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[Bug]: Colab quickstart.ipynb errors #331

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mhornsby opened this issue Jun 18, 2024 · 2 comments
Closed

[Bug]: Colab quickstart.ipynb errors #331

mhornsby opened this issue Jun 18, 2024 · 2 comments
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@mhornsby
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What happened?

!pip install fastdup -Uq fails

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.8/83.8 MB 11.2 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.6/4.6 MB 44.5 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.4/58.4 kB 6.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 189.2/189.2 kB 18.7 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.9/75.9 kB 8.4 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.2/133.2 kB 14.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.0/298.0 kB 30.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.3/88.3 kB 9.6 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.1/17.1 MB 44.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 51.5 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 28.4/28.4 MB 31.2 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.1/47.1 kB 5.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 38.9/38.9 MB 9.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 83.3 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.8/62.8 kB 6.4 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.8/10.8 MB 94.5 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 264.6/264.6 kB 24.7 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.5/821.5 kB 56.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 67.0/67.0 kB 8.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.3/78.3 kB 7.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.8/60.8 kB 6.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.5/7.5 MB 101.2 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.9/77.9 kB 5.7 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.9/143.9 kB 15.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.2/57.2 kB 5.5 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 7.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.5/7.5 MB 92.6 MB/s eta 0:00:00
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.
ipython 7.34.0 requires jedi>=0.16, which is not installed.
torch 2.3.0+cu121 requires nvidia-cublas-cu12==12.1.3.1; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cuda-cupti-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cuda-runtime-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cudnn-cu12==8.9.2.26; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cufft-cu12==11.0.2.54; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-curand-cu12==10.3.2.106; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cusolver-cu12==11.4.5.107; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cusparse-cu12==12.1.0.106; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-nccl-cu12==2.20.5; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-nvtx-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
chex 0.1.86 requires numpy>=1.24.1, but you have numpy 1.23.5 which is incompatible.
cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 12.0.0 which is incompatible.
google-colab 1.0.0 requires google-auth==2.27.0, but you have google-auth 2.29.0 which is incompatible.
google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.28.1 which is incompatible.
pandas-stubs 2.0.3.230814 requires numpy>=1.25.0; python_version >= "3.9", but you have numpy 1.23.5 which is incompatible.
yfinance 0.2.40 requires requests>=2.31, but you have requests 2.28.1 which is incompatible.

What did you expect to see?

no error

What version of fastdup were you runnning on?

colab

What version of Python were you running on?

Python 3.10, Other

Operating System

colab

Reproduction steps

First step of the colab

!pip install fastdup -Uq

Relevant log output

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.5/7.5 MB 92.6 MB/s eta 0:00:00
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.
ipython 7.34.0 requires jedi>=0.16, which is not installed.
torch 2.3.0+cu121 requires nvidia-cublas-cu12==12.1.3.1; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cuda-cupti-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cuda-runtime-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cudnn-cu12==8.9.2.26; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cufft-cu12==11.0.2.54; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-curand-cu12==10.3.2.106; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cusolver-cu12==11.4.5.107; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-cusparse-cu12==12.1.0.106; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-nccl-cu12==2.20.5; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
torch 2.3.0+cu121 requires nvidia-nvtx-cu12==12.1.105; platform_system == "Linux" and platform_machine == "x86_64", which is not installed.
chex 0.1.86 requires numpy>=1.24.1, but you have numpy 1.23.5 which is incompatible.
cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 12.0.0 which is incompatible.
google-colab 1.0.0 requires google-auth==2.27.0, but you have google-auth 2.29.0 which is incompatible.
google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.28.1 which is incompatible.
pandas-stubs 2.0.3.230814 requires numpy>=1.25.0; python_version >= "3.9", but you have numpy 1.23.5 which is incompatible.
yfinance 0.2.40 requires requests>=2.31, but you have requests 2.28.1 which is incompatible.

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@mhornsby mhornsby added the bug Something isn't working label Jun 18, 2024
@dnth dnth self-assigned this Jun 18, 2024
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dnth commented Jun 18, 2024

Hi, what happens if you continue to run the next cell and print the fastdup version? It should run without issues

@mhornsby
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Thank you ! - works

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