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ci/official/envs/versions_upload
# Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/"
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ci/official/envs/nightly_upload
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. # 1. Upload nightlies TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/nightly/"
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docs/en/docs/tutorial/request-files.md
# Request Files You can define files to be uploaded by the client using `File`. !!! info To receive uploaded files, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>. E.g. `pip install python-multipart`. This is because uploaded files are sent as "form data". ## Import `File` Import `File` and `UploadFile` from `fastapi`: === "Python 3.9+"
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.teamcity/src/main/kotlin/promotion/PublishNightlySnapshotFromQuickFeedbackStepUpload.kt
vcsRootId = gradlePromotionBranches ) { init { id("Promotion_SnapshotFromQuickFeedbackStepUpload") name = "Nightly Snapshot (from QuickFeedback) - Upload" description = "Builds and uploads the latest successful changes on '${branch.branchName}' from Quick Feedback as a new distribution" steps { buildStep(
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ci/official/README.md
# See full examples below for more details on these. Some other modifiers are: # Ex. versions_upload -- for TF official release versions # Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. #
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ci/official/envs/no_upload
# Disable ALL uploads of any kind. TFCI_ARTIFACT_FINAL_GCS_ENABLE= TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI=
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docs/select/README.md
## Enabling Parquet Format Parquet is DISABLED by default since hostile crafted input can easily crash the server. If you are in a controlled environment where it is safe to assume no hostile content can be uploaded to your cluster you can safely enable Parquet. To enable Parquet set the environment variable `MINIO_API_SELECT_PARQUET=on`. ## Example using Python API ### 1. Prerequisites
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.github/workflows/mint/nginx-1-node.conf
listen 9000; listen [::]:9000; server_name localhost; # To allow special characters in headers ignore_invalid_headers off; # Allow any size file to be uploaded. # Set to a value such as 1000m; to restrict file size to a specific value client_max_body_size 0; # To disable buffering proxy_buffering off; proxy_request_buffering off;
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.github/workflows/mint/nginx-8-node.conf
listen 9000; listen [::]:9000; server_name localhost; # To allow special characters in headers ignore_invalid_headers off; # Allow any size file to be uploaded. # Set to a value such as 1000m; to restrict file size to a specific value client_max_body_size 0; # To disable buffering proxy_buffering off; proxy_request_buffering off;
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docs/orchestration/docker-compose/nginx.conf
listen 9000; listen [::]:9000; server_name localhost; # To allow special characters in headers ignore_invalid_headers off; # Allow any size file to be uploaded. # Set to a value such as 1000m; to restrict file size to a specific value client_max_body_size 0; # To disable buffering proxy_buffering off; proxy_request_buffering off;
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