// This would need to be implemented based on how the SMB operations
        // handle asynchronous failures in the actual transport implementation
        log.debug("Operation failed during redistribution: {}", error.getMessage());
    }

    private void scheduleRecovery(ChannelInfo channel, FailoverState state) {
        state.incrementRetry();

// email: ******@****.***
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
//    notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright

ration.class package org.gradle.wrapper; public final class WrapperConfiguration { public java.net.URI distribution; public String distributionBase; public String distributionPath; public String distributionSha256Su; public String zipBase; public String zipPath; public int networkTimeout; public boolean validateDistribution; public void WrapperConfiguration(); public final void setDistribution(java.net.URI); public final String getDistributionBase(); public final void setDistributionBase(String);...

        uses: actions/setup-java@v5
        with:
          distribution: 'zulu'
          java-version: 11

      - name: Configure JDK
        uses: actions/setup-java@v5
        with:
          distribution: 'zulu'
          java-version: 17

      - uses: graalvm/setup-graalvm@v1
        with:
          distribution: 'graalvm'
          java-version: 21

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;

	return shuffleWithDist[int](parts, distribution)
}

// shuffleDisks - shuffle input disks slice depending on the
// erasure distribution. Return shuffled slice of disks with
// their expected distribution.
func shuffleDisks(disks []StorageAPI, distribution []int) []StorageAPI {
	return shuffleWithDist[StorageAPI](disks, distribution)
}

    <artifactId>maven</artifactId>
    <version>4.1.0-SNAPSHOT</version>
  </parent>

  <artifactId>apache-maven</artifactId>
  <packaging>pom</packaging>

  <name>Apache Maven Distribution</name>
  <description>The Apache Maven distribution, source and binary, in zip and tar.gz formats.</description>

  <dependencies>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-cli</artifactId>

          python-version: "3.10"
      - name: Install build dependencies
        run: pip install build
      - name: Build source distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build --sdist
      - name: Decompress source distribution
        run: |
          cd dist
          tar xvf fastapi*.tar.gz
      - name: Install test dependencies
        run: |

      - name: Download Maven distribution
        uses: actions/download-artifact@634f93cb2916e3fdff6788551b99b062d0335ce0 # v4
        with:
          name: maven-distributions
          path: maven-dist

      - name: List downloaded files
        shell: bash
        run: ls -la maven-dist

      - name: Extract Maven distribution
        shell: bash
        run: |

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;