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.github/actions/people/app/main.py
discussion_edges = get_graphql_question_discussion_edges(settings=settings) while discussion_edges: for discussion_edge in discussion_edges: discussion_nodes.append(discussion_edge.node) last_edge = discussion_edges[-1] discussion_edges = get_graphql_question_discussion_edges( settings=settings, after=last_edge.cursor ) return discussion_nodes
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 17:38:21 GMT 2024 - 19.2K bytes - Viewed (1) -
.github/actions/notify-translations/app/main.py
last_edge = discussion_edges[-1] discussion_edges = get_graphql_translation_discussion_comments_edges( settings=settings, discussion_number=discussion_number, after=last_edge.cursor, ) return comment_nodes def create_comment(*, settings: Settings, discussion_id: str, body: str): data = get_graphql_response(
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Sep 27 23:01:46 GMT 2023 - 12.4K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
setattr(_current_module, "losses", _losses) setattr(_current_module, "metrics", _metrics) setattr(_current_module, "optimizers", _optimizers) setattr(_current_module, "initializers", _initializers) # Do an eager load for Keras' code so that any function/method that needs to # happen at load time will trigger, eg registration of optimizers in the # SavedModel registry. # See b/196254385 for more details. try:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3)