diff --git a/.flake8 b/.flake8 new file mode 100644 index 0000000..79a16af --- /dev/null +++ b/.flake8 @@ -0,0 +1,2 @@ +[flake8] +max-line-length = 120 \ No newline at end of file diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a550b61 --- /dev/null +++ b/.gitattributes @@ -0,0 +1 @@ +* text=crlf \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d9d355f --- /dev/null +++ b/.gitignore @@ -0,0 +1,278 @@ + +# Created by https://www.toptal.com/developers/gitignore/api/python,pycharm+all +# Edit at https://www.toptal.com/developers/gitignore?templates=python,pycharm+all + +### PyCharm+all ### +# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider +# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839 + +# User-specific stuff +.idea/**/workspace.xml +.idea/**/tasks.xml +.idea/**/usage.statistics.xml +.idea/**/dictionaries +.idea/**/shelf + +# AWS User-specific +.idea/**/aws.xml + +# Generated files +.idea/**/contentModel.xml + +# Sensitive or high-churn files +.idea/**/dataSources/ +.idea/**/dataSources.ids +.idea/**/dataSources.local.xml +.idea/**/sqlDataSources.xml +.idea/**/dynamic.xml +.idea/**/uiDesigner.xml +.idea/**/dbnavigator.xml + +# Gradle +.idea/**/gradle.xml +.idea/**/libraries + +# Gradle and Maven with auto-import +# When using Gradle or Maven with auto-import, you should exclude module files, +# since they will be recreated, and may cause churn. Uncomment if using +# auto-import. +# .idea/artifacts +# .idea/compiler.xml +# .idea/jarRepositories.xml +# .idea/modules.xml +# .idea/*.iml +# .idea/modules +# *.iml +# *.ipr + +# CMake +cmake-build-*/ + +# Mongo Explorer plugin +.idea/**/mongoSettings.xml + +# File-based project format +*.iws + +# IntelliJ +out/ + +# mpeltonen/sbt-idea plugin +.idea_modules/ + +# JIRA plugin +atlassian-ide-plugin.xml + +# Cursive Clojure plugin +.idea/replstate.xml + +# SonarLint plugin +.idea/sonarlint/ + +# Crashlytics plugin (for Android Studio and IntelliJ) +com_crashlytics_export_strings.xml +crashlytics.properties +crashlytics-build.properties +fabric.properties + +# Editor-based Rest Client +.idea/httpRequests + +# Android studio 3.1+ serialized cache file +.idea/caches/build_file_checksums.ser + +### PyCharm+all Patch ### +# Ignores the whole .idea folder and all .iml files +# See https://github.com/joeblau/gitignore.io/issues/186 and https://github.com/joeblau/gitignore.io/issues/360 + +.idea/* + +# Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-249601023 + +*.iml +modules.xml +.idea/misc.xml +*.ipr + +# Sonarlint plugin +.idea/sonarlint + +### Python ### +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintainted in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +### VisualStudioCode ### +.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json +!.vscode/*.code-snippets + +# Local History for Visual Studio Code +.history/ + +# Built Visual Studio Code Extensions +*.vsix + +### VisualStudioCode Patch ### +# Ignore all local history of files +.history +.ionide + +# End of https://www.toptal.com/developers/gitignore/api/python,pycharm+all + +# JS +node_modules/ + +test.csv \ No newline at end of file diff --git a/.vscode/extensions.json b/.vscode/extensions.json new file mode 100644 index 0000000..37c2cc0 --- /dev/null +++ b/.vscode/extensions.json @@ -0,0 +1,13 @@ +{ + "recommendations": [ + "ms-python.black-formatter", + "ms-python.flake8", + "ms-python.isort", + "ms-toolsai.jupyter", + "ms-toolsai.datawrangler", + "ms-python.python", + "donjayamanne.python-environment-manager", + // optional + "usernamehw.errorlens" + ] +} \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..a43b215 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,16 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "mai-service", + "type": "debugpy", + "request": "launch", + "program": "run.py", + "console": "integratedTerminal", + "justMyCode": true + } + ] +} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..06082f2 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,38 @@ +{ + "files.autoSave": "onFocusChange", + "files.exclude": { + "**/__pycache__": true + }, + "editor.detectIndentation": false, + "editor.formatOnType": false, + "editor.formatOnPaste": true, + "editor.formatOnSave": true, + "editor.tabSize": 4, + "editor.insertSpaces": true, + "editor.codeActionsOnSave": { + "source.organizeImports": "explicit", + "source.sortImports": "explicit" + }, + "editor.stickyScroll.enabled": false, + "diffEditor.ignoreTrimWhitespace": false, + "debug.showVariableTypes": true, + "workbench.editor.highlightModifiedTabs": true, + "git.suggestSmartCommit": false, + "git.autofetch": true, + "git.openRepositoryInParentFolders": "always", + "git.confirmSync": false, + "errorLens.gutterIconsEnabled": true, + "errorLens.messageEnabled": false, + "[python]": { + "editor.defaultFormatter": "ms-python.black-formatter", + }, + "python.languageServer": "Pylance", + "python.analysis.typeCheckingMode": "basic", + "python.analysis.autoImportCompletions": true, + "isort.args": [ + "--profile", + "black" + ], + "notebook.lineNumbers": "on", + "notebook.output.minimalErrorRendering": true, +} \ No newline at end of file diff --git a/assets/lec2-split.png b/assets/lec2-split.png new file mode 100644 index 0000000..fad8160 Binary files /dev/null and b/assets/lec2-split.png differ diff --git a/assets/quantile.png b/assets/quantile.png new file mode 100644 index 0000000..d44e6ff Binary files /dev/null and b/assets/quantile.png differ diff --git a/backend/__init__.py b/backend/__init__.py new file mode 100644 index 0000000..2ef306b --- /dev/null +++ b/backend/__init__.py @@ -0,0 +1,52 @@ +import importlib +import os +import traceback + +import matplotlib +from apiflask import APIBlueprint, APIFlask +from flask_cors import CORS + +matplotlib.use("agg") + +cors = CORS() +api_bp = APIBlueprint("api", __name__, url_prefix="/api/v1") +dataset_path: str | None = None + + +class Config: + SECRET_KEY = "secret!" + SEND_FILE_MAX_AGE_DEFAULT = -1 + + +def create_app(): + global dataset_path + + # Create and configure app + app = APIFlask( + "MAI Service", + title="MAI Service API", + docs_path="/", + version="1.0", + static_folder="", + template_folder="", + ) + app.config.from_object(Config) + + dataset_path = os.path.join(app.instance_path, "dataset") + os.makedirs(dataset_path, exist_ok=True) + + @app.errorhandler(Exception) + def my_error_processor(error): + traceback.print_exception(error) + return {"message": str(error), "detail": "No details"}, 500 + + # Import custom REST methods + importlib.import_module("backend.api") + + # Enable REST API + app.register_blueprint(api_bp) + + # Enable app extensions + cors.init_app(app) + + return app diff --git a/backend/api.py b/backend/api.py new file mode 100644 index 0000000..2f6d2be --- /dev/null +++ b/backend/api.py @@ -0,0 +1,57 @@ +from apiflask import FileSchema, Schema, fields +from flask import send_file + +from backend import api_bp, dataset_path +from backend.service import Service + + +class FileUpload(Schema): + file = fields.File(required=True) + + +class ColumnInfoDto(Schema): + datatype = fields.String() + items = fields.List(fields.String()) + + +class TableColumnDto(Schema): + name = fields.String() + datatype = fields.String() + items = fields.List(fields.String()) + + +service = Service(dataset_path) + + +@api_bp.post("/dataset") +@api_bp.input(FileUpload, location="files") +def upload_dataset(files_data): + uploaded_file = files_data["file"] + return service.upload_dataset(uploaded_file) + + +@api_bp.get("/dataset") +def get_all_datasets(): + return service.get_all_datasets() + + +@api_bp.get("/dataset/") +@api_bp.output(TableColumnDto(many=True)) +def get_dataset_info(name: str): + return service.get_dataset_info(name) + + +@api_bp.get("/dataset//") +@api_bp.output(ColumnInfoDto) +def get_column_info(name: str, column: str): + return service.get_column_info(name, column) + + +@api_bp.get("/dataset/draw/hist//") +@api_bp.output( + FileSchema(type="string", format="binary"), content_type="image/png", example="" +) +def get_dataset_hist(name: str, column: str): + data = service.get_hist(name, column) + data.seek(0) + return send_file(data, download_name=f"{name}.hist.png", mimetype="image/png") diff --git a/backend/service.py b/backend/service.py new file mode 100644 index 0000000..c4a3935 --- /dev/null +++ b/backend/service.py @@ -0,0 +1,59 @@ +import io +import os +import pathlib +from typing import BinaryIO, Dict, List + +import pandas as pd +from matplotlib.figure import Figure +from werkzeug.datastructures import FileStorage +from werkzeug.utils import secure_filename + + +class Service: + def __init__(self, dataset_path: str | None) -> None: + if dataset_path is None: + raise Exception("Dataset path is not defined") + self.__path: str = dataset_path + + def __get_dataset(self, filename: str) -> pd.DataFrame: + full_file_name = os.path.join(self.__path, secure_filename(filename)) + return pd.read_csv(full_file_name) + + def upload_dataset(self, file: FileStorage) -> str: + if file.filename is None: + raise Exception("Dataset upload error") + file_name: str = file.filename + full_file_name = os.path.join(self.__path, secure_filename(file_name)) + file.save(full_file_name) + return file_name + + def get_all_datasets(self) -> List[str]: + return [file.name for file in pathlib.Path(self.__path).glob("*.csv")] + + def get_dataset_info(self, filename) -> List[Dict]: + dataset = self.__get_dataset(filename) + dataset_info = [] + for column in dataset.columns: + items = dataset[column].astype(str) + column_info = { + "name": column, + "datatype": dataset.dtypes[column], + "items": items, + } + dataset_info.append(column_info) + return dataset_info + + def get_column_info(self, filename, column) -> Dict: + dataset = self.__get_dataset(filename) + datatype = dataset.dtypes[column] + items = sorted(dataset[column].astype(str).unique()) + return {"datatype": datatype, "items": items} + + def get_hist(self, filename, column) -> BinaryIO: + dataset = self.__get_dataset(filename) + bytes = io.BytesIO() + plot: Figure | None = dataset.plot.hist(column=[column], bins=80).get_figure() + if plot is None: + raise Exception("Can't create hist plot") + plot.savefig(bytes, dpi=300, format="png") + return bytes diff --git a/data/countries-continents-capitals.csv b/data/countries-continents-capitals.csv new file mode 100644 index 0000000..b90f340 --- /dev/null +++ b/data/countries-continents-capitals.csv @@ -0,0 +1,235 @@ +Country/Territory,Capital,Continent +Afghanistan,Kabul,Asia +Albania,Tirana,Europe +Algeria,Algiers,Africa +American Samoa,Pago Pago,Oceania +Andorra,Andorra la Vella,Europe +Angola,Luanda,Africa +Anguilla,The Valley,North America +Antigua and Barbuda,Saint Johnƒ??s,North America +Argentina,Buenos Aires,South America +Armenia,Yerevan,Asia +Aruba,Oranjestad,North America +Australia,Canberra,Oceania +Austria,Vienna,Europe +Azerbaijan,Baku,Asia +Bahamas,Nassau,North America +Bahrain,Manama,Asia +Bangladesh,Dhaka,Asia +Barbados,Bridgetown,North America +Belarus,Minsk,Europe +Belgium,Brussels,Europe +Belize,Belmopan,North America +Benin,Porto-Novo,Africa +Bermuda,Hamilton,North America +Bhutan,Thimphu,Asia +Bolivia,Sucre,South America +Bosnia and Herzegovina,Sarajevo,Europe +Botswana,Gaborone,Africa +Brazil,Brasilia,South America +British Virgin Islands,Road Town,North America +Brunei,Bandar Seri Begawan,Asia +Bulgaria,Sofia,Europe +Burkina Faso,Ouagadougou,Africa +Burundi,Bujumbura,Africa +Cambodia,Phnom Penh,Asia +Cameroon,Yaounde,Africa +Canada,Ottawa,North America +Cape Verde,Praia,Africa +Cayman Islands,George Town,North America +Central African Republic,Bangui,Africa +Chad,N'Djamena,Africa +Chile,Santiago,South America +China,Beijing,Asia +Colombia,Bogota,South America +Comoros,Moroni,Africa +Cook Islands,Avarua,Oceania +Costa Rica,San Jos??,North America +Croatia,Zagreb,Europe +Cuba,Havana,North America +Curacao,Willemstad,North America +Cyprus,Nicosia,Europe +Czech Republic,Prague,Europe +Denmark,Copenhagen,Europe +Djibouti,Djibouti,Africa +Dominica,Roseau,North America +Dominican Republic,Santo Domingo,North America +DR Congo,Kinshasa,Africa +Ecuador,Quito,South America +Egypt,Cairo,Africa +El Salvador,San Salvador,North America +Equatorial Guinea,Malabo,Africa +Eritrea,Asmara,Africa +Estonia,Tallinn,Europe +Eswatini,Mbabane,Africa +Ethiopia,Addis Ababa,Africa +Falkland Islands,Stanley,South America +Faroe Islands,T??rshavn,Europe +Fiji,Suva,Oceania +Finland,Helsinki,Europe +France,Paris,Europe +French Guiana,Cayenne,South America +French Polynesia,Papeete,Oceania +Gabon,Libreville,Africa +Gambia,Banjul,Africa +Georgia,Tbilisi,Asia +Germany,Berlin,Europe +Ghana,Accra,Africa +Gibraltar,Gibraltar,Europe +Greece,Athens,Europe +Greenland,Nuuk,North America +Grenada,Saint George's,North America +Guadeloupe,Basse-Terre,North America +Guam,Hag?t?ρa,Oceania +Guatemala,Guatemala City,North America +Guernsey,Saint Peter Port,Europe +Guinea,Conakry,Africa +Guinea-Bissau,Bissau,Africa +Guyana,Georgetown,South America +Haiti,Port-au-Prince,North America +Honduras,Tegucigalpa,North America +Hong Kong,Hong Kong,Asia +Hungary,Budapest,Europe +Iceland,Reykjav??k,Europe +India,New Delhi,Asia +Indonesia,Jakarta,Asia +Iran,Tehran,Asia +Iraq,Baghdad,Asia +Ireland,Dublin,Europe +Isle of Man,Douglas,Europe +Israel,Jerusalem,Asia +Italy,Rome,Europe +Ivory Coast,Yamoussoukro,Africa +Jamaica,Kingston,North America +Japan,Tokyo,Asia +Jersey,Saint Helier,Europe +Jordan,Amman,Asia +Kazakhstan,Nursultan,Asia +Kenya,Nairobi,Africa +Kiribati,Tarawa,Oceania +Kuwait,Kuwait City,Asia +Kyrgyzstan,Bishkek,Asia +Laos,Vientiane,Asia +Latvia,Riga,Europe +Lebanon,Beirut,Asia +Lesotho,Maseru,Africa +Liberia,Monrovia,Africa +Libya,Tripoli,Africa +Liechtenstein,Vaduz,Europe +Lithuania,Vilnius,Europe +Luxembourg,Luxembourg,Europe +Macau,Concelho de Macau,Asia +Madagascar,Antananarivo,Africa +Malawi,Lilongwe,Africa +Malaysia,Kuala Lumpur,Asia +Maldives,Mal??,Asia +Mali,Bamako,Africa +Malta,Valletta,Europe +Marshall Islands,Majuro,Oceania +Martinique,Fort-de-France,North America +Mauritania,Nouakchott,Africa +Mauritius,Port Louis,Africa +Mayotte,Mamoudzou,Africa +Mexico,Mexico City,North America +Micronesia,Palikir,Oceania +Moldova,Chisinau,Europe +Monaco,Monaco,Europe +Mongolia,Ulaanbaatar,Asia +Montenegro,Podgorica,Europe +Montserrat,Brades,North America +Morocco,Rabat,Africa +Mozambique,Maputo,Africa +Myanmar,Nay Pyi Taw,Asia +Namibia,Windhoek,Africa +Nauru,Yaren,Oceania +Nepal,Kathmandu,Asia +Netherlands,Amsterdam,Europe +New Caledonia,Noum??a,Oceania +New Zealand,Wellington,Oceania +Nicaragua,Managua,North America +Niger,Niamey,Africa +Nigeria,Abuja,Africa +Niue,Alofi,Oceania +North Korea,Pyongyang,Asia +North Macedonia,Skopje,Europe +Northern Mariana Islands,Saipan,Oceania +Norway,Oslo,Europe +Oman,Muscat,Asia +Pakistan,Islamabad,Asia +Palau,Ngerulmud,Oceania +Palestine,Ramallah,Asia +Panama,Panama City,North America +Papua New Guinea,Port Moresby,Oceania +Paraguay,Asunci??n,South America +Peru,Lima,South America +Philippines,Manila,Asia +Poland,Warsaw,Europe +Portugal,Lisbon,Europe +Puerto Rico,San Juan,North America +Qatar,Doha,Asia +Republic of the Congo,Brazzaville,Africa +Reunion,Saint-Denis,Africa +Romania,Bucharest,Europe +Russia,Moscow,Europe +Rwanda,Kigali,Africa +Saint Barthelemy,Gustavia,North America +Saint Kitts and Nevis,Basseterre,North America +Saint Lucia,Castries,North America +Saint Martin,Marigot,North America +Saint Pierre and Miquelon,Saint-Pierre,North America +Saint Vincent and the Grenadines,Kingstown,North America +Samoa,Apia,Oceania +San Marino,San Marino,Europe +Sao Tome and Principe,S?œo Tom??,Africa +Saudi Arabia,Riyadh,Asia +Senegal,Dakar,Africa +Serbia,Belgrade,Europe +Seychelles,Victoria,Africa +Sierra Leone,Freetown,Africa +Singapore,Singapore,Asia +Sint Maarten,Philipsburg,North America +Slovakia,Bratislava,Europe +Slovenia,Ljubljana,Europe +Solomon Islands,Honiara,Oceania +Somalia,Mogadishu,Africa +South Africa,Pretoria,Africa +South Korea,Seoul,Asia +South Sudan,Juba,Africa +Spain,Madrid,Europe +Sri Lanka,Colombo,Asia +Sudan,Khartoum,Africa +Suriname,Paramaribo,South America +Sweden,Stockholm,Europe +Switzerland,Bern,Europe +Syria,Damascus,Asia +Taiwan,Taipei,Asia +Tajikistan,Dushanbe,Asia +Tanzania,Dodoma,Africa +Thailand,Bangkok,Asia +Timor-Leste,Dili,Asia +Togo,Lom??,Africa +Tokelau,Nukunonu,Oceania +Tonga,Nukuƒ??alofa,Oceania +Trinidad and Tobago,Port-of-Spain,North America +Tunisia,Tunis,Africa +Turkey,Ankara,Asia +Turkmenistan,Ashgabat,Asia +Turks and Caicos Islands,Cockburn Town,North America +Tuvalu,Funafuti,Oceania +Uganda,Kampala,Africa +Ukraine,Kiev,Europe +United Arab Emirates,Abu Dhabi,Asia +United Kingdom,London,Europe +United States,"Washington, D.C.",North America +United States Virgin Islands,Charlotte Amalie,North America +Uruguay,Montevideo,South America +Uzbekistan,Tashkent,Asia +Vanuatu,Port-Vila,Oceania +Vatican City,Vatican City,Europe +Venezuela,Caracas,South America +Vietnam,Hanoi,Asia +Wallis and Futuna,Mata-Utu,Oceania +Western Sahara,El Aai?§n,Africa +Yemen,Sanaa,Asia +Zambia,Lusaka,Africa +Zimbabwe,Harare,Africa diff --git a/data/dollar.csv b/data/dollar.csv new file mode 100644 index 0000000..3f87c92 --- /dev/null +++ b/data/dollar.csv @@ -0,0 +1,244 @@ +"my_date","my_value","bullet","bulletClass","label" +"28.03.2023","76.5662","","","" +"31.03.2023","77.0863","","","" +"01.04.2023","77.3233","","","" +"04.04.2023","77.9510","","","" +"05.04.2023","79.3563","","","" +"06.04.2023","79.4961","","","" +"07.04.2023","80.6713","","","" +"08.04.2023","82.3988","","","" +"11.04.2023","81.7441","","","" +"12.04.2023","82.1799","","","" +"13.04.2023","82.0934","","","" +"14.04.2023","81.6758","","","" +"15.04.2023","81.5045","","","" +"18.04.2023","81.6279","","","" +"19.04.2023","81.6028","","","" +"20.04.2023","81.6549","","","" +"21.04.2023","81.6188","","","" +"22.04.2023","81.4863","","","" +"25.04.2023","81.2745","","","" +"26.04.2023","81.5499","","","" +"27.04.2023","81.6274","","","" +"28.04.2023","81.5601","","","" +"29.04.2023","80.5093","","","" +"03.05.2023","79.9609","","","" +"04.05.2023","79.3071","","","" +"05.05.2023","78.6139","","","" +"06.05.2023","76.8207","","","" +"11.05.2023","76.6929","","","" +"12.05.2023","75.8846","round","min-pulsating-bullet","ΠΌΠΈΠ½" +"13.05.2023","77.2041","","","" +"16.05.2023","79.1004","","","" +"17.05.2023","79.9798","","","" +"18.05.2023","80.7642","","","" +"19.05.2023","80.0366","","","" +"20.05.2023","79.9093","","","" +"23.05.2023","79.9379","","","" +"24.05.2023","80.1665","","","" +"25.05.2023","79.9669","","","" +"26.05.2023","79.9841","","","" +"27.05.2023","79.9667","","","" +"30.05.2023","80.0555","","","" +"31.05.2023","80.6872","","","" +"01.06.2023","80.9942","","","" +"02.06.2023","80.9657","","","" +"03.06.2023","80.8756","","","" +"06.06.2023","81.3294","","","" +"07.06.2023","81.2502","","","" +"08.06.2023","81.4581","","","" +"09.06.2023","82.0930","","","" +"10.06.2023","82.6417","","","" +"14.06.2023","83.6405","","","" +"15.06.2023","84.3249","","","" +"16.06.2023","83.9611","","","" +"17.06.2023","83.6498","","","" +"20.06.2023","83.9866","","","" +"21.06.2023","84.2336","","","" +"22.06.2023","84.2467","","","" +"23.06.2023","83.6077","","","" +"24.06.2023","84.0793","","","" +"27.06.2023","84.6642","","","" +"28.06.2023","85.0504","","","" +"29.06.2023","85.6192","","","" +"30.06.2023","87.0341","","","" +"01.07.2023","88.3844","","","" +"04.07.2023","89.3255","","","" +"05.07.2023","89.5450","","","" +"06.07.2023","90.3380","","","" +"07.07.2023","92.5695","","","" +"08.07.2023","91.6879","","","" +"11.07.2023","91.4931","","","" +"12.07.2023","90.5045","","","" +"13.07.2023","90.6253","","","" +"14.07.2023","90.1757","","","" +"15.07.2023","90.1190","","","" +"18.07.2023","90.4217","","","" +"19.07.2023","90.6906","","","" +"20.07.2023","91.2046","","","" +"21.07.2023","90.8545","","","" +"22.07.2023","90.3846","","","" +"25.07.2023","90.4890","","","" +"26.07.2023","90.0945","","","" +"27.07.2023","90.0468","","","" +"28.07.2023","90.0225","","","" +"29.07.2023","90.9783","","","" +"01.08.2023","91.5923","","","" +"02.08.2023","91.7755","","","" +"03.08.2023","92.8410","","","" +"04.08.2023","93.7792","","","" +"05.08.2023","94.8076","","","" +"08.08.2023","96.5668","","","" +"09.08.2023","96.0755","","","" +"10.08.2023","97.3999","","","" +"11.08.2023","97.2794","","","" +"12.08.2023","98.2066","","","" +"15.08.2023","101.0399","","","" +"16.08.2023","97.4217","","","" +"17.08.2023","96.7045","","","" +"18.08.2023","93.7460","","","" +"19.08.2023","93.4047","","","" +"22.08.2023","94.1424","","","" +"23.08.2023","94.1185","","","" +"24.08.2023","94.4421","","","" +"25.08.2023","94.4007","","","" +"26.08.2023","94.7117","","","" +"29.08.2023","95.4717","","","" +"30.08.2023","95.7070","","","" +"31.08.2023","95.9283","","","" +"01.09.2023","96.3344","","","" +"02.09.2023","96.3411","","","" +"05.09.2023","96.6199","","","" +"06.09.2023","97.5383","","","" +"07.09.2023","97.8439","","","" +"08.09.2023","98.1961","","","" +"09.09.2023","97.9241","","","" +"12.09.2023","96.5083","","","" +"13.09.2023","94.7035","","","" +"14.09.2023","95.9794","","","" +"15.09.2023","96.1609","","","" +"16.09.2023","96.6338","","","" +"19.09.2023","96.6472","","","" +"20.09.2023","96.2236","","","" +"21.09.2023","96.6172","","","" +"22.09.2023","96.0762","","","" +"23.09.2023","96.0419","","","" +"26.09.2023","96.1456","","","" +"27.09.2023","96.2378","","","" +"28.09.2023","96.5000","","","" +"29.09.2023","97.0018","","","" +"30.09.2023","97.4147","","","" +"03.10.2023","98.4785","","","" +"04.10.2023","99.2677","","","" +"05.10.2023","99.4555","","","" +"06.10.2023","99.6762","","","" +"07.10.2023","100.4911","","","" +"10.10.2023","101.3598","round","max-pulsating-bullet","макс" +"11.10.2023","99.9349","","","" +"12.10.2023","99.9808","","","" +"13.10.2023","96.9948","","","" +"14.10.2023","97.3075","","","" +"17.10.2023","97.2865","","","" +"18.10.2023","97.3458","","","" +"19.10.2023","97.3724","","","" +"20.10.2023","97.3074","","","" +"21.10.2023","95.9053","","","" +"24.10.2023","94.7081","","","" +"25.10.2023","93.5224","","","" +"26.10.2023","93.1507","","","" +"27.10.2023","93.5616","","","" +"28.10.2023","93.2174","","","" +"31.10.2023","93.2435","","","" +"01.11.2023","92.0226","","","" +"02.11.2023","93.2801","","","" +"03.11.2023","93.1730","","","" +"04.11.2023","93.0351","","","" +"08.11.2023","92.4151","","","" +"09.11.2023","92.1973","","","" +"10.11.2023","91.9266","","","" +"11.11.2023","92.0535","","","" +"14.11.2023","92.1185","","","" +"15.11.2023","91.2570","","","" +"16.11.2023","89.4565","","","" +"17.11.2023","88.9466","","","" +"18.11.2023","89.1237","","","" +"21.11.2023","88.4954","","","" +"22.11.2023","87.8701","","","" +"23.11.2023","88.1648","","","" +"24.11.2023","88.1206","","","" +"25.11.2023","88.8133","","","" +"28.11.2023","88.7045","","","" +"29.11.2023","88.6102","","","" +"30.11.2023","88.8841","","","" +"01.12.2023","88.5819","","","" +"02.12.2023","89.7619","","","" +"05.12.2023","90.6728","","","" +"06.12.2023","91.5823","","","" +"07.12.2023","92.7826","","","" +"08.12.2023","92.5654","","","" +"09.12.2023","91.6402","","","" +"12.12.2023","90.9846","","","" +"13.12.2023","90.2158","","","" +"14.12.2023","89.8926","","","" +"15.12.2023","89.6741","","","" +"16.12.2023","89.6966","","","" +"19.12.2023","90.4162","","","" +"20.12.2023","90.0870","","","" +"21.12.2023","90.4056","","","" +"22.12.2023","91.7062","","","" +"23.12.2023","91.9389","","","" +"26.12.2023","91.9690","","","" +"27.12.2023","91.7069","","","" +"28.12.2023","91.7051","","","" +"29.12.2023","90.3041","","","" +"30.12.2023","89.6883","","","" +"10.01.2024","90.4040","","","" +"11.01.2024","89.3939","","","" +"12.01.2024","88.7818","","","" +"13.01.2024","88.1324","","","" +"16.01.2024","87.6772","","","" +"17.01.2024","87.6457","","","" +"18.01.2024","88.3540","","","" +"19.01.2024","88.6610","","","" +"20.01.2024","88.5896","","","" +"23.01.2024","87.9724","","","" +"24.01.2024","87.9199","","","" +"25.01.2024","88.2829","","","" +"26.01.2024","88.6562","","","" +"27.01.2024","89.5159","","","" +"30.01.2024","89.6090","","","" +"31.01.2024","89.2887","","","" +"01.02.2024","89.6678","","","" +"02.02.2024","90.2299","","","" +"03.02.2024","90.6626","","","" +"06.02.2024","91.2434","","","" +"07.02.2024","90.6842","","","" +"08.02.2024","91.1514","","","" +"09.02.2024","91.2561","","","" +"10.02.2024","90.8901","","","" +"13.02.2024","91.0758","","","" +"14.02.2024","91.2057","","","" +"15.02.2024","91.4316","","","" +"16.02.2024","91.8237","","","" +"17.02.2024","92.5492","","","" +"20.02.2024","92.4102","","","" +"21.02.2024","92.3490","","","" +"22.02.2024","92.4387","","","" +"23.02.2024","92.7519","","","" +"27.02.2024","92.6321","","","" +"28.02.2024","92.0425","","","" +"29.02.2024","91.8692","","","" +"01.03.2024","90.8423","","","" +"02.03.2024","91.3336","","","" +"05.03.2024","91.3534","","","" +"06.03.2024","91.1604","","","" +"07.03.2024","90.3412","","","" +"08.03.2024","90.7493","","","" +"12.03.2024","90.6252","","","" +"13.03.2024","90.8818","","","" +"19.03.2024","91.9829","","","" +"20.03.2024","92.2243","","","" +"21.03.2024","92.6861","","","" +"22.03.2024","91.9499","","","" +"23.03.2024","92.6118","","","" +"26.03.2024","92.7761","","","" diff --git a/data/titanic.csv b/data/titanic.csv new file mode 100644 index 0000000..5cc466e --- /dev/null +++ b/data/titanic.csv @@ -0,0 +1,892 @@ +PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S +2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C +3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S +4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S +5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S +6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q +7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S +8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S +9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S +10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C +11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S +12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S +13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S +14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S +15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S +16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S +17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q +18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S +19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S +20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C +21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S +22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S +23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q +24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S +25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S +26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S +27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C +28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S +29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q +30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S +31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C +32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C +33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q +34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S +35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C +36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S +37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C +38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S +39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S +40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C +41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S +42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S +43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C +44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C +45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q +46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S +47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q +48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q +49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C +50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S +51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S +52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S +53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C +54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S +55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C +56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S +57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S +58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C +59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S +60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S +61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C +62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28, +63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S +64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S +65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C +66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C +67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S +68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S +69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S +70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S +71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S +72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S +73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S +74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C +75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S +76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S +77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S +78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S +79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S +80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S +81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S +82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S +83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q +84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S +85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S +86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S +87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S +88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S +89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S +90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S +91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S +92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S +93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S +94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S +95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S +96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S +97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C +98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C +99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S +100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S +101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S +102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S +103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S +104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S +105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S +106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S +107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S +108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S +109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S +110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q +111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S +112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C +113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S +114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S +115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C +116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S +117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q +118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S +119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C +120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S +121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S +122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S +123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C +124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S +125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S +126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C +127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q +128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S +129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C +130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S +131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C +132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S +133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S +134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S +135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S +136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C +137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S +138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S +139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S +140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C +141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C +142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S +143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S +144,0,3,"Burke, Mr. Jeremiah",male,19,0,0,365222,6.75,,Q +145,0,2,"Andrew, Mr. Edgardo Samuel",male,18,0,0,231945,11.5,,S +146,0,2,"Nicholls, Mr. Joseph Charles",male,19,1,1,C.A. 33112,36.75,,S +147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27,0,0,350043,7.7958,,S +148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S +149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S +150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42,0,0,244310,13,,S +151,0,2,"Bateman, Rev. Robert James",male,51,0,0,S.O.P. 1166,12.525,,S +152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22,1,0,113776,66.6,C2,S +153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S +154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S +155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S +156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C +157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16,0,0,35851,7.7333,,Q +158,0,3,"Corn, Mr. Harry",male,30,0,0,SOTON/OQ 392090,8.05,,S +159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S +160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S +161,0,3,"Cribb, Mr. John Hatfield",male,44,0,1,371362,16.1,,S +162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40,0,0,C.A. 33595,15.75,,S +163,0,3,"Bengtsson, Mr. John Viktor",male,26,0,0,347068,7.775,,S +164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S +165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S +166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9,0,2,363291,20.525,,S +167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55,E33,S +168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45,1,4,347088,27.9,,S +169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S +170,0,3,"Ling, Mr. Lee",male,28,0,0,1601,56.4958,,S +171,0,1,"Van der hoef, Mr. Wyckoff",male,61,0,0,111240,33.5,B19,S +172,0,3,"Rice, Master. Arthur",male,4,4,1,382652,29.125,,Q +173,1,3,"Johnson, Miss. Eleanor Ileen",female,1,1,1,347742,11.1333,,S +174,0,3,"Sivola, Mr. Antti Wilhelm",male,21,0,0,STON/O 2. 3101280,7.925,,S +175,0,1,"Smith, Mr. James Clinch",male,56,0,0,17764,30.6958,A7,C +176,0,3,"Klasen, Mr. Klas Albin",male,18,1,1,350404,7.8542,,S +177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S +178,0,1,"Isham, Miss. Ann Elizabeth",female,50,0,0,PC 17595,28.7125,C49,C +179,0,2,"Hale, Mr. Reginald",male,30,0,0,250653,13,,S +180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S +181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S +182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C +183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9,4,2,347077,31.3875,,S +184,1,2,"Becker, Master. Richard F",male,1,2,1,230136,39,F4,S +185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4,0,2,315153,22.025,,S +186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50,A32,S +187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q +188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S +189,0,3,"Bourke, Mr. John",male,40,1,1,364849,15.5,,Q +190,0,3,"Turcin, Mr. Stjepan",male,36,0,0,349247,7.8958,,S +191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S +192,0,2,"Carbines, Mr. William",male,19,0,0,28424,13,,S +193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19,1,0,350046,7.8542,,S +194,1,2,"Navratil, Master. Michel M",male,3,1,1,230080,26,F2,S +195,1,1,"Brown, Mrs. James Joseph (Margaret Tobin)",female,44,0,0,PC 17610,27.7208,B4,C +196,1,1,"Lurette, Miss. Elise",female,58,0,0,PC 17569,146.5208,B80,C +197,0,3,"Mernagh, Mr. Robert",male,,0,0,368703,7.75,,Q +198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42,0,1,4579,8.4042,,S +199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q +200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24,0,0,248747,13,,S +201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28,0,0,345770,9.5,,S +202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S +203,0,3,"Johanson, Mr. Jakob Alfred",male,34,0,0,3101264,6.4958,,S +204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C +205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18,0,0,A/5 3540,8.05,,S +206,0,3,"Strom, Miss. Telma Matilda",female,2,0,1,347054,10.4625,G6,S +207,0,3,"Backstrom, Mr. Karl Alfred",male,32,1,0,3101278,15.85,,S +208,1,3,"Albimona, Mr. Nassef Cassem",male,26,0,0,2699,18.7875,,C +209,1,3,"Carr, Miss. Helen ""Ellen""",female,16,0,0,367231,7.75,,Q +210,1,1,"Blank, Mr. Henry",male,40,0,0,112277,31,A31,C +211,0,3,"Ali, Mr. Ahmed",male,24,0,0,SOTON/O.Q. 3101311,7.05,,S +212,1,2,"Cameron, Miss. Clear Annie",female,35,0,0,F.C.C. 13528,21,,S +213,0,3,"Perkin, Mr. John Henry",male,22,0,0,A/5 21174,7.25,,S +214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S +215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q +216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C +217,1,3,"Honkanen, Miss. Eliina",female,27,0,0,STON/O2. 3101283,7.925,,S +218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42,1,0,243847,27,,S +219,1,1,"Bazzani, Miss. Albina",female,32,0,0,11813,76.2917,D15,C +220,0,2,"Harris, Mr. Walter",male,30,0,0,W/C 14208,10.5,,S +221,1,3,"Sunderland, Mr. Victor Francis",male,16,0,0,SOTON/OQ 392089,8.05,,S +222,0,2,"Bracken, Mr. James H",male,27,0,0,220367,13,,S +223,0,3,"Green, Mr. George Henry",male,51,0,0,21440,8.05,,S +224,0,3,"Nenkoff, Mr. Christo",male,,0,0,349234,7.8958,,S +225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38,1,0,19943,90,C93,S +226,0,3,"Berglund, Mr. Karl Ivar Sven",male,22,0,0,PP 4348,9.35,,S +227,1,2,"Mellors, Mr. William John",male,19,0,0,SW/PP 751,10.5,,S +228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S +229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18,0,0,236171,13,,S +230,0,3,"Lefebre, Miss. Mathilde",female,,3,1,4133,25.4667,,S +231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35,1,0,36973,83.475,C83,S +232,0,3,"Larsson, Mr. Bengt Edvin",male,29,0,0,347067,7.775,,S +233,0,2,"Sjostedt, Mr. Ernst Adolf",male,59,0,0,237442,13.5,,S +234,1,3,"Asplund, Miss. Lillian Gertrud",female,5,4,2,347077,31.3875,,S +235,0,2,"Leyson, Mr. Robert William Norman",male,24,0,0,C.A. 29566,10.5,,S +236,0,3,"Harknett, Miss. Alice Phoebe",female,,0,0,W./C. 6609,7.55,,S +237,0,2,"Hold, Mr. Stephen",male,44,1,0,26707,26,,S +238,1,2,"Collyer, Miss. Marjorie ""Lottie""",female,8,0,2,C.A. 31921,26.25,,S +239,0,2,"Pengelly, Mr. Frederick William",male,19,0,0,28665,10.5,,S +240,0,2,"Hunt, Mr. George Henry",male,33,0,0,SCO/W 1585,12.275,,S +241,0,3,"Zabour, Miss. Thamine",female,,1,0,2665,14.4542,,C +242,1,3,"Murphy, Miss. Katherine ""Kate""",female,,1,0,367230,15.5,,Q +243,0,2,"Coleridge, Mr. Reginald Charles",male,29,0,0,W./C. 14263,10.5,,S +244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22,0,0,STON/O 2. 3101275,7.125,,S +245,0,3,"Attalah, Mr. Sleiman",male,30,0,0,2694,7.225,,C +246,0,1,"Minahan, Dr. William Edward",male,44,2,0,19928,90,C78,Q +247,0,3,"Lindahl, Miss. Agda Thorilda Viktoria",female,25,0,0,347071,7.775,,S +248,1,2,"Hamalainen, Mrs. William (Anna)",female,24,0,2,250649,14.5,,S +249,1,1,"Beckwith, Mr. Richard Leonard",male,37,1,1,11751,52.5542,D35,S +250,0,2,"Carter, Rev. Ernest Courtenay",male,54,1,0,244252,26,,S +251,0,3,"Reed, Mr. James George",male,,0,0,362316,7.25,,S +252,0,3,"Strom, Mrs. Wilhelm (Elna Matilda Persson)",female,29,1,1,347054,10.4625,G6,S +253,0,1,"Stead, Mr. William Thomas",male,62,0,0,113514,26.55,C87,S +254,0,3,"Lobb, Mr. William Arthur",male,30,1,0,A/5. 3336,16.1,,S +255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41,0,2,370129,20.2125,,S +256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29,0,2,2650,15.2458,,C +257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C +258,1,1,"Cherry, Miss. Gladys",female,30,0,0,110152,86.5,B77,S +259,1,1,"Ward, Miss. Anna",female,35,0,0,PC 17755,512.3292,,C +260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50,0,1,230433,26,,S +261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q +262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3,4,2,347077,31.3875,,S +263,0,1,"Taussig, Mr. Emil",male,52,1,1,110413,79.65,E67,S +264,0,1,"Harrison, Mr. William",male,40,0,0,112059,0,B94,S +265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q +266,0,2,"Reeves, Mr. David",male,36,0,0,C.A. 17248,10.5,,S +267,0,3,"Panula, Mr. Ernesti Arvid",male,16,4,1,3101295,39.6875,,S +268,1,3,"Persson, Mr. Ernst Ulrik",male,25,1,0,347083,7.775,,S +269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58,0,1,PC 17582,153.4625,C125,S +270,1,1,"Bissette, Miss. Amelia",female,35,0,0,PC 17760,135.6333,C99,S +271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31,,S +272,1,3,"Tornquist, Mr. William Henry",male,25,0,0,LINE,0,,S +273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41,0,1,250644,19.5,,S +274,0,1,"Natsch, Mr. Charles H",male,37,0,1,PC 17596,29.7,C118,C +275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q +276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63,1,0,13502,77.9583,D7,S +277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45,0,0,347073,7.75,,S +278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0,,S +279,0,3,"Rice, Master. Eric",male,7,4,1,382652,29.125,,Q +280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35,1,1,C.A. 2673,20.25,,S +281,0,3,"Duane, Mr. Frank",male,65,0,0,336439,7.75,,Q +282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28,0,0,347464,7.8542,,S +283,0,3,"de Pelsmaeker, Mr. Alfons",male,16,0,0,345778,9.5,,S +284,1,3,"Dorking, Mr. Edward Arthur",male,19,0,0,A/5. 10482,8.05,,S +285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26,A19,S +286,0,3,"Stankovic, Mr. Ivan",male,33,0,0,349239,8.6625,,C +287,1,3,"de Mulder, Mr. Theodore",male,30,0,0,345774,9.5,,S +288,0,3,"Naidenoff, Mr. Penko",male,22,0,0,349206,7.8958,,S +289,1,2,"Hosono, Mr. Masabumi",male,42,0,0,237798,13,,S +290,1,3,"Connolly, Miss. Kate",female,22,0,0,370373,7.75,,Q +291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26,0,0,19877,78.85,,S +292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19,1,0,11967,91.0792,B49,C +293,0,2,"Levy, Mr. Rene Jacques",male,36,0,0,SC/Paris 2163,12.875,D,C +294,0,3,"Haas, Miss. Aloisia",female,24,0,0,349236,8.85,,S +295,0,3,"Mineff, Mr. Ivan",male,24,0,0,349233,7.8958,,S +296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C +297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C +298,0,1,"Allison, Miss. Helen Loraine",female,2,1,2,113781,151.55,C22 C26,S +299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S +300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50,0,1,PC 17558,247.5208,B58 B60,C +301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q +302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q +303,0,3,"Johnson, Mr. William Cahoone Jr",male,19,0,0,LINE,0,,S +304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q +305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S +306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S +307,1,1,"Fleming, Miss. Margaret",female,,0,0,17421,110.8833,,C +308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17,1,0,PC 17758,108.9,C65,C +309,0,2,"Abelson, Mr. Samuel",male,30,1,0,P/PP 3381,24,,C +310,1,1,"Francatelli, Miss. Laura Mabel",female,30,0,0,PC 17485,56.9292,E36,C +311,1,1,"Hays, Miss. Margaret Bechstein",female,24,0,0,11767,83.1583,C54,C +312,1,1,"Ryerson, Miss. Emily Borie",female,18,2,2,PC 17608,262.375,B57 B59 B63 B66,C +313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26,1,1,250651,26,,S +314,0,3,"Hendekovic, Mr. Ignjac",male,28,0,0,349243,7.8958,,S +315,0,2,"Hart, Mr. Benjamin",male,43,1,1,F.C.C. 13529,26.25,,S +316,1,3,"Nilsson, Miss. Helmina Josefina",female,26,0,0,347470,7.8542,,S +317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24,1,0,244367,26,,S +318,0,2,"Moraweck, Dr. Ernest",male,54,0,0,29011,14,,S +319,1,1,"Wick, Miss. Mary Natalie",female,31,0,2,36928,164.8667,C7,S +320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40,1,1,16966,134.5,E34,C +321,0,3,"Dennis, Mr. Samuel",male,22,0,0,A/5 21172,7.25,,S +322,0,3,"Danoff, Mr. Yoto",male,27,0,0,349219,7.8958,,S +323,1,2,"Slayter, Miss. Hilda Mary",female,30,0,0,234818,12.35,,Q +324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22,1,1,248738,29,,S +325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S +326,1,1,"Young, Miss. Marie Grice",female,36,0,0,PC 17760,135.6333,C32,C +327,0,3,"Nysveen, Mr. Johan Hansen",male,61,0,0,345364,6.2375,,S +328,1,2,"Ball, Mrs. (Ada E Hall)",female,36,0,0,28551,13,D,S +329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31,1,1,363291,20.525,,S +330,1,1,"Hippach, Miss. Jean Gertrude",female,16,0,1,111361,57.9792,B18,C +331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q +332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S +333,0,1,"Graham, Mr. George Edward",male,38,0,1,PC 17582,153.4625,C91,S +334,0,3,"Vander Planke, Mr. Leo Edmondus",male,16,2,0,345764,18,,S +335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S +336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S +337,0,1,"Pears, Mr. Thomas Clinton",male,29,1,0,113776,66.6,C2,S +338,1,1,"Burns, Miss. Elizabeth Margaret",female,41,0,0,16966,134.5,E40,C +339,1,3,"Dahl, Mr. Karl Edwart",male,45,0,0,7598,8.05,,S +340,0,1,"Blackwell, Mr. Stephen Weart",male,45,0,0,113784,35.5,T,S +341,1,2,"Navratil, Master. Edmond Roger",male,2,1,1,230080,26,F2,S +342,1,1,"Fortune, Miss. Alice Elizabeth",female,24,3,2,19950,263,C23 C25 C27,S +343,0,2,"Collander, Mr. Erik Gustaf",male,28,0,0,248740,13,,S +344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25,0,0,244361,13,,S +345,0,2,"Fox, Mr. Stanley Hubert",male,36,0,0,229236,13,,S +346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24,0,0,248733,13,F33,S +347,1,2,"Smith, Miss. Marion Elsie",female,40,0,0,31418,13,,S +348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S +349,1,3,"Coutts, Master. William Loch ""William""",male,3,1,1,C.A. 37671,15.9,,S +350,0,3,"Dimic, Mr. Jovan",male,42,0,0,315088,8.6625,,S +351,0,3,"Odahl, Mr. Nils Martin",male,23,0,0,7267,9.225,,S +352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35,C128,S +353,0,3,"Elias, Mr. Tannous",male,15,1,1,2695,7.2292,,C +354,0,3,"Arnold-Franchi, Mr. Josef",male,25,1,0,349237,17.8,,S +355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C +356,0,3,"Vanden Steen, Mr. Leo Peter",male,28,0,0,345783,9.5,,S +357,1,1,"Bowerman, Miss. Elsie Edith",female,22,0,1,113505,55,E33,S +358,0,2,"Funk, Miss. Annie Clemmer",female,38,0,0,237671,13,,S +359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q +360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q +361,0,3,"Skoog, Mr. Wilhelm",male,40,1,4,347088,27.9,,S +362,0,2,"del Carlo, Mr. Sebastiano",male,29,1,0,SC/PARIS 2167,27.7208,,C +363,0,3,"Barbara, Mrs. (Catherine David)",female,45,0,1,2691,14.4542,,C +364,0,3,"Asim, Mr. Adola",male,35,0,0,SOTON/O.Q. 3101310,7.05,,S +365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q +366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30,0,0,C 7076,7.25,,S +367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60,1,0,110813,75.25,D37,C +368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C +369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q +370,1,1,"Aubart, Mme. Leontine Pauline",female,24,0,0,PC 17477,69.3,B35,C +371,1,1,"Harder, Mr. George Achilles",male,25,1,0,11765,55.4417,E50,C +372,0,3,"Wiklund, Mr. Jakob Alfred",male,18,1,0,3101267,6.4958,,S +373,0,3,"Beavan, Mr. William Thomas",male,19,0,0,323951,8.05,,S +374,0,1,"Ringhini, Mr. Sante",male,22,0,0,PC 17760,135.6333,,C +375,0,3,"Palsson, Miss. Stina Viola",female,3,3,1,349909,21.075,,S +376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C +377,1,3,"Landergren, Miss. Aurora Adelia",female,22,0,0,C 7077,7.25,,S +378,0,1,"Widener, Mr. Harry Elkins",male,27,0,2,113503,211.5,C82,C +379,0,3,"Betros, Mr. Tannous",male,20,0,0,2648,4.0125,,C +380,0,3,"Gustafsson, Mr. Karl Gideon",male,19,0,0,347069,7.775,,S +381,1,1,"Bidois, Miss. Rosalie",female,42,0,0,PC 17757,227.525,,C +382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1,0,2,2653,15.7417,,C +383,0,3,"Tikkanen, Mr. Juho",male,32,0,0,STON/O 2. 3101293,7.925,,S +384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35,1,0,113789,52,,S +385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S +386,0,2,"Davies, Mr. Charles Henry",male,18,0,0,S.O.C. 14879,73.5,,S +387,0,3,"Goodwin, Master. Sidney Leonard",male,1,5,2,CA 2144,46.9,,S +388,1,2,"Buss, Miss. Kate",female,36,0,0,27849,13,,S +389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q +390,1,2,"Lehmann, Miss. Bertha",female,17,0,0,SC 1748,12,,C +391,1,1,"Carter, Mr. William Ernest",male,36,1,2,113760,120,B96 B98,S +392,1,3,"Jansson, Mr. Carl Olof",male,21,0,0,350034,7.7958,,S +393,0,3,"Gustafsson, Mr. Johan Birger",male,28,2,0,3101277,7.925,,S +394,1,1,"Newell, Miss. Marjorie",female,23,1,0,35273,113.275,D36,C +395,1,3,"Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)",female,24,0,2,PP 9549,16.7,G6,S +396,0,3,"Johansson, Mr. Erik",male,22,0,0,350052,7.7958,,S +397,0,3,"Olsson, Miss. Elina",female,31,0,0,350407,7.8542,,S +398,0,2,"McKane, Mr. Peter David",male,46,0,0,28403,26,,S +399,0,2,"Pain, Dr. Alfred",male,23,0,0,244278,10.5,,S +400,1,2,"Trout, Mrs. William H (Jessie L)",female,28,0,0,240929,12.65,,S +401,1,3,"Niskanen, Mr. Juha",male,39,0,0,STON/O 2. 3101289,7.925,,S +402,0,3,"Adams, Mr. John",male,26,0,0,341826,8.05,,S +403,0,3,"Jussila, Miss. Mari Aina",female,21,1,0,4137,9.825,,S +404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28,1,0,STON/O2. 3101279,15.85,,S +405,0,3,"Oreskovic, Miss. Marija",female,20,0,0,315096,8.6625,,S +406,0,2,"Gale, Mr. Shadrach",male,34,1,0,28664,21,,S +407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51,0,0,347064,7.75,,S +408,1,2,"Richards, Master. William Rowe",male,3,1,1,29106,18.75,,S +409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21,0,0,312992,7.775,,S +410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S +411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S +412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q +413,1,1,"Minahan, Miss. Daisy E",female,33,1,0,19928,90,C78,Q +414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0,,S +415,1,3,"Sundman, Mr. Johan Julian",male,44,0,0,STON/O 2. 3101269,7.925,,S +416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S +417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34,1,1,28220,32.5,,S +418,1,2,"Silven, Miss. Lyyli Karoliina",female,18,0,2,250652,13,,S +419,0,2,"Matthews, Mr. William John",male,30,0,0,28228,13,,S +420,0,3,"Van Impe, Miss. Catharina",female,10,0,2,345773,24.15,,S +421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C +422,0,3,"Charters, Mr. David",male,21,0,0,A/5. 13032,7.7333,,Q +423,0,3,"Zimmerman, Mr. Leo",male,29,0,0,315082,7.875,,S +424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28,1,1,347080,14.4,,S +425,0,3,"Rosblom, Mr. Viktor Richard",male,18,1,1,370129,20.2125,,S +426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S +427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28,1,0,2003,26,,S +428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19,0,0,250655,26,,S +429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q +430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32,0,0,SOTON/O.Q. 392078,8.05,E10,S +431,1,1,"Bjornstrom-Steffansson, Mr. Mauritz Hakan",male,28,0,0,110564,26.55,C52,S +432,1,3,"Thorneycroft, Mrs. Percival (Florence Kate White)",female,,1,0,376564,16.1,,S +433,1,2,"Louch, Mrs. Charles Alexander (Alice Adelaide Slow)",female,42,1,0,SC/AH 3085,26,,S +434,0,3,"Kallio, Mr. Nikolai Erland",male,17,0,0,STON/O 2. 3101274,7.125,,S +435,0,1,"Silvey, Mr. William Baird",male,50,1,0,13507,55.9,E44,S +436,1,1,"Carter, Miss. Lucile Polk",female,14,1,2,113760,120,B96 B98,S +437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21,2,2,W./C. 6608,34.375,,S +438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24,2,3,29106,18.75,,S +439,0,1,"Fortune, Mr. Mark",male,64,1,4,19950,263,C23 C25 C27,S +440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31,0,0,C.A. 18723,10.5,,S +441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45,1,1,F.C.C. 13529,26.25,,S +442,0,3,"Hampe, Mr. Leon",male,20,0,0,345769,9.5,,S +443,0,3,"Petterson, Mr. Johan Emil",male,25,1,0,347076,7.775,,S +444,1,2,"Reynaldo, Ms. Encarnacion",female,28,0,0,230434,13,,S +445,1,3,"Johannesen-Bratthammer, Mr. Bernt",male,,0,0,65306,8.1125,,S +446,1,1,"Dodge, Master. Washington",male,4,0,2,33638,81.8583,A34,S +447,1,2,"Mellinger, Miss. Madeleine Violet",female,13,0,1,250644,19.5,,S +448,1,1,"Seward, Mr. Frederic Kimber",male,34,0,0,113794,26.55,,S +449,1,3,"Baclini, Miss. Marie Catherine",female,5,2,1,2666,19.2583,,C +450,1,1,"Peuchen, Major. Arthur Godfrey",male,52,0,0,113786,30.5,C104,S +451,0,2,"West, Mr. Edwy Arthur",male,36,1,2,C.A. 34651,27.75,,S +452,0,3,"Hagland, Mr. Ingvald Olai Olsen",male,,1,0,65303,19.9667,,S +453,0,1,"Foreman, Mr. Benjamin Laventall",male,30,0,0,113051,27.75,C111,C +454,1,1,"Goldenberg, Mr. Samuel L",male,49,1,0,17453,89.1042,C92,C +455,0,3,"Peduzzi, Mr. Joseph",male,,0,0,A/5 2817,8.05,,S +456,1,3,"Jalsevac, Mr. Ivan",male,29,0,0,349240,7.8958,,C +457,0,1,"Millet, Mr. Francis Davis",male,65,0,0,13509,26.55,E38,S +458,1,1,"Kenyon, Mrs. Frederick R (Marion)",female,,1,0,17464,51.8625,D21,S +459,1,2,"Toomey, Miss. Ellen",female,50,0,0,F.C.C. 13531,10.5,,S +460,0,3,"O'Connor, Mr. Maurice",male,,0,0,371060,7.75,,Q +461,1,1,"Anderson, Mr. Harry",male,48,0,0,19952,26.55,E12,S +462,0,3,"Morley, Mr. William",male,34,0,0,364506,8.05,,S +463,0,1,"Gee, Mr. Arthur H",male,47,0,0,111320,38.5,E63,S +464,0,2,"Milling, Mr. Jacob Christian",male,48,0,0,234360,13,,S +465,0,3,"Maisner, Mr. Simon",male,,0,0,A/S 2816,8.05,,S +466,0,3,"Goncalves, Mr. Manuel Estanslas",male,38,0,0,SOTON/O.Q. 3101306,7.05,,S +467,0,2,"Campbell, Mr. William",male,,0,0,239853,0,,S +468,0,1,"Smart, Mr. John Montgomery",male,56,0,0,113792,26.55,,S +469,0,3,"Scanlan, Mr. James",male,,0,0,36209,7.725,,Q +470,1,3,"Baclini, Miss. Helene Barbara",female,0.75,2,1,2666,19.2583,,C +471,0,3,"Keefe, Mr. Arthur",male,,0,0,323592,7.25,,S +472,0,3,"Cacic, Mr. Luka",male,38,0,0,315089,8.6625,,S +473,1,2,"West, Mrs. Edwy Arthur (Ada Mary Worth)",female,33,1,2,C.A. 34651,27.75,,S +474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23,0,0,SC/AH Basle 541,13.7917,D,C +475,0,3,"Strandberg, Miss. Ida Sofia",female,22,0,0,7553,9.8375,,S +476,0,1,"Clifford, Mr. George Quincy",male,,0,0,110465,52,A14,S +477,0,2,"Renouf, Mr. Peter Henry",male,34,1,0,31027,21,,S +478,0,3,"Braund, Mr. Lewis Richard",male,29,1,0,3460,7.0458,,S +479,0,3,"Karlsson, Mr. Nils August",male,22,0,0,350060,7.5208,,S +480,1,3,"Hirvonen, Miss. Hildur E",female,2,0,1,3101298,12.2875,,S +481,0,3,"Goodwin, Master. Harold Victor",male,9,5,2,CA 2144,46.9,,S +482,0,2,"Frost, Mr. Anthony Wood ""Archie""",male,,0,0,239854,0,,S +483,0,3,"Rouse, Mr. Richard Henry",male,50,0,0,A/5 3594,8.05,,S +484,1,3,"Turkula, Mrs. (Hedwig)",female,63,0,0,4134,9.5875,,S +485,1,1,"Bishop, Mr. Dickinson H",male,25,1,0,11967,91.0792,B49,C +486,0,3,"Lefebre, Miss. Jeannie",female,,3,1,4133,25.4667,,S +487,1,1,"Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)",female,35,1,0,19943,90,C93,S +488,0,1,"Kent, Mr. Edward Austin",male,58,0,0,11771,29.7,B37,C +489,0,3,"Somerton, Mr. Francis William",male,30,0,0,A.5. 18509,8.05,,S +490,1,3,"Coutts, Master. Eden Leslie ""Neville""",male,9,1,1,C.A. 37671,15.9,,S +491,0,3,"Hagland, Mr. Konrad Mathias Reiersen",male,,1,0,65304,19.9667,,S +492,0,3,"Windelov, Mr. Einar",male,21,0,0,SOTON/OQ 3101317,7.25,,S +493,0,1,"Molson, Mr. Harry Markland",male,55,0,0,113787,30.5,C30,S +494,0,1,"Artagaveytia, Mr. Ramon",male,71,0,0,PC 17609,49.5042,,C +495,0,3,"Stanley, Mr. Edward Roland",male,21,0,0,A/4 45380,8.05,,S +496,0,3,"Yousseff, Mr. Gerious",male,,0,0,2627,14.4583,,C +497,1,1,"Eustis, Miss. Elizabeth Mussey",female,54,1,0,36947,78.2667,D20,C +498,0,3,"Shellard, Mr. Frederick William",male,,0,0,C.A. 6212,15.1,,S +499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25,1,2,113781,151.55,C22 C26,S +500,0,3,"Svensson, Mr. Olof",male,24,0,0,350035,7.7958,,S +501,0,3,"Calic, Mr. Petar",male,17,0,0,315086,8.6625,,S +502,0,3,"Canavan, Miss. Mary",female,21,0,0,364846,7.75,,Q +503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q +504,0,3,"Laitinen, Miss. Kristina Sofia",female,37,0,0,4135,9.5875,,S +505,1,1,"Maioni, Miss. Roberta",female,16,0,0,110152,86.5,B79,S +506,0,1,"Penasco y Castellana, Mr. Victor de Satode",male,18,1,0,PC 17758,108.9,C65,C +507,1,2,"Quick, Mrs. Frederick Charles (Jane Richards)",female,33,0,2,26360,26,,S +508,1,1,"Bradley, Mr. George (""George Arthur Brayton"")",male,,0,0,111427,26.55,,S +509,0,3,"Olsen, Mr. Henry Margido",male,28,0,0,C 4001,22.525,,S +510,1,3,"Lang, Mr. Fang",male,26,0,0,1601,56.4958,,S +511,1,3,"Daly, Mr. Eugene Patrick",male,29,0,0,382651,7.75,,Q +512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S +513,1,1,"McGough, Mr. James Robert",male,36,0,0,PC 17473,26.2875,E25,S +514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54,1,0,PC 17603,59.4,,C +515,0,3,"Coleff, Mr. Satio",male,24,0,0,349209,7.4958,,S +516,0,1,"Walker, Mr. William Anderson",male,47,0,0,36967,34.0208,D46,S +517,1,2,"Lemore, Mrs. (Amelia Milley)",female,34,0,0,C.A. 34260,10.5,F33,S +518,0,3,"Ryan, Mr. Patrick",male,,0,0,371110,24.15,,Q +519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36,1,0,226875,26,,S +520,0,3,"Pavlovic, Mr. Stefo",male,32,0,0,349242,7.8958,,S +521,1,1,"Perreault, Miss. Anne",female,30,0,0,12749,93.5,B73,S +522,0,3,"Vovk, Mr. Janko",male,22,0,0,349252,7.8958,,S +523,0,3,"Lahoud, Mr. Sarkis",male,,0,0,2624,7.225,,C +524,1,1,"Hippach, Mrs. Louis Albert (Ida Sophia Fischer)",female,44,0,1,111361,57.9792,B18,C +525,0,3,"Kassem, Mr. Fared",male,,0,0,2700,7.2292,,C +526,0,3,"Farrell, Mr. James",male,40.5,0,0,367232,7.75,,Q +527,1,2,"Ridsdale, Miss. Lucy",female,50,0,0,W./C. 14258,10.5,,S +528,0,1,"Farthing, Mr. John",male,,0,0,PC 17483,221.7792,C95,S +529,0,3,"Salonen, Mr. Johan Werner",male,39,0,0,3101296,7.925,,S +530,0,2,"Hocking, Mr. Richard George",male,23,2,1,29104,11.5,,S +531,1,2,"Quick, Miss. Phyllis May",female,2,1,1,26360,26,,S +532,0,3,"Toufik, Mr. Nakli",male,,0,0,2641,7.2292,,C +533,0,3,"Elias, Mr. Joseph Jr",male,17,1,1,2690,7.2292,,C +534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C +535,0,3,"Cacic, Miss. Marija",female,30,0,0,315084,8.6625,,S +536,1,2,"Hart, Miss. Eva Miriam",female,7,0,2,F.C.C. 13529,26.25,,S +537,0,1,"Butt, Major. Archibald Willingham",male,45,0,0,113050,26.55,B38,S +538,1,1,"LeRoy, Miss. Bertha",female,30,0,0,PC 17761,106.425,,C +539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S +540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22,0,2,13568,49.5,B39,C +541,1,1,"Crosby, Miss. Harriet R",female,36,0,2,WE/P 5735,71,B22,S +542,0,3,"Andersson, Miss. Ingeborg Constanzia",female,9,4,2,347082,31.275,,S +543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11,4,2,347082,31.275,,S +544,1,2,"Beane, Mr. Edward",male,32,1,0,2908,26,,S +545,0,1,"Douglas, Mr. Walter Donald",male,50,1,0,PC 17761,106.425,C86,C +546,0,1,"Nicholson, Mr. Arthur Ernest",male,64,0,0,693,26,,S +547,1,2,"Beane, Mrs. Edward (Ethel Clarke)",female,19,1,0,2908,26,,S +548,1,2,"Padro y Manent, Mr. Julian",male,,0,0,SC/PARIS 2146,13.8625,,C +549,0,3,"Goldsmith, Mr. Frank John",male,33,1,1,363291,20.525,,S +550,1,2,"Davies, Master. John Morgan Jr",male,8,1,1,C.A. 33112,36.75,,S +551,1,1,"Thayer, Mr. John Borland Jr",male,17,0,2,17421,110.8833,C70,C +552,0,2,"Sharp, Mr. Percival James R",male,27,0,0,244358,26,,S +553,0,3,"O'Brien, Mr. Timothy",male,,0,0,330979,7.8292,,Q +554,1,3,"Leeni, Mr. Fahim (""Philip Zenni"")",male,22,0,0,2620,7.225,,C +555,1,3,"Ohman, Miss. Velin",female,22,0,0,347085,7.775,,S +556,0,1,"Wright, Mr. George",male,62,0,0,113807,26.55,,S +557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48,1,0,11755,39.6,A16,C +558,0,1,"Robbins, Mr. Victor",male,,0,0,PC 17757,227.525,,C +559,1,1,"Taussig, Mrs. Emil (Tillie Mandelbaum)",female,39,1,1,110413,79.65,E67,S +560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36,1,0,345572,17.4,,S +561,0,3,"Morrow, Mr. Thomas Rowan",male,,0,0,372622,7.75,,Q +562,0,3,"Sivic, Mr. Husein",male,40,0,0,349251,7.8958,,S +563,0,2,"Norman, Mr. Robert Douglas",male,28,0,0,218629,13.5,,S +564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S +565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S +566,0,3,"Davies, Mr. Alfred J",male,24,2,0,A/4 48871,24.15,,S +567,0,3,"Stoytcheff, Mr. Ilia",male,19,0,0,349205,7.8958,,S +568,0,3,"Palsson, Mrs. Nils (Alma Cornelia Berglund)",female,29,0,4,349909,21.075,,S +569,0,3,"Doharr, Mr. Tannous",male,,0,0,2686,7.2292,,C +570,1,3,"Jonsson, Mr. Carl",male,32,0,0,350417,7.8542,,S +571,1,2,"Harris, Mr. George",male,62,0,0,S.W./PP 752,10.5,,S +572,1,1,"Appleton, Mrs. Edward Dale (Charlotte Lamson)",female,53,2,0,11769,51.4792,C101,S +573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36,0,0,PC 17474,26.3875,E25,S +574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q +575,0,3,"Rush, Mr. Alfred George John",male,16,0,0,A/4. 20589,8.05,,S +576,0,3,"Patchett, Mr. George",male,19,0,0,358585,14.5,,S +577,1,2,"Garside, Miss. Ethel",female,34,0,0,243880,13,,S +578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39,1,0,13507,55.9,E44,S +579,0,3,"Caram, Mrs. Joseph (Maria Elias)",female,,1,0,2689,14.4583,,C +580,1,3,"Jussila, Mr. Eiriik",male,32,0,0,STON/O 2. 3101286,7.925,,S +581,1,2,"Christy, Miss. Julie Rachel",female,25,1,1,237789,30,,S +582,1,1,"Thayer, Mrs. John Borland (Marian Longstreth Morris)",female,39,1,1,17421,110.8833,C68,C +583,0,2,"Downton, Mr. William James",male,54,0,0,28403,26,,S +584,0,1,"Ross, Mr. John Hugo",male,36,0,0,13049,40.125,A10,C +585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C +586,1,1,"Taussig, Miss. Ruth",female,18,0,2,110413,79.65,E68,S +587,0,2,"Jarvis, Mr. John Denzil",male,47,0,0,237565,15,,S +588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60,1,1,13567,79.2,B41,C +589,0,3,"Gilinski, Mr. Eliezer",male,22,0,0,14973,8.05,,S +590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S +591,0,3,"Rintamaki, Mr. Matti",male,35,0,0,STON/O 2. 3101273,7.125,,S +592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52,1,0,36947,78.2667,D20,C +593,0,3,"Elsbury, Mr. William James",male,47,0,0,A/5 3902,7.25,,S +594,0,3,"Bourke, Miss. Mary",female,,0,2,364848,7.75,,Q +595,0,2,"Chapman, Mr. John Henry",male,37,1,0,SC/AH 29037,26,,S +596,0,3,"Van Impe, Mr. Jean Baptiste",male,36,1,1,345773,24.15,,S +597,1,2,"Leitch, Miss. Jessie Wills",female,,0,0,248727,33,,S +598,0,3,"Johnson, Mr. Alfred",male,49,0,0,LINE,0,,S +599,0,3,"Boulos, Mr. Hanna",male,,0,0,2664,7.225,,C +600,1,1,"Duff Gordon, Sir. Cosmo Edmund (""Mr Morgan"")",male,49,1,0,PC 17485,56.9292,A20,C +601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24,2,1,243847,27,,S +602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S +603,0,1,"Harrington, Mr. Charles H",male,,0,0,113796,42.4,,S +604,0,3,"Torber, Mr. Ernst William",male,44,0,0,364511,8.05,,S +605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35,0,0,111426,26.55,,C +606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36,1,0,349910,15.55,,S +607,0,3,"Karaic, Mr. Milan",male,30,0,0,349246,7.8958,,S +608,1,1,"Daniel, Mr. Robert Williams",male,27,0,0,113804,30.5,,S +609,1,2,"Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)",female,22,1,2,SC/Paris 2123,41.5792,,C +610,1,1,"Shutes, Miss. Elizabeth W",female,40,0,0,PC 17582,153.4625,C125,S +611,0,3,"Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)",female,39,1,5,347082,31.275,,S +612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S +613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q +614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q +615,0,3,"Brocklebank, Mr. William Alfred",male,35,0,0,364512,8.05,,S +616,1,2,"Herman, Miss. Alice",female,24,1,2,220845,65,,S +617,0,3,"Danbom, Mr. Ernst Gilbert",male,34,1,1,347080,14.4,,S +618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26,1,0,A/5. 3336,16.1,,S +619,1,2,"Becker, Miss. Marion Louise",female,4,2,1,230136,39,F4,S +620,0,2,"Gavey, Mr. Lawrence",male,26,0,0,31028,10.5,,S +621,0,3,"Yasbeck, Mr. Antoni",male,27,1,0,2659,14.4542,,C +622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42,1,0,11753,52.5542,D19,S +623,1,3,"Nakid, Mr. Sahid",male,20,1,1,2653,15.7417,,C +624,0,3,"Hansen, Mr. Henry Damsgaard",male,21,0,0,350029,7.8542,,S +625,0,3,"Bowen, Mr. David John ""Dai""",male,21,0,0,54636,16.1,,S +626,0,1,"Sutton, Mr. Frederick",male,61,0,0,36963,32.3208,D50,S +627,0,2,"Kirkland, Rev. Charles Leonard",male,57,0,0,219533,12.35,,Q +628,1,1,"Longley, Miss. Gretchen Fiske",female,21,0,0,13502,77.9583,D9,S +629,0,3,"Bostandyeff, Mr. Guentcho",male,26,0,0,349224,7.8958,,S +630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q +631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80,0,0,27042,30,A23,S +632,0,3,"Lundahl, Mr. Johan Svensson",male,51,0,0,347743,7.0542,,S +633,1,1,"Stahelin-Maeglin, Dr. Max",male,32,0,0,13214,30.5,B50,C +634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0,,S +635,0,3,"Skoog, Miss. Mabel",female,9,3,2,347088,27.9,,S +636,1,2,"Davis, Miss. Mary",female,28,0,0,237668,13,,S +637,0,3,"Leinonen, Mr. Antti Gustaf",male,32,0,0,STON/O 2. 3101292,7.925,,S +638,0,2,"Collyer, Mr. Harvey",male,31,1,1,C.A. 31921,26.25,,S +639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41,0,5,3101295,39.6875,,S +640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S +641,0,3,"Jensen, Mr. Hans Peder",male,20,0,0,350050,7.8542,,S +642,1,1,"Sagesser, Mlle. Emma",female,24,0,0,PC 17477,69.3,B35,C +643,0,3,"Skoog, Miss. Margit Elizabeth",female,2,3,2,347088,27.9,,S +644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S +645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C +646,1,1,"Harper, Mr. Henry Sleeper",male,48,1,0,PC 17572,76.7292,D33,C +647,0,3,"Cor, Mr. Liudevit",male,19,0,0,349231,7.8958,,S +648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56,0,0,13213,35.5,A26,C +649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S +650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23,0,0,CA. 2314,7.55,,S +651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S +652,1,2,"Doling, Miss. Elsie",female,18,0,1,231919,23,,S +653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21,0,0,8475,8.4333,,S +654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q +655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18,0,0,365226,6.75,,Q +656,0,2,"Hickman, Mr. Leonard Mark",male,24,2,0,S.O.C. 14879,73.5,,S +657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S +658,0,3,"Bourke, Mrs. John (Catherine)",female,32,1,1,364849,15.5,,Q +659,0,2,"Eitemiller, Mr. George Floyd",male,23,0,0,29751,13,,S +660,0,1,"Newell, Mr. Arthur Webster",male,58,0,2,35273,113.275,D48,C +661,1,1,"Frauenthal, Dr. Henry William",male,50,2,0,PC 17611,133.65,,S +662,0,3,"Badt, Mr. Mohamed",male,40,0,0,2623,7.225,,C +663,0,1,"Colley, Mr. Edward Pomeroy",male,47,0,0,5727,25.5875,E58,S +664,0,3,"Coleff, Mr. Peju",male,36,0,0,349210,7.4958,,S +665,1,3,"Lindqvist, Mr. Eino William",male,20,1,0,STON/O 2. 3101285,7.925,,S +666,0,2,"Hickman, Mr. Lewis",male,32,2,0,S.O.C. 14879,73.5,,S +667,0,2,"Butler, Mr. Reginald Fenton",male,25,0,0,234686,13,,S +668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S +669,0,3,"Cook, Mr. Jacob",male,43,0,0,A/5 3536,8.05,,S +670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52,C126,S +671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40,1,1,29750,39,,S +672,0,1,"Davidson, Mr. Thornton",male,31,1,0,F.C. 12750,52,B71,S +673,0,2,"Mitchell, Mr. Henry Michael",male,70,0,0,C.A. 24580,10.5,,S +674,1,2,"Wilhelms, Mr. Charles",male,31,0,0,244270,13,,S +675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0,,S +676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18,0,0,349912,7.775,,S +677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S +678,1,3,"Turja, Miss. Anna Sofia",female,18,0,0,4138,9.8417,,S +679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43,1,6,CA 2144,46.9,,S +680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36,0,1,PC 17755,512.3292,B51 B53 B55,C +681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q +682,1,1,"Hassab, Mr. Hammad",male,27,0,0,PC 17572,76.7292,D49,C +683,0,3,"Olsvigen, Mr. Thor Anderson",male,20,0,0,6563,9.225,,S +684,0,3,"Goodwin, Mr. Charles Edward",male,14,5,2,CA 2144,46.9,,S +685,0,2,"Brown, Mr. Thomas William Solomon",male,60,1,1,29750,39,,S +686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25,1,2,SC/Paris 2123,41.5792,,C +687,0,3,"Panula, Mr. Jaako Arnold",male,14,4,1,3101295,39.6875,,S +688,0,3,"Dakic, Mr. Branko",male,19,0,0,349228,10.1708,,S +689,0,3,"Fischer, Mr. Eberhard Thelander",male,18,0,0,350036,7.7958,,S +690,1,1,"Madill, Miss. Georgette Alexandra",female,15,0,1,24160,211.3375,B5,S +691,1,1,"Dick, Mr. Albert Adrian",male,31,1,0,17474,57,B20,S +692,1,3,"Karun, Miss. Manca",female,4,0,1,349256,13.4167,,C +693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S +694,0,3,"Saad, Mr. Khalil",male,25,0,0,2672,7.225,,C +695,0,1,"Weir, Col. John",male,60,0,0,113800,26.55,,S +696,0,2,"Chapman, Mr. Charles Henry",male,52,0,0,248731,13.5,,S +697,0,3,"Kelly, Mr. James",male,44,0,0,363592,8.05,,S +698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q +699,0,1,"Thayer, Mr. John Borland",male,49,1,1,17421,110.8833,C68,C +700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42,0,0,348121,7.65,F G63,S +701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18,1,0,PC 17757,227.525,C62 C64,C +702,1,1,"Silverthorne, Mr. Spencer Victor",male,35,0,0,PC 17475,26.2875,E24,S +703,0,3,"Barbara, Miss. Saiide",female,18,0,1,2691,14.4542,,C +704,0,3,"Gallagher, Mr. Martin",male,25,0,0,36864,7.7417,,Q +705,0,3,"Hansen, Mr. Henrik Juul",male,26,1,0,350025,7.8542,,S +706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39,0,0,250655,26,,S +707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45,0,0,223596,13.5,,S +708,1,1,"Calderhead, Mr. Edward Pennington",male,42,0,0,PC 17476,26.2875,E24,S +709,1,1,"Cleaver, Miss. Alice",female,22,0,0,113781,151.55,,S +710,1,3,"Moubarek, Master. Halim Gonios (""William George"")",male,,1,1,2661,15.2458,,C +711,1,1,"Mayne, Mlle. Berthe Antonine (""Mrs de Villiers"")",female,24,0,0,PC 17482,49.5042,C90,C +712,0,1,"Klaber, Mr. Herman",male,,0,0,113028,26.55,C124,S +713,1,1,"Taylor, Mr. Elmer Zebley",male,48,1,0,19996,52,C126,S +714,0,3,"Larsson, Mr. August Viktor",male,29,0,0,7545,9.4833,,S +715,0,2,"Greenberg, Mr. Samuel",male,52,0,0,250647,13,,S +716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19,0,0,348124,7.65,F G73,S +717,1,1,"Endres, Miss. Caroline Louise",female,38,0,0,PC 17757,227.525,C45,C +718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27,0,0,34218,10.5,E101,S +719,0,3,"McEvoy, Mr. Michael",male,,0,0,36568,15.5,,Q +720,0,3,"Johnson, Mr. Malkolm Joackim",male,33,0,0,347062,7.775,,S +721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6,0,1,248727,33,,S +722,0,3,"Jensen, Mr. Svend Lauritz",male,17,1,0,350048,7.0542,,S +723,0,2,"Gillespie, Mr. William Henry",male,34,0,0,12233,13,,S +724,0,2,"Hodges, Mr. Henry Price",male,50,0,0,250643,13,,S +725,1,1,"Chambers, Mr. Norman Campbell",male,27,1,0,113806,53.1,E8,S +726,0,3,"Oreskovic, Mr. Luka",male,20,0,0,315094,8.6625,,S +727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30,3,0,31027,21,,S +728,1,3,"Mannion, Miss. Margareth",female,,0,0,36866,7.7375,,Q +729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25,1,0,236853,26,,S +730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25,1,0,STON/O2. 3101271,7.925,,S +731,1,1,"Allen, Miss. Elisabeth Walton",female,29,0,0,24160,211.3375,B5,S +732,0,3,"Hassan, Mr. Houssein G N",male,11,0,0,2699,18.7875,,C +733,0,2,"Knight, Mr. Robert J",male,,0,0,239855,0,,S +734,0,2,"Berriman, Mr. William John",male,23,0,0,28425,13,,S +735,0,2,"Troupiansky, Mr. Moses Aaron",male,23,0,0,233639,13,,S +736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S +737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48,1,3,W./C. 6608,34.375,,S +738,1,1,"Lesurer, Mr. Gustave J",male,35,0,0,PC 17755,512.3292,B101,C +739,0,3,"Ivanoff, Mr. Kanio",male,,0,0,349201,7.8958,,S +740,0,3,"Nankoff, Mr. Minko",male,,0,0,349218,7.8958,,S +741,1,1,"Hawksford, Mr. Walter James",male,,0,0,16988,30,D45,S +742,0,1,"Cavendish, Mr. Tyrell William",male,36,1,0,19877,78.85,C46,S +743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21,2,2,PC 17608,262.375,B57 B59 B63 B66,C +744,0,3,"McNamee, Mr. Neal",male,24,1,0,376566,16.1,,S +745,1,3,"Stranden, Mr. Juho",male,31,0,0,STON/O 2. 3101288,7.925,,S +746,0,1,"Crosby, Capt. Edward Gifford",male,70,1,1,WE/P 5735,71,B22,S +747,0,3,"Abbott, Mr. Rossmore Edward",male,16,1,1,C.A. 2673,20.25,,S +748,1,2,"Sinkkonen, Miss. Anna",female,30,0,0,250648,13,,S +749,0,1,"Marvin, Mr. Daniel Warner",male,19,1,0,113773,53.1,D30,S +750,0,3,"Connaghton, Mr. Michael",male,31,0,0,335097,7.75,,Q +751,1,2,"Wells, Miss. Joan",female,4,1,1,29103,23,,S +752,1,3,"Moor, Master. Meier",male,6,0,1,392096,12.475,E121,S +753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33,0,0,345780,9.5,,S +754,0,3,"Jonkoff, Mr. Lalio",male,23,0,0,349204,7.8958,,S +755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48,1,2,220845,65,,S +756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S +757,0,3,"Carlsson, Mr. August Sigfrid",male,28,0,0,350042,7.7958,,S +758,0,2,"Bailey, Mr. Percy Andrew",male,18,0,0,29108,11.5,,S +759,0,3,"Theobald, Mr. Thomas Leonard",male,34,0,0,363294,8.05,,S +760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33,0,0,110152,86.5,B77,S +761,0,3,"Garfirth, Mr. John",male,,0,0,358585,14.5,,S +762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41,0,0,SOTON/O2 3101272,7.125,,S +763,1,3,"Barah, Mr. Hanna Assi",male,20,0,0,2663,7.2292,,C +764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36,1,2,113760,120,B96 B98,S +765,0,3,"Eklund, Mr. Hans Linus",male,16,0,0,347074,7.775,,S +766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51,1,0,13502,77.9583,D11,S +767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C +768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q +769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q +770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32,0,0,8471,8.3625,,S +771,0,3,"Lievens, Mr. Rene Aime",male,24,0,0,345781,9.5,,S +772,0,3,"Jensen, Mr. Niels Peder",male,48,0,0,350047,7.8542,,S +773,0,2,"Mack, Mrs. (Mary)",female,57,0,0,S.O./P.P. 3,10.5,E77,S +774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C +775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54,1,3,29105,23,,S +776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18,0,0,347078,7.75,,S +777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q +778,1,3,"Emanuel, Miss. Virginia Ethel",female,5,0,0,364516,12.475,,S +779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q +780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43,0,1,24160,211.3375,B3,S +781,1,3,"Ayoub, Miss. Banoura",female,13,0,0,2687,7.2292,,C +782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17,1,0,17474,57,B20,S +783,0,1,"Long, Mr. Milton Clyde",male,29,0,0,113501,30,D6,S +784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S +785,0,3,"Ali, Mr. William",male,25,0,0,SOTON/O.Q. 3101312,7.05,,S +786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25,0,0,374887,7.25,,S +787,1,3,"Sjoblom, Miss. Anna Sofia",female,18,0,0,3101265,7.4958,,S +788,0,3,"Rice, Master. George Hugh",male,8,4,1,382652,29.125,,Q +789,1,3,"Dean, Master. Bertram Vere",male,1,1,2,C.A. 2315,20.575,,S +790,0,1,"Guggenheim, Mr. Benjamin",male,46,0,0,PC 17593,79.2,B82 B84,C +791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q +792,0,2,"Gaskell, Mr. Alfred",male,16,0,0,239865,26,,S +793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S +794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C +795,0,3,"Dantcheff, Mr. Ristiu",male,25,0,0,349203,7.8958,,S +796,0,2,"Otter, Mr. Richard",male,39,0,0,28213,13,,S +797,1,1,"Leader, Dr. Alice (Farnham)",female,49,0,0,17465,25.9292,D17,S +798,1,3,"Osman, Mrs. Mara",female,31,0,0,349244,8.6833,,S +799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30,0,0,2685,7.2292,,C +800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30,1,1,345773,24.15,,S +801,0,2,"Ponesell, Mr. Martin",male,34,0,0,250647,13,,S +802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31,1,1,C.A. 31921,26.25,,S +803,1,1,"Carter, Master. William Thornton II",male,11,1,2,113760,120,B96 B98,S +804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C +805,1,3,"Hedman, Mr. Oskar Arvid",male,27,0,0,347089,6.975,,S +806,0,3,"Johansson, Mr. Karl Johan",male,31,0,0,347063,7.775,,S +807,0,1,"Andrews, Mr. Thomas Jr",male,39,0,0,112050,0,A36,S +808,0,3,"Pettersson, Miss. Ellen Natalia",female,18,0,0,347087,7.775,,S +809,0,2,"Meyer, Mr. August",male,39,0,0,248723,13,,S +810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33,1,0,113806,53.1,E8,S +811,0,3,"Alexander, Mr. William",male,26,0,0,3474,7.8875,,S +812,0,3,"Lester, Mr. James",male,39,0,0,A/4 48871,24.15,,S +813,0,2,"Slemen, Mr. Richard James",male,35,0,0,28206,10.5,,S +814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6,4,2,347082,31.275,,S +815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S +816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0,B102,S +817,0,3,"Heininen, Miss. Wendla Maria",female,23,0,0,STON/O2. 3101290,7.925,,S +818,0,2,"Mallet, Mr. Albert",male,31,1,1,S.C./PARIS 2079,37.0042,,C +819,0,3,"Holm, Mr. John Fredrik Alexander",male,43,0,0,C 7075,6.45,,S +820,0,3,"Skoog, Master. Karl Thorsten",male,10,3,2,347088,27.9,,S +821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52,1,1,12749,93.5,B69,S +822,1,3,"Lulic, Mr. Nikola",male,27,0,0,315098,8.6625,,S +823,0,1,"Reuchlin, Jonkheer. John George",male,38,0,0,19972,0,,S +824,1,3,"Moor, Mrs. (Beila)",female,27,0,1,392096,12.475,E121,S +825,0,3,"Panula, Master. Urho Abraham",male,2,4,1,3101295,39.6875,,S +826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q +827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S +828,1,2,"Mallet, Master. Andre",male,1,0,2,S.C./PARIS 2079,37.0042,,C +829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q +830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62,0,0,113572,80,B28, +831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15,1,0,2659,14.4542,,C +832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S +833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C +834,0,3,"Augustsson, Mr. Albert",male,23,0,0,347468,7.8542,,S +835,0,3,"Allum, Mr. Owen George",male,18,0,0,2223,8.3,,S +836,1,1,"Compton, Miss. Sara Rebecca",female,39,1,1,PC 17756,83.1583,E49,C +837,0,3,"Pasic, Mr. Jakob",male,21,0,0,315097,8.6625,,S +838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S +839,1,3,"Chip, Mr. Chang",male,32,0,0,1601,56.4958,,S +840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C +841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20,0,0,SOTON/O2 3101287,7.925,,S +842,0,2,"Mudd, Mr. Thomas Charles",male,16,0,0,S.O./P.P. 3,10.5,,S +843,1,1,"Serepeca, Miss. Augusta",female,30,0,0,113798,31,,C +844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C +845,0,3,"Culumovic, Mr. Jeso",male,17,0,0,315090,8.6625,,S +846,0,3,"Abbing, Mr. Anthony",male,42,0,0,C.A. 5547,7.55,,S +847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S +848,0,3,"Markoff, Mr. Marin",male,35,0,0,349213,7.8958,,C +849,0,2,"Harper, Rev. John",male,28,0,1,248727,33,,S +850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C +851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4,4,2,347082,31.275,,S +852,0,3,"Svensson, Mr. Johan",male,74,0,0,347060,7.775,,S +853,0,3,"Boulos, Miss. Nourelain",female,9,1,1,2678,15.2458,,C +854,1,1,"Lines, Miss. Mary Conover",female,16,0,1,PC 17592,39.4,D28,S +855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S +856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S +857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S +858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S +859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C +860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C +861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S +862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S +863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S +864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S +865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S +866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S +867,1,2,"Duran y More, Miss. Asuncion",female,27,1,0,SC/PARIS 2149,13.8583,,C +868,0,1,"Roebling, Mr. Washington Augustus II",male,31,0,0,PC 17590,50.4958,A24,S +869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S +870,1,3,"Johnson, Master. Harold Theodor",male,4,1,1,347742,11.1333,,S +871,0,3,"Balkic, Mr. Cerin",male,26,0,0,349248,7.8958,,S +872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47,1,1,11751,52.5542,D35,S +873,0,1,"Carlsson, Mr. Frans Olof",male,33,0,0,695,5,B51 B53 B55,S +874,0,3,"Vander Cruyssen, Mr. Victor",male,47,0,0,345765,9,,S +875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28,1,0,P/PP 3381,24,,C +876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C +877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S +878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S +879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S +880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C +881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S +882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S +883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S +884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S +885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S +886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q +887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S +888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S +889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S +890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C +891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q diff --git a/data/world-population-by-country-2020.csv b/data/world-population-by-country-2020.csv new file mode 100644 index 0000000..78c1f46 --- /dev/null +++ b/data/world-population-by-country-2020.csv @@ -0,0 +1,236 @@ +ο»Ώno,Country (or dependency),Population 2020,Yearly Change,Net Change,Density (P/KmΒ²),Land Area (KmΒ²),Migrants (net),Fert. Rate,Med. Age,Urban Pop %,World Share +1,China,"1,439,323,776",0.39%,"5,540,090",153,"9,388,211","-348,399",1.7,38,61%,18.47% +2,India,"1,380,004,385",0.99%,"13,586,631",464,"2,973,190","-532,687",2.2,28,35%,17.70% +3,United States,"331,002,651",0.59%,"1,937,734",36,"9,147,420","954,806",1.8,38,83%,4.25% +4,Indonesia,"273,523,615",1.07%,"2,898,047",151,"1,811,570","-98,955",2.3,30,56%,3.51% +5,Pakistan,"220,892,340",2.00%,"4,327,022",287,"770,880","-233,379",3.6,23,35%,2.83% +6,Brazil,"212,559,417",0.72%,"1,509,890",25,"8,358,140","21,200",1.7,33,88%,2.73% +7,Nigeria,"206,139,589",2.58%,"5,175,990",226,"910,770","-60,000",5.4,18,52%,2.64% +8,Bangladesh,"164,689,383",1.01%,"1,643,222","1,265","130,170","-369,501",2.1,28,39%,2.11% +9,Russia,"145,934,462",0.04%,"62,206",9,"16,376,870","182,456",1.8,40,74%,1.87% +10,Mexico,"128,932,753",1.06%,"1,357,224",66,"1,943,950","-60,000",2.1,29,84%,1.65% +11,Japan,"126,476,461",-0.30%,"-383,840",347,"364,555","71,560",1.4,48,92%,1.62% +12,Ethiopia,"114,963,588",2.57%,"2,884,858",115,"1,000,000","30,000",4.3,19,21%,1.47% +13,Philippines,"109,581,078",1.35%,"1,464,463",368,"298,170","-67,152",2.6,26,47%,1.41% +14,Egypt,"102,334,404",1.94%,"1,946,331",103,"995,450","-38,033",3.3,25,43%,1.31% +15,Vietnam,"97,338,579",0.91%,"876,473",314,"310,070","-80,000",2.1,32,38%,1.25% +16,DR Congo,"89,561,403",3.19%,"2,770,836",40,"2,267,050","23,861",6,17,46%,1.15% +17,Turkey,"84,339,067",1.09%,"909,452",110,"769,630","283,922",2.1,32,76%,1.08% +18,Iran,"83,992,949",1.30%,"1,079,043",52,"1,628,550","-55,000",2.2,32,76%,1.08% +19,Germany,"83,783,942",0.32%,"266,897",240,"348,560","543,822",1.6,46,76%,1.07% +20,Thailand,"69,799,978",0.25%,"174,396",137,"510,890","19,444",1.5,40,51%,0.90% +21,United Kingdom,"67,886,011",0.53%,"355,839",281,"241,930","260,650",1.8,40,83%,0.87% +22,France,"65,273,511",0.22%,"143,783",119,"547,557","36,527",1.9,42,82%,0.84% +23,Italy,"60,461,826",-0.15%,"-88,249",206,"294,140","148,943",1.3,47,69%,0.78% +24,Tanzania,"59,734,218",2.98%,"1,728,755",67,"885,800","-40,076",4.9,18,37%,0.77% +25,South Africa,"59,308,690",1.28%,"750,420",49,"1,213,090","145,405",2.4,28,67%,0.76% +26,Myanmar,"54,409,800",0.67%,"364,380",83,"653,290","-163,313",2.2,29,31%,0.70% +27,Kenya,"53,771,296",2.28%,"1,197,323",94,"569,140","-10,000",3.5,20,28%,0.69% +28,South Korea,"51,269,185",0.09%,"43,877",527,"97,230","11,731",1.1,44,82%,0.66% +29,Colombia,"50,882,891",1.08%,"543,448",46,"1,109,500","204,796",1.8,31,80%,0.65% +30,Spain,"46,754,778",0.04%,"18,002",94,"498,800","40,000",1.3,45,80%,0.60% +31,Uganda,"45,741,007",3.32%,"1,471,413",229,"199,810","168,694",5,17,26%,0.59% +32,Argentina,"45,195,774",0.93%,"415,097",17,"2,736,690","4,800",2.3,32,93%,0.58% +33,Algeria,"43,851,044",1.85%,"797,990",18,"2,381,740","-10,000",3.1,29,73%,0.56% +34,Sudan,"43,849,260",2.42%,"1,036,022",25,"1,765,048","-50,000",4.4,20,35%,0.56% +35,Ukraine,"43,733,762",-0.59%,"-259,876",75,"579,320","10,000",1.4,41,69%,0.56% +36,Iraq,"40,222,493",2.32%,"912,710",93,"434,320","7,834",3.7,21,73%,0.52% +37,Afghanistan,"38,928,346",2.33%,"886,592",60,"652,860","-62,920",4.6,18,25%,0.50% +38,Poland,"37,846,611",-0.11%,"-41,157",124,"306,230","-29,395",1.4,42,60%,0.49% +39,Canada,"37,742,154",0.89%,"331,107",4,"9,093,510","242,032",1.5,41,81%,0.48% +40,Morocco,"36,910,560",1.20%,"438,791",83,"446,300","-51,419",2.4,30,64%,0.47% +41,Saudi Arabia,"34,813,871",1.59%,"545,343",16,"2,149,690","134,979",2.3,32,84%,0.45% +42,Uzbekistan,"33,469,203",1.48%,"487,487",79,"425,400","-8,863",2.4,28,50%,0.43% +43,Peru,"32,971,854",1.42%,"461,401",26,"1,280,000","99,069",2.3,31,79%,0.42% +44,Angola,"32,866,272",3.27%,"1,040,977",26,"1,246,700","6,413",5.6,17,67%,0.42% +45,Malaysia,"32,365,999",1.30%,"416,222",99,"328,550","50,000",2,30,78%,0.42% +46,Mozambique,"31,255,435",2.93%,"889,399",40,"786,380","-5,000",4.9,18,38%,0.40% +47,Ghana,"31,072,940",2.15%,"655,084",137,"227,540","-10,000",3.9,22,57%,0.40% +48,Yemen,"29,825,964",2.28%,"664,042",56,"527,970","-30,000",3.8,20,38%,0.38% +49,Nepal,"29,136,808",1.85%,"528,098",203,"143,350","41,710",1.9,25,21%,0.37% +50,Venezuela,"28,435,940",-0.28%,"-79,889",32,"882,050","-653,249",2.3,30,N.A.,0.36% +51,Madagascar,"27,691,018",2.68%,"721,711",48,"581,795","-1,500",4.1,20,39%,0.36% +52,Cameroon,"26,545,863",2.59%,"669,483",56,"472,710","-4,800",4.6,19,56%,0.34% +53,CΓ΄te d'Ivoire,"26,378,274",2.57%,"661,730",83,"318,000","-8,000",4.7,19,51%,0.34% +54,North Korea,"25,778,816",0.44%,"112,655",214,"120,410","-5,403",1.9,35,63%,0.33% +55,Australia,"25,499,884",1.18%,"296,686",3,"7,682,300","158,246",1.8,38,86%,0.33% +56,Niger,"24,206,644",3.84%,"895,929",19,"1,266,700","4,000",7,15,17%,0.31% +57,Taiwan,"23,816,775",0.18%,"42,899",673,"35,410","30,001",1.2,42,79%,0.31% +58,Sri Lanka,"21,413,249",0.42%,"89,516",341,"62,710","-97,986",2.2,34,18%,0.27% +59,Burkina Faso,"20,903,273",2.86%,"581,895",76,"273,600","-25,000",5.2,18,31%,0.27% +60,Mali,"20,250,833",3.02%,"592,802",17,"1,220,190","-40,000",5.9,16,44%,0.26% +61,Romania,"19,237,691",-0.66%,"-126,866",84,"230,170","-73,999",1.6,43,55%,0.25% +62,Malawi,"19,129,952",2.69%,"501,205",203,"94,280","-16,053",4.3,18,18%,0.25% +63,Chile,"19,116,201",0.87%,"164,163",26,"743,532","111,708",1.7,35,85%,0.25% +64,Kazakhstan,"18,776,707",1.21%,"225,280",7,"2,699,700","-18,000",2.8,31,58%,0.24% +65,Zambia,"18,383,955",2.93%,"522,925",25,"743,390","-8,000",4.7,18,45%,0.24% +66,Guatemala,"17,915,568",1.90%,"334,096",167,"107,160","-9,215",2.9,23,52%,0.23% +67,Ecuador,"17,643,054",1.55%,"269,392",71,"248,360","36,400",2.4,28,63%,0.23% +68,Syria,"17,500,658",2.52%,"430,523",95,"183,630","-427,391",2.8,26,60%,0.22% +69,Netherlands,"17,134,872",0.22%,"37,742",508,"33,720","16,000",1.7,43,92%,0.22% +70,Senegal,"16,743,927",2.75%,"447,563",87,"192,530","-20,000",4.7,19,49%,0.21% +71,Cambodia,"16,718,965",1.41%,"232,423",95,"176,520","-30,000",2.5,26,24%,0.21% +72,Chad,"16,425,864",3.00%,"478,988",13,"1,259,200","2,000",5.8,17,23%,0.21% +73,Somalia,"15,893,222",2.92%,"450,317",25,"627,340","-40,000",6.1,17,47%,0.20% +74,Zimbabwe,"14,862,924",1.48%,"217,456",38,"386,850","-116,858",3.6,19,38%,0.19% +75,Guinea,"13,132,795",2.83%,"361,549",53,"245,720","-4,000",4.7,18,39%,0.17% +76,Rwanda,"12,952,218",2.58%,"325,268",525,"24,670","-9,000",4.1,20,18%,0.17% +77,Benin,"12,123,200",2.73%,"322,049",108,"112,760","-2,000",4.9,19,48%,0.16% +78,Burundi,"11,890,784",3.12%,"360,204",463,"25,680","2,001",5.5,17,14%,0.15% +79,Tunisia,"11,818,619",1.06%,"123,900",76,"155,360","-4,000",2.2,33,70%,0.15% +80,Bolivia,"11,673,021",1.39%,"159,921",11,"1,083,300","-9,504",2.8,26,69%,0.15% +81,Belgium,"11,589,623",0.44%,"50,295",383,"30,280","48,000",1.7,42,98%,0.15% +82,Haiti,"11,402,528",1.24%,"139,451",414,"27,560","-35,000",3,24,57%,0.15% +83,Cuba,"11,326,616",-0.06%,"-6,867",106,"106,440","-14,400",1.6,42,78%,0.15% +84,South Sudan,"11,193,725",1.19%,"131,612",18,"610,952","-174,200",4.7,19,25%,0.14% +85,Dominican Republic,"10,847,910",1.01%,"108,952",225,"48,320","-30,000",2.4,28,85%,0.14% +86,Czech Republic (Czechia),"10,708,981",0.18%,"19,772",139,"77,240","22,011",1.6,43,74%,0.14% +87,Greece,"10,423,054",-0.48%,"-50,401",81,"128,900","-16,000",1.3,46,85%,0.13% +88,Jordan,"10,203,134",1.00%,"101,440",115,"88,780","10,220",2.8,24,91%,0.13% +89,Portugal,"10,196,709",-0.29%,"-29,478",111,"91,590","-6,000",1.3,46,66%,0.13% +90,Azerbaijan,"10,139,177",0.91%,"91,459",123,"82,658","1,200",2.1,32,56%,0.13% +91,Sweden,"10,099,265",0.63%,"62,886",25,"410,340","40,000",1.9,41,88%,0.13% +92,Honduras,"9,904,607",1.63%,"158,490",89,"111,890","-6,800",2.5,24,57%,0.13% +93,United Arab Emirates,"9,890,402",1.23%,"119,873",118,"83,600","40,000",1.4,33,86%,0.13% +94,Hungary,"9,660,351",-0.25%,"-24,328",107,"90,530","6,000",1.5,43,72%,0.12% +95,Tajikistan,"9,537,645",2.32%,"216,627",68,"139,960","-20,000",3.6,22,27%,0.12% +96,Belarus,"9,449,323",-0.03%,"-3,088",47,"202,910","8,730",1.7,40,79%,0.12% +97,Austria,"9,006,398",0.57%,"51,296",109,"82,409","65,000",1.5,43,57%,0.12% +98,Papua New Guinea,"8,947,024",1.95%,"170,915",20,"452,860",-800,3.6,22,13%,0.11% +99,Serbia,"8,737,371",-0.40%,"-34,864",100,"87,460","4,000",1.5,42,56%,0.11% +100,Israel,"8,655,535",1.60%,"136,158",400,"21,640","10,000",3,30,93%,0.11% +101,Switzerland,"8,654,622",0.74%,"63,257",219,"39,516","52,000",1.5,43,74%,0.11% +102,Togo,"8,278,724",2.43%,"196,358",152,"54,390","-2,000",4.4,19,43%,0.11% +103,Sierra Leone,"7,976,983",2.10%,"163,768",111,"72,180","-4,200",4.3,19,43%,0.10% +104,Hong Kong,"7,496,981",0.82%,"60,827","7,140","1,050","29,308",1.3,45,N.A.,0.10% +105,Laos,"7,275,560",1.48%,"106,105",32,"230,800","-14,704",2.7,24,36%,0.09% +106,Paraguay,"7,132,538",1.25%,"87,902",18,"397,300","-16,556",2.4,26,62%,0.09% +107,Bulgaria,"6,948,445",-0.74%,"-51,674",64,"108,560","-4,800",1.6,45,76%,0.09% +108,Libya,"6,871,292",1.38%,"93,840",4,"1,759,540","-1,999",2.3,29,78%,0.09% +109,Lebanon,"6,825,445",-0.44%,"-30,268",667,"10,230","-30,012",2.1,30,78%,0.09% +110,Nicaragua,"6,624,554",1.21%,"79,052",55,"120,340","-21,272",2.4,26,57%,0.08% +111,Kyrgyzstan,"6,524,195",1.69%,"108,345",34,"191,800","-4,000",3,26,36%,0.08% +112,El Salvador,"6,486,205",0.51%,"32,652",313,"20,720","-40,539",2.1,28,73%,0.08% +113,Turkmenistan,"6,031,200",1.50%,"89,111",13,"469,930","-5,000",2.8,27,53%,0.08% +114,Singapore,"5,850,342",0.79%,"46,005","8,358",700,"27,028",1.2,42,N.A.,0.08% +115,Denmark,"5,792,202",0.35%,"20,326",137,"42,430","15,200",1.8,42,88%,0.07% +116,Finland,"5,540,720",0.15%,"8,564",18,"303,890","14,000",1.5,43,86%,0.07% +117,Congo,"5,518,087",2.56%,"137,579",16,"341,500","-4,000",4.5,19,70%,0.07% +118,Slovakia,"5,459,642",0.05%,"2,629",114,"48,088","1,485",1.5,41,54%,0.07% +119,Norway,"5,421,241",0.79%,"42,384",15,"365,268","28,000",1.7,40,83%,0.07% +120,Oman,"5,106,626",2.65%,"131,640",16,"309,500","87,400",2.9,31,87%,0.07% +121,State of Palestine,"5,101,414",2.41%,"119,994",847,"6,020","-10,563",3.7,21,80%,0.07% +122,Costa Rica,"5,094,118",0.92%,"46,557",100,"51,060","4,200",1.8,33,80%,0.07% +123,Liberia,"5,057,681",2.44%,"120,307",53,"96,320","-5,000",4.4,19,53%,0.06% +124,Ireland,"4,937,786",1.13%,"55,291",72,"68,890","23,604",1.8,38,63%,0.06% +125,Central African Republic,"4,829,767",1.78%,"84,582",8,"622,980","-40,000",4.8,18,43%,0.06% +126,New Zealand,"4,822,233",0.82%,"39,170",18,"263,310","14,881",1.9,38,87%,0.06% +127,Mauritania,"4,649,658",2.74%,"123,962",5,"1,030,700","5,000",4.6,20,57%,0.06% +128,Panama,"4,314,767",1.61%,"68,328",58,"74,340","11,200",2.5,30,68%,0.06% +129,Kuwait,"4,270,571",1.51%,"63,488",240,"17,820","39,520",2.1,37,N.A.,0.05% +130,Croatia,"4,105,267",-0.61%,"-25,037",73,"55,960","-8,001",1.4,44,58%,0.05% +131,Moldova,"4,033,963",-0.23%,"-9,300",123,"32,850","-1,387",1.3,38,43%,0.05% +132,Georgia,"3,989,167",-0.19%,"-7,598",57,"69,490","-10,000",2.1,38,58%,0.05% +133,Eritrea,"3,546,421",1.41%,"49,304",35,"101,000","-39,858",4.1,19,63%,0.05% +134,Uruguay,"3,473,730",0.35%,"11,996",20,"175,020","-3,000",2,36,96%,0.04% +135,Bosnia and Herzegovina,"3,280,819",-0.61%,"-20,181",64,"51,000","-21,585",1.3,43,52%,0.04% +136,Mongolia,"3,278,290",1.65%,"53,123",2,"1,553,560",-852,2.9,28,67%,0.04% +137,Armenia,"2,963,243",0.19%,"5,512",104,"28,470","-4,998",1.8,35,63%,0.04% +138,Jamaica,"2,961,167",0.44%,"12,888",273,"10,830","-11,332",2,31,55%,0.04% +139,Qatar,"2,881,053",1.73%,"48,986",248,"11,610","40,000",1.9,32,96%,0.04% +140,Albania,"2,877,797",-0.11%,"-3,120",105,"27,400","-14,000",1.6,36,63%,0.04% +141,Puerto Rico,"2,860,853",-2.47%,"-72,555",323,"8,870","-97,986",1.2,44,N.A.,0.04% +142,Lithuania,"2,722,289",-1.35%,"-37,338",43,"62,674","-32,780",1.7,45,71%,0.03% +143,Namibia,"2,540,905",1.86%,"46,375",3,"823,290","-4,806",3.4,22,55%,0.03% +144,Gambia,"2,416,668",2.94%,"68,962",239,"10,120","-3,087",5.3,18,59%,0.03% +145,Botswana,"2,351,627",2.08%,"47,930",4,"566,730","3,000",2.9,24,73%,0.03% +146,Gabon,"2,225,734",2.45%,"53,155",9,"257,670","3,260",4,23,87%,0.03% +147,Lesotho,"2,142,249",0.80%,"16,981",71,"30,360","-10,047",3.2,24,31%,0.03% +148,North Macedonia,"2,083,374",0.00%,-85,83,"25,220","-1,000",1.5,39,59%,0.03% +149,Slovenia,"2,078,938",0.01%,284,103,"20,140","2,000",1.6,45,55%,0.03% +150,Guinea-Bissau,"1,968,001",2.45%,"47,079",70,"28,120","-1,399",4.5,19,45%,0.03% +151,Latvia,"1,886,198",-1.08%,"-20,545",30,"62,200","-14,837",1.7,44,69%,0.02% +152,Bahrain,"1,701,575",3.68%,"60,403","2,239",760,"47,800",2,32,89%,0.02% +153,Equatorial Guinea,"1,402,985",3.47%,"46,999",50,"28,050","16,000",4.6,22,73%,0.02% +154,Trinidad and Tobago,"1,399,488",0.32%,"4,515",273,"5,130",-800,1.7,36,52%,0.02% +155,Estonia,"1,326,535",0.07%,887,31,"42,390","3,911",1.6,42,68%,0.02% +156,Timor-Leste,"1,318,445",1.96%,"25,326",89,"14,870","-5,385",4.1,21,33%,0.02% +157,Mauritius,"1,271,768",0.17%,"2,100",626,"2,030",0,1.4,37,41%,0.02% +158,Cyprus,"1,207,359",0.73%,"8,784",131,"9,240","5,000",1.3,37,67%,0.02% +159,Eswatini,"1,160,164",1.05%,"12,034",67,"17,200","-8,353",3,21,30%,0.01% +160,Djibouti,"988,000",1.48%,"14,440",43,"23,180",900,2.8,27,79%,0.01% +161,Fiji,"896,445",0.73%,"6,492",49,"18,270","-6,202",2.8,28,59%,0.01% +162,RΓ©union,"895,312",0.72%,"6,385",358,"2,500","-1,256",2.3,36,100%,0.01% +163,Comoros,"869,601",2.20%,"18,715",467,"1,861","-2,000",4.2,20,29%,0.01% +164,Guyana,"786,552",0.48%,"3,786",4,"196,850","-6,000",2.5,27,27%,0.01% +165,Bhutan,"771,608",1.12%,"8,516",20,"38,117",320,2,28,46%,0.01% +166,Solomon Islands,"686,884",2.55%,"17,061",25,"27,990","-1,600",4.4,20,23%,0.01% +167,Macao,"649,335",1.39%,"8,890","21,645",30,"5,000",1.2,39,N.A.,0.01% +168,Montenegro,"628,066",0.01%,79,47,"13,450",-480,1.8,39,68%,0.01% +169,Luxembourg,"625,978",1.66%,"10,249",242,"2,590","9,741",1.5,40,88%,0.01% +170,Western Sahara,"597,339",2.55%,"14,876",2,"266,000","5,582",2.4,28,87%,0.01% +171,Suriname,"586,632",0.90%,"5,260",4,"156,000","-1,000",2.4,29,65%,0.01% +172,Cabo Verde,"555,987",1.10%,"6,052",138,"4,030","-1,342",2.3,28,68%,0.01% +173,Micronesia,"548,914",1.00%,"5,428",784,700,"-2,957",2.9,27,68%,0.01% +174,Maldives,"540,544",1.81%,"9,591","1,802",300,"11,370",1.9,30,35%,0.01% +175,Malta,"441,543",0.27%,"1,171","1,380",320,900,1.5,43,93%,0.01% +176,Brunei,"437,479",0.97%,"4,194",83,"5,270",0,1.8,32,80%,0.01% +177,Guadeloupe,"400,124",0.02%,68,237,"1,690","-1,440",2.2,44,N.A.,0.01% +178,Belize,"397,628",1.86%,"7,275",17,"22,810","1,200",2.3,25,46%,0.01% +179,Bahamas,"393,244",0.97%,"3,762",39,"10,010","1,000",1.8,32,86%,0.01% +180,Martinique,"375,265",-0.08%,-289,354,"1,060",-960,1.9,47,92%,0.00% +181,Iceland,"341,243",0.65%,"2,212",3,"100,250",380,1.8,37,94%,0.00% +182,Vanuatu,"307,145",2.42%,"7,263",25,"12,190",120,3.8,21,24%,0.00% +183,French Guiana,"298,682",2.70%,"7,850",4,"82,200","1,200",3.4,25,87%,0.00% +184,Barbados,"287,375",0.12%,350,668,430,-79,1.6,40,31%,0.00% +185,New Caledonia,"285,498",0.97%,"2,748",16,"18,280",502,2,34,72%,0.00% +186,French Polynesia,"280,908",0.58%,"1,621",77,"3,660","-1,000",2,34,64%,0.00% +187,Mayotte,"272,815",2.50%,"6,665",728,375,0,3.7,20,46%,0.00% +188,Sao Tome & Principe,"219,159",1.91%,"4,103",228,960,"-1,680",4.4,19,74%,0.00% +189,Samoa,"198,414",0.67%,"1,317",70,"2,830","-2,803",3.9,22,18%,0.00% +190,Saint Lucia,"183,627",0.46%,837,301,610,0,1.4,34,19%,0.00% +191,Channel Islands,"173,863",0.93%,"1,604",915,190,"1,351",1.5,43,30%,0.00% +192,Guam,"168,775",0.89%,"1,481",313,540,-506,2.3,31,95%,0.00% +193,CuraΓ§ao,"164,093",0.41%,669,370,444,515,1.8,42,89%,0.00% +194,Kiribati,"119,449",1.57%,"1,843",147,810,-800,3.6,23,57%,0.00% +195,Grenada,"112,523",0.46%,520,331,340,-200,2.1,32,35%,0.00% +196,St. Vincent & Grenadines,"110,940",0.32%,351,284,390,-200,1.9,33,53%,0.00% +197,Aruba,"106,766",0.43%,452,593,180,201,1.9,41,44%,0.00% +198,Tonga,"105,695",1.15%,"1,201",147,720,-800,3.6,22,24%,0.00% +199,U.S. Virgin Islands,"104,425",-0.15%,-153,298,350,-451,2,43,96%,0.00% +200,Seychelles,"98,347",0.62%,608,214,460,-200,2.5,34,56%,0.00% +201,Antigua and Barbuda,"97,929",0.84%,811,223,440,0,2,34,26%,0.00% +202,Isle of Man,"85,033",0.53%,449,149,570,,N.A.,N.A.,53%,0.00% +203,Andorra,"77,265",0.16%,123,164,470,,N.A.,N.A.,88%,0.00% +204,Dominica,"71,986",0.25%,178,96,750,,N.A.,N.A.,74%,0.00% +205,Cayman Islands,"65,722",1.19%,774,274,240,,N.A.,N.A.,97%,0.00% +206,Bermuda,"62,278",-0.36%,-228,"1,246",50,,N.A.,N.A.,97%,0.00% +207,Marshall Islands,"59,190",0.68%,399,329,180,,N.A.,N.A.,70%,0.00% +208,Northern Mariana Islands,"57,559",0.60%,343,125,460,,N.A.,N.A.,88%,0.00% +209,Greenland,"56,770",0.17%,98,0,"410,450",,N.A.,N.A.,87%,0.00% +210,American Samoa,"55,191",-0.22%,-121,276,200,,N.A.,N.A.,88%,0.00% +211,Saint Kitts & Nevis,"53,199",0.71%,376,205,260,,N.A.,N.A.,33%,0.00% +212,Faeroe Islands,"48,863",0.38%,185,35,"1,396",,N.A.,N.A.,43%,0.00% +213,Sint Maarten,"42,876",1.15%,488,"1,261",34,,N.A.,N.A.,96%,0.00% +214,Monaco,"39,242",0.71%,278,"26,337",1,,N.A.,N.A.,N.A.,0.00% +215,Turks and Caicos,"38,717",1.38%,526,41,950,,N.A.,N.A.,89%,0.00% +216,Saint Martin,"38,666",1.75%,664,730,53,,N.A.,N.A.,0%,0.00% +217,Liechtenstein,"38,128",0.29%,109,238,160,,N.A.,N.A.,15%,0.00% +218,San Marino,"33,931",0.21%,71,566,60,,N.A.,N.A.,97%,0.00% +219,Gibraltar,"33,691",-0.03%,-10,"3,369",10,,N.A.,N.A.,N.A.,0.00% +220,British Virgin Islands,"30,231",0.67%,201,202,150,,N.A.,N.A.,52%,0.00% +221,Caribbean Netherlands,"26,223",0.94%,244,80,328,,N.A.,N.A.,75%,0.00% +222,Palau,"18,094",0.48%,86,39,460,,N.A.,N.A.,N.A.,0.00% +223,Cook Islands,"17,564",0.09%,16,73,240,,N.A.,N.A.,75%,0.00% +224,Anguilla,"15,003",0.90%,134,167,90,,N.A.,N.A.,N.A.,0.00% +225,Tuvalu,"11,792",1.25%,146,393,30,,N.A.,N.A.,62%,0.00% +226,Wallis & Futuna,"11,239",-1.69%,-193,80,140,,N.A.,N.A.,0%,0.00% +227,Nauru,"10,824",0.63%,68,541,20,,N.A.,N.A.,N.A.,0.00% +228,Saint Barthelemy,"9,877",0.30%,30,470,21,,N.A.,N.A.,0%,0.00% +229,Saint Helena,"6,077",0.30%,18,16,390,,N.A.,N.A.,27%,0.00% +230,Saint Pierre & Miquelon,"5,794",-0.48%,-28,25,230,,N.A.,N.A.,100%,0.00% +231,Montserrat,"4,992",0.06%,3,50,100,,N.A.,N.A.,10%,0.00% +232,Falkland Islands,"3,480",3.05%,103,0,"12,170",,N.A.,N.A.,66%,0.00% +233,Niue,"1,626",0.68%,11,6,260,,N.A.,N.A.,46%,0.00% +234,Tokelau,"1,357",1.27%,17,136,10,,N.A.,N.A.,0%,0.00% +235,Holy See,801,0.25%,2,"2,003",0,,N.A.,N.A.,N.A.,0.00% diff --git a/data/world-population-forcast-2020-2050.csv b/data/world-population-forcast-2020-2050.csv new file mode 100644 index 0000000..621e50e --- /dev/null +++ b/data/world-population-forcast-2020-2050.csv @@ -0,0 +1,8 @@ +Year,Population,Yearly %,Yearly,Median,Fertility,Density +2020,"7,794,798,739",1.10%,"83,000,320",31,2.47,52 +2025,"8,184,437,460",0.98%,"77,927,744",32,2.54,55 +2030,"8,548,487,400",0.87%,"72,809,988",33,2.62,57 +2035,"8,887,524,213",0.78%,"67,807,363",34,2.7,60 +2040,"9,198,847,240",0.69%,"62,264,605",35,2.77,62 +2045,"9,481,803,274",0.61%,"56,591,207",35,2.85,64 +2050,"9,735,033,990",0.53%,"50,646,143",36,2.95,65 diff --git a/docs/path1.png b/docs/path1.png new file mode 100644 index 0000000..a94aff4 Binary files /dev/null and b/docs/path1.png differ diff --git a/docs/path2.png b/docs/path2.png new file mode 100644 index 0000000..3b22399 Binary files /dev/null and b/docs/path2.png differ diff --git a/docs/path3.png b/docs/path3.png new file mode 100644 index 0000000..557256d Binary files /dev/null and b/docs/path3.png differ diff --git a/docs/path4.png b/docs/path4.png new file mode 100644 index 0000000..4f65865 Binary files /dev/null and b/docs/path4.png differ diff --git a/lec1.ipynb b/lec1.ipynb new file mode 100644 index 0000000..b1c12bc --- /dev/null +++ b/lec1.ipynb @@ -0,0 +1,737 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π Π°Π±ΠΎΡ‚Π° с NumPy" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "matrix = \n", + " [[4 5 0]\n", + " [9 9 9]] \n", + "\n", + "tmatrix = \n", + " [[4 9]\n", + " [5 9]\n", + " [0 9]] \n", + "\n", + "vector = \n", + " [4 5 0 9 9 9] \n", + "\n", + "tvector = \n", + " [[4]\n", + " [5]\n", + " [0]\n", + " [9]\n", + " [9]\n", + " [9]] \n", + "\n", + "list_matrix = \n", + " [array([4, 5, 0]), array([9, 9, 9])] \n", + "\n", + "matrix as str = \n", + " [[4 5 0]\n", + " [9 9 9]] \n", + "\n", + "matrix type is \n", + "\n", + "vector type is \n", + "\n", + "list_matrix type is \n", + "\n", + "str_matrix type is \n", + "\n", + "formatted_vector = \n", + " 4; 5; 0; 9; 9; 9 \n", + "\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "matrix = np.array([[4, 5, 0], [9, 9, 9]])\n", + "print(\"matrix = \\n\", matrix, \"\\n\")\n", + "\n", + "tmatrix = matrix.T\n", + "print(\"tmatrix = \\n\", tmatrix, \"\\n\")\n", + "\n", + "vector = np.ravel(matrix)\n", + "print(\"vector = \\n\", vector, \"\\n\")\n", + "\n", + "tvector = np.reshape(vector, (6, 1))\n", + "print(\"tvector = \\n\", tvector, \"\\n\")\n", + "\n", + "list_matrix = list(matrix)\n", + "print(\"list_matrix = \\n\", list_matrix, \"\\n\")\n", + "\n", + "str_matrix = str(matrix)\n", + "print(\"matrix as str = \\n\", str_matrix, \"\\n\")\n", + "\n", + "print(\"matrix type is\", type(matrix), \"\\n\")\n", + "\n", + "print(\"vector type is\", type(vector), \"\\n\")\n", + "\n", + "print(\"list_matrix type is\", type(list_matrix), \"\\n\")\n", + "\n", + "print(\"str_matrix type is\", type(str_matrix), \"\\n\")\n", + "\n", + "formatted_vector = \"; \".join(map(str, vector))\n", + "print(\"formatted_vector = \\n\", formatted_vector, \"\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π Π°Π±ΠΎΡ‚Π° с Pandas DataFrame\n", + "\n", + "https://pandas.pydata.org/docs/user_guide/10min.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π Π°Π±ΠΎΡ‚Π° с Π΄Π°Π½Π½Ρ‹ΠΌΠΈ - Ρ‡Ρ‚Π΅Π½ΠΈΠ΅ ΠΈ запись CSV" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "df = pd.read_csv(\"data/world-population-by-country-2020.csv\", index_col=\"no\")\n", + "\n", + "df.to_csv(\"test.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π Π°Π±ΠΎΡ‚Π° с Π΄Π°Π½Π½Ρ‹ΠΌΠΈ - основныС ΠΊΠΎΠΌΠ°Π½Π΄Ρ‹" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Country (or dependency) Population 2020 Yearly Change Net Change\n", + "no \n", + "1 China 1439323776 0.39 5540090\n", + "2 India 1380004385 0.99 13586631\n", + "3 United States 331002651 0.59 1937734\n", + "4 Indonesia 273523615 1.07 2898047\n", + "5 Pakistan 220892340 2.00 4327022\n", + " Country (or dependency) Population 2020 Yearly Change Net Change\n", + "no \n", + "231 Montserrat 4992 0.06 3\n", + "232 Falkland Islands 3480 3.05 103\n", + "233 Niue 1626 0.68 11\n", + "234 Tokelau 1357 1.27 17\n", + "235 Holy See 801 0.25 2\n" + ] + } + ], + "source": [ + "# df.info()\n", + "\n", + "# print(df.describe().transpose())\n", + "\n", + "from click import clear\n", + "\n", + "\n", + "cleared_df = df.drop(\n", + " df.columns.difference([\n", + " \"Country (or dependency)\", \"Population 2020\", \"Yearly Change\", \"Net Change\"\n", + " ]\n", + " ),\n", + " axis=1,\n", + ")\n", + "# print(cleared_df.head())\n", + "# print(cleared_df.tail())\n", + "cleared_df['Population 2020'] = cleared_df['Population 2020'].apply(\n", + " lambda x: int(\"\".join(x.split(\",\")))\n", + ")\n", + "cleared_df[\"Net Change\"] = cleared_df[\"Net Change\"].apply(\n", + " lambda x: int(\"\".join(x.split(\",\")))\n", + ")\n", + "cleared_df[\"Yearly Change\"] = cleared_df[\"Yearly Change\"].apply(\n", + " lambda x: float(\"\".join(x.rstrip('%')))\n", + ")\n", + "\n", + "sorted_df = cleared_df.sort_values(\n", + " [\"Population 2020\", \"Net Change\", \"Country (or dependency)\"], ascending=[False, False, True]\n", + ")\n", + "print(sorted_df.head())\n", + "print(sorted_df.tail())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π Π°Π±ΠΎΡ‚Π° с Π΄Π°Π½Π½Ρ‹ΠΌΠΈ - Ρ€Π°Π±ΠΎΡ‚Π° с элСмСнтами" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "no\n", + "1 China\n", + "2 India\n", + "3 United States\n", + "4 Indonesia\n", + "5 Pakistan\n", + " ... \n", + "231 Montserrat\n", + "232 Falkland Islands\n", + "233 Niue\n", + "234 Tokelau\n", + "235 Holy See\n", + "Name: Country (or dependency), Length: 235, dtype: object\n", + "Country (or dependency) Israel\n", + "Population 2020 8,655,535\n", + "Yearly Change 1.60%\n", + "Net Change 136,158\n", + "Density (P/KmΒ²) 400\n", + "Land Area (KmΒ²) 21,640\n", + "Migrants (net) 10,000\n", + "Fert. Rate 3\n", + "Med. Age 30\n", + "Urban Pop % 93%\n", + "World Share 0.11%\n", + "Name: 100, dtype: object\n", + "Israel\n", + " Country (or dependency) Population 2020\n", + "no \n", + "100 Israel 8,655,535\n", + "101 Switzerland 8,654,622\n", + "102 Togo 8,278,724\n", + "103 Sierra Leone 7,976,983\n", + "104 Hong Kong 7,496,981\n", + ".. ... ...\n", + "196 St. Vincent & Grenadines 110,940\n", + "197 Aruba 106,766\n", + "198 Tonga 105,695\n", + "199 U.S. Virgin Islands 104,425\n", + "200 Seychelles 98,347\n", + "\n", + "[101 rows x 2 columns]\n", + " Country (or dependency) Population 2020 Yearly Change Net Change \\\n", + "no \n", + "1 China 1,439,323,776 0.39% 5,540,090 \n", + "2 India 1,380,004,385 0.99% 13,586,631 \n", + "3 United States 331,002,651 0.59% 1,937,734 \n", + "\n", + " Density (P/KmΒ²) Land Area (KmΒ²) Migrants (net) Fert. Rate Med. Age \\\n", + "no \n", + "1 153 9,388,211 -348,399 1.7 38 \n", + "2 464 2,973,190 -532,687 2.2 28 \n", + "3 36 9,147,420 954,806 1.8 38 \n", + "\n", + " Urban Pop % World Share \n", + "no \n", + "1 61% 18.47% \n", + "2 35% 17.70% \n", + "3 83% 4.25% \n", + "Country (or dependency) China\n", + "Population 2020 1,439,323,776\n", + "Yearly Change 0.39%\n", + "Net Change 5,540,090\n", + "Density (P/KmΒ²) 153\n", + "Land Area (KmΒ²) 9,388,211\n", + "Migrants (net) -348,399\n", + "Fert. Rate 1.7\n", + "Med. Age 38\n", + "Urban Pop % 61%\n", + "World Share 18.47%\n", + "Name: 1, dtype: object\n", + " Country (or dependency) Population 2020\n", + "no \n", + "3 United States 331,002,651\n", + "4 Indonesia 273,523,615\n", + "5 Pakistan 220,892,340\n", + " Country (or dependency) Yearly Change\n", + "no \n", + "4 Indonesia 1.07%\n", + "5 Pakistan 2.00%\n" + ] + } + ], + "source": [ + "print(df[\"Country (or dependency)\"])\n", + "\n", + "print(df.loc[100])\n", + "\n", + "print(df.loc[100, \"Country (or dependency)\"])\n", + "\n", + "print(df.loc[100:200, [\"Country (or dependency)\", \"Population 2020\"]])\n", + "\n", + "print(df[0:3])\n", + "\n", + "print(df.iloc[0])\n", + "\n", + "print(df.iloc[2:5, 0:2])\n", + "\n", + "print(df.iloc[[3, 4], [0, 2]])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π Π°Π±ΠΎΡ‚Π° с Π΄Π°Π½Π½Ρ‹ΠΌΠΈ - ΠΎΡ‚Π±ΠΎΡ€ ΠΈ Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠ°" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Population 2020 Yearly Change Net Change \\\n", + "Country (or dependency) \n", + "China 1439323776 0.39 5540090 \n", + "India 1380004385 0.99 13586631 \n", + "United States 331002651 0.59 1937734 \n", + "Indonesia 273523615 1.07 2898047 \n", + "Pakistan 220892340 2.00 4327022 \n", + "... ... ... ... \n", + "Montserrat 4992 0.06 3 \n", + "Falkland Islands 3480 3.05 103 \n", + "Niue 1626 0.68 11 \n", + "Tokelau 1357 1.27 17 \n", + "Holy See 801 0.25 2 \n", + "\n", + " Capital Continent \n", + "Country (or dependency) \n", + "China Beijing Asia \n", + "India New Delhi Asia \n", + "United States Washington, D.C. North America \n", + "Indonesia Jakarta Asia \n", + "Pakistan Islamabad Asia \n", + "... ... ... \n", + "Montserrat Brades North America \n", + "Falkland Islands Stanley South America \n", + "Niue Alofi Oceania \n", + "Tokelau Nukunonu Oceania \n", + "Holy See NaN NaN \n", + "\n", + "[235 rows x 5 columns]\n" + ] + } + ], + "source": [ + "# s_values = df[\"Sex\"].unique()\n", + "# print(s_values)\n", + "df2 = pd.read_csv(\n", + " \"data/countries-continents-capitals.csv\", index_col=\"Country/Territory\",\n", + " encoding = \"ISO-8859-1\"\n", + ")\n", + "\n", + "\n", + "# for s_value in s_values:\n", + "\n", + "\n", + "# count = df[df[\"Sex\"] == s_value].shape[0]\n", + "\n", + "\n", + "# s_total += count\n", + "\n", + "\n", + "# print(s_value, \"count =\", count)\n", + "\n", + "\n", + "# print(\"Total count = \", s_total)\n", + "\n", + "extended_df = cleared_df.set_index(\"Country (or dependency)\").join(\n", + " df2\n", + ")\n", + "print(extended_df)\n", + "\n", + "\n", + "# print(extended_df.groupby([\"Continent\"]).agg({\"population\" : [\"sum\"]}))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализация - Π˜ΡΡ…ΠΎΠ΄Π½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Population 2020 Yearly Change Continent\n", + "Country (or dependency) \n", + "China 1439323776 0.39 Asia\n", + "India 1380004385 0.99 Asia\n", + "United States 331002651 0.59 North America\n", + "Indonesia 273523615 1.07 Asia\n", + "Pakistan 220892340 2.00 Asia\n", + "... ... ... ...\n", + "Montserrat 4992 0.06 North America\n", + "Falkland Islands 3480 3.05 South America\n", + "Niue 1626 0.68 Oceania\n", + "Tokelau 1357 1.27 Oceania\n", + "Holy See 801 0.25 NaN\n", + "\n", + "[235 rows x 3 columns]\n" + ] + } + ], + "source": [ + "data = extended_df[[\"Population 2020\", \"Yearly Change\", \"Continent\"]].copy()\n", + "data.dropna(subset=[\"Population 2020\"], inplace=True)\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализация - Π‘Π²ΠΎΠ΄ΠΊΠ° пяти чисСл\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Population 2020 \\\n", + " min q1 q2 median \n", + "Continent \n", + "Africa 98347 2509845.75 13042506.5 13042506.5 \n", + "Asia 437479 5985985.50 18138682.5 18138682.5 \n", + "Europe 33691 1326535.00 5459642.0 5459642.0 \n", + "North America 4992 67288.00 395436.0 395436.0 \n", + "Oceania 1357 27368.25 144112.0 144112.0 \n", + "South America 3480 1458346.50 14658037.5 14658037.5 \n", + "\n", + " \n", + " q3 max \n", + "Continent \n", + "Africa 31118563.75 206139589 \n", + "Asia 52054338.75 1439323776 \n", + "Europe 10423054.00 145934462 \n", + "North America 6589966.75 331002651 \n", + "Oceania 488471.75 25499884 \n", + "South America 31837875.50 212559417 \n", + " Population 2020 \n", + " low_iqr iqr high_iqr\n", + "Continent \n", + "Africa 0 28608718.00 7.403164e+07\n", + "Asia 0 46068353.25 1.211569e+08\n", + "Europe 0 9096519.00 2.406783e+07\n", + "North America 0 6522678.75 1.637398e+07\n", + "Oceania 0 461103.50 1.180127e+06\n", + "South America 0 30379529.00 7.740717e+07\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def q1(x):\n", + " return x.quantile(0.25)\n", + "\n", + "\n", + "# median = quantile(0.5)\n", + "def q2(x):\n", + " return x.quantile(0.5)\n", + "\n", + "\n", + "def q3(x):\n", + " return x.quantile(0.75)\n", + "\n", + "\n", + "def iqr(x):\n", + " return q3(x) - q1(x)\n", + "\n", + "\n", + "def low_iqr(x):\n", + " return max(0, q1(x) - 1.5 * iqr(x))\n", + "\n", + "\n", + "def high_iqr(x):\n", + " return q3(x) + 1.5 * iqr(x)\n", + "\n", + "\n", + "quantiles = (\n", + " data[[\"Continent\", \"Population 2020\"]]\n", + " .groupby([\"Continent\"])\n", + " .aggregate([\"min\", q1, q2, \"median\", q3, \"max\"])\n", + ")\n", + "print(quantiles)\n", + "\n", + "iqrs = (\n", + " data[[\"Continent\", \"Population 2020\"]]\n", + " .groupby([\"Continent\"])\n", + " .aggregate([low_iqr, iqr, high_iqr])\n", + ")\n", + "print(iqrs)\n", + "\n", + "data.boxplot(column=\"Population 2020\", by=\"Continent\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализация - Гистограмма" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.plot.hist(column=[\"Population 2020\"], bins=80)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализация - ВочСчная Π΄ΠΈΠ°Π³Ρ€Π°ΠΌΠΌΠ°" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Country (or dependency) Population 2020 Yearly Change Net Change\n", + "no \n", + "1 China 1439323776 0.39 5540090\n", + "2 India 1380004385 0.99 13586631\n", + "3 United States 331002651 0.59 1937734\n", + "4 Indonesia 273523615 1.07 2898047\n", + "5 Pakistan 220892340 2.00 4327022\n", + ".. ... ... ... ...\n", + "231 Montserrat 4992 0.06 3\n", + "232 Falkland Islands 3480 3.05 103\n", + "233 Niue 1626 0.68 11\n", + "234 Tokelau 1357 1.27 17\n", + "235 Holy See 801 0.25 2\n", + "\n", + "[235 rows x 4 columns]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(cleared_df)\n", + "cleared_df.head(5).plot.scatter(x=\"Country (or dependency)\", y=\"Population 2020\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализация - Бтолбчатая Π΄ΠΈΠ°Π³Ρ€Π°ΠΌΠΌΠ°" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# plot = data.groupby([\"Pclass\", \"Survived\"]).size().unstack().plot.bar(color=[\"pink\", \"green\"])\n", + "# plot.legend([\"Not survived\", \"Survived\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализация - Π’Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅ ряды" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Year Population Yearly % Yearly Median Fertility Density\n", + "0 2020 7,794,798,739 1.10% 83,000,320 31 2.47 52\n", + "1 2025 8,184,437,460 0.98% 77,927,744 32 2.54 55\n", + "2 2030 8,548,487,400 0.87% 72,809,988 33 2.62 57\n", + "3 2035 8,887,524,213 0.78% 67,807,363 34 2.70 60\n", + "4 2040 9,198,847,240 0.69% 62,264,605 35 2.77 62\n", + "5 2045 9,481,803,274 0.61% 56,591,207 35 2.85 64\n", + "6 2050 9,735,033,990 0.53% 50,646,143 36 2.95 65\n", + "\n", + "RangeIndex: 7 entries, 0 to 6\n", + "Data columns (total 7 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Year 7 non-null int64 \n", + " 1 Population 7 non-null object \n", + " 2 Yearly % 7 non-null object \n", + " 3 Yearly 7 non-null object \n", + " 4 Median 7 non-null int64 \n", + " 5 Fertility 7 non-null float64\n", + " 6 Density 7 non-null int64 \n", + "dtypes: float64(1), int64(3), object(3)\n", + "memory usage: 524.0+ bytes\n", + "['Year' 'Population' 'Yearly %' 'Yearly' 'Median' 'Fertility' 'Density']\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from datetime import datetime\n", + "import matplotlib.dates as md\n", + "\n", + "ts = pd.read_csv(\"data/world-population-forcast-2020-2050.csv\", encoding=\"ISO-8859-1\")\n", + "print(ts)\n", + "ts.iloc[:, 1] = ts.iloc[:, 1].apply(lambda row: int(\"\".join(str(row).split(\",\"))))\n", + "ts.info()\n", + "\n", + "print(ts.columns.values)\n", + "plot = ts.plot.line(x=\"Year\", y=\"Population\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lec2.ipynb b/lec2.ipynb new file mode 100644 index 0000000..4ba7802 --- /dev/null +++ b/lec2.ipynb @@ -0,0 +1,1085 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π—Π°Π³Ρ€ΡƒΠ·ΠΊΠ° Π΄Π°Π½Π½Ρ‹Ρ… Π² DataFrame" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 891 entries, 1 to 891\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Survived 891 non-null int64 \n", + " 1 Pclass 891 non-null int64 \n", + " 2 Name 891 non-null object \n", + " 3 Sex 891 non-null object \n", + " 4 Age 714 non-null float64\n", + " 5 SibSp 891 non-null int64 \n", + " 6 Parch 891 non-null int64 \n", + " 7 Ticket 891 non-null object \n", + " 8 Fare 891 non-null float64\n", + " 9 Cabin 204 non-null object \n", + " 10 Embarked 889 non-null object \n", + "dtypes: float64(2), int64(4), object(5)\n", + "memory usage: 83.5+ KB\n", + "(891, 11)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
PassengerId
103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", + "
" + ], + "text/plain": [ + " Survived Pclass \\\n", + "PassengerId \n", + "1 0 3 \n", + "2 1 1 \n", + "3 1 3 \n", + "4 1 1 \n", + "5 0 3 \n", + "\n", + " Name Sex Age \\\n", + "PassengerId \n", + "1 Braund, Mr. Owen Harris male 22.0 \n", + "2 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 \n", + "3 Heikkinen, Miss. Laina female 26.0 \n", + "4 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 \n", + "5 Allen, Mr. William Henry male 35.0 \n", + "\n", + " SibSp Parch Ticket Fare Cabin Embarked \n", + "PassengerId \n", + "1 1 0 A/5 21171 7.2500 NaN S \n", + "2 1 0 PC 17599 71.2833 C85 C \n", + "3 0 0 STON/O2. 3101282 7.9250 NaN S \n", + "4 1 0 113803 53.1000 C123 S \n", + "5 0 0 373450 8.0500 NaN S " + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "df = pd.read_csv(\"data/titanic.csv\", index_col=\"PassengerId\")\n", + "\n", + "df.info()\n", + "\n", + "print(df.shape)\n", + "\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½ΠΈΠ΅ свСдСний ΠΎ ΠΏΡ€ΠΎΠΏΡƒΡ‰Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ…" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π’ΠΈΠΏΡ‹ ΠΏΡ€ΠΎΠΏΡƒΡ‰Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ…:\n", + "- None - прСдставлСниС пустых Π΄Π°Π½Π½Ρ‹Ρ… Π² Python\n", + "- NaN - прСдставлСниС пустых Π΄Π°Π½Π½Ρ‹Ρ… Π² Pandas\n", + "- '' - пустая строка" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Survived 0\n", + "Pclass 0\n", + "Name 0\n", + "Sex 0\n", + "Age 177\n", + "SibSp 0\n", + "Parch 0\n", + "Ticket 0\n", + "Fare 0\n", + "Cabin 687\n", + "Embarked 2\n", + "dtype: int64\n", + "\n", + "Survived False\n", + "Pclass False\n", + "Name False\n", + "Sex False\n", + "Age True\n", + "SibSp False\n", + "Parch False\n", + "Ticket False\n", + "Fare False\n", + "Cabin True\n", + "Embarked True\n", + "dtype: bool\n", + "\n", + "Age ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚ пустых Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ: %19.87\n", + "Cabin ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚ пустых Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ: %77.10\n", + "Embarked ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚ пустых Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ: %0.22\n" + ] + } + ], + "source": [ + "# ΠšΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²ΠΎ пустых Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ²\n", + "print(df.isnull().sum())\n", + "\n", + "print()\n", + "\n", + "# Π•ΡΡ‚ΡŒ Π»ΠΈ пустыС значСния ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ²\n", + "print(df.isnull().any())\n", + "\n", + "print()\n", + "\n", + "# ΠŸΡ€ΠΎΡ†Π΅Π½Ρ‚ пустых Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ²\n", + "for i in df.columns:\n", + " null_rate = df[i].isnull().sum() / len(df) * 100\n", + " if null_rate > 0:\n", + " print(f\"{i} ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚ пустых Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ: %{null_rate:.2f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π—Π°ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠΏΡƒΡ‰Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ…\n", + "\n", + "https://pythonmldaily.com/posts/pandas-dataframes-search-drop-empty-values\n", + "\n", + "https://scales.arabpsychology.com/stats/how-to-fill-nan-values-with-median-in-pandas/" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(891, 11)\n", + "Survived False\n", + "Pclass False\n", + "Name False\n", + "Sex False\n", + "Age False\n", + "SibSp False\n", + "Parch False\n", + "Ticket False\n", + "Fare False\n", + "Cabin False\n", + "Embarked False\n", + "dtype: bool\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedAgeFillNAAgeFillMedian
PassengerId
88702Montvila, Rev. Juozasmale27.00021153613.00NaNS27.027.0
88811Graham, Miss. Margaret Edithfemale19.00011205330.00B42S19.019.0
88903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.45NaNS0.028.0
89011Behr, Mr. Karl Howellmale26.00011136930.00C148C26.026.0
89103Dooley, Mr. Patrickmale32.0003703767.75NaNQ32.032.0
\n", + "
" + ], + "text/plain": [ + " Survived Pclass Name \\\n", + "PassengerId \n", + "887 0 2 Montvila, Rev. Juozas \n", + "888 1 1 Graham, Miss. Margaret Edith \n", + "889 0 3 Johnston, Miss. Catherine Helen \"Carrie\" \n", + "890 1 1 Behr, Mr. Karl Howell \n", + "891 0 3 Dooley, Mr. Patrick \n", + "\n", + " Sex Age SibSp Parch Ticket Fare Cabin Embarked \\\n", + "PassengerId \n", + "887 male 27.0 0 0 211536 13.00 NaN S \n", + "888 female 19.0 0 0 112053 30.00 B42 S \n", + "889 female NaN 1 2 W./C. 6607 23.45 NaN S \n", + "890 male 26.0 0 0 111369 30.00 C148 C \n", + "891 male 32.0 0 0 370376 7.75 NaN Q \n", + "\n", + " AgeFillNA AgeFillMedian \n", + "PassengerId \n", + "887 27.0 27.0 \n", + "888 19.0 19.0 \n", + "889 0.0 28.0 \n", + "890 26.0 26.0 \n", + "891 32.0 32.0 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fillna_df = df.fillna(0)\n", + "\n", + "print(fillna_df.shape)\n", + "\n", + "print(fillna_df.isnull().any())\n", + "\n", + "# Π—Π°ΠΌΠ΅Π½Π° пустых Π΄Π°Π½Π½Ρ‹Ρ… Π½Π° 0\n", + "df[\"AgeFillNA\"] = df[\"Age\"].fillna(0)\n", + "\n", + "# Π—Π°ΠΌΠ΅Π½Π° пустых Π΄Π°Π½Π½Ρ‹Ρ… Π½Π° ΠΌΠ΅Π΄ΠΈΠ°Π½Ρƒ\n", + "df[\"AgeFillMedian\"] = df[\"Age\"].fillna(df[\"Age\"].median())\n", + "\n", + "df.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedAgeFillNAAgeFillMedianAgeCopy
PassengerId
88702Montvila, Rev. Juozasmale27.00021153613.00NaNS27.027.027.0
88811Graham, Miss. Margaret Edithfemale19.00011205330.00B42S19.019.019.0
88903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.45NaNS0.028.00.0
89011Behr, Mr. Karl Howellmale26.00011136930.00C148C26.026.026.0
89103Dooley, Mr. Patrickmale32.0003703767.75NaNQ32.032.032.0
\n", + "
" + ], + "text/plain": [ + " Survived Pclass Name \\\n", + "PassengerId \n", + "887 0 2 Montvila, Rev. Juozas \n", + "888 1 1 Graham, Miss. Margaret Edith \n", + "889 0 3 Johnston, Miss. Catherine Helen \"Carrie\" \n", + "890 1 1 Behr, Mr. Karl Howell \n", + "891 0 3 Dooley, Mr. Patrick \n", + "\n", + " Sex Age SibSp Parch Ticket Fare Cabin Embarked \\\n", + "PassengerId \n", + "887 male 27.0 0 0 211536 13.00 NaN S \n", + "888 female 19.0 0 0 112053 30.00 B42 S \n", + "889 female NaN 1 2 W./C. 6607 23.45 NaN S \n", + "890 male 26.0 0 0 111369 30.00 C148 C \n", + "891 male 32.0 0 0 370376 7.75 NaN Q \n", + "\n", + " AgeFillNA AgeFillMedian AgeCopy \n", + "PassengerId \n", + "887 27.0 27.0 27.0 \n", + "888 19.0 19.0 19.0 \n", + "889 0.0 28.0 0.0 \n", + "890 26.0 26.0 26.0 \n", + "891 32.0 32.0 32.0 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"AgeCopy\"] = df[\"Age\"]\n", + "\n", + "# Π—Π°ΠΌΠ΅Π½Π° Π΄Π°Π½Π½Ρ‹Ρ… сразу Π² DataFrame Π±Π΅Π· копирования\n", + "df.fillna({\"AgeCopy\": 0}, inplace=True)\n", + "\n", + "df.tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π£Π΄Π°Π»Π΅Π½ΠΈΠ΅ наблюдСний с пропусками" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(183, 14)\n", + "Survived False\n", + "Pclass False\n", + "Name False\n", + "Sex False\n", + "Age False\n", + "SibSp False\n", + "Parch False\n", + "Ticket False\n", + "Fare False\n", + "Cabin False\n", + "Embarked False\n", + "dtype: bool\n" + ] + } + ], + "source": [ + "dropna_df = df.dropna()\n", + "\n", + "print(dropna_df.shape)\n", + "\n", + "print(fillna_df.isnull().any())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π‘ΠΎΠ·Π΄Π°Π½ΠΈΠ΅ Π²Ρ‹Π±ΠΎΡ€ΠΎΠΊ Π΄Π°Π½Π½Ρ‹Ρ…\n", + "\n", + "Π‘ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ° scikit-learn\n", + "\n", + "https://scikit-learn.org/stable/index.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Ѐункция для создания Π²Ρ‹Π±ΠΎΡ€ΠΎΠΊ\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "\n", + "def split_stratified_into_train_val_test(\n", + " df_input,\n", + " stratify_colname=\"y\",\n", + " frac_train=0.6,\n", + " frac_val=0.15,\n", + " frac_test=0.25,\n", + " random_state=None,\n", + "):\n", + " \"\"\"\n", + " Splits a Pandas dataframe into three subsets (train, val, and test)\n", + " following fractional ratios provided by the user, where each subset is\n", + " stratified by the values in a specific column (that is, each subset has\n", + " the same relative frequency of the values in the column). It performs this\n", + " splitting by running train_test_split() twice.\n", + "\n", + " Parameters\n", + " ----------\n", + " df_input : Pandas dataframe\n", + " Input dataframe to be split.\n", + " stratify_colname : str\n", + " The name of the column that will be used for stratification. Usually\n", + " this column would be for the label.\n", + " frac_train : float\n", + " frac_val : float\n", + " frac_test : float\n", + " The ratios with which the dataframe will be split into train, val, and\n", + " test data. The values should be expressed as float fractions and should\n", + " sum to 1.0.\n", + " random_state : int, None, or RandomStateInstance\n", + " Value to be passed to train_test_split().\n", + "\n", + " Returns\n", + " -------\n", + " df_train, df_val, df_test :\n", + " Dataframes containing the three splits.\n", + " \"\"\"\n", + "\n", + " if frac_train + frac_val + frac_test != 1.0:\n", + " raise ValueError(\n", + " \"fractions %f, %f, %f do not add up to 1.0\"\n", + " % (frac_train, frac_val, frac_test)\n", + " )\n", + "\n", + " if stratify_colname not in df_input.columns:\n", + " raise ValueError(\"%s is not a column in the dataframe\" % (stratify_colname))\n", + "\n", + " X = df_input # Contains all columns.\n", + " y = df_input[\n", + " [stratify_colname]\n", + " ] # Dataframe of just the column on which to stratify.\n", + "\n", + " # Split original dataframe into train and temp dataframes.\n", + " df_train, df_temp, y_train, y_temp = train_test_split(\n", + " X, y, stratify=y, test_size=(1.0 - frac_train), random_state=random_state\n", + " )\n", + "\n", + " # Split the temp dataframe into val and test dataframes.\n", + " relative_frac_test = frac_test / (frac_val + frac_test)\n", + " df_val, df_test, y_val, y_test = train_test_split(\n", + " df_temp,\n", + " y_temp,\n", + " stratify=y_temp,\n", + " test_size=relative_frac_test,\n", + " random_state=random_state,\n", + " )\n", + "\n", + " assert len(df_input) == len(df_train) + len(df_val) + len(df_test)\n", + "\n", + " return df_train, df_val, df_test" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pclass\n", + "3 491\n", + "1 216\n", + "2 184\n", + "Name: count, dtype: int64\n", + "ΠžΠ±ΡƒΡ‡Π°ΡŽΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: (534, 3)\n", + "Pclass\n", + "3 294\n", + "1 130\n", + "2 110\n", + "Name: count, dtype: int64\n", + "ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: (178, 3)\n", + "Pclass\n", + "3 98\n", + "1 43\n", + "2 37\n", + "Name: count, dtype: int64\n", + "ВСстовая Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: (179, 3)\n", + "Pclass\n", + "3 99\n", + "1 43\n", + "2 37\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "# Π’Ρ‹Π²ΠΎΠ΄ распрСдСлСния количСства наблюдСний ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΊΠ°ΠΌ (классам)\n", + "print(df.Pclass.value_counts())\n", + "\n", + "data = df[[\"Pclass\", \"Survived\", \"AgeFillMedian\"]].copy()\n", + "\n", + "df_train, df_val, df_test = split_stratified_into_train_val_test(\n", + " data, stratify_colname=\"Pclass\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n", + ")\n", + "\n", + "print(\"ΠžΠ±ΡƒΡ‡Π°ΡŽΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: \", df_train.shape)\n", + "print(df_train.Pclass.value_counts())\n", + "\n", + "print(\"ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: \", df_val.shape)\n", + "print(df_val.Pclass.value_counts())\n", + "\n", + "print(\"ВСстовая Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: \", df_test.shape)\n", + "print(df_test.Pclass.value_counts())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Π’Ρ‹Π±ΠΎΡ€ΠΊΠ° с ΠΈΠ·Π±Ρ‹Ρ‚ΠΊΠΎΠΌ (oversampling)\n", + "\n", + "https://www.blog.trainindata.com/oversampling-techniques-for-imbalanced-data/\n", + "\n", + "https://datacrayon.com/machine-learning/class-imbalance-and-oversampling/\n", + "\n", + "Π’Ρ‹Π±ΠΎΡ€ΠΊΠ° с нСдостатком (undersampling)\n", + "\n", + "https://machinelearningmastery.com/random-oversampling-and-undersampling-for-imbalanced-classification/\n", + "\n", + "Π‘ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ° imbalanced-learn\n", + "\n", + "https://imbalanced-learn.org/stable/" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ΠžΠ±ΡƒΡ‡Π°ΡŽΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: (534, 3)\n", + "Pclass\n", + "3 294\n", + "1 130\n", + "2 110\n", + "Name: count, dtype: int64\n", + "ΠžΠ±ΡƒΡ‡Π°ΡŽΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ° послС oversampling: (864, 3)\n", + "Pclass\n", + "3 294\n", + "2 290\n", + "1 280\n", + "Name: count, dtype: int64\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PclassSurvivedAgeFillMedian
03028.000000
13032.000000
23128.000000
31045.000000
4307.000000
............
8592026.887761
860210.890459
8612017.481437
8622017.078473
8632117.220445
\n", + "

864 rows Γ— 3 columns

\n", + "
" + ], + "text/plain": [ + " Pclass Survived AgeFillMedian\n", + "0 3 0 28.000000\n", + "1 3 0 32.000000\n", + "2 3 1 28.000000\n", + "3 1 0 45.000000\n", + "4 3 0 7.000000\n", + ".. ... ... ...\n", + "859 2 0 26.887761\n", + "860 2 1 0.890459\n", + "861 2 0 17.481437\n", + "862 2 0 17.078473\n", + "863 2 1 17.220445\n", + "\n", + "[864 rows x 3 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from imblearn.over_sampling import ADASYN\n", + "\n", + "ada = ADASYN()\n", + "\n", + "print(\"ΠžΠ±ΡƒΡ‡Π°ΡŽΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ°: \", df_train.shape)\n", + "print(df_train.Pclass.value_counts())\n", + "\n", + "X_resampled, y_resampled = ada.fit_resample(df_train, df_train[\"Pclass\"])\n", + "df_train_adasyn = pd.DataFrame(X_resampled)\n", + "\n", + "print(\"ΠžΠ±ΡƒΡ‡Π°ΡŽΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ° послС oversampling: \", df_train_adasyn.shape)\n", + "print(df_train_adasyn.Pclass.value_counts())\n", + "\n", + "df_train_adasyn" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/mai b/mai deleted file mode 160000 index 28c17ca..0000000 --- a/mai +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 28c17ca62774e3c8666acecf0a6c83e24b27d67f diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..3899a43 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,3116 @@ +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. + +[[package]] +name = "anyio" +version = "4.4.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.8" +files = [ + {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, + {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, +] + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (>=0.23)"] + +[[package]] +name = "apiflask" +version = "2.2.0" +description = "A lightweight web API framework based on Flask and marshmallow-code projects." +optional = false +python-versions = "*" +files = [ + {file = "APIFlask-2.2.0-py3-none-any.whl", hash = "sha256:dd0dc111538c7f284c09a01d90aaf04f1e716ba116886d5a3aa5b1ffa4cce2f4"}, + {file = "apiflask-2.2.0.tar.gz", hash = "sha256:17fc4d4e852a483c51e4c98f158113f00b41258de22ae323397766bd99335206"}, +] + +[package.dependencies] +apispec = ">=6" +flask = ">=2" +flask-httpauth = ">=4" +flask-marshmallow = ">=1.0.0" +marshmallow = ">=3.20" +webargs = ">=8.3" + +[package.extras] +async = ["asgiref (>=3.2)"] +dotenv = ["python-dotenv"] +yaml = ["pyyaml"] + +[[package]] +name = "apispec" +version = "6.6.1" +description = "A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)." +optional = false +python-versions = ">=3.8" +files = [ + {file = "apispec-6.6.1-py3-none-any.whl", hash = "sha256:6460315cb38ac6a2ff42d9e2b8dc0435c37d4428d3abeda96ff97b5dc8eb6b94"}, + {file = "apispec-6.6.1.tar.gz", hash = "sha256:f5caa47cee75fe03b9c50b5594048b4c052eeca2c212e0dac12dbb6175d9a659"}, +] + +[package.dependencies] +packaging = ">=21.3" + +[package.extras] +dev = ["apispec[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["apispec[marshmallow]", "pyyaml (==6.0.1)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-rtd-theme (==2.0.0)"] +marshmallow = ["marshmallow (>=3.18.0)"] +tests = ["apispec[marshmallow,yaml]", "openapi-spec-validator (==0.7.1)", "pytest"] +yaml = ["PyYAML (>=3.10)"] + +[[package]] +name = "appnope" +version = "0.1.4" +description = "Disable App Nap on macOS >= 10.9" +optional = false +python-versions = ">=3.6" +files = [ + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, +] + +[[package]] +name = "argon2-cffi" +version = "23.1.0" +description = "Argon2 for Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"}, + {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"}, +] + +[package.dependencies] +argon2-cffi-bindings = "*" + +[package.extras] +dev = ["argon2-cffi[tests,typing]", "tox (>4)"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"] +tests = ["hypothesis", "pytest"] +typing = ["mypy"] + +[[package]] +name = "argon2-cffi-bindings" +version = "21.2.0" +description = "Low-level CFFI bindings for Argon2" +optional = false +python-versions = ">=3.6" +files = [ + {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"}, + {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"}, +] + +[package.dependencies] +cffi = ">=1.0.1" + +[package.extras] +dev = ["cogapp", "pre-commit", "pytest", "wheel"] +tests = ["pytest"] + +[[package]] +name = "arrow" +version = "1.3.0" +description = "Better dates & times for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, + {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, +] + +[package.dependencies] +python-dateutil = ">=2.7.0" +types-python-dateutil = ">=2.8.10" + +[package.extras] +doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] +test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"] + +[[package]] +name = "asttokens" +version = "2.4.1" +description = "Annotate AST trees with source code positions" +optional = false +python-versions = "*" +files = [ + {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"}, + {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}, +] + +[package.dependencies] +six = ">=1.12.0" + +[package.extras] +astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] +test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] + +[[package]] +name = "async-lru" +version = "2.0.4" +description = "Simple LRU cache for asyncio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"}, + {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"}, +] + +[[package]] +name = "attrs" +version = "24.2.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, + {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, +] + +[package.extras] +benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] + +[[package]] +name = "babel" +version = "2.16.0" +description = "Internationalization utilities" +optional = false +python-versions = ">=3.8" +files = [ + {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"}, + {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"}, +] + +[package.extras] +dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] + +[[package]] +name = "beautifulsoup4" +version = "4.12.3" +description = "Screen-scraping library" +optional = false +python-versions = ">=3.6.0" +files = [ + {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"}, + {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"}, +] + +[package.dependencies] +soupsieve = ">1.2" + +[package.extras] +cchardet = ["cchardet"] +chardet = ["chardet"] +charset-normalizer = ["charset-normalizer"] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "bleach" +version = "6.1.0" +description = "An easy safelist-based HTML-sanitizing tool." +optional = false +python-versions = ">=3.8" +files = [ + {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"}, + {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"}, +] + +[package.dependencies] +six = ">=1.9.0" +webencodings = "*" + +[package.extras] +css = ["tinycss2 (>=1.1.0,<1.3)"] + +[[package]] +name = "blinker" +version = "1.8.2" +description = "Fast, simple object-to-object and broadcast signaling" +optional = false +python-versions = ">=3.8" +files = [ + {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"}, + {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"}, +] + +[[package]] +name = "certifi" +version = "2024.8.30" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"}, + {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"}, +] + +[[package]] +name = "cffi" +version = "1.17.0" +description = "Foreign Function Interface for Python calling C code." +optional = false +python-versions = ">=3.8" +files = [ + {file = "cffi-1.17.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f9338cc05451f1942d0d8203ec2c346c830f8e86469903d5126c1f0a13a2bcbb"}, + {file = "cffi-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0ce71725cacc9ebf839630772b07eeec220cbb5f03be1399e0457a1464f8e1a"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c815270206f983309915a6844fe994b2fa47e5d05c4c4cef267c3b30e34dbe42"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6bdcd415ba87846fd317bee0774e412e8792832e7805938987e4ede1d13046d"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8a98748ed1a1df4ee1d6f927e151ed6c1a09d5ec21684de879c7ea6aa96f58f2"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0a048d4f6630113e54bb4b77e315e1ba32a5a31512c31a273807d0027a7e69ab"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24aa705a5f5bd3a8bcfa4d123f03413de5d86e497435693b638cbffb7d5d8a1b"}, + {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:856bf0924d24e7f93b8aee12a3a1095c34085600aa805693fb7f5d1962393206"}, + {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:4304d4416ff032ed50ad6bb87416d802e67139e31c0bde4628f36a47a3164bfa"}, + {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:331ad15c39c9fe9186ceaf87203a9ecf5ae0ba2538c9e898e3a6967e8ad3db6f"}, + {file = "cffi-1.17.0-cp310-cp310-win32.whl", hash = "sha256:669b29a9eca6146465cc574659058ed949748f0809a2582d1f1a324eb91054dc"}, + {file = "cffi-1.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:48b389b1fd5144603d61d752afd7167dfd205973a43151ae5045b35793232aa2"}, + {file = "cffi-1.17.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c5d97162c196ce54af6700949ddf9409e9833ef1003b4741c2b39ef46f1d9720"}, + {file = "cffi-1.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ba5c243f4004c750836f81606a9fcb7841f8874ad8f3bf204ff5e56332b72b9"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bb9333f58fc3a2296fb1d54576138d4cf5d496a2cc118422bd77835e6ae0b9cb"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:435a22d00ec7d7ea533db494da8581b05977f9c37338c80bc86314bec2619424"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d1df34588123fcc88c872f5acb6f74ae59e9d182a2707097f9e28275ec26a12d"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:df8bb0010fdd0a743b7542589223a2816bdde4d94bb5ad67884348fa2c1c67e8"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8b5b9712783415695663bd463990e2f00c6750562e6ad1d28e072a611c5f2a6"}, + {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ffef8fd58a36fb5f1196919638f73dd3ae0db1a878982b27a9a5a176ede4ba91"}, + {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e67d26532bfd8b7f7c05d5a766d6f437b362c1bf203a3a5ce3593a645e870b8"}, + {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45f7cd36186db767d803b1473b3c659d57a23b5fa491ad83c6d40f2af58e4dbb"}, + {file = "cffi-1.17.0-cp311-cp311-win32.whl", hash = "sha256:a9015f5b8af1bb6837a3fcb0cdf3b874fe3385ff6274e8b7925d81ccaec3c5c9"}, + {file = "cffi-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:b50aaac7d05c2c26dfd50c3321199f019ba76bb650e346a6ef3616306eed67b0"}, + {file = "cffi-1.17.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aec510255ce690d240f7cb23d7114f6b351c733a74c279a84def763660a2c3bc"}, + {file = "cffi-1.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2770bb0d5e3cc0e31e7318db06efcbcdb7b31bcb1a70086d3177692a02256f59"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:db9a30ec064129d605d0f1aedc93e00894b9334ec74ba9c6bdd08147434b33eb"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a47eef975d2b8b721775a0fa286f50eab535b9d56c70a6e62842134cf7841195"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f3e0992f23bbb0be00a921eae5363329253c3b86287db27092461c887b791e5e"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6107e445faf057c118d5050560695e46d272e5301feffda3c41849641222a828"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb862356ee9391dc5a0b3cbc00f416b48c1b9a52d252d898e5b7696a5f9fe150"}, + {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c1c13185b90bbd3f8b5963cd8ce7ad4ff441924c31e23c975cb150e27c2bf67a"}, + {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:17c6d6d3260c7f2d94f657e6872591fe8733872a86ed1345bda872cfc8c74885"}, + {file = "cffi-1.17.0-cp312-cp312-win32.whl", hash = "sha256:c3b8bd3133cd50f6b637bb4322822c94c5ce4bf0d724ed5ae70afce62187c492"}, + {file = "cffi-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:dca802c8db0720ce1c49cce1149ff7b06e91ba15fa84b1d59144fef1a1bc7ac2"}, + {file = "cffi-1.17.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6ce01337d23884b21c03869d2f68c5523d43174d4fc405490eb0091057943118"}, + {file = "cffi-1.17.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:cab2eba3830bf4f6d91e2d6718e0e1c14a2f5ad1af68a89d24ace0c6b17cced7"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:14b9cbc8f7ac98a739558eb86fabc283d4d564dafed50216e7f7ee62d0d25377"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b00e7bcd71caa0282cbe3c90966f738e2db91e64092a877c3ff7f19a1628fdcb"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:41f4915e09218744d8bae14759f983e466ab69b178de38066f7579892ff2a555"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4760a68cab57bfaa628938e9c2971137e05ce48e762a9cb53b76c9b569f1204"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:011aff3524d578a9412c8b3cfaa50f2c0bd78e03eb7af7aa5e0df59b158efb2f"}, + {file = "cffi-1.17.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:a003ac9edc22d99ae1286b0875c460351f4e101f8c9d9d2576e78d7e048f64e0"}, + {file = "cffi-1.17.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ef9528915df81b8f4c7612b19b8628214c65c9b7f74db2e34a646a0a2a0da2d4"}, + {file = "cffi-1.17.0-cp313-cp313-win32.whl", hash = "sha256:70d2aa9fb00cf52034feac4b913181a6e10356019b18ef89bc7c12a283bf5f5a"}, + {file = "cffi-1.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:b7b6ea9e36d32582cda3465f54c4b454f62f23cb083ebc7a94e2ca6ef011c3a7"}, + {file = "cffi-1.17.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:964823b2fc77b55355999ade496c54dde161c621cb1f6eac61dc30ed1b63cd4c"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:516a405f174fd3b88829eabfe4bb296ac602d6a0f68e0d64d5ac9456194a5b7e"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec6b307ce928e8e112a6bb9921a1cb00a0e14979bf28b98e084a4b8a742bd9b"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e4094c7b464cf0a858e75cd14b03509e84789abf7b79f8537e6a72152109c76e"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2404f3de742f47cb62d023f0ba7c5a916c9c653d5b368cc966382ae4e57da401"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3aa9d43b02a0c681f0bfbc12d476d47b2b2b6a3f9287f11ee42989a268a1833c"}, + {file = "cffi-1.17.0-cp38-cp38-win32.whl", hash = "sha256:0bb15e7acf8ab35ca8b24b90af52c8b391690ef5c4aec3d31f38f0d37d2cc499"}, + {file = "cffi-1.17.0-cp38-cp38-win_amd64.whl", hash = "sha256:93a7350f6706b31f457c1457d3a3259ff9071a66f312ae64dc024f049055f72c"}, + {file = "cffi-1.17.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1a2ddbac59dc3716bc79f27906c010406155031a1c801410f1bafff17ea304d2"}, + {file = "cffi-1.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6327b572f5770293fc062a7ec04160e89741e8552bf1c358d1a23eba68166759"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbc183e7bef690c9abe5ea67b7b60fdbca81aa8da43468287dae7b5c046107d4"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bdc0f1f610d067c70aa3737ed06e2726fd9d6f7bfee4a351f4c40b6831f4e82"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6d872186c1617d143969defeadac5a904e6e374183e07977eedef9c07c8953bf"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d46ee4764b88b91f16661a8befc6bfb24806d885e27436fdc292ed7e6f6d058"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f76a90c345796c01d85e6332e81cab6d70de83b829cf1d9762d0a3da59c7932"}, + {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0e60821d312f99d3e1569202518dddf10ae547e799d75aef3bca3a2d9e8ee693"}, + {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:eb09b82377233b902d4c3fbeeb7ad731cdab579c6c6fda1f763cd779139e47c3"}, + {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:24658baf6224d8f280e827f0a50c46ad819ec8ba380a42448e24459daf809cf4"}, + {file = "cffi-1.17.0-cp39-cp39-win32.whl", hash = "sha256:0fdacad9e0d9fc23e519efd5ea24a70348305e8d7d85ecbb1a5fa66dc834e7fb"}, + {file = "cffi-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:7cbc78dc018596315d4e7841c8c3a7ae31cc4d638c9b627f87d52e8abaaf2d29"}, + {file = "cffi-1.17.0.tar.gz", hash = "sha256:f3157624b7558b914cb039fd1af735e5e8049a87c817cc215109ad1c8779df76"}, +] + +[package.dependencies] +pycparser = "*" + +[[package]] +name = "charset-normalizer" +version = "3.3.2" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"}, + {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"}, +] + +[[package]] +name = "click" +version = "8.1.7" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.7" +files = [ + {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"}, + {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "comm" +version = "0.2.2" +description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." +optional = false +python-versions = ">=3.8" +files = [ + {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"}, + {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"}, +] + +[package.dependencies] +traitlets = ">=4" + +[package.extras] +test = ["pytest"] + +[[package]] +name = "contourpy" +version = "1.3.0" +description = "Python library for calculating contours of 2D quadrilateral grids" +optional = false +python-versions = ">=3.9" +files = [ + {file = "contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7"}, + {file = "contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92f8557cbb07415a4d6fa191f20fd9d2d9eb9c0b61d1b2f52a8926e43c6e9af7"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36f965570cff02b874773c49bfe85562b47030805d7d8360748f3eca570f4cab"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cacd81e2d4b6f89c9f8a5b69b86490152ff39afc58a95af002a398273e5ce589"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69375194457ad0fad3a839b9e29aa0b0ed53bb54db1bfb6c3ae43d111c31ce41"}, + {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7a52040312b1a858b5e31ef28c2e865376a386c60c0e248370bbea2d3f3b760d"}, + {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3faeb2998e4fcb256542e8a926d08da08977f7f5e62cf733f3c211c2a5586223"}, + {file = "contourpy-1.3.0-cp310-cp310-win32.whl", hash = "sha256:36e0cff201bcb17a0a8ecc7f454fe078437fa6bda730e695a92f2d9932bd507f"}, + {file = "contourpy-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:87ddffef1dbe5e669b5c2440b643d3fdd8622a348fe1983fad7a0f0ccb1cd67b"}, + {file = "contourpy-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fa4c02abe6c446ba70d96ece336e621efa4aecae43eaa9b030ae5fb92b309ad"}, + {file = "contourpy-1.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:834e0cfe17ba12f79963861e0f908556b2cedd52e1f75e6578801febcc6a9f49"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbc4c3217eee163fa3984fd1567632b48d6dfd29216da3ded3d7b844a8014a66"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4865cd1d419e0c7a7bf6de1777b185eebdc51470800a9f42b9e9decf17762081"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:303c252947ab4b14c08afeb52375b26781ccd6a5ccd81abcdfc1fafd14cf93c1"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637f674226be46f6ba372fd29d9523dd977a291f66ab2a74fbeb5530bb3f445d"}, + {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76a896b2f195b57db25d6b44e7e03f221d32fe318d03ede41f8b4d9ba1bff53c"}, + {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e1fd23e9d01591bab45546c089ae89d926917a66dceb3abcf01f6105d927e2cb"}, + {file = "contourpy-1.3.0-cp311-cp311-win32.whl", hash = "sha256:d402880b84df3bec6eab53cd0cf802cae6a2ef9537e70cf75e91618a3801c20c"}, + {file = "contourpy-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:6cb6cc968059db9c62cb35fbf70248f40994dfcd7aa10444bbf8b3faeb7c2d67"}, + {file = "contourpy-1.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:570ef7cf892f0afbe5b2ee410c507ce12e15a5fa91017a0009f79f7d93a1268f"}, + {file = "contourpy-1.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:da84c537cb8b97d153e9fb208c221c45605f73147bd4cadd23bdae915042aad6"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0be4d8425bfa755e0fd76ee1e019636ccc7c29f77a7c86b4328a9eb6a26d0639"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9c0da700bf58f6e0b65312d0a5e695179a71d0163957fa381bb3c1f72972537c"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eb8b141bb00fa977d9122636b16aa67d37fd40a3d8b52dd837e536d64b9a4d06"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3634b5385c6716c258d0419c46d05c8aa7dc8cb70326c9a4fb66b69ad2b52e09"}, + {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0dce35502151b6bd35027ac39ba6e5a44be13a68f55735c3612c568cac3805fd"}, + {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:aea348f053c645100612b333adc5983d87be69acdc6d77d3169c090d3b01dc35"}, + {file = "contourpy-1.3.0-cp312-cp312-win32.whl", hash = "sha256:90f73a5116ad1ba7174341ef3ea5c3150ddf20b024b98fb0c3b29034752c8aeb"}, + {file = "contourpy-1.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:b11b39aea6be6764f84360fce6c82211a9db32a7c7de8fa6dd5397cf1d079c3b"}, + {file = "contourpy-1.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3e1c7fa44aaae40a2247e2e8e0627f4bea3dd257014764aa644f319a5f8600e3"}, + {file = "contourpy-1.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:364174c2a76057feef647c802652f00953b575723062560498dc7930fc9b1cb7"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32b238b3b3b649e09ce9aaf51f0c261d38644bdfa35cbaf7b263457850957a84"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d51fca85f9f7ad0b65b4b9fe800406d0d77017d7270d31ec3fb1cc07358fdea0"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:732896af21716b29ab3e988d4ce14bc5133733b85956316fb0c56355f398099b"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d73f659398a0904e125280836ae6f88ba9b178b2fed6884f3b1f95b989d2c8da"}, + {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c6c7c2408b7048082932cf4e641fa3b8ca848259212f51c8c59c45aa7ac18f14"}, + {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f317576606de89da6b7e0861cf6061f6146ead3528acabff9236458a6ba467f8"}, + {file = "contourpy-1.3.0-cp313-cp313-win32.whl", hash = "sha256:31cd3a85dbdf1fc002280c65caa7e2b5f65e4a973fcdf70dd2fdcb9868069294"}, + {file = "contourpy-1.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4553c421929ec95fb07b3aaca0fae668b2eb5a5203d1217ca7c34c063c53d087"}, + {file = "contourpy-1.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:345af746d7766821d05d72cb8f3845dfd08dd137101a2cb9b24de277d716def8"}, + {file = "contourpy-1.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3bb3808858a9dc68f6f03d319acd5f1b8a337e6cdda197f02f4b8ff67ad2057b"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:420d39daa61aab1221567b42eecb01112908b2cab7f1b4106a52caaec8d36973"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4d63ee447261e963af02642ffcb864e5a2ee4cbfd78080657a9880b8b1868e18"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:167d6c890815e1dac9536dca00828b445d5d0df4d6a8c6adb4a7ec3166812fa8"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:710a26b3dc80c0e4febf04555de66f5fd17e9cf7170a7b08000601a10570bda6"}, + {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:75ee7cb1a14c617f34a51d11fa7524173e56551646828353c4af859c56b766e2"}, + {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:33c92cdae89ec5135d036e7218e69b0bb2851206077251f04a6c4e0e21f03927"}, + {file = "contourpy-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a11077e395f67ffc2c44ec2418cfebed032cd6da3022a94fc227b6faf8e2acb8"}, + {file = "contourpy-1.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e8134301d7e204c88ed7ab50028ba06c683000040ede1d617298611f9dc6240c"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12968fdfd5bb45ffdf6192a590bd8ddd3ba9e58360b29683c6bb71a7b41edca"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fd2a0fc506eccaaa7595b7e1418951f213cf8255be2600f1ea1b61e46a60c55f"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cfb5c62ce023dfc410d6059c936dcf96442ba40814aefbfa575425a3a7f19dc"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68a32389b06b82c2fdd68276148d7b9275b5f5cf13e5417e4252f6d1a34f72a2"}, + {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:94e848a6b83da10898cbf1311a815f770acc9b6a3f2d646f330d57eb4e87592e"}, + {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d78ab28a03c854a873787a0a42254a0ccb3cb133c672f645c9f9c8f3ae9d0800"}, + {file = "contourpy-1.3.0-cp39-cp39-win32.whl", hash = "sha256:81cb5ed4952aae6014bc9d0421dec7c5835c9c8c31cdf51910b708f548cf58e5"}, + {file = "contourpy-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:14e262f67bd7e6eb6880bc564dcda30b15e351a594657e55b7eec94b6ef72843"}, + {file = "contourpy-1.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fe41b41505a5a33aeaed2a613dccaeaa74e0e3ead6dd6fd3a118fb471644fd6c"}, + {file = "contourpy-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eca7e17a65f72a5133bdbec9ecf22401c62bcf4821361ef7811faee695799779"}, + {file = "contourpy-1.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:1ec4dc6bf570f5b22ed0d7efba0dfa9c5b9e0431aeea7581aa217542d9e809a4"}, + {file = "contourpy-1.3.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:00ccd0dbaad6d804ab259820fa7cb0b8036bda0686ef844d24125d8287178ce0"}, + {file = "contourpy-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca947601224119117f7c19c9cdf6b3ab54c5726ef1d906aa4a69dfb6dd58102"}, + {file = "contourpy-1.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6ec93afeb848a0845a18989da3beca3eec2c0f852322efe21af1931147d12cb"}, + {file = "contourpy-1.3.0.tar.gz", hash = "sha256:7ffa0db17717a8ffb127efd0c95a4362d996b892c2904db72428d5b52e1938a4"}, +] + +[package.dependencies] +numpy = ">=1.23" + +[package.extras] +bokeh = ["bokeh", "selenium"] +docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] +mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"] +test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] +test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"] + +[[package]] +name = "cycler" +version = "0.12.1" +description = "Composable style cycles" +optional = false +python-versions = ">=3.8" +files = [ + {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, + {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, +] + +[package.extras] +docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] +tests = ["pytest", "pytest-cov", "pytest-xdist"] + +[[package]] +name = "debugpy" +version = "1.8.5" +description = "An implementation of the Debug Adapter Protocol for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "debugpy-1.8.5-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:7e4d594367d6407a120b76bdaa03886e9eb652c05ba7f87e37418426ad2079f7"}, + {file = "debugpy-1.8.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4413b7a3ede757dc33a273a17d685ea2b0c09dbd312cc03f5534a0fd4d40750a"}, + {file = "debugpy-1.8.5-cp310-cp310-win32.whl", hash = "sha256:dd3811bd63632bb25eda6bd73bea8e0521794cda02be41fa3160eb26fc29e7ed"}, + {file = "debugpy-1.8.5-cp310-cp310-win_amd64.whl", hash = "sha256:b78c1250441ce893cb5035dd6f5fc12db968cc07f91cc06996b2087f7cefdd8e"}, + {file = "debugpy-1.8.5-cp311-cp311-macosx_12_0_universal2.whl", hash = "sha256:606bccba19f7188b6ea9579c8a4f5a5364ecd0bf5a0659c8a5d0e10dcee3032a"}, + {file = "debugpy-1.8.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db9fb642938a7a609a6c865c32ecd0d795d56c1aaa7a7a5722d77855d5e77f2b"}, + {file = "debugpy-1.8.5-cp311-cp311-win32.whl", hash = "sha256:4fbb3b39ae1aa3e5ad578f37a48a7a303dad9a3d018d369bc9ec629c1cfa7408"}, + {file = "debugpy-1.8.5-cp311-cp311-win_amd64.whl", hash = "sha256:345d6a0206e81eb68b1493ce2fbffd57c3088e2ce4b46592077a943d2b968ca3"}, + {file = "debugpy-1.8.5-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:5b5c770977c8ec6c40c60d6f58cacc7f7fe5a45960363d6974ddb9b62dbee156"}, + {file = "debugpy-1.8.5-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a65b00b7cdd2ee0c2cf4c7335fef31e15f1b7056c7fdbce9e90193e1a8c8cb"}, + {file = "debugpy-1.8.5-cp312-cp312-win32.whl", hash = "sha256:c9f7c15ea1da18d2fcc2709e9f3d6de98b69a5b0fff1807fb80bc55f906691f7"}, + {file = "debugpy-1.8.5-cp312-cp312-win_amd64.whl", hash = "sha256:28ced650c974aaf179231668a293ecd5c63c0a671ae6d56b8795ecc5d2f48d3c"}, + {file = "debugpy-1.8.5-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:3df6692351172a42af7558daa5019651f898fc67450bf091335aa8a18fbf6f3a"}, + {file = "debugpy-1.8.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd04a73eb2769eb0bfe43f5bfde1215c5923d6924b9b90f94d15f207a402226"}, + {file = "debugpy-1.8.5-cp38-cp38-win32.whl", hash = "sha256:8f913ee8e9fcf9d38a751f56e6de12a297ae7832749d35de26d960f14280750a"}, + {file = "debugpy-1.8.5-cp38-cp38-win_amd64.whl", hash = "sha256:a697beca97dad3780b89a7fb525d5e79f33821a8bc0c06faf1f1289e549743cf"}, + {file = "debugpy-1.8.5-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:0a1029a2869d01cb777216af8c53cda0476875ef02a2b6ff8b2f2c9a4b04176c"}, + {file = "debugpy-1.8.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84c276489e141ed0b93b0af648eef891546143d6a48f610945416453a8ad406"}, + {file = "debugpy-1.8.5-cp39-cp39-win32.whl", hash = "sha256:ad84b7cde7fd96cf6eea34ff6c4a1b7887e0fe2ea46e099e53234856f9d99a34"}, + {file = "debugpy-1.8.5-cp39-cp39-win_amd64.whl", hash = "sha256:7b0fe36ed9d26cb6836b0a51453653f8f2e347ba7348f2bbfe76bfeb670bfb1c"}, + {file = "debugpy-1.8.5-py2.py3-none-any.whl", hash = "sha256:55919dce65b471eff25901acf82d328bbd5b833526b6c1364bd5133754777a44"}, + {file = "debugpy-1.8.5.zip", hash = "sha256:b2112cfeb34b4507399d298fe7023a16656fc553ed5246536060ca7bd0e668d0"}, +] + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +optional = false +python-versions = ">=3.5" +files = [ + {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, + {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, +] + +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + +[[package]] +name = "executing" +version = "2.1.0" +description = "Get the currently executing AST node of a frame, and other information" +optional = false +python-versions = ">=3.8" +files = [ + {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"}, + {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"}, +] + +[package.extras] +tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] + +[[package]] +name = "fastjsonschema" +version = "2.20.0" +description = "Fastest Python implementation of JSON schema" +optional = false +python-versions = "*" +files = [ + {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"}, + {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"}, +] + +[package.extras] +devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + +[[package]] +name = "flask" +version = "3.0.3" +description = "A simple framework for building complex web applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "flask-3.0.3-py3-none-any.whl", hash = "sha256:34e815dfaa43340d1d15a5c3a02b8476004037eb4840b34910c6e21679d288f3"}, + {file = "flask-3.0.3.tar.gz", hash = "sha256:ceb27b0af3823ea2737928a4d99d125a06175b8512c445cbd9a9ce200ef76842"}, +] + +[package.dependencies] +blinker = ">=1.6.2" +click = ">=8.1.3" +itsdangerous = ">=2.1.2" +Jinja2 = ">=3.1.2" +Werkzeug = ">=3.0.0" + +[package.extras] +async = ["asgiref (>=3.2)"] +dotenv = ["python-dotenv"] + +[[package]] +name = "flask-cors" +version = "5.0.0" +description = "A Flask extension adding a decorator for CORS support" +optional = false +python-versions = "*" +files = [ + {file = "Flask_Cors-5.0.0-py2.py3-none-any.whl", hash = "sha256:b9e307d082a9261c100d8fb0ba909eec6a228ed1b60a8315fd85f783d61910bc"}, + {file = "flask_cors-5.0.0.tar.gz", hash = "sha256:5aadb4b950c4e93745034594d9f3ea6591f734bb3662e16e255ffbf5e89c88ef"}, +] + +[package.dependencies] +Flask = ">=0.9" + +[[package]] +name = "flask-httpauth" +version = "4.8.0" +description = "HTTP authentication for Flask routes" +optional = false +python-versions = "*" +files = [ + {file = "Flask-HTTPAuth-4.8.0.tar.gz", hash = "sha256:66568a05bc73942c65f1e2201ae746295816dc009edd84b482c44c758d75097a"}, + {file = "Flask_HTTPAuth-4.8.0-py3-none-any.whl", hash = "sha256:a58fedd09989b9975448eef04806b096a3964a7feeebc0a78831ff55685b62b0"}, +] + +[package.dependencies] +flask = "*" + +[[package]] +name = "flask-marshmallow" +version = "1.2.1" +description = "Flask + marshmallow for beautiful APIs" +optional = false +python-versions = ">=3.8" +files = [ + {file = "flask_marshmallow-1.2.1-py3-none-any.whl", hash = "sha256:10b5048ecfaa26f7c8d0aed7d81083164450e6be8e81c04b3d4a586b3f7b6678"}, + {file = "flask_marshmallow-1.2.1.tar.gz", hash = "sha256:00ee96399ed664963afff3b5d6ee518640b0f91dbc2aace2b5abcf32f40ef23a"}, +] + +[package.dependencies] +Flask = ">=2.2" +marshmallow = ">=3.0.0" + +[package.extras] +dev = ["flask-marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["Sphinx (==7.2.6)", "marshmallow-sqlalchemy (>=0.19.0)", "sphinx-issues (==4.0.0)"] +sqlalchemy = ["flask-sqlalchemy (>=3.0.0)", "marshmallow-sqlalchemy (>=0.29.0)"] +tests = ["flask-marshmallow[sqlalchemy]", "pytest"] + +[[package]] +name = "fonttools" +version = "4.53.1" +description = "Tools to manipulate font files" +optional = false +python-versions = ">=3.8" +files = [ + {file = "fonttools-4.53.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0679a30b59d74b6242909945429dbddb08496935b82f91ea9bf6ad240ec23397"}, + {file = "fonttools-4.53.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e8bf06b94694251861ba7fdeea15c8ec0967f84c3d4143ae9daf42bbc7717fe3"}, + {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b96cd370a61f4d083c9c0053bf634279b094308d52fdc2dd9a22d8372fdd590d"}, + {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1c7c5aa18dd3b17995898b4a9b5929d69ef6ae2af5b96d585ff4005033d82f0"}, + {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e013aae589c1c12505da64a7d8d023e584987e51e62006e1bb30d72f26522c41"}, + {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9efd176f874cb6402e607e4cc9b4a9cd584d82fc34a4b0c811970b32ba62501f"}, + {file = "fonttools-4.53.1-cp310-cp310-win32.whl", hash = "sha256:c8696544c964500aa9439efb6761947393b70b17ef4e82d73277413f291260a4"}, + {file = "fonttools-4.53.1-cp310-cp310-win_amd64.whl", hash = "sha256:8959a59de5af6d2bec27489e98ef25a397cfa1774b375d5787509c06659b3671"}, + {file = "fonttools-4.53.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:da33440b1413bad53a8674393c5d29ce64d8c1a15ef8a77c642ffd900d07bfe1"}, + {file = "fonttools-4.53.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ff7e5e9bad94e3a70c5cd2fa27f20b9bb9385e10cddab567b85ce5d306ea923"}, + {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6e7170d675d12eac12ad1a981d90f118c06cf680b42a2d74c6c931e54b50719"}, + {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee32ea8765e859670c4447b0817514ca79054463b6b79784b08a8df3a4d78e3"}, + {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6e08f572625a1ee682115223eabebc4c6a2035a6917eac6f60350aba297ccadb"}, + {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b21952c092ffd827504de7e66b62aba26fdb5f9d1e435c52477e6486e9d128b2"}, + {file = "fonttools-4.53.1-cp311-cp311-win32.whl", hash = "sha256:9dfdae43b7996af46ff9da520998a32b105c7f098aeea06b2226b30e74fbba88"}, + {file = "fonttools-4.53.1-cp311-cp311-win_amd64.whl", hash = "sha256:d4d0096cb1ac7a77b3b41cd78c9b6bc4a400550e21dc7a92f2b5ab53ed74eb02"}, + {file = "fonttools-4.53.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d92d3c2a1b39631a6131c2fa25b5406855f97969b068e7e08413325bc0afba58"}, + {file = "fonttools-4.53.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3b3c8ebafbee8d9002bd8f1195d09ed2bd9ff134ddec37ee8f6a6375e6a4f0e8"}, + {file = "fonttools-4.53.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32f029c095ad66c425b0ee85553d0dc326d45d7059dbc227330fc29b43e8ba60"}, + {file = "fonttools-4.53.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10f5e6c3510b79ea27bb1ebfcc67048cde9ec67afa87c7dd7efa5c700491ac7f"}, + {file = "fonttools-4.53.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f677ce218976496a587ab17140da141557beb91d2a5c1a14212c994093f2eae2"}, + {file = "fonttools-4.53.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9e6ceba2a01b448e36754983d376064730690401da1dd104ddb543519470a15f"}, + {file = "fonttools-4.53.1-cp312-cp312-win32.whl", hash = "sha256:791b31ebbc05197d7aa096bbc7bd76d591f05905d2fd908bf103af4488e60670"}, + {file = "fonttools-4.53.1-cp312-cp312-win_amd64.whl", hash = "sha256:6ed170b5e17da0264b9f6fae86073be3db15fa1bd74061c8331022bca6d09bab"}, + {file = "fonttools-4.53.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c818c058404eb2bba05e728d38049438afd649e3c409796723dfc17cd3f08749"}, + {file = "fonttools-4.53.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:651390c3b26b0c7d1f4407cad281ee7a5a85a31a110cbac5269de72a51551ba2"}, + {file = "fonttools-4.53.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e54f1bba2f655924c1138bbc7fa91abd61f45c68bd65ab5ed985942712864bbb"}, + {file = "fonttools-4.53.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9cd19cf4fe0595ebdd1d4915882b9440c3a6d30b008f3cc7587c1da7b95be5f"}, + {file = "fonttools-4.53.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2af40ae9cdcb204fc1d8f26b190aa16534fcd4f0df756268df674a270eab575d"}, + {file = "fonttools-4.53.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:35250099b0cfb32d799fb5d6c651220a642fe2e3c7d2560490e6f1d3f9ae9169"}, + {file = "fonttools-4.53.1-cp38-cp38-win32.whl", hash = "sha256:f08df60fbd8d289152079a65da4e66a447efc1d5d5a4d3f299cdd39e3b2e4a7d"}, + {file = "fonttools-4.53.1-cp38-cp38-win_amd64.whl", hash = "sha256:7b6b35e52ddc8fb0db562133894e6ef5b4e54e1283dff606fda3eed938c36fc8"}, + {file = "fonttools-4.53.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:75a157d8d26c06e64ace9df037ee93a4938a4606a38cb7ffaf6635e60e253b7a"}, + {file = "fonttools-4.53.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4824c198f714ab5559c5be10fd1adf876712aa7989882a4ec887bf1ef3e00e31"}, + {file = "fonttools-4.53.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:becc5d7cb89c7b7afa8321b6bb3dbee0eec2b57855c90b3e9bf5fb816671fa7c"}, + {file = "fonttools-4.53.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84ec3fb43befb54be490147b4a922b5314e16372a643004f182babee9f9c3407"}, + {file = "fonttools-4.53.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:73379d3ffdeecb376640cd8ed03e9d2d0e568c9d1a4e9b16504a834ebadc2dfb"}, + {file = "fonttools-4.53.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:02569e9a810f9d11f4ae82c391ebc6fb5730d95a0657d24d754ed7763fb2d122"}, + {file = "fonttools-4.53.1-cp39-cp39-win32.whl", hash = "sha256:aae7bd54187e8bf7fd69f8ab87b2885253d3575163ad4d669a262fe97f0136cb"}, + {file = "fonttools-4.53.1-cp39-cp39-win_amd64.whl", hash = "sha256:e5b708073ea3d684235648786f5f6153a48dc8762cdfe5563c57e80787c29fbb"}, + {file = "fonttools-4.53.1-py3-none-any.whl", hash = "sha256:f1f8758a2ad110bd6432203a344269f445a2907dc24ef6bccfd0ac4e14e0d71d"}, + {file = "fonttools-4.53.1.tar.gz", hash = "sha256:e128778a8e9bc11159ce5447f76766cefbd876f44bd79aff030287254e4752c4"}, +] + +[package.extras] +all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] +graphite = ["lz4 (>=1.7.4.2)"] +interpolatable = ["munkres", "pycairo", "scipy"] +lxml = ["lxml (>=4.0)"] +pathops = ["skia-pathops (>=0.5.0)"] +plot = ["matplotlib"] +repacker = ["uharfbuzz (>=0.23.0)"] +symfont = ["sympy"] +type1 = ["xattr"] +ufo = ["fs (>=2.2.0,<3)"] +unicode = ["unicodedata2 (>=15.1.0)"] +woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] + +[[package]] +name = "fqdn" +version = "1.5.1" +description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" +optional = false +python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" +files = [ + {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, + {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, +] + +[[package]] +name = "h11" +version = "0.14.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" +optional = false +python-versions = ">=3.7" +files = [ + {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, + {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"}, +] + +[[package]] +name = "httpcore" +version = "1.0.5" +description = "A minimal low-level HTTP client." +optional = false +python-versions = ">=3.8" +files = [ + {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"}, + {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"}, +] + +[package.dependencies] +certifi = "*" +h11 = ">=0.13,<0.15" + +[package.extras] +asyncio = ["anyio (>=4.0,<5.0)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +trio = ["trio (>=0.22.0,<0.26.0)"] + +[[package]] +name = "httpx" +version = "0.27.2" +description = "The next generation HTTP client." +optional = false +python-versions = ">=3.8" +files = [ + {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"}, + {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"}, +] + +[package.dependencies] +anyio = "*" +certifi = "*" +httpcore = "==1.*" +idna = "*" +sniffio = "*" + +[package.extras] +brotli = ["brotli", "brotlicffi"] +cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "idna" +version = "3.8" +description = "Internationalized Domain Names in Applications (IDNA)" +optional = false +python-versions = ">=3.6" +files = [ + {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"}, + {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"}, +] + +[[package]] +name = "imbalanced-learn" +version = "0.12.3" +description = "Toolbox for imbalanced dataset in machine learning." +optional = false +python-versions = "*" +files = [ + {file = "imbalanced-learn-0.12.3.tar.gz", hash = "sha256:5b00796a01419e9102bd425e27c319d58d1f6cf2dfa751e02ed7f4edf67c3c1b"}, + {file = "imbalanced_learn-0.12.3-py3-none-any.whl", hash = "sha256:0e83e8226cb27dd567dff6aef0136bde0f54922ea1bd9d5f38f62701dc51a152"}, +] + +[package.dependencies] +joblib = ">=1.1.1" +numpy = ">=1.17.3" +scikit-learn = ">=1.0.2" +scipy = ">=1.5.0" +threadpoolctl = ">=2.0.0" + +[package.extras] +docs = ["keras (>=2.4.3)", "matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.5.0)", "pandas (>=1.0.5)", "pydata-sphinx-theme (>=0.13.3)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-gallery (>=0.13.0)", "sphinxcontrib-bibtex (>=2.4.1)", "tensorflow (>=2.4.3)"] +examples = ["keras (>=2.4.3)", "matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)", "tensorflow (>=2.4.3)"] +optional = ["keras (>=2.4.3)", "pandas (>=1.0.5)", "tensorflow (>=2.4.3)"] +tests = ["black (>=23.3.0)", "flake8 (>=3.8.2)", "keras (>=2.4.3)", "mypy (>=1.3.0)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "tensorflow (>=2.4.3)"] + +[[package]] +name = "ipykernel" +version = "6.29.5" +description = "IPython Kernel for Jupyter" +optional = false +python-versions = ">=3.8" +files = [ + {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"}, + {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"}, +] + +[package.dependencies] +appnope = {version = "*", markers = "platform_system == \"Darwin\""} +comm = ">=0.1.1" +debugpy = ">=1.6.5" +ipython = ">=7.23.1" +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +matplotlib-inline = ">=0.1" +nest-asyncio = "*" +packaging = "*" +psutil = "*" +pyzmq = ">=24" +tornado = ">=6.1" +traitlets = ">=5.4.0" + +[package.extras] +cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] +pyqt5 = ["pyqt5"] +pyside6 = ["pyside6"] +test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "ipython" +version = "8.27.0" +description = "IPython: Productive Interactive Computing" +optional = false +python-versions = ">=3.10" +files = [ + {file = "ipython-8.27.0-py3-none-any.whl", hash = "sha256:f68b3cb8bde357a5d7adc9598d57e22a45dfbea19eb6b98286fa3b288c9cd55c"}, + {file = "ipython-8.27.0.tar.gz", hash = "sha256:0b99a2dc9f15fd68692e898e5568725c6d49c527d36a9fb5960ffbdeaa82ff7e"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +decorator = "*" +jedi = ">=0.16" +matplotlib-inline = "*" +pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} +prompt-toolkit = ">=3.0.41,<3.1.0" +pygments = ">=2.4.0" +stack-data = "*" +traitlets = ">=5.13.0" + +[package.extras] +all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] +black = ["black"] +doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"] +kernel = ["ipykernel"] +matplotlib = ["matplotlib"] +nbconvert = ["nbconvert"] +nbformat = ["nbformat"] +notebook = ["ipywidgets", "notebook"] +parallel = ["ipyparallel"] +qtconsole = ["qtconsole"] +test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] +test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"] + +[[package]] +name = "ipywidgets" +version = "8.1.5" +description = "Jupyter interactive widgets" +optional = false +python-versions = ">=3.7" +files = [ + {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"}, + {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"}, +] + +[package.dependencies] +comm = ">=0.1.3" +ipython = ">=6.1.0" +jupyterlab-widgets = ">=3.0.12,<3.1.0" +traitlets = ">=4.3.1" +widgetsnbextension = ">=4.0.12,<4.1.0" + +[package.extras] +test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] + +[[package]] +name = "isoduration" +version = "20.11.0" +description = "Operations with ISO 8601 durations" +optional = false +python-versions = ">=3.7" +files = [ + {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, + {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, +] + +[package.dependencies] +arrow = ">=0.15.0" + +[[package]] +name = "itsdangerous" +version = "2.2.0" +description = "Safely pass data to untrusted environments and back." +optional = false +python-versions = ">=3.8" +files = [ + {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"}, + {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"}, +] + +[[package]] +name = "jedi" +version = "0.19.1" +description = "An autocompletion tool for Python that can be used for text editors." +optional = false +python-versions = ">=3.6" +files = [ + {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"}, + {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"}, +] + +[package.dependencies] +parso = ">=0.8.3,<0.9.0" + +[package.extras] +docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] + +[[package]] +name = "jinja2" +version = "3.1.4" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +files = [ + {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"}, + {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"}, +] + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "joblib" +version = "1.4.2" +description = "Lightweight pipelining with Python functions" +optional = false +python-versions = ">=3.8" +files = [ + {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"}, + {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"}, +] + +[[package]] +name = "json5" +version = "0.9.25" +description = "A Python implementation of the JSON5 data format." +optional = false +python-versions = ">=3.8" +files = [ + {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"}, + {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"}, +] + +[[package]] +name = "jsonpointer" +version = "3.0.0" +description = "Identify specific nodes in a JSON document (RFC 6901)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, + {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, +] + +[[package]] +name = "jsonschema" +version = "4.23.0" +description = "An implementation of JSON Schema validation for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"}, + {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} +jsonschema-specifications = ">=2023.03.6" +referencing = ">=0.28.4" +rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} +rpds-py = ">=0.7.1" +uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""} + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"] + +[[package]] +name = "jsonschema-specifications" +version = "2023.12.1" +description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"}, + {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"}, +] + +[package.dependencies] +referencing = ">=0.31.0" + +[[package]] +name = "jupyter" +version = "1.1.1" +description = "Jupyter metapackage. Install all the Jupyter components in one go." +optional = false +python-versions = "*" +files = [ + {file = "jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83"}, + {file = "jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a"}, +] + +[package.dependencies] +ipykernel = "*" +ipywidgets = "*" +jupyter-console = "*" +jupyterlab = "*" +nbconvert = "*" +notebook = "*" + +[[package]] +name = "jupyter-client" +version = "8.6.2" +description = "Jupyter protocol implementation and client libraries" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"}, + {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"}, +] + +[package.dependencies] +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +python-dateutil = ">=2.8.2" +pyzmq = ">=23.0" +tornado = ">=6.2" +traitlets = ">=5.3" + +[package.extras] +docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] + +[[package]] +name = "jupyter-console" +version = "6.6.3" +description = "Jupyter terminal console" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485"}, + {file = "jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539"}, +] + +[package.dependencies] +ipykernel = ">=6.14" +ipython = "*" +jupyter-client = ">=7.0.0" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +prompt-toolkit = ">=3.0.30" +pygments = "*" +pyzmq = ">=17" +traitlets = ">=5.4" + +[package.extras] +test = ["flaky", "pexpect", "pytest"] + +[[package]] +name = "jupyter-core" +version = "5.7.2" +description = "Jupyter core package. A base package on which Jupyter projects rely." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"}, + {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"}, +] + +[package.dependencies] +platformdirs = ">=2.5" +pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +traitlets = ">=5.3" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] +test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-events" +version = "0.10.0" +description = "Jupyter Event System library" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"}, + {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"}, +] + +[package.dependencies] +jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]} +python-json-logger = ">=2.0.4" +pyyaml = ">=5.3" +referencing = "*" +rfc3339-validator = "*" +rfc3986-validator = ">=0.1.1" +traitlets = ">=5.3" + +[package.extras] +cli = ["click", "rich"] +docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"] +test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"] + +[[package]] +name = "jupyter-lsp" +version = "2.2.5" +description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"}, + {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"}, +] + +[package.dependencies] +jupyter-server = ">=1.1.2" + +[[package]] +name = "jupyter-server" +version = "2.14.2" +description = "The backendβ€”i.e. core services, APIs, and REST endpointsβ€”to Jupyter web applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"}, + {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"}, +] + +[package.dependencies] +anyio = ">=3.1.0" +argon2-cffi = ">=21.1" +jinja2 = ">=3.0.3" +jupyter-client = ">=7.4.4" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +jupyter-events = ">=0.9.0" +jupyter-server-terminals = ">=0.4.4" +nbconvert = ">=6.4.4" +nbformat = ">=5.3.0" +overrides = ">=5.0" +packaging = ">=22.0" +prometheus-client = ">=0.9" +pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""} +pyzmq = ">=24" +send2trash = ">=1.8.2" +terminado = ">=0.8.3" +tornado = ">=6.2.0" +traitlets = ">=5.6.0" +websocket-client = ">=1.7" + +[package.extras] +docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"] +test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"] + +[[package]] +name = "jupyter-server-terminals" +version = "0.5.3" +description = "A Jupyter Server Extension Providing Terminals." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"}, + {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"}, +] + +[package.dependencies] +pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} +terminado = ">=0.8.3" + +[package.extras] +docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] +test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] + +[[package]] +name = "jupyterlab" +version = "4.2.5" +description = "JupyterLab computational environment" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"}, + {file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"}, +] + +[package.dependencies] +async-lru = ">=1.0.0" +httpx = ">=0.25.0" +ipykernel = ">=6.5.0" +jinja2 = ">=3.0.3" +jupyter-core = "*" +jupyter-lsp = ">=2.0.0" +jupyter-server = ">=2.4.0,<3" +jupyterlab-server = ">=2.27.1,<3" +notebook-shim = ">=0.2" +packaging = "*" +setuptools = ">=40.1.0" +tornado = ">=6.2.0" +traitlets = "*" + +[package.extras] +dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.3.5)"] +docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"] +docs-screenshots = ["altair (==5.3.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.2)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"] +test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] +upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"] + +[[package]] +name = "jupyterlab-pygments" +version = "0.3.0" +description = "Pygments theme using JupyterLab CSS variables" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, + {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, +] + +[[package]] +name = "jupyterlab-server" +version = "2.27.3" +description = "A set of server components for JupyterLab and JupyterLab like applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"}, + {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"}, +] + +[package.dependencies] +babel = ">=2.10" +jinja2 = ">=3.0.3" +json5 = ">=0.9.0" +jsonschema = ">=4.18.0" +jupyter-server = ">=1.21,<3" +packaging = ">=21.3" +requests = ">=2.31" + +[package.extras] +docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"] +openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"] +test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"] + +[[package]] +name = "jupyterlab-widgets" +version = "3.0.13" +description = "Jupyter interactive widgets for JupyterLab" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"}, + {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"}, +] + +[[package]] +name = "kiwisolver" +version = "1.4.7" +description = "A fast implementation of the Cassowary constraint solver" +optional = false +python-versions = ">=3.8" +files = [ + {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6"}, + {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17"}, + {file = "kiwisolver-1.4.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aa0abdf853e09aff551db11fce173e2177d00786c688203f52c87ad7fcd91ef9"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8d53103597a252fb3ab8b5845af04c7a26d5e7ea8122303dd7a021176a87e8b9"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:88f17c5ffa8e9462fb79f62746428dd57b46eb931698e42e990ad63103f35e6c"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a9ca9c710d598fd75ee5de59d5bda2684d9db36a9f50b6125eaea3969c2599"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f4d742cb7af1c28303a51b7a27aaee540e71bb8e24f68c736f6f2ffc82f2bf05"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e28c7fea2196bf4c2f8d46a0415c77a1c480cc0724722f23d7410ffe9842c407"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e968b84db54f9d42046cf154e02911e39c0435c9801681e3fc9ce8a3c4130278"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0c18ec74c0472de033e1bebb2911c3c310eef5649133dd0bedf2a169a1b269e5"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8f0ea6da6d393d8b2e187e6a5e3fb81f5862010a40c3945e2c6d12ae45cfb2ad"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:f106407dda69ae456dd1227966bf445b157ccc80ba0dff3802bb63f30b74e895"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84ec80df401cfee1457063732d90022f93951944b5b58975d34ab56bb150dfb3"}, + {file = "kiwisolver-1.4.7-cp310-cp310-win32.whl", hash = "sha256:71bb308552200fb2c195e35ef05de12f0c878c07fc91c270eb3d6e41698c3bcc"}, + {file = "kiwisolver-1.4.7-cp310-cp310-win_amd64.whl", hash = "sha256:44756f9fd339de0fb6ee4f8c1696cfd19b2422e0d70b4cefc1cc7f1f64045a8c"}, + {file = "kiwisolver-1.4.7-cp310-cp310-win_arm64.whl", hash = "sha256:78a42513018c41c2ffd262eb676442315cbfe3c44eed82385c2ed043bc63210a"}, + {file = "kiwisolver-1.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d2b0e12a42fb4e72d509fc994713d099cbb15ebf1103545e8a45f14da2dfca54"}, + {file = "kiwisolver-1.4.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a8781ac3edc42ea4b90bc23e7d37b665d89423818e26eb6df90698aa2287c95"}, + {file = "kiwisolver-1.4.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46707a10836894b559e04b0fd143e343945c97fd170d69a2d26d640b4e297935"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef97b8df011141c9b0f6caf23b29379f87dd13183c978a30a3c546d2c47314cb"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab58c12a2cd0fc769089e6d38466c46d7f76aced0a1f54c77652446733d2d02"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:803b8e1459341c1bb56d1c5c010406d5edec8a0713a0945851290a7930679b51"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f9a9e8a507420fe35992ee9ecb302dab68550dedc0da9e2880dd88071c5fb052"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18077b53dc3bb490e330669a99920c5e6a496889ae8c63b58fbc57c3d7f33a18"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6af936f79086a89b3680a280c47ea90b4df7047b5bdf3aa5c524bbedddb9e545"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:3abc5b19d24af4b77d1598a585b8a719beb8569a71568b66f4ebe1fb0449460b"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:933d4de052939d90afbe6e9d5273ae05fb836cc86c15b686edd4b3560cc0ee36"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:65e720d2ab2b53f1f72fb5da5fb477455905ce2c88aaa671ff0a447c2c80e8e3"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3bf1ed55088f214ba6427484c59553123fdd9b218a42bbc8c6496d6754b1e523"}, + {file = "kiwisolver-1.4.7-cp311-cp311-win32.whl", hash = "sha256:4c00336b9dd5ad96d0a558fd18a8b6f711b7449acce4c157e7343ba92dd0cf3d"}, + {file = "kiwisolver-1.4.7-cp311-cp311-win_amd64.whl", hash = "sha256:929e294c1ac1e9f615c62a4e4313ca1823ba37326c164ec720a803287c4c499b"}, + {file = "kiwisolver-1.4.7-cp311-cp311-win_arm64.whl", hash = "sha256:e33e8fbd440c917106b237ef1a2f1449dfbb9b6f6e1ce17c94cd6a1e0d438376"}, + {file = "kiwisolver-1.4.7-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:5360cc32706dab3931f738d3079652d20982511f7c0ac5711483e6eab08efff2"}, + {file = "kiwisolver-1.4.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:942216596dc64ddb25adb215c3c783215b23626f8d84e8eff8d6d45c3f29f75a"}, + {file = "kiwisolver-1.4.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:48b571ecd8bae15702e4f22d3ff6a0f13e54d3d00cd25216d5e7f658242065ee"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad42ba922c67c5f219097b28fae965e10045ddf145d2928bfac2eb2e17673640"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:612a10bdae23404a72941a0fc8fa2660c6ea1217c4ce0dbcab8a8f6543ea9e7f"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e838bba3a3bac0fe06d849d29772eb1afb9745a59710762e4ba3f4cb8424483"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22f499f6157236c19f4bbbd472fa55b063db77a16cd74d49afe28992dff8c258"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693902d433cf585133699972b6d7c42a8b9f8f826ebcaf0132ff55200afc599e"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4e77f2126c3e0b0d055f44513ed349038ac180371ed9b52fe96a32aa071a5107"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:657a05857bda581c3656bfc3b20e353c232e9193eb167766ad2dc58b56504948"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4bfa75a048c056a411f9705856abfc872558e33c055d80af6a380e3658766038"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:34ea1de54beef1c104422d210c47c7d2a4999bdecf42c7b5718fbe59a4cac383"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:90da3b5f694b85231cf93586dad5e90e2d71b9428f9aad96952c99055582f520"}, + {file = "kiwisolver-1.4.7-cp312-cp312-win32.whl", hash = "sha256:18e0cca3e008e17fe9b164b55735a325140a5a35faad8de92dd80265cd5eb80b"}, + {file = "kiwisolver-1.4.7-cp312-cp312-win_amd64.whl", hash = "sha256:58cb20602b18f86f83a5c87d3ee1c766a79c0d452f8def86d925e6c60fbf7bfb"}, + {file = "kiwisolver-1.4.7-cp312-cp312-win_arm64.whl", hash = "sha256:f5a8b53bdc0b3961f8b6125e198617c40aeed638b387913bf1ce78afb1b0be2a"}, + {file = "kiwisolver-1.4.7-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2e6039dcbe79a8e0f044f1c39db1986a1b8071051efba3ee4d74f5b365f5226e"}, + {file = "kiwisolver-1.4.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a1ecf0ac1c518487d9d23b1cd7139a6a65bc460cd101ab01f1be82ecf09794b6"}, + {file = "kiwisolver-1.4.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7ab9ccab2b5bd5702ab0803676a580fffa2aa178c2badc5557a84cc943fcf750"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f816dd2277f8d63d79f9c8473a79fe54047bc0467754962840782c575522224d"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf8bcc23ceb5a1b624572a1623b9f79d2c3b337c8c455405ef231933a10da379"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dea0bf229319828467d7fca8c7c189780aa9ff679c94539eed7532ebe33ed37c"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c06a4c7cf15ec739ce0e5971b26c93638730090add60e183530d70848ebdd34"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913983ad2deb14e66d83c28b632fd35ba2b825031f2fa4ca29675e665dfecbe1"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5337ec7809bcd0f424c6b705ecf97941c46279cf5ed92311782c7c9c2026f07f"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4c26ed10c4f6fa6ddb329a5120ba3b6db349ca192ae211e882970bfc9d91420b"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c619b101e6de2222c1fcb0531e1b17bbffbe54294bfba43ea0d411d428618c27"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:073a36c8273647592ea332e816e75ef8da5c303236ec0167196793eb1e34657a"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:3ce6b2b0231bda412463e152fc18335ba32faf4e8c23a754ad50ffa70e4091ee"}, + {file = "kiwisolver-1.4.7-cp313-cp313-win32.whl", hash = "sha256:f4c9aee212bc89d4e13f58be11a56cc8036cabad119259d12ace14b34476fd07"}, + {file = "kiwisolver-1.4.7-cp313-cp313-win_amd64.whl", hash = "sha256:8a3ec5aa8e38fc4c8af308917ce12c536f1c88452ce554027e55b22cbbfbff76"}, + {file = "kiwisolver-1.4.7-cp313-cp313-win_arm64.whl", hash = "sha256:76c8094ac20ec259471ac53e774623eb62e6e1f56cd8690c67ce6ce4fcb05650"}, + {file = "kiwisolver-1.4.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5d5abf8f8ec1f4e22882273c423e16cae834c36856cac348cfbfa68e01c40f3a"}, + {file = "kiwisolver-1.4.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:aeb3531b196ef6f11776c21674dba836aeea9d5bd1cf630f869e3d90b16cfade"}, + {file = "kiwisolver-1.4.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b7d755065e4e866a8086c9bdada157133ff466476a2ad7861828e17b6026e22c"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08471d4d86cbaec61f86b217dd938a83d85e03785f51121e791a6e6689a3be95"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7bbfcb7165ce3d54a3dfbe731e470f65739c4c1f85bb1018ee912bae139e263b"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d34eb8494bea691a1a450141ebb5385e4b69d38bb8403b5146ad279f4b30fa3"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9242795d174daa40105c1d86aba618e8eab7bf96ba8c3ee614da8302a9f95503"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a0f64a48bb81af7450e641e3fe0b0394d7381e342805479178b3d335d60ca7cf"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:8e045731a5416357638d1700927529e2b8ab304811671f665b225f8bf8d8f933"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:4322872d5772cae7369f8351da1edf255a604ea7087fe295411397d0cfd9655e"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:e1631290ee9271dffe3062d2634c3ecac02c83890ada077d225e081aca8aab89"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:edcfc407e4eb17e037bca59be0e85a2031a2ac87e4fed26d3e9df88b4165f92d"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4d05d81ecb47d11e7f8932bd8b61b720bf0b41199358f3f5e36d38e28f0532c5"}, + {file = "kiwisolver-1.4.7-cp38-cp38-win32.whl", hash = "sha256:b38ac83d5f04b15e515fd86f312479d950d05ce2368d5413d46c088dda7de90a"}, + {file = "kiwisolver-1.4.7-cp38-cp38-win_amd64.whl", hash = "sha256:d83db7cde68459fc803052a55ace60bea2bae361fc3b7a6d5da07e11954e4b09"}, + {file = "kiwisolver-1.4.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3f9362ecfca44c863569d3d3c033dbe8ba452ff8eed6f6b5806382741a1334bd"}, + {file = "kiwisolver-1.4.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e8df2eb9b2bac43ef8b082e06f750350fbbaf2887534a5be97f6cf07b19d9583"}, + {file = "kiwisolver-1.4.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f32d6edbc638cde7652bd690c3e728b25332acbadd7cad670cc4a02558d9c417"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e2e6c39bd7b9372b0be21456caab138e8e69cc0fc1190a9dfa92bd45a1e6e904"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dda56c24d869b1193fcc763f1284b9126550eaf84b88bbc7256e15028f19188a"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79849239c39b5e1fd906556c474d9b0439ea6792b637511f3fe3a41158d89ca8"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5e3bc157fed2a4c02ec468de4ecd12a6e22818d4f09cde2c31ee3226ffbefab2"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3da53da805b71e41053dc670f9a820d1157aae77b6b944e08024d17bcd51ef88"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8705f17dfeb43139a692298cb6637ee2e59c0194538153e83e9ee0c75c2eddde"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:82a5c2f4b87c26bb1a0ef3d16b5c4753434633b83d365cc0ddf2770c93829e3c"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce8be0466f4c0d585cdb6c1e2ed07232221df101a4c6f28821d2aa754ca2d9e2"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:409afdfe1e2e90e6ee7fc896f3df9a7fec8e793e58bfa0d052c8a82f99c37abb"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5b9c3f4ee0b9a439d2415012bd1b1cc2df59e4d6a9939f4d669241d30b414327"}, + {file = "kiwisolver-1.4.7-cp39-cp39-win32.whl", hash = "sha256:a79ae34384df2b615eefca647a2873842ac3b596418032bef9a7283675962644"}, + {file = "kiwisolver-1.4.7-cp39-cp39-win_amd64.whl", hash = "sha256:cf0438b42121a66a3a667de17e779330fc0f20b0d97d59d2f2121e182b0505e4"}, + {file = "kiwisolver-1.4.7-cp39-cp39-win_arm64.whl", hash = "sha256:764202cc7e70f767dab49e8df52c7455e8de0df5d858fa801a11aa0d882ccf3f"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:94252291e3fe68001b1dd747b4c0b3be12582839b95ad4d1b641924d68fd4643"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5b7dfa3b546da08a9f622bb6becdb14b3e24aaa30adba66749d38f3cc7ea9706"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd3de6481f4ed8b734da5df134cd5a6a64fe32124fe83dde1e5b5f29fe30b1e6"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a91b5f9f1205845d488c928e8570dcb62b893372f63b8b6e98b863ebd2368ff2"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40fa14dbd66b8b8f470d5fc79c089a66185619d31645f9b0773b88b19f7223c4"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:eb542fe7933aa09d8d8f9d9097ef37532a7df6497819d16efe4359890a2f417a"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bfa1acfa0c54932d5607e19a2c24646fb4c1ae2694437789129cf099789a3b00"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:eee3ea935c3d227d49b4eb85660ff631556841f6e567f0f7bda972df6c2c9935"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f3160309af4396e0ed04db259c3ccbfdc3621b5559b5453075e5de555e1f3a1b"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a17f6a29cf8935e587cc8a4dbfc8368c55edc645283db0ce9801016f83526c2d"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10849fb2c1ecbfae45a693c070e0320a91b35dd4bcf58172c023b994283a124d"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:ac542bf38a8a4be2dc6b15248d36315ccc65f0743f7b1a76688ffb6b5129a5c2"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8b01aac285f91ca889c800042c35ad3b239e704b150cfd3382adfc9dcc780e39"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:48be928f59a1f5c8207154f935334d374e79f2b5d212826307d072595ad76a2e"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f37cfe618a117e50d8c240555331160d73d0411422b59b5ee217843d7b693608"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:599b5c873c63a1f6ed7eead644a8a380cfbdf5db91dcb6f85707aaab213b1674"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:801fa7802e5cfabe3ab0c81a34c323a319b097dfb5004be950482d882f3d7225"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0c6c43471bc764fad4bc99c5c2d6d16a676b1abf844ca7c8702bdae92df01ee0"}, + {file = "kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60"}, +] + +[[package]] +name = "markupsafe" +version = "2.1.5" +description = "Safely add untrusted strings to HTML/XML markup." +optional = false +python-versions = ">=3.7" +files = [ + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"}, + {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, +] + +[[package]] +name = "marshmallow" +version = "3.22.0" +description = "A lightweight library for converting complex datatypes to and from native Python datatypes." +optional = false +python-versions = ">=3.8" +files = [ + {file = "marshmallow-3.22.0-py3-none-any.whl", hash = "sha256:71a2dce49ef901c3f97ed296ae5051135fd3febd2bf43afe0ae9a82143a494d9"}, + {file = "marshmallow-3.22.0.tar.gz", hash = "sha256:4972f529104a220bb8637d595aa4c9762afbe7f7a77d82dc58c1615d70c5823e"}, +] + +[package.dependencies] +packaging = ">=17.0" + +[package.extras] +dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"] +tests = ["pytest", "pytz", "simplejson"] + +[[package]] +name = "matplotlib" +version = "3.9.2" +description = "Python plotting package" +optional = false +python-versions = ">=3.9" +files = [ + {file = "matplotlib-3.9.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9d78bbc0cbc891ad55b4f39a48c22182e9bdaea7fc0e5dbd364f49f729ca1bbb"}, + {file = "matplotlib-3.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c375cc72229614632c87355366bdf2570c2dac01ac66b8ad048d2dabadf2d0d4"}, + {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d94ff717eb2bd0b58fe66380bd8b14ac35f48a98e7c6765117fe67fb7684e64"}, + {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab68d50c06938ef28681073327795c5db99bb4666214d2d5f880ed11aeaded66"}, + {file = "matplotlib-3.9.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:65aacf95b62272d568044531e41de26285d54aec8cb859031f511f84bd8b495a"}, + {file = "matplotlib-3.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:3fd595f34aa8a55b7fc8bf9ebea8aa665a84c82d275190a61118d33fbc82ccae"}, + {file = "matplotlib-3.9.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d8dd059447824eec055e829258ab092b56bb0579fc3164fa09c64f3acd478772"}, + {file = "matplotlib-3.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c797dac8bb9c7a3fd3382b16fe8f215b4cf0f22adccea36f1545a6d7be310b41"}, + {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d719465db13267bcef19ea8954a971db03b9f48b4647e3860e4bc8e6ed86610f"}, + {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8912ef7c2362f7193b5819d17dae8629b34a95c58603d781329712ada83f9447"}, + {file = "matplotlib-3.9.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7741f26a58a240f43bee74965c4882b6c93df3e7eb3de160126d8c8f53a6ae6e"}, + {file = "matplotlib-3.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:ae82a14dab96fbfad7965403c643cafe6515e386de723e498cf3eeb1e0b70cc7"}, + {file = "matplotlib-3.9.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:ac43031375a65c3196bee99f6001e7fa5bdfb00ddf43379d3c0609bdca042df9"}, + {file = "matplotlib-3.9.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:be0fc24a5e4531ae4d8e858a1a548c1fe33b176bb13eff7f9d0d38ce5112a27d"}, + {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf81de2926c2db243c9b2cbc3917619a0fc85796c6ba4e58f541df814bbf83c7"}, + {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6ee45bc4245533111ced13f1f2cace1e7f89d1c793390392a80c139d6cf0e6c"}, + {file = "matplotlib-3.9.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:306c8dfc73239f0e72ac50e5a9cf19cc4e8e331dd0c54f5e69ca8758550f1e1e"}, + {file = "matplotlib-3.9.2-cp312-cp312-win_amd64.whl", hash = "sha256:5413401594cfaff0052f9d8b1aafc6d305b4bd7c4331dccd18f561ff7e1d3bd3"}, + {file = "matplotlib-3.9.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:18128cc08f0d3cfff10b76baa2f296fc28c4607368a8402de61bb3f2eb33c7d9"}, + {file = "matplotlib-3.9.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4876d7d40219e8ae8bb70f9263bcbe5714415acfdf781086601211335e24f8aa"}, + {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d9f07a80deab4bb0b82858a9e9ad53d1382fd122be8cde11080f4e7dfedb38b"}, + {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7c0410f181a531ec4e93bbc27692f2c71a15c2da16766f5ba9761e7ae518413"}, + {file = "matplotlib-3.9.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:909645cce2dc28b735674ce0931a4ac94e12f5b13f6bb0b5a5e65e7cea2c192b"}, + {file = "matplotlib-3.9.2-cp313-cp313-win_amd64.whl", hash = "sha256:f32c7410c7f246838a77d6d1eff0c0f87f3cb0e7c4247aebea71a6d5a68cab49"}, + {file = "matplotlib-3.9.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:37e51dd1c2db16ede9cfd7b5cabdfc818b2c6397c83f8b10e0e797501c963a03"}, + {file = "matplotlib-3.9.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b82c5045cebcecd8496a4d694d43f9cc84aeeb49fe2133e036b207abe73f4d30"}, + {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f053c40f94bc51bc03832a41b4f153d83f2062d88c72b5e79997072594e97e51"}, + {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dbe196377a8248972f5cede786d4c5508ed5f5ca4a1e09b44bda889958b33f8c"}, + {file = "matplotlib-3.9.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5816b1e1fe8c192cbc013f8f3e3368ac56fbecf02fb41b8f8559303f24c5015e"}, + {file = "matplotlib-3.9.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:cef2a73d06601437be399908cf13aee74e86932a5ccc6ccdf173408ebc5f6bb2"}, + {file = "matplotlib-3.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e0830e188029c14e891fadd99702fd90d317df294c3298aad682739c5533721a"}, + {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ba9c1299c920964e8d3857ba27173b4dbb51ca4bab47ffc2c2ba0eb5e2cbc5"}, + {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd93b91ab47a3616b4d3c42b52f8363b88ca021e340804c6ab2536344fad9ca"}, + {file = "matplotlib-3.9.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6d1ce5ed2aefcdce11904fc5bbea7d9c21fff3d5f543841edf3dea84451a09ea"}, + {file = "matplotlib-3.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:b2696efdc08648536efd4e1601b5fd491fd47f4db97a5fbfd175549a7365c1b2"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d52a3b618cb1cbb769ce2ee1dcdb333c3ab6e823944e9a2d36e37253815f9556"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:039082812cacd6c6bec8e17a9c1e6baca230d4116d522e81e1f63a74d01d2e21"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6758baae2ed64f2331d4fd19be38b7b4eae3ecec210049a26b6a4f3ae1c85dcc"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:050598c2b29e0b9832cde72bcf97627bf00262adbc4a54e2b856426bb2ef0697"}, + {file = "matplotlib-3.9.2.tar.gz", hash = "sha256:96ab43906269ca64a6366934106fa01534454a69e471b7bf3d79083981aaab92"}, +] + +[package.dependencies] +contourpy = ">=1.0.1" +cycler = ">=0.10" +fonttools = ">=4.22.0" +kiwisolver = ">=1.3.1" +numpy = ">=1.23" +packaging = ">=20.0" +pillow = ">=8" +pyparsing = ">=2.3.1" +python-dateutil = ">=2.7" + +[package.extras] +dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"] + +[[package]] +name = "matplotlib-inline" +version = "0.1.7" +description = "Inline Matplotlib backend for Jupyter" +optional = false +python-versions = ">=3.8" +files = [ + {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, + {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"}, +] + +[package.dependencies] +traitlets = "*" + +[[package]] +name = "mistune" +version = "3.0.2" +description = "A sane and fast Markdown parser with useful plugins and renderers" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"}, + {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"}, +] + +[[package]] +name = "nbclient" +version = "0.10.0" +description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"}, + {file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"}, +] + +[package.dependencies] +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +nbformat = ">=5.1" +traitlets = ">=5.4" + +[package.extras] +dev = ["pre-commit"] +docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"] +test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] + +[[package]] +name = "nbconvert" +version = "7.16.4" +description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." +optional = false +python-versions = ">=3.8" +files = [ + {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"}, + {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"}, +] + +[package.dependencies] +beautifulsoup4 = "*" +bleach = "!=5.0.0" +defusedxml = "*" +jinja2 = ">=3.0" +jupyter-core = ">=4.7" +jupyterlab-pygments = "*" +markupsafe = ">=2.0" +mistune = ">=2.0.3,<4" +nbclient = ">=0.5.0" +nbformat = ">=5.7" +packaging = "*" +pandocfilters = ">=1.4.1" +pygments = ">=2.4.1" +tinycss2 = "*" +traitlets = ">=5.1" + +[package.extras] +all = ["flaky", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (==5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"] +docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"] +qtpdf = ["pyqtwebengine (>=5.15)"] +qtpng = ["pyqtwebengine (>=5.15)"] +serve = ["tornado (>=6.1)"] +test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"] +webpdf = ["playwright"] + +[[package]] +name = "nbformat" +version = "5.10.4" +description = "The Jupyter Notebook format" +optional = false +python-versions = ">=3.8" +files = [ + {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, + {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, +] + +[package.dependencies] +fastjsonschema = ">=2.15" +jsonschema = ">=2.6" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +traitlets = ">=5.1" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["pep440", "pre-commit", "pytest", "testpath"] + +[[package]] +name = "nest-asyncio" +version = "1.6.0" +description = "Patch asyncio to allow nested event loops" +optional = false +python-versions = ">=3.5" +files = [ + {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, + {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, +] + +[[package]] +name = "notebook" +version = "7.2.2" +description = "Jupyter Notebook - A web-based notebook environment for interactive computing" +optional = false +python-versions = ">=3.8" +files = [ + {file = "notebook-7.2.2-py3-none-any.whl", hash = "sha256:c89264081f671bc02eec0ed470a627ed791b9156cad9285226b31611d3e9fe1c"}, + {file = "notebook-7.2.2.tar.gz", hash = "sha256:2ef07d4220421623ad3fe88118d687bc0450055570cdd160814a59cf3a1c516e"}, +] + +[package.dependencies] +jupyter-server = ">=2.4.0,<3" +jupyterlab = ">=4.2.0,<4.3" +jupyterlab-server = ">=2.27.1,<3" +notebook-shim = ">=0.2,<0.3" +tornado = ">=6.2.0" + +[package.extras] +dev = ["hatch", "pre-commit"] +docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] + +[[package]] +name = "notebook-shim" +version = "0.2.4" +description = "A shim layer for notebook traits and config" +optional = false +python-versions = ">=3.7" +files = [ + {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, + {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"}, +] + +[package.dependencies] +jupyter-server = ">=1.8,<3" + +[package.extras] +test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"] + +[[package]] +name = "numpy" +version = "2.1.0" +description = "Fundamental package for array computing in Python" +optional = false +python-versions = ">=3.10" +files = [ + {file = "numpy-2.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6326ab99b52fafdcdeccf602d6286191a79fe2fda0ae90573c5814cd2b0bc1b8"}, + {file = "numpy-2.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0937e54c09f7a9a68da6889362ddd2ff584c02d015ec92672c099b61555f8911"}, + {file = "numpy-2.1.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:30014b234f07b5fec20f4146f69e13cfb1e33ee9a18a1879a0142fbb00d47673"}, + {file = "numpy-2.1.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:899da829b362ade41e1e7eccad2cf274035e1cb36ba73034946fccd4afd8606b"}, + {file = "numpy-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08801848a40aea24ce16c2ecde3b756f9ad756586fb2d13210939eb69b023f5b"}, + {file = "numpy-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:398049e237d1aae53d82a416dade04defed1a47f87d18d5bd615b6e7d7e41d1f"}, + {file = "numpy-2.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0abb3916a35d9090088a748636b2c06dc9a6542f99cd476979fb156a18192b84"}, + {file = "numpy-2.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:10e2350aea18d04832319aac0f887d5fcec1b36abd485d14f173e3e900b83e33"}, + {file = "numpy-2.1.0-cp310-cp310-win32.whl", hash = "sha256:f6b26e6c3b98adb648243670fddc8cab6ae17473f9dc58c51574af3e64d61211"}, + {file = "numpy-2.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:f505264735ee074250a9c78247ee8618292091d9d1fcc023290e9ac67e8f1afa"}, + {file = "numpy-2.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:76368c788ccb4f4782cf9c842b316140142b4cbf22ff8db82724e82fe1205dce"}, + {file = "numpy-2.1.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:f8e93a01a35be08d31ae33021e5268f157a2d60ebd643cfc15de6ab8e4722eb1"}, + {file = "numpy-2.1.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:9523f8b46485db6939bd069b28b642fec86c30909cea90ef550373787f79530e"}, + {file = "numpy-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54139e0eb219f52f60656d163cbe67c31ede51d13236c950145473504fa208cb"}, + {file = "numpy-2.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5ebbf9fbdabed208d4ecd2e1dfd2c0741af2f876e7ae522c2537d404ca895c3"}, + {file = "numpy-2.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:378cb4f24c7d93066ee4103204f73ed046eb88f9ad5bb2275bb9fa0f6a02bd36"}, + {file = "numpy-2.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d8f699a709120b220dfe173f79c73cb2a2cab2c0b88dd59d7b49407d032b8ebd"}, + {file = "numpy-2.1.0-cp311-cp311-win32.whl", hash = "sha256:ffbd6faeb190aaf2b5e9024bac9622d2ee549b7ec89ef3a9373fa35313d44e0e"}, + {file = "numpy-2.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:0af3a5987f59d9c529c022c8c2a64805b339b7ef506509fba7d0556649b9714b"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:fe76d75b345dc045acdbc006adcb197cc680754afd6c259de60d358d60c93736"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f358ea9e47eb3c2d6eba121ab512dfff38a88db719c38d1e67349af210bc7529"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:dd94ce596bda40a9618324547cfaaf6650b1a24f5390350142499aa4e34e53d1"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b47c551c6724960479cefd7353656498b86e7232429e3a41ab83be4da1b109e8"}, + {file = "numpy-2.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0756a179afa766ad7cb6f036de622e8a8f16ffdd55aa31f296c870b5679d745"}, + {file = "numpy-2.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24003ba8ff22ea29a8c306e61d316ac74111cebf942afbf692df65509a05f111"}, + {file = "numpy-2.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b34fa5e3b5d6dc7e0a4243fa0f81367027cb6f4a7215a17852979634b5544ee0"}, + {file = "numpy-2.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c4f982715e65036c34897eb598d64aef15150c447be2cfc6643ec7a11af06574"}, + {file = "numpy-2.1.0-cp312-cp312-win32.whl", hash = "sha256:c4cd94dfefbefec3f8b544f61286584292d740e6e9d4677769bc76b8f41deb02"}, + {file = "numpy-2.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0cdef204199278f5c461a0bed6ed2e052998276e6d8ab2963d5b5c39a0500bc"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8ab81ccd753859ab89e67199b9da62c543850f819993761c1e94a75a814ed667"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:442596f01913656d579309edcd179a2a2f9977d9a14ff41d042475280fc7f34e"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:848c6b5cad9898e4b9ef251b6f934fa34630371f2e916261070a4eb9092ffd33"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:54c6a63e9d81efe64bfb7bcb0ec64332a87d0b87575f6009c8ba67ea6374770b"}, + {file = "numpy-2.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:652e92fc409e278abdd61e9505649e3938f6d04ce7ef1953f2ec598a50e7c195"}, + {file = "numpy-2.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ab32eb9170bf8ffcbb14f11613f4a0b108d3ffee0832457c5d4808233ba8977"}, + {file = "numpy-2.1.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:8fb49a0ba4d8f41198ae2d52118b050fd34dace4b8f3fb0ee34e23eb4ae775b1"}, + {file = "numpy-2.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:44e44973262dc3ae79e9063a1284a73e09d01b894b534a769732ccd46c28cc62"}, + {file = "numpy-2.1.0-cp313-cp313-win32.whl", hash = "sha256:ab83adc099ec62e044b1fbb3a05499fa1e99f6d53a1dde102b2d85eff66ed324"}, + {file = "numpy-2.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:de844aaa4815b78f6023832590d77da0e3b6805c644c33ce94a1e449f16d6ab5"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:343e3e152bf5a087511cd325e3b7ecfd5b92d369e80e74c12cd87826e263ec06"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f07fa2f15dabe91259828ce7d71b5ca9e2eb7c8c26baa822c825ce43552f4883"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5474dad8c86ee9ba9bb776f4b99ef2d41b3b8f4e0d199d4f7304728ed34d0300"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:1f817c71683fd1bb5cff1529a1d085a57f02ccd2ebc5cd2c566f9a01118e3b7d"}, + {file = "numpy-2.1.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a3336fbfa0d38d3deacd3fe7f3d07e13597f29c13abf4d15c3b6dc2291cbbdd"}, + {file = "numpy-2.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a894c51fd8c4e834f00ac742abad73fc485df1062f1b875661a3c1e1fb1c2f6"}, + {file = "numpy-2.1.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:9156ca1f79fc4acc226696e95bfcc2b486f165a6a59ebe22b2c1f82ab190384a"}, + {file = "numpy-2.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:624884b572dff8ca8f60fab591413f077471de64e376b17d291b19f56504b2bb"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:15ef8b2177eeb7e37dd5ef4016f30b7659c57c2c0b57a779f1d537ff33a72c7b"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:e5f0642cdf4636198a4990de7a71b693d824c56a757862230454629cf62e323d"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f15976718c004466406342789f31b6673776360f3b1e3c575f25302d7e789575"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:6c1de77ded79fef664d5098a66810d4d27ca0224e9051906e634b3f7ead134c2"}, + {file = "numpy-2.1.0.tar.gz", hash = "sha256:7dc90da0081f7e1da49ec4e398ede6a8e9cc4f5ebe5f9e06b443ed889ee9aaa2"}, +] + +[[package]] +name = "overrides" +version = "7.7.0" +description = "A decorator to automatically detect mismatch when overriding a method." +optional = false +python-versions = ">=3.6" +files = [ + {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"}, + {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"}, +] + +[[package]] +name = "packaging" +version = "24.1" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.8" +files = [ + {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"}, + {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, +] + +[[package]] +name = "pandas" +version = "2.2.2" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.9" +files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, + {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, + {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, + {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, + {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"}, + {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"}, + {file = "pandas-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288"}, + {file = "pandas-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151"}, + {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b"}, + {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee"}, + {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db"}, + {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1"}, + {file = "pandas-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24"}, + {file = "pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef"}, + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, + {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad"}, + {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad"}, + {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76"}, + {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, + {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"}, + {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"}, + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, + {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"}, + {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"}, + {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, + {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57"}, + {file = "pandas-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4"}, + {file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"}, +] + +[package.dependencies] +numpy = {version = ">=1.26.0", markers = "python_version >= \"3.12\""} +python-dateutil = ">=2.8.2" +pytz = ">=2020.1" +tzdata = ">=2022.7" + +[package.extras] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] +aws = ["s3fs (>=2022.11.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] +compression = ["zstandard (>=0.19.0)"] +computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] +feather = ["pyarrow (>=10.0.1)"] +fss = ["fsspec (>=2022.11.0)"] +gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] +hdf5 = ["tables (>=3.8.0)"] +html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] +mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=10.0.1)"] +performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] +plot = ["matplotlib (>=3.6.3)"] +postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] +pyarrow = ["pyarrow (>=10.0.1)"] +spss = ["pyreadstat (>=1.2.0)"] +sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.9.2)"] + +[[package]] +name = "pandocfilters" +version = "1.5.1" +description = "Utilities for writing pandoc filters in python" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, + {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, +] + +[[package]] +name = "parso" +version = "0.8.4" +description = "A Python Parser" +optional = false +python-versions = ">=3.6" +files = [ + {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"}, + {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"}, +] + +[package.extras] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["docopt", "pytest"] + +[[package]] +name = "pexpect" +version = "4.9.0" +description = "Pexpect allows easy control of interactive console applications." +optional = false +python-versions = "*" +files = [ + {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, + {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, +] + +[package.dependencies] +ptyprocess = ">=0.5" + +[[package]] +name = "pillow" +version = "10.4.0" +description = "Python Imaging Library (Fork)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"}, + {file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"}, + {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"}, + {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"}, + {file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"}, + {file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"}, + {file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"}, + {file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"}, + {file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"}, + {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"}, + {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"}, + {file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"}, + {file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"}, + {file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"}, + {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"}, + {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"}, + {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"}, + {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"}, + {file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"}, + {file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"}, + {file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"}, + {file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"}, + {file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"}, + {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"}, + {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"}, + {file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"}, + {file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"}, + {file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"}, + {file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"}, + {file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"}, + {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"}, + {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"}, + {file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"}, + {file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"}, + {file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"}, + {file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"}, + {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"}, + {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"}, + {file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"}, + {file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"}, + {file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"}, + {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"}, +] + +[package.extras] +docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] +fpx = ["olefile"] +mic = ["olefile"] +tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] +typing = ["typing-extensions"] +xmp = ["defusedxml"] + +[[package]] +name = "platformdirs" +version = "4.2.2" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." +optional = false +python-versions = ">=3.8" +files = [ + {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"}, + {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"}, +] + +[package.extras] +docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] +type = ["mypy (>=1.8)"] + +[[package]] +name = "prometheus-client" +version = "0.20.0" +description = "Python client for the Prometheus monitoring system." +optional = false +python-versions = ">=3.8" +files = [ + {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"}, + {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"}, +] + +[package.extras] +twisted = ["twisted"] + +[[package]] +name = "prompt-toolkit" +version = "3.0.47" +description = "Library for building powerful interactive command lines in Python" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"}, + {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"}, +] + +[package.dependencies] +wcwidth = "*" + +[[package]] +name = "psutil" +version = "6.0.0" +description = "Cross-platform lib for process and system monitoring in Python." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "psutil-6.0.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6"}, + {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:1287c2b95f1c0a364d23bc6f2ea2365a8d4d9b726a3be7294296ff7ba97c17f0"}, + {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:a9a3dbfb4de4f18174528d87cc352d1f788b7496991cca33c6996f40c9e3c92c"}, + {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:6ec7588fb3ddaec7344a825afe298db83fe01bfaaab39155fa84cf1c0d6b13c3"}, + {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:1e7c870afcb7d91fdea2b37c24aeb08f98b6d67257a5cb0a8bc3ac68d0f1a68c"}, + {file = "psutil-6.0.0-cp27-none-win32.whl", hash = "sha256:02b69001f44cc73c1c5279d02b30a817e339ceb258ad75997325e0e6169d8b35"}, + {file = "psutil-6.0.0-cp27-none-win_amd64.whl", hash = "sha256:21f1fb635deccd510f69f485b87433460a603919b45e2a324ad65b0cc74f8fb1"}, + {file = "psutil-6.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0"}, + {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0"}, + {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd9a97c8e94059b0ef54a7d4baf13b405011176c3b6ff257c247cae0d560ecd"}, + {file = "psutil-6.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e8d0054fc88153ca0544f5c4d554d42e33df2e009c4ff42284ac9ebdef4132"}, + {file = "psutil-6.0.0-cp36-cp36m-win32.whl", hash = "sha256:fc8c9510cde0146432bbdb433322861ee8c3efbf8589865c8bf8d21cb30c4d14"}, + {file = "psutil-6.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:34859b8d8f423b86e4385ff3665d3f4d94be3cdf48221fbe476e883514fdb71c"}, + {file = "psutil-6.0.0-cp37-abi3-win32.whl", hash = "sha256:a495580d6bae27291324fe60cea0b5a7c23fa36a7cd35035a16d93bdcf076b9d"}, + {file = "psutil-6.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:33ea5e1c975250a720b3a6609c490db40dae5d83a4eb315170c4fe0d8b1f34b3"}, + {file = "psutil-6.0.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:ffe7fc9b6b36beadc8c322f84e1caff51e8703b88eee1da46d1e3a6ae11b4fd0"}, + {file = "psutil-6.0.0.tar.gz", hash = "sha256:8faae4f310b6d969fa26ca0545338b21f73c6b15db7c4a8d934a5482faa818f2"}, +] + +[package.extras] +test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +description = "Run a subprocess in a pseudo terminal" +optional = false +python-versions = "*" +files = [ + {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, + {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, +] + +[[package]] +name = "pure-eval" +version = "0.2.3" +description = "Safely evaluate AST nodes without side effects" +optional = false +python-versions = "*" +files = [ + {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, + {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, +] + +[package.extras] +tests = ["pytest"] + +[[package]] +name = "pycparser" +version = "2.22" +description = "C parser in Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, + {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, +] + +[[package]] +name = "pygments" +version = "2.18.0" +description = "Pygments is a syntax highlighting package written in Python." +optional = false +python-versions = ">=3.8" +files = [ + {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"}, + {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"}, +] + +[package.extras] +windows-terminal = ["colorama (>=0.4.6)"] + +[[package]] +name = "pyparsing" +version = "3.1.4" +description = "pyparsing module - Classes and methods to define and execute parsing grammars" +optional = false +python-versions = ">=3.6.8" +files = [ + {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"}, + {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"}, +] + +[package.extras] +diagrams = ["jinja2", "railroad-diagrams"] + +[[package]] +name = "python-dateutil" +version = "2.9.0.post0" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +files = [ + {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, + {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "python-json-logger" +version = "2.0.7" +description = "A python library adding a json log formatter" +optional = false +python-versions = ">=3.6" +files = [ + {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"}, + {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"}, +] + +[[package]] +name = "pytz" +version = "2024.1" +description = "World timezone definitions, modern and historical" +optional = false +python-versions = "*" +files = [ + {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"}, + {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"}, +] + +[[package]] +name = "pywin32" +version = "306" +description = "Python for Window Extensions" +optional = false +python-versions = "*" +files = [ + {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"}, + {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"}, + {file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"}, + {file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"}, + {file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"}, + {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"}, + {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"}, + {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"}, + {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"}, + {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"}, + {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"}, + {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"}, + {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"}, + {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"}, +] + +[[package]] +name = "pywinpty" +version = "2.0.13" +description = "Pseudo terminal support for Windows from Python." +optional = false +python-versions = ">=3.8" +files = [ + {file = "pywinpty-2.0.13-cp310-none-win_amd64.whl", hash = "sha256:697bff211fb5a6508fee2dc6ff174ce03f34a9a233df9d8b5fe9c8ce4d5eaf56"}, + {file = "pywinpty-2.0.13-cp311-none-win_amd64.whl", hash = "sha256:b96fb14698db1284db84ca38c79f15b4cfdc3172065b5137383910567591fa99"}, + {file = "pywinpty-2.0.13-cp312-none-win_amd64.whl", hash = "sha256:2fd876b82ca750bb1333236ce98488c1be96b08f4f7647cfdf4129dfad83c2d4"}, + {file = "pywinpty-2.0.13-cp38-none-win_amd64.whl", hash = "sha256:61d420c2116c0212808d31625611b51caf621fe67f8a6377e2e8b617ea1c1f7d"}, + {file = "pywinpty-2.0.13-cp39-none-win_amd64.whl", hash = "sha256:71cb613a9ee24174730ac7ae439fd179ca34ccb8c5349e8d7b72ab5dea2c6f4b"}, + {file = "pywinpty-2.0.13.tar.gz", hash = "sha256:c34e32351a3313ddd0d7da23d27f835c860d32fe4ac814d372a3ea9594f41dde"}, +] + +[[package]] +name = "pyyaml" +version = "6.0.2" +description = "YAML parser and emitter for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, + {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"}, + {file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"}, + {file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"}, + {file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"}, + {file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"}, + {file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"}, + {file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"}, + {file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"}, + {file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"}, + {file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"}, + {file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"}, + {file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"}, + {file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"}, + {file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"}, + {file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"}, + {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"}, +] + +[[package]] +name = "pyzmq" +version = "26.2.0" +description = "Python bindings for 0MQ" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ddf33d97d2f52d89f6e6e7ae66ee35a4d9ca6f36eda89c24591b0c40205a3629"}, + {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dacd995031a01d16eec825bf30802fceb2c3791ef24bcce48fa98ce40918c27b"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89289a5ee32ef6c439086184529ae060c741334b8970a6855ec0b6ad3ff28764"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5506f06d7dc6ecf1efacb4a013b1f05071bb24b76350832c96449f4a2d95091c"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ea039387c10202ce304af74def5021e9adc6297067f3441d348d2b633e8166a"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a2224fa4a4c2ee872886ed00a571f5e967c85e078e8e8c2530a2fb01b3309b88"}, + {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:28ad5233e9c3b52d76196c696e362508959741e1a005fb8fa03b51aea156088f"}, + {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:1c17211bc037c7d88e85ed8b7d8f7e52db6dc8eca5590d162717c654550f7282"}, + {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b8f86dd868d41bea9a5f873ee13bf5551c94cf6bc51baebc6f85075971fe6eea"}, + {file = "pyzmq-26.2.0-cp310-cp310-win32.whl", hash = "sha256:46a446c212e58456b23af260f3d9fb785054f3e3653dbf7279d8f2b5546b21c2"}, + {file = "pyzmq-26.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:49d34ab71db5a9c292a7644ce74190b1dd5a3475612eefb1f8be1d6961441971"}, + {file = "pyzmq-26.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:bfa832bfa540e5b5c27dcf5de5d82ebc431b82c453a43d141afb1e5d2de025fa"}, + {file = "pyzmq-26.2.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:8f7e66c7113c684c2b3f1c83cdd3376103ee0ce4c49ff80a648643e57fb22218"}, + {file = "pyzmq-26.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3a495b30fc91db2db25120df5847d9833af237546fd59170701acd816ccc01c4"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77eb0968da535cba0470a5165468b2cac7772cfb569977cff92e240f57e31bef"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ace4f71f1900a548f48407fc9be59c6ba9d9aaf658c2eea6cf2779e72f9f317"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:92a78853d7280bffb93df0a4a6a2498cba10ee793cc8076ef797ef2f74d107cf"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:689c5d781014956a4a6de61d74ba97b23547e431e9e7d64f27d4922ba96e9d6e"}, + {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0aca98bc423eb7d153214b2df397c6421ba6373d3397b26c057af3c904452e37"}, + {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:1f3496d76b89d9429a656293744ceca4d2ac2a10ae59b84c1da9b5165f429ad3"}, + {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5c2b3bfd4b9689919db068ac6c9911f3fcb231c39f7dd30e3138be94896d18e6"}, + {file = "pyzmq-26.2.0-cp311-cp311-win32.whl", hash = "sha256:eac5174677da084abf378739dbf4ad245661635f1600edd1221f150b165343f4"}, + {file = "pyzmq-26.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:5a509df7d0a83a4b178d0f937ef14286659225ef4e8812e05580776c70e155d5"}, + {file = "pyzmq-26.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:c0e6091b157d48cbe37bd67233318dbb53e1e6327d6fc3bb284afd585d141003"}, + {file = "pyzmq-26.2.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:ded0fc7d90fe93ae0b18059930086c51e640cdd3baebdc783a695c77f123dcd9"}, + {file = "pyzmq-26.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17bf5a931c7f6618023cdacc7081f3f266aecb68ca692adac015c383a134ca52"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55cf66647e49d4621a7e20c8d13511ef1fe1efbbccf670811864452487007e08"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4661c88db4a9e0f958c8abc2b97472e23061f0bc737f6f6179d7a27024e1faa5"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea7f69de383cb47522c9c208aec6dd17697db7875a4674c4af3f8cfdac0bdeae"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:7f98f6dfa8b8ccaf39163ce872bddacca38f6a67289116c8937a02e30bbe9711"}, + {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e3e0210287329272539eea617830a6a28161fbbd8a3271bf4150ae3e58c5d0e6"}, + {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6b274e0762c33c7471f1a7471d1a2085b1a35eba5cdc48d2ae319f28b6fc4de3"}, + {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:29c6a4635eef69d68a00321e12a7d2559fe2dfccfa8efae3ffb8e91cd0b36a8b"}, + {file = "pyzmq-26.2.0-cp312-cp312-win32.whl", hash = "sha256:989d842dc06dc59feea09e58c74ca3e1678c812a4a8a2a419046d711031f69c7"}, + {file = "pyzmq-26.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:2a50625acdc7801bc6f74698c5c583a491c61d73c6b7ea4dee3901bb99adb27a"}, + {file = "pyzmq-26.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d29ab8592b6ad12ebbf92ac2ed2bedcfd1cec192d8e559e2e099f648570e19b"}, + {file = "pyzmq-26.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9dd8cd1aeb00775f527ec60022004d030ddc51d783d056e3e23e74e623e33726"}, + {file = "pyzmq-26.2.0-cp313-cp313-macosx_10_15_universal2.whl", hash = "sha256:28c812d9757fe8acecc910c9ac9dafd2ce968c00f9e619db09e9f8f54c3a68a3"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d80b1dd99c1942f74ed608ddb38b181b87476c6a966a88a950c7dee118fdf50"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c997098cc65e3208eca09303630e84d42718620e83b733d0fd69543a9cab9cb"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ad1bc8d1b7a18497dda9600b12dc193c577beb391beae5cd2349184db40f187"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:bea2acdd8ea4275e1278350ced63da0b166421928276c7c8e3f9729d7402a57b"}, + {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:23f4aad749d13698f3f7b64aad34f5fc02d6f20f05999eebc96b89b01262fb18"}, + {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:a4f96f0d88accc3dbe4a9025f785ba830f968e21e3e2c6321ccdfc9aef755115"}, + {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ced65e5a985398827cc9276b93ef6dfabe0273c23de8c7931339d7e141c2818e"}, + {file = "pyzmq-26.2.0-cp313-cp313-win32.whl", hash = "sha256:31507f7b47cc1ead1f6e86927f8ebb196a0bab043f6345ce070f412a59bf87b5"}, + {file = "pyzmq-26.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:70fc7fcf0410d16ebdda9b26cbd8bf8d803d220a7f3522e060a69a9c87bf7bad"}, + {file = "pyzmq-26.2.0-cp313-cp313-win_arm64.whl", hash = "sha256:c3789bd5768ab5618ebf09cef6ec2b35fed88709b104351748a63045f0ff9797"}, + {file = "pyzmq-26.2.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:034da5fc55d9f8da09015d368f519478a52675e558c989bfcb5cf6d4e16a7d2a"}, + {file = "pyzmq-26.2.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:c92d73464b886931308ccc45b2744e5968cbaade0b1d6aeb40d8ab537765f5bc"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:794a4562dcb374f7dbbfb3f51d28fb40123b5a2abadee7b4091f93054909add5"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aee22939bb6075e7afededabad1a56a905da0b3c4e3e0c45e75810ebe3a52672"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ae90ff9dad33a1cfe947d2c40cb9cb5e600d759ac4f0fd22616ce6540f72797"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:43a47408ac52647dfabbc66a25b05b6a61700b5165807e3fbd40063fcaf46386"}, + {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:25bf2374a2a8433633c65ccb9553350d5e17e60c8eb4de4d92cc6bd60f01d306"}, + {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_i686.whl", hash = "sha256:007137c9ac9ad5ea21e6ad97d3489af654381324d5d3ba614c323f60dab8fae6"}, + {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:470d4a4f6d48fb34e92d768b4e8a5cc3780db0d69107abf1cd7ff734b9766eb0"}, + {file = "pyzmq-26.2.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3b55a4229ce5da9497dd0452b914556ae58e96a4381bb6f59f1305dfd7e53fc8"}, + {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9cb3a6460cdea8fe8194a76de8895707e61ded10ad0be97188cc8463ffa7e3a8"}, + {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8ab5cad923cc95c87bffee098a27856c859bd5d0af31bd346035aa816b081fe1"}, + {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ed69074a610fad1c2fda66180e7b2edd4d31c53f2d1872bc2d1211563904cd9"}, + {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:cccba051221b916a4f5e538997c45d7d136a5646442b1231b916d0164067ea27"}, + {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:0eaa83fc4c1e271c24eaf8fb083cbccef8fde77ec8cd45f3c35a9a123e6da097"}, + {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:9edda2df81daa129b25a39b86cb57dfdfe16f7ec15b42b19bfac503360d27a93"}, + {file = "pyzmq-26.2.0-cp37-cp37m-win32.whl", hash = "sha256:ea0eb6af8a17fa272f7b98d7bebfab7836a0d62738e16ba380f440fceca2d951"}, + {file = "pyzmq-26.2.0-cp37-cp37m-win_amd64.whl", hash = "sha256:4ff9dc6bc1664bb9eec25cd17506ef6672d506115095411e237d571e92a58231"}, + {file = "pyzmq-26.2.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:2eb7735ee73ca1b0d71e0e67c3739c689067f055c764f73aac4cc8ecf958ee3f"}, + {file = "pyzmq-26.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1a534f43bc738181aa7cbbaf48e3eca62c76453a40a746ab95d4b27b1111a7d2"}, + {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:aedd5dd8692635813368e558a05266b995d3d020b23e49581ddd5bbe197a8ab6"}, + {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8be4700cd8bb02cc454f630dcdf7cfa99de96788b80c51b60fe2fe1dac480289"}, + {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fcc03fa4997c447dce58264e93b5aa2d57714fbe0f06c07b7785ae131512732"}, + {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:402b190912935d3db15b03e8f7485812db350d271b284ded2b80d2e5704be780"}, + {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8685fa9c25ff00f550c1fec650430c4b71e4e48e8d852f7ddcf2e48308038640"}, + {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:76589c020680778f06b7e0b193f4b6dd66d470234a16e1df90329f5e14a171cd"}, + {file = "pyzmq-26.2.0-cp38-cp38-win32.whl", hash = "sha256:8423c1877d72c041f2c263b1ec6e34360448decfb323fa8b94e85883043ef988"}, + {file = "pyzmq-26.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:76589f2cd6b77b5bdea4fca5992dc1c23389d68b18ccc26a53680ba2dc80ff2f"}, + {file = "pyzmq-26.2.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:b1d464cb8d72bfc1a3adc53305a63a8e0cac6bc8c5a07e8ca190ab8d3faa43c2"}, + {file = "pyzmq-26.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4da04c48873a6abdd71811c5e163bd656ee1b957971db7f35140a2d573f6949c"}, + {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d049df610ac811dcffdc147153b414147428567fbbc8be43bb8885f04db39d98"}, + {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:05590cdbc6b902101d0e65d6a4780af14dc22914cc6ab995d99b85af45362cc9"}, + {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c811cfcd6a9bf680236c40c6f617187515269ab2912f3d7e8c0174898e2519db"}, + {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6835dd60355593de10350394242b5757fbbd88b25287314316f266e24c61d073"}, + {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc6bee759a6bddea5db78d7dcd609397449cb2d2d6587f48f3ca613b19410cfc"}, + {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c530e1eecd036ecc83c3407f77bb86feb79916d4a33d11394b8234f3bd35b940"}, + {file = "pyzmq-26.2.0-cp39-cp39-win32.whl", hash = "sha256:367b4f689786fca726ef7a6c5ba606958b145b9340a5e4808132cc65759abd44"}, + {file = "pyzmq-26.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:e6fa2e3e683f34aea77de8112f6483803c96a44fd726d7358b9888ae5bb394ec"}, + {file = "pyzmq-26.2.0-cp39-cp39-win_arm64.whl", hash = "sha256:7445be39143a8aa4faec43b076e06944b8f9d0701b669df4af200531b21e40bb"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:706e794564bec25819d21a41c31d4df2d48e1cc4b061e8d345d7fb4dd3e94072"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b435f2753621cd36e7c1762156815e21c985c72b19135dac43a7f4f31d28dd1"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:160c7e0a5eb178011e72892f99f918c04a131f36056d10d9c1afb223fc952c2d"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c4a71d5d6e7b28a47a394c0471b7e77a0661e2d651e7ae91e0cab0a587859ca"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:90412f2db8c02a3864cbfc67db0e3dcdbda336acf1c469526d3e869394fe001c"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2ea4ad4e6a12e454de05f2949d4beddb52460f3de7c8b9d5c46fbb7d7222e02c"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fc4f7a173a5609631bb0c42c23d12c49df3966f89f496a51d3eb0ec81f4519d6"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:878206a45202247781472a2d99df12a176fef806ca175799e1c6ad263510d57c"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17c412bad2eb9468e876f556eb4ee910e62d721d2c7a53c7fa31e643d35352e6"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:0d987a3ae5a71c6226b203cfd298720e0086c7fe7c74f35fa8edddfbd6597eed"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:39887ac397ff35b7b775db7201095fc6310a35fdbae85bac4523f7eb3b840e20"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fdb5b3e311d4d4b0eb8b3e8b4d1b0a512713ad7e6a68791d0923d1aec433d919"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:226af7dcb51fdb0109f0016449b357e182ea0ceb6b47dfb5999d569e5db161d5"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bed0e799e6120b9c32756203fb9dfe8ca2fb8467fed830c34c877e25638c3fc"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:29c7947c594e105cb9e6c466bace8532dc1ca02d498684128b339799f5248277"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cdeabcff45d1c219636ee2e54d852262e5c2e085d6cb476d938aee8d921356b3"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35cffef589bcdc587d06f9149f8d5e9e8859920a071df5a2671de2213bef592a"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18c8dc3b7468d8b4bdf60ce9d7141897da103c7a4690157b32b60acb45e333e6"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7133d0a1677aec369d67dd78520d3fa96dd7f3dcec99d66c1762870e5ea1a50a"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6a96179a24b14fa6428cbfc08641c779a53f8fcec43644030328f44034c7f1f4"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:4f78c88905461a9203eac9faac157a2a0dbba84a0fd09fd29315db27be40af9f"}, + {file = "pyzmq-26.2.0.tar.gz", hash = "sha256:070672c258581c8e4f640b5159297580a9974b026043bd4ab0470be9ed324f1f"}, +] + +[package.dependencies] +cffi = {version = "*", markers = "implementation_name == \"pypy\""} + +[[package]] +name = "referencing" +version = "0.35.1" +description = "JSON Referencing + Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"}, + {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +rpds-py = ">=0.7.0" + +[[package]] +name = "requests" +version = "2.32.3" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.8" +files = [ + {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, + {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +description = "A pure python RFC3339 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, + {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, +] + +[package.dependencies] +six = "*" + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +description = "Pure python rfc3986 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, + {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, +] + +[[package]] +name = "rpds-py" +version = "0.20.0" +description = "Python bindings to Rust's persistent data structures (rpds)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "rpds_py-0.20.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3ad0fda1635f8439cde85c700f964b23ed5fc2d28016b32b9ee5fe30da5c84e2"}, + {file = "rpds_py-0.20.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9bb4a0d90fdb03437c109a17eade42dfbf6190408f29b2744114d11586611d6f"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6377e647bbfd0a0b159fe557f2c6c602c159fc752fa316572f012fc0bf67150"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eb851b7df9dda52dc1415ebee12362047ce771fc36914586b2e9fcbd7d293b3e"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1e0f80b739e5a8f54837be5d5c924483996b603d5502bfff79bf33da06164ee2"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a8c94dad2e45324fc74dce25e1645d4d14df9a4e54a30fa0ae8bad9a63928e3"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8e604fe73ba048c06085beaf51147eaec7df856824bfe7b98657cf436623daf"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:df3de6b7726b52966edf29663e57306b23ef775faf0ac01a3e9f4012a24a4140"}, + {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf258ede5bc22a45c8e726b29835b9303c285ab46fc7c3a4cc770736b5304c9f"}, + {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:55fea87029cded5df854ca7e192ec7bdb7ecd1d9a3f63d5c4eb09148acf4a7ce"}, + {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ae94bd0b2f02c28e199e9bc51485d0c5601f58780636185660f86bf80c89af94"}, + {file = "rpds_py-0.20.0-cp310-none-win32.whl", hash = "sha256:28527c685f237c05445efec62426d285e47a58fb05ba0090a4340b73ecda6dee"}, + {file = "rpds_py-0.20.0-cp310-none-win_amd64.whl", hash = "sha256:238a2d5b1cad28cdc6ed15faf93a998336eb041c4e440dd7f902528b8891b399"}, + {file = "rpds_py-0.20.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:ac2f4f7a98934c2ed6505aead07b979e6f999389f16b714448fb39bbaa86a489"}, + {file = "rpds_py-0.20.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:220002c1b846db9afd83371d08d239fdc865e8f8c5795bbaec20916a76db3318"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d7919548df3f25374a1f5d01fbcd38dacab338ef5f33e044744b5c36729c8db"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:758406267907b3781beee0f0edfe4a179fbd97c0be2e9b1154d7f0a1279cf8e5"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3d61339e9f84a3f0767b1995adfb171a0d00a1185192718a17af6e124728e0f5"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1259c7b3705ac0a0bd38197565a5d603218591d3f6cee6e614e380b6ba61c6f6"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c1dc0f53856b9cc9a0ccca0a7cc61d3d20a7088201c0937f3f4048c1718a209"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7e60cb630f674a31f0368ed32b2a6b4331b8350d67de53c0359992444b116dd3"}, + {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dbe982f38565bb50cb7fb061ebf762c2f254ca3d8c20d4006878766e84266272"}, + {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:514b3293b64187172bc77c8fb0cdae26981618021053b30d8371c3a902d4d5ad"}, + {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d0a26ffe9d4dd35e4dfdd1e71f46401cff0181c75ac174711ccff0459135fa58"}, + {file = "rpds_py-0.20.0-cp311-none-win32.whl", hash = "sha256:89c19a494bf3ad08c1da49445cc5d13d8fefc265f48ee7e7556839acdacf69d0"}, + {file = "rpds_py-0.20.0-cp311-none-win_amd64.whl", hash = "sha256:c638144ce971df84650d3ed0096e2ae7af8e62ecbbb7b201c8935c370df00a2c"}, + {file = "rpds_py-0.20.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a84ab91cbe7aab97f7446652d0ed37d35b68a465aeef8fc41932a9d7eee2c1a6"}, + {file = "rpds_py-0.20.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:56e27147a5a4c2c21633ff8475d185734c0e4befd1c989b5b95a5d0db699b21b"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2580b0c34583b85efec8c5c5ec9edf2dfe817330cc882ee972ae650e7b5ef739"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b80d4a7900cf6b66bb9cee5c352b2d708e29e5a37fe9bf784fa97fc11504bf6c"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50eccbf054e62a7b2209b28dc7a22d6254860209d6753e6b78cfaeb0075d7bee"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:49a8063ea4296b3a7e81a5dfb8f7b2d73f0b1c20c2af401fb0cdf22e14711a96"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea438162a9fcbee3ecf36c23e6c68237479f89f962f82dae83dc15feeceb37e4"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:18d7585c463087bddcfa74c2ba267339f14f2515158ac4db30b1f9cbdb62c8ef"}, + {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d4c7d1a051eeb39f5c9547e82ea27cbcc28338482242e3e0b7768033cb083821"}, + {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e4df1e3b3bec320790f699890d41c59d250f6beda159ea3c44c3f5bac1976940"}, + {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2cf126d33a91ee6eedc7f3197b53e87a2acdac63602c0f03a02dd69e4b138174"}, + {file = "rpds_py-0.20.0-cp312-none-win32.whl", hash = "sha256:8bc7690f7caee50b04a79bf017a8d020c1f48c2a1077ffe172abec59870f1139"}, + {file = "rpds_py-0.20.0-cp312-none-win_amd64.whl", hash = "sha256:0e13e6952ef264c40587d510ad676a988df19adea20444c2b295e536457bc585"}, + {file = "rpds_py-0.20.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:aa9a0521aeca7d4941499a73ad7d4f8ffa3d1affc50b9ea11d992cd7eff18a29"}, + {file = "rpds_py-0.20.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4a1f1d51eccb7e6c32ae89243cb352389228ea62f89cd80823ea7dd1b98e0b91"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a86a9b96070674fc88b6f9f71a97d2c1d3e5165574615d1f9168ecba4cecb24"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6c8ef2ebf76df43f5750b46851ed1cdf8f109d7787ca40035fe19fbdc1acc5a7"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b25f024b421d5859d156750ea9a65651793d51b76a2e9238c05c9d5f203a9"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57eb94a8c16ab08fef6404301c38318e2c5a32216bf5de453e2714c964c125c8"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1940dae14e715e2e02dfd5b0f64a52e8374a517a1e531ad9412319dc3ac7879"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d20277fd62e1b992a50c43f13fbe13277a31f8c9f70d59759c88f644d66c619f"}, + {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:06db23d43f26478303e954c34c75182356ca9aa7797d22c5345b16871ab9c45c"}, + {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b2a5db5397d82fa847e4c624b0c98fe59d2d9b7cf0ce6de09e4d2e80f8f5b3f2"}, + {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5a35df9f5548fd79cb2f52d27182108c3e6641a4feb0f39067911bf2adaa3e57"}, + {file = "rpds_py-0.20.0-cp313-none-win32.whl", hash = "sha256:fd2d84f40633bc475ef2d5490b9c19543fbf18596dcb1b291e3a12ea5d722f7a"}, + {file = "rpds_py-0.20.0-cp313-none-win_amd64.whl", hash = "sha256:9bc2d153989e3216b0559251b0c260cfd168ec78b1fac33dd485750a228db5a2"}, + {file = "rpds_py-0.20.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:f2fbf7db2012d4876fb0d66b5b9ba6591197b0f165db8d99371d976546472a24"}, + {file = "rpds_py-0.20.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1e5f3cd7397c8f86c8cc72d5a791071431c108edd79872cdd96e00abd8497d29"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce9845054c13696f7af7f2b353e6b4f676dab1b4b215d7fe5e05c6f8bb06f965"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c3e130fd0ec56cb76eb49ef52faead8ff09d13f4527e9b0c400307ff72b408e1"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4b16aa0107ecb512b568244ef461f27697164d9a68d8b35090e9b0c1c8b27752"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7f429242aae2947246587d2964fad750b79e8c233a2367f71b554e9447949c"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af0fc424a5842a11e28956e69395fbbeab2c97c42253169d87e90aac2886d751"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b8c00a3b1e70c1d3891f0db1b05292747f0dbcfb49c43f9244d04c70fbc40eb8"}, + {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:40ce74fc86ee4645d0a225498d091d8bc61f39b709ebef8204cb8b5a464d3c0e"}, + {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:4fe84294c7019456e56d93e8ababdad5a329cd25975be749c3f5f558abb48253"}, + {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:338ca4539aad4ce70a656e5187a3a31c5204f261aef9f6ab50e50bcdffaf050a"}, + {file = "rpds_py-0.20.0-cp38-none-win32.whl", hash = "sha256:54b43a2b07db18314669092bb2de584524d1ef414588780261e31e85846c26a5"}, + {file = "rpds_py-0.20.0-cp38-none-win_amd64.whl", hash = "sha256:a1862d2d7ce1674cffa6d186d53ca95c6e17ed2b06b3f4c476173565c862d232"}, + {file = "rpds_py-0.20.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:3fde368e9140312b6e8b6c09fb9f8c8c2f00999d1823403ae90cc00480221b22"}, + {file = "rpds_py-0.20.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9824fb430c9cf9af743cf7aaf6707bf14323fb51ee74425c380f4c846ea70789"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11ef6ce74616342888b69878d45e9f779b95d4bd48b382a229fe624a409b72c5"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c52d3f2f82b763a24ef52f5d24358553e8403ce05f893b5347098014f2d9eff2"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9d35cef91e59ebbeaa45214861874bc6f19eb35de96db73e467a8358d701a96c"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d72278a30111e5b5525c1dd96120d9e958464316f55adb030433ea905866f4de"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4c29cbbba378759ac5786730d1c3cb4ec6f8ababf5c42a9ce303dc4b3d08cda"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6632f2d04f15d1bd6fe0eedd3b86d9061b836ddca4c03d5cf5c7e9e6b7c14580"}, + {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d0b67d87bb45ed1cd020e8fbf2307d449b68abc45402fe1a4ac9e46c3c8b192b"}, + {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ec31a99ca63bf3cd7f1a5ac9fe95c5e2d060d3c768a09bc1d16e235840861420"}, + {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:22e6c9976e38f4d8c4a63bd8a8edac5307dffd3ee7e6026d97f3cc3a2dc02a0b"}, + {file = "rpds_py-0.20.0-cp39-none-win32.whl", hash = "sha256:569b3ea770c2717b730b61998b6c54996adee3cef69fc28d444f3e7920313cf7"}, + {file = "rpds_py-0.20.0-cp39-none-win_amd64.whl", hash = "sha256:e6900ecdd50ce0facf703f7a00df12374b74bbc8ad9fe0f6559947fb20f82364"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:617c7357272c67696fd052811e352ac54ed1d9b49ab370261a80d3b6ce385045"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9426133526f69fcaba6e42146b4e12d6bc6c839b8b555097020e2b78ce908dcc"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:deb62214c42a261cb3eb04d474f7155279c1a8a8c30ac89b7dcb1721d92c3c02"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcaeb7b57f1a1e071ebd748984359fef83ecb026325b9d4ca847c95bc7311c92"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d454b8749b4bd70dd0a79f428731ee263fa6995f83ccb8bada706e8d1d3ff89d"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d807dc2051abe041b6649681dce568f8e10668e3c1c6543ebae58f2d7e617855"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3c20f0ddeb6e29126d45f89206b8291352b8c5b44384e78a6499d68b52ae511"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b7f19250ceef892adf27f0399b9e5afad019288e9be756d6919cb58892129f51"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4f1ed4749a08379555cebf4650453f14452eaa9c43d0a95c49db50c18b7da075"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:dcedf0b42bcb4cfff4101d7771a10532415a6106062f005ab97d1d0ab5681c60"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:39ed0d010457a78f54090fafb5d108501b5aa5604cc22408fc1c0c77eac14344"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:bb273176be34a746bdac0b0d7e4e2c467323d13640b736c4c477881a3220a989"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f918a1a130a6dfe1d7fe0f105064141342e7dd1611f2e6a21cd2f5c8cb1cfb3e"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:f60012a73aa396be721558caa3a6fd49b3dd0033d1675c6d59c4502e870fcf0c"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d2b1ad682a3dfda2a4e8ad8572f3100f95fad98cb99faf37ff0ddfe9cbf9d03"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:614fdafe9f5f19c63ea02817fa4861c606a59a604a77c8cdef5aa01d28b97921"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa518bcd7600c584bf42e6617ee8132869e877db2f76bcdc281ec6a4113a53ab"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0475242f447cc6cb8a9dd486d68b2ef7fbee84427124c232bff5f63b1fe11e5"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f90a4cd061914a60bd51c68bcb4357086991bd0bb93d8aa66a6da7701370708f"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:def7400461c3a3f26e49078302e1c1b38f6752342c77e3cf72ce91ca69fb1bc1"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:65794e4048ee837494aea3c21a28ad5fc080994dfba5b036cf84de37f7ad5074"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:faefcc78f53a88f3076b7f8be0a8f8d35133a3ecf7f3770895c25f8813460f08"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:5b4f105deeffa28bbcdff6c49b34e74903139afa690e35d2d9e3c2c2fba18cec"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fdfc3a892927458d98f3d55428ae46b921d1f7543b89382fdb483f5640daaec8"}, + {file = "rpds_py-0.20.0.tar.gz", hash = "sha256:d72a210824facfdaf8768cf2d7ca25a042c30320b3020de2fa04640920d4e121"}, +] + +[[package]] +name = "scikit-learn" +version = "1.5.2" +description = "A set of python modules for machine learning and data mining" +optional = false +python-versions = ">=3.9" +files = [ + {file = "scikit_learn-1.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:299406827fb9a4f862626d0fe6c122f5f87f8910b86fe5daa4c32dcd742139b6"}, + {file = "scikit_learn-1.5.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:2d4cad1119c77930b235579ad0dc25e65c917e756fe80cab96aa3b9428bd3fb0"}, + {file = "scikit_learn-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c412ccc2ad9bf3755915e3908e677b367ebc8d010acbb3f182814524f2e5540"}, + {file = "scikit_learn-1.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a686885a4b3818d9e62904d91b57fa757fc2bed3e465c8b177be652f4dd37c8"}, + {file = "scikit_learn-1.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:c15b1ca23d7c5f33cc2cb0a0d6aaacf893792271cddff0edbd6a40e8319bc113"}, + {file = "scikit_learn-1.5.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:03b6158efa3faaf1feea3faa884c840ebd61b6484167c711548fce208ea09445"}, + {file = "scikit_learn-1.5.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1ff45e26928d3b4eb767a8f14a9a6efbf1cbff7c05d1fb0f95f211a89fd4f5de"}, + {file = "scikit_learn-1.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f763897fe92d0e903aa4847b0aec0e68cadfff77e8a0687cabd946c89d17e675"}, + {file = "scikit_learn-1.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8b0ccd4a902836493e026c03256e8b206656f91fbcc4fde28c57a5b752561f1"}, + {file = "scikit_learn-1.5.2-cp311-cp311-win_amd64.whl", hash = "sha256:6c16d84a0d45e4894832b3c4d0bf73050939e21b99b01b6fd59cbb0cf39163b6"}, + {file = "scikit_learn-1.5.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f932a02c3f4956dfb981391ab24bda1dbd90fe3d628e4b42caef3e041c67707a"}, + {file = "scikit_learn-1.5.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:3b923d119d65b7bd555c73be5423bf06c0105678ce7e1f558cb4b40b0a5502b1"}, + {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f60021ec1574e56632be2a36b946f8143bf4e5e6af4a06d85281adc22938e0dd"}, + {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:394397841449853c2290a32050382edaec3da89e35b3e03d6cc966aebc6a8ae6"}, + {file = "scikit_learn-1.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:57cc1786cfd6bd118220a92ede80270132aa353647684efa385a74244a41e3b1"}, + {file = "scikit_learn-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:757c7d514ddb00ae249832fe87100d9c73c6ea91423802872d9e74970a0e40b9"}, + {file = "scikit_learn-1.5.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:52788f48b5d8bca5c0736c175fa6bdaab2ef00a8f536cda698db61bd89c551c1"}, + {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:643964678f4b5fbdc95cbf8aec638acc7aa70f5f79ee2cdad1eec3df4ba6ead8"}, + {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ca64b3089a6d9b9363cd3546f8978229dcbb737aceb2c12144ee3f70f95684b7"}, + {file = "scikit_learn-1.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:3bed4909ba187aca80580fe2ef370d9180dcf18e621a27c4cf2ef10d279a7efe"}, + {file = "scikit_learn-1.5.2.tar.gz", hash = "sha256:b4237ed7b3fdd0a4882792e68ef2545d5baa50aca3bb45aa7df468138ad8f94d"}, +] + +[package.dependencies] +joblib = ">=1.2.0" +numpy = ">=1.19.5" +scipy = ">=1.6.0" +threadpoolctl = ">=3.1.0" + +[package.extras] +benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"] +build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"] +docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.16.0)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)"] +examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"] +install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"] +maintenance = ["conda-lock (==2.5.6)"] +tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"] + +[[package]] +name = "scipy" +version = "1.14.1" +description = "Fundamental algorithms for scientific computing in Python" +optional = false +python-versions = ">=3.10" +files = [ + {file = "scipy-1.14.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b28d2ca4add7ac16ae8bb6632a3c86e4b9e4d52d3e34267f6e1b0c1f8d87e389"}, + {file = "scipy-1.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3"}, + {file = "scipy-1.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8bddf15838ba768bb5f5083c1ea012d64c9a444e16192762bd858f1e126196d0"}, + {file = "scipy-1.14.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:97c5dddd5932bd2a1a31c927ba5e1463a53b87ca96b5c9bdf5dfd6096e27efc3"}, + {file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ff0a7e01e422c15739ecd64432743cf7aae2b03f3084288f399affcefe5222d"}, + {file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e32dced201274bf96899e6491d9ba3e9a5f6b336708656466ad0522d8528f69"}, + {file = "scipy-1.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8426251ad1e4ad903a4514712d2fa8fdd5382c978010d1c6f5f37ef286a713ad"}, + {file = "scipy-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:a49f6ed96f83966f576b33a44257d869756df6cf1ef4934f59dd58b25e0327e5"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2da0469a4ef0ecd3693761acbdc20f2fdeafb69e6819cc081308cc978153c675"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3a1b111fac6baec1c1d92f27e76511c9e7218f1695d61b59e05e0fe04dc59617"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8475230e55549ab3f207bff11ebfc91c805dc3463ef62eda3ccf593254524ce8"}, + {file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:278266012eb69f4a720827bdd2dc54b2271c97d84255b2faaa8f161a158c3b37"}, + {file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2"}, + {file = "scipy-1.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b05d43735bb2f07d689f56f7b474788a13ed8adc484a85aa65c0fd931cf9ccd2"}, + {file = "scipy-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:716e389b694c4bb564b4fc0c51bc84d381735e0d39d3f26ec1af2556ec6aad94"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:631f07b3734d34aced009aaf6fedfd0eb3498a97e581c3b1e5f14a04164a456d"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:af29a935803cc707ab2ed7791c44288a682f9c8107bc00f0eccc4f92c08d6e07"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2843f2d527d9eebec9a43e6b406fb7266f3af25a751aa91d62ff416f54170bc5"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc"}, + {file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30ac8812c1d2aab7131a79ba62933a2a76f582d5dbbc695192453dae67ad6310"}, + {file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066"}, + {file = "scipy-1.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1"}, + {file = "scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e"}, + {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d"}, + {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e"}, + {file = "scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06"}, + {file = "scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84"}, + {file = "scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417"}, +] + +[package.dependencies] +numpy = ">=1.23.5,<2.3" + +[package.extras] +dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] +doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<=7.3.7)", "sphinx-design (>=0.4.0)"] +test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + +[[package]] +name = "send2trash" +version = "1.8.3" +description = "Send file to trash natively under Mac OS X, Windows and Linux" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"}, + {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"}, +] + +[package.extras] +nativelib = ["pyobjc-framework-Cocoa", "pywin32"] +objc = ["pyobjc-framework-Cocoa"] +win32 = ["pywin32"] + +[[package]] +name = "setuptools" +version = "74.1.0" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +optional = false +python-versions = ">=3.8" +files = [ + {file = "setuptools-74.1.0-py3-none-any.whl", hash = "sha256:cee604bd76cc092355a4e43ec17aee5369095974f41f088676724dc6bc2c9ef8"}, + {file = "setuptools-74.1.0.tar.gz", hash = "sha256:bea195a800f510ba3a2bc65645c88b7e016fe36709fefc58a880c4ae8a0138d7"}, +] + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"] +core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"] + +[[package]] +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, + {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, +] + +[[package]] +name = "sniffio" +version = "1.3.1" +description = "Sniff out which async library your code is running under" +optional = false +python-versions = ">=3.7" +files = [ + {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, + {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, +] + +[[package]] +name = "soupsieve" +version = "2.6" +description = "A modern CSS selector implementation for Beautiful Soup." +optional = false +python-versions = ">=3.8" +files = [ + {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"}, + {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"}, +] + +[[package]] +name = "stack-data" +version = "0.6.3" +description = "Extract data from python stack frames and tracebacks for informative displays" +optional = false +python-versions = "*" +files = [ + {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, + {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, +] + +[package.dependencies] +asttokens = ">=2.1.0" +executing = ">=1.2.0" +pure-eval = "*" + +[package.extras] +tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] + +[[package]] +name = "terminado" +version = "0.18.1" +description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." +optional = false +python-versions = ">=3.8" +files = [ + {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, + {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, +] + +[package.dependencies] +ptyprocess = {version = "*", markers = "os_name != \"nt\""} +pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} +tornado = ">=6.1.0" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] +typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"] + +[[package]] +name = "threadpoolctl" +version = "3.5.0" +description = "threadpoolctl" +optional = false +python-versions = ">=3.8" +files = [ + {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"}, + {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"}, +] + +[[package]] +name = "tinycss2" +version = "1.3.0" +description = "A tiny CSS parser" +optional = false +python-versions = ">=3.8" +files = [ + {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"}, + {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"}, +] + +[package.dependencies] +webencodings = ">=0.4" + +[package.extras] +doc = ["sphinx", "sphinx_rtd_theme"] +test = ["pytest", "ruff"] + +[[package]] +name = "tornado" +version = "6.4.1" +description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." +optional = false +python-versions = ">=3.8" +files = [ + {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"}, + {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"}, + {file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"}, + {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"}, + {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"}, + {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"}, + {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"}, + {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"}, + {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"}, + {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"}, + {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"}, +] + +[[package]] +name = "traitlets" +version = "5.14.3" +description = "Traitlets Python configuration system" +optional = false +python-versions = ">=3.8" +files = [ + {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, + {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, +] + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] + +[[package]] +name = "types-python-dateutil" +version = "2.9.0.20240821" +description = "Typing stubs for python-dateutil" +optional = false +python-versions = ">=3.8" +files = [ + {file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"}, + {file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"}, +] + +[[package]] +name = "tzdata" +version = "2024.1" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +files = [ + {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, + {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +description = "RFC 6570 URI Template Processor" +optional = false +python-versions = ">=3.7" +files = [ + {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, + {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, +] + +[package.extras] +dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] + +[[package]] +name = "urllib3" +version = "2.2.2" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.8" +files = [ + {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, + {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +h2 = ["h2 (>=4,<5)"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "wcwidth" +version = "0.2.13" +description = "Measures the displayed width of unicode strings in a terminal" +optional = false +python-versions = "*" +files = [ + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, +] + +[[package]] +name = "webargs" +version = "8.4.0" +description = "Declarative parsing and validation of HTTP request objects, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, Falcon, and aiohttp." +optional = false +python-versions = ">=3.8" +files = [ + {file = "webargs-8.4.0-py3-none-any.whl", hash = "sha256:22324305fbca6a2c4cce1235280e8b56372fb3211a8dac2ac8ed1948315a6f53"}, + {file = "webargs-8.4.0.tar.gz", hash = "sha256:ea99368214a4ce613924be99d71db58c269631e95eff4fa09b7354e52dc006a5"}, +] + +[package.dependencies] +marshmallow = ">=3.0.0" +packaging = "*" + +[package.extras] +dev = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "flake8 (==7.0.0)", "flake8-bugbear (==23.12.2)", "mypy (==1.8.0)", "pre-commit (>=2.4,<4.0)", "pyramid (>=1.9.1)", "pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "tornado (>=4.5.2)", "tox", "webtest (==3.0.0)", "webtest-aiohttp (==2.0.0)"] +docs = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "Sphinx (==7.2.6)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "furo (==2023.9.10)", "pyramid (>=1.9.1)", "sphinx-issues (==3.0.1)", "tornado (>=4.5.2)"] +frameworks = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "pyramid (>=1.9.1)", "tornado (>=4.5.2)"] +lint = ["flake8 (==7.0.0)", "flake8-bugbear (==23.12.2)", "mypy (==1.8.0)", "pre-commit (>=2.4,<4.0)"] +tests = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "pyramid (>=1.9.1)", "pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "tornado (>=4.5.2)", "webtest (==3.0.0)", "webtest-aiohttp (==2.0.0)"] + +[[package]] +name = "webcolors" +version = "24.8.0" +description = "A library for working with the color formats defined by HTML and CSS." +optional = false +python-versions = ">=3.8" +files = [ + {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"}, + {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"}, +] + +[package.extras] +docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"] +tests = ["coverage[toml]"] + +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character encoding aliases for legacy web content" +optional = false +python-versions = "*" +files = [ + {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, + {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, +] + +[[package]] +name = "websocket-client" +version = "1.8.0" +description = "WebSocket client for Python with low level API options" +optional = false +python-versions = ">=3.8" +files = [ + {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, + {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, +] + +[package.extras] +docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"] +optional = ["python-socks", "wsaccel"] +test = ["websockets"] + +[[package]] +name = "werkzeug" +version = "3.0.4" +description = "The comprehensive WSGI web application library." +optional = false +python-versions = ">=3.8" +files = [ + {file = "werkzeug-3.0.4-py3-none-any.whl", hash = "sha256:02c9eb92b7d6c06f31a782811505d2157837cea66aaede3e217c7c27c039476c"}, + {file = "werkzeug-3.0.4.tar.gz", hash = "sha256:34f2371506b250df4d4f84bfe7b0921e4762525762bbd936614909fe25cd7306"}, +] + +[package.dependencies] +MarkupSafe = ">=2.1.1" + +[package.extras] +watchdog = ["watchdog (>=2.3)"] + +[[package]] +name = "widgetsnbextension" +version = "4.0.13" +description = "Jupyter interactive widgets for Jupyter Notebook" +optional = false +python-versions = ">=3.7" +files = [ + {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"}, + {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"}, +] + +[metadata] +lock-version = "2.0" +python-versions = "^3.12" +content-hash = "a7e3d516bde2d6e4173d8a9770fb5337a0c806dadaeda355084b262c1995f7ea" diff --git a/poetry.toml b/poetry.toml new file mode 100644 index 0000000..ab1033b --- /dev/null +++ b/poetry.toml @@ -0,0 +1,2 @@ +[virtualenvs] +in-project = true diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..0a91b71 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,24 @@ +[tool.poetry] +name = "mai" +version = "1.0.0" +description = "MAI Examples" +authors = ["Aleksey Filippov "] +readme = "readme.md" +package-mode = false + +[tool.poetry.dependencies] +python = "^3.12" +jupyter = "^1.1.1" +numpy = "^2.1.0" +pandas = "^2.2.2" +matplotlib = "^3.9.2" +flask = "^3.0.3" +apiflask = "^2.2.0" +flask-cors = "^5.0.0" +scikit-learn = "^1.5.2" +imbalanced-learn = "^0.12.3" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/readme.md b/readme.md new file mode 100644 index 0000000..fba5c63 --- /dev/null +++ b/readme.md @@ -0,0 +1,55 @@ +## ΠžΠΊΡ€ΡƒΠΆΠ΅Π½ΠΈΠ΅ ΠΈ ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ для выполнСния Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… Ρ€Π°Π±ΠΎΡ‚ ΠΏΠΎ дисциплинС "ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹ ИИ" + +### Python + +Π˜ΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ Python вСрсии 3.12 + +Установщик https://www.python.org/ftp/python/3.12.5/python-3.12.5-amd64.exe + +### Poetry + +Для создания ΠΈ настройки окруТСния ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ poetry + +**Для Windows (Powershell)** + +``` +(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python - +``` + +**Linux, macOS, Windows (WSL)** + +``` +curl -sSL https://install.python-poetry.org | python3 - +``` + +**Π”ΠΎΠ±Π°Π²Π»Π΅Π½ΠΈΠ΅ poetry Π² PATH** + +1. ΠžΡ‚ΠΊΡ€Ρ‹Ρ‚ΡŒ настройки ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… срСды \ + \ + \ + \ + \ +2. Π˜Π·ΠΌΠ΅Π½ΠΈΡ‚ΡŒ ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½ΡƒΡŽ Path Ρ‚Π΅ΠΊΡƒΡ‰Π΅Π³ΠΎ ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»Ρ \ + \ + \ +3. Π”ΠΎΠ±Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΏΡƒΡ‚ΠΈ `%APPDATA%\Python\Scripts` Π΄ΠΎ исполняСмого Ρ„Π°ΠΉΠ»Π° poetry \ + \ + + +### Π‘ΠΎΠ·Π΄Π°Π½ΠΈΠ΅ окруТСния + +``` +poetry install +``` + +### Запуск тСстового сСрвиса + +Π—Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ тСстовый сСрвис ΠΌΠΎΠΆΠ½ΠΎ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ VSCode (см. launch.json Π² ΠΊΠ°Ρ‚Π°Π»ΠΎΠ³Π΅ .vscode). + +Π’Π°ΠΊΠΆΠ΅ Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ тСстовый сСрвис ΠΌΠΎΠΆΠ½ΠΎ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΊΠΎΠΌΠ°Π½Π΄Π½ΠΎΠΉ строки: + +1. Активация Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ окруТСния -- `poetry shell` + +2. Запуск сСрвиса -- `python run.py` + +Для Π²Ρ‹Ρ…ΠΎΠ΄Ρ‹ ΠΈΠ· Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ окруТСния ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ `exit` diff --git a/run.py b/run.py new file mode 100644 index 0000000..39333c8 --- /dev/null +++ b/run.py @@ -0,0 +1,16 @@ +from backend import create_app + +app = create_app() + + +def __main(): + app.run( + host="127.0.0.1", + port=8080, + debug=True, + use_reloader=False, + ) + + +if __name__ == "__main__": + __main()