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docs/debugging/README.md
### Installing xl-meta To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary: ```bash go install github.com/minio/minio/docs/debugging/xl-meta@latest ``` ### Using xl-meta
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 8.6K bytes - Viewed (0) -
docs/pt/docs/tutorial/request-form-models.md
/// info | Informação Para utilizar formulários, instale primeiramente o <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>. Certifique-se de criar um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ativá-lo, e então instalar. Por exemplo: ```console $ pip install python-multipart ``` /// /// note | Nota
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 2.3K bytes - Viewed (0) -
docs/en/docs/virtual-environments.md
## Where are Packages Installed { #where-are-packages-installed }
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 22.4K bytes - Viewed (0) -
ci/official/utilities/setup_macos.sh
# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install # the Python version set in "TFCI_PYTHON_VERSION" and use it as default. # We enable this in the nightly and release builds because before uploading the # wheels, we install them in a virtual environment and run some smoke tests on # it. TFCI Mac VMs only have one Python version installed so we need to install # the other versions manually.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Mon Jun 23 23:03:02 UTC 2025 - 6.8K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.10.md
* Remove deprecated and unmaintained libvirt-coreos kube-up.sh. ([#58023](https://github.com/kubernetes/kubernetes/pull/58023), [@mikedanese](https://github.com/mikedanese)) * Remove deprecated and unmaintained windows installer. ([#58020](https://github.com/kubernetes/kubernetes/pull/58020), [@mikedanese](https://github.com/mikedanese))
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Thu May 05 13:44:43 UTC 2022 - 341.8K bytes - Viewed (0) -
docs/de/docs/deployment/docker.md
pydantic>=1.8.0,<2.0.0 uvicorn>=0.15.0,<0.16.0 ``` Und normalerweise würden Sie diese Paketabhängigkeiten mit `pip` installieren, zum Beispiel: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic uvicorn ``` </div> /// info Es gibt andere Formate und Tools zum Definieren und Installieren von Paketabhängigkeiten.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Nov 09 16:39:20 UTC 2024 - 38.9K bytes - Viewed (0) -
.gitignore
.vagrant network_closure.sh # Local cluster env variables /cluster/env.sh # Compiled binaries in third_party /third_party/pkg # Also ignore etcd installed by hack/install-etcd.sh /third_party/etcd* /default.etcd # Also ignore protoc installed by hack/install-protoc.sh /third_party/protoc* # User cluster configs .kubeconfig .tags* # Version file for dockerized build .dockerized-kube-version-defs
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docs/de/docs/deployment/manually.md
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Nov 09 16:39:20 UTC 2024 - 5.3K bytes - Viewed (0) -
.github/bot_config.yml
* Try Google Colab to use TensorFlow. * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install``` to install any other preferred TF version. * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Mon Jun 30 16:38:59 UTC 2025 - 4K bytes - Viewed (0) -
ci/official/utilities/rename_and_verify_wheels.sh
# and numpy 1 support is dropped b/361369076. if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then "$python" -m pip install numpy==1.26.4 else "$python" -m pip install numpy==1.26.0 fi fi "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
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