WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

  /** Matcher for type, subtype and attributes. */
  private static final CharMatcher TOKEN_MATCHER =
      ascii()
          .and(javaIsoControl().negate())
          .and(CharMatcher.isNot(' '))
          .and(CharMatcher.noneOf("()<>@,;:\\\"/[]?="));

  private static final CharMatcher QUOTED_TEXT_MATCHER = ascii().and(CharMatcher.noneOf("\"\\\r"));

  /*

      }

      while (!encodedCharBuffer.exhausted()) {
        val b = encodedCharBuffer.readByte().toInt() and 0xff
        writeByte('%'.code)
        writeByte(HEX_DIGITS[b shr 4 and 0xf].code)
        writeByte(HEX_DIGITS[b and 0xf].code)
      }
    } else {
      // This character doesn't need encoding. Just copy it over.
      writeUtf8CodePoint(codePoint)
    }

- **Secure Key Management**: Proper key derivation and nonce generation

### Core Features
- **Per-context configuration**: No global state, each context encapsulates configuration
- **Authentication**: NTLM, Kerberos, SPNEGO unified subsystem
- **SLF4J Logging**: Comprehensive logging throughout the codebase
- **Resource Management**: AutoCloseable patterns for file handles and connections

It is also built to work as a future reference so you can come back and see exactly what you need.

## Run the code { #run-the-code }

All the code blocks can be copied and used directly (they are actually tested Python files).

To run any of the examples, copy the code to a file `main.py`, and start `fastapi dev` with:

<div class="termy">

```console

@GwtCompatible
public final class Suppliers {
  private Suppliers() {}

  /**
   * Returns a new supplier which is the composition of the provided function and supplier. In other
   * words, the new supplier's value will be computed by retrieving the value from {@code supplier},
   * and then applying {@code function} to that value. Note that the resulting supplier will not
   * call {@code supplier} or invoke {@code function} until it is called.
   */

/*
 * Copyright 2012-2025 CodeLibs Project and the Others.
 *
 * 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,

   * Reads the next byte of data from the underlying input stream and updates the hasher with the
   * byte read.
   */
  @Override
  @CanIgnoreReturnValue
  public int read() throws IOException {
    int b = in.read();
    if (b != -1) {
      hasher.putByte((byte) b);
    }
    return b;
  }

  /**
   * Reads the specified bytes of data from the underlying input stream and updates the hasher with
   * the bytes read.
   */

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Nullable;

/**
 * Represents a hierarchical trace of nested requests within a session, enabling correlation between
 * session events and their originating operations in the application code. The trace structure

		t.Errorf("failed to update with named arg")
	}

	AssertEqual(t, result5, namedUser)

	var result6 NamedUser
	if err := DB.Raw(`SELECT * FROM named_users WHERE (name1 = @name