#ifndef TENSORFLOW_C_EXPERIMENTAL_NEXT_PLUGGABLE_DEVICE_C_API_H_
#define TENSORFLOW_C_EXPERIMENTAL_NEXT_PLUGGABLE_DEVICE_C_API_H_

#include <cstdint>

#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/kernels.h"
#include "tensorflow/c/kernels_experimental.h"
#include "tensorflow/c/tf_buffer.h"
#include "tensorflow/c/tf_status.h"
#include "xla/pjrt/c/pjrt_c_api.h"

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

!!! check "Inspired **FastAPI** to"
    Be a micro-framework. Making it easy to mix and match the tools and parts needed.

    Have a simple and easy to use routing system.


### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

#ifndef TENSORFLOW_C_C_API_EXPERIMENTAL_H_
#define TENSORFLOW_C_C_API_EXPERIMENTAL_H_

#include <stddef.h>
#include <stdint.h>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/eager/c_api.h"

// --------------------------------------------------------------------------
// Experimental C API for TensorFlow.
//
// The API here is subject to changes in the future.

    Kullanıcılar için otomatik API dökümantasyonu sunan bir web arayüzüne sahip olmalı.

### <a href="https://flask.palletsprojects.com" class="external-link" target="_blank">Flask</a>

Flask bir <abbr title="Mikro Framework: Micro Framework">mikro framework</abbr> olduğundan Django gibi framework'lerin aksine veritabanı entegrasyonu gibi Django ile gelen pek çok özelliği direkt barındırmaz.

  logo: img/icon-white.svg
  favicon: img/favicon.png
  language: en
repo_name: tiangolo/fastapi
repo_url: https://github.com/tiangolo/fastapi
edit_uri: ''
plugins:
  search: null
  macros:
    include_yaml:
    - external_links: ../en/data/external_links.yml
    - github_sponsors: ../en/data/github_sponsors.yml
    - people: ../en/data/people.yml
    - sponsors_badge: ../en/data/sponsors_badge.yml

		return nil, nil, errInvalidArgument
	}

	// prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks.
	// All times are rounded to avoid showing milli, micro and nano seconds
	formatStartTime := time.Now().Round(time.Second)
	getElapsedTime := func() string {
		return time.Now().Round(time.Second).Sub(formatStartTime).String()
	}

	var (
		tries   int

With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.

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pkg debug/elf, const R_RISCV_TPREL_S R_RISCV
pkg debug/elf, method (R_RISCV) GoString() string
pkg debug/elf, method (R_RISCV) String() string
pkg debug/elf, type R_RISCV int
pkg debug/macho, const CpuArm64 = 16777228
pkg debug/macho, const CpuArm64 Cpu
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_ARCHITECTURE = 7
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_ARCHITECTURE ideal-int
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_BASERELOC = 5

Com **FastAPI** você terá todos os recursos do **Pydantic** (já que FastAPI utiliza o Pydantic para todo o controle dos dados):

* **Sem pegadinhas**:
    * Sem novas definições de esquema de micro-linguagem para aprender.
    * Se você conhece os tipos do Python, você sabe como usar o Pydantic.