@PathSensitive(PathSensitivity.RELATIVE)
    val samplesDir = gradleInstallationForTest.gradleSnippetsDir

    override fun setClasspath(classpath: FileCollection) {
        /*
         * The 'kotlin-daemon-client.jar' repackages 'native-platform' with all its binaries.
         * Here we make sure it is placed at the end of the test classpath so that we do not accidentally

# Packages needed to install Python from source
# See https://github.com/pyenv/pyenv/wiki#suggested-build-environment
build-essential
curl
libbz2-dev
libffi-dev
liblzma-dev
libncurses5-dev
libreadline-dev
libsqlite3-dev
libssl-dev
libxml2-dev
libxmlsec1-dev
llvm
make
openssl
tk-dev
wget
xz-utils
zlib1g-dev
git

# Packages needed to build devtoolset
file
flex
g++
make
patch
rpm2cpio

imported normally and vendored by the standard library.

Vendored packages are internally renamed with a "vendor/" prefix
to preserve the invariant that all packages have distinct paths.
This is necessary to avoid compiler and linker conflicts. Adding
a "vendor/" prefix also maintains the invariant that standard
library packages begin with a dotless path element.

The module requirements of std and cmd do not influence version

NUMPY_ANNOTATIONS = {
    "numpy": package_annotation(
        additive_build_content = """\
filegroup(
    name = "includes",
    srcs = glob(["site-packages/numpy/core/include/**/*.h"]),
)
cc_library(
    name = "numpy_headers",
    hdrs = [":includes"],
    strip_include_prefix="site-packages/numpy/core/include/",
)
""",
    ),
}

pip_parse(
    name = "pypi",
    annotations = NUMPY_ANNOTATIONS,

* Es enthält eine Datei `app/main.py`. Da sie sich in einem Python-Package (einem Verzeichnis mit einer Datei `__init__.py`) befindet, ist sie ein „Modul“ dieses Packages: `app.main`.
* Es gibt auch eine Datei `app/dependencies.py`, genau wie `app/main.py` ist sie ein „Modul“: `app.dependencies`.

    #  The class package is 'this property value + detail package value'.
    #  However, detail packages have default value so basically
    #  you only have to specify the property 'packageBase'.
    #  If this property is specified and detail package properties is not specified, 
    #  Then the packages of generated class are as follows:
    #
    #  e.g. packageBase = org.docksidestage.dbflute

    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for) development. Use TF SIG Build Dockerfiles in
    development to avoid installing the packages directly on your system (in

# Hermetic Python

Hermetic Python allows not to rely on system-installed Python, and
system-installed Python packages. \
Instead, an independent Python toolchain is registered, ensuring the right
dependencies are always used. \
See https://github.com/bazelbuild/rules_python/ for more details.

### Specifying the Python version

Note: Only a number of minor Python versions are supported at any given time.

In fast jedem Framework wird die Handhabung der Sicherheit recht schnell zu einem ziemlich komplexen Thema.

Viele Packages, die es stark vereinfachen, müssen viele Kompromisse beim Datenmodell, der Datenbank und den verfügbaren Funktionen eingehen. Und einige dieser Pakete, die die Dinge zu sehr vereinfachen, weisen tatsächlich Sicherheitslücken auf.

---

    $ ./bin/fess

For more details, see the [Installation Guide](https://fess.codelibs.org/14.12/install/index.html).

### Docker

We provide Docker images on [ghcr.io](https://github.com/orgs/codelibs/packages). We also provide a Docker Compose (YAML) file in [this repository](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Browser UI

- Search UI: http://localhost:8080/