mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-11-24 14:50:17 +01:00
174 lines
3.2 KiB
Plaintext
174 lines
3.2 KiB
Plaintext
# generated by rye
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# use `rye lock` or `rye sync` to update this lockfile
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#
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# last locked with the following flags:
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# pre: false
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# features: []
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# all-features: false
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# with-sources: false
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# generate-hashes: false
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# universal: false
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-e file:.
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agate==1.12.0
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# via agate-dbf
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# via agate-excel
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# via agate-sql
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# via csvkit
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agate-dbf==0.2.3
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# via csvkit
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agate-excel==0.4.1
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# via csvkit
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agate-sql==0.7.2
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# via csvkit
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asttokens==2.4.1
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# via stack-data
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attrs==24.2.0
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# via cattrs
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# via requests-cache
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babel==2.16.0
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# via agate
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bottleneck==1.4.0
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# via pandas
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cattrs==24.1.2
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# via requests-cache
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certifi==2024.8.30
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# via requests
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charset-normalizer==3.3.2
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# via requests
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colorama==0.4.6
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# via csv-metadata-quality
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country-converter==1.2
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# via csv-metadata-quality
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csvkit==2.0.1
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dbfread==2.0.7
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# via agate-dbf
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decorator==5.1.1
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# via ipython
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et-xmlfile==1.1.0
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# via openpyxl
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executing==2.1.0
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# via stack-data
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ftfy==6.2.3
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# via csv-metadata-quality
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greenlet==3.1.1
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# via sqlalchemy
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idna==3.10
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# via requests
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iniconfig==2.0.0
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# via pytest
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ipython==8.27.0
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isodate==0.6.1
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# via agate
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isort==5.13.2
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jedi==0.19.1
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# via ipython
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leather==0.4.0
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# via agate
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llvmlite==0.43.0
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# via numba
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markdown-it-py==3.0.0
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# via rich
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matplotlib-inline==0.1.7
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# via ipython
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mdurl==0.1.2
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# via markdown-it-py
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numba==0.60.0
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# via pandas
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numexpr==2.10.1
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# via pandas
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numpy==2.0.2
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# via bottleneck
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# via numba
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# via numexpr
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# via pandas
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# via py3langid
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# via pyarrow
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olefile==0.47
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# via agate-excel
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openpyxl==3.1.5
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# via agate-excel
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# via csvkit
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packaging==24.1
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# via pytest
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pandas==2.2.3
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# via country-converter
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# via csv-metadata-quality
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parsedatetime==2.6
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# via agate
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parso==0.8.4
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# via jedi
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pexpect==4.9.0
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# via ipython
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platformdirs==4.3.6
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# via requests-cache
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pluggy==1.5.0
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# via pytest
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pprintpp==0.4.0
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# via pytest-clarity
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prompt-toolkit==3.0.48
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# via ipython
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ptyprocess==0.7.0
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# via pexpect
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pure-eval==0.2.3
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# via stack-data
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py3langid==0.3.0
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# via csv-metadata-quality
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pyarrow==17.0.0
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# via pandas
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pycountry==24.6.1
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# via csv-metadata-quality
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pygments==2.18.0
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# via ipython
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# via rich
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pytest==8.3.3
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# via pytest-clarity
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pytest-clarity==1.0.1
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python-dateutil==2.9.0.post0
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# via pandas
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python-slugify==8.0.4
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# via agate
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python-stdnum==1.20
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# via csv-metadata-quality
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pytimeparse==1.1.8
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# via agate
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pytz==2024.2
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# via pandas
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requests==2.32.3
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# via csv-metadata-quality
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# via requests-cache
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requests-cache==1.2.1
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# via csv-metadata-quality
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rich==13.8.1
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# via pytest-clarity
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six==1.16.0
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# via asttokens
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# via isodate
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# via python-dateutil
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# via url-normalize
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sqlalchemy==2.0.35
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# via agate-sql
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# via csvkit
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stack-data==0.6.3
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# via ipython
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text-unidecode==1.3
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# via python-slugify
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traitlets==5.14.3
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# via ipython
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# via matplotlib-inline
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typing-extensions==4.12.2
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# via sqlalchemy
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tzdata==2024.2
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# via pandas
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url-normalize==1.4.3
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# via requests-cache
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urllib3==2.2.3
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# via requests
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# via requests-cache
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wcwidth==0.2.13
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# via ftfy
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# via prompt-toolkit
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xlrd==2.0.1
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# via agate-excel
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# via csvkit
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