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docs/de/docs/contributing.md
### Virtuelle Umgebung mit `venv` Sie können mit dem Python-Modul `venv` in einem Verzeichnis eine isolierte virtuelle lokale Umgebung erstellen. Machen wir das im geklonten Repository (da wo sich die `requirements.txt` befindet): <div class="termy"> ```console $ python -m venv env ``` </div>
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docs/en/docs/contributing.md
### Virtual environment with `venv` You can create an isolated virtual local environment in a directory using Python's `venv` module. Let's do this in the cloned repository (where the `requirements.txt` is): <div class="termy"> ```console $ python -m venv env ``` </div>
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docs/fr/docs/contributing.md
### Environnement virtuel avec `venv` Vous pouvez créer un environnement virtuel dans un répertoire en utilisant le module `venv` de Python : <div class="termy"> ```console $ python -m venv env ``` </div> Cela va créer un répertoire `./env/` avec les binaires Python et vous pourrez alors installer des paquets pour cet environnement isolé.
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docs/zh/docs/contributing.md
## 开发 如果你已经克隆了源码仓库,并且需要深入研究代码,下面是设置开发环境的指南。 ### 通过 `venv` 管理虚拟环境 你可以使用 Python 的 `venv` 模块在一个目录中创建虚拟环境: <div class="termy"> ```console $ python -m venv env ``` </div> 这将使用 Python 程序创建一个 `./env/` 目录,然后你将能够为这个隔离的环境安装软件包。 ### 激活虚拟环境 使用以下方法激活新环境: === "Linux, macOS" <div class="termy"> ```console $ source ./env/bin/activate ``` </div>
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docs/em/docs/contributing.md
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docs/ja/docs/contributing.md
### `venv`を使用した仮想環境 Pythonの`venv`モジュールを使用して、ディレクトリに仮想環境を作成します: <div class="termy"> ```console $ python -m venv env ``` </div> これにより、Pythonバイナリを含む`./env/`ディレクトリが作成され、その隔離された環境にパッケージのインストールが可能になります。 ### 仮想環境の有効化 新しい環境を有効化するには: === "Linux, macOS" <div class="termy"> ```console $ source ./env/bin/activate ``` </div>
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docs/pt/docs/contributing.md
### Ambiente virtual com `venv` Você pode criar um ambiente virtual em um diretório utilizando o módulo `venv` do Python: <div class="termy"> ```console $ python -m venv env ``` </div> Isso criará o diretório `./env/` com os binários Python e então você será capaz de instalar pacotes nesse ambiente isolado. ### Ativar o ambiente
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ci/official/containers/linux_arm64/Dockerfile
RUN groupadd -g 1001 buildslave && useradd -m -u 1001 -g buildslave buildslave RUN mkdir -p /tf/venv RUN chown -R buildslave:buildslave /tf RUN dpkg -i /patchelf/patchelf_0.14.3-1_arm64.deb # All lines past this point are reset when $CACHEBUSTER is set. We need this
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tensorflow/c/env.h
#ifndef TENSORFLOW_C_ENV_H_ #define TENSORFLOW_C_ENV_H_ #include <stdbool.h> #include <stddef.h> #include <stdint.h> #include "tensorflow/c/c_api_macros.h" #include "tensorflow/c/tf_file_statistics.h" #include "tensorflow/c/tf_status.h" // -------------------------------------------------------------------------- // C API for tensorflow::Env. #ifdef __cplusplus extern "C" { #endif
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src/main/java/org/codelibs/fess/mylasta/direction/FessEnv.java
defaultMap.put(FessEnv.lasta_di_SMART_DEPLOY_MODE, "warm"); defaultMap.put(FessEnv.DEVELOPMENT_HERE, "true"); defaultMap.put(FessEnv.ENVIRONMENT_TITLE, "Local Development"); defaultMap.put(FessEnv.FRAMEWORK_DEBUG, "false"); defaultMap.put(FessEnv.TIME_ADJUST_TIME_MILLIS, "0"); defaultMap.put(FessEnv.MAIL_SEND_MOCK, "true");
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