datascience

I am using metaflow locally but with the AWS service (e.g. the actual compute is happening locally rather than in AWS batch but the metadata is using AWS). When I access the run data through run.data I get new local directories with names like metaflow.s3.w3efey1k, which I presume is because metaflow pulls from S3 into that directory, and then un-pickles the result from there. Is there a way t

• correcting handling asserts
  • replacing assert condition with the pattern
    if not condition: raise AssertionError()

Follow the implementation example of ingestion/tests/integration/ometa/test_ometa_database_service_api.py to implement the testing of the Python client for PipelineService.

Complementar a base de dados com esses novos CNPJs. Links interessantes:

• Tabelas complementares disponíveis no site da Receita Federal
• Tabela com CNPJ dos Entes Federativos
• [Tabela de Qualificação do Re