hexsha stringlengths 40 40 | size int64 4 1.02M | ext stringclasses 8
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 209 | max_stars_repo_name stringlengths 5 121 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 209 | max_issues_repo_name stringlengths 5 121 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 209 | max_forks_repo_name stringlengths 5 121 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 4 1.02M | avg_line_length float64 1.07 66.1k | max_line_length int64 4 266k | alphanum_fraction float64 0.01 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a57e753c206bf7a368f77b80147050cdf52158cf | 24,505 | py | Python | bitmex_api.py | SpiralDevelopment/Bitmex-to-Telegram | 88cc8cdba9abb7fdd2eb99dc714cff61c3d5dcb4 | [
"MIT"
] | 2 | 2021-09-17T09:23:58.000Z | 2021-10-03T17:02:46.000Z | bitmex_api.py | SpiralDevelopment/Bitmex-to-Telegram | 88cc8cdba9abb7fdd2eb99dc714cff61c3d5dcb4 | [
"MIT"
] | null | null | null | bitmex_api.py | SpiralDevelopment/Bitmex-to-Telegram | 88cc8cdba9abb7fdd2eb99dc714cff61c3d5dcb4 | [
"MIT"
] | 2 | 2020-08-19T09:07:26.000Z | 2021-11-11T09:41:47.000Z | #! /usr/bin/env python3
"""
This is the bitmex REST API python call.
Official documentation can be found at 'https://www.bitmex.com/api/explorer/'
"""
import hmac
import hashlib
import requests
import time
import sys
from urllib.parse import urlencode
REAL_BASE = 'https://www.bitmex.com/api/v1'
TEST_BASE = 'https://t... | 26.264737 | 108 | 0.520792 |
a82967e0311902f9d04dc4b67865ecb1e122ce02 | 1,112 | py | Python | src/solutions/part2/q226_major_elem_ii.py | hychrisli/PyAlgorithms | 71e537180f3b371d0d2cc47b11cb68ec13a8ac68 | [
"Apache-2.0"
] | null | null | null | src/solutions/part2/q226_major_elem_ii.py | hychrisli/PyAlgorithms | 71e537180f3b371d0d2cc47b11cb68ec13a8ac68 | [
"Apache-2.0"
] | null | null | null | src/solutions/part2/q226_major_elem_ii.py | hychrisli/PyAlgorithms | 71e537180f3b371d0d2cc47b11cb68ec13a8ac68 | [
"Apache-2.0"
] | null | null | null | from src.base.solution import Solution
from src.tests.part2.q226_test_major_elem_ii import MajorElemIiTestCases
class MajorElemIi(Solution):
def run_test(self, input):
return self.majorityElement(input)
def gen_test_cases(self):
return MajorElemIiTestCases()
def verify_output(self, test_... | 25.272727 | 79 | 0.533273 |
b11668ac3432b58bc402ce2fb14f62bbc5ffb8f7 | 1,887 | py | Python | src/RAKE/stoplists/NLTKStopList.py | kevinl95/wordsearchserverless | cfc3dc026d10db9d3d498ebc3b7ca40dc4894cf2 | [
"MIT"
] | 128 | 2016-05-07T09:32:25.000Z | 2022-02-09T16:27:05.000Z | src/RAKE/stoplists/NLTKStopList.py | kevinl95/wordsearchserverless | cfc3dc026d10db9d3d498ebc3b7ca40dc4894cf2 | [
"MIT"
] | 40 | 2016-03-07T08:23:17.000Z | 2021-12-01T22:57:16.000Z | venv/lib/python3.5/site-packages/RAKE/stoplists/NLTKStopList.py | arju88nair/projectCulminate | 54f0f085dc228e4b5aac287b7f47bfd60010d086 | [
"Apache-2.0"
] | 51 | 2016-04-07T06:23:06.000Z | 2021-07-17T20:16:37.000Z | wordlist = [
'a',
'about',
'above',
'after',
'again',
'against',
"ain't",
'all',
'am',
'an',
'and',
'any',
'are',
'aren',
'as',
'at',
'be',
'because',
'been',
'before',
'being',
'below',
'between',
'both',
'but',
'by... | 11.79375 | 19 | 0.334923 |
19df55ed47d763b9dbb43d47358432dae3f7178d | 357 | py | Python | cash/admin.py | essanpupil/moneytracker | 506424ff287d4c093430e93169fedb7ee7da34f7 | [
"MIT"
] | null | null | null | cash/admin.py | essanpupil/moneytracker | 506424ff287d4c093430e93169fedb7ee7da34f7 | [
"MIT"
] | null | null | null | cash/admin.py | essanpupil/moneytracker | 506424ff287d4c093430e93169fedb7ee7da34f7 | [
"MIT"
] | null | null | null | from django.contrib import admin
from cash.models import Activity, Saving
class ActivityAdmin(admin.ModelAdmin):
list_display = [field.name for field in Activity._meta.get_fields()]
admin.site.register(Activity, ActivityAdmin)
class SavingAdmin(admin.ModelAdmin):
list_display = ["name", "balance"]
admi... | 19.833333 | 72 | 0.770308 |
82312e4f5ef91626b3626188996d581a7d21de46 | 343 | py | Python | social/migrations/0002_auto_20201030_1905.py | TonyLuque/demo_webempresarial | f7a5d50f75257d58d1daf22c24b4fc7ea85c56ae | [
"MIT"
] | null | null | null | social/migrations/0002_auto_20201030_1905.py | TonyLuque/demo_webempresarial | f7a5d50f75257d58d1daf22c24b4fc7ea85c56ae | [
"MIT"
] | null | null | null | social/migrations/0002_auto_20201030_1905.py | TonyLuque/demo_webempresarial | f7a5d50f75257d58d1daf22c24b4fc7ea85c56ae | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-10-30 19:05
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('social', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='link',
old_name='Key',
new_name='... | 18.052632 | 47 | 0.559767 |
6ded476872ab3484d20545f3945eccd2c75a0d01 | 2,779 | py | Python | DriveBuddy.py | DhawalKhapre/RoadBuddy | 034552c5ebb6594e1b2b1f39bd1373ee84645c23 | [
"MIT"
] | 1 | 2022-01-11T15:53:21.000Z | 2022-01-11T15:53:21.000Z | DriveBuddy.py | DhawalKhapre/RoadBuddy | 034552c5ebb6594e1b2b1f39bd1373ee84645c23 | [
"MIT"
] | null | null | null | DriveBuddy.py | DhawalKhapre/RoadBuddy | 034552c5ebb6594e1b2b1f39bd1373ee84645c23 | [
"MIT"
] | 1 | 2021-02-09T04:07:48.000Z | 2021-02-09T04:07:48.000Z | import cv2
import os
from keras.models import load_model
import numpy as np
from pygame import mixer
mixer.init()
sound = mixer.Sound('alarm.wav')
face = cv2.CascadeClassifier('haar cascade files\haarcascade_frontalface_alt.xml')
leye = cv2.CascadeClassifier('haar cascade files\haarcascade_lefteye_2splits.xml')
reye ... | 29.56383 | 95 | 0.599496 |
7ca7bed6ea8c4e6e075601b00e648780e1c7b83c | 2,633 | py | Python | addons/phone_validation/tools/phone_validation.py | jjiege/odoo | fd5b8ad387c1881f349d125cbd56433f4d49398f | [
"MIT"
] | null | null | null | addons/phone_validation/tools/phone_validation.py | jjiege/odoo | fd5b8ad387c1881f349d125cbd56433f4d49398f | [
"MIT"
] | null | null | null | addons/phone_validation/tools/phone_validation.py | jjiege/odoo | fd5b8ad387c1881f349d125cbd56433f4d49398f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import _
from odoo.exceptions import UserError
import logging
_logger = logging.getLogger(__name__)
_phonenumbers_lib_warning = False
try:
import phonenumbers
def phone_parse(number, country_code):... | 39.893939 | 112 | 0.673376 |
97392f6cd4bd8f18d523b53670bd97812a4914e9 | 854 | py | Python | code/ch5-viewmodels/viewmodels/packages/details_viewmodel.py | psychofarm/web-applications-with-fastapi-course | 34b3b623889afe86e36b95b2f76f14dcd01ba571 | [
"MIT"
] | 1 | 2021-03-20T17:01:12.000Z | 2021-03-20T17:01:12.000Z | code/ch5-viewmodels/viewmodels/packages/details_viewmodel.py | psychofarm/web-applications-with-fastapi-course | 34b3b623889afe86e36b95b2f76f14dcd01ba571 | [
"MIT"
] | null | null | null | code/ch5-viewmodels/viewmodels/packages/details_viewmodel.py | psychofarm/web-applications-with-fastapi-course | 34b3b623889afe86e36b95b2f76f14dcd01ba571 | [
"MIT"
] | null | null | null | import datetime
from typing import List, Optional
from starlette.requests import Request
from data.release import Release
from services import package_service, user_service
from viewmodels.shared.viewmodel import ViewModelBase
class DetailsViewModel(ViewModelBase):
def __init__(self, package_name: str, request:... | 31.62963 | 90 | 0.738876 |
53ba4523a0210929f7e001e7a3e32c7ad76f1fad | 11,333 | py | Python | iis/dists.py | perrette/iis | 05f09c2580da5a8f693cf745aaaaf21ed8bc73ae | [
"MIT"
] | 1 | 2015-04-25T11:13:55.000Z | 2015-04-25T11:13:55.000Z | iis/dists.py | perrette/iis | 05f09c2580da5a8f693cf745aaaaf21ed8bc73ae | [
"MIT"
] | null | null | null | iis/dists.py | perrette/iis | 05f09c2580da5a8f693cf745aaaaf21ed8bc73ae | [
"MIT"
] | null | null | null | """ Helper to define distributions classes
"""
import copy
import logging
import numpy as np
from scipy.stats import norm, uniform, lognorm, multivariate_normal
from scipy.stats.kde import gaussian_kde # estimate kernel density distribution
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++... | 33.62908 | 136 | 0.584576 |
5d48fe1617417783c66084900f5db7ea88204b91 | 1,464 | py | Python | samitizer/subtitle.py | theeluwin/samitizer | 955c3295a2f8922067286e9f80f086aa935512d6 | [
"MIT"
] | 6 | 2016-10-18T11:02:29.000Z | 2021-05-05T09:00:26.000Z | samitizer/subtitle.py | theeluwin/samitizer | 955c3295a2f8922067286e9f80f086aa935512d6 | [
"MIT"
] | null | null | null | samitizer/subtitle.py | theeluwin/samitizer | 955c3295a2f8922067286e9f80f086aa935512d6 | [
"MIT"
] | 1 | 2017-10-09T09:26:40.000Z | 2017-10-09T09:26:40.000Z | # -*- coding: utf-8 -*-
from .const import STAMP_PADDING
from .const import CONVERT_TARGETS
class Subtitle:
def __init__(self, lang2content, start_stamp, end_stamp=STAMP_PADDING):
self.lang2content = lang2content
self.start_stamp = start_stamp
self.end_stamp = end_stamp
def has_lang... | 29.28 | 95 | 0.599044 |
ed149b5f3cc2d4ecb2d48fec40fcc1cca8dcae0f | 867 | py | Python | pyMMF/functions.py | vongostev/pyMMF | faaa965aac2a1ef07dc762dfbcd841e0764be3b1 | [
"MIT"
] | 5 | 2021-08-08T12:24:36.000Z | 2021-10-30T07:37:52.000Z | pyMMF/functions.py | vongostev/pyMMF | faaa965aac2a1ef07dc762dfbcd841e0764be3b1 | [
"MIT"
] | null | null | null | pyMMF/functions.py | vongostev/pyMMF | faaa965aac2a1ef07dc762dfbcd841e0764be3b1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 4 12:02:57 2019
@author: Sébastien M. Popoff
"""
import numpy as np
import logging
logger = logging.getLogger(__name__)
def cart2pol(X, Y):
'''
Returns the angular and radial matrices (polar coordinates) correspondng to the input c... | 22.230769 | 121 | 0.588235 |
32e5996218a52ab2755891216489c08ee9753bdc | 469 | py | Python | src/mavelp/data_tool.py | nanoMFG/VELP | 08225e863a9e9811fcd9e09cd32abc97719fbb7b | [
"MIT"
] | null | null | null | src/mavelp/data_tool.py | nanoMFG/VELP | 08225e863a9e9811fcd9e09cd32abc97719fbb7b | [
"MIT"
] | 1 | 2020-12-11T19:18:17.000Z | 2020-12-15T02:59:14.000Z | src/mavelp/data_tool.py | nanoMFG/VELP | 08225e863a9e9811fcd9e09cd32abc97719fbb7b | [
"MIT"
] | 1 | 2021-03-16T02:04:12.000Z | 2021-03-16T02:04:12.000Z | import os, sys
import numpy as np
global All_material
def read_data_global(path='./data/data.dat'):
cnt = 0
#print(path)
data = []
with open(path, 'r') as f:
#file = f.read().split('\n')
All_material = f.readline().split('\t')[:-1]
for line in f:
data.append(... | 20.391304 | 64 | 0.528785 |
442b41556deafa16205eabb86025a7ce5afe054c | 477 | py | Python | source.py | lasupernova/Random-Apps | 488b187ae6a4f32d9f6c2bbfdfd4718150863f36 | [
"MIT"
] | null | null | null | source.py | lasupernova/Random-Apps | 488b187ae6a4f32d9f6c2bbfdfd4718150863f36 | [
"MIT"
] | null | null | null | source.py | lasupernova/Random-Apps | 488b187ae6a4f32d9f6c2bbfdfd4718150863f36 | [
"MIT"
] | null | null | null | import mysql.connector
con = mysql.connector.connect(
user = "ardit700_student",
password = "ardit700_student",
host = "108.167.140.122",
database = "ardit700_pm1database"
)
cursor = con.cursor()
print(cursor)
# word=input("Enter the word: ")
# query = cursor.execute("SELECT Definition FROM Dictionary WHERE Expressi... | 22.714286 | 92 | 0.685535 |
2b0fe047fc960f295e62a6e402c4c32293ac8c7d | 538 | py | Python | src/main/tools/flocking_behavior/rules/separation.py | lukaszmichalskii/Flocking-Simulation | eec7ad7c1b6a8c593367e11b68f9fac414f8efe3 | [
"MIT"
] | null | null | null | src/main/tools/flocking_behavior/rules/separation.py | lukaszmichalskii/Flocking-Simulation | eec7ad7c1b6a8c593367e11b68f9fac414f8efe3 | [
"MIT"
] | null | null | null | src/main/tools/flocking_behavior/rules/separation.py | lukaszmichalskii/Flocking-Simulation | eec7ad7c1b6a8c593367e11b68f9fac414f8efe3 | [
"MIT"
] | null | null | null | import pygame
from src.main.boid.boid import Boid
from src.main.tools.flocking_behavior.look_around import look_around
from src.main.tools.flocking_behavior.rules.customize_force import customize_force
from src.main.tools.vector import Vector
def separation(boid: Boid, flock: pygame.sprite.Group, limitations: dict, ... | 41.384615 | 110 | 0.817844 |
d3e46f75f20b7bb97ae41a027af7623425e337ec | 2,275 | py | Python | tests/test_numpy_codecs.py | ingted/pandasnet | 3fd9195007ba66e701383f8f655dcfcc1d53ee56 | [
"MIT"
] | null | null | null | tests/test_numpy_codecs.py | ingted/pandasnet | 3fd9195007ba66e701383f8f655dcfcc1d53ee56 | [
"MIT"
] | null | null | null | tests/test_numpy_codecs.py | ingted/pandasnet | 3fd9195007ba66e701383f8f655dcfcc1d53ee56 | [
"MIT"
] | null | null | null | import pandasnet
import numpy as np
import pytest
from LibForTests import NumpyNet as npnet
@pytest.mark.skip(reason="pythonnet do not allow override")
def test_int8_codec():
x = np.array([1, 2, 3], dtype='int8')
y = npnet.OneDimensionInt8Array(x)
__check(x, y)
@pytest.mark.skip(reason="pythonnet do not... | 29.545455 | 59 | 0.677363 |
b89ae4feefde7ce7791699fbbaf98be48c9fbe02 | 3,563 | py | Python | src/data_schema/feature_names.py | devership16/INF553-YelpProject | ff0fe0b30c60e9baa2fb9422745973280069df22 | [
"MIT"
] | 1 | 2019-05-27T01:57:53.000Z | 2019-05-27T01:57:53.000Z | src/data_schema/feature_names.py | devership16/INF553-YelpProject | ff0fe0b30c60e9baa2fb9422745973280069df22 | [
"MIT"
] | 1 | 2018-09-27T19:32:45.000Z | 2018-09-27T19:32:45.000Z | src/data_schema/feature_names.py | devership16/INF553-YelpProject | ff0fe0b30c60e9baa2fb9422745973280069df22 | [
"MIT"
] | 3 | 2019-01-03T16:01:02.000Z | 2019-03-05T19:19:31.000Z | """
Author: Ajay Anand
"""
class FeatureNames:
COL_BUSINESS_ID = 'business_id' # String
COL_NAME = 'name' # String
COL_NEIGHBORHOOD = "neighborhood" # String
COL_ADDRESS = 'address' # String
COL_CITY = 'city' # String
COL_STATE = 'state' # String
COL_ZIP = 'zip_code' # Integer - 5 digit
... | 45.101266 | 79 | 0.747685 |
02c517cd1934a878e942f309d1910d5f5cb24289 | 440 | py | Python | betting/migrations/0012_event_name.py | jrgparkinson/ouccc | 36824cd944620b6e28795f43a24e17e648b1f0bb | [
"MIT"
] | null | null | null | betting/migrations/0012_event_name.py | jrgparkinson/ouccc | 36824cd944620b6e28795f43a24e17e648b1f0bb | [
"MIT"
] | 5 | 2020-06-06T00:19:41.000Z | 2022-02-13T18:49:17.000Z | betting/migrations/0012_event_name.py | jrgparkinson/ouccc | 36824cd944620b6e28795f43a24e17e648b1f0bb | [
"MIT"
] | null | null | null | # Generated by Django 2.2.6 on 2019-11-07 20:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('betting', '0011_auto_20191107_2044'),
]
operations = [
migrations.AddField(
model_name='event',
name='name',
... | 22 | 73 | 0.6 |
d2672c4652450533cd0cfa994b884af68bfe8823 | 9,837 | py | Python | fatf/utils/tests/test_tools.py | RafaelPo/fat-forensics | edd3c7e149c4534d76fe2241bc919afc5c3c4581 | [
"BSD-3-Clause"
] | 48 | 2019-09-12T04:54:48.000Z | 2022-02-27T01:49:55.000Z | fatf/utils/tests/test_tools.py | RafaelPo/fat-forensics | edd3c7e149c4534d76fe2241bc919afc5c3c4581 | [
"BSD-3-Clause"
] | 4 | 2018-09-20T10:37:53.000Z | 2018-09-26T23:57:48.000Z | fatf/utils/tests/test_tools.py | RafaelPo/fat-forensics | edd3c7e149c4534d76fe2241bc919afc5c3c4581 | [
"BSD-3-Clause"
] | 11 | 2019-09-17T13:39:43.000Z | 2021-07-27T11:04:33.000Z | """
Tests package tools.
"""
# Author: Kacper Sokol <k.sokol@bristol.ac.uk>
# License: new BSD
import pytest
import fatf.utils.tools as fut
def test_at_least_verion():
"""
Tests :func:`fatf.utils.tools.at_least_verion` function.
"""
# pylint: disable=too-many-locals,too-many-branches,too-many-statem... | 45.123853 | 79 | 0.616651 |
4ac338f30a17da267bb8fe789e1b9fb486a3fe66 | 1,158 | py | Python | elit/pretrained/coref.py | emorynlp/el | dbe73d1ce6f2296a64fb013775d2691ae1ed90d4 | [
"Apache-2.0"
] | 40 | 2017-02-27T20:16:44.000Z | 2022-03-25T04:58:01.000Z | elit/pretrained/coref.py | emorynlp/el | dbe73d1ce6f2296a64fb013775d2691ae1ed90d4 | [
"Apache-2.0"
] | 12 | 2017-02-16T23:50:38.000Z | 2022-01-19T21:29:59.000Z | elit/pretrained/coref.py | emorynlp/el | dbe73d1ce6f2296a64fb013775d2691ae1ed90d4 | [
"Apache-2.0"
] | 6 | 2017-05-05T08:02:18.000Z | 2021-11-03T23:47:23.000Z | # ========================================================================
# Copyright 2020 Emory University
#
# 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/lice... | 42.888889 | 86 | 0.689119 |
102d9019dbc96ef5f37b78d461f4ad352430b427 | 101 | py | Python | spyre/testing/new.py | zhong-lab/optics | 9de1942d9a128183ecb3d360b160b27126e7b8f0 | [
"BSD-2-Clause"
] | 1 | 2022-03-27T07:47:19.000Z | 2022-03-27T07:47:19.000Z | spyre/testing/new.py | zhong-lab/optics | 9de1942d9a128183ecb3d360b160b27126e7b8f0 | [
"BSD-2-Clause"
] | null | null | null | spyre/testing/new.py | zhong-lab/optics | 9de1942d9a128183ecb3d360b160b27126e7b8f0 | [
"BSD-2-Clause"
] | 4 | 2019-11-08T22:39:04.000Z | 2021-11-05T02:39:37.000Z | import thorlabs_apt as apt
import time
elements = apt.list_available_devices()
print(elements)
| 20.2 | 40 | 0.782178 |
c5d0d3ac0d3d29e00672cd452d0e645af007032e | 1,550 | py | Python | test/ping.py | laffra/feynman | 21d01b6fcc9ad2d1305c618dc9382dae766e45b7 | [
"MIT"
] | 7 | 2022-03-22T03:36:30.000Z | 2022-03-31T15:39:47.000Z | test/ping.py | laffra/feynman | 21d01b6fcc9ad2d1305c618dc9382dae766e45b7 | [
"MIT"
] | null | null | null | test/ping.py | laffra/feynman | 21d01b6fcc9ad2d1305c618dc9382dae766e45b7 | [
"MIT"
] | null | null | null | import json
import time
import urllib.request
import socket
GEOLOCATION_SERVER = "geolocation-db.com/json"
FAIL = 1000
def getDetails(location):
return location["country_name"]
def readUrl(url):
return urllib.request.urlopen(f"https://{url}").read().decode()
def callService(url):
response = readUrl(ur... | 25.409836 | 99 | 0.636129 |
7c18980a898c155fc00e23d9620baa5c276e895d | 277 | py | Python | models/__init__.py | victorneo/starlette-starter | f80e3fd1f1712b8e9ed8d7085e4e77ec5c0eb03e | [
"Apache-2.0"
] | null | null | null | models/__init__.py | victorneo/starlette-starter | f80e3fd1f1712b8e9ed8d7085e4e77ec5c0eb03e | [
"Apache-2.0"
] | 3 | 2021-01-19T15:20:15.000Z | 2021-06-02T01:40:05.000Z | models/__init__.py | victorneo/starlette-starter | f80e3fd1f1712b8e9ed8d7085e4e77ec5c0eb03e | [
"Apache-2.0"
] | 1 | 2022-02-11T10:57:48.000Z | 2022-02-11T10:57:48.000Z | from .meta import *
from .models import *
from settings import DATABASE_URL
from sqlalchemy import create_engine
from sqlalchemy_utils import database_exists, create_database, drop_database
engine = create_engine(db_url)
create_database(db_url)
metadata.create_all(engine)
| 21.307692 | 76 | 0.837545 |
7de5a68fa7fd6a8471dbfab40e48532beeeac89d | 64,907 | py | Python | hail/python/test/hail/table/test_table.py | cseed/hail | b8a60c328f2c9989147a364eb3643e21d3961d7e | [
"MIT"
] | null | null | null | hail/python/test/hail/table/test_table.py | cseed/hail | b8a60c328f2c9989147a364eb3643e21d3961d7e | [
"MIT"
] | 2 | 2017-10-02T21:02:41.000Z | 2017-10-20T18:20:54.000Z | hail/python/test/hail/table/test_table.py | ovenfoot/hail | 425e779c0bde619bcf96838c09cc834de3c182fd | [
"MIT"
] | 1 | 2017-11-23T03:39:54.000Z | 2017-11-23T03:39:54.000Z | import unittest
import pandas as pd
import pyspark.sql
import pytest
import random
import hail as hl
import hail.expr.aggregators as agg
from hail.utils import new_temp_file
from hail.utils.java import Env
from ..helpers import *
from test.hail.matrixtable.test_file_formats import create_all_values_datasets
setUpMod... | 41.794591 | 158 | 0.551928 |
fd6879b2c5f3f72164f4eff7dce6e8ff279a7107 | 6,116 | py | Python | students/views.py | muhummadPatel/raspied | ab5362484ca5f4f5ceff9f537d5ed9dcbf06b4a8 | [
"MIT"
] | 1 | 2016-11-17T09:15:42.000Z | 2016-11-17T09:15:42.000Z | students/views.py | muhummadPatel/raspied | ab5362484ca5f4f5ceff9f537d5ed9dcbf06b4a8 | [
"MIT"
] | null | null | null | students/views.py | muhummadPatel/raspied | ab5362484ca5f4f5ceff9f537d5ed9dcbf06b4a8 | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
from dateutil import parser as timestring_parser
from django.conf import settings
from django.contrib.auth import authenticate, get_user_model, login
from django.contrib.auth.decorators import login_required
from django.contrib.auth.views import login as default_login_view
from ... | 37.292683 | 119 | 0.708633 |
4abcccbb69c1fd9935037b4f2dd0afbd4bfda312 | 3,662 | py | Python | zcrmsdk/src/com/zoho/crm/api/attachments/success_response.py | zoho/zohocrm-python-sdk-2.0 | 3a93eb3b57fed4e08f26bd5b311e101cb2995411 | [
"Apache-2.0"
] | null | null | null | zcrmsdk/src/com/zoho/crm/api/attachments/success_response.py | zoho/zohocrm-python-sdk-2.0 | 3a93eb3b57fed4e08f26bd5b311e101cb2995411 | [
"Apache-2.0"
] | null | null | null | zcrmsdk/src/com/zoho/crm/api/attachments/success_response.py | zoho/zohocrm-python-sdk-2.0 | 3a93eb3b57fed4e08f26bd5b311e101cb2995411 | [
"Apache-2.0"
] | null | null | null | try:
from zcrmsdk.src.com.zoho.crm.api.exception import SDKException
from zcrmsdk.src.com.zoho.crm.api.util import Choice, Constants
from zcrmsdk.src.com.zoho.crm.api.attachments.action_response import ActionResponse
except Exception:
from ..exception import SDKException
from ..util import Choice, Constants
from ... | 23.934641 | 100 | 0.714364 |
dedaf29b5e68835042e9e51129006160bdeaa88c | 3,903 | py | Python | shop/migrations/0001_initial.py | marcopuccio/mpbb | 18e303308865493886af7667c79720eee766641c | [
"MIT"
] | null | null | null | shop/migrations/0001_initial.py | marcopuccio/mpbb | 18e303308865493886af7667c79720eee766641c | [
"MIT"
] | null | null | null | shop/migrations/0001_initial.py | marcopuccio/mpbb | 18e303308865493886af7667c79720eee766641c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-08-05 04:18
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
... | 45.917647 | 226 | 0.577504 |
e86c6015e4270e19b795b824698c1f6c84f5353c | 2,261 | py | Python | tests/api/test_samples_api.py | virtool/virtool-job | db62f2c84e6e3817eaf78ecd03d5f9bbfcb7fc90 | [
"MIT"
] | null | null | null | tests/api/test_samples_api.py | virtool/virtool-job | db62f2c84e6e3817eaf78ecd03d5f9bbfcb7fc90 | [
"MIT"
] | 1 | 2020-09-02T20:18:45.000Z | 2020-09-02T20:18:45.000Z | tests/api/test_samples_api.py | virtool/virtool-job | db62f2c84e6e3817eaf78ecd03d5f9bbfcb7fc90 | [
"MIT"
] | null | null | null | import gzip
from pathlib import Path
import pytest
from tests.api.mocks.mock_sample_routes import TEST_SAMPLE_ID, TEST_SAMPLE
from virtool_workflow.api.errors import AlreadyFinalized
from virtool_workflow.api.samples import SampleProvider
from virtool_workflow.data_model import Sample
@pytest.fixture
def sample_api... | 24.846154 | 88 | 0.691729 |
0be8b0335976231e5630673142d6e42e72a2884c | 870 | py | Python | tests/random_test.py | trevorWieland/maxcutpy | 4d0ea07261073a77b81f7f3c0b6e6c405a7951fc | [
"MIT"
] | null | null | null | tests/random_test.py | trevorWieland/maxcutpy | 4d0ea07261073a77b81f7f3c0b6e6c405a7951fc | [
"MIT"
] | null | null | null | tests/random_test.py | trevorWieland/maxcutpy | 4d0ea07261073a77b81f7f3c0b6e6c405a7951fc | [
"MIT"
] | null | null | null | from maxcutpy import RandomMaxCut
import numpy as np
def test_random_initialization():
matrix = np.array([[0,1,1],[1,0,5],[1,5,0]])
random_cut = RandomMaxCut(seed=12345, matrix=matrix)
assert random_cut.batches_split == False
assert random_cut.best_cut_vector is None
assert random_cut.best_cut_sco... | 33.461538 | 68 | 0.717241 |
991cd6fb88e461031ebb2e0d4d11d24f9f47cb70 | 4,008 | py | Python | tests/tools/burpsuite/test_parser.py | owtf/ptp | b43e581d7646330810f526432c689c3d88995df9 | [
"BSD-3-Clause"
] | 23 | 2015-03-22T09:18:35.000Z | 2022-03-10T23:28:13.000Z | tests/tools/burpsuite/test_parser.py | owtf/ptp | b43e581d7646330810f526432c689c3d88995df9 | [
"BSD-3-Clause"
] | 22 | 2015-07-12T12:23:40.000Z | 2017-02-26T12:39:48.000Z | tests/tools/burpsuite/test_parser.py | owtf/ptp | b43e581d7646330810f526432c689c3d88995df9 | [
"BSD-3-Clause"
] | 14 | 2015-06-03T19:16:22.000Z | 2022-03-10T23:28:15.000Z | # -*- coding: UTF-8 -*-
import mock
import unittest
from lxml import etree
from hamcrest import assert_that, has_entry, equal_to
from ptp.libptp.exceptions import NotSupportedVersionError
from ptp.tools.burpsuite.parser import BurpXMLParser
def lxml_etree_parse(string):
return etree.fromstring(string).getroottr... | 48.878049 | 120 | 0.718313 |
2c29892e4d7c95f57f0b966a2ccda434d2ef5fb8 | 772 | py | Python | lap/distributions/fedora.py | kenkeiras/lxc-application-packages | 29f11b3185e5078e41cb433c647bd87d1537490f | [
"MIT"
] | 1 | 2020-02-16T15:02:18.000Z | 2020-02-16T15:02:18.000Z | lap/distributions/fedora.py | kenkeiras/lxc-application-packages | 29f11b3185e5078e41cb433c647bd87d1537490f | [
"MIT"
] | 6 | 2016-11-15T22:07:19.000Z | 2016-11-20T22:54:08.000Z | lap/distributions/fedora.py | kenkeiras/lxc-application-packages | 29f11b3185e5078e41cb433c647bd87d1537490f | [
"MIT"
] | null | null | null | # coding: utf-8
import lxc
from .redhat_derived import RedHatDerived
from .package_managers.dnf import DNFRepositoryMetalink
class Fedora24(RedHatDerived):
def __init__(self):
RedHatDerived.__init__(self, repositories=[
DNFRepositoryMetalink('https://mirrors.fedoraproject.org/metalink',
... | 30.88 | 82 | 0.55829 |
d202cfff7e0dc7035a5376c110739af11d7113ef | 13,775 | py | Python | golem/core/utils.py | Neerajakshulu/golem | 06e685d56f51df82a8f80acd1f2601ca16fb4fc0 | [
"MIT"
] | null | null | null | golem/core/utils.py | Neerajakshulu/golem | 06e685d56f51df82a8f80acd1f2601ca16fb4fc0 | [
"MIT"
] | null | null | null | golem/core/utils.py | Neerajakshulu/golem | 06e685d56f51df82a8f80acd1f2601ca16fb4fc0 | [
"MIT"
] | null | null | null | """Helper general purpose functions"""
import importlib
import shutil
import json
import os
import uuid
import traceback
import glob
import re
from datetime import datetime
from distutils.version import StrictVersion
from golem.core import settings_manager
from golem.core import file_manager
def get_test_cases(works... | 36.538462 | 98 | 0.643122 |
0129fb6bb8e9006bd83a99ac2ba344c10f6d7b41 | 19,466 | py | Python | thing/tasks/apitask.py | Gillingham/evething | e00b722cf00a6a3a25e1fff3014ed3365c7ef3e4 | [
"BSD-2-Clause"
] | 33 | 2015-02-18T00:07:57.000Z | 2020-06-09T15:19:05.000Z | thing/tasks/apitask.py | Gillingham/evething | e00b722cf00a6a3a25e1fff3014ed3365c7ef3e4 | [
"BSD-2-Clause"
] | 19 | 2015-03-09T19:51:43.000Z | 2019-10-19T12:04:23.000Z | thing/tasks/apitask.py | Gillingham/evething | e00b722cf00a6a3a25e1fff3014ed3365c7ef3e4 | [
"BSD-2-Clause"
] | 20 | 2015-02-20T17:53:17.000Z | 2022-02-11T06:29:11.000Z | # ------------------------------------------------------------------------------
# Copyright (c) 2010-2013, EVEthing team
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# Redistributions of... | 38.394477 | 188 | 0.548238 |
c2938b9f6fc082d4e2236a5ba20f3bcbbd4f37d1 | 8,930 | py | Python | site-packages/sklearn/tests/test_common.py | linusg/Pyto | eab3c3e093a8cace53d5b9425d1af2f535d456ee | [
"MIT"
] | 2 | 2020-08-25T13:55:00.000Z | 2020-08-25T16:36:03.000Z | site-packages/sklearn/tests/test_common.py | linusg/Pyto | eab3c3e093a8cace53d5b9425d1af2f535d456ee | [
"MIT"
] | 1 | 2020-04-25T20:36:07.000Z | 2020-04-25T20:36:07.000Z | site-packages/sklearn/tests/test_common.py | Wristlebane/Pyto | 901ac307b68486d8289105c159ca702318bea5b0 | [
"MIT"
] | null | null | null | """
General tests for all estimators in sklearn.
"""
# Authors: Andreas Mueller <amueller@ais.uni-bonn.de>
# Gael Varoquaux gael.varoquaux@normalesup.org
# License: BSD 3 clause
import os
import warnings
import sys
import re
import pkgutil
from inspect import isgenerator
from functools import partial
import... | 38 | 79 | 0.647368 |
8dae77644d0802130106ef1f0778f68f0409a1e0 | 98 | py | Python | maskmypy/__init__.py | TheTinHat/MaskMyPy | 3d22e1a8a576cfcd2f5cf9ddcb8ef2a2ab1780a3 | [
"MIT"
] | null | null | null | maskmypy/__init__.py | TheTinHat/MaskMyPy | 3d22e1a8a576cfcd2f5cf9ddcb8ef2a2ab1780a3 | [
"MIT"
] | null | null | null | maskmypy/__init__.py | TheTinHat/MaskMyPy | 3d22e1a8a576cfcd2f5cf9ddcb8ef2a2ab1780a3 | [
"MIT"
] | null | null | null | from .donut import Donut, Donut_MaxK, Donut_Multiply
from .street import Street
name = 'maskmypy' | 24.5 | 52 | 0.795918 |
86297a0b24a4b6b7e9c6962be7607b760412411a | 522 | py | Python | venv/Lib/site-packages/numpy/typing/tests/data/fail/arrayprint.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 603 | 2020-12-23T13:49:32.000Z | 2022-03-31T23:38:03.000Z | venv/Lib/site-packages/numpy/typing/tests/data/fail/arrayprint.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 387 | 2020-12-15T14:54:04.000Z | 2022-03-31T07:00:21.000Z | venv/Lib/site-packages/numpy/typing/tests/data/fail/arrayprint.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 35 | 2021-03-26T03:12:04.000Z | 2022-03-23T10:15:10.000Z | from typing import Callable, Any
import numpy as np
AR: np.ndarray
func1: Callable[[Any], str]
func2: Callable[[np.integer[Any]], str]
np.array2string(AR, style=None) # E: Unexpected keyword argument
np.array2string(AR, legacy="1.14") # E: incompatible type
np.array2string(AR, sign="*") # E: incompatible type
np.a... | 37.285714 | 72 | 0.727969 |
48e58f582e5b19a6ca6b326616362d783382c802 | 4,428 | py | Python | varinf_stoch.py | cassianobecker/msbm | 6ce22f93f63071dc3ca722d499db376ea678eb23 | [
"MIT"
] | null | null | null | varinf_stoch.py | cassianobecker/msbm | 6ce22f93f63071dc3ca722d499db376ea678eb23 | [
"MIT"
] | null | null | null | varinf_stoch.py | cassianobecker/msbm | 6ce22f93f63071dc3ca722d499db376ea678eb23 | [
"MIT"
] | null | null | null | import pdb
#import updates_msbm_vi as msbm
import updates_msbm_stoch as msbm
import updates_msbm2_vi as msbm2
from util import *
import sys
# ################### MAIN INFERENCE PROGRAM #####################
def get_default_parameters(par):
def sigmoid(x):
return 1 / (1 + np.exp(-x))
if 'kappas' not ... | 32.558824 | 122 | 0.508356 |
ab5fe50b9feb29d0941d996ad1d085d60838e920 | 626 | py | Python | send.py | apallath/ClipCross | f174d103c581541cb35f7296ff362d944020d72b | [
"MIT"
] | null | null | null | send.py | apallath/ClipCross | f174d103c581541cb35f7296ff362d944020d72b | [
"MIT"
] | null | null | null | send.py | apallath/ClipCross | f174d103c581541cb35f7296ff362d944020d72b | [
"MIT"
] | null | null | null | from socket import *
from win32clipboard import *
import sys
OpenClipboard()
try:
text=GetClipboardData(CF_TEXT)
except:
print "Error in getting clipboard data!"
sys.exit()
finally:
CloseClipboard()
print "ClipCross Alpha"
host = raw_input("Enter IP address of machine you want to connect... | 20.193548 | 73 | 0.653355 |
e4ae0636089a6b7c091122969b45dc2a266085d6 | 7,113 | py | Python | rhasspy/stt_train.py | frkos/rhasspy | 540b5b97ff6230284d4bdd7f7c06cbcbe8efab6f | [
"MIT"
] | null | null | null | rhasspy/stt_train.py | frkos/rhasspy | 540b5b97ff6230284d4bdd7f7c06cbcbe8efab6f | [
"MIT"
] | null | null | null | rhasspy/stt_train.py | frkos/rhasspy | 540b5b97ff6230284d4bdd7f7c06cbcbe8efab6f | [
"MIT"
] | null | null | null | """Training for speech to text systems."""
import json
import os
import subprocess
from collections import defaultdict
from typing import Any, Dict, List, Optional, Type
import pywrapfst as fst
from rhasspy.actor import RhasspyActor
from rhasspy.events import (SpeechTrainingComplete, SpeechTrainingFailed,
... | 35.924242 | 86 | 0.569661 |
a830bc3b7bf3d251b389ce79f8504062253e291f | 1,420 | py | Python | dota2MemComm/dota2comm.py | Keithenneu/dota2comm | d75dae46d0566f53a482950da2536d12b6ba8890 | [
"MIT"
] | 13 | 2017-01-12T05:32:14.000Z | 2020-04-07T05:30:03.000Z | dota2comm.py | lenLRX/Dota2DQN | 88d27155171df8ddb25eb48faaac2a30a70520ea | [
"MIT"
] | 7 | 2017-01-20T12:30:43.000Z | 2017-02-02T17:18:34.000Z | dota2comm.py | lenLRX/Dota2DQN | 88d27155171df8ddb25eb48faaac2a30a70520ea | [
"MIT"
] | 4 | 2017-01-22T15:14:46.000Z | 2019-12-19T22:14:03.000Z | import sys
from ctypes import cdll, c_char_p, c_void_p, cast
class Dota2Comm:
def __init__(self, name):
self.__dota2comm = cdll.LoadLibrary("dota2comm.dll")
self.name = name
self.__name = name.encode()
self.__receiveMessage = self.__dota2comm.receiveMessage
self.__... | 31.555556 | 73 | 0.617606 |
23308622277cfc156bf04b46705e436350690031 | 1,671 | py | Python | launch_testing/test/launch_testing/legacy/test_env_passing.py | bedieber/launch | 4dfe69763379e405df7a21bde536aad7e39fdd93 | [
"Apache-2.0"
] | 67 | 2015-06-12T21:17:24.000Z | 2022-03-30T07:19:52.000Z | launch_testing/test/launch_testing/legacy/test_env_passing.py | bedieber/launch | 4dfe69763379e405df7a21bde536aad7e39fdd93 | [
"Apache-2.0"
] | 516 | 2015-03-20T02:22:59.000Z | 2022-03-30T12:33:33.000Z | launch_testing/test/launch_testing/legacy/test_env_passing.py | bedieber/launch | 4dfe69763379e405df7a21bde536aad7e39fdd93 | [
"Apache-2.0"
] | 101 | 2016-01-12T16:56:54.000Z | 2022-03-09T12:35:37.000Z | # Copyright 2016 Open Source Robotics Foundation, Inc.
#
# 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 applicable law... | 31.528302 | 79 | 0.664273 |
337c6e28e6eb24b9572099f06bdf1488c3326c5e | 3,699 | py | Python | samples/logonsessions.py | RoccoMatano/ctwin32 | 49160e183827166be35388f7ed09870ae67b7a2d | [
"MIT"
] | 1 | 2022-02-27T10:07:59.000Z | 2022-02-27T10:07:59.000Z | samples/logonsessions.py | RoccoMatano/ctwin32 | 49160e183827166be35388f7ed09870ae67b7a2d | [
"MIT"
] | 1 | 2021-10-20T05:05:59.000Z | 2021-10-20T05:05:59.000Z | samples/logonsessions.py | RoccoMatano/ctwin32 | 49160e183827166be35388f7ed09870ae67b7a2d | [
"MIT"
] | null | null | null | ################################################################################
#
# Copyright 2021-2022 Rocco Matano
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, in... | 40.648352 | 83 | 0.609895 |
b45c48cd9c73e24213ed33e3846513d1983ccf80 | 50 | py | Python | django-simple-captcha/captcha/tests/__init__.py | teeworldsCNFun/upTee | 1c04b7421f4834f83bbb9f59f43dfebac08e56b0 | [
"BSD-3-Clause"
] | null | null | null | django-simple-captcha/captcha/tests/__init__.py | teeworldsCNFun/upTee | 1c04b7421f4834f83bbb9f59f43dfebac08e56b0 | [
"BSD-3-Clause"
] | null | null | null | django-simple-captcha/captcha/tests/__init__.py | teeworldsCNFun/upTee | 1c04b7421f4834f83bbb9f59f43dfebac08e56b0 | [
"BSD-3-Clause"
] | null | null | null | from .tests import CaptchaCase, trivial_challenge
| 25 | 49 | 0.86 |
5d53bd4b44bb5bfb6e2ee9e4f4e30cf721ea7514 | 244 | py | Python | tests/test_app/managers.py | cr0mbly/django-elasticsearch-model-binder | 59f3910e994bf4cb44df53adf8ea2b89b17faf9f | [
"MIT"
] | 2 | 2020-03-07T20:21:18.000Z | 2020-11-06T22:36:57.000Z | tests/test_app/managers.py | cr0mbly/django-elasticsearch-model-binder | 59f3910e994bf4cb44df53adf8ea2b89b17faf9f | [
"MIT"
] | null | null | null | tests/test_app/managers.py | cr0mbly/django-elasticsearch-model-binder | 59f3910e994bf4cb44df53adf8ea2b89b17faf9f | [
"MIT"
] | null | null | null | from django.db.models import QuerySet
from django_elasticsearch_model_binder.mixins import ESQuerySetMixin
class ESEnabledQuerySet(ESQuerySetMixin, QuerySet):
"""
Stub manager with Elasticsearch enhanced operations.
"""
pass
| 22.181818 | 68 | 0.782787 |
b370ced844893b7adfa80712517d324dae4e44da | 4,412 | py | Python | stats/count_diffexp_general.py | bgruening/bcbb | dbfb52711f0bfcc1d26c5a5b53c9ff4f50dc0027 | [
"MIT"
] | 339 | 2015-01-04T13:23:04.000Z | 2022-03-25T23:09:09.000Z | stats/count_diffexp_general.py | bgruening/bcbb | dbfb52711f0bfcc1d26c5a5b53c9ff4f50dc0027 | [
"MIT"
] | 39 | 2015-01-14T21:31:09.000Z | 2021-11-18T15:15:33.000Z | stats/count_diffexp_general.py | bgruening/bcbb | dbfb52711f0bfcc1d26c5a5b53c9ff4f50dc0027 | [
"MIT"
] | 176 | 2015-01-10T17:40:44.000Z | 2022-03-25T05:14:21.000Z | #!/usr/bin/env python
"""Calculate differentially expressed genes using EdgeR from bioconductor.
http://bioconductor.org/packages/2.5/bioc/html/edgeR.html
Usage:
count_diffexp.py <count_file>
"""
import os
import sys
import csv
import collections
import numpy
import rpy2.robjects as robjects
import rpy2.robjects... | 36.46281 | 80 | 0.635539 |
5f19c312f50b97bf4c8afdf89085033dd3813c25 | 15,550 | py | Python | src/fattoush/config/config_group.py | alistair-broomhead/fattoush | 482000c2e09661e10d5846dbef35c3621897f3c3 | [
"MIT"
] | null | null | null | src/fattoush/config/config_group.py | alistair-broomhead/fattoush | 482000c2e09661e10d5846dbef35c3621897f3c3 | [
"MIT"
] | 4 | 2016-11-02T10:18:24.000Z | 2019-02-14T16:18:48.000Z | src/fattoush/config/config_group.py | alistair-broomhead/fattoush | 482000c2e09661e10d5846dbef35c3621897f3c3 | [
"MIT"
] | null | null | null | """
Functions and classes for taking commandline arguments and forming an
object which will give you a set of FattoushConfig objects, each of
which contains all the information necessary to run lettuce against a
specified webdriver configuration, whither in saucelabs or local.
"""
import copy
import json
import multipr... | 34.632517 | 79 | 0.460514 |
f28a4b2a6969890b6605507b492ffa11352ba347 | 32,128 | py | Python | Lib/test/test_cmd_line.py | haojunyu/cpython | a8ddf85a84364d2c660e6670a7e06621993d1fdc | [
"PSF-2.0"
] | null | null | null | Lib/test/test_cmd_line.py | haojunyu/cpython | a8ddf85a84364d2c660e6670a7e06621993d1fdc | [
"PSF-2.0"
] | null | null | null | Lib/test/test_cmd_line.py | haojunyu/cpython | a8ddf85a84364d2c660e6670a7e06621993d1fdc | [
"PSF-2.0"
] | null | null | null | # Tests invocation of the interpreter with various command line arguments
# Most tests are executed with environment variables ignored
# See test_cmd_line_script.py for testing of script execution
import os
import subprocess
import sys
import sysconfig
import tempfile
import unittest
from test import support
from test... | 40.979592 | 99 | 0.563216 |
121307385d7eebc0e50827fba8c5097e2ec624bc | 27,334 | py | Python | python/tvm/relay/frontend/qnn_torch.py | janifer112x/incubator-tvm | 98c2096f4944bdbdbbb2b7b20ccd35c6c11dfbf6 | [
"Apache-2.0"
] | 22 | 2022-03-18T07:29:31.000Z | 2022-03-23T14:54:32.000Z | python/tvm/relay/frontend/qnn_torch.py | janifer112x/incubator-tvm | 98c2096f4944bdbdbbb2b7b20ccd35c6c11dfbf6 | [
"Apache-2.0"
] | 3 | 2020-04-20T15:37:55.000Z | 2020-05-13T05:34:28.000Z | python/tvm/relay/frontend/qnn_torch.py | janifer112x/incubator-tvm | 98c2096f4944bdbdbbb2b7b20ccd35c6c11dfbf6 | [
"Apache-2.0"
] | 2 | 2020-07-12T11:34:26.000Z | 2020-10-09T02:57:06.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.04359 | 99 | 0.63507 |
e9ae7827ad7a9c9e3740a7fe57d8a797f73bea6f | 163 | py | Python | examples/language/python.py | fiugd/welcome | 1652bbf9f2829a3a4dfa689f9662d3cfeb4487e8 | [
"MIT"
] | 2 | 2021-06-21T17:35:12.000Z | 2021-06-22T07:15:30.000Z | languages/python.py | fiugd/plugins | 0440cd7c5d07a252ef4c4f08e20125512be5197c | [
"MIT"
] | 2 | 2021-11-20T19:17:22.000Z | 2021-12-22T21:49:14.000Z | examples/language/python.py | fiugd/welcome | 1652bbf9f2829a3a4dfa689f9662d3cfeb4487e8 | [
"MIT"
] | 2 | 2021-02-02T00:53:07.000Z | 2021-06-21T17:35:26.000Z | def fib():
a, b = 0, 1
while True:
yield a
a, b = b, a + b
for index, fibonacci_number in zip(range(10), fib()):
print('{f:3}'.format(f=fibonacci_number))
| 18.111111 | 53 | 0.607362 |
781fa823f59e9bba404c57e70e218332afff100e | 1,434 | py | Python | products/migrations/0001_initial.py | deepindo/DoPython | d80b85b3b24566de6ece9f452564e4827e705959 | [
"MIT"
] | 4 | 2022-01-04T09:56:19.000Z | 2022-01-20T12:14:16.000Z | products/migrations/0001_initial.py | deepindo/DoPython | d80b85b3b24566de6ece9f452564e4827e705959 | [
"MIT"
] | null | null | null | products/migrations/0001_initial.py | deepindo/DoPython | d80b85b3b24566de6ece9f452564e4827e705959 | [
"MIT"
] | 1 | 2022-01-20T09:40:16.000Z | 2022-01-20T09:40:16.000Z | # Generated by Django 4.0 on 2021-12-29 08:04
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Product',
fields=[
... | 40.971429 | 162 | 0.586471 |
e67c90523d75e084738715ca069a1154f32c9b88 | 3,932 | py | Python | hiMoon/__main__.py | sadams2013/hiMoon | 3ccfd61cfb5941d3e582fee359700af1ddacb1b3 | [
"Apache-2.0"
] | 4 | 2019-08-25T08:04:11.000Z | 2022-02-02T01:08:16.000Z | hiMoon/__main__.py | sadams2013/hiMoon | 3ccfd61cfb5941d3e582fee359700af1ddacb1b3 | [
"Apache-2.0"
] | null | null | null | hiMoon/__main__.py | sadams2013/hiMoon | 3ccfd61cfb5941d3e582fee359700af1ddacb1b3 | [
"Apache-2.0"
] | 2 | 2019-03-15T15:28:02.000Z | 2019-05-21T14:09:09.000Z | # Copyright 2021 Solomon M. Adams
# 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 applicable law or ag... | 41.829787 | 143 | 0.622838 |
8c3224ad53c79ee22e9f63086ffa8af40a377105 | 2,801 | py | Python | python/qpid_dispatch_internal/router/hello.py | jdanekrh/qpid-dispatch-fuzz | e7bcfea402852524ad4ef3c50795fb7cbecebf67 | [
"Apache-2.0"
] | null | null | null | python/qpid_dispatch_internal/router/hello.py | jdanekrh/qpid-dispatch-fuzz | e7bcfea402852524ad4ef3c50795fb7cbecebf67 | [
"Apache-2.0"
] | null | null | null | python/qpid_dispatch_internal/router/hello.py | jdanekrh/qpid-dispatch-fuzz | e7bcfea402852524ad4ef3c50795fb7cbecebf67 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 40.014286 | 116 | 0.659764 |
c3f657baa7a0c5ba40949093837f09a5936b4160 | 1,432 | py | Python | bin/azure/mgmt/datalake/analytics/job/models/job_data_path.py | zdmc23/bash-lambda-layer | e762df0189cfb894dab2d96bae1655b8857d5efb | [
"MIT"
] | null | null | null | bin/azure/mgmt/datalake/analytics/job/models/job_data_path.py | zdmc23/bash-lambda-layer | e762df0189cfb894dab2d96bae1655b8857d5efb | [
"MIT"
] | null | null | null | bin/azure/mgmt/datalake/analytics/job/models/job_data_path.py | zdmc23/bash-lambda-layer | e762df0189cfb894dab2d96bae1655b8857d5efb | [
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# C... | 31.822222 | 77 | 0.545391 |
8ea263b85762e56b7529dda414d958d20e7160cb | 667 | py | Python | tel/paramspec/patsearchdb.py | note/Toolkit | 24a3cd8af155c91ffa8d2bbc33b732f1fc51943b | [
"BSL-1.0",
"CC-BY-3.0",
"Apache-2.0"
] | null | null | null | tel/paramspec/patsearchdb.py | note/Toolkit | 24a3cd8af155c91ffa8d2bbc33b732f1fc51943b | [
"BSL-1.0",
"CC-BY-3.0",
"Apache-2.0"
] | null | null | null | tel/paramspec/patsearchdb.py | note/Toolkit | 24a3cd8af155c91ffa8d2bbc33b732f1fc51943b | [
"BSL-1.0",
"CC-BY-3.0",
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
def print_args(args):
print(args[-1] + ' '+ '_'.join(args[:-1]))
def main(argv):
path = "%STANDARD/PATDB"
# If directory does not exist, print random stuff
if not os.path.exists(path):
print("foo bar")
return
args = []
with open(pat... | 23.821429 | 53 | 0.512744 |
d55a1626c70994138d79ea7c808888fbe7ba4189 | 1,833 | py | Python | src/utils/notifications/notification_manager.py | mfjkri/cdc-helper | e9f8fd7fc80aebe911985d22c6ca46406ccd2a8a | [
"MIT"
] | 7 | 2021-12-25T14:26:04.000Z | 2022-01-23T05:26:53.000Z | src/utils/notifications/notification_manager.py | mfjkri/cdc-helper | e9f8fd7fc80aebe911985d22c6ca46406ccd2a8a | [
"MIT"
] | null | null | null | src/utils/notifications/notification_manager.py | mfjkri/cdc-helper | e9f8fd7fc80aebe911985d22c6ca46406ccd2a8a | [
"MIT"
] | null | null | null | from src.utils.notifications.mail import Mail
from src.utils.notifications.telegram_bot import TelegramBot
class NotificationManager:
def __init__(self, log, mail_config:dict=None, telegram_config:dict=None):
self.mail_server = False
self.telegram_bot = False
if mail_config and ma... | 40.733333 | 95 | 0.644299 |
55ddc6af3653553b96be9309aa07d9cd9471fe2f | 10,357 | py | Python | tools/c7n_mailer/c7n_mailer/utils.py | fadiguezel/cloud-custodian | 147fffcf9a109ffd4248a746775b55def5a727c5 | [
"Apache-2.0"
] | null | null | null | tools/c7n_mailer/c7n_mailer/utils.py | fadiguezel/cloud-custodian | 147fffcf9a109ffd4248a746775b55def5a727c5 | [
"Apache-2.0"
] | null | null | null | tools/c7n_mailer/c7n_mailer/utils.py | fadiguezel/cloud-custodian | 147fffcf9a109ffd4248a746775b55def5a727c5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015-2017 Capital One Services, LLC
#
# 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 applicable law or agreed ... | 37.661818 | 86 | 0.590518 |
aa79ebd6289101ecaf710490558d47f97ce2c6cd | 1,570 | py | Python | data-src/context-generator.py | jeclarke/pnda-streaming-join-demo | 62dfce37a7e0e0a3f98aaf9ff86e7413e753b2c0 | [
"Apache-2.0"
] | null | null | null | data-src/context-generator.py | jeclarke/pnda-streaming-join-demo | 62dfce37a7e0e0a3f98aaf9ff86e7413e753b2c0 | [
"Apache-2.0"
] | null | null | null | data-src/context-generator.py | jeclarke/pnda-streaming-join-demo | 62dfce37a7e0e0a3f98aaf9ff86e7413e753b2c0 | [
"Apache-2.0"
] | null | null | null | #
# Name: context.py
# Purpose: generate a context dataset
# Author: PNDA team
#
# Created: 31/07/2017
#
#
#
# Copyright (c) 2017 Cisco and/or its affiliates.
#
# This software is licensed to you under the terms of the Apache License, Version 2.0 (the "License").
# You may obtain a copy of the License a... | 36.511628 | 112 | 0.680892 |
70275b5dd36f0867ff339d7c23141a54864e3451 | 9,786 | py | Python | source/analysis/analysis_runner.py | marta18a/sleep_classifiers | 75aaae37dafe752909cf56351911e246a4febb4d | [
"MIT"
] | null | null | null | source/analysis/analysis_runner.py | marta18a/sleep_classifiers | 75aaae37dafe752909cf56351911e246a4febb4d | [
"MIT"
] | null | null | null | source/analysis/analysis_runner.py | marta18a/sleep_classifiers | 75aaae37dafe752909cf56351911e246a4febb4d | [
"MIT"
] | null | null | null | import time
from sklearn.neural_network import MLPClassifier
from source import utils
from source.analysis.classification.classifier_summary_builder import SleepWakeClassifierSummaryBuilder, \
ThreeClassClassifierSummaryBuilder
from source.analysis.figures.curve_plot_builder import CurvePlotBuilder
from source.an... | 48.686567 | 137 | 0.709074 |
983bc26c80bd2df86e7e0ca158b1a7e03ecc4035 | 11,341 | py | Python | utils/libcxx/compiler.py | CandyRoms/external_libcxx | c0d03d94a7b0b9f7734d0b989878c4ca152e82ff | [
"MIT"
] | 1 | 2019-12-08T05:50:49.000Z | 2019-12-08T05:50:49.000Z | utils/libcxx/compiler.py | CandyRoms/external_libcxx | c0d03d94a7b0b9f7734d0b989878c4ca152e82ff | [
"MIT"
] | null | null | null | utils/libcxx/compiler.py | CandyRoms/external_libcxx | c0d03d94a7b0b9f7734d0b989878c4ca152e82ff | [
"MIT"
] | null | null | null | #===----------------------------------------------------------------------===##
#
# The LLVM Compiler Infrastructure
#
# This file is dual licensed under the MIT and the University of Illinois Open
# Source Licenses. See LICENSE.TXT for details.
#
#===------------------------------------------------... | 38.972509 | 79 | 0.563707 |
5060922cc0b68dc96455eb73545bf883d3e07dda | 543 | py | Python | store/migrations/0005_auto_20211028_2003.py | rafaellima47/django-ecommerce | 2226bed457ba804ca1a55fb24b94a2b6048f54e7 | [
"MIT"
] | null | null | null | store/migrations/0005_auto_20211028_2003.py | rafaellima47/django-ecommerce | 2226bed457ba804ca1a55fb24b94a2b6048f54e7 | [
"MIT"
] | null | null | null | store/migrations/0005_auto_20211028_2003.py | rafaellima47/django-ecommerce | 2226bed457ba804ca1a55fb24b94a2b6048f54e7 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-10-28 20:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0004_rename_avg_rate_product_avarage_rate'),
]
operations = [
migrations.RemoveField(
model_name='product',
... | 23.608696 | 84 | 0.600368 |
73fd01ff6099f25b6bbf5346a5fcacc187aca809 | 1,771 | py | Python | python/random-scripts/python course/clase3.py | Eduardogit/HackProjects | 820525c775c0066f09b48725dbfc217faad969ae | [
"MIT"
] | null | null | null | python/random-scripts/python course/clase3.py | Eduardogit/HackProjects | 820525c775c0066f09b48725dbfc217faad969ae | [
"MIT"
] | null | null | null | python/random-scripts/python course/clase3.py | Eduardogit/HackProjects | 820525c775c0066f09b48725dbfc217faad969ae | [
"MIT"
] | null | null | null | #!/usr/bin/python
print "\n\n\t\tSecuencias de escape \n\n"
time.sleep(1.2)
usage_escape =[
"\n <-- nueva linea \n"
+"\\ <--Barra invertida \n"
+"\' <--Comilla simple \n"
+"\" <--Comilla doble \n"
+"\a <--Campanilla "
+"\b <--Retroceso ... | 18.447917 | 83 | 0.579898 |
fdc2a4af220e1aca41fdf3b9e313913ef83f210f | 495 | py | Python | packages/python/plotly/plotly/validators/volume/stream/_token.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/volume/stream/_token.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/volume/stream/_token.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class TokenValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="token", parent_name="volume.stream", **kwargs):
super(TokenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | 35.357143 | 83 | 0.646465 |
33e76a50c28a1b5743801a6e7fb9bcbca10b2453 | 67 | py | Python | day3/solutions/line-exercise1.py | Jupiter1994/usrp-sciprog | e187636aef993ce159c40bdd5c31804d66c6031a | [
"MIT"
] | null | null | null | day3/solutions/line-exercise1.py | Jupiter1994/usrp-sciprog | e187636aef993ce159c40bdd5c31804d66c6031a | [
"MIT"
] | null | null | null | day3/solutions/line-exercise1.py | Jupiter1994/usrp-sciprog | e187636aef993ce159c40bdd5c31804d66c6031a | [
"MIT"
] | 2 | 2022-03-17T14:33:37.000Z | 2022-03-17T14:34:14.000Z | x = rnd.uniform(0, 2., n_data)
x.sort() # sort the values in place
| 22.333333 | 35 | 0.656716 |
8005d0a0825fdca5635986bb90f72946761b57ac | 141 | py | Python | misura/canon/parameters.py | tainstr/misura.canon | 726cd8eb6f28070dad3332b8708fc17261de8f94 | [
"MIT"
] | 1 | 2021-03-19T05:54:20.000Z | 2021-03-19T05:54:20.000Z | misura/canon/parameters.py | tainstr/misura.canon | 726cd8eb6f28070dad3332b8708fc17261de8f94 | [
"MIT"
] | null | null | null | misura/canon/parameters.py | tainstr/misura.canon | 726cd8eb6f28070dad3332b8708fc17261de8f94 | [
"MIT"
] | 2 | 2016-03-25T09:13:16.000Z | 2016-05-07T20:42:07.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Common module parameters"""
import tables
cfilter = tables.Filters(complevel=5, complib='zlib')
| 23.5 | 53 | 0.687943 |
0080a87756ab8df627760918b83d65934f84d382 | 7,471 | py | Python | sync_report.py | pcstout/ghap_migrator | b50b960ed677f9ff392ea09eb1dad0486a990c12 | [
"Apache-2.0"
] | 1 | 2018-12-07T17:20:01.000Z | 2018-12-07T17:20:01.000Z | sync_report.py | pcstout/ghap_to_synapse | b50b960ed677f9ff392ea09eb1dad0486a990c12 | [
"Apache-2.0"
] | 1 | 2019-08-29T16:48:28.000Z | 2019-08-29T17:42:40.000Z | sync_report.py | ki-tools/ghap_to_synapse | b50b960ed677f9ff392ea09eb1dad0486a990c12 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2017-present, Bill & Melinda Gates Foundation
#
# 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 ... | 39.951872 | 116 | 0.608218 |
72d75949b1a606681c13fc86eda59c63415248b6 | 17,291 | py | Python | commands/Music.py | zeuschops/ideal-train | 9b55d8af109dc468feba075b6b5cacc9e54dc128 | [
"MIT"
] | null | null | null | commands/Music.py | zeuschops/ideal-train | 9b55d8af109dc468feba075b6b5cacc9e54dc128 | [
"MIT"
] | null | null | null | commands/Music.py | zeuschops/ideal-train | 9b55d8af109dc468feba075b6b5cacc9e54dc128 | [
"MIT"
] | null | null | null | #Pulled from; https://gist.github.com/vbe0201/ade9b80f2d3b64643d854938d40a0a2d
import asyncio
import functools
import itertools
import math
import random
import discord
import youtube_dl
from async_timeout import timeout
from discord.ext import commands
#Silence useless bug report messages... :eyes:
youtube_dl.utils.... | 34.860887 | 139 | 0.615349 |
eed6f90d8c84b4bc3ade67df06235255bda536bb | 1,397 | py | Python | setup.py | marcsello/pyprocsync | d574017c969ba008d02aec54d651fb29b91c7f10 | [
"MIT"
] | null | null | null | setup.py | marcsello/pyprocsync | d574017c969ba008d02aec54d651fb29b91c7f10 | [
"MIT"
] | null | null | null | setup.py | marcsello/pyprocsync | d574017c969ba008d02aec54d651fb29b91c7f10 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = ['redis~=3.5.3', ]
setup_requirements = ['pytest-runner', ]
... | 29.104167 | 72 | 0.659986 |
65be1c259724491177b555d24ae8d6f2ad2b2c64 | 2,000 | py | Python | dns/rdtypes/IN/AAAA.py | preo/dnspython | 465785f85f87508209117264c677080e901e957c | [
"0BSD"
] | null | null | null | dns/rdtypes/IN/AAAA.py | preo/dnspython | 465785f85f87508209117264c677080e901e957c | [
"0BSD"
] | null | null | null | dns/rdtypes/IN/AAAA.py | preo/dnspython | 465785f85f87508209117264c677080e901e957c | [
"0BSD"
] | null | null | null | # Copyright (C) 2003-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "... | 37.037037 | 79 | 0.7015 |
e6d322601a54644dfb3f1e62007eeed5836047c9 | 15,741 | py | Python | cnn_quantization/tf_cnn_benchmarks/ssd_dataloader.py | FGDBTKD/google-research | 5c50ff41bbd25851e188ed2c1289306c7ba46358 | [
"Apache-2.0"
] | 1 | 2018-10-30T02:11:10.000Z | 2018-10-30T02:11:10.000Z | cnn_quantization/tf_cnn_benchmarks/ssd_dataloader.py | FGDBTKD/google-research | 5c50ff41bbd25851e188ed2c1289306c7ba46358 | [
"Apache-2.0"
] | null | null | null | cnn_quantization/tf_cnn_benchmarks/ssd_dataloader.py | FGDBTKD/google-research | 5c50ff41bbd25851e188ed2c1289306c7ba46358 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google Research Authors.
#
# 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... | 38.962871 | 112 | 0.695 |
71cfa759b413a1b0a19910acaf3d859b366d078d | 1,242 | py | Python | all_names/json_to_txt_names.py | thinkmpink/police-fatalities-sample | a79fe6433c62879c6d1b9618ae2fd40c4a9aae11 | [
"MIT"
] | null | null | null | all_names/json_to_txt_names.py | thinkmpink/police-fatalities-sample | a79fe6433c62879c6d1b9618ae2fd40c4a9aae11 | [
"MIT"
] | null | null | null | all_names/json_to_txt_names.py | thinkmpink/police-fatalities-sample | a79fe6433c62879c6d1b9618ae2fd40c4a9aae11 | [
"MIT"
] | null | null | null | import argparse, codecs, getpass, json
"""
Writes all scraped CoreNLP NER names from all_names/all_names_<dataset>.json to
all_names/<dataset>_names_only.txt
"""
def write_names(month, year):
fpath = '/home/{}/newsevents/post_extract_tests/'.format(getpass.getuser())
readf = '{}all_names/all_names_{:d}_{:d}... | 35.485714 | 80 | 0.647343 |
c1a22f547a86c1c9d4a89d384da0258285506d69 | 70,139 | py | Python | pandas/tseries/index.py | zouguangxian/pandas | 034c99491eddaed6964be6aabb727a4bbc24a71c | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2021-07-06T23:36:28.000Z | 2021-07-06T23:36:28.000Z | pandas/tseries/index.py | zouguangxian/pandas | 034c99491eddaed6964be6aabb727a4bbc24a71c | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | pandas/tseries/index.py | zouguangxian/pandas | 034c99491eddaed6964be6aabb727a4bbc24a71c | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | # pylint: disable=E1101
import operator
from datetime import time, datetime
from datetime import timedelta
import numpy as np
from pandas.core.common import (isnull, _NS_DTYPE, _INT64_DTYPE,
is_list_like,_values_from_object, _maybe_box,
notnull, ABCSeri... | 33.704469 | 112 | 0.561899 |
b1e4134e232088276c640a3cfc5fc16a1c88c29b | 184 | py | Python | app/utils/__init__.py | Rainlv/DeepGIS-BackEnd- | 5478839f60763fd93cc55c3f75b5ec808ead59e6 | [
"MIT"
] | null | null | null | app/utils/__init__.py | Rainlv/DeepGIS-BackEnd- | 5478839f60763fd93cc55c3f75b5ec808ead59e6 | [
"MIT"
] | null | null | null | app/utils/__init__.py | Rainlv/DeepGIS-BackEnd- | 5478839f60763fd93cc55c3f75b5ec808ead59e6 | [
"MIT"
] | null | null | null | # !/usr/bin/env Python3
# -*- coding:utf-8 -*-
"""
@FileName :__init__.py.py
@Time :2022/01/23 17:40
@Author :Xuanh.W
@Usage :
"""
if __name__ == "__main__":
pass
| 16.727273 | 29 | 0.548913 |
77b68fd95b6664a55da8072463a4e4a5ca690ee7 | 892 | py | Python | src/leetcode_204_count_primes.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | src/leetcode_204_count_primes.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | src/leetcode_204_count_primes.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | # @l2g 204 python3
# [204] Count Primes
# Difficulty: Easy
# https://leetcode.com/problems/count-primes
#
# Count the number of prime numbers less than a non-negative number, n.
#
# Example 1:
#
# Input: n = 10
# Output: 4
# Explanation: There are 4 prime numbers less than 10, they are 2, 3, 5, 7.
#
# Example 2:
#
# In... | 16.830189 | 75 | 0.522422 |
5188b36d2707646548173d3eac81fcc3b765d34f | 116 | py | Python | launcher.py | xKynn/InspireBot | 4b1e8b1547579448dda7220f4de099f8c2d1bcf3 | [
"MIT"
] | 1 | 2018-07-26T18:50:41.000Z | 2018-07-26T18:50:41.000Z | launcher.py | xKynn/InspireBot | 4b1e8b1547579448dda7220f4de099f8c2d1bcf3 | [
"MIT"
] | null | null | null | launcher.py | xKynn/InspireBot | 4b1e8b1547579448dda7220f4de099f8c2d1bcf3 | [
"MIT"
] | null | null | null | from bot import InspireBot
def main():
bot = InspireBot()
bot.run()
if __name__ == '__main__':
main()
| 12.888889 | 26 | 0.612069 |
c159aec060d63b9a37233fe4b6bbac4dabef1cbb | 1,395 | py | Python | openslides/account/widgets.py | DerPate/OpenSlides | 2733a47d315fec9b8f3cb746fd5f3739be225d65 | [
"MIT"
] | 1 | 2015-03-22T02:07:23.000Z | 2015-03-22T02:07:23.000Z | openslides/account/widgets.py | frauenknecht/OpenSlides | 6521d6b095bca33dc0c5f09f59067551800ea1e3 | [
"MIT"
] | null | null | null | openslides/account/widgets.py | frauenknecht/OpenSlides | 6521d6b095bca33dc0c5f09f59067551800ea1e3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.contrib.auth.models import AnonymousUser
from django.utils.translation import ugettext_lazy
from openslides.utils.personal_info import PersonalInfo
from openslides.utils.widgets import Widget
class PersonalInfoWidget(Widget):
"""
Provides a widget for personal info. It sh... | 31.704545 | 121 | 0.66595 |
b999bb889642b2b8a612c2ee2569bdad063307d6 | 1,426 | py | Python | Python/buffer.py | embeddedalpha/Miscellaneous | 360eecac14b8504b32dd4be5634d06abee7c15ec | [
"MIT"
] | 1 | 2020-02-27T06:52:02.000Z | 2020-02-27T06:52:02.000Z | Python/buffer.py | embeddedalpha/Miscellaneous | 360eecac14b8504b32dd4be5634d06abee7c15ec | [
"MIT"
] | null | null | null | Python/buffer.py | embeddedalpha/Miscellaneous | 360eecac14b8504b32dd4be5634d06abee7c15ec | [
"MIT"
] | null | null | null | class Buffer:
def __init__(self,s):
'''Buffer a pre-created socket.
'''
self.sock = s
self.buffer = b''
def get_bytes(self,n):
'''Read exactly n bytes from the buffered socket.
Return remaining buffer if <n bytes remain and socket closes.
'''... | 33.952381 | 80 | 0.530856 |
144f62641e9b3e5cd5ba6ce89e7e8dd1d2ed6be1 | 6,829 | py | Python | finish.py | BotanyHunter/QuartetAnalysis | c9b21aac267718be5ea8a8a76632fc0a3feb8403 | [
"MIT"
] | null | null | null | finish.py | BotanyHunter/QuartetAnalysis | c9b21aac267718be5ea8a8a76632fc0a3feb8403 | [
"MIT"
] | null | null | null | finish.py | BotanyHunter/QuartetAnalysis | c9b21aac267718be5ea8a8a76632fc0a3feb8403 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#version 2.0.6
import os,re,optparse,tarfile
from quartet_condor import *
from fileWriter_condor import *
from fileReader_condor import *
from arguments import *
from errorcodes import *
splitOrder = ["{1,2|3,4}", "{1,3|2,4}", "{1,4|2,3}"]
translation = { 1234 : [1,2,3], 1243 : [1,3,2], 1324 : [2,1,... | 37.31694 | 144 | 0.571533 |
9fddd69c77529de256e8c6249894c994024d8aaa | 1,587 | py | Python | pypy/rpython/memory/gcheader.py | camillobruni/pygirl | ddbd442d53061d6ff4af831c1eab153bcc771b5a | [
"MIT"
] | 12 | 2016-01-06T07:10:28.000Z | 2021-05-13T23:02:02.000Z | pypy/rpython/memory/gcheader.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | null | null | null | pypy/rpython/memory/gcheader.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | 2 | 2016-07-29T07:09:50.000Z | 2016-10-16T08:50:26.000Z | import weakref
from pypy.rpython.lltypesystem import lltype, llmemory
# this is global because a header cannot be a header of more than one GcObj
header2obj = weakref.WeakKeyDictionary()
class GCHeaderBuilder(object):
def __init__(self, HDR):
"""NOT_RPYTHON"""
self.HDR = HDR
self.obj2he... | 33.0625 | 75 | 0.687461 |
7b877c21c51857fc3f22134e769bf10bf881aecc | 593 | py | Python | setup.py | mjkleiman/stochastiCV | d1e2b8374c2c90d849a465a78553589f2c1960cb | [
"BSD-3-Clause"
] | null | null | null | setup.py | mjkleiman/stochastiCV | d1e2b8374c2c90d849a465a78553589f2c1960cb | [
"BSD-3-Clause"
] | null | null | null | setup.py | mjkleiman/stochastiCV | d1e2b8374c2c90d849a465a78553589f2c1960cb | [
"BSD-3-Clause"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='stochastiCV',
packages=find_packages(
where = 'stochastiCV'
),
version='0.2.0',
description='A method of cross-validation based on scikit-learn that splits data into train/valid/test splits two or more times (using random or assigned ... | 42.357143 | 336 | 0.74199 |
504f522daba23451b7fa5ee5ea5b3b28ee94f6c3 | 635 | py | Python | tests/test_actions.py | aeflores/angr | ac85a3f168375ed0ee20551b1b716c1bff4ac02b | [
"BSD-2-Clause"
] | 2 | 2018-12-03T23:14:56.000Z | 2018-12-03T23:15:57.000Z | tests/test_actions.py | aeflores/angr | ac85a3f168375ed0ee20551b1b716c1bff4ac02b | [
"BSD-2-Clause"
] | 2 | 2018-11-13T16:19:16.000Z | 2018-12-10T15:45:53.000Z | tests/test_actions.py | aeflores/angr | ac85a3f168375ed0ee20551b1b716c1bff4ac02b | [
"BSD-2-Clause"
] | 1 | 2020-11-18T16:39:13.000Z | 2020-11-18T16:39:13.000Z | import angr
from angr import SimState, SIM_PROCEDURES
from angr.engines import SimEngineProcedure
import nose
FAKE_ADDR = 0x100000
def test_procedure_actions():
s = SimState(arch='AMD64')
s.registers.store('rbx', 2)
proc = SIM_PROCEDURES['testing']['retreg'](reg='rbx')
succ = SimEngineProcedure().pro... | 30.238095 | 73 | 0.725984 |
ed36b33e11c16921d1ffc69719c92425353b9847 | 7,944 | py | Python | src/compas_fea/utilities/meshing.py | franaudo/fea | e164256bac179116520d19d6fc54c98de0610896 | [
"MIT"
] | 28 | 2018-02-16T17:21:47.000Z | 2022-02-27T21:42:17.000Z | src/compas_fea/utilities/meshing.py | franaudo/fea | e164256bac179116520d19d6fc54c98de0610896 | [
"MIT"
] | 115 | 2017-11-30T17:12:47.000Z | 2022-01-26T07:41:34.000Z | src/compas_fea/utilities/meshing.py | franaudo/fea | e164256bac179116520d19d6fc54c98de0610896 | [
"MIT"
] | 13 | 2018-05-08T13:03:28.000Z | 2022-01-23T13:37:06.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from compas.geometry import add_vectors
from compas.geometry import centroid_points
from compas.geometry import cross_vectors
from compas.geometry import length_vector
from compas.geometry import normalize_vect... | 28.782609 | 114 | 0.586732 |
91f3ed13c9c986393a43b9709ebcb6639009528b | 14,621 | py | Python | src/reporter/tests/test_1T1E1A.py | chicco785/ngsi-timeseries-api | 6f8ca2e277960bc9549e3fd79350732e459a345f | [
"MIT"
] | null | null | null | src/reporter/tests/test_1T1E1A.py | chicco785/ngsi-timeseries-api | 6f8ca2e277960bc9549e3fd79350732e459a345f | [
"MIT"
] | null | null | null | src/reporter/tests/test_1T1E1A.py | chicco785/ngsi-timeseries-api | 6f8ca2e277960bc9549e3fd79350732e459a345f | [
"MIT"
] | 1 | 2020-11-11T16:26:52.000Z | 2020-11-11T16:26:52.000Z | from conftest import QL_URL
from datetime import datetime
from exceptions.exceptions import AmbiguousNGSIIdError
from reporter.tests.utils import insert_test_data, delete_test_data
from utils.tests.common import assert_equal_time_index_arrays
import dateutil.parser
import pytest
import requests
entity_type = 'Room'
en... | 29.009921 | 79 | 0.625881 |
999c51397a9c5b37c0163e51565e1ec12e399bef | 17,928 | py | Python | cell_cycle_classifier/features.py | sanansakura/cell_cycle_classifier | 8668c60b5d20cf02794af1518beecf4b2ef36251 | [
"MIT"
] | null | null | null | cell_cycle_classifier/features.py | sanansakura/cell_cycle_classifier | 8668c60b5d20cf02794af1518beecf4b2ef36251 | [
"MIT"
] | null | null | null | cell_cycle_classifier/features.py | sanansakura/cell_cycle_classifier | 8668c60b5d20cf02794af1518beecf4b2ef36251 | [
"MIT"
] | null | null | null | import logging
import joblib
import seaborn
import scipy.stats
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
from sklearn.utils import shuffle
all_feature_names = [
'slope',
'slope0'... | 40.017857 | 137 | 0.646029 |
c6a32c1d7a1f6fc573b1fdcfc4b0054ac713cb6f | 984 | py | Python | astropy/wcs/tests/conftest.py | emirkmo/astropy | d96cd45b25ae55117d1bcc9c40e83a82037fc815 | [
"BSD-3-Clause"
] | 1 | 2019-03-11T12:26:49.000Z | 2019-03-11T12:26:49.000Z | astropy/wcs/tests/conftest.py | emirkmo/astropy | d96cd45b25ae55117d1bcc9c40e83a82037fc815 | [
"BSD-3-Clause"
] | 1 | 2019-10-09T18:54:27.000Z | 2019-10-09T18:54:27.000Z | astropy/wcs/tests/conftest.py | emirkmo/astropy | d96cd45b25ae55117d1bcc9c40e83a82037fc815 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
from astropy import wcs
from . helper import SimModelTAB
@pytest.fixture(scope='module')
def tab_wcs_2di():
model = SimModelTAB(nx=150, ny=200)
# generate FITS HDU list:
hdulist = model.hdulist
# create WCS object:
... | 17.890909 | 63 | 0.659553 |
1dfc42f925119d9b9e942a85ffba557176a6d1e9 | 234 | py | Python | Areaofcircle.py | S230102/Python-Practice | 19615434801892f562246996ccc651c0b1216243 | [
"MIT"
] | null | null | null | Areaofcircle.py | S230102/Python-Practice | 19615434801892f562246996ccc651c0b1216243 | [
"MIT"
] | null | null | null | Areaofcircle.py | S230102/Python-Practice | 19615434801892f562246996ccc651c0b1216243 | [
"MIT"
] | null | null | null | PI=3.14
r=float(input("Enter the radius of a circle:"))
area=PI*r*r
print("Area of circle = %.2f"%area)
filename = input("Input the Filename: ")
f_extns = filename.split(".")
print("The extension of the file is: "+repr(f_extns[-1]))
| 26 | 57 | 0.679487 |
3255b84806fd7f386aa6c0ff199aba3379c84003 | 6,224 | py | Python | Testcase6-Startup-breakdown/OpenWhisk/C-hello/test/run.py | ServerlessBench/ServerlessBench | cf03f2b7010a47291ec9efcd4bb9d4284cadbf92 | [
"MulanPSL-1.0"
] | 27 | 2020-08-09T01:57:48.000Z | 2021-07-24T07:30:32.000Z | Testcase6-Startup-breakdown/OpenWhisk/C-hello/test/run.py | ZYH1120/ServerlessBench | d204fc1caf745d0421ab42aa8885f159f19fe8ae | [
"MulanPSL-1.0"
] | null | null | null | Testcase6-Startup-breakdown/OpenWhisk/C-hello/test/run.py | ZYH1120/ServerlessBench | d204fc1caf745d0421ab42aa8885f159f19fe8ae | [
"MulanPSL-1.0"
] | 3 | 2020-08-28T07:08:28.000Z | 2021-07-24T07:32:18.000Z |
# Copyright (c) 2020 Institution of Parallel and Distributed System, Shanghai Jiao Tong University
# ServerlessBench is licensed under the Mulan PSL v1.
# You can use this software according to the terms and conditions of the Mulan PSL v1.
# You may obtain a copy of Mulan PSL v1 at:
# http://license.coscl.org.cn/M... | 36.397661 | 133 | 0.606041 |
303ff8f72af7a047cd895f7077c5966d0381bcb4 | 3,012 | py | Python | src/main/python/shabda/data/preprocessor/simple_speech_preprocessor.py | dhiraa/sabdha | f428418962dcc76f49e0a451ffc0545fda9b6b59 | [
"Apache-2.0"
] | 4 | 2018-10-26T07:00:34.000Z | 2020-10-07T01:03:08.000Z | src/main/python/shabda/data/preprocessor/simple_speech_preprocessor.py | dhiraa/sabdha | f428418962dcc76f49e0a451ffc0545fda9b6b59 | [
"Apache-2.0"
] | null | null | null | src/main/python/shabda/data/preprocessor/simple_speech_preprocessor.py | dhiraa/sabdha | f428418962dcc76f49e0a451ffc0545fda9b6b59 | [
"Apache-2.0"
] | 1 | 2018-10-26T07:00:38.000Z | 2018-10-26T07:00:38.000Z | # import os
# import re
# import numpy as np
# from scipy.io import wavfile
# from glob import glob
# from tqdm import tqdm
# # it's a magic function :)
# from tensorflow.contrib.learn.python.learn.learn_io.generator_io import generator_input_fn
# from sarvam.helpers.print_helper import *
# from speech_recognition.sr_c... | 36.289157 | 100 | 0.570717 |
3c0a9e0e62964f6f1522bc1d3570a4ce0c38c21d | 2,282 | py | Python | cce/imports.py | cyberxml/django-cyberxml | 58722cd1ca5192851e894e60a063b6da84a14ed0 | [
"MIT"
] | null | null | null | cce/imports.py | cyberxml/django-cyberxml | 58722cd1ca5192851e894e60a063b6da84a14ed0 | [
"MIT"
] | null | null | null | cce/imports.py | cyberxml/django-cyberxml | 58722cd1ca5192851e894e60a063b6da84a14ed0 | [
"MIT"
] | null | null | null | import urllib
import os
import os.path
from zipfile import ZipFile
from django.conf import settings
from eulexistdb import db
from datetime import date
thisyear = date.today().year
media_root = settings.MEDIA_ROOT
cce_data_dir = media_root+'/data/nist.gov/nvd/cce/'
db_cce_nist_collection = '/db/cyberxml/data/cce/nis... | 27.829268 | 80 | 0.55872 |
2f1c3a10c8103ae250e0a91743131bb771a001d1 | 5,675 | py | Python | python3_cron_scripts/libs3/UltraDNSHelper.py | adobe/Marinus | fd648002fe79c0fafba7f43a5c96f5090ad3dbfb | [
"Apache-2.0"
] | 57 | 2019-01-16T22:40:58.000Z | 2022-03-15T21:34:24.000Z | python3_cron_scripts/libs3/UltraDNSHelper.py | adobe/Marinus | fd648002fe79c0fafba7f43a5c96f5090ad3dbfb | [
"Apache-2.0"
] | 3 | 2019-03-08T16:41:48.000Z | 2019-11-07T03:53:00.000Z | python3_cron_scripts/libs3/UltraDNSHelper.py | adobe/Marinus | fd648002fe79c0fafba7f43a5c96f5090ad3dbfb | [
"Apache-2.0"
] | 12 | 2019-01-17T20:06:46.000Z | 2022-01-09T23:06:19.000Z | #!/usr/bin/python3
# Copyright 2018 Adobe. All rights reserved.
# This file is licensed to you 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 requir... | 40.248227 | 100 | 0.629075 |
b580d3460ca133e773712224bdd55ff108b251e1 | 881 | py | Python | imperative/python/megengine/core/_trace_option.py | googol-lab/MegEngine | e0193cc4431371719a6ddb0fa85f910c5583bfc8 | [
"Apache-2.0"
] | 3 | 2021-08-08T12:55:53.000Z | 2021-12-10T06:01:04.000Z | imperative/python/megengine/core/_trace_option.py | MediosZ/MegEngine | 5c775d02dd0b8f20b5acc6b400cf722e92f2e86b | [
"Apache-2.0"
] | 6 | 2020-04-24T08:52:06.000Z | 2021-08-16T06:38:23.000Z | imperative/python/megengine/core/_trace_option.py | MediosZ/MegEngine | 5c775d02dd0b8f20b5acc6b400cf722e92f2e86b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | 27.53125 | 88 | 0.733258 |
47af5f5e4eca6f098f2be31a6057d8aec2e94d61 | 34,578 | py | Python | src/align/detect_face.py | Talgin/facerec | 6ec6d9fbb1c2cf4cc344decfa1ef012f43f7bbce | [
"MIT"
] | 269 | 2019-08-20T09:39:44.000Z | 2022-03-12T09:45:29.000Z | src/align/detect_face.py | Talgin/facerec | 6ec6d9fbb1c2cf4cc344decfa1ef012f43f7bbce | [
"MIT"
] | 25 | 2019-08-09T03:58:03.000Z | 2021-12-27T08:22:20.000Z | src/align/detect_face.py | Talgin/facerec | 6ec6d9fbb1c2cf4cc344decfa1ef012f43f7bbce | [
"MIT"
] | 64 | 2019-08-22T08:39:27.000Z | 2022-03-28T14:02:46.000Z | """ Tensorflow implementation of the face detection / alignment algorithm found at
https://github.com/kpzhang93/MTCNN_face_detection_alignment
"""
# MIT License
#
# Copyright (c) 2016 David Sandberg
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated docu... | 40.727915 | 150 | 0.561658 |
8db0a074fe88a9717f45fb62af955431774004ca | 10,236 | py | Python | run_webcamSplitScreen_angle_v2.py | AbdulSamadSethi/Intelligent-Personal-Trainer | c6266cb4bfca9d12e09966b69e43ecd856134d21 | [
"Apache-2.0"
] | null | null | null | run_webcamSplitScreen_angle_v2.py | AbdulSamadSethi/Intelligent-Personal-Trainer | c6266cb4bfca9d12e09966b69e43ecd856134d21 | [
"Apache-2.0"
] | null | null | null | run_webcamSplitScreen_angle_v2.py | AbdulSamadSethi/Intelligent-Personal-Trainer | c6266cb4bfca9d12e09966b69e43ecd856134d21 | [
"Apache-2.0"
] | null | null | null | import argparse
import logging
import time
import cv2
import re
import csv
import pandas as pd
import numpy as np
from contextlib import redirect_stdout
from tf_pose.estimator import TfPoseEstimator
from tf_pose.networks import get_graph_path, model_wh
import math
from dtaidistance import dtw
import PySimp... | 40.619048 | 141 | 0.564185 |
47b65923cd295b0dd06700181e4352964ba1f1a7 | 5,259 | py | Python | callerframe.py | simone-campagna/callerframe | 2327373cd1bdf24fb48f1b73dba0cf86f7de99e4 | [
"Apache-2.0"
] | 1 | 2015-10-05T07:16:49.000Z | 2015-10-05T07:16:49.000Z | callerframe.py | simone-campagna/callerframe | 2327373cd1bdf24fb48f1b73dba0cf86f7de99e4 | [
"Apache-2.0"
] | null | null | null | callerframe.py | simone-campagna/callerframe | 2327373cd1bdf24fb48f1b73dba0cf86f7de99e4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2013 Simone Campagna
#
# 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 applicable... | 29.544944 | 108 | 0.671801 |
0dd70ab8fed3432e70e1c7b1b54e99c742bc9c9c | 5,714 | py | Python | DeepJanus-MNIST/model_create_ExperimentOld.py | SeanAchtatou/deepjanusexperiments | c14585b7aef4c89e03a30e69b5d8bbac896d6a6a | [
"MIT"
] | null | null | null | DeepJanus-MNIST/model_create_ExperimentOld.py | SeanAchtatou/deepjanusexperiments | c14585b7aef4c89e03a30e69b5d8bbac896d6a6a | [
"MIT"
] | null | null | null | DeepJanus-MNIST/model_create_ExperimentOld.py | SeanAchtatou/deepjanusexperiments | c14585b7aef4c89e03a30e69b5d8bbac896d6a6a | [
"MIT"
] | null | null | null | '''Trains a simple convnet on the MNIST dataset.
Gets to 99.25% test accuracy after 12 epochs
(there is still a lot of margin for parameter tuning).
16 seconds per epoch on a GRID K520 GPU.
'''
from __future__ import print_function
import tensorflow as tf
from tensorflow import keras
import numpy as np
import os
impor... | 39.958042 | 257 | 0.655758 |
9730d5ac9965fcdbd335be29332118040ede5af9 | 3,970 | py | Python | thop/count_hooks.py | rbodo/pytorch-OpCounter | 1857cbb5f9e53343fb349af84efdfde2554a2691 | [
"MIT"
] | 1 | 2020-02-28T04:42:39.000Z | 2020-02-28T04:42:39.000Z | thop/count_hooks.py | rbodo/pytorch-OpCounter | 1857cbb5f9e53343fb349af84efdfde2554a2691 | [
"MIT"
] | null | null | null | thop/count_hooks.py | rbodo/pytorch-OpCounter | 1857cbb5f9e53343fb349af84efdfde2554a2691 | [
"MIT"
] | null | null | null | import argparse
import logging
import torch
import torch.nn as nn
from torch.nn.modules.conv import _ConvNd
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
multiply_adds = 1
def zero_ops(m, x, y):
m.total_ops += torch.Tensor([int(0)])
def count_convNd(m: _ConvNd, x: (torch.Tensor,), y: tor... | 28.357143 | 96 | 0.616625 |
c533bc252b077dda1cfce4173978370d4ce3b7ec | 9,701 | py | Python | src/finn/transformation/lower_convs_to_matmul.py | HenniOVP/finn-base | ee0a7df4de00958cf4d71624a56e8a1acf4fd085 | [
"BSD-3-Clause"
] | null | null | null | src/finn/transformation/lower_convs_to_matmul.py | HenniOVP/finn-base | ee0a7df4de00958cf4d71624a56e8a1acf4fd085 | [
"BSD-3-Clause"
] | null | null | null | src/finn/transformation/lower_convs_to_matmul.py | HenniOVP/finn-base | ee0a7df4de00958cf4d71624a56e8a1acf4fd085 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Xilinx, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the f... | 46.639423 | 84 | 0.553139 |
5316c2290e7e915ef90d8d89ca3f374be6a134cf | 344 | py | Python | src/sgraph/converters/deps_to_xml.py | softagram/sgraph | ef16ad86ffb69a8f5210c69748f6e32c0f579141 | [
"MIT"
] | null | null | null | src/sgraph/converters/deps_to_xml.py | softagram/sgraph | ef16ad86ffb69a8f5210c69748f6e32c0f579141 | [
"MIT"
] | 6 | 2021-08-12T18:08:54.000Z | 2021-11-22T00:14:09.000Z | src/sgraph/converters/deps_to_xml.py | codeview-ai/sgraph | b98796d44d5ff5b96fdf8e5b7ec381e2cf38f217 | [
"MIT"
] | 2 | 2021-08-12T05:52:21.000Z | 2021-11-22T13:21:26.000Z | import sys
from sgraph import SGraph
inputfilepath = sys.argv[1]
outfilepath = None
if len(sys.argv) > 2:
outfilepath = sys.argv[2]
egm = SGraph.parse_deps(inputfilepath)
if outfilepath:
print('Node count: {}'.format(egm.rootNode.getNodeCount()))
else:
pass # Stdout will be filled with the model data
... | 19.111111 | 63 | 0.723837 |
45349e380d06b786d743f9d2bc0a93e92d963900 | 795 | py | Python | code/s_lightball.py | lod/pycon2017 | f62f7a84fc64849b22ddb2c1dfbc3fe1d8b84aed | [
"CC0-1.0"
] | 2 | 2017-08-04T04:33:22.000Z | 2021-07-08T00:36:03.000Z | code/s_lightball.py | lod/pycon2017 | f62f7a84fc64849b22ddb2c1dfbc3fe1d8b84aed | [
"CC0-1.0"
] | null | null | null | code/s_lightball.py | lod/pycon2017 | f62f7a84fc64849b22ddb2c1dfbc3fe1d8b84aed | [
"CC0-1.0"
] | null | null | null | class LightBall(object):
colours = {
"#FFFFFF" : "W",
...
}
def __init__(self, colour="#FFFFFF"):
self.colour = colour # #rgb string
self._send_button("ON")
self.set_colour(colour)
def __del__(self):
self._send_button("OFF")
def get_colour(self):
... | 26.5 | 79 | 0.576101 |
863a1d43520ed42e7a8e61c532d1f01e658111d3 | 6,286 | py | Python | tests/fixtures.py | 78bash/lightning | bda9919da7aaca66dae0996a18cb0917c09582eb | [
"MIT"
] | null | null | null | tests/fixtures.py | 78bash/lightning | bda9919da7aaca66dae0996a18cb0917c09582eb | [
"MIT"
] | null | null | null | tests/fixtures.py | 78bash/lightning | bda9919da7aaca66dae0996a18cb0917c09582eb | [
"MIT"
] | null | null | null | from concurrent import futures
from utils import NodeFactory, BitcoinD
import logging
import os
import pytest
import re
import shutil
import sys
import tempfile
with open('config.vars') as configfile:
config = dict([(line.rstrip().split('=', 1)) for line in configfile])
VALGRIND = os.getenv("VALGRIND", config['... | 28.572727 | 114 | 0.663061 |
47217d0e449b2153eb598da4d79485a8609d0652 | 158 | py | Python | care/care/doctype/invoice_item_amendment_summary/test_invoice_item_amendment_summary.py | mohsinalimat/care | 5b2f85839c5fa9882eb0d0097825e149402a6a8c | [
"MIT"
] | 1 | 2021-08-07T12:49:13.000Z | 2021-08-07T12:49:13.000Z | care/care/doctype/invoice_item_amendment_summary/test_invoice_item_amendment_summary.py | mohsinalimat/care | 5b2f85839c5fa9882eb0d0097825e149402a6a8c | [
"MIT"
] | null | null | null | care/care/doctype/invoice_item_amendment_summary/test_invoice_item_amendment_summary.py | mohsinalimat/care | 5b2f85839c5fa9882eb0d0097825e149402a6a8c | [
"MIT"
] | 1 | 2021-08-07T12:49:13.000Z | 2021-08-07T12:49:13.000Z | # Copyright (c) 2021, RF and Contributors
# See license.txt
# import frappe
import unittest
class TestInvoiceItemAmendmentSummary(unittest.TestCase):
pass
| 17.555556 | 57 | 0.797468 |
70fcc13033826ab4920aede1602b77cd40298269 | 694 | py | Python | utils/cp_labels.py | Dai-z/pytorch-superpoint | 90e71045238fdcce13f9f0d02bdd0e1126145a10 | [
"MIT"
] | 390 | 2019-12-16T07:36:02.000Z | 2022-03-29T07:27:32.000Z | utils/cp_labels.py | Dai-z/pytorch-superpoint | 90e71045238fdcce13f9f0d02bdd0e1126145a10 | [
"MIT"
] | 69 | 2019-12-14T20:38:44.000Z | 2022-03-25T12:53:21.000Z | utils/cp_labels.py | Dai-z/pytorch-superpoint | 90e71045238fdcce13f9f0d02bdd0e1126145a10 | [
"MIT"
] | 98 | 2020-01-07T04:29:17.000Z | 2022-03-30T16:09:31.000Z | """copy labels out of images (step 2)
"""
import subprocess
from glob import glob
import os
source_folder = 'magicpoint_synth20_homoAdapt100_kitti_h384'
target_folder = f"{source_folder}_labels"
base_path = '/data/kitti'
middle_path = 'predictions/'
final_folder = 'train'
folders = glob(f'{base_path}/{source_folder}/... | 27.76 | 78 | 0.706052 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.