagebreak PAGEBREAK, -pb PAGEBREAK
                        Define the regex for a page break
  --output [OUTPUT ...], -o [OUTPUT ...]
                        Define the output files to be written. The output files will map to the same order of
                        input files. If number of output files is less than the number of input files then the
                        other files will be written to the stdin.
  --append, -a          Define if the output is supposed to be appended
  --abbreviations ABBREVIATIONS, -abbr ABBREVIATIONS
                        Define the path to a json with a json that maps the regex of the abbreviation with the
                        token wanted.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tokenizador-1.3.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tokenizador-1.3-py2.py3-none-any.whl (5.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file tokenizador-1.3.tar.gz.

File metadata

  • Download URL: tokenizador-1.3.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for tokenizador-1.3.tar.gz
Algorithm Hash digest
SHA256 d9e3032ad4172adedb10e85f01277c84cadff3cedae67d1928278752cffe0196
MD5 5b73914dd998c15d8e4de95411d42bd1
BLAKE2b-256 3fafd4c81fcbaffeed49c6b99985aab33e3dd44eb542468a1a7171c562032dbe

See more details on using hashes here.

File details

Details for the file tokenizador-1.3-py2.py3-none-any.whl.

File metadata

  • Download URL: tokenizador-1.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 5.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for tokenizador-1.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 cced04f7474e34146ff653c549f85496db6fd89c2b68cca9303fd71a9b06305b
MD5 3d477db6181cb95cfdc1a9c57b04eb7f
BLAKE2b-256 b66c1ef1421d68a681f573c06a9e2c06d0a64ff39423516cd62c0efa234cb280

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page