活动介绍
file-type

智能合约执行器:实现网页与以太坊智能合约交互

ZIP文件

下载需积分: 10 | 110KB | 更新于2025-08-12 | 63 浏览量 | 1 下载量 举报 收藏
download 立即下载
从给定的文件信息来看,我们可以提炼出以下IT知识点: ### 标题知识点:smart-contract-executor #### 概念解析 - **Smart Contract Executor**: 智能合约执行器,是指能够与区块链网络上部署的智能合约进行交互的程序或工具。 - **以太坊网络**: 一个去中心化的区块链平台,主要用于执行智能合约。 - **交互**: 指与智能合约进行数据交换和函数调用的整个过程。 #### 功能描述 - 使用Smart Contract Executor,用户能够与部署在以太坊网络上的智能合约进行交互操作。 - 通常情况下,这类执行器需要特定的插件或扩展来实现与区块链的通信,这里提到的是通过注入web3库来实现。 #### 技术细节 - **web3**: 一个用于与以太坊节点交互的JavaScript库,它提供了一个完整的API来与区块链进行交互,包括发送交易,部署智能合约等。 - **Mist** 和 **Metamask**: 这两个都是以太坊的客户端,它们可以作为浏览器插件或独立的应用运行,并提供web3的注入功能,以便用户能够访问以太坊网络。 ### 描述知识点: #### 开发和运行过程 - **本地构建/运行**: - `npm install`: 安装smart-contract-executor项目的依赖包。 - `npm install -g webpack`: 安装webpack并全局配置,webpack是一个现代JavaScript应用程序的静态模块打包器。 - `npm start`: 启动smart-contract-executor项目的本地服务器。 - **运行托管版本**: 可能指的是使用服务器或者云服务来部署smart-contract-executor。 #### 贡献指南 - 代码许可:smart-contract-executor遵循MIT许可协议,这是一种宽松的开源许可证。 - 处理权限:该许可授予任何人处理软件的权利,包括但不限于使用、复制、修改、合并、发布、分发、再许可和/或出售本软件的副本。 - 条件限制:使用该软件的人必须保留版权声明和许可声明,并且软件是“原样”提供的,没有任何形式的担保。 ### 标签知识点:JavaScript #### JavaScript定义 - **JavaScript**: 是一种高级的、解释型的编程语言,通常用于网页开发,并在所有现代网页浏览器中实现。 #### JavaScript在区块链中的应用 - **以太坊智能合约**: 使用的开发语言是Solidity,但是与智能合约交互的前端界面通常使用JavaScript。 - **Web3.js**: 是一个JavaScript库,用于与以太坊节点通信,它允许开发者在自己的应用程序中调用智能合约的功能。 ### 压缩包子文件的文件名称列表:smart-contract-executor-master #### 压缩包子文件结构 - **smart-contract-executor-master**: 这表明smart-contract-executor的源代码或文件存储在一个压缩包内,文件名通常包含版本标识,这里的“master”通常表示该版本是主分支或者稳定版本。 #### 文件内容 - **源代码**: smart-contract-executor项目的主要源文件。 - **文档**: 包括README.md、许可证文件、开发文档等。 - **配置文件**: 如webpack配置文件、package.json等,描述了项目的依赖和构建配置。 - **测试脚本**: 可能包含用于验证smart-contract-executor功能的测试用例。 结合以上信息,我们可以看出smart-contract-executor是一个利用JavaScript编写的,与以太坊智能合约交互的工具。它通过web3.js库来实现与区块链网络的连接,允许用户直接在网页上执行智能合约功能。这个工具的运行需要一定的开发环境配置,如安装Node.js和webpack等,运行后可以启动一个本地服务。此外,该项目是完全开源的,遵循MIT许可,允许用户自由地使用和贡献代码。

相关推荐

filetype

2025-04-02 11:24:49,591 ERROR org.apache.spark.scheduler.cluster.YarnScheduler: Lost executor 5 on dominos-usdp-v3-pro02: Container from a bad node: container_e35_1709867558487_220002_02_000002 on host: dominos-usdp-v3-pro02. Exit status: 143. Diagnostics: [2025-04-02 11:24:49.169]Container killed on request. Exit code is 143 [2025-04-02 11:24:49.170]Container exited with a non-zero exit code 143. [2025-04-02 11:24:49.170]Killed by external signal . 2025-04-02 11:24:49,592 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 2.0 (TID 5) (dominos-usdp-v3-pro02 executor 5): ExecutorLostFailure (executor 5 exited caused by one of the running tasks) Reason: Container from a bad node: container_e35_1709867558487_220002_02_000002 on host: dominos-usdp-v3-pro02. Exit status: 143. Diagnostics: [2025-04-02 11:24:49.169]Container killed on request. Exit code is 143 [2025-04-02 11:24:49.170]Container exited with a non-zero exit code 143. [2025-04-02 11:24:49.170]Killed by external signal . 2025-04-02 11:24:49,594 WARN org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Requesting driver to remove executor 5 for reason Container from a bad node: container_e35_1709867558487_220002_02_000002 on host: dominos-usdp-v3-pro02. Exit status: 143. Diagnostics: [2025-04-02 11:24:49.169]Container killed on request. Exit code is 143 [2025-04-02 11:24:49.170]Container exited with a non-zero exit code 143. [2025-04-02 11:24:49.170]Killed by external signal . 2025-04-02 11:26:37,187 ERROR org.apache.spark.scheduler.cluster.YarnScheduler: Lost executor 6 on dominos-usdp-v3-pro03: Container from a bad node: container_e35_1709867558487_220002_02_000003 on host: dominos-usdp-v3-pro03. Exit status: 143. Diagnostics: [2025-04-02 11:26:36.792]Container killed on request. Exit code is 143 [2025-04-02 11:26:36.793]Container exited with a non-zero exit code 143.

filetype

2025-06-28 11:42:45 25/06/28 03:42:45 INFO Worker: Executor app-20250628034119-0000/32 finished with state EXITED message Command exited with code 1 exitStatus 1 2025-06-28 11:42:45 25/06/28 03:42:45 INFO ExternalShuffleBlockResolver: Clean up non-shuffle and non-RDD files associated with the finished executor 32 2025-06-28 11:42:45 25/06/28 03:42:45 INFO ExternalShuffleBlockResolver: Executor is not registered (appId=app-20250628034119-0000, execId=32) 2025-06-28 11:42:45 25/06/28 03:42:45 INFO Worker: Asked to launch executor app-20250628034119-0000/33 for KafkaNumberAdder 2025-06-28 11:42:45 25/06/28 03:42:45 INFO SecurityManager: Changing view acls to: spark 2025-06-28 11:42:45 25/06/28 03:42:45 INFO SecurityManager: Changing modify acls to: spark 2025-06-28 11:42:45 25/06/28 03:42:45 INFO SecurityManager: Changing view acls groups to: 2025-06-28 11:42:45 25/06/28 03:42:45 INFO SecurityManager: Changing modify acls groups to: 2025-06-28 11:42:45 25/06/28 03:42:45 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: spark; groups with view permissions: EMPTY; users with modify permissions: spark; groups with modify permissions: EMPTY 2025-06-28 11:42:45 25/06/28 03:42:45 INFO ExecutorRunner: Launch command: "/opt/bitnami/java/bin/java" "-cp" "/opt/bitnami/spark/conf/:/opt/bitnami/spark/jars/*" "-Xmx1024M" "-Dspark.driver.port=36357" "-Dspark.ui.port=4041" "-Djava.net.preferIPv6Addresses=false" "-XX:+IgnoreUnrecognizedVMOptions" "--add-opens=java.base/java.lang=ALL-UNNAMED" "--add-opens=java.base/java.lang.invoke=ALL-UNNAMED" "--add-opens=java.base/java.lang.reflect=ALL-UNNAMED" "--add-opens=java.base/java.io=ALL-UNNAMED" "--add-opens=java.base/java.net=ALL-UNNAMED" "--add-opens=java.base/java.nio=ALL-UNNAMED" "--add-opens=java.base/java.util=ALL-UNNAMED" "--add-opens=java.base/java.util.concurrent=ALL-UNNAMED" "--add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED" "--add-opens=java.base/sun.nio.ch=ALL-UNNAMED" "--add-opens=java.base/sun.nio.cs=ALL-UNNAMED" "--add-opens=java.base/sun.security.action=ALL-UNNAMED" "--add-opens=java.base/sun.util.calendar=ALL-UNNAMED" "--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED" "-Djdk.reflect.useDirectMethodHandle=false" "--add-opens=java.base/sun.nio.ch=ALL-UNNAMED" "--add-opens=java.base/java.lang=ALL-UNNAMED" "org.apache.spark.executor.CoarseGrainedExecutorBackend" "--driver-url" "spark://CoarseGrainedScheduler@spark-master:36357" "--executor-id" "33" "--hostname" "172.20.0.4" "--cores" "2" "--app-id" "app-20250628034119-0000" "--worker-url" "spark://[email protected]:43009" "--resourceProfileId" "0" worker节点的日志

filetype

2023-06-17 23:47:22.786162: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found 2023-06-17 23:47:22.786281: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2023-06-17 23:47:24.419330: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found 2023-06-17 23:47:24.419809: W tensorflow/stream_executor/cuda/cuda_driver.cc:263] failed call to cuInit: UNKNOWN ERROR (303) 2023-06-17 23:47:24.426229: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: ����� 2023-06-17 23:47:24.426345: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: ����� 2023-06-17 23:47:24.430552: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. Traceback (most recent call last): File "C:\Users\10290\Desktop\test\writer.py", line 20, in <module> write_reward_tb(summary_writer, rewards[i], i) File "C:\Users\10290\Desktop\test\writer.py", line 9, in write_reward_tb summary = tf.Summary(value=[tf.Summary.Value(tag='reward', simple_value=reward)]) AttributeError: module 'tensorflow' has no attribute 'Summary'分析错误原因

filetype

NFO 07-02 11:24:48 [chat_utils.py:420] Detected the chat template content format to be 'string'. You can set `--chat-template-content-format` to override this. INFO 07-02 11:24:48 [logger.py:43] Received request chatcmpl-6f8e5188d2934b0aabcb113c6a510be3: prompt: '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhat is the capital of France?<|im_end|>\n<|im_start|>assistant\n', params: SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.05, temperature=0.7, top_p=0.8, top_k=20, min_p=0.0, seed=None, stop=[], stop_token_ids=[], bad_words=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=32732, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None, guided_decoding=None, extra_args=None), prompt_token_ids: None, prompt_embeds shape: None, lora_request: None, prompt_adapter_request: None. INFO 07-02 11:24:48 [async_llm.py:271] Added request chatcmpl-6f8e5188d2934b0aabcb113c6a510be3. (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] WorkerProc hit an exception. (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] Traceback (most recent call last): (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/vllm/v1/executor/multiproc_executor.py", line 522, in worker_busy_loop (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] output = func(*args, **kwargs) (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] return func(*args, **kwargs) (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/vllm/v1/worker/gpu_worker.py", line 293, in execute_model (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] output = self.model_runner.execute_model(scheduler_output, (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] return func(*args, **kwargs) (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/vllm/v1/worker/gpu_model_runner.py", line 1177, in execute_model (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] self._update_states(scheduler_output) (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/vllm/v1/worker/gpu_model_runner.py", line 465, in _update_states (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] for block_ids, new_block_ids in zip( # type: ignore[call-overload] (VllmWorker rank=0 pid=2573081) ERROR 07-02 11:24:48 [multiproc_executor.py:527] TypeError: zip() takes no keyword arguments (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] WorkerProc hit an exception. (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] Traceback (most recent call last): (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/vllm/v1/executor/multiproc_executor.py", line 522, in worker_busy_loop (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] output = func(*args, **kwargs) (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] return func(*args, **kwargs) (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/vllm/v1/worker/gpu_worker.py", line 293, in execute_model (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] output = self.model_runner.execute_model(scheduler_output, (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File "/home/super/.local/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] return func(*args, **kwargs) (VllmWorker rank=2 pid=2573083) ERROR 07-02 11:24:48 [multiproc_executor.py:527] File

janejane815
  • 粉丝: 42
上传资源 快速赚钱