case "$(uname)" in
CYGWIN*) cygwin=true ;;
MINGW*) mingw=true ;;
Darwin*)
  darwin=true
  # Use /usr/libexec/java_home if available, otherwise fall back to /Library/Java/Home
  # See https://developer.apple.com/library/mac/qa/qa1170/_index.html
  if [ -z "$JAVA_HOME" ]; then
    if [ -x "/usr/libexec/java_home" ]; then
      JAVA_HOME="$(/usr/libexec/java_home)"
      export JAVA_HOME
    else
      JAVA_HOME="/Library/Java/Home"

#!/bin/sh
set -e # Have script exit in the event of a failed command.

{{- if .Values.configPathmc }}
MC_CONFIG_DIR="{{ .Values.configPathmc }}"
MC="/usr/bin/mc --insecure --config-dir ${MC_CONFIG_DIR}"
{{- else }}
MC="/usr/bin/mc --insecure"
{{- end }}

# connectToMinio
# Use a check-sleep-check loop to wait for MinIO service to be available
connectToMinio() {
	SCHEME=$1
	ATTEMPTS=0
	LIMIT=29 # Allow 30 attempts

#!/usr/bin/env bash

set -e
set -x

bash scripts/test.sh ${@}
coverage combine
coverage report

./mc alias set site2 http://site2-nginx:9002 minioadmin minioadmin --api s3v4

./mc ready site1/
./mc ready site2/

./mc admin replicate add site1 site2
./mc mb site1/testbucket/
./mc cp -r --quiet /usr/bin site1/testbucket/

sleep 5

./s3-check-md5 -h

failed_count_site1=$(./s3-check-md5 -versions -access-key minioadmin -secret-key minioadmin -endpoint http://site1-nginx:9001 -bucket testbucket 2>&1 | grep FAILED | wc -l)

${packaging.env.file}
/etc/init.d/fess

#!/usr/bin/env bash
set -x

ruff check fastapi tests docs_src scripts --fix

#!/usr/bin/env bash

set -e
set -x

export PYTHONPATH=./docs_src

#!/usr/bin/env bash

set -e
set -x

mypy fastapi
ruff check fastapi tests docs_src scripts

#!/usr/bin/env bash

set -e

export GORACE="history_size=7"
export MINIO_API_REQUESTS_MAX=10000

for d in $(go list ./...); do
	CGO_ENABLED=1 go test -v -race --timeout 100m "$d"

#!/usr/bin/env/env python3
import boto3

s3 = boto3.client('s3',
                  endpoint_url='http://localhost:9000',
                  aws_access_key_id='minio',
                  aws_secret_access_key='minio123',
                  region_name='us-east-1')

r = s3.select_object_content(
    Bucket='mycsvbucket',
    Key='sampledata/TotalPopulation.csv.gz',
    ExpressionType='SQL',