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fastapi/encoders.py
This is useful when we use ConstrainedDecimal to represent Numeric(x,0) where a integer (but not int typed) is used. Encoding this as a float results in failed round-tripping between encode and parse. Our Id type is a prime example of this. >>> decimal_encoder(Decimal("1.0")) 1.0 >>> decimal_encoder(Decimal("1")) 1 """ if dec_value.as_tuple().exponent >= 0: # type: ignore[operator]
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 21:56:59 GMT 2024 - 10.8K bytes - Viewed (0) -
tests/test_tutorial/test_extra_data_types/test_tutorial001_an.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Apr 19 00:11:40 GMT 2024 - 6.8K bytes - Viewed (0) -
tests/test_tutorial/test_extra_data_types/test_tutorial001_an_py39.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Apr 19 00:11:40 GMT 2024 - 7K bytes - Viewed (0) -
tests/test_tutorial/test_extra_data_types/test_tutorial001_py310.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Apr 19 00:11:40 GMT 2024 - 7K bytes - Viewed (0) -
configure.py
' binary GPU code, or as "sm_xy" to only include the binary ' 'code.\nPlease note that each additional compute capability ' 'significantly increases your build time and binary size, and that ' 'TensorFlow only supports compute capabilities >= 3.5 [Default is: ' '%s]: ' % default_cuda_compute_capabilities) tf_cuda_compute_capabilities = get_from_env_or_user_or_default(
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1)