/*
 * Copyright (C) 2015 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,

 * 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
 *
 * Unless required by applicable law or agreed to in writing,

		} else if results.RowsAffected != 2 {
			t.Fatalf("rows affected expects: %v, got %v", 1, results.RowsAffected)
		} else if u1.ID == 0 {
			t.Fatalf("ID expects : not equal 0, got %v", u1.ID)
		} else if u2.ID == 0 {
			t.Fatalf("ID expects : not equal 0, got %v", u2.ID)
		}

		var gotUsers []user
		results = DB.Where("id in (?, ?)", u1.ID, u2.ID).Order("id asc").Select("id, name").Find(&gotUsers)
		if results.Error != nil {

   
   
   *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.

            throw new DocGenerationException("Parsing non-Java files is not supported: $sourceFile")
        }
        try {
            new JavaParser().parse(sourceFile).getResult().get().accept(new SourceMetaDataVisitor(), repository)
        } catch (Exception e) {
            throw new DocGenerationException("Could not parse '$sourceFile'.", e)
        }
    }

   *
   * <p>Note however that this method does not always behave identically to expressions such as:
   *
   * <ul>
   *   <li>{@code string.toUpperCase().equals("UPPER CASE ASCII")}
   *   <li>{@code string.toLowerCase().equals("lower case ascii")}
   * </ul>
   *
   * <p>due to case-folding of some non-ASCII characters (which does not occur in {@link

    user_dict = fake_users_db.get(form_data.username)
    if not user_dict:
        raise HTTPException(status_code=400, detail="Incorrect username or password")
    user = UserInDB(**user_dict)
    hashed_password = fake_hash_password(form_data.password)
    if not hashed_password == user.hashed_password:
        raise HTTPException(status_code=400, detail="Incorrect username or password")

    user_dict = fake_users_db.get(form_data.username)
    if not user_dict:
        raise HTTPException(status_code=400, detail="Incorrect username or password")
    user = UserInDB(**user_dict)
    hashed_password = fake_hash_password(form_data.password)
    if not hashed_password == user.hashed_password:
        raise HTTPException(status_code=400, detail="Incorrect username or password")

     * {@link CloseableList} may not be subsumed.
     */
    CLOSING,

    /** The {@link CloseableList} has been closed. It may not be further subsumed. */
    CLOSED,

    /**
     * {@link ClosingFuture#finishToValueAndCloser(ValueAndCloserConsumer, Executor)} has been

   documentation and/or other materials provided with the distribution.
3. The names of the authors may not be used to endorse or promote products
   derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.