// ReadBytes reads until the first occurrence of delim in the input,
// returning a slice containing the data up to and including the delimiter.
// If ReadBytes encounters an error before finding a delimiter,
// it returns the data read before the error and the error itself (often io.EOF).
// ReadBytes returns err != nil if and only if the returned data does not end in
// delim.
func (b *Buffer) ReadBytes(delim byte) (line []byte, err error) {

= vendor/github.com/go-task/slim-sprig licensed under: =

Copyright (C) 2013-2020 Masterminds

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

    data[j] = j;
  }
  DLManagedTensor dlm_in = {};
  DLTensor* dltensor_in = &dlm_in.dl_tensor;
  dltensor_in->data = data.data();
  dltensor_in->device = {kDLCPU, 0};
  dltensor_in->ndim = static_cast<int32_t>(shape.size());
  dltensor_in->dtype = {kDLFloat, 32, 1};
  dltensor_in->shape = shape.data();
  dltensor_in->strides = strides.data();
  TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx);
  ASSERT_NE(handle, nullptr)

// for the first time.
TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;

  // ImmediateExecutionTensorHandles, but comes up for example when computing
  // the shape of a parallel tensor with component shapes differing across
  // devices.
  virtual Status Dim(int dim_index, int64_t* dim) const = 0;

  // Returns the device which created the handle.
  virtual const char* DeviceName(Status* status) const = 0;
  // Returns the device where the tensor was placed.

p!.&gro?lim?moc?pooc?ten?ude?vog???r&e&corg?grus?llag?viled??lewej?otcerid?tnuoc?uxul??s!.&gro?lim?moc?ten?ude?vog??pil??t&efas?i&c?ledif?nummoc!.&bdnevar,gon,murofym,??r&ahc?uces??srevinu??laer?r&ap!.oby,?eporp??uaeb??u!.&bug?gro?lim?moc!.topsgolb,?ten?ude??b!tseb???van?xes??z&a!.&eman?gro?lim?moc?o&fni?rp??pp?t&en?ni??ude?vog?zib???b!.&az,gro?jsg,moc?ten?ude?vog???c!.&4e,inum.duolc.&rsu,tlf,?m&laer,urtnecatem.motsuc,?oc,topsgolb,??d!.&cos?gro?lop?m&oc?t??ossa?t&en?ra??ude?vog???ib!.&duolcsd,e&...

  pull_request:
    types:
      - opened
      - synchronize

jobs:
  test-redistribute:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
      - name: Set up Python

  }
  auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx);
  AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1));
  ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get()));
  AbstractTensorHandle* expand_dims_outputs;
  TF_RETURN_IF_ERROR(
      ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims"));
  TF_RETURN_IF_ERROR(
      ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul"));

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   * @param lim the limit of bytes to process encoded as a long as big-endian, or -1 to mean the max
   *     limit for numBytes
   */
  @GwtIncompatible // java.nio.charset.Charset
  private static void testBytes(int numBytes, long expectedCount, long start, long lim) {
    byte[] bytes = new byte[numBytes];
    if (lim == -1) {
      lim = 1L << (numBytes * 8);
    }