"//tensorflow/c:tf_file_statistics",
        "//tensorflow/c:tf_status",
        "//tensorflow/c/experimental/filesystem:filesystem_interface",
    ],
)

# Since building pip package and API tests require a filesystem, we provide a
# static registration target that they should link against.
cc_library(
    name = "posix_filesystem_static",
    srcs = ["posix_filesystem_static.cc"],
    visibility = ["//visibility:public"],

*   Include unit tests when you contribute new features, as they help to a)
    prove that your code works correctly, and b) guard against future breaking
    changes to lower the maintenance cost.
*   Bug fixes also generally require unit tests, because the presence of bugs
    usually indicates insufficient test coverage.
*   Keep API compatibility in mind when you change code in core TensorFlow,
    e.g., code in

# 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,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

*   GPU Pip wheels are built with cuda 7.5 and cudnn-v4, making them required
    for the binary releases. Lower versions of cuda/cudnn can be supported by
    installing from sources and setting the options during ./configure
*   Fix dataset encoding example for Python3 (@danijar)
*   Fix PIP installation by not packaging protobuf as part of wheel, require
    protobuf 3.0.0b2.

tf_cc_test(
    name = "modular_filesystem_test",
    size = "small",
    srcs = ["modular_filesystem_test.cc"],
    linkopts = ["-ldl"],
    tags = [
        "manual",  # Requires DSOs as arguments, eventual setup
        "notap",  # b/139060984, requires implementing modular support for Google filesystem
    ],
    deps = [
        ":modular_filesystem",
        "//tensorflow/core:framework_internal",

cc_library(
    name = "conversion_macros",
    hdrs = [
        "conversion_macros.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

cc_library(
    name = "c_op_requires",
    hdrs = ["c_op_requires.h"],
    visibility = ["//visibility:public"],
    deps = ["//tensorflow/core/platform:macros"],

        "@com_google_absl//absl/memory",
        "@com_google_absl//absl/strings:str_format",
        "@local_xla//xla/tsl/c:tsl_status_internal",
    ],
    alwayslink = 1,
)

filegroup(
    name = "pywrap_required_hdrs",
    srcs = [
        "abstract_context.h",
        "abstract_function.h",
        "abstract_op_attrs.h",
        "abstract_operation.h",
        "abstract_tensor_handle.h",
        "c_api.h",

    get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([
        1,
        2,
    ])
)
# copybara:comment_end

# Config setting used when building for products
# which requires restricted licenses to be avoided.
config_setting(
    name = "no_lgpl_deps",
    define_values = {"__TENSORFLOW_NO_LGPL_DEPS__": "1"},
    visibility = ["//visibility:public"],
)

  # This creates a list of targets under //tensorflow that are required for
  # TensorFlow python tests.
  bazel cquery --keep_going "deps($(cat $BATS_TEST_TMPDIR/deps), 1)" | grep "^//tensorflow" | grep -v -f $BATS_TEST_TMPDIR/ignore_these_deps | sort -u > $BATS_TEST_TMPDIR/required_deps


  # Find if any required dependencies are missing from the list of dependencies
  # included in the pip package.

# 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,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.