We finally managed to run the ml_client.py
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								pkgs/azure-storage-file-datalake/default.nix
									
										
									
									
									
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										139
									
								
								pkgs/azure-storage-file-datalake/default.nix
									
										
									
									
									
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{
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  lib,
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  buildPythonPackage,
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  fetchPypi,
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  setuptools,
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  pydash,
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  marshmallow,
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  opencensus,
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  msrest,
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  anyio,
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  azure-common,
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  azure-mgmt-authorization,
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  opencensus-ext-azure,
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  azure-mgmt-core,
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  typing-extensions,
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  azure-appconfiguration,
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  azure-core,
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  six,
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  isodate,
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  azure-keyvault-secrets,
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  cryptography,
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  msrestazure,
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  requests,
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  psutil,
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  opentelemetry-api,
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  azure-eventhub,
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  aiohttp,
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  mlflow,
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  msal,
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  msal-extensions,
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  azure-keyvault-certificates,
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  azure-keyvault-keys,
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  pyyaml,
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  jsonschema,
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  tqdm,
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  strictyaml,
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  colorama,
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  pyjwt,
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  azure-storage-blob,
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  azure-storage-file-share,
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  azure-mgmt-resource,
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  opentelemetry-sdk,
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  opentelemetry-instrumentation,
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  opentelemetry-instrumentation-django,
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  opentelemetry-instrumentation-fastapi,
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  opentelemetry-instrumentation-flask,
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  #opentelemetry-instrumentation-psycopg2,
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  azure-nspkg,
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  azure-mgmt-nspkg,
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  websocket-client,
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  avro,
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  uamqp,
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  yarl,
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  azure-identity,
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  openai,
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  dnspython,
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  numpy,
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  jsonpath-ng,
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  python311,
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}:
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buildPythonPackage rec {
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  pname = "azure_storage_file_datalake";
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  version = "12.16.0";
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  format = "wheel";
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  src = fetchPypi {
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    inherit pname version format;
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    sha256 = "sha256-2lfsbPVkC5K70LphR49R5nxjuUhD+nSLO2WZ8a26WDc=";
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    dist = "py3";
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    python = "py3";
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  };
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  nativeBuildInputs = [setuptools];
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  propagatedBuildInputs = [
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    pydash
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    marshmallow
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    opencensus
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    opencensus-ext-azure
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    msrest
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    anyio
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    azure-common
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    azure-mgmt-authorization
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    azure-mgmt-core
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    typing-extensions
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    azure-core
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    six
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    isodate
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    azure-appconfiguration
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    azure-keyvault-secrets
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    cryptography
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    msrestazure
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    requests
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    psutil
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    opentelemetry-api
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    azure-eventhub
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    aiohttp
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    mlflow
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    msal
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    msal-extensions
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    azure-keyvault-certificates
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    azure-keyvault-keys
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    pyyaml
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    jsonschema
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    tqdm
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    strictyaml
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    colorama
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    pyjwt
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    azure-storage-blob
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    azure-storage-file-share
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    azure-mgmt-resource
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    opentelemetry-sdk
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    opentelemetry-instrumentation
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    opentelemetry-instrumentation-django
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    opentelemetry-instrumentation-fastapi
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    opentelemetry-instrumentation-flask
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    #opentelemetry-instrumentation-psycopg2
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    azure-nspkg
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    azure-mgmt-nspkg
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    websocket-client
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    avro
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    uamqp
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    yarl
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    azure-identity
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    openai
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    dnspython
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    numpy
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    jsonpath-ng
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  ];
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  doCheck = false; # Package does not contain tests
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  meta = with lib; {
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    description = "The azureml-mlflow package contains the integration code of AzureML with MLflow. MLflow (https://mlflow.org/) is an open-source platform for tracking machine learning experiments and managing models. You can use MLflow logging APIs with Azure Machine Learning so that metrics and artifacts are logged to your Azure machine learning workspace.";
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    homepage = "https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py";
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    license = licenses.mit;
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    maintainers = with maintainers; [Lillian-Violet];
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  };
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}
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