"linux" : 459,
    "windows" : 914,
    "macOs" : 292
  }, {
    "testProject" : "largeMonolithicGroovyProject",
    "linux" : 1906
  }, {
    "testProject" : "largeMonolithicJavaProject",
    "linux" : 1150
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIncrementalExecutionPerformanceTest.assemble for non-abi change with configuration caching",
  "durations" : [ {

		{
			"/export{1...10}/disk{1...10}",
			endpointSet{
				[]ellipses.ArgPattern{
					[]ellipses.Pattern{
						{
							Prefix: "",
							Suffix: "",
							Seq:    getSequences(1, 10, 0),
						},
						{
							Prefix: "/export",
							Suffix: "/disk",
							Seq:    getSequences(1, 10, 0),
						},
					},
				},
				nil,

numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

policy_count=$(./mc admin policy list myminio/ | wc -l)

kill $pid

(minio server http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_1.log) &
pid_1=$!

(minio server --address ":9001" http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_2.log) &
pid_2=$!

./mc ready myminio

policy_count=$(./mc admin policy list myminio/ | wc -l)

kill $pid

(minio server http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_1.log) &
pid_1=$!

(minio server --address ":9001" http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_2.log) &
pid_2=$!

./mc ready myminio

policy_count=$(./mc admin policy list myminio/ | wc -l)

kill $pid

(minio server http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_1.log) &
pid_1=$!

(minio server --address ":9001" http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_2.log) &
pid_2=$!

sleep 30
./mc ready myminio

numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.10.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

./mc ls -r --versions mytier/tiered/ >tiered_ns_versions.txt

kill $pid

(minio server http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_1.log) &
pid_1=$!

(minio server --address ":9001" http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_2.log) &
pid_2=$!

./mc ready myminio

policy_count=$(./mc admin policy list myminio/ | wc -l)

kill $pid

(minio server http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_1.log) &
pid_1=$!

(minio server --address ":9001" http://localhost:9000/tmp/xl/{1...10}/disk{0...1} http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/expanded_2.log) &
pid_2=$!

./mc ready myminio

Isso permitiria que você **reutilizasse o modelo** em **diversos lugares**, e também declarasse validações e metadados de todos os parâmetros de uma única vez. 😎

/// note | Nota

Isso é suportado desde o FastAPI versão `0.115.0`. 🤓

///

## Parâmetros de Consulta com um Modelo Pydantic

Declare os **parâmetros de consulta** que você precisa em um **modelo Pydantic**, e então declare o parâmetro como `Query`:

//// tab | Python 3.10+