diff --git a/README.md b/README.md index 7c0700d..bd9cbb9 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ Measurement and automation of the Bechdel test, female (under)representation and - Official documentation is at https://dataforgood.fr/bechdelai - Official website for the project is here (French) - https://dataforgood.fr/projects/bechdelai - Project documentation is [here](https://dataforgood.slite.com/app/docs/~8IRrgyKYR) (French) - +- For audio projects, details are [here](notebooks/audio/README.md) ## Developers diff --git a/app.py b/app.py new file mode 100644 index 0000000..17bf6bd --- /dev/null +++ b/app.py @@ -0,0 +1,125 @@ +# Inspired from https://huggingface.co/spaces/vumichien/whisper-speaker-diarization/blob/main/app.py + +import gradio as gr +import re +import time +import os + +import pandas as pd +import numpy as np +import sys +sys.path.append("../../") + +from pytube import YouTube + +# Custom code +from bechdelai.data.youtube import download_youtube_video +from bechdelai.audio.utils import extract_audio_from_video +from bechdelai.audio.gender_segmenter import InaSpeechSegmentor +from bechdelai.audio.transcriber import WhisperAPI +from bechdelai.nlp.gpt import GPT3 + +# Constants +# whisper_models = ["tiny.en","base.en","tiny","base", "small", "medium", "large"] +# device = 0 if torch.cuda.is_available() else "cpu" +# os.makedirs('output', exist_ok=True) + +def get_youtube(video_url): + yt = YouTube(video_url) + abs_video_path = yt.streams.filter(progressive=True, file_extension='mp4').order_by('resolution').desc().first().download() + print("Success download video") + print(abs_video_path) + return abs_video_path + + +def speech_to_text(video_filepath, selected_source_lang = "en", whisper_model = "tiny.en"): + """ + # Transcribe youtube link using OpenAI Whisper + 1. Using Open AI's Whisper model to seperate audio into segments and generate transcripts. + 2. Generating speaker embeddings for each segments. + 3. Applying agglomerative clustering on the embeddings to identify the speaker for each segment. + + Speech Recognition is based on models from OpenAI Whisper https://github.com/openai/whisper + Speaker diarization model and pipeline from by https://github.com/pyannote/pyannote-audio + """ + + whisper_api = WhisperAPI() + gender = InaSpeechSegmentor(only_gender=True,batch_size = 32) + + # Convert video to audio + audio_filepath = extract_audio_from_video(video_filepath,"mp3") + result,segments,text = whisper_api.speech_to_text(audio_filepath) + segments_ina = gender._convert_whisper_output(segments) + segments_ina = gender.predict_gender_on_segments(audio_filepath,segments_ina) + segments_with_gender = segments.merge(segments_ina[["gender","start"]],on = "start",how = "left") + + dialogue_id = segments_with_gender["speech"].astype(int).diff(1).fillna(0) + dialogue_id.loc[dialogue_id < 0] = 0 + segments_with_gender["dialogue_id"] = dialogue_id.cumsum() + segments_with_gender.loc[segments_with_gender["speech"] == False,"dialogue_id"] = np.NaN + + return [segments_with_gender,text] + +source_language_list = ["en","fr"] + +# ---- Gradio Layout ----- +# Inspiration from https://huggingface.co/spaces/RASMUS/Whisper-youtube-crosslingual-subtitles +video_in = gr.Video(label="Video file", mirror_webcam=False) +youtube_url_in = gr.Textbox(label="Youtube url", lines=1, interactive=True) +# selected_source_lang = gr.Dropdown(choices=source_language_list, type="value", value="en", label="Spoken language in video", interactive=True) +# selected_whisper_model = gr.Dropdown(choices=whisper_models, type="value", value="tiny.en", label="Selected Whisper model", interactive=True) +df_init = pd.DataFrame(columns=['start', 'end', 'text', 'speech', 'gender', 'duration', 'dialogue_id']) +transcription_df = gr.DataFrame(value = df_init,label="RΓ©partition du temps de parole", row_count=(0, "dynamic"), max_rows = 25, wrap=True, overflow_row_behaviour='paginate') +output_text = gr.Textbox(label = "Transcribed text",lines = 10) + +title = "BechdelAI - demo" +demo = gr.Blocks(title=title,live = True) +demo.encrypt = False + + +with demo: + with gr.Tab("BechdelAI - dialogue demo"): + gr.Markdown(''' +
+

BechdelAI - Dialogue demo

+
+ ''') + + with gr.Row(): + gr.Markdown('''# πŸŽ₯ Download Youtube video''') + + + with gr.Row(): + + with gr.Column(): + # gr.Markdown('''### You can test by following examples:''') + examples = gr.Examples(examples= + [ + "https://www.youtube.com/watch?v=FDFdroN7d0w", + "https://www.youtube.com/watch?v=b2f2Kqt_KcE", + "https://www.youtube.com/watch?v=ba5F8G778C0", + ], + label="Examples", inputs=[youtube_url_in]) + youtube_url_in.render() + download_youtube_btn = gr.Button("Download Youtube video") + download_youtube_btn.click(get_youtube, [youtube_url_in], [ + video_in]) + print(video_in) + + with gr.Column(): + video_in.render() + + with gr.Row(): + gr.Markdown('''# πŸŽ™ Extract text from video''') + + with gr.Row(): + with gr.Column(): + transcribe_btn = gr.Button("Transcribe audio and diarization") + # transcribe_btn.click(speech_to_text, [video_in, selected_source_lang, selected_whisper_model], [transcription_df,output_text]) + transcribe_btn.click(speech_to_text, [video_in], [transcription_df,output_text]) + with gr.Column(): + output_text.render() + with gr.Row(): + transcription_df.render() + +demo.launch(debug=True) \ No newline at end of file diff --git a/bechdelai/audio/audio_processor.py b/bechdelai/audio/audio_processor.py new file mode 100644 index 0000000..73d88f8 --- /dev/null +++ b/bechdelai/audio/audio_processor.py @@ -0,0 +1,39 @@ +import pandas as pd + + +class AudioProcessor: + """Computes complete pipeline from audio to text format dialogues + gendered_audio_seg represents gender identification + voice activity detection + feminine_dialogues aims to keep only dialogues where women are speaking + result transforms selected audios into text + """ + def __init__(self, config, audio_file=""): + self.audio = audio_file + self.config = config + self.gendered_audio_seg = self.gender_segmentor() + self.feminine_dialogues = self.dialogue_tagger() + self.result = self.run_speech_to_text() + + def gender_segmentor(self): + return self.config.get_profile().get_gender_segmentor().segment(self.audio) + + def dialogue_tagger(self): + return self.config.get_profile().get_dialogue_tagger().extract_dialogues_subsets(self.gendered_audio_seg) + + def run_speech_to_text(self): + transcript = [] + for i in self.feminine_dialogues.index: + duration = self.feminine_dialogues['end'][i] - self.feminine_dialogues['start'][i] + transcript.append(self.config.get_profile().get_transcriber().speech_to_text(self.audio, + self.gendered_audio_seg['start'][i], + duration)) + transcription = pd.concat([self.gendered_audio_seg['gender'], pd.Series(transcript, name="transcription")], + axis=1) + return transcription + + def full_dataframe(self): + return pd.concat([self.gendered_audio_seg, self.result['transcription']], axis=1) + + def export_to_csv(self, file_path: str): + result = self.full_dataframe() + result.to_csv(path_or_buf=file_path, sep=";", header=True, index=False, encoding="utf-8") diff --git a/bechdelai/audio/audio_separation.py b/bechdelai/audio/audio_separation.py new file mode 100644 index 0000000..4de0d1d --- /dev/null +++ b/bechdelai/audio/audio_separation.py @@ -0,0 +1,14 @@ +def separate_voice_and_music(path_to_mixed_audio: str) -> None: + """Splits an audio file into its individual parts using spleeter + + Does not work above 700 seconds or about 11 minutes. + + Stores the results in separate folders, upstream of the project root. + + Parameters: + path_to_mixed_audio (str): Path to an audio file (.wav) + + Returns: + None + """ + os.system('spleeter separate -d 700.0 -o ../../../ -f "{instrument}/{filename}.{codec}" ' + path_to_mixed_audio) diff --git a/bechdelai/audio/config.py b/bechdelai/audio/config.py new file mode 100644 index 0000000..582ba80 --- /dev/null +++ b/bechdelai/audio/config.py @@ -0,0 +1,15 @@ +from . import profiles + + +class Config: + def __init__(self): + self.selected_profile: profiles.Profiles + + def select_profile(self, option): + if option == "FR": + self.selected_profile = profiles.French() + elif option == "US": + self.selected_profile = profiles.USEnglish() + + def get_profile(self): + return self.selected_profile diff --git a/bechdelai/audio/dialogue_tagger.py b/bechdelai/audio/dialogue_tagger.py new file mode 100644 index 0000000..9c1c6f5 --- /dev/null +++ b/bechdelai/audio/dialogue_tagger.py @@ -0,0 +1,18 @@ +from abc import ABC, abstractmethod + + +class DialogueTagger(ABC): + """Abstract Class common to every gender segmentor. + Convert an audio file to a dataframe of time slots associated with the speaker's gender. + """ + @abstractmethod + def extract_dialogues_subsets(self, segments_dataframe): + pass + + +class RuleBasedTagger(DialogueTagger): + def __init__(self): + pass + + def extract_dialogues_subsets(self, segments_dataframe): + return segments_dataframe diff --git a/bechdelai/audio/gender_segmenter.py b/bechdelai/audio/gender_segmenter.py new file mode 100644 index 0000000..312fbb4 --- /dev/null +++ b/bechdelai/audio/gender_segmenter.py @@ -0,0 +1,58 @@ +import pandas as pd +from abc import ABC, abstractmethod +from inaSpeechSegmenter import Segmenter +from inaSpeechSegmenter.segmenter import Gender +from inaSpeechSegmenter.features import media2feats + + +class GenderSegmentor(ABC): + """Abstract Class common to every gender segmentor. + Convert an audio file to a dataframe of time slots associated with the speaker's gender. + """ + @abstractmethod + def segment(self, audio_file): + pass + +CONSTANT_INA = 0.02 + +class InaSpeechSegmentor(GenderSegmentor): + def __init__(self,only_gender = False,batch_size = 32): + # The higher the energy ratio, the more selective it is ; vad_engine works better with sm than smn + if not only_gender: + self.seg = Segmenter(vad_engine='sm', energy_ratio=0.05) + else: + self.gender = Gender(batch_size = batch_size) + + def segment(self, audio_file): + """Extracts time intervals from audio_file, according to the speaker's gender. + + Returns: + pd.DataFrame: Pandas' DataFrame with 3 columns (gender, start, end) and as many lines as needed. + """ + segment = self.seg(audio_file) + return pd.DataFrame(list(filter(lambda x: x[0] == 'male' or x[0] == 'female', segment)), + columns=['gender', 'start', 'end']) + + + def _convert_whisper_output(self,segments:pd.DataFrame) -> list: + segments = segments.query("speech").assign(category = lambda x : "speech")[["category","start","end"]] + convert_to_ina_format = lambda x : int(x/CONSTANT_INA) + segments["start"] = segments["start"].map(convert_to_ina_format) + segments["end"] = segments["end"].map(convert_to_ina_format) + segments = [tuple(x) for x in segments.to_numpy()] + return segments + + def predict_gender_on_segments(self,audio_file,segments): + + mspec, loge, difflen = media2feats(audio_file, None,0,None,"ffmpeg") + segments = self.gender(mspec, segments, difflen) + + segments_df = pd.DataFrame(segments,columns = ["gender","start","end"]) + segments_df["start"] = segments_df["start"] * CONSTANT_INA + segments_df["end"] = segments_df["end"] * CONSTANT_INA + return segments_df + + + + + diff --git a/bechdelai/audio/profiles.py b/bechdelai/audio/profiles.py new file mode 100644 index 0000000..fcf7b2f --- /dev/null +++ b/bechdelai/audio/profiles.py @@ -0,0 +1,41 @@ +""" Profiles are used to set the adapted configuration to analyse the video of interest. +""" +from abc import ABC, abstractmethod + +from . import transcriber, gender_segmenter, dialogue_tagger + + +class Profiles(ABC): + @abstractmethod + def get_gender_segmentor(self): + raise "Gender Segmentor not implemented" + + @abstractmethod + def get_dialogue_tagger(self): + raise "Dialogue tagger not implemented" + + @abstractmethod + def get_transcriber(self): + raise "Transcriber not implemented" + + +class French(Profiles): + def get_gender_segmentor(self): + return gender_segmenter.InaSpeechSegmentor() + + def get_dialogue_tagger(self): + return dialogue_tagger.RuleBasedTagger() + + def get_transcriber(self): + return transcriber.GoogleSpeechRecognition("fr-FR") + + +class USEnglish(Profiles): + def get_gender_segmentor(self): + return gender_segmenter.InaSpeechSegmentor() + + def get_dialogue_tagger(self): + return dialogue_tagger.RuleBasedTagger() + + def get_transcriber(self): + return transcriber.GoogleSpeechRecognition("en-US") diff --git a/bechdelai/audio/transcriber.py b/bechdelai/audio/transcriber.py new file mode 100644 index 0000000..110e8cd --- /dev/null +++ b/bechdelai/audio/transcriber.py @@ -0,0 +1,82 @@ +import os +import pandas as pd +import speech_recognition as sr +import openai +import whisper +from dotenv import load_dotenv +from abc import ABC, abstractmethod + + +class Transcriber(ABC): + # Abstract Class common to every transcriber model. + # Possibility to deal with audio ranges of a certain duration. + def __init__(self): + pass + + @abstractmethod + def speech_to_text(self, audio_file, start_time, duration): + pass + + +class GoogleSpeechRecognition(Transcriber): + # Recognize speech using Google Speech Recognition + def __init__(self, language): + self.language = language + self.r = sr.Recognizer() + + def read(self, audio_file, start_time=None, duration=None): + with sr.AudioFile(audio_file) as source: + return self.r.record(source, duration=duration, offset=start_time) + + def speech_to_text(self, audio_file, start_time, duration): + audio = self.read(audio_file, start_time-1, duration+2) + try: + return self.r.recognize_google(audio, language=self.language) # It may be necessary to change the API key + except sr.UnknownValueError: + print("Google Speech Recognition could not understand audio") + except sr.RequestError as e: + print("Could not request results from Google Speech Recognition service; {0}".format(e)) + + +class WhisperAPI(Transcriber): + def __init__(self,api_key = None): + + # Set up API key + if api_key is None: + try: + load_dotenv() + api_key = os.environ["OPENAI_API_KEY"] + except: + raise Exception("No OpenAI key was found in the environment or in a .env file") + + assert api_key.startswith("sk-") + openai.api_key = api_key + + def speech_to_text(self,audio_file,response_format = "verbose_json"): + # From https://openai.com/blog/introducing-chatgpt-and-whisper-apis + # Doc at https://platform.openai.com/docs/guides/speech-to-text + # TODO should add test if file > 25mb -> fails with openAI API, use mp3 and not wav as safety check + file = open(audio_file, "rb") + result = openai.Audio.transcribe("whisper-1", file,response_format = response_format) + segments = pd.DataFrame([dict(x) for x in result["segments"]])[["start","end","text"]] + segments["text"] = segments["text"].str.strip() + segments["speech"] = segments["text"].map(lambda x : x != "β™ͺβ™ͺ") + text = result["text"] + return result,segments,text + + +class Whisper(Transcriber): + def __init__(self,model_name = "tiny.en"): + assert model_name in ["tiny.en","base.en","tiny","base", "small", "medium", "large"] + self.model = whisper.load_model(model_name) + + def speech_to_text(self,audio_file,language = "en"): + + options = dict(language=language, beam_size=5, best_of=5) + transcribe_options = dict(task="transcribe", **options) + result = self.model.transcribe(audio_file, **transcribe_options) + segments = result["segments"] + text = result["text"].strip() + + return result,segments,text + diff --git a/bechdelai/audio/utils.py b/bechdelai/audio/utils.py new file mode 100644 index 0000000..db1d9c9 --- /dev/null +++ b/bechdelai/audio/utils.py @@ -0,0 +1,47 @@ +import os + +import moviepy.editor as mp +from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip + + +def cut_and_save(movie_path: str, start: float, end: float, target_name: str) -> None: + """This function cuts a video from the start to the end time and saves it as target_name. + + Parameters: + movie_path (str): The path to the video file. + start (float): The start time in seconds. + end (float): The end time in seconds. + target_name (str): The file name of the new video file. + + Returns: + None + """ + return ffmpeg_extract_subclip(movie_path, start, end, targetname=target_name) + + +def import_as_clip(path_to_video: str) -> mp.VideoFileClip: + """Imports a video file as a VideoFileClip object. + + Parameters: + path_to_video (str): Path to a video file. + + Returns: + mp.VideoFileClip: VideoFileClip object. + """ + return mp.VideoFileClip(path_to_video) + + + + +def extract_audio_from_video(file: str, extension: str = 'wav') -> None: + """Extract the audio from a film and save it to a file. + + The audio is saved in the same directory as the film. + + Parameters: + file (str): The name of the film file to extract the audio from. + extension (str): The file extension of the audio file to save (default is ".wav"). + """ + assert extension in ["wav","mp3"] + clip = import_as_clip(file) + clip.audio.write_audiofile(f"{file.split(sep='.')[0]}.{extension}") diff --git a/bechdelai/data/youtube.py b/bechdelai/data/youtube.py index 4e595cb..bc2832a 100644 --- a/bechdelai/data/youtube.py +++ b/bechdelai/data/youtube.py @@ -1,7 +1,13 @@ from pytube import YouTube +import urllib.parse as urlparse +try: + from IPython.display import display,HTML +except: + print("Jupyter is not installed, you may encounter a few errors") -def download_youtube_video(link: str, filename: str, caption_language: str) -> None: + +def download_youtube_video(link: str, filename: str, download_captions:bool = False,caption_language: str = "en") -> None: """Download a youtube video with captions given an id Parameters @@ -26,25 +32,67 @@ def download_youtube_video(link: str, filename: str, caption_language: str) -> N print("Connection Error") return + filename = filename if filename.endswith(".mp4") else filename + ".mp4" + try: ( yt.streams.filter(progressive=True, file_extension="mp4") .order_by("resolution") .desc() .first() - ).download(filename=f"{filename}.mp4") + ).download(filename=filename) + + print(f"Saved the youtube video at {filename}") except Exception as e: print("Could not download the video!", e) - try: - captions = { - k: v - for k, v in yt.captions.lang_code_index.items() - if caption_language in k - } - for lang, caption in captions.items(): - caption.download(title=f"caption_{lang}", srt=False) - except Exception as e: - print("Could not download the caption!", e) - print("Task Completed!") + if download_captions: + try: + captions = { + k: v + for k, v in yt.captions.lang_code_index.items() + if caption_language in k + } + for lang, caption in captions.items(): + caption.download(title=f"caption_{lang}", srt=False) + except Exception as e: + print("Could not download the caption!", e) + print("Task Completed!") + + +def get_youtube_video_id_from_url(url): + """ + From https://stackoverflow.com/questions/48072619/how-can-i-import-urlparse-in-python-3 + Examples: + - http://youtu.be/SA2iWivDJiE + - http://www.youtube.com/watch?v=_oPAwA_Udwc&feature=feedu + - http://www.youtube.com/embed/SA2iWivDJiE + - http://www.youtube.com/v/SA2iWivDJiE?version=3&hl=en_US + """ + query = urlparse.urlparse(url) + if query.hostname == 'youtu.be': + return query.path[1:] + if query.hostname in ('www.youtube.com', 'youtube.com'): + if query.path == '/watch': + p = urlparse.parse_qs(query.query) + return p['v'][0] + if query.path[:7] == '/embed/': + return query.path.split('/')[2] + if query.path[:3] == '/v/': + return query.path.split('/')[2] + # fail? + return None + + +def show_youtube_in_notebook(url): + + video_id = get_youtube_video_id_from_url(url) + + html = f""" +
+ +
+ """ + + display(HTML(html)) \ No newline at end of file diff --git a/bechdelai/nlp/gpt.py b/bechdelai/nlp/gpt.py new file mode 100644 index 0000000..64aee6d --- /dev/null +++ b/bechdelai/nlp/gpt.py @@ -0,0 +1,64 @@ +import pandas as pd +import openai +from dotenv import load_dotenv +import os + + +class GPT3: + def __init__(self,api_key = None): + + # Set up API key + if api_key is None: + try: + load_dotenv() + api_key = os.environ["OPENAI_API_KEY"] + except: + raise Exception("No OpenAI key was found in the environment or in a .env file") + + assert api_key.startswith("sk-") + openai.api_key = api_key + + def generate(self,prompt,model = "text-davinci-003",max_tokens = 256,temperature = 0.7): + + response = openai.Completion.create( + model=model, + prompt=prompt, + temperature=temperature, + max_tokens=max_tokens, + top_p=1, + frequency_penalty=0, + presence_penalty=0 + ) + try: + return response["choices"][0]["text"] + except: + return response + + + def make_prompt(self,question,dialogue): + prompt = f""" + Dialogue: + {dialogue} + ------------------------------- + You are a social scientist, feminist and expert in gender representation in cinema and in culture. + You know everything about the Bechdel test and study gender and ethnic inequalities, in particular how women are represented in movies and the stereotypes shown onscreen + + Please answer the following question about the dialogue above by detailing your reasoning + + Question: {question} + Answer: + """ + return prompt + + def answer_questions(self,questions,dialogue,**kwargs): + + if isinstance(questions,str): questions = [questions] + + answers = [] + + for question in questions: + prompt = self.make_prompt(question,dialogue) + answer_question = self.generate(prompt,**kwargs) + answers.append({"question":question,"answer":answer_question}) + answers = pd.DataFrame(answers) + return answers \ No newline at end of file diff --git a/notebooks/audio/audio_recognition_test.ipynb b/notebooks/audio/audio_recognition_test.ipynb deleted file mode 100644 index 98a2df3..0000000 --- a/notebooks/audio/audio_recognition_test.ipynb +++ /dev/null @@ -1,1076 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Imports" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import moviepy.editor as mp\n", - "import speech_recognition as sr\n", - "from inaSpeechSegmenter import Segmenter\n", - "from inaSpeechSegmenter.export_funcs import seg2csv, seg2textgrid\n", - "import os\n", - "import pandas as pd\n", - "from tqdm import tqdm\n", - "tqdm.pandas()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Process 1 : Extraire l'audio d'une video" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "path_to_the_video = os.path.abspath(os.path.join(os.getcwd(),os.pardir,'data','sample_videos','cousinade_court_mΓ©trage.mp4'))" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "my_clip = mp.VideoFileClip(path_to_the_video)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "#Extract the audio\n", - "path_to_audio = os.path.abspath(os.path.join(path_to_the_video, os.pardir, 'cousinade_audio.wav'))\n", - "#my_clip.audio.write_audiofile(path_to_audio)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Process 2 : Extraire le texte" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "def decodeSpeech(wavefile, start_time = None, end_time = None, language = None):\n", - " \n", - " r = sr.Recognizer()\n", - " #r.pause_threshold = 3\n", - " #r.dynamic_energy_adjustment_damping = 0.5\n", - "\n", - " with sr.WavFile(wavefile) as source:\n", - " if start_time == None and end_time == None:\n", - " audio_text = r.record(source)\n", - " else:\n", - " audio_text = r.record(source, duration = end_time - start_time, offset = start_time)\n", - " \n", - " if language == None: #default language is American English\n", - " lg = \"en-US\"\n", - " else:\n", - " lg = language\n", - "\n", - " # recoginize_() method will throw a request error if the API is unreachable, hence using exception handling\n", - " try:\n", - " \n", - " # using google speech recognition\n", - " text = r.recognize_google(audio_text, language = lg)\n", - " print('Converting audio transcripts into text ...')\n", - " return text\n", - " \n", - " except:\n", - " print('Sorry.. run again...')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "language = \"fr-FR\"" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "seg = Segmenter()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "segmentation = seg(path_to_audio)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "mapper = {'source' : [], 'start_time' : [] , 'end_time' : [] }\n", - "for seg in segmentation:\n", - " mapper['source'].append(seg[0])\n", - " mapper['start_time'].append(seg[1])\n", - " mapper['end_time'].append(seg[2])\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "df = pd.DataFrame(mapper)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "female 29\n", - "male 24\n", - "noise 15\n", - "noEnergy 8\n", - "music 3\n", - "Name: source, dtype: int64" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.source.value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "df['text'] = ''" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 7%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 2/29 [00:10<02:19, 5.17s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 10%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 3/29 [00:14<02:06, 4.85s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 14%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 4/29 [00:16<01:29, 3.58s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 17%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 5/29 [00:16<01:00, 2.54s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 21%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 6/29 [00:17<00:45, 1.97s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 24%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/29 [00:18<00:36, 1.66s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 28%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/29 [00:19<00:27, 1.29s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sorry.. run again...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 31%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 9/29 [00:19<00:22, 1.12s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 34%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 10/29 [00:20<00:18, 1.03it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 38%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 11/29 [00:21<00:18, 1.03s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 41%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12/29 [00:22<00:14, 1.14it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 13/29 [00:22<00:12, 1.27it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 14/29 [00:23<00:13, 1.11it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 15/29 [00:24<00:12, 1.13it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 16/29 [00:25<00:11, 1.11it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 17/29 [00:26<00:10, 1.18it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 18/29 [00:27<00:08, 1.28it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sorry.. run again...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 19/29 [00:28<00:08, 1.18it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sorry.. run again...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 20/29 [00:29<00:08, 1.05it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 21/29 [00:31<00:09, 1.20s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 22/29 [00:32<00:08, 1.27s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 23/29 [00:33<00:07, 1.30s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/29 [00:35<00:06, 1.31s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 25/29 [00:37<00:06, 1.52s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 26/29 [00:38<00:04, 1.45s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 27/29 [00:39<00:02, 1.43s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 28/29 [00:41<00:01, 1.58s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 29/29 [00:42<00:00, 1.35s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 29/29 [00:43<00:00, 1.50s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sorry.. run again...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "df.loc[df['source']=='female','text'] =\\\n", - "df.loc[df['source']=='female',:].progress_apply(lambda x : decodeSpeech(path_to_audio, x['start_time'], x['end_time'], language), axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "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", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
sourcestart_timeend_timetext
2female6.8848.82merci ma cousine
5female86.28108.46du coup ton copain Γ§a fait une semaine amoureuse
8female118.48122.20numΓ©ro inconnu
10female126.16127.84ouais c'est moi c'est qui
12female129.82131.82Ouais je crois je me souviens
14female133.90139.66Γ§a va bien remis
16female149.46150.72None
18female152.72157.26du coup je crois que
21female159.34161.26Alex enchantΓ©
23female162.86167.62c'est que des trucs chez moi
26female168.94170.40bah ouais je crois bien ouais
28female171.72174.12c'est un peu galère avec ma mère
30female176.70180.60ok cool vers oΓΉ
33female189.86191.4034 avenue Gambetta
37female200.00201.7236 V 45
39female203.14204.68mais je crois que j'ai dΓ©jΓ  hΓ’te d'Γͺtre
41female206.30207.74None
43female217.00218.44None
45female222.84225.88Ouais Γ  demain bisous
47female228.96240.12bah c'est bon j'envoie demain trop bien je t'a...
49female241.70246.42et aller chez ouais en plus d'habitude j'aime ...
51female248.10254.48et il t'a prise par derrière deux fois que la ...
53female256.04261.74Il t'a pris Γ§a aussi on est allΓ© un peu fort j...
55female265.30275.96du coup ton copain alors la photo j'en ai pas ...
57female289.16293.62il s'appelle comment mon copain
59female294.62301.40mettez en plus on a mΓͺme pas mΓͺme pas beaucoup...
61female304.66313.68c'est fort c'est mΓͺme en fait c'Γ©tait juste le...
64female337.82340.70non t'inquiète il vous connaissez
68female352.28353.10None
\n", - "
" - ], - "text/plain": [ - " source start_time end_time \\\n", - "2 female 6.88 48.82 \n", - "5 female 86.28 108.46 \n", - "8 female 118.48 122.20 \n", - "10 female 126.16 127.84 \n", - "12 female 129.82 131.82 \n", - "14 female 133.90 139.66 \n", - "16 female 149.46 150.72 \n", - "18 female 152.72 157.26 \n", - "21 female 159.34 161.26 \n", - "23 female 162.86 167.62 \n", - "26 female 168.94 170.40 \n", - "28 female 171.72 174.12 \n", - "30 female 176.70 180.60 \n", - "33 female 189.86 191.40 \n", - "37 female 200.00 201.72 \n", - "39 female 203.14 204.68 \n", - "41 female 206.30 207.74 \n", - "43 female 217.00 218.44 \n", - "45 female 222.84 225.88 \n", - "47 female 228.96 240.12 \n", - "49 female 241.70 246.42 \n", - "51 female 248.10 254.48 \n", - "53 female 256.04 261.74 \n", - "55 female 265.30 275.96 \n", - "57 female 289.16 293.62 \n", - "59 female 294.62 301.40 \n", - "61 female 304.66 313.68 \n", - "64 female 337.82 340.70 \n", - "68 female 352.28 353.10 \n", - "\n", - " text \n", - "2 merci ma cousine \n", - "5 du coup ton copain Γ§a fait une semaine amoureuse \n", - "8 numΓ©ro inconnu \n", - "10 ouais c'est moi c'est qui \n", - "12 Ouais je crois je me souviens \n", - "14 Γ§a va bien remis \n", - "16 None \n", - "18 du coup je crois que \n", - "21 Alex enchantΓ© \n", - "23 c'est que des trucs chez moi \n", - "26 bah ouais je crois bien ouais \n", - "28 c'est un peu galΓ¨re avec ma mΓ¨re \n", - "30 ok cool vers oΓΉ \n", - "33 34 avenue Gambetta \n", - "37 36 V 45 \n", - "39 mais je crois que j'ai dΓ©jΓ  hΓ’te d'Γͺtre \n", - "41 None \n", - "43 None \n", - "45 Ouais Γ  demain bisous \n", - "47 bah c'est bon j'envoie demain trop bien je t'a... \n", - "49 et aller chez ouais en plus d'habitude j'aime ... \n", - "51 et il t'a prise par derriΓ¨re deux fois que la ... \n", - "53 Il t'a pris Γ§a aussi on est allΓ© un peu fort j... \n", - "55 du coup ton copain alors la photo j'en ai pas ... \n", - "57 il s'appelle comment mon copain \n", - "59 mettez en plus on a mΓͺme pas mΓͺme pas beaucoup... \n", - "61 c'est fort c'est mΓͺme en fait c'Γ©tait juste le... \n", - "64 non t'inquiΓ¨te il vous connaissez \n", - "68 None " - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.loc[df['source']=='female',:]" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "from pydub import AudioSegment\n", - "t1 = 168.94 * 1000 #Works in milliseconds\n", - "t2 = 170.40 * 1000\n", - "newAudio = AudioSegment.from_wav(path_to_audio)\n", - "newAudio = newAudio[t1:t2]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "pydub.audio_segment.AudioSegment" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(newAudio)" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<_io.BufferedRandom name='C:\\\\Users\\\\mehdi\\\\Desktop\\\\data_for_good\\\\mm2_bechdelai-vision\\\\data\\\\sample_videos\\\\tests.wav'>" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "newAudio.export(os.path.abspath(os.path.join(path_to_audio, os.pardir, 'tests.wav')), format=\"wav\")" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n" - ] - }, - { - "data": { - "text/plain": [ - "'bah ouais je crois bien ouais'" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "\n", - "decodeSpeech(os.path.abspath(os.path.join(path_to_audio, os.pardir, 'tests.wav')), start_time = None, end_time = None, language = language)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "#Resemblyzer" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.8.3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/notebooks/audio/bechdel_audio.ipynb b/notebooks/audio/bechdel_audio.ipynb deleted file mode 100644 index f4149f6..0000000 --- a/notebooks/audio/bechdel_audio.ipynb +++ /dev/null @@ -1,2398 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 22176, - "status": "ok", - "timestamp": 1643749891148, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "PoueSBaJ2tOw", - "outputId": "536f770c-216d-4ddb-ed1d-0f5daf705f71" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mounted at /content/drive\n" - ] - } - ], - "source": [ - "from google.colab import drive\n", - "import os\n", - "drive.mount('/content/drive')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "bKg4OIsQ2xdN" - }, - "outputs": [], - "source": [ - "!pip install transformers\n", - "!pip install speechbrain\n", - "!pip install inaSpeechSegmenter\n", - "!pip install asrecognition\n", - "!pip install SpeechRecognition\n", - "!pip install pydub\n", - "!pip install pyyaml==5.4.1" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "executionInfo": { - "elapsed": 26, - "status": "ok", - "timestamp": 1643749945788, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "gZ7fGZkQ3CzG" - }, - "outputs": [], - "source": [ - "video_dir = '/content/drive/MyDrive/DataForGood/bechdel/data/video'\n", - "audio_dir = '/content/drive/MyDrive/DataForGood/bechdel/data/audio'\n", - "chunks = '/content/drive/MyDrive/DataForGood/bechdel/data/audio/chunks'\n", - "folders = [video_dir, audio_dir, chunks]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "executionInfo": { - "elapsed": 854, - "status": "ok", - "timestamp": 1643749946621, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "E0CZPdrJ3Dhl" - }, - "outputs": [], - "source": [ - "for folder in folders:\n", - " if not os.path.isdir(folder) : \n", - " !mkdir -p {folder}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!wget https://github.com/dataforgoodfr/mm2_bechdelai-vision/blob/main/data/sample_audios/LA_LETTRE.wav -P {audio_dir}" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "executionInfo": { - "elapsed": 211, - "status": "ok", - "timestamp": 1643750013245, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "LngMKj-93EIV" - }, - "outputs": [], - "source": [ - "audio_path = os.path.join(audio_dir, 'LA_LETTRE.wav')\n", - "small_test = os.path.join(audio_dir, 'Enregistrement.wav')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "executionInfo": { - "elapsed": 11056, - "status": "ok", - "timestamp": 1643750027879, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "pOnmpB5d3vLu" - }, - "outputs": [], - "source": [ - "import plotly.express as px\n", - "import datetime\n", - "import torch\n", - "from torchaudio.sox_effects import apply_effects_file\n", - "from transformers import AutoFeatureExtractor, AutoModelForAudioXVector\n", - "from speechbrain.pretrained import SepformerSeparation as separator\n", - "import torchaudio\n", - "from speechbrain.pretrained import EncoderASR\n", - "from asrecognition import ASREngine\n", - "from pydub import AudioSegment\n", - "import transformers\n", - "import speech_recognition as sr\n", - "from inaSpeechSegmenter import Segmenter\n", - "from inaSpeechSegmenter.export_funcs import seg2csv, seg2textgrid\n", - "import os\n", - "import pandas as pd\n", - "from tqdm import tqdm\n", - "import re\n", - "tqdm.pandas()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "executionInfo": { - "elapsed": 326, - "status": "ok", - "timestamp": 1643750028190, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "z_XxbufZ4UIB" - }, - "outputs": [], - "source": [ - "def similarity_fn(path1, path2,treshold): \n", - " wav1, _ = apply_effects_file(path1, EFFECTS)\n", - " wav2, _ = apply_effects_file(path2, EFFECTS)\n", - " \n", - "\n", - " input1 = feature_extractor(wav1.squeeze(0), return_tensors=\"pt\", sampling_rate=16000).input_values.to(device)\n", - " input2 = feature_extractor(wav2.squeeze(0), return_tensors=\"pt\", sampling_rate=16000).input_values.to(device)\n", - "\n", - " with torch.no_grad():\n", - " emb1 = model(input1).embeddings\n", - " emb2 = model(input2).embeddings\n", - " emb1 = torch.nn.functional.normalize(emb1, dim=-1).cpu()\n", - " emb2 = torch.nn.functional.normalize(emb2, dim=-1).cpu()\n", - " similarity = cosine_sim(emb1, emb2).numpy()[0]\n", - "\n", - " if similarity >= treshold:\n", - " output = True\n", - " else:\n", - " output = False\n", - "\n", - " return output\n", - "\n", - "\n", - "def speech_segmenter(segmenter, wavfile): \n", - " segmentation = segmenter(wavfile)\n", - " \n", - " mapper = {'source' : [], 'start_time' : [] , 'end_time' : [] }\n", - " \n", - " for seg in segmentation:\n", - " mapper['source'].append(seg[0])\n", - " mapper['start_time'].append(seg[1])\n", - " mapper['end_time'].append(seg[2])\n", - "\n", - "\n", - " df = pd.DataFrame(mapper)\n", - " \n", - " return df\n", - "\n", - "def map_numbers(x,mapper):\n", - " for k in mapper.keys():\n", - " if x in mapper[k]:\n", - " return k\n", - "\n", - "\n", - "\n", - "def crop_and_save_segments(wavfile, chunks_path, index, start_time, end_time):\n", - " sound = AudioSegment.from_file(wavfile)\n", - " segment = sound[start_time*1000:end_time*1000]\n", - " segment.export(os.path.join(chunks_path,f'female{index}.wav'), format=\"wav\")\n", - " segment_fname = os.path.join(chunks_path,f'female{index}.wav')\n", - " return segment_fname\n", - " \n", - "def indexing_persons(path1, path2, treshold, women_index):\n", - " is_same = similarity_fn(path1, path2, treshold)\n", - " return women_index if is_same else -1 \n", - "\n", - "\n", - "def compare_voices_from_audio(wavfile, chunks_path, model, segmenter, treshold ) :\n", - " \"\"\"\n", - " This function processes a wavefile and crops it according to female segmented speeches\n", - " It then takes saved chunks of female voices and compares them one-to-one in a O(n) way\n", - " It adds a categorical column indexing each woman in the audio\n", - " It then returns : \n", - " the segmentation dataframe\n", - " the distinct women dataframe\n", - " the indexed persons dataframe\n", - "\n", - " \"\"\"\n", - " print(r'******************')\n", - " print(\"Segmenting audio file...\")\n", - " print(r'******************')\n", - " df = speech_segmenter(segmenter, wavfile)\n", - " df.reset_index(drop=False,inplace=True)\n", - " \n", - " print(r'******************')\n", - " print(\"Exporting cropped audio files...\")\n", - " print(r'******************')\n", - " df.loc[df['source']=='female',\"female_fname\"] = df.loc[df['source']=='female',:].progress_apply(lambda x :\\\n", - " crop_and_save_segments(wavfile, chunks_path, x['index'], x['start_time'], x['end_time']), axis=1)\n", - "\n", - " df['person_indexer'] = -1\n", - " all_women = df.loc[df['source']=='female',:]\n", - " \n", - " \n", - " print(r'******************')\n", - " print(\"Comparing Voices...\")\n", - " print(r'******************')\n", - " all_women.reset_index(drop=True,inplace=True)\n", - " grappes = []\n", - " dropped = []\n", - " for i in tqdm(range(1,len(all_women))):\n", - " to_loop = list(range(0,i))\n", - " for x in dropped:\n", - " to_loop.remove(x)\n", - " for j in to_loop[::-1]:\n", - " rowi1 = all_women.loc[j,\"female_fname\"]\n", - " rowi = all_women.loc[i,\"female_fname\"]\n", - " is_same = similarity_fn(os.path.join(chunks_path,rowi1), os.path.join(chunks_path,rowi),treshold=treshold)\n", - " if is_same :\n", - " grappes.append([rowi,rowi1])\n", - " dropped.append(j)\n", - " break \n", - " \n", - " \n", - " print(r'******************')\n", - " print(\"Indexing Persons...\")\n", - " print(r'******************')\n", - " for cpl in grappes:\n", - " cpl[0] = int(re.findall(r'\\d+', cpl[0])[0])\n", - " cpl[1] = int(re.findall(r'\\d+', cpl[1])[0])\n", - "\n", - " groups = []\n", - " while len(grappes)!=0: \n", - " group = []\n", - " to_drop = []\n", - " for i in tqdm(range(len(grappes))):\n", - " if i==0:\n", - " group = list(set(group + grappes[i]))\n", - " if len(set(group + grappes[i])) < len(group + grappes[i]):\n", - " group = list(set(group + grappes[i]))\n", - " to_drop.append(i)\n", - "\n", - " groups.append(group)\n", - " to_keep = list(set(list(range(len(grappes)))) - set(to_drop))\n", - " grappes = [grappes[p] for p in to_keep]\n", - " \n", - " mapper = {k : groups[k] for k in range(len(groups))}\n", - "\n", - " all_women['number'] = all_women['female_fname'].progress_apply(lambda x : int(re.findall(r'\\d+', x)[0]))\n", - "\n", - " all_women['person_indexer'] = all_women['number'].progress_apply(lambda x : map_numbers(x,mapper))\n", - "\n", - " return df, all_women , groups, dropped" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "executionInfo": { - "elapsed": 212, - "status": "ok", - "timestamp": 1643750029651, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "bmY1y21L49ly" - }, - "outputs": [], - "source": [ - "treshold = 0.80\n", - "EFFECTS = [\n", - " [\"remix\", \"-\"],\n", - " [\"channels\", \"1\"],\n", - " [\"rate\", \"16000\"],\n", - " [\"gain\", \"-1.0\"],\n", - " [\"silence\", \"1\", \"0.1\", \"0.1%\", \"-1\", \"0.1\", \"0.1%\"],\n", - " [\"trim\", \"0\", \"10\"],\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 113, - "referenced_widgets": [ - "c74dc430d42b4da3bf609c8eea8f62a5", - "1edc0fa8263249a2beeb9598b94ca4eb", - "17f5c6dc32a849e89d6412116d6b421f", - "d90a0de5281243b7ba0aef8114085f9d", - "17ce6b7ac8544136ae6a89eacfca2a51", - "f4d96faa43084c9182cb99d42adda4a8", - "2549bb95822c4a239d14e3c38f6816bc", - "93aaf1abc9324e35af2d12b894a8389c", - "01897153fda84728a3977a7c24bc849a", - "30e4b90eab3f417d92dbe9f4719e4a3b", - "763994faa99440ee97f3988a6261216e", - "568387f8e4bb440fb3767cb6f3dc6243", - "5554ecb15bf24b2591c61e94475ec0b3", - "8bd2013260dd41399d7028bfa3ca14c5", - "5022259aa1d14bcbad558cc7e321b407", - "848bbaeaac744084a40cb0d7f6db6dbe", - "e48a980eb87d42ad80b17c9284f493fc", - "7e6fb5207613491c809bca3999d4437f", - "5d4d48cf840a40c0811f5bcdc7cb7c1b", - "05a1cdf8a7b44b639a83fbdd6483661e", - "a30294c36c5c4d69bb24047a9fe03e89", - "340c8f2b7e86421eb77ef52a88e1fcac", - "d796398f7c7b48af9fb67cf3e3b6eeac", - "f2106400a5e14cb1a9aeacd678bb1a66", - "2e040c9d980243dc89fb210646c35c5e", - "6110c8b14e294e2980ed55f2807a4dab", - "40beec03e13a42158ed994d88901d896", - "8c433c704243472c836a5e0cb413c2b0", - "00535c063c4b4f479e88015250037ab3", - "a01956ce46ed4b8691b8488df4350d87", - "6c53eef5d86e418f977a9eb456aae3ad", - "35faaba47dd54140bc65a34587fc49bc", - "356d36895ecf42dba78af790851cb0bc" - ] - }, - "executionInfo": { - "elapsed": 14850, - "status": "ok", - "timestamp": 1643750046817, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "qZX1YX594W5P", - "outputId": "07254897-1a82-4b91-d4e2-f5ab239b316f" - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c74dc430d42b4da3bf609c8eea8f62a5", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/57.3k [00:00\n", - "
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
indexsourcestart_timeend_timefemale_fnameperson_indexernumber
02female12.4417.96/content/drive/MyDrive/DataForGood/bechdel/dat...0.02
17female54.6866.58/content/drive/MyDrive/DataForGood/bechdel/dat...0.07
29female69.1272.48/content/drive/MyDrive/DataForGood/bechdel/dat...0.09
313female76.8284.88/content/drive/MyDrive/DataForGood/bechdel/dat...0.013
415female85.3086.98/content/drive/MyDrive/DataForGood/bechdel/dat...0.015
517female88.3489.08/content/drive/MyDrive/DataForGood/bechdel/dat...0.017
620female92.2293.48/content/drive/MyDrive/DataForGood/bechdel/dat...1.020
722female98.68100.24/content/drive/MyDrive/DataForGood/bechdel/dat...0.022
824female100.80103.60/content/drive/MyDrive/DataForGood/bechdel/dat...0.024
937female134.98137.06/content/drive/MyDrive/DataForGood/bechdel/dat...0.037
1039female138.96141.76/content/drive/MyDrive/DataForGood/bechdel/dat...0.039
1154female207.98209.82/content/drive/MyDrive/DataForGood/bechdel/dat...NaN54
1267female252.06256.34/content/drive/MyDrive/DataForGood/bechdel/dat...0.067
1369female257.98261.00/content/drive/MyDrive/DataForGood/bechdel/dat...0.069
1471female263.10264.96/content/drive/MyDrive/DataForGood/bechdel/dat...0.071
1574female269.24270.70/content/drive/MyDrive/DataForGood/bechdel/dat...0.074
1677female273.40275.46/content/drive/MyDrive/DataForGood/bechdel/dat...1.077
\n", - "
\n", - " \n", - " \n", - " \n", - "\n", - " \n", - "
\n", - " \n", - " " - ], - "text/plain": [ - " index source ... person_indexer number\n", - "0 2 female ... 0.0 2\n", - "1 7 female ... 0.0 7\n", - "2 9 female ... 0.0 9\n", - "3 13 female ... 0.0 13\n", - "4 15 female ... 0.0 15\n", - "5 17 female ... 0.0 17\n", - "6 20 female ... 1.0 20\n", - "7 22 female ... 0.0 22\n", - "8 24 female ... 0.0 24\n", - "9 37 female ... 0.0 37\n", - "10 39 female ... 0.0 39\n", - "11 54 female ... NaN 54\n", - "12 67 female ... 0.0 67\n", - "13 69 female ... 0.0 69\n", - "14 71 female ... 0.0 71\n", - "15 74 female ... 0.0 74\n", - "16 77 female ... 1.0 77\n", - "\n", - "[17 rows x 7 columns]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_women" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 255, - "status": "ok", - "timestamp": 1643751431487, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "Ji_4gXYROE10", - "outputId": "df7342c2-bfd7-4329-de6c-8e7e187a0c08" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 17 entries, 0 to 16\n", - "Data columns (total 9 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 index 17 non-null int64 \n", - " 1 source 17 non-null object \n", - " 2 start_time 17 non-null float64 \n", - " 3 end_time 17 non-null float64 \n", - " 4 female_fname 17 non-null object \n", - " 5 person_indexer 16 non-null float64 \n", - " 6 number 17 non-null int64 \n", - " 7 start_datetime 17 non-null datetime64[ns]\n", - " 8 end_datetime 17 non-null datetime64[ns]\n", - "dtypes: datetime64[ns](2), float64(3), int64(2), object(2)\n", - "memory usage: 1.3+ KB\n" - ] - } - ], - "source": [ - "all_women.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "executionInfo": { - "elapsed": 328, - "status": "ok", - "timestamp": 1643752272305, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "2R1srKThOLxj" - }, - "outputs": [], - "source": [ - "df = df.drop(columns=['person_indexer'])" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "executionInfo": { - "elapsed": 219, - "status": "ok", - "timestamp": 1643752277270, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "OVNUZFyNRBvl" - }, - "outputs": [], - "source": [ - "all_women2 = all_women[['female_fname','person_indexer']]" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": { - "executionInfo": { - "elapsed": 251, - "status": "ok", - "timestamp": 1643755468504, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "ifeEuoEMOkXT" - }, - "outputs": [], - "source": [ - "df_graph = pd.merge(df, all_women2 , 'left' , on='female_fname')" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": { - "executionInfo": { - "elapsed": 4, - "status": "ok", - "timestamp": 1643755469637, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "o0PHRZLURbc2" - }, - "outputs": [], - "source": [ - "df_graph.drop(columns=['index'],inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": { - "executionInfo": { - "elapsed": 250, - "status": "ok", - "timestamp": 1643755475295, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "lbQA-QjPRpv0" - }, - "outputs": [], - "source": [ - "df_graph['start_datetime'] = df_graph['start_time'].apply(lambda x : datetime.datetime.now() + datetime.timedelta(seconds=x))\n", - "df_graph['end_datetime'] = df_graph['end_time'].apply(lambda x : datetime.datetime.now() + datetime.timedelta(seconds=x))" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": { - "executionInfo": { - "elapsed": 209, - "status": "ok", - "timestamp": 1643755480268, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "L6C76IlvRxxa" - }, - "outputs": [], - "source": [ - "df_graph['person_indexer'] = df_graph['person_indexer'].fillna(-1).astype('int').astype('object')" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": { - "executionInfo": { - "elapsed": 565, - "status": "ok", - "timestamp": 1643755567484, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "oJlcwUDQdiHS" - }, - "outputs": [], - "source": [ - "df_graph['person_indexer'] = df_graph['person_indexer'].apply(lambda x : 'Female ' + str(x))" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "metadata": { - "executionInfo": { - "elapsed": 202, - "status": "ok", - "timestamp": 1643755570538, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "30eg7xSXSX0z" - }, - "outputs": [], - "source": [ - "df_graph.loc[df_graph['source']== 'male' ,'person_indexer'] = 'male'\n", - "df_graph.loc[df_graph['source']== 'noEnergy' ,'person_indexer'] = 'silence'\n", - "df_graph.loc[df_graph['source']== 'noise' ,'person_indexer'] = 'bruit'\n", - "df_graph.loc[df_graph['source']== 'music' ,'person_indexer'] = 'musique'" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 250, - "status": "ok", - "timestamp": 1643755579523, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "ZwDNsecWdOzd", - "outputId": "7fd6f129-9ce7-4e12-90e5-18f62353c78e" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "male 27\n", - "silence 20\n", - "bruit 15\n", - "Female 0 14\n", - "musique 13\n", - "Female 1 2\n", - "Female -1 1\n", - "Name: person_indexer, dtype: int64" - ] - }, - "execution_count": 101, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_graph.person_indexer.value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": { - "executionInfo": { - "elapsed": 223, - "status": "ok", - "timestamp": 1643755596850, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "cUTx9GiZS0Cb" - }, - "outputs": [], - "source": [ - "df_graph = df_graph.drop(df_graph[df_graph.person_indexer == 'Female -1'].index).reset_index(drop=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 542 - }, - "executionInfo": { - "elapsed": 361, - "status": "ok", - "timestamp": 1643755989142, - "user": { - "displayName": "Mehdi Agunaou", - "photoUrl": "https://lh3.googleusercontent.com/a/default-user=s64", - "userId": "15746146104404176496" - }, - "user_tz": -60 - }, - "id": "MZwFyDiuEV5G", - "outputId": "ae101403-d353-42ad-df6c-30e815f29248" - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "
\n", - "
\n", - "\n", - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = px.timeline(data_frame=df_graph, x_start='start_datetime', x_end='end_datetime', y='person_indexer', color='person_indexer', facet_row=None, facet_col=None,\n", - " facet_col_wrap=0, facet_row_spacing=None, facet_col_spacing=None, hover_name=None, hover_data=None,\n", - " custom_data=None, text=None, animation_frame=None, animation_group=None, category_orders=None, labels=None, color_discrete_sequence=None, color_discrete_map=None,\n", - " color_continuous_scale=None, range_color=None, color_continuous_midpoint=None, opacity=None, range_x=None, range_y=None, title=None, template=None, width=None, height=None)\n", - "\n", - "fig.update_yaxes(categoryarray=['musique','bruit','silence','male'] + ['Female ' + str(x) for x in range(len(df_graph.person_indexer.value_counts().tolist())-4)][::-1])\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "4gMXDRwsfeMq" - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "authorship_tag": "ABX9TyMbfoP/P+Rrum6C/f2LqpaX", - "collapsed_sections": [], - "name": "Copie de bechdel_audio.ipynb", - "provenance": [ - { - "file_id": "1Az7MsUMmjEKJTgXhJRAHH81dBttb8XNV", - "timestamp": 1643756250965 - } - ] - }, - "kernelspec": { - "display_name": "Python 3", - "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": "3.8.3" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "00535c063c4b4f479e88015250037ab3": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "01897153fda84728a3977a7c24bc849a": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "05a1cdf8a7b44b639a83fbdd6483661e": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "17ce6b7ac8544136ae6a89eacfca2a51": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_763994faa99440ee97f3988a6261216e", - "placeholder": "​", - "style": "IPY_MODEL_30e4b90eab3f417d92dbe9f4719e4a3b", - "value": " 57.3k/57.3k [00:00<00:00, 1.18MB/s]" - } - }, - "17f5c6dc32a849e89d6412116d6b421f": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_2549bb95822c4a239d14e3c38f6816bc", - "placeholder": "​", - "style": "IPY_MODEL_f4d96faa43084c9182cb99d42adda4a8", - "value": "Downloading: 100%" - } - }, - "1edc0fa8263249a2beeb9598b94ca4eb": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "2549bb95822c4a239d14e3c38f6816bc": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "2e040c9d980243dc89fb210646c35c5e": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_00535c063c4b4f479e88015250037ab3", - "placeholder": "​", - "style": "IPY_MODEL_8c433c704243472c836a5e0cb413c2b0", - "value": "Downloading: 100%" - } - }, - "30e4b90eab3f417d92dbe9f4719e4a3b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "340c8f2b7e86421eb77ef52a88e1fcac": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "356d36895ecf42dba78af790851cb0bc": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "35faaba47dd54140bc65a34587fc49bc": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "40beec03e13a42158ed994d88901d896": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_356d36895ecf42dba78af790851cb0bc", - "placeholder": "​", - "style": "IPY_MODEL_35faaba47dd54140bc65a34587fc49bc", - "value": " 386M/386M [00:10<00:00, 43.9MB/s]" - } - }, - "5022259aa1d14bcbad558cc7e321b407": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_05a1cdf8a7b44b639a83fbdd6483661e", - "max": 215, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_5d4d48cf840a40c0811f5bcdc7cb7c1b", - "value": 215 - } - }, - "5554ecb15bf24b2591c61e94475ec0b3": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "568387f8e4bb440fb3767cb6f3dc6243": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_8bd2013260dd41399d7028bfa3ca14c5", - "IPY_MODEL_5022259aa1d14bcbad558cc7e321b407", - "IPY_MODEL_848bbaeaac744084a40cb0d7f6db6dbe" - ], - "layout": "IPY_MODEL_5554ecb15bf24b2591c61e94475ec0b3" - } - }, - "5d4d48cf840a40c0811f5bcdc7cb7c1b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "6110c8b14e294e2980ed55f2807a4dab": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_6c53eef5d86e418f977a9eb456aae3ad", - "max": 404547053, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_a01956ce46ed4b8691b8488df4350d87", - "value": 404547053 - } - }, - "6c53eef5d86e418f977a9eb456aae3ad": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "763994faa99440ee97f3988a6261216e": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "7e6fb5207613491c809bca3999d4437f": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "848bbaeaac744084a40cb0d7f6db6dbe": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_340c8f2b7e86421eb77ef52a88e1fcac", - "placeholder": "​", - "style": "IPY_MODEL_a30294c36c5c4d69bb24047a9fe03e89", - "value": " 215/215 [00:00<00:00, 5.44kB/s]" - } - }, - "8bd2013260dd41399d7028bfa3ca14c5": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_7e6fb5207613491c809bca3999d4437f", - "placeholder": "​", - "style": "IPY_MODEL_e48a980eb87d42ad80b17c9284f493fc", - "value": "Downloading: 100%" - } - }, - "8c433c704243472c836a5e0cb413c2b0": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "93aaf1abc9324e35af2d12b894a8389c": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "a01956ce46ed4b8691b8488df4350d87": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "a30294c36c5c4d69bb24047a9fe03e89": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "c74dc430d42b4da3bf609c8eea8f62a5": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_17f5c6dc32a849e89d6412116d6b421f", - "IPY_MODEL_d90a0de5281243b7ba0aef8114085f9d", - "IPY_MODEL_17ce6b7ac8544136ae6a89eacfca2a51" - ], - "layout": "IPY_MODEL_1edc0fa8263249a2beeb9598b94ca4eb" - } - }, - "d796398f7c7b48af9fb67cf3e3b6eeac": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_2e040c9d980243dc89fb210646c35c5e", - "IPY_MODEL_6110c8b14e294e2980ed55f2807a4dab", - "IPY_MODEL_40beec03e13a42158ed994d88901d896" - ], - "layout": "IPY_MODEL_f2106400a5e14cb1a9aeacd678bb1a66" - } - }, - "d90a0de5281243b7ba0aef8114085f9d": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_01897153fda84728a3977a7c24bc849a", - "max": 58639, - "min": 0, - "orientation": "horizontal", - "style": "IPY_MODEL_93aaf1abc9324e35af2d12b894a8389c", - "value": 58639 - } - }, - "e48a980eb87d42ad80b17c9284f493fc": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "f2106400a5e14cb1a9aeacd678bb1a66": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "f4d96faa43084c9182cb99d42adda4a8": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - } - } - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/notebooks/audio/gender_and_text_recognition.ipynb b/notebooks/audio/gender_and_text_recognition.ipynb deleted file mode 100644 index ac12292..0000000 --- a/notebooks/audio/gender_and_text_recognition.ipynb +++ /dev/null @@ -1,602 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "duJI03wcaVcH" - }, - "source": [ - "# Installation" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "DvVVFP7Bdkbw" - }, - "outputs": [], - "source": [ - "# moviepy [MIT Licence] >>> extraction de son\n", - "# https://towardsdatascience.com/extracting-audio-from-video-using-python-58856a940fd\n", - "\n", - "# inaSpeechSegmenter [MIT Licence] >>> reconnaissance du genre du locuteur\n", - "\n", - "# SpeechRecognition [BSD License] >>> speech to text\n", - "# https://pypi.org/project/SpeechRecognition/2.1.3/\n", - "# https://openclassrooms.com/forum/sujet/reconnaissance-vocale-en-python-1\n", - "# https://medium.com/@garcjes/transcribe-a-podcast-in-python-with-vosk-api-35eba7d96c1f" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aIue2grbaRt7", - "outputId": "23c1c72d-8354-4eae-83d4-690d1bac4137" - }, - "outputs": [], - "source": [ - "# !pip install moviepy\n", - "# !pip install inaSpeechSegmenter\n", - "# !pip install SpeechRecognition" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "zD4yPXOCf1Re" - }, - "source": [ - "# 1. Extract the audio with moviepy" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-wX2uuk3ZfFC", - "outputId": "29ba04cb-a622-4a45-d833-3965cf2bbdca" - }, - "outputs": [], - "source": [ - "import moviepy.editor as mp" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "jtac8ZyEbH6K" - }, - "outputs": [], - "source": [ - "# Make sure to upload a video in \"./media\" !\n", - "path_to_the_video = r\"./media/video2.mp4\"\n", - "my_clip = mp.VideoFileClip(path_to_the_video)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "d2DcL6D7fPTp", - "outputId": "495d4447-31c6-471a-90cf-a9b6bed028ce" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MoviePy - Writing audio in ./media/extract.wav\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MoviePy - Done.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r" - ] - } - ], - "source": [ - "# Extract the audio\n", - "my_clip.audio.write_audiofile(r\"./media/extract.wav\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "SqVCNh-ugD3I" - }, - "source": [ - "# 2. Extract the text with SpeechRecognition" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "id": "AupEsTpgdfYD" - }, - "outputs": [], - "source": [ - "import speech_recognition as sr" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "id": "nCk5PadigHjg" - }, - "outputs": [], - "source": [ - "def decodeSpeech(wavefile, start_time = None, end_time = None, language = None):\n", - " \n", - " r = sr.Recognizer()\n", - " #r.pause_threshold = 3\n", - " #r.dynamic_energy_adjustment_damping = 0.5\n", - "\n", - " with sr.WavFile(wavefile) as source:\n", - " if start_time == None and end_time == None:\n", - " audio_text = r.record(source)\n", - " else:\n", - " audio_text = r.record(source, duration = end_time - start_time, offset = start_time)\n", - " \n", - " if language == None: #default language is American English\n", - " lg = \"en-US\"\n", - " else:\n", - " lg = language\n", - "\n", - " # recoginize_() method will throw a request error if the API is unreachable, hence using exception handling\n", - " try:\n", - " \n", - " # using google speech recognition\n", - " text = r.recognize_google(audio_text, language = lg)\n", - " print('Converting audio transcripts into text ...')\n", - " return text\n", - " \n", - " except:\n", - " print('Sorry.. run again...')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "id": "nd7qZeb4gqyF" - }, - "outputs": [], - "source": [ - "# Define the audio file to perform speech-recognition and segmentation:\n", - "WAVFILE = \"./media/extract.wav\"\n", - "language = \"fr-FR\"" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "bS5u0SuRhpg9" - }, - "source": [ - "# 3. Gender Recognition with inaSpeechSegmenter" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "id": "8uLPzHnEgwqb" - }, - "outputs": [], - "source": [ - "# Load the API\n", - "from inaSpeechSegmenter import Segmenter\n", - "from inaSpeechSegmenter.export_funcs import seg2csv, seg2textgrid" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "id": "INydwLYlh6i9" - }, - "outputs": [], - "source": [ - "# select a media to analyse\n", - "# any media supported by ffmpeg may be used (video, audio, urls)\n", - "media = WAVFILE" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "id": "wUTbj7adh_hA" - }, - "outputs": [], - "source": [ - "# create an instance of speech segmenter\n", - "# this loads neural networks and may last few seconds\n", - "# Warnings have no incidence on the results\n", - "seg = Segmenter()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "id": "6yPE4gT4iBIo" - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2021-12-22 08:53:26.432257: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)\n" - ] - } - ], - "source": [ - "# segmentation is performed using the __call__ method of the segmenter instance\n", - "segmentation = seg(media)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "lpbvC5X4iCer", - "outputId": "4a322823-17b1-432f-be22-b7e24683d86f" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[('male', 0.0, 3.24), ('female', 3.24, 4.28), ('noise', 4.28, 6.72), ('male', 6.72, 15.22), ('female', 15.22, 16.46), ('noEnergy', 16.46, 17.18), ('male', 17.18, 20.18), ('noise', 20.18, 24.16), ('male', 24.16, 29.1), ('female', 29.1, 31.46), ('male', 31.46, 34.46), ('noEnergy', 34.46, 35.46), ('female', 35.46, 43.52)]\n" - ] - } - ], - "source": [ - "# the result is a list of tuples\n", - "# each tuple contains:\n", - "# * label in 'male', 'female', 'music', 'noEnergy'\n", - "# * start time of the segment\n", - "# * end time of the segment\n", - "print(segmentation)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "gItfxBigiloO", - "outputId": "89978f50-fac8-4c34-9806-6b6ae8a51d4d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting audio transcripts into text ...\n", - "Converting audio transcripts into text ...\n", - "Sorry.. run again...\n", - "Converting audio transcripts into text ...\n", - "Sorry.. run again...\n", - "Sorry.. run again...\n", - "Converting audio transcripts into text ...\n", - "Sorry.. run again...\n", - "Converting audio transcripts into text ...\n", - "Converting audio transcripts into text ...\n", - "Converting audio transcripts into text ...\n", - "Sorry.. run again...\n", - "Converting audio transcripts into text ...\n" - ] - }, - { - "data": { - "text/plain": [ - "[{'type': 'male', 'start_time': 0.0, 'end_time': 3.24, 'text': 'et alors'},\n", - " {'type': 'female',\n", - " 'start_time': 3.24,\n", - " 'end_time': 4.28,\n", - " 'text': 'donne-moi mon'},\n", - " {'type': 'noise', 'start_time': 4.28, 'end_time': 6.72, 'text': None},\n", - " {'type': 'male',\n", - " 'start_time': 6.72,\n", - " 'end_time': 15.22,\n", - " 'text': \"tu as fait quelque chose pour mΓ©riter ta nourriture ses cΓ©rΓ©ales je sais payer avec mon argent j'ai gagnΓ© parce que j'ai travaillΓ©\"},\n", - " {'type': 'female', 'start_time': 15.22, 'end_time': 16.46, 'text': None},\n", - " {'type': 'noEnergy', 'start_time': 16.46, 'end_time': 17.18, 'text': None},\n", - " {'type': 'male',\n", - " 'start_time': 17.18,\n", - " 'end_time': 20.18,\n", - " 'text': \"j'ai dΓ©jΓ  vu dans des dans le quartier\"},\n", - " {'type': 'noise', 'start_time': 20.18, 'end_time': 24.16, 'text': None},\n", - " {'type': 'male',\n", - " 'start_time': 24.16,\n", - " 'end_time': 29.1,\n", - " 'text': 'choisis entre 1 et 6 tu es une voleuse tant pis pour toi'},\n", - " {'type': 'female',\n", - " 'start_time': 29.1,\n", - " 'end_time': 31.46,\n", - " 'text': \"qu'est-ce que vous croyez qu'on choisit d'Γͺtre Γ  la rue\"},\n", - " {'type': 'male',\n", - " 'start_time': 31.46,\n", - " 'end_time': 34.46,\n", - " 'text': 'tu es jeune si tu voulais vraiment bosser tu bosses'},\n", - " {'type': 'noEnergy', 'start_time': 34.46, 'end_time': 35.46, 'text': None},\n", - " {'type': 'female',\n", - " 'start_time': 35.46,\n", - " 'end_time': 43.52,\n", - " 'text': \"ma mΓ¨re Γ©tait toxico ma grand-mΓ¨re qui m'a Γ©levΓ© elle a bossΓ© toute sa vie comme caissiΓ¨re pour m'aider Γ  payer mes Γ©tudes\"}]" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Perform speech-to-text with SpeechRecognition for each element in the male/female segmentation\n", - "\n", - "segmentation_bis = []\n", - "\n", - "for segment in segmentation:\n", - " segment_bis = {\"type\" : segment[0],\n", - " \"start_time\" : segment[1],\n", - " \"end_time\" : segment[2],\n", - " \"text\" : decodeSpeech(wavefile = WAVFILE, start_time = segment[1], end_time = segment[2], language = language)\n", - " }\n", - " segmentation_bis.append(segment_bis)\n", - "\n", - "segmentation_bis" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 332 - }, - "id": "OYd7cPvwiK9_", - "outputId": "b60a5b9c-6214-4fba-8b08-cf41f7245b1a" - }, - "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", - "
typestart_timeend_timetext
0male0.003.24et alors
1female3.244.28donne-moi mon
3male6.7215.22tu as fait quelque chose pour mΓ©riter ta nourr...
4female15.2216.46None
6male17.1820.18j'ai dΓ©jΓ  vu dans des dans le quartier
8male24.1629.10choisis entre 1 et 6 tu es une voleuse tant pi...
9female29.1031.46qu'est-ce que vous croyez qu'on choisit d'Γͺtre...
10male31.4634.46tu es jeune si tu voulais vraiment bosser tu b...
12female35.4643.52ma mère était toxico ma grand-mère qui m'a éle...
\n", - "
" - ], - "text/plain": [ - " type start_time end_time \\\n", - "0 male 0.00 3.24 \n", - "1 female 3.24 4.28 \n", - "3 male 6.72 15.22 \n", - "4 female 15.22 16.46 \n", - "6 male 17.18 20.18 \n", - "8 male 24.16 29.10 \n", - "9 female 29.10 31.46 \n", - "10 male 31.46 34.46 \n", - "12 female 35.46 43.52 \n", - "\n", - " text \n", - "0 et alors \n", - "1 donne-moi mon \n", - "3 tu as fait quelque chose pour mΓ©riter ta nourr... \n", - "4 None \n", - "6 j'ai dΓ©jΓ  vu dans des dans le quartier \n", - "8 choisis entre 1 et 6 tu es une voleuse tant pi... \n", - "9 qu'est-ce que vous croyez qu'on choisit d'Γͺtre... \n", - "10 tu es jeune si tu voulais vraiment bosser tu b... \n", - "12 ma mΓ¨re Γ©tait toxico ma grand-mΓ¨re qui m'a Γ©le... " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "df = pd.DataFrame(segmentation_bis)\n", - "df[(df[\"type\"] == \"male\") | (df[\"type\"] == \"female\")]" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "GFvpq8ecjck8" - }, - "source": [ - "# IdΓ©es pour la suite" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "SythQ02YjehZ" - }, - "outputs": [], - "source": [ - "# DΓ©tection de voix distinctes --> du type --> female1, female2, male1, etc.\n", - "# ---> resemblyzer ?\n", - "# ---> https://www.audiolabs-erlangen.de/resources/2017-CountNet" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "Ik2DmGa04M_d" - }, - "outputs": [], - "source": [ - "# !pip install resemblyze\n", - "\n", - "# from resemblyzer import VoiceEncoder, preprocess_wav\n", - "# from pathlib import Path\n", - "# import numpy as np\n", - "\n", - "# WAVFILE = '/content/extraction_du_son.wav'\n", - "\n", - "# fpath = Path(WAVFILE)\n", - "# wav = preprocess_wav(fpath)\n", - "\n", - "# encoder = VoiceEncoder()\n", - "# embed = encoder.embed_utterance(wav)\n", - "# np.set_printoptions(precision=3, suppress=True)\n", - "# # print(embed)" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "21-12-09 - Extraction du genre et du texte.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "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": "3.8.3" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/poetry.lock b/poetry.lock index ec4d928..df35288 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,18 +1,164 @@ +# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. + [[package]] name = "absl-py" -version = "1.3.0" +version = "1.4.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"}, + {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"}, +] + +[[package]] +name = "aiofiles" +version = "23.1.0" +description = "File support for asyncio." +category = "main" +optional = false +python-versions = ">=3.7,<4.0" +files = [ + {file = "aiofiles-23.1.0-py3-none-any.whl", hash = "sha256:9312414ae06472eb6f1d163f555e466a23aed1c8f60c30cccf7121dba2e53eb2"}, + {file = "aiofiles-23.1.0.tar.gz", hash = "sha256:edd247df9a19e0db16534d4baaf536d6609a43e1de5401d7a4c1c148753a1635"}, +] + +[[package]] +name = "aiohttp" +version = "3.8.4" +description = "Async http client/server framework (asyncio)" +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5ce45967538fb747370308d3145aa68a074bdecb4f3a300869590f725ced69c1"}, + {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b744c33b6f14ca26b7544e8d8aadff6b765a80ad6164fb1a430bbadd593dfb1a"}, + {file = "aiohttp-3.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1a45865451439eb320784918617ba54b7a377e3501fb70402ab84d38c2cd891b"}, + {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a86d42d7cba1cec432d47ab13b6637bee393a10f664c425ea7b305d1301ca1a3"}, + {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee3c36df21b5714d49fc4580247947aa64bcbe2939d1b77b4c8dcb8f6c9faecc"}, + {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:176a64b24c0935869d5bbc4c96e82f89f643bcdf08ec947701b9dbb3c956b7dd"}, + {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c844fd628851c0bc309f3c801b3a3d58ce430b2ce5b359cd918a5a76d0b20cb5"}, + {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5393fb786a9e23e4799fec788e7e735de18052f83682ce2dfcabaf1c00c2c08e"}, + {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e4b09863aae0dc965c3ef36500d891a3ff495a2ea9ae9171e4519963c12ceefd"}, + {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:adfbc22e87365a6e564c804c58fc44ff7727deea782d175c33602737b7feadb6"}, + {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:147ae376f14b55f4f3c2b118b95be50a369b89b38a971e80a17c3fd623f280c9"}, + {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:eafb3e874816ebe2a92f5e155f17260034c8c341dad1df25672fb710627c6949"}, + {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c6cc15d58053c76eacac5fa9152d7d84b8d67b3fde92709195cb984cfb3475ea"}, + {file = "aiohttp-3.8.4-cp310-cp310-win32.whl", hash = "sha256:59f029a5f6e2d679296db7bee982bb3d20c088e52a2977e3175faf31d6fb75d1"}, + {file = "aiohttp-3.8.4-cp310-cp310-win_amd64.whl", hash = "sha256:fe7ba4a51f33ab275515f66b0a236bcde4fb5561498fe8f898d4e549b2e4509f"}, + {file = "aiohttp-3.8.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3d8ef1a630519a26d6760bc695842579cb09e373c5f227a21b67dc3eb16cfea4"}, + {file = "aiohttp-3.8.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b3f2e06a512e94722886c0827bee9807c86a9f698fac6b3aee841fab49bbfb4"}, + {file = "aiohttp-3.8.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3a80464982d41b1fbfe3154e440ba4904b71c1a53e9cd584098cd41efdb188ef"}, + {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b631e26df63e52f7cce0cce6507b7a7f1bc9b0c501fcde69742130b32e8782f"}, + {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f43255086fe25e36fd5ed8f2ee47477408a73ef00e804cb2b5cba4bf2ac7f5e"}, + {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4d347a172f866cd1d93126d9b239fcbe682acb39b48ee0873c73c933dd23bd0f"}, + {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3fec6a4cb5551721cdd70473eb009d90935b4063acc5f40905d40ecfea23e05"}, + {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:80a37fe8f7c1e6ce8f2d9c411676e4bc633a8462844e38f46156d07a7d401654"}, + {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d1e6a862b76f34395a985b3cd39a0d949ca80a70b6ebdea37d3ab39ceea6698a"}, + {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cd468460eefef601ece4428d3cf4562459157c0f6523db89365202c31b6daebb"}, + {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:618c901dd3aad4ace71dfa0f5e82e88b46ef57e3239fc7027773cb6d4ed53531"}, + {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:652b1bff4f15f6287550b4670546a2947f2a4575b6c6dff7760eafb22eacbf0b"}, + {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80575ba9377c5171407a06d0196b2310b679dc752d02a1fcaa2bc20b235dbf24"}, + {file = "aiohttp-3.8.4-cp311-cp311-win32.whl", hash = "sha256:bbcf1a76cf6f6dacf2c7f4d2ebd411438c275faa1dc0c68e46eb84eebd05dd7d"}, + {file = "aiohttp-3.8.4-cp311-cp311-win_amd64.whl", hash = "sha256:6e74dd54f7239fcffe07913ff8b964e28b712f09846e20de78676ce2a3dc0bfc"}, + {file = "aiohttp-3.8.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:880e15bb6dad90549b43f796b391cfffd7af373f4646784795e20d92606b7a51"}, + {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb96fa6b56bb536c42d6a4a87dfca570ff8e52de2d63cabebfd6fb67049c34b6"}, + {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4a6cadebe132e90cefa77e45f2d2f1a4b2ce5c6b1bfc1656c1ddafcfe4ba8131"}, + {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f352b62b45dff37b55ddd7b9c0c8672c4dd2eb9c0f9c11d395075a84e2c40f75"}, + {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ab43061a0c81198d88f39aaf90dae9a7744620978f7ef3e3708339b8ed2ef01"}, + {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9cb1565a7ad52e096a6988e2ee0397f72fe056dadf75d17fa6b5aebaea05622"}, + {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:1b3ea7edd2d24538959c1c1abf97c744d879d4e541d38305f9bd7d9b10c9ec41"}, + {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:7c7837fe8037e96b6dd5cfcf47263c1620a9d332a87ec06a6ca4564e56bd0f36"}, + {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:3b90467ebc3d9fa5b0f9b6489dfb2c304a1db7b9946fa92aa76a831b9d587e99"}, + {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:cab9401de3ea52b4b4c6971db5fb5c999bd4260898af972bf23de1c6b5dd9d71"}, + {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d1f9282c5f2b5e241034a009779e7b2a1aa045f667ff521e7948ea9b56e0c5ff"}, + {file = "aiohttp-3.8.4-cp36-cp36m-win32.whl", hash = "sha256:5e14f25765a578a0a634d5f0cd1e2c3f53964553a00347998dfdf96b8137f777"}, + {file = "aiohttp-3.8.4-cp36-cp36m-win_amd64.whl", hash = "sha256:4c745b109057e7e5f1848c689ee4fb3a016c8d4d92da52b312f8a509f83aa05e"}, + {file = "aiohttp-3.8.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:aede4df4eeb926c8fa70de46c340a1bc2c6079e1c40ccf7b0eae1313ffd33519"}, + {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ddaae3f3d32fc2cb4c53fab020b69a05c8ab1f02e0e59665c6f7a0d3a5be54f"}, + {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4eb3b82ca349cf6fadcdc7abcc8b3a50ab74a62e9113ab7a8ebc268aad35bb9"}, + {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bcb89336efa095ea21b30f9e686763f2be4478f1b0a616969551982c4ee4c3b"}, + {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c08e8ed6fa3d477e501ec9db169bfac8140e830aa372d77e4a43084d8dd91ab"}, + {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c6cd05ea06daca6ad6a4ca3ba7fe7dc5b5de063ff4daec6170ec0f9979f6c332"}, + {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b7a00a9ed8d6e725b55ef98b1b35c88013245f35f68b1b12c5cd4100dddac333"}, + {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:de04b491d0e5007ee1b63a309956eaed959a49f5bb4e84b26c8f5d49de140fa9"}, + {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:40653609b3bf50611356e6b6554e3a331f6879fa7116f3959b20e3528783e699"}, + {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:dbf3a08a06b3f433013c143ebd72c15cac33d2914b8ea4bea7ac2c23578815d6"}, + {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854f422ac44af92bfe172d8e73229c270dc09b96535e8a548f99c84f82dde241"}, + {file = "aiohttp-3.8.4-cp37-cp37m-win32.whl", hash = "sha256:aeb29c84bb53a84b1a81c6c09d24cf33bb8432cc5c39979021cc0f98c1292a1a"}, + {file = "aiohttp-3.8.4-cp37-cp37m-win_amd64.whl", hash = "sha256:db3fc6120bce9f446d13b1b834ea5b15341ca9ff3f335e4a951a6ead31105480"}, + {file = "aiohttp-3.8.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:fabb87dd8850ef0f7fe2b366d44b77d7e6fa2ea87861ab3844da99291e81e60f"}, + {file = "aiohttp-3.8.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:91f6d540163f90bbaef9387e65f18f73ffd7c79f5225ac3d3f61df7b0d01ad15"}, + {file = "aiohttp-3.8.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d265f09a75a79a788237d7f9054f929ced2e69eb0bb79de3798c468d8a90f945"}, + {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d89efa095ca7d442a6d0cbc755f9e08190ba40069b235c9886a8763b03785da"}, + {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4dac314662f4e2aa5009977b652d9b8db7121b46c38f2073bfeed9f4049732cd"}, + {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fe11310ae1e4cd560035598c3f29d86cef39a83d244c7466f95c27ae04850f10"}, + {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ddb2a2026c3f6a68c3998a6c47ab6795e4127315d2e35a09997da21865757f8"}, + {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e75b89ac3bd27d2d043b234aa7b734c38ba1b0e43f07787130a0ecac1e12228a"}, + {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6e601588f2b502c93c30cd5a45bfc665faaf37bbe835b7cfd461753068232074"}, + {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a5d794d1ae64e7753e405ba58e08fcfa73e3fad93ef9b7e31112ef3c9a0efb52"}, + {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:a1f4689c9a1462f3df0a1f7e797791cd6b124ddbee2b570d34e7f38ade0e2c71"}, + {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:3032dcb1c35bc330134a5b8a5d4f68c1a87252dfc6e1262c65a7e30e62298275"}, + {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8189c56eb0ddbb95bfadb8f60ea1b22fcfa659396ea36f6adcc521213cd7b44d"}, + {file = "aiohttp-3.8.4-cp38-cp38-win32.whl", hash = "sha256:33587f26dcee66efb2fff3c177547bd0449ab7edf1b73a7f5dea1e38609a0c54"}, + {file = "aiohttp-3.8.4-cp38-cp38-win_amd64.whl", hash = "sha256:e595432ac259af2d4630008bf638873d69346372d38255774c0e286951e8b79f"}, + {file = "aiohttp-3.8.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5a7bdf9e57126dc345b683c3632e8ba317c31d2a41acd5800c10640387d193ed"}, + {file = "aiohttp-3.8.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:22f6eab15b6db242499a16de87939a342f5a950ad0abaf1532038e2ce7d31567"}, + {file = "aiohttp-3.8.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7235604476a76ef249bd64cb8274ed24ccf6995c4a8b51a237005ee7a57e8643"}, + {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea9eb976ffdd79d0e893869cfe179a8f60f152d42cb64622fca418cd9b18dc2a"}, + {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92c0cea74a2a81c4c76b62ea1cac163ecb20fb3ba3a75c909b9fa71b4ad493cf"}, + {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:493f5bc2f8307286b7799c6d899d388bbaa7dfa6c4caf4f97ef7521b9cb13719"}, + {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a63f03189a6fa7c900226e3ef5ba4d3bd047e18f445e69adbd65af433add5a2"}, + {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10c8cefcff98fd9168cdd86c4da8b84baaa90bf2da2269c6161984e6737bf23e"}, + {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bca5f24726e2919de94f047739d0a4fc01372801a3672708260546aa2601bf57"}, + {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:03baa76b730e4e15a45f81dfe29a8d910314143414e528737f8589ec60cf7391"}, + {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:8c29c77cc57e40f84acef9bfb904373a4e89a4e8b74e71aa8075c021ec9078c2"}, + {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:03543dcf98a6619254b409be2d22b51f21ec66272be4ebda7b04e6412e4b2e14"}, + {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:17b79c2963db82086229012cff93ea55196ed31f6493bb1ccd2c62f1724324e4"}, + {file = "aiohttp-3.8.4-cp39-cp39-win32.whl", hash = "sha256:34ce9f93a4a68d1272d26030655dd1b58ff727b3ed2a33d80ec433561b03d67a"}, + {file = "aiohttp-3.8.4-cp39-cp39-win_amd64.whl", hash = "sha256:41a86a69bb63bb2fc3dc9ad5ea9f10f1c9c8e282b471931be0268ddd09430b04"}, + {file = "aiohttp-3.8.4.tar.gz", hash = "sha256:bf2e1a9162c1e441bf805a1fd166e249d574ca04e03b34f97e2928769e91ab5c"}, +] + +[package.dependencies] +aiosignal = ">=1.1.2" +async-timeout = ">=4.0.0a3,<5.0" +attrs = ">=17.3.0" +charset-normalizer = ">=2.0,<4.0" +frozenlist = ">=1.1.1" +multidict = ">=4.5,<7.0" +yarl = ">=1.0,<2.0" + +[package.extras] +speedups = ["Brotli", "aiodns", "cchardet"] + +[[package]] +name = "aiosignal" +version = "1.3.1" +description = "aiosignal: a list of registered asynchronous callbacks" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"}, + {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"}, +] + +[package.dependencies] +frozenlist = ">=1.1.0" [[package]] name = "altair" -version = "4.2.0" +version = "4.2.2" description = "Altair: A declarative statistical visualization library for Python." -category = "dev" +category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "altair-4.2.2-py3-none-any.whl", hash = "sha256:8b45ebeaf8557f2d760c5c77b79f02ae12aee7c46c27c06014febab6f849bc87"}, + {file = "altair-4.2.2.tar.gz", hash = "sha256:39399a267c49b30d102c10411e67ab26374156a84b1aeb9fcd15140429ba49c5"}, +] [package.dependencies] entrypoints = "*" @@ -23,7 +169,7 @@ pandas = ">=0.18" toolz = "*" [package.extras] -dev = ["black", "docutils", "ipython", "flake8", "pytest", "sphinx", "mistune (<2.0.0)", "m2r", "vega-datasets", "recommonmark"] +dev = ["black", "docutils", "flake8", "ipython", "m2r", "mistune (<2.0.0)", "pytest", "recommonmark", "sphinx", "vega-datasets"] [[package]] name = "anyio" @@ -32,14 +178,18 @@ description = "High level compatibility layer for multiple asynchronous event lo category = "main" optional = false python-versions = ">=3.6.2" +files = [ + {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"}, + {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"}, +] [package.dependencies] idna = ">=2.8" sniffio = ">=1.1" [package.extras] -doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] -test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] +doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"] trio = ["trio (>=0.16,<0.22)"] [[package]] @@ -49,6 +199,10 @@ description = "A small Python module for determining appropriate platform-specif category = "main" optional = false python-versions = "*" +files = [ + {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"}, + {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"}, +] [[package]] name = "appnope" @@ -57,6 +211,10 @@ description = "Disable App Nap on macOS >= 10.9" category = "main" optional = false python-versions = "*" +files = [ + {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, + {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, +] [[package]] name = "argon2-cffi" @@ -65,13 +223,17 @@ description = "The secure Argon2 password hashing algorithm." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "argon2-cffi-21.3.0.tar.gz", hash = "sha256:d384164d944190a7dd7ef22c6aa3ff197da12962bd04b17f64d4e93d934dba5b"}, + {file = "argon2_cffi-21.3.0-py3-none-any.whl", hash = "sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80"}, +] [package.dependencies] argon2-cffi-bindings = "*" [package.extras] -dev = ["pre-commit", "cogapp", "tomli", "coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "sphinx-notfound-page", "furo"] -docs = ["sphinx", "sphinx-notfound-page", "furo"] +dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"] +docs = ["furo", "sphinx", "sphinx-notfound-page"] tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"] [[package]] @@ -81,27 +243,69 @@ description = "Low-level CFFI bindings for Argon2" category = "main" 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 = ["pytest", "cogapp", "pre-commit", "wheel"] +dev = ["cogapp", "pre-commit", "pytest", "wheel"] tests = ["pytest"] +[[package]] +name = "arrow" +version = "1.2.3" +description = "Better dates & times for Python" +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"}, + {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"}, +] + +[package.dependencies] +python-dateutil = ">=2.7.0" + [[package]] name = "asttokens" -version = "2.0.8" +version = "2.2.1" description = "Annotate AST trees with source code positions" category = "main" optional = false python-versions = "*" +files = [ + {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"}, + {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"}, +] [package.dependencies] six = "*" [package.extras] -test = ["astroid (<=2.5.3)", "pytest"] +test = ["astroid", "pytest"] [[package]] name = "astunparse" @@ -110,23 +314,45 @@ description = "An AST unparser for Python" category = "main" optional = false python-versions = "*" +files = [ + {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"}, + {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"}, +] [package.dependencies] six = ">=1.6.1,<2.0" +wheel = ">=0.23.0,<1.0" + +[[package]] +name = "async-timeout" +version = "4.0.2" +description = "Timeout context manager for asyncio programs" +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"}, + {file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"}, +] [[package]] name = "attrs" -version = "22.1.0" +version = "22.2.0" description = "Classes Without Boilerplate" category = "main" optional = false -python-versions = ">=3.5" +python-versions = ">=3.6" +files = [ + {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"}, + {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"}, +] [package.extras] -dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"] -docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"] -tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] -tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"] +cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"] +dev = ["attrs[docs,tests]"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"] +tests = ["attrs[tests-no-zope]", "zope.interface"] +tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"] [[package]] name = "backcall" @@ -135,6 +361,10 @@ description = "Specifications for callback functions passed in to an API" category = "main" optional = false python-versions = "*" +files = [ + {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"}, + {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"}, +] [[package]] name = "backports.zoneinfo" @@ -143,17 +373,39 @@ description = "Backport of the standard library zoneinfo module" category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"}, + {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"}, + {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:1c5742112073a563c81f786e77514969acb58649bcdf6cdf0b4ed31a348d4546"}, + {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win32.whl", hash = "sha256:e8236383a20872c0cdf5a62b554b27538db7fa1bbec52429d8d106effbaeca08"}, + {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win_amd64.whl", hash = "sha256:8439c030a11780786a2002261569bdf362264f605dfa4d65090b64b05c9f79a7"}, + {file = "backports.zoneinfo-0.2.1-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:f04e857b59d9d1ccc39ce2da1021d196e47234873820cbeaad210724b1ee28ac"}, + {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:17746bd546106fa389c51dbea67c8b7c8f0d14b5526a579ca6ccf5ed72c526cf"}, + {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:5c144945a7752ca544b4b78c8c41544cdfaf9786f25fe5ffb10e838e19a27570"}, + {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win32.whl", hash = "sha256:e55b384612d93be96506932a786bbcde5a2db7a9e6a4bb4bffe8b733f5b9036b"}, + {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:a76b38c52400b762e48131494ba26be363491ac4f9a04c1b7e92483d169f6582"}, + {file = "backports.zoneinfo-0.2.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:8961c0f32cd0336fb8e8ead11a1f8cd99ec07145ec2931122faaac1c8f7fd987"}, + {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e81b76cace8eda1fca50e345242ba977f9be6ae3945af8d46326d776b4cf78d1"}, + {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7b0a64cda4145548fed9efc10322770f929b944ce5cee6c0dfe0c87bf4c0c8c9"}, + {file = "backports.zoneinfo-0.2.1-cp38-cp38-win32.whl", hash = "sha256:1b13e654a55cd45672cb54ed12148cd33628f672548f373963b0bff67b217328"}, + {file = "backports.zoneinfo-0.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:4a0f800587060bf8880f954dbef70de6c11bbe59c673c3d818921f042f9954a6"}, + {file = "backports.zoneinfo-0.2.1.tar.gz", hash = "sha256:fadbfe37f74051d024037f223b8e001611eac868b5c5b06144ef4d8b799862f2"}, +] [package.extras] tzdata = ["tzdata"] [[package]] name = "beautifulsoup4" -version = "4.11.1" +version = "4.11.2" description = "Screen-scraping library" category = "main" optional = false python-versions = ">=3.6.0" +files = [ + {file = "beautifulsoup4-4.11.2-py3-none-any.whl", hash = "sha256:0e79446b10b3ecb499c1556f7e228a53e64a2bfcebd455f370d8927cb5b59e39"}, + {file = "beautifulsoup4-4.11.2.tar.gz", hash = "sha256:bc4bdda6717de5a2987436fb8d72f45dc90dd856bdfd512a1314ce90349a0106"}, +] [package.dependencies] soupsieve = ">1.2" @@ -164,11 +416,15 @@ lxml = ["lxml"] [[package]] name = "bleach" -version = "5.0.1" +version = "6.0.0" description = "An easy safelist-based HTML-sanitizing tool." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "bleach-6.0.0-py3-none-any.whl", hash = "sha256:33c16e3353dbd13028ab4799a0f89a83f113405c766e9c122df8a06f5b85b3f4"}, + {file = "bleach-6.0.0.tar.gz", hash = "sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414"}, +] [package.dependencies] six = ">=1.9.0" @@ -176,7 +432,6 @@ webencodings = "*" [package.extras] css = ["tinycss2 (>=1.1.0,<1.2)"] -dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)", "black (==22.3.0)", "mypy (==0.961)"] [[package]] name = "blinker" @@ -185,22 +440,34 @@ description = "Fast, simple object-to-object and broadcast signaling" category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "blinker-1.5-py2.py3-none-any.whl", hash = "sha256:1eb563df6fdbc39eeddc177d953203f99f097e9bf0e2b8f9f3cf18b6ca425e36"}, + {file = "blinker-1.5.tar.gz", hash = "sha256:923e5e2f69c155f2cc42dafbbd70e16e3fde24d2d4aa2ab72fbe386238892462"}, +] [[package]] name = "cachetools" -version = "5.2.0" +version = "5.3.0" description = "Extensible memoizing collections and decorators" category = "main" optional = false python-versions = "~=3.7" +files = [ + {file = "cachetools-5.3.0-py3-none-any.whl", hash = "sha256:429e1a1e845c008ea6c85aa35d4b98b65d6a9763eeef3e37e92728a12d1de9d4"}, + {file = "cachetools-5.3.0.tar.gz", hash = "sha256:13dfddc7b8df938c21a940dfa6557ce6e94a2f1cdfa58eb90c805721d58f2c14"}, +] [[package]] name = "certifi" -version = "2022.9.24" +version = "2022.12.7" description = "Python package for providing Mozilla's CA Bundle." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"}, + {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"}, +] [[package]] name = "cffi" @@ -209,28 +476,185 @@ description = "Foreign Function Interface for Python calling C code." category = "main" optional = false python-versions = "*" +files = [ + {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"}, + {file = "cffi-1.15.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2"}, + {file = "cffi-1.15.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:9ad5db27f9cabae298d151c85cf2bad1d359a1b9c686a275df03385758e2f914"}, + {file = "cffi-1.15.1-cp27-cp27m-win32.whl", hash = "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3"}, + {file = "cffi-1.15.1-cp27-cp27m-win_amd64.whl", hash = "sha256:e00b098126fd45523dd056d2efba6c5a63b71ffe9f2bbe1a4fe1716e1d0c331e"}, + {file = "cffi-1.15.1-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:d61f4695e6c866a23a21acab0509af1cdfd2c013cf256bbf5b6b5e2695827162"}, + {file = "cffi-1.15.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:ed9cb427ba5504c1dc15ede7d516b84757c3e3d7868ccc85121d9310d27eed0b"}, + {file = "cffi-1.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d39875251ca8f612b6f33e6b1195af86d1b3e60086068be9cc053aa4376e21"}, + {file = "cffi-1.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:285d29981935eb726a4399badae8f0ffdff4f5050eaa6d0cfc3f64b857b77185"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3eb6971dcff08619f8d91607cfc726518b6fa2a9eba42856be181c6d0d9515fd"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:21157295583fe8943475029ed5abdcf71eb3911894724e360acff1d61c1d54bc"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5635bd9cb9731e6d4a1132a498dd34f764034a8ce60cef4f5319c0541159392f"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2012c72d854c2d03e45d06ae57f40d78e5770d252f195b93f581acf3ba44496e"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd86c085fae2efd48ac91dd7ccffcfc0571387fe1193d33b6394db7ef31fe2a4"}, + {file = "cffi-1.15.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:fa6693661a4c91757f4412306191b6dc88c1703f780c8234035eac011922bc01"}, + {file = "cffi-1.15.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59c0b02d0a6c384d453fece7566d1c7e6b7bae4fc5874ef2ef46d56776d61c9e"}, + {file = "cffi-1.15.1-cp310-cp310-win32.whl", hash = "sha256:cba9d6b9a7d64d4bd46167096fc9d2f835e25d7e4c121fb2ddfc6528fb0413b2"}, + {file = "cffi-1.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:ce4bcc037df4fc5e3d184794f27bdaab018943698f4ca31630bc7f84a7b69c6d"}, + {file = "cffi-1.15.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3d08afd128ddaa624a48cf2b859afef385b720bb4b43df214f85616922e6a5ac"}, + {file = "cffi-1.15.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3799aecf2e17cf585d977b780ce79ff0dc9b78d799fc694221ce814c2c19db83"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a591fe9e525846e4d154205572a029f653ada1a78b93697f3b5a8f1f2bc055b9"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3548db281cd7d2561c9ad9984681c95f7b0e38881201e157833a2342c30d5e8c"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91fc98adde3d7881af9b59ed0294046f3806221863722ba7d8d120c575314325"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94411f22c3985acaec6f83c6df553f2dbe17b698cc7f8ae751ff2237d96b9e3c"}, + {file = "cffi-1.15.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:03425bdae262c76aad70202debd780501fabeaca237cdfddc008987c0e0f59ef"}, + {file = "cffi-1.15.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:cc4d65aeeaa04136a12677d3dd0b1c0c94dc43abac5860ab33cceb42b801c1e8"}, + {file = "cffi-1.15.1-cp311-cp311-win32.whl", hash = "sha256:a0f100c8912c114ff53e1202d0078b425bee3649ae34d7b070e9697f93c5d52d"}, + {file = "cffi-1.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:04ed324bda3cda42b9b695d51bb7d54b680b9719cfab04227cdd1e04e5de3104"}, + {file = "cffi-1.15.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50a74364d85fd319352182ef59c5c790484a336f6db772c1a9231f1c3ed0cbd7"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e263d77ee3dd201c3a142934a086a4450861778baaeeb45db4591ef65550b0a6"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cec7d9412a9102bdc577382c3929b337320c4c4c4849f2c5cdd14d7368c5562d"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4289fc34b2f5316fbb762d75362931e351941fa95fa18789191b33fc4cf9504a"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:173379135477dc8cac4bc58f45db08ab45d228b3363adb7af79436135d028405"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6975a3fac6bc83c4a65c9f9fcab9e47019a11d3d2cf7f3c0d03431bf145a941e"}, + {file = "cffi-1.15.1-cp36-cp36m-win32.whl", hash = "sha256:2470043b93ff09bf8fb1d46d1cb756ce6132c54826661a32d4e4d132e1977adf"}, + {file = "cffi-1.15.1-cp36-cp36m-win_amd64.whl", hash = "sha256:30d78fbc8ebf9c92c9b7823ee18eb92f2e6ef79b45ac84db507f52fbe3ec4497"}, + {file = "cffi-1.15.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:198caafb44239b60e252492445da556afafc7d1e3ab7a1fb3f0584ef6d742375"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5ef34d190326c3b1f822a5b7a45f6c4535e2f47ed06fec77d3d799c450b2651e"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8102eaf27e1e448db915d08afa8b41d6c7ca7a04b7d73af6514df10a3e74bd82"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5df2768244d19ab7f60546d0c7c63ce1581f7af8b5de3eb3004b9b6fc8a9f84b"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8c4917bd7ad33e8eb21e9a5bbba979b49d9a97acb3a803092cbc1133e20343c"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e2642fe3142e4cc4af0799748233ad6da94c62a8bec3a6648bf8ee68b1c7426"}, + {file = "cffi-1.15.1-cp37-cp37m-win32.whl", hash = "sha256:e229a521186c75c8ad9490854fd8bbdd9a0c9aa3a524326b55be83b54d4e0ad9"}, + {file = "cffi-1.15.1-cp37-cp37m-win_amd64.whl", hash = "sha256:a0b71b1b8fbf2b96e41c4d990244165e2c9be83d54962a9a1d118fd8657d2045"}, + {file = "cffi-1.15.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:320dab6e7cb2eacdf0e658569d2575c4dad258c0fcc794f46215e1e39f90f2c3"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1e74c6b51a9ed6589199c787bf5f9875612ca4a8a0785fb2d4a84429badaf22a"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5c84c68147988265e60416b57fc83425a78058853509c1b0629c180094904a5"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3b926aa83d1edb5aa5b427b4053dc420ec295a08e40911296b9eb1b6170f6cca"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:87c450779d0914f2861b8526e035c5e6da0a3199d8f1add1a665e1cbc6fc6d02"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f2c9f67e9821cad2e5f480bc8d83b8742896f1242dba247911072d4fa94c192"}, + {file = "cffi-1.15.1-cp38-cp38-win32.whl", hash = "sha256:8b7ee99e510d7b66cdb6c593f21c043c248537a32e0bedf02e01e9553a172314"}, + {file = "cffi-1.15.1-cp38-cp38-win_amd64.whl", hash = "sha256:00a9ed42e88df81ffae7a8ab6d9356b371399b91dbdf0c3cb1e84c03a13aceb5"}, + {file = "cffi-1.15.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:54a2db7b78338edd780e7ef7f9f6c442500fb0d41a5a4ea24fff1c929d5af585"}, + {file = "cffi-1.15.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fcd131dd944808b5bdb38e6f5b53013c5aa4f334c5cad0c72742f6eba4b73db0"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7473e861101c9e72452f9bf8acb984947aa1661a7704553a9f6e4baa5ba64415"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c9a799e985904922a4d207a94eae35c78ebae90e128f0c4e521ce339396be9d"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3bcde07039e586f91b45c88f8583ea7cf7a0770df3a1649627bf598332cb6984"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33ab79603146aace82c2427da5ca6e58f2b3f2fb5da893ceac0c42218a40be35"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d598b938678ebf3c67377cdd45e09d431369c3b1a5b331058c338e201f12b27"}, + {file = "cffi-1.15.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db0fbb9c62743ce59a9ff687eb5f4afbe77e5e8403d6697f7446e5f609976f76"}, + {file = "cffi-1.15.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:98d85c6a2bef81588d9227dde12db8a7f47f639f4a17c9ae08e773aa9c697bf3"}, + {file = "cffi-1.15.1-cp39-cp39-win32.whl", hash = "sha256:40f4774f5a9d4f5e344f31a32b5096977b5d48560c5592e2f3d2c4374bd543ee"}, + {file = "cffi-1.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:70df4e3b545a17496c9b3f41f5115e69a4f2e77e94e1d2a8e1070bc0c38c8a3c"}, + {file = "cffi-1.15.1.tar.gz", hash = "sha256:d400bfb9a37b1351253cb402671cea7e89bdecc294e8016a707f6d1d8ac934f9"}, +] [package.dependencies] pycparser = "*" [[package]] name = "chardet" -version = "5.0.0" +version = "5.1.0" description = "Universal encoding detector for Python 3" category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" +files = [ + {file = "chardet-5.1.0-py3-none-any.whl", hash = "sha256:362777fb014af596ad31334fde1e8c327dfdb076e1960d1694662d46a6917ab9"}, + {file = "chardet-5.1.0.tar.gz", hash = "sha256:0d62712b956bc154f85fb0a266e2a3c5913c2967e00348701b32411d6def31e5"}, +] [[package]] name = "charset-normalizer" -version = "2.1.1" +version = "3.0.1" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." category = "main" optional = false -python-versions = ">=3.6.0" - -[package.extras] -unicode_backport = ["unicodedata2"] +python-versions = "*" +files = [ + {file = "charset-normalizer-3.0.1.tar.gz", hash = "sha256:ebea339af930f8ca5d7a699b921106c6e29c617fe9606fa7baa043c1cdae326f"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88600c72ef7587fe1708fd242b385b6ed4b8904976d5da0893e31df8b3480cb6"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c75ffc45f25324e68ab238cb4b5c0a38cd1c3d7f1fb1f72b5541de469e2247db"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db72b07027db150f468fbada4d85b3b2729a3db39178abf5c543b784c1254539"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62595ab75873d50d57323a91dd03e6966eb79c41fa834b7a1661ed043b2d404d"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ff6f3db31555657f3163b15a6b7c6938d08df7adbfc9dd13d9d19edad678f1e8"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:772b87914ff1152b92a197ef4ea40efe27a378606c39446ded52c8f80f79702e"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70990b9c51340e4044cfc394a81f614f3f90d41397104d226f21e66de668730d"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:292d5e8ba896bbfd6334b096e34bffb56161c81408d6d036a7dfa6929cff8783"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:2edb64ee7bf1ed524a1da60cdcd2e1f6e2b4f66ef7c077680739f1641f62f555"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:31a9ddf4718d10ae04d9b18801bd776693487cbb57d74cc3458a7673f6f34639"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:44ba614de5361b3e5278e1241fda3dc1838deed864b50a10d7ce92983797fa76"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:12db3b2c533c23ab812c2b25934f60383361f8a376ae272665f8e48b88e8e1c6"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c512accbd6ff0270939b9ac214b84fb5ada5f0409c44298361b2f5e13f9aed9e"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-win32.whl", hash = "sha256:502218f52498a36d6bf5ea77081844017bf7982cdbe521ad85e64cabee1b608b"}, + {file = "charset_normalizer-3.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:601f36512f9e28f029d9481bdaf8e89e5148ac5d89cffd3b05cd533eeb423b59"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0298eafff88c99982a4cf66ba2efa1128e4ddaca0b05eec4c456bbc7db691d8d"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a8d0fc946c784ff7f7c3742310cc8a57c5c6dc31631269876a88b809dbeff3d3"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:87701167f2a5c930b403e9756fab1d31d4d4da52856143b609e30a1ce7160f3c"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14e76c0f23218b8f46c4d87018ca2e441535aed3632ca134b10239dfb6dadd6b"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0c0a590235ccd933d9892c627dec5bc7511ce6ad6c1011fdf5b11363022746c1"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8c7fe7afa480e3e82eed58e0ca89f751cd14d767638e2550c77a92a9e749c317"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:79909e27e8e4fcc9db4addea88aa63f6423ebb171db091fb4373e3312cb6d603"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ac7b6a045b814cf0c47f3623d21ebd88b3e8cf216a14790b455ea7ff0135d18"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:72966d1b297c741541ca8cf1223ff262a6febe52481af742036a0b296e35fa5a"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:f9d0c5c045a3ca9bedfc35dca8526798eb91a07aa7a2c0fee134c6c6f321cbd7"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:5995f0164fa7df59db4746112fec3f49c461dd6b31b841873443bdb077c13cfc"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4a8fcf28c05c1f6d7e177a9a46a1c52798bfe2ad80681d275b10dcf317deaf0b"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:761e8904c07ad053d285670f36dd94e1b6ab7f16ce62b9805c475b7aa1cffde6"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-win32.whl", hash = "sha256:71140351489970dfe5e60fc621ada3e0f41104a5eddaca47a7acb3c1b851d6d3"}, + {file = "charset_normalizer-3.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:9ab77acb98eba3fd2a85cd160851816bfce6871d944d885febf012713f06659c"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:84c3990934bae40ea69a82034912ffe5a62c60bbf6ec5bc9691419641d7d5c9a"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74292fc76c905c0ef095fe11e188a32ebd03bc38f3f3e9bcb85e4e6db177b7ea"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c95a03c79bbe30eec3ec2b7f076074f4281526724c8685a42872974ef4d36b72"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4c39b0e3eac288fedc2b43055cfc2ca7a60362d0e5e87a637beac5d801ef478"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df2c707231459e8a4028eabcd3cfc827befd635b3ef72eada84ab13b52e1574d"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:93ad6d87ac18e2a90b0fe89df7c65263b9a99a0eb98f0a3d2e079f12a0735837"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:59e5686dd847347e55dffcc191a96622f016bc0ad89105e24c14e0d6305acbc6"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:cd6056167405314a4dc3c173943f11249fa0f1b204f8b51ed4bde1a9cd1834dc"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:083c8d17153ecb403e5e1eb76a7ef4babfc2c48d58899c98fcaa04833e7a2f9a"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:f5057856d21e7586765171eac8b9fc3f7d44ef39425f85dbcccb13b3ebea806c"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:7eb33a30d75562222b64f569c642ff3dc6689e09adda43a082208397f016c39a"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-win32.whl", hash = "sha256:95dea361dd73757c6f1c0a1480ac499952c16ac83f7f5f4f84f0658a01b8ef41"}, + {file = "charset_normalizer-3.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:eaa379fcd227ca235d04152ca6704c7cb55564116f8bc52545ff357628e10602"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3e45867f1f2ab0711d60c6c71746ac53537f1684baa699f4f668d4c6f6ce8e14"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cadaeaba78750d58d3cc6ac4d1fd867da6fc73c88156b7a3212a3cd4819d679d"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:911d8a40b2bef5b8bbae2e36a0b103f142ac53557ab421dc16ac4aafee6f53dc"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:503e65837c71b875ecdd733877d852adbc465bd82c768a067badd953bf1bc5a3"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a60332922359f920193b1d4826953c507a877b523b2395ad7bc716ddd386d866"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:16a8663d6e281208d78806dbe14ee9903715361cf81f6d4309944e4d1e59ac5b"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:a16418ecf1329f71df119e8a65f3aa68004a3f9383821edcb20f0702934d8087"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:9d9153257a3f70d5f69edf2325357251ed20f772b12e593f3b3377b5f78e7ef8"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:02a51034802cbf38db3f89c66fb5d2ec57e6fe7ef2f4a44d070a593c3688667b"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:2e396d70bc4ef5325b72b593a72c8979999aa52fb8bcf03f701c1b03e1166918"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:11b53acf2411c3b09e6af37e4b9005cba376c872503c8f28218c7243582df45d"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-win32.whl", hash = "sha256:0bf2dae5291758b6f84cf923bfaa285632816007db0330002fa1de38bfcb7154"}, + {file = "charset_normalizer-3.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:2c03cc56021a4bd59be889c2b9257dae13bf55041a3372d3295416f86b295fb5"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:024e606be3ed92216e2b6952ed859d86b4cfa52cd5bc5f050e7dc28f9b43ec42"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:4b0d02d7102dd0f997580b51edc4cebcf2ab6397a7edf89f1c73b586c614272c"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:358a7c4cb8ba9b46c453b1dd8d9e431452d5249072e4f56cfda3149f6ab1405e"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81d6741ab457d14fdedc215516665050f3822d3e56508921cc7239f8c8e66a58"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8b8af03d2e37866d023ad0ddea594edefc31e827fee64f8de5611a1dbc373174"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9cf4e8ad252f7c38dd1f676b46514f92dc0ebeb0db5552f5f403509705e24753"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e696f0dd336161fca9adbb846875d40752e6eba585843c768935ba5c9960722b"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c22d3fe05ce11d3671297dc8973267daa0f938b93ec716e12e0f6dee81591dc1"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:109487860ef6a328f3eec66f2bf78b0b72400280d8f8ea05f69c51644ba6521a"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:37f8febc8ec50c14f3ec9637505f28e58d4f66752207ea177c1d67df25da5aed"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:f97e83fa6c25693c7a35de154681fcc257c1c41b38beb0304b9c4d2d9e164479"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a152f5f33d64a6be73f1d30c9cc82dfc73cec6477ec268e7c6e4c7d23c2d2291"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:39049da0ffb96c8cbb65cbf5c5f3ca3168990adf3551bd1dee10c48fce8ae820"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-win32.whl", hash = "sha256:4457ea6774b5611f4bed5eaa5df55f70abde42364d498c5134b7ef4c6958e20e"}, + {file = "charset_normalizer-3.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:e62164b50f84e20601c1ff8eb55620d2ad25fb81b59e3cd776a1902527a788af"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8eade758719add78ec36dc13201483f8e9b5d940329285edcd5f70c0a9edbd7f"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8499ca8f4502af841f68135133d8258f7b32a53a1d594aa98cc52013fff55678"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3fc1c4a2ffd64890aebdb3f97e1278b0cc72579a08ca4de8cd2c04799a3a22be"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00d3ffdaafe92a5dc603cb9bd5111aaa36dfa187c8285c543be562e61b755f6b"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c2ac1b08635a8cd4e0cbeaf6f5e922085908d48eb05d44c5ae9eabab148512ca"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f6f45710b4459401609ebebdbcfb34515da4fc2aa886f95107f556ac69a9147e"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ae1de54a77dc0d6d5fcf623290af4266412a7c4be0b1ff7444394f03f5c54e3"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b590df687e3c5ee0deef9fc8c547d81986d9a1b56073d82de008744452d6541"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab5de034a886f616a5668aa5d098af2b5385ed70142090e2a31bcbd0af0fdb3d"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9cb3032517f1627cc012dbc80a8ec976ae76d93ea2b5feaa9d2a5b8882597579"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:608862a7bf6957f2333fc54ab4399e405baad0163dc9f8d99cb236816db169d4"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:0f438ae3532723fb6ead77e7c604be7c8374094ef4ee2c5e03a3a17f1fca256c"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:356541bf4381fa35856dafa6a965916e54bed415ad8a24ee6de6e37deccf2786"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-win32.whl", hash = "sha256:39cf9ed17fe3b1bc81f33c9ceb6ce67683ee7526e65fde1447c772afc54a1bb8"}, + {file = "charset_normalizer-3.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:0a11e971ed097d24c534c037d298ad32c6ce81a45736d31e0ff0ad37ab437d59"}, + {file = "charset_normalizer-3.0.1-py3-none-any.whl", hash = "sha256:7e189e2e1d3ed2f4aebabd2d5b0f931e883676e51c7624826e0a4e5fe8a0bf24"}, +] [[package]] name = "click" @@ -239,46 +663,148 @@ description = "Composable command line interface toolkit" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"}, + {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"}, +] [package.dependencies] colorama = {version = "*", markers = "platform_system == \"Windows\""} +[[package]] +name = "cmake" +version = "3.25.2" +description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "cmake-3.25.2-py2.py3-none-macosx_10_10_universal2.macosx_10_10_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl", hash = "sha256:962224cfb988ce9c9f3223de9cea68cd3a9d7c0f251866aee5db4620bed2ef73"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:42053bbaf7f77a13f713acd2cc6d724a2899b00a8f6042c0c80c9581f1ad9fde"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a6d849fd0316a0bfa29b44752de8f30ea798771fea6a06d9f1cc5799910f10bf"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c94571e1225e54e9444f8e8c47987932194fa4ab45ce96dc4de4fe5dfcc89afa"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:715ef82e81b48db3e4c7744614c15ff361d53f6987fd70b1b66b0880595f2e2c"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:679900ad25bfbb83fc5f7ed8885711d68e334bcde51011f237520b4268b4d900"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a550a4d16d89fd78e48bacb97eea906486625fe8a8eac8d4607ccfd89a00372a"}, + {file = "cmake-3.25.2-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9587645cea5298d5eb20649f58a83cc53c9efa7d57b0716449a39f366a74986"}, + {file = "cmake-3.25.2-py2.py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:27462531ffcd213397012cce341a7ff2b647d4f57a153a23f1a054805384ca05"}, + {file = "cmake-3.25.2-py2.py3-none-musllinux_1_1_i686.whl", hash = "sha256:3bab3f5a60bd5843b07b83df97368983c59e2ab6b09ab08a80e608e9a37a6a09"}, + {file = "cmake-3.25.2-py2.py3-none-musllinux_1_1_ppc64le.whl", hash = "sha256:faf8eb7e38a3167c1d502f6b6355717b645400f9c48947e9aab992f52d52df68"}, + {file = "cmake-3.25.2-py2.py3-none-musllinux_1_1_s390x.whl", hash = "sha256:ef3b68c6096388fd4b139a6e4da5dd25e8fe8786b980375fe70914b81bac7f77"}, + {file = "cmake-3.25.2-py2.py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:48d9a496eb1b1da375b98753009f3c69a59a207e61ecdb13d2bf06e33491dad3"}, + {file = "cmake-3.25.2-py2.py3-none-win32.whl", hash = "sha256:36407f07f6241258fbe05c937304f52a9a8291fcc8e709c2fa1970632dc27aa3"}, + {file = "cmake-3.25.2-py2.py3-none-win_amd64.whl", hash = "sha256:e77f856b09f3246d22e4c99458678f0e3d094a73903643bbc422fbc92b77e574"}, + {file = "cmake-3.25.2-py2.py3-none-win_arm64.whl", hash = "sha256:814800cf5a1f5a32cb7af659f830e8f810692929bdf5c9a30e5c263b3d16af7c"}, + {file = "cmake-3.25.2.tar.gz", hash = "sha256:bcf9f0369743278ec26961542b31ed1610e6f4cfc20c00a3f1c61985abb3b0d2"}, +] + +[package.extras] +test = ["codecov (>=2.0.5)", "coverage (>=4.2)", "flake8 (>=3.0.4)", "path.py (>=11.5.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)", "pytest-runner (>=2.9)", "pytest-virtualenv (>=1.7.0)", "scikit-build (>=0.10.0)", "setuptools (>=28.0.0)", "virtualenv (>=15.0.3)", "wheel (<0.38)"] + [[package]] name = "colorama" -version = "0.4.5" +version = "0.4.6" description = "Cross-platform colored terminal text." category = "main" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +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 = "commonmark" -version = "0.9.1" -description = "Python parser for the CommonMark Markdown spec" -category = "dev" +name = "comm" +version = "0.1.2" +description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." +category = "main" optional = false -python-versions = "*" +python-versions = ">=3.6" +files = [ + {file = "comm-0.1.2-py3-none-any.whl", hash = "sha256:9f3abf3515112fa7c55a42a6a5ab358735c9dccc8b5910a9d8e3ef5998130666"}, + {file = "comm-0.1.2.tar.gz", hash = "sha256:3e2f5826578e683999b93716285b3b1f344f157bf75fa9ce0a797564e742f062"}, +] + +[package.dependencies] +traitlets = ">=5.3" [package.extras] -test = ["hypothesis (==3.55.3)", "flake8 (==3.7.8)"] +test = ["pytest"] [[package]] name = "contourpy" -version = "1.0.5" +version = "1.0.7" description = "Python library for calculating contours of 2D quadrilateral grids" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +files = [ + {file = "contourpy-1.0.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:95c3acddf921944f241b6773b767f1cbce71d03307270e2d769fd584d5d1092d"}, + {file = "contourpy-1.0.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fc1464c97579da9f3ab16763c32e5c5d5bb5fa1ec7ce509a4ca6108b61b84fab"}, + {file = "contourpy-1.0.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8acf74b5d383414401926c1598ed77825cd530ac7b463ebc2e4f46638f56cce6"}, + {file = "contourpy-1.0.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c71fdd8f1c0f84ffd58fca37d00ca4ebaa9e502fb49825484da075ac0b0b803"}, + {file = "contourpy-1.0.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f99e9486bf1bb979d95d5cffed40689cb595abb2b841f2991fc894b3452290e8"}, + {file = "contourpy-1.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87f4d8941a9564cda3f7fa6a6cd9b32ec575830780677932abdec7bcb61717b0"}, + {file = "contourpy-1.0.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9e20e5a1908e18aaa60d9077a6d8753090e3f85ca25da6e25d30dc0a9e84c2c6"}, + {file = "contourpy-1.0.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a877ada905f7d69b2a31796c4b66e31a8068b37aa9b78832d41c82fc3e056ddd"}, + {file = "contourpy-1.0.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6381fa66866b0ea35e15d197fc06ac3840a9b2643a6475c8fff267db8b9f1e69"}, + {file = "contourpy-1.0.7-cp310-cp310-win32.whl", hash = "sha256:3c184ad2433635f216645fdf0493011a4667e8d46b34082f5a3de702b6ec42e3"}, + {file = "contourpy-1.0.7-cp310-cp310-win_amd64.whl", hash = "sha256:3caea6365b13119626ee996711ab63e0c9d7496f65641f4459c60a009a1f3e80"}, + {file = "contourpy-1.0.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ed33433fc3820263a6368e532f19ddb4c5990855e4886088ad84fd7c4e561c71"}, + {file = "contourpy-1.0.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:38e2e577f0f092b8e6774459317c05a69935a1755ecfb621c0a98f0e3c09c9a5"}, + {file = "contourpy-1.0.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ae90d5a8590e5310c32a7630b4b8618cef7563cebf649011da80874d0aa8f414"}, + {file = "contourpy-1.0.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:130230b7e49825c98edf0b428b7aa1125503d91732735ef897786fe5452b1ec2"}, + {file = "contourpy-1.0.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58569c491e7f7e874f11519ef46737cea1d6eda1b514e4eb5ac7dab6aa864d02"}, + {file = "contourpy-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54d43960d809c4c12508a60b66cb936e7ed57d51fb5e30b513934a4a23874fae"}, + {file = "contourpy-1.0.7-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:152fd8f730c31fd67fe0ffebe1df38ab6a669403da93df218801a893645c6ccc"}, + {file = "contourpy-1.0.7-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:9056c5310eb1daa33fc234ef39ebfb8c8e2533f088bbf0bc7350f70a29bde1ac"}, + {file = "contourpy-1.0.7-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a9d7587d2fdc820cc9177139b56795c39fb8560f540bba9ceea215f1f66e1566"}, + {file = "contourpy-1.0.7-cp311-cp311-win32.whl", hash = "sha256:4ee3ee247f795a69e53cd91d927146fb16c4e803c7ac86c84104940c7d2cabf0"}, + {file = "contourpy-1.0.7-cp311-cp311-win_amd64.whl", hash = "sha256:5caeacc68642e5f19d707471890f037a13007feba8427eb7f2a60811a1fc1350"}, + {file = "contourpy-1.0.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:fd7dc0e6812b799a34f6d12fcb1000539098c249c8da54f3566c6a6461d0dbad"}, + {file = "contourpy-1.0.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0f9d350b639db6c2c233d92c7f213d94d2e444d8e8fc5ca44c9706cf72193772"}, + {file = "contourpy-1.0.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e96a08b62bb8de960d3a6afbc5ed8421bf1a2d9c85cc4ea73f4bc81b4910500f"}, + {file = "contourpy-1.0.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:031154ed61f7328ad7f97662e48660a150ef84ee1bc8876b6472af88bf5a9b98"}, + {file = "contourpy-1.0.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e9ebb4425fc1b658e13bace354c48a933b842d53c458f02c86f371cecbedecc"}, + {file = "contourpy-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efb8f6d08ca7998cf59eaf50c9d60717f29a1a0a09caa46460d33b2924839dbd"}, + {file = "contourpy-1.0.7-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6c180d89a28787e4b73b07e9b0e2dac7741261dbdca95f2b489c4f8f887dd810"}, + {file = "contourpy-1.0.7-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:b8d587cc39057d0afd4166083d289bdeff221ac6d3ee5046aef2d480dc4b503c"}, + {file = "contourpy-1.0.7-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:769eef00437edf115e24d87f8926955f00f7704bede656ce605097584f9966dc"}, + {file = "contourpy-1.0.7-cp38-cp38-win32.whl", hash = "sha256:62398c80ef57589bdbe1eb8537127321c1abcfdf8c5f14f479dbbe27d0322e66"}, + {file = "contourpy-1.0.7-cp38-cp38-win_amd64.whl", hash = "sha256:57119b0116e3f408acbdccf9eb6ef19d7fe7baf0d1e9aaa5381489bc1aa56556"}, + {file = "contourpy-1.0.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:30676ca45084ee61e9c3da589042c24a57592e375d4b138bd84d8709893a1ba4"}, + {file = "contourpy-1.0.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3e927b3868bd1e12acee7cc8f3747d815b4ab3e445a28d2e5373a7f4a6e76ba1"}, + {file = "contourpy-1.0.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:366a0cf0fc079af5204801786ad7a1c007714ee3909e364dbac1729f5b0849e5"}, + {file = "contourpy-1.0.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89ba9bb365446a22411f0673abf6ee1fea3b2cf47b37533b970904880ceb72f3"}, + {file = "contourpy-1.0.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:71b0bf0c30d432278793d2141362ac853859e87de0a7dee24a1cea35231f0d50"}, + {file = "contourpy-1.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7281244c99fd7c6f27c1c6bfafba878517b0b62925a09b586d88ce750a016d2"}, + {file = "contourpy-1.0.7-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b6d0f9e1d39dbfb3977f9dd79f156c86eb03e57a7face96f199e02b18e58d32a"}, + {file = "contourpy-1.0.7-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7f6979d20ee5693a1057ab53e043adffa1e7418d734c1532e2d9e915b08d8ec2"}, + {file = "contourpy-1.0.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5dd34c1ae752515318224cba7fc62b53130c45ac6a1040c8b7c1a223c46e8967"}, + {file = "contourpy-1.0.7-cp39-cp39-win32.whl", hash = "sha256:c5210e5d5117e9aec8c47d9156d1d3835570dd909a899171b9535cb4a3f32693"}, + {file = "contourpy-1.0.7-cp39-cp39-win_amd64.whl", hash = "sha256:60835badb5ed5f4e194a6f21c09283dd6e007664a86101431bf870d9e86266c4"}, + {file = "contourpy-1.0.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ce41676b3d0dd16dbcfabcc1dc46090aaf4688fd6e819ef343dbda5a57ef0161"}, + {file = "contourpy-1.0.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a011cf354107b47c58ea932d13b04d93c6d1d69b8b6dce885e642531f847566"}, + {file = "contourpy-1.0.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:31a55dccc8426e71817e3fe09b37d6d48ae40aae4ecbc8c7ad59d6893569c436"}, + {file = "contourpy-1.0.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69f8ff4db108815addd900a74df665e135dbbd6547a8a69333a68e1f6e368ac2"}, + {file = "contourpy-1.0.7-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:efe99298ba37e37787f6a2ea868265465410822f7bea163edcc1bd3903354ea9"}, + {file = "contourpy-1.0.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a1e97b86f73715e8670ef45292d7cc033548266f07d54e2183ecb3c87598888f"}, + {file = "contourpy-1.0.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc331c13902d0f50845099434cd936d49d7a2ca76cb654b39691974cb1e4812d"}, + {file = "contourpy-1.0.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:24847601071f740837aefb730e01bd169fbcaa610209779a78db7ebb6e6a7051"}, + {file = "contourpy-1.0.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abf298af1e7ad44eeb93501e40eb5a67abbf93b5d90e468d01fc0c4451971afa"}, + {file = "contourpy-1.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:64757f6460fc55d7e16ed4f1de193f362104285c667c112b50a804d482777edd"}, + {file = "contourpy-1.0.7.tar.gz", hash = "sha256:d8165a088d31798b59e91117d1f5fc3df8168d8b48c4acc10fc0df0d0bdbcc5e"}, +] [package.dependencies] numpy = ">=1.16" [package.extras] -test-no-codebase = ["pillow", "matplotlib", "pytest"] -test-minimal = ["pytest"] -test = ["isort", "flake8", "pillow", "matplotlib", "pytest"] -docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"] -bokeh = ["selenium", "bokeh"] +bokeh = ["bokeh", "chromedriver", "selenium"] +docs = ["furo", "sphinx-copybutton"] +mypy = ["contourpy[bokeh]", "docutils-stubs", "mypy (==0.991)", "types-Pillow"] +test = ["Pillow", "matplotlib", "pytest"] +test-no-images = ["pytest"] [[package]] name = "cycler" @@ -287,22 +813,49 @@ description = "Composable style cycles" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"}, + {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"}, +] [[package]] name = "debugpy" -version = "1.6.3" +version = "1.6.6" description = "An implementation of the Debug Adapter Protocol for Python" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "debugpy-1.6.6-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:0ea1011e94416e90fb3598cc3ef5e08b0a4dd6ce6b9b33ccd436c1dffc8cd664"}, + {file = "debugpy-1.6.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dff595686178b0e75580c24d316aa45a8f4d56e2418063865c114eef651a982e"}, + {file = "debugpy-1.6.6-cp310-cp310-win32.whl", hash = "sha256:87755e173fcf2ec45f584bb9d61aa7686bb665d861b81faa366d59808bbd3494"}, + {file = "debugpy-1.6.6-cp310-cp310-win_amd64.whl", hash = "sha256:72687b62a54d9d9e3fb85e7a37ea67f0e803aaa31be700e61d2f3742a5683917"}, + {file = "debugpy-1.6.6-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:78739f77c58048ec006e2b3eb2e0cd5a06d5f48c915e2fc7911a337354508110"}, + {file = "debugpy-1.6.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23c29e40e39ad7d869d408ded414f6d46d82f8a93b5857ac3ac1e915893139ca"}, + {file = "debugpy-1.6.6-cp37-cp37m-win32.whl", hash = "sha256:7aa7e103610e5867d19a7d069e02e72eb2b3045b124d051cfd1538f1d8832d1b"}, + {file = "debugpy-1.6.6-cp37-cp37m-win_amd64.whl", hash = "sha256:f6383c29e796203a0bba74a250615ad262c4279d398e89d895a69d3069498305"}, + {file = "debugpy-1.6.6-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:23363e6d2a04d726bbc1400bd4e9898d54419b36b2cdf7020e3e215e1dcd0f8e"}, + {file = "debugpy-1.6.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9b5d1b13d7c7bf5d7cf700e33c0b8ddb7baf030fcf502f76fc061ddd9405d16c"}, + {file = "debugpy-1.6.6-cp38-cp38-win32.whl", hash = "sha256:70ab53918fd907a3ade01909b3ed783287ede362c80c75f41e79596d5ccacd32"}, + {file = "debugpy-1.6.6-cp38-cp38-win_amd64.whl", hash = "sha256:c05349890804d846eca32ce0623ab66c06f8800db881af7a876dc073ac1c2225"}, + {file = "debugpy-1.6.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a771739902b1ae22a120dbbb6bd91b2cae6696c0e318b5007c5348519a4211c6"}, + {file = "debugpy-1.6.6-cp39-cp39-win32.whl", hash = "sha256:549ae0cb2d34fc09d1675f9b01942499751d174381b6082279cf19cdb3c47cbe"}, + {file = "debugpy-1.6.6-cp39-cp39-win_amd64.whl", hash = "sha256:de4a045fbf388e120bb6ec66501458d3134f4729faed26ff95de52a754abddb1"}, + {file = "debugpy-1.6.6-py2.py3-none-any.whl", hash = "sha256:be596b44448aac14eb3614248c91586e2bc1728e020e82ef3197189aae556115"}, + {file = "debugpy-1.6.6.zip", hash = "sha256:b9c2130e1c632540fbf9c2c88341493797ddf58016e7cba02e311de9b0a96b67"}, +] [[package]] name = "decorator" -version = "5.1.1" +version = "4.4.2" description = "Decorators for Humans" category = "main" optional = false -python-versions = ">=3.5" +python-versions = ">=2.6, !=3.0.*, !=3.1.*" +files = [ + {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"}, + {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"}, +] [[package]] name = "deepface" @@ -311,6 +864,10 @@ description = "A Lightweight Face Recognition and Facial Attribute Analysis Fram category = "main" optional = false python-versions = ">=3.5.5" +files = [ + {file = "deepface-0.0.68-py3-none-any.whl", hash = "sha256:38fca358bd48f40ddc8cebafbfe4eb531e12b56cd3fc135dbc3173c10ad40504"}, + {file = "deepface-0.0.68.tar.gz", hash = "sha256:c7172c78cc549801e726b7cc684ef8931f482640ab4cb1ddfaf9f7e1325576f4"}, +] [package.dependencies] Flask = ">=1.1.2" @@ -332,6 +889,21 @@ description = "XML bomb protection for Python stdlib modules" category = "main" 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 = "docopt" +version = "0.6.2" +description = "Pythonic argument parser, that will make you smile" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "docopt-0.6.2.tar.gz", hash = "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491"}, +] [[package]] name = "entrypoints" @@ -340,6 +912,10 @@ description = "Discover and load entry points from installed packages." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"}, + {file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"}, +] [[package]] name = "et-xmlfile" @@ -348,48 +924,119 @@ description = "An implementation of lxml.xmlfile for the standard library" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"}, + {file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"}, +] [[package]] name = "executing" -version = "1.1.1" +version = "1.2.0" description = "Get the currently executing AST node of a frame, and other information" category = "main" optional = false python-versions = "*" +files = [ + {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"}, + {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"}, +] + +[package.extras] +tests = ["asttokens", "littleutils", "pytest", "rich"] + +[[package]] +name = "fastapi" +version = "0.93.0" +description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "fastapi-0.93.0-py3-none-any.whl", hash = "sha256:d6e6db5f096d67b475e2a09e1124983554f634fad50297de85fc3de0583df13a"}, + {file = "fastapi-0.93.0.tar.gz", hash = "sha256:c2944febec6da706f4c82cdfa0de48afda960c8fbde29dec88697d55a67d7718"}, +] + +[package.dependencies] +pydantic = ">=1.6.2,<1.7 || >1.7,<1.7.1 || >1.7.1,<1.7.2 || >1.7.2,<1.7.3 || >1.7.3,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0" +starlette = ">=0.25.0,<0.26.0" [package.extras] -tests = ["rich", "littleutils", "pytest", "asttokens"] +all = ["email-validator (>=1.1.1)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +dev = ["pre-commit (>=2.17.0,<3.0.0)", "ruff (==0.0.138)", "uvicorn[standard] (>=0.12.0,<0.21.0)"] +doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer-cli (>=0.0.13,<0.0.14)", "typer[all] (>=0.6.1,<0.8.0)"] +test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.10.0)", "coverage[toml] (>=6.5.0,<8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "pyyaml (>=5.3.1,<7.0.0)", "ruff (==0.0.138)", "sqlalchemy (>=1.3.18,<1.4.43)", "types-orjson (==3.6.2)", "types-ujson (==5.6.0.0)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"] [[package]] name = "fastjsonschema" -version = "2.16.2" +version = "2.16.3" description = "Fastest Python implementation of JSON schema" category = "main" optional = false python-versions = "*" +files = [ + {file = "fastjsonschema-2.16.3-py3-none-any.whl", hash = "sha256:04fbecc94300436f628517b05741b7ea009506ce8f946d40996567c669318490"}, + {file = "fastjsonschema-2.16.3.tar.gz", hash = "sha256:4a30d6315a68c253cfa8f963b9697246315aa3db89f98b97235e345dedfb0b8e"}, +] + +[package.extras] +devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + +[[package]] +name = "ffmpeg-python" +version = "0.2.0" +description = "Python bindings for FFmpeg - with complex filtering support" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "ffmpeg-python-0.2.0.tar.gz", hash = "sha256:65225db34627c578ef0e11c8b1eb528bb35e024752f6f10b78c011f6f64c4127"}, + {file = "ffmpeg_python-0.2.0-py3-none-any.whl", hash = "sha256:ac441a0404e053f8b6a1113a77c0f452f1cfc62f6344a769475ffdc0f56c23c5"}, +] + +[package.dependencies] +future = "*" [package.extras] -devel = ["colorama", "jsonschema", "json-spec", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] +dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4.6.1)", "pytest-mock (==1.10.4)", "tox (==3.12.1)"] + +[[package]] +name = "ffmpy" +version = "0.3.0" +description = "A simple Python wrapper for ffmpeg" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "ffmpy-0.3.0.tar.gz", hash = "sha256:757591581eee25b4a50ac9ffb9b58035a2794533db47e0512f53fb2d7b6f9adc"}, +] [[package]] name = "filelock" -version = "3.8.0" +version = "3.9.0" description = "A platform independent file lock." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "filelock-3.9.0-py3-none-any.whl", hash = "sha256:f58d535af89bb9ad5cd4df046f741f8553a418c01a7856bf0d173bbc9f6bd16d"}, + {file = "filelock-3.9.0.tar.gz", hash = "sha256:7b319f24340b51f55a2bf7a12ac0755a9b03e718311dac567a0f4f7fabd2f5de"}, +] [package.extras] -docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"] -testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"] +docs = ["furo (>=2022.12.7)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"] +testing = ["covdefaults (>=2.2.2)", "coverage (>=7.0.1)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"] [[package]] name = "flask" -version = "2.2.2" +version = "2.2.3" description = "A simple framework for building complex web applications." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "Flask-2.2.3-py3-none-any.whl", hash = "sha256:c0bec9477df1cb867e5a67c9e1ab758de9cb4a3e52dd70681f59fa40a62b3f2d"}, + {file = "Flask-2.2.3.tar.gz", hash = "sha256:7eb373984bf1c770023fce9db164ed0c3353cd0b53f130f4693da0ca756a2e6d"}, +] [package.dependencies] click = ">=8.0" @@ -404,11 +1051,15 @@ dotenv = ["python-dotenv"] [[package]] name = "flatbuffers" -version = "22.9.24" +version = "23.1.21" description = "The FlatBuffers serialization format for Python" category = "main" optional = false python-versions = "*" +files = [ + {file = "flatbuffers-23.1.21-py2.py3-none-any.whl", hash = "sha256:2e4101b291b14f21e87ea20b7bf7127b11563f6084e352d2d708bddd545c9265"}, + {file = "flatbuffers-23.1.21.tar.gz", hash = "sha256:a948913bbb5d83c43a1193d7943c90e6c0ab732e7f2983111104250aeb61ff85"}, +] [[package]] name = "fonttools" @@ -417,11 +1068,15 @@ description = "Tools to manipulate font files" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "fonttools-4.38.0-py3-none-any.whl", hash = "sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb"}, + {file = "fonttools-4.38.0.zip", hash = "sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1"}, +] [package.extras] -all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"] +all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=14.0.0)", "xattr", "zopfli (>=0.1.4)"] graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["scipy", "munkres"] +interpolatable = ["munkres", "scipy"] lxml = ["lxml (>=4.0,<5)"] pathops = ["skia-pathops (>=0.5.0)"] plot = ["matplotlib"] @@ -430,7 +1085,137 @@ symfont = ["sympy"] type1 = ["xattr"] ufo = ["fs (>=2.2.0,<3)"] unicode = ["unicodedata2 (>=14.0.0)"] -woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"] +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" +category = "main" +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 = "frozenlist" +version = "1.3.3" +description = "A list-like structure which implements collections.abc.MutableSequence" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "frozenlist-1.3.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff8bf625fe85e119553b5383ba0fb6aa3d0ec2ae980295aaefa552374926b3f4"}, + {file = "frozenlist-1.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dfbac4c2dfcc082fcf8d942d1e49b6aa0766c19d3358bd86e2000bf0fa4a9cf0"}, + {file = "frozenlist-1.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b1c63e8d377d039ac769cd0926558bb7068a1f7abb0f003e3717ee003ad85530"}, + {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fdfc24dcfce5b48109867c13b4cb15e4660e7bd7661741a391f821f23dfdca7"}, + {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2c926450857408e42f0bbc295e84395722ce74bae69a3b2aa2a65fe22cb14b99"}, + {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1841e200fdafc3d51f974d9d377c079a0694a8f06de2e67b48150328d66d5483"}, + {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f470c92737afa7d4c3aacc001e335062d582053d4dbe73cda126f2d7031068dd"}, + {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:783263a4eaad7c49983fe4b2e7b53fa9770c136c270d2d4bbb6d2192bf4d9caf"}, + {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:924620eef691990dfb56dc4709f280f40baee568c794b5c1885800c3ecc69816"}, + {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ae4dc05c465a08a866b7a1baf360747078b362e6a6dbeb0c57f234db0ef88ae0"}, + {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:bed331fe18f58d844d39ceb398b77d6ac0b010d571cba8267c2e7165806b00ce"}, + {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:02c9ac843e3390826a265e331105efeab489ffaf4dd86384595ee8ce6d35ae7f"}, + {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9545a33965d0d377b0bc823dcabf26980e77f1b6a7caa368a365a9497fb09420"}, + {file = "frozenlist-1.3.3-cp310-cp310-win32.whl", hash = "sha256:d5cd3ab21acbdb414bb6c31958d7b06b85eeb40f66463c264a9b343a4e238642"}, + {file = "frozenlist-1.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:b756072364347cb6aa5b60f9bc18e94b2f79632de3b0190253ad770c5df17db1"}, + {file = "frozenlist-1.3.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b4395e2f8d83fbe0c627b2b696acce67868793d7d9750e90e39592b3626691b7"}, + {file = "frozenlist-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:14143ae966a6229350021384870458e4777d1eae4c28d1a7aa47f24d030e6678"}, + {file = "frozenlist-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5d8860749e813a6f65bad8285a0520607c9500caa23fea6ee407e63debcdbef6"}, + {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23d16d9f477bb55b6154654e0e74557040575d9d19fe78a161bd33d7d76808e8"}, + {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eb82dbba47a8318e75f679690190c10a5e1f447fbf9df41cbc4c3afd726d88cb"}, + {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9309869032abb23d196cb4e4db574232abe8b8be1339026f489eeb34a4acfd91"}, + {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a97b4fe50b5890d36300820abd305694cb865ddb7885049587a5678215782a6b"}, + {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c188512b43542b1e91cadc3c6c915a82a5eb95929134faf7fd109f14f9892ce4"}, + {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:303e04d422e9b911a09ad499b0368dc551e8c3cd15293c99160c7f1f07b59a48"}, + {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:0771aed7f596c7d73444c847a1c16288937ef988dc04fb9f7be4b2aa91db609d"}, + {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:66080ec69883597e4d026f2f71a231a1ee9887835902dbe6b6467d5a89216cf6"}, + {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:41fe21dc74ad3a779c3d73a2786bdf622ea81234bdd4faf90b8b03cad0c2c0b4"}, + {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f20380df709d91525e4bee04746ba612a4df0972c1b8f8e1e8af997e678c7b81"}, + {file = "frozenlist-1.3.3-cp311-cp311-win32.whl", hash = "sha256:f30f1928162e189091cf4d9da2eac617bfe78ef907a761614ff577ef4edfb3c8"}, + {file = "frozenlist-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:a6394d7dadd3cfe3f4b3b186e54d5d8504d44f2d58dcc89d693698e8b7132b32"}, + {file = "frozenlist-1.3.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8df3de3a9ab8325f94f646609a66cbeeede263910c5c0de0101079ad541af332"}, + {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0693c609e9742c66ba4870bcee1ad5ff35462d5ffec18710b4ac89337ff16e27"}, + {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cd4210baef299717db0a600d7a3cac81d46ef0e007f88c9335db79f8979c0d3d"}, + {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:394c9c242113bfb4b9aa36e2b80a05ffa163a30691c7b5a29eba82e937895d5e"}, + {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6327eb8e419f7d9c38f333cde41b9ae348bec26d840927332f17e887a8dcb70d"}, + {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e24900aa13212e75e5b366cb9065e78bbf3893d4baab6052d1aca10d46d944c"}, + {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:3843f84a6c465a36559161e6c59dce2f2ac10943040c2fd021cfb70d58c4ad56"}, + {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:84610c1502b2461255b4c9b7d5e9c48052601a8957cd0aea6ec7a7a1e1fb9420"}, + {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:c21b9aa40e08e4f63a2f92ff3748e6b6c84d717d033c7b3438dd3123ee18f70e"}, + {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:efce6ae830831ab6a22b9b4091d411698145cb9b8fc869e1397ccf4b4b6455cb"}, + {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:40de71985e9042ca00b7953c4f41eabc3dc514a2d1ff534027f091bc74416401"}, + {file = "frozenlist-1.3.3-cp37-cp37m-win32.whl", hash = "sha256:180c00c66bde6146a860cbb81b54ee0df350d2daf13ca85b275123bbf85de18a"}, + {file = "frozenlist-1.3.3-cp37-cp37m-win_amd64.whl", hash = "sha256:9bbbcedd75acdfecf2159663b87f1bb5cfc80e7cd99f7ddd9d66eb98b14a8411"}, + {file = "frozenlist-1.3.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:034a5c08d36649591be1cbb10e09da9f531034acfe29275fc5454a3b101ce41a"}, + {file = "frozenlist-1.3.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ba64dc2b3b7b158c6660d49cdb1d872d1d0bf4e42043ad8d5006099479a194e5"}, + {file = "frozenlist-1.3.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:47df36a9fe24054b950bbc2db630d508cca3aa27ed0566c0baf661225e52c18e"}, + {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:008a054b75d77c995ea26629ab3a0c0d7281341f2fa7e1e85fa6153ae29ae99c"}, + {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:841ea19b43d438a80b4de62ac6ab21cfe6827bb8a9dc62b896acc88eaf9cecba"}, + {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e235688f42b36be2b6b06fc37ac2126a73b75fb8d6bc66dd632aa35286238703"}, + {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca713d4af15bae6e5d79b15c10c8522859a9a89d3b361a50b817c98c2fb402a2"}, + {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ac5995f2b408017b0be26d4a1d7c61bce106ff3d9e3324374d66b5964325448"}, + {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a4ae8135b11652b08a8baf07631d3ebfe65a4c87909dbef5fa0cdde440444ee4"}, + {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4ea42116ceb6bb16dbb7d526e242cb6747b08b7710d9782aa3d6732bd8d27649"}, + {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:810860bb4bdce7557bc0febb84bbd88198b9dbc2022d8eebe5b3590b2ad6c842"}, + {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:ee78feb9d293c323b59a6f2dd441b63339a30edf35abcb51187d2fc26e696d13"}, + {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0af2e7c87d35b38732e810befb9d797a99279cbb85374d42ea61c1e9d23094b3"}, + {file = "frozenlist-1.3.3-cp38-cp38-win32.whl", hash = "sha256:899c5e1928eec13fd6f6d8dc51be23f0d09c5281e40d9cf4273d188d9feeaf9b"}, + {file = "frozenlist-1.3.3-cp38-cp38-win_amd64.whl", hash = "sha256:7f44e24fa70f6fbc74aeec3e971f60a14dde85da364aa87f15d1be94ae75aeef"}, + {file = "frozenlist-1.3.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2b07ae0c1edaa0a36339ec6cce700f51b14a3fc6545fdd32930d2c83917332cf"}, + {file = "frozenlist-1.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ebb86518203e12e96af765ee89034a1dbb0c3c65052d1b0c19bbbd6af8a145e1"}, + {file = "frozenlist-1.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5cf820485f1b4c91e0417ea0afd41ce5cf5965011b3c22c400f6d144296ccbc0"}, + {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c11e43016b9024240212d2a65043b70ed8dfd3b52678a1271972702d990ac6d"}, + {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8fa3c6e3305aa1146b59a09b32b2e04074945ffcfb2f0931836d103a2c38f936"}, + {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:352bd4c8c72d508778cf05ab491f6ef36149f4d0cb3c56b1b4302852255d05d5"}, + {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:65a5e4d3aa679610ac6e3569e865425b23b372277f89b5ef06cf2cdaf1ebf22b"}, + {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1e2c1185858d7e10ff045c496bbf90ae752c28b365fef2c09cf0fa309291669"}, + {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f163d2fd041c630fed01bc48d28c3ed4a3b003c00acd396900e11ee5316b56bb"}, + {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:05cdb16d09a0832eedf770cb7bd1fe57d8cf4eaf5aced29c4e41e3f20b30a784"}, + {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:8bae29d60768bfa8fb92244b74502b18fae55a80eac13c88eb0b496d4268fd2d"}, + {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:eedab4c310c0299961ac285591acd53dc6723a1ebd90a57207c71f6e0c2153ab"}, + {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3bbdf44855ed8f0fbcd102ef05ec3012d6a4fd7c7562403f76ce6a52aeffb2b1"}, + {file = "frozenlist-1.3.3-cp39-cp39-win32.whl", hash = "sha256:efa568b885bca461f7c7b9e032655c0c143d305bf01c30caf6db2854a4532b38"}, + {file = "frozenlist-1.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:cfe33efc9cb900a4c46f91a5ceba26d6df370ffddd9ca386eb1d4f0ad97b9ea9"}, + {file = "frozenlist-1.3.3.tar.gz", hash = "sha256:58bcc55721e8a90b88332d6cd441261ebb22342e238296bb330968952fbb3a6a"}, +] + +[[package]] +name = "fsspec" +version = "2023.3.0" +description = "File-system specification" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "fsspec-2023.3.0-py3-none-any.whl", hash = "sha256:bf57215e19dbfa4fe7edae53040cc1deef825e3b1605cca9a8d2c2fadd2328a0"}, + {file = "fsspec-2023.3.0.tar.gz", hash = "sha256:24e635549a590d74c6c18274ddd3ffab4753341753e923408b1904eaabafe04d"}, +] + +[package.extras] +abfs = ["adlfs"] +adl = ["adlfs"] +arrow = ["pyarrow (>=1)"] +dask = ["dask", "distributed"] +dropbox = ["dropbox", "dropboxdrivefs", "requests"] +fuse = ["fusepy"] +gcs = ["gcsfs"] +git = ["pygit2"] +github = ["requests"] +gs = ["gcsfs"] +gui = ["panel"] +hdfs = ["pyarrow (>=1)"] +http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"] +libarchive = ["libarchive-c"] +oci = ["ocifs"] +s3 = ["s3fs"] +sftp = ["paramiko"] +smb = ["smbprotocol"] +ssh = ["paramiko"] +tqdm = ["tqdm"] [[package]] name = "ftfy" @@ -439,10 +1224,25 @@ description = "Fixes mojibake and other problems with Unicode, after the fact" category = "main" optional = false python-versions = ">=3.7,<4" +files = [ + {file = "ftfy-6.1.1-py3-none-any.whl", hash = "sha256:0ffd33fce16b54cccaec78d6ec73d95ad370e5df5a25255c8966a6147bd667ca"}, + {file = "ftfy-6.1.1.tar.gz", hash = "sha256:bfc2019f84fcd851419152320a6375604a0f1459c281b5b199b2cd0d2e727f8f"}, +] [package.dependencies] wcwidth = ">=0.2.5" +[[package]] +name = "future" +version = "0.18.3" +description = "Clean single-source support for Python 3 and 2" +category = "main" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "future-0.18.3.tar.gz", hash = "sha256:34a17436ed1e96697a86f9de3d15a3b0be01d8bc8de9c1dffd59fb8234ed5307"}, +] + [[package]] name = "gast" version = "0.4.0" @@ -450,14 +1250,22 @@ description = "Python AST that abstracts the underlying Python version" category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "gast-0.4.0-py3-none-any.whl", hash = "sha256:b7adcdd5adbebf1adf17378da5ba3f543684dbec47b1cda1f3997e573cd542c4"}, + {file = "gast-0.4.0.tar.gz", hash = "sha256:40feb7b8b8434785585ab224d1568b857edb18297e5a3047f1ba012bc83b42c1"}, +] [[package]] name = "gdown" -version = "4.5.3" +version = "4.6.4" description = "Google Drive direct download of big files." category = "main" optional = false python-versions = "*" +files = [ + {file = "gdown-4.6.4-py3-none-any.whl", hash = "sha256:03eb456d43611d7f8531a68662cae0d5c65cb74c7159365f2d1fbe882b39ce6b"}, + {file = "gdown-4.6.4.tar.gz", hash = "sha256:d33210b1b3d7b12fef05d6b9ea7f22a513739909ca511d5d9d236dc676667f79"}, +] [package.dependencies] beautifulsoup4 = "*" @@ -473,42 +1281,58 @@ description = "Copy your docs directly to the gh-pages branch." category = "dev" optional = false python-versions = "*" +files = [ + {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"}, + {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"}, +] [package.dependencies] python-dateutil = ">=2.8.1" [package.extras] -dev = ["wheel", "flake8", "markdown", "twine"] +dev = ["flake8", "markdown", "twine", "wheel"] [[package]] name = "gitdb" -version = "4.0.9" +version = "4.0.10" description = "Git Object Database" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" +files = [ + {file = "gitdb-4.0.10-py3-none-any.whl", hash = "sha256:c286cf298426064079ed96a9e4a9d39e7f3e9bf15ba60701e95f5492f28415c7"}, + {file = "gitdb-4.0.10.tar.gz", hash = "sha256:6eb990b69df4e15bad899ea868dc46572c3f75339735663b81de79b06f17eb9a"}, +] [package.dependencies] smmap = ">=3.0.1,<6" [[package]] name = "gitpython" -version = "3.1.29" -description = "GitPython is a python library used to interact with Git repositories" +version = "3.1.31" +description = "GitPython is a Python library used to interact with Git repositories" category = "dev" optional = false python-versions = ">=3.7" +files = [ + {file = "GitPython-3.1.31-py3-none-any.whl", hash = "sha256:f04893614f6aa713a60cbbe1e6a97403ef633103cdd0ef5eb6efe0deb98dbe8d"}, + {file = "GitPython-3.1.31.tar.gz", hash = "sha256:8ce3bcf69adfdf7c7d503e78fd3b1c492af782d58893b650adb2ac8912ddd573"}, +] [package.dependencies] gitdb = ">=4.0.1,<5" [[package]] name = "google-auth" -version = "2.13.0" +version = "2.16.1" description = "Google Authentication Library" category = "main" optional = false python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*" +files = [ + {file = "google-auth-2.16.1.tar.gz", hash = "sha256:5fd170986bce6bfd7bb5c845c4b8362edb1e0cba901e062196e83f8bb5d5d32c"}, + {file = "google_auth-2.16.1-py2.py3-none-any.whl", hash = "sha256:75d76ea857df65938e1f71dcbcd7d0cd48e3f80b34b8870ba229c9292081f7ef"}, +] [package.dependencies] cachetools = ">=2.0.0,<6.0" @@ -517,10 +1341,11 @@ rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""} six = ">=1.9.0" [package.extras] -aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"] -enterprise_cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"] -pyopenssl = ["pyopenssl (>=20.0.0)"] +aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "requests (>=2.20.0,<3.0.0dev)"] +enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"] +pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] reauth = ["pyu2f (>=0.1.5)"] +requests = ["requests (>=2.20.0,<3.0.0dev)"] [[package]] name = "google-auth-oauthlib" @@ -529,6 +1354,10 @@ description = "Google Authentication Library" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "google-auth-oauthlib-0.4.6.tar.gz", hash = "sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"}, + {file = "google_auth_oauthlib-0.4.6-py2.py3-none-any.whl", hash = "sha256:3f2a6e802eebbb6fb736a370fbf3b055edcb6b52878bf2f26330b5e041316c73"}, +] [package.dependencies] google-auth = ">=1.0.0" @@ -544,60 +1373,238 @@ description = "pasta is an AST-based Python refactoring library" category = "main" optional = false python-versions = "*" +files = [ + {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"}, + {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"}, + {file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"}, +] [package.dependencies] six = "*" [[package]] -name = "grpcio" -version = "1.50.0" -description = "HTTP/2-based RPC framework" +name = "gradio" +version = "3.20.1" +description = "Python library for easily interacting with trained machine learning models" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "gradio-3.20.1-py3-none-any.whl", hash = "sha256:fbdb96a461ce7180538008342d7011b87d9cca4847be0a5a845a12f57e322e25"}, + {file = "gradio-3.20.1.tar.gz", hash = "sha256:a06f7b1b07a1c815a3597cc3ab27e3fb1da601f33a39085829d0378f446ff15b"}, +] [package.dependencies] -six = ">=1.5.2" - -[package.extras] -protobuf = ["grpcio-tools (>=1.50.0)"] - -[[package]] +aiofiles = "*" +aiohttp = "*" +altair = ">=4.2.0" +fastapi = "*" +ffmpy = "*" +fsspec = "*" +httpx = "*" +jinja2 = "*" +markdown-it-py = {version = ">=2.0.0", extras = ["linkify"]} +markupsafe = "*" +matplotlib = "*" +mdit-py-plugins = "<=0.3.3" +numpy = "*" +orjson = "*" +pandas = "*" +pillow = "*" +pycryptodome = "*" +pydantic = "*" +pydub = "*" +python-multipart = "*" +pyyaml = "*" +requests = "*" +typing-extensions = "*" +uvicorn = "*" +websockets = ">=10.0" + +[[package]] +name = "grpcio" +version = "1.52.0" +description = "HTTP/2-based RPC framework" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "grpcio-1.52.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:7a6f6e2857908f9d7dc9a3150d45c72a35c351aa74621100145bd8ce4d083cac"}, + {file = "grpcio-1.52.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:b0c55958d3aa9b60eabd1cb230e2d80e48bc4baa2f7e90e7637dc8429538599a"}, + {file = "grpcio-1.52.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:ef46f86aabc254d1599adf00eaa47f9d8b8c2af51b89934f0dbe2309b829c778"}, + {file = "grpcio-1.52.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5d767848c6540130b00255d062e0eee7e8fe53dabef6c7bdf19b8e12085324f7"}, + {file = "grpcio-1.52.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c07775ad29baaa957e13a2fdb9724aa734b81be9be015c25d36bd93544a9279e"}, + {file = "grpcio-1.52.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:8e64e5d2e76745584c193e29f68fa038ad516e3b03fb16ccff9cc6c416c08b94"}, + {file = "grpcio-1.52.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc9467256c0525f83cadf0a77141ea393d3ed1bd1c218ac835e073d8a56d3c50"}, + {file = "grpcio-1.52.0-cp310-cp310-win32.whl", hash = "sha256:7d4da24ec79183a27e690de06e7b5765734fe958651473b27c7d0020a2e465e4"}, + {file = "grpcio-1.52.0-cp310-cp310-win_amd64.whl", hash = "sha256:b274c8240b30cccca70128051e767b498679040f29304b904e463249c06f37ab"}, + {file = "grpcio-1.52.0-cp311-cp311-linux_armv7l.whl", hash = "sha256:9cb42152c9880d340fc879ef86c9362014d029c1aac5629b1ff6b013e7722965"}, + {file = "grpcio-1.52.0-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:fefbf58dd05b6aaf39dfe1df4a1464680b44496cc617083cb141ec18aac1d6d4"}, + {file = "grpcio-1.52.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0ed59aeb98cd95ba794d6fc77623f4bb340d1a362c0e156c086e942d21403d2a"}, + {file = "grpcio-1.52.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c5553e5d881a733512cca25f810d746d7f405dcaddf0525bf99c8e7953c4ecd"}, + {file = "grpcio-1.52.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:24fdf136bc0ccf85a3c0a572c3ea71957529299d4ec208eb1f2a1d06f2b17cf2"}, + {file = "grpcio-1.52.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:bc7976baed22b87548bfd37defddb4344f4a9959bf3d276ae2cb624caa11c234"}, + {file = "grpcio-1.52.0-cp311-cp311-win32.whl", hash = "sha256:84edd2ae3c0e4ca320dfc79c24ea554e06faf1a21e5ebdb1441450dec702444e"}, + {file = "grpcio-1.52.0-cp311-cp311-win_amd64.whl", hash = "sha256:ae38c4f5e724fe85550714d56213a2eb4335a1a795bff88b3dbc75cfbc036ef2"}, + {file = "grpcio-1.52.0-cp37-cp37m-linux_armv7l.whl", hash = "sha256:10ac3d9cbc576642257c5bc674b3f6349ebcfd0ce198630423c4dedae4e545ec"}, + {file = "grpcio-1.52.0-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:e61683fd0a8a05ba788a067942c2bc73368cbf7836f0071268fc0abadc287dea"}, + {file = "grpcio-1.52.0-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:f290c80604a0fd0e202b4f76f3bc6eed6c0750e88525f91219ccb5cc99213fca"}, + {file = "grpcio-1.52.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7bb4cae47cf9fe2bd51ddabb14f310dc35812c3676c8972006119a8b01050567"}, + {file = "grpcio-1.52.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25175ed51891150e16bc63b69fb96db71b04080a17c09e83f750e118fa5b775a"}, + {file = "grpcio-1.52.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:d9e06472f59f585235ac51e4645f42a02a262fc7480fad13ede0b3c11cefa8a1"}, + {file = "grpcio-1.52.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:c073f4fdcbdac14fbb1b9c001222c76c446874a8ec6def028e72a746cc9cc20e"}, + {file = "grpcio-1.52.0-cp37-cp37m-win32.whl", hash = "sha256:acf13fabfb5d974e5c489c6fabe3037a6d8105030e9571cf7f8f6f92c49e734c"}, + {file = "grpcio-1.52.0-cp37-cp37m-win_amd64.whl", hash = "sha256:53406f1384406a66c18a9034265d0ad7eeafd3579da552c459bfa330ef43fcf8"}, + {file = "grpcio-1.52.0-cp38-cp38-linux_armv7l.whl", hash = "sha256:b49126b66bde56d90d970e9d091e26b600d345a8222f4214f732b30cf63756d9"}, + {file = "grpcio-1.52.0-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:9b929fb9ee7ae082c7930aa58128138ab26f1c60e205b541f0a18975a74c2641"}, + {file = "grpcio-1.52.0-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:434a693418dd706f6ba27d9b5ee5a6c7ee0302b197ac3e05e4080501a31b0b73"}, + {file = "grpcio-1.52.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d05eef8a94d74459582cd36dbc34aa6f2e0dcb4d59f08c8093b9728f0ccf694a"}, + {file = "grpcio-1.52.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6354bc9083a57b1c6e0cc87065733c356806fa8260ec055387a73d445cf5a1d6"}, + {file = "grpcio-1.52.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:f34376ef75d7f70ad2c07fc7750a3293c034cce09aafc82fe7ae782542cce687"}, + {file = "grpcio-1.52.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2f86596763fe0c2077c7193c9d941d282b4bd7c086262e797e8d4290a3cfa9d5"}, + {file = "grpcio-1.52.0-cp38-cp38-win32.whl", hash = "sha256:d37b32f043f7f1a0d6512cabb0439e987a2c7f946e97c87fa4e26e46dfce8ef0"}, + {file = "grpcio-1.52.0-cp38-cp38-win_amd64.whl", hash = "sha256:92602fc9457f2957a9505a2e8d53e8382345494b32b551626723c4ead304c539"}, + {file = "grpcio-1.52.0-cp39-cp39-linux_armv7l.whl", hash = "sha256:486632391067cfa9acd0d58d76543fe26449d8d647ab5f24b24879f4fa45846b"}, + {file = "grpcio-1.52.0-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:c73cfc5ef2193b2ab215576524e915bf38ed96b3557086e8e9d8c8ea43c9b02c"}, + {file = "grpcio-1.52.0-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:3bbea65a62ab8a1bc3180aa24dd0d049216856a5c6b470b88769a47bc4b59d8a"}, + {file = "grpcio-1.52.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7128eaf3c789f7043cdecf7849efb9bb5dddc53f9f753f77613796bf6ea73515"}, + {file = "grpcio-1.52.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:81cc7210dc4735200d81764ad8c3761845a6b95fad36d586fa10cc4f95dc3106"}, + {file = "grpcio-1.52.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2e85431a3f2970303d34596ae5bd6d07842255f897009b63b23d27b315b6ef69"}, + {file = "grpcio-1.52.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:71e3185ac3425efc45e7999acba25dc5cc12a8abea46b2dd0f460c50df804974"}, + {file = "grpcio-1.52.0-cp39-cp39-win32.whl", hash = "sha256:44b326a7ffa56dd44168e067e076121d68a11eeccdcbcf804e9b9bd02e7bc6d8"}, + {file = "grpcio-1.52.0-cp39-cp39-win_amd64.whl", hash = "sha256:a6329dc693f0ac781219063c4b2c4bedc5519e280fe2f55ce6abc15b05a40d05"}, + {file = "grpcio-1.52.0.tar.gz", hash = "sha256:a5d4a83d29fc39af429c10b9b326c174fec49b73398e4a966a1f2a4f30aa4fdb"}, +] + +[package.extras] +protobuf = ["grpcio-tools (>=1.52.0)"] + +[[package]] +name = "h11" +version = "0.14.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" +category = "main" +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 = "h5py" -version = "3.7.0" +version = "3.8.0" description = "Read and write HDF5 files from Python" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "h5py-3.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:533d7dad466ddb7e3b30af274b630eb7c1a6e4ddf01d1c373a0334dc2152110a"}, + {file = "h5py-3.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c873ba9fd4fa875ad62ce0e4891725e257a8fe7f5abdbc17e51a5d54819be55c"}, + {file = "h5py-3.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98a240cd4c1bfd568aaa52ec42d263131a2582dab82d74d3d42a0d954cac12be"}, + {file = "h5py-3.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3389b63222b1c7a158bb7fe69d11ca00066740ec5574596d47a2fe5317f563a"}, + {file = "h5py-3.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:7f3350fc0a8407d668b13247861c2acd23f7f5fe7d060a3ad9b0820f5fcbcae0"}, + {file = "h5py-3.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:db03e3f2c716205fbdabb34d0848459840585225eb97b4f08998c743821ca323"}, + {file = "h5py-3.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:36761693efbe53df179627a775476dcbc37727d6e920958277a7efbc18f1fb73"}, + {file = "h5py-3.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a506fc223def428f4329e7e1f9fe1c8c593eab226e7c0942c8d75308ad49950"}, + {file = "h5py-3.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33b15aae79e9147aebe1d0e54099cbcde8d65e3e227cd5b59e49b1272aa0e09d"}, + {file = "h5py-3.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:9f6f6ffadd6bfa9b2c5b334805eb4b19ca0a5620433659d8f7fb86692c40a359"}, + {file = "h5py-3.8.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8f55d9c6c84d7d09c79fb85979e97b81ec6071cc776a97eb6b96f8f6ec767323"}, + {file = "h5py-3.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b685453e538b2b5934c58a644ac3f3b3d0cec1a01b6fb26d57388e9f9b674ad0"}, + {file = "h5py-3.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:377865821fe80ad984d003723d6f8890bd54ceeb5981b43c0313b9df95411b30"}, + {file = "h5py-3.8.0-cp37-cp37m-win_amd64.whl", hash = "sha256:0fef76e10b9216657fa37e7edff6d8be0709b25bd5066474c229b56cf0098df9"}, + {file = "h5py-3.8.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:26ffc344ec9984d2cd3ca0265007299a8bac8d85c1ad48f4639d8d3aed2af171"}, + {file = "h5py-3.8.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bacaa1c16810dd2b3e4417f8e730971b7c4d53d234de61fe4a918db78e80e1e4"}, + {file = "h5py-3.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bae730580ae928de409d63cbe4fdca4c82c3ad2bed30511d19d34e995d63c77e"}, + {file = "h5py-3.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f47f757d1b76f0ecb8aa0508ec8d1b390df67a8b67ee2515dc1b046f3a1596ea"}, + {file = "h5py-3.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:f891b17e3a3e974e93f9e34e7cca9f530806543571ce078998676a555837d91d"}, + {file = "h5py-3.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:290e00fa2de74a10688d1bac98d5a9cdd43f14f58e562c580b5b3dfbd358ecae"}, + {file = "h5py-3.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:03890b1c123d024fb0239a3279737d5432498c1901c354f8b10d8221d1d16235"}, + {file = "h5py-3.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7865de06779b14d98068da387333ad9bf2756b5b579cc887fac169bc08f87c3"}, + {file = "h5py-3.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49bc857635f935fa30e92e61ac1e87496df8f260a6945a3235e43a9890426866"}, + {file = "h5py-3.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:5fd2252d1fc364ba0e93dd0b7089f4906b66805cb4e6aca7fa8874ac08649647"}, + {file = "h5py-3.8.0.tar.gz", hash = "sha256:6fead82f0c4000cf38d53f9c030780d81bfa0220218aee13b90b7701c937d95f"}, +] [package.dependencies] numpy = ">=1.14.5" +[[package]] +name = "httpcore" +version = "0.16.3" +description = "A minimal low-level HTTP client." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "httpcore-0.16.3-py3-none-any.whl", hash = "sha256:da1fb708784a938aa084bde4feb8317056c55037247c787bd7e19eb2c2949dc0"}, + {file = "httpcore-0.16.3.tar.gz", hash = "sha256:c5d6f04e2fc530f39e0c077e6a30caa53f1451096120f1f38b954afd0b17c0cb"}, +] + +[package.dependencies] +anyio = ">=3.0,<5.0" +certifi = "*" +h11 = ">=0.13,<0.15" +sniffio = ">=1.0.0,<2.0.0" + +[package.extras] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (>=1.0.0,<2.0.0)"] + +[[package]] +name = "httpx" +version = "0.23.3" +description = "The next generation HTTP client." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "httpx-0.23.3-py3-none-any.whl", hash = "sha256:a211fcce9b1254ea24f0cd6af9869b3d29aba40154e947d2a07bb499b3e310d6"}, + {file = "httpx-0.23.3.tar.gz", hash = "sha256:9818458eb565bb54898ccb9b8b251a28785dd4a55afbc23d0eb410754fe7d0f9"}, +] + +[package.dependencies] +certifi = "*" +httpcore = ">=0.15.0,<0.17.0" +rfc3986 = {version = ">=1.3,<2", extras = ["idna2008"]} +sniffio = "*" + +[package.extras] +brotli = ["brotli", "brotlicffi"] +cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<13)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (>=1.0.0,<2.0.0)"] + [[package]] name = "huggingface-hub" -version = "0.10.1" +version = "0.12.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" category = "main" optional = false python-versions = ">=3.7.0" +files = [ + {file = "huggingface_hub-0.12.1-py3-none-any.whl", hash = "sha256:867586cc8543fe1bd43a219fedbea7d71690021ad80f0c46f35c4751069278d7"}, + {file = "huggingface_hub-0.12.1.tar.gz", hash = "sha256:6f960f6246ef9c3446d0d6275e853485515682c350917fdaf2a59705f8b9ebb3"}, +] [package.dependencies] filelock = "*" packaging = ">=20.9" pyyaml = ">=5.1" requests = "*" -tqdm = "*" +tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "soundfile", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "mypy"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "soundfile", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "mypy"] -fastai = ["toml", "fastai (>=2.4)", "fastcore (>=1.3.27)"] -quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy"] -tensorflow = ["tensorflow", "pydot", "graphviz"] -testing = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "soundfile"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"] +fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] +quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy (==0.982)"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "isort (>=5.5.4)", "jedi", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile"] torch = ["torch"] +typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"] [[package]] name = "idna" @@ -606,70 +1613,169 @@ description = "Internationalized Domain Names in Applications (IDNA)" category = "main" optional = false python-versions = ">=3.5" +files = [ + {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"}, + {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"}, +] + +[[package]] +name = "imageio" +version = "2.25.1" +description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "imageio-2.25.1-py3-none-any.whl", hash = "sha256:5bce7f88eef7ee4e9aac798d3b218fea2e98cbbaa59a3e37b730a7aa5784eeac"}, + {file = "imageio-2.25.1.tar.gz", hash = "sha256:6021d42debd2187e9c781e494a49a30eba002fbac1eef43f491bbc731e7a6d2b"}, +] + +[package.dependencies] +numpy = "*" +pillow = ">=8.3.2" + +[package.extras] +all-plugins = ["astropy", "av", "imageio-ffmpeg", "opencv-python", "psutil", "tifffile"] +all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"] +build = ["wheel"] +dev = ["black", "flake8", "fsspec[github]", "invoke", "pytest", "pytest-cov"] +docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"] +ffmpeg = ["imageio-ffmpeg", "psutil"] +fits = ["astropy"] +full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "invoke", "itk", "numpydoc", "opencv-python", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"] +gdal = ["gdal"] +itk = ["itk"] +linting = ["black", "flake8"] +opencv = ["opencv-python"] +pyav = ["av"] +test = ["fsspec[github]", "invoke", "pytest", "pytest-cov"] +tifffile = ["tifffile"] + +[[package]] +name = "imageio-ffmpeg" +version = "0.4.8" +description = "FFMPEG wrapper for Python" +category = "main" +optional = false +python-versions = ">=3.5" +files = [ + {file = "imageio-ffmpeg-0.4.8.tar.gz", hash = "sha256:fdaa05ad10fe070b7fa8e5f615cb0d28f3b9b791d00af6d2a11e694158d10aa9"}, + {file = "imageio_ffmpeg-0.4.8-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:dba439a303d65061aef17d2ee9324ecfa9c6b4752bd0953b309fdbb79b38451e"}, + {file = "imageio_ffmpeg-0.4.8-py3-none-manylinux2010_x86_64.whl", hash = "sha256:7caa9ce9fc0d7e2f3160ce8cb70a115e5211e0f048e5c1509163d8f89d1080df"}, + {file = "imageio_ffmpeg-0.4.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dd3ef9835df91570a1cbd9e36dfbc7d228fca42dbb11636e20df75d719de2949"}, + {file = "imageio_ffmpeg-0.4.8-py3-none-win32.whl", hash = "sha256:0e2688120b3bdb367897450d07c1b1300e96a0bace03ba7de2eb8d738237ea9a"}, + {file = "imageio_ffmpeg-0.4.8-py3-none-win_amd64.whl", hash = "sha256:120d70e6448617cad6213e47dee3a3310117c230f532dd614ed3059a78acf13a"}, +] [[package]] name = "importlib-metadata" -version = "5.0.0" +version = "6.0.0" description = "Read metadata from Python packages" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "importlib_metadata-6.0.0-py3-none-any.whl", hash = "sha256:7efb448ec9a5e313a57655d35aa54cd3e01b7e1fbcf72dce1bf06119420f5bad"}, + {file = "importlib_metadata-6.0.0.tar.gz", hash = "sha256:e354bedeb60efa6affdcc8ae121b73544a7aa74156d047311948f6d711cd378d"}, +] [package.dependencies] zipp = ">=0.5" [package.extras] -docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] perf = ["ipython"] -testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"] +testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] [[package]] name = "importlib-resources" -version = "5.10.0" +version = "5.12.0" description = "Read resources from Python packages" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"}, + {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"}, +] [package.dependencies] zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} [package.extras] -docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"] -testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + +[[package]] +name = "inaspeechsegmenter" +version = "0.7.6" +description = "CNN-based audio segmentation toolkit. Does voice activity detection, speech detection, music detection, noise detection, speaker gender recognition." +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "inaSpeechSegmenter-0.7.6-py3-none-any.whl", hash = "sha256:c712d11e17e75f2c7f4f6a24448a639da861a0361561c467f144194afb2b252b"}, + {file = "inaSpeechSegmenter-0.7.6.tar.gz", hash = "sha256:6c888a613b4588fcda4958f5131da2a17af18e319cb9023a6ecfbd2433ba5be2"}, +] + +[package.dependencies] +matplotlib = "*" +numpy = "*" +pandas = "*" +"pyannote.algorithms" = "*" +"pyannote.core" = "*" +"pyannote.parser" = "*" +Pyro4 = "*" +pytextgrid = "*" +scikit-image = "*" +soundfile = "*" +tensorflow = "*" [[package]] name = "ipykernel" -version = "6.16.1" +version = "6.21.2" description = "IPython Kernel for Jupyter" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +files = [ + {file = "ipykernel-6.21.2-py3-none-any.whl", hash = "sha256:430d00549b6aaf49bd0f5393150691edb1815afa62d457ee6b1a66b25cb17874"}, + {file = "ipykernel-6.21.2.tar.gz", hash = "sha256:6e9213484e4ce1fb14267ee435e18f23cc3a0634e635b9fb4ed4677b84e0fdf8"}, +] [package.dependencies] appnope = {version = "*", markers = "platform_system == \"Darwin\""} -debugpy = ">=1.0" +comm = ">=0.1.1" +debugpy = ">=1.6.5" ipython = ">=7.23.1" jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" matplotlib-inline = ">=0.1" nest-asyncio = "*" packaging = "*" psutil = "*" -pyzmq = ">=17" +pyzmq = ">=20" tornado = ">=6.1" -traitlets = ">=5.1.0" +traitlets = ">=5.4.0" [package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"] -test = ["flaky", "ipyparallel", "pre-commit", "pytest-cov", "pytest-timeout", "pytest (>=7.0)"] +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", "pytest-cov", "pytest-timeout"] [[package]] name = "ipython" -version = "8.5.0" +version = "8.10.0" description = "IPython: Productive Interactive Computing" category = "main" optional = false python-versions = ">=3.8" +files = [ + {file = "ipython-8.10.0-py3-none-any.whl", hash = "sha256:b38c31e8fc7eff642fc7c597061fff462537cf2314e3225a19c906b7b0d8a345"}, + {file = "ipython-8.10.0.tar.gz", hash = "sha256:b13a1d6c1f5818bd388db53b7107d17454129a70de2b87481d555daede5eb49e"}, +] [package.dependencies] appnope = {version = "*", markers = "sys_platform == \"darwin\""} @@ -680,15 +1786,15 @@ jedi = ">=0.16" matplotlib-inline = "*" pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""} pickleshare = "*" -prompt-toolkit = ">3.0.1,<3.1.0" +prompt-toolkit = ">=3.0.30,<3.1.0" pygments = ">=2.4.0" stack-data = "*" traitlets = ">=5" [package.extras] -all = ["black", "Sphinx (>=1.3)", "ipykernel", "nbconvert", "nbformat", "ipywidgets", "notebook", "ipyparallel", "qtconsole", "pytest (<7.1)", "pytest-asyncio", "testpath", "curio", "matplotlib (!=3.2.0)", "numpy (>=1.19)", "pandas", "trio"] +all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] black = ["black"] -doc = ["Sphinx (>=1.3)"] +doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] kernel = ["ipykernel"] nbconvert = ["nbconvert"] nbformat = ["nbformat"] @@ -696,7 +1802,7 @@ notebook = ["ipywidgets", "notebook"] parallel = ["ipyparallel"] qtconsole = ["qtconsole"] test = ["pytest (<7.1)", "pytest-asyncio", "testpath"] -test_extra = ["pytest (<7.1)", "pytest-asyncio", "testpath", "curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "trio"] +test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"] [[package]] name = "ipython-genutils" @@ -705,14 +1811,22 @@ description = "Vestigial utilities from IPython" category = "main" optional = false python-versions = "*" +files = [ + {file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"}, + {file = "ipython_genutils-0.2.0.tar.gz", hash = "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"}, +] [[package]] name = "ipywidgets" -version = "8.0.2" +version = "8.0.4" description = "Jupyter interactive widgets" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "ipywidgets-8.0.4-py3-none-any.whl", hash = "sha256:ebb195e743b16c3947fe8827190fb87b4d00979c0fbf685afe4d2c4927059fa1"}, + {file = "ipywidgets-8.0.4.tar.gz", hash = "sha256:c0005a77a47d77889cafed892b58e33b4a2a96712154404c6548ec22272811ea"}, +] [package.dependencies] ipykernel = ">=4.5.1" @@ -724,6 +1838,21 @@ widgetsnbextension = ">=4.0,<5.0" [package.extras] test = ["jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] +[[package]] +name = "isoduration" +version = "20.11.0" +description = "Operations with ISO 8601 durations" +category = "main" +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 = "2.1.2" @@ -731,21 +1860,30 @@ description = "Safely pass data to untrusted environments and back." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"}, + {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"}, +] [[package]] name = "jedi" -version = "0.18.1" +version = "0.18.2" description = "An autocompletion tool for Python that can be used for text editors." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"}, + {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"}, +] [package.dependencies] parso = ">=0.8.0,<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 (==3.8.3)", "mypy (==0.782)"] -testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"] +testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] [[package]] name = "jinja2" @@ -754,6 +1892,10 @@ description = "A very fast and expressive template engine." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"}, + {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"}, +] [package.dependencies] MarkupSafe = ">=2.0" @@ -768,20 +1910,48 @@ description = "Lightweight pipelining with Python functions" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"}, + {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"}, +] + +[[package]] +name = "jsonpointer" +version = "2.3" +description = "Identify specific nodes in a JSON document (RFC 6901)" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "jsonpointer-2.3-py2.py3-none-any.whl", hash = "sha256:51801e558539b4e9cd268638c078c6c5746c9ac96bc38152d443400e4f3793e9"}, + {file = "jsonpointer-2.3.tar.gz", hash = "sha256:97cba51526c829282218feb99dab1b1e6bdf8efd1c43dc9d57be093c0d69c99a"}, +] [[package]] name = "jsonschema" -version = "4.16.0" +version = "4.17.3" description = "An implementation of JSON Schema validation for Python" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"}, + {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"}, +] [package.dependencies] attrs = ">=17.4.0" +fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""} +isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""} pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" +rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} +uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-nongpl\""} [package.extras] format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] @@ -794,6 +1964,11 @@ description = "Jupyter metapackage. Install all the Jupyter components in one go category = "main" optional = false python-versions = "*" +files = [ + {file = "jupyter-1.0.0-py2.py3-none-any.whl", hash = "sha256:5b290f93b98ffbc21c0c7e749f054b3267782166d72fa5e3ed1ed4eaf34a2b78"}, + {file = "jupyter-1.0.0.tar.gz", hash = "sha256:d9dc4b3318f310e34c82951ea5d6683f67bed7def4b259fafbfe4f1beb1d8e5f"}, + {file = "jupyter-1.0.0.zip", hash = "sha256:3e1f86076bbb7c8c207829390305a2b1fe836d471ed54be66a3b8c41e7f46cc7"}, +] [package.dependencies] ipykernel = "*" @@ -805,86 +1980,154 @@ qtconsole = "*" [[package]] name = "jupyter-client" -version = "7.4.3" +version = "8.0.3" description = "Jupyter protocol implementation and client libraries" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +files = [ + {file = "jupyter_client-8.0.3-py3-none-any.whl", hash = "sha256:be48ac6bd659cbbddb7a674cf06b3b8afbf53f228253cf58bde604c03bd487b0"}, + {file = "jupyter_client-8.0.3.tar.gz", hash = "sha256:ed65498bea6d876ef9d8da3e0db3dd33c5d129f5b2645f56ae03993782966bd0"}, +] [package.dependencies] -entrypoints = "*" -jupyter-core = ">=4.9.2" -nest-asyncio = ">=1.5.4" +importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""} +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" python-dateutil = ">=2.8.2" pyzmq = ">=23.0" tornado = ">=6.2" -traitlets = "*" +traitlets = ">=5.3" [package.extras] -doc = ["ipykernel", "myst-parser", "sphinx-rtd-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt"] -test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"] +docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["codecov", "coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] [[package]] name = "jupyter-console" -version = "6.4.4" +version = "6.6.1" description = "Jupyter terminal console" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "jupyter_console-6.6.1-py3-none-any.whl", hash = "sha256:b32b5cb673a90909911988a2f1906ced005b07e8dadab6c8664d3f5de44a8191"}, + {file = "jupyter_console-6.6.1.tar.gz", hash = "sha256:5931212d5cbc1f956f6fd615755b5e15f389a8eaa697288dbbe4377017615ecc"}, +] [package.dependencies] -ipykernel = "*" +ipykernel = ">=6.14" ipython = "*" jupyter-client = ">=7.0.0" -prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0" +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" +prompt-toolkit = ">=3.0.30" pygments = "*" +pyzmq = ">=17" +traitlets = ">=5.4" [package.extras] -test = ["pexpect"] +test = ["flaky", "pexpect", "pytest"] [[package]] name = "jupyter-core" -version = "4.11.2" +version = "5.2.0" description = "Jupyter core package. A base package on which Jupyter projects rely." category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +files = [ + {file = "jupyter_core-5.2.0-py3-none-any.whl", hash = "sha256:4bdc2928c37f6917130c667d8b8708f20aee539d8283c6be72aabd2a4b4c83b0"}, + {file = "jupyter_core-5.2.0.tar.gz", hash = "sha256:1407cdb4c79ee467696c04b76633fc1884015fa109323365a6372c8e890cc83f"}, +] [package.dependencies] +platformdirs = ">=2.5" pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} -traitlets = "*" +traitlets = ">=5.3" [package.extras] +docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"] +[[package]] +name = "jupyter-events" +version = "0.6.3" +description = "Jupyter Event System library" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyter_events-0.6.3-py3-none-any.whl", hash = "sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17"}, + {file = "jupyter_events-0.6.3.tar.gz", hash = "sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3"}, +] + +[package.dependencies] +jsonschema = {version = ">=3.2.0", extras = ["format-nongpl"]} +python-json-logger = ">=2.0.4" +pyyaml = ">=5.3" +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", "coverage", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "pytest-cov", "rich"] + [[package]] name = "jupyter-server" -version = "1.21.0" +version = "2.3.0" description = "The backendβ€”i.e. core services, APIs, and REST endpointsβ€”to Jupyter web applications." category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +files = [ + {file = "jupyter_server-2.3.0-py3-none-any.whl", hash = "sha256:b15078954120886d580e19d1746e2b62a3dc7bd082cb4716115c25fcd7061b00"}, + {file = "jupyter_server-2.3.0.tar.gz", hash = "sha256:29d6657bfb160b0e39b9030d67f33f918a188f2eba28065314a933b327fef872"}, +] [package.dependencies] -anyio = ">=3.1.0,<4" +anyio = ">=3.1.0" argon2-cffi = "*" jinja2 = "*" -jupyter-client = ">=6.1.12" -jupyter-core = ">=4.7.0" +jupyter-client = ">=7.4.4" +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" +jupyter-events = ">=0.4.0" +jupyter-server-terminals = "*" nbconvert = ">=6.4.4" -nbformat = ">=5.2.0" +nbformat = ">=5.3.0" packaging = "*" prometheus-client = "*" pywinpty = {version = "*", markers = "os_name == \"nt\""} -pyzmq = ">=17" -Send2Trash = "*" +pyzmq = ">=24" +send2trash = "*" terminado = ">=0.8.3" -tornado = ">=6.1.0" -traitlets = ">=5.1" +tornado = ">=6.2.0" +traitlets = ">=5.6.0" websocket-client = "*" [package.extras] -test = ["coverage", "ipykernel", "pre-commit", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "pytest (>=7.0)", "requests"] +docs = ["docutils (<0.20)", "ipykernel", "jinja2", "jupyter-client", "jupyter-server", "mistune (<1.0.0)", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] +test = ["ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.4)", "pytest-timeout", "requests"] + +[[package]] +name = "jupyter-server-terminals" +version = "0.4.4" +description = "A Jupyter Server Extension Providing Terminals." +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server_terminals-0.4.4-py3-none-any.whl", hash = "sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36"}, + {file = "jupyter_server_terminals-0.4.4.tar.gz", hash = "sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d"}, +] + +[package.dependencies] +pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} +terminado = ">=0.8.3" + +[package.extras] +docs = ["jinja2", "jupyter-server", "mistune (<3.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] +test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] [[package]] name = "jupyterlab-pygments" @@ -893,39 +2136,33 @@ description = "Pygments theme using JupyterLab CSS variables" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"}, + {file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"}, +] [[package]] name = "jupyterlab-widgets" -version = "3.0.3" +version = "3.0.5" description = "Jupyter interactive widgets for JupyterLab" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "jupyterlab_widgets-3.0.5-py3-none-any.whl", hash = "sha256:a04a42e50231b355b7087e16a818f541e53589f7647144ea0344c4bf16f300e5"}, + {file = "jupyterlab_widgets-3.0.5.tar.gz", hash = "sha256:eeaecdeaf6c03afc960ddae201ced88d5979b4ca9c3891bcb8f6631af705f5ef"}, +] [[package]] name = "keras" -version = "2.10.0" +version = "2.11.0" description = "Deep learning for humans." category = "main" optional = false -python-versions = "*" - -[[package]] -name = "keras-preprocessing" -version = "1.1.2" -description = "Easy data preprocessing and data augmentation for deep learning models" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -numpy = ">=1.9.1" -six = ">=1.9.0" - -[package.extras] -image = ["scipy (>=0.14)", "Pillow (>=5.2.0)"] -pep8 = ["flake8"] -tests = ["pandas", "pillow", "tensorflow", "keras", "pytest", "pytest-xdist", "pytest-cov"] +python-versions = ">=3.7" +files = [ + {file = "keras-2.11.0-py2.py3-none-any.whl", hash = "sha256:38c6fff0ea9a8b06a2717736565c92a73c8cd9b1c239e7125ccb188b7848f65e"}, +] [[package]] name = "kiwisolver" @@ -934,14 +2171,126 @@ description = "A fast implementation of the Cassowary constraint solver" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"}, + {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"}, + {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ad8285b01b0d4695102546b342b493b3ccc6781fc28c8c6a1bb63e95d22f09"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a68b62a02953b9841730db7797422f983935aeefceb1679f0fc85cbfbd311c32"}, + {file = "kiwisolver-1.4.4-cp310-cp310-win32.whl", hash = "sha256:e92a513161077b53447160b9bd8f522edfbed4bd9759e4c18ab05d7ef7e49408"}, + {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"}, + {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ea21f66820452a3f5d1655f8704a60d66ba1191359b96541eaf457710a5fc6"}, + {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:bc9db8a3efb3e403e4ecc6cd9489ea2bac94244f80c78e27c31dcc00d2790ac2"}, + {file = "kiwisolver-1.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d5b61785a9ce44e5a4b880272baa7cf6c8f48a5180c3e81c59553ba0cb0821ca"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c2dbb44c3f7e6c4d3487b31037b1bdbf424d97687c1747ce4ff2895795c9bf69"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6295ecd49304dcf3bfbfa45d9a081c96509e95f4b9d0eb7ee4ec0530c4a96514"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4bd472dbe5e136f96a4b18f295d159d7f26fd399136f5b17b08c4e5f498cd494"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bf7d9fce9bcc4752ca4a1b80aabd38f6d19009ea5cbda0e0856983cf6d0023f5"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78d6601aed50c74e0ef02f4204da1816147a6d3fbdc8b3872d263338a9052c51"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:877272cf6b4b7e94c9614f9b10140e198d2186363728ed0f701c6eee1baec1da"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:db608a6757adabb32f1cfe6066e39b3706d8c3aa69bbc353a5b61edad36a5cb4"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:5853eb494c71e267912275e5586fe281444eb5e722de4e131cddf9d442615626"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:f0a1dbdb5ecbef0d34eb77e56fcb3e95bbd7e50835d9782a45df81cc46949750"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:283dffbf061a4ec60391d51e6155e372a1f7a4f5b15d59c8505339454f8989e4"}, + {file = "kiwisolver-1.4.4-cp311-cp311-win32.whl", hash = "sha256:d06adcfa62a4431d404c31216f0f8ac97397d799cd53800e9d3efc2fbb3cf14e"}, + {file = "kiwisolver-1.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:e7da3fec7408813a7cebc9e4ec55afed2d0fd65c4754bc376bf03498d4e92686"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:62ac9cc684da4cf1778d07a89bf5f81b35834cb96ca523d3a7fb32509380cbf6"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41dae968a94b1ef1897cb322b39360a0812661dba7c682aa45098eb8e193dbdf"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d0611a0a2a518464c05ddd5a3a1a0e856ccc10e67079bb17f265ad19ab3c7597"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:db5283d90da4174865d520e7366801a93777201e91e79bacbac6e6927cbceede"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1041feb4cda8708ce73bb4dcb9ce1ccf49d553bf87c3954bdfa46f0c3f77252c"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-win32.whl", hash = "sha256:a553dadda40fef6bfa1456dc4be49b113aa92c2a9a9e8711e955618cd69622e3"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-win_amd64.whl", hash = "sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166"}, + {file = "kiwisolver-1.4.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:841293b17ad704d70c578f1f0013c890e219952169ce8a24ebc063eecf775454"}, + {file = "kiwisolver-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f4f270de01dd3e129a72efad823da90cc4d6aafb64c410c9033aba70db9f1ff0"}, + {file = "kiwisolver-1.4.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f9f39e2f049db33a908319cf46624a569b36983c7c78318e9726a4cb8923b26c"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c97528e64cb9ebeff9701e7938653a9951922f2a38bd847787d4a8e498cc83ae"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d1573129aa0fd901076e2bfb4275a35f5b7aa60fbfb984499d661ec950320b0"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ad881edc7ccb9d65b0224f4e4d05a1e85cf62d73aab798943df6d48ab0cd79a1"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b428ef021242344340460fa4c9185d0b1f66fbdbfecc6c63eff4b7c29fad429d"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:2e407cb4bd5a13984a6c2c0fe1845e4e41e96f183e5e5cd4d77a857d9693494c"}, + {file = "kiwisolver-1.4.4-cp38-cp38-win32.whl", hash = "sha256:75facbe9606748f43428fc91a43edb46c7ff68889b91fa31f53b58894503a191"}, + {file = "kiwisolver-1.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:5bce61af018b0cb2055e0e72e7d65290d822d3feee430b7b8203d8a855e78766"}, + {file = "kiwisolver-1.4.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8c808594c88a025d4e322d5bb549282c93c8e1ba71b790f539567932722d7bd8"}, + {file = "kiwisolver-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f0a71d85ecdd570ded8ac3d1c0f480842f49a40beb423bb8014539a9f32a5897"}, + {file = "kiwisolver-1.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b533558eae785e33e8c148a8d9921692a9fe5aa516efbdff8606e7d87b9d5824"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:efda5fc8cc1c61e4f639b8067d118e742b812c930f708e6667a5ce0d13499e29"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7c43e1e1206cd421cd92e6b3280d4385d41d7166b3ed577ac20444b6995a445f"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc8d3bd6c72b2dd9decf16ce70e20abcb3274ba01b4e1c96031e0c4067d1e7cd"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4ea39b0ccc4f5d803e3337dd46bcce60b702be4d86fd0b3d7531ef10fd99a1ac"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:968f44fdbf6dd757d12920d63b566eeb4d5b395fd2d00d29d7ef00a00582aac9"}, + {file = "kiwisolver-1.4.4-cp39-cp39-win32.whl", hash = "sha256:da7e547706e69e45d95e116e6939488d62174e033b763ab1496b4c29b76fabea"}, + {file = "kiwisolver-1.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:ba59c92039ec0a66103b1d5fe588fa546373587a7d68f5c96f743c3396afc04b"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:91672bacaa030f92fc2f43b620d7b337fd9a5af28b0d6ed3f77afc43c4a64b5a"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:787518a6789009c159453da4d6b683f468ef7a65bbde796bcea803ccf191058d"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da152d8cdcab0e56e4f45eb08b9aea6455845ec83172092f09b0e077ece2cf7a"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ecb1fa0db7bf4cff9dac752abb19505a233c7f16684c5826d1f11ebd9472b871"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:28bc5b299f48150b5f822ce68624e445040595a4ac3d59251703779836eceff9"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:81e38381b782cc7e1e46c4e14cd997ee6040768101aefc8fa3c24a4cc58e98f8"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2a66fdfb34e05b705620dd567f5a03f239a088d5a3f321e7b6ac3239d22aa286"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:872b8ca05c40d309ed13eb2e582cab0c5a05e81e987ab9c521bf05ad1d5cf5cb"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:70e7c2e7b750585569564e2e5ca9845acfaa5da56ac46df68414f29fea97be9f"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9f85003f5dfa867e86d53fac6f7e6f30c045673fa27b603c397753bebadc3008"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e307eb9bd99801f82789b44bb45e9f541961831c7311521b13a6c85afc09767"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1792d939ec70abe76f5054d3f36ed5656021dcad1322d1cc996d4e54165cef9"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6cb459eea32a4e2cf18ba5fcece2dbdf496384413bc1bae15583f19e567f3b2"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36dafec3d6d6088d34e2de6b85f9d8e2324eb734162fba59d2ba9ed7a2043d5b"}, + {file = "kiwisolver-1.4.4.tar.gz", hash = "sha256:d41997519fcba4a1e46eb4a2fe31bc12f0ff957b2b81bac28db24744f333e955"}, +] [[package]] name = "libclang" -version = "14.0.6" +version = "15.0.6.1" description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier." category = "main" optional = false python-versions = "*" +files = [ + {file = "libclang-15.0.6.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:8621795e07b87e17fc7aac9f071bc7fe6b52ed6110c0a96a9975d8113c8c2527"}, + {file = "libclang-15.0.6.1-py2.py3-none-manylinux2010_x86_64.whl", hash = "sha256:69b01a23ab543908a661532595daa23cf88bd96d80e41f58ba0eaa6a378fe0d8"}, + {file = "libclang-15.0.6.1-py2.py3-none-manylinux2014_aarch64.whl", hash = "sha256:4a5188184b937132c198ee9de9a8a2316d5fdd1a825398d5ad1a8f5e06f9b40e"}, + {file = "libclang-15.0.6.1-py2.py3-none-manylinux2014_armv7l.whl", hash = "sha256:f7ffa02ac5e586cfffde039dcccc439d88d0feac7d77bf9426d9ba7543d16545"}, + {file = "libclang-15.0.6.1-py2.py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:aaebb6aa1db73bac3a0ac41e57ef78743079eb68728adbf7e80ee917ae171529"}, + {file = "libclang-15.0.6.1-py2.py3-none-win_amd64.whl", hash = "sha256:85afb47630d2070e74b886040ceea1846097ca53cc88d0f1d7751d0f49220028"}, + {file = "libclang-15.0.6.1-py2.py3-none-win_arm64.whl", hash = "sha256:687d8549c110c700fece58dd87727421d0710fdd111aa7eecb01faf8e3f50d4e"}, + {file = "libclang-15.0.6.1.tar.gz", hash = "sha256:a1a8fe038af2962c787c5bac81bfa4b82bb8e279e61e70cc934c10f6e20c73ec"}, +] + +[[package]] +name = "linkify-it-py" +version = "2.0.0" +description = "Links recognition library with FULL unicode support." +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "linkify-it-py-2.0.0.tar.gz", hash = "sha256:476464480906bed8b2fa3813bf55566282e55214ad7e41b7d1c2b564666caf2f"}, + {file = "linkify_it_py-2.0.0-py3-none-any.whl", hash = "sha256:1bff43823e24e507a099e328fc54696124423dd6320c75a9da45b4b754b748ad"}, +] + +[package.dependencies] +uc-micro-py = "*" + +[package.extras] +benchmark = ["pytest", "pytest-benchmark"] +dev = ["black", "flake8", "isort", "pre-commit"] +doc = ["myst-parser", "sphinx", "sphinx-book-theme"] +test = ["coverage", "pytest", "pytest-cov"] + +[[package]] +name = "lit" +version = "15.0.7" +description = "A Software Testing Tool" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "lit-15.0.7.tar.gz", hash = "sha256:ed08ac55afe714a193653df293ae8a6ee6c45d6fb11eeca72ce347d99b88ecc8"}, +] [[package]] name = "llvmlite" @@ -950,19 +2299,128 @@ description = "lightweight wrapper around basic LLVM functionality" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6717c7a6e93c9d2c3d07c07113ec80ae24af45cde536b34363d4bcd9188091d9"}, + {file = "llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ddab526c5a2c4ccb8c9ec4821fcea7606933dc53f510e2a6eebb45a418d3488a"}, + {file = "llvmlite-0.39.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a3f331a323d0f0ada6b10d60182ef06c20a2f01be21699999d204c5750ffd0b4"}, + {file = "llvmlite-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2c00ff204afa721b0bb9835b5bf1ba7fba210eefcec5552a9e05a63219ba0dc"}, + {file = "llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:16f56eb1eec3cda3a5c526bc3f63594fc24e0c8d219375afeb336f289764c6c7"}, + {file = "llvmlite-0.39.1-cp310-cp310-win32.whl", hash = "sha256:d0bfd18c324549c0fec2c5dc610fd024689de6f27c6cc67e4e24a07541d6e49b"}, + {file = "llvmlite-0.39.1-cp310-cp310-win_amd64.whl", hash = "sha256:7ebf1eb9badc2a397d4f6a6c8717447c81ac011db00064a00408bc83c923c0e4"}, + {file = "llvmlite-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6546bed4e02a1c3d53a22a0bced254b3b6894693318b16c16c8e43e29d6befb6"}, + {file = "llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1578f5000fdce513712e99543c50e93758a954297575610f48cb1fd71b27c08a"}, + {file = "llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3803f11ad5f6f6c3d2b545a303d68d9fabb1d50e06a8d6418e6fcd2d0df00959"}, + {file = "llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50aea09a2b933dab7c9df92361b1844ad3145bfb8dd2deb9cd8b8917d59306fb"}, + {file = "llvmlite-0.39.1-cp37-cp37m-win32.whl", hash = "sha256:b1a0bbdb274fb683f993198775b957d29a6f07b45d184c571ef2a721ce4388cf"}, + {file = "llvmlite-0.39.1-cp37-cp37m-win_amd64.whl", hash = "sha256:e172c73fccf7d6db4bd6f7de963dedded900d1a5c6778733241d878ba613980e"}, + {file = "llvmlite-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e31f4b799d530255aaf0566e3da2df5bfc35d3cd9d6d5a3dcc251663656c27b1"}, + {file = "llvmlite-0.39.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:62c0ea22e0b9dffb020601bb65cb11dd967a095a488be73f07d8867f4e327ca5"}, + {file = "llvmlite-0.39.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ffc84ade195abd4abcf0bd3b827b9140ae9ef90999429b9ea84d5df69c9058c"}, + {file = "llvmlite-0.39.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c0f158e4708dda6367d21cf15afc58de4ebce979c7a1aa2f6b977aae737e2a54"}, + {file = "llvmlite-0.39.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22d36591cd5d02038912321d9ab8e4668e53ae2211da5523f454e992b5e13c36"}, + {file = "llvmlite-0.39.1-cp38-cp38-win32.whl", hash = "sha256:4c6ebace910410daf0bebda09c1859504fc2f33d122e9a971c4c349c89cca630"}, + {file = "llvmlite-0.39.1-cp38-cp38-win_amd64.whl", hash = "sha256:fb62fc7016b592435d3e3a8f680e3ea8897c3c9e62e6e6cc58011e7a4801439e"}, + {file = "llvmlite-0.39.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fa9b26939ae553bf30a9f5c4c754db0fb2d2677327f2511e674aa2f5df941789"}, + {file = "llvmlite-0.39.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e4f212c018db951da3e1dc25c2651abc688221934739721f2dad5ff1dd5f90e7"}, + {file = "llvmlite-0.39.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39dc2160aed36e989610fc403487f11b8764b6650017ff367e45384dff88ffbf"}, + {file = "llvmlite-0.39.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1ec3d70b3e507515936e475d9811305f52d049281eaa6c8273448a61c9b5b7e2"}, + {file = "llvmlite-0.39.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60f8dd1e76f47b3dbdee4b38d9189f3e020d22a173c00f930b52131001d801f9"}, + {file = "llvmlite-0.39.1-cp39-cp39-win32.whl", hash = "sha256:03aee0ccd81735696474dc4f8b6be60774892a2929d6c05d093d17392c237f32"}, + {file = "llvmlite-0.39.1-cp39-cp39-win_amd64.whl", hash = "sha256:3fc14e757bc07a919221f0cbaacb512704ce5774d7fcada793f1996d6bc75f2a"}, + {file = "llvmlite-0.39.1.tar.gz", hash = "sha256:b43abd7c82e805261c425d50335be9a6c4f84264e34d6d6e475207300005d572"}, +] [[package]] name = "lxml" -version = "4.9.1" +version = "4.9.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*" +files = [ + {file = "lxml-4.9.2-cp27-cp27m-macosx_10_15_x86_64.whl", hash = "sha256:76cf573e5a365e790396a5cc2b909812633409306c6531a6877c59061e42c4f2"}, + {file = "lxml-4.9.2-cp27-cp27m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b1f42b6921d0e81b1bcb5e395bc091a70f41c4d4e55ba99c6da2b31626c44892"}, + {file = "lxml-4.9.2-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:9f102706d0ca011de571de32c3247c6476b55bb6bc65a20f682f000b07a4852a"}, + {file = "lxml-4.9.2-cp27-cp27m-win32.whl", hash = "sha256:8d0b4612b66ff5d62d03bcaa043bb018f74dfea51184e53f067e6fdcba4bd8de"}, + {file = "lxml-4.9.2-cp27-cp27m-win_amd64.whl", hash = "sha256:4c8f293f14abc8fd3e8e01c5bd86e6ed0b6ef71936ded5bf10fe7a5efefbaca3"}, + {file = "lxml-4.9.2-cp27-cp27mu-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2899456259589aa38bfb018c364d6ae7b53c5c22d8e27d0ec7609c2a1ff78b50"}, + {file = "lxml-4.9.2-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6749649eecd6a9871cae297bffa4ee76f90b4504a2a2ab528d9ebe912b101975"}, + {file = "lxml-4.9.2-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:a08cff61517ee26cb56f1e949cca38caabe9ea9fbb4b1e10a805dc39844b7d5c"}, + {file = "lxml-4.9.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:85cabf64adec449132e55616e7ca3e1000ab449d1d0f9d7f83146ed5bdcb6d8a"}, + {file = "lxml-4.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:8340225bd5e7a701c0fa98284c849c9b9fc9238abf53a0ebd90900f25d39a4e4"}, + {file = "lxml-4.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:1ab8f1f932e8f82355e75dda5413a57612c6ea448069d4fb2e217e9a4bed13d4"}, + {file = "lxml-4.9.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:699a9af7dffaf67deeae27b2112aa06b41c370d5e7633e0ee0aea2e0b6c211f7"}, + {file = "lxml-4.9.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b9cc34af337a97d470040f99ba4282f6e6bac88407d021688a5d585e44a23184"}, + {file = "lxml-4.9.2-cp310-cp310-win32.whl", hash = "sha256:d02a5399126a53492415d4906ab0ad0375a5456cc05c3fc0fc4ca11771745cda"}, + {file = "lxml-4.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:a38486985ca49cfa574a507e7a2215c0c780fd1778bb6290c21193b7211702ab"}, + {file = "lxml-4.9.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:c83203addf554215463b59f6399835201999b5e48019dc17f182ed5ad87205c9"}, + {file = "lxml-4.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:2a87fa548561d2f4643c99cd13131acb607ddabb70682dcf1dff5f71f781a4bf"}, + {file = "lxml-4.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:d6b430a9938a5a5d85fc107d852262ddcd48602c120e3dbb02137c83d212b380"}, + {file = "lxml-4.9.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3efea981d956a6f7173b4659849f55081867cf897e719f57383698af6f618a92"}, + {file = "lxml-4.9.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:df0623dcf9668ad0445e0558a21211d4e9a149ea8f5666917c8eeec515f0a6d1"}, + {file = "lxml-4.9.2-cp311-cp311-win32.whl", hash = "sha256:da248f93f0418a9e9d94b0080d7ebc407a9a5e6d0b57bb30db9b5cc28de1ad33"}, + {file = "lxml-4.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:3818b8e2c4b5148567e1b09ce739006acfaa44ce3156f8cbbc11062994b8e8dd"}, + {file = "lxml-4.9.2-cp35-cp35m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ca989b91cf3a3ba28930a9fc1e9aeafc2a395448641df1f387a2d394638943b0"}, + {file = "lxml-4.9.2-cp35-cp35m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:822068f85e12a6e292803e112ab876bc03ed1f03dddb80154c395f891ca6b31e"}, + {file = "lxml-4.9.2-cp35-cp35m-win32.whl", hash = "sha256:be7292c55101e22f2a3d4d8913944cbea71eea90792bf914add27454a13905df"}, + {file = "lxml-4.9.2-cp35-cp35m-win_amd64.whl", hash = "sha256:998c7c41910666d2976928c38ea96a70d1aa43be6fe502f21a651e17483a43c5"}, + {file = "lxml-4.9.2-cp36-cp36m-macosx_10_15_x86_64.whl", hash = "sha256:b26a29f0b7fc6f0897f043ca366142d2b609dc60756ee6e4e90b5f762c6adc53"}, + {file = "lxml-4.9.2-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:ab323679b8b3030000f2be63e22cdeea5b47ee0abd2d6a1dc0c8103ddaa56cd7"}, + {file = "lxml-4.9.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:689bb688a1db722485e4610a503e3e9210dcc20c520b45ac8f7533c837be76fe"}, + {file = "lxml-4.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:f49e52d174375a7def9915c9f06ec4e569d235ad428f70751765f48d5926678c"}, + {file = "lxml-4.9.2-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:36c3c175d34652a35475a73762b545f4527aec044910a651d2bf50de9c3352b1"}, + {file = "lxml-4.9.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a35f8b7fa99f90dd2f5dc5a9fa12332642f087a7641289ca6c40d6e1a2637d8e"}, + {file = "lxml-4.9.2-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:58bfa3aa19ca4c0f28c5dde0ff56c520fbac6f0daf4fac66ed4c8d2fb7f22e74"}, + {file = "lxml-4.9.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:bc718cd47b765e790eecb74d044cc8d37d58562f6c314ee9484df26276d36a38"}, + {file = "lxml-4.9.2-cp36-cp36m-win32.whl", hash = "sha256:d5bf6545cd27aaa8a13033ce56354ed9e25ab0e4ac3b5392b763d8d04b08e0c5"}, + {file = "lxml-4.9.2-cp36-cp36m-win_amd64.whl", hash = "sha256:3ab9fa9d6dc2a7f29d7affdf3edebf6ece6fb28a6d80b14c3b2fb9d39b9322c3"}, + {file = "lxml-4.9.2-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:05ca3f6abf5cf78fe053da9b1166e062ade3fa5d4f92b4ed688127ea7d7b1d03"}, + {file = "lxml-4.9.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:a5da296eb617d18e497bcf0a5c528f5d3b18dadb3619fbdadf4ed2356ef8d941"}, + {file = "lxml-4.9.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:04876580c050a8c5341d706dd464ff04fd597095cc8c023252566a8826505726"}, + {file = "lxml-4.9.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:c9ec3eaf616d67db0764b3bb983962b4f385a1f08304fd30c7283954e6a7869b"}, + {file = "lxml-4.9.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2a29ba94d065945944016b6b74e538bdb1751a1db6ffb80c9d3c2e40d6fa9894"}, + {file = "lxml-4.9.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a82d05da00a58b8e4c0008edbc8a4b6ec5a4bc1e2ee0fb6ed157cf634ed7fa45"}, + {file = "lxml-4.9.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:223f4232855ade399bd409331e6ca70fb5578efef22cf4069a6090acc0f53c0e"}, + {file = "lxml-4.9.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d17bc7c2ccf49c478c5bdd447594e82692c74222698cfc9b5daae7ae7e90743b"}, + {file = "lxml-4.9.2-cp37-cp37m-win32.whl", hash = "sha256:b64d891da92e232c36976c80ed7ebb383e3f148489796d8d31a5b6a677825efe"}, + {file = "lxml-4.9.2-cp37-cp37m-win_amd64.whl", hash = "sha256:a0a336d6d3e8b234a3aae3c674873d8f0e720b76bc1d9416866c41cd9500ffb9"}, + {file = "lxml-4.9.2-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:da4dd7c9c50c059aba52b3524f84d7de956f7fef88f0bafcf4ad7dde94a064e8"}, + {file = "lxml-4.9.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:821b7f59b99551c69c85a6039c65b75f5683bdc63270fec660f75da67469ca24"}, + {file = "lxml-4.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:e5168986b90a8d1f2f9dc1b841467c74221bd752537b99761a93d2d981e04889"}, + {file = "lxml-4.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:8e20cb5a47247e383cf4ff523205060991021233ebd6f924bca927fcf25cf86f"}, + {file = "lxml-4.9.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:13598ecfbd2e86ea7ae45ec28a2a54fb87ee9b9fdb0f6d343297d8e548392c03"}, + {file = "lxml-4.9.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:880bbbcbe2fca64e2f4d8e04db47bcdf504936fa2b33933efd945e1b429bea8c"}, + {file = "lxml-4.9.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7d2278d59425777cfcb19735018d897ca8303abe67cc735f9f97177ceff8027f"}, + {file = "lxml-4.9.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5344a43228767f53a9df6e5b253f8cdca7dfc7b7aeae52551958192f56d98457"}, + {file = "lxml-4.9.2-cp38-cp38-win32.whl", hash = "sha256:925073b2fe14ab9b87e73f9a5fde6ce6392da430f3004d8b72cc86f746f5163b"}, + {file = "lxml-4.9.2-cp38-cp38-win_amd64.whl", hash = "sha256:9b22c5c66f67ae00c0199f6055705bc3eb3fcb08d03d2ec4059a2b1b25ed48d7"}, + {file = "lxml-4.9.2-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:5f50a1c177e2fa3ee0667a5ab79fdc6b23086bc8b589d90b93b4bd17eb0e64d1"}, + {file = "lxml-4.9.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:090c6543d3696cbe15b4ac6e175e576bcc3f1ccfbba970061b7300b0c15a2140"}, + {file = "lxml-4.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:63da2ccc0857c311d764e7d3d90f429c252e83b52d1f8f1d1fe55be26827d1f4"}, + {file = "lxml-4.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:5b4545b8a40478183ac06c073e81a5ce4cf01bf1734962577cf2bb569a5b3bbf"}, + {file = "lxml-4.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2e430cd2824f05f2d4f687701144556646bae8f249fd60aa1e4c768ba7018947"}, + {file = "lxml-4.9.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6804daeb7ef69e7b36f76caddb85cccd63d0c56dedb47555d2fc969e2af6a1a5"}, + {file = "lxml-4.9.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a6e441a86553c310258aca15d1c05903aaf4965b23f3bc2d55f200804e005ee5"}, + {file = "lxml-4.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ca34efc80a29351897e18888c71c6aca4a359247c87e0b1c7ada14f0ab0c0fb2"}, + {file = "lxml-4.9.2-cp39-cp39-win32.whl", hash = "sha256:6b418afe5df18233fc6b6093deb82a32895b6bb0b1155c2cdb05203f583053f1"}, + {file = "lxml-4.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:f1496ea22ca2c830cbcbd473de8f114a320da308438ae65abad6bab7867fe38f"}, + {file = "lxml-4.9.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:b264171e3143d842ded311b7dccd46ff9ef34247129ff5bf5066123c55c2431c"}, + {file = "lxml-4.9.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:0dc313ef231edf866912e9d8f5a042ddab56c752619e92dfd3a2c277e6a7299a"}, + {file = "lxml-4.9.2-pp38-pypy38_pp73-macosx_10_15_x86_64.whl", hash = "sha256:16efd54337136e8cd72fb9485c368d91d77a47ee2d42b057564aae201257d419"}, + {file = "lxml-4.9.2-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:0f2b1e0d79180f344ff9f321327b005ca043a50ece8713de61d1cb383fb8ac05"}, + {file = "lxml-4.9.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:7b770ed79542ed52c519119473898198761d78beb24b107acf3ad65deae61f1f"}, + {file = "lxml-4.9.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:efa29c2fe6b4fdd32e8ef81c1528506895eca86e1d8c4657fda04c9b3786ddf9"}, + {file = "lxml-4.9.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7e91ee82f4199af8c43d8158024cbdff3d931df350252288f0d4ce656df7f3b5"}, + {file = "lxml-4.9.2-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:b23e19989c355ca854276178a0463951a653309fb8e57ce674497f2d9f208746"}, + {file = "lxml-4.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:01d36c05f4afb8f7c20fd9ed5badca32a2029b93b1750f571ccc0b142531caf7"}, + {file = "lxml-4.9.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7b515674acfdcadb0eb5d00d8a709868173acece5cb0be3dd165950cbfdf5409"}, + {file = "lxml-4.9.2.tar.gz", hash = "sha256:2455cfaeb7ac70338b3257f41e21f0724f4b5b0c0e7702da67ee6c3640835b67"}, +] [package.extras] cssselect = ["cssselect (>=0.7)"] html5 = ["html5lib"] -htmlsoup = ["beautifulsoup4"] +htmlsoup = ["BeautifulSoup4"] source = ["Cython (>=0.29.7)"] [[package]] @@ -972,6 +2430,10 @@ description = "Python implementation of Markdown." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "Markdown-3.3.7-py3-none-any.whl", hash = "sha256:f5da449a6e1c989a4cea2631aa8ee67caa5a2ef855d551c88f9e309f4634c621"}, + {file = "Markdown-3.3.7.tar.gz", hash = "sha256:cbb516f16218e643d8e0a95b309f77eb118cb138d39a4f27851e6a63581db874"}, +] [package.dependencies] importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""} @@ -979,33 +2441,154 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""} [package.extras] testing = ["coverage", "pyyaml"] +[[package]] +name = "markdown-it-py" +version = "2.2.0" +description = "Python port of markdown-it. Markdown parsing, done right!" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "markdown-it-py-2.2.0.tar.gz", hash = "sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1"}, + {file = "markdown_it_py-2.2.0-py3-none-any.whl", hash = "sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30"}, +] + +[package.dependencies] +linkify-it-py = {version = ">=1,<3", optional = true, markers = "extra == \"linkify\""} +mdurl = ">=0.1,<1.0" + +[package.extras] +benchmarking = ["psutil", "pytest", "pytest-benchmark"] +code-style = ["pre-commit (>=3.0,<4.0)"] +compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"] +linkify = ["linkify-it-py (>=1,<3)"] +plugins = ["mdit-py-plugins"] +profiling = ["gprof2dot"] +rtd = ["attrs", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] +testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] + [[package]] name = "markupsafe" -version = "2.1.1" +version = "2.1.2" description = "Safely add untrusted strings to HTML/XML markup." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "MarkupSafe-2.1.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:665a36ae6f8f20a4676b53224e33d456a6f5a72657d9c83c2aa00765072f31f7"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:340bea174e9761308703ae988e982005aedf427de816d1afe98147668cc03036"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22152d00bf4a9c7c83960521fc558f55a1adbc0631fbb00a9471e097b19d72e1"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28057e985dace2f478e042eaa15606c7efccb700797660629da387eb289b9323"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca244fa73f50a800cf8c3ebf7fd93149ec37f5cb9596aa8873ae2c1d23498601"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d9d971ec1e79906046aa3ca266de79eac42f1dbf3612a05dc9368125952bd1a1"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:7e007132af78ea9df29495dbf7b5824cb71648d7133cf7848a2a5dd00d36f9ff"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7313ce6a199651c4ed9d7e4cfb4aa56fe923b1adf9af3b420ee14e6d9a73df65"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-win32.whl", hash = "sha256:c4a549890a45f57f1ebf99c067a4ad0cb423a05544accaf2b065246827ed9603"}, + {file = "MarkupSafe-2.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:835fb5e38fd89328e9c81067fd642b3593c33e1e17e2fdbf77f5676abb14a156"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2ec4f2d48ae59bbb9d1f9d7efb9236ab81429a764dedca114f5fdabbc3788013"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:608e7073dfa9e38a85d38474c082d4281f4ce276ac0010224eaba11e929dd53a"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:65608c35bfb8a76763f37036547f7adfd09270fbdbf96608be2bead319728fcd"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2bfb563d0211ce16b63c7cb9395d2c682a23187f54c3d79bfec33e6705473c6"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:da25303d91526aac3672ee6d49a2f3db2d9502a4a60b55519feb1a4c7714e07d"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:9cad97ab29dfc3f0249b483412c85c8ef4766d96cdf9dcf5a1e3caa3f3661cf1"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:085fd3201e7b12809f9e6e9bc1e5c96a368c8523fad5afb02afe3c051ae4afcc"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1bea30e9bf331f3fef67e0a3877b2288593c98a21ccb2cf29b74c581a4eb3af0"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-win32.whl", hash = "sha256:7df70907e00c970c60b9ef2938d894a9381f38e6b9db73c5be35e59d92e06625"}, + {file = "MarkupSafe-2.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:e55e40ff0cc8cc5c07996915ad367fa47da6b3fc091fdadca7f5403239c5fec3"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a6e40afa7f45939ca356f348c8e23048e02cb109ced1eb8420961b2f40fb373a"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf877ab4ed6e302ec1d04952ca358b381a882fbd9d1b07cccbfd61783561f98a"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63ba06c9941e46fa389d389644e2d8225e0e3e5ebcc4ff1ea8506dce646f8c8a"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f1cd098434e83e656abf198f103a8207a8187c0fc110306691a2e94a78d0abb2"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:55f44b440d491028addb3b88f72207d71eeebfb7b5dbf0643f7c023ae1fba619"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:a6f2fcca746e8d5910e18782f976489939d54a91f9411c32051b4aab2bd7c513"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:0b462104ba25f1ac006fdab8b6a01ebbfbce9ed37fd37fd4acd70c67c973e460"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-win32.whl", hash = "sha256:7668b52e102d0ed87cb082380a7e2e1e78737ddecdde129acadb0eccc5423859"}, + {file = "MarkupSafe-2.1.2-cp37-cp37m-win_amd64.whl", hash = "sha256:6d6607f98fcf17e534162f0709aaad3ab7a96032723d8ac8750ffe17ae5a0666"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a806db027852538d2ad7555b203300173dd1b77ba116de92da9afbc3a3be3eed"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a4abaec6ca3ad8660690236d11bfe28dfd707778e2442b45addd2f086d6ef094"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f03a532d7dee1bed20bc4884194a16160a2de9ffc6354b3878ec9682bb623c54"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4cf06cdc1dda95223e9d2d3c58d3b178aa5dacb35ee7e3bbac10e4e1faacb419"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22731d79ed2eb25059ae3df1dfc9cb1546691cc41f4e3130fe6bfbc3ecbbecfa"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f8ffb705ffcf5ddd0e80b65ddf7bed7ee4f5a441ea7d3419e861a12eaf41af58"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8db032bf0ce9022a8e41a22598eefc802314e81b879ae093f36ce9ddf39ab1ba"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2298c859cfc5463f1b64bd55cb3e602528db6fa0f3cfd568d3605c50678f8f03"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-win32.whl", hash = "sha256:50c42830a633fa0cf9e7d27664637532791bfc31c731a87b202d2d8ac40c3ea2"}, + {file = "MarkupSafe-2.1.2-cp38-cp38-win_amd64.whl", hash = "sha256:bb06feb762bade6bf3c8b844462274db0c76acc95c52abe8dbed28ae3d44a147"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:99625a92da8229df6d44335e6fcc558a5037dd0a760e11d84be2260e6f37002f"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8bca7e26c1dd751236cfb0c6c72d4ad61d986e9a41bbf76cb445f69488b2a2bd"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40627dcf047dadb22cd25ea7ecfe9cbf3bbbad0482ee5920b582f3809c97654f"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40dfd3fefbef579ee058f139733ac336312663c6706d1163b82b3003fb1925c4"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:090376d812fb6ac5f171e5938e82e7f2d7adc2b629101cec0db8b267815c85e2"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2e7821bffe00aa6bd07a23913b7f4e01328c3d5cc0b40b36c0bd81d362faeb65"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c0a33bc9f02c2b17c3ea382f91b4db0e6cde90b63b296422a939886a7a80de1c"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b8526c6d437855442cdd3d87eede9c425c4445ea011ca38d937db299382e6fa3"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-win32.whl", hash = "sha256:137678c63c977754abe9086a3ec011e8fd985ab90631145dfb9294ad09c102a7"}, + {file = "MarkupSafe-2.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:0576fe974b40a400449768941d5d0858cc624e3249dfd1e0c33674e5c7ca7aed"}, + {file = "MarkupSafe-2.1.2.tar.gz", hash = "sha256:abcabc8c2b26036d62d4c746381a6f7cf60aafcc653198ad678306986b09450d"}, +] [[package]] name = "matplotlib" -version = "3.6.2" +version = "3.7.0" description = "Python plotting package" category = "main" optional = false python-versions = ">=3.8" +files = [ + {file = "matplotlib-3.7.0-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:3da8b9618188346239e51f1ea6c0f8f05c6e218cfcc30b399dd7dd7f52e8bceb"}, + {file = "matplotlib-3.7.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c0592ba57217c22987b7322df10f75ef95bc44dce781692b4b7524085de66019"}, + {file = "matplotlib-3.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:21269450243d6928da81a9bed201f0909432a74e7d0d65db5545b9fa8a0d0223"}, + {file = "matplotlib-3.7.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb2e76cd429058d8954121c334dddfcd11a6186c6975bca61f3f248c99031b05"}, + {file = "matplotlib-3.7.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de20eb1247725a2f889173d391a6d9e7e0f2540feda24030748283108b0478ec"}, + {file = "matplotlib-3.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5465735eaaafd1cfaec3fed60aee776aeb3fd3992aa2e49f4635339c931d443"}, + {file = "matplotlib-3.7.0-cp310-cp310-win32.whl", hash = "sha256:092e6abc80cdf8a95f7d1813e16c0e99ceda8d5b195a3ab859c680f3487b80a2"}, + {file = "matplotlib-3.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:4f640534ec2760e270801056bc0d8a10777c48b30966eef78a7c35d8590915ba"}, + {file = "matplotlib-3.7.0-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:f336e7014889c38c59029ebacc35c59236a852e4b23836708cfd3f43d1eaeed5"}, + {file = "matplotlib-3.7.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:3a10428d4f8d1a478ceabd652e61a175b2fdeed4175ab48da4a7b8deb561e3fa"}, + {file = "matplotlib-3.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46ca923e980f76d34c1c633343a72bb042d6ba690ecc649aababf5317997171d"}, + {file = "matplotlib-3.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c849aa94ff2a70fb71f318f48a61076d1205c6013b9d3885ade7f992093ac434"}, + {file = "matplotlib-3.7.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:827e78239292e561cfb70abf356a9d7eaf5bf6a85c97877f254009f20b892f89"}, + {file = "matplotlib-3.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:691ef1f15360e439886186d0db77b5345b24da12cbc4fc57b26c4826db4d6cab"}, + {file = "matplotlib-3.7.0-cp311-cp311-win32.whl", hash = "sha256:21a8aeac39b4a795e697265d800ce52ab59bdeb6bb23082e2d971f3041074f02"}, + {file = "matplotlib-3.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:01681566e95b9423021b49dea6a2395c16fa054604eacb87f0f4c439750f9114"}, + {file = "matplotlib-3.7.0-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:cf119eee4e57389fba5ac8b816934e95c256535e55f0b21628b4205737d1de85"}, + {file = "matplotlib-3.7.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:21bd4033c40b95abd5b8453f036ed5aa70856e56ecbd887705c37dce007a4c21"}, + {file = "matplotlib-3.7.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:111ef351f28fd823ed7177632070a6badd6f475607122bc9002a526f2502a0b5"}, + {file = "matplotlib-3.7.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f91d35b3ef51d29d9c661069b9e4ba431ce283ffc533b981506889e144b5b40e"}, + {file = "matplotlib-3.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:0a776462a4a63c0bfc9df106c15a0897aa2dbab6795c693aa366e8e283958854"}, + {file = "matplotlib-3.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0dfd4a0cbd151f6439e6d7f8dca5292839ca311e7e650596d073774847ca2e4f"}, + {file = "matplotlib-3.7.0-cp38-cp38-win32.whl", hash = "sha256:56b7b79488209041a9bf7ddc34f1b069274489ce69e34dc63ae241d0d6b4b736"}, + {file = "matplotlib-3.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:8665855f3919c80551f377bc16df618ceabf3ef65270bc14b60302dce88ca9ab"}, + {file = "matplotlib-3.7.0-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:f910d924da8b9fb066b5beae0b85e34ed1b6293014892baadcf2a51da1c65807"}, + {file = "matplotlib-3.7.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:cf6346644e8fe234dc847e6232145dac199a650d3d8025b3ef65107221584ba4"}, + {file = "matplotlib-3.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3d1e52365d8d5af699f04581ca191112e1d1220a9ce4386b57d807124d8b55e6"}, + {file = "matplotlib-3.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c869b646489c6a94375714032e5cec08e3aa8d3f7d4e8ef2b0fb50a52b317ce6"}, + {file = "matplotlib-3.7.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f4ddac5f59e78d04b20469bc43853a8e619bb6505c7eac8ffb343ff2c516d72f"}, + {file = "matplotlib-3.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb0304c1cd802e9a25743414c887e8a7cd51d96c9ec96d388625d2cd1c137ae3"}, + {file = "matplotlib-3.7.0-cp39-cp39-win32.whl", hash = "sha256:a06a6c9822e80f323549c6bc9da96d4f233178212ad9a5f4ab87fd153077a507"}, + {file = "matplotlib-3.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:cb52aa97b92acdee090edfb65d1cb84ea60ab38e871ba8321a10bbcebc2a3540"}, + {file = "matplotlib-3.7.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3493b48e56468c39bd9c1532566dff3b8062952721b7521e1f394eb6791495f4"}, + {file = "matplotlib-3.7.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d0dcd1a0bf8d56551e8617d6dc3881d8a1c7fb37d14e5ec12cbb293f3e6170a"}, + {file = "matplotlib-3.7.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51fb664c37714cbaac69c16d6b3719f517a13c96c3f76f4caadd5a0aa7ed0329"}, + {file = "matplotlib-3.7.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:4497d88c559b76da320b7759d64db442178beeea06a52dc0c629086982082dcd"}, + {file = "matplotlib-3.7.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9d85355c48ef8b9994293eb7c00f44aa8a43cad7a297fbf0770a25cdb2244b91"}, + {file = "matplotlib-3.7.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:03eb2c8ff8d85da679b71e14c7c95d16d014c48e0c0bfa14db85f6cdc5c92aad"}, + {file = "matplotlib-3.7.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:71b751d06b2ed1fd017de512d7439c0259822864ea16731522b251a27c0b2ede"}, + {file = "matplotlib-3.7.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b51ab8a5d5d3bbd4527af633a638325f492e09e45e78afdf816ef55217a09664"}, + {file = "matplotlib-3.7.0.tar.gz", hash = "sha256:8f6efd313430d7ef70a38a3276281cb2e8646b3a22b3b21eb227da20e15e6813"}, +] [package.dependencies] contourpy = ">=1.0.1" cycler = ">=0.10" fonttools = ">=4.22.0" +importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""} kiwisolver = ">=1.0.1" -numpy = ">=1.19" +numpy = ">=1.20" packaging = ">=20.0" pillow = ">=6.2.0" -pyparsing = ">=2.2.1" +pyparsing = ">=2.3.1" python-dateutil = ">=2.7" -setuptools_scm = ">=7" [[package]] name = "matplotlib-inline" @@ -1014,17 +2597,66 @@ description = "Inline Matplotlib backend for Jupyter" category = "main" optional = false python-versions = ">=3.5" +files = [ + {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"}, + {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"}, +] [package.dependencies] traitlets = "*" +[[package]] +name = "mdit-py-plugins" +version = "0.3.3" +description = "Collection of plugins for markdown-it-py" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mdit-py-plugins-0.3.3.tar.gz", hash = "sha256:5cfd7e7ac582a594e23ba6546a2f406e94e42eb33ae596d0734781261c251260"}, + {file = "mdit_py_plugins-0.3.3-py3-none-any.whl", hash = "sha256:36d08a29def19ec43acdcd8ba471d3ebab132e7879d442760d963f19913e04b9"}, +] + +[package.dependencies] +markdown-it-py = ">=1.0.0,<3.0.0" + +[package.extras] +code-style = ["pre-commit"] +rtd = ["attrs", "myst-parser (>=0.16.1,<0.17.0)", "sphinx-book-theme (>=0.1.0,<0.2.0)"] +testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] + +[[package]] +name = "mdurl" +version = "0.1.2" +description = "Markdown URL utilities" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, + {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, +] + [[package]] name = "mediapipe" -version = "0.9.0" +version = "0.9.1.0" description = "MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web." category = "main" optional = false python-versions = "*" +files = [ + {file = "mediapipe-0.9.1.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:c72a1661609cc26909409633ccd9ab247e1b1956139b3e06d578f4663ef2e788"}, + {file = "mediapipe-0.9.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:202dab5de7ca6adddcd40bae9020c26a39fdb5b9b4bf5df61ee8ee327405ef80"}, + {file = "mediapipe-0.9.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:71c18c50f2f339ad3dd2ff274b9b15299049702a6eca8cb382f3b5282900564c"}, + {file = "mediapipe-0.9.1.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:7787cad5b70268d07728d91ad378a9335c3491b2e971290eb95db51e95fcb8b6"}, + {file = "mediapipe-0.9.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d45140c37159e2ede58feeaedf1f9a6d1bdaa0e77ab374b3185ca183b6f949"}, + {file = "mediapipe-0.9.1.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:180117f9f7aa780ee6e1b5b64f74e8f5ac61881d04f01bc97beec2517fd5ebc8"}, + {file = "mediapipe-0.9.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07685bd4df2a97832f5b4d36465b26355e2fd5ed6fc36e6f92b2345a5388d1eb"}, + {file = "mediapipe-0.9.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:f45cdb3d17bd6ef31062ae41be7f8792ee0cef1aa28a413e8478e4bfae862332"}, + {file = "mediapipe-0.9.1.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:f5d17fe80a019e324d358341d19f0a62a8a0bdb445adedaae13349a1dc0f818c"}, + {file = "mediapipe-0.9.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c53da2367926a2c410e22d3f80e7304e7cbc727b8fea9707bfd046870e90544"}, + {file = "mediapipe-0.9.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:f722a5f7d24888559f7334e260cf545a85374d1e4d7b23a2dead4125145c13e1"}, +] [package.dependencies] absl-py = "*" @@ -1042,22 +2674,34 @@ description = "A deep merge function for 🐍." category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"}, + {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"}, +] [[package]] name = "mistune" -version = "2.0.4" +version = "2.0.5" description = "A sane Markdown parser with useful plugins and renderers" category = "main" optional = false python-versions = "*" +files = [ + {file = "mistune-2.0.5-py2.py3-none-any.whl", hash = "sha256:bad7f5d431886fcbaf5f758118ecff70d31f75231b34024a1341120340a65ce8"}, + {file = "mistune-2.0.5.tar.gz", hash = "sha256:0246113cb2492db875c6be56974a7c893333bf26cd92891c85f63151cee09d34"}, +] [[package]] name = "mkdocs" -version = "1.4.1" +version = "1.4.2" description = "Project documentation with Markdown." category = "dev" optional = false python-versions = ">=3.7" +files = [ + {file = "mkdocs-1.4.2-py3-none-any.whl", hash = "sha256:c8856a832c1e56702577023cd64cc5f84948280c1c0fcc6af4cd39006ea6aa8c"}, + {file = "mkdocs-1.4.2.tar.gz", hash = "sha256:8947af423a6d0facf41ea1195b8e1e8c85ad94ac95ae307fe11232e0424b11c5"}, +] [package.dependencies] click = ">=7.0" @@ -1073,33 +2717,177 @@ pyyaml-env-tag = ">=0.1" watchdog = ">=2.0" [package.extras] -min-versions = ["watchdog (==2.0)", "typing-extensions (==3.10)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "packaging (==20.5)", "mergedeep (==1.3.4)", "markupsafe (==2.0.1)", "markdown (==3.2.1)", "jinja2 (==2.11.1)", "importlib-metadata (==4.3)", "ghp-import (==1.0)", "colorama (==0.4)", "click (==7.0)", "babel (==2.9.0)"] i18n = ["babel (>=2.9.0)"] +min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"] [[package]] -name = "mtcnn" -version = "0.1.1" -description = "Multi-task Cascaded Convolutional Neural Networks for Face Detection, based on TensorFlow" +name = "more-itertools" +version = "9.1.0" +description = "More routines for operating on iterables, beyond itertools" category = "main" optional = false -python-versions = "*" - -[package.dependencies] -keras = ">=2.0.0" -opencv-python = ">=4.1.0" +python-versions = ">=3.7" +files = [ + {file = "more-itertools-9.1.0.tar.gz", hash = "sha256:cabaa341ad0389ea83c17a94566a53ae4c9d07349861ecb14dc6d0345cf9ac5d"}, + {file = "more_itertools-9.1.0-py3-none-any.whl", hash = "sha256:d2bc7f02446e86a68911e58ded76d6561eea00cddfb2a91e7019bbb586c799f3"}, +] [[package]] -name = "nbclassic" -version = "0.4.5" -description = "A web-based notebook environment for interactive computing" +name = "moviepy" +version = "1.0.3" +description = "Video editing with Python" category = "main" optional = false -python-versions = ">=3.7" +python-versions = "*" +files = [ + {file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"}, +] [package.dependencies] -argon2-cffi = "*" -ipykernel = "*" -ipython-genutils = "*" +decorator = ">=4.0.2,<5.0" +imageio = {version = ">=2.5,<3.0", markers = "python_version >= \"3.4\""} +imageio_ffmpeg = {version = ">=0.2.0", markers = "python_version >= \"3.4\""} +numpy = [ + {version = ">=1.17.3", markers = "python_version != \"2.7\""}, + {version = "*", markers = "python_version >= \"2.7\""}, +] +proglog = "<=1.0.0" +requests = ">=2.8.1,<3.0" +tqdm = ">=4.11.2,<5.0" + +[package.extras] +doc = ["Sphinx (>=1.5.2,<2.0)", "numpydoc (>=0.6.0,<1.0)", "pygame (>=1.9.3,<2.0)", "sphinx_rtd_theme (>=0.1.10b0,<1.0)"] +optional = ["matplotlib (>=2.0.0,<3.0)", "opencv-python (>=3.0,<4.0)", "scikit-image (>=0.13.0,<1.0)", "scikit-learn", "scipy (>=0.19.0,<1.5)", "youtube_dl"] +test = ["coverage (<5.0)", "coveralls (>=1.1,<2.0)", "pytest (>=3.0.0,<4.0)", "pytest-cov (>=2.5.1,<3.0)", "requests (>=2.8.1,<3.0)"] + +[[package]] +name = "mtcnn" +version = "0.1.1" +description = "Multi-task Cascaded Convolutional Neural Networks for Face Detection, based on TensorFlow" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "mtcnn-0.1.1-py3-none-any.whl", hash = "sha256:fd69d2f4dd10647dd7481a53b9586e805f35a17c61ac78ba472a7f53766eb86e"}, + {file = "mtcnn-0.1.1.tar.gz", hash = "sha256:d0957274584be62cb83d4a089041f8ee3cf3b1893e45f01ed3356f94a381302b"}, +] + +[package.dependencies] +keras = ">=2.0.0" +opencv-python = ">=4.1.0" + +[[package]] +name = "multidict" +version = "6.0.4" +description = "multidict implementation" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "multidict-6.0.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b1a97283e0c85772d613878028fec909f003993e1007eafa715b24b377cb9b8"}, + {file = "multidict-6.0.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:eeb6dcc05e911516ae3d1f207d4b0520d07f54484c49dfc294d6e7d63b734171"}, + {file = "multidict-6.0.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d6d635d5209b82a3492508cf5b365f3446afb65ae7ebd755e70e18f287b0adf7"}, + {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c048099e4c9e9d615545e2001d3d8a4380bd403e1a0578734e0d31703d1b0c0b"}, + {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ea20853c6dbbb53ed34cb4d080382169b6f4554d394015f1bef35e881bf83547"}, + {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16d232d4e5396c2efbbf4f6d4df89bfa905eb0d4dc5b3549d872ab898451f569"}, + {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36c63aaa167f6c6b04ef2c85704e93af16c11d20de1d133e39de6a0e84582a93"}, + {file = "multidict-6.0.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:64bdf1086b6043bf519869678f5f2757f473dee970d7abf6da91ec00acb9cb98"}, + {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:43644e38f42e3af682690876cff722d301ac585c5b9e1eacc013b7a3f7b696a0"}, + {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:7582a1d1030e15422262de9f58711774e02fa80df0d1578995c76214f6954988"}, + {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ddff9c4e225a63a5afab9dd15590432c22e8057e1a9a13d28ed128ecf047bbdc"}, + {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ee2a1ece51b9b9e7752e742cfb661d2a29e7bcdba2d27e66e28a99f1890e4fa0"}, + {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a2e4369eb3d47d2034032a26c7a80fcb21a2cb22e1173d761a162f11e562caa5"}, + {file = "multidict-6.0.4-cp310-cp310-win32.whl", hash = "sha256:574b7eae1ab267e5f8285f0fe881f17efe4b98c39a40858247720935b893bba8"}, + {file = "multidict-6.0.4-cp310-cp310-win_amd64.whl", hash = "sha256:4dcbb0906e38440fa3e325df2359ac6cb043df8e58c965bb45f4e406ecb162cc"}, + {file = "multidict-6.0.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0dfad7a5a1e39c53ed00d2dd0c2e36aed4650936dc18fd9a1826a5ae1cad6f03"}, + {file = "multidict-6.0.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:64da238a09d6039e3bd39bb3aee9c21a5e34f28bfa5aa22518581f910ff94af3"}, + {file = "multidict-6.0.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ff959bee35038c4624250473988b24f846cbeb2c6639de3602c073f10410ceba"}, + {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:01a3a55bd90018c9c080fbb0b9f4891db37d148a0a18722b42f94694f8b6d4c9"}, + {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c5cb09abb18c1ea940fb99360ea0396f34d46566f157122c92dfa069d3e0e982"}, + {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:666daae833559deb2d609afa4490b85830ab0dfca811a98b70a205621a6109fe"}, + {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11bdf3f5e1518b24530b8241529d2050014c884cf18b6fc69c0c2b30ca248710"}, + {file = "multidict-6.0.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d18748f2d30f94f498e852c67d61261c643b349b9d2a581131725595c45ec6c"}, + {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:458f37be2d9e4c95e2d8866a851663cbc76e865b78395090786f6cd9b3bbf4f4"}, + {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:b1a2eeedcead3a41694130495593a559a668f382eee0727352b9a41e1c45759a"}, + {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:7d6ae9d593ef8641544d6263c7fa6408cc90370c8cb2bbb65f8d43e5b0351d9c"}, + {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:5979b5632c3e3534e42ca6ff856bb24b2e3071b37861c2c727ce220d80eee9ed"}, + {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dcfe792765fab89c365123c81046ad4103fcabbc4f56d1c1997e6715e8015461"}, + {file = "multidict-6.0.4-cp311-cp311-win32.whl", hash = "sha256:3601a3cece3819534b11d4efc1eb76047488fddd0c85a3948099d5da4d504636"}, + {file = "multidict-6.0.4-cp311-cp311-win_amd64.whl", hash = "sha256:81a4f0b34bd92df3da93315c6a59034df95866014ac08535fc819f043bfd51f0"}, + {file = "multidict-6.0.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:67040058f37a2a51ed8ea8f6b0e6ee5bd78ca67f169ce6122f3e2ec80dfe9b78"}, + {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:853888594621e6604c978ce2a0444a1e6e70c8d253ab65ba11657659dcc9100f"}, + {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:39ff62e7d0f26c248b15e364517a72932a611a9b75f35b45be078d81bdb86603"}, + {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:af048912e045a2dc732847d33821a9d84ba553f5c5f028adbd364dd4765092ac"}, + {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1e8b901e607795ec06c9e42530788c45ac21ef3aaa11dbd0c69de543bfb79a9"}, + {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62501642008a8b9871ddfccbf83e4222cf8ac0d5aeedf73da36153ef2ec222d2"}, + {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:99b76c052e9f1bc0721f7541e5e8c05db3941eb9ebe7b8553c625ef88d6eefde"}, + {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:509eac6cf09c794aa27bcacfd4d62c885cce62bef7b2c3e8b2e49d365b5003fe"}, + {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:21a12c4eb6ddc9952c415f24eef97e3e55ba3af61f67c7bc388dcdec1404a067"}, + {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:5cad9430ab3e2e4fa4a2ef4450f548768400a2ac635841bc2a56a2052cdbeb87"}, + {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ab55edc2e84460694295f401215f4a58597f8f7c9466faec545093045476327d"}, + {file = "multidict-6.0.4-cp37-cp37m-win32.whl", hash = "sha256:5a4dcf02b908c3b8b17a45fb0f15b695bf117a67b76b7ad18b73cf8e92608775"}, + {file = "multidict-6.0.4-cp37-cp37m-win_amd64.whl", hash = "sha256:6ed5f161328b7df384d71b07317f4d8656434e34591f20552c7bcef27b0ab88e"}, + {file = "multidict-6.0.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5fc1b16f586f049820c5c5b17bb4ee7583092fa0d1c4e28b5239181ff9532e0c"}, + {file = "multidict-6.0.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1502e24330eb681bdaa3eb70d6358e818e8e8f908a22a1851dfd4e15bc2f8161"}, + {file = "multidict-6.0.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b692f419760c0e65d060959df05f2a531945af31fda0c8a3b3195d4efd06de11"}, + {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45e1ecb0379bfaab5eef059f50115b54571acfbe422a14f668fc8c27ba410e7e"}, + {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ddd3915998d93fbcd2566ddf9cf62cdb35c9e093075f862935573d265cf8f65d"}, + {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:59d43b61c59d82f2effb39a93c48b845efe23a3852d201ed2d24ba830d0b4cf2"}, + {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc8e1d0c705233c5dd0c5e6460fbad7827d5d36f310a0fadfd45cc3029762258"}, + {file = "multidict-6.0.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6aa0418fcc838522256761b3415822626f866758ee0bc6632c9486b179d0b52"}, + {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6748717bb10339c4760c1e63da040f5f29f5ed6e59d76daee30305894069a660"}, + {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4d1a3d7ef5e96b1c9e92f973e43aa5e5b96c659c9bc3124acbbd81b0b9c8a951"}, + {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4372381634485bec7e46718edc71528024fcdc6f835baefe517b34a33c731d60"}, + {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:fc35cb4676846ef752816d5be2193a1e8367b4c1397b74a565a9d0389c433a1d"}, + {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:4b9d9e4e2b37daddb5c23ea33a3417901fa7c7b3dee2d855f63ee67a0b21e5b1"}, + {file = "multidict-6.0.4-cp38-cp38-win32.whl", hash = "sha256:e41b7e2b59679edfa309e8db64fdf22399eec4b0b24694e1b2104fb789207779"}, + {file = "multidict-6.0.4-cp38-cp38-win_amd64.whl", hash = "sha256:d6c254ba6e45d8e72739281ebc46ea5eb5f101234f3ce171f0e9f5cc86991480"}, + {file = "multidict-6.0.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:16ab77bbeb596e14212e7bab8429f24c1579234a3a462105cda4a66904998664"}, + {file = "multidict-6.0.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc779e9e6f7fda81b3f9aa58e3a6091d49ad528b11ed19f6621408806204ad35"}, + {file = "multidict-6.0.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4ceef517eca3e03c1cceb22030a3e39cb399ac86bff4e426d4fc6ae49052cc60"}, + {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:281af09f488903fde97923c7744bb001a9b23b039a909460d0f14edc7bf59706"}, + {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52f2dffc8acaba9a2f27174c41c9e57f60b907bb9f096b36b1a1f3be71c6284d"}, + {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b41156839806aecb3641f3208c0dafd3ac7775b9c4c422d82ee2a45c34ba81ca"}, + {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5e3fc56f88cc98ef8139255cf8cd63eb2c586531e43310ff859d6bb3a6b51f1"}, + {file = "multidict-6.0.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8316a77808c501004802f9beebde51c9f857054a0c871bd6da8280e718444449"}, + {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f70b98cd94886b49d91170ef23ec5c0e8ebb6f242d734ed7ed677b24d50c82cf"}, + {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bf6774e60d67a9efe02b3616fee22441d86fab4c6d335f9d2051d19d90a40063"}, + {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:e69924bfcdda39b722ef4d9aa762b2dd38e4632b3641b1d9a57ca9cd18f2f83a"}, + {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:6b181d8c23da913d4ff585afd1155a0e1194c0b50c54fcfe286f70cdaf2b7176"}, + {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:52509b5be062d9eafc8170e53026fbc54cf3b32759a23d07fd935fb04fc22d95"}, + {file = "multidict-6.0.4-cp39-cp39-win32.whl", hash = "sha256:27c523fbfbdfd19c6867af7346332b62b586eed663887392cff78d614f9ec313"}, + {file = "multidict-6.0.4-cp39-cp39-win_amd64.whl", hash = "sha256:33029f5734336aa0d4c0384525da0387ef89148dc7191aae00ca5fb23d7aafc2"}, + {file = "multidict-6.0.4.tar.gz", hash = "sha256:3666906492efb76453c0e7b97f2cf459b0682e7402c0489a95484965dbc1da49"}, +] + +[[package]] +name = "munkres" +version = "1.1.4" +description = "Munkres (Hungarian) algorithm for the Assignment Problem" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "munkres-1.1.4-py2.py3-none-any.whl", hash = "sha256:6b01867d4a8480d865aea2326e4b8f7c46431e9e55b4a2e32d989307d7bced2a"}, + {file = "munkres-1.1.4.tar.gz", hash = "sha256:fc44bf3c3979dada4b6b633ddeeb8ffbe8388ee9409e4d4e8310c2da1792db03"}, +] + +[[package]] +name = "nbclassic" +version = "0.5.2" +description = "Jupyter Notebook as a Jupyter Server extension." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "nbclassic-0.5.2-py3-none-any.whl", hash = "sha256:6403a996562dadefa7fee9c49e17b663b5fd508241de5df655b90011cf3342d9"}, + {file = "nbclassic-0.5.2.tar.gz", hash = "sha256:40f11bbcc59e8956c3d5ef132dec8e5a853e893ecf831e791d54da0d8a50d79d"}, +] + +[package.dependencies] +argon2-cffi = "*" +ipykernel = "*" +ipython-genutils = "*" jinja2 = "*" jupyter-client = ">=6.1.1" jupyter-core = ">=4.6.1" @@ -1116,35 +2904,44 @@ tornado = ">=6.1" traitlets = ">=4.2.1" [package.extras] -docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"] +docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] json-logging = ["json-logging"] -test = ["pytest", "coverage", "requests", "testpath", "nbval", "selenium (==4.1.5)", "pytest-cov", "pytest-tornasync", "requests-unixsocket"] +test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-jupyter", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"] [[package]] name = "nbclient" -version = "0.7.0" +version = "0.7.2" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." category = "main" optional = false python-versions = ">=3.7.0" +files = [ + {file = "nbclient-0.7.2-py3-none-any.whl", hash = "sha256:d97ac6257de2794f5397609df754fcbca1a603e94e924eb9b99787c031ae2e7c"}, + {file = "nbclient-0.7.2.tar.gz", hash = "sha256:884a3f4a8c4fc24bb9302f263e0af47d97f0d01fe11ba714171b320c8ac09547"}, +] [package.dependencies] -jupyter-client = ">=6.1.5" -nbformat = ">=5.0" -nest-asyncio = "*" -traitlets = ">=5.2.2" +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" +nbformat = ">=5.1" +traitlets = ">=5.3" [package.extras] -test = ["xmltodict", "twine (>=1.11.0)", "testpath", "setuptools (>=60.0)", "pytest-cov (>=2.6.1)", "pytest-asyncio", "pytest (>=4.1)", "pre-commit", "pip (>=18.1)", "nbconvert", "mypy", "ipywidgets", "ipython", "ipykernel", "flake8", "check-manifest", "black"] -sphinx = ["sphinx-book-theme", "Sphinx (>=1.7)", "myst-parser", "moto", "mock", "autodoc-traits"] +dev = ["pre-commit"] +docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme"] +test = ["ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] [[package]] name = "nbconvert" -version = "7.2.2" +version = "7.2.9" description = "Converting Jupyter Notebooks" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "nbconvert-7.2.9-py3-none-any.whl", hash = "sha256:495638c5e06005f4a5ce828d8a81d28e34f95c20f4384d5d7a22254b443836e7"}, + {file = "nbconvert-7.2.9.tar.gz", hash = "sha256:a42c3ac137c64f70cbe4d763111bf358641ea53b37a01a5c202ed86374af5234"}, +] [package.dependencies] beautifulsoup4 = "*" @@ -1165,21 +2962,25 @@ tinycss2 = "*" traitlets = ">=5.0" [package.extras] -all = ["ipykernel", "ipython", "ipywidgets (>=7)", "myst-parser", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pyqtwebengine (>=5.15)", "pytest", "pytest-cov", "pytest-dependency", "sphinx-rtd-theme", "sphinx (==5.0.2)", "tornado (>=6.1)"] -docs = ["ipython", "myst-parser", "nbsphinx (>=0.2.12)", "sphinx-rtd-theme", "sphinx (==5.0.2)"] -qtpdf = ["pyqtwebengine (>=5.15)"] +all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"] +docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"] +qtpdf = ["nbconvert[qtpng]"] qtpng = ["pyqtwebengine (>=5.15)"] serve = ["tornado (>=6.1)"] -test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "pytest", "pytest-cov", "pytest-dependency"] +test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"] webpdf = ["pyppeteer (>=1,<1.1)"] [[package]] name = "nbformat" -version = "5.7.0" +version = "5.7.3" description = "The Jupyter Notebook format" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "nbformat-5.7.3-py3-none-any.whl", hash = "sha256:22a98a6516ca216002b0a34591af5bcb8072ca6c63910baffc901cfa07fefbf0"}, + {file = "nbformat-5.7.3.tar.gz", hash = "sha256:4b021fca24d3a747bf4e626694033d792d594705829e5e35b14ee3369f9f6477"}, +] [package.dependencies] fastjsonschema = "*" @@ -1188,7 +2989,8 @@ jupyter-core = "*" traitlets = ">=5.1" [package.extras] -test = ["check-manifest", "pep440", "pre-commit", "pytest", "testpath"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["pep440", "pre-commit", "pytest", "testpath"] [[package]] name = "nest-asyncio" @@ -1197,14 +2999,41 @@ description = "Patch asyncio to allow nested event loops" category = "main" optional = false python-versions = ">=3.5" +files = [ + {file = "nest_asyncio-1.5.6-py3-none-any.whl", hash = "sha256:b9a953fb40dceaa587d109609098db21900182b16440652454a146cffb06e8b8"}, + {file = "nest_asyncio-1.5.6.tar.gz", hash = "sha256:d267cc1ff794403f7df692964d1d2a3fa9418ffea2a3f6859a439ff482fef290"}, +] + +[[package]] +name = "networkx" +version = "3.0" +description = "Python package for creating and manipulating graphs and networks" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "networkx-3.0-py3-none-any.whl", hash = "sha256:58058d66b1818043527244fab9d41a51fcd7dcc271748015f3c181b8a90c8e2e"}, + {file = "networkx-3.0.tar.gz", hash = "sha256:9a9992345353618ae98339c2b63d8201c381c2944f38a2ab49cb45a4c667e412"}, +] + +[package.extras] +default = ["matplotlib (>=3.4)", "numpy (>=1.20)", "pandas (>=1.3)", "scipy (>=1.8)"] +developer = ["mypy (>=0.991)", "pre-commit (>=2.20)"] +doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.2)", "pydata-sphinx-theme (>=0.11)", "sphinx (==5.2.3)", "sphinx-gallery (>=0.11)", "texext (>=0.6.7)"] +extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"] +test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"] [[package]] name = "notebook" -version = "6.5.1" +version = "6.5.2" description = "A web-based notebook environment for interactive computing" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "notebook-6.5.2-py3-none-any.whl", hash = "sha256:e04f9018ceb86e4fa841e92ea8fb214f8d23c1cedfde530cc96f92446924f0e4"}, + {file = "notebook-6.5.2.tar.gz", hash = "sha256:c1897e5317e225fc78b45549a6ab4b668e4c996fd03a04e938fe5e7af2bfffd0"}, +] [package.dependencies] argon2-cffi = "*" @@ -1213,7 +3042,7 @@ ipython-genutils = "*" jinja2 = "*" jupyter-client = ">=5.3.4" jupyter-core = ">=4.6.1" -nbclassic = "0.4.5" +nbclassic = ">=0.4.7" nbconvert = ">=5" nbformat = "*" nest-asyncio = ">=1.5" @@ -1225,44 +3054,109 @@ tornado = ">=6.1" traitlets = ">=4.2.1" [package.extras] -docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"] +docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] json-logging = ["json-logging"] -test = ["pytest", "coverage", "requests", "testpath", "nbval", "selenium (==4.1.5)", "pytest-cov", "requests-unixsocket"] +test = ["coverage", "nbval", "pytest", "pytest-cov", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"] [[package]] name = "notebook-shim" -version = "0.2.0" +version = "0.2.2" description = "A shim layer for notebook traits and config" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "notebook_shim-0.2.2-py3-none-any.whl", hash = "sha256:9c6c30f74c4fbea6fce55c1be58e7fd0409b1c681b075dcedceb005db5026949"}, + {file = "notebook_shim-0.2.2.tar.gz", hash = "sha256:090e0baf9a5582ff59b607af523ca2db68ff216da0c69956b62cab2ef4fc9c3f"}, +] [package.dependencies] jupyter-server = ">=1.8,<3" [package.extras] -test = ["pytest-tornasync", "pytest-console-scripts", "pytest"] +test = ["pytest", "pytest-console-scripts", "pytest-tornasync"] [[package]] name = "numba" -version = "0.56.3" +version = "0.56.4" description = "compiling Python code using LLVM" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "numba-0.56.4-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:9f62672145f8669ec08762895fe85f4cf0ead08ce3164667f2b94b2f62ab23c3"}, + {file = "numba-0.56.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c602d015478b7958408d788ba00a50272649c5186ea8baa6cf71d4a1c761bba1"}, + {file = "numba-0.56.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:85dbaed7a05ff96492b69a8900c5ba605551afb9b27774f7f10511095451137c"}, + {file = "numba-0.56.4-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f4cfc3a19d1e26448032049c79fc60331b104f694cf570a9e94f4e2c9d0932bb"}, + {file = "numba-0.56.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4e08e203b163ace08bad500b0c16f6092b1eb34fd1fce4feaf31a67a3a5ecf3b"}, + {file = "numba-0.56.4-cp310-cp310-win32.whl", hash = "sha256:0611e6d3eebe4cb903f1a836ffdb2bda8d18482bcd0a0dcc56e79e2aa3fefef5"}, + {file = "numba-0.56.4-cp310-cp310-win_amd64.whl", hash = "sha256:fbfb45e7b297749029cb28694abf437a78695a100e7c2033983d69f0ba2698d4"}, + {file = "numba-0.56.4-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:3cb1a07a082a61df80a468f232e452d818f5ae254b40c26390054e4e868556e0"}, + {file = "numba-0.56.4-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d69ad934e13c15684e7887100a8f5f0f61d7a8e57e0fd29d9993210089a5b531"}, + {file = "numba-0.56.4-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:dbcc847bac2d225265d054993a7f910fda66e73d6662fe7156452cac0325b073"}, + {file = "numba-0.56.4-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8a95ca9cc77ea4571081f6594e08bd272b66060634b8324e99cd1843020364f9"}, + {file = "numba-0.56.4-cp37-cp37m-win32.whl", hash = "sha256:fcdf84ba3ed8124eb7234adfbb8792f311991cbf8aed1cad4b1b1a7ee08380c1"}, + {file = "numba-0.56.4-cp37-cp37m-win_amd64.whl", hash = "sha256:42f9e1be942b215df7e6cc9948cf9c15bb8170acc8286c063a9e57994ef82fd1"}, + {file = "numba-0.56.4-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:553da2ce74e8862e18a72a209ed3b6d2924403bdd0fb341fa891c6455545ba7c"}, + {file = "numba-0.56.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4373da9757049db7c90591e9ec55a2e97b2b36ba7ae3bf9c956a513374077470"}, + {file = "numba-0.56.4-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3a993349b90569518739009d8f4b523dfedd7e0049e6838c0e17435c3e70dcc4"}, + {file = "numba-0.56.4-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:720886b852a2d62619ae3900fe71f1852c62db4f287d0c275a60219e1643fc04"}, + {file = "numba-0.56.4-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e64d338b504c9394a4a34942df4627e1e6cb07396ee3b49fe7b8d6420aa5104f"}, + {file = "numba-0.56.4-cp38-cp38-win32.whl", hash = "sha256:03fe94cd31e96185cce2fae005334a8cc712fc2ba7756e52dff8c9400718173f"}, + {file = "numba-0.56.4-cp38-cp38-win_amd64.whl", hash = "sha256:91f021145a8081f881996818474ef737800bcc613ffb1e618a655725a0f9e246"}, + {file = "numba-0.56.4-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:d0ae9270a7a5cc0ede63cd234b4ff1ce166c7a749b91dbbf45e0000c56d3eade"}, + {file = "numba-0.56.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c75e8a5f810ce80a0cfad6e74ee94f9fde9b40c81312949bf356b7304ef20740"}, + {file = "numba-0.56.4-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:a12ef323c0f2101529d455cfde7f4135eaa147bad17afe10b48634f796d96abd"}, + {file = "numba-0.56.4-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:03634579d10a6129181129de293dd6b5eaabee86881369d24d63f8fe352dd6cb"}, + {file = "numba-0.56.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0240f9026b015e336069329839208ebd70ec34ae5bfbf402e4fcc8e06197528e"}, + {file = "numba-0.56.4-cp39-cp39-win32.whl", hash = "sha256:14dbbabf6ffcd96ee2ac827389afa59a70ffa9f089576500434c34abf9b054a4"}, + {file = "numba-0.56.4-cp39-cp39-win_amd64.whl", hash = "sha256:0da583c532cd72feefd8e551435747e0e0fbb3c0530357e6845fcc11e38d6aea"}, + {file = "numba-0.56.4.tar.gz", hash = "sha256:32d9fef412c81483d7efe0ceb6cf4d3310fde8b624a9cecca00f790573ac96ee"}, +] [package.dependencies] importlib-metadata = {version = "*", markers = "python_version < \"3.9\""} llvmlite = ">=0.39.0dev0,<0.40" numpy = ">=1.18,<1.24" +setuptools = "*" [[package]] name = "numpy" -version = "1.23.4" +version = "1.23.5" description = "NumPy is the fundamental package for array computing with Python." category = "main" optional = false python-versions = ">=3.8" +files = [ + {file = "numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9c88793f78fca17da0145455f0d7826bcb9f37da4764af27ac945488116efe63"}, + {file = "numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e9f4c4e51567b616be64e05d517c79a8a22f3606499941d97bb76f2ca59f982d"}, + {file = "numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7903ba8ab592b82014713c491f6c5d3a1cde5b4a3bf116404e08f5b52f6daf43"}, + {file = "numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e05b1c973a9f858c74367553e236f287e749465f773328c8ef31abe18f691e1"}, + {file = "numpy-1.23.5-cp310-cp310-win32.whl", hash = "sha256:522e26bbf6377e4d76403826ed689c295b0b238f46c28a7251ab94716da0b280"}, + {file = "numpy-1.23.5-cp310-cp310-win_amd64.whl", hash = "sha256:dbee87b469018961d1ad79b1a5d50c0ae850000b639bcb1b694e9981083243b6"}, + {file = "numpy-1.23.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ce571367b6dfe60af04e04a1834ca2dc5f46004ac1cc756fb95319f64c095a96"}, + {file = "numpy-1.23.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:56e454c7833e94ec9769fa0f86e6ff8e42ee38ce0ce1fa4cbb747ea7e06d56aa"}, + {file = "numpy-1.23.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5039f55555e1eab31124a5768898c9e22c25a65c1e0037f4d7c495a45778c9f2"}, + {file = "numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58f545efd1108e647604a1b5aa809591ccd2540f468a880bedb97247e72db387"}, + {file = "numpy-1.23.5-cp311-cp311-win32.whl", hash = "sha256:b2a9ab7c279c91974f756c84c365a669a887efa287365a8e2c418f8b3ba73fb0"}, + {file = "numpy-1.23.5-cp311-cp311-win_amd64.whl", hash = "sha256:0cbe9848fad08baf71de1a39e12d1b6310f1d5b2d0ea4de051058e6e1076852d"}, + {file = "numpy-1.23.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f063b69b090c9d918f9df0a12116029e274daf0181df392839661c4c7ec9018a"}, + {file = "numpy-1.23.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0aaee12d8883552fadfc41e96b4c82ee7d794949e2a7c3b3a7201e968c7ecab9"}, + {file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92c8c1e89a1f5028a4c6d9e3ccbe311b6ba53694811269b992c0b224269e2398"}, + {file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d208a0f8729f3fb790ed18a003f3a57895b989b40ea4dce4717e9cf4af62c6bb"}, + {file = "numpy-1.23.5-cp38-cp38-win32.whl", hash = "sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07"}, + {file = "numpy-1.23.5-cp38-cp38-win_amd64.whl", hash = "sha256:ca51fcfcc5f9354c45f400059e88bc09215fb71a48d3768fb80e357f3b457e1e"}, + {file = "numpy-1.23.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8969bfd28e85c81f3f94eb4a66bc2cf1dbdc5c18efc320af34bffc54d6b1e38f"}, + {file = "numpy-1.23.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a7ac231a08bb37f852849bbb387a20a57574a97cfc7b6cabb488a4fc8be176de"}, + {file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf837dc63ba5c06dc8797c398db1e223a466c7ece27a1f7b5232ba3466aafe3d"}, + {file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33161613d2269025873025b33e879825ec7b1d831317e68f4f2f0f84ed14c719"}, + {file = "numpy-1.23.5-cp39-cp39-win32.whl", hash = "sha256:af1da88f6bc3d2338ebbf0e22fe487821ea4d8e89053e25fa59d1d79786e7481"}, + {file = "numpy-1.23.5-cp39-cp39-win_amd64.whl", hash = "sha256:09b7847f7e83ca37c6e627682f145856de331049013853f344f37b0c9690e3df"}, + {file = "numpy-1.23.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:abdde9f795cf292fb9651ed48185503a2ff29be87770c3b8e2a14b0cd7aa16f8"}, + {file = "numpy-1.23.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9a909a8bae284d46bbfdefbdd4a262ba19d3bc9921b1e76126b1d21c3c34135"}, + {file = "numpy-1.23.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d"}, + {file = "numpy-1.23.5.tar.gz", hash = "sha256:1b1766d6f397c18153d40015ddfc79ddb715cabadc04d2d228d4e5a8bc4ded1a"}, +] [[package]] name = "oauthlib" @@ -1271,51 +3165,128 @@ description = "A generic, spec-compliant, thorough implementation of the OAuth r category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"}, + {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"}, +] [package.extras] rsa = ["cryptography (>=3.0.0)"] signals = ["blinker (>=1.4.0)"] signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] +[[package]] +name = "openai" +version = "0.27.0" +description = "Python client library for the OpenAI API" +category = "main" +optional = false +python-versions = ">=3.7.1" +files = [ + {file = "openai-0.27.0-py3-none-any.whl", hash = "sha256:7d4066ea529658a1f1696a8766912b3f3b7139faca860dc530bf102f0b19d42c"}, + {file = "openai-0.27.0.tar.gz", hash = "sha256:0efa486016283607cb72c23eac346ac739a22613ff4bff101df72a138cb2de60"}, +] + +[package.dependencies] +aiohttp = "*" +requests = ">=2.20" +tqdm = "*" + +[package.extras] +datalib = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"] +dev = ["black (>=21.6b0,<22.0)", "pytest (>=6.0.0,<7.0.0)", "pytest-asyncio", "pytest-mock"] +embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "scipy", "tenacity (>=8.0.1)"] +wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "wandb"] + +[[package]] +name = "openai-whisper" +version = "20230307" +description = "Robust Speech Recognition via Large-Scale Weak Supervision" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "openai-whisper-20230307.tar.gz", hash = "sha256:0eb705930f67e3b83a8bf57e421572e3fc3686f9197df5ae33efb45fd0ef8fd8"}, +] + +[package.dependencies] +ffmpeg-python = "0.2.0" +more-itertools = "*" +numba = "*" +numpy = "*" +torch = "*" +tqdm = "*" +transformers = ">=4.19.0" +triton = "2.0.0" + +[package.extras] +dev = ["black", "flake8", "isort", "pytest", "scipy"] + [[package]] name = "opencv-contrib-python" -version = "4.6.0.66" +version = "4.7.0.72" description = "Wrapper package for OpenCV python bindings." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "opencv-contrib-python-4.7.0.72.tar.gz", hash = "sha256:ab33fa2385ec7e70b9d484293f6f1f3707933045af4d18bb3b0a0290fa44370f"}, + {file = "opencv_contrib_python-4.7.0.72-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:698c6b6203831f6573e04258be197e3bfde97fb7279fb614e39d75a8bd5818fb"}, + {file = "opencv_contrib_python-4.7.0.72-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:8cad628ea6cc493f6c56140d7edc86f7ed8de528e18e44311e42b390a7d9996e"}, + {file = "opencv_contrib_python-4.7.0.72-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1fef5ae16dfa73022749165e029e85eb0f399503470c0df1f84c95633f4ae52"}, + {file = "opencv_contrib_python-4.7.0.72-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b54c2e8bb636e367d29bde48fae2aa52c43b782265cf65838a1fe852006cdd94"}, + {file = "opencv_contrib_python-4.7.0.72-cp37-abi3-win32.whl", hash = "sha256:641ca83b34a9d3e8ef2da70533c6e4e3f076ffb0db69b963d82899cc53e9b3c2"}, + {file = "opencv_contrib_python-4.7.0.72-cp37-abi3-win_amd64.whl", hash = "sha256:fefc5f7f1eef3125f78242afe5c989057b36c2f015619698c741b04f4503f913"}, +] [package.dependencies] numpy = [ - {version = ">=1.21.2", markers = "python_version >= \"3.6\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, + {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, - {version = ">=1.14.5", markers = "python_version >= \"3.7\""}, + {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, ] [[package]] name = "opencv-python" -version = "4.6.0.66" +version = "4.7.0.72" description = "Wrapper package for OpenCV python bindings." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "opencv-python-4.7.0.72.tar.gz", hash = "sha256:3424794a711f33284581f3c1e4b071cfc827d02b99d6fd9a35391f517c453306"}, + {file = "opencv_python-4.7.0.72-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:d4f8880440c433a0025d78804dda6901d1e8e541a561dda66892d90290aef881"}, + {file = "opencv_python-4.7.0.72-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:7a297e7651e22eb17c265ddbbc80e2ba2a8ff4f4a1696a67c45e5f5798245842"}, + {file = "opencv_python-4.7.0.72-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd08343654c6b88c5a8c25bf425f8025aed2e3189b4d7306b5861d32affaf737"}, + {file = "opencv_python-4.7.0.72-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ebfc0a3a2f57716e709028b992e4de7fd8752105d7a768531c4f434043c6f9ff"}, + {file = "opencv_python-4.7.0.72-cp37-abi3-win32.whl", hash = "sha256:eda115797b114fc16ca6f182b91c5d984f0015c19bec3145e55d33d708e9bae1"}, + {file = "opencv_python-4.7.0.72-cp37-abi3-win_amd64.whl", hash = "sha256:812af57553ec1c6709060c63f6b7e9ad07ddc0f592f3ccc6d00c71e0fe0e6376"}, +] [package.dependencies] numpy = [ - {version = ">=1.21.2", markers = "python_version >= \"3.6\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, + {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, - {version = ">=1.14.5", markers = "python_version >= \"3.7\""}, + {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, ] [[package]] name = "openpyxl" -version = "3.0.10" +version = "3.1.1" description = "A Python library to read/write Excel 2010 xlsx/xlsm files" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "openpyxl-3.1.1-py2.py3-none-any.whl", hash = "sha256:a0266e033e65f33ee697254b66116a5793c15fc92daf64711080000df4cfe0a8"}, + {file = "openpyxl-3.1.1.tar.gz", hash = "sha256:f06d44e2c973781068bce5ecf860a09bcdb1c7f5ce1facd5e9aa82c92c93ae72"}, +] [package.dependencies] et-xmlfile = "*" @@ -1327,40 +3298,131 @@ description = "Optimizing numpys einsum function" category = "main" optional = false python-versions = ">=3.5" +files = [ + {file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"}, + {file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"}, +] [package.dependencies] numpy = ">=1.7" [package.extras] -docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"] +docs = ["numpydoc", "sphinx (==1.2.3)", "sphinx-rtd-theme", "sphinxcontrib-napoleon"] tests = ["pytest", "pytest-cov", "pytest-pep8"] +[[package]] +name = "orjson" +version = "3.8.7" +description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "orjson-3.8.7-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:f98c82850b7b4b7e27785ca43706fa86c893cdb88d54576bbb9b0d9c1070e421"}, + {file = "orjson-3.8.7-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:1dee503c6c1a0659c5b46f5f39d9ca9d3657b11ca8bb4af8506086df416887d9"}, + {file = "orjson-3.8.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc4fa83831f42ce5c938f8cefc2e175fa1df6f661fdeaba3badf26d2b8cfcf73"}, + {file = "orjson-3.8.7-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9e432c6c9c8b97ad825276d5795286f7cc9689f377a97e3b7ecf14918413303f"}, + {file = "orjson-3.8.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ee519964a5a0efb9633f38b1129fd242807c5c57162844efeeaab1c8de080051"}, + {file = "orjson-3.8.7-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:109b539ce5bf60a121454d008fa67c3b67e5a3249e47d277012645922cf74bd0"}, + {file = "orjson-3.8.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ad4d441fbde4133af6fee37f67dbf23181b9c537ecc317346ec8c3b4c8ec7705"}, + {file = "orjson-3.8.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:89dc786419e1ce2588345f58dd6a434e6728bce66b94989644234bcdbe39b603"}, + {file = "orjson-3.8.7-cp310-none-win_amd64.whl", hash = "sha256:697abde7350fb8076d44bcb6b4ab3ce415ae2b5a9bb91efc460e5ab0d96bb5d3"}, + {file = "orjson-3.8.7-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:1c19f47b35b9966a3abadf341b18ee4a860431bf2b00fd8d58906d51cf78aa70"}, + {file = "orjson-3.8.7-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:3ffaabb380cd0ee187b4fc362516df6bf739808130b1339445c7d8878fca36e7"}, + {file = "orjson-3.8.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d88837002c5a8af970745b8e0ca1b0fdb06aafbe7f1279e110d338ea19f3d23"}, + {file = "orjson-3.8.7-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff60187d1b7e0bfab376b6002b08c560b7de06c87cf3a8ac639ecf58f84c5f3b"}, + {file = "orjson-3.8.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0110970aed35dec293f30ed1e09f8604afd5d15c5ef83de7f6c427619b3ba47b"}, + {file = "orjson-3.8.7-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:51b275475d4e36118b65ad56f9764056a09d985c5d72e64579bf8816f1356a5e"}, + {file = "orjson-3.8.7-cp311-none-win_amd64.whl", hash = "sha256:63144d27735f3b60f079f247ac9a289d80dfe49a7f03880dfa0c0ba64d6491d5"}, + {file = "orjson-3.8.7-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:a16273d77db746bb1789a2bbfded81148a60743fd6f9d5185e02d92e3732fa18"}, + {file = "orjson-3.8.7-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:5bb32259ea22cc9dd47a6fdc4b8f9f1e2f798fcf56c7c1122a7df0f4c5d33bf3"}, + {file = "orjson-3.8.7-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ad02e9102d4ba67db30a136e631e32aeebd1dce26c9f5942a457b02df131c5d0"}, + {file = "orjson-3.8.7-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:dbcfcec2b7ac52deb7be3685b551addc28ee8fa454ef41f8b714df6ba0e32a27"}, + {file = "orjson-3.8.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1a0e5504a5fc86083cc210c6946e8d61e13fe9f1d7a7bf81b42f7050a49d4fb"}, + {file = "orjson-3.8.7-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:7bd4fd37adb03b1f2a1012d43c9f95973a02164e131dfe3ff804d7e180af5653"}, + {file = "orjson-3.8.7-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:188ed9f9a781333ad802af54c55d5a48991e292239aef41bd663b6e314377eb8"}, + {file = "orjson-3.8.7-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:cc52f58c688cb10afd810280e450f56fbcb27f52c053463e625c8335c95db0dc"}, + {file = "orjson-3.8.7-cp37-none-win_amd64.whl", hash = "sha256:403c8c84ac8a02c40613b0493b74d5256379e65196d39399edbf2ed3169cbeb5"}, + {file = "orjson-3.8.7-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:7d6ac5f8a2a17095cd927c4d52abbb38af45918e0d3abd60fb50cfd49d71ae24"}, + {file = "orjson-3.8.7-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:0295a7bfd713fa89231fd0822c995c31fc2343c59a1d13aa1b8b6651335654f5"}, + {file = "orjson-3.8.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:feb32aaaa34cf2f891eb793ad320d4bb6731328496ae59b6c9eb1b620c42b529"}, + {file = "orjson-3.8.7-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7a3ab1a473894e609b6f1d763838c6689ba2b97620c256a32c4d9f10595ac179"}, + {file = "orjson-3.8.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e8c430d82b532c5ab95634e034bbf6ca7432ffe175a3e63eadd493e00b3a555"}, + {file = "orjson-3.8.7-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:366cc75f7e09106f9dac95a675aef413367b284f25507d21e55bd7f45f445e80"}, + {file = "orjson-3.8.7-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:84d154d07e8b17d97e990d5d710b719a031738eb1687d8a05b9089f0564ff3e0"}, + {file = "orjson-3.8.7-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06180014afcfdc167ca984b312218aa62ce20093965c437c5f9166764cb65ef7"}, + {file = "orjson-3.8.7-cp38-none-win_amd64.whl", hash = "sha256:41244431ba13f2e6ef22b52c5cf0202d17954489f4a3c0505bd28d0e805c3546"}, + {file = "orjson-3.8.7-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:b20f29fa8371b8023f1791df035a2c3ccbd98baa429ac3114fc104768f7db6f8"}, + {file = "orjson-3.8.7-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:226bfc1da2f21ee74918cee2873ea9a0fec1a8830e533cb287d192d593e99d02"}, + {file = "orjson-3.8.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e75c11023ac29e29fd3e75038d0e8dd93f9ea24d7b9a5e871967a8921a88df24"}, + {file = "orjson-3.8.7-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:78604d3acfd7cd502f6381eea0c42281fe2b74755b334074ab3ebc0224100be1"}, + {file = "orjson-3.8.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7129a6847f0494aa1427167486ef6aea2e835ba05f6c627df522692ee228f65"}, + {file = "orjson-3.8.7-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:1a1a8f4980059f48483782c608145b0f74538c266e01c183d9bcd9f8b71dbada"}, + {file = "orjson-3.8.7-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d60304172a33705ce4bd25a6261ab84bed2dab0b3d3b79672ea16c7648af4832"}, + {file = "orjson-3.8.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4f733062d84389c32c0492e5a4929056fac217034a94523debe0430bcc602cda"}, + {file = "orjson-3.8.7-cp39-none-win_amd64.whl", hash = "sha256:010e2970ec9e826c332819e0da4b14b29b19641da0f1a6af4cec91629ef9b988"}, + {file = "orjson-3.8.7.tar.gz", hash = "sha256:8460c8810652dba59c38c80d27c325b5092d189308d8d4f3e688dbd8d4f3b2dc"}, +] + [[package]] name = "packaging" -version = "21.3" +version = "23.0" description = "Core utilities for Python packages" category = "main" optional = false -python-versions = ">=3.6" - -[package.dependencies] -pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" +python-versions = ">=3.7" +files = [ + {file = "packaging-23.0-py3-none-any.whl", hash = "sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2"}, + {file = "packaging-23.0.tar.gz", hash = "sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97"}, +] [[package]] name = "pandas" -version = "1.5.1" +version = "1.5.3" description = "Powerful data structures for data analysis, time series, and statistics" category = "main" optional = false python-versions = ">=3.8" +files = [ + {file = "pandas-1.5.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406"}, + {file = "pandas-1.5.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572"}, + {file = "pandas-1.5.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996"}, + {file = "pandas-1.5.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354"}, + {file = "pandas-1.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23"}, + {file = "pandas-1.5.3-cp310-cp310-win_amd64.whl", hash = "sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328"}, + {file = "pandas-1.5.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc"}, + {file = "pandas-1.5.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d"}, + {file = "pandas-1.5.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc"}, + {file = "pandas-1.5.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae"}, + {file = "pandas-1.5.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6"}, + {file = "pandas-1.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003"}, + {file = "pandas-1.5.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813"}, + {file = "pandas-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31"}, + {file = "pandas-1.5.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792"}, + {file = "pandas-1.5.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7"}, + {file = "pandas-1.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf"}, + {file = "pandas-1.5.3-cp38-cp38-win32.whl", hash = "sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51"}, + {file = "pandas-1.5.3-cp38-cp38-win_amd64.whl", hash = "sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373"}, + {file = "pandas-1.5.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa"}, + {file = "pandas-1.5.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee"}, + {file = "pandas-1.5.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a"}, + {file = "pandas-1.5.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0"}, + {file = "pandas-1.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5"}, + {file = "pandas-1.5.3-cp39-cp39-win32.whl", hash = "sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a"}, + {file = "pandas-1.5.3-cp39-cp39-win_amd64.whl", hash = "sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9"}, + {file = "pandas-1.5.3.tar.gz", hash = "sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1"}, +] [package.dependencies] -numpy = {version = ">=1.20.3", markers = "python_version < \"3.10\""} +numpy = [ + {version = ">=1.20.3", markers = "python_version < \"3.10\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, +] python-dateutil = ">=2.8.1" pytz = ">=2020.1" [package.extras] -test = ["pytest-xdist (>=1.31)", "pytest (>=6.0)", "hypothesis (>=5.5.3)"] +test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] [[package]] name = "pandocfilters" @@ -1369,6 +3431,10 @@ description = "Utilities for writing pandoc filters in python" category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "pandocfilters-1.5.0-py2.py3-none-any.whl", hash = "sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f"}, + {file = "pandocfilters-1.5.0.tar.gz", hash = "sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38"}, +] [[package]] name = "parso" @@ -1377,6 +3443,10 @@ description = "A Python Parser" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"}, + {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"}, +] [package.extras] qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] @@ -1389,6 +3459,10 @@ description = "Pexpect allows easy control of interactive console applications." category = "main" optional = false python-versions = "*" +files = [ + {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"}, + {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"}, +] [package.dependencies] ptyprocess = ">=0.5" @@ -1400,17 +3474,100 @@ description = "Tiny 'shelve'-like database with concurrency support" category = "main" optional = false python-versions = "*" +files = [ + {file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"}, + {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"}, +] [[package]] name = "pillow" -version = "9.2.0" +version = "9.4.0" description = "Python Imaging Library (Fork)" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "Pillow-9.4.0-1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1b4b4e9dda4f4e4c4e6896f93e84a8f0bcca3b059de9ddf67dac3c334b1195e1"}, + {file = "Pillow-9.4.0-1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:fb5c1ad6bad98c57482236a21bf985ab0ef42bd51f7ad4e4538e89a997624e12"}, + {file = "Pillow-9.4.0-1-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:f0caf4a5dcf610d96c3bd32932bfac8aee61c96e60481c2a0ea58da435e25acd"}, + {file = "Pillow-9.4.0-1-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:3f4cc516e0b264c8d4ccd6b6cbc69a07c6d582d8337df79be1e15a5056b258c9"}, + {file = "Pillow-9.4.0-1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:b8c2f6eb0df979ee99433d8b3f6d193d9590f735cf12274c108bd954e30ca858"}, + {file = "Pillow-9.4.0-1-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:b70756ec9417c34e097f987b4d8c510975216ad26ba6e57ccb53bc758f490dab"}, + {file = "Pillow-9.4.0-1-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:43521ce2c4b865d385e78579a082b6ad1166ebed2b1a2293c3be1d68dd7ca3b9"}, + {file = "Pillow-9.4.0-2-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:9d9a62576b68cd90f7075876f4e8444487db5eeea0e4df3ba298ee38a8d067b0"}, + {file = "Pillow-9.4.0-2-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:87708d78a14d56a990fbf4f9cb350b7d89ee8988705e58e39bdf4d82c149210f"}, + {file = "Pillow-9.4.0-2-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:8a2b5874d17e72dfb80d917213abd55d7e1ed2479f38f001f264f7ce7bae757c"}, + {file = "Pillow-9.4.0-2-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:83125753a60cfc8c412de5896d10a0a405e0bd88d0470ad82e0869ddf0cb3848"}, + {file = "Pillow-9.4.0-2-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:9e5f94742033898bfe84c93c831a6f552bb629448d4072dd312306bab3bd96f1"}, + {file = "Pillow-9.4.0-2-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:013016af6b3a12a2f40b704677f8b51f72cb007dac785a9933d5c86a72a7fe33"}, + {file = "Pillow-9.4.0-2-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:99d92d148dd03fd19d16175b6d355cc1b01faf80dae93c6c3eb4163709edc0a9"}, + {file = "Pillow-9.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:2968c58feca624bb6c8502f9564dd187d0e1389964898f5e9e1fbc8533169157"}, + {file = "Pillow-9.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c5c1362c14aee73f50143d74389b2c158707b4abce2cb055b7ad37ce60738d47"}, + {file = "Pillow-9.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd752c5ff1b4a870b7661234694f24b1d2b9076b8bf337321a814c612665f343"}, + {file = "Pillow-9.4.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9a3049a10261d7f2b6514d35bbb7a4dfc3ece4c4de14ef5876c4b7a23a0e566d"}, + {file = "Pillow-9.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:16a8df99701f9095bea8a6c4b3197da105df6f74e6176c5b410bc2df2fd29a57"}, + {file = "Pillow-9.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:94cdff45173b1919350601f82d61365e792895e3c3a3443cf99819e6fbf717a5"}, + {file = "Pillow-9.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:ed3e4b4e1e6de75fdc16d3259098de7c6571b1a6cc863b1a49e7d3d53e036070"}, + {file = "Pillow-9.4.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d5b2f8a31bd43e0f18172d8ac82347c8f37ef3e0b414431157718aa234991b28"}, + {file = "Pillow-9.4.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:09b89ddc95c248ee788328528e6a2996e09eaccddeeb82a5356e92645733be35"}, + {file = "Pillow-9.4.0-cp310-cp310-win32.whl", hash = "sha256:f09598b416ba39a8f489c124447b007fe865f786a89dbfa48bb5cf395693132a"}, + {file = "Pillow-9.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:f6e78171be3fb7941f9910ea15b4b14ec27725865a73c15277bc39f5ca4f8391"}, + {file = "Pillow-9.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:3fa1284762aacca6dc97474ee9c16f83990b8eeb6697f2ba17140d54b453e133"}, + {file = "Pillow-9.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:eaef5d2de3c7e9b21f1e762f289d17b726c2239a42b11e25446abf82b26ac132"}, + {file = "Pillow-9.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a4dfdae195335abb4e89cc9762b2edc524f3c6e80d647a9a81bf81e17e3fb6f0"}, + {file = "Pillow-9.4.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6abfb51a82e919e3933eb137e17c4ae9c0475a25508ea88993bb59faf82f3b35"}, + {file = "Pillow-9.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:451f10ef963918e65b8869e17d67db5e2f4ab40e716ee6ce7129b0cde2876eab"}, + {file = "Pillow-9.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:6663977496d616b618b6cfa43ec86e479ee62b942e1da76a2c3daa1c75933ef4"}, + {file = "Pillow-9.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:60e7da3a3ad1812c128750fc1bc14a7ceeb8d29f77e0a2356a8fb2aa8925287d"}, + {file = "Pillow-9.4.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:19005a8e58b7c1796bc0167862b1f54a64d3b44ee5d48152b06bb861458bc0f8"}, + {file = "Pillow-9.4.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f715c32e774a60a337b2bb8ad9839b4abf75b267a0f18806f6f4f5f1688c4b5a"}, + {file = "Pillow-9.4.0-cp311-cp311-win32.whl", hash = "sha256:b222090c455d6d1a64e6b7bb5f4035c4dff479e22455c9eaa1bdd4c75b52c80c"}, + {file = "Pillow-9.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:ba6612b6548220ff5e9df85261bddc811a057b0b465a1226b39bfb8550616aee"}, + {file = "Pillow-9.4.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:5f532a2ad4d174eb73494e7397988e22bf427f91acc8e6ebf5bb10597b49c493"}, + {file = "Pillow-9.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dd5a9c3091a0f414a963d427f920368e2b6a4c2f7527fdd82cde8ef0bc7a327"}, + {file = "Pillow-9.4.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef21af928e807f10bf4141cad4746eee692a0dd3ff56cfb25fce076ec3cc8abe"}, + {file = "Pillow-9.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:847b114580c5cc9ebaf216dd8c8dbc6b00a3b7ab0131e173d7120e6deade1f57"}, + {file = "Pillow-9.4.0-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:653d7fb2df65efefbcbf81ef5fe5e5be931f1ee4332c2893ca638c9b11a409c4"}, + {file = "Pillow-9.4.0-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:46f39cab8bbf4a384ba7cb0bc8bae7b7062b6a11cfac1ca4bc144dea90d4a9f5"}, + {file = "Pillow-9.4.0-cp37-cp37m-win32.whl", hash = "sha256:7ac7594397698f77bce84382929747130765f66406dc2cd8b4ab4da68ade4c6e"}, + {file = "Pillow-9.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:46c259e87199041583658457372a183636ae8cd56dbf3f0755e0f376a7f9d0e6"}, + {file = "Pillow-9.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:0e51f608da093e5d9038c592b5b575cadc12fd748af1479b5e858045fff955a9"}, + {file = "Pillow-9.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:765cb54c0b8724a7c12c55146ae4647e0274a839fb6de7bcba841e04298e1011"}, + {file = "Pillow-9.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:519e14e2c49fcf7616d6d2cfc5c70adae95682ae20f0395e9280db85e8d6c4df"}, + {file = "Pillow-9.4.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d197df5489004db87d90b918033edbeee0bd6df3848a204bca3ff0a903bef837"}, + {file = "Pillow-9.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0845adc64fe9886db00f5ab68c4a8cd933ab749a87747555cec1c95acea64b0b"}, + {file = "Pillow-9.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:e1339790c083c5a4de48f688b4841f18df839eb3c9584a770cbd818b33e26d5d"}, + {file = "Pillow-9.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:a96e6e23f2b79433390273eaf8cc94fec9c6370842e577ab10dabdcc7ea0a66b"}, + {file = "Pillow-9.4.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7cfc287da09f9d2a7ec146ee4d72d6ea1342e770d975e49a8621bf54eaa8f30f"}, + {file = "Pillow-9.4.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d7081c084ceb58278dd3cf81f836bc818978c0ccc770cbbb202125ddabec6628"}, + {file = "Pillow-9.4.0-cp38-cp38-win32.whl", hash = "sha256:df41112ccce5d47770a0c13651479fbcd8793f34232a2dd9faeccb75eb5d0d0d"}, + {file = "Pillow-9.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:7a21222644ab69ddd9967cfe6f2bb420b460dae4289c9d40ff9a4896e7c35c9a"}, + {file = "Pillow-9.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0f3269304c1a7ce82f1759c12ce731ef9b6e95b6df829dccd9fe42912cc48569"}, + {file = "Pillow-9.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cb362e3b0976dc994857391b776ddaa8c13c28a16f80ac6522c23d5257156bed"}, + {file = "Pillow-9.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a2e0f87144fcbbe54297cae708c5e7f9da21a4646523456b00cc956bd4c65815"}, + {file = "Pillow-9.4.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:28676836c7796805914b76b1837a40f76827ee0d5398f72f7dcc634bae7c6264"}, + {file = "Pillow-9.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0884ba7b515163a1a05440a138adeb722b8a6ae2c2b33aea93ea3118dd3a899e"}, + {file = "Pillow-9.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:53dcb50fbdc3fb2c55431a9b30caeb2f7027fcd2aeb501459464f0214200a503"}, + {file = "Pillow-9.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:e8c5cf126889a4de385c02a2c3d3aba4b00f70234bfddae82a5eaa3ee6d5e3e6"}, + {file = "Pillow-9.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6c6b1389ed66cdd174d040105123a5a1bc91d0aa7059c7261d20e583b6d8cbd2"}, + {file = "Pillow-9.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0dd4c681b82214b36273c18ca7ee87065a50e013112eea7d78c7a1b89a739153"}, + {file = "Pillow-9.4.0-cp39-cp39-win32.whl", hash = "sha256:6d9dfb9959a3b0039ee06c1a1a90dc23bac3b430842dcb97908ddde05870601c"}, + {file = "Pillow-9.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:54614444887e0d3043557d9dbc697dbb16cfb5a35d672b7a0fcc1ed0cf1c600b"}, + {file = "Pillow-9.4.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:b9b752ab91e78234941e44abdecc07f1f0d8f51fb62941d32995b8161f68cfe5"}, + {file = "Pillow-9.4.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3b56206244dc8711f7e8b7d6cad4663917cd5b2d950799425076681e8766286"}, + {file = "Pillow-9.4.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aabdab8ec1e7ca7f1434d042bf8b1e92056245fb179790dc97ed040361f16bfd"}, + {file = "Pillow-9.4.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:db74f5562c09953b2c5f8ec4b7dfd3f5421f31811e97d1dbc0a7c93d6e3a24df"}, + {file = "Pillow-9.4.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e9d7747847c53a16a729b6ee5e737cf170f7a16611c143d95aa60a109a59c336"}, + {file = "Pillow-9.4.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:b52ff4f4e002f828ea6483faf4c4e8deea8d743cf801b74910243c58acc6eda3"}, + {file = "Pillow-9.4.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:575d8912dca808edd9acd6f7795199332696d3469665ef26163cd090fa1f8bfa"}, + {file = "Pillow-9.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3c4ed2ff6760e98d262e0cc9c9a7f7b8a9f61aa4d47c58835cdaf7b0b8811bb"}, + {file = "Pillow-9.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e621b0246192d3b9cb1dc62c78cfa4c6f6d2ddc0ec207d43c0dedecb914f152a"}, + {file = "Pillow-9.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:8f127e7b028900421cad64f51f75c051b628db17fb00e099eb148761eed598c9"}, + {file = "Pillow-9.4.0.tar.gz", hash = "sha256:a1c2d7780448eb93fbcc3789bf3916aa5720d942e37945f4056680317f1cd23e"}, +] [package.extras] -docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"] +docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"] tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] [[package]] @@ -1420,36 +3577,83 @@ description = "Resolve a name to an object." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"}, + {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"}, +] + +[[package]] +name = "platformdirs" +version = "3.0.0" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "platformdirs-3.0.0-py3-none-any.whl", hash = "sha256:b1d5eb14f221506f50d6604a561f4c5786d9e80355219694a1b244bcd96f4567"}, + {file = "platformdirs-3.0.0.tar.gz", hash = "sha256:8a1228abb1ef82d788f74139988b137e78692984ec7b08eaa6c65f1723af28f9"}, +] + +[package.extras] +docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"] [[package]] name = "plotly" -version = "5.10.0" +version = "5.13.1" description = "An open-source, interactive data visualization library for Python" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "plotly-5.13.1-py2.py3-none-any.whl", hash = "sha256:f776a5c664908450c6c1727f61e8e2e22798d9c6c69d37a9057735365084a2fa"}, + {file = "plotly-5.13.1.tar.gz", hash = "sha256:90ee9a1fee0dda30e2830e129855081ea17bd1b06a553a62b62de15caff1a219"}, +] [package.dependencies] tenacity = ">=6.2.0" +[[package]] +name = "proglog" +version = "0.1.10" +description = "Log and progress bar manager for console, notebooks, web..." +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "proglog-0.1.10-py3-none-any.whl", hash = "sha256:19d5da037e8c813da480b741e3fa71fb1ac0a5b02bf21c41577c7f327485ec50"}, + {file = "proglog-0.1.10.tar.gz", hash = "sha256:658c28c9c82e4caeb2f25f488fff9ceace22f8d69b15d0c1c86d64275e4ddab4"}, +] + +[package.dependencies] +tqdm = "*" + [[package]] name = "prometheus-client" -version = "0.15.0" +version = "0.16.0" description = "Python client for the Prometheus monitoring system." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "prometheus_client-0.16.0-py3-none-any.whl", hash = "sha256:0836af6eb2c8f4fed712b2f279f6c0a8bbab29f9f4aa15276b91c7cb0d1616ab"}, + {file = "prometheus_client-0.16.0.tar.gz", hash = "sha256:a03e35b359f14dd1630898543e2120addfdeacd1a6069c1367ae90fd93ad3f48"}, +] [package.extras] twisted = ["twisted"] [[package]] name = "prompt-toolkit" -version = "3.0.31" +version = "3.0.37" description = "Library for building powerful interactive command lines in Python" category = "main" optional = false -python-versions = ">=3.6.2" +python-versions = ">=3.7.0" +files = [ + {file = "prompt_toolkit-3.0.37-py3-none-any.whl", hash = "sha256:6a2948ec427dfcc7c983027b1044b355db6aaa8be374f54ad2015471f7d81c5b"}, + {file = "prompt_toolkit-3.0.37.tar.gz", hash = "sha256:d5d73d4b5eb1a92ba884a88962b157f49b71e06c4348b417dd622b25cdd3800b"}, +] [package.dependencies] wcwidth = "*" @@ -1461,17 +3665,60 @@ description = "Protocol Buffers" category = "main" optional = false python-versions = ">=3.5" +files = [ + {file = "protobuf-3.19.6-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:010be24d5a44be7b0613750ab40bc8b8cedc796db468eae6c779b395f50d1fa1"}, + {file = "protobuf-3.19.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11478547958c2dfea921920617eb457bc26867b0d1aa065ab05f35080c5d9eb6"}, + {file = "protobuf-3.19.6-cp310-cp310-win32.whl", hash = "sha256:559670e006e3173308c9254d63facb2c03865818f22204037ab76f7a0ff70b5f"}, + {file = "protobuf-3.19.6-cp310-cp310-win_amd64.whl", hash = "sha256:347b393d4dd06fb93a77620781e11c058b3b0a5289262f094379ada2920a3730"}, + {file = "protobuf-3.19.6-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a8ce5ae0de28b51dff886fb922012dad885e66176663950cb2344c0439ecb473"}, + {file = "protobuf-3.19.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90b0d02163c4e67279ddb6dc25e063db0130fc299aefabb5d481053509fae5c8"}, + {file = "protobuf-3.19.6-cp36-cp36m-win32.whl", hash = "sha256:30f5370d50295b246eaa0296533403961f7e64b03ea12265d6dfce3a391d8992"}, + {file = "protobuf-3.19.6-cp36-cp36m-win_amd64.whl", hash = "sha256:0c0714b025ec057b5a7600cb66ce7c693815f897cfda6d6efb58201c472e3437"}, + {file = "protobuf-3.19.6-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:5057c64052a1f1dd7d4450e9aac25af6bf36cfbfb3a1cd89d16393a036c49157"}, + {file = "protobuf-3.19.6-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:bb6776bd18f01ffe9920e78e03a8676530a5d6c5911934c6a1ac6eb78973ecb6"}, + {file = "protobuf-3.19.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84a04134866861b11556a82dd91ea6daf1f4925746b992f277b84013a7cc1229"}, + {file = "protobuf-3.19.6-cp37-cp37m-win32.whl", hash = "sha256:4bc98de3cdccfb5cd769620d5785b92c662b6bfad03a202b83799b6ed3fa1fa7"}, + {file = "protobuf-3.19.6-cp37-cp37m-win_amd64.whl", hash = "sha256:aa3b82ca1f24ab5326dcf4ea00fcbda703e986b22f3d27541654f749564d778b"}, + {file = "protobuf-3.19.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2b2d2913bcda0e0ec9a784d194bc490f5dc3d9d71d322d070b11a0ade32ff6ba"}, + {file = "protobuf-3.19.6-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:d0b635cefebd7a8a0f92020562dead912f81f401af7e71f16bf9506ff3bdbb38"}, + {file = "protobuf-3.19.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a552af4dc34793803f4e735aabe97ffc45962dfd3a237bdde242bff5a3de684"}, + {file = "protobuf-3.19.6-cp38-cp38-win32.whl", hash = "sha256:0469bc66160180165e4e29de7f445e57a34ab68f49357392c5b2f54c656ab25e"}, + {file = "protobuf-3.19.6-cp38-cp38-win_amd64.whl", hash = "sha256:91d5f1e139ff92c37e0ff07f391101df77e55ebb97f46bbc1535298d72019462"}, + {file = "protobuf-3.19.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c0ccd3f940fe7f3b35a261b1dd1b4fc850c8fde9f74207015431f174be5976b3"}, + {file = "protobuf-3.19.6-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:30a15015d86b9c3b8d6bf78d5b8c7749f2512c29f168ca259c9d7727604d0e39"}, + {file = "protobuf-3.19.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:878b4cd080a21ddda6ac6d1e163403ec6eea2e206cf225982ae04567d39be7b0"}, + {file = "protobuf-3.19.6-cp39-cp39-win32.whl", hash = "sha256:5a0d7539a1b1fb7e76bf5faa0b44b30f812758e989e59c40f77a7dab320e79b9"}, + {file = "protobuf-3.19.6-cp39-cp39-win_amd64.whl", hash = "sha256:bbf5cea5048272e1c60d235c7bd12ce1b14b8a16e76917f371c718bd3005f045"}, + {file = "protobuf-3.19.6-py2.py3-none-any.whl", hash = "sha256:14082457dc02be946f60b15aad35e9f5c69e738f80ebbc0900a19bc83734a5a4"}, + {file = "protobuf-3.19.6.tar.gz", hash = "sha256:5f5540d57a43042389e87661c6eaa50f47c19c6176e8cf1c4f287aeefeccb5c4"}, +] [[package]] name = "psutil" -version = "5.9.3" +version = "5.9.4" description = "Cross-platform lib for process and system monitoring in Python." category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "psutil-5.9.4-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:c1ca331af862803a42677c120aff8a814a804e09832f166f226bfd22b56feee8"}, + {file = "psutil-5.9.4-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:68908971daf802203f3d37e78d3f8831b6d1014864d7a85937941bb35f09aefe"}, + {file = "psutil-5.9.4-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:3ff89f9b835100a825b14c2808a106b6fdcc4b15483141482a12c725e7f78549"}, + {file = "psutil-5.9.4-cp27-cp27m-win32.whl", hash = "sha256:852dd5d9f8a47169fe62fd4a971aa07859476c2ba22c2254d4a1baa4e10b95ad"}, + {file = "psutil-5.9.4-cp27-cp27m-win_amd64.whl", hash = "sha256:9120cd39dca5c5e1c54b59a41d205023d436799b1c8c4d3ff71af18535728e94"}, + {file = "psutil-5.9.4-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:6b92c532979bafc2df23ddc785ed116fced1f492ad90a6830cf24f4d1ea27d24"}, + {file = "psutil-5.9.4-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:efeae04f9516907be44904cc7ce08defb6b665128992a56957abc9b61dca94b7"}, + {file = "psutil-5.9.4-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:54d5b184728298f2ca8567bf83c422b706200bcbbfafdc06718264f9393cfeb7"}, + {file = "psutil-5.9.4-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:16653106f3b59386ffe10e0bad3bb6299e169d5327d3f187614b1cb8f24cf2e1"}, + {file = "psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08"}, + {file = "psutil-5.9.4-cp36-abi3-win32.whl", hash = "sha256:149555f59a69b33f056ba1c4eb22bb7bf24332ce631c44a319cec09f876aaeff"}, + {file = "psutil-5.9.4-cp36-abi3-win_amd64.whl", hash = "sha256:fd8522436a6ada7b4aad6638662966de0d61d241cb821239b2ae7013d41a43d4"}, + {file = "psutil-5.9.4-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6001c809253a29599bc0dfd5179d9f8a5779f9dffea1da0f13c53ee568115e1e"}, + {file = "psutil-5.9.4.tar.gz", hash = "sha256:3d7f9739eb435d4b1338944abe23f49584bde5395f27487d2ee25ad9a8774a62"}, +] [package.extras] -test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"] +test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] [[package]] name = "ptyprocess" @@ -1480,6 +3727,10 @@ description = "Run a subprocess in a pseudo terminal" category = "main" 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" @@ -1488,25 +3739,112 @@ description = "Safely evaluate AST nodes without side effects" category = "main" optional = false python-versions = "*" +files = [ + {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"}, + {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"}, +] [package.extras] tests = ["pytest"] [[package]] -name = "py" -version = "1.11.0" -description = "library with cross-python path, ini-parsing, io, code, log facilities" +name = "pyannote.algorithms" +version = "0.8" +description = "PyAnnote algorithms" category = "main" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = "*" +files = [ + {file = "pyannote.algorithms-0.8-py3-none-any.whl", hash = "sha256:383f88814ac832857706b9e0b57110c04ff852881f7e2715421a8c5f164b1707"}, + {file = "pyannote.algorithms-0.8.tar.gz", hash = "sha256:182595c7bbc002f2f2cd560c665cb0448cc8f51a5149e99ce0540613c99790ad"}, +] + +[package.dependencies] +docopt = ">=0.6.2" +joblib = ">=0.9.4" +munkres = ">=1.0.7" +networkx = ">=2.1" +"pyannote.core" = ">=1.3.1" +"pyannote.parser" = ">=0.6.5" +scikit-learn = ">=0.17" +scipy = ">=0.17.0" +six = ">=1.10.0" +sortedcollections = ">=1.0.1" +xarray = ">=0.8.2" + +[[package]] +name = "pyannote.core" +version = "5.0.0" +description = "Advanced data structures for handling temporal segments with attached labels." +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "pyannote.core-5.0.0-py3-none-any.whl", hash = "sha256:04920a6754492242ce0dc6017545595ab643870fe69a994f20c1a5f2da0544d0"}, + {file = "pyannote.core-5.0.0.tar.gz", hash = "sha256:1a55bcc8bd680ba6be5fa53efa3b6f3d2cdd67144c07b6b4d8d66d5cb0d2096f"}, +] + +[package.dependencies] +numpy = ">=1.10.4" +scipy = ">=1.1" +sortedcontainers = ">=2.0.4" +typing-extensions = ">=3.7.4.1" + +[package.extras] +doc = ["Sphinx (==2.2.2)", "ipython (==7.10.1)", "matplotlib (>=2.0.0)", "pandas (>=0.17.1)", "sphinx-rtd-theme (==0.4.3)"] +notebook = ["matplotlib (>=2.0.0)"] +testing = ["flake8 (==3.7.9)", "pandas (>=0.17.1)", "pytest"] + +[[package]] +name = "pyannote.parser" +version = "0.8" +description = "pyannote parsers (deprecated)" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "pyannote.parser-0.8-py3-none-any.whl", hash = "sha256:293e2e79490e92bd6d4df661c7e290e5896b708066030be35afa345ac03b5e34"}, + {file = "pyannote.parser-0.8.tar.gz", hash = "sha256:c14e04f60f80c346777c688b87cee64998bf43eeb60ed84e0ec77a82ea4d8f75"}, +] + +[package.dependencies] +"pyannote.core" = ">=3.3" +six = ">=1.10.0" [[package]] name = "pyarrow" -version = "10.0.0" +version = "11.0.0" description = "Python library for Apache Arrow" category = "dev" optional = false python-versions = ">=3.7" +files = [ + {file = "pyarrow-11.0.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:40bb42afa1053c35c749befbe72f6429b7b5f45710e85059cdd534553ebcf4f2"}, + {file = "pyarrow-11.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7c28b5f248e08dea3b3e0c828b91945f431f4202f1a9fe84d1012a761324e1ba"}, + {file = "pyarrow-11.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a37bc81f6c9435da3c9c1e767324ac3064ffbe110c4e460660c43e144be4ed85"}, + {file = "pyarrow-11.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad7c53def8dbbc810282ad308cc46a523ec81e653e60a91c609c2233ae407689"}, + {file = "pyarrow-11.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:25aa11c443b934078bfd60ed63e4e2d42461682b5ac10f67275ea21e60e6042c"}, + {file = "pyarrow-11.0.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:e217d001e6389b20a6759392a5ec49d670757af80101ee6b5f2c8ff0172e02ca"}, + {file = "pyarrow-11.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ad42bb24fc44c48f74f0d8c72a9af16ba9a01a2ccda5739a517aa860fa7e3d56"}, + {file = "pyarrow-11.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d942c690ff24a08b07cb3df818f542a90e4d359381fbff71b8f2aea5bf58841"}, + {file = "pyarrow-11.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f010ce497ca1b0f17a8243df3048055c0d18dcadbcc70895d5baf8921f753de5"}, + {file = "pyarrow-11.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:2f51dc7ca940fdf17893227edb46b6784d37522ce08d21afc56466898cb213b2"}, + {file = "pyarrow-11.0.0-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:1cbcfcbb0e74b4d94f0b7dde447b835a01bc1d16510edb8bb7d6224b9bf5bafc"}, + {file = "pyarrow-11.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaee8f79d2a120bf3e032d6d64ad20b3af6f56241b0ffc38d201aebfee879d00"}, + {file = "pyarrow-11.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:410624da0708c37e6a27eba321a72f29d277091c8f8d23f72c92bada4092eb5e"}, + {file = "pyarrow-11.0.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2d53ba72917fdb71e3584ffc23ee4fcc487218f8ff29dd6df3a34c5c48fe8c06"}, + {file = "pyarrow-11.0.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:f12932e5a6feb5c58192209af1d2607d488cb1d404fbc038ac12ada60327fa34"}, + {file = "pyarrow-11.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:41a1451dd895c0b2964b83d91019e46f15b5564c7ecd5dcb812dadd3f05acc97"}, + {file = "pyarrow-11.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:becc2344be80e5dce4e1b80b7c650d2fc2061b9eb339045035a1baa34d5b8f1c"}, + {file = "pyarrow-11.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f40be0d7381112a398b93c45a7e69f60261e7b0269cc324e9f739ce272f4f70"}, + {file = "pyarrow-11.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:362a7c881b32dc6b0eccf83411a97acba2774c10edcec715ccaab5ebf3bb0835"}, + {file = "pyarrow-11.0.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:ccbf29a0dadfcdd97632b4f7cca20a966bb552853ba254e874c66934931b9841"}, + {file = "pyarrow-11.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3e99be85973592051e46412accea31828da324531a060bd4585046a74ba45854"}, + {file = "pyarrow-11.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69309be84dcc36422574d19c7d3a30a7ea43804f12552356d1ab2a82a713c418"}, + {file = "pyarrow-11.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da93340fbf6f4e2a62815064383605b7ffa3e9eeb320ec839995b1660d69f89b"}, + {file = "pyarrow-11.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:caad867121f182d0d3e1a0d36f197df604655d0b466f1bc9bafa903aa95083e4"}, + {file = "pyarrow-11.0.0.tar.gz", hash = "sha256:5461c57dbdb211a632a48facb9b39bbeb8a7905ec95d768078525283caef5f6d"}, +] [package.dependencies] numpy = ">=1.16.6" @@ -1518,6 +3856,10 @@ description = "ASN.1 types and codecs" category = "main" optional = false python-versions = "*" +files = [ + {file = "pyasn1-0.4.8-py2.py3-none-any.whl", hash = "sha256:39c7e2ec30515947ff4e87fb6f456dfc6e84857d34be479c9d4a4ba4bf46aa5d"}, + {file = "pyasn1-0.4.8.tar.gz", hash = "sha256:aef77c9fb94a3ac588e87841208bdec464471d9871bd5050a287cc9a475cd0ba"}, +] [[package]] name = "pyasn1-modules" @@ -1526,6 +3868,10 @@ description = "A collection of ASN.1-based protocols modules." category = "main" optional = false python-versions = "*" +files = [ + {file = "pyasn1-modules-0.2.8.tar.gz", hash = "sha256:905f84c712230b2c592c19470d3ca8d552de726050d1d1716282a1f6146be65e"}, + {file = "pyasn1_modules-0.2.8-py2.py3-none-any.whl", hash = "sha256:a50b808ffeb97cb3601dd25981f6b016cbb3d31fbf57a8b8a87428e6158d0c74"}, +] [package.dependencies] pyasn1 = ">=0.4.6,<0.5.0" @@ -1537,6 +3883,106 @@ description = "C parser in Python" category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"}, + {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"}, +] + +[[package]] +name = "pycryptodome" +version = "3.17" +description = "Cryptographic library for Python" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "pycryptodome-3.17-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:2c5631204ebcc7ae33d11c43037b2dafe25e2ab9c1de6448eb6502ac69c19a56"}, + {file = "pycryptodome-3.17-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:04779cc588ad8f13c80a060b0b1c9d1c203d051d8a43879117fe6b8aaf1cd3fa"}, + {file = "pycryptodome-3.17-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:f812d58c5af06d939b2baccdda614a3ffd80531a26e5faca2c9f8b1770b2b7af"}, + {file = "pycryptodome-3.17-cp27-cp27m-manylinux2014_aarch64.whl", hash = "sha256:9453b4e21e752df8737fdffac619e93c9f0ec55ead9a45df782055eb95ef37d9"}, + {file = "pycryptodome-3.17-cp27-cp27m-musllinux_1_1_aarch64.whl", hash = "sha256:121d61663267f73692e8bde5ec0d23c9146465a0d75cad75c34f75c752527b01"}, + {file = "pycryptodome-3.17-cp27-cp27m-win32.whl", hash = "sha256:ba2d4fcb844c6ba5df4bbfee9352ad5352c5ae939ac450e06cdceff653280450"}, + {file = "pycryptodome-3.17-cp27-cp27m-win_amd64.whl", hash = "sha256:87e2ca3aa557781447428c4b6c8c937f10ff215202ab40ece5c13a82555c10d6"}, + {file = "pycryptodome-3.17-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:f44c0d28716d950135ff21505f2c764498eda9d8806b7c78764165848aa419bc"}, + {file = "pycryptodome-3.17-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:5a790bc045003d89d42e3b9cb3cc938c8561a57a88aaa5691512e8540d1ae79c"}, + {file = "pycryptodome-3.17-cp27-cp27mu-manylinux2014_aarch64.whl", hash = "sha256:d086d46774e27b280e4cece8ab3d87299cf0d39063f00f1e9290d096adc5662a"}, + {file = "pycryptodome-3.17-cp27-cp27mu-musllinux_1_1_aarch64.whl", hash = "sha256:5587803d5b66dfd99e7caa31ed91fba0fdee3661c5d93684028ad6653fce725f"}, + {file = "pycryptodome-3.17-cp35-abi3-macosx_10_9_universal2.whl", hash = "sha256:e7debd9c439e7b84f53be3cf4ba8b75b3d0b6e6015212355d6daf44ac672e210"}, + {file = "pycryptodome-3.17-cp35-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ca1ceb6303be1282148f04ac21cebeebdb4152590842159877778f9cf1634f09"}, + {file = "pycryptodome-3.17-cp35-abi3-manylinux2014_aarch64.whl", hash = "sha256:dc22cc00f804485a3c2a7e2010d9f14a705555f67020eb083e833cabd5bd82e4"}, + {file = "pycryptodome-3.17-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80ea8333b6a5f2d9e856ff2293dba2e3e661197f90bf0f4d5a82a0a6bc83a626"}, + {file = "pycryptodome-3.17-cp35-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c133f6721fba313722a018392a91e3c69d3706ae723484841752559e71d69dc6"}, + {file = "pycryptodome-3.17-cp35-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:333306eaea01fde50a73c4619e25631e56c4c61bd0fb0a2346479e67e3d3a820"}, + {file = "pycryptodome-3.17-cp35-abi3-musllinux_1_1_i686.whl", hash = "sha256:1a30f51b990994491cec2d7d237924e5b6bd0d445da9337d77de384ad7f254f9"}, + {file = "pycryptodome-3.17-cp35-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:909e36a43fe4a8a3163e9c7fc103867825d14a2ecb852a63d3905250b308a4e5"}, + {file = "pycryptodome-3.17-cp35-abi3-win32.whl", hash = "sha256:a3228728a3808bc9f18c1797ec1179a0efb5068c817b2ffcf6bcd012494dffb2"}, + {file = "pycryptodome-3.17-cp35-abi3-win_amd64.whl", hash = "sha256:9ec565e89a6b400eca814f28d78a9ef3f15aea1df74d95b28b7720739b28f37f"}, + {file = "pycryptodome-3.17-pp27-pypy_73-macosx_10_9_x86_64.whl", hash = "sha256:e1819b67bcf6ca48341e9b03c2e45b1c891fa8eb1a8458482d14c2805c9616f2"}, + {file = "pycryptodome-3.17-pp27-pypy_73-manylinux2010_x86_64.whl", hash = "sha256:f8e550caf52472ae9126953415e4fc554ab53049a5691c45b8816895c632e4d7"}, + {file = "pycryptodome-3.17-pp27-pypy_73-win32.whl", hash = "sha256:afbcdb0eda20a0e1d44e3a1ad6d4ec3c959210f4b48cabc0e387a282f4c7deb8"}, + {file = "pycryptodome-3.17-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a74f45aee8c5cc4d533e585e0e596e9f78521e1543a302870a27b0ae2106381e"}, + {file = "pycryptodome-3.17-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:38bbd6717eac084408b4094174c0805bdbaba1f57fc250fd0309ae5ec9ed7e09"}, + {file = "pycryptodome-3.17-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f68d6c8ea2974a571cacb7014dbaada21063a0375318d88ac1f9300bc81e93c3"}, + {file = "pycryptodome-3.17-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:8198f2b04c39d817b206ebe0db25a6653bb5f463c2319d6f6d9a80d012ac1e37"}, + {file = "pycryptodome-3.17-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3a232474cd89d3f51e4295abe248a8b95d0332d153bf46444e415409070aae1e"}, + {file = "pycryptodome-3.17-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4992ec965606054e8326e83db1c8654f0549cdb26fce1898dc1a20bc7684ec1c"}, + {file = "pycryptodome-3.17-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:53068e33c74f3b93a8158dacaa5d0f82d254a81b1002e0cd342be89fcb3433eb"}, + {file = "pycryptodome-3.17-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:74794a2e2896cd0cf56fdc9db61ef755fa812b4a4900fa46c49045663a92b8d0"}, + {file = "pycryptodome-3.17.tar.gz", hash = "sha256:bce2e2d8e82fcf972005652371a3e8731956a0c1fbb719cc897943b3695ad91b"}, +] + +[[package]] +name = "pydantic" +version = "1.10.5" +description = "Data validation and settings management using python type hints" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pydantic-1.10.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5920824fe1e21cbb3e38cf0f3dd24857c8959801d1031ce1fac1d50857a03bfb"}, + {file = "pydantic-1.10.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3bb99cf9655b377db1a9e47fa4479e3330ea96f4123c6c8200e482704bf1eda2"}, + {file = "pydantic-1.10.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2185a3b3d98ab4506a3f6707569802d2d92c3a7ba3a9a35683a7709ea6c2aaa2"}, + {file = "pydantic-1.10.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f582cac9d11c227c652d3ce8ee223d94eb06f4228b52a8adaafa9fa62e73d5c9"}, + {file = "pydantic-1.10.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c9e5b778b6842f135902e2d82624008c6a79710207e28e86966cd136c621bfee"}, + {file = "pydantic-1.10.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:72ef3783be8cbdef6bca034606a5de3862be6b72415dc5cb1fb8ddbac110049a"}, + {file = "pydantic-1.10.5-cp310-cp310-win_amd64.whl", hash = "sha256:45edea10b75d3da43cfda12f3792833a3fa70b6eee4db1ed6aed528cef17c74e"}, + {file = "pydantic-1.10.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:63200cd8af1af2c07964546b7bc8f217e8bda9d0a2ef0ee0c797b36353914984"}, + {file = "pydantic-1.10.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:305d0376c516b0dfa1dbefeae8c21042b57b496892d721905a6ec6b79494a66d"}, + {file = "pydantic-1.10.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1fd326aff5d6c36f05735c7c9b3d5b0e933b4ca52ad0b6e4b38038d82703d35b"}, + {file = "pydantic-1.10.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6bb0452d7b8516178c969d305d9630a3c9b8cf16fcf4713261c9ebd465af0d73"}, + {file = "pydantic-1.10.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:9a9d9155e2a9f38b2eb9374c88f02fd4d6851ae17b65ee786a87d032f87008f8"}, + {file = "pydantic-1.10.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f836444b4c5ece128b23ec36a446c9ab7f9b0f7981d0d27e13a7c366ee163f8a"}, + {file = "pydantic-1.10.5-cp311-cp311-win_amd64.whl", hash = "sha256:8481dca324e1c7b715ce091a698b181054d22072e848b6fc7895cd86f79b4449"}, + {file = "pydantic-1.10.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:87f831e81ea0589cd18257f84386bf30154c5f4bed373b7b75e5cb0b5d53ea87"}, + {file = "pydantic-1.10.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ce1612e98c6326f10888df951a26ec1a577d8df49ddcaea87773bfbe23ba5cc"}, + {file = "pydantic-1.10.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58e41dd1e977531ac6073b11baac8c013f3cd8706a01d3dc74e86955be8b2c0c"}, + {file = "pydantic-1.10.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:6a4b0aab29061262065bbdede617ef99cc5914d1bf0ddc8bcd8e3d7928d85bd6"}, + {file = "pydantic-1.10.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:36e44a4de37b8aecffa81c081dbfe42c4d2bf9f6dff34d03dce157ec65eb0f15"}, + {file = "pydantic-1.10.5-cp37-cp37m-win_amd64.whl", hash = "sha256:261f357f0aecda005934e413dfd7aa4077004a174dafe414a8325e6098a8e419"}, + {file = "pydantic-1.10.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b429f7c457aebb7fbe7cd69c418d1cd7c6fdc4d3c8697f45af78b8d5a7955760"}, + {file = "pydantic-1.10.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:663d2dd78596c5fa3eb996bc3f34b8c2a592648ad10008f98d1348be7ae212fb"}, + {file = "pydantic-1.10.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51782fd81f09edcf265823c3bf43ff36d00db246eca39ee765ef58dc8421a642"}, + {file = "pydantic-1.10.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c428c0f64a86661fb4873495c4fac430ec7a7cef2b8c1c28f3d1a7277f9ea5ab"}, + {file = "pydantic-1.10.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:76c930ad0746c70f0368c4596020b736ab65b473c1f9b3872310a835d852eb19"}, + {file = "pydantic-1.10.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3257bd714de9db2102b742570a56bf7978e90441193acac109b1f500290f5718"}, + {file = "pydantic-1.10.5-cp38-cp38-win_amd64.whl", hash = "sha256:f5bee6c523d13944a1fdc6f0525bc86dbbd94372f17b83fa6331aabacc8fd08e"}, + {file = "pydantic-1.10.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:532e97c35719f137ee5405bd3eeddc5c06eb91a032bc755a44e34a712420daf3"}, + {file = "pydantic-1.10.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ca9075ab3de9e48b75fa8ccb897c34ccc1519177ad8841d99f7fd74cf43be5bf"}, + {file = "pydantic-1.10.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd46a0e6296346c477e59a954da57beaf9c538da37b9df482e50f836e4a7d4bb"}, + {file = "pydantic-1.10.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3353072625ea2a9a6c81ad01b91e5c07fa70deb06368c71307529abf70d23325"}, + {file = "pydantic-1.10.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:3f9d9b2be177c3cb6027cd67fbf323586417868c06c3c85d0d101703136e6b31"}, + {file = "pydantic-1.10.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b473d00ccd5c2061fd896ac127b7755baad233f8d996ea288af14ae09f8e0d1e"}, + {file = "pydantic-1.10.5-cp39-cp39-win_amd64.whl", hash = "sha256:5f3bc8f103b56a8c88021d481410874b1f13edf6e838da607dcb57ecff9b4594"}, + {file = "pydantic-1.10.5-py3-none-any.whl", hash = "sha256:7c5b94d598c90f2f46b3a983ffb46ab806a67099d118ae0da7ef21a2a4033b28"}, + {file = "pydantic-1.10.5.tar.gz", hash = "sha256:9e337ac83686645a46db0e825acceea8e02fca4062483f40e9ae178e8bd1103a"}, +] + +[package.dependencies] +typing-extensions = ">=4.2.0" + +[package.extras] +dotenv = ["python-dotenv (>=0.10.4)"] +email = ["email-validator (>=1.0.3)"] [[package]] name = "pydeck" @@ -1545,6 +3991,10 @@ description = "Widget for deck.gl maps" category = "dev" optional = false python-versions = ">=3.7" +files = [ + {file = "pydeck-0.8.0-py2.py3-none-any.whl", hash = "sha256:a8fa7757c6f24bba033af39db3147cb020eef44012ba7e60d954de187f9ed4d5"}, + {file = "pydeck-0.8.0.tar.gz", hash = "sha256:07edde833f7cfcef6749124351195aa7dcd24663d4909fd7898dbd0b6fbc01ec"}, +] [package.dependencies] jinja2 = ">=2.10.1" @@ -1552,15 +4002,31 @@ numpy = ">=1.16.4" [package.extras] carto = ["pydeck-carto"] -jupyter = ["ipywidgets (>=7,<8)", "traitlets (>=4.3.2)", "ipython (>=5.8.0)", "ipykernel (>=5.1.2)"] +jupyter = ["ipykernel (>=5.1.2)", "ipython (>=5.8.0)", "ipywidgets (>=7,<8)", "traitlets (>=4.3.2)"] + +[[package]] +name = "pydub" +version = "0.25.1" +description = "Manipulate audio with an simple and easy high level interface" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "pydub-0.25.1-py2.py3-none-any.whl", hash = "sha256:65617e33033874b59d87db603aa1ed450633288aefead953b30bded59cb599a6"}, + {file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"}, +] [[package]] name = "pygments" -version = "2.13.0" +version = "2.14.0" description = "Pygments is a syntax highlighting package written in Python." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "Pygments-2.14.0-py3-none-any.whl", hash = "sha256:fa7bd7bd2771287c0de303af8bfdfc731f51bd2c6a47ab69d117138893b82717"}, + {file = "Pygments-2.14.0.tar.gz", hash = "sha256:b3ed06a9e8ac9a9aae5a6f5dbe78a8a58655d17b43b93c078f094ddc476ae297"}, +] [package.extras] plugins = ["importlib-metadata"] @@ -1572,22 +4038,61 @@ description = "A development tool to measure, monitor and analyze the memory beh category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "Pympler-1.0.1-py3-none-any.whl", hash = "sha256:d260dda9ae781e1eab6ea15bacb84015849833ba5555f141d2d9b7b7473b307d"}, + {file = "Pympler-1.0.1.tar.gz", hash = "sha256:993f1a3599ca3f4fcd7160c7545ad06310c9e12f70174ae7ae8d4e25f6c5d3fa"}, +] [[package]] name = "pymupdf" -version = "1.20.2" +version = "1.21.1" description = "Python bindings for the PDF toolkit and renderer MuPDF" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "PyMuPDF-1.21.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e334e7baea701d4029faa034520c722c9c55e8315b7ccf4d1b686eba8e293f32"}, + {file = "PyMuPDF-1.21.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:19fe49966f3a072a258cdfbab3d8c5b11cb7c2fb7c8e6abf3398d9e55af6f1ca"}, + {file = "PyMuPDF-1.21.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36181c4cb27740791d611d0224dd18ac78e23a1f06aa2151394c5b9194b4f885"}, + {file = "PyMuPDF-1.21.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5273ff0c3bf08428ef956c4a5e5e0b475667cc3e1cb7b41d9f5131636996e59"}, + {file = "PyMuPDF-1.21.1-cp310-cp310-win32.whl", hash = "sha256:7e5a1ed49df5eee7834fb37adb5c94354e98b23fa997e67034b157790a31bbfc"}, + {file = "PyMuPDF-1.21.1-cp310-cp310-win_amd64.whl", hash = "sha256:c040c9ac98b7a1afc06fe55ffedbf6a305c24bf1c97597838f208c68035971f4"}, + {file = "PyMuPDF-1.21.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ac2f61632bcd4c9532a26b52684ca05a4c8b7b96d6be947134b3e01a420904fd"}, + {file = "PyMuPDF-1.21.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:eb29cbfd34d5ef99c657539c4f48953ea15f4b1e4e162b48efcffa5c4101ce1d"}, + {file = "PyMuPDF-1.21.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:06860a8e60ba14f25aac5db90803d59b1a2fdac24c2b65dc6f9876ff36df586e"}, + {file = "PyMuPDF-1.21.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff7d01cb563c3ca18880ba6a2661351f07b8a54f6599272be2e3568524e5e721"}, + {file = "PyMuPDF-1.21.1-cp311-cp311-win32.whl", hash = "sha256:1fc4c8aee186326b3f138be8a4ac16a343e76c8ec45b5afab2d105a5e3b02d80"}, + {file = "PyMuPDF-1.21.1-cp311-cp311-win_amd64.whl", hash = "sha256:dab0459791175dea813e6130e08b9026d3b9d66854f0dbb7ab51ab1619875d24"}, + {file = "PyMuPDF-1.21.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2a870f02b2767e9371bbb3d0263c3994f59679a64b1b9dd1a6b0d9a15c963d68"}, + {file = "PyMuPDF-1.21.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f99e6c2109c38c17cd5f1b82c9d35f1e815a71a3464b765f41f3c8cf875dcf4c"}, + {file = "PyMuPDF-1.21.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf204723782ca481cd120e1ab124b0d59fd387103e15675ae462415bfa22b3a2"}, + {file = "PyMuPDF-1.21.1-cp37-cp37m-win32.whl", hash = "sha256:b2b197bb0f00159f4584f51c7bf4d897aa5fb88de3c1f964347047a710c1f1be"}, + {file = "PyMuPDF-1.21.1-cp37-cp37m-win_amd64.whl", hash = "sha256:dddd3fe6fa20b3e2642c10e66c97cfd3727010d3dafe653f16dce52396ef0208"}, + {file = "PyMuPDF-1.21.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c09cbc7924ddf99452bb0d70438d64753815d75526d6d94293249f1665691d84"}, + {file = "PyMuPDF-1.21.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:fdba6bf77d1d3cd57ea93181c494f4b138523000ff74b25c523be7dce0058ac9"}, + {file = "PyMuPDF-1.21.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b08b6afbb656f0e4582a8ee44c2ce0ab6235bb81830ec92d79f6e4893db639c"}, + {file = "PyMuPDF-1.21.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c85efbc08c83c8d91ae1cc7bb7e06c7cd7e203e9d0ed806ff22db173999f30c"}, + {file = "PyMuPDF-1.21.1-cp38-cp38-win32.whl", hash = "sha256:fa0334247549def667d9f5358e558ec93815c78cebdb927a81dda38d681bf550"}, + {file = "PyMuPDF-1.21.1-cp38-cp38-win_amd64.whl", hash = "sha256:d85c360abd72c14e302a2cefd02ebd01568f5c669700c7fc1ed056e9cdf3c285"}, + {file = "PyMuPDF-1.21.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f3ffa9a8c643da39aba80e787d2c1771d5be07b0e15bf193ddd1fda888bbca88"}, + {file = "PyMuPDF-1.21.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:18fbdcb35c144b26a3a507bfa73f98401a27819f29dca496eb470b9a1ec09fad"}, + {file = "PyMuPDF-1.21.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2bb5f9ce33054ebfbf63c41e68606d51e3ad5d85def0af5ebb6f0dd276e61037"}, + {file = "PyMuPDF-1.21.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2fbb96336c5cc065f6e5359f034a689e4d64ca7697dc5965b03f105b2ecb7ba1"}, + {file = "PyMuPDF-1.21.1-cp39-cp39-win32.whl", hash = "sha256:909afad284c24f25a831b37e433e444dc4cb5b3e38b3f761b1e4acad5c65327d"}, + {file = "PyMuPDF-1.21.1-cp39-cp39-win_amd64.whl", hash = "sha256:069ba56c28cb9b603d016c63f23a21bf22a00c5b2a92286bf3dd6a2759e119d4"}, + {file = "PyMuPDF-1.21.1.tar.gz", hash = "sha256:f815741a435c62a0036bbcbf5fa6c533567bd69c5338d413714fc57b22db93e0"}, +] [[package]] name = "pynndescent" -version = "0.5.7" +version = "0.5.8" description = "Nearest Neighbor Descent" category = "main" optional = false python-versions = "*" +files = [ + {file = "pynndescent-0.5.8.tar.gz", hash = "sha256:a7c552569bf604a101fd54bba1d27c12389e065945dee3a6777a518c63a46f2b"}, +] [package.dependencies] joblib = ">=0.11" @@ -1603,17 +4108,65 @@ description = "pyparsing module - Classes and methods to define and execute pars category = "main" optional = false python-versions = ">=3.6.8" +files = [ + {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"}, + {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"}, +] [package.extras] -diagrams = ["railroad-diagrams", "jinja2"] +diagrams = ["jinja2", "railroad-diagrams"] + +[[package]] +name = "pyro4" +version = "4.82" +description = "distributed object middleware for Python (RPC)" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "Pyro4-4.82-py2.py3-none-any.whl", hash = "sha256:bbf5d7413e616d3e1978a05d7caca62eec59692d2dab75dd22a4426ef9b8a691"}, + {file = "Pyro4-4.82.tar.gz", hash = "sha256:511f5b0804e92dd77dc33adf9c947787e3f9e9c5a96b12162f0557a7c4ce21fb"}, +] + +[package.dependencies] +serpent = {version = ">=1.27", markers = "python_version >= \"3.2\""} [[package]] name = "pyrsistent" -version = "0.18.1" +version = "0.19.3" description = "Persistent/Functional/Immutable data structures" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "pyrsistent-0.19.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:20460ac0ea439a3e79caa1dbd560344b64ed75e85d8703943e0b66c2a6150e4a"}, + {file = "pyrsistent-0.19.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c18264cb84b5e68e7085a43723f9e4c1fd1d935ab240ce02c0324a8e01ccb64"}, + {file = "pyrsistent-0.19.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4b774f9288dda8d425adb6544e5903f1fb6c273ab3128a355c6b972b7df39dcf"}, + {file = "pyrsistent-0.19.3-cp310-cp310-win32.whl", hash = "sha256:5a474fb80f5e0d6c9394d8db0fc19e90fa540b82ee52dba7d246a7791712f74a"}, + {file = "pyrsistent-0.19.3-cp310-cp310-win_amd64.whl", hash = "sha256:49c32f216c17148695ca0e02a5c521e28a4ee6c5089f97e34fe24163113722da"}, + {file = "pyrsistent-0.19.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f0774bf48631f3a20471dd7c5989657b639fd2d285b861237ea9e82c36a415a9"}, + {file = "pyrsistent-0.19.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab2204234c0ecd8b9368dbd6a53e83c3d4f3cab10ecaf6d0e772f456c442393"}, + {file = "pyrsistent-0.19.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e42296a09e83028b3476f7073fcb69ffebac0e66dbbfd1bd847d61f74db30f19"}, + {file = "pyrsistent-0.19.3-cp311-cp311-win32.whl", hash = "sha256:64220c429e42a7150f4bfd280f6f4bb2850f95956bde93c6fda1b70507af6ef3"}, + {file = "pyrsistent-0.19.3-cp311-cp311-win_amd64.whl", hash = "sha256:016ad1afadf318eb7911baa24b049909f7f3bb2c5b1ed7b6a8f21db21ea3faa8"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c4db1bd596fefd66b296a3d5d943c94f4fac5bcd13e99bffe2ba6a759d959a28"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aeda827381f5e5d65cced3024126529ddc4289d944f75e090572c77ceb19adbf"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:42ac0b2f44607eb92ae88609eda931a4f0dfa03038c44c772e07f43e738bcac9"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-win32.whl", hash = "sha256:e8f2b814a3dc6225964fa03d8582c6e0b6650d68a232df41e3cc1b66a5d2f8d1"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-win_amd64.whl", hash = "sha256:c9bb60a40a0ab9aba40a59f68214eed5a29c6274c83b2cc206a359c4a89fa41b"}, + {file = "pyrsistent-0.19.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a2471f3f8693101975b1ff85ffd19bb7ca7dd7c38f8a81701f67d6b4f97b87d8"}, + {file = "pyrsistent-0.19.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc5d149f31706762c1f8bda2e8c4f8fead6e80312e3692619a75301d3dbb819a"}, + {file = "pyrsistent-0.19.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3311cb4237a341aa52ab8448c27e3a9931e2ee09561ad150ba94e4cfd3fc888c"}, + {file = "pyrsistent-0.19.3-cp38-cp38-win32.whl", hash = "sha256:f0e7c4b2f77593871e918be000b96c8107da48444d57005b6a6bc61fb4331b2c"}, + {file = "pyrsistent-0.19.3-cp38-cp38-win_amd64.whl", hash = "sha256:c147257a92374fde8498491f53ffa8f4822cd70c0d85037e09028e478cababb7"}, + {file = "pyrsistent-0.19.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b735e538f74ec31378f5a1e3886a26d2ca6351106b4dfde376a26fc32a044edc"}, + {file = "pyrsistent-0.19.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:99abb85579e2165bd8522f0c0138864da97847875ecbd45f3e7e2af569bfc6f2"}, + {file = "pyrsistent-0.19.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a8cb235fa6d3fd7aae6a4f1429bbb1fec1577d978098da1252f0489937786f3"}, + {file = "pyrsistent-0.19.3-cp39-cp39-win32.whl", hash = "sha256:c74bed51f9b41c48366a286395c67f4e894374306b197e62810e0fdaf2364da2"}, + {file = "pyrsistent-0.19.3-cp39-cp39-win_amd64.whl", hash = "sha256:878433581fc23e906d947a6814336eee031a00e6defba224234169ae3d3d6a98"}, + {file = "pyrsistent-0.19.3-py3-none-any.whl", hash = "sha256:ccf0d6bd208f8111179f0c26fdf84ed7c3891982f2edaeae7422575f47e66b64"}, + {file = "pyrsistent-0.19.3.tar.gz", hash = "sha256:1a2994773706bbb4995c31a97bc94f1418314923bd1048c6d964837040376440"}, +] [[package]] name = "pysocks" @@ -1622,6 +4175,23 @@ description = "A Python SOCKS client module. See https://github.com/Anorov/PySoc category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"}, + {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"}, + {file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"}, +] + +[[package]] +name = "pytextgrid" +version = "0.1.4" +description = "A toolbox for manipulating praat textgrid in python: creation, modification, analysis" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "pytextgrid-0.1.4-py3-none-any.whl", hash = "sha256:6bb330c168fd6e6addc17f8ea040caee66eacfaa1e84bfa1c5a8d9882e7ca65c"}, + {file = "pytextgrid-0.1.4.tar.gz", hash = "sha256:1b0794d55747ba6baf5bd5329403300b78dd91e53b170ddfdc0a1557f552c649"}, +] [[package]] name = "python-dateutil" @@ -1630,36 +4200,79 @@ description = "Extensions to the standard Python datetime module" category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +files = [ + {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, + {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, +] [package.dependencies] six = ">=1.5" [[package]] name = "python-dotenv" -version = "0.21.0" +version = "1.0.0" description = "Read key-value pairs from a .env file and set them as environment variables" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +files = [ + {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"}, + {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"}, +] [package.extras] cli = ["click (>=5.0)"] [[package]] -name = "pytube" -version = "12.1.0" -description = "Python 3 library for downloading YouTube Videos." +name = "python-json-logger" +version = "2.0.7" +description = "A python library adding a json log formatter" category = "main" 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 = "2022.5" -description = "World timezone definitions, modern and historical" +name = "python-multipart" +version = "0.0.6" +description = "A streaming multipart parser for Python" category = "main" optional = false -python-versions = "*" +python-versions = ">=3.7" +files = [ + {file = "python_multipart-0.0.6-py3-none-any.whl", hash = "sha256:ee698bab5ef148b0a760751c261902cd096e57e10558e11aca17646b74ee1c18"}, + {file = "python_multipart-0.0.6.tar.gz", hash = "sha256:e9925a80bb668529f1b67c7fdb0a5dacdd7cbfc6fb0bff3ea443fe22bdd62132"}, +] + +[package.extras] +dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==1.7.3)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"] + +[[package]] +name = "pytube" +version = "12.1.2" +description = "Python 3 library for downloading YouTube Videos." +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "pytube-12.1.2-py3-none-any.whl", hash = "sha256:a844800002744f33107f4440543f9a5f1fd9fcd97dad35cf2dd4803212352d9a"}, + {file = "pytube-12.1.2.tar.gz", hash = "sha256:2d34a484f81cae106ea84e8c00871f97dcc293e8ed8c074e65abc4119f02c98f"}, +] + +[[package]] +name = "pytz" +version = "2022.7.1" +description = "World timezone definitions, modern and historical" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "pytz-2022.7.1-py2.py3-none-any.whl", hash = "sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a"}, + {file = "pytz-2022.7.1.tar.gz", hash = "sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0"}, +] [[package]] name = "pytz-deprecation-shim" @@ -1668,26 +4281,92 @@ description = "Shims to make deprecation of pytz easier" category = "dev" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "pytz_deprecation_shim-0.1.0.post0-py2.py3-none-any.whl", hash = "sha256:8314c9692a636c8eb3bda879b9f119e350e93223ae83e70e80c31675a0fdc1a6"}, + {file = "pytz_deprecation_shim-0.1.0.post0.tar.gz", hash = "sha256:af097bae1b616dde5c5744441e2ddc69e74dfdcb0c263129610d85b87445a59d"}, +] [package.dependencies] "backports.zoneinfo" = {version = "*", markers = "python_version >= \"3.6\" and python_version < \"3.9\""} tzdata = {version = "*", markers = "python_version >= \"3.6\""} +[[package]] +name = "pywavelets" +version = "1.4.1" +description = "PyWavelets, wavelet transform module" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "PyWavelets-1.4.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:d854411eb5ee9cb4bc5d0e66e3634aeb8f594210f6a1bed96dbed57ec70f181c"}, + {file = "PyWavelets-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:231b0e0b1cdc1112f4af3c24eea7bf181c418d37922a67670e9bf6cfa2d544d4"}, + {file = "PyWavelets-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:754fa5085768227c4f4a26c1e0c78bc509a266d9ebd0eb69a278be7e3ece943c"}, + {file = "PyWavelets-1.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da7b9c006171be1f9ddb12cc6e0d3d703b95f7f43cb5e2c6f5f15d3233fcf202"}, + {file = "PyWavelets-1.4.1-cp310-cp310-win32.whl", hash = "sha256:67a0d28a08909f21400cb09ff62ba94c064882ffd9e3a6b27880a111211d59bd"}, + {file = "PyWavelets-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:91d3d393cffa634f0e550d88c0e3f217c96cfb9e32781f2960876f1808d9b45b"}, + {file = "PyWavelets-1.4.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:64c6bac6204327321db30b775060fbe8e8642316e6bff17f06b9f34936f88875"}, + {file = "PyWavelets-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3f19327f2129fb7977bc59b966b4974dfd72879c093e44a7287500a7032695de"}, + {file = "PyWavelets-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ad987748f60418d5f4138db89d82ba0cb49b086e0cbb8fd5c3ed4a814cfb705e"}, + {file = "PyWavelets-1.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:875d4d620eee655346e3589a16a73790cf9f8917abba062234439b594e706784"}, + {file = "PyWavelets-1.4.1-cp311-cp311-win32.whl", hash = "sha256:7231461d7a8eb3bdc7aa2d97d9f67ea5a9f8902522818e7e2ead9c2b3408eeb1"}, + {file = "PyWavelets-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:daf0aa79842b571308d7c31a9c43bc99a30b6328e6aea3f50388cd8f69ba7dbc"}, + {file = "PyWavelets-1.4.1-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:ab7da0a17822cd2f6545626946d3b82d1a8e106afc4b50e3387719ba01c7b966"}, + {file = "PyWavelets-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:578af438a02a86b70f1975b546f68aaaf38f28fb082a61ceb799816049ed18aa"}, + {file = "PyWavelets-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cb5ca8d11d3f98e89e65796a2125be98424d22e5ada360a0dbabff659fca0fc"}, + {file = "PyWavelets-1.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:058b46434eac4c04dd89aeef6fa39e4b6496a951d78c500b6641fd5b2cc2f9f4"}, + {file = "PyWavelets-1.4.1-cp38-cp38-win32.whl", hash = "sha256:de7cd61a88a982edfec01ea755b0740e94766e00a1ceceeafef3ed4c85c605cd"}, + {file = "PyWavelets-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:7ab8d9db0fe549ab2ee0bea61f614e658dd2df419d5b75fba47baa761e95f8f2"}, + {file = "PyWavelets-1.4.1-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:23bafd60350b2b868076d976bdd92f950b3944f119b4754b1d7ff22b7acbf6c6"}, + {file = "PyWavelets-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d0e56cd7a53aed3cceca91a04d62feb3a0aca6725b1912d29546c26f6ea90426"}, + {file = "PyWavelets-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:030670a213ee8fefa56f6387b0c8e7d970c7f7ad6850dc048bd7c89364771b9b"}, + {file = "PyWavelets-1.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:71ab30f51ee4470741bb55fc6b197b4a2b612232e30f6ac069106f0156342356"}, + {file = "PyWavelets-1.4.1-cp39-cp39-win32.whl", hash = "sha256:47cac4fa25bed76a45bc781a293c26ac63e8eaae9eb8f9be961758d22b58649c"}, + {file = "PyWavelets-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:88aa5449e109d8f5e7f0adef85f7f73b1ab086102865be64421a3a3d02d277f4"}, + {file = "PyWavelets-1.4.1.tar.gz", hash = "sha256:6437af3ddf083118c26d8f97ab43b0724b956c9f958e9ea788659f6a2834ba93"}, +] + +[package.dependencies] +numpy = ">=1.17.3" + [[package]] name = "pywin32" -version = "225" +version = "305" description = "Python for Window Extensions" category = "main" optional = false python-versions = "*" +files = [ + {file = "pywin32-305-cp310-cp310-win32.whl", hash = "sha256:421f6cd86e84bbb696d54563c48014b12a23ef95a14e0bdba526be756d89f116"}, + {file = "pywin32-305-cp310-cp310-win_amd64.whl", hash = "sha256:73e819c6bed89f44ff1d690498c0a811948f73777e5f97c494c152b850fad478"}, + {file = "pywin32-305-cp310-cp310-win_arm64.whl", hash = "sha256:742eb905ce2187133a29365b428e6c3b9001d79accdc30aa8969afba1d8470f4"}, + {file = "pywin32-305-cp311-cp311-win32.whl", hash = "sha256:19ca459cd2e66c0e2cc9a09d589f71d827f26d47fe4a9d09175f6aa0256b51c2"}, + {file = "pywin32-305-cp311-cp311-win_amd64.whl", hash = "sha256:326f42ab4cfff56e77e3e595aeaf6c216712bbdd91e464d167c6434b28d65990"}, + {file = "pywin32-305-cp311-cp311-win_arm64.whl", hash = "sha256:4ecd404b2c6eceaca52f8b2e3e91b2187850a1ad3f8b746d0796a98b4cea04db"}, + {file = "pywin32-305-cp36-cp36m-win32.whl", hash = "sha256:48d8b1659284f3c17b68587af047d110d8c44837736b8932c034091683e05863"}, + {file = "pywin32-305-cp36-cp36m-win_amd64.whl", hash = "sha256:13362cc5aa93c2beaf489c9c9017c793722aeb56d3e5166dadd5ef82da021fe1"}, + {file = "pywin32-305-cp37-cp37m-win32.whl", hash = "sha256:a55db448124d1c1484df22fa8bbcbc45c64da5e6eae74ab095b9ea62e6d00496"}, + {file = "pywin32-305-cp37-cp37m-win_amd64.whl", hash = "sha256:109f98980bfb27e78f4df8a51a8198e10b0f347257d1e265bb1a32993d0c973d"}, + {file = "pywin32-305-cp38-cp38-win32.whl", hash = "sha256:9dd98384da775afa009bc04863426cb30596fd78c6f8e4e2e5bbf4edf8029504"}, + {file = "pywin32-305-cp38-cp38-win_amd64.whl", hash = "sha256:56d7a9c6e1a6835f521788f53b5af7912090674bb84ef5611663ee1595860fc7"}, + {file = "pywin32-305-cp39-cp39-win32.whl", hash = "sha256:9d968c677ac4d5cbdaa62fd3014ab241718e619d8e36ef8e11fb930515a1e918"}, + {file = "pywin32-305-cp39-cp39-win_amd64.whl", hash = "sha256:50768c6b7c3f0b38b7fb14dd4104da93ebced5f1a50dc0e834594bff6fbe1271"}, +] [[package]] name = "pywinpty" -version = "2.0.8" +version = "2.0.10" description = "Pseudo terminal support for Windows from Python." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "pywinpty-2.0.10-cp310-none-win_amd64.whl", hash = "sha256:4c7d06ad10f6e92bc850a467f26d98f4f30e73d2fe5926536308c6ae0566bc16"}, + {file = "pywinpty-2.0.10-cp311-none-win_amd64.whl", hash = "sha256:7ffbd66310b83e42028fc9df7746118978d94fba8c1ebf15a7c1275fdd80b28a"}, + {file = "pywinpty-2.0.10-cp37-none-win_amd64.whl", hash = "sha256:38cb924f2778b5751ef91a75febd114776b3af0ae411bc667be45dd84fc881d3"}, + {file = "pywinpty-2.0.10-cp38-none-win_amd64.whl", hash = "sha256:902d79444b29ad1833b8d5c3c9aabdfd428f4f068504430df18074007c8c0de8"}, + {file = "pywinpty-2.0.10-cp39-none-win_amd64.whl", hash = "sha256:3c46aef80dd50979aff93de199e4a00a8ee033ba7a03cadf0a91fed45f0c39d7"}, + {file = "pywinpty-2.0.10.tar.gz", hash = "sha256:cdbb5694cf8c7242c2ecfaca35c545d31fa5d5814c3d67a4e628f803f680ebea"}, +] [[package]] name = "pyyaml" @@ -1696,6 +4375,48 @@ description = "YAML parser and emitter for Python" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"}, + {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"}, + {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"}, + {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"}, + {file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"}, + {file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"}, + {file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"}, + {file = "PyYAML-6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d4b0ba9512519522b118090257be113b9468d804b19d63c71dbcf4a48fa32358"}, + {file = "PyYAML-6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:81957921f441d50af23654aa6c5e5eaf9b06aba7f0a19c18a538dc7ef291c5a1"}, + {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afa17f5bc4d1b10afd4466fd3a44dc0e245382deca5b3c353d8b757f9e3ecb8d"}, + {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dbad0e9d368bb989f4515da330b88a057617d16b6a8245084f1b05400f24609f"}, + {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:432557aa2c09802be39460360ddffd48156e30721f5e8d917f01d31694216782"}, + {file = "PyYAML-6.0-cp311-cp311-win32.whl", hash = "sha256:bfaef573a63ba8923503d27530362590ff4f576c626d86a9fed95822a8255fd7"}, + {file = "PyYAML-6.0-cp311-cp311-win_amd64.whl", hash = "sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf"}, + {file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"}, + {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"}, + {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"}, + {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"}, + {file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"}, + {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"}, + {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"}, + {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"}, + {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"}, + {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"}, + {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"}, + {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"}, + {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"}, + {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"}, + {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"}, + {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"}, + {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"}, + {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"}, + {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"}, + {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"}, + {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"}, + {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"}, + {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"}, + {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"}, + {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"}, + {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"}, +] [[package]] name = "pyyaml-env-tag" @@ -1704,29 +4425,115 @@ description = "A custom YAML tag for referencing environment variables in YAML f category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "pyyaml_env_tag-0.1-py3-none-any.whl", hash = "sha256:af31106dec8a4d68c60207c1886031cbf839b68aa7abccdb19868200532c2069"}, + {file = "pyyaml_env_tag-0.1.tar.gz", hash = "sha256:70092675bda14fdec33b31ba77e7543de9ddc88f2e5b99160396572d11525bdb"}, +] [package.dependencies] pyyaml = "*" [[package]] name = "pyzmq" -version = "24.0.1" +version = "25.0.0" description = "Python bindings for 0MQ" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "pyzmq-25.0.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:2d05d904f03ddf1e0d83d97341354dfe52244a619b5a1440a5f47a5b3451e84e"}, + {file = "pyzmq-25.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a154ef810d44f9d28868be04641f837374a64e7449df98d9208e76c260c7ef1"}, + {file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:487305c2a011fdcf3db1f24e8814bb76d23bc4d2f46e145bc80316a59a9aa07d"}, + {file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e7b87638ee30ab13230e37ce5331b3e730b1e0dda30120b9eeec3540ed292c8"}, + {file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75243e422e85a62f0ab7953dc315452a56b2c6a7e7d1a3c3109ac3cc57ed6b47"}, + {file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:31e523d067ce44a04e876bed3ff9ea1ff8d1b6636d16e5fcace9d22f8c564369"}, + {file = "pyzmq-25.0.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:8539216173135e9e89f6b1cc392e74e6b935b91e8c76106cf50e7a02ab02efe5"}, + {file = "pyzmq-25.0.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:2754fa68da08a854f4816e05160137fa938a2347276471103d31e04bcee5365c"}, + {file = "pyzmq-25.0.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4a1bc30f0c18444d51e9b0d0dd39e3a4e7c53ee74190bebef238cd58de577ea9"}, + {file = "pyzmq-25.0.0-cp310-cp310-win32.whl", hash = "sha256:01d53958c787cfea34091fcb8ef36003dbb7913b8e9f8f62a0715234ebc98b70"}, + {file = "pyzmq-25.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:58fc3ad5e1cfd2e6d24741fbb1e216b388115d31b0ca6670f894187f280b6ba6"}, + {file = "pyzmq-25.0.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:e4bba04ea779a3d7ef25a821bb63fd0939142c88e7813e5bd9c6265a20c523a2"}, + {file = "pyzmq-25.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:af1fbfb7ad6ac0009ccee33c90a1d303431c7fb594335eb97760988727a37577"}, + {file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85456f0d8f3268eecd63dede3b99d5bd8d3b306310c37d4c15141111d22baeaf"}, + {file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0645b5a2d2a06fd8eb738018490c514907f7488bf9359c6ee9d92f62e844b76f"}, + {file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f72ea279b2941a5203e935a4588b9ba8a48aeb9a926d9dfa1986278bd362cb8"}, + {file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:4e295f7928a31ae0f657e848c5045ba6d693fe8921205f408ca3804b1b236968"}, + {file = "pyzmq-25.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ac97e7d647d5519bcef48dd8d3d331f72975afa5c4496c95f6e854686f45e2d9"}, + {file = "pyzmq-25.0.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:656281d496aaf9ca4fd4cea84e6d893e3361057c4707bd38618f7e811759103c"}, + {file = "pyzmq-25.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1f6116991568aac48b94d6d8aaed6157d407942ea385335a6ed313692777fb9d"}, + {file = "pyzmq-25.0.0-cp311-cp311-win32.whl", hash = "sha256:0282bba9aee6e0346aa27d6c69b5f7df72b5a964c91958fc9e0c62dcae5fdcdc"}, + {file = "pyzmq-25.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:526f884a27e8bba62fe1f4e07c62be2cfe492b6d432a8fdc4210397f8cf15331"}, + {file = "pyzmq-25.0.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:ccb3e1a863222afdbda42b7ca8ac8569959593d7abd44f5a709177d6fa27d266"}, + {file = "pyzmq-25.0.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4046d03100aca266e70d54a35694cb35d6654cfbef633e848b3c4a8d64b9d187"}, + {file = "pyzmq-25.0.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3100dddcada66ec5940ed6391ebf9d003cc3ede3d320748b2737553019f58230"}, + {file = "pyzmq-25.0.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7877264aa851c19404b1bb9dbe6eed21ea0c13698be1eda3784aab3036d1c861"}, + {file = "pyzmq-25.0.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:5049e75cc99db65754a3da5f079230fb8889230cf09462ec972d884d1704a3ed"}, + {file = "pyzmq-25.0.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:81f99fb1224d36eb91557afec8cdc2264e856f3464500b55749020ce4c848ef2"}, + {file = "pyzmq-25.0.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:a1cd4a95f176cdc0ee0a82d49d5830f13ae6015d89decbf834c273bc33eeb3d3"}, + {file = "pyzmq-25.0.0-cp36-cp36m-win32.whl", hash = "sha256:926236ca003aec70574754f39703528947211a406f5c6c8b3e50eca04a9e87fc"}, + {file = "pyzmq-25.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:94f0a7289d0f5c80807c37ebb404205e7deb737e8763eb176f4770839ee2a287"}, + {file = "pyzmq-25.0.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:f3f96d452e9580cb961ece2e5a788e64abaecb1232a80e61deffb28e105ff84a"}, + {file = "pyzmq-25.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:930e6ad4f2eaac31a3d0c2130619d25db754b267487ebc186c6ad18af2a74018"}, + {file = "pyzmq-25.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e1081d7030a1229c8ff90120346fb7599b54f552e98fcea5170544e7c6725aab"}, + {file = "pyzmq-25.0.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:531866c491aee5a1e967c286cfa470dffac1e2a203b1afda52d62b58782651e9"}, + {file = "pyzmq-25.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:fc7c1421c5b1c916acf3128bf3cc7ea7f5018b58c69a6866d70c14190e600ce9"}, + {file = "pyzmq-25.0.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:9a2d5e419bd39a1edb6cdd326d831f0120ddb9b1ff397e7d73541bf393294973"}, + {file = "pyzmq-25.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:183e18742be3621acf8908903f689ec520aee3f08449bfd29f583010ca33022b"}, + {file = "pyzmq-25.0.0-cp37-cp37m-win32.whl", hash = "sha256:02f5cb60a7da1edd5591a15efa654ffe2303297a41e1b40c3c8942f8f11fc17c"}, + {file = "pyzmq-25.0.0-cp37-cp37m-win_amd64.whl", hash = "sha256:cac602e02341eaaf4edfd3e29bd3fdef672e61d4e6dfe5c1d065172aee00acee"}, + {file = "pyzmq-25.0.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:e14df47c1265356715d3d66e90282a645ebc077b70b3806cf47efcb7d1d630cb"}, + {file = "pyzmq-25.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:293a7c2128690f496057f1f1eb6074f8746058d13588389981089ec45d8fdc77"}, + {file = "pyzmq-25.0.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:731b208bc9412deeb553c9519dca47136b5a01ca66667cafd8733211941b17e4"}, + {file = "pyzmq-25.0.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b055a1cddf8035966ad13aa51edae5dc8f1bba0b5d5e06f7a843d8b83dc9b66b"}, + {file = "pyzmq-25.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17e1cb97d573ea84d7cd97188b42ca6f611ab3ee600f6a75041294ede58e3d20"}, + {file = "pyzmq-25.0.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:60ecbfe7669d3808ffa8a7dd1487d6eb8a4015b07235e3b723d4b2a2d4de7203"}, + {file = "pyzmq-25.0.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4c25c95416133942280faaf068d0fddfd642b927fb28aaf4ab201a738e597c1e"}, + {file = "pyzmq-25.0.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:be05504af0619d1cffa500af1e0ede69fb683f301003851f5993b5247cc2c576"}, + {file = "pyzmq-25.0.0-cp38-cp38-win32.whl", hash = "sha256:6bf3842af37af43fa953e96074ebbb5315f6a297198f805d019d788a1021dbc8"}, + {file = "pyzmq-25.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:b90bb8dfbbd138558f1f284fecfe328f7653616ff9a972433a00711d9475d1a9"}, + {file = "pyzmq-25.0.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:62b9e80890c0d2408eb42d5d7e1fc62a5ce71be3288684788f74cf3e59ffd6e2"}, + {file = "pyzmq-25.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:484c2c4ee02c1edc07039f42130bd16e804b1fe81c4f428e0042e03967f40c20"}, + {file = "pyzmq-25.0.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9ca6db34b26c4d3e9b0728841ec9aa39484eee272caa97972ec8c8e231b20c7e"}, + {file = "pyzmq-25.0.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:610d2d112acd4e5501fac31010064a6c6efd716ceb968e443cae0059eb7b86de"}, + {file = "pyzmq-25.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3594c0ff604e685d7e907860b61d0e10e46c74a9ffca168f6e9e50ea934ee440"}, + {file = "pyzmq-25.0.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:c21a5f4e54a807df5afdef52b6d24ec1580153a6bcf0607f70a6e1d9fa74c5c3"}, + {file = "pyzmq-25.0.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:4725412e27612f0d7d7c2f794d89807ad0227c2fc01dd6146b39ada49c748ef9"}, + {file = "pyzmq-25.0.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4d3d604fe0a67afd1aff906e54da557a5203368a99dcc50a70eef374f1d2abef"}, + {file = "pyzmq-25.0.0-cp39-cp39-win32.whl", hash = "sha256:3670e8c5644768f214a3b598fe46378a4a6f096d5fb82a67dfd3440028460565"}, + {file = "pyzmq-25.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:e99629a976809fe102ef73e856cf4b2660acd82a412a51e80ba2215e523dfd0a"}, + {file = "pyzmq-25.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:66509c48f7446b640eeae24b60c9c1461799a27b1b0754e438582e36b5af3315"}, + {file = "pyzmq-25.0.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:a9c464cc508177c09a5a6122b67f978f20e2954a21362bf095a0da4647e3e908"}, + {file = "pyzmq-25.0.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:28bcb2e66224a7ac2843eb632e4109d6b161479e7a2baf24e37210461485b4f1"}, + {file = "pyzmq-25.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0e7ef9ac807db50b4eb6f534c5dcc22f998f5dae920cc28873d2c1d080a4fc9"}, + {file = "pyzmq-25.0.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:5050f5c50b58a6e38ccaf9263a356f74ef1040f5ca4030225d1cb1a858c5b7b6"}, + {file = "pyzmq-25.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2a73af6504e0d2805e926abf136ebf536735a13c22f709be7113c2ec65b4bec3"}, + {file = "pyzmq-25.0.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0e8d00228db627ddd1b418c7afd81820b38575f237128c9650365f2dd6ac3443"}, + {file = "pyzmq-25.0.0-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5605621f2181f20b71f13f698944deb26a0a71af4aaf435b34dd90146092d530"}, + {file = "pyzmq-25.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6136bfb0e5a9cf8c60c6ac763eb21f82940a77e6758ea53516c8c7074f4ff948"}, + {file = "pyzmq-25.0.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0a90b2480a26aef7c13cff18703ba8d68e181facb40f78873df79e6d42c1facc"}, + {file = "pyzmq-25.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:00c94fd4c9dd3c95aace0c629a7fa713627a5c80c1819326b642adf6c4b8e2a2"}, + {file = "pyzmq-25.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20638121b0bdc80777ce0ec8c1f14f1ffec0697a1f88f0b564fa4a23078791c4"}, + {file = "pyzmq-25.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6f75b4b8574f3a8a0d6b4b52606fc75b82cb4391471be48ab0b8677c82f9ed4"}, + {file = "pyzmq-25.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4cbb885f347eba7ab7681c450dee5b14aed9f153eec224ec0c3f299273d9241f"}, + {file = "pyzmq-25.0.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c48f257da280b3be6c94e05bd575eddb1373419dbb1a72c3ce64e88f29d1cd6d"}, + {file = "pyzmq-25.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:866eabf7c1315ef2e93e34230db7cbf672e0d7c626b37c11f7e870c8612c3dcc"}, + {file = "pyzmq-25.0.0.tar.gz", hash = "sha256:f330a1a2c7f89fd4b0aa4dcb7bf50243bf1c8da9a2f1efc31daf57a2046b31f2"}, +] [package.dependencies] cffi = {version = "*", markers = "implementation_name == \"pypy\""} -py = {version = "*", markers = "implementation_name == \"pypy\""} [[package]] name = "qtconsole" -version = "5.3.2" +version = "5.4.0" description = "Jupyter Qt console" category = "main" optional = false python-versions = ">= 3.7" +files = [ + {file = "qtconsole-5.4.0-py3-none-any.whl", hash = "sha256:be13560c19bdb3b54ed9741a915aa701a68d424519e8341ac479a91209e694b2"}, + {file = "qtconsole-5.4.0.tar.gz", hash = "sha256:57748ea2fd26320a0b77adba20131cfbb13818c7c96d83fafcb110ff55f58b35"}, +] [package.dependencies] ipykernel = ">=4.1" @@ -1744,11 +4551,15 @@ test = ["flaky", "pytest", "pytest-qt"] [[package]] name = "qtpy" -version = "2.2.1" +version = "2.3.0" description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "QtPy-2.3.0-py3-none-any.whl", hash = "sha256:8d6d544fc20facd27360ea189592e6135c614785f0dec0b4f083289de6beb408"}, + {file = "QtPy-2.3.0.tar.gz", hash = "sha256:0603c9c83ccc035a4717a12908bf6bc6cb22509827ea2ec0e94c2da7c9ed57c5"}, +] [package.dependencies] packaging = "*" @@ -1758,30 +4569,124 @@ test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"] [[package]] name = "regex" -version = "2022.9.13" +version = "2022.10.31" description = "Alternative regular expression module, to replace re." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "regex-2022.10.31-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a8ff454ef0bb061e37df03557afda9d785c905dab15584860f982e88be73015f"}, + {file = "regex-2022.10.31-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1eba476b1b242620c266edf6325b443a2e22b633217a9835a52d8da2b5c051f9"}, + {file = "regex-2022.10.31-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0e5af9a9effb88535a472e19169e09ce750c3d442fb222254a276d77808620b"}, + {file = "regex-2022.10.31-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d03fe67b2325cb3f09be029fd5da8df9e6974f0cde2c2ac6a79d2634e791dd57"}, + {file = "regex-2022.10.31-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9d0b68ac1743964755ae2d89772c7e6fb0118acd4d0b7464eaf3921c6b49dd4"}, + {file = "regex-2022.10.31-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a45b6514861916c429e6059a55cf7db74670eaed2052a648e3e4d04f070e001"}, + {file = "regex-2022.10.31-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8b0886885f7323beea6f552c28bff62cbe0983b9fbb94126531693ea6c5ebb90"}, + {file = "regex-2022.10.31-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5aefb84a301327ad115e9d346c8e2760009131d9d4b4c6b213648d02e2abe144"}, + {file = "regex-2022.10.31-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:702d8fc6f25bbf412ee706bd73019da5e44a8400861dfff7ff31eb5b4a1276dc"}, + {file = "regex-2022.10.31-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a3c1ebd4ed8e76e886507c9eddb1a891673686c813adf889b864a17fafcf6d66"}, + {file = "regex-2022.10.31-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:50921c140561d3db2ab9f5b11c5184846cde686bb5a9dc64cae442926e86f3af"}, + {file = "regex-2022.10.31-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:7db345956ecce0c99b97b042b4ca7326feeec6b75facd8390af73b18e2650ffc"}, + {file = "regex-2022.10.31-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:763b64853b0a8f4f9cfb41a76a4a85a9bcda7fdda5cb057016e7706fde928e66"}, + {file = "regex-2022.10.31-cp310-cp310-win32.whl", hash = "sha256:44136355e2f5e06bf6b23d337a75386371ba742ffa771440b85bed367c1318d1"}, + {file = "regex-2022.10.31-cp310-cp310-win_amd64.whl", hash = "sha256:bfff48c7bd23c6e2aec6454aaf6edc44444b229e94743b34bdcdda2e35126cf5"}, + {file = "regex-2022.10.31-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4b4b1fe58cd102d75ef0552cf17242705ce0759f9695334a56644ad2d83903fe"}, + {file = "regex-2022.10.31-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:542e3e306d1669b25936b64917285cdffcd4f5c6f0247636fec037187bd93542"}, + {file = "regex-2022.10.31-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c27cc1e4b197092e50ddbf0118c788d9977f3f8f35bfbbd3e76c1846a3443df7"}, + {file = "regex-2022.10.31-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8e38472739028e5f2c3a4aded0ab7eadc447f0d84f310c7a8bb697ec417229e"}, + {file = "regex-2022.10.31-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:76c598ca73ec73a2f568e2a72ba46c3b6c8690ad9a07092b18e48ceb936e9f0c"}, + {file = "regex-2022.10.31-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c28d3309ebd6d6b2cf82969b5179bed5fefe6142c70f354ece94324fa11bf6a1"}, + {file = "regex-2022.10.31-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9af69f6746120998cd9c355e9c3c6aec7dff70d47247188feb4f829502be8ab4"}, + {file = "regex-2022.10.31-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a5f9505efd574d1e5b4a76ac9dd92a12acb2b309551e9aa874c13c11caefbe4f"}, + {file = "regex-2022.10.31-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:5ff525698de226c0ca743bfa71fc6b378cda2ddcf0d22d7c37b1cc925c9650a5"}, + {file = "regex-2022.10.31-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:4fe7fda2fe7c8890d454f2cbc91d6c01baf206fbc96d89a80241a02985118c0c"}, + {file = "regex-2022.10.31-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:2cdc55ca07b4e70dda898d2ab7150ecf17c990076d3acd7a5f3b25cb23a69f1c"}, + {file = "regex-2022.10.31-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:44a6c2f6374e0033873e9ed577a54a3602b4f609867794c1a3ebba65e4c93ee7"}, + {file = "regex-2022.10.31-cp311-cp311-win32.whl", hash = "sha256:d8716f82502997b3d0895d1c64c3b834181b1eaca28f3f6336a71777e437c2af"}, + {file = "regex-2022.10.31-cp311-cp311-win_amd64.whl", hash = "sha256:61edbca89aa3f5ef7ecac8c23d975fe7261c12665f1d90a6b1af527bba86ce61"}, + {file = "regex-2022.10.31-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:0a069c8483466806ab94ea9068c34b200b8bfc66b6762f45a831c4baaa9e8cdd"}, + {file = "regex-2022.10.31-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d26166acf62f731f50bdd885b04b38828436d74e8e362bfcb8df221d868b5d9b"}, + {file = "regex-2022.10.31-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac741bf78b9bb432e2d314439275235f41656e189856b11fb4e774d9f7246d81"}, + {file = "regex-2022.10.31-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:75f591b2055523fc02a4bbe598aa867df9e953255f0b7f7715d2a36a9c30065c"}, + {file = "regex-2022.10.31-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b30bddd61d2a3261f025ad0f9ee2586988c6a00c780a2fb0a92cea2aa702c54"}, + {file = "regex-2022.10.31-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef4163770525257876f10e8ece1cf25b71468316f61451ded1a6f44273eedeb5"}, + {file = "regex-2022.10.31-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7b280948d00bd3973c1998f92e22aa3ecb76682e3a4255f33e1020bd32adf443"}, + {file = "regex-2022.10.31-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:d0213671691e341f6849bf33cd9fad21f7b1cb88b89e024f33370733fec58742"}, + {file = "regex-2022.10.31-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:22e7ebc231d28393dfdc19b185d97e14a0f178bedd78e85aad660e93b646604e"}, + {file = "regex-2022.10.31-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:8ad241da7fac963d7573cc67a064c57c58766b62a9a20c452ca1f21050868dfa"}, + {file = "regex-2022.10.31-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:586b36ebda81e6c1a9c5a5d0bfdc236399ba6595e1397842fd4a45648c30f35e"}, + {file = "regex-2022.10.31-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4"}, + {file = "regex-2022.10.31-cp36-cp36m-win32.whl", hash = "sha256:144486e029793a733e43b2e37df16a16df4ceb62102636ff3db6033994711066"}, + {file = "regex-2022.10.31-cp36-cp36m-win_amd64.whl", hash = "sha256:c14b63c9d7bab795d17392c7c1f9aaabbffd4cf4387725a0ac69109fb3b550c6"}, + {file = "regex-2022.10.31-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4cac3405d8dda8bc6ed499557625585544dd5cbf32072dcc72b5a176cb1271c8"}, + {file = "regex-2022.10.31-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23cbb932cc53a86ebde0fb72e7e645f9a5eec1a5af7aa9ce333e46286caef783"}, + {file = "regex-2022.10.31-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:74bcab50a13960f2a610cdcd066e25f1fd59e23b69637c92ad470784a51b1347"}, + {file = "regex-2022.10.31-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:78d680ef3e4d405f36f0d6d1ea54e740366f061645930072d39bca16a10d8c93"}, + {file = "regex-2022.10.31-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce6910b56b700bea7be82c54ddf2e0ed792a577dfaa4a76b9af07d550af435c6"}, + {file = "regex-2022.10.31-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:659175b2144d199560d99a8d13b2228b85e6019b6e09e556209dfb8c37b78a11"}, + {file = "regex-2022.10.31-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1ddf14031a3882f684b8642cb74eea3af93a2be68893901b2b387c5fd92a03ec"}, + {file = "regex-2022.10.31-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b683e5fd7f74fb66e89a1ed16076dbab3f8e9f34c18b1979ded614fe10cdc4d9"}, + {file = "regex-2022.10.31-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2bde29cc44fa81c0a0c8686992c3080b37c488df167a371500b2a43ce9f026d1"}, + {file = "regex-2022.10.31-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:4919899577ba37f505aaebdf6e7dc812d55e8f097331312db7f1aab18767cce8"}, + {file = "regex-2022.10.31-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:9c94f7cc91ab16b36ba5ce476f1904c91d6c92441f01cd61a8e2729442d6fcf5"}, + {file = "regex-2022.10.31-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ae1e96785696b543394a4e3f15f3f225d44f3c55dafe3f206493031419fedf95"}, + {file = "regex-2022.10.31-cp37-cp37m-win32.whl", hash = "sha256:c670f4773f2f6f1957ff8a3962c7dd12e4be54d05839b216cb7fd70b5a1df394"}, + {file = "regex-2022.10.31-cp37-cp37m-win_amd64.whl", hash = "sha256:8e0caeff18b96ea90fc0eb6e3bdb2b10ab5b01a95128dfeccb64a7238decf5f0"}, + {file = "regex-2022.10.31-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:131d4be09bea7ce2577f9623e415cab287a3c8e0624f778c1d955ec7c281bd4d"}, + {file = "regex-2022.10.31-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e613a98ead2005c4ce037c7b061f2409a1a4e45099edb0ef3200ee26ed2a69a8"}, + {file = "regex-2022.10.31-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad"}, + {file = "regex-2022.10.31-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa62a07ac93b7cb6b7d0389d8ef57ffc321d78f60c037b19dfa78d6b17c928ee"}, + {file = "regex-2022.10.31-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5352bea8a8f84b89d45ccc503f390a6be77917932b1c98c4cdc3565137acc714"}, + {file = "regex-2022.10.31-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20f61c9944f0be2dc2b75689ba409938c14876c19d02f7585af4460b6a21403e"}, + {file = "regex-2022.10.31-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:29c04741b9ae13d1e94cf93fca257730b97ce6ea64cfe1eba11cf9ac4e85afb6"}, + {file = "regex-2022.10.31-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:543883e3496c8b6d58bd036c99486c3c8387c2fc01f7a342b760c1ea3158a318"}, + {file = "regex-2022.10.31-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b7a8b43ee64ca8f4befa2bea4083f7c52c92864d8518244bfa6e88c751fa8fff"}, + {file = "regex-2022.10.31-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6a9a19bea8495bb419dc5d38c4519567781cd8d571c72efc6aa959473d10221a"}, + {file = "regex-2022.10.31-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6ffd55b5aedc6f25fd8d9f905c9376ca44fcf768673ffb9d160dd6f409bfda73"}, + {file = "regex-2022.10.31-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4bdd56ee719a8f751cf5a593476a441c4e56c9b64dc1f0f30902858c4ef8771d"}, + {file = "regex-2022.10.31-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8ca88da1bd78990b536c4a7765f719803eb4f8f9971cc22d6ca965c10a7f2c4c"}, + {file = "regex-2022.10.31-cp38-cp38-win32.whl", hash = "sha256:5a260758454580f11dd8743fa98319bb046037dfab4f7828008909d0aa5292bc"}, + {file = "regex-2022.10.31-cp38-cp38-win_amd64.whl", hash = "sha256:5e6a5567078b3eaed93558842346c9d678e116ab0135e22eb72db8325e90b453"}, + {file = "regex-2022.10.31-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5217c25229b6a85049416a5c1e6451e9060a1edcf988641e309dbe3ab26d3e49"}, + {file = "regex-2022.10.31-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4bf41b8b0a80708f7e0384519795e80dcb44d7199a35d52c15cc674d10b3081b"}, + {file = "regex-2022.10.31-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cf0da36a212978be2c2e2e2d04bdff46f850108fccc1851332bcae51c8907cc"}, + {file = "regex-2022.10.31-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d403d781b0e06d2922435ce3b8d2376579f0c217ae491e273bab8d092727d244"}, + {file = "regex-2022.10.31-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a37d51fa9a00d265cf73f3de3930fa9c41548177ba4f0faf76e61d512c774690"}, + {file = "regex-2022.10.31-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4f781ffedd17b0b834c8731b75cce2639d5a8afe961c1e58ee7f1f20b3af185"}, + {file = "regex-2022.10.31-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d243b36fbf3d73c25e48014961e83c19c9cc92530516ce3c43050ea6276a2ab7"}, + {file = "regex-2022.10.31-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:370f6e97d02bf2dd20d7468ce4f38e173a124e769762d00beadec3bc2f4b3bc4"}, + {file = "regex-2022.10.31-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:597f899f4ed42a38df7b0e46714880fb4e19a25c2f66e5c908805466721760f5"}, + {file = "regex-2022.10.31-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7dbdce0c534bbf52274b94768b3498abdf675a691fec5f751b6057b3030f34c1"}, + {file = "regex-2022.10.31-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:22960019a842777a9fa5134c2364efaed5fbf9610ddc5c904bd3a400973b0eb8"}, + {file = "regex-2022.10.31-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:7f5a3ffc731494f1a57bd91c47dc483a1e10048131ffb52d901bfe2beb6102e8"}, + {file = "regex-2022.10.31-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7ef6b5942e6bfc5706301a18a62300c60db9af7f6368042227ccb7eeb22d0892"}, + {file = "regex-2022.10.31-cp39-cp39-win32.whl", hash = "sha256:395161bbdbd04a8333b9ff9763a05e9ceb4fe210e3c7690f5e68cedd3d65d8e1"}, + {file = "regex-2022.10.31-cp39-cp39-win_amd64.whl", hash = "sha256:957403a978e10fb3ca42572a23e6f7badff39aa1ce2f4ade68ee452dc6807692"}, + {file = "regex-2022.10.31.tar.gz", hash = "sha256:a3a98921da9a1bf8457aeee6a551948a83601689e5ecdd736894ea9bbec77e83"}, +] [[package]] name = "requests" -version = "2.28.1" +version = "2.28.2" description = "Python HTTP for Humans." category = "main" optional = false python-versions = ">=3.7, <4" +files = [ + {file = "requests-2.28.2-py3-none-any.whl", hash = "sha256:64299f4909223da747622c030b781c0d7811e359c37124b4bd368fb8c6518baa"}, + {file = "requests-2.28.2.tar.gz", hash = "sha256:98b1b2782e3c6c4904938b84c0eb932721069dfdb9134313beff7c83c2df24bf"}, +] [package.dependencies] certifi = ">=2017.4.17" -charset-normalizer = ">=2,<3" +charset-normalizer = ">=2,<4" idna = ">=2.5,<4" PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7", optional = true, markers = "extra == \"socks\""} urllib3 = ">=1.21.1,<1.27" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "requests-oauthlib" @@ -1790,6 +4695,10 @@ description = "OAuthlib authentication support for Requests." category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"}, + {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"}, +] [package.dependencies] oauthlib = ">=3.0.0" @@ -1805,6 +4714,10 @@ description = "RetinaFace: Deep Face Detection Framework in TensorFlow for Pytho category = "main" optional = false python-versions = ">=3.5.5" +files = [ + {file = "retina-face-0.0.12.tar.gz", hash = "sha256:9cd335460390960671343e021b697d88b1623e9ffb0c398573d486a64e3054d2"}, + {file = "retina_face-0.0.12-py3-none-any.whl", hash = "sha256:af05a23389ec3d817bddd333ea5c8fe05ec47f43ba807e16597d0daa5b7b93c6"}, +] [package.dependencies] gdown = ">=3.10.1" @@ -1813,21 +4726,70 @@ opencv-python = ">=3.4.4" Pillow = ">=5.2.0" tensorflow = ">=1.9.0" +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +description = "A pure python RFC3339 validator" +category = "main" +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" +version = "1.5.0" +description = "Validating URI References per RFC 3986" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "rfc3986-1.5.0-py2.py3-none-any.whl", hash = "sha256:a86d6e1f5b1dc238b218b012df0aa79409667bb209e58da56d0b94704e712a97"}, + {file = "rfc3986-1.5.0.tar.gz", hash = "sha256:270aaf10d87d0d4e095063c65bf3ddbc6ee3d0b226328ce21e036f946e421835"}, +] + +[package.dependencies] +idna = {version = "*", optional = true, markers = "extra == \"idna2008\""} + +[package.extras] +idna2008 = ["idna"] + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +description = "Pure python rfc3986 validator" +category = "main" +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 = "rich" -version = "12.6.0" +version = "13.3.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" category = "dev" optional = false -python-versions = ">=3.6.3,<4.0.0" +python-versions = ">=3.7.0" +files = [ + {file = "rich-13.3.1-py3-none-any.whl", hash = "sha256:8aa57747f3fc3e977684f0176a88e789be314a99f99b43b75d1e9cb5dc6db9e9"}, + {file = "rich-13.3.1.tar.gz", hash = "sha256:125d96d20c92b946b983d0d392b84ff945461e5a06d3867e9f9e575f8697b67f"}, +] [package.dependencies] -commonmark = ">=0.9.0,<0.10.0" -pygments = ">=2.6.0,<3.0.0" +markdown-it-py = ">=2.1.0,<3.0.0" +pygments = ">=2.14.0,<3.0.0" typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""} [package.extras] -jupyter = ["ipywidgets (>=7.5.1,<8.0.0)"] +jupyter = ["ipywidgets (>=7.5.1,<9)"] [[package]] name = "rsa" @@ -1836,6 +4798,10 @@ description = "Pure-Python RSA implementation" category = "main" optional = false python-versions = ">=3.6,<4" +files = [ + {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"}, + {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"}, +] [package.dependencies] pyasn1 = ">=0.1.3" @@ -1847,6 +4813,10 @@ description = "Video scene cut/shot detection program and Python library." category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "scenedetect-0.6.1-py3-none-any.whl", hash = "sha256:cd4e93f88097f13e60022f3857479eebb9b2088c1f334872b710688c9a44a413"}, + {file = "scenedetect-0.6.1.tar.gz", hash = "sha256:9b5f0f21e2dc4aad6e1df6db431b66fc764d2e5e8a3bfb4085d4ec5a692cd1ac"}, +] [package.dependencies] appdirs = "*" @@ -1861,41 +4831,139 @@ opencv = ["opencv-python"] opencv-headless = ["opencv-python-headless"] pyav = ["av"] +[[package]] +name = "scikit-image" +version = "0.19.3" +description = "Image processing in Python" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "scikit-image-0.19.3.tar.gz", hash = "sha256:24b5367de1762da6ee126dd8f30cc4e7efda474e0d7d70685433f0e3aa2ec450"}, + {file = "scikit_image-0.19.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:3a01372ae4bca223873304b0bff79b9d92446ac6d6177f73d89b45561e2d09d8"}, + {file = "scikit_image-0.19.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:fdf48d9b1f13af69e4e2c78e05067e322e9c8c97463c315cd0ecb47a94e259fc"}, + {file = "scikit_image-0.19.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b6a8f98f2ac9bb73706461fd1dec875f6a5141759ed526850a5a49e90003d19"}, + {file = "scikit_image-0.19.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cfbb073f23deb48e0e60c47f8741d8089121d89cc78629ea8c5b51096efc5be7"}, + {file = "scikit_image-0.19.3-cp310-cp310-win_amd64.whl", hash = "sha256:cc24177de3fdceca5d04807ad9c87d665f0bf01032ed94a9055cd1ed2b3f33e9"}, + {file = "scikit_image-0.19.3-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:fd9dd3994bb6f9f7a35f228323f3c4dc44b3cf2ff15fd72d895216e9333550c6"}, + {file = "scikit_image-0.19.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ad5d8000207a264d1a55681a9276e6a739d3f05cf4429004ad00d61d1892235f"}, + {file = "scikit_image-0.19.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:84baa3179f3ae983c3a5d81c1e404bc92dcf7daeb41bfe9369badcda3fb22b92"}, + {file = "scikit_image-0.19.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f9f8a1387afc6c70f2bed007c3854a2d7489f9f7713c242f16f32ee05934bc2"}, + {file = "scikit_image-0.19.3-cp37-cp37m-win32.whl", hash = "sha256:9fb0923a3bfa99457c5e17888f27b3b8a83a3600b4fef317992e7b7234764732"}, + {file = "scikit_image-0.19.3-cp37-cp37m-win_amd64.whl", hash = "sha256:ce3d2207f253b8eb2c824e30d145a9f07a34a14212d57f3beca9f7e03c383cbe"}, + {file = "scikit_image-0.19.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:2a02d1bd0e2b53e36b952bd5fd6118d9ccc3ee51de35705d63d8eb1f2e86adef"}, + {file = "scikit_image-0.19.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:03779a7e1736fdf89d83c0ba67d44110496edd736a3bfce61a2b5177a1c8a099"}, + {file = "scikit_image-0.19.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:19a21a101a20c587a3b611a2cf6f86c35aae9f8d9563279b987e83ee1c9a9790"}, + {file = "scikit_image-0.19.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2f50b923f8099c1045fcde7418d86b206c87e333e43da980f41d8577b9605245"}, + {file = "scikit_image-0.19.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e207c6ce5ce121d7d9b9d2b61b9adca57d1abed112c902d8ffbfdc20fb42c12b"}, + {file = "scikit_image-0.19.3-cp38-cp38-win32.whl", hash = "sha256:a7c3985c68bfe05f7571167ee021d14f5b8d1a4a250c91f0b13be7fb07e6af34"}, + {file = "scikit_image-0.19.3-cp38-cp38-win_amd64.whl", hash = "sha256:651de1c2ce1fbee834753b46b8e7d81cb12a5594898babba63ac82b30ddad49d"}, + {file = "scikit_image-0.19.3-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:8d8917fcf85b987b1f287f823f3a1a7dac38b70aaca759bc0200f3bc292d5ced"}, + {file = "scikit_image-0.19.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:0b0a199157ce8487c77de4fde0edc0b42d6d42818881c11f459262351d678b2d"}, + {file = "scikit_image-0.19.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33dfd463ee6cc509defa279b963829f2230c9e0639ccd3931045be055878eea6"}, + {file = "scikit_image-0.19.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a8714348ddd671f819457a797c97d4c672166f093def66d66c3254cbd1d43f83"}, + {file = "scikit_image-0.19.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff3b1025356508d41f4fe48528e509d95f9e4015e90cf158cd58c56dc63e0ac5"}, + {file = "scikit_image-0.19.3-cp39-cp39-win32.whl", hash = "sha256:9439e5294de3f18d6e82ec8eee2c46590231cf9c690da80545e83a0733b7a69e"}, + {file = "scikit_image-0.19.3-cp39-cp39-win_amd64.whl", hash = "sha256:32fb88cc36203b99c9672fb972c9ef98635deaa5fc889fe969f3e11c44f22919"}, +] + +[package.dependencies] +imageio = ">=2.4.1" +networkx = ">=2.2" +numpy = ">=1.17.0" +packaging = ">=20.0" +pillow = ">=6.1.0,<7.1.0 || >7.1.0,<7.1.1 || >7.1.1,<8.3.0 || >8.3.0" +PyWavelets = ">=1.1.1" +scipy = ">=1.4.1" +tifffile = ">=2019.7.26" + +[package.extras] +data = ["pooch (>=1.3.0)"] +docs = ["cloudpickle (>=0.2.1)", "dask[array] (>=0.15.0,!=2.17.0)", "ipywidgets", "kaleido", "matplotlib (>=3.3)", "myst-parser", "numpydoc (>=1.0)", "pandas (>=0.23.0)", "plotly (>=4.14.0)", "pooch (>=1.3.0)", "pytest-runner", "scikit-learn", "seaborn (>=0.7.1)", "sphinx (>=1.8)", "sphinx-copybutton", "sphinx-gallery (>=0.10.1)", "tifffile (>=2020.5.30)"] +optional = ["SimpleITK", "astropy (>=3.1.2)", "cloudpickle (>=0.2.1)", "dask[array] (>=1.0.0,!=2.17.0)", "matplotlib (>=3.0.3)", "pooch (>=1.3.0)", "pyamg", "qtpy"] +test = ["asv", "codecov", "flake8", "matplotlib (>=3.0.3)", "pooch (>=1.3.0)", "pytest (>=5.2.0)", "pytest-cov (>=2.7.0)", "pytest-faulthandler", "pytest-localserver"] + [[package]] name = "scikit-learn" -version = "1.1.2" +version = "1.2.1" description = "A set of python modules for machine learning and data mining" category = "main" optional = false python-versions = ">=3.8" +files = [ + {file = "scikit-learn-1.2.1.tar.gz", hash = "sha256:fbf8a5c893c9b4b99bcc7ed8fb3e8500957a113f4101860386d06635520f7cfb"}, + {file = "scikit_learn-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bed9f75763bd392c094bf474c7ab75a01d68b15146ea7a20c0f9ff6fb3063dad"}, + {file = "scikit_learn-1.2.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c9285275a435d1f8f47bbe3500346ab9ead2499e0e090518404d318ea90d1c1c"}, + {file = "scikit_learn-1.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc838b5a4057c55ba81b82316ea8bf443af445f96eb21500b0e40618017e0923"}, + {file = "scikit_learn-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8bcd303dd982494842a3f482f844d539484c6043b4eed896b43ea8e5f609a21"}, + {file = "scikit_learn-1.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:a9abf17d177df54e529154f26acfd42930e19117d045e8a9a8e893ca82dd94ec"}, + {file = "scikit_learn-1.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:70fa30d146b7e9d0c256e73e271b3e17f23123b7c4adcbde1a385031adf59090"}, + {file = "scikit_learn-1.2.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5a8111f3c7a314017ebf90d6feab861c11d1ca14f3dbafb39abcc31aa4c54ba6"}, + {file = "scikit_learn-1.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cba0c7c6bf1493f8ce670bab69f9317874826ee838988de377ae355abd4d74cf"}, + {file = "scikit_learn-1.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:479aedd0abedbda6b8b4529145fe4cd8622f69f726a72cef8f75548a93eeb1e1"}, + {file = "scikit_learn-1.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:5523e21ab2b4d52b2bd41bedd335dbe8f3c1b5f6dd7c9c001b2e17ec9818af8d"}, + {file = "scikit_learn-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:dcfab6a19b236194af88771d8e6e778a60c3339248ab0018696ebf2b7c8bed4b"}, + {file = "scikit_learn-1.2.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:559f66e12f93b34c8c85c0a5728c3b8af98f04eb12f2c9ee18ea3c82c3d2fad1"}, + {file = "scikit_learn-1.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbb7831b2308c67bb6dd83c5ea3cdaf8e8cafd2de4000b93d78bb689126bd2cf"}, + {file = "scikit_learn-1.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b2c5d9930ced2b7821ad936b9940706ccb5471d89b8a516bb641cec87257d1c"}, + {file = "scikit_learn-1.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:54731e2c2fbff40da6d76cbb9022ace5f44a4020a10bd5cd92107e86882bad15"}, + {file = "scikit_learn-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d00e46a2a7fce6e118ed0f4c6263785bf6c297a94ffd0cd7b32455043c508cc8"}, + {file = "scikit_learn-1.2.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da0e2d50a8435ea8dc5cd21f1fc1a45d329bae03dcca92087ebed859d22d184e"}, + {file = "scikit_learn-1.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61bb9c654b5d2e6cdd4b1c7e6048fc66270c1682bda1b0f7d2726fdae09010f4"}, + {file = "scikit_learn-1.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0ee4d4d32c94e082344308528f7b3c9294b60ab19c84eb37a2d9c88bdffd9d1"}, + {file = "scikit_learn-1.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:c722f3446ad8c4f1a93b2399fe1a188635b94709a3f25e6f4d61efbe75fe8eaa"}, +] [package.dependencies] -joblib = ">=1.0.0" +joblib = ">=1.1.1" numpy = ">=1.17.3" scipy = ">=1.3.2" threadpoolctl = ">=2.0.0" [package.extras] -tests = ["numpydoc (>=1.2.0)", "pyamg (>=4.0.0)", "mypy (>=0.961)", "black (>=22.3.0)", "flake8 (>=3.8.2)", "pytest-cov (>=2.9.0)", "pytest (>=5.0.1)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "matplotlib (>=3.1.2)"] -examples = ["seaborn (>=0.9.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "matplotlib (>=3.1.2)"] -docs = ["sphinxext-opengraph (>=0.4.2)", "sphinx-prompt (>=1.3.0)", "Pillow (>=7.1.2)", "numpydoc (>=1.2.0)", "sphinx-gallery (>=0.7.0)", "sphinx (>=4.0.1)", "memory-profiler (>=0.57.0)", "seaborn (>=0.9.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "matplotlib (>=3.1.2)"] -benchmark = ["memory-profiler (>=0.57.0)", "pandas (>=1.0.5)", "matplotlib (>=3.1.2)"] +benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"] +docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"] +examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"] +tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"] [[package]] name = "scipy" -version = "1.9.3" +version = "1.10.1" description = "Fundamental algorithms for scientific computing in Python" category = "main" optional = false -python-versions = ">=3.8" +python-versions = "<3.12,>=3.8" +files = [ + {file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"}, + {file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"}, + {file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"}, + {file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"}, + {file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"}, + {file = "scipy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd"}, + {file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"}, + {file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35"}, + {file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"}, + {file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"}, + {file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"}, + {file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"}, + {file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"}, + {file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"}, + {file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"}, + {file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"}, + {file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"}, + {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"}, + {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"}, + {file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"}, + {file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"}, +] [package.dependencies] -numpy = ">=1.18.5,<1.26.0" +numpy = ">=1.19.5,<1.27.0" [package.extras] -test = ["pytest", "pytest-cov", "pytest-xdist", "asv", "mpmath", "gmpy2", "threadpoolctl", "scikit-umfpack"] -doc = ["sphinx (!=4.1.0)", "pydata-sphinx-theme (==0.9.0)", "sphinx-panels (>=0.5.2)", "matplotlib (>2)", "numpydoc", "sphinx-tabs"] -dev = ["mypy", "typing-extensions", "pycodestyle", "flake8"] +dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"] +doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] +test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "semver" @@ -1904,6 +4972,10 @@ description = "Python helper for Semantic Versioning (http://semver.org/)" category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "semver-2.13.0-py2.py3-none-any.whl", hash = "sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4"}, + {file = "semver-2.13.0.tar.gz", hash = "sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f"}, +] [[package]] name = "send2trash" @@ -1912,28 +4984,44 @@ description = "Send file to trash natively under Mac OS X, Windows and Linux." category = "main" optional = false python-versions = "*" +files = [ + {file = "Send2Trash-1.8.0-py3-none-any.whl", hash = "sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08"}, + {file = "Send2Trash-1.8.0.tar.gz", hash = "sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d"}, +] [package.extras] -nativelib = ["pyobjc-framework-cocoa", "pywin32"] -objc = ["pyobjc-framework-cocoa"] +nativelib = ["pyobjc-framework-Cocoa", "pywin32"] +objc = ["pyobjc-framework-Cocoa"] win32 = ["pywin32"] [[package]] -name = "setuptools-scm" -version = "7.0.5" -description = "the blessed package to manage your versions by scm tags" +name = "serpent" +version = "1.41" +description = "Serialization based on ast.literal_eval" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.2" +files = [ + {file = "serpent-1.41-py3-none-any.whl", hash = "sha256:5fd776b3420441985bc10679564c2c9b4a19f77bea59f018e473441d98ae5dd7"}, + {file = "serpent-1.41.tar.gz", hash = "sha256:0407035fe3c6644387d48cff1467d5aa9feff814d07372b78677ed0ee3ed7095"}, +] -[package.dependencies] -packaging = ">=20.0" -tomli = ">=1.0.0" -typing-extensions = "*" +[[package]] +name = "setuptools" +version = "67.5.1" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "setuptools-67.5.1-py3-none-any.whl", hash = "sha256:1c39d42bda4cb89f7fdcad52b6762e3c309ec8f8715b27c684176b7d71283242"}, + {file = "setuptools-67.5.1.tar.gz", hash = "sha256:15136a251127da2d2e77ac7a1bc231eb504654f7e3346d93613a13f2e2787535"}, +] [package.extras] -test = ["pytest (>=6.2)", "virtualenv (>20)"] -toml = ["setuptools (>=42)"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] +testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] [[package]] name = "six" @@ -1942,6 +5030,10 @@ description = "Python 2 and 3 compatibility utilities" category = "main" 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 = "smmap" @@ -1950,6 +5042,10 @@ description = "A pure Python implementation of a sliding window memory map manag category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "smmap-5.0.0-py3-none-any.whl", hash = "sha256:2aba19d6a040e78d8b09de5c57e96207b09ed71d8e55ce0959eeee6c8e190d94"}, + {file = "smmap-5.0.0.tar.gz", hash = "sha256:c840e62059cd3be204b0c9c9f74be2c09d5648eddd4580d9314c3ecde0b30936"}, +] [[package]] name = "sniffio" @@ -1958,30 +5054,126 @@ description = "Sniff out which async library your code is running under" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"}, + {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"}, +] + +[[package]] +name = "sortedcollections" +version = "2.1.0" +description = "Python Sorted Collections" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "sortedcollections-2.1.0-py3-none-any.whl", hash = "sha256:b07abbc73472cc459da9dd6e2607d73d1f3b9309a32dd9a57fa2c6fa882f4c6c"}, + {file = "sortedcollections-2.1.0.tar.gz", hash = "sha256:d8e9609d6c580a16a1224a3dc8965789e03ebc4c3e5ffd05ada54a2fed5dcacd"}, +] + +[package.dependencies] +sortedcontainers = "*" + +[[package]] +name = "sortedcontainers" +version = "2.4.0" +description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"}, + {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"}, +] + +[[package]] +name = "soundfile" +version = "0.12.1" +description = "An audio library based on libsndfile, CFFI and NumPy" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "soundfile-0.12.1-py2.py3-none-any.whl", hash = "sha256:828a79c2e75abab5359f780c81dccd4953c45a2c4cd4f05ba3e233ddf984b882"}, + {file = "soundfile-0.12.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:d922be1563ce17a69582a352a86f28ed8c9f6a8bc951df63476ffc310c064bfa"}, + {file = "soundfile-0.12.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:bceaab5c4febb11ea0554566784bcf4bc2e3977b53946dda2b12804b4fe524a8"}, + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_31_x86_64.whl", hash = "sha256:074247b771a181859d2bc1f98b5ebf6d5153d2c397b86ee9e29ba602a8dfe2a6"}, + {file = "soundfile-0.12.1-py2.py3-none-win32.whl", hash = "sha256:59dfd88c79b48f441bbf6994142a19ab1de3b9bb7c12863402c2bc621e49091a"}, + {file = "soundfile-0.12.1-py2.py3-none-win_amd64.whl", hash = "sha256:0d86924c00b62552b650ddd28af426e3ff2d4dc2e9047dae5b3d8452e0a49a77"}, + {file = "soundfile-0.12.1.tar.gz", hash = "sha256:e8e1017b2cf1dda767aef19d2fd9ee5ebe07e050d430f77a0a7c66ba08b8cdae"}, +] + +[package.dependencies] +cffi = ">=1.0" + +[package.extras] +numpy = ["numpy"] [[package]] name = "soupsieve" -version = "2.3.2.post1" +version = "2.4" description = "A modern CSS selector implementation for Beautiful Soup." category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" +files = [ + {file = "soupsieve-2.4-py3-none-any.whl", hash = "sha256:49e5368c2cda80ee7e84da9dbe3e110b70a4575f196efb74e51b94549d921955"}, + {file = "soupsieve-2.4.tar.gz", hash = "sha256:e28dba9ca6c7c00173e34e4ba57448f0688bb681b7c5e8bf4971daafc093d69a"}, +] + +[[package]] +name = "speechrecognition" +version = "3.9.0" +description = "Library for performing speech recognition, with support for several engines and APIs, online and offline." +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "SpeechRecognition-3.9.0-py2.py3-none-any.whl", hash = "sha256:6da44facb564b3f2bcee96a2bf876b89a14f61afdee1e7fb12815e58211fd329"}, + {file = "SpeechRecognition-3.9.0.tar.gz", hash = "sha256:a2f992acda6314a3fa574bf84c2e075ce75f2b4c143b4435d7cbc98f66565ee7"}, +] + +[package.dependencies] +requests = ">=2.26.0" [[package]] name = "stack-data" -version = "0.5.1" +version = "0.6.2" description = "Extract data from python stack frames and tracebacks for informative displays" category = "main" optional = false python-versions = "*" +files = [ + {file = "stack_data-0.6.2-py3-none-any.whl", hash = "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"}, + {file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"}, +] [package.dependencies] -asttokens = "*" -executing = "*" +asttokens = ">=2.1.0" +executing = ">=1.2.0" pure-eval = "*" [package.extras] -tests = ["cython", "littleutils", "pygments", "typeguard", "pytest"] +tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] + +[[package]] +name = "starlette" +version = "0.25.0" +description = "The little ASGI library that shines." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "starlette-0.25.0-py3-none-any.whl", hash = "sha256:774f1df1983fd594b9b6fb3ded39c2aa1979d10ac45caac0f4255cbe2acb8628"}, + {file = "starlette-0.25.0.tar.gz", hash = "sha256:854c71e73736c429c2bdb07801f2c76c9cba497e7c3cf4988fde5e95fe4cdb3c"}, +] + +[package.dependencies] +anyio = ">=3.4.0,<5" +typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""} + +[package.extras] +full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"] [[package]] name = "streamlit" @@ -1990,6 +5182,10 @@ description = "The fastest way to build data apps in Python" category = "dev" optional = false python-versions = ">=3.7, !=3.9.7" +files = [ + {file = "streamlit-1.13.0-py2.py3-none-any.whl", hash = "sha256:3231a6f424f8a7f365dc9e46d4fbb66a3634fd570c74769b8a69f792d9285d3a"}, + {file = "streamlit-1.13.0.tar.gz", hash = "sha256:eb178dc87d9f01e2be11ee9e4d55f79a678597ece56cacbfe5a9236d768d48da"}, +] [package.dependencies] altair = ">=3.2.0" @@ -2019,22 +5215,29 @@ watchdog = {version = "*", markers = "platform_system != \"Darwin\""} [[package]] name = "tenacity" -version = "8.1.0" +version = "8.2.1" description = "Retry code until it succeeds" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "tenacity-8.2.1-py3-none-any.whl", hash = "sha256:dd1b769ca7002fda992322939feca5bee4fa11f39146b0af14e0b8d9f27ea854"}, + {file = "tenacity-8.2.1.tar.gz", hash = "sha256:c7bb4b86425b977726a7b49971542d4f67baf72096597d283f3ffd01f33b92df"}, +] [package.extras] doc = ["reno", "sphinx", "tornado (>=4.5)"] [[package]] name = "tensorboard" -version = "2.10.1" +version = "2.11.2" description = "TensorBoard lets you watch Tensors Flow" category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" +files = [ + {file = "tensorboard-2.11.2-py3-none-any.whl", hash = "sha256:cbaa2210c375f3af1509f8571360a19ccc3ded1d9641533414874b5deca47e89"}, +] [package.dependencies] absl-py = ">=0.4" @@ -2043,11 +5246,13 @@ google-auth-oauthlib = ">=0.4.1,<0.5" grpcio = ">=1.24.3" markdown = ">=2.6.8" numpy = ">=1.12.0" -protobuf = ">=3.9.2,<3.20" +protobuf = ">=3.9.2,<4" requests = ">=2.21.0,<3" +setuptools = ">=41.0.0" tensorboard-data-server = ">=0.6.0,<0.7.0" tensorboard-plugin-wit = ">=1.6.0" werkzeug = ">=1.0.1" +wheel = ">=0.26" [[package]] name = "tensorboard-data-server" @@ -2056,6 +5261,11 @@ description = "Fast data loading for TensorBoard" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "tensorboard_data_server-0.6.1-py3-none-any.whl", hash = "sha256:809fe9887682d35c1f7d1f54f0f40f98bb1f771b14265b453ca051e2ce58fca7"}, + {file = "tensorboard_data_server-0.6.1-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fa8cef9be4fcae2f2363c88176638baf2da19c5ec90addb49b1cde05c95c88ee"}, + {file = "tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl", hash = "sha256:d8237580755e58eff68d1f3abefb5b1e39ae5c8b127cc40920f9c4fb33f4b98a"}, +] [[package]] name = "tensorboard-plugin-wit" @@ -2064,14 +5274,35 @@ description = "What-If Tool TensorBoard plugin." category = "main" optional = false python-versions = "*" +files = [ + {file = "tensorboard_plugin_wit-1.8.1-py3-none-any.whl", hash = "sha256:ff26bdd583d155aa951ee3b152b3d0cffae8005dc697f72b44a8e8c2a77a8cbe"}, +] [[package]] name = "tensorflow" -version = "2.10.0" +version = "2.11.0" description = "TensorFlow is an open source machine learning framework for everyone." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "tensorflow-2.11.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:6c049fec6c2040685d6f43a63e17ccc5d6b0abc16b70cc6f5e7d691262b5d2d0"}, + {file = "tensorflow-2.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bcc8380820cea8f68f6c90b8aee5432e8537e5bb9ec79ac61a98e6a9a02c7d40"}, + {file = "tensorflow-2.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d973458241c8771bf95d4ba68ad5d67b094f72dd181c2d562ffab538c1b0dad7"}, + {file = "tensorflow-2.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:d470b772ee3c291a8c7be2331e7c379e0c338223c0bf532f5906d4556f17580d"}, + {file = "tensorflow-2.11.0-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:d29c1179149fa469ad68234c52c83081d037ead243f90e826074e2563a0f938a"}, + {file = "tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2cdba2fce00d6c924470d4fb65d5e95a4b6571a863860608c0c13f0393f4ca0d"}, + {file = "tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f2ab20f93d2b52a44b414ec6dcf82aa12110e90e0920039a27108de28ae2728"}, + {file = "tensorflow-2.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:445510f092f7827e1f60f59b8bfb58e664aaf05d07daaa21c5735a7f76ca2b25"}, + {file = "tensorflow-2.11.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:056d29f2212342536ce3856aa47910a2515eb97ec0a6cc29ed47fc4be1369ec8"}, + {file = "tensorflow-2.11.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17b29d6d360fad545ab1127db52592efd3f19ac55c1a45e5014da328ae867ab4"}, + {file = "tensorflow-2.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:335ab5cccd7a1c46e3d89d9d46913f0715e8032df8d7438f9743b3fb97b39f69"}, + {file = "tensorflow-2.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:d48da37c8ae711eb38047a56a052ca8bb4ee018a91a479e42b7a8d117628c32e"}, + {file = "tensorflow-2.11.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:d9cf25bca641f2e5c77caa3bfd8dd6b892a7aec0695c54d2a7c9f52a54a8d487"}, + {file = "tensorflow-2.11.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d28f9691ebc48c0075e271023b3f147ae2bc29a3d3a7f42d45019c6b4a700d2"}, + {file = "tensorflow-2.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:276a44210d956701899dc78ad0aa116a0071f22fb0bcc1ea6bb59f7646b08d11"}, + {file = "tensorflow-2.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:cc3444fe1d58c65a195a69656bf56015bf19dc2916da607d784b0a1e215ec008"}, +] [package.dependencies] absl-py = ">=1.0.0" @@ -2081,62 +5312,94 @@ gast = ">=0.2.1,<=0.4.0" google-pasta = ">=0.1.1" grpcio = ">=1.24.3,<2.0" h5py = ">=2.9.0" -keras = ">=2.10.0,<2.11" -keras-preprocessing = ">=1.1.1" +keras = ">=2.11.0,<2.12" libclang = ">=13.0.0" numpy = ">=1.20" opt-einsum = ">=2.3.2" packaging = "*" protobuf = ">=3.9.2,<3.20" +setuptools = "*" six = ">=1.12.0" -tensorboard = ">=2.10,<2.11" -tensorflow-estimator = ">=2.10.0,<2.11" -tensorflow-io-gcs-filesystem = ">=0.23.1" +tensorboard = ">=2.11,<2.12" +tensorflow-estimator = ">=2.11.0,<2.12" +tensorflow-io-gcs-filesystem = {version = ">=0.23.1", markers = "platform_machine != \"arm64\" or platform_system != \"Darwin\""} termcolor = ">=1.1.0" typing-extensions = ">=3.6.6" wrapt = ">=1.11.0" [[package]] name = "tensorflow-estimator" -version = "2.10.0" +version = "2.11.0" description = "TensorFlow Estimator." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "tensorflow_estimator-2.11.0-py2.py3-none-any.whl", hash = "sha256:ea3b64acfff3d9a244f06178c9bdedcbdd3f125b67d0888dba8229498d06468b"}, +] [[package]] name = "tensorflow-io-gcs-filesystem" -version = "0.27.0" +version = "0.31.0" description = "TensorFlow IO" category = "main" optional = false -python-versions = ">=3.7, <3.11" +python-versions = ">=3.7, <3.12" +files = [ + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:a71421f8d75a093b6aac65b4c8c8d2f768c3ca6215307cf8c16192e62d992bcf"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:359134ecbd3bf938bb0cf65be4526106c30da461b2e2ce05446a229ed35f6832"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b658b33567552f155af2ed848130f787bfda29381fa78cd905d5ee8254364f3c"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-win_amd64.whl", hash = "sha256:961353b38c76471fa296bb7d883322c66b91415e7d47087236a6706db3ab2758"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:8909c4344b0e96aa356230ab460ffafe5900c33c1aaced65fafae71d177a1966"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e417faf8755aafe52d8f8c6b5ae5bae6e4fae8326ee3acd5e9181b83bbfbae87"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37c40e3c4ee1f8dda3b545deea6b8839192c82037d8021db9f589908034ad975"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-win_amd64.whl", hash = "sha256:4bb37d23f21c434687b11059cb7ffd094d52a7813368915ba1b7057e3c16e414"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:a7e8d4bd0a25de7637e562997c011294d7ea595a76f315427a5dd522d56e9d49"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:fbcfb4aa2eaa9a3038d2487e570ff93feb1dbe51c3a4663d7d9ab9f9a9f9a9d8"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e3933059b1c53e062075de2e355ec136b655da5883c3c26736c45dfeb1901945"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:f0adfbcd264262797d429311843733da2d5c1ffb119fbfa6339269b6c0414113"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:20e3ee5df01f2bd81d37fc715816c329b7533ccca967c47946eb458a5b7a7280"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd628609b77aee0e385eadf1628222486f19b8f1d81b5f0a344f2470204df116"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp38-cp38-win_amd64.whl", hash = "sha256:b4ebb30ad7ce5f3769e3d959ea99bd95d80a44099bcf94da6042f9755ac6e850"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:68b89ef9f63f297de1cd9d545bc45dddc7d8fe12bcda4266279b244e8cf3b7c0"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e6d8cc7b14ade870168b9704ee44f9c55b468b9a00ed40e12d20fffd321193b5"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97ebb9a8001a38f615aa1f90d2e998b7bd6eddae7aafc92897833610b039401b"}, + {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-win_amd64.whl", hash = "sha256:cb7459c15608fe42973a78e4d3ad7ac79cfc7adae1ccb1b1846db3165fbc081a"}, +] [package.extras] -tensorflow = ["tensorflow (>=2.10.0,<2.11.0)"] -tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.10.0,<2.11.0)"] -tensorflow-cpu = ["tensorflow-cpu (>=2.10.0,<2.11.0)"] -tensorflow-gpu = ["tensorflow-gpu (>=2.10.0,<2.11.0)"] -tensorflow-rocm = ["tensorflow-rocm (>=2.10.0,<2.11.0)"] +tensorflow = ["tensorflow (>=2.11.0,<2.12.0)"] +tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.11.0,<2.12.0)"] +tensorflow-cpu = ["tensorflow-cpu (>=2.11.0,<2.12.0)"] +tensorflow-gpu = ["tensorflow-gpu (>=2.11.0,<2.12.0)"] +tensorflow-rocm = ["tensorflow-rocm (>=2.11.0,<2.12.0)"] [[package]] name = "termcolor" -version = "2.0.1" +version = "2.2.0" description = "ANSI color formatting for output in terminal" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "termcolor-2.2.0-py3-none-any.whl", hash = "sha256:91ddd848e7251200eac969846cbae2dacd7d71c2871e92733289e7e3666f48e7"}, + {file = "termcolor-2.2.0.tar.gz", hash = "sha256:dfc8ac3f350788f23b2947b3e6cfa5a53b630b612e6cd8965a015a776020b99a"}, +] [package.extras] -tests = ["pytest-cov", "pytest"] +tests = ["pytest", "pytest-cov"] [[package]] name = "terminado" -version = "0.16.0" +version = "0.17.1" description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "terminado-0.17.1-py3-none-any.whl", hash = "sha256:8650d44334eba354dd591129ca3124a6ba42c3d5b70df5051b6921d506fdaeae"}, + {file = "terminado-0.17.1.tar.gz", hash = "sha256:6ccbbcd3a4f8a25a5ec04991f39a0b8db52dfcd487ea0e578d977e6752380333"}, +] [package.dependencies] ptyprocess = {version = "*", markers = "os_name != \"nt\""} @@ -2144,7 +5407,8 @@ pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} tornado = ">=6.1.0" [package.extras] -test = ["pre-commit", "pytest-timeout", "pytest (>=6.0)"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] [[package]] name = "threadpoolctl" @@ -2153,6 +5417,28 @@ description = "threadpoolctl" category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"}, + {file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"}, +] + +[[package]] +name = "tifffile" +version = "2023.2.3" +description = "Read and write TIFF files" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "tifffile-2023.2.3-py3-none-any.whl", hash = "sha256:6df45c1eab632eadb9384994c8ae8bc424cd3c26e9508481a345dbef1dcfd480"}, + {file = "tifffile-2023.2.3.tar.gz", hash = "sha256:458df5ad9a5217f668edd636dc19fbc736062bf78aac823ab84cdbae9de8eaa6"}, +] + +[package.dependencies] +numpy = "*" + +[package.extras] +all = ["defusedxml", "fsspec", "imagecodecs (>=2023.1.23)", "lxml", "matplotlib", "zarr"] [[package]] name = "tinycss2" @@ -2161,26 +5447,72 @@ description = "A tiny CSS parser" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "tinycss2-1.2.1-py3-none-any.whl", hash = "sha256:2b80a96d41e7c3914b8cda8bc7f705a4d9c49275616e886103dd839dfc847847"}, + {file = "tinycss2-1.2.1.tar.gz", hash = "sha256:8cff3a8f066c2ec677c06dbc7b45619804a6938478d9d73c284b29d14ecb0627"}, +] [package.dependencies] webencodings = ">=0.4" [package.extras] +doc = ["sphinx", "sphinx_rtd_theme"] test = ["flake8", "isort", "pytest"] -doc = ["sphinx-rtd-theme", "sphinx"] [[package]] name = "tokenizers" -version = "0.13.1" +version = "0.13.2" description = "Fast and Customizable Tokenizers" category = "main" optional = false python-versions = "*" +files = [ + {file = "tokenizers-0.13.2-cp310-cp310-macosx_10_11_x86_64.whl", hash = "sha256:a6f36b1b499233bb4443b5e57e20630c5e02fba61109632f5e00dab970440157"}, + {file = "tokenizers-0.13.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:bc6983282ee74d638a4b6d149e5dadd8bc7ff1d0d6de663d69f099e0c6bddbeb"}, + {file = "tokenizers-0.13.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16756e6ab264b162f99c0c0a8d3d521328f428b33374c5ee161c0ebec42bf3c0"}, + {file = "tokenizers-0.13.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b10db6e4b036c78212c6763cb56411566edcf2668c910baa1939afd50095ce48"}, + {file = "tokenizers-0.13.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:238e879d1a0f4fddc2ce5b2d00f219125df08f8532e5f1f2ba9ad42f02b7da59"}, + {file = "tokenizers-0.13.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47ef745dbf9f49281e900e9e72915356d69de3a4e4d8a475bda26bfdb5047736"}, + {file = "tokenizers-0.13.2-cp310-cp310-win32.whl", hash = "sha256:96cedf83864bcc15a3ffd088a6f81a8a8f55b8b188eabd7a7f2a4469477036df"}, + {file = "tokenizers-0.13.2-cp310-cp310-win_amd64.whl", hash = "sha256:eda77de40a0262690c666134baf19ec5c4f5b8bde213055911d9f5a718c506e1"}, + {file = "tokenizers-0.13.2-cp311-cp311-macosx_10_11_universal2.whl", hash = "sha256:9eee037bb5aa14daeb56b4c39956164b2bebbe6ab4ca7779d88aa16b79bd4e17"}, + {file = "tokenizers-0.13.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d1b079c4c9332048fec4cb9c2055c2373c74fbb336716a5524c9a720206d787e"}, + {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a689654fc745135cce4eea3b15e29c372c3e0b01717c6978b563de5c38af9811"}, + {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3606528c07cda0566cff6cbfbda2b167f923661be595feac95701ffcdcbdbb21"}, + {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:41291d0160946084cbd53c8ec3d029df3dc2af2673d46b25ff1a7f31a9d55d51"}, + {file = "tokenizers-0.13.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7892325f9ca1cc5fca0333d5bfd96a19044ce9b092ce2df625652109a3de16b8"}, + {file = "tokenizers-0.13.2-cp311-cp311-win32.whl", hash = "sha256:93714958d4ebe5362d3de7a6bd73dc86c36b5af5941ebef6c325ac900fa58865"}, + {file = "tokenizers-0.13.2-cp311-cp311-win_amd64.whl", hash = "sha256:fa7ef7ee380b1f49211bbcfac8a006b1a3fa2fa4c7f4ee134ae384eb4ea5e453"}, + {file = "tokenizers-0.13.2-cp37-cp37m-macosx_10_11_x86_64.whl", hash = "sha256:da521bfa94df6a08a6254bb8214ea04854bb9044d61063ae2529361688b5440a"}, + {file = "tokenizers-0.13.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a739d4d973d422e1073989769723f3b6ad8b11e59e635a63de99aea4b2208188"}, + {file = "tokenizers-0.13.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cac01fc0b868e4d0a3aa7c5c53396da0a0a63136e81475d32fcf5c348fcb2866"}, + {file = "tokenizers-0.13.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0901a5c6538d2d2dc752c6b4bde7dab170fddce559ec75662cfad03b3187c8f6"}, + {file = "tokenizers-0.13.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ba9baa76b5a3eefa78b6cc351315a216232fd727ee5e3ce0f7c6885d9fb531b"}, + {file = "tokenizers-0.13.2-cp37-cp37m-win32.whl", hash = "sha256:a537061ee18ba104b7f3daa735060c39db3a22c8a9595845c55b6c01d36c5e87"}, + {file = "tokenizers-0.13.2-cp37-cp37m-win_amd64.whl", hash = "sha256:c82fb87b1cbfa984d8f05b2b3c3c73e428b216c1d4f0e286d0a3b27f521b32eb"}, + {file = "tokenizers-0.13.2-cp38-cp38-macosx_10_11_x86_64.whl", hash = "sha256:ce298605a833ac7f81b8062d3102a42dcd9fa890493e8f756112c346339fe5c5"}, + {file = "tokenizers-0.13.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:f44d59bafe3d61e8a56b9e0a963075187c0f0091023120b13fbe37a87936f171"}, + {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a51b93932daba12ed07060935978a6779593a59709deab04a0d10e6fd5c29e60"}, + {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6969e5ea7ccb909ce7d6d4dfd009115dc72799b0362a2ea353267168667408c4"}, + {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:92f040c4d938ea64683526b45dfc81c580e3b35aaebe847e7eec374961231734"}, + {file = "tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d3bc9f7d7f4c1aa84bb6b8d642a60272c8a2c987669e9bb0ac26daf0c6a9fc8"}, + {file = "tokenizers-0.13.2-cp38-cp38-win32.whl", hash = "sha256:efbf189fb9cf29bd29e98c0437bdb9809f9de686a1e6c10e0b954410e9ca2142"}, + {file = "tokenizers-0.13.2-cp38-cp38-win_amd64.whl", hash = "sha256:0b4cb2c60c094f31ea652f6cf9f349aae815f9243b860610c29a69ed0d7a88f8"}, + {file = "tokenizers-0.13.2-cp39-cp39-macosx_10_11_x86_64.whl", hash = "sha256:b47d6212e7dd05784d7330b3b1e5a170809fa30e2b333ca5c93fba1463dec2b7"}, + {file = "tokenizers-0.13.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:80a57501b61ec4f94fb7ce109e2b4a1a090352618efde87253b4ede6d458b605"}, + {file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61507a9953f6e7dc3c972cbc57ba94c80c8f7f686fbc0876afe70ea2b8cc8b04"}, + {file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c09f4fa620e879debdd1ec299bb81e3c961fd8f64f0e460e64df0818d29d845c"}, + {file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:66c892d85385b202893ac6bc47b13390909e205280e5df89a41086cfec76fedb"}, + {file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3e306b0941ad35087ae7083919a5c410a6b672be0343609d79a1171a364ce79"}, + {file = "tokenizers-0.13.2-cp39-cp39-win32.whl", hash = "sha256:79189e7f706c74dbc6b753450757af172240916d6a12ed4526af5cc6d3ceca26"}, + {file = "tokenizers-0.13.2-cp39-cp39-win_amd64.whl", hash = "sha256:486d637b413fddada845a10a45c74825d73d3725da42ccd8796ccd7a1c07a024"}, + {file = "tokenizers-0.13.2.tar.gz", hash = "sha256:f9525375582fd1912ac3caa2f727d36c86ff8c0c6de45ae1aaff90f87f33b907"}, +] [package.extras] -dev = ["pytest", "requests", "numpy", "datasets"] -docs = ["sphinx", "sphinx-rtd-theme", "setuptools-rust"] -testing = ["pytest", "requests", "numpy", "datasets"] +dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"] +docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"] +testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"] [[package]] name = "toml" @@ -2189,22 +5521,22 @@ description = "Python Library for Tom's Obvious, Minimal Language" category = "dev" optional = false python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" - -[[package]] -name = "tomli" -version = "2.0.1" -description = "A lil' TOML parser" -category = "main" -optional = false -python-versions = ">=3.7" +files = [ + {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"}, + {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"}, +] [[package]] name = "toolz" version = "0.12.0" description = "List processing tools and functional utilities" -category = "dev" +category = "main" optional = false python-versions = ">=3.5" +files = [ + {file = "toolz-0.12.0-py3-none-any.whl", hash = "sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f"}, + {file = "toolz-0.12.0.tar.gz", hash = "sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194"}, +] [[package]] name = "torch" @@ -2213,17 +5545,59 @@ description = "Tensors and Dynamic neural networks in Python with strong GPU acc category = "main" optional = false python-versions = ">=3.7.0" - -[package.dependencies] -typing-extensions = "*" - -[[package]] -name = "torchaudio" -version = "0.11.0" -description = "An audio package for PyTorch" -category = "main" -optional = false -python-versions = "*" +files = [ + {file = "torch-1.11.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:62052b50fffc29ca7afc0c04ef8206b6f1ca9d10629cb543077e12967e8d0398"}, + {file = "torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:866bfba29ac98dec35d893d8e17eaec149d0ac7a53be7baae5c98069897db667"}, + {file = "torch-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:951640fb8db308a59d9b510e7d1ad910aff92913323bbe4bc75435347ddd346d"}, + {file = "torch-1.11.0-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:5d77b5ece78fdafa5c7f42995ff9474399d22571cd6b2de21a5d666306a2ff8c"}, + {file = "torch-1.11.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:b5a38682769b544c875ecc34bcb81fbad5c922139b61319aacffcfd8a32f528c"}, + {file = "torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:f82d77695a60626f2b7382d85bc566de8a6b3e50d32080755abc040db802e419"}, + {file = "torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b96654d42566080a134e784705f33f8536b3b95b5dcde357ed7879b1692a5f78"}, + {file = "torch-1.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:8ee7c2e8d7f7020d5bfbc1bb91b9591044c26bbd0cee5e4f694cfd7ed8649260"}, + {file = "torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:6860b1d1bf0bb0b67a6bd47f85a0e4c825b518eea13b5d6101999dbbcbd5bc0c"}, + {file = "torch-1.11.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:4322aa29f50da7f404db06cdf30896ea67b09f673af4a985afc7162bc897864d"}, + {file = "torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e4d2e0ddd652f30e94cff750220324ec45705d4ecc69658f773b3cb1c7a28dd0"}, + {file = "torch-1.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:34ce5ea4d8d85da32cdbadb50d4585106901e9f8a3527991daa70c13a09de1f7"}, + {file = "torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:0ccc85cd06227a3edf809e2c795fd5762c3d4e8a38b5c9f744c6e7cf841361bb"}, + {file = "torch-1.11.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c1554e49d74f1b2c3e7202d77056ba2dd7465437585bac64062b580f714a44e9"}, + {file = "torch-1.11.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:58c7814502b1c129a650d7092033bbb0bbd64faf1a7941631aaa1aeaddc37570"}, + {file = "torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:831cf588f01dda9409e75576741d2823453990dee2983d670f2584b37a01adf7"}, + {file = "torch-1.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:44a1d02fd20f827f0f36dc26fdcfc45e793806a6ad52769a22260655a77a4369"}, + {file = "torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:50fd9bf85c578c871c28f1cb0ace9dfc6024401c7f399b174fb0f370899f4454"}, + {file = "torch-1.11.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:0e48af66ad755f0f9c5f2664028a414f57c49d6adc37e77e06fe0004da4edb61"}, +] + +[package.dependencies] +typing-extensions = "*" + +[[package]] +name = "torchaudio" +version = "0.11.0" +description = "An audio package for PyTorch" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "torchaudio-0.11.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:8363e3db0a8af5820fd7d3bf8396a0af23dc8221c9a9d4b60e2e389805492944"}, + {file = "torchaudio-0.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3a3b2cceb95f04ed936da33bc53bd666dab0715a79db33ae4719852241dc2d2"}, + {file = "torchaudio-0.11.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:4e70645a1b77a89d9f40406f1a5b9af724f726a5c13bc2be55381e72b0fa63b6"}, + {file = "torchaudio-0.11.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:4d45833276a34ba0cdc9743b93141e6dbf17950091bb07940a30a6bf6cb80f05"}, + {file = "torchaudio-0.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:eff169d339d671b44bd777188be62861f4a3fca0779ecaa37518218e1e90978e"}, + {file = "torchaudio-0.11.0-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:b9a4d3e1ab611161c065ed2106804833ff4b85f64d84021ec590468363169f9d"}, + {file = "torchaudio-0.11.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:a2f27bd7b53c5a3d91b120b8291a46fb09ba3e5aa4e54dd5c8fe47fbb8f7d848"}, + {file = "torchaudio-0.11.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:3a3964f8a50cdeba8a02d20f07305853650a2dc3fb604a2334dce6b68cf8ea38"}, + {file = "torchaudio-0.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:21837810b14fec5fbd21055f8153f608f4957d8a563055402913a3da6bf602de"}, + {file = "torchaudio-0.11.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:f4e9dda9e8d3ce0bbd5e791926219f5054b8b85365c79be2ee90333acf9adbfc"}, + {file = "torchaudio-0.11.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:317fd8ec39fddb3af1dad906593b9ecdc3edf68e7f5780c42f8de956585ae480"}, + {file = "torchaudio-0.11.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7bcd958c31071accc8147f4781acd64743e37fcdc72c06b6eaa37dc88fb1ee28"}, + {file = "torchaudio-0.11.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:77add44d291a8a97f3a607cef053f009a27296f5d99f33082c57c4e6c326fafc"}, + {file = "torchaudio-0.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:771bb585311306c416de6ca20f60eb6940bff8f5e3b43fd8204f22d37e794ac2"}, + {file = "torchaudio-0.11.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:70d8bc07f277608d23a9aa08db3fbaf035660254bc12d9b361640c4556777559"}, + {file = "torchaudio-0.11.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e5e5513fcdd57870061965befbf0765787b25f499c3e00b58f4d844e44183177"}, + {file = "torchaudio-0.11.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7eb1376d2ed2693ada562841500ff84a8be40b63c859d10fb70e423af5f6c2fb"}, + {file = "torchaudio-0.11.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:9d1196a0f21041f60e915c2aa1b3fa9734d23f3b56f78794b2684cbd498a9dcb"}, + {file = "torchaudio-0.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:cd938f5e4a9456112574f28c493422525095c0fa27bd41215ff9d27999e52a2c"}, +] [package.dependencies] torch = "1.11.0" @@ -2235,6 +5609,27 @@ description = "image and video datasets and models for torch deep learning" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "torchvision-0.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:693656e6790b6ab21e4a6e87e81c2982bad9e455b5eb24e14bb672382ec6130f"}, + {file = "torchvision-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0be4501ca0ba1b195644c9243f49a1c49a26e52a7f37924c4239d0bf5ecbd8d"}, + {file = "torchvision-0.12.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:ebfb47adf65bf3926b990b2c4767e291f135e259e03232e0e1a30ecdb05eb087"}, + {file = "torchvision-0.12.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:9771231639afb5973cdaea1d449b451e2982e1ef5410ca67bbdc2b465565573a"}, + {file = "torchvision-0.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:894dacdc64b6e35e3f330722db51c76f4de016c7bf7bd79cf02ed2f4c106e625"}, + {file = "torchvision-0.12.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:36dfdf6451fe3072ab15118982853b848896c0fd3b26cb8135e1e7981dbb0916"}, + {file = "torchvision-0.12.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:aac76d52c5ce4229cb0eaebb762f3391fa736565eb35a4184fa0f7be30b705cd"}, + {file = "torchvision-0.12.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:926666f0b893dce6619759c19b0dd3884af7a9d7022b10395653659d28e43c48"}, + {file = "torchvision-0.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:c225f55c1bfce027a03f4ca46ddb9559c83f8087c2880bed3261a76c49bb7996"}, + {file = "torchvision-0.12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d1ccb53836ba886320dcda12d00ee8b5f8f38b6c36d7906f141d25778cf74104"}, + {file = "torchvision-0.12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9f42420f7f0b29cd3d61776df3157827257a0cf16b2c02776dc16c96abb1256d"}, + {file = "torchvision-0.12.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:9017248c7e526c8cdcaaab8cf41d904a520a409d707398189a06d0757901d235"}, + {file = "torchvision-0.12.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:0744902f2265d4c3e83c44a06b567df312e4a9faf8c92620016c7bed7056b5a7"}, + {file = "torchvision-0.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:a91db01496932350bf9c0ee8607ac8ef31c3ebfdaedefe5c5cda0515317f8b8e"}, + {file = "torchvision-0.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:24d03fcaa28004c64a24124ac4a894c50f5948c8eb290e398d6c76fff2bc678f"}, + {file = "torchvision-0.12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:69d82f47b67bad6ddcbb87833ba5950a6c271ba97baae4c0955610071bf034f5"}, + {file = "torchvision-0.12.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:49ed7886b93b80c9733462edd06a07f8d4c6ea4d5bd2894e7268f7a3774f4f7d"}, + {file = "torchvision-0.12.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b93a767f44e3933cb3b01a6fe9727db54590f57b7dac09d5aaf15966c6c151dd"}, + {file = "torchvision-0.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:edab05f7ba9f648c00435b384ffdbd7bde79a3b8ea893813fb50f6ccf28b1e76"}, +] [package.dependencies] numpy = "*" @@ -2253,6 +5648,19 @@ description = "Tornado is a Python web framework and asynchronous networking lib category = "main" optional = false python-versions = ">= 3.7" +files = [ + {file = "tornado-6.2-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:20f638fd8cc85f3cbae3c732326e96addff0a15e22d80f049e00121651e82e72"}, + {file = "tornado-6.2-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:87dcafae3e884462f90c90ecc200defe5e580a7fbbb4365eda7c7c1eb809ebc9"}, + {file = "tornado-6.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba09ef14ca9893954244fd872798b4ccb2367c165946ce2dd7376aebdde8e3ac"}, + {file = "tornado-6.2-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b8150f721c101abdef99073bf66d3903e292d851bee51910839831caba341a75"}, + {file = "tornado-6.2-cp37-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3a2f5999215a3a06a4fc218026cd84c61b8b2b40ac5296a6db1f1451ef04c1e"}, + {file = "tornado-6.2-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:5f8c52d219d4995388119af7ccaa0bcec289535747620116a58d830e7c25d8a8"}, + {file = "tornado-6.2-cp37-abi3-musllinux_1_1_i686.whl", hash = "sha256:6fdfabffd8dfcb6cf887428849d30cf19a3ea34c2c248461e1f7d718ad30b66b"}, + {file = "tornado-6.2-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:1d54d13ab8414ed44de07efecb97d4ef7c39f7438cf5e976ccd356bebb1b5fca"}, + {file = "tornado-6.2-cp37-abi3-win32.whl", hash = "sha256:5c87076709343557ef8032934ce5f637dbb552efa7b21d08e89ae7619ed0eb23"}, + {file = "tornado-6.2-cp37-abi3-win_amd64.whl", hash = "sha256:e5f923aa6a47e133d1cf87d60700889d7eae68988704e20c75fb2d65677a8e4b"}, + {file = "tornado-6.2.tar.gz", hash = "sha256:9b630419bde84ec666bfd7ea0a4cb2a8a651c2d5cccdbdd1972a0c859dfc3c13"}, +] [[package]] name = "tqdm" @@ -2261,6 +5669,10 @@ description = "Fast, Extensible Progress Meter" category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" +files = [ + {file = "tqdm-4.64.1-py2.py3-none-any.whl", hash = "sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1"}, + {file = "tqdm-4.64.1.tar.gz", hash = "sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4"}, +] [package.dependencies] colorama = {version = "*", markers = "platform_system == \"Windows\""} @@ -2273,27 +5685,35 @@ telegram = ["requests"] [[package]] name = "traitlets" -version = "5.5.0" -description = "" +version = "5.9.0" +description = "Traitlets Python configuration system" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"}, + {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"}, +] [package.extras] docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] -test = ["pre-commit", "pytest"] +test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"] [[package]] name = "transformers" -version = "4.23.1" +version = "4.26.1" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" category = "main" optional = false python-versions = ">=3.7.0" +files = [ + {file = "transformers-4.26.1-py3-none-any.whl", hash = "sha256:dae2fa15290c1f526e1b629b0e235eea5e4c04078fcaf1f197a70d51b4f65df2"}, + {file = "transformers-4.26.1.tar.gz", hash = "sha256:32dc474157367f8e551f470af0136a1ddafc9e18476400c3869f1ef4f0c12042"}, +] [package.dependencies] filelock = "*" -huggingface-hub = ">=0.10.0,<1.0" +huggingface-hub = ">=0.11.0,<1.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" @@ -2304,61 +5724,100 @@ tqdm = ">=4.27" [package.extras] accelerate = ["accelerate (>=0.10.0)"] -all = ["tensorflow (>=2.4)", "onnxconverter-common", "tf2onnx", "tensorflow-text", "torch (>=1.7,!=1.12.0)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "flax (>=0.4.1)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf (<=3.20.2)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)", "accelerate (>=0.10.0)"] -audio = ["librosa", "pyctcdecode (>=0.3.0)", "phonemizer"] +all = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"] +audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] codecarbon = ["codecarbon (==1.2.0)"] -deepspeed = ["deepspeed (>=0.6.5)", "accelerate (>=0.10.0)"] -deepspeed-testing = ["deepspeed (>=0.6.5)", "accelerate (>=0.10.0)", "pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "pytest-timeout", "black (==22.3)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "nltk", "GitPython (<3.1.19)", "hf-doc-builder (>=0.3.0)", "protobuf (<=3.20.2)", "sacremoses", "rjieba", "safetensors (>=0.2.1)", "beautifulsoup4", "faiss-cpu", "cookiecutter (==1.7.3)", "optuna"] -dev = ["tensorflow (>=2.4)", "onnxconverter-common", "tf2onnx", "tensorflow-text", "torch (>=1.7,!=1.12.0)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "flax (>=0.4.1)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf (<=3.20.2)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)", "accelerate (>=0.10.0)", "pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "pytest-timeout", "black (==22.3)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "nltk", "GitPython (<3.1.19)", "hf-doc-builder (>=0.3.0)", "sacremoses", "rjieba", "safetensors (>=0.2.1)", "beautifulsoup4", "faiss-cpu", "cookiecutter (==1.7.3)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "sudachipy (>=0.6.6)", "sudachidict-core (>=20220729)", "pyknp (>=0.6.1)", "hf-doc-builder", "scikit-learn"] -dev-tensorflow = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "pytest-timeout", "black (==22.3)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "nltk", "GitPython (<3.1.19)", "hf-doc-builder (>=0.3.0)", "protobuf (<=3.20.2)", "sacremoses", "rjieba", "safetensors (>=0.2.1)", "beautifulsoup4", "faiss-cpu", "cookiecutter (==1.7.3)", "tensorflow (>=2.4)", "onnxconverter-common", "tf2onnx", "tensorflow-text", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "pillow", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "hf-doc-builder", "scikit-learn", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer"] -dev-torch = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "pytest-timeout", "black (==22.3)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "nltk", "GitPython (<3.1.19)", "hf-doc-builder (>=0.3.0)", "protobuf (<=3.20.2)", "sacremoses", "rjieba", "safetensors (>=0.2.1)", "beautifulsoup4", "faiss-cpu", "cookiecutter (==1.7.3)", "torch (>=1.7,!=1.12.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "sudachipy (>=0.6.6)", "sudachidict-core (>=20220729)", "pyknp (>=0.6.1)", "hf-doc-builder", "scikit-learn", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] -docs = ["tensorflow (>=2.4)", "onnxconverter-common", "tf2onnx", "tensorflow-text", "torch (>=1.7,!=1.12.0)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "flax (>=0.4.1)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf (<=3.20.2)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)", "accelerate (>=0.10.0)", "hf-doc-builder"] -docs_specific = ["hf-doc-builder"] +deepspeed = ["accelerate (>=0.10.0)", "deepspeed (>=0.6.5)"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.6.5)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.4.1)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"] +docs = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"] +docs-specific = ["hf-doc-builder"] fairscale = ["fairscale (>0.3)"] -flax = ["jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "flax (>=0.4.1)", "optax (>=0.0.8)"] -flax-speech = ["librosa", "pyctcdecode (>=0.3.0)", "phonemizer"] +flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8)"] +flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] -integrations = ["optuna", "ray", "sigopt"] -ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "sudachipy (>=0.6.6)", "sudachidict-core (>=20220729)", "pyknp (>=0.6.1)"] +integrations = ["optuna", "ray[tune]", "sigopt"] +ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"] modelcreation = ["cookiecutter (==1.7.3)"] -onnx = ["onnxconverter-common", "tf2onnx", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] +natten = ["natten (>=0.14.4)"] +onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] optuna = ["optuna"] -quality = ["black (==22.3)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "GitPython (<3.1.19)", "hf-doc-builder (>=0.3.0)"] -ray = ["ray"] -retrieval = ["faiss-cpu", "datasets (!=2.5.0)"] +quality = ["GitPython (<3.1.19)", "black (==22.3)", "datasets (!=2.5.0)", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)"] +ray = ["ray[tune]"] +retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] -sentencepiece = ["sentencepiece (>=0.1.91,!=0.1.92)", "protobuf (<=3.20.2)"] -serving = ["pydantic", "uvicorn", "fastapi", "starlette"] +sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"] +serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] -speech = ["torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer"] -testing = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "pytest-timeout", "black (==22.3)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "nltk", "GitPython (<3.1.19)", "hf-doc-builder (>=0.3.0)", "protobuf (<=3.20.2)", "sacremoses", "rjieba", "safetensors (>=0.2.1)", "beautifulsoup4", "faiss-cpu", "cookiecutter (==1.7.3)"] -tf = ["tensorflow (>=2.4)", "onnxconverter-common", "tf2onnx", "tensorflow-text"] -tf-cpu = ["tensorflow-cpu (>=2.3)", "onnxconverter-common", "tf2onnx", "tensorflow-text"] -tf-speech = ["librosa", "pyctcdecode (>=0.3.0)", "phonemizer"] +speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx"] +tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.12)", "tensorflow-text", "tf2onnx"] +tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"] torch = ["torch (>=1.7,!=1.12.0)"] -torch-speech = ["torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer"] -torchhub = ["filelock", "huggingface-hub (>=0.10.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.7,!=1.12.0)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "tqdm (>=4.27)"] -vision = ["pillow"] +torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +torchhub = ["filelock", "huggingface-hub (>=0.11.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "tqdm (>=4.27)"] +video = ["decord (==0.6.0)"] +vision = ["Pillow"] + +[[package]] +name = "triton" +version = "2.0.0" +description = "A language and compiler for custom Deep Learning operations" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "triton-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f05a7e64e4ca0565535e3d5d3405d7e49f9d308505bb7773d21fb26a4c008c2"}, + {file = "triton-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb4b99ca3c6844066e516658541d876c28a5f6e3a852286bbc97ad57134827fd"}, + {file = "triton-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47b4d70dc92fb40af553b4460492c31dc7d3a114a979ffb7a5cdedb7eb546c08"}, + {file = "triton-2.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fedce6a381901b1547e0e7e1f2546e4f65dca6d91e2d8a7305a2d1f5551895be"}, + {file = "triton-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75834f27926eab6c7f00ce73aaf1ab5bfb9bec6eb57ab7c0bfc0a23fac803b4c"}, + {file = "triton-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0117722f8c2b579cd429e0bee80f7731ae05f63fe8e9414acd9a679885fcbf42"}, + {file = "triton-2.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bcd9be5d0c2e45d2b7e6ddc6da20112b6862d69741576f9c3dbaf941d745ecae"}, + {file = "triton-2.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42a0d2c3fc2eab4ba71384f2e785fbfd47aa41ae05fa58bf12cb31dcbd0aeceb"}, + {file = "triton-2.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52c47b72c72693198163ece9d90a721299e4fb3b8e24fd13141e384ad952724f"}, +] + +[package.dependencies] +cmake = "*" +filelock = "*" +lit = "*" +torch = "*" + +[package.extras] +tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"] +tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typing-extensions" -version = "4.4.0" +version = "4.5.0" description = "Backported and Experimental Type Hints for Python 3.7+" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"}, + {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"}, +] [[package]] name = "tzdata" -version = "2022.6" +version = "2022.7" description = "Provider of IANA time zone data" category = "dev" optional = false python-versions = ">=2" +files = [ + {file = "tzdata-2022.7-py2.py3-none-any.whl", hash = "sha256:2b88858b0e3120792a3c0635c23daf36a7d7eeeca657c323da299d2094402a0d"}, + {file = "tzdata-2022.7.tar.gz", hash = "sha256:fe5f866eddd8b96e9fcba978f8e503c909b19ea7efda11e52e39494bad3a7bfa"}, +] [[package]] name = "tzlocal" @@ -2367,6 +5826,10 @@ description = "tzinfo object for the local timezone" category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "tzlocal-4.2-py3-none-any.whl", hash = "sha256:89885494684c929d9191c57aa27502afc87a579be5cdd3225c77c463ea043745"}, + {file = "tzlocal-4.2.tar.gz", hash = "sha256:ee5842fa3a795f023514ac2d801c4a81d1743bbe642e3940143326b3a00addd7"}, +] [package.dependencies] "backports.zoneinfo" = {version = "*", markers = "python_version < \"3.9\""} @@ -2375,7 +5838,22 @@ tzdata = {version = "*", markers = "platform_system == \"Windows\""} [package.extras] devenv = ["black", "pyroma", "pytest-cov", "zest.releaser"] -test = ["pytest-mock (>=3.3)", "pytest (>=4.3)"] +test = ["pytest (>=4.3)", "pytest-mock (>=3.3)"] + +[[package]] +name = "uc-micro-py" +version = "1.0.1" +description = "Micro subset of unicode data files for linkify-it-py projects." +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "uc-micro-py-1.0.1.tar.gz", hash = "sha256:b7cdf4ea79433043ddfe2c82210208f26f7962c0cfbe3bacb05ee879a7fdb596"}, + {file = "uc_micro_py-1.0.1-py3-none-any.whl", hash = "sha256:316cfb8b6862a0f1d03540f0ae6e7b033ff1fa0ddbe60c12cbe0d4cec846a69f"}, +] + +[package.extras] +test = ["coverage", "pytest", "pytest-cov"] [[package]] name = "umap-learn" @@ -2384,6 +5862,9 @@ description = "Uniform Manifold Approximation and Projection" category = "main" optional = false python-versions = "*" +files = [ + {file = "umap-learn-0.5.3.tar.gz", hash = "sha256:dbd57cb181c2b66d238acb5635697526bf24c798082daed0cf9b87f6a3a6c0c7"}, +] [package.dependencies] numba = ">=0.49" @@ -2394,22 +5875,60 @@ scipy = ">=1.0" tqdm = "*" [package.extras] -parametric_umap = ["tensorflow (>=2.1)", "tensorflow-probability (>=0.10)"] -plot = ["pandas", "matplotlib", "datashader", "bokeh", "holoviews", "colorcet", "seaborn", "scikit-image"] +parametric-umap = ["tensorflow (>=2.1)", "tensorflow-probability (>=0.10)"] +plot = ["bokeh", "colorcet", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"] + +[[package]] +name = "uri-template" +version = "1.2.0" +description = "RFC 6570 URI Template Processor" +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "uri_template-1.2.0-py3-none-any.whl", hash = "sha256:f1699c77b73b925cf4937eae31ab282a86dc885c333f2e942513f08f691fc7db"}, + {file = "uri_template-1.2.0.tar.gz", hash = "sha256:934e4d09d108b70eb8a24410af8615294d09d279ce0e7cbcdaef1bd21f932b06"}, +] + +[package.extras] +dev = ["flake8 (<4.0.0)", "flake8-annotations", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-noqa", "flake8-requirements", "flake8-type-annotations", "flake8-use-fstring", "mypy", "pep8-naming"] [[package]] name = "urllib3" -version = "1.26.12" +version = "1.26.14" description = "HTTP library with thread-safe connection pooling, file post, and more." category = "main" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" +files = [ + {file = "urllib3-1.26.14-py2.py3-none-any.whl", hash = "sha256:75edcdc2f7d85b137124a6c3c9fc3933cdeaa12ecb9a6a959f22797a0feca7e1"}, + {file = "urllib3-1.26.14.tar.gz", hash = "sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72"}, +] [package.extras] -brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"] -secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] +secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] +[[package]] +name = "uvicorn" +version = "0.20.0" +description = "The lightning-fast ASGI server." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "uvicorn-0.20.0-py3-none-any.whl", hash = "sha256:c3ed1598a5668208723f2bb49336f4509424ad198d6ab2615b7783db58d919fd"}, + {file = "uvicorn-0.20.0.tar.gz", hash = "sha256:a4e12017b940247f836bc90b72e725d7dfd0c8ed1c51eb365f5ba30d9f5127d8"}, +] + +[package.dependencies] +click = ">=7.0" +h11 = ">=0.8" + +[package.extras] +standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] + [[package]] name = "validators" version = "0.20.0" @@ -2417,31 +5936,80 @@ description = "Python Data Validation for Humansβ„’." category = "dev" optional = false python-versions = ">=3.4" +files = [ + {file = "validators-0.20.0.tar.gz", hash = "sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a"}, +] [package.dependencies] decorator = ">=3.4.0" [package.extras] -test = ["pytest (>=2.2.3)", "flake8 (>=2.4.0)", "isort (>=4.2.2)"] +test = ["flake8 (>=2.4.0)", "isort (>=4.2.2)", "pytest (>=2.2.3)"] [[package]] name = "watchdog" -version = "2.1.9" +version = "2.3.0" description = "Filesystem events monitoring" category = "dev" optional = false python-versions = ">=3.6" +files = [ + {file = "watchdog-2.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c1b3962e5463a848ba2a342cb66c80251dca27a102933b8f38d231d2a9e5a543"}, + {file = "watchdog-2.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9e651b4874477c1bf239417d43818bbfd047aaf641b029fa60d6f5109ede0db0"}, + {file = "watchdog-2.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d04662017efd00a014cff9068708e085d67f2fac43f48bbbb95a7f97490487f3"}, + {file = "watchdog-2.3.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0f7d759299ce21a3d2a77e18d430c24811369c3432453701790acc6ff45a7101"}, + {file = "watchdog-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a4b9bece40d46bf6fb8621817ea7d903eae2b9b3ebac55a51ed50354a79061a8"}, + {file = "watchdog-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:242e57253e84a736e6777ba756c48cf6a68d3d90cb9e01bd6bfd371a949ace3a"}, + {file = "watchdog-2.3.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:3fa74b0ef4825f9112932675a002296cb2d3d3e400d7a44c32fafd1ecc83ada0"}, + {file = "watchdog-2.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:15bf5b165d7a6b48265411dad74fb0d33053f8270eb6575faad0e016035cf9f7"}, + {file = "watchdog-2.3.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:139262f678b4e6a7013261c772059bca358441de04fb0e0087489a34db9e3db0"}, + {file = "watchdog-2.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8a214955769d2ef0f7aaa82f31863e3bdf6b083ce1b5f1c2e85cab0f66fba024"}, + {file = "watchdog-2.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4e648df44a4c6ea6da4d9eb6722745c986b9d70268f25ae60f140082d7c8908e"}, + {file = "watchdog-2.3.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:473164a2de473f708ca194a992466eeefff73b58273bbb88e089c5a5a98fcda1"}, + {file = "watchdog-2.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ebe756f788cb130fdc5c150ea8a4fda39cb4ee3a5873a345607c8b84fecf018b"}, + {file = "watchdog-2.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a623de186477e9e05f8461087f856412eae5cd005cc4bcb232ed5c6f9a8709f5"}, + {file = "watchdog-2.3.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:43d76d7888b26850b908208bb82383a193e8b0f25d0abaa84452f191b4acdea4"}, + {file = "watchdog-2.3.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5ddbbe87f9ed726940d174076da030cd01ec45433ef2b1b2e6094c84f2af17f1"}, + {file = "watchdog-2.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3fa1572f5a2f6d17d4d860edbc04488fef31b007c25c2f3b11203fb8179b7c67"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1d9c656495172873bf1ddc7e39e80055fcdd21c4608cf68f23a28116dcba0b43"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:00f93782c67042d9525ec51628330b5faf5fb84bcb7ebaac05ea8528cfb20bba"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_i686.whl", hash = "sha256:f1a655f4a49f9232311b9967f42cc2eaf43fd4903f3bed850dd4570fda5d5eff"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:aa4773160b9cb21ba369cb42d59a947087330b3a02480173033a6a6cc137a510"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:982f5416a2817003172994d865285dd6a2b3836f033cd3fa87d1a62096a162cc"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:45c13e7e6eea1013da419bf9aa9a8f5df7bbf3e5edce40bc6df84130febf39d5"}, + {file = "watchdog-2.3.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:7767a3da3307d9cf597832f692702441a97c259e5d0d560f2e57c43ad0d191d2"}, + {file = "watchdog-2.3.0-py3-none-win32.whl", hash = "sha256:8863913ea2c3f256d18c33d84546518636e391cd8f50d209b9a31221e0f7d3fd"}, + {file = "watchdog-2.3.0-py3-none-win_amd64.whl", hash = "sha256:6d79b5954db8f41d6a7f5763042b988f7a4afd40b7d141456061fa7c5b7f2159"}, + {file = "watchdog-2.3.0-py3-none-win_ia64.whl", hash = "sha256:a3559ee82a10976de1ec544b6ebe3b4aa398d491860a283d80ec0f550076d068"}, + {file = "watchdog-2.3.0.tar.gz", hash = "sha256:9d39effe6909be898ba3e7286a9e9b17a6a9f734fb1ef9dde3e9bb68715fca39"}, +] [package.extras] watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.2.5" +version = "0.2.6" description = "Measures the displayed width of unicode strings in a terminal" category = "main" optional = false python-versions = "*" +files = [ + {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"}, + {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"}, +] + +[[package]] +name = "webcolors" +version = "1.12" +description = "A library for working with color names and color values formats defined by HTML and CSS." +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "webcolors-1.12-py3-none-any.whl", hash = "sha256:d98743d81d498a2d3eaf165196e65481f0d2ea85281463d856b1e51b09f62dce"}, + {file = "webcolors-1.12.tar.gz", hash = "sha256:16d043d3a08fd6a1b1b7e3e9e62640d09790dce80d2bdd4792a175b35fe794a9"}, +] [[package]] name = "webencodings" @@ -2450,27 +6018,118 @@ description = "Character encoding aliases for legacy web content" category = "main" 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 = "1.4.1" +version = "1.5.1" description = "WebSocket client for Python with low level API options" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "websocket-client-1.5.1.tar.gz", hash = "sha256:3f09e6d8230892547132177f575a4e3e73cfdf06526e20cc02aa1c3b47184d40"}, + {file = "websocket_client-1.5.1-py3-none-any.whl", hash = "sha256:cdf5877568b7e83aa7cf2244ab56a3213de587bbe0ce9d8b9600fc77b455d89e"}, +] [package.extras] +docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"] +optional = ["python-socks", "wsaccel"] test = ["websockets"] -optional = ["wsaccel", "python-socks"] -docs = ["sphinx-rtd-theme (>=0.5)", "Sphinx (>=3.4)"] + +[[package]] +name = "websockets" +version = "10.4" +description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "websockets-10.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d58804e996d7d2307173d56c297cf7bc132c52df27a3efaac5e8d43e36c21c48"}, + {file = "websockets-10.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc0b82d728fe21a0d03e65f81980abbbcb13b5387f733a1a870672c5be26edab"}, + {file = "websockets-10.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ba089c499e1f4155d2a3c2a05d2878a3428cf321c848f2b5a45ce55f0d7d310c"}, + {file = "websockets-10.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33d69ca7612f0ddff3316b0c7b33ca180d464ecac2d115805c044bf0a3b0d032"}, + {file = "websockets-10.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62e627f6b6d4aed919a2052efc408da7a545c606268d5ab5bfab4432734b82b4"}, + {file = "websockets-10.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:38ea7b82bfcae927eeffc55d2ffa31665dc7fec7b8dc654506b8e5a518eb4d50"}, + {file = "websockets-10.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e0cb5cc6ece6ffa75baccfd5c02cffe776f3f5c8bf486811f9d3ea3453676ce8"}, + {file = "websockets-10.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ae5e95cfb53ab1da62185e23b3130e11d64431179debac6dc3c6acf08760e9b1"}, + {file = "websockets-10.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7c584f366f46ba667cfa66020344886cf47088e79c9b9d39c84ce9ea98aaa331"}, + {file = "websockets-10.4-cp310-cp310-win32.whl", hash = "sha256:b029fb2032ae4724d8ae8d4f6b363f2cc39e4c7b12454df8df7f0f563ed3e61a"}, + {file = "websockets-10.4-cp310-cp310-win_amd64.whl", hash = "sha256:8dc96f64ae43dde92530775e9cb169979f414dcf5cff670455d81a6823b42089"}, + {file = "websockets-10.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:47a2964021f2110116cc1125b3e6d87ab5ad16dea161949e7244ec583b905bb4"}, + {file = "websockets-10.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e789376b52c295c4946403bd0efecf27ab98f05319df4583d3c48e43c7342c2f"}, + {file = "websockets-10.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7d3f0b61c45c3fa9a349cf484962c559a8a1d80dae6977276df8fd1fa5e3cb8c"}, + {file = "websockets-10.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f55b5905705725af31ccef50e55391621532cd64fbf0bc6f4bac935f0fccec46"}, + {file = "websockets-10.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00c870522cdb69cd625b93f002961ffb0c095394f06ba8c48f17eef7c1541f96"}, + {file = "websockets-10.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f38706e0b15d3c20ef6259fd4bc1700cd133b06c3c1bb108ffe3f8947be15fa"}, + {file = "websockets-10.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f2c38d588887a609191d30e902df2a32711f708abfd85d318ca9b367258cfd0c"}, + {file = "websockets-10.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:fe10ddc59b304cb19a1bdf5bd0a7719cbbc9fbdd57ac80ed436b709fcf889106"}, + {file = "websockets-10.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:90fcf8929836d4a0e964d799a58823547df5a5e9afa83081761630553be731f9"}, + {file = "websockets-10.4-cp311-cp311-win32.whl", hash = "sha256:b9968694c5f467bf67ef97ae7ad4d56d14be2751000c1207d31bf3bb8860bae8"}, + {file = "websockets-10.4-cp311-cp311-win_amd64.whl", hash = "sha256:a7a240d7a74bf8d5cb3bfe6be7f21697a28ec4b1a437607bae08ac7acf5b4882"}, + {file = "websockets-10.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:74de2b894b47f1d21cbd0b37a5e2b2392ad95d17ae983e64727e18eb281fe7cb"}, + {file = "websockets-10.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3a686ecb4aa0d64ae60c9c9f1a7d5d46cab9bfb5d91a2d303d00e2cd4c4c5cc"}, + {file = "websockets-10.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0d15c968ea7a65211e084f523151dbf8ae44634de03c801b8bd070b74e85033"}, + {file = "websockets-10.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00213676a2e46b6ebf6045bc11d0f529d9120baa6f58d122b4021ad92adabd41"}, + {file = "websockets-10.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:e23173580d740bf8822fd0379e4bf30aa1d5a92a4f252d34e893070c081050df"}, + {file = "websockets-10.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:dd500e0a5e11969cdd3320935ca2ff1e936f2358f9c2e61f100a1660933320ea"}, + {file = "websockets-10.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:4239b6027e3d66a89446908ff3027d2737afc1a375f8fd3eea630a4842ec9a0c"}, + {file = "websockets-10.4-cp37-cp37m-win32.whl", hash = "sha256:8a5cc00546e0a701da4639aa0bbcb0ae2bb678c87f46da01ac2d789e1f2d2038"}, + {file = "websockets-10.4-cp37-cp37m-win_amd64.whl", hash = "sha256:a9f9a735deaf9a0cadc2d8c50d1a5bcdbae8b6e539c6e08237bc4082d7c13f28"}, + {file = "websockets-10.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5c1289596042fad2cdceb05e1ebf7aadf9995c928e0da2b7a4e99494953b1b94"}, + {file = "websockets-10.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0cff816f51fb33c26d6e2b16b5c7d48eaa31dae5488ace6aae468b361f422b63"}, + {file = "websockets-10.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:dd9becd5fe29773d140d68d607d66a38f60e31b86df75332703757ee645b6faf"}, + {file = "websockets-10.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45ec8e75b7dbc9539cbfafa570742fe4f676eb8b0d3694b67dabe2f2ceed8aa6"}, + {file = "websockets-10.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f72e5cd0f18f262f5da20efa9e241699e0cf3a766317a17392550c9ad7b37d8"}, + {file = "websockets-10.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:185929b4808b36a79c65b7865783b87b6841e852ef5407a2fb0c03381092fa3b"}, + {file = "websockets-10.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7d27a7e34c313b3a7f91adcd05134315002aaf8540d7b4f90336beafaea6217c"}, + {file = "websockets-10.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:884be66c76a444c59f801ac13f40c76f176f1bfa815ef5b8ed44321e74f1600b"}, + {file = "websockets-10.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:931c039af54fc195fe6ad536fde4b0de04da9d5916e78e55405436348cfb0e56"}, + {file = "websockets-10.4-cp38-cp38-win32.whl", hash = "sha256:db3c336f9eda2532ec0fd8ea49fef7a8df8f6c804cdf4f39e5c5c0d4a4ad9a7a"}, + {file = "websockets-10.4-cp38-cp38-win_amd64.whl", hash = "sha256:48c08473563323f9c9debac781ecf66f94ad5a3680a38fe84dee5388cf5acaf6"}, + {file = "websockets-10.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:40e826de3085721dabc7cf9bfd41682dadc02286d8cf149b3ad05bff89311e4f"}, + {file = "websockets-10.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:56029457f219ade1f2fc12a6504ea61e14ee227a815531f9738e41203a429112"}, + {file = "websockets-10.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f5fc088b7a32f244c519a048c170f14cf2251b849ef0e20cbbb0fdf0fdaf556f"}, + {file = "websockets-10.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2fc8709c00704194213d45e455adc106ff9e87658297f72d544220e32029cd3d"}, + {file = "websockets-10.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0154f7691e4fe6c2b2bc275b5701e8b158dae92a1ab229e2b940efe11905dff4"}, + {file = "websockets-10.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c6d2264f485f0b53adf22697ac11e261ce84805c232ed5dbe6b1bcb84b00ff0"}, + {file = "websockets-10.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9bc42e8402dc5e9905fb8b9649f57efcb2056693b7e88faa8fb029256ba9c68c"}, + {file = "websockets-10.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:edc344de4dac1d89300a053ac973299e82d3db56330f3494905643bb68801269"}, + {file = "websockets-10.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:84bc2a7d075f32f6ed98652db3a680a17a4edb21ca7f80fe42e38753a58ee02b"}, + {file = "websockets-10.4-cp39-cp39-win32.whl", hash = "sha256:c94ae4faf2d09f7c81847c63843f84fe47bf6253c9d60b20f25edfd30fb12588"}, + {file = "websockets-10.4-cp39-cp39-win_amd64.whl", hash = "sha256:bbccd847aa0c3a69b5f691a84d2341a4f8a629c6922558f2a70611305f902d74"}, + {file = "websockets-10.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:82ff5e1cae4e855147fd57a2863376ed7454134c2bf49ec604dfe71e446e2193"}, + {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d210abe51b5da0ffdbf7b43eed0cfdff8a55a1ab17abbec4301c9ff077dd0342"}, + {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:942de28af58f352a6f588bc72490ae0f4ccd6dfc2bd3de5945b882a078e4e179"}, + {file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9b27d6c1c6cd53dc93614967e9ce00ae7f864a2d9f99fe5ed86706e1ecbf485"}, + {file = "websockets-10.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:3d3cac3e32b2c8414f4f87c1b2ab686fa6284a980ba283617404377cd448f631"}, + {file = "websockets-10.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:da39dd03d130162deb63da51f6e66ed73032ae62e74aaccc4236e30edccddbb0"}, + {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389f8dbb5c489e305fb113ca1b6bdcdaa130923f77485db5b189de343a179393"}, + {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09a1814bb15eff7069e51fed0826df0bc0702652b5cb8f87697d469d79c23576"}, + {file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff64a1d38d156d429404aaa84b27305e957fd10c30e5880d1765c9480bea490f"}, + {file = "websockets-10.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b343f521b047493dc4022dd338fc6db9d9282658862756b4f6fd0e996c1380e1"}, + {file = "websockets-10.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:932af322458da7e4e35df32f050389e13d3d96b09d274b22a7aa1808f292fee4"}, + {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a4162139374a49eb18ef5b2f4da1dd95c994588f5033d64e0bbfda4b6b6fcf"}, + {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c57e4c1349fbe0e446c9fa7b19ed2f8a4417233b6984277cce392819123142d3"}, + {file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b627c266f295de9dea86bd1112ed3d5fafb69a348af30a2422e16590a8ecba13"}, + {file = "websockets-10.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:05a7233089f8bd355e8cbe127c2e8ca0b4ea55467861906b80d2ebc7db4d6b72"}, + {file = "websockets-10.4.tar.gz", hash = "sha256:eef610b23933c54d5d921c92578ae5f89813438fded840c2e9809d378dc765d3"}, +] [[package]] name = "werkzeug" -version = "2.2.2" +version = "2.2.3" description = "The comprehensive WSGI web application library." category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "Werkzeug-2.2.3-py3-none-any.whl", hash = "sha256:56433961bc1f12533306c624f3be5e744389ac61d722175d543e1751285da612"}, + {file = "Werkzeug-2.2.3.tar.gz", hash = "sha256:2e1ccc9417d4da358b9de6f174e3ac094391ea1d4fbef2d667865d819dfd0afe"}, +] [package.dependencies] MarkupSafe = ">=2.1.1" @@ -2478,13 +6137,32 @@ MarkupSafe = ">=2.1.1" [package.extras] watchdog = ["watchdog"] +[[package]] +name = "wheel" +version = "0.38.4" +description = "A built-package format for Python" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "wheel-0.38.4-py3-none-any.whl", hash = "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"}, + {file = "wheel-0.38.4.tar.gz", hash = "sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac"}, +] + +[package.extras] +test = ["pytest (>=3.0.0)"] + [[package]] name = "widgetsnbextension" -version = "4.0.3" +version = "4.0.5" description = "Jupyter interactive widgets for Jupyter Notebook" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "widgetsnbextension-4.0.5-py3-none-any.whl", hash = "sha256:eaaaf434fb9b08bd197b2a14ffe45ddb5ac3897593d43c69287091e5f3147bf7"}, + {file = "widgetsnbextension-4.0.5.tar.gz", hash = "sha256:003f716d930d385be3fd9de42dd9bf008e30053f73bddde235d14fbeaeff19af"}, +] [[package]] name = "wrapt" @@ -2493,623 +6171,203 @@ description = "Module for decorators, wrappers and monkey patching." category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" +files = [ + {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"}, + {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef"}, + {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28"}, + {file = "wrapt-1.14.1-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59"}, + {file = "wrapt-1.14.1-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87"}, + {file = "wrapt-1.14.1-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1"}, + {file = "wrapt-1.14.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b"}, + {file = "wrapt-1.14.1-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462"}, + {file = "wrapt-1.14.1-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1"}, + {file = "wrapt-1.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320"}, + {file = "wrapt-1.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2"}, + {file = "wrapt-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4"}, + {file = "wrapt-1.14.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069"}, + {file = "wrapt-1.14.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310"}, + {file = "wrapt-1.14.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f"}, + {file = "wrapt-1.14.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656"}, + {file = "wrapt-1.14.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c"}, + {file = "wrapt-1.14.1-cp310-cp310-win32.whl", hash = "sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8"}, + {file = "wrapt-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164"}, + {file = "wrapt-1.14.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907"}, + {file = "wrapt-1.14.1-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3"}, + {file = "wrapt-1.14.1-cp35-cp35m-manylinux2010_i686.whl", hash = "sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3"}, + {file = "wrapt-1.14.1-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d"}, + {file = "wrapt-1.14.1-cp35-cp35m-win32.whl", hash = "sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7"}, + {file = "wrapt-1.14.1-cp35-cp35m-win_amd64.whl", hash = "sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00"}, + {file = "wrapt-1.14.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4"}, + {file = "wrapt-1.14.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1"}, + {file = "wrapt-1.14.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1"}, + {file = "wrapt-1.14.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff"}, + {file = "wrapt-1.14.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d"}, + {file = "wrapt-1.14.1-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1"}, + {file = "wrapt-1.14.1-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569"}, + {file = "wrapt-1.14.1-cp36-cp36m-win32.whl", hash = "sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed"}, + {file = "wrapt-1.14.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471"}, + {file = "wrapt-1.14.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248"}, + {file = "wrapt-1.14.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68"}, + {file = "wrapt-1.14.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d"}, + {file = "wrapt-1.14.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77"}, + {file = "wrapt-1.14.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7"}, + {file = "wrapt-1.14.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015"}, + {file = "wrapt-1.14.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a"}, + {file = "wrapt-1.14.1-cp37-cp37m-win32.whl", hash = "sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853"}, + {file = "wrapt-1.14.1-cp37-cp37m-win_amd64.whl", hash = "sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c"}, + {file = "wrapt-1.14.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456"}, + {file = "wrapt-1.14.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f"}, + {file = "wrapt-1.14.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc"}, + {file = "wrapt-1.14.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1"}, + {file = "wrapt-1.14.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af"}, + {file = "wrapt-1.14.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b"}, + {file = "wrapt-1.14.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0"}, + {file = "wrapt-1.14.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57"}, + {file = "wrapt-1.14.1-cp38-cp38-win32.whl", hash = "sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5"}, + {file = "wrapt-1.14.1-cp38-cp38-win_amd64.whl", hash = "sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d"}, + {file = "wrapt-1.14.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383"}, + {file = "wrapt-1.14.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7"}, + {file = "wrapt-1.14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86"}, + {file = "wrapt-1.14.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735"}, + {file = "wrapt-1.14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b"}, + {file = "wrapt-1.14.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3"}, + {file = "wrapt-1.14.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3"}, + {file = "wrapt-1.14.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe"}, + {file = "wrapt-1.14.1-cp39-cp39-win32.whl", hash = "sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5"}, + {file = "wrapt-1.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb"}, + {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"}, +] + +[[package]] +name = "xarray" +version = "2023.1.0" +description = "N-D labeled arrays and datasets in Python" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "xarray-2023.1.0-py3-none-any.whl", hash = "sha256:7e530b1deafdd43e5c2b577d0944e6b528fbe88045fd849e49a8d11871ecd522"}, + {file = "xarray-2023.1.0.tar.gz", hash = "sha256:7bee552751ff1b29dab8b7715726e5ecb56691ac54593cf4881dff41978ce0cd"}, +] + +[package.dependencies] +numpy = ">=1.20" +packaging = ">=21.3" +pandas = ">=1.3" + +[package.extras] +accel = ["bottleneck", "flox", "numbagg", "scipy"] +complete = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "matplotlib", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scipy", "seaborn", "zarr"] +docs = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "ipykernel", "ipython", "jupyter-client", "matplotlib", "nbsphinx", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scanpydoc", "scipy", "seaborn", "sphinx-autosummary-accessors", "sphinx-rtd-theme", "zarr"] +io = ["cfgrib", "cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "rasterio", "scipy", "zarr"] +parallel = ["dask[complete]"] +viz = ["matplotlib", "nc-time-axis", "seaborn"] + +[[package]] +name = "yarl" +version = "1.8.2" +description = "Yet another URL library" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "yarl-1.8.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:bb81f753c815f6b8e2ddd2eef3c855cf7da193b82396ac013c661aaa6cc6b0a5"}, + {file = "yarl-1.8.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:47d49ac96156f0928f002e2424299b2c91d9db73e08c4cd6742923a086f1c863"}, + {file = "yarl-1.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3fc056e35fa6fba63248d93ff6e672c096f95f7836938241ebc8260e062832fe"}, + {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58a3c13d1c3005dbbac5c9f0d3210b60220a65a999b1833aa46bd6677c69b08e"}, + {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:10b08293cda921157f1e7c2790999d903b3fd28cd5c208cf8826b3b508026996"}, + {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de986979bbd87272fe557e0a8fcb66fd40ae2ddfe28a8b1ce4eae22681728fef"}, + {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c4fcfa71e2c6a3cb568cf81aadc12768b9995323186a10827beccf5fa23d4f8"}, + {file = "yarl-1.8.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae4d7ff1049f36accde9e1ef7301912a751e5bae0a9d142459646114c70ecba6"}, + {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bf071f797aec5b96abfc735ab97da9fd8f8768b43ce2abd85356a3127909d146"}, + {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:74dece2bfc60f0f70907c34b857ee98f2c6dd0f75185db133770cd67300d505f"}, + {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:df60a94d332158b444301c7f569659c926168e4d4aad2cfbf4bce0e8fb8be826"}, + {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:63243b21c6e28ec2375f932a10ce7eda65139b5b854c0f6b82ed945ba526bff3"}, + {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cfa2bbca929aa742b5084fd4663dd4b87c191c844326fcb21c3afd2d11497f80"}, + {file = "yarl-1.8.2-cp310-cp310-win32.whl", hash = "sha256:b05df9ea7496df11b710081bd90ecc3a3db6adb4fee36f6a411e7bc91a18aa42"}, + {file = "yarl-1.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:24ad1d10c9db1953291f56b5fe76203977f1ed05f82d09ec97acb623a7976574"}, + {file = "yarl-1.8.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2a1fca9588f360036242f379bfea2b8b44cae2721859b1c56d033adfd5893634"}, + {file = "yarl-1.8.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f37db05c6051eff17bc832914fe46869f8849de5b92dc4a3466cd63095d23dfd"}, + {file = "yarl-1.8.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:77e913b846a6b9c5f767b14dc1e759e5aff05502fe73079f6f4176359d832581"}, + {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0978f29222e649c351b173da2b9b4665ad1feb8d1daa9d971eb90df08702668a"}, + {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:388a45dc77198b2460eac0aca1efd6a7c09e976ee768b0d5109173e521a19daf"}, + {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2305517e332a862ef75be8fad3606ea10108662bc6fe08509d5ca99503ac2aee"}, + {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42430ff511571940d51e75cf42f1e4dbdded477e71c1b7a17f4da76c1da8ea76"}, + {file = "yarl-1.8.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3150078118f62371375e1e69b13b48288e44f6691c1069340081c3fd12c94d5b"}, + {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c15163b6125db87c8f53c98baa5e785782078fbd2dbeaa04c6141935eb6dab7a"}, + {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4d04acba75c72e6eb90745447d69f84e6c9056390f7a9724605ca9c56b4afcc6"}, + {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e7fd20d6576c10306dea2d6a5765f46f0ac5d6f53436217913e952d19237efc4"}, + {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:75c16b2a900b3536dfc7014905a128a2bea8fb01f9ee26d2d7d8db0a08e7cb2c"}, + {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6d88056a04860a98341a0cf53e950e3ac9f4e51d1b6f61a53b0609df342cc8b2"}, + {file = "yarl-1.8.2-cp311-cp311-win32.whl", hash = "sha256:fb742dcdd5eec9f26b61224c23baea46c9055cf16f62475e11b9b15dfd5c117b"}, + {file = "yarl-1.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:8c46d3d89902c393a1d1e243ac847e0442d0196bbd81aecc94fcebbc2fd5857c"}, + {file = "yarl-1.8.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ceff9722e0df2e0a9e8a79c610842004fa54e5b309fe6d218e47cd52f791d7ef"}, + {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f6b4aca43b602ba0f1459de647af954769919c4714706be36af670a5f44c9c1"}, + {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1684a9bd9077e922300ecd48003ddae7a7474e0412bea38d4631443a91d61077"}, + {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ebb78745273e51b9832ef90c0898501006670d6e059f2cdb0e999494eb1450c2"}, + {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3adeef150d528ded2a8e734ebf9ae2e658f4c49bf413f5f157a470e17a4a2e89"}, + {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57a7c87927a468e5a1dc60c17caf9597161d66457a34273ab1760219953f7f4c"}, + {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:efff27bd8cbe1f9bd127e7894942ccc20c857aa8b5a0327874f30201e5ce83d0"}, + {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:a783cd344113cb88c5ff7ca32f1f16532a6f2142185147822187913eb989f739"}, + {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:705227dccbe96ab02c7cb2c43e1228e2826e7ead880bb19ec94ef279e9555b5b"}, + {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:34c09b43bd538bf6c4b891ecce94b6fa4f1f10663a8d4ca589a079a5018f6ed7"}, + {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a48f4f7fea9a51098b02209d90297ac324241bf37ff6be6d2b0149ab2bd51b37"}, + {file = "yarl-1.8.2-cp37-cp37m-win32.whl", hash = "sha256:0414fd91ce0b763d4eadb4456795b307a71524dbacd015c657bb2a39db2eab89"}, + {file = "yarl-1.8.2-cp37-cp37m-win_amd64.whl", hash = "sha256:d881d152ae0007809c2c02e22aa534e702f12071e6b285e90945aa3c376463c5"}, + {file = "yarl-1.8.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5df5e3d04101c1e5c3b1d69710b0574171cc02fddc4b23d1b2813e75f35a30b1"}, + {file = "yarl-1.8.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7a66c506ec67eb3159eea5096acd05f5e788ceec7b96087d30c7d2865a243918"}, + {file = "yarl-1.8.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2b4fa2606adf392051d990c3b3877d768771adc3faf2e117b9de7eb977741229"}, + {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e21fb44e1eff06dd6ef971d4bdc611807d6bd3691223d9c01a18cec3677939e"}, + {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93202666046d9edadfe9f2e7bf5e0782ea0d497b6d63da322e541665d65a044e"}, + {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fc77086ce244453e074e445104f0ecb27530d6fd3a46698e33f6c38951d5a0f1"}, + {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64dd68a92cab699a233641f5929a40f02a4ede8c009068ca8aa1fe87b8c20ae3"}, + {file = "yarl-1.8.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1b372aad2b5f81db66ee7ec085cbad72c4da660d994e8e590c997e9b01e44901"}, + {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e6f3515aafe0209dd17fb9bdd3b4e892963370b3de781f53e1746a521fb39fc0"}, + {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:dfef7350ee369197106805e193d420b75467b6cceac646ea5ed3049fcc950a05"}, + {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:728be34f70a190566d20aa13dc1f01dc44b6aa74580e10a3fb159691bc76909d"}, + {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:ff205b58dc2929191f68162633d5e10e8044398d7a45265f90a0f1d51f85f72c"}, + {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:baf211dcad448a87a0d9047dc8282d7de59473ade7d7fdf22150b1d23859f946"}, + {file = "yarl-1.8.2-cp38-cp38-win32.whl", hash = "sha256:272b4f1599f1b621bf2aabe4e5b54f39a933971f4e7c9aa311d6d7dc06965165"}, + {file = "yarl-1.8.2-cp38-cp38-win_amd64.whl", hash = "sha256:326dd1d3caf910cd26a26ccbfb84c03b608ba32499b5d6eeb09252c920bcbe4f"}, + {file = "yarl-1.8.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f8ca8ad414c85bbc50f49c0a106f951613dfa5f948ab69c10ce9b128d368baf8"}, + {file = "yarl-1.8.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:418857f837347e8aaef682679f41e36c24250097f9e2f315d39bae3a99a34cbf"}, + {file = "yarl-1.8.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ae0eec05ab49e91a78700761777f284c2df119376e391db42c38ab46fd662b77"}, + {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:009a028127e0a1755c38b03244c0bea9d5565630db9c4cf9572496e947137a87"}, + {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3edac5d74bb3209c418805bda77f973117836e1de7c000e9755e572c1f7850d0"}, + {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da65c3f263729e47351261351b8679c6429151ef9649bba08ef2528ff2c423b2"}, + {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ef8fb25e52663a1c85d608f6dd72e19bd390e2ecaf29c17fb08f730226e3a08"}, + {file = "yarl-1.8.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bcd7bb1e5c45274af9a1dd7494d3c52b2be5e6bd8d7e49c612705fd45420b12d"}, + {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:44ceac0450e648de86da8e42674f9b7077d763ea80c8ceb9d1c3e41f0f0a9951"}, + {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:97209cc91189b48e7cfe777237c04af8e7cc51eb369004e061809bcdf4e55220"}, + {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:48dd18adcf98ea9cd721a25313aef49d70d413a999d7d89df44f469edfb38a06"}, + {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:e59399dda559688461762800d7fb34d9e8a6a7444fd76ec33220a926c8be1516"}, + {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d617c241c8c3ad5c4e78a08429fa49e4b04bedfc507b34b4d8dceb83b4af3588"}, + {file = "yarl-1.8.2-cp39-cp39-win32.whl", hash = "sha256:cb6d48d80a41f68de41212f3dfd1a9d9898d7841c8f7ce6696cf2fd9cb57ef83"}, + {file = "yarl-1.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:6604711362f2dbf7160df21c416f81fac0de6dbcf0b5445a2ef25478ecc4c778"}, + {file = "yarl-1.8.2.tar.gz", hash = "sha256:49d43402c6e3013ad0978602bf6bf5328535c48d192304b91b97a3c6790b1562"}, +] + +[package.dependencies] +idna = ">=2.0" +multidict = ">=4.0" [[package]] name = "zipp" -version = "3.9.0" +version = "3.15.0" description = "Backport of pathlib-compatible object wrapper for zip files" category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"}, + {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"}, +] [package.extras] -docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"] -testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] [metadata] -lock-version = "1.1" -python-versions = ">=3.8,<3.9.7 || >3.9.7,<3.10" -content-hash = "92511ae0c04a6d0a3a6a791c312d03b0d0e6d540bbb7367c40deffc380f770b9" - -[metadata.files] -absl-py = [] -altair = [ - {file = "altair-4.2.0-py3-none-any.whl", hash = "sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a"}, - {file = "altair-4.2.0.tar.gz", hash = "sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026"}, -] -anyio = [] -appdirs = [] -appnope = [ - {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, - {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, -] -argon2-cffi = [ - {file = "argon2-cffi-21.3.0.tar.gz", hash = "sha256:d384164d944190a7dd7ef22c6aa3ff197da12962bd04b17f64d4e93d934dba5b"}, - {file = "argon2_cffi-21.3.0-py3-none-any.whl", hash = "sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80"}, -] -argon2-cffi-bindings = [ - {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"}, -] -asttokens = [] -astunparse = [ - {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"}, - {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"}, -] -attrs = [] -backcall = [ - {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"}, - {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"}, -] -"backports.zoneinfo" = [ - {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"}, - {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"}, - {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:1c5742112073a563c81f786e77514969acb58649bcdf6cdf0b4ed31a348d4546"}, - {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win32.whl", hash = "sha256:e8236383a20872c0cdf5a62b554b27538db7fa1bbec52429d8d106effbaeca08"}, - {file = "backports.zoneinfo-0.2.1-cp36-cp36m-win_amd64.whl", hash = "sha256:8439c030a11780786a2002261569bdf362264f605dfa4d65090b64b05c9f79a7"}, - {file = "backports.zoneinfo-0.2.1-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:f04e857b59d9d1ccc39ce2da1021d196e47234873820cbeaad210724b1ee28ac"}, - {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:17746bd546106fa389c51dbea67c8b7c8f0d14b5526a579ca6ccf5ed72c526cf"}, - {file = "backports.zoneinfo-0.2.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:5c144945a7752ca544b4b78c8c41544cdfaf9786f25fe5ffb10e838e19a27570"}, - {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win32.whl", hash = "sha256:e55b384612d93be96506932a786bbcde5a2db7a9e6a4bb4bffe8b733f5b9036b"}, - {file = "backports.zoneinfo-0.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:a76b38c52400b762e48131494ba26be363491ac4f9a04c1b7e92483d169f6582"}, - {file = "backports.zoneinfo-0.2.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:8961c0f32cd0336fb8e8ead11a1f8cd99ec07145ec2931122faaac1c8f7fd987"}, - {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e81b76cace8eda1fca50e345242ba977f9be6ae3945af8d46326d776b4cf78d1"}, - {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7b0a64cda4145548fed9efc10322770f929b944ce5cee6c0dfe0c87bf4c0c8c9"}, - {file = "backports.zoneinfo-0.2.1-cp38-cp38-win32.whl", hash = "sha256:1b13e654a55cd45672cb54ed12148cd33628f672548f373963b0bff67b217328"}, - {file = "backports.zoneinfo-0.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:4a0f800587060bf8880f954dbef70de6c11bbe59c673c3d818921f042f9954a6"}, - {file = "backports.zoneinfo-0.2.1.tar.gz", hash = "sha256:fadbfe37f74051d024037f223b8e001611eac868b5c5b06144ef4d8b799862f2"}, -] -beautifulsoup4 = [ - {file = "beautifulsoup4-4.11.1-py3-none-any.whl", hash = "sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30"}, - {file = "beautifulsoup4-4.11.1.tar.gz", hash = "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"}, -] -bleach = [] -blinker = [] -cachetools = [] -certifi = [] -cffi = [] -chardet = [] -charset-normalizer = [] -click = [] -colorama = [] -commonmark = [] -contourpy = [] -cycler = [ - {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"}, - {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"}, -] -debugpy = [] -decorator = [ - {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, - {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, -] -deepface = [ - {file = "deepface-0.0.68-py3-none-any.whl", hash = "sha256:38fca358bd48f40ddc8cebafbfe4eb531e12b56cd3fc135dbc3173c10ad40504"}, - {file = "deepface-0.0.68.tar.gz", hash = "sha256:c7172c78cc549801e726b7cc684ef8931f482640ab4cb1ddfaf9f7e1325576f4"}, -] -defusedxml = [ - {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, - {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, -] -entrypoints = [ - {file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"}, - {file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"}, -] -et-xmlfile = [ - {file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"}, - {file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"}, -] -executing = [] -fastjsonschema = [] -filelock = [] -flask = [] -flatbuffers = [] -fonttools = [] -ftfy = [ - {file = "ftfy-6.1.1-py3-none-any.whl", hash = "sha256:0ffd33fce16b54cccaec78d6ec73d95ad370e5df5a25255c8966a6147bd667ca"}, - {file = "ftfy-6.1.1.tar.gz", hash = "sha256:bfc2019f84fcd851419152320a6375604a0f1459c281b5b199b2cd0d2e727f8f"}, -] -gast = [ - {file = "gast-0.4.0-py3-none-any.whl", hash = "sha256:b7adcdd5adbebf1adf17378da5ba3f543684dbec47b1cda1f3997e573cd542c4"}, - {file = "gast-0.4.0.tar.gz", hash = "sha256:40feb7b8b8434785585ab224d1568b857edb18297e5a3047f1ba012bc83b42c1"}, -] -gdown = [] -ghp-import = [] -gitdb = [ - {file = "gitdb-4.0.9-py3-none-any.whl", hash = "sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd"}, - {file = "gitdb-4.0.9.tar.gz", hash = "sha256:bac2fd45c0a1c9cf619e63a90d62bdc63892ef92387424b855792a6cabe789aa"}, -] -gitpython = [] -google-auth = [] -google-auth-oauthlib = [ - {file = "google-auth-oauthlib-0.4.6.tar.gz", hash = "sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"}, - {file = "google_auth_oauthlib-0.4.6-py2.py3-none-any.whl", hash = "sha256:3f2a6e802eebbb6fb736a370fbf3b055edcb6b52878bf2f26330b5e041316c73"}, -] -google-pasta = [ - {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"}, - {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"}, - {file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"}, -] -grpcio = [] -h5py = [] -huggingface-hub = [] -idna = [] -importlib-metadata = [] -importlib-resources = [] -ipykernel = [] -ipython = [] -ipython-genutils = [ - {file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"}, - {file = "ipython_genutils-0.2.0.tar.gz", hash = "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"}, -] -ipywidgets = [] -itsdangerous = [ - {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"}, - {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"}, -] -jedi = [ - {file = "jedi-0.18.1-py2.py3-none-any.whl", hash = "sha256:637c9635fcf47945ceb91cd7f320234a7be540ded6f3e99a50cb6febdfd1ba8d"}, - {file = "jedi-0.18.1.tar.gz", hash = "sha256:74137626a64a99c8eb6ae5832d99b3bdd7d29a3850fe2aa80a4126b2a7d949ab"}, -] -jinja2 = [] -joblib = [] -jsonschema = [] -jupyter = [ - {file = "jupyter-1.0.0-py2.py3-none-any.whl", hash = "sha256:5b290f93b98ffbc21c0c7e749f054b3267782166d72fa5e3ed1ed4eaf34a2b78"}, - {file = "jupyter-1.0.0.tar.gz", hash = "sha256:d9dc4b3318f310e34c82951ea5d6683f67bed7def4b259fafbfe4f1beb1d8e5f"}, - {file = "jupyter-1.0.0.zip", hash = "sha256:3e1f86076bbb7c8c207829390305a2b1fe836d471ed54be66a3b8c41e7f46cc7"}, -] -jupyter-client = [] -jupyter-console = [] -jupyter-core = [] -jupyter-server = [] -jupyterlab-pygments = [ - {file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"}, - {file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"}, -] -jupyterlab-widgets = [] -keras = [] -keras-preprocessing = [ - {file = "Keras_Preprocessing-1.1.2-py2.py3-none-any.whl", hash = "sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b"}, - {file = "Keras_Preprocessing-1.1.2.tar.gz", hash = "sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"}, -] -kiwisolver = [] -libclang = [] -llvmlite = [] -lxml = [] -markdown = [] -markupsafe = [ - {file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:86b1f75c4e7c2ac2ccdaec2b9022845dbb81880ca318bb7a0a01fbf7813e3812"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f121a1420d4e173a5d96e47e9a0c0dcff965afdf1626d28de1460815f7c4ee7a"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a49907dd8420c5685cfa064a1335b6754b74541bbb3706c259c02ed65b644b3e"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10c1bfff05d95783da83491be968e8fe789263689c02724e0c691933c52994f5"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7bd98b796e2b6553da7225aeb61f447f80a1ca64f41d83612e6139ca5213aa4"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b09bf97215625a311f669476f44b8b318b075847b49316d3e28c08e41a7a573f"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:694deca8d702d5db21ec83983ce0bb4b26a578e71fbdbd4fdcd387daa90e4d5e"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:efc1913fd2ca4f334418481c7e595c00aad186563bbc1ec76067848c7ca0a933"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-win32.whl", hash = "sha256:4a33dea2b688b3190ee12bd7cfa29d39c9ed176bda40bfa11099a3ce5d3a7ac6"}, - {file = "MarkupSafe-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:dda30ba7e87fbbb7eab1ec9f58678558fd9a6b8b853530e176eabd064da81417"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:671cd1187ed5e62818414afe79ed29da836dde67166a9fac6d435873c44fdd02"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3799351e2336dc91ea70b034983ee71cf2f9533cdff7c14c90ea126bfd95d65a"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e72591e9ecd94d7feb70c1cbd7be7b3ebea3f548870aa91e2732960fa4d57a37"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6fbf47b5d3728c6aea2abb0589b5d30459e369baa772e0f37a0320185e87c980"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d5ee4f386140395a2c818d149221149c54849dfcfcb9f1debfe07a8b8bd63f9a"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:bcb3ed405ed3222f9904899563d6fc492ff75cce56cba05e32eff40e6acbeaa3"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:e1c0b87e09fa55a220f058d1d49d3fb8df88fbfab58558f1198e08c1e1de842a"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-win32.whl", hash = "sha256:8dc1c72a69aa7e082593c4a203dcf94ddb74bb5c8a731e4e1eb68d031e8498ff"}, - {file = "MarkupSafe-2.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:97a68e6ada378df82bc9f16b800ab77cbf4b2fada0081794318520138c088e4a"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e8c843bbcda3a2f1e3c2ab25913c80a3c5376cd00c6e8c4a86a89a28c8dc5452"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0212a68688482dc52b2d45013df70d169f542b7394fc744c02a57374a4207003"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e576a51ad59e4bfaac456023a78f6b5e6e7651dcd383bcc3e18d06f9b55d6d1"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b9fe39a2ccc108a4accc2676e77da025ce383c108593d65cc909add5c3bd601"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:96e37a3dc86e80bf81758c152fe66dbf60ed5eca3d26305edf01892257049925"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6d0072fea50feec76a4c418096652f2c3238eaa014b2f94aeb1d56a66b41403f"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:089cf3dbf0cd6c100f02945abeb18484bd1ee57a079aefd52cffd17fba910b88"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6a074d34ee7a5ce3effbc526b7083ec9731bb3cbf921bbe1d3005d4d2bdb3a63"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-win32.whl", hash = "sha256:421be9fbf0ffe9ffd7a378aafebbf6f4602d564d34be190fc19a193232fd12b1"}, - {file = "MarkupSafe-2.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:fc7b548b17d238737688817ab67deebb30e8073c95749d55538ed473130ec0c7"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e04e26803c9c3851c931eac40c695602c6295b8d432cbe78609649ad9bd2da8a"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b87db4360013327109564f0e591bd2a3b318547bcef31b468a92ee504d07ae4f"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:99a2a507ed3ac881b975a2976d59f38c19386d128e7a9a18b7df6fff1fd4c1d6"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56442863ed2b06d19c37f94d999035e15ee982988920e12a5b4ba29b62ad1f77"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3ce11ee3f23f79dbd06fb3d63e2f6af7b12db1d46932fe7bd8afa259a5996603"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:33b74d289bd2f5e527beadcaa3f401e0df0a89927c1559c8566c066fa4248ab7"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:43093fb83d8343aac0b1baa75516da6092f58f41200907ef92448ecab8825135"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8e3dcf21f367459434c18e71b2a9532d96547aef8a871872a5bd69a715c15f96"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-win32.whl", hash = "sha256:d4306c36ca495956b6d568d276ac11fdd9c30a36f1b6eb928070dc5360b22e1c"}, - {file = "MarkupSafe-2.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:46d00d6cfecdde84d40e572d63735ef81423ad31184100411e6e3388d405e247"}, - {file = "MarkupSafe-2.1.1.tar.gz", hash = "sha256:7f91197cc9e48f989d12e4e6fbc46495c446636dfc81b9ccf50bb0ec74b91d4b"}, -] -matplotlib = [] -matplotlib-inline = [] -mediapipe = [] -mergedeep = [ - {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"}, - {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"}, -] -mistune = [] -mkdocs = [] -mtcnn = [ - {file = "mtcnn-0.1.1-py3-none-any.whl", hash = "sha256:fd69d2f4dd10647dd7481a53b9586e805f35a17c61ac78ba472a7f53766eb86e"}, - {file = "mtcnn-0.1.1.tar.gz", hash = "sha256:d0957274584be62cb83d4a089041f8ee3cf3b1893e45f01ed3356f94a381302b"}, -] -nbclassic = [] -nbclient = [] -nbconvert = [] -nbformat = [] -nest-asyncio = [] -notebook = [] -notebook-shim = [] -numba = [] -numpy = [] -oauthlib = [] -opencv-contrib-python = [] -opencv-python = [] -openpyxl = [ - {file = "openpyxl-3.0.10-py2.py3-none-any.whl", hash = "sha256:0ab6d25d01799f97a9464630abacbb34aafecdcaa0ef3cba6d6b3499867d0355"}, - {file = "openpyxl-3.0.10.tar.gz", hash = "sha256:e47805627aebcf860edb4edf7987b1309c1b3632f3750538ed962bbcc3bd7449"}, -] -opt-einsum = [ - {file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"}, - {file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"}, -] -packaging = [ - {file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"}, - {file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"}, -] -pandas = [] -pandocfilters = [ - {file = "pandocfilters-1.5.0-py2.py3-none-any.whl", hash = "sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f"}, - {file = "pandocfilters-1.5.0.tar.gz", hash = "sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38"}, -] -parso = [ - {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"}, - {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"}, -] -pexpect = [ - {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"}, - {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"}, -] -pickleshare = [ - {file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"}, - {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"}, -] -pillow = [] -pkgutil-resolve-name = [] -plotly = [] -prometheus-client = [] -prompt-toolkit = [] -protobuf = [] -psutil = [] -ptyprocess = [ - {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, - {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, -] -pure-eval = [ - {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"}, - {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"}, -] -py = [ - {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"}, - {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"}, -] -pyarrow = [] -pyasn1 = [ - {file = "pyasn1-0.4.8-py2.4.egg", hash = "sha256:fec3e9d8e36808a28efb59b489e4528c10ad0f480e57dcc32b4de5c9d8c9fdf3"}, - {file = "pyasn1-0.4.8-py2.5.egg", hash = "sha256:0458773cfe65b153891ac249bcf1b5f8f320b7c2ce462151f8fa74de8934becf"}, - {file = "pyasn1-0.4.8-py2.6.egg", hash = "sha256:5c9414dcfede6e441f7e8f81b43b34e834731003427e5b09e4e00e3172a10f00"}, - {file = "pyasn1-0.4.8-py2.7.egg", hash = "sha256:6e7545f1a61025a4e58bb336952c5061697da694db1cae97b116e9c46abcf7c8"}, - {file = "pyasn1-0.4.8-py2.py3-none-any.whl", hash = "sha256:39c7e2ec30515947ff4e87fb6f456dfc6e84857d34be479c9d4a4ba4bf46aa5d"}, - {file = "pyasn1-0.4.8-py3.1.egg", hash = "sha256:78fa6da68ed2727915c4767bb386ab32cdba863caa7dbe473eaae45f9959da86"}, - {file = "pyasn1-0.4.8-py3.2.egg", hash = "sha256:08c3c53b75eaa48d71cf8c710312316392ed40899cb34710d092e96745a358b7"}, - {file = "pyasn1-0.4.8-py3.3.egg", hash = "sha256:03840c999ba71680a131cfaee6fab142e1ed9bbd9c693e285cc6aca0d555e576"}, - {file = "pyasn1-0.4.8-py3.4.egg", hash = "sha256:7ab8a544af125fb704feadb008c99a88805126fb525280b2270bb25cc1d78a12"}, - {file = "pyasn1-0.4.8-py3.5.egg", hash = "sha256:e89bf84b5437b532b0803ba5c9a5e054d21fec423a89952a74f87fa2c9b7bce2"}, - {file = "pyasn1-0.4.8-py3.6.egg", hash = "sha256:014c0e9976956a08139dc0712ae195324a75e142284d5f87f1a87ee1b068a359"}, - {file = "pyasn1-0.4.8-py3.7.egg", hash = "sha256:99fcc3c8d804d1bc6d9a099921e39d827026409a58f2a720dcdb89374ea0c776"}, - {file = "pyasn1-0.4.8.tar.gz", hash = "sha256:aef77c9fb94a3ac588e87841208bdec464471d9871bd5050a287cc9a475cd0ba"}, -] -pyasn1-modules = [ - {file = "pyasn1-modules-0.2.8.tar.gz", hash = "sha256:905f84c712230b2c592c19470d3ca8d552de726050d1d1716282a1f6146be65e"}, - {file = "pyasn1_modules-0.2.8-py2.4.egg", hash = "sha256:0fe1b68d1e486a1ed5473f1302bd991c1611d319bba158e98b106ff86e1d7199"}, - {file = "pyasn1_modules-0.2.8-py2.5.egg", hash = "sha256:fe0644d9ab041506b62782e92b06b8c68cca799e1a9636ec398675459e031405"}, - {file = "pyasn1_modules-0.2.8-py2.6.egg", hash = "sha256:a99324196732f53093a84c4369c996713eb8c89d360a496b599fb1a9c47fc3eb"}, - {file = "pyasn1_modules-0.2.8-py2.7.egg", hash = "sha256:0845a5582f6a02bb3e1bde9ecfc4bfcae6ec3210dd270522fee602365430c3f8"}, - {file = "pyasn1_modules-0.2.8-py2.py3-none-any.whl", hash = "sha256:a50b808ffeb97cb3601dd25981f6b016cbb3d31fbf57a8b8a87428e6158d0c74"}, - {file = "pyasn1_modules-0.2.8-py3.1.egg", hash = "sha256:f39edd8c4ecaa4556e989147ebf219227e2cd2e8a43c7e7fcb1f1c18c5fd6a3d"}, - {file = "pyasn1_modules-0.2.8-py3.2.egg", hash = "sha256:b80486a6c77252ea3a3e9b1e360bc9cf28eaac41263d173c032581ad2f20fe45"}, - {file = "pyasn1_modules-0.2.8-py3.3.egg", hash = "sha256:65cebbaffc913f4fe9e4808735c95ea22d7a7775646ab690518c056784bc21b4"}, - {file = "pyasn1_modules-0.2.8-py3.4.egg", hash = "sha256:15b7c67fabc7fc240d87fb9aabf999cf82311a6d6fb2c70d00d3d0604878c811"}, - {file = "pyasn1_modules-0.2.8-py3.5.egg", hash = "sha256:426edb7a5e8879f1ec54a1864f16b882c2837bfd06eee62f2c982315ee2473ed"}, - {file = "pyasn1_modules-0.2.8-py3.6.egg", hash = "sha256:cbac4bc38d117f2a49aeedec4407d23e8866ea4ac27ff2cf7fb3e5b570df19e0"}, - {file = "pyasn1_modules-0.2.8-py3.7.egg", hash = "sha256:c29a5e5cc7a3f05926aff34e097e84f8589cd790ce0ed41b67aed6857b26aafd"}, -] -pycparser = [ - {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"}, - {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"}, -] -pydeck = [] -pygments = [] -pympler = [ - {file = "Pympler-1.0.1-py3-none-any.whl", hash = "sha256:d260dda9ae781e1eab6ea15bacb84015849833ba5555f141d2d9b7b7473b307d"}, - {file = "Pympler-1.0.1.tar.gz", hash = "sha256:993f1a3599ca3f4fcd7160c7545ad06310c9e12f70174ae7ae8d4e25f6c5d3fa"}, -] -pymupdf = [] -pynndescent = [] -pyparsing = [] -pyrsistent = [ - {file = "pyrsistent-0.18.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:df46c854f490f81210870e509818b729db4488e1f30f2a1ce1698b2295a878d1"}, - {file = "pyrsistent-0.18.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d45866ececf4a5fff8742c25722da6d4c9e180daa7b405dc0a2a2790d668c26"}, - {file = "pyrsistent-0.18.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4ed6784ceac462a7d6fcb7e9b663e93b9a6fb373b7f43594f9ff68875788e01e"}, - {file = "pyrsistent-0.18.1-cp310-cp310-win32.whl", hash = "sha256:e4f3149fd5eb9b285d6bfb54d2e5173f6a116fe19172686797c056672689daf6"}, - {file = "pyrsistent-0.18.1-cp310-cp310-win_amd64.whl", hash = "sha256:636ce2dc235046ccd3d8c56a7ad54e99d5c1cd0ef07d9ae847306c91d11b5fec"}, - {file = "pyrsistent-0.18.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e92a52c166426efbe0d1ec1332ee9119b6d32fc1f0bbfd55d5c1088070e7fc1b"}, - {file = "pyrsistent-0.18.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7a096646eab884bf8bed965bad63ea327e0d0c38989fc83c5ea7b8a87037bfc"}, - {file = "pyrsistent-0.18.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cdfd2c361b8a8e5d9499b9082b501c452ade8bbf42aef97ea04854f4a3f43b22"}, - {file = "pyrsistent-0.18.1-cp37-cp37m-win32.whl", hash = "sha256:7ec335fc998faa4febe75cc5268a9eac0478b3f681602c1f27befaf2a1abe1d8"}, - {file = "pyrsistent-0.18.1-cp37-cp37m-win_amd64.whl", hash = "sha256:6455fc599df93d1f60e1c5c4fe471499f08d190d57eca040c0ea182301321286"}, - {file = "pyrsistent-0.18.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:fd8da6d0124efa2f67d86fa70c851022f87c98e205f0594e1fae044e7119a5a6"}, - {file = "pyrsistent-0.18.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7bfe2388663fd18bd8ce7db2c91c7400bf3e1a9e8bd7d63bf7e77d39051b85ec"}, - {file = "pyrsistent-0.18.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0e3e1fcc45199df76053026a51cc59ab2ea3fc7c094c6627e93b7b44cdae2c8c"}, - {file = "pyrsistent-0.18.1-cp38-cp38-win32.whl", hash = "sha256:b568f35ad53a7b07ed9b1b2bae09eb15cdd671a5ba5d2c66caee40dbf91c68ca"}, - {file = "pyrsistent-0.18.1-cp38-cp38-win_amd64.whl", hash = "sha256:d1b96547410f76078eaf66d282ddca2e4baae8964364abb4f4dcdde855cd123a"}, - {file = "pyrsistent-0.18.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f87cc2863ef33c709e237d4b5f4502a62a00fab450c9e020892e8e2ede5847f5"}, - {file = "pyrsistent-0.18.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6bc66318fb7ee012071b2792024564973ecc80e9522842eb4e17743604b5e045"}, - {file = "pyrsistent-0.18.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:914474c9f1d93080338ace89cb2acee74f4f666fb0424896fcfb8d86058bf17c"}, - {file = "pyrsistent-0.18.1-cp39-cp39-win32.whl", hash = "sha256:1b34eedd6812bf4d33814fca1b66005805d3640ce53140ab8bbb1e2651b0d9bc"}, - {file = "pyrsistent-0.18.1-cp39-cp39-win_amd64.whl", hash = "sha256:e24a828f57e0c337c8d8bb9f6b12f09dfdf0273da25fda9e314f0b684b415a07"}, - {file = "pyrsistent-0.18.1.tar.gz", hash = "sha256:d4d61f8b993a7255ba714df3aca52700f8125289f84f704cf80916517c46eb96"}, -] -pysocks = [ - {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"}, - {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"}, - {file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"}, -] -python-dateutil = [ - {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, - {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, -] -python-dotenv = [] -pytube = [] -pytz = [] -pytz-deprecation-shim = [ - {file = "pytz_deprecation_shim-0.1.0.post0-py2.py3-none-any.whl", hash = "sha256:8314c9692a636c8eb3bda879b9f119e350e93223ae83e70e80c31675a0fdc1a6"}, - {file = "pytz_deprecation_shim-0.1.0.post0.tar.gz", hash = "sha256:af097bae1b616dde5c5744441e2ddc69e74dfdcb0c263129610d85b87445a59d"}, -] -pywin32 = [ - {file = "pywin32-225-cp27-cp27m-win32.whl", hash = "sha256:749e590875051661ecefbd9dfa957a485016de0f25e43f5e70f888ef1e29587b"}, - {file = "pywin32-225-cp27-cp27m-win_amd64.whl", hash = "sha256:81f7732b662c46274d7d8c411c905d53e71999cba95457a0686467c3ebc745ca"}, - {file = "pywin32-225-cp35-cp35m-win32.whl", hash = "sha256:09bbe7cdb29eb40ab2e83f7a232eeeedde864be7a0622b70a90f456aad07a234"}, - {file = "pywin32-225-cp35-cp35m-win_amd64.whl", hash = "sha256:9db1fb8830bfa99c5bfd335d4482c14db5c6f5028db3b006787ef4200206242b"}, - {file = "pywin32-225-cp36-cp36m-win32.whl", hash = "sha256:bd8d04835db28646d9e07fd0ab7c7b18bd90e89dfdc559e60389179495ef30da"}, - {file = "pywin32-225-cp36-cp36m-win_amd64.whl", hash = "sha256:7c89d2c11a31c7aaa16dc4d25054d7e0e99d6f6b24193cf62c83850484658c87"}, - {file = "pywin32-225-cp37-cp37m-win32.whl", hash = "sha256:779d3e9d4b934f2445d2920c3941416d99af72eb7f7fd57a63576cc8aa540ad6"}, - {file = "pywin32-225-cp37-cp37m-win_amd64.whl", hash = "sha256:fc6822a68afd79e97b015985dd455767c72009b81bcd18957068626c43f11e75"}, - {file = "pywin32-225-cp38-cp38-win32.whl", hash = "sha256:0db7c9f4b93528afd080d35912a60be2f86a1d6c49c0a9cf9cedd106eed81ea3"}, - {file = "pywin32-225-cp38-cp38-win_amd64.whl", hash = "sha256:0443e9bb196e72480f50cbddc2cf98fbb858a77d02e281ba79489ea3287b36e9"}, - {file = "pywin32-225-cp39-cp39-win32.whl", hash = "sha256:fe6cfc2045931866417740b575231c7e12d69d481643be1493487ad53b089959"}, - {file = "pywin32-225-cp39-cp39-win_amd64.whl", hash = "sha256:0d8e0f47808798d320c983574c36c49db642678902933a210edd40157d206fd0"}, -] -pywinpty = [] -pyyaml = [ - {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"}, - {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"}, - {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"}, - {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"}, - {file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"}, - {file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"}, - {file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"}, - {file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"}, - {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"}, - {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"}, - {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"}, - {file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"}, - {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"}, - {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"}, - {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"}, - {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"}, - {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"}, - {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"}, - {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"}, - {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"}, - {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"}, - {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"}, - {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"}, - {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"}, - {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"}, - {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"}, - {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"}, - {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"}, - {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"}, - {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"}, - {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"}, - {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"}, - {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"}, -] -pyyaml-env-tag = [ - {file = "pyyaml_env_tag-0.1-py3-none-any.whl", hash = "sha256:af31106dec8a4d68c60207c1886031cbf839b68aa7abccdb19868200532c2069"}, - {file = "pyyaml_env_tag-0.1.tar.gz", hash = "sha256:70092675bda14fdec33b31ba77e7543de9ddc88f2e5b99160396572d11525bdb"}, -] -pyzmq = [] -qtconsole = [] -qtpy = [] -regex = [] -requests = [] -requests-oauthlib = [ - {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"}, - {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"}, -] -retina-face = [ - {file = "retina-face-0.0.12.tar.gz", hash = "sha256:9cd335460390960671343e021b697d88b1623e9ffb0c398573d486a64e3054d2"}, - {file = "retina_face-0.0.12-py3-none-any.whl", hash = "sha256:af05a23389ec3d817bddd333ea5c8fe05ec47f43ba807e16597d0daa5b7b93c6"}, -] -rich = [] -rsa = [] -scenedetect = [] -scikit-learn = [] -scipy = [] -semver = [ - {file = "semver-2.13.0-py2.py3-none-any.whl", hash = "sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4"}, - {file = "semver-2.13.0.tar.gz", hash = "sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f"}, -] -send2trash = [ - {file = "Send2Trash-1.8.0-py3-none-any.whl", hash = "sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08"}, - {file = "Send2Trash-1.8.0.tar.gz", hash = "sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d"}, -] -setuptools-scm = [] -six = [ - {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, - {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, -] -smmap = [ - {file = "smmap-5.0.0-py3-none-any.whl", hash = "sha256:2aba19d6a040e78d8b09de5c57e96207b09ed71d8e55ce0959eeee6c8e190d94"}, - {file = "smmap-5.0.0.tar.gz", hash = "sha256:c840e62059cd3be204b0c9c9f74be2c09d5648eddd4580d9314c3ecde0b30936"}, -] -sniffio = [] -soupsieve = [ - {file = "soupsieve-2.3.2.post1-py3-none-any.whl", hash = "sha256:3b2503d3c7084a42b1ebd08116e5f81aadfaea95863628c80a3b774a11b7c759"}, - {file = "soupsieve-2.3.2.post1.tar.gz", hash = "sha256:fc53893b3da2c33de295667a0e19f078c14bf86544af307354de5fcf12a3f30d"}, -] -stack-data = [] -streamlit = [] -tenacity = [] -tensorboard = [] -tensorboard-data-server = [ - {file = "tensorboard_data_server-0.6.1-py3-none-any.whl", hash = "sha256:809fe9887682d35c1f7d1f54f0f40f98bb1f771b14265b453ca051e2ce58fca7"}, - {file = "tensorboard_data_server-0.6.1-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fa8cef9be4fcae2f2363c88176638baf2da19c5ec90addb49b1cde05c95c88ee"}, - {file = "tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl", hash = "sha256:d8237580755e58eff68d1f3abefb5b1e39ae5c8b127cc40920f9c4fb33f4b98a"}, -] -tensorboard-plugin-wit = [ - {file = "tensorboard_plugin_wit-1.8.1-py3-none-any.whl", hash = "sha256:ff26bdd583d155aa951ee3b152b3d0cffae8005dc697f72b44a8e8c2a77a8cbe"}, -] -tensorflow = [] -tensorflow-estimator = [] -tensorflow-io-gcs-filesystem = [] -termcolor = [] -terminado = [] -threadpoolctl = [ - {file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"}, - {file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"}, -] -tinycss2 = [] -tokenizers = [] -toml = [ - {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"}, - {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"}, -] -tomli = [ - {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, - {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, -] -toolz = [] -torch = [ - {file = "torch-1.11.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:62052b50fffc29ca7afc0c04ef8206b6f1ca9d10629cb543077e12967e8d0398"}, - {file = "torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:866bfba29ac98dec35d893d8e17eaec149d0ac7a53be7baae5c98069897db667"}, - {file = "torch-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:951640fb8db308a59d9b510e7d1ad910aff92913323bbe4bc75435347ddd346d"}, - {file = "torch-1.11.0-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:5d77b5ece78fdafa5c7f42995ff9474399d22571cd6b2de21a5d666306a2ff8c"}, - {file = "torch-1.11.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:b5a38682769b544c875ecc34bcb81fbad5c922139b61319aacffcfd8a32f528c"}, - {file = "torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:f82d77695a60626f2b7382d85bc566de8a6b3e50d32080755abc040db802e419"}, - {file = "torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b96654d42566080a134e784705f33f8536b3b95b5dcde357ed7879b1692a5f78"}, - {file = "torch-1.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:8ee7c2e8d7f7020d5bfbc1bb91b9591044c26bbd0cee5e4f694cfd7ed8649260"}, - {file = "torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:6860b1d1bf0bb0b67a6bd47f85a0e4c825b518eea13b5d6101999dbbcbd5bc0c"}, - {file = "torch-1.11.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:4322aa29f50da7f404db06cdf30896ea67b09f673af4a985afc7162bc897864d"}, - {file = "torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e4d2e0ddd652f30e94cff750220324ec45705d4ecc69658f773b3cb1c7a28dd0"}, - {file = "torch-1.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:34ce5ea4d8d85da32cdbadb50d4585106901e9f8a3527991daa70c13a09de1f7"}, - {file = "torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:0ccc85cd06227a3edf809e2c795fd5762c3d4e8a38b5c9f744c6e7cf841361bb"}, - {file = "torch-1.11.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c1554e49d74f1b2c3e7202d77056ba2dd7465437585bac64062b580f714a44e9"}, - {file = "torch-1.11.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:58c7814502b1c129a650d7092033bbb0bbd64faf1a7941631aaa1aeaddc37570"}, - {file = "torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:831cf588f01dda9409e75576741d2823453990dee2983d670f2584b37a01adf7"}, - {file = "torch-1.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:44a1d02fd20f827f0f36dc26fdcfc45e793806a6ad52769a22260655a77a4369"}, - {file = "torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:50fd9bf85c578c871c28f1cb0ace9dfc6024401c7f399b174fb0f370899f4454"}, - {file = "torch-1.11.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:0e48af66ad755f0f9c5f2664028a414f57c49d6adc37e77e06fe0004da4edb61"}, -] -torchaudio = [ - {file = "torchaudio-0.11.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:8363e3db0a8af5820fd7d3bf8396a0af23dc8221c9a9d4b60e2e389805492944"}, - {file = "torchaudio-0.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3a3b2cceb95f04ed936da33bc53bd666dab0715a79db33ae4719852241dc2d2"}, - {file = "torchaudio-0.11.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:4e70645a1b77a89d9f40406f1a5b9af724f726a5c13bc2be55381e72b0fa63b6"}, - {file = "torchaudio-0.11.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:4d45833276a34ba0cdc9743b93141e6dbf17950091bb07940a30a6bf6cb80f05"}, - {file = "torchaudio-0.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:eff169d339d671b44bd777188be62861f4a3fca0779ecaa37518218e1e90978e"}, - {file = "torchaudio-0.11.0-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:b9a4d3e1ab611161c065ed2106804833ff4b85f64d84021ec590468363169f9d"}, - {file = "torchaudio-0.11.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:a2f27bd7b53c5a3d91b120b8291a46fb09ba3e5aa4e54dd5c8fe47fbb8f7d848"}, - {file = "torchaudio-0.11.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:3a3964f8a50cdeba8a02d20f07305853650a2dc3fb604a2334dce6b68cf8ea38"}, - {file = "torchaudio-0.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:21837810b14fec5fbd21055f8153f608f4957d8a563055402913a3da6bf602de"}, - {file = "torchaudio-0.11.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:f4e9dda9e8d3ce0bbd5e791926219f5054b8b85365c79be2ee90333acf9adbfc"}, - {file = "torchaudio-0.11.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:317fd8ec39fddb3af1dad906593b9ecdc3edf68e7f5780c42f8de956585ae480"}, - {file = "torchaudio-0.11.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7bcd958c31071accc8147f4781acd64743e37fcdc72c06b6eaa37dc88fb1ee28"}, - {file = "torchaudio-0.11.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:77add44d291a8a97f3a607cef053f009a27296f5d99f33082c57c4e6c326fafc"}, - {file = "torchaudio-0.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:771bb585311306c416de6ca20f60eb6940bff8f5e3b43fd8204f22d37e794ac2"}, - {file = "torchaudio-0.11.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:70d8bc07f277608d23a9aa08db3fbaf035660254bc12d9b361640c4556777559"}, - {file = "torchaudio-0.11.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e5e5513fcdd57870061965befbf0765787b25f499c3e00b58f4d844e44183177"}, - {file = "torchaudio-0.11.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7eb1376d2ed2693ada562841500ff84a8be40b63c859d10fb70e423af5f6c2fb"}, - {file = "torchaudio-0.11.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:9d1196a0f21041f60e915c2aa1b3fa9734d23f3b56f78794b2684cbd498a9dcb"}, - {file = "torchaudio-0.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:cd938f5e4a9456112574f28c493422525095c0fa27bd41215ff9d27999e52a2c"}, -] -torchvision = [ - {file = "torchvision-0.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:693656e6790b6ab21e4a6e87e81c2982bad9e455b5eb24e14bb672382ec6130f"}, - {file = "torchvision-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0be4501ca0ba1b195644c9243f49a1c49a26e52a7f37924c4239d0bf5ecbd8d"}, - {file = "torchvision-0.12.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:ebfb47adf65bf3926b990b2c4767e291f135e259e03232e0e1a30ecdb05eb087"}, - {file = "torchvision-0.12.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:9771231639afb5973cdaea1d449b451e2982e1ef5410ca67bbdc2b465565573a"}, - {file = "torchvision-0.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:894dacdc64b6e35e3f330722db51c76f4de016c7bf7bd79cf02ed2f4c106e625"}, - {file = "torchvision-0.12.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:36dfdf6451fe3072ab15118982853b848896c0fd3b26cb8135e1e7981dbb0916"}, - {file = "torchvision-0.12.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:aac76d52c5ce4229cb0eaebb762f3391fa736565eb35a4184fa0f7be30b705cd"}, - {file = "torchvision-0.12.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:926666f0b893dce6619759c19b0dd3884af7a9d7022b10395653659d28e43c48"}, - {file = "torchvision-0.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:c225f55c1bfce027a03f4ca46ddb9559c83f8087c2880bed3261a76c49bb7996"}, - {file = "torchvision-0.12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d1ccb53836ba886320dcda12d00ee8b5f8f38b6c36d7906f141d25778cf74104"}, - {file = "torchvision-0.12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9f42420f7f0b29cd3d61776df3157827257a0cf16b2c02776dc16c96abb1256d"}, - {file = "torchvision-0.12.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:9017248c7e526c8cdcaaab8cf41d904a520a409d707398189a06d0757901d235"}, - {file = "torchvision-0.12.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:0744902f2265d4c3e83c44a06b567df312e4a9faf8c92620016c7bed7056b5a7"}, - {file = "torchvision-0.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:a91db01496932350bf9c0ee8607ac8ef31c3ebfdaedefe5c5cda0515317f8b8e"}, - {file = "torchvision-0.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:24d03fcaa28004c64a24124ac4a894c50f5948c8eb290e398d6c76fff2bc678f"}, - {file = "torchvision-0.12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:69d82f47b67bad6ddcbb87833ba5950a6c271ba97baae4c0955610071bf034f5"}, - {file = "torchvision-0.12.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:49ed7886b93b80c9733462edd06a07f8d4c6ea4d5bd2894e7268f7a3774f4f7d"}, - {file = "torchvision-0.12.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b93a767f44e3933cb3b01a6fe9727db54590f57b7dac09d5aaf15966c6c151dd"}, - {file = "torchvision-0.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:edab05f7ba9f648c00435b384ffdbd7bde79a3b8ea893813fb50f6ccf28b1e76"}, -] -tornado = [] -tqdm = [] -traitlets = [] -transformers = [] -typing-extensions = [] -tzdata = [] -tzlocal = [ - {file = "tzlocal-4.2-py3-none-any.whl", hash = "sha256:89885494684c929d9191c57aa27502afc87a579be5cdd3225c77c463ea043745"}, - {file = "tzlocal-4.2.tar.gz", hash = "sha256:ee5842fa3a795f023514ac2d801c4a81d1743bbe642e3940143326b3a00addd7"}, -] -umap-learn = [ - {file = "umap-learn-0.5.3.tar.gz", hash = "sha256:dbd57cb181c2b66d238acb5635697526bf24c798082daed0cf9b87f6a3a6c0c7"}, -] -urllib3 = [] -validators = [] -watchdog = [] -wcwidth = [ - {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"}, - {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"}, -] -webencodings = [ - {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, - {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, -] -websocket-client = [] -werkzeug = [] -widgetsnbextension = [] -wrapt = [] -zipp = [] +lock-version = "2.0" +python-versions = ">=3.8,<3.9.7 || >3.9.7,<3.11" +content-hash = "e1ae1b4a520eb0db9d1f2fcf591426c52584d236505d40fc79bc5ed002593838" diff --git a/pyproject.toml b/pyproject.toml index c2d3c42..2f50462 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,12 +1,12 @@ [tool.poetry] name = "bechdelai" -version = "0.0.1-alpha.2" +version = "0.0.2" description = "Automating the Bechdel test and its variants for feminine representation in movies with AI" authors = ["Data For Good "] license = "MIT" [tool.poetry.dependencies] -python = ">=3.8,<3.9.7 || >3.9.7,<3.10" +python = ">=3.8,<3.9.7 || >3.9.7,<3.11" jupyter = "^1.0.0" pandas = "^1.3.4" numpy = "^1.21.3" @@ -35,9 +35,17 @@ openpyxl = "^3.0.10" pytube = "^12.1.0" mediapipe = "^0.9.0" scenedetect = {extras = ["opencv"], version = "^0.6.1"} +moviepy = "^1.0.3" +SpeechRecognition = "^3.8.1" +inaSpeechSegmenter = "^0.7.3" +llvmlite = "^0.39.1" +setuptools = ">=62.3.2" +openai = "^0.27.0" +openai-whisper = "^20230307" +gradio = "^3.20.1" [tool.poetry.dev-dependencies] -pywin32 = { version = "225", markers = "sys_platform == 'win32'" } +pywin32 = { version = "305", markers = "sys_platform == 'win32'" } jupyter = "^1.0.0" mkdocs = "^1.4.1" streamlit = "1.13.0" diff --git a/tutorials/drafts/Tutorial - Bechdel test demo for ODI.ipynb b/tutorials/drafts/Tutorial - Bechdel test demo for ODI.ipynb new file mode 100644 index 0000000..708a3ac --- /dev/null +++ b/tutorials/drafts/Tutorial - Bechdel test demo for ODI.ipynb @@ -0,0 +1,3468 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c8e95d37", + "metadata": {}, + "source": [ + "# Bechdel test demo for ODI" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b6ae2322", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:39.068583Z", + "start_time": "2023-03-22T11:14:30.202780Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-22 12:14:32.847758: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", + "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-03-22 12:14:33.329973: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2023-03-22 12:14:33.393221: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n", + "2023-03-22 12:14:33.393247: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n", + "2023-03-22 12:14:34.967464: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n", + "2023-03-22 12:14:34.967590: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n", + "2023-03-22 12:14:34.967596: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import sys\n", + "sys.path.append(\"../../\")\n", + "\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "import bechdelai\n", + "from bechdelai.audio import config, utils\n", + "from bechdelai.audio.audio_processor import AudioProcessor" + ] + }, + { + "cell_type": "markdown", + "id": "53259d8b", + "metadata": {}, + "source": [ + "# Bechdel test on movie trailer" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ed5b9e67", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:39.139370Z", + "start_time": "2023-03-22T11:14:39.071933Z" + } + }, + "outputs": [], + "source": [ + "trailer_avengers = \"https://www.youtube.com/watch?v=TcMBFSGVi1c&ab_channel=MarvelEntertainment\"\n", + "trailer_littlewomen = \"https://www.youtube.com/watch?v=AST2-4db4ic&ab_channel=SonyPicturesEntertainment\"\n", + "trailer_moncrime = \"https://www.youtube.com/watch?v=PaNkAPIUvpA\"\n", + "trailer_empire = \"https://www.youtube.com/watch?v=3JA3bD5xs-Q\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8e998bba", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:39.292229Z", + "start_time": "2023-03-22T11:14:39.142129Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
\n", + " \n", + "
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from bechdelai.data.youtube import show_youtube_in_notebook\n", + "\n", + "show_youtube_in_notebook(trailer_littlewomen)" + ] + }, + { + "cell_type": "markdown", + "id": "905bbf1d", + "metadata": {}, + "source": [ + "## Download trailer from Youtube and convert to audio" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f9a46736", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:39.375613Z", + "start_time": "2023-03-22T11:14:39.295785Z" + } + }, + "outputs": [], + "source": [ + "from bechdelai.data.youtube import download_youtube_video\n", + "from bechdelai.audio.utils import extract_audio_from_video" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a268ab19", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:42.004113Z", + "start_time": "2023-03-22T11:14:39.380756Z" + }, + "hide_input": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved the youtube video at video.mp4\n" + ] + } + ], + "source": [ + "download_youtube_video(trailer_littlewomen,\"video.mp4\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8b86a4c3", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:55.167123Z", + "start_time": "2023-03-22T11:14:51.224544Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MoviePy - Writing audio in video.mp3\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MoviePy - Done.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r" + ] + } + ], + "source": [ + "extract_audio_from_video(\"video.mp4\",\"mp3\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c41331e0", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:55.253979Z", + "start_time": "2023-03-22T11:14:55.170789Z" + } + }, + "outputs": [], + "source": [ + "# from IPython.display import Audio\n", + "# Audio(\"video.wav\")" + ] + }, + { + "cell_type": "markdown", + "id": "0b4f6beb", + "metadata": {}, + "source": [ + "## Audio pipeline" + ] + }, + { + "cell_type": "markdown", + "id": "de546464", + "metadata": {}, + "source": [ + "### Speech to text" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ceac02ca", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:55.319875Z", + "start_time": "2023-03-22T11:14:55.256503Z" + } + }, + "outputs": [], + "source": [ + "from bechdelai.audio.transcriber import WhisperAPI" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d9e630a5", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:14:55.404907Z", + "start_time": "2023-03-22T11:14:55.323840Z" + } + }, + "outputs": [], + "source": [ + "whisper_api = WhisperAPI()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e31c2d16", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:07.572409Z", + "start_time": "2023-03-22T11:14:55.410220Z" + } + }, + "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", + "
startendtextspeech
00.03.0This is Meg, Amy, Beth, and Joe.True
13.05.5β™ͺβ™ͺFalse
25.59.5β™ͺβ™ͺFalse
39.511.0I'm working on a novel.True
411.014.0It is a story of my life and my sisters.True
\n", + "
" + ], + "text/plain": [ + " start end text speech\n", + "0 0.0 3.0 This is Meg, Amy, Beth, and Joe. True\n", + "1 3.0 5.5 β™ͺβ™ͺ False\n", + "2 5.5 9.5 β™ͺβ™ͺ False\n", + "3 9.5 11.0 I'm working on a novel. True\n", + "4 11.0 14.0 It is a story of my life and my sisters. True" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result,segments,text = whisper_api.speech_to_text(\"video.mp3\")\n", + "segments.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "dc056b3e", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:07.657408Z", + "start_time": "2023-03-22T11:15:07.577029Z" + } + }, + "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", + "
startendtextspeech
00.03.0This is Meg, Amy, Beth, and Joe.True
13.05.5β™ͺβ™ͺFalse
25.59.5β™ͺβ™ͺFalse
39.511.0I'm working on a novel.True
411.014.0It is a story of my life and my sisters.True
...............
57123.0125.5that love is just all a woman is fit for.True
58125.5127.0I'm so sick of it.True
59127.0139.0β™ͺβ™ͺFalse
60139.0142.5There are some natures too lofty to bend.True
61142.5149.5So, who does she marry?True
\n", + "

62 rows Γ— 4 columns

\n", + "
" + ], + "text/plain": [ + " start end text speech\n", + "0 0.0 3.0 This is Meg, Amy, Beth, and Joe. True\n", + "1 3.0 5.5 β™ͺβ™ͺ False\n", + "2 5.5 9.5 β™ͺβ™ͺ False\n", + "3 9.5 11.0 I'm working on a novel. True\n", + "4 11.0 14.0 It is a story of my life and my sisters. True\n", + ".. ... ... ... ...\n", + "57 123.0 125.5 that love is just all a woman is fit for. True\n", + "58 125.5 127.0 I'm so sick of it. True\n", + "59 127.0 139.0 β™ͺβ™ͺ False\n", + "60 139.0 142.5 There are some natures too lofty to bend. True\n", + "61 142.5 149.5 So, who does she marry? True\n", + "\n", + "[62 rows x 4 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "segments" + ] + }, + { + "cell_type": "markdown", + "id": "58241511", + "metadata": {}, + "source": [ + "### Gender classification post speech to text" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6bc45a70", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:07.735909Z", + "start_time": "2023-03-22T11:15:07.662605Z" + } + }, + "outputs": [], + "source": [ + "from bechdelai.audio.gender_segmenter import InaSpeechSegmentor" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "3d9e4ee5", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:08.263034Z", + "start_time": "2023-03-22T11:15:07.739258Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-22 12:15:07.806262: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /root/.cache/pypoetry/virtualenvs/bechdelai-aAZXO16a-py3.9/lib/python3.9/site-packages/cv2/../../lib64:\n", + "2023-03-22 12:15:07.806739: W tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:265] failed call to cuInit: UNKNOWN ERROR (303)\n", + "2023-03-22 12:15:07.806772: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (EKI-PC81XSYD3): /proc/driver/nvidia/version does not exist\n", + "2023-03-22 12:15:07.808251: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", + "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" + ] + } + ], + "source": [ + "gender = InaSpeechSegmentor(only_gender=True,batch_size = 32)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "46d71575", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:25.711801Z", + "start_time": "2023-03-22T11:15:08.264739Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "186/186 - 15s - 15s/epoch - 81ms/step\n" + ] + } + ], + "source": [ + "segments_ina = gender._convert_whisper_output(segments)\n", + "segments_ina = gender.predict_gender_on_segments(\"video.mp3\",segments_ina)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "251a3051", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:25.785484Z", + "start_time": "2023-03-22T11:15:25.714718Z" + } + }, + "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", + "
startendtextspeechgender
00.03.0This is Meg, Amy, Beth, and Joe.Truemale
13.05.5β™ͺβ™ͺFalseNaN
25.59.5β™ͺβ™ͺFalseNaN
39.511.0I'm working on a novel.Truefemale
411.014.0It is a story of my life and my sisters.Truefemale
..................
57123.0125.5that love is just all a woman is fit for.Truefemale
58125.5127.0I'm so sick of it.Truefemale
59127.0139.0β™ͺβ™ͺFalseNaN
60139.0142.5There are some natures too lofty to bend.Truemale
61142.5149.5So, who does she marry?Truemale
\n", + "

62 rows Γ— 5 columns

\n", + "
" + ], + "text/plain": [ + " start end text speech gender\n", + "0 0.0 3.0 This is Meg, Amy, Beth, and Joe. True male\n", + "1 3.0 5.5 β™ͺβ™ͺ False NaN\n", + "2 5.5 9.5 β™ͺβ™ͺ False NaN\n", + "3 9.5 11.0 I'm working on a novel. True female\n", + "4 11.0 14.0 It is a story of my life and my sisters. True female\n", + ".. ... ... ... ... ...\n", + "57 123.0 125.5 that love is just all a woman is fit for. True female\n", + "58 125.5 127.0 I'm so sick of it. True female\n", + "59 127.0 139.0 β™ͺβ™ͺ False NaN\n", + "60 139.0 142.5 There are some natures too lofty to bend. True male\n", + "61 142.5 149.5 So, who does she marry? True male\n", + "\n", + "[62 rows x 5 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "segments_with_gender = segments.merge(segments_ina[[\"gender\",\"start\"]],on = \"start\",how = \"left\")\n", + "segments_with_gender" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "005dcea2", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:25.858000Z", + "start_time": "2023-03-22T11:15:25.788432Z" + } + }, + "outputs": [], + "source": [ + "segments_with_gender[\"duration\"] = segments_with_gender[\"end\"] - segments_with_gender[\"start\"]" + ] + }, + { + "cell_type": "markdown", + "id": "04afc903", + "metadata": {}, + "source": [ + "## Dialogue detection" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "fadf57f7", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:25.916945Z", + "start_time": "2023-03-22T11:15:25.859868Z" + } + }, + "outputs": [], + "source": [ + "pd.set_option('display.max_rows', 100)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "fa7a9203", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:25.996671Z", + "start_time": "2023-03-22T11:15:25.919745Z" + } + }, + "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", + "
startendtextspeechgenderdurationdialogue_id
00.03.0This is Meg, Amy, Beth, and Joe.Truemale3.00.0
13.05.5β™ͺβ™ͺFalseNaN2.5NaN
25.59.5β™ͺβ™ͺFalseNaN4.0NaN
39.511.0I'm working on a novel.Truefemale1.51.0
411.014.0It is a story of my life and my sisters.Truefemale3.01.0
\n", + "
" + ], + "text/plain": [ + " start end text speech gender \\\n", + "0 0.0 3.0 This is Meg, Amy, Beth, and Joe. True male \n", + "1 3.0 5.5 β™ͺβ™ͺ False NaN \n", + "2 5.5 9.5 β™ͺβ™ͺ False NaN \n", + "3 9.5 11.0 I'm working on a novel. True female \n", + "4 11.0 14.0 It is a story of my life and my sisters. True female \n", + "\n", + " duration dialogue_id \n", + "0 3.0 0.0 \n", + "1 2.5 NaN \n", + "2 4.0 NaN \n", + "3 1.5 1.0 \n", + "4 3.0 1.0 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dialogue_id = segments_with_gender[\"speech\"].astype(int).diff(1).fillna(0)\n", + "dialogue_id.loc[dialogue_id < 0] = 0\n", + "segments_with_gender[\"dialogue_id\"] = dialogue_id.cumsum()\n", + "segments_with_gender.loc[segments_with_gender[\"speech\"] == False,\"dialogue_id\"] = np.NaN\n", + "\n", + "segments_with_gender.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "585cfa42", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:26.079777Z", + "start_time": "2023-03-22T11:15:26.001520Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['start', 'end', 'text', 'speech', 'gender', 'duration', 'dialogue_id'], dtype='object')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "segments_with_gender.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "6721d69c", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:26.164306Z", + "start_time": "2023-03-22T11:15:26.082199Z" + } + }, + "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", + "
genderduration
0female72.0
1male47.0
\n", + "
" + ], + "text/plain": [ + " gender duration\n", + "0 female 72.0\n", + "1 male 47.0" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "segments_with_gender.groupby(\"gender\")[\"duration\"].sum().reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "32cfd161", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:27.200365Z", + "start_time": "2023-03-22T11:15:26.167761Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "customdata": [ + [ + "female" + ], + [ + "male" + ] + ], + "domain": { + "x": [ + 0, + 1 + ], + "y": [ + 0, + 1 + ] + }, + "hovertemplate": "gender=%{customdata[0]}
duration=%{value}", + "labels": [ + "female", + "male" + ], + "legendgroup": "", + "marker": { + "colors": [ + "#acef9f", + "#FF4D4D" + ] + }, + "name": "", + "showlegend": true, + "type": "pie", + "values": [ + 72, + 47 + ] + } + ], + "layout": { + "legend": { + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "RΓ©partition du temps de parole" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import plotly.express as px\n", + "\n", + "px.pie(\n", + " segments_with_gender.groupby(\"gender\")[\"duration\"].sum().reset_index(),\n", + " values = \"duration\",\n", + " names = \"gender\",\n", + " color = \"gender\",\n", + " color_discrete_map={\"female\":\"#acef9f\",\"male\":\"#FF4D4D\"},\n", + " title = \"RΓ©partition du temps de parole\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "d1c48a13", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:27.348043Z", + "start_time": "2023-03-22T11:15:27.203733Z" + } + }, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "alignmentgroup": "True", + "base": [ + "2022-01-01T00:00:00", + "2022-01-01T00:00:14", + "2022-01-01T00:00:15.500000", + "2022-01-01T00:00:17", + "2022-01-01T00:00:19", + "2022-01-01T00:00:31", + "2022-01-01T00:00:34", + "2022-01-01T00:00:35.500000", + "2022-01-01T00:00:38", + "2022-01-01T00:01:00", + "2022-01-01T00:01:07.500000", + "2022-01-01T00:01:13", + "2022-01-01T00:01:19.500000", + "2022-01-01T00:01:33.500000", + "2022-01-01T00:01:35.500000", + "2022-01-01T00:01:42.500000", + "2022-01-01T00:01:47.500000", + "2022-01-01T00:02:19", + "2022-01-01T00:02:22.500000" + ], + "hovertemplate": "gender=male
start_time=%{base}
end_time=%{x}
dialogue_id=%{y}", + "legendgroup": "male", + "marker": { + "color": "#FF4D4D", + "pattern": { + "shape": "" + } + }, + "name": "male", + "offsetgroup": "male", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 3000, + 1500, + 1500, + 2000, + 1500, + 3000, + 1500, + 2500, + 2500, + 2000, + 3500, + 2000, + 2000, + 2000, + 2000, + 2000, + 2000, + 3500, + 7000 + ], + "xaxis": "x", + "y": [ + 0, + 1, + 1, + 1, + 1, + 2, + 2, + 2, + 2, + 3, + 4, + 5, + 6, + 6, + 6, + 6, + 6, + 7, + 7 + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "base": [ + "2022-01-01T00:00:09.500000", + "2022-01-01T00:00:11", + "2022-01-01T00:00:22.500000", + "2022-01-01T00:00:24", + "2022-01-01T00:00:26", + "2022-01-01T00:00:27.500000", + "2022-01-01T00:00:28.500000", + "2022-01-01T00:00:40.500000", + "2022-01-01T00:00:42.500000", + "2022-01-01T00:00:45.500000", + "2022-01-01T00:00:47.500000", + "2022-01-01T00:00:49", + "2022-01-01T00:00:53", + "2022-01-01T00:00:55", + "2022-01-01T00:00:57.500000", + "2022-01-01T00:01:05.500000", + "2022-01-01T00:01:15", + "2022-01-01T00:01:21.500000", + "2022-01-01T00:01:24", + "2022-01-01T00:01:25.500000", + "2022-01-01T00:01:27.500000", + "2022-01-01T00:01:29.500000", + "2022-01-01T00:01:31.500000", + "2022-01-01T00:01:37.500000", + "2022-01-01T00:01:39.500000", + "2022-01-01T00:01:41", + "2022-01-01T00:01:44.500000", + "2022-01-01T00:01:49.500000", + "2022-01-01T00:01:52.500000", + "2022-01-01T00:01:54", + "2022-01-01T00:01:56.500000", + "2022-01-01T00:01:59", + "2022-01-01T00:02:00.500000", + "2022-01-01T00:02:03", + "2022-01-01T00:02:05.500000" + ], + "hovertemplate": "gender=female
start_time=%{base}
end_time=%{x}
dialogue_id=%{y}", + "legendgroup": "female", + "marker": { + "color": "#acef9f", + "pattern": { + "shape": "" + } + }, + "name": "female", + "offsetgroup": "female", + "orientation": "h", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + 1500, + 3000, + 1500, + 2000, + 1500, + 1000, + 2500, + 2000, + 3000, + 2000, + 1500, + 1500, + 2000, + 2500, + 2500, + 2000, + 2500, + 2500, + 1500, + 2000, + 2000, + 2000, + 2000, + 2000, + 1500, + 1500, + 3000, + 3000, + 1500, + 2500, + 2500, + 1500, + 2500, + 2500, + 1500 + ], + "xaxis": "x", + "y": [ + 1, + 1, + 2, + 2, + 2, + 2, + 2, + 2, + 2, + 2, + 2, + 2, + 3, + 3, + 3, + 4, + 5, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6, + 6 + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "overlay", + "legend": { + "title": { + "text": "gender" + }, + "tracegroupgap": 0 + }, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Timeline du temps de parole" + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "type": "date" + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "dialogue_id" + } + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "timeline = segments_with_gender.copy()\n", + "timeline[\"start_time\"] = timeline[\"start\"].map(lambda x : pd.Timedelta(seconds = x))\n", + "timeline[\"end_time\"] = timeline[\"end\"].map(lambda x : pd.Timedelta(seconds = x))\n", + "start_date = pd.to_datetime(\"2022-01-01\")\n", + "timeline[\"start_time\"] = start_date + timeline[\"start_time\"]\n", + "timeline[\"end_time\"] = start_date + timeline[\"end_time\"]\n", + "\n", + "px.timeline(\n", + " timeline,\n", + " x_start = \"start_time\",\n", + " x_end = \"end_time\",\n", + " color = \"gender\",\n", + " y = \"dialogue_id\",\n", + " color_discrete_map={\"female\":\"#acef9f\",\"male\":\"#FF4D4D\"},\n", + " title = \"Timeline du temps de parole\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b36643f2", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:27.418289Z", + "start_time": "2023-03-22T11:15:27.350726Z" + } + }, + "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", + "
genderfemalemale
dialogue_id
0.00.03.0
1.04.56.5
2.018.59.5
3.07.02.0
4.02.03.5
5.02.52.0
6.037.510.0
7.00.010.5
\n", + "
" + ], + "text/plain": [ + "gender female male\n", + "dialogue_id \n", + "0.0 0.0 3.0\n", + "1.0 4.5 6.5\n", + "2.0 18.5 9.5\n", + "3.0 7.0 2.0\n", + "4.0 2.0 3.5\n", + "5.0 2.5 2.0\n", + "6.0 37.5 10.0\n", + "7.0 0.0 10.5" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "segments_with_gender.groupby([\"dialogue_id\",\"gender\"])[\"duration\"].sum().unstack(\"gender\").fillna(0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "ddb0336f", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:27.508375Z", + "start_time": "2023-03-22T11:15:27.420357Z" + } + }, + "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", + "
startend
dialogue_id
0.00.03.0
1.09.520.5
2.022.550.5
3.053.062.0
4.065.571.0
5.073.077.5
6.079.5127.0
7.0139.0149.5
\n", + "
" + ], + "text/plain": [ + " start end\n", + "dialogue_id \n", + "0.0 0.0 3.0\n", + "1.0 9.5 20.5\n", + "2.0 22.5 50.5\n", + "3.0 53.0 62.0\n", + "4.0 65.5 71.0\n", + "5.0 73.0 77.5\n", + "6.0 79.5 127.0\n", + "7.0 139.0 149.5" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "segments_with_gender.groupby([\"dialogue_id\"]).agg({\"start\":\"min\",\"end\":\"max\"})" + ] + }, + { + "cell_type": "markdown", + "id": "3e8febf9", + "metadata": {}, + "source": [ + "# 3rd question of the test with GPT-3" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "3834eb81", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:31:13.268215Z", + "start_time": "2023-03-22T11:31:13.200954Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "female: I'm working on a novel.\n", + "female: It is a story of my life and my sisters.\n", + "male: Make it short and spicy.\n", + "male: And if the main character is a girl,\n", + "male: make sure she's married by the end.\n", + "male: Ow, Joe!\n" + ] + } + ], + "source": [ + "text = []\n", + "for i,row in segments_with_gender.query(\"dialogue_id == 1\").iterrows():\n", + " text.append(f\"{row['gender']}: {row['text']}\")\n", + "text = \"\\n\".join(text)\n", + "print(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "07ab8cd6", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:34.155866Z", + "start_time": "2023-03-22T11:15:34.050367Z" + } + }, + "outputs": [], + "source": [ + "from bechdelai.nlp.gpt import GPT3" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "68b32397", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:34.656408Z", + "start_time": "2023-03-22T11:15:34.584850Z" + } + }, + "outputs": [], + "source": [ + "gpt = GPT3()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ceec4eff", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:44.209303Z", + "start_time": "2023-03-22T11:15:35.037531Z" + }, + "code_folding": [] + }, + "outputs": [], + "source": [ + "answers = gpt.answer_questions([\n", + " \"Are they talking about a man?\",\n", + " \"Are they talking about romance?\",\n", + " \"what stereotypes towards women are conveyed in this dialogue?\"\n", + "],text)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "0cb1ff94", + "metadata": { + "ExecuteTime": { + "end_time": "2023-03-22T11:15:44.280685Z", + "start_time": "2023-03-22T11:15:44.211320Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Are they talking about a man?\n", + "\n", + "No, they are not talking about a man. The dialogue is introducing four people by their names, three of whom are female (Meg, Amy, Beth) and one of whom is male (Joe). This suggests that the dialogue is not focused on the male character, but rather is introducing the four people collectively.\n", + "------------------------------\n", + "Are they talking about romance?\n", + "\n", + "No, they are not talking about romance. The dialogue is introducing four people - Meg, Amy, Beth and Joe - without any context as to why they are being introduced. There is no indication of any kind of romantic relationship between the individuals, so it is safe to assume that they are not talking about romance.\n", + "------------------------------\n", + "what stereotypes towards women are conveyed in this dialogue?\n", + "\n", + "The dialogue conveys a stereotype that women are only seen in relation to other people, specifically other women, which implies that they are not seen as individuals in their own right. Additionally, the dialogue implies that women are often grouped together rather than seen as individual characters, which is another stereotype. Finally, the dialogue implies that women are often seen as part of a group rather than as individuals, which can be seen as a reinforcement of the idea that women are subordinate to men.\n", + "------------------------------\n" + ] + } + ], + "source": [ + "for i,row in answers.iterrows():\n", + " print(row[\"question\"])\n", + " print(row[\"answer\"])\n", + " print(\"------------------------------\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.13" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "165px" + }, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/drafts/Tutorial - Get dialogues from audio with gender timeranges.ipynb b/tutorials/drafts/Tutorial - Get dialogues from audio with gender timeranges.ipynb new file mode 100644 index 0000000..73facc8 --- /dev/null +++ b/tutorials/drafts/Tutorial - Get dialogues from audio with gender timeranges.ipynb @@ -0,0 +1,1114 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c8e95d37", + "metadata": {}, + "source": [ + "# Tutorial - Get dialogues from audio with gender timeranges" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b6ae2322", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "sys.path.append(\"../../\")\n", + "\n", + "import bechdelai\n", + "from bechdelai.audio import config, utils\n", + "from bechdelai.audio.audio_processor import AudioProcessor" + ] + }, + { + "cell_type": "markdown", + "id": "53259d8b", + "metadata": {}, + "source": [ + "## Download the trailer from Youtube\n", + "We are going to use the get_youtube function inspired from https://huggingface.co/spaces/Karwasze/Whisper-ASR-youtube-subtitles/blob/main/app.py" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "36099133", + "metadata": {}, + "outputs": [], + "source": [ + "from pytube import YouTube\n", + "\n", + "def get_youtube(video_url):\n", + " \"\"\"Download youtube video from a given url\"\"\"\n", + " yt = YouTube(video_url)\n", + " abs_video_path = yt.streams.filter(progressive=True, file_extension='mp4').order_by('resolution').desc().first().download()\n", + " \n", + " return abs_video_path" + ] + }, + { + "cell_type": "markdown", + "id": "48d886c3", + "metadata": {}, + "source": [ + "For the purpose of this tutorial we are, firt, choosing a French movie : Les Tuche 4" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a268ab19", + "metadata": {}, + "outputs": [], + "source": [ + "video_url = \"https://www.youtube.com/watch?v=TCTtdSuj2eo&ab_channel=FilmsActu\" #Tuche 4\n", + "video_path = get_youtube(video_url)" + ] + }, + { + "cell_type": "markdown", + "id": "63ee3d3d", + "metadata": {}, + "source": [ + "## Convert movie to audio\n", + "We must now isolate the audio file with a `.wav` format." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2ffcd44e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MoviePy - Writing audio in C:\\Users\\chloe\\Documents\\DATAFORGOOD\\bechdelai\\tutorials\\drafts\\LES TUCHE 4 Bande Annonce Officielle (2021).wav\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MoviePy - Done.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r" + ] + } + ], + "source": [ + "utils.extract_audio_from_movie(video_path)\n", + "audio_path = video_path.split(sep='.')[0] + '.wav'" + ] + }, + { + "cell_type": "markdown", + "id": "c8693be4", + "metadata": {}, + "source": [ + "## Load audio processing for French\n", + "The first step is to set the configuration according to the language. In the next versions it will also be possible to choose speed for example." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "44e5258f", + "metadata": {}, + "outputs": [], + "source": [ + "configuration = config.Config()\n", + "configuration.select_profile(option=\"FR\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4b59a1cb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "configuration.get_profile()" + ] + }, + { + "cell_type": "markdown", + "id": "7f536f7d", + "metadata": {}, + "source": [ + "Once the language is set, it's time to run the machine..." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "60233231", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "149/149 - 3s - 3s/epoch - 20ms/step\n", + "111/111 - 5s - 5s/epoch - 43ms/step\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92710316,\n", + " 'transcript': \"NoΓ«l c'est comme les frites c'est \"\n", + " 'quand on veut'},\n", + " { 'transcript': \"NoΓ«l c'est comme les frites c'est \"\n", + " 'quand ton vΕ“u'},\n", + " { 'transcript': \"NoΓ«l c'est comme les frites c'est \"\n", + " 'quand ton vΕ“ux'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.9121725,\n", + " 'transcript': \"bonjour c'est nous les Tuche\"},\n", + " {'transcript': \"bonjour c'est nous les tuches\"},\n", + " {'transcript': \"bonjour c'est nous les Tuche aprΓ¨s\"}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.89889336,\n", + " 'transcript': \"donc c'est nous les Tuche\"},\n", + " {'transcript': \"c'est nous les Tuche\"},\n", + " {'transcript': \"donc c'est nous les tuches\"}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92710316,\n", + " 'transcript': \"exactement c'est le moment de \"\n", + " 'prΓ©parer NoΓ«l en famille'},\n", + " { 'transcript': \"exactement c'est le moment de \"\n", + " 'prΓ©parer NoΓ«l en famille dis-moi ce'},\n", + " { 'transcript': \"exactement c'est le moment de \"\n", + " 'prΓ©parer NoΓ«l en famille dis-moi ce '\n", + " 'qui'},\n", + " { 'transcript': \"exactement c'est le moment de \"\n", + " 'prΓ©parer NoΓ«l en famille dis-moi'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.9117986,\n", + " 'transcript': 'dis-moi ce qui se passe je voudrais'},\n", + " {'transcript': 'je voudrais'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92420292,\n", + " 'transcript': 'dis-moi ce qui se passe quand je '\n", + " 'voudrais que ma sΕ“ur soit il a aussi '\n", + " 'problΓ¨me tous les deux lΓ  pour des '\n", + " 'conneries il y a 10 ans'},\n", + " { 'transcript': 'dis-moi ce qui se passe quand je '\n", + " 'voudrais que ma sΕ“ur soit il a aussi '\n", + " 'problΓ¨me Γ  tous les deux lΓ  pour des '\n", + " 'conneries il y a 10 ans'},\n", + " { 'transcript': 'dis-moi ce qui se passe quand je '\n", + " 'voudrais que ma sΕ“ur soit il a aussi '\n", + " 'problΓ¨me tous les deux lΓ  pour des '\n", + " 'conneries il y a 10 ans alors'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92171675,\n", + " 'transcript': 'il y a 10 ans alors marteau tu as '\n", + " 'toujours ton travail je me rΓ©gale '\n", + " 'ces magasins'},\n", + " { 'transcript': 'il y a 10 ans alors marteau tu es '\n", + " 'toujours ton travail je me rΓ©gale '\n", + " 'ces magasins'},\n", + " { 'transcript': 'il y a 10 ans alors marteau tu as '\n", + " 'toujours ton travail je me rΓ©gale '\n", + " 'ces magasins 2 x'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92710316,\n", + " 'transcript': \"qu'est-ce que je disais dΓ©jΓ \"},\n", + " { 'transcript': \"ouvrir l'ennemi qu'est-ce que je \"\n", + " 'disais dΓ©jΓ '},\n", + " { 'transcript': \"ouvrir l'ennemi qu'est-ce que je \"\n", + " 'disais dΓ©jΓ  Γ©coutΓ© pas'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.85335368,\n", + " 'transcript': \"je vois j'Γ©coutais pas Γ§a va\"},\n", + " {'transcript': \"c'est bon j'Γ©coutais pas Γ§a va\"},\n", + " {'transcript': \"je vois j'Γ©coutais pas Γ§a va Γͺtre\"}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.9271031,\n", + " 'transcript': 'Γ§a va Γͺtre long'},\n", + " {'transcript': 'Γ§a va Γͺtre longue'},\n", + " {'transcript': 'Γ§a va Γͺtre long lΓ '}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.91169006,\n", + " 'transcript': \"il y a plus d'usine des jouets \"\n", + " 'devant vous vendez Γ  qui'},\n", + " { 'transcript': \"il y a plus d'usine des jouets \"\n", + " 'devant vous vous vendez Γ  qui'},\n", + " { 'transcript': \"il y a plus d'usine des jouets je \"\n", + " 'vends vous vendez Γ  qui'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.89714372,\n", + " 'transcript': 'les gros gagne les petits meurent '\n", + " 'vous Γͺtes dans la deuxiΓ¨me catΓ©gorie '\n", + " 'dΓ©solΓ©'},\n", + " { 'transcript': 'les gros gagnent les petits meurent '\n", + " 'vous Γͺtes dans la deuxiΓ¨me catΓ©gorie '\n", + " 'dΓ©solΓ©'},\n", + " { 'transcript': 'les gros gagne les petits meurent '\n", + " 'vous Γͺtes dans la deuxiΓ¨me catΓ©gorie '\n", + " 'dΓ©solΓ©e'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.91114563,\n", + " 'transcript': \"j'ai une proposition Γ  vous faire \"\n", + " 'voilΓ  mon plan racheter limarolles '\n", + " 'et fabriquer des jouets en bois '\n", + " \"qu'est-ce que tu voulais avoir toi \"\n", + " 'tu veux des clous il fabrique un '\n", + " \"jouet que nous n'avons pas vous \"\n", + " \"pourriez appeler l'inspection du \"\n", + " 'travail lΓ  vous travaillez monsieur '\n", + " 'Tuche non je travaille pas je suis '\n", + " 'pas trop vous avez dΓ©jΓ  vu un patron '\n", + " 'qui travaille vous'},\n", + " { 'transcript': \"j'ai une proposition Γ  vous faire \"\n", + " 'voilΓ  mon plan racheter limarolles '\n", + " 'et fabriquer des jouets en bois '\n", + " \"qu'est-ce que tu voulais avoir toi \"\n", + " 'tu veux des clous il fabrique un '\n", + " \"jouet que nous n'avons pas vous \"\n", + " \"pourriez appeler l'inspection du \"\n", + " 'travail lΓ  vous travaillez monsieur '\n", + " 'Tuche pas trop vous avez dΓ©jΓ  vu un '\n", + " 'patron qui travaille vous'},\n", + " { 'transcript': \"j'ai une proposition Γ  vous faire \"\n", + " 'voilΓ  mon plan racheter limarolles '\n", + " 'et fabriquer des jouets en bois '\n", + " \"qu'est-ce que tu voulais avoir toi \"\n", + " 'tu veux des clous il fabrique un '\n", + " \"jouet que nous n'avons pas vous \"\n", + " \"pourriez appeler l'inspection du \"\n", + " 'travail lΓ  vous travaillez monsieur '\n", + " 'Tuche pas trop vous avez dΓ©jΓ  vu un '\n", + " 'patron qui travaille'}],\n", + " 'final': True}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92594719,\n", + " 'transcript': \"ah c'est les Γ©chos tu connais tu \"\n", + " 'connais tu connais de quoi de quoi '\n", + " \"ah ok j'y suis trΓ¨s drΓ΄le\"},\n", + " { 'transcript': \"ah c'est les Γ©chos tu connais tu \"\n", + " 'connais tu connais de quoi de quoi '\n", + " \"ah ok j'y suis trΓ¨s drΓ΄les\"},\n", + " { 'transcript': \"ah c'est les Γ©chos tu connais tu \"\n", + " 'connais tu connais de quoi de quoi '\n", + " \"ah ok j'y suis les Γ©chos trΓ¨s \"\n", + " 'drΓ΄les'}],\n", + " 'final': True}\n" + ] + } + ], + "source": [ + "import time\n", + "t0 = time.time()\n", + "ap = AudioProcessor(configuration, audio_path)\n", + "t1 = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "10740556", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Execution time : 65.41201686859131 seconds.'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Execution time : {} seconds.\".format(t1-t0)" + ] + }, + { + "cell_type": "markdown", + "id": "8d446e99", + "metadata": {}, + "source": [ + "To write all the results properly.. :)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "cb526782", + "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", + "
genderstartendtranscription
0male0.323.06NoΓ«l c'est comme les frites c'est quand on veut
1female5.146.60bonjour c'est nous les Tuche
2male6.607.90donc c'est nous les Tuche
3female7.9013.60exactement c'est le moment de prΓ©parer NoΓ«l en famille
4male13.6014.92dis-moi ce qui se passe je voudrais
5female14.9224.32dis-moi ce qui se passe quand je voudrais que ma sœur soit il a aussi problème tous les deux là pour des conneries il y a 10 ans
6male24.3234.86il y a 10 ans alors marteau tu as toujours ton travail je me rΓ©gale ces magasins
7male38.7240.62qu'est-ce que je disais dΓ©jΓ 
8female40.6242.36je vois j'Γ©coutais pas Γ§a va
9male42.3643.60Γ§a va Γͺtre long
10male49.5252.00il y a plus d'usine des jouets devant vous vendez Γ  qui
11male54.7058.62les gros gagne les petits meurent vous Γͺtes dans la deuxiΓ¨me catΓ©gorie dΓ©solΓ©
12male60.2477.70j'ai une proposition Γ  vous faire voilΓ  mon plan racheter limarolles et fabriquer des jouets en bois qu'est-ce que tu voulais avoir toi tu veux des clous il fabrique un jouet que nous n'avons pas vous pourriez appeler l'inspection du travail lΓ  vous travaillez monsieur Tuche non je travaille pas je suis pas trop vous avez dΓ©jΓ  vu un patron qui travaille vous
13male85.5695.32ah c'est les échos tu connais tu connais tu connais de quoi de quoi ah ok j'y suis très drôle
\n", + "
" + ], + "text/plain": [ + " gender start end \\\n", + "0 male 0.32 3.06 \n", + "1 female 5.14 6.60 \n", + "2 male 6.60 7.90 \n", + "3 female 7.90 13.60 \n", + "4 male 13.60 14.92 \n", + "5 female 14.92 24.32 \n", + "6 male 24.32 34.86 \n", + "7 male 38.72 40.62 \n", + "8 female 40.62 42.36 \n", + "9 male 42.36 43.60 \n", + "10 male 49.52 52.00 \n", + "11 male 54.70 58.62 \n", + "12 male 60.24 77.70 \n", + "13 male 85.56 95.32 \n", + "\n", + " transcription \n", + "0 NoΓ«l c'est comme les frites c'est quand on veut \n", + "1 bonjour c'est nous les Tuche \n", + "2 donc c'est nous les Tuche \n", + "3 exactement c'est le moment de prΓ©parer NoΓ«l en famille \n", + "4 dis-moi ce qui se passe je voudrais \n", + "5 dis-moi ce qui se passe quand je voudrais que ma sΕ“ur soit il a aussi problΓ¨me tous les deux lΓ  pour des conneries il y a 10 ans \n", + "6 il y a 10 ans alors marteau tu as toujours ton travail je me rΓ©gale ces magasins \n", + "7 qu'est-ce que je disais dΓ©jΓ  \n", + "8 je vois j'Γ©coutais pas Γ§a va \n", + "9 Γ§a va Γͺtre long \n", + "10 il y a plus d'usine des jouets devant vous vendez Γ  qui \n", + "11 les gros gagne les petits meurent vous Γͺtes dans la deuxiΓ¨me catΓ©gorie dΓ©solΓ© \n", + "12 j'ai une proposition Γ  vous faire voilΓ  mon plan racheter limarolles et fabriquer des jouets en bois qu'est-ce que tu voulais avoir toi tu veux des clous il fabrique un jouet que nous n'avons pas vous pourriez appeler l'inspection du travail lΓ  vous travaillez monsieur Tuche non je travaille pas je suis pas trop vous avez dΓ©jΓ  vu un patron qui travaille vous \n", + "13 ah c'est les Γ©chos tu connais tu connais tu connais de quoi de quoi ah ok j'y suis trΓ¨s drΓ΄le " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "pd.set_option('display.max_colwidth', None) # To see the whole transcription\n", + "\n", + "ap.full_dataframe()" + ] + }, + { + "cell_type": "markdown", + "id": "3d627dd7", + "metadata": {}, + "source": [ + "## Do the same with English\n", + "Let's analyse..." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "68c95c97", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MoviePy - Writing audio in C:\\Users\\chloe\\Documents\\DATAFORGOOD\\bechdelai\\tutorials\\drafts\\Letitia Wright reacts to Shuri getting snapped by Thanos LIVE from the Avengers Endgame Premiere.wav\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MoviePy - Done.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r" + ] + } + ], + "source": [ + "video_url_en = \"https://www.youtube.com/watch?v=9nusLMvCTsI\" # Interview Laetitia Wright\n", + "video_path_en = get_youtube(video_url_en)\n", + "utils.extract_audio_from_movie(video_path_en)\n", + "audio_path_en = video_path_en.split(sep='.')[0] + '.wav'\n", + "configuration_en = config.Config()\n", + "configuration_en.select_profile(option=\"US\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c7e4d37c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "167/167 - 3s - 3s/epoch - 21ms/step\n", + "167/167 - 7s - 7s/epoch - 43ms/step\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.94617063,\n", + " 'transcript': \"oh my gosh she is here but it's \"\n", + " 'alright how are you doing this '\n", + " \"evening very well I'm coming here I \"\n", + " \"don't know what to expect but I'm \"\n", + " 'having a good time already ok we '\n", + " 'have to talk some tea right now '\n", + " 'which is we saw the posters there '\n", + " 'was an outcry what was it like for '\n", + " 'you it was it was surprising I saw '\n", + " 'everybody in like you know the '\n", + " 'coloured photos in a coloured '\n", + " \"posters and then it's all my stuff \"\n", + " 'in grey and I was like you I just '\n", + " 'died'},\n", + " { 'transcript': \"oh my gosh Shirley is here but it's \"\n", + " 'alright how are you doing this '\n", + " \"evening very well I'm coming here I \"\n", + " \"don't know what to expect but I'm \"\n", + " 'having a good time already ok we '\n", + " 'have to talk some tea right now '\n", + " 'which is we saw the posters there '\n", + " 'was an outcry what was it like for '\n", + " 'you it was it was surprising I saw '\n", + " 'everybody in like you know the '\n", + " 'coloured photos in a coloured '\n", + " 'posters and it is all my stuff in '\n", + " 'grey and I was like you I just died'},\n", + " { 'transcript': \"oh my gosh she is here but it's \"\n", + " 'alright how are you doing this '\n", + " \"evening very well I'm coming here I \"\n", + " \"don't know what to expect but I'm \"\n", + " 'having a good time already ok we got '\n", + " 'to talk some tea right now which is '\n", + " 'we saw the posters there was an '\n", + " 'outcry what was it like for you it '\n", + " 'was it was surprising I saw '\n", + " 'everybody in like you know the '\n", + " 'coloured photos in her coloured '\n", + " \"posters and then it's all my stuff \"\n", + " 'in grey and I was like you I just '\n", + " 'died'},\n", + " { 'transcript': \"oh my gosh Shirley is here but it's \"\n", + " 'alright how are you doing this '\n", + " \"evening very well I'm coming here I \"\n", + " \"don't know what to expect but I'm \"\n", + " 'having a good time already ok we '\n", + " 'have to talk some tea right now '\n", + " 'which is we saw the posters there '\n", + " 'was an outcry what was it like for '\n", + " 'you it was it was surprising I saw '\n", + " 'everybody in like you know the '\n", + " 'coloured photos in a coloured '\n", + " 'posters and myself in grey and I was '\n", + " 'like you I just died'},\n", + " { 'transcript': \"oh my gosh Shirley is here but it's \"\n", + " 'alright how are you doing this '\n", + " \"evening very well I'm coming here I \"\n", + " \"don't know what to expect but I'm \"\n", + " 'having a good time already ok we got '\n", + " 'to talk some tea right now which is '\n", + " 'we saw the posters there was an '\n", + " 'outcry what was it like for you it '\n", + " 'was it was surprising I saw '\n", + " 'everybody in like you know the '\n", + " 'coloured photos in a coloured '\n", + " \"posters and then it's all my stuff \"\n", + " 'in grey and I was like you I just '\n", + " 'died'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.95060402,\n", + " 'transcript': 'I just died out of nowhere and I '\n", + " 'think the whole of Twitter was '\n", + " 'really upset so I cannot log off and '\n", + " 'then log back on some waiting to see '\n", + " 'how that came together and have that '\n", + " 'planned out tonight thank you'},\n", + " { 'transcript': 'I just died out of nowhere and I '\n", + " 'think the whole of Twitter was '\n", + " 'really upset so I cannot log off and '\n", + " 'then log back on some waiting to see '\n", + " 'how that came together and have that '\n", + " 'kind out tonight we love you thank '\n", + " 'you'},\n", + " { 'transcript': 'I just died out of nowhere and I '\n", + " 'think the whole of Twitter was '\n", + " 'really upset so I cannot log off and '\n", + " 'then log back on some waiting to see '\n", + " 'how that came together and have that '\n", + " 'kind out tonight thank you'},\n", + " { 'transcript': 'I just died out of nowhere and I '\n", + " 'think the whole of Twitter was '\n", + " 'really upset so I cannot log off and '\n", + " 'then log back on some waiting to see '\n", + " 'how that came together and have that '\n", + " 'kind out tonight love you thank you'},\n", + " { 'transcript': 'I just died out of nowhere and I '\n", + " 'think the whole of Twitter was '\n", + " 'really upset so I cannot log off and '\n", + " 'then log back on some waiting to see '\n", + " 'how that came together and how that '\n", + " 'planned out tonight thank you'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.93798029,\n", + " 'transcript': \"surprised to know that you're even \"\n", + " \"though it wasn't top the other black \"\n", + " 'panther to be one of the favourite '\n", + " 'coming at the other end of the film'},\n", + " { 'transcript': \"surprised to know that you're even \"\n", + " \"though it wasn't top the other black \"\n", + " 'panther to be one of the favourite '\n", + " 'coming out the other end of the '\n", + " 'film'},\n", + " { 'transcript': \"surprised to know that you're even \"\n", + " \"though it wasn't top the other black \"\n", + " 'panther to be one of the fibres '\n", + " 'coming out the other end of the '\n", + " 'film'},\n", + " { 'transcript': \"surprised to know that you're even \"\n", + " \"though it wasn't top the other black \"\n", + " 'panther to be one of the favourites '\n", + " 'coming at the other end of the film'},\n", + " { 'transcript': \"surprised to know that you're even \"\n", + " \"though I wasn't top the other black \"\n", + " 'panther to be one of the favourite '\n", + " 'coming at the other end of the '\n", + " 'film'}],\n", + " 'final': True}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92333227,\n", + " 'transcript': 'is coming up the major surprise one '\n", + " 'that I thank God for his just I want '\n", + " 'to set everyday wanting to give my '\n", + " 'best ones in to work hard and to see '\n", + " 'that'},\n", + " { 'transcript': 'what is coming up the major surprise '\n", + " 'one that I thank God for his just I '\n", + " 'want to set everyday wanting to give '\n", + " 'my best ones in to work hard and to '\n", + " 'see that'},\n", + " { 'transcript': 'is coming up the major surprise one '\n", + " 'that I thank God for his just I went '\n", + " 'to set everyday wanting to give my '\n", + " 'best ones into work hard and to see '\n", + " 'that'},\n", + " { 'transcript': 'what is coming up to the major '\n", + " 'surprise one that I thank God for '\n", + " 'his just I want to set everyday '\n", + " 'wanting to give my best ones in to '\n", + " 'work hard and to see that'},\n", + " { 'transcript': 'is coming up to the major surprise '\n", + " 'one that I thank God for his just I '\n", + " 'want to set everyday wanting to give '\n", + " 'my best ones in to work hard and to '\n", + " 'see that'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.92210746,\n", + " 'transcript': 'see that that result in that love '\n", + " \"you know I didn't expect it\"},\n", + " { 'transcript': 'see that that result in that love '\n", + " \"you no I didn't expect it\"},\n", + " { 'transcript': 'I see that that result in that love '\n", + " \"you know I didn't expect it\"},\n", + " { 'transcript': 'I see that that result in that love '\n", + " \"you no I didn't expect it\"},\n", + " { 'transcript': 'see that that result in that loves '\n", + " \"you know I didn't expect it\"}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.95232391,\n", + " 'transcript': 'expect it but I thank God for it and '\n", + " 'now I feel a part of the family so '\n", + " \"hopefully you know if I don't do \"\n", + " 'this film I want to see what happens '\n", + " 'I might not get some continue work '\n", + " \"let's see what happens well I do \"\n", + " 'know that I love seeing you get to '\n", + " 'team up with the Avengers infinity '\n", + " 'war and I love particularly when '\n", + " 'your school the boys the science '\n", + " 'Bros any chance that true would like '\n", + " 'to hang with those guys just in '\n", + " 'general really good but you know the '\n", + " \"way this film is set up we don't \"\n", + " \"know what's going to happen so let's \"\n", + " 'watch it'},\n", + " { 'transcript': 'expect it but I thank God for it and '\n", + " 'now I feel a part of the family so '\n", + " \"hopefully you know if I don't do \"\n", + " 'this film I want to see what happens '\n", + " 'I might not get some continue work '\n", + " \"let's see what happens well I do \"\n", + " 'know that I love seeing you get to '\n", + " 'team up with the Avengers infinity '\n", + " 'war and I love particularly when '\n", + " 'your school the boys the science '\n", + " 'Bros any chance that through would '\n", + " 'like to hang with those guys just in '\n", + " 'general really good but you know the '\n", + " \"way this film is set up we don't \"\n", + " \"know what's going to happen so let's \"\n", + " 'watch it'},\n", + " { 'transcript': 'expect it but I thank God for it and '\n", + " 'now I feel a part of the family so '\n", + " \"hopefully you'll know if I don't do \"\n", + " 'this film I want to see what happens '\n", + " 'I might not get some continue work '\n", + " \"let's see what happens well I do \"\n", + " 'know that I love seeing you get to '\n", + " 'team up with the Avengers infinity '\n", + " 'war and I love particularly when '\n", + " 'your school the boys the science '\n", + " 'Bros any chance that true would like '\n", + " 'to hang with those guys just in '\n", + " 'general really good but you know the '\n", + " \"way this film is set up we don't \"\n", + " \"know what's going to happen so let's \"\n", + " 'watch it'},\n", + " { 'transcript': 'expect it but thank god for it and '\n", + " 'now I feel a part of the family so '\n", + " \"hopefully you know if I don't do \"\n", + " 'this film I want to see what happens '\n", + " 'I might not get some continue work '\n", + " \"let's see what happens well I do \"\n", + " 'know that I love seeing you get to '\n", + " 'team up with the Avengers infinity '\n", + " 'war and I love particularly when '\n", + " 'your school the boys the science '\n", + " 'Bros any chance that true would like '\n", + " 'to hang with those guys just in '\n", + " 'general really good but you know the '\n", + " \"way this film is set up we don't \"\n", + " \"know what's going to happen so let's \"\n", + " 'watch it'},\n", + " { 'transcript': 'expect it but thank god for it and '\n", + " 'now I feel a part of the family so '\n", + " \"hopefully you know if I don't do \"\n", + " 'this film I want to see what happens '\n", + " 'I might not get some continue work '\n", + " \"let's see what happens well I do \"\n", + " 'know that I love seeing you get to '\n", + " 'team up with the Avengers infinity '\n", + " 'war and I love particularly when '\n", + " 'your school the boys the science '\n", + " 'Bros any chance that through would '\n", + " 'like to hang with those guys just in '\n", + " 'general really good but you know the '\n", + " \"way this film is set up we don't \"\n", + " \"know what's going to happen so let's \"\n", + " 'watch it'}],\n", + " 'final': True}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.91882193,\n", + " 'transcript': 'it was only 6'},\n", + " {'transcript': 'it was only six'},\n", + " {'transcript': 'it was only fix'},\n", + " {'transcript': 'it was only folks'},\n", + " {'transcript': 'it was only fixed'}],\n", + " 'final': True}\n", + "result2:\n", + "{ 'alternative': [ { 'confidence': 0.94119203,\n", + " 'transcript': '6 fingers crossed and see what the '\n", + " 'Russo Brothers looked up for us and '\n", + " 'yeah hopefully hopefully in the '\n", + " 'future we can sit down with these '\n", + " 'guys you know'},\n", + " { 'transcript': 'six fingers crossed and see what the '\n", + " 'Russo Brothers looked up for us and '\n", + " 'yeah hopefully hopefully in the '\n", + " 'future we can sit down with these '\n", + " 'guys you know'},\n", + " { 'transcript': '6 fingers crossed and see what the '\n", + " 'Russo Brothers have cooked up for us '\n", + " 'and yeah hopefully hopefully in the '\n", + " 'future we can sit down with these '\n", + " 'guys you know'},\n", + " { 'transcript': 'six fingers crossed and see what the '\n", + " 'Russo brothers are cooked up for us '\n", + " 'and yeah hopefully hopefully in the '\n", + " 'future we can sit down with these '\n", + " 'guys you know'},\n", + " { 'transcript': '6 fingers crossed and see what the '\n", + " 'Russo Brothers looked up for us and '\n", + " 'yeah hopefully will be in the future '\n", + " 'we can sit down with these guys you '\n", + " 'know'}],\n", + " 'final': True}\n" + ] + } + ], + "source": [ + "t0 = time.time()\n", + "ap_en = AudioProcessor(configuration_en, audio_path_en)\n", + "t1 = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "4afd78f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Execution time : 33.121073722839355 seconds.'" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Execution time : {} seconds.\".format(t1-t0)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "594f6020", + "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", + "
genderstartendtranscription
0female0.0029.48oh my gosh she is here but it's alright how are you doing this evening very well I'm coming here I don't know what to expect but I'm having a good time already ok we have to talk some tea right now which is we saw the posters there was an outcry what was it like for you it was it was surprising I saw everybody in like you know the coloured photos in a coloured posters and then it's all my stuff in grey and I was like you I just died
1female30.1444.60I just died out of nowhere and I think the whole of Twitter was really upset so I cannot log off and then log back on some waiting to see how that came together and have that planned out tonight thank you
2male44.6052.62surprised to know that you're even though it wasn't top the other black panther to be one of the favourite coming at the other end of the film
3female52.6261.14is coming up the major surprise one that I thank God for his just I want to set everyday wanting to give my best ones in to work hard and to see that
4female61.6264.88see that that result in that love you know I didn't expect it
5female65.3498.66expect it but I thank God for it and now I feel a part of the family so hopefully you know if I don't do this film I want to see what happens I might not get some continue work let's see what happens well I do know that I love seeing you get to team up with the Avengers infinity war and I love particularly when your school the boys the science Bros any chance that true would like to hang with those guys just in general really good but you know the way this film is set up we don't know what's going to happen so let's watch it
6female99.36100.42it was only 6
7female100.92109.286 fingers crossed and see what the Russo Brothers looked up for us and yeah hopefully hopefully in the future we can sit down with these guys you know
\n", + "
" + ], + "text/plain": [ + " gender start end \\\n", + "0 female 0.00 29.48 \n", + "1 female 30.14 44.60 \n", + "2 male 44.60 52.62 \n", + "3 female 52.62 61.14 \n", + "4 female 61.62 64.88 \n", + "5 female 65.34 98.66 \n", + "6 female 99.36 100.42 \n", + "7 female 100.92 109.28 \n", + "\n", + " transcription \n", + "0 oh my gosh she is here but it's alright how are you doing this evening very well I'm coming here I don't know what to expect but I'm having a good time already ok we have to talk some tea right now which is we saw the posters there was an outcry what was it like for you it was it was surprising I saw everybody in like you know the coloured photos in a coloured posters and then it's all my stuff in grey and I was like you I just died \n", + "1 I just died out of nowhere and I think the whole of Twitter was really upset so I cannot log off and then log back on some waiting to see how that came together and have that planned out tonight thank you \n", + "2 surprised to know that you're even though it wasn't top the other black panther to be one of the favourite coming at the other end of the film \n", + "3 is coming up the major surprise one that I thank God for his just I want to set everyday wanting to give my best ones in to work hard and to see that \n", + "4 see that that result in that love you know I didn't expect it \n", + "5 expect it but I thank God for it and now I feel a part of the family so hopefully you know if I don't do this film I want to see what happens I might not get some continue work let's see what happens well I do know that I love seeing you get to team up with the Avengers infinity war and I love particularly when your school the boys the science Bros any chance that true would like to hang with those guys just in general really good but you know the way this film is set up we don't know what's going to happen so let's watch it \n", + "6 it was only 6 \n", + "7 6 fingers crossed and see what the Russo Brothers looked up for us and yeah hopefully hopefully in the future we can sit down with these guys you know " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ap_en.full_dataframe()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bf50120", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}