csv-metadata-quality/requirements-dev.lock

# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false

-e file:.
agate==1.9.1
    # via agate-dbf
    # via agate-excel
    # via agate-sql
    # via csvkit
agate-dbf==0.2.3
    # via csvkit
agate-excel==0.4.1
    # via csvkit
agate-sql==0.7.2
    # via csvkit
asttokens==2.4.1
    # via stack-data
attrs==23.2.0
    # via cattrs
    # via requests-cache
babel==2.14.0
    # via agate
bottleneck==1.3.8
    # via pandas
cattrs==23.2.3
    # via requests-cache
certifi==2024.2.2
    # via requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via fixit
    # via moreorless
cloudpickle==3.0.0
    # via scalene
colorama==0.4.6
    # via csv-metadata-quality
country-converter==1.2
    # via csv-metadata-quality
csvkit==1.5.0
dbfread==2.0.7
    # via agate-dbf
decorator==5.1.1
    # via ipython
et-xmlfile==1.1.0
    # via openpyxl
executing==2.0.1
    # via stack-data
fixit==2.1.0
ftfy==6.2.0
    # via csv-metadata-quality
greenlet==3.0.3
    # via sqlalchemy
idna==3.7
    # via requests
iniconfig==2.0.0
    # via pytest
ipython==8.23.0
isodate==0.6.1
    # via agate
isort==5.13.2
jedi==0.19.1
    # via ipython
jinja2==3.1.3
    # via scalene
leather==0.4.0
    # via agate
libcst==1.3.1
    # via fixit
llvmlite==0.42.0
    # via numba
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via jinja2
matplotlib-inline==0.1.6
    # via ipython
mdurl==0.1.2
    # via markdown-it-py
moreorless==0.4.0
    # via fixit
numba==0.59.1
    # via pandas
numexpr==2.10.0
    # via pandas
numpy==1.26.4
    # via bottleneck
    # via numba
    # via numexpr
    # via pandas
    # via py3langid
    # via pyarrow
olefile==0.47
    # via agate-excel
openpyxl==3.1.2
    # via agate-excel
    # via csvkit
packaging==24.0
    # via fixit
    # via pytest
pandas==2.2.2
    # via country-converter
    # via csv-metadata-quality
parsedatetime==2.6
    # via agate
parso==0.8.4
    # via jedi
pathspec==0.12.1
    # via trailrunner
pexpect==4.9.0
    # via ipython
platformdirs==4.2.0
    # via requests-cache
pluggy==1.4.0
    # via pytest
pprintpp==0.4.0
    # via pytest-clarity
prompt-toolkit==3.0.43
    # via ipython
psutil==5.9.8
    # via scalene
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.2
    # via stack-data
py3langid==0.2.2
    # via csv-metadata-quality
pyarrow==15.0.2
    # via pandas
pycountry==23.12.11
    # via csv-metadata-quality
pygments==2.17.2
    # via ipython
    # via rich
pynvml==11.5.0
    # via scalene
pytest==8.1.1
    # via pytest-clarity
pytest-clarity==1.0.1
python-dateutil==2.9.0.post0
    # via pandas
python-slugify==8.0.4
    # via agate
python-stdnum==1.20
    # via csv-metadata-quality
pytimeparse==1.1.8
    # via agate
pytz==2024.1
    # via pandas
pyyaml==6.0.1
    # via libcst
requests==2.31.0
    # via csv-metadata-quality
    # via requests-cache
requests-cache==1.2.0
    # via csv-metadata-quality
rich==13.7.1
    # via pytest-clarity
    # via scalene
scalene==1.5.38
six==1.16.0
    # via asttokens
    # via isodate
    # via python-dateutil
    # via url-normalize
sqlalchemy==2.0.29
    # via agate-sql
    # via csvkit
stack-data==0.6.3
    # via ipython
text-unidecode==1.3
    # via python-slugify
trailrunner==1.4.0
    # via fixit
traitlets==5.14.2
    # via ipython
    # via matplotlib-inline
typing-extensions==4.11.0
    # via sqlalchemy
tzdata==2024.1
    # via pandas
url-normalize==1.4.3
    # via requests-cache
urllib3==2.2.1
    # via requests
    # via requests-cache
wcwidth==0.2.13
    # via ftfy
    # via prompt-toolkit
wheel==0.43.0
    # via scalene
xlrd==2.0.1
    # via agate-excel
    # via csvkit