TYPE_DATA -> readData(handler, length, flags, streamId)
      TYPE_HEADERS -> readHeaders(handler, length, flags, streamId)
      TYPE_PRIORITY -> readPriority(handler, length, flags, streamId)
      TYPE_RST_STREAM -> readRstStream(handler, length, flags, streamId)
      TYPE_SETTINGS -> readSettings(handler, length, flags, streamId)
      TYPE_PUSH_PROMISE -> readPushPromise(handler, length, flags, streamId)

      val length = minOf(maxFrameSize.toLong(), byteCount)
      var flags = if (byteCount == length) FLAG_END_HEADERS else 0
      if (outFinished) flags = flags or FLAG_END_STREAM
      frameHeader(
        streamId = streamId,
        length = length.toInt(),
        type = TYPE_HEADERS,
        flags = flags,
      )
      sink.write(hpackBuffer, length)

    bazel by doing as follows:

    ```bash
    export flags="--config=opt -k"
    ```

    If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and
    add the `cuda` option flag

    ```bash
    export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
    export flags="--config=opt --config=cuda -k"
    ```

import org.robolectric.annotation.Implements
import org.robolectric.shadow.api.Shadow

@Implements(DnsResolver::class)
class ShadowDnsResolver {
  var responder: (Request) -> Unit = {
    it.callback.onAnswer(listOf(), 0)
  }

  data class Request(
    val network: Network?,
    val domain: String,
    val nsType: Int,
    val flags: Int,
    val callback: DnsResolver.Callback<List<InetAddress>>,
  )

  @Implementation

            "//tensorflow/core:lib_internal",
            "//tensorflow/core:op_gen_lib",
            "//tensorflow/core:protos_all_cc",
            "//tensorflow/core/config:flag_defs",
            "//tensorflow/core/config:flags",
            "//tensorflow/core/distributed_runtime:server_lib",
            "//tensorflow/core/kernels:logging_ops",
            "@com_google_absl//absl/strings",
        ],
    }),

- [`KT-41373`](https://youtrack.jetbrains.com/issue/KT-41373) "KotlinReflectionInternalError: Unresolved class" when inspecting anonymous Java class
- [`KT-61304`](https://youtrack.jetbrains.com/issue/KT-61304) Reflection: Calling data class `copy` method via reflection (callBy) fails when the data class has exactly 64 fields

github.com/spf13/pflag v0.0.0-20170130214245-9ff6c6923cff/go.mod h1:DYY7MBk1bdzusC3SYhjObp+wFpr4gzcvqqNjLnInEg4=
github.com/spf13/pflag v1.0.1/go.mod h1:DYY7MBk1bdzusC3SYhjObp+wFpr4gzcvqqNjLnInEg4=
github.com/spf13/pflag v1.0.3/go.mod h1:DYY7MBk1bdzusC3SYhjObp+wFpr4gzcvqqNjLnInEg4=
github.com/spf13/pflag v1.0.5 h1:iy+VFUOCP1a+8yFto/drg2CJ5u0yRoB7fZw3DKv/JXA=

)

# This flag enables experimental TPU support
bool_flag(
    name = "enable_tpu_support",
    build_setting_default = False,
)

config_setting(
    name = "with_tpu_support_define",
    define_values = {"with_tpu_support": "true"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "with_tpu_support_flag",
    flag_values = {":enable_tpu_support": "True"},

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

================================================================

github.com/jessevdk/go-flags
https://github.com/jessevdk/go-flags
----------------------------------------------------------------
Copyright (c) 2012 Jesse van den Kieboom. All rights reserved.
Redistribution and use in source and binary forms, with or without

github.com/jedib0t/go-pretty/v6 v6.5.8 h1:8BCzJdSvUbaDuRba4YVh+SKMGcAAKdkcF3SVFbrHAtQ=
github.com/jedib0t/go-pretty/v6 v6.5.8/go.mod h1:zbn98qrYlh95FIhwwsbIip0LYpwSG8SUOScs+v9/t0E=
github.com/jessevdk/go-flags v1.5.0 h1:1jKYvbxEjfUl0fmqTCOfonvskHHXMjBySTLW4y9LFvc=
github.com/jessevdk/go-flags v1.5.0/go.mod h1:Fw0T6WPc1dYxT4mKEZRfG5kJhaTDP9pj1c2EWnYs/m4=
github.com/jlaffaye/ftp v0.0.0-20190624084859-c1312a7102bf/go.mod h1:lli8NYPQOFy3O++YmYbqVgOcQ1JPCwdOy+5zSjKJ9qY=