import java.io.Reader;

import org.apache.lucene.analysis.ja.JapaneseIterationMarkCharFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractCharFilterFactory;
import org.opensearch.index.analysis.NormalizingCharFilterFactory;

        if (StringUtil.isNotBlank(systemLastaEnv)) {
            if ("web".equals(systemLastaEnv)) {
                cmdList.add("-Dlasta.env=" + getExecuteType());
            } else {
                cmdList.add("-Dlasta.env=" + systemLastaEnv);
            }
        } else if (StringUtil.isNotBlank(lastaEnv)) {
            cmdList.add("-Dlasta.env=" + lastaEnv);
        } else {

		}

		webhookArgs := target.WebhookArgs{
			Enable:     enabled,
			Endpoint:   *url,
			Transport:  transport,
			AuthToken:  env.Get(authEnv, kv.Get(target.WebhookAuthToken)),
			ClientCert: env.Get(clientCertEnv, kv.Get(target.WebhookClientCert)),
			ClientKey:  env.Get(clientKeyEnv, kv.Get(target.WebhookClientKey)),
		}
		if err = webhookArgs.Validate(); err != nil {
			return nil, err
		}

const (
	transitionWorkers = "transition_workers"
	expirationWorkers = "expiration_workers"
	// EnvILMTransitionWorkers env variable to configure number of transition workers
	EnvILMTransitionWorkers = "MINIO_ILM_TRANSITION_WORKERS"
	// EnvILMExpirationWorkers env variable to configure number of expiration workers
	EnvILMExpirationWorkers = "MINIO_ILM_EXPIRATION_WORKERS"
)

var (

fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.
# This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  # Uninstall tf nightly wheel built with numpy1.
  "$python" -m pip uninstall -y tf_nightly_numpy1
  # Install tf nightly cpu wheel built with numpy2.x from PyPI in numpy1.x env.
  "$python" -m pip install tf-nightly-cpu

          args: [ "/bin/sh /config/add-policy; EV=$?; {{ .Values.makePolicyJob.exitCommand }} && exit $EV" ]
          {{- else }}
          command: [ "/bin/sh", "/config/add-policy" ]
          {{- end }}
          env:
            - name: MINIO_ENDPOINT
              value: {{ template "minio.fullname" . }}
            - name: MINIO_PORT
              value: {{ .Values.service.port | quote }}
          volumeMounts:

/// tip

要使其工作，您需要执行 `pip install python-dotenv`。

///

### `.env` 文件

您可以使用以下内容创建一个名为 `.env` 的文件：

```bash
ADMIN_EMAIL="******@****.***"
APP_NAME="ChimichangApp"
```

### 从 `.env` 文件中读取设置

然后，您可以使用以下方式更新您的 `config.py`：

        "//tensorflow/core/util/tensor_bundle",
        "//tensorflow/core/util/tensor_bundle:naming",
    ],
)

tf_cuda_library(
    name = "env",
    srcs = [
        "env.cc",
    ],
    hdrs = [
        "env.h",
    ],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = select({
        "//tensorflow:android": [

                sh "mvn clean deploy -DdeployAtEnd=true -B"
              }
            }
          }
        }
      }
    }
  }
}

boolean isDeployedBranch() {
  return env.BRANCH_NAME == 'master' || env.BRANCH_NAME == 'maven-4.0.x' || env.BRANCH_NAME == 'maven-3.9.x'
}

/**
 * To other developers, if you are using this method above, please use the following syntax.

     *
     * @param env
     *            The environment used to create the initial context. <code>null</code> indicates an empty environment.
     * @return The initial context
     */
    public static InitialContext create(final Hashtable<?, ?> env) {
        try {
            return new InitialContext(env);
        } catch (final NamingException ex) {