upaaete

internet_ml/tools/NLP/data/internet.py

@@ -1,4 +1,5 @@
-from typing import Any, Dict, List
+#type: ignore
+from typing import Any, Dict, List, Tuple
 
 import asyncio
 import logging
@@ -23,7 +24,8 @@ logging.basicConfig(
 import sys
 from pathlib import Path
 
-sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
+sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils/NLP")
+sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils")
 import config
 
 sys.path.append(str(Path(__file__).parent.parent))
@@ -59,9 +61,10 @@ URL_EXTRACTOR = URLExtract()
 # Load the cache from the file (if it exists)
 try:
     with open(CACHE_FILE_PATH, "rb") as f:
-        cache = pickle.load(f)
+        cache: Any = pickle.load(f)
 except FileNotFoundError:
-    cache = {}
+    cache: Any = {}
+
 
 # Define the fetch_url function
 async def fetch_url(session: aiohttp.ClientSession, url: str) -> str:
@@ -87,11 +90,13 @@ async def google_urls(query: str, links: list[str]) -> list[str]:
 
     # Determine the number of results to retrieve based on the configuration mode
     num_of_res: int = (
-        5 if config.CONF_MODE == "speed" else (20 if config.CONF_MODE else 10)
+        5
+        if config.NLP_CONF_MODE == "speed"
+        else (20 if config.NLP_CONF_MODE == "accuracy" else 10)
     )
 
     # Log the number of results wanted (if debugging is enabled)
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(f"number of results wanted: {num_of_res}")
 
     # Construct the search URL
@@ -103,7 +108,7 @@ async def google_urls(query: str, links: list[str]) -> list[str]:
     )
 
     # Log the search URL (if debugging is enabled)
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(f"url: {search_url}")
 
     # Create an aiohttp session and use it to fetch the search results
@@ -126,7 +131,7 @@ async def google_urls(query: str, links: list[str]) -> list[str]:
                 not any(url.startswith(s) for s in UNWANTED_DOMAINS)
             ):
                 urls.append(url)
-                if config.CONF_DEBUG:
+                if config.NLP_CONF_DEBUG:
                     logging.info(f"added {url}")
             if len(urls) == num_of_res:
                 break
@@ -151,7 +156,7 @@ async def fetch_url_text(
         async with session.get(url, headers=HTTP_USERAGENT) as response:
             soup: BeautifulSoup = BeautifulSoup(await response.text(), "html.parser")
             text = normalizer(soup.get_text())
-            if config.CONF_DEBUG:
+            if config.NLP_CONF_DEBUG:
                 logging.info(f"Text: {text}")
             sentences: list[str] = sentencizer(text)
             sentences = filter_irrelevant(sentences, query)
@@ -181,38 +186,36 @@ async def get_text_content(urls: list[str], query: str) -> list[str]:
     return sentences
 
 
-def google(query: str) -> list[str]:
+def google(query: str) -> Tuple[List[str], str]:
     global cache, CACHE_FILE_PATH, CACHE_TIME, URL_EXTRACTOR
     links_in_text: list[str] = URL_EXTRACTOR.find_urls(query)
     query = re.sub(r"\w+:\/{2}[\d\w-]+(\.[\d\w-]+)*(?:(?:\/[^\s/]*))*", "", query)
     entry = cache.get(query)
     if entry is None:
         # no query exists, so add a new entry to the cache
-        text = asyncio.run(
+        urls: List[str] = asyncio.run(google_urls(query, links_in_text))
-            get_text_content(asyncio.run(google_urls(query, links_in_text)), query)
+        text: str = str(asyncio.run(get_text_content(urls, query)))
-        )
+        cache[query]: Tuple[Tuple[List[str], str], int] = (
-        cache[query] = (text, time.time() + CACHE_TIME)  # cache expires in one hour
+            (text, urls),
+            time.time() + CACHE_TIME,
+        )  # cache expires in one hour
     elif entry[1] < time.time():
         # update as it expired
-        text = asyncio.run(
+        urls: List[str] = asyncio.run(google_urls(query, links_in_text))
-            get_text_content(asyncio.run(google_urls(query, links_in_text)), query)
+        text: str = str(asyncio.run(get_text_content(urls, query)))
-        )
+        cache[query]: Tuple[Tuple[List[str], str], int] = (
-        cache[query] = (text, time.time() + CACHE_TIME)  # cache expires in one hour
+            (text, urls),
+            time.time() + CACHE_TIME,
+        )  # cache expires in one hour
     else:
         # available so return it
-        text = entry[0]
+        text: List[str] = entry[0][0]
+        urls: str = entry[0][1]
     # Save the cache to the file
     with open(CACHE_FILE_PATH, "wb") as f:
         pickle.dump(cache, f)
     # Return the text
-    return text
+    return (text, urls)
-
-
-print(
-    google(
-        "who is lionel messi https://en.wikipedia.org/wiki/Lionel_Messi https://en.wikipedia.org/wiki/Cristiano_Ronaldo https://www.instagram.com/leomessi/?hl=en"
-    )
-)
 
 
 """

internet_ml/tools/NLP/ml/dataset/README.md

@@ -0,0 +1,6 @@
+# Datasets
+
+I will be using a combination of
+
+- CoQA (unmodified)
+- Natural Questions (modified to make context from answer)

internet_ml/tools/NLP/ml/dataset/long_QA.py

@@ -0,0 +1,11 @@
+import datasets
+from typing import Any
+
+CoQA: Any = datasets.load_dataset("coqa")
+DATASET: List[Any] = []
+
+def coqa():
+    global CoQA, DATASET
+    for story in CoQA["train"]:
+        for question, answer in story["questions"], story["answers"]:
+            

internet_ml/tools/NLP/normalize.py

@@ -18,12 +18,13 @@ import tokenizers
 from tokenizers.normalizers import NFKD, Lowercase, Strip, StripAccents
 
 # Add utils directory to path
-sys.path.append(str(Path(__file__).parent.parent) + "/utils")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils/NLP")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
 import config
 
 # Define normalization sequence
 NORMALIZER_SEQ: tokenizers.normalizers.Sequence = tokenizers.normalizers.Sequence(
-    [NFKD(), Strip(), StripAccents()]
+    [Lowercase(), NFKD(), Strip(), StripAccents()]
 )
 
 
@@ -66,7 +67,7 @@ def normalizer(text: str) -> str:
         .replace("               ", " ")
     )
     text = remove_non_ascii(text)
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(text)
     return text
 

internet_ml/tools/NLP/sentencize.py

@@ -14,7 +14,8 @@ import sys
 from pathlib import Path
 
 # Add utils directory to path
-sys.path.append(str(Path(__file__).parent.parent) + "/utils")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils/NLP")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
 import concurrent.futures
 
 import config
@@ -53,7 +54,7 @@ def sentencizer(text: str) -> list[str]:
         for future in concurrent.futures.as_completed(futures):
             english_sentences.append(future.result())
 
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(f"sentences: {english_sentences}")
     return english_sentences
 

internet_ml/utils/config.py

@@ -1,5 +1,3 @@
-import typing
-
 import logging
 
 logging.basicConfig(
@@ -10,16 +8,16 @@ logging.basicConfig(
 )
 
 # Global
-CONF_DEBUG: bool = True
+NLP_CONF_DEBUG: bool = True
 # NLP
-CONF_MODE: str = "default"
+NLP_CONF_MODE: str = "default"
 
 
 def NLP_config(mode: str = "default", debug: bool = True) -> None:
     global conf_MODE, conf_DEBUG
-    CONF_DEBUG = debug
+    NLP_CONF_DEBUG = debug
     if mode == "accuracy" or mode == "speed":
-        CONF_MODE = mode
+        NLP_CONF_MODE = mode
     else:
-        if CONF_DEBUG:
+        if NLP_CONF_DEBUG:
             logging.warn(f"mode: {mode} does not exist")

poetry.lock

@@ -153,6 +153,18 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+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 = "astroid"
 version = "2.12.13"
@@ -203,6 +215,17 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
 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 = "audioread"
+version = "3.0.0"
+description = "multi-library, cross-platform audio decoding"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "audioread-3.0.0.tar.gz", hash = "sha256:121995bd207eb1fda3d566beb851d3534275925bc35a4fb6da0cb11de0f7251a"},
+]
+
 [[package]]
 name = "bandit"
 version = "1.7.4"
@@ -273,6 +296,83 @@ files = [
     {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
 ]
 
+[[package]]
+name = "cffi"
+version = "1.15.1"
+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 = "cfgv"
 version = "3.3.1"
@@ -453,6 +553,7 @@ aiohttp = "*"
 dill = "<0.3.7"
 fsspec = {version = ">=2021.11.1", extras = ["http"]}
 huggingface-hub = ">=0.2.0,<1.0.0"
+librosa = {version = "*", optional = true, markers = "extra == \"audio\""}
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
@@ -479,6 +580,18 @@ tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
 [[package]]
 name = "diffusers"
 version = "0.11.1"
@@ -889,6 +1002,18 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "joblib"
+version = "1.2.0"
+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 = "lazy-object-proxy"
 version = "1.8.0"
@@ -918,6 +1043,62 @@ files = [
     {file = "lazy_object_proxy-1.8.0-pp39-pypy39_pp73-any.whl", hash = "sha256:ce58b2b3734c73e68f0e30e4e725264d4d6be95818ec0a0be4bb6bf9a7e79aa8"},
 ]
 
+[[package]]
+name = "librosa"
+version = "0.9.2"
+description = "Python module for audio and music processing"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "librosa-0.9.2-py3-none-any.whl", hash = "sha256:322a813e6d37af9fbc369e6a637dcf5fdc5c6925ce806a0d27c68de61a81350f"},
+    {file = "librosa-0.9.2.tar.gz", hash = "sha256:5b576b5efdce428e90bc988bdd5a953d12a727e5f931f30d74c53b63abbe3c89"},
+]
+
+[package.dependencies]
+audioread = ">=2.1.9"
+decorator = ">=4.0.10"
+joblib = ">=0.14"
+numba = ">=0.45.1"
+numpy = ">=1.17.0"
+packaging = ">=20.0"
+pooch = ">=1.0"
+resampy = ">=0.2.2"
+scikit-learn = ">=0.19.1"
+scipy = ">=1.2.0"
+soundfile = ">=0.10.2"
+
+[package.extras]
+display = ["matplotlib (>=3.3.0)"]
+docs = ["ipython (>=7.0)", "matplotlib (>=3.3.0)", "mir-eval (>=0.5)", "numba (<0.50)", "numpydoc", "presets", "sphinx (!=1.3.1)", "sphinx-gallery (>=0.7)", "sphinx-multiversion (>=0.2.3)", "sphinx-rtd-theme (>=1.0.0,<2.0.0)", "sphinxcontrib-svg2pdfconverter"]
+tests = ["contextlib2", "matplotlib (>=3.3.0)", "pytest", "pytest-cov", "pytest-mpl", "samplerate", "soxr"]
+
+[[package]]
+name = "llvmlite"
+version = "0.34.0"
+description = "lightweight wrapper around basic LLVM functionality"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "llvmlite-0.34.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:11342e5ac320c953590bdd9d0dec8c52f4b5252c4c6335ba25f1e7b9f91f9325"},
+    {file = "llvmlite-0.34.0-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:5bdf0ce430adfaf938ced5844d12f80616eb8321b5b9edfc45ef84ada5c5242c"},
+    {file = "llvmlite-0.34.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:e08d9d2dc5a31636bfc6b516d2d7daba95632afa3419eb8730dc76a7951e9558"},
+    {file = "llvmlite-0.34.0-cp36-cp36m-win32.whl", hash = "sha256:9ff1dcdad03be0cf953aca5fc8cffdca25ccee2ec9e8ec7e95571722cdc02d55"},
+    {file = "llvmlite-0.34.0-cp36-cp36m-win_amd64.whl", hash = "sha256:5acdc3c3c7ea0ef7a1a6b442272e05d695bc8492e5b07666135ed1cfbf4ab9d2"},
+    {file = "llvmlite-0.34.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:bb96989bc57a1ccb131e7a0e061d07b68139b6f81a98912345d53d9239e231e1"},
+    {file = "llvmlite-0.34.0-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:6d3f81992f52a94077e7b9b16497029daf5b5eebb2cce56f3c8345bbc9c6308e"},
+    {file = "llvmlite-0.34.0-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:d841248d1c630426c93e3eb3f8c45bca0dab77c09faeb7553b1a500220e362ce"},
+    {file = "llvmlite-0.34.0-cp37-cp37m-win32.whl", hash = "sha256:408b15ffec30696406e821c89da010f1bb1eb0aa572be4561c98eb2536d610ab"},
+    {file = "llvmlite-0.34.0-cp37-cp37m-win_amd64.whl", hash = "sha256:5d1f370bf150db7239204f09cf6a0603292ea28bac984e69b167e16fe160d803"},
+    {file = "llvmlite-0.34.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:132322bc084abf336c80dd106f9357978c8c085911fb656898d3be0d9ff057ea"},
+    {file = "llvmlite-0.34.0-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:8f344102745fceba6eb5bf03c228bb290e9bc79157e9506a4a72878d636f9b3c"},
+    {file = "llvmlite-0.34.0-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:05253f3f44fab0148276335b2c1b2c4a78143dfa78e6bafd7f937d6248f297cc"},
+    {file = "llvmlite-0.34.0-cp38-cp38-win32.whl", hash = "sha256:28264f9e2b3df4135cbcfca5a91c5b0b31dd3fc02fa623b4bb13327f0cd4fc80"},
+    {file = "llvmlite-0.34.0-cp38-cp38-win_amd64.whl", hash = "sha256:964f8f7a2184963cb3617d057c2382575953e488b7bb061b632ee014cfef110a"},
+    {file = "llvmlite-0.34.0.tar.gz", hash = "sha256:f03ee0d19bca8f2fe922bb424a909d05c28411983b0c2bc58b020032a0d11f63"},
+]
+
 [[package]]
 name = "markdown"
 version = "3.3.7"
@@ -1224,6 +1405,37 @@ files = [
 [package.dependencies]
 setuptools = "*"
 
+[[package]]
+name = "numba"
+version = "0.51.2"
+description = "compiling Python code using LLVM"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "numba-0.51.2-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:af798310eeb318c56cdb83254abbe9a938cc0182d08671d7f9f032dc817e064d"},
+    {file = "numba-0.51.2-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:93e18350f2094e7432321c1275730a3143b94af012fb609cc180fa376c44867f"},
+    {file = "numba-0.51.2-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:9e2bb1f129bfadd757ad7a9c18ab79c3ab25ce6d6a68e58565d6c52ad07b3566"},
+    {file = "numba-0.51.2-cp36-cp36m-win32.whl", hash = "sha256:31cdf6b6d1301d5fb6c4fcb8b4c711ba5c9f60ba2fca008b550da9b56185367c"},
+    {file = "numba-0.51.2-cp36-cp36m-win_amd64.whl", hash = "sha256:df6edca13c04a31fdb5addf5205199478a7da372712829157ef491e8a6e7031f"},
+    {file = "numba-0.51.2-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:a628122dacfcba9a3ea68a9e95578c6b6391016e34962c46550ea8e189e0412e"},
+    {file = "numba-0.51.2-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:106736d5a8dab6bebce989d4ab1b3f169c264582598f172e6e5b736210d2e834"},
+    {file = "numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:a12f16fdb4ca5edc94e2ef412e4e768c29217ef9b6fdfc237d064ebe30acfe14"},
+    {file = "numba-0.51.2-cp37-cp37m-win32.whl", hash = "sha256:025b033fd31c44bba17802293c81270084b5454b5b055b8c10c394385c232f00"},
+    {file = "numba-0.51.2-cp37-cp37m-win_amd64.whl", hash = "sha256:081788f584fa500339e9b74bf02e3c5029d408c114e555ada19cae0b92721416"},
+    {file = "numba-0.51.2-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:5416b584183fd599afda11b947b64f89450fcf26a9c15b408167f412b98a3a94"},
+    {file = "numba-0.51.2-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:05da65dca2ac28a192c9d8f20e9e477eb1237205cfc4d131c414f5f8092c6639"},
+    {file = "numba-0.51.2-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:aee435e3b7e465dd49971f8ea76aa414532a87736916cb399534e017334d1138"},
+    {file = "numba-0.51.2-cp38-cp38-win32.whl", hash = "sha256:bbbe2432433b11d3fadab0226a84c1a81918cb905ba1aeb022249e8d2ba8856c"},
+    {file = "numba-0.51.2-cp38-cp38-win_amd64.whl", hash = "sha256:259e7c15b24feec4a99fb41eb8c47b5ad49b544d1a5ad40ad0252ef531ba06fd"},
+    {file = "numba-0.51.2.tar.gz", hash = "sha256:16bd59572114adbf5f600ea383880d7b2071ae45477e84a24994e089ea390768"},
+]
+
+[package.dependencies]
+llvmlite = ">=0.34.0.dev0,<0.35"
+numpy = ">=1.15"
+setuptools = "*"
+
 [[package]]
 name = "numpy"
 version = "1.24.0"
@@ -1521,6 +1733,28 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "pooch"
+version = "1.6.0"
+description = "\"Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks.\""
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "pooch-1.6.0-py3-none-any.whl", hash = "sha256:3bf0e20027096836b8dbce0152dbb785a269abeb621618eb4bdd275ff1e23c9c"},
+    {file = "pooch-1.6.0.tar.gz", hash = "sha256:57d20ec4b10dd694d2b05bb64bc6b109c6e85a6c1405794ce87ed8b341ab3f44"},
+]
+
+[package.dependencies]
+appdirs = ">=1.3.0"
+packaging = ">=20.0"
+requests = ">=2.19.0"
+
+[package.extras]
+progress = ["tqdm (>=4.41.0,<5.0.0)"]
+sftp = ["paramiko (>=2.7.0)"]
+xxhash = ["xxhash (>=1.4.3)"]
+
 [[package]]
 name = "pre-commit"
 version = "2.20.0"
@@ -1618,6 +1852,18 @@ files = [
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[[package]]
+name = "pycparser"
+version = "2.21"
+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 = "pydocstyle"
 version = "6.1.1"
@@ -1997,6 +2243,27 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "resampy"
+version = "0.3.1"
+description = "Efficient signal resampling"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "resampy-0.3.1-py3-none-any.whl", hash = "sha256:b09066c8f0eb0418d59963aca23b79b52d0ace0b8a6de0fce082e6771f7c3f68"},
+    {file = "resampy-0.3.1.tar.gz", hash = "sha256:7ed185b0912e1d913902a6a1ff7e3b8d977eb5bdd5663012276512ef09a8f701"},
+]
+
+[package.dependencies]
+numba = ">=0.47"
+numpy = ">=1.17"
+
+[package.extras]
+design = ["optuna (>=2.10.0)"]
+docs = ["numpydoc", "sphinx (!=1.3.1)"]
+tests = ["pytest (<8)", "pytest-cov", "scipy (>=1.0)"]
+
 [[package]]
 name = "responses"
 version = "0.18.0"
@@ -2123,6 +2390,88 @@ setuptools = ">=19.3"
 github = ["jinja2 (>=3.1.0)", "pygithub (>=1.43.3)"]
 gitlab = ["python-gitlab (>=1.3.0)"]
 
+[[package]]
+name = "scikit-learn"
+version = "1.2.0"
+description = "A set of python modules for machine learning and data mining"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "scikit-learn-1.2.0.tar.gz", hash = "sha256:680b65b3caee469541385d2ca5b03ff70408f6c618c583948312f0d2125df680"},
+    {file = "scikit_learn-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1beaa631434d1f17a20b1eef5d842e58c195875d2bc11901a1a70b5fe544745b"},
+    {file = "scikit_learn-1.2.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d395730f26d8fc752321f1953ddf72647c892d8bed74fad4d7c816ec9b602dfa"},
+    {file = "scikit_learn-1.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd3480c982b9e616b9f76ad8587804d3f4e91b4e2a6752e7dafb8a2e1f541098"},
+    {file = "scikit_learn-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:184a42842a4e698ffa4d849b6019de50a77a0aa24d26afa28fa49c9190bb144b"},
+    {file = "scikit_learn-1.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:867023a044fdfe59e5014a7fec7a3086a8928f10b5dce9382eedf4135f6709a2"},
+    {file = "scikit_learn-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5546a8894a0616e92489ef995b39a0715829f3df96e801bb55cbf196be0d9649"},
+    {file = "scikit_learn-1.2.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:bc7073e025b62c1067cbfb76e69d08650c6b9d7a0e7afdfa20cb92d4afe516f6"},
+    {file = "scikit_learn-1.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc0a72237f0c56780cf550df87201a702d3bdcbbb23c6ef7d54c19326fa23f19"},
+    {file = "scikit_learn-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e1ea0bc1706da45589bcf2490cde6276490a1b88f9af208dbb396fdc3a0babf"},
+    {file = "scikit_learn-1.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:f17420a8e3f40129aeb7e0f5ee35822d6178617007bb8f69521a2cefc20d5f00"},
+    {file = "scikit_learn-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:25ba705ee1600ffc5df1dccd8fae129d7c6836e44ffcbb52d78536c9eaf8fcf9"},
+    {file = "scikit_learn-1.2.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:6b63ca2b0643d30fbf9d25d93017ed3fb8351f31175d82d104bfec60cba7bb87"},
+    {file = "scikit_learn-1.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83c772fa8c64776ad769fd764752c8452844307adcf10dee3adcc43988260f21"},
+    {file = "scikit_learn-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0834e4cec2a2e0d8978f39cb8fe1cad3be6c27a47927e1774bf5737ea65ec228"},
+    {file = "scikit_learn-1.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:da29d2e379c396a63af5ed4b671ad2005cd690ac373a23bee5a0f66504e05272"},
+    {file = "scikit_learn-1.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:23a88883ca60c571a06278e4726b3b51b3709cfa4c93cacbf5568b22ba960899"},
+    {file = "scikit_learn-1.2.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:40f3ff68c505cb9d1f3693397c73991875d609da905087e00e7b4477645ec67b"},
+    {file = "scikit_learn-1.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e9535e867281ae6987bb80620ba14cf1649e936bfe45f48727b978b7a2dbe835"},
+    {file = "scikit_learn-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de897720173b26842e21bed54362f5294e282422116b61cd931d4f5d870b9855"},
+    {file = "scikit_learn-1.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:ceb0008f345188aa236e49c973dc160b9ed504a3abd7b321a0ecabcb669be0bd"},
+]
+
+[package.dependencies]
+joblib = ">=1.1.1"
+numpy = ">=1.17.3"
+scipy = ">=1.3.2"
+threadpoolctl = ">=2.0.0"
+
+[package.extras]
+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"
+description = "Fundamental algorithms for scientific computing in Python"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "scipy-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1884b66a54887e21addf9c16fb588720a8309a57b2e258ae1c7986d4444d3bc0"},
+    {file = "scipy-1.9.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:83b89e9586c62e787f5012e8475fbb12185bafb996a03257e9675cd73d3736dd"},
+    {file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a72d885fa44247f92743fc20732ae55564ff2a519e8302fb7e18717c5355a8b"},
+    {file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d01e1dd7b15bd2449c8bfc6b7cc67d630700ed655654f0dfcf121600bad205c9"},
+    {file = "scipy-1.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:68239b6aa6f9c593da8be1509a05cb7f9efe98b80f43a5861cd24c7557e98523"},
+    {file = "scipy-1.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b41bc822679ad1c9a5f023bc93f6d0543129ca0f37c1ce294dd9d386f0a21096"},
+    {file = "scipy-1.9.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:90453d2b93ea82a9f434e4e1cba043e779ff67b92f7a0e85d05d286a3625df3c"},
+    {file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83c06e62a390a9167da60bedd4575a14c1f58ca9dfde59830fc42e5197283dab"},
+    {file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abaf921531b5aeaafced90157db505e10345e45038c39e5d9b6c7922d68085cb"},
+    {file = "scipy-1.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:06d2e1b4c491dc7d8eacea139a1b0b295f74e1a1a0f704c375028f8320d16e31"},
+    {file = "scipy-1.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a04cd7d0d3eff6ea4719371cbc44df31411862b9646db617c99718ff68d4840"},
+    {file = "scipy-1.9.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:545c83ffb518094d8c9d83cce216c0c32f8c04aaf28b92cc8283eda0685162d5"},
+    {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d54222d7a3ba6022fdf5773931b5d7c56efe41ede7f7128c7b1637700409108"},
+    {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cff3a5295234037e39500d35316a4c5794739433528310e117b8a9a0c76d20fc"},
+    {file = "scipy-1.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:2318bef588acc7a574f5bfdff9c172d0b1bf2c8143d9582e05f878e580a3781e"},
+    {file = "scipy-1.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d644a64e174c16cb4b2e41dfea6af722053e83d066da7343f333a54dae9bc31c"},
+    {file = "scipy-1.9.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da8245491d73ed0a994ed9c2e380fd058ce2fa8a18da204681f2fe1f57f98f95"},
+    {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4db5b30849606a95dcf519763dd3ab6fe9bd91df49eba517359e450a7d80ce2e"},
+    {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c68db6b290cbd4049012990d7fe71a2abd9ffbe82c0056ebe0f01df8be5436b0"},
+    {file = "scipy-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:5b88e6d91ad9d59478fafe92a7c757d00c59e3bdc3331be8ada76a4f8d683f58"},
+    {file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"},
+]
+
+[package.dependencies]
+numpy = ">=1.18.5,<1.26.0"
+
+[package.extras]
+dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
+doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
+test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
 [[package]]
 name = "setuptools"
 version = "65.6.3"
@@ -2188,6 +2537,28 @@ files = [
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
 ]
 
+[[package]]
+name = "soundfile"
+version = "0.11.0"
+description = "An audio library based on libsndfile, CFFI and NumPy"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "soundfile-0.11.0-py2.py3-none-any.whl", hash = "sha256:f4e4f832b1958403fb9726eeea54e0ebf1c7fc2599ff296a7ab1ac062f8048c9"},
+    {file = "soundfile-0.11.0-py2.py3-none-macosx_10_9_arm64.macosx_11_0_arm64.whl", hash = "sha256:9e6a62eefad0a7f856cc8f5ede7f1a0c196b65d2901c00fffc74a3d7e81d89c8"},
+    {file = "soundfile-0.11.0-py2.py3-none-macosx_10_9_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:12f66fe9dcddedaa6c808bc3e104fc67fcee59dc64214bf7f43605e69836c497"},
+    {file = "soundfile-0.11.0-py2.py3-none-win32.whl", hash = "sha256:08d9636815692f332e042990d449e79b888d288f0752226d8602e91523a0a29b"},
+    {file = "soundfile-0.11.0-py2.py3-none-win_amd64.whl", hash = "sha256:a4ab6f66ad222d8e144dcb6abc73fbb867c11da2934b677f9b129778a6c65112"},
+    {file = "soundfile-0.11.0.tar.gz", hash = "sha256:931738a1c93e8684c2d3e1d514ac63440ce827ec783ea0a2d3e4730e3dc58c18"},
+]
+
+[package.dependencies]
+cffi = ">=1.0"
+
+[package.extras]
+numpy = ["numpy"]
+
 [[package]]
 name = "stevedore"
 version = "4.1.1"
@@ -2203,6 +2574,18 @@ files = [
 [package.dependencies]
 pbr = ">=2.0.0,<2.1.0 || >2.1.0"
 
+[[package]]
+name = "threadpoolctl"
+version = "3.1.0"
+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 = "timm"
 version = "0.6.12"
@@ -2852,4 +3235,4 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "52676c067ce07045b8f3e73e17877a98b7b7fb2561c17baf7bd0131de46022a0"
+content-hash = "1bbe73b603795c02917f6cb6c74998bde1bfc6ad54964649c84c7df2e32d8cb0"