importstreamingjson defmain():# CaseA,complete the incompleteJSONobject json_segment_a='{"a":'# will complete to`{"a":null}`lexer=streamingjson.Lexer()lexer.append_string(json_segment_a)completed_json=lexer.complete_json()print(f"completedJSON: {completed_json}")# CaseB,complete the incom...
streaming-json-py 来了~ python 纯python版本。不依赖任何第三方库。这次移植到python 是直接把 golang 代码喂给 GPT4,然后人工修正后得到的。(GPT4超过200行代码就偷懒,所以大部分时间都花在了将分割转换后的代码拼起来...)。已上传到了PyPI,可以直接 pip install streamingjson 体验~。本库仍然聚焦补全LLM流...
streaming-json-py 来啦~ 纯python版本。不依赖任何第三方库。这次移植到python 是直接把 golang 代码喂给 GPT4,然后人工修正后得到的。(GPT4超过200行代码就偷懒,所以大部分时间都花在了将分割转换后的代码拼起来...)。已上传到了PyPI,可以直接 pip install streamingjson 体验~。本库仍然聚焦补全LLM流式生成的...
那么来吧,首先需要mapper来提取/a中满足"status"有"111"状态的id和第二列"a"、/b中所有行的前两列,python代码如下,mapper.py: 1#!/usr/bin/env python2#coding = utf-834importjson5importsys6importtraceback7importdatetime,time89defmapper():10forlineinsys.stdin:11line =line.strip()12id,tag,conten...
setup.py README MIT license NAYA (Not Another Yet Another) A fast streaming JSON parser for Python NAYA is designed to parse JSON quickly and efficiently in pure Python 3 with no dependencies. NAYA is different from other JSON parsers in that it can be used to stream a JSON array, even...
kafka_data_generator.py """ 造数器:向kafka发送json格式数据 数据格式如下所示: { "namespace":"000001", "region":"Beijing", "id":"9d58f83e-fb3b-45d8-b7e4-13d33b0dd832", "valueType":"Float", "value":"48.5", "time":"2018-11-05 15:04:47" ...
A Data Streaming Library for Efficient Neural Network Training - streaming/streaming/base/dataset.py at main · mosaicml/streaming
import json import websocket import _thread from amazon_transcribe.eventstream import EventStreamMessageSerializer from amazon_transcribe.eventstream import EventStreamBuffer from boto3.session import Session 1. 2. 3. 4. 5. 6. 7. 8. 9.
defloop_receiving(ws):try:whileTrue:result=ws.recv()ifresult=='':continueeventStreamBuffer=EventStreamBuffer()eventStreamBuffer.add_data(result)eventStreamMessage=eventStreamBuffer.next()stream_payload=eventStreamMessage.payload transcript=json.loads(bytes.decode(stream_payload,"UTF-8"))print("re...
PyCharm Community EditionfrompysparkimportSparkContextfrompyspark.streamingimportStreamingContextfrompyspark.streaming.kafkaimportKafkaUtilsimportdatetimeimportjsonimporttimefromcollectionsimportdefaultdictimportsubprocessclassKafkaMessageParse:defextractFromKafka(self, kafkainfo):iftype(kafkainfo)istupleandlen(kafkainfo) ...