*/

/** Get the domain of the user's email

  @param {!object}
    github enables querying for PR and also create issue using rest endpoint
    username has the login username of the Pull Request Event
  @return {string} Return the domain name of the user's email. Empty string if not found
*/

const get_email_domain = async ({github, username}) => {
  const user = await github.rest.users.getByUsername({
    username
  });

  while var is None:
    user_input_origin = get_input(question)
    user_input = user_input_origin.strip().lower()
    if user_input == 'y':
      print(yes_reply)
      var = True
    elif user_input == 'n':
      print(no_reply)
      var = False
    elif not user_input:
      if enabled_by_default:
        print(yes_reply)
        var = True

RUN [Environment]::SetEnvironmentVariable('CYGWIN', 'winsymlinks:native', 'Machine'); \
    [Environment]::SetEnvironmentVariable('HOME', 'C:\Users\ContainerAdministrator\', 'Machine'); \
    [Environment]::SetEnvironmentVariable('HOMEDRIVE', 'C:', 'Machine'); \
    [Environment]::SetEnvironmentVariable('HOMEPATH', '\Users\ContainerAdministrator\', 'Machine'); \
    [Environment]::SetEnvironmentVariable('GOROOT', 'C:\Program Files\Go\', 'Machine'); \

# Register multi toolchains
load("@rules_python//python:repositories.bzl", "python_register_toolchains")  # buildifier: disable=same-origin-load

python_register_toolchains(
    name = "python",
    ignore_root_user_error = True,
    python_version = TF_PYTHON_VERSION,
)

load("@python//:defs.bzl", "interpreter")
load("@rules_python//python:pip.bzl", "pip_parse")

pip_parse(
    name = "pypi",

   };
 
+/* The structure describing an entry in the user accounting database.  */
 struct utmp
   {
-    char ut_line[UT_LINESIZE];
-    char ut_user[UT_NAMESIZE];
+    char ut_line[UT_LINESIZE]
+      __attribute_nonstring__;	/* Devicename.  */
+    char ut_user[UT_NAMESIZE]
+      __attribute_nonstring__;	/* Username.  */
 #define ut_name ut_user
-    char ut_host[UT_HOSTSIZE];
+    char ut_host[UT_HOSTSIZE]

# Load rc file written by ./configure.
try-import %workspace%/.tf_configure.bazelrc
try-import %workspace%/xla_configure.bazelrc

# Load rc file with user-specific options.
try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds
# Build TensorFlow v2.
test:release_base --test_size_filters=small,medium

# Ensure release_base is set on linux

  // If `persistent` is true, GradientTape will not eagerly delete backward
  // functions (and hence the tensors they keep alive). Instead, everything
  // is deleted in ~GradientTape. Persistent GradientTapes are useful when
  // users want to compute multiple gradients over the same tape.
  explicit GradientTape(bool persistent) : persistent_(persistent) {}
  ~GradientTape() {
    for (const auto& pair : op_tape_) {

    cat $BATS_TEST_TMPDIR/actual_missing_licenses
  fi

  # Fail if either of the two "extras" or "missing" lists are present. If so,
  # then the user will see the above error messages.
  [[ ! -s $BATS_TEST_TMPDIR/actual_extra_licenses ]] && [[ ! -s $BATS_TEST_TMPDIR/actual_missing_licenses ]]
}

@test "Pip package generated license includes all dependencies' licenses" {

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute
code in context of the TensorFlow service, it is important to design isolation
mechanisms that prevent unwanted access to the data from other tenants.

Network isolation between different models is also important not only to prevent
unauthorized access to data or models, but also to prevent malicious users or

## Bug Fixes and Other Changes

*   tf.data:
    *   tf.data users can now represent, get, and set options of TensorFlow
        input pipelines using `tf.data.Options()`, `tf.data.Dataset.options()`,
        and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.