you're running the same code that you're testing:

    *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
        `pip install -U tf-nightly`
    *   Rebase your pull request onto a recent pull from
        [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.

2.  If you are changing the code and the docstring of a class/function/method,

  }

  dlm_tensor->dl_tensor.shape = shape_arr->data();
  // There are two ways to represent compact row-major data
  // 1) nullptr indicates tensor is compact and row-majored.
  // 2) fill in the strides array as the real case for compact row-major data.
  // Here we choose option 2, since some frameworks didn't handle the strides
  // argument properly.
  dlm_tensor->dl_tensor.strides = stride_arr->data();

    *   Add `tf.contrib.distributions.bijectors.Reshape`.
    *   Support shape inference (i.e., shapes containing -1) in the Reshape
        bijector.
*   Add `streaming_precision_recall_at_equal_thresholds,` a method for computing
    streaming precision and recall with `O(num_thresholds + size of
    predictions)` time and space complexity.
*   Change `RunConfig` default behavior to not set a random seed, making random

tf_cc_shared_object(
    name = "libposix_filesystem.so",
    framework_so = [],
    linkstatic = False,
    visibility = ["//visibility:public"],
    deps = [":posix_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "posix_filesystem_impl",
    srcs = ["posix_filesystem.cc"],
    hdrs = ["posix_filesystem.h"],
    deps = [
        ":posix_filesystem_helper",

tf_cc_shared_object(
    name = "gcs_filesystem",
    framework_so = [],
    linkstatic = False,
    per_os_targets = 1,
    visibility = ["//visibility:public"],
    deps = [":gcs_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "gcs_filesystem_impl",
    srcs = ["gcs_filesystem.cc"],
    hdrs = ["gcs_filesystem.h"],
    copts = select({
        "//conditions:default": [],

of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {
    for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do
        target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g')

    suppress_default_error: (Bool) Suppress the above error message in favor of
      one from the check_success function.
    resolve_symlinks: (Bool) Translate symbolic links into the real filepath.
    n_ask_attempts: (Integer) Number of times to query for valid input before
      raising an error and quitting.

  Returns:
    [String] The value of var_name after querying for input.

  Raises:

    linkstatic = False,
    tags = [
        "manual",
        "nobuilder",
        "notap",
    ],
    visibility = ["//visibility:public"],
    deps = [":windows_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "windows_filesystem_impl",
    srcs = ["windows_filesystem.cc"],
    copts = get_win_copts(),
    tags = [
        "manual",
        "nobuilder",