venv_dir=$(mktemp -d)
if [[ $(uname -s) != MSYS_NT* ]]; then
  "python${TFCI_PYTHON_VERSION}" -m venv "$venv_dir"
  python="$venv_dir/bin/python3"
else
  # When using the Linux-like path, venv creation quietly fails, which is
  # why it's converted here.
  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

자세한 내용은 <a href="https://docs.python.org/3/library/__main__.html" class="external-link" target="_blank">공식 Python 문서</a>를 확인하세요

///

## 디버거로 코드 실행

코드에서 직접 Uvicorn 서버를 실행하고 있기 때문에 디버거에서 직접 Python 프로그램(FastAPI 애플리케이션)을 호출할 수 있습니다.

---

예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다.

* "Debug" 패널로 이동합니다.
* "Add configuration...".
* "Python"을 선택합니다.
* "`Python: Current File (Integrated Terminal)`" 옵션으로 디버거를 실행합니다.

if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python3 tensorflow/tools/ci_build/update_version.py --nightly
fi

# This generates a pure python wheel of the format "*-py3-none-any.whl"
bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR"

# Get the name of the pure python wheel that was built. This should
# resolve to either

  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  pyenv install -s "3.11"
  if [[ $? -eq 0 ]]; then
    pyenv local "3.11"
    export CLOUDSDK_PYTHON=$(pyenv which python3.11)
  else
    echo "Python 3.11 not found, falling back to system python"
    export CLOUDSDK_PYTHON=$(which python3)

### Nowoczesny Python

Wszystko opiera się na standardowych deklaracjach typu **Python 3.8** (dzięki Pydantic). Brak nowej składni do uczenia. Po prostu standardowy, współczesny Python.

Jeśli potrzebujesz szybkiego przypomnienia jak używać deklaracji typów w Pythonie (nawet jeśli nie używasz FastAPI), sprawdź krótki samouczek: [Python Types](python-types.md){.internal-link target=_blank}.

* <a href="https://github.com/Kludex/python-multipart" target="_blank"><code>python-multipart</code></a> - Wymagane jeżelich chcesz wsparcie <abbr title="przetwarzania stringa którzy przychodzi z żądaniem HTTP na dane używane przez Pythona">"parsowania"</abbr> formularzy, używając `request.form()`.

#!/usr/bin/env bash

set -e
set -o pipefail

if [ -z "$PYTHON_BIN_PATH" ]; then
  PYTHON_BIN_PATH=$(which python3 || which python || true)
fi

# Set all env variables
CONFIGURE_DIR=$(dirname "$0")
"$PYTHON_BIN_PATH" "${CONFIGURE_DIR}/configure.py" "$@"

## Example using Python API

### 1. Prerequisites

- Install MinIO Server from [here](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html#procedure).
- Familiarity with AWS S3 API.
- Familiarity with Python and installing dependencies.

### 2. Install boto3

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
fi

if [[ $(uname -s) != MSYS_NT* ]]; then

# Each failed target there will have its own representation, making failures
# easier to find and read.
function resultstore_extract {
  local PYTHON_BIN XML_PATH
  PYTHON_BIN=$(which python3 2>/dev/null || which python)
  XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml"

  "$PYTHON_BIN" \
    "$TFCI_GIT_DIR/ci/official/utilities/extract_resultstore_links.py" \
    "$TFCI_OUTPUT_DIR/script.log" \