Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by,...

One of the main features needed by API systems is data "<abbr title="also called marshalling, conversion">serialization</abbr>" which is taking data from the code (Python) and converting it into something that can be sent through the network. For example, converting an object containing data from a database into a JSON object. Converting `datetime` objects into strings, etc.

    stream limits. This update also fixes `Call.cancel()` to not do I/O on the
    calling thread.
 *  Fix: Don't log gzipped data in the logging interceptor.
 *  Fix: Don't resolve DNS addresses when connecting through a SOCKS proxy.
 *  Fix: Drop the synthetic `OkHttp-Selected-Protocol` response header.
 *  Fix: Support 204 and 205 'No Content' replies in the logging interceptor.
 *  New: Add `Call.isExecuted()`.


## Version 2.6.0

   * is called. This will fail if the iterator is infinite and may cause problems if the iterator
   * eagerly fetches data for each source when iterated (rather than producing sources that only
   * load data through their streams). Prefer using the {@link #concat(Iterable)} overload if
   * possible.
   *
   * @param sources the sources to concatenate
   * @return a {@code ByteSource} containing the concatenated data

      // extensive testing
      try {
        return Float.parseFloat(string);
      } catch (NumberFormatException e) {
        // Float.parseFloat has changed specs several times, so fall through
        // gracefully
      }
    }
    return null;
  }

   * obtained by calling {@code snapshot()} on the same {@link StatsAccumulator} without adding any
   * values in between the two calls, or if one is obtained from the other after round-tripping
   * through java serialization. However, floating point rounding errors mean that it may be false
   * for some instances where the statistics are mathematically equal, including instances

  - [Changelog since v1.26.0](#changelog-since-v1260)
  - [Known Issues](#known-issues)
    - [The PreEnqueue extension point doesn't work for Pods going to activeQ through backoffQ](#the-preenqueue-extension-point-doesnt-work-for-pods-going-to-activeq-through-backoffq)
  - [Urgent Upgrade Notes](#urgent-upgrade-notes)
    - [(No, really, you MUST read this before you upgrade)](#no-really-you-must-read-this-before-you-upgrade)

You use `which` in Linux and macOS and `Get-Command` in Windows PowerShell.

The way that command works is that it will go and check in the `PATH` environment variable, going through **each path in order**, looking for the program called `python`. Once it finds it, it will **show you the path** to that program.

      // extensive testing
      try {
        return Double.parseDouble(string);
      } catch (NumberFormatException e) {
        // Double.parseDouble has changed specs several times, so fall through
        // gracefully
      }
    }
    return null;
  }

			err:    nil,
		},
		// TestXLStorage case - 6.
		// TestXLStorage case with invalid volume name.
		{
			volume: "ab",
			path:   "as-file",
			err:    errVolumeNotFound,
		},
	}

	// Run through all the test cases and validate for ReadVersion.
	for i, testCase := range testCases {
		_, err = xlStorage.ReadVersion(t.Context(), "", testCase.volume, testCase.path, "", ReadOptions{})
		if err != testCase.err {