mukulpatnaik / researchgpt Goto Github PK
View Code? Open in Web Editor NEWA LLM based research assistant that allows you to have a conversation with a research paper
Home Page: https://www.dara.chat
License: MIT License
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hchaudhary1 hanok2 musaaqeel greenrock21 ralf12358 jiht76 ef08 hellnation13 ckangwei83 patrickgdl lars1852 zhangineer2 everythingneurodiversity 0xwtc bez8888 pakaca phantomgm scottgeraldk zeyangding96 mrcodechef mooreliving777 dantoac delaguardianick m3hari chris-han vck ahmadali016 nuces-isb positioner nuces-isb muhammad-afnan-akram syedmustafa145 sameedz tokenbender eqan msindisi riseansmal huinalam johnisanerd junumoon kanapazombie binatli a-yhw mulinfro benboys1999 i-skolf changchun-lin ryangoabroad vladius-inno xmarquez tinyadapter dumpmemory anshengqiang whosnail yuchenssr github-songsong hemanttarak enjoysport2022 iuriimattos2 qscuio techthiyanes staskaer sdy-ak lattic bjjacking qingqinggit1 d-st-sword dlcomps liaoweiyang2017 qitiandashengsunwukong lonelydavid secp8x32 ukaserge kkang09 zandis sechan9999 0x738a saxoji halcykon breakds lorwin0130 liuyaaa fangsen9000 lavineleo tec108 paulsunnypark kairosial britse opfour boss2256 rhinojosa fengsanyunyan evdcush shinezyy ailabteam podsnigame liusishan statlib ydzdfci jasonmoriartyresearchgpt's Issues
Increasing maximum paper length to not run into AttributeError: 'DataFrame' object has no attribute 'embeddings'
I noticed when putting a pdf with about 30 pages into the program I get the Error: AttributeError: 'DataFrame' object has no attribute 'embeddings'. I think it would be useful that for the time being that the program warns you that the text is too long and cannot be read in.
I understand that the API has a token limit but also a memory, would it be possible to expand the code to splice up longer pdfs so that it can be fed to the api bit by bit in the background.
Further I would like to know what amount of pages on average is a safe number to input for the current build, what are your experiences?
Demo provided in the README.md, when asked about the loaded paper, provides answers from other paper.
The first couple of times it worked as expected, then it started to misbehave and provided answers about totally different papers.
Browser used: Safari, version 15.6.1 (17613.3.9.1.16)
Hosting on my site
I'm trying to host this on my site and when I upload a pdf I get the following errors:
POST https://[MYSITE]/process_pdf 403
(anonymous) @ script.js:170
SyntaxError: Unexpected token '<', "<!DOCTYPE "... is not valid JSON
(anonymous) @ script.js:189
Promise.catch (async)
(anonymous) @ script.js:187
Any help would be appreciated.
KeyError: 'CLOUD_STORAGE_BUCKET'
How to set it in China？
openai.error.RateLimitError: Rate limit reached for default-global-with-image-limits in organization org-EYMHJ4WPJuouHcXEpYItmmf1 on requests per min. Limit: 60.000000 / min. Current: 100.000000 / min. Contact [email protected] if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method.
Online PDF download issue
Once input a pdf url in input[pdf-url], always has error, same on your demo website
ModuleNotFoundError: No module named 'sklearn'
from openai.embeddings_utils import get_embedding, cosine_similarity
File "/opt/homebrew/lib/python3.10/site-packages/openai/embeddings_utils.py", line 7, in
from sklearn.decomposition import PCA
ModuleNotFoundError: No module named 'sklearn'
Clarification on variable 'CLOUD_STORAGE_BUCKET'
Hello,
Thank you for your effort in developing this tool!
I am trying to deploy a local version of this, however is not sure what is this 'CLOUD_STORAGE_BUCKET' variable. I can tell that its for google cloud, but i am not sure how to setup this BUCKET thing to get this app to work locally.
If you can provide more detail about this is REAME, that would be great!
Thanks,
Michael
No results displayed after loading URL
From a Windows 10 desktop, running in PowerShell, in a Conda virtual environment, I tried the same URL you did in your demo
https://arxiv.org/pdf/1706.03762.pdf but was not successful.
The UI continues to display the message "Loading..."
Here is the output from the command line:
10.20.30.40 - - [15/Feb/2023 10:59:57] "GET / HTTP/1.1" 200 -
{'Date': 'Wed, 15 Feb 2023 16:00:41 GMT', 'Server': 'Apache', 'Strict-Transport-Security': 'max-age=31536000', 'Set-Cookie': 'browser=12.46.106.164.1676476842433583; path=/; max-age=946080000; domain=.arxiv.org', 'Last-Modified': 'Thu, 07 Dec 2017 01:03:18 GMT', 'ETag': '"16bf6527-219864-55fb5a236f4fb"', 'Accept-Ranges': 'bytes', 'Content-Length': '2201700', 'Access-Control-Allow-Origin': '*', 'Keep-Alive': 'timeout=8, max=100', 'Connection': 'Keep-Alive', 'Content-Type': 'application/pdf'}
Parsing paper
Total number of pages: 15
Done parsing paper
Creating dataframe
Done creating dataframe
Calculating embeddings
Done calculating embeddings
Done processing pdf
10.20.30.40 - - [15/Feb/2023 11:00:53] "POST /download_pdf HTTP/1.1" 200 -
Error: Request to OpenAI failed. Please try again.
i have got error with /reply 500 error.
if i use url，i got NameError: name 'df' is not defined.
if i use document, i got IndexError: single positional indexer is out-of-bounds.
Can you guys help me. Sad!
Module "_md5" in main.py could not be resolved!
Just like this:
I have done "pip install -r requirements.txt", but still have this error in VSCode.
can this read Chinese paper?
Changing AI API
Curious if you know how this can be modified to use hugging face all-minilm-l6-v2 for the embeddings and gpt-neo2.7b. Could be a similar way to do it for free (or low cost in production) I've been working on modifying it but haven't quite figured it out yet. keep running into one bug or another.
How much money to parse a paper.
The ChatGPT API is not free.
According to the https://openai.com/pricing
Has anyone estimated how much money to analyze a paper?
why you validating a length of 30 characters
Hi, just want to clarify what is the purpose of this block
for row in pdf:
if len(row['text']) < 30:
continue
filtered_pdf.append(row)
Why the criteria is 30 characters ?
I'd like to contribute to the project, but first I need to understand a little bit about the implementation
ChatGPT API
I tried:
r = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=prompt,
temperature=0.4,
max_tokens=1500)
in main-local.py
but doesn't work
Request for Multi-User Support in Public Deployment
Thank you for creating this amazing tool that benefits researchers. However, it currently only supports one user at a time, which may cause conflicts when deployed as a public service. It would be great if the tool could support multiple users to avoid such conflicts.
Problem when performing the 'python main-local.py'
Hi, I met this WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead when I was performing the python main-local.py, and I wonder what I could to handle this.
I got this error during installation
error: Command "/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_18025979-d416-4757-81ac-797dee762f1112z4f54t/croots/recipe/python-split_1654083066155/_build_env/bin/llvm-ar rcs build/temp.macosx-11.1-arm64-3.9/libnpymath.a build/temp.macosx-11.1-arm64-3.9/numpy/core/src/npymath/npy_math.o build/temp.macosx-11.1-arm64-3.9/build/src.macosx-11.1-arm64-3.9/numpy/core/src/npymath/ieee754.o build/temp.macosx-11.1-arm64-3.9/build/src.macosx-11.1-arm64-3.9/numpy/core/src/npymath/npy_math_complex.o build/temp.macosx-11.1-arm64-3.9/numpy/core/src/npymath/halffloat.o" failed with exit status 127
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
UnicodeDecodeError: utf-8 codec can't decode byte 0xce in position 0: invalid continuation byte
Syntax error when self-hosting
I get the following error when trying to run the .py script after copying the repo on my server:
:~/researchgpt$ python main-local.py
File "main-local.py", line 20
print(f"Total number of pages: {number_of_pages}")
SyntaxError: invalid syntax
"File Does Not Exist" after Question
On the demo, after uploading any PDF and entering a question, I get the message "File Does Not Exist".
I tried using different OpenAI APIs and different PDFs.
Consol:
Uncaught (in promise) ReferenceError: error is not defined
at create_prompt (script.js:152:66)
at async HTMLButtonElement. (script.js:246:14)
support Azure OpenAI ?
It supports the same methods "Completion" and "embeddings" but has different authentication setup.
https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference
[google cloud deployment] SyntaxError: Unexpected token '<', "<!doctype "... is not valid JSON
It worked fine local, but the following error occurred after google cloud deployment.
SyntaxError: Unexpected token '<', "<!doctype "... is not valid JSON
I think... It seems to be a fetch and .then problem.
JavaScript code expected to receive JSON but got something else instead (probably HTML in the form of a server-side error).
Thanks for any help.
Lilian
researchgpt/static/js/script.js
Line 37 in 40ce0e7
[Feature Request] Automatically save the conversation and save the commonly-used prompts for reuse
Thank you guys for developing this fantistic app, and it works very well.
- I am wondering if it is possible to automatically save the conversation between the user and chatgpt in a file with the same title as the paper;
- Also, would you also like to add the feature to save the custommer-designed prompts for next-time use?
Thank you
seem doesn't work on AWS EC2 (maybe my wrong setup...)
After I run root@ip-172-31-2-32:/home/ubuntu/researchgpt# python3 main-local.py
I got these as follows:
- Serving Flask app 'main-local'
- Debug mode: on
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. - Running on all addresses (0.0.0.0)
- Running on http://127.0.0.1:8080
- Running on http://172.31.2.32:8080
Press CTRL+C to quit - Restarting with stat
- Debugger is active!
- Debugger PIN: 175-455-407
but when I copy http://172.31.2.32:8080 into a Chrome broswer , I got error message:
Unable to reach this site 172.31.2.32 is taking too long to respond.
Please try the following:
check network connection
Check proxy servers and firewalls
Run Windows Network Diagnostics
ERR_CONNECTION_TIMED_OUT
Any suggestion to fix this? thanks much!
Error: Processing the pdf failed due to excess load. Please try again later. Check the URL if there is https:// at the beginning. If not, add it.
calculating embeddings
Installation errors
I couldn't install it after two attempts.
Unable to open PDF with error message about API key
Error: Request to server failed. Please make sure your API key is correct. Close this tab and try again. Sorry for the inconvenience!
I have tried adding my (new) API key multiple times, but every time it just gives this error after uploading a PDF to https://researchgpt.ue.r.appspot.com/
ssl.SSLEOFError: EOF occurred in violation of protocol (_ssl.c:1131)
当我开启了代理，上传PDF时候会报错如标题，但我不知道怎么改
When I turn on the proxy, an error is reported when uploading the PDF, but I don't know how to change it
KeyError: 'text'
Traceback (most recent call last):
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
return self._engine.get_loc(casted_key)
File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'text'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask/app.py", line 2551, in call
return self.wsgi_app(environ, start_response)
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask/app.py", line 2531, in wsgi_app
response = self.handle_exception(e)
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask_cors/extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask/app.py", line 2528, in wsgi_app
response = self.full_dispatch_request()
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask/app.py", line 1825, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask_cors/extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask/app.py", line 1823, in full_dispatch_request
rv = self.dispatch_request()
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/flask/app.py", line 1799, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
File "/Users/tom/Downloads/researchgpt/main-local.py", line 158, in process_pdf
df = chatbot.paper_df(paper_text)
File "/Users/tom/Downloads/researchgpt/main-local.py", line 81, in paper_df
df['length'] = df['text'].apply(lambda x: len(x))
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/pandas/core/frame.py", line 3807, in getitem
indexer = self.columns.get_loc(key)
File "/Users/tom/miniconda3/envs/researchgpt-main/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
raise KeyError(key) from err
KeyError: 'text'
reply：Error: Request to OpenAI failed. Please try again. is it a network problem？
Done calculating embeddings
Done processing pdf
127.0.0.1 - - [05/Apr/2023 13:23:44] "POST /process_pdf HTTP/1.1" 200 -
127.0.0.1 - - [05/Apr/2023 13:24:12] "POST /reply HTTP/1.1" 500 -
Traceback (most recent call last):
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask\app.py", line 2551, in call
return self.wsgi_app(environ, start_response)
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask\app.py", line 2531, in wsgi_app
response = self.handle_exception(e)
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask_cors\extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask\app.py", line 2528, in wsgi_app
response = self.full_dispatch_request()
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask\app.py", line 1825, in full_dispatch_request
rv = self.handle_user_exception(e)
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask_cors\extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask\app.py", line 1823, in full_dispatch_request
rv = self.dispatch_request()
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\flask\app.py", line 1799, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
File "F:\ChatGPT\researchgpt-main\main-local.py", line 181, in reply
prompt = chatbot.create_prompt(df, query)
File "F:\ChatGPT\researchgpt-main\main-local.py", line 112, in create_prompt
result = self.search_embeddings(df, user_input, n=3)
File "F:\ChatGPT\researchgpt-main\main-local.py", line 107, in search_embeddings
sources.append({'Page '+str(results.iloc[i]['page']): results.iloc[i]['text'][:150]+'...'})
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\pandas\core\indexing.py", line 1103, in getitem
return self._getitem_axis(maybe_callable, axis=axis)
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\pandas\core\indexing.py", line 1656, in _getitem_axis
self._validate_integer(key, axis)
File "F:\ChatGPT\researchgpt-main\myenv\lib\site-packages\pandas\core\indexing.py", line 1589, in _validate_integer
raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds
Supplement: I am deploying in a virtual environment：python -m venv myenv；myenv\Scripts\activate；python main-local.py
Installation fails
The error happens at the stage of installing dependencies.
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
Macbook Air M1
MacOS Monterey
y/lib
copying numpy/lib/scimath.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/_version.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/user_array.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/format.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/twodim_base.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/financial.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/index_tricks.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/npyio.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/shape_base.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/stride_tricks.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/utils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/arrayterator.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/function_base.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/arraysetops.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/arraypad.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/type_check.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/polynomial.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/_datasource.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
copying numpy/lib/ufunclike.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib
creating build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_type_check.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_utils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_twodim_base.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_polynomial.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test__iotools.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_shape_base.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_ufunclike.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_index_tricks.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_arrayterator.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test__version.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_io.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_arraysetops.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_function_base.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_arraypad.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_mixins.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_packbits.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test__datasource.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_stride_tricks.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_financial.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_recfunctions.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_nanfunctions.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_format.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_histograms.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
copying numpy/lib/tests/test_regression.py -> build/lib.macosx-10.9-universal2-3.9/numpy/lib/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/linalg
copying numpy/linalg/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg
copying numpy/linalg/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg
copying numpy/linalg/linalg.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg
creating build/lib.macosx-10.9-universal2-3.9/numpy/linalg/tests
copying numpy/linalg/tests/test_linalg.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg/tests
copying numpy/linalg/tests/test_deprecations.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg/tests
copying numpy/linalg/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg/tests
copying numpy/linalg/tests/test_build.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg/tests
copying numpy/linalg/tests/test_regression.py -> build/lib.macosx-10.9-universal2-3.9/numpy/linalg/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/extras.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/testutils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/core.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/bench.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/timer_comparison.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
copying numpy/ma/mrecords.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma
creating build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_old_ma.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_core.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_deprecations.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_subclassing.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_extras.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_mrecords.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
copying numpy/ma/tests/test_regression.py -> build/lib.macosx-10.9-universal2-3.9/numpy/ma/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib
copying numpy/matrixlib/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib
copying numpy/matrixlib/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib
copying numpy/matrixlib/defmatrix.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib
creating build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_matrix_linalg.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_defmatrix.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_interaction.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_numeric.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_masked_matrix.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_multiarray.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_regression.py -> build/lib.macosx-10.9-universal2-3.9/numpy/matrixlib/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/laguerre.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/_polybase.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/polyutils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/hermite_e.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/chebyshev.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/polynomial.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/legendre.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
copying numpy/polynomial/hermite.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial
creating build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_chebyshev.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite_e.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polynomial.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_laguerre.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_legendre.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_printing.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_classes.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polyutils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/polynomial/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/random
copying numpy/random/_pickle.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random
copying numpy/random/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random
copying numpy/random/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random
creating build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_generator_mt19937.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_randomstate.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_direct.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_extending.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_smoke.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_randomstate_regression.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_seed_sequence.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_generator_mt19937_regressions.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_random.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
copying numpy/random/tests/test_regression.py -> build/lib.macosx-10.9-universal2-3.9/numpy/random/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/testing
copying numpy/testing/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing
copying numpy/testing/setup.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing
copying numpy/testing/utils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing
copying numpy/testing/print_coercion_tables.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing
creating build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
copying numpy/testing/_private/nosetester.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
copying numpy/testing/_private/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
copying numpy/testing/_private/noseclasses.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
copying numpy/testing/_private/utils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
copying numpy/testing/_private/parameterized.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
copying numpy/testing/_private/decorators.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/_private
creating build/lib.macosx-10.9-universal2-3.9/numpy/testing/tests
copying numpy/testing/tests/test_utils.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/tests
copying numpy/testing/tests/test_decorators.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/tests
copying numpy/testing/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/tests
copying numpy/testing/tests/test_doctesting.py -> build/lib.macosx-10.9-universal2-3.9/numpy/testing/tests
creating build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_warnings.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_matlib.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_ctypeslib.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_numpy_version.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/__init__.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_reloading.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_public_api.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
copying numpy/tests/test_scripts.py -> build/lib.macosx-10.9-universal2-3.9/numpy/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using new_build_clib
building 'npymath' library
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
creating build/temp.macosx-10.9-universal2-3.9
creating build/temp.macosx-10.9-universal2-3.9/numpy
creating build/temp.macosx-10.9-universal2-3.9/numpy/core
creating build/temp.macosx-10.9-universal2-3.9/numpy/core/src
creating build/temp.macosx-10.9-universal2-3.9/numpy/core/src/npymath
creating build/temp.macosx-10.9-universal2-3.9/build
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath
compile options: '-Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -c'
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath/npy_math_complex.c
clang: numpy/core/src/npymath/npy_math.c
clang: numpy/core/src/npymath/halffloat.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath/ieee754.c
ar: adding 4 object files to build/temp.macosx-10.9-universal2-3.9/libnpymath.a
warning: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: archive library: build/temp.macosx-10.9-universal2-3.9/libnpymath.a will be fat and ar(1) will not be able to operate on it
ranlib:@ build/temp.macosx-10.9-universal2-3.9/libnpymath.a
building 'npysort' library
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort
compile options: '-Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -c'
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/timsort.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/heapsort.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/mergesort.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/binsearch.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/radixsort.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/selection.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npysort/quicksort.c
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
22 warnings generated.
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
22 warnings generated.
ar: adding 7 object files to build/temp.macosx-10.9-universal2-3.9/libnpysort.a
warning: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: archive library: build/temp.macosx-10.9-universal2-3.9/libnpysort.a will be fat and ar(1) will not be able to operate on it
ranlib:@ build/temp.macosx-10.9-universal2-3.9/libnpysort.a
building 'npyrandom' library
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
creating build/temp.macosx-10.9-universal2-3.9/numpy/random
creating build/temp.macosx-10.9-universal2-3.9/numpy/random/src
creating build/temp.macosx-10.9-universal2-3.9/numpy/random/src/distributions
compile options: '-Inumpy/core/include -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -c'
clang: numpy/random/src/distributions/logfactorial.c
clang: numpy/random/src/distributions/distributions.c
clang: numpy/random/src/distributions/random_mvhg_count.c
clang: numpy/random/src/distributions/random_mvhg_marginals.c
clang: numpy/random/src/distributions/random_hypergeometric.c
ar: adding 5 object files to build/temp.macosx-10.9-universal2-3.9/libnpyrandom.a
warning: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: archive library: build/temp.macosx-10.9-universal2-3.9/libnpyrandom.a will be fat and ar(1) will not be able to operate on it
ranlib:@ build/temp.macosx-10.9-universal2-3.9/libnpyrandom.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using new_build_ext
building 'numpy.core._multiarray_tests' extension
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src/multiarray
creating build/temp.macosx-10.9-universal2-3.9/numpy/core/src/common
compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -c'
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/multiarray/_multiarray_tests.c
clang: numpy/core/src/common/mem_overlap.c
clang -bundle -undefined dynamic_lookup -arch arm64 -arch x86_64 -Wl,-headerpad,0x1000 build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-10.9-universal2-3.9/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-10.9-universal2-3.9 -lnpymath -o build/lib.macosx-10.9-universal2-3.9/numpy/core/_multiarray_tests.cpython-39-darwin.so
ld: warning: -undefined dynamic_lookup may not work with chained fixups
ld: warning: -undefined dynamic_lookup may not work with chained fixups
building 'numpy.core._multiarray_umath' extension
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration
creating build/temp.macosx-10.9-universal2-3.9/numpy/core/src/multiarray
creating build/temp.macosx-10.9-universal2-3.9/numpy/core/src/umath
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src/umath
creating build/temp.macosx-10.9-universal2-3.9/build/src.macosx-10.9-universal2-3.9/numpy/core/src/common
creating build/temp.macosx-10.9-universal2-3.9/private
creating build/temp.macosx-10.9-universal2-3.9/private/var
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T/pip-install-03vxh7y2
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T/pip-install-03vxh7y2/numpy_aa6e8fc52b974c61ab810e0fc6963c0f
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T/pip-install-03vxh7y2/numpy_aa6e8fc52b974c61ab810e0fc6963c0f/numpy
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T/pip-install-03vxh7y2/numpy_aa6e8fc52b974c61ab810e0fc6963c0f/numpy/_build_utils
creating build/temp.macosx-10.9-universal2-3.9/private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T/pip-install-03vxh7y2/numpy_aa6e8fc52b974c61ab810e0fc6963c0f/numpy/_build_utils/src
compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/umath -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -c'
extra options: '-faltivec -I/System/Library/Frameworks/vecLib.framework/Headers'
clang: numpy/core/src/multiarray/alloc.c
clang: numpy/core/src/multiarray/array_assign_scalar.c
clang: numpy/core/src/multiarray/buffer.c
clang: numpy/core/src/multiarray/common.c
clang: numpy/core/src/multiarray/conversion_utils.c
clang: numpy/core/src/multiarray/datetime_strings.c
clang: numpy/core/src/multiarray/descriptor.c
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/multiarray/einsum.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/hashdescr.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/multiarray/lowlevel_strided_loops.c
clang: numpy/core/src/multiarray/multiarraymodule.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/nditer_constr.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/refcount.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/scalarapi.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/temp_elide.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/vdot.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/umath/loops.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/umath/ufunc_object.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/umath/ufunc_type_resolution.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath/ieee754.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/common/array_assign.c
clang: numpy/core/src/common/ucsnarrow.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: build/src.macosx-10.9-universal2-3.9/numpy/core/src/common/npy_cpu_features.c
clang: /private/var/folders/f1/yvjx9d891rg0b8kqrvv4x26w0000gp/T/pip-install-03vxh7y2/numpy_aa6e8fc52b974c61ab810e0fc6963c0f/numpy/_build_utils/src/apple_sgemv_fix.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
error: Command "clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -iwithsysroot/System/Library/Frameworks/System.framework/PrivateHeaders -iwithsysroot/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/Headers -arch arm64 -arch x86_64 -Werror=implicit-function-declaration -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/umath -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/common -Ibuild/src.macosx-10.9-universal2-3.9/numpy/core/src/npymath -c numpy/core/src/multiarray/buffer.c -o build/temp.macosx-10.9-universal2-3.9/numpy/core/src/multiarray/buffer.o -MMD -MF build/temp.macosx-10.9-universal2-3.9/numpy/core/src/multiarray/buffer.o.d -faltivec -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
gr703z@ALT06127 researchgpt %
Error: Processing the pdf failed due to excess load. Please try again later.
Hey,
Thank you for your cool project!
I wanted to try it out and got the following error:
Error: Processing the pdf failed due to excess load. Please try again later. Check the URL if there is https:// at the beginning. If not, add it.
Is this normal?
Is there a bug in Line64 of parse_paper
Line 64 in 1024393
for i in range(number_of_pages):
...
for t in page_text:
"""do something on processed_text"""
...
paper_text += processed_text
In this line, paper_text add processed_text to it during each iteration in page_text, but processed_text seems to grow to include the text of the whole page in the end. There seems to be a lot of duplicates.
When I change the codes to the following, the duplicates can be removed in paper_text.
for i in range(number_of_pages):
...
for t in page_text:
"""do something on processed_text"""
...
paper_text += processed_text
It seems that the answer is completely different from the article
I tried to guide into the classic paper "Attention Is All You Need" and asked him what the article mainly talked about and what it said, but GPT returned me medical-related content, which is not formal
Wrong output
I was asking question "Summarise the paper" on the paper "End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning"
and it giving me this answer
This paper examines the effects of a new type of drug on a particular medical condition. The study was conducted on a sample of 100 participants, with 50 receiving the drug and 50 receiving a placebo. The results showed that the drug had a significant effect on the condition, with a reduction in symptoms in the group receiving the drug compared to the group receiving the placebo. The study also found that the drug had no adverse side effects. This study provides evidence that this new drug could be a safe and effective treatment for this medical condition.
How to improve / give feedback
It seems understanding of papers can be totally wrong... lol
Or make no sense...
OpenAI API key might invalid
I am getting this issue again and again
Error: Your OpenAI API key might invalid. Please make sure you entered your key correctly. If you would like to set it again, please close the tab and try again. Sorry for the inconvenience!
ERROR: Could not build wheels for scikit-learn, which is required to install pyproject.toml-based projects
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for scikit-learn
Failed to build scikit-learn
ERROR: Could not build wheels for scikit-learn, which is required to install pyproject.toml-based projects
anyone kind enough tell me what should i do
Save embeddings
Hello, thanks for this!
Should this also work well for longer texts like books? And if so, can it easily be made to cache the embeddings to disk? I'm assuming it's not that cheap nor fast to do that every time if it's a long thing, right?
improve search_embeddings()
Since this platform mainly consists of researchers involved in academic studies, we can discuss academic issues.
In the search_embeddings( ) function, only similarity sorting and selection of the top n=3 are done. Is there enough reason for this, or does it need to be improved?
I think it is possible to make a selection based on the distribution of similarity. We can select up to the highest point, and if it is a unimodal distribution, the top three should be the corpus near the peak. However, if the similarity distribution is not unimodal, like 2 peaks, selecting the top three directly may cause damage to the corpus, and it may be necessary to select the corpus near the peak and the surrounding area.
One possible method is to select the corpora based on the distribution of similarity. If the similarity distribution is unimodal, we can select the corpora near the peak of the similarity distribution, which should be the ones with the highest similarity. If the similarity distribution is not unimodal, we can select the corpus near the peak and its surrounding area to preserve the overall shape of similarity.
Selecting corpora based on similarity, the most complex (but maybe the best) approach may be to use a Transformer attention mechanism on sentence or paragraph level embedding-vectors to select appropriate reference corpora based on content.
what is best python3 version for this project?
python3.10 or python 3.11 or ?
Thanks!
save the embedding DataFrame
When running locally, the embedding needs to be calculated every time the same PDF is opened, which is somewhat wasteful. It would be best to save the embedding dataframe so that it can be checked before the next use. If the embedding has already been done, it doesn't need to be done again. Additionally, can the embedding dataframe be used as a search index in Zotero?
raise IndexError("single positional indexer is out-of-bounds")
[01/Mar/2023 17:07:00] "POST /reply HTTP/1.0" 500 -
Traceback (most recent call last):
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 2551, in call
return self.wsgi_app(environ, start_response)
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 2531, in wsgi_app
response = self.handle_exception(e)
File "/usr/local/lib/python3.9/dist-packages/flask_cors/extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 2528, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 1825, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.9/dist-packages/flask_cors/extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 1823, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 1799, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
File "/root/researchgpt/main-local.py", line 181, in reply
prompt = chatbot.create_prompt(df, query)
File "/root/researchgpt/main-local.py", line 112, in create_prompt
result = self.search_embeddings(df, user_input, n=3)
File "/root/researchgpt/main-local.py", line 107, in search_embeddings
sources.append({'Page '+str(results.iloc[i]['page']): results.iloc[i]['text'][:150]+'...'})
File "/usr/local/lib/python3.9/dist-packages/pandas/core/indexing.py", line 1073, in getitem
return self._getitem_axis(maybe_callable, axis=axis)
File "/usr/local/lib/python3.9/dist-packages/pandas/core/indexing.py", line 1625, in _getitem_axis
self._validate_integer(key, axis)
File "/usr/local/lib/python3.9/dist-packages/pandas/core/indexing.py", line 1557, in _validate_integer
raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds
script.js:192 Uncaught (in promise) ReferenceError: pdfjsLib is not defined
when upload a PDF file， i got this problem: script.js:192 Uncaught (in promise) ReferenceError: pdfjsLib is not defined
Please reduce your prompt; or completion length.
Traceback (most recent call last):
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 2551, in call
return self.wsgi_app(environ, start_response)
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 2531, in wsgi_app
response = self.handle_exception(e)
File "/usr/local/lib/python3.9/dist-packages/flask_cors/extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 2528, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 1825, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.9/dist-packages/flask_cors/extension.py", line 165, in wrapped_function
return cors_after_request(app.make_response(f(*args, **kwargs)))
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 1823, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.9/dist-packages/flask/app.py", line 1799, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
File "/root/researchgpt/main-local.py", line 182, in reply
response = chatbot.gpt(prompt)
File "/root/researchgpt/main-local.py", line 134, in gpt
r = openai.Completion.create(model="text-davinci-003", prompt=prompt, temperature=0.4, max_tokens=1500)
File "/usr/local/lib/python3.9/dist-packages/openai/api_resources/completion.py", line 25, in create
return super().create(*args, **kwargs)
File "/usr/local/lib/python3.9/dist-packages/openai/api_resources/abstract/engine_api_resource.py", line 153, in create
response, _, api_key = requestor.request(
File "/usr/local/lib/python3.9/dist-packages/openai/api_requestor.py", line 226, in request
resp, got_stream = self._interpret_response(result, stream)
File "/usr/local/lib/python3.9/dist-packages/openai/api_requestor.py", line 619, in _interpret_response
self._interpret_response_line(
File "/usr/local/lib/python3.9/dist-packages/openai/api_requestor.py", line 679, in _interpret_response_line
raise self.handle_error_response(
openai.error.InvalidRequestError: This model's maximum context length is 4097 tokens, however you requested 8842 tokens (7342 in your prompt; 1500 for the completion). Please reduce your prompt; or completion length.
Request to server failed. Please refresh try uploading a copy of the pdf instead. Sorry for the inconvenience!
I open the link from README and upload a pdf that I previously downloaded from here
https://home.uchicago.edu/~amshaikh/webfiles/multiplecar.pdf
I get an error in the top right corner
Error: Request to server failed. Please refresh try uploading a copy of the pdf instead. Sorry for the inconvenience!
The point is that I did upload a copy of pdf.
Chrome, MacOS
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