# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools


# For Python 3.13t, do not install twine as it does not have pre-built wheels

	<property name="maven.snapshot.repo.url" value="https://central.sonatype.com/repository/maven-snapshots" />
	<property name="maven.release.repo.url" value="https://repo1.maven.org/maven2" />

	<target name="install.jars">
		<mkdir dir="${target.dir}" />
		<delete dir="${webinf.dir}/lib" />
		<mkdir dir="${webinf.dir}/lib" />
		<delete dir="${crawler.dir}/lib" />
		<mkdir dir="${crawler.dir}/lib" />

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...який також включає `uvicorn`, який ви можете використовувати як сервер, який запускає ваш код.

/// note

Ви також можете встановити його частина за частиною.

Це те, що ви, ймовірно, зробили б, коли захочете розгорнути свою програму у виробничому середовищі:

```
pip install fastapi
```

interface Downloader { public abstract void download(java.net.URI, java.io.File) throws Exception; } org/apache/maven/wrapper/Installer.class package org.apache.maven.wrapper; public synchronized class Installer { public static final String DEFAULT_DISTRIBUTION_PATH = wrapper/dists; private final Downloader download; private final PathAssembler pathAssembler; public void Installer(Downloader, PathAssembler); public java.io.File createDist(WrapperConfiguration) throws Exception; private java.util.List...

          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies
        run: pip install build
      - name: Build distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build
      - name: Publish

      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt -r requirements-translations.txt
      - name: Export Language Codes
        id: show-langs
        run: |

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.

#!/bin/bash

# The website is built using MkDocs with the Material theme.
# https://squidfunk.github.io/mkdocs-material/
# It requires Python to run.
# Install the packages with the following command:
# pip install mkdocs mkdocs-material mkdocs-redirects

set -ex

# Test generating the javadoc jars
./gradlew publishToMavenLocal -DRELEASE_SIGNING_ENABLED=false

# Generate the API docs
./gradlew dokkaHtmlMultiModule

        me.add(createMojoExecution("test", "default-test", TEST));
        me.add(createMojoExecution("war", "default-war", PACKAGE));
        me.add(createMojoExecution("install", "default-install", INSTALL));
        return createExecutionPlan(ProjectDependencyGraphStub.A.getExecutionProject(), me);
    }

    public static MavenExecutionPlan getProjectBExecutionPlan()