filegroup(
    name = "checkpoint_reader_hdrs",
    srcs = [
        "checkpoint_reader.h",
        "tf_status_helper.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

tf_cuda_library(
    name = "tf_status_helper",
    srcs = ["tf_status_helper.cc"],
    hdrs = ["tf_status_helper.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tf_status_headers",

http://foo:-80/
https://foo:443/  s:https h:foo p:/
https://foo:80/  s:https h:foo port:80 p:/
ftp://foo:21/  s:ftp h:foo p:/
ftp://foo:80/  s:ftp h:foo port:80 p:/
gopher://foo:70/  s:gopher h:foo p:/
gopher://foo:443/  s:gopher h:foo port:443 p:/
ws://foo:80/  s:ws h:foo p:/
ws://foo:81/  s:ws h:foo port:81 p:/
ws://foo:443/  s:ws h:foo port:443 p:/
ws://foo:815/  s:ws h:foo port:815 p:/

  integrity sha512-z3nFzdcp1mb8nEOFFk8DrYLpHvhKC3grJD2ardfKOzmbmJvEf/tPIqCY+sNcwZIY8ZD7IkB2l7/pqhUhqm7hLA==

"@webassemblyjs/helper-numbers@1.11.6":
  version "1.11.6"
  resolved "https://registry.yarnpkg.com/@webassemblyjs/helper-numbers/-/helper-numbers-1.11.6.tgz#cbce5e7e0c1bd32cf4905ae444ef64cea919f1b5"

Various components described in Config Ingestion can trigger a Config Update. These are batched up ("debounced"), to avoid excessive activity when many changes happen in succession, and eventually enqueued in the Push Queue.

    # convert to modular filesystems everywhere
    visibility = ["//visibility:public"],
    deps = [
        ":filesystem_interface",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/core/platform:env",
        "//tensorflow/core/platform:errors",
        "//tensorflow/core/platform:status",
        "@local_tsl//tsl/platform:errors",

        "//tensorflow/c:c_api_macros",
        "//tensorflow/c:tf_buffer",
        "//tensorflow/c:tf_buffer_internal",
        "//tensorflow/c:tf_status",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/core:framework",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core/grappler:grappler_item",
        "//tensorflow/core/grappler/costs:graph_properties",

Wliczając w to zewnętrzne biblioteki, również oparte o Pydantic, takie jak <abbr title="Mapowanie obiektowo-relacyjne. Po angielsku: Object-Relational Mapper">ORM</abbr>, <abbr title="Object-Document Mapper">ODM</abbr> dla baz danych.

Oznacza to, że w wielu przypadkach możesz przekazać ten sam obiekt, który otrzymasz z żądania **bezpośrednio do bazy danych**, ponieważ wszystko jest walidowane automatycznie.

Включая внешние библиотеки, также основанные на Pydantic, такие как: <abbr title="Object-Relational Mapper">ORM'ы</abbr>, <abbr title="Object-Document Mapper">ODM'ы</abbr> для баз данных.

Esto incluye a librerías externas basadas en Pydantic como <abbr title="Object-Relational Mapper">ORM</abbr>s y <abbr title="Object-Document Mapper">ODM</abbr>s para bases de datos.

از جمله کتابخانه های خارجی نیز مبتنی بر Pydantic میتوان به <abbr title="Object-Relational Mapper">ORM</abbr> و <abbr title="Object-Document Mapper">ODM</abbr> ها برای دیتابیس ها اشاره کرد.

این همچنین به این معناست که در خیلی از موارد میتوانید همان ابجکتی که از request میگیرید را **مستقیما به دیتابیس** بفرستید زیرا همه چیز به طور خودکار تأیید میشود.