alanorth/csv-metadata-quality
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mirror of https://github.com/ilri/csv-metadata-quality.git synced 2024-10-18 06:24:16 +02:00
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Remove and re-sync rye requirements

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Seems there is no way to force rye to sync?
This commit is contained in:
Alan Orth 2024-09-26 12:24:24 +03:00
parent 78dc1336d0
commit 2675cd288e
Signed by: alanorth
GPG Key ID: 0FB860CC9C45B1B9
2 changed files with 43 additions and 43 deletions
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56
requirements-dev.lock
View File

@ -10,7 +10,7 @@
# universal: false
-e file:.
agate==1.10.2
agate==1.12.0
# via agate-dbf
# via agate-excel
# via agate-sql
@ -23,16 +23,16 @@ agate-sql==0.7.2
# via csvkit
asttokens==2.4.1
# via stack-data
attrs==23.2.0
attrs==24.2.0
# via cattrs
# via requests-cache
babel==2.15.0
babel==2.16.0
# via agate
bottleneck==1.3.8
bottleneck==1.4.0
# via pandas
cattrs==23.2.3
cattrs==24.1.2
# via requests-cache
certifi==2024.2.2
certifi==2024.8.30
# via requests
charset-normalizer==3.3.2
# via requests
@ -47,17 +47,17 @@ decorator==5.1.1
# via ipython
et-xmlfile==1.1.0
# via openpyxl
executing==2.0.1
executing==2.1.0
# via stack-data
ftfy==6.2.0
ftfy==6.2.3
# via csv-metadata-quality
greenlet==3.0.3
greenlet==3.1.1
# via sqlalchemy
idna==3.7
idna==3.10
# via requests
iniconfig==2.0.0
# via pytest
ipython==8.26.0
ipython==8.27.0
isodate==0.6.1
# via agate
isort==5.13.2
@ -75,9 +75,9 @@ mdurl==0.1.2
# via markdown-it-py
numba==0.60.0
# via pandas
numexpr==2.10.0
numexpr==2.10.1
# via pandas
numpy==2.0.0
numpy==2.0.2
# via bottleneck
# via numba
# via numexpr
@ -86,12 +86,12 @@ numpy==2.0.0
# via pyarrow
olefile==0.47
# via agate-excel
openpyxl==3.1.2
openpyxl==3.1.5
# via agate-excel
# via csvkit
packaging==24.0
packaging==24.1
# via pytest
pandas==2.2.2
pandas==2.2.3
# via country-converter
# via csv-metadata-quality
parsedatetime==2.6
@ -100,28 +100,28 @@ parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
platformdirs==4.2.2
platformdirs==4.3.6
# via requests-cache
pluggy==1.5.0
# via pytest
pprintpp==0.4.0
# via pytest-clarity
prompt-toolkit==3.0.43
prompt-toolkit==3.0.48
# via ipython
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.2
pure-eval==0.2.3
# via stack-data
py3langid==0.3.0
# via csv-metadata-quality
pyarrow==16.1.0
pyarrow==17.0.0
# via pandas
pycountry==24.6.1
# via csv-metadata-quality
pygments==2.18.0
# via ipython
# via rich
pytest==8.3.2
pytest==8.3.3
# via pytest-clarity
pytest-clarity==1.0.1
python-dateutil==2.9.0.post0
@ -132,21 +132,21 @@ python-stdnum==1.20
# via csv-metadata-quality
pytimeparse==1.1.8
# via agate
pytz==2024.1
pytz==2024.2
# via pandas
requests==2.32.2
requests==2.32.3
# via csv-metadata-quality
# via requests-cache
requests-cache==1.2.1
# via csv-metadata-quality
rich==13.7.1
rich==13.8.1
# via pytest-clarity
six==1.16.0
# via asttokens
# via isodate
# via python-dateutil
# via url-normalize
sqlalchemy==2.0.30
sqlalchemy==2.0.35
# via agate-sql
# via csvkit
stack-data==0.6.3
@ -156,13 +156,13 @@ text-unidecode==1.3
traitlets==5.14.3
# via ipython
# via matplotlib-inline
typing-extensions==4.11.0
typing-extensions==4.12.2
# via sqlalchemy
tzdata==2024.1
tzdata==2024.2
# via pandas
url-normalize==1.4.3
# via requests-cache
urllib3==2.2.1
urllib3==2.2.3
# via requests
# via requests-cache
wcwidth==0.2.13

30
requirements.lock
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@ -10,14 +10,14 @@
# universal: false
-e file:.
attrs==23.2.0
attrs==24.2.0
# via cattrs
# via requests-cache
bottleneck==1.3.8
bottleneck==1.4.0
# via pandas
cattrs==23.2.3
cattrs==24.1.2
# via requests-cache
certifi==2024.2.2
certifi==2024.8.30
# via requests
charset-normalizer==3.3.2
# via requests
@ -25,31 +25,31 @@ colorama==0.4.6
# via csv-metadata-quality
country-converter==1.2
# via csv-metadata-quality
ftfy==6.2.0
ftfy==6.2.3
# via csv-metadata-quality
idna==3.7
idna==3.10
# via requests
llvmlite==0.43.0
# via numba
numba==0.60.0
# via pandas
numexpr==2.10.0
numexpr==2.10.1
# via pandas
numpy==2.0.0
numpy==2.0.2
# via bottleneck
# via numba
# via numexpr
# via pandas
# via py3langid
# via pyarrow
pandas==2.2.2
pandas==2.2.3
# via country-converter
# via csv-metadata-quality
platformdirs==4.2.2
platformdirs==4.3.6
# via requests-cache
py3langid==0.3.0
# via csv-metadata-quality
pyarrow==16.1.0
pyarrow==17.0.0
# via pandas
pycountry==24.6.1
# via csv-metadata-quality
@ -57,9 +57,9 @@ python-dateutil==2.9.0.post0
# via pandas
python-stdnum==1.20
# via csv-metadata-quality
pytz==2024.1
pytz==2024.2
# via pandas
requests==2.32.2
requests==2.32.3
# via csv-metadata-quality
# via requests-cache
requests-cache==1.2.1
@ -67,11 +67,11 @@ requests-cache==1.2.1
six==1.16.0
# via python-dateutil
# via url-normalize
tzdata==2024.1
tzdata==2024.2
# via pandas
url-normalize==1.4.3
# via requests-cache
urllib3==2.2.1
urllib3==2.2.3
# via requests
# via requests-cache
wcwidth==0.2.13