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licenses/github.com/mxk/go-flowrate/LICENSE
Copyright (c) 2014 The Go-FlowRate Authors. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright
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LICENSES/vendor/github.com/antlr4-go/antlr/v4/LICENSE
= vendor/github.com/antlr4-go/antlr/v4 licensed under: = Copyright (c) 2012-2023 The ANTLR Project. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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ci/official/envs/macos_x86_cross_compile
# Copyright 2023 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
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docs/fa/docs/tutorial/middleware.md
## ساخت یک میان افزار برای ایجاد یک میانافزار، از دکوریتور `@app.middleware("http")` در بالای یک تابع استفاده میشود. تابع میان افزار دریافت می کند: * `درخواست` * تابع `call_next` که `درخواست` را به عنوان پارامتر دریافت می کند * این تابع `درخواست` را به *path operation* مربوطه ارسال می کند. * سپس `پاسخ` تولید شده توسط *path operation* مربوطه را برمیگرداند.
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okhttp/src/main/kotlin/okhttp3/internal/http/CallServerInterceptor.kt
import okhttp3.internal.connection.Exchange import okhttp3.internal.http2.ConnectionShutdownException import okhttp3.internal.stripBody import okio.buffer /** This is the last interceptor in the chain. It makes a network call to the server. */ class CallServerInterceptor(private val forWebSocket: Boolean) : Interceptor { @Throws(IOException::class) override fun intercept(chain: Interceptor.Chain): Response {
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docs/en/docs/advanced/index.md
# Advanced User Guide ## Additional Features The main [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} should be enough to give you a tour through all the main features of **FastAPI**. In the next sections you will see other options, configurations, and additional features. !!! tip The next sections are **not necessarily "advanced"**. And it's possible that for your use case, the solution is in one of them.
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tensorflow/c/experimental/filesystem/BUILD
# Experimental filesystem C APIs for TensorFlow. # Will be moved in proper place once all filesystems are converted to the # modular framework. load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface",
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okhttp/src/test/java/okhttp3/internal/concurrent/TaskRunnerRealBackendTest.kt
import org.junit.jupiter.api.AfterEach import org.junit.jupiter.api.Tag import org.junit.jupiter.api.Test /** * Integration test to confirm that [TaskRunner] works with a real backend. Business logic is all * exercised by [TaskRunnerTest]. * * This test is doing real sleeping with tolerances of 250 ms. Hopefully that's enough for even the * busiest of CI servers. */ @Tag("Slowish") class TaskRunnerRealBackendTest {
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docs/id/docs/tutorial/index.md
Langkah pertama adalah dengan meng-install FastAPI. Untuk tutorial, kamu mungkin hendak meng-installnya dengan semua pilihan fitur dan dependensinya: <div class="termy"> ```console $ pip install "fastapi[all]" ---> 100% ``` </div> ...yang juga termasuk `uvicorn`, yang dapat kamu gunakan sebagai server yang menjalankan kodemu. !!! note "Catatan" Kamu juga dapat meng-installnya bagian demi bagian.
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docs/es/docs/tutorial/index.md
El primer paso es instalar FastAPI. Para el tutorial, es posible que quieras instalarlo con todas las dependencias y características opcionales: <div class="termy"> ```console $ pip install "fastapi[all]" ---> 100% ``` </div> ...eso también incluye `uvicorn` que puedes usar como el servidor que ejecuta tu código. !!! note "Nota" También puedes instalarlo parte por parte.
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