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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
699f409bdd5d561bb93770f28b38f939f53fc421 | 5,483 | py | Python | 3_dataset_create.py | shivanirmishra/musicgenre | 954214b6f7756c05de1253702811fd69dd99b0e2 | [
"MIT"
] | null | null | null | 3_dataset_create.py | shivanirmishra/musicgenre | 954214b6f7756c05de1253702811fd69dd99b0e2 | [
"MIT"
] | null | null | null | 3_dataset_create.py | shivanirmishra/musicgenre | 954214b6f7756c05de1253702811fd69dd99b0e2 | [
"MIT"
] | null | null | null |
from google.colab import drive
drive.mount('/content/drive')
import librosa
import os
import pandas as pd
from numpy import mean
import warnings;
warnings.filterwarnings('ignore');
folders_5s = {
'pop_5s':'/content/drive/My Drive/ML_Project/New_Data/pop_test_5s',
'rnb_5s':'/content/drive/... | 28.857895 | 89 | 0.666423 |
from google.colab import drive
drive.mount('/content/drive')
import librosa
import os
import pandas as pd
from numpy import mean
import warnings;
warnings.filterwarnings('ignore');
folders_5s = {
'pop_5s':'/content/drive/My Drive/ML_Project/New_Data/pop_test_5s',
'rnb_5s':'/content/drive/... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
412a8b42be8c6054311e076c95465833bdd45355 | 1,206 | py | Python | data/train_test_split.py | ttaoREtw/A-Pytorch-Implementation-of-Tacotron-End-to-end-Text-to-speech-Deep-Learning-Model | 6b0f615cafb0530370631a880aac5736fe9a2c64 | [
"MIT"
] | 105 | 2018-09-13T02:45:10.000Z | 2021-06-24T03:31:15.000Z | data/train_test_split.py | henryhenrychen/Tacotron-pytorch | 4a4d1ea0d83fd88a50464999f5d55fe012c86687 | [
"MIT"
] | 9 | 2018-12-11T02:37:58.000Z | 2021-03-18T02:42:40.000Z | data/train_test_split.py | henryhenrychen/Tacotron-pytorch | 4a4d1ea0d83fd88a50464999f5d55fe012c86687 | [
"MIT"
] | 31 | 2018-09-15T14:51:31.000Z | 2021-01-19T07:37:14.000Z | import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Split the data')
parser.add_argument('--meta-all', type=str, help='The meta file generated by preprocess.py', required=True)
parser.add_argument('--ratio-test', default=0.1, type=float, help='ratio of testing example... | 31.736842 | 114 | 0.662521 | import os
import argparse
import random
def split_and_save(args):
meta_all_path = args.meta_all
meta_dir = os.path.dirname(os.path.realpath(meta_all_path))
meta_tr_path = os.path.join(meta_dir, 'meta_train.txt')
meta_te_path = os.path.join(meta_dir, 'meta_test.txt')
with open(meta_all_path) as f:
... | 0 | 0 | 0 | 0 | 0 | 762 | 0 | -20 | 67 |
4d36c18720eb25777d76206398891b1da5c803d3 | 10,711 | py | Python | item_sets.py | jay-maity/RecommendPCY | 040eda27be46d241406d3cb8ce6605dde492fef9 | [
"MIT"
] | null | null | null | item_sets.py | jay-maity/RecommendPCY | 040eda27be46d241406d3cb8ce6605dde492fef9 | [
"MIT"
] | null | null | null | item_sets.py | jay-maity/RecommendPCY | 040eda27be46d241406d3cb8ce6605dde492fef9 | [
"MIT"
] | null | null | null | """ Frequent item discovery by PCY algorithm"""
import sys
cluster = None
session = None
def main():
"""
Handles parameters for the file to run
:return:
"""
input_path = sys.argv[1]
output_path = sys.argv[2]
support_thresold = int(sys.argv[3])
broadcast = 1
if len(sys.argv) > 4... | 34.220447 | 98 | 0.527588 | """ Frequent item discovery by PCY algorithm"""
import operator
import json
import sys
from pyspark import SparkContext, SparkConf
import pyspark_cassandra
from cassandra.cluster import Cluster
cluster = None
session = None
class PCYFrequentItems:
"""
Find Frequent item list using PCY algorithm
"""
... | 0 | 3,197 | 0 | 6,742 | 0 | 0 | 0 | 25 | 134 |
67a731ca62e5cbd2844ce988950efc73fd0d3ec6 | 5,201 | pyw | Python | pncShell.pyw | BobBaylor/pnc | 11b5a08a1fce5c605a203c4e46c9d9599024ad3c | [
"MIT"
] | null | null | null | pncShell.pyw | BobBaylor/pnc | 11b5a08a1fce5c605a203c4e46c9d9599024ad3c | [
"MIT"
] | null | null | null | pncShell.pyw | BobBaylor/pnc | 11b5a08a1fce5c605a203c4e46c9d9599024ad3c | [
"MIT"
] | null | null | null | """
A wrapper around my pnc.py module
"""
# app = MyApp(redirect=True)
app = MyApp() #pylint: disable=invalid-name
app.MainLoop()
| 38.242647 | 153 | 0.586233 | """
A wrapper around my pnc.py module
"""
import os.path
import wx
import wx.lib.filebrowsebutton as filebrowse
import pnc
class MyFrame(wx.Frame):
"""
This is MyFrame. It just shows a few controls on a wxPanel,
and has a simple menu.
Use this file inFileBtn
Write this root name TextEntry
... | 0 | 0 | 0 | 4,927 | 0 | 0 | 0 | -7 | 137 |
f7357be79ed5cf787004c67c6e35b3966042133a | 659 | py | Python | ouch_server.py | jahinzee/theouchteam | 870767cae81ad37b4191ded64c3e83eb48be982a | [
"MIT"
] | 3 | 2022-01-09T02:40:31.000Z | 2022-02-01T03:57:40.000Z | ouch_server.py | jahinzee/theouchteam | 870767cae81ad37b4191ded64c3e83eb48be982a | [
"MIT"
] | null | null | null | ouch_server.py | jahinzee/theouchteam | 870767cae81ad37b4191ded64c3e83eb48be982a | [
"MIT"
] | 1 | 2022-01-21T08:05:27.000Z | 2022-01-21T08:05:27.000Z | import sys
from src.Exchange import Exchange
if __name__ == "__main__":
exchange = None
if len(sys.argv) == 2:
if sys.argv[1] == "debug":
# Exchange outputs using debug mode.
exchange = Exchange(debug="dump")
elif sys.argv[1] == "none":
# Exchange won't outp... | 32.95 | 86 | 0.608498 | import sys
from src.Exchange import Exchange
if __name__ == "__main__":
exchange = None
if len(sys.argv) == 2:
if sys.argv[1] == "debug":
# Exchange outputs using debug mode.
exchange = Exchange(debug="dump")
elif sys.argv[1] == "none":
# Exchange won't outp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a3dcdb967f844c2c93436cc07445e0c92c4d3a7d | 99 | py | Python | server_prod.py | techx/evolution-chamber | dea9b7d563df6f06d270078f5c512e3f7e367a92 | [
"MIT"
] | 4 | 2015-06-22T15:44:57.000Z | 2015-06-22T15:57:03.000Z | server_prod.py | techx/evolution-chamber | dea9b7d563df6f06d270078f5c512e3f7e367a92 | [
"MIT"
] | null | null | null | server_prod.py | techx/evolution-chamber | dea9b7d563df6f06d270078f5c512e3f7e367a92 | [
"MIT"
] | 2 | 2015-07-09T15:21:37.000Z | 2016-02-02T15:59:09.000Z | import server
if __name__ == "__main__":
server.app.run(host='0.0.0.0',port=5000,debug=False)
| 19.8 | 56 | 0.686869 | import server
if __name__ == "__main__":
server.app.run(host='0.0.0.0',port=5000,debug=False)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
da72584d02e46192004671f6611a889c0dd3c753 | 2,533 | py | Python | datahub/email_ingestion/emails.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 6 | 2019-12-02T16:11:24.000Z | 2022-03-18T10:02:02.000Z | datahub/email_ingestion/emails.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 1,696 | 2019-10-31T14:08:37.000Z | 2022-03-29T12:35:57.000Z | datahub/email_ingestion/emails.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 9 | 2019-11-22T12:42:03.000Z | 2021-09-03T14:25:05.000Z | from logging import getLogger
import mailparser
from datahub.documents import utils as documents
from datahub.interaction.email_processors.processors import CalendarInteractionEmailProcessor
logger = getLogger(__name__)
BUCKET_ID = 'mailbox'
def process_ingestion_emails():
"""
Gets all new mail documents... | 33.773333 | 95 | 0.649428 | import tempfile
from logging import getLogger
import mailparser
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from datahub.documents import utils as documents
from datahub.interaction.email_processors.processors import CalendarInteractionEmailProcessor
logger = getLogger(__... | 0 | 0 | 0 | 0 | 1,053 | 0 | 0 | 39 | 89 |
0af7288a9052da637b85d240b67185965f20ec48 | 1,105 | py | Python | classes/rooms.py | Loekring/Neversoft | a9e600131585741652b62b2dbbaa2febc1656843 | [
"MIT"
] | 1 | 2018-01-21T21:15:52.000Z | 2018-01-21T21:15:52.000Z | classes/rooms.py | Loekring/Neversoft | a9e600131585741652b62b2dbbaa2febc1656843 | [
"MIT"
] | null | null | null | classes/rooms.py | Loekring/Neversoft | a9e600131585741652b62b2dbbaa2febc1656843 | [
"MIT"
] | null | null | null |
offBoundsMsgs = ["Der er ikkje noko i den retninga.", "Du mtte ein vegg.", "Du kjem deg ikkje vidare i den retninga."]
roomSizeX, roomSizeY = 2, 1
| 31.571429 | 119 | 0.6181 | import random as r
offBoundsMsgs = ["Der er ikkje noko i den retninga.", "Du møtte ein vegg.", "Du kjem deg ikkje vidare i den retninga."]
roomSizeX, roomSizeY = 2, 1
class Rooms:
# Dette er baseklassa til allle romma
def __init__(self, name, smell, feel, taste, look, sound, jump):
self.name = name... | 4 | 0 | 0 | 910 | 0 | 0 | 0 | -3 | 45 |
9c6cb2f62249c9249426fed5a021326cf26ae2cd | 3,970 | py | Python | pymatflow/vasp/scripts/vasp-dfpt.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 6 | 2020-03-06T16:13:08.000Z | 2022-03-09T07:53:34.000Z | pymatflow/vasp/scripts/vasp-dfpt.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 1 | 2021-10-02T02:23:08.000Z | 2021-11-08T13:29:37.000Z | pymatflow/vasp/scripts/vasp-dfpt.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 1 | 2021-07-10T16:28:14.000Z | 2021-07-10T16:28:14.000Z | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
import argparse
from pymatflow.vasp.dfpt import dfpt_run
"""
usage:
"""
params = {}
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-d", "--directory", type=str, default="tmp-vasp-static",
hel... | 36.090909 | 251 | 0.522418 | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
import os
import argparse
from pymatflow.vasp.dfpt import dfpt_run
"""
usage:
"""
params = {}
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-d", "--directory", type=str, default="tmp-vasp-static",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -12 | 25 |
9d62cac37a74dba044cd1a53d16dc1255a546ab1 | 260 | py | Python | python5.py | audstanley/nodePythonProcessWatcher | cf3b707af81c837b99c5b2d955cf0d718e286e81 | [
"MIT"
] | null | null | null | python5.py | audstanley/nodePythonProcessWatcher | cf3b707af81c837b99c5b2d955cf0d718e286e81 | [
"MIT"
] | null | null | null | python5.py | audstanley/nodePythonProcessWatcher | cf3b707af81c837b99c5b2d955cf0d718e286e81 | [
"MIT"
] | null | null | null | from python5_unixSocket import interComs
myInterComs = interComs()
myInterComs.run()
import sys
from time import sleep
while True:
print("MESSAGES FROM PYTHON 5")
sys.stdout.flush()
myInterComs.send( {"wordDawg": "from python5"} )
sleep(0.500) | 23.636364 | 52 | 0.726923 | from python5_unixSocket import interComs
myInterComs = interComs()
myInterComs.run()
import sys
from time import sleep
while True:
print("MESSAGES FROM PYTHON 5")
sys.stdout.flush()
myInterComs.send( {"wordDawg": "from python5"} )
sleep(0.500) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2c4146e35515d5d11823006c020a481717320a31 | 1,909 | py | Python | Revitron.tab/RPM.panel/Setup.pulldown/ProjectSetup.pushbutton/ProjectSetup_script.py | jmcouffin/revitron-ui | f67739488b504cdb0cabe36e088a40fe3cd2b282 | [
"MIT"
] | null | null | null | Revitron.tab/RPM.panel/Setup.pulldown/ProjectSetup.pushbutton/ProjectSetup_script.py | jmcouffin/revitron-ui | f67739488b504cdb0cabe36e088a40fe3cd2b282 | [
"MIT"
] | null | null | null | Revitron.tab/RPM.panel/Setup.pulldown/ProjectSetup.pushbutton/ProjectSetup_script.py | jmcouffin/revitron-ui | f67739488b504cdb0cabe36e088a40fe3cd2b282 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Define extensions to be used with this Revit model. Defined extensions can be installed by using the "Install Extensions" button.
"""
import revitron
import System.Windows
from rpw.ui.forms import FlexForm, TextBox, Button, Label
if not revitron.Document().isFamily():
config = revitron.D... | 37.431373 | 130 | 0.707177 | # -*- coding: utf-8 -*-
"""
Define extensions to be used with this Revit model. Defined extensions can be installed by using the "Install Extensions" button.
"""
import revitron
import System.Windows
from pyrevit import script
from rpw.ui.forms import FlexForm, TextBox, Button, Label
def openHelp(sender, e):
script.... | 0 | 0 | 0 | 0 | 0 | 83 | 0 | 5 | 45 |
d570100b492c0df602a33bf7fd31f800015b364c | 3,653 | py | Python | src/features/spectrum.py | vikigenius/neural_speaker_identification | a723290808d748daf65163b71aef2c5376319db3 | [
"MIT"
] | 1 | 2019-07-27T00:32:02.000Z | 2019-07-27T00:32:02.000Z | src/features/spectrum.py | vikigenius/neural_speaker_identification | a723290808d748daf65163b71aef2c5376319db3 | [
"MIT"
] | null | null | null | src/features/spectrum.py | vikigenius/neural_speaker_identification | a723290808d748daf65163b71aef2c5376319db3 | [
"MIT"
] | 1 | 2019-07-27T00:32:06.000Z | 2019-07-27T00:32:06.000Z | #!/usr/bin/env python
import logging
logger = logging.getLogger(__name__)
| 30.957627 | 79 | 0.595401 | #!/usr/bin/env python
import logging
import numpy as np
import librosa
import scipy
from random import randint
from src.utils.math_utils import nextpow2
logger = logging.getLogger(__name__)
class Spectrum(object):
def __init__(self, hparams):
self.sample_freq = hparams.sample_freq
self.duration ... | 0 | 0 | 0 | 3,437 | 0 | 0 | 0 | 6 | 133 |
01fd056ce41c1c67b73640a90525a86f7223ab98 | 51,070 | py | Python | backend/grafit/migrations/0003_load_data.py | fossabot/grafit | c7328cc7ed4d37d36fc735944aa8763fad090d97 | [
"MIT"
] | 16 | 2018-10-12T16:33:52.000Z | 2020-06-23T20:11:34.000Z | backend/grafit/migrations/0003_load_data.py | fossabot/grafit | c7328cc7ed4d37d36fc735944aa8763fad090d97 | [
"MIT"
] | 41 | 2018-10-14T21:28:38.000Z | 2021-06-10T22:01:45.000Z | backend/grafit/migrations/0003_load_data.py | fossabot/grafit | c7328cc7ed4d37d36fc735944aa8763fad090d97 | [
"MIT"
] | 4 | 2018-10-28T10:47:26.000Z | 2020-07-20T04:17:04.000Z | # Generated by Django 2.1.2 on 2018-10-25 09:36
import django.contrib.auth.models
import django.contrib.auth.validators
| 100.928854 | 1,002 | 0.739495 | # Generated by Django 2.1.2 on 2018-10-25 09:36
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.utils.timezone
import uuid
class Migration(migrations.Migration):
dependencies = [
('grafit', '0002_article'),
]
operati... | 159 | 0 | 0 | 50,790 | 0 | 0 | 0 | 16 | 89 |
ddfea5bd5d0e0cf8608cb0a07599e5e6b06f933e | 494 | py | Python | Python Script Tools/18.0 Create Dataframe And Store It In a CSV.py | juan1305/0.11-incremento_descremento | 954ddb32180c3197e5b01cf95d20f5325ada8a29 | [
"MIT"
] | 1 | 2020-04-13T00:16:16.000Z | 2020-04-13T00:16:16.000Z | Python Script Tools/18.0 Create Dataframe And Store It In a CSV.py | juan1305/0.11-incremento_descremento | 954ddb32180c3197e5b01cf95d20f5325ada8a29 | [
"MIT"
] | null | null | null | Python Script Tools/18.0 Create Dataframe And Store It In a CSV.py | juan1305/0.11-incremento_descremento | 954ddb32180c3197e5b01cf95d20f5325ada8a29 | [
"MIT"
] | null | null | null | import pandas as pd
# Crear diccionario donde key sera columna a crear
# y su valuela informacion de cada columna
data = {'paises': ['Mexico', 'Espaa', 'Estados Unidos'],
'Ciudades': ['Monterrey,' 'Madrid', 'Nueva York'],
'Casos': [4291, 3829, 10283]}
# Crear un DataFrame pasando el diccioario y
# sealizar la... | 27.444444 | 64 | 0.700405 | import pandas as pd
# Crear diccionario donde key sera columna a crear
# y su valuela informacion de cada columna
data = {'paises': ['Mexico', 'España', 'Estados Unidos'],
'Ciudades': ['Monterrey,' 'Madrid', 'Nueva York'],
'Casos': [4291, 3829, 10283]}
# Crear un DataFrame pasando el diccioario y
# señalizar ... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d3b313c3dd0ec4a73ea6c33bd5b776e0285a4fc6 | 30,581 | py | Python | pxr/usd/usdLux/testenv/testUsdLuxLight.py | yurivict/USD | 3b097e3ba8fabf1777a1256e241ea15df83f3065 | [
"Apache-2.0"
] | 1 | 2021-09-25T12:49:37.000Z | 2021-09-25T12:49:37.000Z | pxr/usd/usdLux/testenv/testUsdLuxLight.py | yurivict/USD | 3b097e3ba8fabf1777a1256e241ea15df83f3065 | [
"Apache-2.0"
] | null | null | null | pxr/usd/usdLux/testenv/testUsdLuxLight.py | yurivict/USD | 3b097e3ba8fabf1777a1256e241ea15df83f3065 | [
"Apache-2.0"
] | 1 | 2018-10-03T19:08:33.000Z | 2018-10-03T19:08:33.000Z | #!/pxrpythonsubst
#
# Copyright 2017 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
... | 48.083333 | 82 | 0.632059 | #!/pxrpythonsubst
#
# Copyright 2017 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
... | 0 | 0 | 0 | 29,301 | 0 | 0 | 0 | 55 | 46 |
0e80c9e7dca15d7cd5266e3c0a1290507d1a7a09 | 3,801 | py | Python | scripts/fix_rttm.py | sehgal-simran/RPNSD | 5ec70d11e3d177fb87a8499b63cd1c5ba60549b6 | [
"MIT"
] | 59 | 2020-02-19T11:23:14.000Z | 2022-02-06T09:31:32.000Z | scripts/fix_rttm.py | yuzhms/RPNSD | 031377388cb498c0dee080a76bd588a9ee8b39e0 | [
"MIT"
] | 11 | 2020-03-05T10:23:43.000Z | 2021-10-11T02:15:28.000Z | scripts/fix_rttm.py | yuzhms/RPNSD | 031377388cb498c0dee080a76bd588a9ee8b39e0 | [
"MIT"
] | 13 | 2020-02-19T02:30:43.000Z | 2021-01-13T03:06:42.000Z | #!/usr/bin/env python3
# This script fixes some problems the RTTM file
# including invalid time boundaries and others
if __name__ == "__main__":
main()
| 36.548077 | 146 | 0.594843 | #!/usr/bin/env python3
# This script fixes some problems the RTTM file
# including invalid time boundaries and others
import os
import sys
import numpy as np
import argparse
def get_args():
parser = argparse.ArgumentParser(
description="Fix RTTM file")
parser.add_argument("rttm_file", type=str,
... | 0 | 0 | 0 | 0 | 0 | 3,448 | 0 | -32 | 228 |
78c5929686706d7b4c5c6bb30eecae092b7caa4b | 997 | py | Python | polymorphism/polymorphism_demos.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | 3 | 2021-11-16T04:52:53.000Z | 2022-02-07T20:28:41.000Z | polymorphism/polymorphism_demos.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | null | null | null | polymorphism/polymorphism_demos.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | 1 | 2021-12-07T07:04:38.000Z | 2021-12-07T07:04:38.000Z |
r = Rect(2, 5)
c = Circle(3)
shapes: list[Shape] = [
r,
c,
]
[print_area(s) for s in shapes]
print(isinstance(r, Rect))
print(isinstance(r, Circle))
print(isinstance(r, Shape))
# print_area(2)
print(Rect.mro())
Person().say_hello()
| 16.616667 | 50 | 0.608826 | import math
class Shape:
def area(self):
pass
class Rect(Shape):
def __init__(self, width, height):
self.width = width
self.height = height
def area(self):
return self.width * self.height
class Circle(Shape):
def __init__(self, radius):
self.radius = radius... | 0 | 0 | 0 | 404 | 0 | 215 | 0 | -10 | 137 |