$val := .Values.environment }} - name: {{ $key }} value: {{ $val | quote }} {{- end}} resources: {{ toYaml .Values.resources | indent 12 }} {{- with .Values.nodeSelector }} nodeSelector: {{ toYaml . | indent 8 }} {{- end }} {{- include "minio.imagePullSecrets" . | indent 6 }} {{- with .Values.affinity }} affinity: {{ toYaml . | indent 8 }} {{- end }} {{- with .Values.tolerations }} tolerations: {{ toYaml . | indent 8 }} {{- end }} volumes: - name: export {{- if .Values.persistence.enabled }} persistentVolumeClai:...

/*
 * Copyright (C) 2007 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2007 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2011 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

import org.slf4j.Logger;

/**
 * Provides backwards compatibility with Maven 3.2.3 and earlier. Clients that do not require compatibility with Maven
 * 3.2.3 and earlier are encouraged to use {@link JavaToolchainImpl}.
 * <strong>Note:</strong> This is an internal component whose interface can change without prior notice.
 *
 * @deprecated clients that do not require compatibility with Maven 3.2.3 and earlier should link to

    }

    /**
     * Test that batch limit respects Unicode settings
     */
    @Test
    @DisplayName("Batch limit configuration with Unicode enabled")
    public void testBatchLimitWithUnicodeEnabled() throws CIFSException {
        Properties props = new Properties();
        props.setProperty("jcifs.smb.client.useUnicode", "true");

 * * `Response.body().string()`
 *
 * There is no benefit to invoking multiple `close()` methods for the same response body.
 *
 * For synchronous calls, the easiest way to make sure a response body is closed is with a `try`
 * block. With this structure the compiler inserts an implicit `finally` clause that calls
 * [close()][Response.close] for you.
 *
 * ```java
 * Call call = client.newCall(request);
 * try (Response response = call.execute()) {

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.