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🤗 AutoTrain Advanced
https://huggingface.co/autotrain
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[BUG] pip's dependency resolver does not currently take into account all the packages that are installed #479

Closed matthewfarant closed 8 months ago

matthewfarant commented 9 months ago

Prerequisites

Backend

Colab

Interface Used

UI

CLI Command

No response

UI Screenshots & Parameters

image

Error Logs

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. lida 0.0.10 requires kaleido, which is not installed. llmx 0.0.15a0 requires cohere, which is not installed. llmx 0.0.15a0 requires openai, which is not installed. tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 4.23.4 which is incompatible. tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.9.0 which is incompatible.

Additional Information

No response

Arthur-All commented 9 months ago

Having the same issue...

Filarh commented 9 months ago

Don't waste your time, the dev will just mark this as closed, just check other issues and see yourself

abhishekkrthakur commented 9 months ago

its a non issue. @Filarh please keep your opinion to yourself. if you have a lot of time, why dont you make a pr to fix this instead?

simonushie commented 9 months ago

@abhishekkrthakur please ignore @Filarh

Prerequisites I have read the documentation. I have checked other issues for similar problems.

Backend Colab

Interface Used UI

please i am experiencing the exact same problem as @matthewfarant ,please how can one find the "install_logs.txt" from the command !pip install -U autotrain-advanced > install_logs.txt, so that i can install the other dependencies myself

simonushie commented 9 months ago

@abhishekkrthakur please ignore @Filarh

Prerequisites I have read the documentation. I have checked other issues for similar problems.

Backend Colab

Interface Used UI

please i am experiencing the exact same problem as @matthewfarant ,please how can one find the "install_logs.txt" from the command !pip install -U autotrain-advanced > install_logs.txt, so that i can install the other dependencies myself

so for anyone else having this issue (or the better term is confusion) the install_logs.txt file is autogenerated by collab at your root directory, click 'file" tab in collab and you will see it there, after the installation is complete , it just contains the terminal output of the installation process, this was mine:

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Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1.0->tyro>=0.5.11->trl==0.7.4->autotrain-advanced) (2.16.1)
Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate==0.26.1->autotrain-advanced) (1.3.0)
Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=11.1.0->tyro>=0.5.11->trl==0.7.4->autotrain-advanced) (0.1.2)
Building wheels for collected packages: ipadic, rouge-score, sacremoses, ffmpy
  Building wheel for ipadic (setup.py): started
  Building wheel for ipadic (setup.py): finished with status 'done'
  Created wheel for ipadic: filename=ipadic-1.0.0-py3-none-any.whl size=13556704 sha256=aebdc264a30e38e4dcda1bf1619d01c3ec3db9217effac40134e6712c5d7bce2
  Stored in directory: /root/.cache/pip/wheels/5b/ea/e3/2f6e0860a327daba3b030853fce4483ed37468bbf1101c59c3
  Building wheel for rouge-score (setup.py): started
  Building wheel for rouge-score (setup.py): finished with status 'done'
  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24933 sha256=b08576d2c1a7734e623a9cb490c1d8b5d9d58e24cb07fb9360afaf8507cc0105
  Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
  Building wheel for sacremoses (setup.py): started
  Building wheel for sacremoses (setup.py): finished with status 'done'
  Created wheel for sacremoses: filename=sacremoses-0.0.53-py3-none-any.whl size=895239 sha256=06dd9429d781e6a36206acd6bd8b2b3273cf68c7003b5f5b6ed94ad07d025fe4
  Stored in directory: /root/.cache/pip/wheels/00/24/97/a2ea5324f36bc626e1ea0267f33db6aa80d157ee977e9e42fb
  Building wheel for ffmpy (setup.py): started
  Building wheel for ffmpy (setup.py): finished with status 'done'
  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=e37af419a8bf144d1e10dd1d8cda6842da1441891e87a5e9b35dc6c87f47cc6a
  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf
Successfully built ipadic rouge-score sacremoses ffmpy
Installing collected packages: texttable, pydub, ipadic, fuzzywuzzy, ffmpy, brotli, werkzeug, websockets, types-python-dateutil, tqdm, shtab, semantic-version, rapidfuzz, pyzstd, python-multipart, pyppmd, pynvml, pyngrok, pydantic-core, pycryptodomex, pybcj, protobuf, Pillow, packaging, orjson, multivolumefile, Mako, loguru, joblib, inflate64, hf-transfer, h11, einops, docstring-parser, dill, colorlog, cmaes, aiofiles, xgboost, uvicorn, tiktoken, starlette, scikit-learn, sacremoses, responses, pydantic, py7zr, multiprocess, jiwer, httpcore, bitsandbytes, arrow, alembic, tyro, rouge-score, optuna, invisible-watermark, httpx, fastapi, diffusers, codecarbon, accelerate, transformers, gradio-client, datasets, trl, peft, gradio, evaluate, autotrain-advanced
  Attempting uninstall: werkzeug
    Found existing installation: Werkzeug 3.0.1
    Uninstalling Werkzeug-3.0.1:
      Successfully uninstalled Werkzeug-3.0.1
  Attempting uninstall: tqdm
    Found existing installation: tqdm 4.66.1
    Uninstalling tqdm-4.66.1:
      Successfully uninstalled tqdm-4.66.1
  Attempting uninstall: pydantic-core
    Found existing installation: pydantic_core 2.16.2
    Uninstalling pydantic_core-2.16.2:
      Successfully uninstalled pydantic_core-2.16.2
  Attempting uninstall: protobuf
    Found existing installation: protobuf 3.20.3
    Uninstalling protobuf-3.20.3:
      Successfully uninstalled protobuf-3.20.3
  Attempting uninstall: Pillow
    Found existing installation: Pillow 9.4.0
    Uninstalling Pillow-9.4.0:
      Successfully uninstalled Pillow-9.4.0
  Attempting uninstall: packaging
    Found existing installation: packaging 23.2
    Uninstalling packaging-23.2:
      Successfully uninstalled packaging-23.2
  Attempting uninstall: joblib
    Found existing installation: joblib 1.3.2
    Uninstalling joblib-1.3.2:
      Successfully uninstalled joblib-1.3.2
  Attempting uninstall: xgboost
    Found existing installation: xgboost 2.0.3
    Uninstalling xgboost-2.0.3:
      Successfully uninstalled xgboost-2.0.3
  Attempting uninstall: scikit-learn
    Found existing installation: scikit-learn 1.2.2
    Uninstalling scikit-learn-1.2.2:
      Successfully uninstalled scikit-learn-1.2.2
  Attempting uninstall: pydantic
    Found existing installation: pydantic 2.6.1
    Uninstalling pydantic-2.6.1:
      Successfully uninstalled pydantic-2.6.1
  Attempting uninstall: transformers
    Found existing installation: transformers 4.35.2
    Uninstalling transformers-4.35.2:
      Successfully uninstalled transformers-4.35.2
Successfully installed Mako-1.3.2 Pillow-10.0.0 accelerate-0.26.1 aiofiles-23.2.1 alembic-1.13.1 arrow-1.3.0 autotrain-advanced-0.6.86 bitsandbytes-0.42.0 brotli-1.1.0 cmaes-0.10.0 codecarbon-2.2.3 colorlog-6.8.2 datasets-2.14.7 diffusers-0.21.4 dill-0.3.7 docstring-parser-0.15 einops-0.6.1 evaluate-0.3.0 fastapi-0.104.1 ffmpy-0.3.1 fuzzywuzzy-0.18.0 gradio-3.41.0 gradio-client-0.5.0 h11-0.14.0 hf-transfer-0.1.5 httpcore-1.0.2 httpx-0.26.0 inflate64-1.0.0 invisible-watermark-0.2.0 ipadic-1.0.0 jiwer-3.0.2 joblib-1.3.1 loguru-0.7.0 multiprocess-0.70.15 multivolumefile-0.2.3 optuna-3.3.0 orjson-3.9.13 packaging-23.1 peft-0.8.2 protobuf-4.23.4 py7zr-0.20.6 pybcj-1.0.2 pycryptodomex-3.20.0 pydantic-2.4.2 pydantic-core-2.10.1 pydub-0.25.1 pyngrok-7.0.3 pynvml-11.5.0 pyppmd-1.0.0 python-multipart-0.0.6 pyzstd-0.15.9 rapidfuzz-2.13.7 responses-0.18.0 rouge-score-0.1.2 sacremoses-0.0.53 scikit-learn-1.3.0 semantic-version-2.10.0 shtab-1.6.5 starlette-0.27.0 texttable-1.7.0 tiktoken-0.5.1 tqdm-4.65.0 transformers-4.37.0 trl-0.7.4 types-python-dateutil-2.8.19.20240106 tyro-0.7.2 uvicorn-0.22.0 websockets-11.0.3 werkzeug-2.3.6 xgboost-1.7.6

which shows that actually nothing went wrong, this issue can be regarded as just a warning and is truly a non issue

github-actions[bot] commented 8 months ago

This issue is stale because it has been open for 15 days with no activity.

github-actions[bot] commented 8 months ago

This issue was closed because it has been inactive for 2 days since being marked as stale.