- fastapi-people.md
- Resources:
  - resources/index.md
  - project-generation.md
  - external-links.md
  - newsletter.md
- About:
  - about/index.md
  - alternatives.md
  - history-design-future.md
  - benchmarks.md
- Help:
  - help/index.md
  - help-fastapi.md
  - contributing.md
- release-notes.md
markdown_extensions:
  toc:
    permalink: true
  markdown.extensions.codehilite:

name: 'Auto Assign PR to Author'
on:
  pull_request:
    types: [opened]

permissions:
  contents: read

jobs:
  add-reviews:
    permissions:
      contents: read  # for kentaro-m/auto-assign-action to fetch config file
      pull-requests: write  # for kentaro-m/auto-assign-action to assign PR reviewers
    runs-on: ubuntu-latest
    steps:

dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports...

Bo Zhang <******@****.***> 1646711332 +0800

  tensorflow::Tensor tensor(allocator.get(), DT_FLOAT, {1});
  TF_ASSERT_OK_AND_ASSIGN(
      auto pjrt_client,
      xla::GetTfrtCpuClient(/*asynchronous=*/true, /*cpu_device_count=*/1));
  std::vector<int32_t> data(1, 0);
  xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1});
  TF_ASSERT_OK_AND_ASSIGN(
      auto buffer,
      pjrt_client->BufferFromHostBuffer(

    throw "Error adding labels to PR";
  }
  if (assignees.length > 0) {
    const resp_assign = await github.rest.issues.addAssignees({
      issue_number: context.issue.number,
      owner: context.repo.owner,
      repo: context.repo.repo,
      assignees: assignees
    });
    if (resp_assign.status >= 400) {
      console.log(resp_assign);
      throw "Error adding assignee to PR";
    }
  }

      ],
      "Resource": [
       "arn:aws:s3:::bucket"
      ]
     }
    ]
   }
EOF
mc admin policy create source repladmin-policy ./repladmin-policy-source.json
cat ./repladmin-policy-source.json

#assign this replication policy to repladmin
mc admin policy attach source repladmin-policy --user=repladmin

### on dest alias
# Create a replication user : repluser on dest alias
mc admin user add dest repluser repluser123

MinIO is a high performance distributed object storage server, designed for large-scale private cloud infrastructure. MinIO is designed in a cloud-native manner to scale sustainably in multi-tenant environments. Orchestration platforms like Kubernetes provide perfect cloud-native environment to deploy and scale MinIO.

${packaging.scripts.header}

#
# This script is executed in the pre-installation phase
#
#   On Debian,
#       $1=install : indicates an new install
#       $1=upgrade : indicates an upgrade
#
#   On RedHat,
#       $1=1       : indicates an new install
#       $1=2       : indicates an upgrade



# Sets the default values for fess variables used in this script
FESS_USER="${packaging.fess.user}"
FESS_GROUP="${packaging.fess.group}"

${packaging.scripts.header}

#
# This script is executed in the pre-remove phase
#
#   On Debian,
#       $1=remove    : indicates a removal
#       $1=upgrade   : indicates an upgrade
#
#   On RedHat,
#       $1=0         : indicates a removal
#       $1=1         : indicates an upgrade



STOP_REQUIRED=false

case "$1" in

    # Debian ####################################################
    remove)