RUN minisign -Vqm /go/bin/minio -x /go/bin/minio.minisig -P RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGav

FROM registry.access.redhat.com/ubi9/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <******@****.***>" \
      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \

    deps = [
        ":immediate_execution_context",
        "//tensorflow/c:conversion_macros",
    ],
)

cc_library(
    name = "tfe_cancellation_manager_internal",
    hdrs = ["tfe_cancellation_manager_internal.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c:conversion_macros",
        "//tensorflow/core:framework",
    ],
)

cc_library(

    minisign -Vqm /go/bin/mc -x /go/bin/mc.minisig -P RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGav

FROM registry.access.redhat.com/ubi8/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <******@****.***>" \
      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \

01DF          ; valid                                  # 1.1  LATIN SMALL LETTER A WITH DIAERESIS AND MACRON
01E0          ; mapped                 ; 01E1          # 1.1  LATIN CAPITAL LETTER A WITH DOT ABOVE AND MACRON
01E1          ; valid                                  # 1.1  LATIN SMALL LETTER A WITH DOT ABOVE AND MACRON

    minisign -Vqm /go/bin/mc -x /go/bin/mc.minisig -P RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGav

FROM registry.access.redhat.com/ubi9/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <******@****.***>" \
      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \

#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>

    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