Saravanan666/pypi-org huggingface dataset:
Package: tracegrep
Copyright (c) 2017 Yixi ZhangPermission is hereby granted, free of charge, to any person obtaining a copyof this software and associated documentation files (the "Software"), to dealin the Software without restriction, including without limitation the rightsto use, copy, modify, merge, publish, distribute, sublicense, and/or sellcopies of the Software, and to permit persons to whom the Software isfurnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in allcopies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS ORIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THEAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHERLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THESOFTWARE.Description: # TraceGrepThis is a simple utils to grep Python tracebacks from plain text.# Install```pip install tracegrep```# Usage```pythonfrom tracegrep import tracegrepsample_text = """>>> 1/0Traceback (most recent call last):File "<stdin>", line 1, in <module>ZeroDivisionError: integer division or modulo by zero>>>"""traces = tracegrep(sample_text)trace, errortype = traces[0]trace == """Traceback (most recent call last):File "<stdin>", line 1, in <module>ZeroDivisionError: integer division or modulo by zero"""errortype == "ZeroDivisionError"```Platform: UNKNOWN
Package: traceid
TraceIdTraceId is a trace ID generator based onPython contextvars. It automatically passes the trace ID in asynchronous tasks, enabling cross-coroutine tracing.InstallationInstall via pippip install traceidInstall via poetrypoetry add traceidUsageGenerate trace IDfromtraceidimportTraceIdTraceId.gen()Set trace IDfromtraceidimportTraceIdTraceId.set('your trace id')Get trace IDfromtraceidimportTraceIdTraceId.get()Clear trace IDfromtraceidimportTraceIdTraceId.clear()Check if trace ID has been set/generatedfromtraceidimportTraceIdTraceId.is_set()Integrate with FastapiimporttypingfromfastapiimportFastAPI,Request,ResponsefromtraceidimportTraceIdfromaiorowimportConnection,DSNapp=FastAPI()@app.middleware("http")asyncdefadd_trace_id(request:Request,call_next:typing.Callable[[Request],typing.Awaitable[Response]])->Response:trace_id=request.headers.get("X-Request-ID",None)iftrace_idisNone:TraceId.gen()else:TraceId.set(trace_id)response=awaitcall_next(request)response.headers["X-Request-ID"]=str(TraceId.get())returnresponse@app.get("/")defread_root():return{"Hello":"World"}Integrate with loggingimportloggingimportlogging.configimportosfromtraceidimportJSONFormatterLOG_SETTINGS={"version":1,"disable_existing_loggers":False,"handlers":{"console":{"class":"logging.StreamHandler","level":logging.INFO,"formatter":"json",},},"formatters":{"json":{"()":JSONFormatter,},},"loggers":{"":{"level":logging.INFO,"handlers":["console"],"propagate":True},},}logging.config.dictConfig(LOG_SETTINGS)
Package: traceint
tracient-book-sduwh山东大学（威海）我去图书馆抢座脚本请认真阅读许可证许可证（请以LICENSE文件为准，此处仅提供阅读）禁止盈利许可证
                    2021/12/1 v1.0

在本许可证保护下，所有包含本项目代码（包括部分代码）的项目，不允许盈利，
可免费自己使用或提供他人使用，但不允许盈利或收取费用。

请在国家法律许可的范围内使用本项目代码，如您使用本代码，则默认您已知晓是
否在法律允许范围之内，项目作者不承担任何因超出法律范围使用本项目代码带来
的法律纠纷。使用方法目前本项目代码可以实现明日预约、实时/定时捡漏、退座目前代码重构以及更改通用性中，随时可能更改使用方法main分支为稳定可用分支docker快速部署服务器版(详见docker分支)dockerrun-d-p8000:8000humorh/traceint_serverpython版本开发时所用版本为3.8.2点击下载安装包：3.8.2官网安装包官网下载链接下载慢可将链接复制到迅雷创建下载任务经测试3.10.1会导致找不到适合的ddddocr依赖包pipinstall-rrequirements.txt明日预约抓包得到图书馆post请求header的cookie调用traceint中的seat_reserve函数，参数详见docstring冲杯咖啡等待即可实时捡漏抓包得到图书馆post请求header的cookie调用traceint中的seat_pickup函数，参数详见docstring冲杯咖啡等待即可退座抓包得到图书馆post请求header的cookie调用traceint中的seat_cancel函数，参数详见docstring冲杯咖啡等待即可签到抓包得到图书馆post请求header的cookie调用traceint中的credit_sign函数，参数详见docstring冲杯咖啡等待即可uml设计用例图时序图预约捡漏退座签到scrum敏捷开发迭代功能完善1退座代码保存每日爬取验证码图片验证码问题比较ddddocr与mugle_ocr准确率重构设计用例图重构代码注释根据代码扫描结果修改代码画时序图功能完善2签到代码嵌入闲时捡漏与明日预约签到代码查看排队状态预约代码加入排队延迟继续预定封装推送pypitkintr封装后端前端docker打包认证通过wechatSESSID获取cookie都看到这里了不给个star嘛？微信OAuth认证尝试请求获取oauth url与实际请求oauth url对比请求得到https://open.weixin.qq.com/connect/oauth2/authorize
?appid=wx2996d437cd442527
&redirect_uri=https://wechat.v2.traceint.com/index.php/url/auth.html
?r=https://wechat.v2.traceint.com/index.php/reserve/index.html
?f=wechat
&n=617f6d050f140
&response_type=code
&scope=snsapi_userinfo
&state=1
&connect_redirect=1
#wechat_redirect实际请求https://open.weixin.qq.com/connect/oauth2/authorize
?appid=wx2996d437cd442527
&redirect_uri=https://wechat.v2.traceint.com/index.php/url/auth.html
?r=https://wechat.v2.traceint.com/index.php/reserve/index.html
?f=wechat
&n=617f6d050f14
&response_type=code
&scope=snsapi_userinfo
&state=1
&connect_redirect=1
&uin=MjAwNTcxNTA3OA%3D%3D
&key=c39cf953308ace2d1d5dfaab91543e6b5ca955eb40d997fa3aaf8652bad19b0f1e77c908c52f7be9c83b12e7452079ce795fcc8f44bd6dcb272646c0575754771afd4b8299ca67b14d64fc9fdbf547fc01016c67d4aae21fa7b0be744806aa4faa84ec3d8f1c77bfa41c6dcd108a6d5a2524b5e1378c8a1c45f772c5c35d3e3c
&version=63040026
&pass_ticket=yxHHNjeZdF9nA6MWULlbzgEPps4czteK399zvDw0%2BOQMh6m95nCR19kubhSzaoCn其中新加uin、key、version、pass_ticket四个参数，uin和version相对固定，key和pass_ticket为随时生成。带有wechatSESS_ID和SERVERID发送请求则返回该cookie
Package: tracelogdetdiag
randomized-trace-logdet-diag-diaginvSome Python implementations of randomized, matrix-free algorithms for estimating $\text{tr}(A)$, $\log \det(A)$, $\text{diag}(A)$, and $\text{diag}(A^{-1})$. Here $A$ is SPD or SPSD. We also provide implementations of non-randomized methods requiring access to matrices for convenience.This package is a work-in-progress. The goal is to implement some of the algorithms detailed in the references below.References[1]M.F. Hutchinson (1989). A Stochastic Estimator of the Trace of the Influence Matrix for Laplacian Smoothing Splines. Communications in Statistics - Simulation and Computation, 18(3), 1059-1076.[2]Avron, H., & Toledo, S. (2011). Randomized Algorithms for Estimating the Trace of an Implicit Symmetric Positive Semi-Definite Matrix. J. ACM, 58(2).[3]Roosta-Khorasani, F., & Ascher, U. (2015). Improved Bounds on Sample Size for Implicit Matrix Trace Estimators. Foundations of Computational Mathematics, 15(5), 1187–1212.[4]Saibaba, A., Alexanderian, A., & Ipsen, I. (2017). Randomized matrix-free trace and log-determinant estimators. Numerische Mathematik, 137(2), 353–395.[5]C. Bekas, E. Kokiopoulou, & Y. Saad (2007). An estimator for the diagonal of a matrix. Applied Numerical Mathematics, 57(11), 1214-1229.[6]Christos Boutsidis, Petros Drineas, Prabhanjan Kambadur, Eugenia-Maria Kontopoulou, & Anastasios Zouzias (2017). A randomized algorithm for approximating the log determinant of a symmetric positive definite matrix. Linear Algebra and its Applications, 533, 95-117.[7]Han, I., Malioutov, D.M., & Shin, J. (2015). Large-scale log-determinant computation through stochastic Chebyshev expansions. International Conference on Machine Learning.[8]Chen, J. (2016). How Accurately Should I Compute Implicit Matrix-Vector Products When Applying the Hutchinson Trace Estimator? SIAM J. Sci. Comput., 38.[9]Meyer, R.A., Musco, C., Musco, C., & Woodruff, D.P. (2020). Hutch++: Optimal Stochastic Trace Estimation. Proceedings of the SIAM Symposium on Simplicity in Algorithms, 2021, 142-155 .[10]Persson, D., Cortinovis, A., & Kressner, D. (2021). Improved variants of the Hutch++ algorithm for trace estimation. SIAM J. Matrix Anal. Appl., 43, 1162-1185.
Package: traceloggingdynamic
traceloggingdynamicThetraceloggingdynamicmodule provides support for generatingTraceLogging-encodedETW (Event Tracing for Windows)events directly from Python (no C/C++ code). The events can be generated and
collected on Windows Vista or later. The events can be decoded on Windows 10
or later.This is a middle-layer API:Directly exposes ETW concepts rather than wrapping them in Python idioms.Makes it possible for the caller to be efficient even when that means the
caller might need to do more work (e.g. take names as bytes so that the
caller has the option of avoiding the string encoding for each event).Could be used directly by a consumer or could be wrapped in a higher-level
module to create a more Python-friendly API.PublicProviderclass: represents an ETW data source with a name and id. Core
methods: provider.is_enabled(event_level, event_keyword),
provider.write(event_builder).EventBuilderclass: Used to put together the data for an event. Core
methods:eb.reset(event_name, event_level, event_keyword, [more...]),eb.add_FIELDTYPE(field_name, field_value, [out_type, tag]). When the event
is ready, send it to ETW withprovider.write(eb).OutTypeenum: Formatting hints that can be added to a field.providerid_from_namefunction: Hashes a provider name string to generate
a provider id UUID. Hash is generated using the same algorithm as other ETW
APIs and tools such as .NET EventSource and WinRT LoggingChannel.Example# At start of program:provider=Provider(b'MyCompany.MyGroup.MyComponent')# When you want to generate an event:my_field_value=Truemy_event_level=5# 5 = Verbosemy_event_keyword=0x21# User-defined bits indicating categories.ifprovider.is_enabled(my_event_level,my_event_keyword):# Anybody listening?eb=EventBuilder()eb.reset(b'MyEventName',my_event_level,my_event_keyword)eb.add_bool32(b'MyFieldName',my_field_value)# as needed to add fields.provider.write(eb)NotesCollect the events using Windows SDK tools like traceview or tracelog.
Decode the events using Windows SDK tools like traceview or tracefmt.
For example, forProvider(b'MyCompany.MyComponent'):tracelog-startMyTrace-fMyTraceFile.etl-guid*MyCompany.MyComponent-level5-matchanykw0xf<runyourPythonprogram>tracelog-stopMyTracetracefmt-oMyTraceData.txtMyTraceFile.etlETW events are limited in size (event size = headers + metadata + data).
Windows will drop any event that is larger than 64KB and will drop any event
that is larger than the buffer size of the recording session. To help prevent
unexpected event loss, this module will raise an exception if the metadata
exceeds 32KB or if the data exceeds 64KB. To help track down event loss, this
module will assert if it detects that ETW dropped an event due to size.Most ETW decoding tools are unable to decode an event with more than 128
fields. This module will raise an exception if you add more than 128 fields to
an event. Note that sequence fields and binary fields each count as 2 fields.
Package: traceloop-sdk
traceloop-sdkTraceloop’s Python SDK allows you to easily start monitoring and debugging your LLM execution. Tracing is done in a non-intrusive way, built on top of OpenTelemetry. You can choose to export the traces to Traceloop, or to your existing observability stack.Traceloop.init(app_name="joke_generation_service")@workflow(name="joke_creation")defcreate_joke():completion=openai.ChatCompletion.create(model="gpt-3.5-turbo",messages=[{"role":"user","content":"Tell me a joke about opentelemetry"}],)returncompletion.choices[0].message.content
Package: tracemate
Tracemate :mag_right:Automated logging setup for Python applicationsTracemate is a Python library designed to make logging hassle-free. Just import it into yourmain.py, and Tracemate takes care of setting up logging for all your functions. It's lightweight, easy to integrate, and designed to have minimal impact on application performance.:rocket: FeaturesAutomated Logging: Just import Tracemate in yourmain.pyand it will automatically set up logging for all your functions.High Performance: Designed for minimal performance overhead.Asynchronous Support: Full support for asynchronous Python applications.Simple Integration: Easy to integrate into existing projects without modifying your codebase.:package: InstallationTo install Tracemate, you can use pip:pipinstalltracemate:hammer_and_wrench: UsageHere's how to get started:Use this in your main.py (or equivalent) file to autonomously add logging and obtain logger and console objects from a centralized location. You can use setup_logging from multiple modules and it works fine.fromtracemateimportsetup_logging,apply_logger_to_all_functionsbackend_logger,ui_logger,console=setup_logging()apply_logger_to_all_functions(backend_logger)For a more comprehensive guide, please refer to theDocumentation.📖 DocumentationDetailed documentation is available on ourWiki.:handshake: ContributingContributions, issues, and feature requests are welcome! SeeCONTRIBUTING.mdfor how to get started.:memo: LicenseThis project is licensed under the MIT License - see theLICENSE.mdfile for details.:telephone_receiver: ContactCreated by@alexfigueroa-solutions- feel free to reach out!
Package: tracematrix
tracematrixA Python tool to create a traceability matrix.ScopeThis package focuses on generating the traceability matrix itself.
As the APIs and export formats of different test management and/or requirement management tools can be very different, the data acquisition and conversion is not in the scope of this package. However, it aims to provide a convenient way to create the individual items (e.g. requirements, testcases or any other traceable item) and traces between them.How to use this packageCurrently it is only possible to use this package programmatically in your own script.You start by creating an instance ofTraceabilityMatrix.
The output format is controlled by thereporterparameter.
By defaultCsvReporteris used, but you can also generate HTML output by passingHtmlReporter.fromtracematrix.matriximportTraceabilityMatrixfromtracematrix.reportersimportHtmlReportermatrix=TraceabilityMatrix(reporter=HtmlReporter)In the next step you add rows and columns to thematrix. Rows and columns can represent anything
which may be traced against each other. Let's assume that we want to see traces between requirements and test cases.
This is where your own logic comes into play - the way you determine which items exist and what is traced against each other is up to you and what the source of your data is. For this example, we just use some hardcoded values.fortestcase_idin("TC_1","TC_2","TC_3"):matrix.add_row(testcase_id)forrequirement_idin("REQ_1","REQ_2","REQ_3","REQ_4"):matrix.add_column(requirement_id)matrix.add_trace("TC_1","REQ_1")matrix.add_trace("TC_2","REQ_2")matrix.add_trace("TC_2","REQ_3")Note that rows and columns must be unique - you cannot have two rows or two columns with the sameid.
When you add a trace between a row and a column, theTraceabilityMatrixwill look up the correspondingTraceIteminstances itself.Finally, you can save the output to disk:matrix.write_matrix("traceability_matrix.html)ChangelogV1.0.1FixesRemove empty lines in CSV output on windows
Closes #2V1.0.0API changes:TraceItemhas been degraded to a simple dataclass. The methodsget_by_idandadd_tracehave been removed. Adding items (rows or columns) to aTraceabilityMatrixis now done by usingTraceabilityMatrix.add_row(row_id)andTraceabilityMatrix.add_column(column_id). Traces between rows and columns are created by callingTraceabilityMatrix.add_trace(row_id, column_id). To all these methods, theidis passed as a string. The end user does not need to work with theTraceItemclass any more.
Package: traceme
tracemeIs astructloghelper library that helps you to debug and trace your
code. It aims to replaceprintdebugging with a more powerful and
permanent solution.InstallationpipinstalltracemeUsageimportmathfromcollections.abcimportCallableimportstructlogimporttracemelogger=structlog.get_logger()@traceme.info(exit=True)defadd(a:int,b:int,cont:Callable[[int],None])->None:cont(a+b)@traceme.info(exit=True)defsquare(a:int,cont:Callable[[int],None])->None:cont(a*a)@traceme.info(exit=True)defsqrt(a:int,cont:Callable[[int],None])->None:cont(int(math.sqrt(a)))@traceme.info(exit=True)defpythagoras(a:int,b:int,cont:Callable[[int],None])->None:square(a,lambdaa2:square(b,lambdab2:add(a2,b2,lambdaa2b2:sqrt(a2b2,cont,),),),)if__name__=="__main__":traceme.configure()pythagoras(3,4,lambdaresult:logger.info("The result is",result=result))This will output:❯poetryrunpythontests/test_pythagoras.py2024-02-10T15:52:19.284431Z[info]│▶pythagorasargs=(3,4,<function<lambda>at0x1040c2840>)kwargs={}module=test_pythagoras2024-02-10T15:52:19.313361Z[info]││▶squareargs=(3,<functionpythagoras.<locals>.<lambda>at0x1040c2ac0>)kwargs={}module=test_pythagoras2024-02-10T15:52:19.313621Z[info]│││▶squareargs=(4,<functionpythagoras.<locals>.<lambda>.<locals>.<lambda>at0x1040c2c00>)kwargs={}module=test_pythagoras2024-02-10T15:52:19.314165Z[debug]││││▶addargs=(9,16,<functionpythagoras.<locals>.<lambda>.<locals>.<lambda>.<locals>.<lambda>at0x1040c2ca0>)kwargs={}module=test_pythagoras2024-02-10T15:52:19.314407Z[info]│││││▶sqrtargs=(25,<function<lambda>at0x1040c2840>)kwargs={}module=test_pythagoras2024-02-10T15:52:19.314616Z[debug]││││││Theresultismodule=test_pythagorasresult=52024-02-10T15:52:19.314806Z[info]│││││◀sqrtelapsed=399usmodule=test_pythagoras2024-02-10T15:52:19.315301Z[info]│││◀squareelapsed=1.68msmodule=test_pythagoras2024-02-10T15:52:19.315493Z[info]││◀squareelapsed=2.15msmodule=test_pythagoras2024-02-10T15:52:19.315676Z[info]│◀pythagoraselapsed=31.27msmodule=test_pythagoras
Package: tracemoepy
TraceMoePYInstallInstall using pip:pip install tracemoepyExamplesAll the examples below are after this piece of code:importtracemoepytracemoe=tracemoepy.tracemoe.TraceMoe()Search image using url:resp=tracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)print(resp.prettify())print(f"Match:{resp.result[0].anilist.title.romaji}\nSimilarity:{resp.result[0].similarity*100}")Or just file path:print(tracemoe.search('image.jpg',upload_file=True))Save Video Preview:output=tracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)output.result[0].save('preview.mp4',mute=False)# True for silentSave Video preview (2)output=tracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)video=tracemoe.natural_preview(output)withopen('preview.mp4','wb')asf:f.write(video)Save Image Previewoutput=tracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)output.result[0].save(save_path='preview.png',preview_type="image")Image Preview (Method 2)output=tracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)tracemoe.image_preview(output)# Gives contentYou can do help(method_name) to get more info about the given methodhelp(tracemoe.search)AsyncioAll the examples below assume you are running this inside a async functionBasic search (AioHttp session is not closed, You can access it as .aio_session)importtracemoepytracemoe=tracemoepy.AsyncTrace()resp=awaittracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)print(f"Match:{resp.result[0].anilist.title.romaji}\nSimilarity:{resp.result[0].similarity*100}")Auto close sessionimporttracemoepyasyncwithtracemoepy.AsyncTrace()astracemoe:resp=awaittracemoe.search('https://trace.moe/img/flipped-good.jpg',is_url=True)print(f"Match:{resp.result[0].anilist.title.romaji}\nSimilarity:{resp.result[0].similarity*100}")ErrorsTooManyRequests: Raised when API Limit is reached or Too many requests in short period of time.EntityTooLarge: Raised when image size is greater than max size of 10MB.ServerError: Raised when Something wrong with the trace.moe server or Image provided was malformed.InvalidToken: Raised when Invalid token was provided.EmptyImage: Raised when Image provided was empty.InvalidPath: Invalid path was given, This is only raised by.save(...)methodAll these errors are located at tracemoepy.errors, Example of handling Exception:fromtracemoepy.errorsimportTooManyRequeststry:# Do somethingexceptTooManyRequestsast:print(t)# Do something if error
Package: tracemoe-py
tracemoe-pyA minimal asynchronous API wrapper fortrace.moe.InstallationPython 3.6 or higher is required.pipinstalltracemoe-pyUsageimportasynciofromtracemoeimportTraceMoeasyncdefmain():asyncwithTraceMoe()astracemoe:# Search by image URLresults:list=awaittracemoe.search('https://XXX/XXX.jpg')print(results)# Search by image uploadresults:list=awaittracemoe.search(open('/home/ichbinleoon/XXX.jpg','rb'))print(results)# Get account infoinfo:dict=awaittracemoe.me()print(info)asyncio.run(main())Advanced UsageimportasyncioimportaiohttpfromtracemoeimportTraceMoeasyncdefmain():# Use an API keytracemoe=TraceMoe(api_key='Your API key')# Cut black bordersresults:list=awaittracemoe.search('https://XXX/XXX.jpg',cut_borders=True)print(results)# Filter by AniList IDresults:list=awaittracemoe.search('https://XXX/XXX.jpg',anilist_id=11617)print(results)# Include AniList inforesults:list=awaittracemoe.search('https://XXX/XXX.jpg',anilist_info=True)print(results)awaittracemoe.close()# Use your own aiohttp sessionsession=aiohttp.ClientSession()tracemoe=TraceMoe(session=session)# ...awaittracemoe.close()asyncio.run(main())ContributeContributions are welcome! Feel free to open issues or submit pull requests!LicenseMIT ©IchBinLeoon
Package: tracenl
Netlink TracerNetlink is a socket-based interface used for communication between the Linux
kernel and userspace applications.tracenlis a proof-of-concept tool for monitoring and decoding Netlink
messages at a process level. It is implemented as a thin wrapper aroundpython-ptraceandpyroute2.InstallationInstall withpip:$ pip install tracenlUsageTypical usage:$ tracenl -- iw dev

[4292] sendmsg(fd=3, msg=0x00007ffcc5215100, flags=0x0000000000000000) = 32 (0x0000000000000020)
  {'attrs': [('NL80211_ATTR_WIPHY_NAME', 'nl80211')],
   'cmd': 3,
   'header': {'flags': 5,
              'length': 32,
              'pid': 1786777796,
              'sequence_number': 1589321889,
              'type': 16},
   'reserved': 0,
   'version': 1}

[4292] recvmsg(fd=3, msg=0x00007ffcc5215090, flags=0x0000000000000022) = 2316 (0x000000000000090c)
  {'attrs': [('NL80211_ATTR_WIPHY_NAME', 'nl80211'),
             ('NL80211_ATTR_WIPHY', 29),
             ('NL80211_ATTR_IFINDEX', 1),
             ('NL80211_ATTR_IFNAME', ''),
             ('NL80211_ATTR_IFTYPE', 278),
             ('NL80211_ATTR_MAC', '14:00:01:00:08:00'),
             ('NL80211_ATTR_KEY_DATA', '....')],
...LimitationsIn its current state,tracenlhas significant limitations:Only decodes nl80211 messages.No support for attaching to running processes.Unattractive console output