}
            }
           ]
          }
         }
        ]
       }
      ]
     },
     "last_updated": "2023-06-20T09:07:41.865Z"
    },
    {
     "listener": {
      "@type": "type.googleapis.com/envoy.config.listener.v3.Listener",
      "address": {
       "socket_address": {
        "address": "0.0.0.0",
        "port_value": 15021

    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)

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) {
	data := []byte("abcdefghijklmnopqrstuvwxyz0123456789")

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

# Requirements for NumPy 1.x
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

"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"

    sha256: "b9b46f396ab5f3658fa5569af963896167c7f735cfec816359c04101fae38bdf"
  - 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-11.0.25+9"

   *
   * <p><i>Notes:</i> This is an implementation of the algorithm for Lexicographical Permutations
   * Generation, described in Knuth's "The Art of Computer Programming", Volume 4, Chapter 7,
   * Section 7.2.1.2. The iteration order follows the lexicographical order. This means that the
   * first permutation will be in ascending order, and the last will be in descending order.
   *

  - [Changelog since v1.24.12](#changelog-since-v12412)
  - [Changes by Kind](#changes-by-kind-4)
    - [Feature](#feature-4)
    - [Bug or Regression](#bug-or-regression-4)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake-1)
  - [Dependencies](#dependencies-4)
    - [Added](#added-4)
    - [Changed](#changed-4)
    - [Removed](#removed-4)
- [v1.24.12](#v12412)
  - [Downloads for v1.24.12](#downloads-for-v12412)

func (h *headerV7) mode() []byte     { return h[100:][:8] }
func (h *headerV7) uid() []byte      { return h[108:][:8] }
func (h *headerV7) gid() []byte      { return h[116:][:8] }
func (h *headerV7) size() []byte     { return h[124:][:12] }
func (h *headerV7) modTime() []byte  { return h[136:][:12] }
func (h *headerV7) chksum() []byte   { return h[148:][:8] }
func (h *headerV7) typeFlag() []byte { return h[156:][:1] }