Hyperledger Fabric 2.5 中文文档
部分)文档的主要章节。这些内容对 概览 & 教程 中提到的概念进行了扩展,同时还覆盖了一些高级主题。 环境字典 env 运行环境即设置 环境即状态共享 其他考虑 环境变量完整列表 Execution model Execution strategy Defining tasks Defining host lists Intelligently executing tasks with execute 工具所做的只是导入 fabfile 并执行了相应一个或多个的函数,这里并没 有任何魔法——任何你能在一个普通 Python 模块中做的事情同样可以在一个 fabfile 中完成。 参见 Execution strategy, 定义任务, fab 选项和参数 任务参数 和你平时的 Python 编程一样,给任务函数传递参数很有必要``。Fabric 支持 Shell 兼容的参数用法: <任务名>:<参数> env.user 来设置。 Execution model 文档中还介绍了如何为每个 主机单独设置用户名。 password :用来显式设置默认连接或者在需要的时候提供 sudo 密码。如 果没有设置密码或密码错误,Fabric 将会提示你输入。 warn_only:布尔值,用来设置 Fabric 是否在检测到远程错误时退出。访 问 Execution model 以了解更多关于此行为的信息。0 码力 | 138 页 | 154.00 KB | 1 年前3Hyperledger Fabric 1.4 中文文档
部分)文档的主要章节。这些内容对 概览 & 教程 中提到的概念进行了扩展,同时还覆盖了一些高级主题。 环境字典 env 运行环境即设置 环境即状态共享 其他考虑 环境变量完整列表 Execution model Execution strategy Defining tasks Defining host lists Intelligently executing tasks with execute 工具所做的只是导入 fabfile 并执行了相应一个或多个的函数,这里并没 有任何魔法——任何你能在一个普通 Python 模块中做的事情同样可以在一个 fabfile 中完成。 参见 Execution strategy, 定义任务, fab 选项和参数 任务参数 和你平时的 Python 编程一样,给任务函数传递参数很有必要``。Fabric 支持 Shell 兼容的参数用法: <任务名>:<参数> env.user 来设置。 Execution model 文档中还介绍了如何为每个 主机单独设置用户名。 password :用来显式设置默认连接或者在需要的时候提供 sudo 密码。如 果没有设置密码或密码错误,Fabric 将会提示你输入。 warn_only:布尔值,用来设置 Fabric 是否在检测到远程错误时退出。访 问 Execution model 以了解更多关于此行为的信息。0 码力 | 145 页 | 161.53 KB | 1 年前3FISCO BCOS 2.1.0 中文文档
据,执行引擎同时支持EVM合约与预编译合约,其中EVM合约可以通过交易 创建合约、合约创建合约两种方式来创建,其执行流程如下: ../../../_images/EVM_contract_execution.png EVM合约创建后,保存到执行上下文的_sys_contracts_表中,EVM合约的地 址在区块链全局状态内自增,从0x1000001开始(可定制),EVM合约执行 过程中,Sto 00截止,临时 预编译合约仅在执行上下文内有效预编译合约没有Storage变量,只能操作 表,其执行流程如下: ../../../_images/precompiled_contract_execution.png 同步 同步,是区块链节点非常重要的功能。它是共识的辅助,给共识提供必需的 运行条件。同步分为交易的同步和状态的同步。交易的同步,确保了每笔交 易能正确的到达每个节点上。状态的同步,能确保区块落后的节点能正确的 赖边;若该交易不可并行,则认为其必须在前序的所有交易都执行完后 才能执行,因此在该交易与其所有前序交易间建立一条依赖边。 3.2 DAG执行流程 流程如下: ../../../_images/execution.png 1. 主线程会首先根据硬件核数初始化一个相应大小的线程组,若获取硬件 核数失败,则不创建其他线程; 2. 当DAG尚未执行完毕时,线程循环等待从DAG中pop出入度为0的交易。0 码力 | 1058 页 | 740.85 KB | 1 年前3FISCO BCOS 2.3.0 中文文档
11(0xb) BadJumpDestination wrong jump destination exception 12(0xc) OutOfGas out-of-gas during EVM execution / contract to deploy exceeds max contract length 13(0xd) OutOfStack out-of-stack exception 14(0xe) specific external IP If the command is executed successfully, All completed will be output. If the execution fails, please check the error message in the nodes/build.log file. bash build_chain.sh -l "127 in business model to achieve the cooperation of reciprocity and mutual trust so that to promote the progress from “information Internet” to “trusted Internet”, and also to make business model moving toward0 码力 | 1227 页 | 10.79 MB | 1 年前3FISCO BCOS 2.2.0 中文文档
11(0xb) BadJumpDestination wrong jump destination exception 12(0xc) OutOfGas out-of-gas during EVM execution / contract to deploy exceeds max contract length 13(0xd) OutOfStack out-of-stack exception 14(0xe) add -i parameter. If the command is executed successfully, All completed will be output. If the execution fails, please check the error message in the nodes/build.log file. Start FISCO BCOS chain Execute in business model to achieve the cooperation of reciprocity and mutual trust so that to promote the progress from “information Internet” to “trusted Internet”, and also to make business model moving toward0 码力 | 1156 页 | 10.03 MB | 1 年前3FISCO BCOS 2.4.0 中文文档
11(0xb) BadJumpDestination wrong jump destination exception 12(0xc) OutOfGas out-of-gas during EVM execution / contract to deploy exceeds max contract length 13(0xd) OutOfStack out-of-stack exception 14(0xe) specific external IP If the command is executed successfully, All completed will be output. If the execution fails, please check the error message in the nodes/build.log file. bash build_chain.sh -l "127 which bring better scalability to the group architecture. The former changes the method of serial execution in the order of transactions in the block, and executes transactions in parallel based on DAG (directed0 码力 | 1314 页 | 11.21 MB | 1 年前3FISCO BCOS 2.5.0 中文文档
11(0xb) BadJumpDestination wrong jump destination exception 12(0xc) OutOfGas out-of-gas during EVM execution / contract to deploy exceeds max contract length 13(0xd) OutOfStack out-of-stack exception 14(0xe) specific external IP If the command is executed successfully, All completed will be output. If the execution fails, please check the error message in the nodes/build.log file. bash build_chain.sh -l "127 Communication Institute, and the single-chain TPS can reach 20,000. Key Features Architecture Architectural model one-body, two-wing, multi-engine Group architecture Support dynamic expansion of multiple groups0 码力 | 1456 页 | 13.35 MB | 1 年前3Kotlin 1.9.10 官方文档 中文版
both the full power of the Kotlin language and the opportunities provided by intermittent code execution in Jupyter notebooks and REPLs. Kotlin for Apache Spark adds a missing layer of compatibility between to: How warm the Kotlin daemon and the Gradle daemon are. How fast or slow the disk is. The CPU model and how busy it is. Which modules are affected by the changes and how big these modules are. Whether finished in 0.59 s <...> Time metrics: Total Gradle task time: 0.59 s Task action before worker execution: 0.24 s Backup output: 0.22 s // Pay attention to this number <...> And here is an example0 码力 | 3753 页 | 29.69 MB | 1 年前3Kotlin 官方文档中文版 v1.9
both the full power of the Kotlin language and the opportunities provided by intermittent code execution in Jupyter notebooks and REPLs. Kotlin for Apache Spark adds a missing layer of compatibility between to: How warm the Kotlin daemon and the Gradle daemon are. How fast or slow the disk is. The CPU model and how busy it is. Which modules are affected by the changes and how big these modules are. Whether 1.8.20 120 <...> Time metrics: Total Gradle task time: 0.59 s Task action before worker execution: 0.24 s Backup output: 0.22 s // Pay attention to this number <...> And here is an example0 码力 | 2049 页 | 45.06 MB | 1 年前3Swift for TensorFlow - 莲叔
Feeling” is very important for usability. WTF it is ??? Core Ideas Two TF Modes Graph Eager Execution import tensorflow as tf x = tf.constant([[1,2,3], [4,5,6]]) xt = tf.transpose(x) y = tf.matmul(x xt) with tf.Session() as sess: print sess.run(y) import tensorflow as tf tf.enable_eager_execution() x = tf.constant([[1,2,3],[4,5,6]]) y = tf.matmul(x, tf.transpose(x)) print(y) Each operation • Generate graph in compiling stage, then intelligently coordinate it with program during execution. • Transparent graph logic to engineer. • Capable of putting the `print` to anywhere you like0 码力 | 56 页 | 3.03 MB | 1 年前3
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