Licensed to the Apache Software Foundation (ASF) under one
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

    return {"item": items[item_id]}


@app.get("/http-no-body-statuscode-exception")
async def no_body_status_code_exception():
    raise HTTPException(status_code=204)


@app.get("/http-no-body-statuscode-with-detail-exception")
async def no_body_status_code_with_detail_exception():
    raise HTTPException(status_code=204, detail="I should just disappear!")


@app.get("/starlette-items/{item_id}")

   */
  Map<K, V> entriesInCommon();

  /**
   * Returns an unmodifiable map describing keys that appear in both maps, but with different
   * values.
   */
  Map<K, ValueDifference<V>> entriesDiffering();

  /**
   * Compares the specified object with this instance for equality. Returns {@code true} if the
   * given object is also a {@code MapDifference} and the values returned by the {@link

/*
 * Copyright (C) 2009 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

/*
 * 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

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

 * 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
 *

private val BROWSER_COMPATIBLE_DATE_FORMAT_STRINGS =
  arrayOf(
    // HTTP formats required by RFC2616 but with any timezone:
    // RFC 822, updated by RFC 1123 with any TZ.
    "EEE, dd MMM yyyy HH:mm:ss zzz",
    // RFC 850, obsoleted by RFC 1036 with any TZ.
    "EEEE, dd-MMM-yy HH:mm:ss zzz",
    // ANSI C's asctime() format
    "EEE MMM d HH:mm:ss yyyy",
    // Alternative formats:

 * implementors</a>
 *
 * @author Joshua O'Madadhain
 * @author Jens Nyman
 * @param <N> Node parameter type
 * @since 23.0
 */
@Beta
@DoNotMock("Implement with a lambda, or use GraphBuilder to build a Graph with the desired edges")
@ElementTypesAreNonnullByDefault
public interface PredecessorsFunction<N> {

  /**
   * Returns all nodes in this graph adjacent to {@code node} which can be reached by traversing

    components = Arrays.asList(raw);
  }

  /** {@link Joiner} with a string delimiter. */
  @Benchmark
  int joinerWithStringDelimiter(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy ^= JOINER_ON_STRING.join(components).length();
    }
    return dummy;
  }

  /** {@link Joiner} with a character delimiter. */
  @Benchmark
  int joinerWithCharacterDelimiter(int reps) {