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ci/official/utilities/setup_macos.sh
pyenv install -s "$TFCI_PYTHON_VERSION" pyenv local "$TFCI_PYTHON_VERSION" # Do a sanity check to make sure that we using the correct Python version python --version fi # TFCI Mac VM images do not have twine installed by default so we need to # install it manually. We use Twine in nightly builds to upload Python packages # to PyPI. if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then pip install twine==3.6.0
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
bin/init.sh
# Set the value of DOWNLOAD_COMMAND (either curl or wget) set_download_command if [[ -n "${DEBUG_IMAGE:-}" ]]; then # Download and extract the Envoy linux debug binary. download_envoy_if_necessary "${ISTIO_ENVOY_LINUX_DEBUG_URL}" "$ISTIO_ENVOY_LINUX_DEBUG_PATH" "${SIDECAR}" else echo "Skipping envoy debug. Set DEBUG_IMAGE to download." fi # Download and extract the Envoy linux release binary.
Shell Script - Registered: Wed May 08 22:53:08 GMT 2024 - Last Modified: Thu Jan 25 19:11:31 GMT 2024 - 6.1K bytes - Viewed (0) -
docs/features/interceptors.md
![Interceptors Diagram](../assets/images/******@****.***) ### Application Interceptors Interceptors are registered as either _application_ or _network_ interceptors. We'll use the `LoggingInterceptor` defined above to show the difference.
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src/main/webapp/WEB-INF/orig/view/index.jsp
</la:link> </div> </div> </div> <main class="container"> <div class="row"> <div class="col text-center searchFormBox"> <h1 class="mainLogo"> <img src="${fe:url('/images/logo.png')}" alt="<la:message key="labels.index_title" />" /> </h1> <div class="notification">${notification}</div> <div> <la:info id="msg" message="true">
Others - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Fri Feb 17 12:13:41 GMT 2023 - 6.9K bytes - Viewed (0) -
SECURITY.md
running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate formats that can be processed by TensorFlow.
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src/main/webapp/WEB-INF/view/index.jsp
</la:link> </div> </div> </div> <main class="container"> <div class="row"> <div class="col text-center searchFormBox"> <h1 class="mainLogo"> <img src="${fe:url('/images/logo.png')}" alt="<la:message key="labels.index_title" />" /> </h1> <div class="notification">${notification}</div> <div> <la:info id="msg" message="true">
Others - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Fri Feb 17 12:13:41 GMT 2023 - 6.9K bytes - Viewed (1) -
src/main/webapp/WEB-INF/orig/view/searchResults.jsp
<div class="mr-3"> <a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}" data-order="${s.index}" > <img src="${fe:url('/images/blank.png')}" alt="thumbnail" data-src="${fe:url('/thumbnail/')}?docId=${f:u(doc.doc_id)}&queryId=${f:u(queryId)}" class="thumbnail" > </a> </div> </c:if>
Others - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Thu Jun 09 04:29:42 GMT 2022 - 9K bytes - Viewed (1) -
src/main/webapp/WEB-INF/view/searchResults.jsp
<div class="mr-3"> <a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}" data-order="${s.index}" > <img src="${fe:url('/images/blank.png')}" alt="thumbnail" data-src="${fe:url('/thumbnail/')}?docId=${f:u(doc.doc_id)}&queryId=${f:u(queryId)}" class="thumbnail" > </a> </div> </c:if>
Others - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Thu Jun 09 04:29:42 GMT 2022 - 9K bytes - Viewed (0) -
scripts/playwright/separate_openapi_schemas/image04.py
page.get_by_role("button", name="Item-Output").click() page.set_viewport_size({"width": 960, "height": 820}) page.screenshot( path="docs/en/docs/img/tutorial/separate-openapi-schemas/image04.png" ) # --------------------- context.close() browser.close() process = subprocess.Popen( ["uvicorn", "docs_src.separate_openapi_schemas.tutorial001:app"] ) try:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Aug 25 19:10:22 GMT 2023 - 881 bytes - Viewed (0) -
docs/zh/docs/advanced/generate-clients.md
<img src="/img/tutorial/generate-clients/image02.png"> 您还将自动补全要发送的数据: <img src="/img/tutorial/generate-clients/image03.png"> !!! tip 请注意, `name` 和 `price` 的自动补全,是通过其在`Item`模型(FastAPI)中的定义实现的。 如果发送的数据字段不符,你也会看到编辑器的错误提示: <img src="/img/tutorial/generate-clients/image04.png"> 响应(response)对象也拥有自动补全: <img src="/img/tutorial/generate-clients/image05.png"> ## 带有标签的 FastAPI 应用
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