val lengthByteCount = (lengthBitCount + 7) / 8
      sink.writeByte(0b1000_0000 or lengthByteCount)
      for (shift in (lengthByteCount - 1) * 8 downTo 0 step 8) {
        sink.writeByte((length shr shift).toInt())
      }
    }

    // Write the payload.
    sink.writeAll(content)
  }

  /**

      id-token: write
      # Uncomment the permissions below if installing in a private repository.
      # contents: read
      # actions: read

    steps:
      - name: "Checkout code"
        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
        with:
          persist-credentials: false

      - name: "Run analysis"

// Some TF ops need a step container to be set to limit the lifetime of some
// resources (mostly TensorArray and Stack, used in while loop gradients in
// graph mode). Calling this on a context tells it to start a step.
TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx);

// Ends a step. When there is no active step (that is, every started step has

name: "Validate Gradle Wrapper"
on: [push]

jobs:
  validation:
    name: "Validation"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2

      append("\n")
    }
  }

internal fun commonHeadersGet(
  namesAndValues: Array<String>,
  name: String,
): String? {
  for (i in namesAndValues.size - 2 downTo 0 step 2) {
    if (name.equals(namesAndValues[i], ignoreCase = true)) {
      return namesAndValues[i + 1]
    }
  }
  return null
}

internal fun Headers.Builder.commonAdd(
  name: String,
  value: String,

# Tutorial - User Guide { #tutorial-user-guide }

This tutorial shows you how to use **FastAPI** with most of its features, step by step.

Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go directly to any specific one to solve your specific API needs.

It is also built to work as a future reference so you can come back and see exactly what you need.

## Run the code { #run-the-code }

namespace gradients {

using namespace std;

// ================== Helper functions =================

// Fills data with values [start,end) with given step size.
void Range(vector<int32_t>* data, int32_t start, int32_t end,
           int32_t step = 1) {
  for (int32_t i = start; i < end; i += step) {
    (*data)[i] = i;
  }
}

// Fills out_dims with the dimensions of the given tensor.
void GetDims(const TF_Tensor* t, int64_t* out_dims) {

name: 'Lock Threads'

on:
  schedule:
    - cron: '0 0 * * *'
  workflow_dispatch:

permissions:
  issues: write

concurrency:
  group: lock

jobs:
  action:
    runs-on: ubuntu-latest
    steps:
      - uses: dessant/lock-threads@v3
        with:
          github-token: ${{ github.token }}
          issue-inactive-days: '365'
          exclude-any-issue-labels: 'do-not-close'

name: publish

on:
  push:
    tags:
      - '**'

env:
  GRADLE_OPTS: "-Dorg.gradle.jvmargs=-Xmx4g -Dorg.gradle.daemon=false -Dkotlin.incremental=false"

jobs:
  publish:
    runs-on: macos-15

    steps:
      - uses: actions/checkout@v6
      - uses: actions/setup-java@v5
        with:
          distribution: 'temurin'
          java-version-file: .github/workflows/.java-version

      - run: ./gradlew publish

{* ../../docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py hl[4,18] *}

### Migrate in steps { #migrate-in-steps }

/// tip

First try with `bump-pydantic`, if your tests pass and that works, then you're done in one command. ✨

///