repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
robotools/fontParts | https://github.com/robotools/fontParts/blob/cb4b90defb59d967d209d254659d7265fc1abd86/Lib/fontParts/fontshell/test.py | Lib/fontParts/fontshell/test.py | from fontParts.test import testEnvironment
from fontParts.fontshell.font import RFont
from fontParts.fontshell.info import RInfo
from fontParts.fontshell.groups import RGroups
from fontParts.fontshell.kerning import RKerning
from fontParts.fontshell.features import RFeatures
from fontParts.fontshell.layer import RLayer... | python | MIT | cb4b90defb59d967d209d254659d7265fc1abd86 | 2026-01-05T07:13:38.892524Z | false |
robotools/fontParts | https://github.com/robotools/fontParts/blob/cb4b90defb59d967d209d254659d7265fc1abd86/Lib/fontParts/fontshell/features.py | Lib/fontParts/fontshell/features.py | import defcon
from fontParts.base import BaseFeatures
from fontParts.fontshell.base import RBaseObject
class RFeatures(RBaseObject, BaseFeatures):
wrapClass = defcon.Features
def _get_text(self):
return self.naked().text
def _set_text(self, value):
self.naked().text = value
| python | MIT | cb4b90defb59d967d209d254659d7265fc1abd86 | 2026-01-05T07:13:38.892524Z | false |
robotools/fontParts | https://github.com/robotools/fontParts/blob/cb4b90defb59d967d209d254659d7265fc1abd86/documentation/source/conf.py | documentation/source/conf.py | # -*- coding: utf-8 -*-
#
# FontParts documentation build configuration file, created by
# sphinx-quickstart on Thu Mar 24 13:04:20 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
#... | python | MIT | cb4b90defb59d967d209d254659d7265fc1abd86 | 2026-01-05T07:13:38.892524Z | false |
robotools/fontParts | https://github.com/robotools/fontParts/blob/cb4b90defb59d967d209d254659d7265fc1abd86/documentation/source/_themes/fontPartsTheme/static/sass2css.py | documentation/source/_themes/fontPartsTheme/static/sass2css.py | # compile sass into css
import os
import os.path
import subprocess
# sass (CSS extension language) compiler
# http://sass-lang.com/install
# install postCSS and autoprixer with:
## npm install -g postcss-cli-simple
## npm install -g autoprefixer
def compileSass(sassPath):
'''
Compile a sass file (and depend... | python | MIT | cb4b90defb59d967d209d254659d7265fc1abd86 | 2026-01-05T07:13:38.892524Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/setup.py | setup.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/allie.py | allie.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/docker.py | docker.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/preprocessing/feature_reduce.py | preprocessing/feature_reduce.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/preprocessing/feature_scale.py | preprocessing/feature_scale.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/preprocessing/transform.py | preprocessing/transform.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/preprocessing/feature_select.py | preprocessing/feature_select.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/preprocessing/load_transformer.py | preprocessing/load_transformer.py | '''
[58.0, 13.0, 36.0, 41.0, 128.0, 15.0, 16.0, 40.0, 162.0, 1.0, 14.0,
30.0, 29.0, 69.0, 80.0, 14.0, 1.0, 58.0, 65.0, 80.0, 60.0, 7.0,
12.0, 5.0, 18.0, 4.0, 139.0, 29.0, 61.0, 25.0, 24.0, 59.0, 0.0,
7.0, 180.0, 0.0, 0.0, 0.0, 6.0, 619.0, 159.0, 1.0, 0.0, 1.0, 5.0,
0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 19.0, 12.0, 0.0, 0.0... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/seed_files.py | tests/seed_files.py |
'''
seed_files.py audio
^^ seed files from command line
'''
import sys, uuid, os, shutil, time, random
import sounddevice as sd
import pandas as pd
import soundfile as sf
import pyautogui, markovify
def audio_record(filename, duration, fs, channels):
print('---------------')
print('recording audio...')... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/unit_test.py | tests/unit_test.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/test.py | tests/test.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/models/text_models/test_tpot_classifier/model/test_tpot_classifier.py | tests/helpers/models/text_models/test_tpot_classifier/model/test_tpot_classifier.py | import numpy as np
import json, pickle
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline, make_union
from sklearn.tree import DecisionTreeClassifier
from tpot.builtins import StackingEstimator
from sklearn.preprocessing import FunctionTransformer
from c... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/models/video_models/test_tpot_classifier/model/test_tpot_classifier.py | tests/helpers/models/video_models/test_tpot_classifier/model/test_tpot_classifier.py | import numpy as np
import json, pickle
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
# NOTE: Make sure that the outcome column is labeled 'target' in the data file
g=json.load(open('test_tpot_classifier.json'))
tpot_data=np.array(g['labels'])
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/models/image_models/test_tpot_classifier/model/test_tpot_classifier.py | tests/helpers/models/image_models/test_tpot_classifier/model/test_tpot_classifier.py | import numpy as np
import json, pickle
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import BernoulliNB
from sklearn.pipeline import make_pipeline
# NOTE: Make sure that the outcome column is labeled 'target' in the data file
g=... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/models/audio_models/test_tpot_classifier/model/test_tpot_classifier.py | tests/helpers/models/audio_models/test_tpot_classifier/model/test_tpot_classifier.py | import numpy as np
import json, pickle
import pandas as pd
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline
from tpot.builtins import OneHotEncoder
# NOTE: Make sure that the outcome column is labeled 'target' in the data... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/video_record/setup.py | tests/helpers/video_record/setup.py | import os
os.system('pip3 install -r requirements.txt') | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/video_record/record.py | tests/helpers/video_record/record.py | import sys, os, cv2, time, readchar, datetime
import soundfile as sf
import sounddevice as sd
import numpy as np
from multiprocessing import Process
import ray, json
import subprocess32 as sp
import pyautogui, shutil, zipfile
from natsort import natsorted
curdir=os.getcwd()
try:
os.mkdir('temp')
os.chdir('temp')
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/tests/helpers/video_record/parallel.py | tests/helpers/video_record/parallel.py | import os
# if just want one:
# os.system('python3 record.py test.avi 30')
# record 30 - can also make this contextual based on date/time
for i in range(30):
os.system("python3 record.py %s 10"%(str(i)+'.avi'))
| python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/seed_test.py | datasets/seed_test.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/download.py | datasets/downloads/download.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/helpers/make_file.py | datasets/downloads/helpers/make_file.py | import os, json
def make_jsonfile(textfile):
g=open(textfile).read()
h=g.split('*')
os.chdir(textfile[0:-3])
for i in range(len(h)):
i1=h[i].find('[')
i2=h[i].find(']')
i3=h[i].find('(')
i4=h[i].find(')')
i5=h[i].find('-')
name=h[i][i1+1:i2]
print(name)
description=h[i][i5:].replace('\n','')
lin... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/setup.py | datasets/downloads/PyDataset/setup.py | #!/usr/bin/env python
# Author: Aziz Alto
# email: iamaziz.alto@gmail.com
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(
name='pydataset',
description=("Provides instant access to many popular datasets right from "
"Python (in dataframe... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/datasets_handler.py | datasets/downloads/PyDataset/pydataset/datasets_handler.py | # datasets_handler.py
# dataset handling file
import pandas as pd
from .utils import html2text
from .locate_datasets import __items_dict, __docs_dict, __get_data_folder_path
items = __items_dict()
docs = __docs_dict()
# make dataframe layout (of __datasets_desc()) terminal-friendly
pd.set_option('display.max_rows', ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/dump_data.py | datasets/downloads/PyDataset/pydataset/dump_data.py | # dump_data.py
# initialize PYDATASET_HOME, and
# dump pydataset/resources.tar.gz into $HOME/.pydataset/
import tarfile
from os import path as os_path
from os import mkdir as os_mkdir
from os.path import join as path_join
def __setup_db():
homedir = os_path.expanduser('~')
PYDATASET_HOME = path_join(homedir... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/__init__.py | datasets/downloads/PyDataset/pydataset/__init__.py | # __init__.py
# main interface to pydataset module
from .datasets_handler import __print_item_docs, __read_csv, __datasets_desc
from .support import find_similar
def data(item=None, show_doc=False):
"""loads a datasaet (from in-modules datasets) in a dataframe data structure.
Args:
item (str) :... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/locate_datasets.py | datasets/downloads/PyDataset/pydataset/locate_datasets.py |
# locate_datasets.py
# locate datasets file paths
from os import path as os_path
from os import walk as os_walk
from os.path import join as path_join
from .dump_data import __setup_db
def __get_data_folder_path():
# read rdata folder's path from $HOME
homedir = os_path.expanduser('~')
# initiate databas... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/support.py | datasets/downloads/PyDataset/pydataset/support.py |
from difflib import SequenceMatcher as SM
from collections import Counter
from .locate_datasets import __items_dict
DATASET_IDS = list(__items_dict().keys())
ERROR = ('Not valid dataset name and no similar found! '
'Try: data() to see available.')
def similarity(w1, w2, threshold=0.5):
"""compare two ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/utils/html2text.py | datasets/downloads/PyDataset/pydataset/utils/html2text.py | #!/usr/bin/env python
"""html2text: Turn HTML into equivalent Markdown-structured text."""
__version__ = "3.200.3"
__author__ = "Aaron Swartz (me@aaronsw.com)"
__copyright__ = "(C) 2004-2008 Aaron Swartz. GNU GPL 3."
__contributors__ = ["Martin 'Joey' Schulze", "Ricardo Reyes", "Kevin Jay North"]
# TODO:
# Support d... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/datasets/downloads/PyDataset/pydataset/utils/__init__.py | datasets/downloads/PyDataset/pydataset/utils/__init__.py | #!/usr/bin/env python
| python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/models/load.py | models/load.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/models/sort.py | models/sort.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/models/model2csv.py | models/model2csv.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/models/create_readme.py | models/create_readme.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/models/clean.py | models/clean.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/models/validate.py | models/validate.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/rename.py | train_dir/rename.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/create_csv.py | train_dir/create_csv.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/delete_json.py | train_dir/delete_json.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/get_stats_folder.py | train_dir/get_stats_folder.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/combine_datasets.py | train_dir/combine_datasets.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/make_csv_regression.py | train_dir/make_csv_regression.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/remove_unfeaturized.py | train_dir/remove_unfeaturized.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/delete_features.py | train_dir/delete_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/create_dataset.py | train_dir/create_dataset.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/make_new.py | train_dir/make_new.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/train_dir/get_stats.py | train_dir/get_stats.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/standard_array.py | features/standard_array.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/multispeaker_features.py | features/audio_features/multispeaker_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/yamnet_features.py | features/audio_features/yamnet_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/audioset_features.py | features/audio_features/audioset_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/librosa_features.py | features/audio_features/librosa_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/pyaudio_features.py | features/audio_features/pyaudio_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/praat_features.py | features/audio_features/praat_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/gemaps_time_features.py | features/audio_features/gemaps_time_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/sox_features.py | features/audio_features/sox_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/mixed_features.py | features/audio_features/mixed_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/specimage2_features.py | features/audio_features/specimage2_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/hubert_features.py | features/audio_features/hubert_features.py | import torch, sys
from transformers import HubertModel, HubertConfig
from transformers import Wav2Vec2Processor, HubertForCTC
import soundfile as sf
import numpy as np
def hubert_featurize(file, hubert_model, hubert_processor, size):
audio_input, _ = sf.read(file)
input_values = hubert_processor(audio_input, ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/allosaurus_features.py | features/audio_features/allosaurus_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/prosody_features.py | features/audio_features/prosody_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/praat_time_features.py | features/audio_features/praat_time_features.py | '''
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A:::::A:::::A ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/pspeech_features.py | features/audio_features/pspeech_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/pspeechtime_features.py | features/audio_features/pspeechtime_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/speechmetrics_features.py | features/audio_features/speechmetrics_features.py | # the case of absolute metrics
'''
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jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/standard_features.py | features/audio_features/standard_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/surfboard_features.py | features/audio_features/surfboard_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/loudness_features.py | features/audio_features/loudness_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/parallel_featurize.py | features/audio_features/parallel_featurize.py | '''
Import all the featurization scripts and allow the user to customize what embedding that
they would like to use for modeling purposes.
AudioSet is the only embedding that is a little bit wierd, as it is normalized to the length
of each audio file. There are many ways around this issue (such as normalizing to the l... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/sa_features.py | features/audio_features/sa_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/spectrogram_features.py | features/audio_features/spectrogram_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/opensmile_features.py | features/audio_features/opensmile_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/pause_features.py | features/audio_features/pause_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/pyaudiolex_features.py | features/audio_features/pyaudiolex_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/specimage_features.py | features/audio_features/specimage_features.py | '''
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... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/audiotext_features.py | features/audio_features/audiotext_features.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/featurize.py | features/audio_features/featurize.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/voxceleb_features.py | features/audio_features/voxceleb_features.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/meta_features.py | features/audio_features/meta_features.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/pyworld_features.py | features/audio_features/pyworld_features.py | '''
AAA lllllll lllllll iiii
A:::A l:::::l l:::::l i::::i
A:::::A l:::::l l:::::l iiii
A:::::::A l:::::l l:::::l
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/transcribe.py | features/audio_features/helpers/transcribe.py | '''
================================================
## VOICEBOOK REPOSITORY ##
================================================
repository name: voicebook
repository version: 1.0
repository link: https://github.com/jim-schwoebel/voicebook
author: Jim Schwoebel
author contact: js@neur... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/audio_plot.py | features/audio_features/helpers/audio_plot.py | '''
================================================
## VOICEBOOK REPOSITORY ##
================================================
repository name: voicebook
repository version: 1.0
repository link: https://github.com/jim-schwoebel/voicebook
author: Jim Schwoebel
author contact: js@neur... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/pyaudio_help.py | features/audio_features/helpers/pyaudio_help.py | # import required modules
from pyAudioAnalysis import audioBasicIO
from pyAudioAnalysis import audioFeatureExtraction
import sys,json, os
import numpy as np
def stats(matrix):
mean=np.mean(matrix)
std=np.std(matrix)
maxv=np.amax(matrix)
minv=np.amin(matrix)
median=np.median(matrix)
output=np.... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/sonopy_features.py | features/audio_features/helpers/sonopy_features.py | import numpy as np
from sonopy import power_spec, mel_spec, mfcc_spec, filterbanks
from scipy.io import wavfile
sr, audio = wavfile.read('test.wav')
# powers = power_spec(audio, window_stride=(100, 50), fft_size=512)
# mels = mel_spec(audio, sr, window_stride=(1600, 800), fft_size=1024, num_filt=30)
mfccs = mfcc_spec... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/make_mixed_features.py | features/audio_features/helpers/make_mixed_features.py | '''
Create a random set of features.
'''
import librosa_features as lf
import helpers.transcribe as ts
import random, math, os, sys, json
def prev_dir(directory):
g=directory.split('/')
dir_=''
for i in range(len(g)):
if i != len(g)-1:
if i==0:
dir_=dir_+g[i]
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/myprosody_features.py | features/audio_features/helpers/myprosody_features.py | '''
Taken from https://github.com/Shahabks/myprosody/blob/master/EXAMPLES.pdf
'''
import parselmouth
from parselmouth.praat import call, run_file
import numpy as np
import os, sys, shutil
def prev_dir(directory):
g=directory.split('/')
# print(g)
lastdir=g[len(g)-1]
i1=directory.find(lastdir)
direc... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/vggish_inference_demo.py | features/audio_features/helpers/vggish_inference_demo.py | # Copyright 2017 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/speechpy_features.py | features/audio_features/helpers/speechpy_features.py | import scipy.io.wavfile as wav
import numpy as np
import speechpy
import os, sys
file_name = sys.argv[1]
fs, signal = wav.read(file_name)
signal = signal[:,0]
# Example of pre-emphasizing.
signal_preemphasized = speechpy.processing.preemphasis(signal, cof=0.98)
# Example of staching frames
frames = speechpy.processi... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/opensmile/arff_parse.py | features/audio_features/helpers/opensmile/arff_parse.py | import numpy as np
import json, os, time
def parseArff(arff_file):
'''
Parses Arff File created by OpenSmile Feature Extraction
'''
f = open(arff_file,'r', encoding='utf-8')
data = []
labels = []
for line in f:
if '@attribute' in line:
temp = line.split(" ")
... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/DigiPsych_Prosody/vad_helper.py | features/audio_features/helpers/DigiPsych_Prosody/vad_helper.py | import collections
import contextlib
import sys
import wave
import webrtcvad
'''
vad_helper.py takes the code from https://github.com/wiseman/py-webrtcvad/blob/master/example.py
directly.
The methods created in example.py are leveraged immediately by prosody.py. All credit
for functions in this python program are cred... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/DigiPsych_Prosody/prosody.py | features/audio_features/helpers/DigiPsych_Prosody/prosody.py | import webrtcvad
from vad_helper import read_wave, frame_generator
import os
import sys
import sox
import shutil
from operator import itemgetter
from itertools import groupby
import numpy as np
class Voice_Prosody:
def __init__(self):
'''
Class embeds methods of voice activity detection
to ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/DigiPsych_Prosody/featurize.py | features/audio_features/helpers/DigiPsych_Prosody/featurize.py | import argparse, json, os, sys
from prosody import Voice_Prosody
import pandas as pd
from datetime import datetime
'''
Featurize Wrapper for grabbing prosody features for audio stored in a folder
'''
def featurize_audio(audiofile,fsize):
df = pd.DataFrame()
vp = Voice_Prosody()
if audiofile.endswith('.wav'... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/pyAudioLex/number_ratio.py | features/audio_features/helpers/pyAudioLex/number_ratio.py | '''
@package: pyAudioLex
@author: Drew Morris
@module: number_ratio
During conversations, subjects give details about their birth dates,
how many kids they have, and other numerical information. Such use of
numbers in a sentence can be a measure of recall ability. The number ratio
feature is calculated by dividing ... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/pyAudioLex/verb_freq.py | features/audio_features/helpers/pyAudioLex/verb_freq.py | '''
@package: pyAudioLex
@author: Drew Morris
@module: verb_freq
Frequency of a POS tag is computed by dividing the total number of words
with that tag by the total number of words spoken by the subject in the
recording.
'''
from nltk.tokenize import word_tokenize
from nltk.tag import pos_tag, map_tag
def verb_fre... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/pyAudioLex/noun_freq.py | features/audio_features/helpers/pyAudioLex/noun_freq.py | '''
@package: pyAudioLex
@author: Drew Morris
@module: noun_freq
Frequency of a POS tag is computed by dividing the total number of words
with that tag by the total number of words spoken by the subject in the
recording.
'''
from nltk.tokenize import word_tokenize
from nltk.tag import pos_tag, map_tag
def noun_fre... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/pyAudioLex/honores_statistic.py | features/audio_features/helpers/pyAudioLex/honores_statistic.py | '''
@package: pyAudioLex
@author: Drew Morris
@module: honores_statistic
Honore's statistic [21] is based on the notion that the larger the number
of words used by a speaker that occur only once, the richer his overall
lexicon is. Words spoken only once (V1) and the total vocabulary used (V)
have been shown to be l... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
jim-schwoebel/allie | https://github.com/jim-schwoebel/allie/blob/b89f1403f63033ad406d0606b7c7a45000b43481/features/audio_features/helpers/pyAudioLex/particle_freq.py | features/audio_features/helpers/pyAudioLex/particle_freq.py | '''
@package: pyAudioLex
@author: Drew Morris
@module: particle_freq
Frequency of a POS tag is computed by dividing the total number of words
with that tag by the total number of words spoken by the subject in the
recording.
'''
from nltk.tokenize import word_tokenize
from nltk.tag import pos_tag, map_tag
def part... | python | Apache-2.0 | b89f1403f63033ad406d0606b7c7a45000b43481 | 2026-01-05T07:09:07.495102Z | false |
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