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0d2fbfa96bb0ce534111ac7e21349a1c716d99fa | 637 | py | Python | PyOpenWorm/quantity.py | nheffelman/pyopdata | 5cc3042b004f167dbf18acc119474ea48b47810d | [
"MIT"
] | null | null | null | PyOpenWorm/quantity.py | nheffelman/pyopdata | 5cc3042b004f167dbf18acc119474ea48b47810d | [
"MIT"
] | null | null | null | PyOpenWorm/quantity.py | nheffelman/pyopdata | 5cc3042b004f167dbf18acc119474ea48b47810d | [
"MIT"
] | null | null | null | import pint as Q
class Quantity:
""" Enables the use of measurement units in our statements
"""
ur = Q.UnitRegistry()
@classmethod
def parse(self, s):
q = self.ur.Quantity(s)
my_q = Quantity(0,"mL")
my_q._quant = q
return my_q
def __init__(self, value, unit):
... | 21.233333 | 62 | 0.601256 | 618 | 0.970173 | 0 | 0 | 278 | 0.436421 | 0 | 0 | 91 | 0.142857 |
0d3113fefbcc2c8c41ba544c0d489f999a22dfe6 | 4,752 | py | Python | rhapsody_web/models.py | wbadart/rhapsody | 433a376b4a3881d4b12bebbbbdf08194c62fa8a2 | [
"MIT"
] | null | null | null | rhapsody_web/models.py | wbadart/rhapsody | 433a376b4a3881d4b12bebbbbdf08194c62fa8a2 | [
"MIT"
] | 12 | 2018-03-21T02:26:45.000Z | 2018-05-09T07:12:55.000Z | rhapsody_web/models.py | wbadart/rhapsody | 433a376b4a3881d4b12bebbbbdf08194c62fa8a2 | [
"MIT"
] | null | null | null | from itertools import chain
from django.db import models
from random import choices
class Node(object):
def neighbors(self):
raise NotImplementedError
def graph(self, depth=1):
if not depth:
return {self: set()}
elif depth == 1:
return {self: set(self.neighbors... | 31.058824 | 77 | 0.666877 | 4,632 | 0.974747 | 179 | 0.037668 | 0 | 0 | 0 | 0 | 736 | 0.154882 |
0d315a6eab2cc3aa2454ad8e379488130a26267e | 1,076 | py | Python | examples/kddcup2011/track1.py | zenogantner/MML-KDD | 4c66101439d83bdcd15a464bf95c7ae74f1abbed | [
"BSD-3-Clause"
] | 1 | 2021-03-07T15:29:48.000Z | 2021-03-07T15:29:48.000Z | examples/kddcup2011/track1.py | zenogantner/MML-KDD | 4c66101439d83bdcd15a464bf95c7ae74f1abbed | [
"BSD-3-Clause"
] | null | null | null | examples/kddcup2011/track1.py | zenogantner/MML-KDD | 4c66101439d83bdcd15a464bf95c7ae74f1abbed | [
"BSD-3-Clause"
] | 3 | 2015-03-17T20:22:48.000Z | 2019-11-20T06:25:55.000Z | #!/usr/bin/env ipy
import clr
clr.AddReference("MyMediaLite.dll")
clr.AddReference("MyMediaLiteExperimental.dll")
from MyMediaLite import *
train_file = "trainIdx1.firstLines.txt"
validation_file = "validationIdx1.firstLines.txt"
test_file = "testIdx1.firstLines.txt"
# load the data
training_data = IO.K... | 29.888889 | 118 | 0.77974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 382 | 0.355019 |
0d315c941d5c258d24b3ce3f264e4496447f3b10 | 754 | py | Python | resdk/resources/kb/mapping.py | tristanbrown/resolwe-bio-py | c911defde8a5e7e902ad1adf4f9e480f17002c18 | [
"Apache-2.0"
] | null | null | null | resdk/resources/kb/mapping.py | tristanbrown/resolwe-bio-py | c911defde8a5e7e902ad1adf4f9e480f17002c18 | [
"Apache-2.0"
] | null | null | null | resdk/resources/kb/mapping.py | tristanbrown/resolwe-bio-py | c911defde8a5e7e902ad1adf4f9e480f17002c18 | [
"Apache-2.0"
] | null | null | null | """KB mapping resource."""
from __future__ import absolute_import, division, print_function, unicode_literals
from ..base import BaseResource
class Mapping(BaseResource):
"""Knowledge base Mapping resource."""
endpoint = 'kb.mapping.admin'
query_endpoint = 'kb.mapping.search'
query_method = 'POST'
... | 32.782609 | 98 | 0.676393 | 608 | 0.806366 | 0 | 0 | 0 | 0 | 0 | 0 | 304 | 0.403183 |
0d330685451bd90d18d6890bfb83c6bc7d79a1c5 | 1,293 | py | Python | wavshape.py | IngoKl/wavlength | 700b1f14dabd552b2ccf63a1651c469def023468 | [
"MIT"
] | null | null | null | wavshape.py | IngoKl/wavlength | 700b1f14dabd552b2ccf63a1651c469def023468 | [
"MIT"
] | null | null | null | wavshape.py | IngoKl/wavlength | 700b1f14dabd552b2ccf63a1651c469def023468 | [
"MIT"
] | null | null | null | """Scans a given path (folder) for .wav files recursively and plots them all into files."""
from pathlib import Path, PurePath
import matplotlib.pyplot as plt
import numpy as np
from numpy import fft as fft
import click
import scipy.io.wavfile
from wavlength import get_files, plot_wav
def analyze_and_plot(wavfile, ou... | 34.026316 | 91 | 0.673627 | 0 | 0 | 0 | 0 | 535 | 0.413766 | 0 | 0 | 352 | 0.272235 |
0d3413bac5a6aea2f9f7fe0d6f905b5180d47e91 | 456 | py | Python | lib/ocr.py | jabbalaci/Bash-Utils | c6fb115834a221c4aaba8eaa37f650beea45ef29 | [
"MIT"
] | 73 | 2015-03-31T01:12:26.000Z | 2021-07-10T19:45:04.000Z | lib/ocr.py | doc22940/Bash-Utils | c6fb115834a221c4aaba8eaa37f650beea45ef29 | [
"MIT"
] | 2 | 2017-01-06T17:17:42.000Z | 2017-08-23T18:35:55.000Z | lib/ocr.py | doc22940/Bash-Utils | c6fb115834a221c4aaba8eaa37f650beea45ef29 | [
"MIT"
] | 27 | 2015-01-03T18:51:23.000Z | 2020-11-15T11:49:51.000Z | #!/usr/bin/env python3
"""
OCR with the Tesseract engine from Google
this is a wrapper around pytesser (http://code.google.com/p/pytesser/)
"""
import config as cfg
from lib.process import get_simple_cmd_output
def image_file_to_string(fname):
"""Convert an image file to text using OCR."""
cmd = "{tesseract... | 24 | 70 | 0.701754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 0.482456 |
0d34f19c13621e0ed06e9108be40f56911d2c61d | 4,848 | py | Python | geiger-counter/remote-logging.py | SaintGimp/BeagleBoneHardware | 04990a6fbcb7d95b1bbcd4d33e9145f5bfbdd3b2 | [
"MIT"
] | 2 | 2018-07-03T12:34:25.000Z | 2019-02-22T14:44:59.000Z | geiger-counter/remote-logging.py | SaintGimp/BeagleBoneHardware | 04990a6fbcb7d95b1bbcd4d33e9145f5bfbdd3b2 | [
"MIT"
] | null | null | null | geiger-counter/remote-logging.py | SaintGimp/BeagleBoneHardware | 04990a6fbcb7d95b1bbcd4d33e9145f5bfbdd3b2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import gimpbbio.gpio as gpio
import serial
import re
import http.client
import urllib
import threading
import queue
import sys
import datetime
import time
import socket
import logging
import logging.handlers
import argparse
import Adafruit_BMP.BMP085 as BMP085
class MyLogger(object):
def __ini... | 27.862069 | 184 | 0.72731 | 310 | 0.063944 | 0 | 0 | 0 | 0 | 0 | 0 | 1,122 | 0.231436 |
0d34f30b476694738f42f03846398937a9cf92fc | 852 | py | Python | migrations/versions/0e26a2d71475_.py | Toluwalemi/flask-audiofile-server | 548d90aa8f25a58cd3647f08975e9ac6a679087d | [
"Unlicense"
] | null | null | null | migrations/versions/0e26a2d71475_.py | Toluwalemi/flask-audiofile-server | 548d90aa8f25a58cd3647f08975e9ac6a679087d | [
"Unlicense"
] | null | null | null | migrations/versions/0e26a2d71475_.py | Toluwalemi/flask-audiofile-server | 548d90aa8f25a58cd3647f08975e9ac6a679087d | [
"Unlicense"
] | 1 | 2021-04-07T13:46:22.000Z | 2021-04-07T13:46:22.000Z | """empty message
Revision ID: 0e26a2d71475
Revises:
Create Date: 2021-03-19 00:13:23.019330
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '0e26a2d71475'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | 25.818182 | 65 | 0.687793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 424 | 0.497653 |
0d350e50046900dd997c091b0cd94feb9afe2441 | 9,510 | py | Python | 2_functions.py | codernayeem/python-cheat-sheet | ec6fe9f33e9175251df65899cef89f65219b9cb4 | [
"MIT"
] | null | null | null | 2_functions.py | codernayeem/python-cheat-sheet | ec6fe9f33e9175251df65899cef89f65219b9cb4 | [
"MIT"
] | null | null | null | 2_functions.py | codernayeem/python-cheat-sheet | ec6fe9f33e9175251df65899cef89f65219b9cb4 | [
"MIT"
] | null | null | null | # Functions
print("************* Function ***********")
# Simple function without any arguments/parameters
def say_welocme():
return print('Welocme')
# Simple function with arguments/parameters
def say_helo(name, age):
print('Helo', name, age)
# this function returns None
say_helo('Nayeem', 18) #... | 35.222222 | 161 | 0.674238 | 0 | 0 | 252 | 0.026498 | 162 | 0.017035 | 0 | 0 | 7,141 | 0.750894 |
0d35cf0c049dbda0c7224db51ed6f0b36f88de1d | 3,763 | py | Python | Learning Scripts/helper.py | n3urovirtual/EyeTracking_Experiment | 00a534540a524db8606d54e33ebc43de49a959ac | [
"MIT"
] | 2 | 2021-11-18T16:59:43.000Z | 2022-02-11T18:25:03.000Z | Learning Scripts/helper.py | n3urovirtual/EyeTracking_Experiment | 00a534540a524db8606d54e33ebc43de49a959ac | [
"MIT"
] | null | null | null | Learning Scripts/helper.py | n3urovirtual/EyeTracking_Experiment | 00a534540a524db8606d54e33ebc43de49a959ac | [
"MIT"
] | null | null | null | screen_resX=1920
screen_resY=1080
img_id=['1.JPG_HIGH_',
'2.JPG_HIGH_',
'7.JPG_HIGH_',
'12.JPG_HIGH_',
'13.JPG_HIGH_',
'15.JPG_HIGH_',
'19.JPG_HIGH_',
'25.JPG_HIGH_',
'27.JPG_HIGH_',
'29.JPG_HIGH_',
'41.JPG_HIGH_',
'42.JPG_HIGH_',... | 25.773973 | 83 | 0.545841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,338 | 0.621313 |
0d365cc37f818437b854ee723afc0abb9a2d8fa4 | 3,219 | py | Python | twython_auth/views.py | tsaylor/nepal | 452669dc8f301cbfab5cdf804292246ff91ed65f | [
"MIT"
] | null | null | null | twython_auth/views.py | tsaylor/nepal | 452669dc8f301cbfab5cdf804292246ff91ed65f | [
"MIT"
] | 2 | 2021-03-19T21:47:22.000Z | 2021-06-10T17:44:44.000Z | twython_auth/views.py | tsaylor/nepal | 452669dc8f301cbfab5cdf804292246ff91ed65f | [
"MIT"
] | null | null | null | from django.contrib.auth import authenticate, login, logout as django_logout
from django.contrib.auth import get_user_model
from django.http import HttpResponseRedirect
from django.conf import settings
from django.core.urlresolvers import reverse
from twython import Twython
from profiles.models import Profile
def log... | 38.321429 | 100 | 0.720721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,180 | 0.366573 |
0d37e90dca95e3985986b6fc950f40dc1aa89c2b | 140 | py | Python | hello.py | alee8542/cs3240-labdemo | f80a8f1dae79167cb13c3e176e14e3942852d04e | [
"MIT"
] | null | null | null | hello.py | alee8542/cs3240-labdemo | f80a8f1dae79167cb13c3e176e14e3942852d04e | [
"MIT"
] | null | null | null | hello.py | alee8542/cs3240-labdemo | f80a8f1dae79167cb13c3e176e14e3942852d04e | [
"MIT"
] | null | null | null | import helper
from helper import greeting
def main():
#print("called hello")
helper.greeting("hello")
if __name__ == '__main__':
main() | 15.555556 | 27 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.278571 |
0d38684afecb14d8b612ceb8af67630b80b4ff71 | 989 | py | Python | Multidimensional_Lists/05_square_with_maximum_sum.py | MihailMarkovski/Python-Advanced-2020 | 8edea78cbe5588a409ba9bc3767861250f58c1a6 | [
"MIT"
] | 4 | 2020-09-19T13:53:19.000Z | 2020-11-01T18:34:53.000Z | Multidimensional_Lists/05_square_with_maximum_sum.py | MNikov/Python-Advanced-September-2020 | 1d65039de7f094d908411afffa8aee9689ab4220 | [
"MIT"
] | null | null | null | Multidimensional_Lists/05_square_with_maximum_sum.py | MNikov/Python-Advanced-September-2020 | 1d65039de7f094d908411afffa8aee9689ab4220 | [
"MIT"
] | null | null | null | def create_matrix(rows_count):
matrix = []
for _ in range(rows_count):
matrix.append([int(x) for x in input().split(', ')])
return matrix
def get_square_sum(row, col, matrix):
square_sum = 0
for r in range(row, row + 2):
for c in range(col, col + 2):
square_sum += matri... | 26.026316 | 62 | 0.604651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.011122 |
0d394051cbe789e0a2cdb86b79de18a4fdfcc0a4 | 756 | py | Python | algorithms/Python/sorting/selection_sort.py | Tanmoy07tech/DSA | f88c9cbf58bedb006e4401502507982cf4f52260 | [
"MIT"
] | 247 | 2020-12-24T05:06:41.000Z | 2022-03-30T19:32:17.000Z | algorithms/Python/sorting/selection_sort.py | k2491p/DSA | ea01662f90a6913ca6b7faa88319afefb5f8d296 | [
"MIT"
] | 518 | 2020-12-23T14:19:19.000Z | 2022-03-31T17:45:08.000Z | algorithms/Python/sorting/selection_sort.py | k2491p/DSA | ea01662f90a6913ca6b7faa88319afefb5f8d296 | [
"MIT"
] | 356 | 2020-12-24T08:12:31.000Z | 2022-03-28T11:28:09.000Z | '''
Find the largest element and place that element at the bottom
of the list. Repeat for each sub-array.
O(n^2) time complexity.
'''
from string import ascii_letters
arrays = (
[12, 3, 7, 22, -12, 100, 1],
[10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
[4, 1, 3, 9, 7],
[0, -1.5, 1.5, 1.3, -1.3, -1.01, 1.01],
list(revers... | 20.432432 | 69 | 0.579365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 276 | 0.365079 |
0d3f74b53d1976c4b1197848cb8716e04cb65c67 | 2,535 | py | Python | djangocms_html_tags/cms_plugins.py | radity/djangocms-html-tags | d9d8d8b2609685d896e05af8fc9e2271c1dc0c26 | [
"MIT"
] | null | null | null | djangocms_html_tags/cms_plugins.py | radity/djangocms-html-tags | d9d8d8b2609685d896e05af8fc9e2271c1dc0c26 | [
"MIT"
] | 2 | 2019-02-17T22:15:40.000Z | 2019-02-20T22:40:21.000Z | djangocms_html_tags/cms_plugins.py | radity/djangocms-html-tags | d9d8d8b2609685d896e05af8fc9e2271c1dc0c26 | [
"MIT"
] | 2 | 2019-02-01T09:03:52.000Z | 2020-01-14T12:56:52.000Z | from cms.plugin_base import CMSPluginBase
from cms.plugin_pool import plugin_pool
from django.utils.translation import ugettext_lazy as _
from djangocms_html_tags.forms import HTMLTextInputForm, HTMLFormForm, HTMLTextareaForm
from djangocms_html_tags.models import HTMLTag, HTMLText
from djangocms_html_tags.utils impor... | 26.40625 | 89 | 0.740039 | 1,735 | 0.684418 | 0 | 0 | 0 | 0 | 0 | 0 | 279 | 0.110059 |
0d4067eb03baa5149bcc67a886187a2fa8a7e860 | 4,659 | py | Python | handlers/rights_users.py | itcosplay/cryptobot | 6890cfde64a631bf0e4db55f6873a2217212d801 | [
"MIT"
] | null | null | null | handlers/rights_users.py | itcosplay/cryptobot | 6890cfde64a631bf0e4db55f6873a2217212d801 | [
"MIT"
] | null | null | null | handlers/rights_users.py | itcosplay/cryptobot | 6890cfde64a631bf0e4db55f6873a2217212d801 | [
"MIT"
] | null | null | null | # команда меню "права пользователей"
from aiogram.types import Message, CallbackQuery, ReplyKeyboardRemove
from filters import IsAdmin
from loader import dp, db, bot
from keyboards.inline.callback_data import change_button_data
from keyboards.inline.callback_data import set_status_data
from keyboards.inline.callback_... | 37.272 | 166 | 0.691994 | 0 | 0 | 0 | 0 | 4,630 | 0.922311 | 4,291 | 0.854781 | 2,051 | 0.408566 |
0d40d5a5294c9c8290f11ed2656dfcbf8016ab4e | 12,878 | py | Python | qa327/frontend/sessions.py | rickyzhangca/CISC-327 | e419caafa6ae3fe77aa411228b6b58b237fe6a61 | [
"MIT"
] | null | null | null | qa327/frontend/sessions.py | rickyzhangca/CISC-327 | e419caafa6ae3fe77aa411228b6b58b237fe6a61 | [
"MIT"
] | 39 | 2020-10-11T02:31:14.000Z | 2020-12-15T20:18:56.000Z | qa327/frontend/sessions.py | rickyzhangca/CISC-327 | e419caafa6ae3fe77aa411228b6b58b237fe6a61 | [
"MIT"
] | 1 | 2020-10-17T02:44:43.000Z | 2020-10-17T02:44:43.000Z | import helpers
import exceptions
import datetime as dt
'''
This is the sessions module:
'''
'''
Base class with the basic structure of all frontend sessions.
'''
class Session:
# username is None when no one logged in.
def __init__(self, username = None):
self.username = username
# return with t... | 38.100592 | 218 | 0.650101 | 12,318 | 0.956515 | 0 | 0 | 0 | 0 | 0 | 0 | 2,857 | 0.221851 |
0d426d8765e77fea1c98581ceb39c83d5c0fb5f4 | 215 | py | Python | parts/edag_diodes.py | baryluk/edag | 675107e2078bcecb30768a5e96c7431104352024 | [
"BSL-1.0"
] | null | null | null | parts/edag_diodes.py | baryluk/edag | 675107e2078bcecb30768a5e96c7431104352024 | [
"BSL-1.0"
] | null | null | null | parts/edag_diodes.py | baryluk/edag | 675107e2078bcecb30768a5e96c7431104352024 | [
"BSL-1.0"
] | null | null | null | #!/usr/bin/env python3
# Diodes
"1N4148"
"1N5817G"
"BAT43" # Zener
"1N457"
# bc junction of many transistors can also be used as dioded, i.e. 2SC1815, 2SA9012, etc. with very small leakage current (~1pA at -4V).
| 21.5 | 136 | 0.702326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.948837 |
0d42aee94bc382588eed7920090962df76b33a83 | 1,574 | py | Python | PageObjectLibrary/loginpage_v2_using_composition.py | rama-bornfree/simple-pageobject | 6a66a256867f7b1604005818b12e7c9f8dc6c027 | [
"Apache-2.0"
] | null | null | null | PageObjectLibrary/loginpage_v2_using_composition.py | rama-bornfree/simple-pageobject | 6a66a256867f7b1604005818b12e7c9f8dc6c027 | [
"Apache-2.0"
] | null | null | null | PageObjectLibrary/loginpage_v2_using_composition.py | rama-bornfree/simple-pageobject | 6a66a256867f7b1604005818b12e7c9f8dc6c027 | [
"Apache-2.0"
] | null | null | null | from pageobject import PageObject
from homepage import HomePage
from locatormap import LocatorMap
from robot.api import logger
class LoginPage():
PAGE_TITLE = "Login - PageObjectLibrary Demo"
PAGE_URL = "/login.html"
# these are accessible via dot notaton with self.locator
# (eg: self.locator.usernam... | 32.122449 | 70 | 0.65629 | 1,446 | 0.918679 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.280813 |
0d442d2358091616d21b759e490009907755740d | 2,569 | py | Python | reefbot-controller/bin/ButtonMapper.py | MRSD2018/reefbot-1 | a595ca718d0cda277726894a3105815cef000475 | [
"MIT"
] | null | null | null | reefbot-controller/bin/ButtonMapper.py | MRSD2018/reefbot-1 | a595ca718d0cda277726894a3105815cef000475 | [
"MIT"
] | null | null | null | reefbot-controller/bin/ButtonMapper.py | MRSD2018/reefbot-1 | a595ca718d0cda277726894a3105815cef000475 | [
"MIT"
] | null | null | null | '''Maps buttons for the Reefbot control.'''
import roslib; roslib.load_manifest('reefbot-controller')
import rospy
class JoystickButtons:
DPAD_LR = 4
DPAD_UD = 5
ALOG_LEFT_UD = 1
ALOG_LEFT_LR = 0
ALOG_RIGHT_UD = 3
ALOG_RIGHT_LR = 2
BUTTON_1 = 0
BUTTON_2 = 1
BUTTON_3 = 2
BUTTON_4 = 3
BUTTON_... | 32.935897 | 78 | 0.651615 | 2,449 | 0.953289 | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 0.179058 |
0d44e5e6d9f36901e93c880a5e517173d618c59a | 159 | py | Python | env.py | Code-Institute-Submissions/Lordph8-Project3 | fdefe7ffb7c53e8cb2d70b8c760e4efd27bb4517 | [
"MIT"
] | null | null | null | env.py | Code-Institute-Submissions/Lordph8-Project3 | fdefe7ffb7c53e8cb2d70b8c760e4efd27bb4517 | [
"MIT"
] | null | null | null | env.py | Code-Institute-Submissions/Lordph8-Project3 | fdefe7ffb7c53e8cb2d70b8c760e4efd27bb4517 | [
"MIT"
] | null | null | null | import os
os.environ.setdefault("MONGO_URI", "mongodb+srv://root:Thisisarandompassword@myfirstcluster-qpzww.mongodb.net/theRecipe?retryWrites=true&w=majority") | 79.5 | 149 | 0.836478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.779874 |
0d451f62800e63abede99f96599f3535638b9e60 | 1,482 | py | Python | tests/v1/test_synthetics_test_config.py | MichaelTROEHLER/datadog-api-client-python | 12c46626622fb1277bb1e172753b342c671348bd | [
"Apache-2.0"
] | null | null | null | tests/v1/test_synthetics_test_config.py | MichaelTROEHLER/datadog-api-client-python | 12c46626622fb1277bb1e172753b342c671348bd | [
"Apache-2.0"
] | null | null | null | tests/v1/test_synthetics_test_config.py | MichaelTROEHLER/datadog-api-client-python | 12c46626622fb1277bb1e172753b342c671348bd | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from __future__ import absolute_import
import sys
import unittest
im... | 30.244898 | 108 | 0.762483 | 399 | 0.269231 | 0 | 0 | 0 | 0 | 0 | 0 | 604 | 0.407557 |
0d45995076dc8988bcc58b7a91a3417a1a1f526d | 1,803 | py | Python | parlai/tasks/saferdialogues/agents.py | twstewart42/ParlAI | db8dc7b684a089427ab5338a67fe50220d2fa622 | [
"MIT"
] | 1 | 2022-03-13T21:02:22.000Z | 2022-03-13T21:02:22.000Z | parlai/tasks/saferdialogues/agents.py | twstewart42/ParlAI | db8dc7b684a089427ab5338a67fe50220d2fa622 | [
"MIT"
] | 1 | 2022-01-18T09:14:27.000Z | 2022-01-18T09:14:27.000Z | parlai/tasks/saferdialogues/agents.py | twstewart42/ParlAI | db8dc7b684a089427ab5338a67fe50220d2fa622 | [
"MIT"
] | 1 | 2022-03-30T14:05:29.000Z | 2022-03-30T14:05:29.000Z | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
from parlai.core.params import ParlaiParser
from parlai.core.opt import Opt
import os
impo... | 31.631579 | 80 | 0.645591 | 1,165 | 0.646145 | 0 | 0 | 456 | 0.252912 | 0 | 0 | 518 | 0.287299 |
0d475beab3b1cd6b2f3e149dfdb979b4179e340d | 614 | py | Python | FatherSon/HelloWorld2_source_code/listing_7-1.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | 1 | 2019-01-04T05:47:50.000Z | 2019-01-04T05:47:50.000Z | FatherSon/HelloWorld2_source_code/listing_7-1.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | null | null | null | FatherSon/HelloWorld2_source_code/listing_7-1.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | null | null | null | # Listing_7-1.py
# Copyright Warren & Carter Sande, 2013
# Released under MIT license http://www.opensource.org/licenses/mit-license.php
# Version $version ----------------------------
# Using comparison operators
num1 = float(raw_input("Enter the first number: "))
num2 = float(raw_input("Enter the second ... | 34.111111 | 82 | 0.63355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 374 | 0.609121 |
0d48928ed6b737fd788b3269ad8bbc5084f62d61 | 6,658 | py | Python | landmark.py | Ank221199/cnn-facial-landmark | 5b6db58c59e36a4851917c86a5d252230d228b2c | [
"MIT"
] | null | null | null | landmark.py | Ank221199/cnn-facial-landmark | 5b6db58c59e36a4851917c86a5d252230d228b2c | [
"MIT"
] | null | null | null | landmark.py | Ank221199/cnn-facial-landmark | 5b6db58c59e36a4851917c86a5d252230d228b2c | [
"MIT"
] | 1 | 2019-07-20T01:37:29.000Z | 2019-07-20T01:37:29.000Z | """
Convolutional Neural Network for facial landmarks detection.
"""
import argparse
import cv2
import numpy as np
import tensorflow as tf
from model import LandmarkModel
# Add arguments parser to accept user specified arguments.
parser = argparse.ArgumentParser()
parser.add_argument('--train_record', default='train... | 34.14359 | 79 | 0.658306 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,876 | 0.281766 |
0d492d307402409cd402271070306ff0cee7ae12 | 2,593 | py | Python | read_testdata.py | veralily/MLKD-mission3-resentForIC | f652f80ad848fca321f912e9c1594517f1942e42 | [
"MIT"
] | null | null | null | read_testdata.py | veralily/MLKD-mission3-resentForIC | f652f80ad848fca321f912e9c1594517f1942e42 | [
"MIT"
] | null | null | null | read_testdata.py | veralily/MLKD-mission3-resentForIC | f652f80ad848fca321f912e9c1594517f1942e42 | [
"MIT"
] | null | null | null | import skimage.io # bug. need to import this before tensorflow
import skimage.transform # bug. need to import this before tensorflow
from resnet_train import train
from resnet import inference
import tensorflow as tf
import time
import os
import sys
import re
import numpy as np
from image_processing import image_pre... | 22.745614 | 74 | 0.600463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 617 | 0.237948 |
0d4e4c53bfb40749ea8ec2131b648151af59d377 | 2,305 | py | Python | userbot/plugins/thordp.py | indianSammy07/Wolf | aba9ecce1860f86f81a52722062531590521ad7f | [
"MIT"
] | null | null | null | userbot/plugins/thordp.py | indianSammy07/Wolf | aba9ecce1860f86f81a52722062531590521ad7f | [
"MIT"
] | null | null | null | userbot/plugins/thordp.py | indianSammy07/Wolf | aba9ecce1860f86f81a52722062531590521ad7f | [
"MIT"
] | null | null | null |
import os
from datetime import datetime
from PIL import Image, ImageDraw, ImageFont
from pySmartDL import SmartDL
from telethon.tl import functions
from uniborg.util import admin_cmd
import asyncio
import shutil
import random, re
FONT_FILE_TO_USE = "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf"
#Add telegraph ... | 40.438596 | 122 | 0.633839 | 0 | 0 | 0 | 0 | 1,365 | 0.592191 | 1,321 | 0.573102 | 619 | 0.268547 |
0d4e981d336496f51c5ebd89178a51218846e23a | 514 | py | Python | visualize/preprocess.py | peitaosu/SpectralClustering | 5c679ce0f9f2974fa7be2abe9caa1265dbbd4a2c | [
"MIT"
] | null | null | null | visualize/preprocess.py | peitaosu/SpectralClustering | 5c679ce0f9f2974fa7be2abe9caa1265dbbd4a2c | [
"MIT"
] | null | null | null | visualize/preprocess.py | peitaosu/SpectralClustering | 5c679ce0f9f2974fa7be2abe9caa1265dbbd4a2c | [
"MIT"
] | null | null | null | import os, sys
class Preprocesser():
def __init__(self):
self.data = {
"X": [],
"Y": []
}
def process(self, input):
if not os.path.isfile(input):
print(input + " is not exists.")
sys.exit(-1)
with open(input) as in_file:
... | 25.7 | 65 | 0.478599 | 496 | 0.964981 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.071984 |
0d51a39dc3763222336d58785130ec15857fbfe1 | 34,938 | py | Python | cogs/information.py | BioKZM/Colonist | ab3872c01b1bdc235e80065530fbed9953952919 | [
"MIT"
] | 5 | 2021-11-20T12:30:55.000Z | 2022-02-02T15:34:23.000Z | cogs/information.py | BioKZM/Colonist | ab3872c01b1bdc235e80065530fbed9953952919 | [
"MIT"
] | null | null | null | cogs/information.py | BioKZM/Colonist | ab3872c01b1bdc235e80065530fbed9953952919 | [
"MIT"
] | null | null | null | # import discord
# import asyncio
# import json
# from discord.ext import commands
# from discord.utils import get
# # from cogs.personalPoint import PersonalPoint
# from main import client
# from discord_ui import UI,Button
# from functions.userClass import User,experiences,levelNames
# from cogs.rank import getSorted... | 41.642431 | 373 | 0.382563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34,170 | 0.967112 |
0d51ae17ec18a17c3026a04979a7cfd4797e2e95 | 1,680 | py | Python | infoblox_netmri/api/remote/models/wireless_hot_standby_grid_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/remote/models/wireless_hot_standby_grid_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/remote/models/wireless_hot_standby_grid_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | from ..remote import RemoteModel
from infoblox_netmri.utils.utils import check_api_availability
class WirelessHotStandbyGridRemote(RemoteModel):
"""
| ``id:`` none
| ``attribute type:`` string
| ``WlsHotSbTimestamp:`` none
| ``attribute type:`` string
| ``MonitoredIPD... | 21.265823 | 62 | 0.491071 | 1,511 | 0.899405 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.700595 |
0d52e3e144e777e66888716d6fd11de6d57fc9e0 | 11,717 | py | Python | tests/test_geometric_tests.py | mxrie-eve/Pyrr | 34802ba0393a6e7752cf55fadecd0d7824042dc0 | [
"Unlicense"
] | null | null | null | tests/test_geometric_tests.py | mxrie-eve/Pyrr | 34802ba0393a6e7752cf55fadecd0d7824042dc0 | [
"Unlicense"
] | null | null | null | tests/test_geometric_tests.py | mxrie-eve/Pyrr | 34802ba0393a6e7752cf55fadecd0d7824042dc0 | [
"Unlicense"
] | null | null | null | from pyrr.geometric_tests import ray_intersect_sphere
try:
import unittest2 as unittest
except:
import unittest
import numpy as np
from pyrr import geometric_tests as gt
from pyrr import line, plane, ray, sphere
class test_geometric_tests(unittest.TestCase):
def test_import(self):
import pyrr
... | 36.962145 | 104 | 0.581804 | 11,443 | 0.976615 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.000853 |
0d530a1783161928697682724069d35b73f59b12 | 6,462 | py | Python | python/tvm/micro/base.py | uwsampl/tvm | 29a85eb8f75dbd3a338db0b28c2121ca997eb2a4 | [
"Apache-2.0"
] | 2 | 2019-12-27T04:50:01.000Z | 2021-02-04T09:54:21.000Z | python/tvm/micro/base.py | uwsampl/tvm | 29a85eb8f75dbd3a338db0b28c2121ca997eb2a4 | [
"Apache-2.0"
] | null | null | null | python/tvm/micro/base.py | uwsampl/tvm | 29a85eb8f75dbd3a338db0b28c2121ca997eb2a4 | [
"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 u... | 36.100559 | 93 | 0.630919 | 5,278 | 0.816775 | 0 | 0 | 0 | 0 | 0 | 0 | 3,437 | 0.531879 |
0d5399e828d26c68b909576d4808a3578d5cec48 | 1,807 | py | Python | tests/test_connect_nets.py | enics-labs/salamandra | e3f334d0ead5296b02c471b56cb90b1516e12769 | [
"Apache-2.0"
] | 1 | 2021-11-18T10:45:26.000Z | 2021-11-18T10:45:26.000Z | tests/test_connect_nets.py | enics-labs/salamandra | e3f334d0ead5296b02c471b56cb90b1516e12769 | [
"Apache-2.0"
] | null | null | null | tests/test_connect_nets.py | enics-labs/salamandra | e3f334d0ead5296b02c471b56cb90b1516e12769 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 EnICS Labs, Bar-Ilan University.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
import sys, os
sys.path.append(os.path.abspath('..'))
from salamandra import *
def main():
test(is_metatest=False)
def test(is_metatest):
inv = ... | 26.970149 | 74 | 0.624792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 486 | 0.268954 |
0d539b5ac601361cf9fe4062ce887af4d40cacd7 | 4,109 | py | Python | rl_dobot/algos/learn.py | sandipan1/rl_dobot | 2317c171f73ae6714c13a6e85cff3d894b242687 | [
"MIT"
] | 2 | 2018-11-09T19:31:46.000Z | 2020-01-28T11:20:08.000Z | rl_dobot/algos/learn.py | sandipan1/rl_dobot | 2317c171f73ae6714c13a6e85cff3d894b242687 | [
"MIT"
] | null | null | null | rl_dobot/algos/learn.py | sandipan1/rl_dobot | 2317c171f73ae6714c13a6e85cff3d894b242687 | [
"MIT"
] | null | null | null | '''
update rule for the DQN model is defined
'''
'''
Preprocessing : give only hsv value or masked end efforctor image
Downsample pixel and convert RGB to grayscale
Use nn.functional where there is no trainable parameter like relu or maxpool
Try pooling vs not pooling
In Atari they consider multiple frames to find dir... | 36.6875 | 120 | 0.696276 | 2,872 | 0.698954 | 0 | 0 | 0 | 0 | 0 | 0 | 1,408 | 0.342662 |
0d53c344e253ec5b2dbe3d8a0ac3fa6d4a976325 | 923 | py | Python | backend/app/utils.py | williamsyb/StockTick | 1dd10101d44fa3a0584f849b022fc8254c2e66c7 | [
"MIT"
] | 2 | 2020-11-23T13:38:49.000Z | 2021-08-17T15:37:04.000Z | backend/app/utils.py | williamsyb/StockTick | 1dd10101d44fa3a0584f849b022fc8254c2e66c7 | [
"MIT"
] | null | null | null | backend/app/utils.py | williamsyb/StockTick | 1dd10101d44fa3a0584f849b022fc8254c2e66c7 | [
"MIT"
] | null | null | null | from .protocol import Resp
from flask import make_response
import pandas as pd
class Utils:
@staticmethod
def build_resp(error_no: int, msg: str, data: dict):
return make_response(Resp(error_no, msg, data).to_json())
@staticmethod
def treat_bar(data: pd.DataFrame) -> dict:
# data = da... | 31.827586 | 79 | 0.619718 | 841 | 0.911159 | 0 | 0 | 818 | 0.886241 | 0 | 0 | 121 | 0.131094 |
0d55391048b46c947199f64898343316208f90a7 | 2,626 | py | Python | app/recipe/views.py | juancarestre/recipe-app-api2 | 7f93a2a01ebe811cba84526f0c1202dca7800b7a | [
"MIT"
] | null | null | null | app/recipe/views.py | juancarestre/recipe-app-api2 | 7f93a2a01ebe811cba84526f0c1202dca7800b7a | [
"MIT"
] | null | null | null | app/recipe/views.py | juancarestre/recipe-app-api2 | 7f93a2a01ebe811cba84526f0c1202dca7800b7a | [
"MIT"
] | null | null | null | from rest_framework import viewsets, mixins
from rest_framework.authentication import TokenAuthentication
from rest_framework.permissions import IsAuthenticated
import redis
import os
import json
from core.models import Tag, Ingredient
from recipe import serializers
# Connect to our Redis instance
redis_instance = r... | 35.972603 | 79 | 0.653085 | 2,172 | 0.827113 | 0 | 0 | 0 | 0 | 0 | 0 | 556 | 0.211729 |
0d55d639ae3cbd3fbf923acfe2653d7ccc5a7c72 | 2,468 | py | Python | torchbenchmark/models/mlp_larger/__init__.py | VectorInstitute/benchmark | 1cd8ff536aeddf3ebcafd4837d91684a1d9e58d2 | [
"BSD-3-Clause"
] | 1 | 2022-01-19T15:46:20.000Z | 2022-01-19T15:46:20.000Z | torchbenchmark/models/mlp_larger/__init__.py | VectorInstitute/benchmark | 1cd8ff536aeddf3ebcafd4837d91684a1d9e58d2 | [
"BSD-3-Clause"
] | null | null | null | torchbenchmark/models/mlp_larger/__init__.py | VectorInstitute/benchmark | 1cd8ff536aeddf3ebcafd4837d91684a1d9e58d2 | [
"BSD-3-Clause"
] | null | null | null | import random
import numpy as np
import torch
from torch import nn
from torchbenchmark.tasks import OTHER
from ...util.model import BenchmarkModel
torch.manual_seed(1337)
random.seed(1337)
np.random.seed(1337)
# pretend we are using MLP to predict CIFAR images
class MLP(nn.Module):
def __init__(self):
... | 26.826087 | 77 | 0.547407 | 1,990 | 0.806321 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.052269 |
b48fbff20842d5dc1be80ae2543317f479252cd3 | 99 | py | Python | args.py | NiranjanVRam/spotify-downloader | f20580dbb6fa6ebc00e7935f233f5a87e9762d18 | [
"MIT"
] | 7 | 2020-12-27T13:38:38.000Z | 2022-03-06T16:34:18.000Z | args.py | NiranjanVRam/spotify-downloader | f20580dbb6fa6ebc00e7935f233f5a87e9762d18 | [
"MIT"
] | 2 | 2021-10-03T10:56:12.000Z | 2021-10-10T23:43:14.000Z | args.py | NiranjanVRam/spotify-downloader | f20580dbb6fa6ebc00e7935f233f5a87e9762d18 | [
"MIT"
] | 5 | 2021-03-31T11:38:59.000Z | 2021-12-30T02:36:40.000Z | clientId = 'CLIENT_ID'
clientSecret = 'CLIENT_SECRET'
geniusToken = 'GENIUS_TOKEN'
bitrate = '320' | 19.8 | 30 | 0.757576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.454545 |
b4903e0e49fe00b8a065406698071247bb86a02d | 654 | py | Python | experiments/experiments_2/bs3_exp11_2_runner.py | petrroll/msc-neuro | cdfb5f0ad1a6974fdde6ac9760364d5545d70690 | [
"MIT"
] | 1 | 2019-10-26T19:38:42.000Z | 2019-10-26T19:38:42.000Z | experiments/experiments_2/bs3_exp11_2_runner.py | petrroll/msc-neuro | cdfb5f0ad1a6974fdde6ac9760364d5545d70690 | [
"MIT"
] | null | null | null | experiments/experiments_2/bs3_exp11_2_runner.py | petrroll/msc-neuro | cdfb5f0ad1a6974fdde6ac9760364d5545d70690 | [
"MIT"
] | 1 | 2021-03-23T14:54:04.000Z | 2021-03-23T14:54:04.000Z | import os
import sys
sys.path.append(os.getcwd())
import utils.runners as urun
#
# Dropout is `keep_prob` probability not `dropout rate` (as in TF2.x)
#
if __name__ == "__main__":
exp_folder = "experiments_2"
exp = "bs3_exp11"
exp_rev = "2"
runner = urun.get_runner(sys.argv[1])
run = 0
for h... | 25.153846 | 124 | 0.544343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.357798 |
b495cef87e530613f2c8277610c653f49cd1a833 | 2,003 | py | Python | library/aq6315.py | mjasperse/telepythic | fbf24a885cb195dc5cecf78e112b8ff4b993043d | [
"BSD-3-Clause"
] | 2 | 2020-10-06T15:55:26.000Z | 2021-04-01T04:09:01.000Z | library/aq6315.py | mjasperse/telepythic | fbf24a885cb195dc5cecf78e112b8ff4b993043d | [
"BSD-3-Clause"
] | null | null | null | library/aq6315.py | mjasperse/telepythic | fbf24a885cb195dc5cecf78e112b8ff4b993043d | [
"BSD-3-Clause"
] | null | null | null | """
AQ6315E DATA EXTRACTOR
Extracts all visible traces from Ando AQ-6315E Optical Spectrum Analyser
Usage: ./aq6315.py [filename]
If specified, extracted data is saved to CSV called "filename"
Relevant list of commands available at
http://support.us.yokogawa.com/downloads/TMI/COMM/AQ6317B/AQ6317B%20R0101.pdf
... | 32.306452 | 81 | 0.6665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,149 | 0.57364 |
b49746c535ff505d70174da7005a75abdaab6aa0 | 1,707 | py | Python | src/test_uint8.py | disconnect3d/PicoBlade-asm | f4c1c5966f71ac9b11118dc0df1a6dd93699b4a2 | [
"MIT"
] | 4 | 2018-07-26T21:16:06.000Z | 2021-07-02T17:07:01.000Z | src/test_uint8.py | disconnect3d/PicoBlade-asm | f4c1c5966f71ac9b11118dc0df1a6dd93699b4a2 | [
"MIT"
] | 1 | 2016-11-09T22:47:05.000Z | 2017-01-19T23:34:50.000Z | src/test_uint8.py | disconnect3d/PicoBlade-asm | f4c1c5966f71ac9b11118dc0df1a6dd93699b4a2 | [
"MIT"
] | null | null | null | from src.uint8 import uint8
def test_constructor1():
assert int(uint8(20)) == 20
def test_constructor2():
assert uint8(256) == uint8(0)
assert uint8(260) == uint8(4)
assert uint8(-1) == uint8(255)
assert uint8(-5) == uint8(251)
assert uint8(-5) != uint8(252)
def test_add_other():
asser... | 22.168831 | 52 | 0.565319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b497aee10348953dd46616dc98824f2c3d70953e | 1,042 | py | Python | tests/lid_driven_cavity/test.py | nazmas/SNaC | e928adc142df5bbe1a7941907c35add6ea6f1ff0 | [
"MIT"
] | null | null | null | tests/lid_driven_cavity/test.py | nazmas/SNaC | e928adc142df5bbe1a7941907c35add6ea6f1ff0 | [
"MIT"
] | null | null | null | tests/lid_driven_cavity/test.py | nazmas/SNaC | e928adc142df5bbe1a7941907c35add6ea6f1ff0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
def test_ldc():
import numpy as np
import os
from read_single_field_binary import read_single_field_binary
data_ref = np.loadtxt("data_ldc_re1000.txt")
if "data_x" in os.getcwd():
data,xp,yp,zp,xu,yv,zw = read_single_field_binary("vey_fld_0001500.bin",np.array([1,1,1]))... | 47.363636 | 98 | 0.643954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 0.142035 |
b4987682eaca1ee3d36ee754283c8f4e42d74219 | 638 | py | Python | zoom/_assets/standard_apps/icons/index.py | zodman/ZoomFoundry | 87a69f519a2ab6b63aeec0a564ce41259e64f88d | [
"MIT"
] | 8 | 2017-04-10T09:53:15.000Z | 2020-08-16T09:53:14.000Z | zoom/_assets/standard_apps/icons/index.py | zodman/ZoomFoundry | 87a69f519a2ab6b63aeec0a564ce41259e64f88d | [
"MIT"
] | 49 | 2017-04-13T22:51:48.000Z | 2019-08-15T22:53:25.000Z | zoom/_assets/standard_apps/icons/index.py | zodman/ZoomFoundry | 87a69f519a2ab6b63aeec0a564ce41259e64f88d | [
"MIT"
] | 12 | 2017-04-11T04:16:47.000Z | 2019-08-10T21:41:54.000Z | """
icons index
"""
import zoom
class MyView(zoom.View):
"""Index View"""
def index(self):
"""Index page"""
zoom.requires('fontawesome4')
content = zoom.tools.load('icons.html')
subtitle = 'Icons available as part of FontAwesome 4<br><br>'
return zoom.page(content,... | 23.62963 | 73 | 0.589342 | 568 | 0.890282 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.30094 |
b4992dbe930e0e9eeb52ad731345b2e5829711bc | 1,096 | py | Python | python/AI/data/zero_mean.py | Vahegian/GiantTrader | 67a1acd8c52e2277ae8919834563775e59b6e6ce | [
"MIT"
] | 10 | 2020-05-12T13:41:42.000Z | 2022-03-24T17:32:09.000Z | python/AI/data/zero_mean.py | Vahegian/GiantTrader | 67a1acd8c52e2277ae8919834563775e59b6e6ce | [
"MIT"
] | 18 | 2020-09-26T00:57:28.000Z | 2021-06-02T01:31:35.000Z | python/AI/data/zero_mean.py | Vahegian/GiantTrader | 67a1acd8c52e2277ae8919834563775e59b6e6ce | [
"MIT"
] | 3 | 2021-01-03T07:44:09.000Z | 2021-11-20T18:44:24.000Z | '''
This script takes one 'npy' file that contains market data
of multiple markets and produces 3 files "train.npy", "test.npy", "val.npy".
The script calculates the mean image of the dataset and substracts it from
each image.
'''
import numpy as np
def save_file(dir, data):
np.save(dir, data)
print(f"save... | 28.102564 | 107 | 0.696168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 0.552007 |
b49a302baad4a4b82d1403cf60a8484fa3cbece9 | 8,352 | py | Python | src/JobManager/Tasks.py | ROOSTER-fleet-management/rooster_fleet_manager | 93a41ea1ec0af2eda57957dde7d996929bfc057a | [
"Apache-2.0"
] | 6 | 2020-10-30T11:24:34.000Z | 2022-01-11T18:52:06.000Z | src/JobManager/Tasks.py | ROOSTER-fleet-management/rooster_fleet_manager | 93a41ea1ec0af2eda57957dde7d996929bfc057a | [
"Apache-2.0"
] | null | null | null | src/JobManager/Tasks.py | ROOSTER-fleet-management/rooster_fleet_manager | 93a41ea1ec0af2eda57957dde7d996929bfc057a | [
"Apache-2.0"
] | 8 | 2020-10-30T11:25:03.000Z | 2021-09-07T12:54:27.000Z | #! /usr/bin/env python
import rospy
import actionlib
from move_base_msgs.msg import MoveBaseAction, MoveBaseGoal
from tf.transformations import quaternion_from_euler
from std_msgs.msg import UInt8
from enum import Enum
#region ################## TODOLIST ########################
# DONE 1. Add Task class and make othe... | 43.274611 | 181 | 0.637452 | 7,927 | 0.949114 | 0 | 0 | 0 | 0 | 0 | 0 | 3,708 | 0.443966 |
b49a5576e004df9c62a3ab2a288cc819b3c00b9c | 1,426 | py | Python | user.py | sdress/dojo-users | 13f10f0efcd0e9e5ad7ed8c20d991524636cf37f | [
"MIT"
] | null | null | null | user.py | sdress/dojo-users | 13f10f0efcd0e9e5ad7ed8c20d991524636cf37f | [
"MIT"
] | null | null | null | user.py | sdress/dojo-users | 13f10f0efcd0e9e5ad7ed8c20d991524636cf37f | [
"MIT"
] | null | null | null | # import the function that will return an instance of a connection
from mysqlconnection import connectToMySQL
# model the class after the friend table from our database
class User:
def __init__( self , data ):
self.id = data['id']
self.first_name = data['first_name']
self.last_name = data['l... | 44.5625 | 157 | 0.648668 | 1,256 | 0.880785 | 0 | 0 | 835 | 0.585554 | 0 | 0 | 758 | 0.531557 |
b49af5e43de48fcf3cf24608acee75fdd5d449fb | 21,488 | py | Python | tiktokpy/client/user.py | returnWOW/tiktokpy | 14e1fb2ef0c4f2f0abe2bdfa7c156a33f6cd92d2 | [
"MIT"
] | 1 | 2021-11-15T15:35:14.000Z | 2021-11-15T15:35:14.000Z | tiktokpy/client/user.py | returnWOW/tiktokpy | 14e1fb2ef0c4f2f0abe2bdfa7c156a33f6cd92d2 | [
"MIT"
] | 1 | 2022-03-12T13:12:37.000Z | 2022-03-12T13:12:37.000Z | tiktokpy/client/user.py | returnWOW/tiktokpy | 14e1fb2ef0c4f2f0abe2bdfa7c156a33f6cd92d2 | [
"MIT"
] | null | null | null | import os
import asyncio
from typing import List
import traceback
import pyppeteer
from pyppeteer.page import Page
from tqdm import tqdm
import pdb
import time
from tiktokpy.client import Client
from tiktokpy.utils.client import catch_response_and_store, catch_response_info, get_dt_str, trans_char
from t... | 36.114286 | 180 | 0.526526 | 20,557 | 0.949252 | 0 | 0 | 0 | 0 | 20,396 | 0.941818 | 7,449 | 0.343969 |
b49b84a57a5a0d4b3d8673371b1ea49d228a6368 | 2,927 | py | Python | amazon-top-results.py | dlameter/amazon-top-results | f4437512f872a4f8c427042770a76cd51eba2f5c | [
"MIT"
] | null | null | null | amazon-top-results.py | dlameter/amazon-top-results | f4437512f872a4f8c427042770a76cd51eba2f5c | [
"MIT"
] | null | null | null | amazon-top-results.py | dlameter/amazon-top-results | f4437512f872a4f8c427042770a76cd51eba2f5c | [
"MIT"
] | null | null | null | import json
import time
import sys
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_con... | 28.980198 | 98 | 0.688077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 762 | 0.260335 |
b49ba128005050a703dec74a0221d62f301b5b8c | 1,656 | py | Python | plugins/vpn.py | alobbs/autome | faf4c836ccb896d03020aa0dbb2c1332ffc791a2 | [
"MIT"
] | null | null | null | plugins/vpn.py | alobbs/autome | faf4c836ccb896d03020aa0dbb2c1332ffc791a2 | [
"MIT"
] | null | null | null | plugins/vpn.py | alobbs/autome | faf4c836ccb896d03020aa0dbb2c1332ffc791a2 | [
"MIT"
] | null | null | null | import os
import plugin
import pluginconf
util = plugin.get("util")
FILE_COUNTER = "~/.vpn_counter"
FILE_VPN_SH = "~/.vpn_sh"
EXPECT_SCRIPT = """#!/usr/bin/expect
spawn {cmd}
expect -exact "Enter Auth Username:"
send -- "{user}\\n"
expect -exact "Enter Auth Password:"
send -- "{password}\\n"
interact
"""
class V... | 24.352941 | 84 | 0.577899 | 1,342 | 0.810386 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.274758 |
b49bc707c55e530402f7bf7501d6b84e68f26a0e | 7,321 | py | Python | jasypt4py/generator.py | fareliner/jasypt4py | 6ea7cdbb4ee1e3249cc9dcadfa3c54e603614458 | [
"Apache-2.0"
] | 7 | 2018-04-04T02:56:48.000Z | 2021-09-23T01:34:57.000Z | jasypt4py/generator.py | fareliner/jasypt4py | 6ea7cdbb4ee1e3249cc9dcadfa3c54e603614458 | [
"Apache-2.0"
] | 3 | 2018-07-31T08:56:56.000Z | 2022-03-04T01:03:03.000Z | jasypt4py/generator.py | fareliner/jasypt4py | 6ea7cdbb4ee1e3249cc9dcadfa3c54e603614458 | [
"Apache-2.0"
] | 4 | 2018-07-31T08:04:01.000Z | 2021-07-07T01:55:34.000Z | # Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
from abc import ABCMeta, abstractmethod
from Crypto import Random
from jasypt4py.exceptions import ArgumentError
class PBEParameterGenerator(object):
__metaclass__ = ABCMeta
@staticmethod
def adjust(a, a_o... | 30.377593 | 106 | 0.584483 | 7,093 | 0.968857 | 0 | 0 | 1,218 | 0.166371 | 0 | 0 | 2,298 | 0.313892 |
b49c1ea0938a5f26e07c3b56e99b431ee0d681c5 | 2,862 | py | Python | __init__.py | zznop/bn-kconfig-recover | 3e30cc6b3e5e273674a3ce6bca6c3bc60ac22f11 | [
"MIT"
] | 18 | 2022-01-02T16:48:25.000Z | 2022-03-16T12:52:39.000Z | __init__.py | zznop/bn-kconfig-recover | 3e30cc6b3e5e273674a3ce6bca6c3bc60ac22f11 | [
"MIT"
] | null | null | null | __init__.py | zznop/bn-kconfig-recover | 3e30cc6b3e5e273674a3ce6bca6c3bc60ac22f11 | [
"MIT"
] | 3 | 2022-01-02T16:48:43.000Z | 2022-01-04T17:08:11.000Z | """
Binary Ninja plugin for recovering kernel build configuration settings using BNIL
"""
import argparse
import logging
from binaryninja import (BinaryViewType, BinaryView, PluginCommand,
SaveFileNameField, get_form_input, BackgroundTaskThread)
class RecoverKConfigBackground(BackgroundTaskTh... | 29.8125 | 91 | 0.667016 | 631 | 0.220475 | 0 | 0 | 0 | 0 | 0 | 0 | 892 | 0.31167 |
b49d1896b18fa3dac7c56c26e4f2b64e748d5ed2 | 182 | py | Python | openapi_core/schema/operations/exceptions.py | grktsh/openapi-core | d4ada7bcbb9b13f5c5dd090988c35be7a0d141b7 | [
"BSD-3-Clause"
] | null | null | null | openapi_core/schema/operations/exceptions.py | grktsh/openapi-core | d4ada7bcbb9b13f5c5dd090988c35be7a0d141b7 | [
"BSD-3-Clause"
] | null | null | null | openapi_core/schema/operations/exceptions.py | grktsh/openapi-core | d4ada7bcbb9b13f5c5dd090988c35be7a0d141b7 | [
"BSD-3-Clause"
] | null | null | null | from openapi_core.schema.exceptions import OpenAPIMappingError
class OpenAPIOperationError(OpenAPIMappingError):
pass
class InvalidOperation(OpenAPIOperationError):
pass
| 18.2 | 62 | 0.835165 | 113 | 0.620879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b49f409da0defa952f5265984dc68c10a3ae4ba5 | 1,811 | py | Python | rlkit/envs/non_mujoco_half_cheetah_vel.py | hammer-wang/FOCAL-ICLR | 4d19149f86acc1d6b987c93cdd3a9d957535c5e3 | [
"MIT"
] | 24 | 2021-03-24T07:14:52.000Z | 2022-03-17T08:15:44.000Z | rlkit/envs/non_mujoco_half_cheetah_vel.py | hammer-wang/FOCAL-ICLR | 4d19149f86acc1d6b987c93cdd3a9d957535c5e3 | [
"MIT"
] | 4 | 2021-06-18T16:38:38.000Z | 2022-03-18T11:04:45.000Z | rlkit/envs/non_mujoco_half_cheetah_vel.py | hammer-wang/FOCAL-ICLR | 4d19149f86acc1d6b987c93cdd3a9d957535c5e3 | [
"MIT"
] | 6 | 2021-04-12T18:49:47.000Z | 2021-09-07T05:33:22.000Z | import numpy as np
from gym import spaces
from gym import Env
#from rlkit.envs.mujoco.half_cheetah import HalfCheetahEnv
from rlkit.envs import register_env
@register_env('cheetah-vel')
class HalfCheetahVelEnv(Env):
def __init__(self, task={}, n_tasks=2, randomize_tasks=True, max_episode_steps=200):
... | 28.746032 | 89 | 0.605191 | 1,611 | 0.889564 | 0 | 0 | 1,641 | 0.906129 | 0 | 0 | 201 | 0.110988 |
b49f48a21b3b551b45af59b6469d669944ac7823 | 6,812 | py | Python | src/openprocurement/planning/api/validation.py | pontostroy/api | 5afdd3a62a8e562cf77e2d963d88f1a26613d16a | [
"Apache-2.0"
] | 3 | 2020-03-13T06:44:23.000Z | 2020-11-05T18:25:29.000Z | src/openprocurement/planning/api/validation.py | pontostroy/api | 5afdd3a62a8e562cf77e2d963d88f1a26613d16a | [
"Apache-2.0"
] | 2 | 2021-03-25T23:29:58.000Z | 2022-03-21T22:18:37.000Z | src/openprocurement/planning/api/validation.py | pontostroy/api | 5afdd3a62a8e562cf77e2d963d88f1a26613d16a | [
"Apache-2.0"
] | 3 | 2020-10-16T16:25:14.000Z | 2021-05-22T12:26:20.000Z | # -*- coding: utf-8 -*-
from openprocurement.api.validation import (
validate_json_data,
validate_data,
validate_accreditation_level,
validate_accreditation_level_mode,
)
from openprocurement.api.utils import update_logging_context, error_handler, upload_objects_documents
from openprocurement.planning.a... | 39.375723 | 112 | 0.708456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,117 | 0.163975 |
b4a04bd98861d4add44fe78a70e2497100399370 | 1,176 | py | Python | Ago-Dic-2020/Ejemplos/clase-2.py | bryanbalderas/DAS_Sistemas | 1e31f088c0de7134471025a5730b0abfc19d936e | [
"MIT"
] | 41 | 2017-09-26T09:36:32.000Z | 2022-03-19T18:05:25.000Z | Ago-Dic-2020/Ejemplos/clase-2.py | bryanbalderas/DAS_Sistemas | 1e31f088c0de7134471025a5730b0abfc19d936e | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | Ago-Dic-2020/Ejemplos/clase-2.py | bryanbalderas/DAS_Sistemas | 1e31f088c0de7134471025a5730b0abfc19d936e | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z | # Importando librerías
from numpy import array
# Listas y arreglos
a = array(['h', 101, 'l', 'l', 'o'])
x = ['h', 101, 'l', 'l', 'o']
print(a)
print(x)
print("Tamaño: ", len(x))
# Condicionales
if isinstance(x[1], int):
x[1] = chr(x[1])
elif isinstance(x[1], str):
pass
else:
raise TypeError("Tipo no sop... | 17.294118 | 73 | 0.593537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 279 | 0.236641 |
b4a0c7230303a692bcc4f7d71deebfb17b27263a | 3,751 | py | Python | constants.py | lanthony42/Snek | e463b58eeba32bd26279a57fd3a523f4fb773da7 | [
"MIT"
] | null | null | null | constants.py | lanthony42/Snek | e463b58eeba32bd26279a57fd3a523f4fb773da7 | [
"MIT"
] | null | null | null | constants.py | lanthony42/Snek | e463b58eeba32bd26279a57fd3a523f4fb773da7 | [
"MIT"
] | null | null | null | import math
SCREEN_WIDTH = 1400
SCREEN_HEIGHT = 800
TEXT = (5, 5)
FPS = 60
BASE_SIZE = 10
EYE_SIZE = 4
PUPIL_SIZE = EYE_SIZE - 2
BASE_SPEED = 2
MIN_DISTANCE = 1
MAX_DISTANCE = MIN_DISTANCE + 3
SIZE_INC = 15
EYE_INC = SIZE_INC * 4
PUPIL_INC = SIZE_INC * 8
GROWTH_INC = SIZE_INC * 20
BOOST_MIN = 10
BOOST_FACTOR = 2
BOO... | 22.327381 | 94 | 0.564916 | 2,926 | 0.780059 | 0 | 0 | 76 | 0.020261 | 0 | 0 | 102 | 0.027193 |
b4a0edc51d50de306ea838cb4bc96583019d8526 | 831 | py | Python | app/routers/auth.py | nicolunardi/travela-server | 79537ed428c01bac90d078216c7513411b7695ad | [
"CNRI-Python"
] | null | null | null | app/routers/auth.py | nicolunardi/travela-server | 79537ed428c01bac90d078216c7513411b7695ad | [
"CNRI-Python"
] | null | null | null | app/routers/auth.py | nicolunardi/travela-server | 79537ed428c01bac90d078216c7513411b7695ad | [
"CNRI-Python"
] | null | null | null | from fastapi import APIRouter, Depends, status
from fastapi.security import OAuth2PasswordRequestForm
from sqlalchemy.orm import Session
from app.controllers.authControllers import login_user, register_user
from app.schemas.users import UserCreate
from app.schemas.tokens import Token
from app.config.database import get... | 24.441176 | 69 | 0.749699 | 0 | 0 | 0 | 0 | 478 | 0.575211 | 248 | 0.298436 | 31 | 0.037304 |
b4a48258b4b4da01eee0072c9a89c865191a602a | 2,222 | py | Python | clib/links/model/recognition/vggnet.py | Swall0w/clib | 46f659783d5a0a6ec5994c3c707c1cc8a7934385 | [
"MIT"
] | 1 | 2017-08-27T00:01:27.000Z | 2017-08-27T00:01:27.000Z | clib/links/model/recognition/vggnet.py | Swall0w/clib | 46f659783d5a0a6ec5994c3c707c1cc8a7934385 | [
"MIT"
] | 49 | 2017-08-20T02:09:26.000Z | 2017-12-31T11:58:27.000Z | clib/links/model/recognition/vggnet.py | Swall0w/clib | 46f659783d5a0a6ec5994c3c707c1cc8a7934385 | [
"MIT"
] | 1 | 2017-12-08T08:31:38.000Z | 2017-12-08T08:31:38.000Z | import chainer
import chainer.functions as F
import chainer.links as L
class VGGNet(chainer.Chain):
"""
VGGNet
- It takes (224, 224, 3) sized image as imput
"""
def __init__(self, n_class=1000):
super(VGGNet, self).__init__()
with self.init_scope():
self.conv1_1 = L.C... | 35.83871 | 72 | 0.559406 | 2,148 | 0.966697 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.032403 |
b4a6dc56ed919c7cf17e22c60123ac3000343e48 | 2,147 | py | Python | scraper.py | TheLady/say_what | 22b187e000b0ab13606c73804db0af89b945751d | [
"MIT"
] | null | null | null | scraper.py | TheLady/say_what | 22b187e000b0ab13606c73804db0af89b945751d | [
"MIT"
] | null | null | null | scraper.py | TheLady/say_what | 22b187e000b0ab13606c73804db0af89b945751d | [
"MIT"
] | null | null | null | import sqlite3
import requests
from bs4 import BeautifulSoup
from login import keys
import config
ARTICLE_SEARCH_URL = 'http://api.nytimes.com/svc/search/v2/articlesearch.json?api-key={key}'
SUNLIGHT_CONGRESS_URL = 'http://congress.api.sunlightfoundation.com/{method}?{query}&apikey={key}'
def get_json(url):
ret... | 31.573529 | 98 | 0.566372 | 0 | 0 | 357 | 0.166279 | 0 | 0 | 0 | 0 | 548 | 0.25524 |
b4a6ed73413c10935d4c8fa52b9e4361216bd892 | 850 | py | Python | beatsaver/entity/MapTestplay.py | jundoll/bs-api-py | 1e12e1d68d6cbc4c8e25c0da961396854391be5b | [
"MIT"
] | null | null | null | beatsaver/entity/MapTestplay.py | jundoll/bs-api-py | 1e12e1d68d6cbc4c8e25c0da961396854391be5b | [
"MIT"
] | null | null | null | beatsaver/entity/MapTestplay.py | jundoll/bs-api-py | 1e12e1d68d6cbc4c8e25c0da961396854391be5b | [
"MIT"
] | null | null | null | # load modules
from dataclasses import dataclass
from typing import Union
from ...beatsaver.entity import UserDetail
# definition class
@dataclass(frozen=True)
class MapTestplay:
createdAt: str
feedback: str
feedbackAt: str
user: Union[UserDetail.UserDetail, None]
video: str
# definition funct... | 21.25 | 54 | 0.628235 | 136 | 0.16 | 0 | 0 | 160 | 0.188235 | 0 | 0 | 99 | 0.116471 |
b4a997475aae508c6542885c908cb30034b6fc05 | 1,425 | py | Python | django_settings_diff/cli.py | GreenBankObservatory/django-settings-diff | 7940ddb6dd42e1464ae58814b8acd504b3824aaf | [
"MIT"
] | null | null | null | django_settings_diff/cli.py | GreenBankObservatory/django-settings-diff | 7940ddb6dd42e1464ae58814b8acd504b3824aaf | [
"MIT"
] | null | null | null | django_settings_diff/cli.py | GreenBankObservatory/django-settings-diff | 7940ddb6dd42e1464ae58814b8acd504b3824aaf | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""docstring"""
from __future__ import print_function, unicode_literals
import argparse
import sys
from .settingsdiff import dump_settings, diff_settings
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"settings_path_1",
nar... | 26.886792 | 86 | 0.605614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 479 | 0.33614 |
b4a9a2a19510f8c534dd1f30edf649c69077292a | 5,283 | py | Python | Project 1-1/evaluate.py | marridG/2020-EI339_Team_Project | 013cd1bf596f8079886809caee65757ecc870dfe | [
"MIT"
] | null | null | null | Project 1-1/evaluate.py | marridG/2020-EI339_Team_Project | 013cd1bf596f8079886809caee65757ecc870dfe | [
"MIT"
] | null | null | null | Project 1-1/evaluate.py | marridG/2020-EI339_Team_Project | 013cd1bf596f8079886809caee65757ecc870dfe | [
"MIT"
] | null | null | null | import os
import types
import typing
import numpy as np
import constants
import environment
import policy
import update
class EvaluateEnv:
def __init__(self, show_details: bool = True):
self.env_obj = environment.Easy21Env()
self.show_details = show_details
def reset(self):
self.env_... | 38.562044 | 115 | 0.571266 | 3,336 | 0.631459 | 0 | 0 | 0 | 0 | 0 | 0 | 1,632 | 0.308915 |
b4abd48fdafccf895445255273d39c4cebef4513 | 502 | py | Python | axelrod/tests/unit/test_mock_player.py | dashiellfryer/Axelrod | 0d684b3273d15e3e0ecf70be8e893fffc5277c84 | [
"MIT"
] | null | null | null | axelrod/tests/unit/test_mock_player.py | dashiellfryer/Axelrod | 0d684b3273d15e3e0ecf70be8e893fffc5277c84 | [
"MIT"
] | null | null | null | axelrod/tests/unit/test_mock_player.py | dashiellfryer/Axelrod | 0d684b3273d15e3e0ecf70be8e893fffc5277c84 | [
"MIT"
] | null | null | null | import unittest
from axelrod import Action, MockPlayer, Player
C, D = Action.C, Action.D
class TestMockPlayer(unittest.TestCase):
def test_strategy(self):
for action in [C, D]:
m = MockPlayer(actions=[action])
p2 = Player()
self.assertEqual(action, m.strategy(p2))
... | 23.904762 | 52 | 0.591633 | 407 | 0.810757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4ac8299434ea398cb53c3d22c8f3e7ec3f42e87 | 10,870 | py | Python | covidtracker/writer_flatcurve.py | mfkasim91/covid19-gradient-tracker | a25d245ef35782052d5ab179d431c6079074b047 | [
"MIT"
] | 2 | 2020-05-25T16:06:31.000Z | 2020-07-22T06:42:38.000Z | covidtracker/writer_flatcurve.py | mfkasim91/covid19-gradient-tracker | a25d245ef35782052d5ab179d431c6079074b047 | [
"MIT"
] | null | null | null | covidtracker/writer_flatcurve.py | mfkasim91/covid19-gradient-tracker | a25d245ef35782052d5ab179d431c6079074b047 | [
"MIT"
] | 1 | 2020-07-22T06:47:11.000Z | 2020-07-22T06:47:11.000Z | import os
import datetime
import numpy as np
from jinja2 import Template
from scipy.stats import hypergeom
import matplotlib.pyplot as plt
import covidtracker as ct
from covidtracker.dataloader import DataLoader
from covidtracker.models import update_samples
from covidtracker.plotter import plot_interval
def plot_grad... | 35.639344 | 233 | 0.626127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,603 | 0.239466 |
b4acdc0ec67a2e7b7290b7d91f3ae5eb0dcf9fcf | 359 | py | Python | SNDG/BioMongo/Model/exceptions.py | ezequieljsosa/sndg-bio | 5f709b5b572564ec1dfa40d090eca9a34295743e | [
"MIT"
] | null | null | null | SNDG/BioMongo/Model/exceptions.py | ezequieljsosa/sndg-bio | 5f709b5b572564ec1dfa40d090eca9a34295743e | [
"MIT"
] | null | null | null | SNDG/BioMongo/Model/exceptions.py | ezequieljsosa/sndg-bio | 5f709b5b572564ec1dfa40d090eca9a34295743e | [
"MIT"
] | 1 | 2020-09-01T15:57:54.000Z | 2020-09-01T15:57:54.000Z | '''
Created on Jun 15, 2016
@author: eze
'''
class NotFoundException(Exception):
'''
classdocs
'''
def __init__(self, element):
'''
Constructor
'''
self.elementNotFound = element
def __str__(self, *args, **kwargs):
return "NotFoundException(%s)" %... | 16.318182 | 61 | 0.537604 | 294 | 0.818942 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.356546 |
b4ae5a006f917cb0bbbc0e033064a28351e9c257 | 782 | py | Python | Strings/tablePrinter.py | shoalcellos/AutomateTheBoringStuff | 76d4ead2d41caaa96943cc64000da88c34bef75e | [
"MIT"
] | null | null | null | Strings/tablePrinter.py | shoalcellos/AutomateTheBoringStuff | 76d4ead2d41caaa96943cc64000da88c34bef75e | [
"MIT"
] | null | null | null | Strings/tablePrinter.py | shoalcellos/AutomateTheBoringStuff | 76d4ead2d41caaa96943cc64000da88c34bef75e | [
"MIT"
] | null | null | null | # Solution to the practise problem
# https://automatetheboringstuff.com/chapter6/
# Table Printer
def printTable(tableList):
"""Prints the list of list of strings with each column right justified"""
colWidth = 0
for row in tableList:
colWidth = max(colWidth, max([len(x) for x in row]))
col... | 30.076923 | 81 | 0.602302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 264 | 0.337596 |
b4af056b2e6592ec3909fe81f77a486c195eff3f | 4,727 | py | Python | src/layers/layers.py | jabalazs/gating | 713f954656bea127ea331ab85aa83f6aaad21954 | [
"MIT"
] | 10 | 2019-04-08T02:09:37.000Z | 2021-05-04T10:30:44.000Z | src/layers/layers.py | lizezhonglaile/gating | 713f954656bea127ea331ab85aa83f6aaad21954 | [
"MIT"
] | null | null | null | src/layers/layers.py | lizezhonglaile/gating | 713f954656bea127ea331ab85aa83f6aaad21954 | [
"MIT"
] | 4 | 2019-09-24T14:24:25.000Z | 2021-09-02T14:41:38.000Z | import torch
import torch.nn as nn
from ..utils.torch import pack_forward
from .pooling import GatherLastLayer
class CharEncoder(nn.Module):
FORWARD_BACKWARD_AGGREGATION_METHODS = ["cat", "linear_sum"]
def __init__(
self,
char_embedding_dim,
hidden_size,
char_fw_bw_agg_method... | 33.524823 | 84 | 0.635287 | 4,609 | 0.975037 | 0 | 0 | 0 | 0 | 0 | 0 | 1,628 | 0.344404 |
b4af1aab669bbf7ec4facbb4437773d39076d0e0 | 7,458 | py | Python | backend/handlers/graphql/mutation_utils/mutationmethod.py | al-indigo/vmemperor | 80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1 | [
"Apache-2.0"
] | null | null | null | backend/handlers/graphql/mutation_utils/mutationmethod.py | al-indigo/vmemperor | 80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1 | [
"Apache-2.0"
] | 8 | 2017-10-11T13:26:10.000Z | 2021-12-13T20:27:52.000Z | backend/handlers/graphql/mutation_utils/mutationmethod.py | ispras/vmemperor | 80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1 | [
"Apache-2.0"
] | 4 | 2017-07-27T12:25:42.000Z | 2018-01-28T02:06:26.000Z | import json
import uuid
from dataclasses import dataclass
from typing import Callable, Sequence, Any, Optional, Tuple, Union, List, Generic, TypeVar
from serflag import SerFlag
from handlers.graphql.graphql_handler import ContextProtocol
from handlers.graphql.utils.string import camelcase
from xenadapter.task import ge... | 42.375 | 181 | 0.622017 | 6,464 | 0.86672 | 0 | 0 | 6,486 | 0.86967 | 0 | 0 | 2,635 | 0.353312 |
b4af6bcde4fcd433d18c5597fca9f5e7a83c63f7 | 3,383 | py | Python | infra/utils.py | BrandoZhang/alis | 9699eba112eda2ea27d6023221df2df9dc270b7f | [
"CC-BY-2.0"
] | 176 | 2021-04-15T05:28:59.000Z | 2022-03-30T07:06:00.000Z | infra/utils.py | BrandoZhang/alis | 9699eba112eda2ea27d6023221df2df9dc270b7f | [
"CC-BY-2.0"
] | 12 | 2021-04-17T20:20:53.000Z | 2022-03-19T07:04:58.000Z | infra/utils.py | BrandoZhang/alis | 9699eba112eda2ea27d6023221df2df9dc270b7f | [
"CC-BY-2.0"
] | 22 | 2021-04-16T02:05:41.000Z | 2022-03-03T12:23:10.000Z | import os
import shutil
import subprocess
from distutils.dir_util import copy_tree
from shutil import copyfile
from typing import List, Optional
import click
import git
from omegaconf import DictConfig
def copy_objects(target_dir: os.PathLike, objects_to_copy: List[os.PathLike]):
for src_path in objects_to_copy:... | 32.528846 | 124 | 0.670706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 694 | 0.205143 |
b4b34142fa2eee3e44e12513d4714643f5cc5f2d | 2,011 | py | Python | App/templatetags/app_extras.py | kholdarbekov/Petrol | 7d683def3ade380b0323e42a1d9ef8190bcc68ba | [
"MIT"
] | null | null | null | App/templatetags/app_extras.py | kholdarbekov/Petrol | 7d683def3ade380b0323e42a1d9ef8190bcc68ba | [
"MIT"
] | null | null | null | App/templatetags/app_extras.py | kholdarbekov/Petrol | 7d683def3ade380b0323e42a1d9ef8190bcc68ba | [
"MIT"
] | null | null | null | from django import template
from django.utils import timezone
register = template.Library()
@register.filter
def sold(oil, delta_months='12'):
total = 0
curTime = timezone.localtime(timezone.now())
from_time = curTime - timezone.timedelta(days=int(delta_months)*30)
for t in oil.trades.filter(dateTime... | 21.623656 | 93 | 0.625062 | 0 | 0 | 0 | 0 | 1,891 | 0.940328 | 0 | 0 | 39 | 0.019393 |
b4b539761e3c4833580192978074b62223577348 | 393 | py | Python | tests/sdk/test_util.py | unparalleled-js/py42 | 8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1 | [
"MIT"
] | 1 | 2020-08-18T22:00:22.000Z | 2020-08-18T22:00:22.000Z | tests/sdk/test_util.py | unparalleled-js/py42 | 8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1 | [
"MIT"
] | null | null | null | tests/sdk/test_util.py | unparalleled-js/py42 | 8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1 | [
"MIT"
] | 1 | 2021-05-10T23:33:34.000Z | 2021-05-10T23:33:34.000Z | from datetime import datetime
import py42.util as util
def test_convert_timestamp_to_str_returns_expected_str():
assert util.convert_timestamp_to_str(235123656) == "1977-06-14T08:07:36.000Z"
def test_convert_datetime_to_timestamp_str_returns_expected_str():
d = datetime(2020, 4, 19, 13, 3, 2, 3)
assert... | 30.230769 | 82 | 0.78117 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.132316 |
b4bc1366086824966b1d4039b3e9d25839830694 | 849 | py | Python | heartrate.py | mtimkovich/python-fitbit | d6b11b31a716e2fcf4617cf31e0fb5b1da2b86e3 | [
"Apache-2.0"
] | null | null | null | heartrate.py | mtimkovich/python-fitbit | d6b11b31a716e2fcf4617cf31e0fb5b1da2b86e3 | [
"Apache-2.0"
] | null | null | null | heartrate.py | mtimkovich/python-fitbit | d6b11b31a716e2fcf4617cf31e0fb5b1da2b86e3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Script for fetching my min and max heart rate over the past 15 minutes."""
import time
from config import *
from gather_keys_oauth2 import OAuth2Server
if __name__ == '__main__':
server = OAuth2Server(client_id, client_secret)
server.browser_authorize()
fb = server.fitbit
det... | 30.321429 | 100 | 0.63722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 308 | 0.361927 |
b4bc63d3ed1e43a273b9651b0e35d83b769d5ccc | 11,891 | py | Python | wienerschnitzelgemeinschaft/src/Dmytro/src/train_triplet.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | wienerschnitzelgemeinschaft/src/Dmytro/src/train_triplet.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | wienerschnitzelgemeinschaft/src/Dmytro/src/train_triplet.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | import argparse
import collections
import os
import cv2
import numpy as np
import pandas as pd
import pretrainedmodels
import torch
import torch.optim as optim
import torchsummary
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
from torchvision import datasets, models, transforms
from tqdm... | 34.466667 | 113 | 0.604827 | 1,065 | 0.089564 | 0 | 0 | 0 | 0 | 0 | 0 | 1,768 | 0.148684 |
b4c02e731c5a64ce720cceaeac6970bdb4974960 | 47,312 | py | Python | tools/armature.py | kayteh/cats-blender-plugin | 7fe6cc67aa754f4885f03d7801ba7745e1a6cf12 | [
"MIT"
] | 3 | 2018-10-12T05:32:16.000Z | 2020-05-16T16:24:34.000Z | tools/armature.py | kayteh/cats-blender-plugin | 7fe6cc67aa754f4885f03d7801ba7745e1a6cf12 | [
"MIT"
] | null | null | null | tools/armature.py | kayteh/cats-blender-plugin | 7fe6cc67aa754f4885f03d7801ba7745e1a6cf12 | [
"MIT"
] | null | null | null | # MIT License
# Copyright (c) 2017 GiveMeAllYourCats
# 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, including without limitation the rights
# to use, copy, modify, mer... | 41.611258 | 145 | 0.521622 | 43,581 | 0.921141 | 0 | 0 | 218 | 0.004608 | 0 | 0 | 12,506 | 0.26433 |
b4c089a9dff52456f55324f47ec3da262a9da232 | 8,392 | py | Python | lentil/fourier.py | andykee/lentil | 28b3e449336ec4a405144b302d7c0d92d308f052 | [
"BSD-3-Clause"
] | 6 | 2020-07-30T19:33:22.000Z | 2022-01-19T19:17:13.000Z | lentil/fourier.py | andykee/lentil | 28b3e449336ec4a405144b302d7c0d92d308f052 | [
"BSD-3-Clause"
] | 42 | 2020-06-19T06:02:10.000Z | 2022-03-05T00:06:46.000Z | lentil/fourier.py | andykee/lentil | 28b3e449336ec4a405144b302d7c0d92d308f052 | [
"BSD-3-Clause"
] | 2 | 2021-08-05T18:27:08.000Z | 2022-01-18T19:42:40.000Z | import functools
import numpy as np
def dft2(f, alpha, npix=None, shift=(0, 0), offset=(0, 0), unitary=True, out=None):
"""Compute the 2-dimensional discrete Fourier Transform.
This function allows independent control over input shape, output shape,
and output sampling by implementing the matrix triple p... | 38.319635 | 164 | 0.636916 | 0 | 0 | 0 | 0 | 715 | 0.0852 | 0 | 0 | 6,267 | 0.746783 |
b4c0a42efb0c3bbdc0fcf9baf9ae460765b29cd0 | 999 | py | Python | setup.py | db48x/flask-digest | 6a3138aef4baa1c1a129eb655c2644bf61387af1 | [
"MIT"
] | 8 | 2015-07-18T10:34:38.000Z | 2019-11-04T01:50:15.000Z | setup.py | db48x/flask-digest | 6a3138aef4baa1c1a129eb655c2644bf61387af1 | [
"MIT"
] | 1 | 2019-07-22T14:08:12.000Z | 2020-05-10T16:36:36.000Z | setup.py | db48x/flask-digest | 6a3138aef4baa1c1a129eb655c2644bf61387af1 | [
"MIT"
] | 3 | 2016-05-02T19:04:34.000Z | 2021-07-01T10:58:31.000Z | from setuptools import setup, find_packages
setup(
name = 'Flask-Digest',
version = '0.2.1',
author = 'Victor Andrade de Almeida',
author_email = 'vct.a.almeida@gmail.com',
url = 'https://github.com/vctandrade/flask-digest',
description = 'A RESTful authentication service for Flask applicatio... | 31.21875 | 76 | 0.618619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 573 | 0.573574 |
b4c114322a503517ae099af3c79f2d917b2231a7 | 210 | py | Python | model/contact.py | tarsic99/Python-training- | 96da2df5f249f39370295504748b218247f2935c | [
"Apache-2.0"
] | null | null | null | model/contact.py | tarsic99/Python-training- | 96da2df5f249f39370295504748b218247f2935c | [
"Apache-2.0"
] | null | null | null | model/contact.py | tarsic99/Python-training- | 96da2df5f249f39370295504748b218247f2935c | [
"Apache-2.0"
] | null | null | null | class Contact:
def __init__(self, first_name = None, last_name = None, mobile_phone = None):
self.first_name = first_name
self.last_name = last_name
self.mobile_phone = mobile_phone | 35 | 81 | 0.685714 | 210 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4c2782a03a0c1f00a31c56a2d167a1098a5ec9d | 42,143 | py | Python | src/mrnet/stochastic/kmc.py | kamronald/mrnet | 1d0bd6c8ac38deb913a77fce3d6ebc007529993f | [
"BSD-3-Clause-LBNL"
] | null | null | null | src/mrnet/stochastic/kmc.py | kamronald/mrnet | 1d0bd6c8ac38deb913a77fce3d6ebc007529993f | [
"BSD-3-Clause-LBNL"
] | null | null | null | src/mrnet/stochastic/kmc.py | kamronald/mrnet | 1d0bd6c8ac38deb913a77fce3d6ebc007529993f | [
"BSD-3-Clause-LBNL"
] | null | null | null | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
import math
import random
import numpy as np
import matplotlib.pyplot as plt
from scipy.constants import N_A
from numba import jit
import copy
__author__ = "Ronald Kam, Evan Spotte-Smith, Xiaowei Xie"
__email_... | 43.312436 | 120 | 0.578008 | 28,787 | 0.683079 | 0 | 0 | 7,061 | 0.167549 | 0 | 0 | 12,836 | 0.304582 |
b4c286e145a31477357b61710d97854704934bc6 | 7,816 | py | Python | Testing/Python/TestLinearOrthotropicMaterial.py | Numerics88/vtkbone | 5a6ab2870679e9e7ea51926c34911607b9d85235 | [
"MIT"
] | 3 | 2017-04-04T04:59:22.000Z | 2022-03-13T11:22:40.000Z | Testing/Python/TestLinearOrthotropicMaterial.py | Numerics88/vtkbone | 5a6ab2870679e9e7ea51926c34911607b9d85235 | [
"MIT"
] | 5 | 2017-04-06T19:46:39.000Z | 2019-12-11T23:41:41.000Z | Testing/Python/TestLinearOrthotropicMaterial.py | Numerics88/vtkbone | 5a6ab2870679e9e7ea51926c34911607b9d85235 | [
"MIT"
] | 2 | 2017-04-29T20:54:57.000Z | 2017-04-29T22:28:10.000Z | from __future__ import division
import sys
import numpy
from numpy.core import *
import vtk
from vtk.util.numpy_support import vtk_to_numpy, numpy_to_vtk
import vtkbone
import traceback
import unittest
class TestLinearOrthotropicMaterial (unittest.TestCase):
def test_isotropic (self):
material = vtkbone... | 51.084967 | 195 | 0.714304 | 7,562 | 0.967503 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.018552 |
b4c29b196e85ffde60d81fb206a0e333c3a97d09 | 3,376 | py | Python | hailo_model_zoo/datasets/create_kitti_depth_tfrecord.py | markgrobman/hailo_model_zoo | 2ea72272ed2debd7f6bee7c4a65bd41de57ec9cf | [
"MIT"
] | 2 | 2021-07-20T15:09:51.000Z | 2021-11-17T11:05:02.000Z | hailo_model_zoo/datasets/create_kitti_depth_tfrecord.py | markgrobman/hailo_model_zoo | 2ea72272ed2debd7f6bee7c4a65bd41de57ec9cf | [
"MIT"
] | null | null | null | hailo_model_zoo/datasets/create_kitti_depth_tfrecord.py | markgrobman/hailo_model_zoo | 2ea72272ed2debd7f6bee7c4a65bd41de57ec9cf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import argparse
import tensorflow as tf
import numpy as np
from PIL import Image
def _int64_feature(values):
if not isinstance(values, (tuple, list)):
values = [values]
return tf.train.Feature(int64_list=tf.train.Int64List(value=values))
def _bytes_feature(values):
... | 37.932584 | 97 | 0.616706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 0.139218 |
b4c33445657935893d39d91a0309206fd2cd458e | 391 | py | Python | tellurium/notebooks/__init__.py | kirichoi/tellurium | 77cf6e794600587741ebe209644a78051e0db1d5 | [
"Apache-2.0"
] | 73 | 2016-06-13T12:44:28.000Z | 2021-12-31T14:44:39.000Z | tellurium/notebooks/__init__.py | kirichoi/tellurium | 77cf6e794600587741ebe209644a78051e0db1d5 | [
"Apache-2.0"
] | 461 | 2015-03-26T00:05:16.000Z | 2022-03-16T17:24:35.000Z | tellurium/notebooks/__init__.py | kirichoi/tellurium | 77cf6e794600587741ebe209644a78051e0db1d5 | [
"Apache-2.0"
] | 30 | 2016-01-18T16:50:54.000Z | 2021-07-06T09:29:53.000Z | """
notebook imports
"""
from __future__ import absolute_import
import warnings
import ipywidgets
import IPython
from .notebooktools import *
from .ontologysearch import OntologySearch
from .parameterslider import ParameterSlider
from .speciessearch import SearchBySpeciesForm
# except ImportError:
# warnings.war... | 17.772727 | 83 | 0.808184 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.327366 |
b4c33dadc7de5b116b0004a7e5d4f5eac3a9ab0a | 2,297 | py | Python | fashion/warehouse/fashion.core/xform/generateJinja2.py | braddillman/fashion | 2588f3712a72e81f3cb7733e40b6c3751aa5ece2 | [
"Apache-2.0"
] | 1 | 2021-05-23T09:01:39.000Z | 2021-05-23T09:01:39.000Z | fashion/warehouse/fashion.core/xform/generateJinja2.py | braddillman/fashion | 2588f3712a72e81f3cb7733e40b6c3751aa5ece2 | [
"Apache-2.0"
] | null | null | null | fashion/warehouse/fashion.core/xform/generateJinja2.py | braddillman/fashion | 2588f3712a72e81f3cb7733e40b6c3751aa5ece2 | [
"Apache-2.0"
] | null | null | null | '''
Created on 2018-12-21
Copyright (c) 2018 Bradford Dillman
Generate code from a model and a jinja2 template.
'''
import logging
from pathlib import Path
from jinja2 import FileSystemLoader, Environment
from jinja2.exceptions import TemplateNotFound
from munch import munchify
from fashion.mirror import Mirror
... | 33.779412 | 94 | 0.62734 | 1,715 | 0.746626 | 0 | 0 | 0 | 0 | 0 | 0 | 611 | 0.265999 |
b4c387f472a346519c5c008b90b4db7667d0b481 | 622 | py | Python | algorithm/821.py | ChuangbinWang/leetcode | 79c4ea82dc2f4105ed40ec2f4d3d9ee797c81d3b | [
"MIT"
] | null | null | null | algorithm/821.py | ChuangbinWang/leetcode | 79c4ea82dc2f4105ed40ec2f4d3d9ee797c81d3b | [
"MIT"
] | null | null | null | algorithm/821.py | ChuangbinWang/leetcode | 79c4ea82dc2f4105ed40ec2f4d3d9ee797c81d3b | [
"MIT"
] | null | null | null | class Solution(object):
def shortestToChar(self, S, C):
"""
:type S: str
:type C: str
:rtype: List[int]
"""
pl = []
ret = [0] * len(S)
for i in range(0, len(S)):
if S[i] == C:
pl.append(i)
for i in range(... | 27.043478 | 49 | 0.414791 | 498 | 0.800643 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.18328 |
b4c44cb204c3826e5c1e00d10a308dfe64d24ddf | 386 | py | Python | _solved/_solutions/visualization_02_seaborn14.py | jorisvandenbossche/ICES-python-data | 63864947657f37cb26cb4e2dcd67ff106dffe9cd | [
"BSD-3-Clause"
] | 1 | 2022-03-02T17:41:46.000Z | 2022-03-02T17:41:46.000Z | notebooks/_solutions/visualization_02_seaborn14.py | jorisvandenbossche/ICES-python-data | 63864947657f37cb26cb4e2dcd67ff106dffe9cd | [
"BSD-3-Clause"
] | 1 | 2022-03-14T15:15:53.000Z | 2022-03-14T15:15:53.000Z | notebooks/_solutions/visualization_02_seaborn14.py | jorisvandenbossche/ICES-python-data | 63864947657f37cb26cb4e2dcd67ff106dffe9cd | [
"BSD-3-Clause"
] | null | null | null | # Optional solution with tidy data representation (providing x and y)
monthly_victim_counts_melt = monthly_victim_counts.reset_index().melt(
id_vars="datetime", var_name="victim_type", value_name="count"
)
sns.relplot(
data=monthly_victim_counts_melt,
x="datetime",
y="count",
hue="victim_type",
... | 27.571429 | 70 | 0.712435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.380829 |
b4c4c46e92d0cc32c81af417d80cbffbc1577999 | 488 | py | Python | Grokking-Algorithms/Selection_Sort.py | AzuLiu/Algorithms-by-Python | 4c907725e3c55222642990827ca0aba302ab2a8c | [
"MIT"
] | 1 | 2018-03-17T19:51:46.000Z | 2018-03-17T19:51:46.000Z | Grokking-Algorithms/Selection_Sort.py | AzuLiu/Algorithms-by-Python | 4c907725e3c55222642990827ca0aba302ab2a8c | [
"MIT"
] | null | null | null | Grokking-Algorithms/Selection_Sort.py | AzuLiu/Algorithms-by-Python | 4c907725e3c55222642990827ca0aba302ab2a8c | [
"MIT"
] | null | null | null | def findSmallest(arr):
smallest = arr[0]
smallest_index = 0
for i in range(1, len(arr)):
if arr[i] < smallest:
smallest = arr[i]
smallest_index = i
return smallest_index
def selection_sort(arr):
newarr = []
for i in range(len(arr)):
smallest... | 24.4 | 47 | 0.581967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4c61c8f7d576e30bc60c8fc8b5200df83eec589 | 73 | py | Python | library/source1/mdl/structs/__init__.py | anderlli0053/SourceIO | 3c0c4839939ce698439987ac52154f89ee2f5341 | [
"MIT"
] | 199 | 2019-04-02T02:30:58.000Z | 2022-03-30T21:29:49.000Z | library/source1/mdl/structs/__init__.py | anderlli0053/SourceIO | 3c0c4839939ce698439987ac52154f89ee2f5341 | [
"MIT"
] | 113 | 2019-03-03T19:36:25.000Z | 2022-03-31T19:44:05.000Z | library/source1/mdl/structs/__init__.py | anderlli0053/SourceIO | 3c0c4839939ce698439987ac52154f89ee2f5341 | [
"MIT"
] | 38 | 2019-05-15T16:49:30.000Z | 2022-03-22T03:40:43.000Z | from ....utils.byte_io_mdl import ByteIO
from ....shared.base import Base | 36.5 | 40 | 0.767123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4c6b2e3ba90e086aba9fcd3f0c69b5fe6016f3e | 71 | py | Python | web2py-appliances-master/VideoLibrary/languages/it.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | 4 | 2015-05-28T04:37:28.000Z | 2017-12-03T11:11:27.000Z | languages/it.py | sungchi/feed9 | 25aafce5a47fef6133ac7fef42401cbe62003d81 | [
"MIT"
] | null | null | null | languages/it.py | sungchi/feed9 | 25aafce5a47fef6133ac7fef42401cbe62003d81 | [
"MIT"
] | null | null | null | {
'Hello World':'Salve Mondo',
'Welcome to web2py':'Ciao da wek2py',
}
| 14.2 | 37 | 0.661972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.859155 |
b4c7bce749ccc33db70d2dbdefc0de7260a71e74 | 190 | py | Python | rtmBot/izyrtm_prop.py | izyrtm/izyrtm-server | c1bf0a6c3734decb7cff8266706060791479d46b | [
"Apache-2.0"
] | 1 | 2019-10-05T14:41:02.000Z | 2019-10-05T14:41:02.000Z | rtmBot/izyrtm_prop.py | izyrtm/izyrtm-server | c1bf0a6c3734decb7cff8266706060791479d46b | [
"Apache-2.0"
] | null | null | null | rtmBot/izyrtm_prop.py | izyrtm/izyrtm-server | c1bf0a6c3734decb7cff8266706060791479d46b | [
"Apache-2.0"
] | null | null | null | domain='https://monbot.hopto.org'
apm_id='admin'
apm_pw='New1234!'
apm_url='https://monbot.hopto.org:3000'
db_host='monbot.hopto.org'
db_user='izyrtm'
db_pw='new1234!'
db_datadbase='monbot' | 21.111111 | 39 | 0.752632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.621053 |
b4c80401758b4e5dc91c46566ed5b6f3d9d37ae4 | 721 | py | Python | get_pos_data.py | chinnadhurai/lm-context-analysis | 826a4eb96738777c3a5ce4dc4300f5b5fc29ea8a | [
"Apache-2.0"
] | 42 | 2018-05-14T15:40:45.000Z | 2022-01-21T13:31:42.000Z | get_pos_data.py | chinnadhurai/lm-context-analysis | 826a4eb96738777c3a5ce4dc4300f5b5fc29ea8a | [
"Apache-2.0"
] | null | null | null | get_pos_data.py | chinnadhurai/lm-context-analysis | 826a4eb96738777c3a5ce4dc4300f5b5fc29ea8a | [
"Apache-2.0"
] | 11 | 2018-05-25T07:03:53.000Z | 2020-03-15T15:52:01.000Z | import sys
if len(sys.argv) < 2:
print('Need the dataset name!')
exit(0)
for split in ['train', 'valid', 'test']:
with open('data/'+sys.argv[1]+'/'+split+'.txt', 'r') as f1, open(
'data/'+sys.argv[1]+'_pos_only/'+split+'.txt', 'r') as f2, open(
'data/'+sys.argv[1]+'_pos/'+split... | 32.772727 | 78 | 0.481276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.217753 |
b4c97a273a81770eaaca18c88e6e3fb3e5d16e27 | 1,307 | py | Python | cupy/linalg/norm.py | umitanuki/chainer | 225c56b233e684ff4855451d2af4c2fb66915f21 | [
"MIT"
] | null | null | null | cupy/linalg/norm.py | umitanuki/chainer | 225c56b233e684ff4855451d2af4c2fb66915f21 | [
"MIT"
] | null | null | null | cupy/linalg/norm.py | umitanuki/chainer | 225c56b233e684ff4855451d2af4c2fb66915f21 | [
"MIT"
] | 1 | 2018-11-18T00:36:51.000Z | 2018-11-18T00:36:51.000Z | def norm(x, ord=None, axis=None):
# TODO(beam2d): Implement it
raise NotImplementedError
def cond(x, p=None):
# TODO(beam2d): Implement it
raise NotImplementedError
def det(a):
# TODO(beam2d): Implement it
raise NotImplementedError
def matrix_rank(M, tol=None):
# TODO(beam2d): Implemen... | 26.673469 | 77 | 0.646519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 859 | 0.65723 |
b4cc3ae61af4ef20bae2801cc4f46d491ccbd240 | 2,771 | py | Python | examples/optical_elements/examples_refractive_interface.py | srio/minishadow | 019bf46106f09f89297e01c273784e8059e02014 | [
"MIT"
] | 1 | 2019-10-30T10:04:43.000Z | 2019-10-30T10:04:43.000Z | examples/optical_elements/examples_refractive_interface.py | srio/minishadow | 019bf46106f09f89297e01c273784e8059e02014 | [
"MIT"
] | 9 | 2020-09-02T16:13:01.000Z | 2020-09-30T15:09:44.000Z | examples/optical_elements/examples_refractive_interface.py | srio/shadow4 | 019bf46106f09f89297e01c273784e8059e02014 | [
"MIT"
] | null | null | null |
import numpy
from shadow4.sources.source_geometrical.source_geometrical import SourceGeometrical
from shadow4.beamline.optical_elements.refractors.s4_conic_interface import S4ConicInterface, S4ConicInterfaceElement
from shadow4.tools.graphics import plotxy
from shadow4.syned.element_coordinates import ElementCoord... | 32.6 | 117 | 0.611693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 286 | 0.103212 |
b4cc52d37e832307c2b993281014ae5693bca403 | 281 | py | Python | recipes/transabyss/setup.py | ieguinoa/bioconda-recipes | da8a66ec30d36273a8cdf8783a26604f23c45534 | [
"MIT"
] | null | null | null | recipes/transabyss/setup.py | ieguinoa/bioconda-recipes | da8a66ec30d36273a8cdf8783a26604f23c45534 | [
"MIT"
] | null | null | null | recipes/transabyss/setup.py | ieguinoa/bioconda-recipes | da8a66ec30d36273a8cdf8783a26604f23c45534 | [
"MIT"
] | null | null | null | import subprocess
from setuptools import setup, find_packages, Extension
setup(
name='transabyss',
version='1.54',
author='transabyss',
license='Free Software License',
packages=['transabyss'],
scripts=['scripts/transabyss', 'scripts/transabyss-merge'],
)
| 23.416667 | 63 | 0.704626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 111 | 0.395018 |
b4ccff062a09f477b0fda915a3727e153ff816cf | 252 | py | Python | ffs/__init__.py | clbarnes/ffs | bc67692178232d3a77c05cefd1139461cf17882a | [
"MIT"
] | null | null | null | ffs/__init__.py | clbarnes/ffs | bc67692178232d3a77c05cefd1139461cf17882a | [
"MIT"
] | null | null | null | ffs/__init__.py | clbarnes/ffs | bc67692178232d3a77c05cefd1139461cf17882a | [
"MIT"
] | null | null | null | from .classes import Entry, EntryJso
from .spec_version import SPEC_VERSION
from .version import version as __version__ # noqa: F401
from .version import version_tuple as __version_info__ # noqa: F401
__all__ = ["Entry", "EntryJso", "SPEC_VERSION"]
| 36 | 68 | 0.781746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.218254 |
b4cd953c3638b37bbb67c63ed55c3b95b4493e2d | 1,816 | py | Python | src/main/gui/core/functions.py | UntactOrder/UntactOrder.PosServer | c05094fe70fadeeb1ba1a8605606a6002730a699 | [
"MIT"
] | null | null | null | src/main/gui/core/functions.py | UntactOrder/UntactOrder.PosServer | c05094fe70fadeeb1ba1a8605606a6002730a699 | [
"MIT"
] | null | null | null | src/main/gui/core/functions.py | UntactOrder/UntactOrder.PosServer | c05094fe70fadeeb1ba1a8605606a6002730a699 | [
"MIT"
] | null | null | null | # ///////////////////////////////////////////////////////////////
#
# BY: WANDERSON M.PIMENTA
# PROJECT MADE WITH: Qt Designer and PySide6
# V: 1.0.0
#
# This project can be used freely for all uses, as long as they maintain the
# respective credits only in the Python scripts, any information in the visual
# interface ... | 34.264151 | 78 | 0.507709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,159 | 0.638216 |
b4cdd7ecf5ad286a184af28a0d07e8a49f6ad38d | 9,939 | py | Python | DeepJH/agents/actor_critic_agents/explorer.py | microsoft/Dr-Jekyll-and-Mr-Hyde-The-Strange-Case-of-Off-Policy-Policy-Updates | e085b10156787838a342037e6042af00f5262d5a | [
"MIT"
] | 2 | 2021-12-22T18:18:30.000Z | 2022-02-25T17:57:33.000Z | DeepJH/agents/actor_critic_agents/explorer.py | microsoft/Dr-Jekyll-and-Mr-Hyde-The-Strange-Case-of-Off-Policy-Policy-Updates | e085b10156787838a342037e6042af00f5262d5a | [
"MIT"
] | null | null | null | DeepJH/agents/actor_critic_agents/explorer.py | microsoft/Dr-Jekyll-and-Mr-Hyde-The-Strange-Case-of-Off-Policy-Policy-Updates | e085b10156787838a342037e6042af00f5262d5a | [
"MIT"
] | null | null | null | from multiprocessing.dummy import Value
from agents.Base_Agent import Base_Agent
import copy
import numpy as np
import torch
import torch.nn.functional as F
from torch.optim import Adam
class RunningMeanStd(object):
# https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm
def _... | 46.227907 | 130 | 0.642922 | 9,745 | 0.980481 | 0 | 0 | 160 | 0.016098 | 0 | 0 | 549 | 0.055237 |
b4ce4ceb63dbb6f1fc462df7aa6a104fb75ec08a | 6,079 | py | Python | python/nlusvc/spacy/svc/perform_pos_parse.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | python/nlusvc/spacy/svc/perform_pos_parse.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | python/nlusvc/spacy/svc/perform_pos_parse.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import pandas as pd
from pandas import DataFrame
from spacy.lang.en import English
from tabulate import tabulate
from base import BaseObject
class PerformPosParse(BaseObject):
""" Perform POS (Part-of-Speech) Parse with spaCy
Sample Input:
Amoebozoa is... | 51.516949 | 106 | 0.406317 | 5,888 | 0.968262 | 0 | 0 | 0 | 0 | 0 | 0 | 4,870 | 0.800855 |
b4cefef49f2369f3f8e23dfe6b70e513930b24a7 | 2,229 | py | Python | causal_world/intervention_actors/visual_actor.py | michaelfeil/CausalWorld | ff866159ef0ee9c407893ae204e93eb98dd68be2 | [
"MIT"
] | 2 | 2021-09-22T08:20:12.000Z | 2021-11-16T14:20:45.000Z | causal_world/intervention_actors/visual_actor.py | michaelfeil/CausalWorld | ff866159ef0ee9c407893ae204e93eb98dd68be2 | [
"MIT"
] | null | null | null | causal_world/intervention_actors/visual_actor.py | michaelfeil/CausalWorld | ff866159ef0ee9c407893ae204e93eb98dd68be2 | [
"MIT"
] | null | null | null | from causal_world.intervention_actors.base_actor import \
BaseInterventionActorPolicy
import numpy as np
class VisualInterventionActorPolicy(BaseInterventionActorPolicy):
def __init__(self, **kwargs):
"""
This intervention actor intervenes on all visual components of the
robot, (i.e: ... | 35.951613 | 87 | 0.599372 | 2,117 | 0.949753 | 0 | 0 | 0 | 0 | 0 | 0 | 918 | 0.411844 |
b4cf1ec1bfea538a87dc03baa5a20d0eebb02913 | 3,259 | py | Python | app/utils.py | AnthonyBloomer/covid-cli | 733ab3678614368dd0010559bec9cbe5ec460670 | [
"MIT"
] | 3 | 2020-03-31T14:28:21.000Z | 2022-03-15T00:28:26.000Z | app/utils.py | AnthonyBloomer/covid-cli | 733ab3678614368dd0010559bec9cbe5ec460670 | [
"MIT"
] | 2 | 2020-11-01T14:01:53.000Z | 2020-11-02T21:32:08.000Z | app/utils.py | AnthonyBloomer/covid-cli | 733ab3678614368dd0010559bec9cbe5ec460670 | [
"MIT"
] | 2 | 2020-11-01T13:59:50.000Z | 2022-03-15T00:28:29.000Z | import csv
import time
from datetime import datetime
from prettytable import PrettyTable
from .api import countries, country, totals, us_states
def to_csv(data):
fieldnames = set()
for event in data:
fieldnames |= event.keys()
with open("%s.csv" % int(time.time()), "w", newline="") as c:
... | 25.069231 | 83 | 0.438785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 488 | 0.149739 |
b4d1f22a627dce69c863deac50b2db6d2d2229f8 | 2,879 | py | Python | yann/utils/timer.py | michalwols/yann | b3c0f35ec7515ddaeb1f04d365af7b6d136f56cf | [
"MIT"
] | 32 | 2019-04-13T11:03:38.000Z | 2022-01-24T03:00:56.000Z | yann/utils/timer.py | michalwols/yann | b3c0f35ec7515ddaeb1f04d365af7b6d136f56cf | [
"MIT"
] | 13 | 2019-09-29T00:51:24.000Z | 2021-12-12T15:06:00.000Z | yann/utils/timer.py | michalwols/yann | b3c0f35ec7515ddaeb1f04d365af7b6d136f56cf | [
"MIT"
] | 5 | 2020-01-01T10:27:26.000Z | 2021-12-20T18:33:08.000Z | from collections import OrderedDict, defaultdict
from contextlib import contextmanager
from datetime import datetime
import torch.cuda
from ..viz.plot import plot_timeline
def time(name=None, sync=False):
return Task(name=name, sync=sync, log=True)
class Task:
__slots__ = ('name', 'start_time', 'end_time', 'met... | 27.160377 | 102 | 0.661688 | 2,622 | 0.910733 | 0 | 0 | 301 | 0.10455 | 0 | 0 | 384 | 0.13338 |
b4d23f41582bbbee77cde2520e06f0addf9b2c8b | 6,731 | py | Python | conans/client/client_cache.py | jbaruch/conan | 263722b5284828c49774ffe18d314b24ee11e178 | [
"MIT"
] | null | null | null | conans/client/client_cache.py | jbaruch/conan | 263722b5284828c49774ffe18d314b24ee11e178 | [
"MIT"
] | null | null | null | conans/client/client_cache.py | jbaruch/conan | 263722b5284828c49774ffe18d314b24ee11e178 | [
"MIT"
] | 1 | 2021-03-03T17:15:46.000Z | 2021-03-03T17:15:46.000Z | import os
from conans.errors import ConanException
from conans.util.files import save, load, normalize
from conans.model.settings import Settings
from conans.client.conf import ConanClientConfigParser, default_client_conf, default_settings_yml
from conans.model.values import Values
from conans.client.detect import det... | 38.462857 | 97 | 0.655326 | 6,019 | 0.894221 | 0 | 0 | 1,867 | 0.277373 | 0 | 0 | 755 | 0.112168 |