where an 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

    >>> decimal_encoder(Decimal("NaN"))
    nan
    """
    exponent = dec_value.as_tuple().exponent
    if isinstance(exponent, int) and exponent >= 0:

common:release_macos_x86 --config=avx_linux
common:release_macos_x86 --cpu=darwin
# Target Catalina as the minimum compatible OS version
common:release_macos_x86 --macos_minimum_os=10.15
common:release_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15

# Build configs for macOS Arm64
common:release_macos_arm64 --config=release_macos_base
common:release_macos_arm64 --cpu=darwin_arm64

  "durations" : [ {
    "testProject" : "largeGroovyMultiProject",
    "linux" : 740
  }, {
    "testProject" : "largeJavaMultiProject",
    "linux" : 566,
    "windows" : 1006,
    "macOs" : 281
  }, {
    "testProject" : "largeMonolithicGroovyProject",
    "linux" : 2320
  }, {
    "testProject" : "largeMonolithicJavaProject",
    "linux" : 1577
  } ]
}, {

* Add missing dependencies for testing. PR [#1026](https://github.com/tiangolo/fastapi/pull/1026) by [@sm-Fifteen](https://github.com/sm-Fifteen).
* Fix accepting valid types for response models, including Python types like `List[int]`. PR [#1017](https://github.com/tiangolo/fastapi/pull/1017) by [@patrickmckenna](https://github.com/patrickmckenna).