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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], default_visibility = ["//visibility:private"], licenses = ["notice"], ) # Filesystem implementation for POSIX environments: Linux, MacOS, Android, etc. tf_cc_shared_object( name = "libposix_filesystem.so", framework_so = [], linkstatic = False, visibility = ["//visibility:public"], deps = [":posix_filesystem_impl"], )
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docs/zh/docs/advanced/settings.md
因此,通常会将它们提供为由应用程序读取的环境变量。 ## 环境变量 !!! tip 如果您已经知道什么是"环境变量"以及如何使用它们,请随意跳到下面的下一节。 环境变量(也称为"env var")是一种存在于 Python 代码之外、存在于操作系统中的变量,可以被您的 Python 代码(或其他程序)读取。 您可以在 shell 中创建和使用环境变量,而无需使用 Python: === "Linux、macOS、Windows Bash" <div class="termy"> ```console // 您可以创建一个名为 MY_NAME 的环境变量 $ export MY_NAME="Wade Wilson" // 然后您可以与其他程序一起使用它,例如 $ echo "Hello $MY_NAME" Hello Wade Wilson
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tensorflow/c/experimental/grappler/BUILD
) cc_library( name = "grappler_hdrs", hdrs = ["grappler.h"], visibility = ["//tensorflow:internal"], deps = [ "//tensorflow/c:c_api", "//tensorflow/c:c_api_macros", "//tensorflow/c:tf_status_headers", ], ) cc_library( name = "grappler", srcs = ["grappler.cc"], hdrs = [ "grappler.h", "grappler_internal.h", ],
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docs/works_with_okhttp.md
* [okhttp-system-keystore](https://github.com/charleskorn/okhttp-system-keystore): Use trusted certificates from the operating system keystore (Keychain on macOS, Certificate Store on Windows). * ⬜️ [Okio](https://github.com/square/okio/): A modern I/O API for Java.
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docs/orchestration/docker-compose/README.md
### GNU/Linux and macOS ```sh docker-compose pull docker-compose up ``` or ```sh docker stack deploy --compose-file docker-compose.yaml minio ``` ### Windows ```sh docker-compose.exe pull
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README.md
## macOS Use the following commands to run a standalone MinIO server on macOS.
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requirements-docs.txt
pillow==10.3.0 # For image processing by Material for MkDocs cairosvg==2.7.0 mkdocstrings[python]==0.24.3 griffe-typingdoc==0.2.2 # For griffe, it formats with black black==24.3.0
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tensorflow/c/eager/BUILD
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(
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docs/pt/docs/contributing.md
``` </div> Isso criará o diretório `./env/` com os binários Python e então você será capaz de instalar pacotes nesse ambiente isolado. ### Ativar o ambiente Ative o novo ambiente com: === "Linux, macOS" <div class="termy"> ```console $ source ./env/bin/activate ``` </div> === "Windows PowerShell" <div class="termy"> ```console
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docs/de/docs/advanced/settings.md
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