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Requirements.txt Causing Long Install Time in Lab1 #15

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forrestmckee opened this issue Jan 31, 2023 · 4 comments
Open

Requirements.txt Causing Long Install Time in Lab1 #15

forrestmckee opened this issue Jan 31, 2023 · 4 comments

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@forrestmckee
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In Lab1, the lack of versioning in requirements.txt seems to be causing pip to try and resolve dependencies. This results in around a 60 minute action vs the ~5 minute action in the first lab's walkthrough. Is there a workaround?

Below is the output from my action:

Run python -m pip install --upgrade pip
Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.16/x64/lib/python3.8/site-packages (22.3.1)
Collecting pip
  Downloading pip-23.0-py3-none-any.whl (2.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 29.0 MB/s eta 0:00:00
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 22.3.1
    Uninstalling pip-22.3.1:
      Successfully uninstalled pip-22.3.1
Successfully installed pip-23.0
Collecting faker
  Downloading Faker-16.6.1-py3-none-any.whl (1.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 30.3 MB/s eta 0:00:00
Collecting parsedatetime
  Downloading parsedatetime-2.6-py3-none-any.whl (42 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.5/42.5 kB 10.1 MB/s eta 0:00:00
Collecting hopsworks
  Downloading hopsworks-3.0.5.tar.gz (35 kB)
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting nbconvert
  Downloading nbconvert-7.2.9-py3-none-any.whl (274 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 274.9/274.9 kB 51.7 MB/s eta 0:00:00
Collecting scikit-learn
  Downloading scikit_learn-1.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.8/9.8 MB 114.4 MB/s eta 0:00:00
Collecting plotly
  Downloading plotly-5.13.0-py2.py3-none-any.whl (15.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.2/15.2 MB 97.5 MB/s eta 0:00:00
Collecting Pillow
  Downloading Pillow-9.4.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 91.9 MB/s eta 0:00:00
Collecting seaborn
  Downloading seaborn-0.12.2-py3-none-any.whl (293 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 293.3/293.3 kB 60.8 MB/s eta 0:00:00
Collecting dataframe-image
  Downloading dataframe_image-0.1.5-py3-none-any.whl (6.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.6/6.6 MB 117.5 MB/s eta 0:00:00
Collecting streamlit_folium
  Downloading streamlit_folium-0.11.0-py3-none-any.whl (423 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 423.2/423.2 kB 72.3 MB/s eta 0:00:00
Collecting python-dateutil>=2.4
  Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 kB 53.5 MB/s eta 0:00:00
Collecting hsfs[python]<3.1.0,>=3.0.0
  Downloading hsfs-3.0.5.tar.gz (120 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 120.6/120.6 kB 35.7 MB/s eta 0:00:00
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting hsml<3.1.0,>=3.0.0
  Downloading hsml-3.0.3.tar.gz (50 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 kB 14.5 MB/s eta 0:00:00
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting pyhumps==1.6.1
  Downloading pyhumps-1.6.1-py3-none-any.whl (5.0 kB)
Collecting requests
  Downloading requests-2.28.2-py3-none-any.whl (62 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.8/62.8 kB 16.4 MB/s eta 0:00:00
Collecting furl
  Downloading furl-2.1.3-py2.py3-none-any.whl (20 kB)
Collecting boto3
  Downloading boto3-1.26.60-py3-none-any.whl (132 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 132.7/132.7 kB 38.4 MB/s eta 0:00:00
Collecting pyjks
  Downloading pyjks-20.0.0-py2.py3-none-any.whl (45 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.3/45.3 kB 12.3 MB/s eta 0:00:00
Collecting mock
  Downloading mock-5.0.1-py3-none-any.whl (30 kB)
Collecting tqdm
  Downloading tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.5/78.5 kB 22.2 MB/s eta 0:00:00
Collecting importlib-metadata>=3.6
  Downloading importlib_metadata-6.0.0-py3-none-any.whl (21 kB)
Collecting jupyter-core>=4.7
  Downloading jupyter_core-5.2.0-py3-none-any.whl (94 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 94.3/94.3 kB 23.1 MB/s eta 0:00:00
Collecting pygments>=2.4.1
  Downloading Pygments-2.14.0-py3-none-any.whl (1.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 91.2 MB/s eta 0:00:00
Collecting nbclient>=0.5.0
  Downloading nbclient-0.7.2-py3-none-any.whl (71 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 72.0/72.0 kB 21.1 MB/s eta 0:00:00
Collecting nbformat>=5.1
  Downloading nbformat-5.7.3-py3-none-any.whl (78 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.1/78.1 kB 21.7 MB/s eta 0:00:00
Collecting beautifulsoup4
  Downloading beautifulsoup4-4.11.2-py3-none-any.whl (129 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 129.4/129.4 kB 36.1 MB/s eta 0:00:00
Collecting markupsafe>=2.0
  Downloading MarkupSafe-2.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Collecting mistune<3,>=2.0.3
  Downloading mistune-2.0.4-py2.py3-none-any.whl (24 kB)
Collecting tinycss2
  Downloading tinycss2-1.2.1-py3-none-any.whl (21 kB)
Collecting pandocfilters>=1.4.1
  Downloading pandocfilters-1.5.0-py2.py3-none-any.whl (8.7 kB)
Collecting packaging
  Downloading packaging-23.0-py3-none-any.whl (42 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.7/42.7 kB 13.0 MB/s eta 0:00:00
Collecting jinja2>=3.0
  Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.1/133.1 kB 35.9 MB/s eta 0:00:00
Collecting traitlets>=5.0
  Downloading traitlets-5.9.0-py3-none-any.whl (117 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.4/117.4 kB 34.1 MB/s eta 0:00:00
Collecting jupyterlab-pygments
  Downloading jupyterlab_pygments-0.2.2-py2.py3-none-any.whl (21 kB)
Collecting bleach
  Downloading bleach-6.0.0-py3-none-any.whl (162 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 162.5/162.5 kB 44.8 MB/s eta 0:00:00
Collecting defusedxml
  Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB)
Collecting threadpoolctl>=2.0.0
  Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting numpy>=1.17.3
  Downloading numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 87.6 MB/s eta 0:00:00
Collecting scipy>=1.3.2
  Downloading scipy-1.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 62.2 MB/s eta 0:00:00
Collecting joblib>=1.1.1
  Downloading joblib-1.2.0-py3-none-any.whl (297 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.0/298.0 kB 64.2 MB/s eta 0:00:00
Collecting tenacity>=6.2.0
  Downloading tenacity-8.1.0-py3-none-any.whl (23 kB)
Collecting pandas>=0.25
  Downloading pandas-1.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.2/12.2 MB 107.0 MB/s eta 0:00:00
Collecting matplotlib!=3.6.1,>=3.1
  Downloading matplotlib-3.6.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.4/9.4 MB 94.2 MB/s eta 0:00:00
Collecting aiohttp
  Downloading aiohttp-3.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.0/1.0 MB 94.9 MB/s eta 0:00:00
Collecting streamlit>=1.2
  Downloading streamlit-1.17.0-py2.py3-none-any.whl (9.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.3/9.3 MB 109.3 MB/s eta 0:00:00
Collecting folium>=0.13
  Downloading folium-0.14.0-py2.py3-none-any.whl (102 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 102.3/102.3 kB 34.1 MB/s eta 0:00:00
Collecting branca
  Downloading branca-0.6.0-py3-none-any.whl (24 kB)
Collecting avro==1.10.2
  Downloading avro-1.10.2.tar.gz (68 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 68.2/68.2 kB 20.1 MB/s eta 0:00:00
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting sqlalchemy
  Downloading SQLAlchemy-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.8/2.8 MB 108.5 MB/s eta 0:00:00
Collecting PyMySQL[rsa]
  Downloading PyMySQL-1.0.2-py3-none-any.whl (43 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 43.8/43.8 kB 15.9 MB/s eta 0:00:00
Collecting great_expectations==0.14.12
  Downloading great_expectations-0.14.12-py3-none-any.whl (4.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.9/4.9 MB 115.3 MB/s eta 0:00:00
Collecting markupsafe>=2.0
  Downloading MarkupSafe-2.0.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (30 kB)
Collecting pyhopshive[thrift]
  Downloading PyHopsHive-0.6.4.1.dev0.tar.gz (42 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.9/42.9 kB 12.4 MB/s eta 0:00:00
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting pyarrow
  Downloading pyarrow-11.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35.0 MB)
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Collecting confluent-kafka==1.8.2
  Downloading confluent_kafka-1.8.2-cp38-cp38-manylinux2010_x86_64.whl (2.8 MB)
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Collecting fastavro==1.4.11
  Downloading fastavro-1.4.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB)
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Collecting ipywidgets>=7.5.1
  Downloading ipywidgets-8.0.4-py3-none-any.whl (137 kB)
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Collecting tzlocal>=1.2
  Downloading tzlocal-4.2-py3-none-any.whl (19 kB)
Collecting typing-extensions>=3.10.0.0
  Downloading typing_extensions-4.4.0-py3-none-any.whl (26 kB)
Collecting jinja2>=3.0
  Downloading Jinja2-3.0.3-py3-none-any.whl (133 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.6/133.6 kB 23.9 MB/s eta 0:00:00
Collecting altair<5,>=4.0.0
  Downloading altair-4.2.2-py3-none-any.whl (813 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 813.6/813.6 kB 96.3 MB/s eta 0:00:00
Collecting cryptography>=3.2
  Downloading cryptography-39.0.0-cp36-abi3-manylinux_2_28_x86_64.whl (4.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.2/4.2 MB 110.3 MB/s eta 0:00:00
Collecting jsonschema>=2.5.1
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Collecting greenlet!=0.4.17
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Collecting jupyterlab-widgets~=3.0
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Collecting debugpy>=1.0
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Collecting matplotlib-inline>=0.1
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Collecting jedi>=0.16
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Collecting prompt-toolkit<3.1.0,>=3.0.30
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Collecting pickleshare
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Collecting ptyprocess>=0.5
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Installing collected packages: webencodings, wcwidth, twofish, pytz, pyhumps, pyasn1, pure-eval, ptyprocess, pickleshare, parsedatetime, mistune, javaobj-py3, fastjsonschema, executing, confluent-kafka, backcall, zipp, widgetsnbextension, watchdog, urllib3, tzdata, typing-extensions, traitlets, tqdm, tornado, toolz, toml, tinycss2, threadpoolctl, termcolor, tenacity, soupsieve, smmap, six, semver, ruamel.yaml.clib, pyzmq, pyrsistent, pyparsing, PyMySQL, pympler, pygments, pycryptodomex, pycparser, pyasn1-modules, psutil, protobuf, prompt-toolkit, platformdirs, pkgutil-resolve-name, Pillow, pexpect, parso, pandocfilters, packaging, numpy, nest-asyncio, multidict, mock, mdurl, markupsafe, lxml, kiwisolver, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, joblib, jmespath, idna, greenlet, future, frozenlist, fonttools, fastavro, entrypoints, defusedxml, decorator, debugpy, cycler, colorama, Click, charset-normalizer, certifi, cachetools, blinker, backports.zoneinfo, avro, attrs, async-timeout, yarl, validators, thrift, sqlalchemy, scipy, ruamel.yaml, requests, pytz-deprecation-shim, python-dateutil, pyjks, pyarrow, plotly, orderedmultidict, matplotlib-inline, markdown-it-py, jupyter-core, jsonpatch, jinja2, jedi, importlib-resources, importlib-metadata, gitdb, contourpy, comm, cffi, bleach, beautifulsoup4, asttokens, aiosignal, tzlocal, stack-data, scikit-learn, rich, pyhopshive, pydeck, pandas, matplotlib, jupyter-client, jsonschema, gitpython, furl, faker, cryptography, branca, botocore, aiohttp, seaborn, s3transfer, nbformat, ipython, folium, altair, streamlit, nbclient, ipykernel, boto3, streamlit_folium, nbconvert, ipywidgets, hsml, great_expectations, dataframe-image, hsfs, hopsworks
  DEPRECATION: twofish is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep[517](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:518)' option. Discussion can be found at https://github.com/pypa/pip/issues/8[559](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:560)
  Running setup.py install for twofish: started
  Running setup.py install for twofish: finished with status 'done'
  DEPRECATION: future is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep[517](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:518)' option. Discussion can be found at https://github.com/pypa/pip/issues/8[559](https://github.com/forrestmckee/serverless-ml-course/actions/runs/4057809722/jobs/6984005158#step:4:560)
  Running setup.py install for future: started
  Running setup.py install for future: finished with status 'done'
  DEPRECATION: avro is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for avro: started
  Running setup.py install for avro: finished with status 'done'
  DEPRECATION: validators is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for validators: started
  Running setup.py install for validators: finished with status 'done'
  DEPRECATION: thrift is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for thrift: started
  Running setup.py install for thrift: finished with status 'done'
  DEPRECATION: pyhopshive is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for pyhopshive: started
  Running setup.py install for pyhopshive: finished with status 'done'
  DEPRECATION: hsml is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for hsml: started
  Running setup.py install for hsml: finished with status 'done'
  DEPRECATION: hsfs is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for hsfs: started
  Running setup.py install for hsfs: finished with status 'done'
  DEPRECATION: hopsworks is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for hopsworks: started
  Running setup.py install for hopsworks: finished with status 'done'
Successfully installed Click-8.1.3 Pillow-9.4.0 PyMySQL-1.0.2 aiohttp-3.8.3 aiosignal-1.3.1 altair-4.2.2 asttokens-2.2.1 async-timeout-4.0.2 attrs-22.2.0 avro-1.10.2 backcall-0.2.0 backports.zoneinfo-0.2.1 beautifulsoup4-4.11.2 bleach-6.0.0 blinker-1.5 boto3-1.26.60 botocore-1.29.61 branca-0.6.0 cachetools-5.3.0 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-2.1.1 colorama-0.4.6 comm-0.1.2 confluent-kafka-1.8.2 contourpy-1.0.7 cryptography-39.0.0 cycler-0.11.0 dataframe-image-0.1.5 debugpy-1.6.6 decorator-5.1.1 defusedxml-0.7.1 entrypoints-0.4 executing-1.2.0 faker-16.6.1 fastavro-1.4.11 fastjsonschema-2.16.2 folium-0.14.0 fonttools-4.38.0 frozenlist-1.3.3 furl-2.1.3 future-0.18.3 gitdb-4.0.10 gitpython-3.1.30 great_expectations-0.14.12 greenlet-2.0.2 hopsworks-3.0.5 hsfs-3.0.5 hsml-3.0.3 idna-3.4 importlib-metadata-6.0.0 importlib-resources-5.10.2 ipykernel-6.20.2 ipython-8.9.0 ipywidgets-8.0.4 javaobj-py3-0.4.3 jedi-0.18.2 jinja2-3.0.3 jmespath-1.0.1 joblib-1.2.0 jsonpatch-1.32 jsonpointer-2.3 jsonschema-4.17.3 jupyter-client-8.0.2 jupyter-core-5.2.0 jupyterlab-pygments-0.2.2 jupyterlab-widgets-3.0.5 kiwisolver-1.4.4 lxml-4.9.2 markdown-it-py-2.1.0 markupsafe-2.0.1 matplotlib-3.6.3 matplotlib-inline-0.1.6 mdurl-0.1.2 mistune-0.8.4 mock-5.0.1 multidict-6.0.4 nbclient-0.7.2 nbconvert-6.5.4 nbformat-5.7.3 nest-asyncio-1.5.6 numpy-1.24.1 orderedmultidict-1.0.1 packaging-23.0 pandas-1.5.3 pandocfilters-1.5.0 parsedatetime-2.6 parso-0.8.3 pexpect-4.8.0 pickleshare-0.7.5 pkgutil-resolve-name-1.3.10 platformdirs-2.6.2 plotly-5.13.0 prompt-toolkit-3.0.36 protobuf-3.20.3 psutil-5.9.4 ptyprocess-0.7.0 pure-eval-0.2.2 pyarrow-11.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pycryptodomex-3.17 pydeck-0.8.0 pygments-2.14.0 pyhopshive-0.6.4.1.dev0 pyhumps-1.6.1 pyjks-20.0.0 pympler-1.0.1 pyparsing-2.4.7 pyrsistent-0.19.3 python-dateutil-2.8.2 pytz-2022.7.1 pytz-deprecation-shim-0.1.0.post0 pyzmq-25.0.0 requests-2.28.2 rich-13.3.1 ruamel.yaml-0.17.17 ruamel.yaml.clib-0.2.7 s3transfer-0.6.0 scikit-learn-1.2.1 scipy-1.10.0 seaborn-0.12.2 semver-2.13.0 six-1.16.0 smmap-5.0.0 soupsieve-2.3.2.post1 sqlalchemy-2.0.0 stack-data-0.6.2 streamlit-1.17.0 streamlit_folium-0.11.0 tenacity-8.1.0 termcolor-2.2.0 threadpoolctl-3.1.0 thrift-0.16.0 tinycss2-1.2.1 toml-0.10.2 toolz-0.12.0 tornado-6.2 tqdm-4.64.1 traitlets-5.9.0 twofish-0.3.0 typing-extensions-4.4.0 tzdata-2022.7 tzlocal-4.2 urllib3-1.26.14 validators-0.20.0 watchdog-2.2.1 wcwidth-0.2.6 webencodings-0.5.1 widgetsnbextension-4.0.5 yarl-1.8.2 zipp-3.12.0
@Solab5
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Solab5 commented Mar 2, 2023

This happened to me today

@Solab5
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Solab5 commented Mar 5, 2023

I've specified the versions aligning with what I had installed on my working environment, and it has taken me just 7 minutes. You can try that as well

@akimalikhanov
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@Solab5 which versions did you specify? I run the workflow, it trues to install packages for 20 minutes and then it just raises and error
pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000

@Solab5
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Solab5 commented May 4, 2023

Hi I think the versions I used wont pecifically help. But what you will do but I can take you through the steps I actually used. Just get to the requirements.txt file contains the libraries used. Then in your terminal or even notebook can check which version using eg "pip show python" if you want to know the python you used. It will specify the version and then update the requirements.txt file. Do this for all the libraries. Make me know if this works.

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@forrestmckee @Solab5 @akimalikhanov