Error when trying to import !pip3 install -Uqq fastkaggle in Kaggle

Part 1 2022
1

I ran this command on my local machine and it ran successfully

# install fastkaggle if not available
try: import fastkaggle
except ModuleNotFoundError:
    !pip3 install -Uq fastkaggle

from fastkaggle import *

However, when I pushed the notebook to kaggle, and tried submitting, the kaggle runtime fails when performing installing with error:

WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by ‘NewConnectionError(’<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7a500d721660>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution’)‘: /simple/fastkaggle/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by ‘NewConnectionError(’<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7a500d721990>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution’)‘: /simple/fastkaggle/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by ‘NewConnectionError(’<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7a500d721c30>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution’)‘: /simple/fastkaggle/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by ‘NewConnectionError(’<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7a500d721de0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution’)‘: /simple/fastkaggle/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by ‘NewConnectionError(’<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7a500d721f90>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution’)': /simple/fastkaggle/
ERROR: Could not find a version that satisfies the requirement fastkaggle (from versions: none)
ERROR: No matching distribution found for fastkaggle

Can anyone pls help me, on why this isn’t working in Kaggle environment ?

Note: I am trying to make my first submission to Kaggle today, so excuse me if this is a silly question, a noob here :sweat_smile:

2

Skipping this step for Kaggle notebooks work. But still wondering, why would the installation of library failed ?

import os
isKaggleEnv = os.environ.get('KAGGLE_KERNEL_RUN_TYPE', '')

if not isKaggleEnv:
    try: import fastkaggle
    except ModuleNotFoundError:
        !pip install -Uq fastkaggle

    from fastkaggle import *
3

I’m running into the same issue, but it’s a module conflict issue. When I skip the upgrade, the module has deprecated the API being used.

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.
tensorflow-io 0.21.0 requires tensorflow-io-gcs-filesystem==0.21.0, which is not installed.
explainable-ai-sdk 1.3.2 requires xai-image-widget, which is not installed.
dask-cudf 21.10.1 requires cupy-cuda114, which is not installed.
tensorflow 2.6.2 requires numpy~=1.19.2, but you have numpy 1.20.3 which is incompatible.
tensorflow 2.6.2 requires six~=1.15.0, but you have six 1.16.0 which is incompatible.
tensorflow 2.6.2 requires typing-extensions~=3.7.4, but you have typing-extensions 3.10.0.2 which is incompatible.
tensorflow 2.6.2 requires wrapt~=1.12.1, but you have wrapt 1.13.3 which is incompatible.
tensorflow-transform 1.5.0 requires absl-py<0.13,>=0.9, but you have absl-py 0.15.0 which is incompatible.
tensorflow-transform 1.5.0 requires numpy<1.20,>=1.16, but you have numpy 1.20.3 which is incompatible.
tensorflow-transform 1.5.0 requires pyarrow<6,>=1, but you have pyarrow 6.0.1 which is incompatible.
tensorflow-transform 1.5.0 requires tensorflow!=2.0.,!=2.1.,!=2.2.,!=2.3.,!=2.4.,!=2.5.,!=2.6.*,<2.8,>=1.15.2, but you have tensorflow 2.6.2 which is incompatible.
tensorflow-serving-api 2.7.0 requires tensorflow<3,>=2.7.0, but you have tensorflow 2.6.2 which is incompatible.
flake8 4.0.1 requires importlib-metadata<4.3; python_version < “3.8”, but you have importlib-metadata 4.11.3 which is incompatible.
featuretools 1.6.0 requires numpy>=1.21.0, but you have numpy 1.20.3 which is incompatible.
dask-cudf 21.10.1 requires dask==2021.09.1, but you have dask 2022.2.0 which is incompatible.
dask-cudf 21.10.1 requires distributed==2021.09.1, but you have distributed 2022.2.0 which is incompatible.
apache-beam 2.34.0 requires dill<0.3.2,>=0.3.1.1, but you have dill 0.3.4 which is incompatible.
apache-beam 2.34.0 requires httplib2<0.20.0,>=0.8, but you have httplib2 0.20.2 which is incompatible.
apache-beam 2.34.0 requires pyarrow<6.0.0,>=0.15.1, but you have pyarrow 6.0.1 which is incompatible.
aioitertools 0.10.0 requires typing_extensions>=4.0; python_version < “3.10”, but you have typing-extensions 3.10.0.2 which is incompatible.
aiobotocore 2.1.2 requires botocore<1.23.25,>=1.23.24, but you have botocore 1.24.20 which is incompatible.

4

My bad! It’s complaining about being deprecated, but exercises appear to be running. I missed the url due to the warnings.

5

Hi, is there anyone else facing this same issue? I still can not install fastkaggle in kaggle notebook and it is not already installed.