# Setup Python
COPY setup.python.sh /setup.python.sh
COPY builder.requirements.txt /builder.requirements.txt
RUN /setup.python.sh python3.10 /builder.requirements.txt
RUN /setup.python.sh python3.11 /builder.requirements.txt
RUN /setup.python.sh python3.13 /builder.requirements.txt
RUN /setup.python.sh python3.13-nogil /builder.requirements.txt
RUN /setup.python.sh python3.14 /builder.requirements.txt

        Install-Python -version $v.version -prependPath $v.prependPath; \
    }; \
    Write-Host 'Python installations complete.';

# Add a python3 symlink for the Python in PATH.
# It's not feasible to add one for each version, as on Windows,
# Python uses PATH and the binary's (symlink's) location, to launch itself.
RUN C:\tools\msys64\usr\bin\bash.exe -lc 'ln -s /c/Python3.13/python.exe /usr/bin/python3';

        ComponentUtil.register(testProcessHelper, "processHelper");

        testFessConfig = new TestFessConfig() {
            @Override
            public String getPythonCommandPath() {
                return "python3";
            }
        };
        ComponentUtil.setFessConfig(testFessConfig);

        testServletContext = new TestServletContext();

# BEGIN TF TEST SUITE OPTIONS
# These are convenience config options that effectively declare TF's CI test suites. Look
# at the scripts of ci/official/ to see how TF's CI uses them.

# PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel
# will work properly. These are usually run Nightly or upon Release.
# CPU WHEEL

# Einführung in Python-Typen { #python-types-intro }

Python hat Unterstützung für optionale „Typhinweise“ (auch „Typannotationen“ genannt).

Diese **„Typhinweise“** oder -Annotationen sind eine spezielle Syntax, die es erlaubt, den <dfn title="zum Beispiel: str, int, float, bool">Typ</dfn> einer Variablen zu deklarieren.

Durch das Deklarieren von Typen für Ihre Variablen können Editoren und Tools bessere Unterstützung bieten.

    [`tf.dtypes`](https://www.tensorflow.org/versions/master/api_docs/python/tf/dtypes),
    [`tf.image`](https://www.tensorflow.org/versions/master/api_docs/python/tf/image),
    [`tf.io`](https://www.tensorflow.org/versions/master/api_docs/python/tf/io),
    [`tf.linalg`](https://www.tensorflow.org/versions/master/api_docs/python/tf/linalg),

# Python Types Intro { #python-types-intro }

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <dfn title="for example: str, int, float, bool">type</dfn> of a variable.

By declaring types for your variables, editors and tools can give you better support.

# Introducción a Tipos en Python { #python-types-intro }

Python tiene soporte para "anotaciones de tipos" opcionales (también llamadas "type hints").

Estas **"anotaciones de tipos"** o type hints son una sintaxis especial que permite declarar el <dfn title="por ejemplo: str, int, float, bool">tipo</dfn> de una variable.

Al declarar tipos para tus variables, los editores y herramientas te pueden proporcionar un mejor soporte.

# Introdução aos tipos Python { #python-types-intro }

O Python possui suporte para "type hints" opcionais (também chamados de "type annotations").

Esses **"type hints"** ou anotações são uma sintaxe especial que permite declarar o <dfn title="por exemplo: str, int, float, bool">tipo</dfn> de uma variável.

Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.

# Введение в типы Python { #python-types-intro }

Python поддерживает необязательные «подсказки типов» (их также называют «аннотациями типов»).

Эти **«подсказки типов»** или аннотации — это специальный синтаксис, позволяющий объявлять <dfn title="например: str, int, float, bool">тип</dfn> переменной.

Объявляя типы для ваших переменных, редакторы кода и инструменты смогут лучше вас поддерживать.