**packages** that all your **projects depend on**. That's very difficult to manage. And you would probably end up running some projects with some **incompatible versions** of the packages, and not knowing why something isn't working.

Also, depending on your operating system (e.g. Linux, Windows, macOS), it could have come with Python already installed. And in that case it probably had some packages pre-installed with some specific versions **needed by your system**. If you install packages in...

    checkNotNull(file2);
    if (file1 == file2 || file1.equals(file2)) {
      return true;
    }

    /*
     * Some operating systems may return zero as the length for files denoting system-dependent
     * entities such as devices or pipes, in which case we must fall back on comparing the bytes
     * directly.
     */
    long len1 = file1.length();
    long len2 = file2.length();

     * <li> or <code>null</code> if the resource cannot be resolved.
     * </ul>
     *
     * @return A <code>String[]</code> array of files and directories,
     * workgroups, servers, or shares depending on the context of the
     * resource URL
     * @throws SmbException if an error occurs while listing the contents
     */
    public String[] list() throws SmbException {

always include Go pointers. This is true of interface, channel, map,
and function types. A pointer type may hold a Go pointer or a C pointer.
Array, slice, string, and struct types may or may not include Go pointers,
depending on their type and how they are constructed. All the discussion
below about Go pointers applies not just to pointer types,
but also to other types that include Go pointers.

    return curr_version

  print('You have bazel %s installed.' % curr_version)
  return curr_version


def set_cc_opt_flags(environ_cp):
  """Set up architecture-dependent optimization flags.

  Also append CC optimization flags to bazel.rc..

  Args:
    environ_cp: copy of the os.environ.
  """
  if is_ppc64le():

    *   Code that uses `isinstance(x, tf.Tensor)` instead of `tf.is_tensor` when
        checking Keras symbolic inputs/outputs should switch to using
        `tf.is_tensor`.
    *   Code that is overly dependent on the exact names attached to symbolic
        tensors (e.g. assumes there will be ":0" at the end of the inputs,
        treats names as unique identifiers instead of using `tensor.ref()`,
        etc.) may break.

</li>
</ol>

<p>
In all non-constant conversions involving floating-point or complex values,
if the result type cannot represent the value the conversion
succeeds but the result value is implementation-dependent.
</p>

<h4 id="Conversions_to_and_from_a_string_type">Conversions to and from a string type</h4>

<ol>
<li>
Converting a slice of bytes to a string type yields

			ep = path.Clean(ep)
			ep += slashSeparator
		} else {
			ep = path.Clean(ep)
		}
		ep = ep[1:]
	}
	return ep
}

// unescapeGeneric is similar to url.PathUnescape or url.QueryUnescape
// depending on input, additionally also handles situations such as
// `//` are normalized as `/`, also removes any `/` prefix before
// returning.
func unescapeGeneric(p string, escapeFn func(string) (string, error)) (string, error) {

   *
   * <p>Removals may or may not happen immediately as each element is tested against the predicate.
   * The behavior of this method is not specified if {@code predicate} is dependent on {@code
   * removeFrom}.
   *
   * <p><b>Java 8+ users:</b> if {@code removeFrom} is a {@link Collection}, use {@code
   * removeFrom.removeIf(predicate)} instead.
   *

build --action_env=PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=upb
build --repo_env=RULES_PYTHON_ENABLE_PYSTAR=0

# Do not do this. If enabled protobuf's core internal target 
# @com_google_protobuf//python:protobuf_python will start depending on a bunch
# of cc_binary shared libraries artifacts, which will mess with how we link 
# protobuf dependencies ourselves. By default this value is false, but some 
# projects enable it, which we don't want here.