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ci/official/wheel_test/README.md
and a requirements_lock file. The requirements_lock file is generated by the [requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see
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architecture/standards/README.md
## Architecture Standards **Experimental!** We'd like to capture our architectural decisions about the build tool as [Architectural Decision Records (ADRs)](https://adr.github.io/). For now we just have this global repository of ADRs. If we see fit, we can break these out to per-platform ones, or keep a hybrid approach to having global and platform-specific ADSs. Our aim is to keep the process lightweight and approachable.
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README.md
[![Jenkins tests](https://img.shields.io/jenkins/t/https/ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master.svg?)][test-results] Apache Maven is a software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information.
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docs/bucket/notifications/README.md
To configure this bucket notification, we need the ARN printed by MinIO in the previous step. Additional information about ARN is available [here](http://docs.aws.amazon.com/general/latest/gr/aws-arns-and-namespaces.html). With the `mc` tool, the configuration is very simple to add. Let us say that the MinIO server is aliased as `myminio` in our mc configuration. Execute the following: ``` mc mb myminio/images
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README.md
You can also connect using any S3-compatible tool, such as the MinIO Client `mc` commandline tool. See [Test using MinIO Client `mc`](#test-using-minio-client-mc) for more information on using the `mc` commandline tool. For application developers, see <https://min.io/docs/minio/linux/developers/minio-drivers.html> to view MinIO SDKs for supported languages.
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architecture-standards/README.md
## Architecture Standards **Experimental!** We'd like to capture our architectural decisions about the build tool as [Architectural Decision Records (ADRs)](https://adr.github.io/). For now we just have this global repository of ADRs. If we see fit, we can break these out to per-platform ones, or keep a hybrid approach to having global and platform-specific ADSs. Our aim is to keep the process lightweight and approachable.
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manifests/charts/README.md
version or implementation. For example, you may use your own Prometheus and Grafana installs, or you may use a specialized/custom certificate provisioning tool, or use components that are centrally managed and running in a different cluster. This is a work in progress - building on top of the multi-cluster installer.
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README.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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ci/official/README.md
- Uses `pycpp.sh`, `code_check_changed_files.sh` These "env" files match up with an environment matrix that roughly covers: - Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by:
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docs/distributed/README.md
> **NOTE:** **Each pool you add must have the same erasure coding parity configuration as the original pool, so the same data redundancy SLA is maintained.**
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