title: Conda/Pip Environment creation fails with azureml & adlfs/opencensus-ext-azure
body: <p>I am trying to create a local development environment using conda with <code>azureml</code> libraries. Following environment.yml file works fine.</p>
  <pre><code>name: cortixml_azure_env
  channels:
    - conda-forge
    - defaults
  dependencies:
    - python=3.8.3
    - pandas
    - numpy
    - flake8
    - black
    - pip
    - pip:
      - pyarrow
      - pytest
      - rope
      - dask[dataframe,distributed]
      - azure-storage-blob
      - opencensus-ext-azure
      - azureml-core
      - azureml-pipeline-steps
      - azureml-pipeline-core
      - azureml-pipeline
      - azureml-mlflow
      - scikit-learn
      - lightgbm
      - xgboost
  </code></pre>
  <p>But the moment, I add <a href="https://pypi.org/project/adlfs/0.0.9/" rel="nofollow noreferrer">adlfs</a> under pip installable, it get stuck at &quot;Installing pip dependencies:&quot; for hours and finally fails. This happens for <code>opencensus-ext-azure</code> as well.</p>
  <p>Any suggestions?</p>