}
                )
            ]
        }
    )


def test_header_param_model_extra(client: TestClient):
    response = client.get(
        "/items/", headers=[("save-data", "true"), ("tool", "plumbus")]
    )
    assert response.status_code == 200, response.text
    assert response.json() == snapshot(
        {
            "host": "testserver",
            "save_data": True,

package cmd

import (
	"context"
	"reflect"
	"testing"
)

func TestServerConfigFile(t *testing.T) {
	for _, testcase := range []struct {
		config      string
		expectedErr bool
		hash        string
	}{
		{
			config:      "testdata/config/1.yaml",
			expectedErr: false,
			hash:        "hash:02bf70285dc71f76",
		},
		{
			config:      "testdata/config/2.yaml",

// license that can be found in the LICENSE file.

package asm

import (
	"cmd/asm/internal/lex"
	"strings"
	"testing"
	"text/scanner"
)

type exprTest struct {
	input  string
	output int64
	atEOF  bool
}

var exprTests = []exprTest{
	// Simple
	{"0", 0, true},
	{"3", 3, true},
	{"070", 8 * 7, true},
	{"0x0f", 15, true},
	{"0xFF", 255, true},

  // one PriorityClasses exists with their `globalDefault` field set to true,
  // the smallest value of such global default PriorityClasses will be used as the default priority.
  // +optional
  optional bool globalDefault = 3;

  // description is an arbitrary string that usually provides guidelines on
  // when this priority class should be used.
  // +optional
  optional string description = 4;

```txt
fastapi[standard]>=0.112.0,<0.113.0
```

that would mean that you would use the versions `0.112.0` or above, but less than `0.113.0`, for example, a version `0.112.2` would still be accepted.

If you use any other tool to manage your installations, like `uv`, Poetry, Pipenv, or others, they all have a way that you can use to define specific versions for your packages.

## Available versions

func RegisterSerializer(name string, serializer SerializerInterface) {
	serializerMap.Store(strings.ToLower(name), serializer)
}

// GetSerializer get serializer
func GetSerializer(name string) (serializer SerializerInterface, ok bool) {
	v, ok := serializerMap.Load(strings.ToLower(name))
	if ok {
		serializer, ok = v.(SerializerInterface)
	}
	return serializer, ok
}

func init() {
	RegisterSerializer("json", JSONSerializer{})

# - bazelisk: always use the correct bazel version
# - buildifier: clean bazel build deps
# - buildozer: clean bazel build deps
# - gcloud SDK: communicate with Google Cloud Platform (GCP) for RBE, CI
# - patchelf: Utility tool to modify existing ELF executables and libraries
RUN git clone --branch v1.11.0 https://github.com/bats-core/bats-core.git && bats-core/install.sh /usr/local && rm -rf bats-core

        new TensorSliceReader::VarToShapeMap(reader_->GetVariableToShapeMap()));
    var_to_data_type_map_.reset(new TensorSliceReader::VarToDataTypeMap(
        reader_->GetVariableToDataTypeMap()));
  }
}

bool CheckpointReader::HasTensor(const string& name) const {
  if (reader_ != nullptr) {
    return reader_->HasTensor(name, nullptr, nullptr);
  }
  return v2_reader_->Contains(name);
}

)

// String returns string representation of status
func (s StatusType) String() string {
	return string(s)
}

// Empty returns true if this status is not set
func (s StatusType) Empty() bool {
	return string(s) == ""

 */
absl::Status CalcNumericalGrad(AbstractContext* ctx, Model forward,
                               absl::Span<AbstractTensorHandle* const> inputs,
                               int input_index, bool use_function,
                               AbstractTensorHandle** numerical_grad);

}  // namespace gradients
}  // namespace tensorflow