apiVersion: v1
description: High Performance Object Storage
name: minio
version: 5.4.0
appVersion: RELEASE.2024-12-18T13-15-44Z
keywords:
  - minio
  - storage
  - object-storage
  - s3
  - cluster
home: https://min.io
icon: https://min.io/resources/img/logo/MINIO_wordmark.png
sources:
- https://github.com/minio/minio
maintainers:
- name: MinIO, Inc

    given-names: Yuan
  - family-names: Zheng
    given-names: Xiaoqiang
identifiers:
  - type: doi
    value: 10.5281/zenodo.4724125
    description: The concept DOI for the collection containing all versions of the Citation File Format.
date-released: "2015-11-09"
license: "Apache-2.0"
doi: 10.5281/zenodo.4724125

[![PyPI](https://badge.fury.io/py/tensorflow.svg)](https://badge.fury.io/py/tensorflow)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4724125.svg)](https://doi.org/10.5281/zenodo.4724125)
[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/1486/badge)](https://bestpractices.coreinfrastructure.org/projects/1486)

        // Parameters: status (2 bytes), converter (2 bytes), numEntries (2 bytes), totalAvailableEntries (2 bytes)
        byte[] buffer = { 0x00, 0x00, // status = 0 (Success)
                0x12, 0x34, // converter = 0x3412
                0x02, 0x00, // numEntries = 2
                0x05, 0x00 // totalAvailableEntries = 5
        };

        int bytesRead = response.readParametersWireFormat(buffer, 0, buffer.length);

package jstream

import (
	"bufio"
	"bytes"
	"fmt"
	"io"
	"sync/atomic"
	"testing"
)

var (
	smallInput  = make([]byte, 1024*12)       // 12K
	mediumInput = make([]byte, 1024*1024*12)  // 12MB
	largeInput  = make([]byte, 1024*1024*128) // 128MB
)

func TestScanner(t *testing.T) {
	t.Skip("Unstable test")
	data := []byte("abcdefghijklmnopqrstuvwxyz0123456789")

	var i int
	r := bytes.NewReader(data)

            bufferIndex += 6; // 2 + 4 for reserved fields
        }

        return bufferIndex - start;
    }

    @Override
    public int size() {
        return 20; // Fixed size: 2 + 2 + 4 + 12 (transform structure)
    }

    /**
     * Check if RDMA is supported based on this context
     *
     * @return true if RDMA Transform V1 is supported
     */
    public boolean isRdmaSupported() {

"12.3.4 UNIMPLEMENTED"
"12.3.5 UNIMPLEMENTED"
"12.3.6 UNIMPLEMENTED"
"12.3.7 UNIMPLEMENTED"
"12.3.8 UNIMPLEMENTED"
"12.3.9 UNIMPLEMENTED"
"12.4.1 UNIMPLEMENTED"
"12.4.10 UNIMPLEMENTED"
"12.4.11 UNIMPLEMENTED"
"12.4.12 UNIMPLEMENTED"
"12.4.13 UNIMPLEMENTED"
"12.4.14 UNIMPLEMENTED"
"12.4.15 UNIMPLEMENTED"
"12.4.16 UNIMPLEMENTED"
"12.4.17 UNIMPLEMENTED"
"12.4.18 UNIMPLEMENTED"
"12.4.2 UNIMPLEMENTED"
"12.4.3 UNIMPLEMENTED"

            assertEquals(1, SMBUtil.readInt4(smallBuffer, 16));
        }

        @ParameterizedTest
        @DisplayName("Should encode consistently with various flag values")
        @ValueSource(ints = { 0, 1, 2, 4, 16, 0xFF, 0xFFFF, 0xFFFFFF, 0x7FFFFFFF, -1 })
        void testEncodingWithVariousFlags(int flags) {
            lock = new Smb2Lock(1024L, 2048L, flags);
            int encoded = lock.encode(buffer, 0);

# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0, < 3.15.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

    sha256: "7484d5d4cdb02fc17a842ab86ddac2524a0365066659c46b2e258c64152379cd"
  - params:
      - "macos.java8.zulu.aarch64"
    os: "macos"
    arch: "aarch64"
    vendor: "zulu"
    version: "zulu8.78.0.19-ca-jdk8.0.412"
  - params:
      - "macos.java11.openjdk.aarch64"
    os: "macos"
    arch: "aarch64"
    vendor: "temurin"
    version: "jdk-11.0.30+7"