# because builds may run concurrently with tests, and tests need to be
        # able to assume that they have control of the full GPU.
        out_nodes_file = "out_nodes_" + freeze_name
        native.genrule(
            name = ("gen_" + out_nodes_file),
            srcs = [config],
            outs = [out_nodes_file],
            cmd = ("CUDA_VISIBLE_DEVICES='' " +
                   "$(location " + tfcompile_tool + ")" +

)

# Filter the DEF file to reduce the number of symbols to 64K or less.
# Note that we also write the name of the pyd file into DEF file so that
# the dynamic libraries of custom ops can find it at runtime.
genrule(
    name = "tensorflow_filtered_def_file",
    srcs = [":tensorflow_def_file"],
    outs = ["tensorflow_filtered_def_file.def"],
    cmd = select({
        "//tensorflow:windows": """

# are present on the local host machine but not on the remote execution machine,
# leading to build failures. To resolve the issue, the following line is added
# to make sure all Genrule targets are excuted locally.
build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
build:rbe_cross_compile_base_xla --strategy=Genrule=standalone

    TF_ASSIGN_OR_RETURN(std::unique_ptr<xla::HloSnapshot> module,
                        computation.Snapshot());
    // Serialize the HloSnapshot deterministically so that all the outputs of a
    // tf_library genrule are deterministic.
    const size_t size = module->ByteSizeLong();
    auto serialized = std::make_unique<char[]>(size);
    TF_RET_CHECK(
        SerializeToBufferDeterministic(*module, serialized.get(), size));

)

py_strict_binary(
    name = "gen_quantized_function_library",
    srcs = ["gen_quantized_function_library.py"],
    deps = [
        "@absl_py//absl:app",
        "@absl_py//absl/flags",
    ],
)

genrule(
    name = "quantized_function_library",
    srcs = [
        "passes/quantized_function_library_uniform_quantized.mlir",
        "passes/quantized_function_library.mlir",

	// needed, use GetUID.
	GetName() string
	// GetClientConfig gets the webhook ClientConfig field.
	GetClientConfig() v1.WebhookClientConfig
	// GetRules gets the webhook Rules field.
	GetRules() []v1.RuleWithOperations
	// GetFailurePolicy gets the webhook FailurePolicy field.
	GetFailurePolicy() *v1.FailurePolicyType
	// GetMatchPolicy gets the webhook MatchPolicy field.

			families := []int{unix.AF_INET}
			if cfg.EnableIPv6 {
				families = append(families, unix.AF_INET6)
			}
			for _, family := range families {
				r := netlink.NewRule()
				r.Family = family
				r.Table = tproxyTable
				r.Mark = tproxyMark
				if err := netlink.RuleAdd(r); err != nil {
					return fmt.Errorf("failed to configure netlink rule: %v", err)
				}
			}

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

### OpenAPI

**FastAPI** generuje "schemat" z całym Twoim API przy użyciu standardu **OpenAPI** służącego do definiowania API.

#### Schema

"Schema" jest definicją lub opisem czegoś. Nie jest to kod, który go implementuje, ale po prostu abstrakcyjny opis.

	matches, matchObjErr := a.objectMatcher.MatchObjectSelector(h, attr)
	if !matches && matchObjErr == nil {
		return nil, nil
	}

	var invocation *WebhookInvocation
	for _, r := range h.GetRules() {
		m := rules.Matcher{Rule: r, Attr: attr}
		if m.Matches() {
			invocation = &WebhookInvocation{
				Webhook:     h,
				Resource:    attr.GetResource(),
				Subresource: attr.GetSubresource(),

		// A very similar mechanism is used for sidecar TPROXY.
		//
		// TODO largely identical/copied from tools/istio-iptables/pkg/capture/run_linux.go
		inpodMarkRule := netlink.NewRule()
		inpodMarkRule.Family = family
		inpodMarkRule.Table = RouteTableInbound
		inpodMarkRule.Mark = InpodTProxyMark
		inpodMarkRule.Mask = InpodTProxyMask
		inpodMarkRule.Priority = 32764