update samples from Release-69 as a part of 1.23.0 SDK stable release

how-to-use-azureml/automated-machine-learning/automl_env.yml

@@ -26,3 +26,4 @@ dependencies:
   - spacy==2.1.8
   - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
   - -r https://automlcesdkdataresources.blob.core.windows.net/validated-requirements/1.23.0/validated_win32_requirements.txt [--no-deps]
+  - PyJWT < 2.0.0

how-to-use-azureml/automated-machine-learning/automl_env_linux.yml

@@ -26,3 +26,5 @@ dependencies:
   - spacy==2.1.8
   - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
   - -r https://automlcesdkdataresources.blob.core.windows.net/validated-requirements/1.23.0/validated_linux_requirements.txt [--no-deps]
+  - PyJWT < 2.0.0
+

how-to-use-azureml/automated-machine-learning/automl_env_mac.yml

@@ -25,5 +25,6 @@ dependencies:
   - azureml-widgets~=1.23.0
   - pytorch-transformers==1.0.0
   - spacy==2.1.8
-  - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
+  - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz  
   - -r https://automlcesdkdataresources.blob.core.windows.net/validated-requirements/1.23.0/validated_darwin_requirements.txt [--no-deps]
+  - PyJWT < 2.0.0

how-to-use-azureml/automated-machine-learning/experimental/automl_thin_client_env.yml

@@ -7,7 +7,6 @@ dependencies:
 - nb_conda
 - cython
 - urllib3<1.24
-- numpy==1.18.5
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.

how-to-use-azureml/automated-machine-learning/experimental/automl_thin_client_env_mac.yml

@@ -8,7 +8,6 @@ dependencies:
 - nb_conda
 - cython
 - urllib3<1.24
-- numpy==1.18.5
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.