visibility = ["//visibility:public"],
)

cc_library(
    name = "c_api_macros_hdrs",
    hdrs = [
        "c_api_macros.h",
    ],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "c_api_macros",
    hdrs = [
        "c_api_macros.h",
        "c_api_macros_internal.h",
    ],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = [

                TestCoverage(36, TestType.platform, Os.MACOS, JvmCategory.MAX_LTS_VERSION, expectedBucketNumber = 20, arch = Arch.AARCH64)
            ),
            docsTests = listOf(
                DocsTestCoverage(Os.MACOS, JvmCategory.MAX_VERSION, listOf(CONFIG_CACHE_DISABLED)),
            ),
            performanceTests = slowPerformanceTestCoverages,

**macOS**                     | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/macos-py2-cc.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/macos-py2-cc.html)     | [PyPI](https://pypi.org/project/tf-nightly/)

      "coverage" : {
        "per_day" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
    "groups" : [ {
      "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
      "coverage" : {
        "per_day" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {

    "macOs" : 205
  }, {
    "testProject" : "santaTrackerAndroidBuild",
    "linux" : 463,
    "windows" : 885,
    "macOs" : 392
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.android.AndroidIncrementalExecutionPerformanceTest.non-abi change with configuration caching",
  "durations" : [ {
    "testProject" : "nowInAndroidBuild",
    "linux" : 283,
    "windows" : 392,
    "macOs" : 214
  }, {

                        OperatingSystem.current().isWindows -> requirements = listOf("os=windows", "gbt-dogfooding")
                        OperatingSystem.current().isMacOsX -> requirements = listOf("os=macos", "gbt-dogfooding")
                    }
                } else {
                    requirements = listOf("gbt-dogfooding")
                }
            }
        }

		includes:        append([]string{filepath.Dir(name)}, flags.I...),
		beginningOfLine: true,
		macros:          predefine(flags.D),
	}
}

// predefine installs the macros set by the -D flag on the command line.
func predefine(defines flags.MultiFlag) map[string]*Macro {
	macros := make(map[string]*Macro)
	for _, name := range defines {
		value := "1"
		i := strings.IndexRune(name, '=')
		if i > 0 {

        param("env.GRADLE_INTERNAL_REPO_URL", "%gradle.internal.repository.url%")
        if (os == Os.MACOS) {
            // Use fewer parallel forks on macOs, since the agents are not very powerful.
            param("maxParallelForks", "2")
        }
        if (os == Os.LINUX || os == Os.MACOS) {
            param("env.LC_ALL", "en_US.UTF-8")
        }
    }
}

You can create and use environment variables in the shell, without needing Python:

=== "Linux, macOS, Windows Bash"

    <div class="termy">

    ```console
    // You could create an env var MY_NAME with
    $ export MY_NAME="Wade Wilson"

    // Then you could use it with other programs, like

因此，通常会将它们提供为由应用程序读取的环境变量。

## 环境变量

!!! tip
    如果您已经知道什么是"环境变量"以及如何使用它们，请随意跳到下面的下一节。

环境变量（也称为"env var"）是一种存在于 Python 代码之外、存在于操作系统中的变量，可以被您的 Python 代码（或其他程序）读取。

您可以在 shell 中创建和使用环境变量，而无需使用 Python：

=== "Linux、macOS、Windows Bash"

    <div class="termy">

    ```console
    // 您可以创建一个名为 MY_NAME 的环境变量
    $ export MY_NAME="Wade Wilson"

    // 然后您可以与其他程序一起使用它，例如
    $ echo "Hello $MY_NAME"

    Hello Wade Wilson