/*
 * Copyright 2020 the original author or 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 2020 the original author or 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,

        PropertyConfiguration config = new PropertyConfiguration(props);
        assertEquals(4, config.getMaxChannels()); // Should use default when 0

        props.setProperty("jcifs.smb.client.maxChannels", "-1");
        config = new PropertyConfiguration(props);
        assertEquals(4, config.getMaxChannels()); // Should use default for negative

        props.setProperty("jcifs.smb.client.channelHealthCheckInterval", "0");

/*
 * Copyright 2022 the original author or 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,

 * invoke methods, they invoke methods on the {@code ForwardingMap}.
 *
 * <p>Each of the {@code standard} methods, where appropriate, use {@link Objects#equals} to test
 * equality for both keys and values. This may not be the desired behavior for map implementations
 * that use non-standard notions of key equality, such as a {@code SortedMap} whose comparator is
 * not consistent with {@code equals}.
 *

    /**
     * Gets the session to use for repository access.
     *
     * @return The repository session or {@code null} if not set.
     */
    RepositorySystemSession getRepositorySession();

    /**
     * Sets the session to use for repository access.
     *
     * @param repositorySession The repository session to use.
     * @return This request for chaining, never {@code null}.
     */

import org.apache.maven.artifact.resolver.ResolutionNode;

/**
 * Determines which version of an artifact to use when there are conflicting declarations.
 *
 */
@Deprecated
public interface ConflictResolver {
    String ROLE = ConflictResolver.class.getName();

    /**
     * Determines which of the specified versions of an artifact to use when there are conflicting declarations.
     *
     * @param node1 the first artifact declaration

 * always use regular dependency injection to acquire the repository system.
 *
 * @deprecated See {@link MavenSessionBuilderSupplier}
 */
@Deprecated
public final class MavenRepositorySystemUtils {

    private MavenRepositorySystemUtils() {
        // hide constructor
    }

    /**
     * This method is deprecated, nobody should use it.
     *

   * Returns the unsigned {@code long} value represented by a string with the given radix.
   *
   * <p><b>Java 8+ users:</b> use {@link Long#parseUnsignedLong(String, int)} instead.
   *
   * @param string the string containing the unsigned {@code long} representation to be parsed.
   * @param radix the radix to use while parsing {@code string}
   * @throws NumberFormatException if the string does not contain a valid unsigned {@code long} with

   
   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.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.