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An open source library for deep learning end-to-end dialog systems and chatbots.

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Resolves #1418, #1420

Проблемы с зависимостями

[{"_id":"6322d6d5a49e0e1da50a12cb","body":"\u0414\u043e\u0431\u0440\u044b\u0439 \u0434\u0435\u043d\u044c.\r\n\r\n@hadrizi, \u0441\u043f\u0430\u0441\u0438\u0431\u043e \u0437\u0430 issue, \u043c\u044b \u0437\u043d\u0430\u0435\u043c \u043e\u0431 \u044d\u0442\u043e\u0439 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0435 \u0438 \u0440\u0435\u0448\u0430\u0435\u043c \u0435\u0451.\r\n\u0412 \u043f\u0440\u0435-\u0440\u0435\u043b\u0438\u0437\u0435 `1.0.0rc0` \u043c\u044b \u043f\u0435\u0440\u0435\u0448\u043b\u0438 \u043d\u0430 range versioning \u0434\u043b\u044f \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0435\u0439. \u041a\u0440\u043e\u043c\u0435 \u0442\u043e\u0433\u043e, \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 \u0438 \u043c\u043e\u0434\u0435\u043b\u0438, \u043d\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0435 tensorflow, \u0441\u0442\u0430\u043b\u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c python3.8\/3.9.\r\n\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u043f\u0440\u0435-\u0440\u0435\u043b\u0438\u0437 \u043c\u043e\u0436\u043d\u043e \u0447\u0435\u0440\u0435\u0437 pip, \u044f\u0432\u043d\u043e \u0443\u043a\u0430\u0437\u0430\u0432 `==1.0.0rc0`, \u0438\u043b\u0438 \u0438\u0437 \u0438c\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u0432, \u043f\u0435\u0440\u0435\u043a\u043b\u044e\u0447\u0438\u0432\u0448\u0438\u0441\u044c \u043d\u0430 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0439 \u0442\u044d\u0433. \u0411\u0443\u0434\u0435\u043c \u0440\u0430\u0434\u044b \u0432\u0430\u0448\u0435\u043c\u0443 \u043e\u0442\u0437\u044b\u0432\u0443 \u043d\u0430 \u043f\u0440\u0435-\u0440\u0435\u043b\u0438\u0437.","issue_id":1660116270812,"origin_id":1100578431,"user_origin_id":11364929,"create_time":1650087324,"update_time":1650087324,"id":1663227605361,"updated_at":"2022-09-15T07:40:05.360000Z","created_at":"2022-09-15T07:40:05.360000Z"},{"_id":"6322d6d5a49e0e1da50a12cc","body":"\u042d\u0442\u043e \u0440\u0435\u0448\u0430\u0435\u0442 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0443 _\u0432 \u0446\u0435\u043b\u043e\u043c_, \u043e\u0434\u043d\u0430\u043a\u043e \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u0432\u044b\u0433\u043b\u044f\u0434\u044f\u0442 \u043d\u0435\u043c\u043d\u043e\u0433\u043e \u0441\u0442\u0440\u0430\u043d\u043d\u043e. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440 [`uvicorn<=0.17.4`](https:\/\/github.com\/deepmipt\/DeepPavlov\/blob\/1.0.0rc0\/requirements.txt#L24) \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0432\u0440\u0435\u0441\u0438\u044e **\u043c\u0435\u043d\u044c\u0448\u0435 \u0438\u043b\u0438 \u0440\u0430\u0432\u043d\u0443\u044e** `0.17.4`, \u0442\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0432\u0435\u0440\u0441\u0438\u044e `0.0.1`, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u044f\u0432\u043d\u043e \u0441\u043b\u043e\u043c\u0430\u0435\u0442 \u043c\u043e\u0434\u0443\u043b\u044c DeepPavlov, \u043d\u043e \u043d\u0435\u043b\u044c\u0437\u044f \u043f\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c [PATCH'\u0438](https:\/\/semver.org\/#summary) \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 `0.17`, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e:\r\n- \u0441\u0442\u043e\u0438\u0442 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0442\u044c \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 [MINOR \u0438\u043b\u0438 MAJOR](https:\/\/semver.org\/#summary) \u0432\u0435\u0440\u0441\u0438\u0439, \u0442\u043e \u0435\u0441\u0442\u044c `uvicorn~=0.17.4`, \u0447\u0442\u043e \u0442\u0440\u0430\u043d\u0441\u0438\u043b\u0440\u0443\u0435\u0442\u0441\u044f \u0432 `uvicorn>=0.17.4, ==0.17.*`, \u0438\u043b\u0438 `uvicorn~=0.17`, \u0447\u0442\u043e \u0442\u0440\u0430\u043d\u0441\u0438\u043b\u0440\u0443\u0435\u0442\u0441\u044f \u0432 `uvicorn>=0.17, ==0.*`. **NB!** \u0432\u0442\u043e\u0440\u043e\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u043b\u0443\u0447\u0448\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f \u0443\u0436\u0435 \u0440\u0435\u043b\u0438\u0437\u043d\u0443\u0442\u044b\u0445 \u043c\u043e\u0434\u0443\u043b\u0435\u0439, \u0442\u043e \u0435\u0441\u0442\u044c \u0442\u0435\u0445, \u0443 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 [MAJOR](https:\/\/semver.org\/#summary) \u0432\u0435\u0440\u0441\u0438\u044f \u0431\u043e\u043b\u044c\u0448\u0435 `0`, \u0442\u0430\u043a \u043a\u0430\u043a \u0432 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0438\u0438 \u0441 [Semantic Versioning](https:\/\/semver.org\/#spec-item-4) \u044d\u0442\u0438 \u0432\u0435\u0440\u0441\u0438\u0438 \u043f\u043e\u0434\u0432\u0435\u0440\u0436\u0435\u043d\u044b \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044e \u043f\u0443\u0431\u043b\u0438\u0447\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430\r\n- \u0441\u044b\u043c\u0438\u0442\u0430\u0440\u043e\u0432\u0430\u0442\u044c [caret requirements](https:\/\/python-poetry.org\/docs\/dependency-specification\/#caret-requirements)\r\n\r\ncc @IgnatovFedor ","issue_id":1660116270812,"origin_id":1100605322,"user_origin_id":28650696,"create_time":1650097348,"update_time":1650097901,"id":1663227605373,"updated_at":"2022-09-15T07:40:05.373000Z","created_at":"2022-09-15T07:40:05.373000Z"}] comment

**DeepPavlov version**: 0.17.2 **Python version**: 3.10.17 **Operating system**: несущественно для проблемы **Issue**: DeepPavlov использует довольно устаревшую форму контроля зависимостей(обычный [requirements.txt](https://github.com/deepmipt/DeepPavlov/blob/master/requirements.txt)), что создает ряд проблем при использовании модуля в проектах с...

bug

Added 8bit optimizers from https://github.com/facebookresearch/bitsandbytes to the DeepPavlov library. To be tested yet.

AttributeError: module 'numpy.linalg.lapack_lite' has no attribute '_ilp64'

[{"_id":"6322da090d68a95f041b0698","body":"Me too, spent 2 hours to find where I can get \"numpy.linalg.lapack_lite._ilp64\", but failure. At first I want to add # ahead \"HAS_LAPACK64 = numpy.linalg.lapack_lite._ilp64\", but others will use HAS_LAPACK64. \r\n","issue_id":1660116270818,"origin_id":915843326,"user_origin_id":68911446,"create_time":1631173316,"update_time":1631173316,"id":1663228425495,"updated_at":"2022-09-15T07:53:45.495000Z","created_at":"2022-09-15T07:53:45.495000Z"},{"_id":"6322da090d68a95f041b069a","body":"well I too have same error \r\ni unistall numpy and again installed it.\r\nafter that i faced the same error so, i checked whether my numpy folder is in packages or not \r\nsince latest version is installed in site-packages. it is not in packages folder so, i pasted the same in packages folder too \r\nthis time it didn't raise attribute error\r\n","issue_id":1660116270818,"origin_id":1021503770,"user_origin_id":61183363,"create_time":1643136752,"update_time":1643136837,"id":1663228425500,"updated_at":"2022-09-15T07:53:45.499000Z","created_at":"2022-09-15T07:53:45.499000Z"},{"_id":"6322da090d68a95f041b069b","body":"problem solved with :\r\n\r\n1 - pip uninstall -y numpy\r\n2 - pip uninstall -y setuptools\r\n3 - pip install setuptools or conda install setuptools\r\n4 - pip install bumpy or conda install numpy\r\nAny one will work. Conda\/pip","issue_id":1660116270818,"origin_id":1094190974,"user_origin_id":40356827,"create_time":1649570827,"update_time":1649570827,"id":1663228425504,"updated_at":"2022-09-15T07:53:45.504000Z","created_at":"2022-09-15T07:53:45.504000Z"},{"_id":"6616b07123eede2dcf04a195","body":"> pip install bumpy\r\n\r\nGot me an error:\r\n\r\n```\r\nCollecting bumpy\r\n Using cached bumpy-0.4.3.tar.gz (8.9 kB)\r\n Preparing metadata (setup.py) ... error\r\n error: subprocess-exited-with-error\r\n \r\n \u00d7 python setup.py egg_info did not run successfully.\r\n \u2502 exit code: 1\r\n \u2570\u2500> [9 lines of output]\r\n Traceback (most recent call last):\r\n File \"<string>\", line 2, in <module>\r\n File \"<pip-setuptools-caller>\", line 34, in <module>\r\n File \"\/tmp\/pip-install-djv1nl8s\/bumpy_2b89f09fec8d4303a4b34a84a5223c7f\/setup.py\", line 1, in <module>\r\n import bumpy\r\n File \"\/tmp\/pip-install-djv1nl8s\/bumpy_2b89f09fec8d4303a4b34a84a5223c7f\/bumpy.py\", line 157\r\n except Exception, ex:\r\n ^^^^^^^^^^^^^\r\n SyntaxError: multiple exception types must be parenthesized\r\n [end of output]\r\n \r\n note: This error originates from a subprocess, and is likely not a problem with pip.\r\nerror: metadata-generation-failed\r\n\r\n\u00d7 Encountered error while generating package metadata.\r\n\u2570\u2500> See above for output.\r\n\r\nnote: This is an issue with the package mentioned above, not pip.\r\nhint: See above for details.\r\n```","issue_id":1660116270818,"origin_id":1804438919,"user_origin_id":17604849,"create_time":1699556959,"update_time":1699556959,"id":1712762993598,"updated_at":"2024-04-10T15:29:53.598000Z","created_at":"2024-04-10T15:29:53.598000Z"},{"_id":"6616b07123eede2dcf04a196","body":"@IgnatovFedor plz reopen it","issue_id":1660116270818,"origin_id":1804440043,"user_origin_id":17604849,"create_time":1699556985,"update_time":1699556985,"id":1712762993602,"updated_at":"2024-04-10T15:29:53.601000Z","created_at":"2024-04-10T15:29:53.601000Z"},{"_id":"6616b07123eede2dcf04a197","body":"@kopyl it was a typo, change from `bumpy` to `numpy`.","issue_id":1660116270818,"origin_id":1806400624,"user_origin_id":47569716,"create_time":1699648635,"update_time":1699648635,"id":1712762993605,"updated_at":"2024-04-10T15:29:53.604000Z","created_at":"2024-04-10T15:29:53.604000Z"},{"_id":"6616b07123eede2dcf04a198","body":"@Psyhackological thank you. Unfortunately i don't even remember what i needed this thing for :(","issue_id":1660116270818,"origin_id":1807441591,"user_origin_id":17604849,"create_time":1699848079,"update_time":1699848079,"id":1712762993608,"updated_at":"2024-04-10T15:29:53.607000Z","created_at":"2024-04-10T15:29:53.607000Z"},{"_id":"6616b07123eede2dcf04a199","body":"> problem solved with :\r\n> \r\n> 1 - pip uninstall -y numpy 2 - pip uninstall -y setuptools 3 - pip install setuptools or conda install setuptools 4 - pip install bumpy or conda install numpy Any one will work. Conda\/pip\r\n\r\nThis also works in Google Colab as of 1\/10\/2024.","issue_id":1660116270818,"origin_id":1886246055,"user_origin_id":26101303,"create_time":1704949180,"update_time":1704949180,"id":1712762993611,"updated_at":"2024-04-10T15:29:53.611000Z","created_at":"2024-04-10T15:29:53.611000Z"},{"_id":"6616b07123eede2dcf04a19a","body":"for me, this worked using Colab on 29\/02\/24:\r\npip install numpy==1.24.4","issue_id":1660116270818,"origin_id":1972083517,"user_origin_id":13047683,"create_time":1709245958,"update_time":1709245958,"id":1712762993615,"updated_at":"2024-04-10T15:29:53.614000Z","created_at":"2024-04-10T15:29:53.614000Z"}] comment

**DeepPavlov version** : 0.15.0 **Python version**: 3.8.5 **Operating system**: Linux Ubuntu 20.04 **Issue**: **Command that led to error**: ``` from deeppavlov import configs, build_model ner_model = build_model(configs.ner.ner_rus_bert, download=True) #This will...

bug

1) Added tqdm in trainer 2) Added handling separate-class labels as float labels if specified 3) Addled handling quotes while reading dataset if specified

This PR solves the problem with class NumpyArrayEncoder,that does not correctly handle all types of possible inputs.

add roberta support

[{"_id":"6322d7f10d68a95f041b0624","body":"Now distilbert, roberta, xlm, bart and longformer-like models can be trained correctly (confirmed on a GPU)","issue_id":1660116270831,"origin_id":979455217,"user_origin_id":43185527,"create_time":1637871884,"update_time":1637871884,"id":1663227889289,"updated_at":"2022-09-15T07:44:49.289000Z","created_at":"2022-09-15T07:44:49.289000Z"}] comment

Add RoBERTa support in `squad_torch_bert` config. The changes concern the shape of `token_type_ids` specific for RoBERTa