environ_cp.get('LD_LIBRARY_PATH') != '1'):
    write_action_env_to_bazelrc('LD_LIBRARY_PATH',
                                environ_cp.get('LD_LIBRARY_PATH'))

  if (environ_cp.get('TF_NEED_ROCM') == '1' and environ_cp.get('ROCM_PATH')):
    write_action_env_to_bazelrc('ROCM_PATH', environ_cp.get('ROCM_PATH'))

  if (environ_cp.get('TF_NEED_ROCM') == '1' and environ_cp.get('HIP_PLATFORM')):

// the given context.
func listEnv(c *build.Context) []string {
	if c == nil {
		return os.Environ()
	}

	environ := append(os.Environ(),
		"GOOS="+c.GOOS,
		"GOARCH="+c.GOARCH)
	if c.CgoEnabled {
		environ = append(environ, "CGO_ENABLED=1")
	} else {
		environ = append(environ, "CGO_ENABLED=0")
	}
	return environ
}

type apiPackage struct {
	*types.Package
	Files []*ast.File
}

* **Rapide à coder** : Augmente la vitesse de développement des fonctionnalités d'environ 200 % à 300 %. *
* **Moins de bugs** : Réduit d'environ 40 % les erreurs induites par le développeur. *

		fmt.Println("Currently set environment settings:")
		ks := []string{
			config.EnvAccessKey,
			config.EnvSecretKey,
			config.EnvRootUser,
			config.EnvRootPassword,
		}
		for _, v := range os.Environ() {
			// Do not print sensitive creds in debug.
			if slices.Contains(ks, strings.Split(v, "=")[0]) {
				continue
			}
			fmt.Println(v)
		}
		fmt.Println("======")
	}

		if (quote == '"' || quote == '\'') && val[len(val)-1] == quote {
			val = val[1 : len(val)-1]
		}
	}

	return envKV{
		Key:   key,
		Value: val,
	}, nil
}

// Similar to os.Environ returns a copy of strings representing
// the environment values from a file, in the form "key, value".
// in a structured form.
func minioEnvironFromFile(envConfigFile string) ([]envKV, error) {

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment
        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows