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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
91b5d5a9da8d21cc54215371e88cbf75203f4ad6 | 374 | py | Python | tut2.py | ankit98040/TKINTER-JIS | 8b650138bf8ab2449da83e910ee33c0caee69a8d | [
"Apache-2.0"
] | null | null | null | tut2.py | ankit98040/TKINTER-JIS | 8b650138bf8ab2449da83e910ee33c0caee69a8d | [
"Apache-2.0"
] | null | null | null | tut2.py | ankit98040/TKINTER-JIS | 8b650138bf8ab2449da83e910ee33c0caee69a8d | [
"Apache-2.0"
] | null | null | null | from tkinter import *
from PIL import Image, ImageTk
#python image library
#imagetk supports jpg image
a1 = Tk()
a1.geometry("455x244")
#for png image
#photo = PhotoImage(file="filename.png")
#a2 = Label(image = photo)
#a2.pack()
image = Image.open("PJXlVd.jpg")
photo = ImageTk.PhotoImage(image)
... | 17 | 41 | 0.671123 | 51 | 374 | 4.921569 | 0.509804 | 0.119522 | 0.095618 | 0.135458 | 0.183267 | 0.183267 | 0 | 0 | 0 | 0 | 0 | 0.043046 | 0.192513 | 374 | 22 | 42 | 17 | 0.788079 | 0.352941 | 0 | 0 | 0 | 0 | 0.078704 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91b7b2d421c1a0795b99655b4fa4a8c0503e4114 | 1,056 | py | Python | design_patterns/chapter5/mymath.py | FeliciaMJ/PythonLearningJourney | ae1bfac872ee29256e69df6e0e8e507321404cba | [
"Apache-2.0"
] | null | null | null | design_patterns/chapter5/mymath.py | FeliciaMJ/PythonLearningJourney | ae1bfac872ee29256e69df6e0e8e507321404cba | [
"Apache-2.0"
] | null | null | null | design_patterns/chapter5/mymath.py | FeliciaMJ/PythonLearningJourney | ae1bfac872ee29256e69df6e0e8e507321404cba | [
"Apache-2.0"
] | 2 | 2021-04-04T00:27:29.000Z | 2021-06-05T03:26:53.000Z | # coding: utf-8
import functools
def memoize(fn):
known = dict()
@functools.wraps(fn)
def memoizer(*args):
if args not in known:
known[args] = fn(*args)
return known[args]
return memoizer
@memoize
def nsum(n):
'''返回前n个数字的和'''
assert(n >= 0), 'n must be >= 0'
... | 25.142857 | 75 | 0.507576 | 131 | 1,056 | 3.938931 | 0.358779 | 0.011628 | 0.031008 | 0.034884 | 0.085271 | 0.085271 | 0.085271 | 0.085271 | 0 | 0 | 0 | 0.024523 | 0.304924 | 1,056 | 41 | 76 | 25.756098 | 0.678474 | 0.035985 | 0 | 0.142857 | 0 | 0 | 0.142999 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.142857 | false | 0 | 0.214286 | 0 | 0.5 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91b88e3d926b20d74b8739d087b18e11fc2bf047 | 343 | py | Python | pyhsms/core/connectionstate.py | cherish-web/pyhsms | 83a88b8b45bf1aba30cb7572f44a02478009052b | [
"MIT"
] | 2 | 2021-05-01T12:02:12.000Z | 2021-05-03T14:37:27.000Z | pyhsms/core/connectionstate.py | cherish-web/pyhsms | 83a88b8b45bf1aba30cb7572f44a02478009052b | [
"MIT"
] | null | null | null | pyhsms/core/connectionstate.py | cherish-web/pyhsms | 83a88b8b45bf1aba30cb7572f44a02478009052b | [
"MIT"
] | null | null | null | # _*_ coding: utf-8 _*_
#@Time : 2020/7/29 上午 09:49
#@Author : cherish_peng
#@Email : 1058386071@qq.com
#@File : connectionstate.py
#@Software : PyCharm
from enum import Enum
class ConnectionState(Enum):
'''
ConnectionState enum
'''
DisConnected = 0
Connecting=1
Connected=2
... | 21.4375 | 32 | 0.626822 | 41 | 343 | 5.121951 | 0.878049 | 0.180952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105882 | 0.25656 | 343 | 16 | 33 | 21.4375 | 0.717647 | 0.524781 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91b96455218c552cfb88f8804f7f9440605930b5 | 84,787 | py | Python | lifelines/fitters/coxph_fitter.py | msanpe/lifelines | a73d441f6347332ca870bf2ec32eeeca410dc6de | [
"MIT"
] | null | null | null | lifelines/fitters/coxph_fitter.py | msanpe/lifelines | a73d441f6347332ca870bf2ec32eeeca410dc6de | [
"MIT"
] | null | null | null | lifelines/fitters/coxph_fitter.py | msanpe/lifelines | a73d441f6347332ca870bf2ec32eeeca410dc6de | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
from datetime import datetime
import warnings
from textwrap import dedent, fill
import numpy as np
import pandas as pd
from numpy.linalg import norm, inv
from scipy.linalg import solve as spsolve, LinAlgError
from scipy.integrate import trapz
from scipy import stats
from lifelines.... | 40.374762 | 354 | 0.585868 | 10,644 | 84,787 | 4.496054 | 0.114619 | 0.006018 | 0.001943 | 0.005642 | 0.421556 | 0.36591 | 0.322551 | 0.295909 | 0.265568 | 0.256833 | 0 | 0.015482 | 0.320485 | 84,787 | 2,099 | 355 | 40.393997 | 0.815149 | 0.319188 | 0 | 0.331088 | 0 | 0.005775 | 0.048757 | 0.0005 | 0 | 0 | 0 | 0.001906 | 0.00385 | 1 | 0.042348 | false | 0 | 0.018287 | 0.000962 | 0.106833 | 0.018287 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91ba64e37706ae1e4223523b060a3928b5d8e678 | 393 | py | Python | nlp_server/config/test/test_config.py | asevans48/NLPServer | 6feb1d89748165f9efea40d0777d355044c48176 | [
"Apache-2.0"
] | null | null | null | nlp_server/config/test/test_config.py | asevans48/NLPServer | 6feb1d89748165f9efea40d0777d355044c48176 | [
"Apache-2.0"
] | null | null | null | nlp_server/config/test/test_config.py | asevans48/NLPServer | 6feb1d89748165f9efea40d0777d355044c48176 | [
"Apache-2.0"
] | null | null | null | """
Test configuration loading
@author aevans
"""
import os
from nlp_server.config import load_config
def test_load_config():
"""
Test loading a configuration
"""
current_dir = os.path.curdir
test_path = os.path.sep.join([current_dir, 'data', 'test_config.json'])
cfg = load_config.load_conf... | 18.714286 | 75 | 0.699746 | 57 | 393 | 4.614035 | 0.526316 | 0.152091 | 0.106464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198473 | 393 | 20 | 76 | 19.65 | 0.834921 | 0.180662 | 0 | 0 | 0 | 0 | 0.06689 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91bc729480a0e69ec82630c25580e01aa1aa5937 | 4,469 | py | Python | frappe/utils/safe_exec.py | ektai/frappe3 | 44aa948b4d5a0d729eacfb3dabdc9c8894ae1799 | [
"MIT"
] | null | null | null | frappe/utils/safe_exec.py | ektai/frappe3 | 44aa948b4d5a0d729eacfb3dabdc9c8894ae1799 | [
"MIT"
] | null | null | null | frappe/utils/safe_exec.py | ektai/frappe3 | 44aa948b4d5a0d729eacfb3dabdc9c8894ae1799 | [
"MIT"
] | null | null | null |
import os, json, inspect
import mimetypes
from html2text import html2text
from RestrictedPython import compile_restricted, safe_globals
import RestrictedPython.Guards
import frappe
import frappe.utils
import frappe.utils.data
from frappe.website.utils import (get_shade, get_toc, get_next_link)
from frappe.modules impo... | 29.401316 | 118 | 0.762587 | 634 | 4,469 | 5.11041 | 0.291798 | 0.033951 | 0.033333 | 0.016667 | 0.129321 | 0.046914 | 0.046914 | 0.025309 | 0.025309 | 0.025309 | 0 | 0.002075 | 0.137167 | 4,469 | 152 | 119 | 29.401316 | 0.838174 | 0.101141 | 0 | 0.095652 | 0 | 0 | 0.046965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.008696 | 0.104348 | 0.008696 | 0.182609 | 0.026087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91bccefcfa09a20e9fc27c2975179329c5876dd6 | 2,461 | py | Python | simplejson/ordered_dict.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | simplejson/ordered_dict.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | simplejson/ordered_dict.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | """Drop-in replacement for collections.OrderedDict by Raymond Hettinger
http://code.activestate.com/recipes/576693/
"""
try:
all
except NameError:
def all(seq):
for elem in seq:
if not elem:
return False
return True
class OrderedDict(dict, DictMixin):
def __init__(self, *args, **kwds):
if len(args) > 1:... | 26.180851 | 94 | 0.670053 | 363 | 2,461 | 4.247934 | 0.280992 | 0.049935 | 0.021401 | 0.027237 | 0.123865 | 0.123865 | 0.07393 | 0.045396 | 0.045396 | 0.045396 | 0 | 0.009548 | 0.191386 | 2,461 | 94 | 95 | 26.180851 | 0.765327 | 0.04551 | 0 | 0.142857 | 0 | 0 | 0.027742 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.164835 | false | 0 | 0 | 0.032967 | 0.406593 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91be89ca5480384018cb3e20d95ea9abdcb4c1bb | 4,136 | py | Python | baselines/bc.py | bgalbraith/minerl-haiku-baselines | c33b14699af14c904394d9c4e30dee680a8718d6 | [
"Apache-2.0"
] | 2 | 2020-07-11T07:56:46.000Z | 2020-08-20T07:59:53.000Z | baselines/bc.py | bgalbraith/minerl-haiku-baselines | c33b14699af14c904394d9c4e30dee680a8718d6 | [
"Apache-2.0"
] | null | null | null | baselines/bc.py | bgalbraith/minerl-haiku-baselines | c33b14699af14c904394d9c4e30dee680a8718d6 | [
"Apache-2.0"
] | null | null | null | import dill
import haiku as hk
import jax
from jax.experimental import optix
import jax.numpy as jnp
from dataset import load_data
MINERL_ENV = 'MineRLTreechopVectorObf-v0'
PARAMS_FILENAME = 'bc_params_treechop.pkl'
class PovStack(hk.Module):
""" PovStack is a module for processing the point-of-view image data... | 30.411765 | 105 | 0.579787 | 549 | 4,136 | 4.1949 | 0.306011 | 0.024316 | 0.023448 | 0.028658 | 0.261832 | 0.240122 | 0.208424 | 0.156318 | 0.156318 | 0.125054 | 0 | 0.032247 | 0.310203 | 4,136 | 135 | 106 | 30.637037 | 0.774974 | 0.173114 | 0 | 0.306818 | 0 | 0 | 0.036782 | 0.014354 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.068182 | 0 | 0.284091 | 0.011364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91c49a7dc1b6f619c4919335c93fb67b97477b88 | 7,917 | py | Python | decatt/model.py | achyudh/castor | d7a02ce03f2b71ef1fa490122dd4bbc8214b8b19 | [
"Apache-2.0"
] | 132 | 2017-04-02T12:31:55.000Z | 2019-03-09T07:53:29.000Z | decatt/model.py | sudipta90/castor | fa2f59535c71a0fb4586afbe543b81ba812c8630 | [
"Apache-2.0"
] | 111 | 2017-04-01T23:00:24.000Z | 2019-03-10T08:29:20.000Z | decatt/model.py | sudipta90/castor | fa2f59535c71a0fb4586afbe543b81ba812c8630 | [
"Apache-2.0"
] | 53 | 2017-04-06T01:17:18.000Z | 2019-02-27T03:10:35.000Z | import sys
import math
import numpy as np
from datetime import datetime
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
class DecAtt(nn.Module):
def __init__(self, num_units, num_classes, embedding_size, dropout, device=0,
training=True, p... | 46.298246 | 136 | 0.653909 | 1,057 | 7,917 | 4.661306 | 0.177862 | 0.047087 | 0.073067 | 0.029227 | 0.310331 | 0.275624 | 0.244368 | 0.236858 | 0.168865 | 0.151411 | 0 | 0.024464 | 0.246179 | 7,917 | 170 | 137 | 46.570588 | 0.801106 | 0.240369 | 0 | 0.038462 | 0 | 0 | 0.001395 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.221154 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91c545eedebfe63072291f5498dba2aca85beda1 | 8,738 | py | Python | basic_code/networks.py | J-asy/Emotion-FAN | 30c1e24a31b2a05c0810a17eb533096a7baaeeef | [
"MIT"
] | 275 | 2019-09-11T10:22:06.000Z | 2022-03-29T07:14:31.000Z | basic_code/networks.py | J-asy/Emotion-FAN | 30c1e24a31b2a05c0810a17eb533096a7baaeeef | [
"MIT"
] | 34 | 2019-09-11T11:32:32.000Z | 2022-03-18T09:32:42.000Z | basic_code/networks.py | J-asy/Emotion-FAN | 30c1e24a31b2a05c0810a17eb533096a7baaeeef | [
"MIT"
] | 69 | 2019-09-18T19:00:17.000Z | 2022-03-08T11:43:49.000Z | import torch.nn as nn
import math
import torch.utils.model_zoo as model_zoo
import torch.nn.functional as F
import torch
import numpy as np
import cv2
import pdb
def sigmoid(x):
return 1 / (1 + math.exp(-x))
def norm_angle(angle):
norm_angle = sigmoid(10 * (abs(angle) / 0.7853975 - 1))
return norm_angle
... | 34.674603 | 120 | 0.54509 | 1,097 | 8,738 | 4.213309 | 0.160438 | 0.008222 | 0.019472 | 0.018174 | 0.412592 | 0.345738 | 0.250108 | 0.236694 | 0.216357 | 0.206188 | 0 | 0.051977 | 0.32845 | 8,738 | 251 | 121 | 34.812749 | 0.735685 | 0.041314 | 0 | 0.361702 | 0 | 0 | 0.027492 | 0.008357 | 0 | 0 | 0 | 0 | 0.015957 | 1 | 0.058511 | false | 0 | 0.042553 | 0.005319 | 0.18617 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91c7cf66ad6751a13ba5162d5a7e62b526efecd6 | 2,693 | py | Python | project/scripts/clausecat/evaluate_clausecat.py | explosion/healthsea | 4481488ed9fc85b89844ee872d0a8412a33f0b15 | [
"MIT"
] | 60 | 2021-12-15T17:14:37.000Z | 2022-03-26T18:25:15.000Z | project/scripts/clausecat/evaluate_clausecat.py | zhinoos-adibi/healthsea | 4481488ed9fc85b89844ee872d0a8412a33f0b15 | [
"MIT"
] | 3 | 2021-12-16T19:50:15.000Z | 2022-03-28T06:10:48.000Z | project/scripts/clausecat/evaluate_clausecat.py | zhinoos-adibi/healthsea | 4481488ed9fc85b89844ee872d0a8412a33f0b15 | [
"MIT"
] | 9 | 2021-12-15T21:00:05.000Z | 2022-03-17T09:20:51.000Z | import spacy
from spacy.scorer import PRFScore
import typer
from pathlib import Path
from wasabi import Printer, table
import operator
import benepar
import clausecat_component
import clausecat_model
import clausecat_reader
import clause_segmentation
import clause_aggregation
msg = Printer()
def main(model_path: Pa... | 26.93 | 88 | 0.580394 | 282 | 2,693 | 5.375887 | 0.333333 | 0.065303 | 0.031662 | 0.041557 | 0.088391 | 0.064644 | 0.064644 | 0.064644 | 0.064644 | 0.064644 | 0 | 0.012068 | 0.32306 | 2,693 | 99 | 89 | 27.20202 | 0.819528 | 0.049016 | 0 | 0.027397 | 0 | 0 | 0.035658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013699 | false | 0 | 0.164384 | 0 | 0.178082 | 0.013699 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91c97df0fae07bca6b5ed203a6e4102faddf3f12 | 4,534 | py | Python | keras_cv_attention_models/resnest/resnest.py | dcleres/keras_cv_attention_models | 264876673e369f23eff49b3b589b72f908a9625b | [
"MIT"
] | 140 | 2021-08-04T06:51:41.000Z | 2022-03-30T08:08:32.000Z | keras_cv_attention_models/resnest/resnest.py | dcleres/keras_cv_attention_models | 264876673e369f23eff49b3b589b72f908a9625b | [
"MIT"
] | 12 | 2021-09-29T00:43:58.000Z | 2022-03-28T07:50:35.000Z | keras_cv_attention_models/resnest/resnest.py | dcleres/keras_cv_attention_models | 264876673e369f23eff49b3b589b72f908a9625b | [
"MIT"
] | 20 | 2021-09-28T20:07:35.000Z | 2022-03-31T14:06:40.000Z | import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import backend as K
from keras_cv_attention_models.aotnet import AotNet
from keras_cv_attention_models.download_and_load import reload_model_weights
from keras_cv_attention_models.attention_layers import batchnorm_with_activation, conv2d_no_bias... | 50.377778 | 155 | 0.696074 | 612 | 4,534 | 4.980392 | 0.238562 | 0.023622 | 0.03248 | 0.044291 | 0.32185 | 0.250328 | 0.194882 | 0.177822 | 0.177822 | 0.145013 | 0 | 0.065789 | 0.161888 | 4,534 | 89 | 156 | 50.94382 | 0.736316 | 0.045214 | 0 | 0.089552 | 0 | 0 | 0.095491 | 0.029595 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104478 | false | 0 | 0.089552 | 0.059701 | 0.298507 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91cb094ac7602563246a111f9c1326b917365ed1 | 10,652 | py | Python | cluster.py | Birfy/Endlinking | cc87a5528498e1733111d302437aeb1142b0a47f | [
"MIT"
] | 1 | 2020-02-20T03:46:10.000Z | 2020-02-20T03:46:10.000Z | cluster.py | Birfy/Endlinking | cc87a5528498e1733111d302437aeb1142b0a47f | [
"MIT"
] | null | null | null | cluster.py | Birfy/Endlinking | cc87a5528498e1733111d302437aeb1142b0a47f | [
"MIT"
] | null | null | null | import numpy as np
import random
import sys
chainlength = int(sys.argv[1])
dfname = sys.argv[2]
outfl = 'result.data'
cluster_size = int(sys.argv[3])
def readsize(dfname):
with open(dfname, 'r') as df:
lines = df.readlines()
for line in lines:
content = line.split()
if content and cont... | 36.986111 | 135 | 0.557548 | 1,438 | 10,652 | 4.107789 | 0.161335 | 0.006602 | 0.012189 | 0.014898 | 0.268834 | 0.205857 | 0.175047 | 0.156255 | 0.123074 | 0.118165 | 0 | 0.014646 | 0.314119 | 10,652 | 287 | 136 | 37.114983 | 0.793868 | 0.279666 | 0 | 0.25 | 0 | 0 | 0.029062 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.015625 | 0 | 0.140625 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91cc3e617eabbbaa426a11dc2dc6c376ad5cab95 | 740 | py | Python | ituro/accounts/tests.py | kayduemre/ituro | eb5bb0655c2d85eed212d28c1d154006c57a4f03 | [
"MIT"
] | 9 | 2015-03-18T01:59:24.000Z | 2022-03-09T06:36:21.000Z | ituro/accounts/tests.py | kayduemre/ituro | eb5bb0655c2d85eed212d28c1d154006c57a4f03 | [
"MIT"
] | 29 | 2015-03-18T01:59:49.000Z | 2021-06-10T20:39:03.000Z | ituro/accounts/tests.py | kayduemre/ituro | eb5bb0655c2d85eed212d28c1d154006c57a4f03 | [
"MIT"
] | 10 | 2016-01-31T05:44:46.000Z | 2019-10-15T06:12:27.000Z | from django.test import TestCase
from django.utils import timezone
from accounts.models import CustomUser, CustomUserManager
class UserCreateTestCase(TestCase):
def test_create_user_correctly(self):
"Creating users correctly"
new_user = CustomUser.objects.create(
email="participant@gm... | 33.636364 | 71 | 0.671622 | 79 | 740 | 6.113924 | 0.582278 | 0.057971 | 0.118012 | 0.091097 | 0.10352 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019366 | 0.232432 | 740 | 21 | 72 | 35.238095 | 0.830986 | 0.032432 | 0 | 0 | 0 | 0 | 0.172973 | 0.028378 | 0 | 0 | 0 | 0 | 0.176471 | 1 | 0.058824 | false | 0 | 0.176471 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91ce005123b48bec43dd6a96411c6f2b6ba102be | 2,284 | py | Python | continuum/datasets/dtd.py | oleksost/continuum | 682d66540bfbfa171ac73281ed2989f9338e88bf | [
"MIT"
] | 282 | 2020-05-09T21:35:22.000Z | 2022-03-20T11:29:41.000Z | continuum/datasets/dtd.py | oleksost/continuum | 682d66540bfbfa171ac73281ed2989f9338e88bf | [
"MIT"
] | 180 | 2020-05-03T09:31:48.000Z | 2022-03-30T12:12:48.000Z | continuum/datasets/dtd.py | oleksost/continuum | 682d66540bfbfa171ac73281ed2989f9338e88bf | [
"MIT"
] | 34 | 2020-06-13T14:09:29.000Z | 2022-03-14T14:05:07.000Z | import os
from typing import List
import numpy as np
from torchvision import datasets as torchdata
from continuum.datasets import ImageFolderDataset
from continuum import download
from continuum.tasks import TaskType
class DTD(ImageFolderDataset):
"""Describable Textures Dataset (DTD)
Reference:
* ... | 35.6875 | 108 | 0.595009 | 302 | 2,284 | 4.377483 | 0.377483 | 0.066566 | 0.081694 | 0.07413 | 0.21407 | 0.188351 | 0.172466 | 0.134644 | 0.087746 | 0.06354 | 0 | 0.010284 | 0.27627 | 2,284 | 63 | 109 | 36.253968 | 0.789474 | 0.077933 | 0 | 0.045455 | 0 | 0.022727 | 0.145813 | 0.036092 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068182 | false | 0 | 0.159091 | 0 | 0.295455 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d00c668e9c3c29e1e078f088b136cfebc103ca | 1,727 | py | Python | intro.py | Ebenazer-2002/library-management | 8c1ededc7167d2221a3947abfeec4773da39dca9 | [
"Apache-2.0"
] | null | null | null | intro.py | Ebenazer-2002/library-management | 8c1ededc7167d2221a3947abfeec4773da39dca9 | [
"Apache-2.0"
] | null | null | null | intro.py | Ebenazer-2002/library-management | 8c1ededc7167d2221a3947abfeec4773da39dca9 | [
"Apache-2.0"
] | 1 | 2021-09-22T22:08:15.000Z | 2021-09-22T22:08:15.000Z | #Intro Page
from tkinter import *
from PIL import Image, ImageTk
import cv2
#----------------------------Start Function--------------------------#
def start(event):
label1.destroy()
import log
win.destroy()
log.main()
#------------------------Main Window---------------------------------#li
def main_... | 28.311475 | 72 | 0.466126 | 179 | 1,727 | 4.47486 | 0.486034 | 0.037453 | 0.037453 | 0.034956 | 0.037453 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031907 | 0.255935 | 1,727 | 60 | 73 | 28.783333 | 0.59144 | 0.246091 | 0 | 0.095238 | 0 | 0 | 0.085271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.095238 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d02ed15b88e5d9e5da4c1c6b0a923344ec181d | 16,740 | py | Python | notebooks/week4_help.py | hugh9876/04-multivariate-analysis | 0541962842df8844aa323c368f8a4e44999c2d7f | [
"MIT"
] | null | null | null | notebooks/week4_help.py | hugh9876/04-multivariate-analysis | 0541962842df8844aa323c368f8a4e44999c2d7f | [
"MIT"
] | null | null | null | notebooks/week4_help.py | hugh9876/04-multivariate-analysis | 0541962842df8844aa323c368f8a4e44999c2d7f | [
"MIT"
] | null | null | null | """
This module provides helper functions to support exercises during AM1
with outliers, robust regression and template regression in the CORE
data analytics workshop series, week 4.
"""
import numpy as np
import pandas as pd
import math
from collections import namedtuple
def recovery_sulphur_dataframe_wit... | 41.435644 | 97 | 0.683871 | 2,165 | 16,740 | 5.130254 | 0.196305 | 0.007653 | 0.041325 | 0.023949 | 0.198974 | 0.125777 | 0.061223 | 0.031242 | 0.007743 | 0 | 0 | 0.020416 | 0.245102 | 16,740 | 403 | 98 | 41.538462 | 0.858511 | 0.445938 | 0 | 0.070588 | 0 | 0 | 0.020801 | 0.002645 | 0 | 0 | 0 | 0 | 0.017647 | 1 | 0.158824 | false | 0 | 0.023529 | 0.005882 | 0.341176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d0d1d94cdf45c4bcbd44fd68f0bba0ecae92c7 | 2,671 | py | Python | tests/actions/test_mutable_token_action.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 32 | 2022-01-12T16:52:28.000Z | 2022-03-24T18:05:47.000Z | tests/actions/test_mutable_token_action.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 3 | 2022-01-12T17:01:55.000Z | 2022-02-12T15:14:16.000Z | tests/actions/test_mutable_token_action.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 1 | 2022-01-21T04:28:07.000Z | 2022-01-21T04:28:07.000Z | from radixlib.actions import CreateTokenDefinition
from typing import Dict, Any
import unittest
class TestMutableTokenAction(unittest.TestCase):
""" Unit tests for the CreateTokenDefinition action of mutable tokens """
ActionDict: Dict[str, Any] = {
"token_properties": {
"name": "MutableTe... | 47.696429 | 110 | 0.675028 | 260 | 2,671 | 6.803846 | 0.3 | 0.102883 | 0.143019 | 0.131148 | 0.131148 | 0.072357 | 0 | 0 | 0 | 0 | 0 | 0.017005 | 0.207413 | 2,671 | 56 | 111 | 47.696429 | 0.818611 | 0.137027 | 0 | 0 | 0 | 0 | 0.275274 | 0.064333 | 0 | 0 | 0 | 0 | 0.292683 | 1 | 0.04878 | false | 0 | 0.073171 | 0 | 0.170732 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d380ce2b1e14c5b063e9056626bb2c1ea92f55 | 6,869 | py | Python | src/python/pants/backend/native/subsystems/xcode_cli_tools.py | StephanErb/pants | a368267b6b4cf50138ba567f582409ed31bf5db9 | [
"Apache-2.0"
] | null | null | null | src/python/pants/backend/native/subsystems/xcode_cli_tools.py | StephanErb/pants | a368267b6b4cf50138ba567f582409ed31bf5db9 | [
"Apache-2.0"
] | null | null | null | src/python/pants/backend/native/subsystems/xcode_cli_tools.py | StephanErb/pants | a368267b6b4cf50138ba567f582409ed31bf5db9 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import absolute_import, division, print_function, unicode_literals
import os
from pants.backend.native.config.environment import Assembler, CCompiler, CppC... | 34.345 | 105 | 0.7084 | 915 | 6,869 | 5.103825 | 0.300546 | 0.023983 | 0.038972 | 0.013705 | 0.208137 | 0.165096 | 0.137259 | 0.094004 | 0.094004 | 0.062741 | 0 | 0.002553 | 0.201776 | 6,869 | 199 | 106 | 34.517588 | 0.84917 | 0.174989 | 0 | 0.137681 | 0 | 0.014493 | 0.217584 | 0.068028 | 0 | 0 | 0 | 0.005025 | 0 | 1 | 0.108696 | false | 0 | 0.057971 | 0.086957 | 0.311594 | 0.014493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d43878e8db19b2ac8a4228dcc70b222e3033cf | 11,998 | py | Python | improver_tests/regrid/test_RegridWithLandSeaMask.py | yzhaobom/improver | 47f9e103c63f890bfbb24d5e08d9d01d041514f7 | [
"BSD-3-Clause"
] | 77 | 2017-04-26T07:47:40.000Z | 2022-03-31T09:40:49.000Z | improver_tests/regrid/test_RegridWithLandSeaMask.py | yzhaobom/improver | 47f9e103c63f890bfbb24d5e08d9d01d041514f7 | [
"BSD-3-Clause"
] | 1,440 | 2017-03-29T10:04:15.000Z | 2022-03-28T10:11:29.000Z | improver_tests/regrid/test_RegridWithLandSeaMask.py | MoseleyS/improver | ca028e3a1c842e3ff00b188c8ea6eaedd0a07149 | [
"BSD-3-Clause"
] | 72 | 2017-03-17T16:53:45.000Z | 2022-02-16T09:41:37.000Z | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown Copyright 2017-2021 Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions a... | 35.602374 | 86 | 0.596516 | 1,892 | 11,998 | 3.593552 | 0.156977 | 0.038829 | 0.038829 | 0.024857 | 0.589646 | 0.553905 | 0.53449 | 0.520959 | 0.511252 | 0.484042 | 0 | 0.123426 | 0.272045 | 11,998 | 336 | 87 | 35.708333 | 0.655026 | 0.236039 | 0 | 0.425439 | 0 | 0 | 0.02382 | 0 | 0 | 0 | 0 | 0 | 0.030702 | 1 | 0.035088 | false | 0 | 0.02193 | 0 | 0.070175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d54e85fa9e683a691056ba3de4c8a49958c847 | 3,723 | py | Python | test/test_workflow.py | asnramos/asv | 8a0979b532d06c7c352826e2acf0dd872922260e | [
"BSD-3-Clause"
] | null | null | null | test/test_workflow.py | asnramos/asv | 8a0979b532d06c7c352826e2acf0dd872922260e | [
"BSD-3-Clause"
] | null | null | null | test/test_workflow.py | asnramos/asv | 8a0979b532d06c7c352826e2acf0dd872922260e | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import glob
import os
import sys
import json
from os.path import join, isfile
import pytest
from asv import util
from . import tools
def test_run_publish(capfd, basic_conf_2):
tmpdir, local, conf, machine_file = basic_conf_2
tmpdir = util.lon... | 39.189474 | 85 | 0.552243 | 434 | 3,723 | 4.573733 | 0.331797 | 0.050378 | 0.033249 | 0.04534 | 0.349622 | 0.244836 | 0.184383 | 0.105793 | 0.062469 | 0.062469 | 0 | 0.018772 | 0.313188 | 3,723 | 94 | 86 | 39.606383 | 0.757528 | 0.076551 | 0 | 0.183099 | 0 | 0 | 0.229738 | 0.073469 | 0 | 0 | 0 | 0 | 0.239437 | 1 | 0.014085 | false | 0 | 0.112676 | 0 | 0.126761 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d673a77f43b00da4523b7edc231f25e64c3f72 | 5,750 | py | Python | trainer.py | Metro1998/P-DQN | 6ab2ac6991d2685f10887c16f854ebba6144b306 | [
"MIT"
] | 5 | 2021-12-13T15:25:07.000Z | 2022-03-29T12:42:37.000Z | trainer.py | Metro1998/P-DQN | 6ab2ac6991d2685f10887c16f854ebba6144b306 | [
"MIT"
] | null | null | null | trainer.py | Metro1998/P-DQN | 6ab2ac6991d2685f10887c16f854ebba6144b306 | [
"MIT"
] | null | null | null | # @author Metro
# @time 2021/11/24
import os.path
import gym
from agents.pdqn import P_DQN
from utilities.memory import ReplayBuffer
from utilities.utilities import *
from utilities.route_generator import generate_routefile
class Train_and_Evaluate(object):
def __init__(self, config):
# Environment
... | 42.592593 | 113 | 0.598609 | 677 | 5,750 | 4.70901 | 0.200886 | 0.033877 | 0.056462 | 0.037641 | 0.266939 | 0.140841 | 0.120138 | 0.105082 | 0.039523 | 0.02133 | 0 | 0.007918 | 0.31913 | 5,750 | 134 | 114 | 42.910448 | 0.806386 | 0.01513 | 0 | 0.021277 | 0 | 0 | 0.042791 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0 | 0.06383 | 0 | 0.095745 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91d9d1d9ae07a637595f6f1be3521d0ea393c068 | 1,468 | py | Python | algorithms/maths/chinese_remainder_theorem.py | hbqdev/algorithms | 65cc8551d86d7e065069d165dd8bf9baf10345a0 | [
"MIT"
] | 22,426 | 2017-01-17T04:01:44.000Z | 2022-03-31T12:06:16.000Z | algorithms/maths/chinese_remainder_theorem.py | Shubhanshu156/algorithms | d8f1428cee7f66376929f72c524b6e0325bf3492 | [
"MIT"
] | 523 | 2017-04-18T12:05:11.000Z | 2022-03-20T11:10:41.000Z | algorithms/maths/chinese_remainder_theorem.py | AmandaStromdahl/algorithms | 1652835c3aef9aa670b67a5459e51dd3a8e6a71c | [
"MIT"
] | 4,900 | 2017-01-19T23:47:05.000Z | 2022-03-31T10:00:47.000Z | from algorithms.maths.gcd import gcd
from typing import List
def solve_chinese_remainder(num : List[int], rem : List[int]):
"""
Computes the smallest x that satisfies the chinese remainder theorem
for a system of equations.
The system of equations has the form:
x % num[0] = rem[0]
x % num[1] = ... | 31.234043 | 84 | 0.559264 | 228 | 1,468 | 3.574561 | 0.350877 | 0.030675 | 0.062577 | 0.041718 | 0.058896 | 0.058896 | 0.058896 | 0 | 0 | 0 | 0 | 0.015707 | 0.349455 | 1,468 | 46 | 85 | 31.913043 | 0.837696 | 0.284741 | 0 | 0 | 0 | 0 | 0.167335 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91dad0ab0f33fc6693bf8cc4e9a065c0be985607 | 19,086 | py | Python | apphelper/image.py | caiyueliang/chineseocr | 4495598f938936c6bcb2222fa44f840a7919212c | [
"MIT"
] | null | null | null | apphelper/image.py | caiyueliang/chineseocr | 4495598f938936c6bcb2222fa44f840a7919212c | [
"MIT"
] | null | null | null | apphelper/image.py | caiyueliang/chineseocr | 4495598f938936c6bcb2222fa44f840a7919212c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
##图像相关函数
@author: lywen
"""
import sys
import six
import os
import base64
import requests
import numpy as np
import cv2
from PIL import Image
import traceback
import uuid
from glob import glob
from bs4 import BeautifulSoup
def sort_box_(box):
x1,y1,x2,y2,x3,y3,x4,y4 = box[:8]
pts =... | 29.40832 | 113 | 0.515561 | 3,071 | 19,086 | 3.132204 | 0.112341 | 0.017465 | 0.020584 | 0.027446 | 0.450463 | 0.429566 | 0.404616 | 0.376027 | 0.363967 | 0.339952 | 0 | 0.074795 | 0.297391 | 19,086 | 649 | 114 | 29.40832 | 0.642506 | 0.155035 | 0 | 0.257732 | 0 | 0 | 0.016641 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069588 | false | 0 | 0.046392 | 0 | 0.185567 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91dbd76ebb4a6ee074d9e41d9b7337c54be487ec | 1,748 | py | Python | data_structure/stack_and_queue/494. Target Sum_ Medium.py | JunzhongLin/leetcode_practice | 47b2f5cc3c87de004ae21a94024e751b40b8f559 | [
"MIT"
] | null | null | null | data_structure/stack_and_queue/494. Target Sum_ Medium.py | JunzhongLin/leetcode_practice | 47b2f5cc3c87de004ae21a94024e751b40b8f559 | [
"MIT"
] | null | null | null | data_structure/stack_and_queue/494. Target Sum_ Medium.py | JunzhongLin/leetcode_practice | 47b2f5cc3c87de004ae21a94024e751b40b8f559 | [
"MIT"
] | null | null | null | '''
You are given an integer array nums and an integer target.
You want to build an expression out of nums by adding one of the symbols '+' and '-' before each integer in nums and then concatenate all the integers.
For example, if nums = [2, 1], you can add a '+' before 2 and a '-' before 1 and concatenate them to bu... | 34.96 | 151 | 0.529748 | 223 | 1,748 | 4.085202 | 0.340807 | 0.076839 | 0.065862 | 0.070252 | 0.193194 | 0.140505 | 0.140505 | 0.140505 | 0.140505 | 0.076839 | 0 | 0.034234 | 0.364989 | 1,748 | 50 | 152 | 34.96 | 0.786486 | 0.276316 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.035714 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91dd1a3b5de5801e9e8baf1d02a035b6853b1ad3 | 3,733 | py | Python | fixtrack/frontend/pickable_markers.py | os-gabe/fixtrack | a0af4dfa9342acc0ba05c0249a32806c825b74b2 | [
"MIT"
] | null | null | null | fixtrack/frontend/pickable_markers.py | os-gabe/fixtrack | a0af4dfa9342acc0ba05c0249a32806c825b74b2 | [
"MIT"
] | null | null | null | fixtrack/frontend/pickable_markers.py | os-gabe/fixtrack | a0af4dfa9342acc0ba05c0249a32806c825b74b2 | [
"MIT"
] | 1 | 2022-03-25T04:26:36.000Z | 2022-03-25T04:26:36.000Z | import numpy as np
from fixtrack.frontend.pickable_base import PickableBase
from vispy import scene
class PickableMarkers(PickableBase):
"""
Markers that can highlight on hover and be selected
"""
class State(PickableBase.State):
def __init__(self, **kwargs):
super(PickableMarker... | 33.936364 | 94 | 0.587731 | 462 | 3,733 | 4.450216 | 0.203463 | 0.091926 | 0.047665 | 0.034047 | 0.291342 | 0.197471 | 0.177043 | 0.154669 | 0.120623 | 0.058366 | 0 | 0.013303 | 0.295205 | 3,733 | 109 | 95 | 34.247706 | 0.768149 | 0.013662 | 0 | 0.213483 | 0 | 0 | 0.015821 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134831 | false | 0 | 0.033708 | 0.011236 | 0.235955 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91dedad5ac38b05af586adadc029baeb5dbdb36c | 2,242 | py | Python | examples/blocking_subscribe.py | FFY00/jeepney | 293241a54fbb73581755e97191720ed1603aed34 | [
"MIT"
] | null | null | null | examples/blocking_subscribe.py | FFY00/jeepney | 293241a54fbb73581755e97191720ed1603aed34 | [
"MIT"
] | null | null | null | examples/blocking_subscribe.py | FFY00/jeepney | 293241a54fbb73581755e97191720ed1603aed34 | [
"MIT"
] | null | null | null | """
Example of subscribing to a D-Bus signal using blocking I/O.
This subscribes to the signal for a desktop notification being closed.
To try it, start this script, then trigger a desktop notification, and close it
somehow to trigger the signal. Use Ctrl-C to stop the script.
This example relies on the ``org.freedes... | 34.492308 | 88 | 0.752007 | 298 | 2,242 | 5.583893 | 0.459732 | 0.033654 | 0.064904 | 0.033654 | 0.055288 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002101 | 0.150758 | 2,242 | 64 | 89 | 35.03125 | 0.871849 | 0.460303 | 0 | 0.121212 | 0 | 0 | 0.17938 | 0.073764 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0.030303 | 0.090909 | 0 | 0.121212 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91e1834b8771a7ae37346ead4e29d9b3101da09b | 917 | py | Python | setup.py | Kuba77/Xian-DB | 2f15ef1b9b7a96c21bd46e9fb8481de6feb713b7 | [
"MIT"
] | 1 | 2016-10-22T21:04:09.000Z | 2016-10-22T21:04:09.000Z | setup.py | Kuba77/Xian-DB | 2f15ef1b9b7a96c21bd46e9fb8481de6feb713b7 | [
"MIT"
] | null | null | null | setup.py | Kuba77/Xian-DB | 2f15ef1b9b7a96c21bd46e9fb8481de6feb713b7 | [
"MIT"
] | null | null | null | from setuptools import setup
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='xiandb',
version='0.2.0',
description='A database model for Xian',
long_d... | 21.325581 | 64 | 0.641221 | 106 | 917 | 5.45283 | 0.698113 | 0.077855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012465 | 0.21265 | 917 | 42 | 65 | 21.833333 | 0.788089 | 0 | 0 | 0 | 0 | 0 | 0.393675 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91e197a6aad024d05c47c68f4923bef335ff491f | 4,993 | py | Python | yolo3/focal_loss.py | ashishpatel26/tf2-yolo3 | 38814178643eb8e1f8b5e4fe8d448faed44ad574 | [
"Apache-2.0"
] | 43 | 2019-12-08T15:05:53.000Z | 2022-03-20T13:38:07.000Z | yolo3/focal_loss.py | 1911590204/tf2-yolo3 | 38814178643eb8e1f8b5e4fe8d448faed44ad574 | [
"Apache-2.0"
] | 3 | 2020-05-18T11:20:15.000Z | 2021-02-26T01:11:04.000Z | yolo3/focal_loss.py | 1911590204/tf2-yolo3 | 38814178643eb8e1f8b5e4fe8d448faed44ad574 | [
"Apache-2.0"
] | 15 | 2019-12-25T01:44:29.000Z | 2022-01-18T08:45:49.000Z | from functools import partial
import tensorflow as tf
_EPSILON = tf.keras.backend.epsilon()
def register_keras_custom_object(cls):
tf.keras.utils.get_custom_objects()[cls.__name__] = cls
return cls
def binary_focal_loss(y_true, y_pred, gamma, *, pos_weight=None, from_logits=False, label_smoothing=None):
... | 36.985185 | 106 | 0.616263 | 631 | 4,993 | 4.59271 | 0.183835 | 0.115942 | 0.038647 | 0.048309 | 0.360594 | 0.304693 | 0.204969 | 0.184955 | 0.184955 | 0.184955 | 0 | 0.003441 | 0.301622 | 4,993 | 135 | 107 | 36.985185 | 0.827646 | 0.070298 | 0 | 0.216495 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082474 | false | 0 | 0.020619 | 0.010309 | 0.206186 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91e197bc72174a007b45ebf73223d69beb79eca0 | 13,808 | py | Python | characters/models/characters.py | Sult/evetool | 155db9f3b0ecc273fe3c75daf8f9c6f37cb3e47f | [
"MIT"
] | null | null | null | characters/models/characters.py | Sult/evetool | 155db9f3b0ecc273fe3c75daf8f9c6f37cb3e47f | [
"MIT"
] | null | null | null | characters/models/characters.py | Sult/evetool | 155db9f3b0ecc273fe3c75daf8f9c6f37cb3e47f | [
"MIT"
] | null | null | null | import time
from collections import OrderedDict
from datetime import datetime, timedelta
from django.db import models
from django.conf import settings
from django.utils.timezone import utc
from .skills import Skill, SkillGroup
from metrics.models import Corporation
from tasks.models import EveApiCache, Task
from evet... | 33.596107 | 79 | 0.571915 | 1,308 | 13,808 | 5.930428 | 0.212538 | 0.029006 | 0.013923 | 0.019337 | 0.284388 | 0.223153 | 0.1926 | 0.178935 | 0.148769 | 0.137166 | 0 | 0.014466 | 0.339151 | 13,808 | 410 | 80 | 33.678049 | 0.835616 | 0.069308 | 0 | 0.253086 | 0 | 0 | 0.042214 | 0.005472 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061728 | false | 0.003086 | 0.033951 | 0.012346 | 0.253086 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91e4a887944adf9f3a04214dd378ac72dc05e86a | 2,100 | py | Python | biomaj2galaxy/commands/init.py | genouest/biomaj2galaxy | 8c76f3cc96902d9401a03e7b1a6cd8f4a7ba17bd | [
"MIT"
] | 1 | 2015-05-11T00:08:24.000Z | 2015-05-11T00:08:24.000Z | biomaj2galaxy/commands/init.py | genouest/biomaj2galaxy | 8c76f3cc96902d9401a03e7b1a6cd8f4a7ba17bd | [
"MIT"
] | 5 | 2019-04-15T16:09:50.000Z | 2020-11-24T10:35:21.000Z | biomaj2galaxy/commands/init.py | genouest/biomaj2galaxy | 8c76f3cc96902d9401a03e7b1a6cd8f4a7ba17bd | [
"MIT"
] | 3 | 2015-06-14T08:33:49.000Z | 2020-10-16T09:07:21.000Z | # coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from bioblend import galaxy
from biomaj2galaxy import config, pass_context
from biomaj2galaxy.io import info, warn
import click
CONFIG_TEMPLATE = """## BioMAJ2Galaxy: Global Confi... | 29.166667 | 121 | 0.65381 | 264 | 2,100 | 5.056818 | 0.484848 | 0.052434 | 0.035955 | 0.049438 | 0.029963 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005703 | 0.248571 | 2,100 | 71 | 122 | 29.577465 | 0.840304 | 0.06381 | 0 | 0.039216 | 0 | 0 | 0.342186 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0.039216 | 0.156863 | 0 | 0.215686 | 0.019608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91e5db16db7c305afa819a65e2ba7480fc9d4276 | 4,700 | py | Python | preprocessing/convert_formats/msmarco_doc_create_train_input.py | PranjaliJain/matchmaker | b7e22eb8b70cccabf0729076df7cbab3f4ba4a1f | [
"Apache-2.0"
] | 97 | 2021-07-11T14:34:40.000Z | 2022-03-31T14:17:25.000Z | preprocessing/convert_formats/msmarco_doc_create_train_input.py | PranjaliJain/matchmaker | b7e22eb8b70cccabf0729076df7cbab3f4ba4a1f | [
"Apache-2.0"
] | 12 | 2021-07-11T13:03:23.000Z | 2022-03-02T16:07:11.000Z | preprocessing/convert_formats/msmarco_doc_create_train_input.py | PranjaliJain/matchmaker | b7e22eb8b70cccabf0729076df7cbab3f4ba4a1f | [
"Apache-2.0"
] | 16 | 2019-12-23T01:22:35.000Z | 2021-06-23T12:54:36.000Z | #
# msmarco doc: create the train.tsv triples
# -------------------------------
import random
random.seed(42)
import argparse
import os
import sys
from tqdm import tqdm
sys.path.append(os.getcwd())
from matchmaker.evaluation.msmarco_eval import *
from collections import defaultdict
from matchmaker.dataloaders.blin... | 33.098592 | 154 | 0.636809 | 592 | 4,700 | 4.866554 | 0.275338 | 0.024297 | 0.035404 | 0.036446 | 0.287053 | 0.190559 | 0.155502 | 0.088164 | 0.088164 | 0.019438 | 0 | 0.018806 | 0.219362 | 4,700 | 142 | 155 | 33.098592 | 0.766421 | 0.268298 | 0 | 0.086957 | 0 | 0 | 0.122275 | 0 | 0 | 0 | 0 | 0 | 0.028986 | 1 | 0 | false | 0 | 0.115942 | 0 | 0.115942 | 0.014493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91e914734fc05c34e408967e2c372a75de766234 | 1,207 | py | Python | sdk/loganalytics/azure-mgmt-loganalytics/azure/mgmt/loganalytics/models/search_get_schema_response.py | tzhanl/azure-sdk-for-python | 18cd03f4ab8fd76cc0498f03e80fbc99f217c96e | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | sdk/loganalytics/azure-mgmt-loganalytics/azure/mgmt/loganalytics/models/search_get_schema_response.py | tzhanl/azure-sdk-for-python | 18cd03f4ab8fd76cc0498f03e80fbc99f217c96e | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | sdk/loganalytics/azure-mgmt-loganalytics/azure/mgmt/loganalytics/models/search_get_schema_response.py | tzhanl/azure-sdk-for-python | 18cd03f4ab8fd76cc0498f03e80fbc99f217c96e | [
"MIT"
] | 1 | 2019-06-17T22:18:23.000Z | 2019-06-17T22:18:23.000Z | # 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.
# Changes ... | 36.575758 | 76 | 0.610605 | 122 | 1,207 | 5.959016 | 0.631148 | 0.024759 | 0.057772 | 0.074278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00099 | 0.163215 | 1,207 | 32 | 77 | 37.71875 | 0.718812 | 0.591549 | 0 | 0 | 0 | 0 | 0.188184 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91ebeac4c8302d86c1514c58ecbae0f104ee5904 | 1,332 | py | Python | python/ds/spiralprint.py | unhingedporter/DataStructureMustKnow | 3c5b3225afa2775d37a2ff90121f73208717640a | [
"MIT"
] | 3 | 2019-11-23T08:43:58.000Z | 2019-11-23T08:52:53.000Z | python/ds/spiralprint.py | unhingedpotter/DSMustKnow | 64958cbbbb3f4cdb1104c2255e555233554503f9 | [
"MIT"
] | null | null | null | python/ds/spiralprint.py | unhingedpotter/DSMustKnow | 64958cbbbb3f4cdb1104c2255e555233554503f9 | [
"MIT"
] | null | null | null | # Python3 program to print
# given matrix in spiral form
def spiralPrint(m, n, a):
start_row_index = 0
start_col_index = 0
l = 0
''' start_row_index - starting row index
m - ending row index
start_col_index - starting column index
n - ending column index
i - iterator '''
while (start... | 22.965517 | 61 | 0.534535 | 203 | 1,332 | 3.349754 | 0.295567 | 0.117647 | 0.152941 | 0.064706 | 0.286765 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052144 | 0.352102 | 1,332 | 57 | 62 | 23.368421 | 0.735805 | 0.187688 | 0 | 0 | 0 | 0 | 0.004367 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0 | 0 | 0.04 | 0.16 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91ed3db43e489e433ff783f8e76e26a52b78a6d5 | 568 | py | Python | rest-api/routers/authorization.py | marintrace/backend | ad34bd50bd5e3f90be1ac16a74d39a0a9342fa33 | [
"MIT"
] | 2 | 2021-12-14T03:14:41.000Z | 2022-01-17T18:36:31.000Z | rest-api/routers/authorization.py | marintrace/backend | ad34bd50bd5e3f90be1ac16a74d39a0a9342fa33 | [
"MIT"
] | 1 | 2021-03-29T08:06:42.000Z | 2021-03-29T08:06:42.000Z | rest-api/routers/authorization.py | tracing-app/backend | ad34bd50bd5e3f90be1ac16a74d39a0a9342fa33 | [
"MIT"
] | null | null | null | """
Authorization Utilities
"""
from shared.models.user_entities import User
from shared.service.jwt_auth_wrapper import JWTAuthManager
manager = JWTAuthManager(oidc_vault_secret="oidc/rest",
object_creator=lambda claims, assumed_role, user_roles: User(
first_name=... | 35.5 | 86 | 0.572183 | 54 | 568 | 5.740741 | 0.611111 | 0.064516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.34507 | 568 | 15 | 87 | 37.866667 | 0.833333 | 0.040493 | 0 | 0 | 0 | 0 | 0.065177 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91ee06a1881d10f22e7c8d7c219f9ef37412d52d | 1,365 | py | Python | photonpy/tests/psf_g2d_sigma.py | qnano/photonpy | 9c03a1c9f4c2177c9c6fb3f2f16dfec2306006d4 | [
"MIT"
] | 5 | 2021-04-29T21:06:05.000Z | 2022-03-23T03:45:25.000Z | photonpy/tests/psf_g2d_sigma.py | qnano/photonpy | 9c03a1c9f4c2177c9c6fb3f2f16dfec2306006d4 | [
"MIT"
] | null | null | null | photonpy/tests/psf_g2d_sigma.py | qnano/photonpy | 9c03a1c9f4c2177c9c6fb3f2f16dfec2306006d4 | [
"MIT"
] | 1 | 2021-06-18T12:39:28.000Z | 2021-06-18T12:39:28.000Z | import matplotlib.pyplot as plt
import numpy as np
from photonpy.cpp.context import Context
import photonpy.cpp.gaussian as gaussian
from photonpy.smlm.util import imshow_hstack
from photonpy.cpp.estimator import Estimator
def CheckDeriv(psf:Estimator, theta):
nderiv,ev=psf.NumDeriv(theta,eps=1e-6)
deriv,ev=p... | 26.764706 | 106 | 0.606593 | 181 | 1,365 | 4.502762 | 0.375691 | 0.058896 | 0.03681 | 0.051534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025896 | 0.264469 | 1,365 | 51 | 107 | 26.764706 | 0.785857 | 0.015385 | 0 | 0.060606 | 0 | 0.030303 | 0.114865 | 0.018769 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.181818 | 0 | 0.212121 | 0.121212 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91ee64a13c556aefe5259d2a930de14c6c79472f | 2,018 | py | Python | tests/tools_tests/helpers_tests.py | Gautierhyp/tespy | d44ae41874baeff77619e560faea59dd0cb84c7c | [
"MIT"
] | null | null | null | tests/tools_tests/helpers_tests.py | Gautierhyp/tespy | d44ae41874baeff77619e560faea59dd0cb84c7c | [
"MIT"
] | null | null | null | tests/tools_tests/helpers_tests.py | Gautierhyp/tespy | d44ae41874baeff77619e560faea59dd0cb84c7c | [
"MIT"
] | null | null | null | # -*- coding: utf-8
"""Module for testing helper functions.
This file is part of project TESPy (github.com/oemof/tespy). It's copyrighted
by the contributors recorded in the version control history of the file,
available from its original location
tests/tools_tests/helpers_tests.py
SPDX-License-Identifier: MIT
"""
... | 32.548387 | 78 | 0.646184 | 305 | 2,018 | 4.245902 | 0.357377 | 0.083398 | 0.049421 | 0.064865 | 0.518919 | 0.518919 | 0.518919 | 0.455598 | 0.455598 | 0.364479 | 0 | 0.040883 | 0.236373 | 2,018 | 61 | 79 | 33.081967 | 0.799481 | 0.32557 | 0 | 0.24 | 0 | 0 | 0.349352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.08 | 0.08 | 0.28 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91eed42dd8cd7828f31d4494c0f4f389955bf685 | 8,960 | py | Python | utils/dynamo.py | OnRails-IN/backend | 5f5c9703fcda282ed54f2e6315680fb30fd91a6f | [
"MIT"
] | null | null | null | utils/dynamo.py | OnRails-IN/backend | 5f5c9703fcda282ed54f2e6315680fb30fd91a6f | [
"MIT"
] | null | null | null | utils/dynamo.py | OnRails-IN/backend | 5f5c9703fcda282ed54f2e6315680fb30fd91a6f | [
"MIT"
] | null | null | null | """
Dynamo Utils
============
All utility functions for interactions with DynamoDB
Functions
- ensure_json
- create_user_table
- create_or_update_record
- list_tables
- list_records
- get_record
- delete_table
- delete_record
- check_active
"""
import boto3
from decimal import Deci... | 24.888889 | 76 | 0.547098 | 930 | 8,960 | 5.174194 | 0.147312 | 0.038861 | 0.035328 | 0.087905 | 0.633001 | 0.54946 | 0.504988 | 0.446384 | 0.432668 | 0.432668 | 0 | 0.0023 | 0.369196 | 8,960 | 360 | 77 | 24.888889 | 0.84908 | 0.226674 | 0 | 0.583732 | 0 | 0 | 0.142486 | 0.010549 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047847 | false | 0 | 0.014354 | 0 | 0.253589 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37cd97b1c214ca81d9e46e1e2c07bc9bb82f06f0 | 340 | py | Python | Source/Git/Experiments/git_annotate.py | cadappl/scm-workbench | 302cdb8e36bb755f4977062e8977c37e7f4491f9 | [
"Apache-2.0"
] | 24 | 2017-03-23T06:24:02.000Z | 2022-03-19T13:35:44.000Z | Source/Git/Experiments/git_annotate.py | cadappl/scm-workbench | 302cdb8e36bb755f4977062e8977c37e7f4491f9 | [
"Apache-2.0"
] | 14 | 2016-06-21T10:06:27.000Z | 2020-07-25T11:56:23.000Z | Source/Git/Experiments/git_annotate.py | barry-scott/git-workbench | 9f352875ab097ce5e45f85bf255b1fa02a196807 | [
"Apache-2.0"
] | 11 | 2016-12-25T12:36:16.000Z | 2022-03-23T14:25:25.000Z | #!/usr/bin/python3
import sys
import git
r = git.Repo( sys.argv[1] )
num = 0
for info in r.blame( 'HEAD', sys.argv[2] ):
num += 1
commit = info[0]
all_lines = info[1]
print( '%s %6d:%s' % (commit, num, all_lines[0]) )
for line in all_lines[1:]:
num += 1
print( '%*s %6d:%s' % (4... | 17 | 54 | 0.517647 | 57 | 340 | 3.035088 | 0.45614 | 0.138728 | 0.080925 | 0.104046 | 0.115607 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057143 | 0.279412 | 340 | 19 | 55 | 17.894737 | 0.64898 | 0.05 | 0 | 0.166667 | 0 | 0 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37cf805b2f12051ac4eca05f7ae1c89c1a8dc059 | 544 | py | Python | configs/global_configs.py | HansikaPH/time-series-forecasting | 23be319a190489bc1464653a3d672edd70ab110b | [
"MIT"
] | 67 | 2019-09-09T14:53:35.000Z | 2022-02-21T08:51:15.000Z | configs/global_configs.py | HansikaPH/time-series-forecasting | 23be319a190489bc1464653a3d672edd70ab110b | [
"MIT"
] | 6 | 2019-09-09T06:11:51.000Z | 2019-12-16T04:31:11.000Z | configs/global_configs.py | HansikaPH/time-series-forecasting | 23be319a190489bc1464653a3d672edd70ab110b | [
"MIT"
] | 18 | 2019-09-12T02:49:58.000Z | 2022-02-16T11:15:57.000Z | # configs for the model training
class model_training_configs:
VALIDATION_ERRORS_DIRECTORY = 'results/validation_errors/'
INFO_FREQ = 1
# configs for the model testing
class model_testing_configs:
RNN_FORECASTS_DIRECTORY = 'results/rnn_forecasts/'
RNN_ERRORS_DIRECTORY = 'results/errors'
PROCESSED_R... | 30.222222 | 75 | 0.799632 | 66 | 544 | 6.212121 | 0.439394 | 0.156098 | 0.063415 | 0.087805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008565 | 0.141544 | 544 | 17 | 76 | 32 | 0.869379 | 0.185662 | 0 | 0 | 0 | 0 | 0.216401 | 0.18451 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37cfc9903bdf3148211aecc7d83461d403271fff | 3,967 | py | Python | webium/controls/select.py | kejkz/webium | ccb09876a201e75f5c5810392d4db7a8708b90cb | [
"Apache-2.0"
] | 152 | 2015-01-16T11:26:56.000Z | 2022-01-22T12:11:28.000Z | webium/controls/select.py | goblinintree/webium | ccb09876a201e75f5c5810392d4db7a8708b90cb | [
"Apache-2.0"
] | 13 | 2015-03-05T14:36:44.000Z | 2018-08-08T09:43:39.000Z | webium/controls/select.py | goblinintree/webium | ccb09876a201e75f5c5810392d4db7a8708b90cb | [
"Apache-2.0"
] | 57 | 2015-01-27T12:53:49.000Z | 2022-03-26T23:02:36.000Z | from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.remote.webelement import WebElement
class Select(WebElement):
"""
Implements logic to work with Web List UI elements
"""
@property
def is_multiple(self):
value = self.get_attribute('multiple')
re... | 33.058333 | 118 | 0.57575 | 441 | 3,967 | 5.027211 | 0.244898 | 0.022102 | 0.044204 | 0.03383 | 0.313938 | 0.262517 | 0.18313 | 0.161479 | 0.071719 | 0.051421 | 0 | 0.002258 | 0.330224 | 3,967 | 119 | 119 | 33.336134 | 0.832142 | 0.175952 | 0 | 0.150685 | 0 | 0 | 0.057404 | 0.017613 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136986 | false | 0 | 0.027397 | 0 | 0.328767 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d1196ce920fb2354298f73f3de4a4a984c7332 | 12,564 | py | Python | mc/cookies/CookieManager.py | zy-sunshine/falkon-pyqt5 | bc2b60aa21c9b136439bd57a11f391d68c736f99 | [
"MIT"
] | 1 | 2021-04-29T05:36:44.000Z | 2021-04-29T05:36:44.000Z | mc/cookies/CookieManager.py | zy-sunshine/falkon-pyqt5 | bc2b60aa21c9b136439bd57a11f391d68c736f99 | [
"MIT"
] | 1 | 2020-03-28T17:43:18.000Z | 2020-03-28T17:43:18.000Z | mc/cookies/CookieManager.py | zy-sunshine/falkon-pyqt5 | bc2b60aa21c9b136439bd57a11f391d68c736f99 | [
"MIT"
] | 1 | 2021-01-15T20:09:24.000Z | 2021-01-15T20:09:24.000Z | from PyQt5.QtWidgets import QDialog
from PyQt5 import uic
from PyQt5.Qt import Qt
from PyQt5.Qt import QShortcut
from PyQt5.Qt import QKeySequence
from PyQt5.QtWidgets import QMessageBox
from PyQt5.QtWidgets import QInputDialog
from PyQt5.Qt import QDateTime
from PyQt5.Qt import QStyle
from PyQt5.Qt import QNetworkCook... | 35.897143 | 103 | 0.630372 | 1,240 | 12,564 | 6.240323 | 0.206452 | 0.062807 | 0.043422 | 0.013182 | 0.256526 | 0.189325 | 0.124451 | 0.059188 | 0.031791 | 0.031791 | 0 | 0.004501 | 0.257243 | 12,564 | 349 | 104 | 36 | 0.824689 | 0.046721 | 0 | 0.142857 | 0 | 0 | 0.06542 | 0.006235 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.065306 | 0.004082 | 0.208163 | 0.004082 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d161d2ab9998ed2955dcc68be64d87474fc1ce | 1,803 | py | Python | .circleci/process_submitted_data.py | dongbohu/cimr-d | 7d8f7f7319cff0092946a28d1416d38c06e085d7 | [
"CC-BY-4.0"
] | null | null | null | .circleci/process_submitted_data.py | dongbohu/cimr-d | 7d8f7f7319cff0092946a28d1416d38c06e085d7 | [
"CC-BY-4.0"
] | null | null | null | .circleci/process_submitted_data.py | dongbohu/cimr-d | 7d8f7f7319cff0092946a28d1416d38c06e085d7 | [
"CC-BY-4.0"
] | 2 | 2019-05-22T16:05:54.000Z | 2019-05-23T14:29:10.000Z | #!/usr/bin/env python3
import os
import sys
import logging
import subprocess
logging.basicConfig(level=logging.INFO)
root_dir = 'submitted_data'
submitted_file_split = set()
for dir_, _, files in os.walk(root_dir):
for file_name in files:
rel_dir = os.path.relpath(dir_, root_dir)
rel_file = os... | 31.086207 | 95 | 0.585136 | 217 | 1,803 | 4.603687 | 0.359447 | 0.117117 | 0.06006 | 0.045045 | 0.16016 | 0.052052 | 0.052052 | 0.052052 | 0 | 0 | 0 | 0.007414 | 0.326678 | 1,803 | 57 | 96 | 31.631579 | 0.815486 | 0.011647 | 0 | 0 | 0 | 0 | 0.094382 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.146341 | 0 | 0.146341 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d19d97641fbdfe4cfca519ffd963eb1a649c60 | 469 | py | Python | common/enums.py | resourceidea/resourceideaapi | 4cc7db98f981d8f2011c1995e23e8a8655e31f75 | [
"MIT"
] | 1 | 2020-05-30T22:27:59.000Z | 2020-05-30T22:27:59.000Z | common/enums.py | resourceidea/resourceideaapi | 4cc7db98f981d8f2011c1995e23e8a8655e31f75 | [
"MIT"
] | 15 | 2020-02-11T21:53:08.000Z | 2021-11-02T21:20:03.000Z | common/enums.py | resourceidea/resourceideaapi | 4cc7db98f981d8f2011c1995e23e8a8655e31f75 | [
"MIT"
] | 1 | 2020-08-27T10:57:47.000Z | 2020-08-27T10:57:47.000Z | import enum
class Status(enum.Enum):
"""Status enumeration."""
ACTIVE = 'ACTIVE'
DISABLED = 'DISABLED'
ARCHIVED = 'ARCHIVED'
DELETED = 'DELETED'
class ProgressStatus(enum.Enum):
"""Enumeration indicates the different
stages of the progress made on an engagement,
job or ... | 21.318182 | 50 | 0.616205 | 49 | 469 | 5.857143 | 0.612245 | 0.055749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.277186 | 469 | 21 | 51 | 22.333333 | 0.846608 | 0.24307 | 0 | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d34e7f40c00147044227bceb687730996c355b | 10,288 | py | Python | biggan/paddorch/paddorch/vision/functional.py | zzz2010/Contrib | d351d83da718145cef9f6c98598f7fedc027efe5 | [
"Apache-2.0"
] | 20 | 2020-03-13T13:40:32.000Z | 2022-03-10T07:31:48.000Z | biggan/paddorch/paddorch/vision/functional.py | zzz2010/Contrib | d351d83da718145cef9f6c98598f7fedc027efe5 | [
"Apache-2.0"
] | 34 | 2020-02-20T11:04:58.000Z | 2022-03-12T00:54:26.000Z | biggan/paddorch/paddorch/vision/functional.py | zzz2010/Contrib | d351d83da718145cef9f6c98598f7fedc027efe5 | [
"Apache-2.0"
] | 41 | 2020-02-14T09:34:39.000Z | 2022-03-10T07:31:42.000Z | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 38.38806 | 111 | 0.602061 | 1,389 | 10,288 | 4.403888 | 0.203024 | 0.021743 | 0.012751 | 0.014713 | 0.285271 | 0.222168 | 0.18751 | 0.170508 | 0.145496 | 0.128494 | 0 | 0.026076 | 0.29549 | 10,288 | 268 | 112 | 38.38806 | 0.817881 | 0.494751 | 0 | 0.094828 | 0 | 0 | 0.091272 | 0 | 0 | 0 | 0 | 0 | 0.017241 | 1 | 0.043103 | false | 0 | 0.060345 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d5209ef3010122c779cf4e6e97b119c2f9a504 | 14,267 | py | Python | ground_battle.py | ashhansen6/minigames | 5b2e0db14b3567c9b6220206105ed448fb303551 | [
"MIT"
] | null | null | null | ground_battle.py | ashhansen6/minigames | 5b2e0db14b3567c9b6220206105ed448fb303551 | [
"MIT"
] | 3 | 2021-03-25T02:39:44.000Z | 2021-06-16T17:53:36.000Z | ground_battle.py | ashhansen6/minigames | 5b2e0db14b3567c9b6220206105ed448fb303551 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 29 13:38:35 2021
GROUND INVASION! The Game
@author: Ashton Hansen (ashhansen6@outlook.com)
"""
# Packages used:
import numpy as np
import pandas as pd
import random as rng
from termcolor import colored
# Defining starting forces
## Defenders:
def_force =... | 41.961765 | 107 | 0.604892 | 1,671 | 14,267 | 4.968282 | 0.159186 | 0.0318 | 0.021682 | 0.018791 | 0.532402 | 0.460371 | 0.419778 | 0.400385 | 0.385931 | 0.344977 | 0 | 0.021663 | 0.255835 | 14,267 | 339 | 108 | 42.085546 | 0.76029 | 0.056284 | 0 | 0.44964 | 0 | 0 | 0.310276 | 0.01362 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014388 | false | 0.003597 | 0.014388 | 0 | 0.028777 | 0.370504 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d57b222d4daa1969049535271df3dff47b0edb | 1,925 | py | Python | ws2122-lspm/Lib/site-packages/pm4py/statistics/overlap/utils/compute.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-19T04:02:46.000Z | 2022-01-19T04:02:46.000Z | ws2122-lspm/Lib/site-packages/pm4py/statistics/overlap/utils/compute.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2021-11-19T07:21:48.000Z | 2021-11-19T07:21:48.000Z | ws2122-lspm/Lib/site-packages/pm4py/statistics/overlap/utils/compute.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-14T17:15:38.000Z | 2022-01-14T17:15:38.000Z | '''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any late... | 31.048387 | 122 | 0.676883 | 264 | 1,925 | 4.905303 | 0.488636 | 0.015444 | 0.030116 | 0.044015 | 0.06332 | 0.043243 | 0 | 0 | 0 | 0 | 0 | 0.010753 | 0.227013 | 1,925 | 61 | 123 | 31.557377 | 0.859543 | 0.537143 | 0 | 0 | 0 | 0 | 0.008974 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.210526 | 0 | 0.421053 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d597714762fd1b5295ccfa14750529f2501042 | 1,775 | py | Python | webapp/apps/Base Quiz/baseui_gen.py | sk-Prime/webapp | c21d7d49de4e4442f9af29ba9f08f37b5abbd20d | [
"MIT"
] | 4 | 2021-12-11T16:01:10.000Z | 2021-12-22T19:47:51.000Z | webapp/apps/Base Quiz/baseui_gen.py | sk-Prime/webapp | c21d7d49de4e4442f9af29ba9f08f37b5abbd20d | [
"MIT"
] | null | null | null | webapp/apps/Base Quiz/baseui_gen.py | sk-Prime/webapp | c21d7d49de4e4442f9af29ba9f08f37b5abbd20d | [
"MIT"
] | null | null | null | from htmlman import HTMLMan
from styleman import Template
page=HTMLMan()
page.make_responsive()
page.add_title("Base Quiz")
style=Template('antartica')
page.add_body_class(style['page'])
page.add_js("baseui.js")
page.create_section('main',append=True)
page['main'].add_style_class(style['main'])
title=page.create_sec... | 26.102941 | 73 | 0.750423 | 262 | 1,775 | 4.843511 | 0.282443 | 0.078802 | 0.120567 | 0.085106 | 0.080378 | 0.044129 | 0 | 0 | 0 | 0 | 0 | 0.010863 | 0.066479 | 1,775 | 68 | 74 | 26.102941 | 0.754979 | 0.021408 | 0 | 0 | 0 | 0 | 0.227404 | 0.01209 | 0 | 0 | 0.001727 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.04 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d5b6f804f5b3c1c18198672cc73bf3cc33a2a6 | 514 | py | Python | cluster_config/cluster.py | srcc-msu/job_statistics | 74680a4e4c105ebcff94f089e07fcb44dbcc12d9 | [
"MIT"
] | null | null | null | cluster_config/cluster.py | srcc-msu/job_statistics | 74680a4e4c105ebcff94f089e07fcb44dbcc12d9 | [
"MIT"
] | null | null | null | cluster_config/cluster.py | srcc-msu/job_statistics | 74680a4e4c105ebcff94f089e07fcb44dbcc12d9 | [
"MIT"
] | null | null | null | name = "cluster"
num_cores = 1000
GENERAL_PARTITIONS = ["regular"]
GPU_PARTITIONS = ["gpu"]
PARTITIONS = GENERAL_PARTITIONS + GPU_PARTITIONS
ACTIVE_JOB_STATES = ["RUNNING", "COMPLETING"]
FINISHED_JOB_STATES = ["COMPLETED", "NODE_FAIL", "TIMEOUT", "FAILED", "CANCELLED"]
JOB_STATES = ACTIVE_JOB_STATES + FINISHED_JOB_... | 27.052632 | 82 | 0.741245 | 68 | 514 | 5.382353 | 0.676471 | 0.122951 | 0.125683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024499 | 0.126459 | 514 | 18 | 83 | 28.555556 | 0.790646 | 0.190661 | 0 | 0 | 0 | 0 | 0.180929 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d62e06868fc1146c429cff23d726ebbfa8afd8 | 7,146 | py | Python | room_assistance/indico_room_assistance/plugin.py | OmeGak/indico-plugins-cern | 6e32bc158877080085ceffd021ab1d2247192f75 | [
"MIT"
] | 4 | 2019-02-12T05:08:56.000Z | 2022-03-09T23:43:18.000Z | room_assistance/indico_room_assistance/plugin.py | OmeGak/indico-plugins-cern | 6e32bc158877080085ceffd021ab1d2247192f75 | [
"MIT"
] | 40 | 2017-11-08T15:08:50.000Z | 2022-03-28T15:09:51.000Z | room_assistance/indico_room_assistance/plugin.py | OmeGak/indico-plugins-cern | 6e32bc158877080085ceffd021ab1d2247192f75 | [
"MIT"
] | 15 | 2017-11-08T12:35:59.000Z | 2022-01-13T15:16:42.000Z | # This file is part of the CERN Indico plugins.
# Copyright (C) 2014 - 2021 CERN
#
# The CERN Indico plugins are free software; you can redistribute
# them and/or modify them under the terms of the MIT License; see
# the LICENSE file for more details.
import dateutil.parser
import pytz
from flask import flash, request... | 52.160584 | 120 | 0.645116 | 773 | 7,146 | 5.730919 | 0.291074 | 0.088488 | 0.033183 | 0.02167 | 0.185327 | 0.142889 | 0.095711 | 0.095711 | 0.095711 | 0.095711 | 0 | 0.002135 | 0.279037 | 7,146 | 136 | 121 | 52.544118 | 0.857725 | 0.04562 | 0 | 0.085714 | 0 | 0 | 0.186029 | 0.046176 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.190476 | 0.038095 | 0.428571 | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d69c9affc9004808d91089e961fe9861840f56 | 6,808 | py | Python | datamart/materializers/wikidata_spo_materializer.py | liangmuxin/datamart | 495a21588db39c9ad239409208bec701dca07f30 | [
"MIT"
] | 7 | 2018-10-02T01:32:23.000Z | 2020-10-08T00:42:35.000Z | datamart/materializers/wikidata_spo_materializer.py | liangmuxin/datamart | 495a21588db39c9ad239409208bec701dca07f30 | [
"MIT"
] | 47 | 2018-10-02T05:41:13.000Z | 2021-02-02T21:50:31.000Z | datamart/materializers/wikidata_spo_materializer.py | liangmuxin/datamart | 495a21588db39c9ad239409208bec701dca07f30 | [
"MIT"
] | 19 | 2018-10-01T22:27:20.000Z | 2019-02-28T18:59:53.000Z | from datamart.materializers.materializer_base import MaterializerBase
import os
import urllib.request
import sys
import csv
import copy
import json
from typing import List
from pprint import pprint
import re
import typing
from pandas import DataFrame
import traceback
class WikidataSPOMaterializer(MaterializerBase):
... | 38.03352 | 126 | 0.552732 | 717 | 6,808 | 5.034868 | 0.225941 | 0.042382 | 0.022161 | 0.018283 | 0.209972 | 0.202216 | 0.184488 | 0.166205 | 0.147922 | 0.147922 | 0 | 0.005215 | 0.324031 | 6,808 | 178 | 127 | 38.247191 | 0.779226 | 0.07829 | 0 | 0.153285 | 0 | 0 | 0.084253 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065693 | false | 0 | 0.094891 | 0 | 0.233577 | 0.021898 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d6ae677936f62a1cad64182feb228714d24c7d | 1,402 | py | Python | axelrod/load_data_.py | danilobellini/Axelrod | 2c9212553e06095c24adcb82a5979279cbdf45fb | [
"MIT"
] | null | null | null | axelrod/load_data_.py | danilobellini/Axelrod | 2c9212553e06095c24adcb82a5979279cbdf45fb | [
"MIT"
] | 1 | 2019-01-22T09:59:52.000Z | 2019-01-22T09:59:52.000Z | axelrod/load_data_.py | danilobellini/Axelrod | 2c9212553e06095c24adcb82a5979279cbdf45fb | [
"MIT"
] | null | null | null | from typing import Dict, List, Tuple
import pkg_resources
def load_file(filename: str, directory: str) -> List[List[str]]:
"""Loads a data file stored in the Axelrod library's data subdirectory,
likely for parameters for a strategy."""
path = "/".join((directory, filename))
data_bytes = pkg_resources... | 31.155556 | 75 | 0.601284 | 198 | 1,402 | 4.151515 | 0.373737 | 0.036496 | 0.058394 | 0.048662 | 0.121655 | 0.121655 | 0.121655 | 0.121655 | 0.121655 | 0.121655 | 0 | 0.010329 | 0.240371 | 1,402 | 44 | 76 | 31.863636 | 0.761502 | 0.110556 | 0 | 0.242424 | 0 | 0 | 0.04564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.060606 | 0 | 0.242424 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d85e09c27d6497523862946e45ed0db97f77b6 | 5,248 | py | Python | prescryptchain/api/views.py | genobank-io/CryptoVault | 7c2f6c4c55df7d9e172058aad334a26786ea839f | [
"Apache-2.0"
] | 3 | 2018-05-03T18:40:48.000Z | 2019-06-09T19:04:44.000Z | prescryptchain/api/views.py | genobank-io/CryptoVault | 7c2f6c4c55df7d9e172058aad334a26786ea839f | [
"Apache-2.0"
] | 6 | 2018-06-27T00:14:46.000Z | 2018-10-29T20:51:45.000Z | prescryptchain/api/views.py | genobank-io/CryptoVault | 7c2f6c4c55df7d9e172058aad334a26786ea839f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
# REST
from rest_framework.viewsets import ViewSetMixin
from rest_framework import routers, serializers, viewsets
from rest_framework.authentication import SessionAuthentication, BasicAuthentication, TokenAuthentication
from rest_framework.permissions imp... | 33.858065 | 129 | 0.664444 | 558 | 5,248 | 6.003584 | 0.284946 | 0.034925 | 0.045672 | 0.018806 | 0.268358 | 0.203881 | 0.159104 | 0.159104 | 0.159104 | 0.125075 | 0 | 0.004004 | 0.238567 | 5,248 | 154 | 130 | 34.077922 | 0.834334 | 0.11109 | 0 | 0.280374 | 0 | 0 | 0.102369 | 0.004564 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046729 | false | 0 | 0.121495 | 0.018692 | 0.429907 | 0.009346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37d92a06667232ad4a4f6ca14ad0257dd6a2e56a | 2,484 | py | Python | client/commands/incremental.py | stvreumi/pyre-check | 94d13c8df37b53843ae92544b81042347b64315d | [
"MIT"
] | null | null | null | client/commands/incremental.py | stvreumi/pyre-check | 94d13c8df37b53843ae92544b81042347b64315d | [
"MIT"
] | null | null | null | client/commands/incremental.py | stvreumi/pyre-check | 94d13c8df37b53843ae92544b81042347b64315d | [
"MIT"
] | null | null | null | # Copyright (c) 2016-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import atexit
import logging
import os
import subprocess
import sys
from typing import List
from .command import ClientException, ExitCode, State
f... | 31.846154 | 88 | 0.625201 | 269 | 2,484 | 5.568773 | 0.416357 | 0.079439 | 0.040053 | 0.052069 | 0.030708 | 0.030708 | 0 | 0 | 0 | 0 | 0 | 0.007226 | 0.275765 | 2,484 | 77 | 89 | 32.25974 | 0.825459 | 0.074477 | 0 | 0 | 0 | 0 | 0.092891 | 0.021805 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0.157895 | 0 | 0.280702 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37da81bd71be1d388df7554cdc71e1b8d0bef4e9 | 26,540 | py | Python | main_random_policy.py | rish-raghu/Object-Goal-Navigation | d2c882f3a97396c691fc75b46bd94bb7077f7d0f | [
"MIT"
] | null | null | null | main_random_policy.py | rish-raghu/Object-Goal-Navigation | d2c882f3a97396c691fc75b46bd94bb7077f7d0f | [
"MIT"
] | null | null | null | main_random_policy.py | rish-raghu/Object-Goal-Navigation | d2c882f3a97396c691fc75b46bd94bb7077f7d0f | [
"MIT"
] | null | null | null | from collections import deque, defaultdict
import os
import sys
import logging
import time
import json
import gym
import torch.nn as nn
import torch
import numpy as np
import matplotlib.pyplot as plt
from model import RL_Policy, Semantic_Mapping
from utils.storage import GlobalRolloutStorage
from envs import make_vec_... | 41.020093 | 132 | 0.511492 | 3,339 | 26,540 | 3.830488 | 0.112908 | 0.036122 | 0.018765 | 0.02502 | 0.503753 | 0.452619 | 0.42455 | 0.395152 | 0.383425 | 0.371853 | 0 | 0.021995 | 0.335343 | 26,540 | 646 | 133 | 41.083591 | 0.703061 | 0.117257 | 0 | 0.433121 | 0 | 0 | 0.061459 | 0.010621 | 0 | 0 | 0 | 0.001548 | 0 | 1 | 0.012739 | false | 0 | 0.03397 | 0 | 0.050955 | 0.016985 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37ddb9f83521ff471c035e9cd6a4902772e590bf | 5,107 | py | Python | mindarmour/utils/logger.py | hboshnak/mindarmour | 0609a4eaea875a84667bed279add9305752880cc | [
"Apache-2.0"
] | 139 | 2020-03-28T02:37:07.000Z | 2022-03-24T15:35:39.000Z | mindarmour/utils/logger.py | hboshnak/mindarmour | 0609a4eaea875a84667bed279add9305752880cc | [
"Apache-2.0"
] | 2 | 2020-04-02T09:50:21.000Z | 2020-05-09T06:52:57.000Z | mindarmour/utils/logger.py | hboshnak/mindarmour | 0609a4eaea875a84667bed279add9305752880cc | [
"Apache-2.0"
] | 12 | 2020-03-28T02:52:42.000Z | 2021-07-15T08:05:06.000Z | # Copyright 2019 Huawei Technologies Co., Ltd
#
# 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 to... | 32.119497 | 91 | 0.595457 | 621 | 5,107 | 4.761675 | 0.289855 | 0.024349 | 0.027054 | 0.018938 | 0.308759 | 0.291173 | 0.266824 | 0.266824 | 0.256679 | 0.223199 | 0 | 0.008542 | 0.289407 | 5,107 | 158 | 92 | 32.322785 | 0.806283 | 0.440572 | 0 | 0.192308 | 0 | 0 | 0.085931 | 0.029907 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.019231 | 0 | 0.326923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e09e1c599fd41f037cb54000938dba1d33127b | 7,483 | py | Python | bert_rerannker_eval.py | satya77/transformer_rankers | 0d2c20bd26041d887fb65102020a0b609ec967fc | [
"MIT"
] | null | null | null | bert_rerannker_eval.py | satya77/transformer_rankers | 0d2c20bd26041d887fb65102020a0b609ec967fc | [
"MIT"
] | null | null | null | bert_rerannker_eval.py | satya77/transformer_rankers | 0d2c20bd26041d887fb65102020a0b609ec967fc | [
"MIT"
] | null | null | null | from transformer_rankers.trainers import transformer_trainer
from transformer_rankers.datasets import dataset, preprocess_scisumm_ranked
from transformer_rankers.eval import results_analyses_tools
from transformers import BertTokenizer, BertForSequenceClassification
from sacred.observers import FileStorageObserver
fro... | 47.967949 | 116 | 0.526928 | 821 | 7,483 | 4.544458 | 0.263094 | 0.027339 | 0.027875 | 0.028947 | 0.292415 | 0.254891 | 0.226749 | 0.218172 | 0.210935 | 0.136425 | 0 | 0.013634 | 0.372711 | 7,483 | 156 | 117 | 47.967949 | 0.78121 | 0.425498 | 0 | 0.025974 | 0 | 0 | 0.149788 | 0.016722 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025974 | false | 0 | 0.168831 | 0 | 0.220779 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e13b4fd890037fc4d7192b2e7467ef9a1cb201 | 4,033 | py | Python | check.py | Dysoncat/student-services-slas-chat-bot | 5d9c7105cef640c34018d260249b6a05b959e73f | [
"MIT"
] | null | null | null | check.py | Dysoncat/student-services-slas-chat-bot | 5d9c7105cef640c34018d260249b6a05b959e73f | [
"MIT"
] | null | null | null | check.py | Dysoncat/student-services-slas-chat-bot | 5d9c7105cef640c34018d260249b6a05b959e73f | [
"MIT"
] | null | null | null | import long_responses as long
# Returns the probability of a message matching the responses that we have
def messageProb(userMessage, recognizedWords, isSingleResponse=False, requiredWords=[]):
messageCertainty = 0
hasRequiredWords = True
# Counts how many words are present in each predefined message
... | 40.33 | 154 | 0.623109 | 485 | 4,033 | 5.039175 | 0.334021 | 0.06383 | 0.055237 | 0.027823 | 0.183306 | 0.139116 | 0.108838 | 0.108838 | 0.108838 | 0.108838 | 0 | 0.00665 | 0.21696 | 4,033 | 99 | 155 | 40.737374 | 0.767258 | 0.147037 | 0 | 0.063492 | 0 | 0 | 0.223454 | 0.009043 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0 | 0.015873 | 0 | 0.15873 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e16ab061f36f12398b74b8a1440f3cc6768529 | 1,446 | py | Python | image_predictor/utils.py | jdalzatec/streamlit-manizales-tech-talks | 619af5edc79a22ed4cc9f50dd2d0379399357549 | [
"MIT"
] | 2 | 2022-02-05T15:48:55.000Z | 2022-02-05T15:57:40.000Z | image_predictor/utils.py | jdalzatec/streamlit-manizales-tech-talks | 619af5edc79a22ed4cc9f50dd2d0379399357549 | [
"MIT"
] | null | null | null | image_predictor/utils.py | jdalzatec/streamlit-manizales-tech-talks | 619af5edc79a22ed4cc9f50dd2d0379399357549 | [
"MIT"
] | 4 | 2022-02-05T15:49:02.000Z | 2022-02-05T15:58:14.000Z | from io import StringIO
import numpy as np
from h5py import File
from keras.models import load_model as keras_load_model
from PIL import Image, ImageOps
def predict(image, model):
# Create the array of the right shape to feed into the keras model
# The 'length' or number of images you can put into the array ... | 32.133333 | 81 | 0.697095 | 218 | 1,446 | 4.541284 | 0.444954 | 0.040404 | 0.028283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035587 | 0.222683 | 1,446 | 44 | 82 | 32.863636 | 0.845196 | 0.331259 | 0 | 0 | 0 | 0 | 0.001046 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.2 | 0.04 | 0.44 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e304a5ab34e95d070c76d96d91559914adff14 | 561 | py | Python | tests/facebook/models/test_photo.py | Socian-Ltd/python-facebook-1 | e9a4f626b37541103c9534a29342ef6033c09c06 | [
"Apache-2.0"
] | 2 | 2021-03-16T02:58:10.000Z | 2021-03-16T16:53:23.000Z | tests/facebook/models/test_photo.py | nedsons/python-facebook | bf2b4a70ef0e0a67a142f5856586ea318f9807ea | [
"Apache-2.0"
] | null | null | null | tests/facebook/models/test_photo.py | nedsons/python-facebook | bf2b4a70ef0e0a67a142f5856586ea318f9807ea | [
"Apache-2.0"
] | 1 | 2021-06-02T07:15:35.000Z | 2021-06-02T07:15:35.000Z | import json
import unittest
import pyfacebook.models as models
class PhotoModelTest(unittest.TestCase):
BASE_PATH = "testdata/facebook/models/photos/"
with open(BASE_PATH + 'photo.json', 'rb') as f:
PHOTO_INFO = json.loads(f.read().decode('utf-8'))
def testPhoto(self):
m = models.Photo.... | 28.05 | 60 | 0.686275 | 75 | 561 | 5.026667 | 0.573333 | 0.159151 | 0.127321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078431 | 0.181818 | 561 | 19 | 61 | 29.526316 | 0.742919 | 0 | 0 | 0 | 0 | 0 | 0.14082 | 0.057041 | 0 | 0 | 0 | 0 | 0.307692 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e4a1783cf1d5a9318a74c7d860d1f54e64ee4e | 5,837 | py | Python | airbyte-integrations/connectors/source-scaffold-source-python/source_scaffold_source_python/source.py | curanaj/airbyte-dbt-demo | f6b8ccd8f8e57b7ea84caf814b14d836338e8007 | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-scaffold-source-python/source_scaffold_source_python/source.py | curanaj/airbyte-dbt-demo | f6b8ccd8f8e57b7ea84caf814b14d836338e8007 | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-scaffold-source-python/source_scaffold_source_python/source.py | curanaj/airbyte-dbt-demo | f6b8ccd8f8e57b7ea84caf814b14d836338e8007 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2020 Airbyte
#
# 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, merge, publ... | 47.072581 | 122 | 0.704471 | 758 | 5,837 | 5.408971 | 0.358839 | 0.021463 | 0.010244 | 0.02122 | 0.204146 | 0.18 | 0.18 | 0.18 | 0.18 | 0.18 | 0 | 0.002256 | 0.240535 | 5,837 | 123 | 123 | 47.455285 | 0.922626 | 0.648621 | 0 | 0.05 | 0 | 0 | 0.091442 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.15 | 0 | 0.325 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e57878ec351c326eab8dff88096e5a9b705681 | 8,983 | py | Python | experiments/vgg16/VGG16_utils.py | petrapoklukar/DCA | e5b3f3481433306a4b33e712272f8bbf5e9d05ce | [
"MIT"
] | 2 | 2022-02-14T15:54:22.000Z | 2022-02-15T18:43:36.000Z | experiments/vgg16/VGG16_utils.py | petrapoklukar/DCA | e5b3f3481433306a4b33e712272f8bbf5e9d05ce | [
"MIT"
] | null | null | null | experiments/vgg16/VGG16_utils.py | petrapoklukar/DCA | e5b3f3481433306a4b33e712272f8bbf5e9d05ce | [
"MIT"
] | null | null | null | import pickle
import numpy as np
import os
def _analyze_query_point_assignment(
query_data_dict: dict,
init_Rdata_dict: dict,
init_Edata_dict: dict,
num_R: int,
query_point_assignment_array: np.ndarray,
root: str,
n_points_to_copy=50,
):
"""
Analyzes and visualizes qDCA results.
... | 36.815574 | 87 | 0.571969 | 1,088 | 8,983 | 4.348346 | 0.132353 | 0.043754 | 0.059184 | 0.068696 | 0.596914 | 0.512788 | 0.447263 | 0.395477 | 0.313464 | 0.301205 | 0 | 0.015974 | 0.317043 | 8,983 | 243 | 88 | 36.967078 | 0.755175 | 0.075365 | 0 | 0.267327 | 0 | 0 | 0.13352 | 0.06026 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009901 | false | 0 | 0.014851 | 0 | 0.029703 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e640e884ea7efdcb34d9809f129977c3b8f796 | 2,905 | py | Python | back-end/RawFishSheep/app_cart/views.py | Coldarra/RawFishSheep | 266bd9d8d9832d5c692b63e7515d45fdc4f6acc4 | [
"Apache-2.0"
] | null | null | null | back-end/RawFishSheep/app_cart/views.py | Coldarra/RawFishSheep | 266bd9d8d9832d5c692b63e7515d45fdc4f6acc4 | [
"Apache-2.0"
] | 4 | 2021-10-06T22:49:52.000Z | 2022-02-27T12:28:18.000Z | back-end/RawFishSheep/app_cart/views.py | Coldarra/RawFishSheep | 266bd9d8d9832d5c692b63e7515d45fdc4f6acc4 | [
"Apache-2.0"
] | null | null | null | from .models import *
from decorator import *
from app_goods.views import getGoodsByID
# 查询当前用户所有的购物车信息
def getCartByUser(user_id=None):
if user_id == None:
raise ParamException()
return Cart.objects.filter(user_id=user_id)
def getSelectedCart(user_id=None):
if user_id == None:
raise P... | 29.05 | 78 | 0.685714 | 393 | 2,905 | 4.857506 | 0.145038 | 0.144578 | 0.117863 | 0.136197 | 0.614458 | 0.572027 | 0.481928 | 0.470927 | 0.440545 | 0.3934 | 0 | 0.011704 | 0.205852 | 2,905 | 99 | 79 | 29.343434 | 0.815778 | 0.014114 | 0 | 0.408451 | 0 | 0 | 0.017489 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15493 | false | 0 | 0.042254 | 0.014085 | 0.323944 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e6a1c12c2e7ca4fa6cc0bc35bd20189bfd7063 | 7,704 | py | Python | extensions/catsum.py | johannesgiorgis/my-timewarrior-extensions | 1a8b83359298d3cbf002148f02b5ef6f1693a797 | [
"MIT"
] | null | null | null | extensions/catsum.py | johannesgiorgis/my-timewarrior-extensions | 1a8b83359298d3cbf002148f02b5ef6f1693a797 | [
"MIT"
] | 1 | 2022-02-14T16:53:54.000Z | 2022-02-14T16:53:54.000Z | extensions/catsum.py | xoiopure/my-timewarrior-extensions | 1a8b83359298d3cbf002148f02b5ef6f1693a797 | [
"MIT"
] | 1 | 2021-08-29T00:32:18.000Z | 2021-08-29T00:32:18.000Z | #!/usr/bin/env python3
###############################################################################
#
# Category Summaries
#
#
###############################################################################
import datetime
import io
import json
import logging
import pprint
import sys
from typing import Dict, Any
... | 31.57377 | 98 | 0.641874 | 899 | 7,704 | 5.292547 | 0.221357 | 0.08575 | 0.043716 | 0.020177 | 0.269021 | 0.166036 | 0.12232 | 0.067255 | 0.044977 | 0.044977 | 0 | 0.010339 | 0.221573 | 7,704 | 243 | 99 | 31.703704 | 0.783058 | 0.123572 | 0 | 0.10828 | 0 | 0.019108 | 0.144562 | 0.047575 | 0 | 0 | 0 | 0.004115 | 0 | 1 | 0.050955 | false | 0 | 0.050955 | 0 | 0.146497 | 0.082803 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37e90c8995ed6a6f4dbc2bb7d6d0c967a69b04ab | 3,881 | py | Python | resources/hotel.py | jnascimentocode/REST-API-COM-PYTHON-E-FLASK | c55dca53f3a864c6c1aba8bbde63dcadc3c19347 | [
"MIT"
] | null | null | null | resources/hotel.py | jnascimentocode/REST-API-COM-PYTHON-E-FLASK | c55dca53f3a864c6c1aba8bbde63dcadc3c19347 | [
"MIT"
] | null | null | null | resources/hotel.py | jnascimentocode/REST-API-COM-PYTHON-E-FLASK | c55dca53f3a864c6c1aba8bbde63dcadc3c19347 | [
"MIT"
] | null | null | null | from typing import ParamSpecArgs
from flask_restful import Resource, reqparse
from models.hotel import HotelModel
from flask_jwt_extended import jwt_required
from models.site import SiteModel
from resources.filtros import *
import sqlite3
path_params = reqparse.RequestParser()
path_params.add_argument('cidade', type=s... | 34.345133 | 116 | 0.631538 | 461 | 3,881 | 5.156182 | 0.26898 | 0.038284 | 0.038284 | 0.061843 | 0.424485 | 0.346235 | 0.280606 | 0.174169 | 0.142196 | 0.142196 | 0 | 0.012182 | 0.259727 | 3,881 | 112 | 117 | 34.651786 | 0.815176 | 0.001804 | 0 | 0.303371 | 0 | 0 | 0.152713 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05618 | false | 0 | 0.078652 | 0 | 0.314607 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37eaf107409d84d5c2fde68eaa08ffa5c4d85c18 | 2,413 | py | Python | testing/berge_equilibrium_cndp.py | Eliezer-Beczi/CNDP | 73decdfaef1c9e546ad94dd7448c89078af27034 | [
"MIT"
] | 1 | 2021-08-13T09:14:40.000Z | 2021-08-13T09:14:40.000Z | testing/berge_equilibrium_cndp.py | Eliezer-Beczi/CNDP | 73decdfaef1c9e546ad94dd7448c89078af27034 | [
"MIT"
] | null | null | null | testing/berge_equilibrium_cndp.py | Eliezer-Beczi/CNDP | 73decdfaef1c9e546ad94dd7448c89078af27034 | [
"MIT"
] | null | null | null | import networkx as nx
import utils.connectivity_metrics as connectivity_metric
from platypus import NSGAII, EpsMOEA, NSGAIII, EpsNSGAII, Problem, Dominance, Subset, TournamentSelector, \
HypervolumeFitnessEvaluator, Archive
import statistics
import multiprocessing as mp
G = nx.read_adjlist("input/Ventresca/Barabas... | 25.135417 | 111 | 0.63075 | 300 | 2,413 | 4.823333 | 0.356667 | 0.024879 | 0.06358 | 0.033172 | 0.070491 | 0.070491 | 0.027643 | 0 | 0 | 0 | 0 | 0.020705 | 0.259428 | 2,413 | 95 | 112 | 25.4 | 0.789032 | 0 | 0 | 0.075758 | 0 | 0 | 0.037298 | 0.016991 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106061 | false | 0 | 0.075758 | 0 | 0.30303 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37eb3791b2e71065562272b988c38a600939b27b | 3,087 | py | Python | Charm/models/risk_functions.py | TanyaAdams1/Charm | cc6dd64d01f8cb4cf0eb92dadefcb7575d75ec9d | [
"BSD-3-Clause"
] | 17 | 2018-04-23T20:17:58.000Z | 2021-04-12T19:28:40.000Z | Charm/models/risk_functions.py | TanyaAdams1/Charm | cc6dd64d01f8cb4cf0eb92dadefcb7575d75ec9d | [
"BSD-3-Clause"
] | 1 | 2020-02-01T23:57:28.000Z | 2020-02-04T18:03:17.000Z | Charm/models/risk_functions.py | TanyaAdams1/Charm | cc6dd64d01f8cb4cf0eb92dadefcb7575d75ec9d | [
"BSD-3-Clause"
] | 3 | 2018-04-19T19:24:38.000Z | 2020-11-06T00:33:53.000Z | import numpy as np
from mcerp import *
from uncertainties.core import AffineScalarFunc
class RiskFunction(object):
def get_risk(self, bar, p):
""" Computes risk for perf array w.r.t. bar.
Args:
bar: reference performance bar.
perfs: performance array-like.
Returns:... | 29.4 | 74 | 0.551344 | 357 | 3,087 | 4.633053 | 0.268908 | 0.033857 | 0.045345 | 0.057437 | 0.299274 | 0.270254 | 0.270254 | 0.259371 | 0.223096 | 0.155985 | 0 | 0.020833 | 0.346939 | 3,087 | 104 | 75 | 29.682692 | 0.799603 | 0.100421 | 0 | 0.282051 | 0 | 0 | 0.021339 | 0 | 0 | 0 | 0 | 0.009615 | 0 | 1 | 0.153846 | false | 0 | 0.038462 | 0.012821 | 0.397436 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37ebc35183b9314a344aaf25eb9e7de4a348916a | 2,149 | py | Python | spacy/tests/tagger/test_lemmatizer.py | TerminalWitchcraft/spaCy | 29adbef095c04e21a691e912671e4ec21082b047 | [
"MIT"
] | 1 | 2018-09-24T17:00:23.000Z | 2018-09-24T17:00:23.000Z | spacy/tests/tagger/test_lemmatizer.py | TerminalWitchcraft/spaCy | 29adbef095c04e21a691e912671e4ec21082b047 | [
"MIT"
] | null | null | null | spacy/tests/tagger/test_lemmatizer.py | TerminalWitchcraft/spaCy | 29adbef095c04e21a691e912671e4ec21082b047 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import unicode_literals
from ...lemmatizer import read_index, read_exc
import pytest
@pytest.mark.models
@pytest.mark.parametrize('text,lemmas', [("aardwolves", ["aardwolf"]),
("aardwolf", ["aardwolf"]),
... | 30.7 | 74 | 0.604467 | 257 | 2,149 | 4.88716 | 0.29572 | 0.071656 | 0.089172 | 0.128185 | 0.539809 | 0.48328 | 0.48328 | 0.324841 | 0.170382 | 0 | 0 | 0.00062 | 0.249884 | 2,149 | 69 | 75 | 31.144928 | 0.778536 | 0.006049 | 0 | 0.365385 | 0 | 0 | 0.106842 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.134615 | false | 0 | 0.057692 | 0 | 0.269231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37ee0cfd689d053055f9512b80721598ce49ab1a | 1,845 | py | Python | AlgoNet2/Helper.py | Bhaney44/AlgorandDevelopment | 309e68337227af879f5c4e92c72156928a39fe32 | [
"MIT"
] | null | null | null | AlgoNet2/Helper.py | Bhaney44/AlgorandDevelopment | 309e68337227af879f5c4e92c72156928a39fe32 | [
"MIT"
] | 1 | 2021-04-24T19:24:05.000Z | 2021-04-28T05:32:40.000Z | AlgoNet2/Helper.py | Bhaney44/AlgorandDevelopment | 309e68337227af879f5c4e92c72156928a39fe32 | [
"MIT"
] | 1 | 2022-01-17T18:00:56.000Z | 2022-01-17T18:00:56.000Z | import numpy as np
from keras.models import Sequential
from keras.layers import LSTM, Dense, Dropout
def visualize_training_results(results):
"""
Plots the loss and accuracy for the training and testing data
"""
history = results.history
plt.figure(figsize=(12,4))
plt.plot(history['val_loss'])
... | 27.954545 | 101 | 0.615176 | 253 | 1,845 | 4.367589 | 0.395257 | 0.031674 | 0.050679 | 0.032579 | 0.161086 | 0.065158 | 0.065158 | 0.065158 | 0.065158 | 0 | 0 | 0.007391 | 0.266667 | 1,845 | 65 | 102 | 28.384615 | 0.809313 | 0.21897 | 0 | 0.146341 | 0 | 0 | 0.071942 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0.02439 | 0.073171 | 0 | 0.170732 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37ef3e58f557478ce40c98955a961b550b4256ca | 14,120 | py | Python | apex/contrib/multihead_attn/self_multihead_attn_func.py | Muflhi01/apex | 79c018776129aad13abeb4ce63d24e1fbb4cd29e | [
"BSD-3-Clause"
] | 6,523 | 2018-04-25T17:35:27.000Z | 2022-03-31T22:49:45.000Z | apex/contrib/multihead_attn/self_multihead_attn_func.py | Muflhi01/apex | 79c018776129aad13abeb4ce63d24e1fbb4cd29e | [
"BSD-3-Clause"
] | 1,100 | 2018-05-18T00:03:34.000Z | 2022-03-30T22:00:33.000Z | apex/contrib/multihead_attn/self_multihead_attn_func.py | Muflhi01/apex | 79c018776129aad13abeb4ce63d24e1fbb4cd29e | [
"BSD-3-Clause"
] | 1,057 | 2018-05-07T13:53:04.000Z | 2022-03-31T09:18:47.000Z | import torch
import torch.nn.functional as F
class SelfAttnFunc(torch.autograd.Function):
@staticmethod
def forward(
ctx,
use_time_mask,
is_training,
heads,
scale,
inputs,
input_weights,
output_weights,
input_biases,
output_biases... | 45.844156 | 133 | 0.590652 | 1,870 | 14,120 | 4.22139 | 0.104813 | 0.03547 | 0.045984 | 0.024829 | 0.634406 | 0.563593 | 0.531796 | 0.49734 | 0.489866 | 0.434887 | 0 | 0.032624 | 0.300992 | 14,120 | 307 | 134 | 45.993485 | 0.767173 | 0.351346 | 0 | 0.353535 | 0 | 0 | 0.007382 | 0 | 0 | 0 | 0 | 0 | 0.010101 | 1 | 0.010101 | false | 0 | 0.010101 | 0 | 0.035354 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37ef3fd76dba247104e4038149d9913b2621526c | 6,481 | py | Python | api/app/reviews/models.py | NikolaSiplakova/Baobab | 180cd3cb492ed47d38ca0b473572fad0ac6f604b | [
"Apache-2.0"
] | null | null | null | api/app/reviews/models.py | NikolaSiplakova/Baobab | 180cd3cb492ed47d38ca0b473572fad0ac6f604b | [
"Apache-2.0"
] | null | null | null | api/app/reviews/models.py | NikolaSiplakova/Baobab | 180cd3cb492ed47d38ca0b473572fad0ac6f604b | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from app import db
from app.utils import misc
class ReviewForm(db.Model):
id = db.Column(db.Integer(), primary_key=True)
application_form_id = db.Column(db.Integer(), db.ForeignKey('application_form.id'), nullable=False)
is_open = db.Column(db.Boolean(), nullable=False)... | 42.084416 | 123 | 0.666101 | 761 | 6,481 | 5.423127 | 0.130092 | 0.073661 | 0.092077 | 0.082384 | 0.497456 | 0.480494 | 0.356433 | 0.348922 | 0.249576 | 0.217834 | 0 | 0.000595 | 0.222651 | 6,481 | 153 | 124 | 42.359477 | 0.818579 | 0 | 0 | 0.233871 | 0 | 0 | 0.06574 | 0.012958 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072581 | false | 0 | 0.024194 | 0.008065 | 0.58871 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37ef5b190722144951d2dc7179cd76d69b1cdbc2 | 3,307 | py | Python | speednet/vae/ConvVae.py | Abhranta/speednet | d15971e946cddc62a644d6a6f3be10a4df5b2ce2 | [
"MIT"
] | 1 | 2021-01-20T14:29:14.000Z | 2021-01-20T14:29:14.000Z | speednet/vae/ConvVae.py | Abhranta/speednet | d15971e946cddc62a644d6a6f3be10a4df5b2ce2 | [
"MIT"
] | null | null | null | speednet/vae/ConvVae.py | Abhranta/speednet | d15971e946cddc62a644d6a6f3be10a4df5b2ce2 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch
from utils import Flatten , Unflatten , weights_init , down_conv , up_conv
class Net(nn.Module):
def __init__(self , num_layers , img_dim , in_chan , act_func , latent_vector_size):
super(Net , self).__init__()
assert act_func in ("ReLU" , "LeakyReLU") , ... | 47.927536 | 133 | 0.556093 | 406 | 3,307 | 4.258621 | 0.204434 | 0.060729 | 0.120301 | 0.127241 | 0.378832 | 0.246964 | 0.178138 | 0.178138 | 0.178138 | 0.161943 | 0 | 0.018833 | 0.341699 | 3,307 | 69 | 134 | 47.927536 | 0.775379 | 0 | 0 | 0.089286 | 0 | 0 | 0.047461 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 1 | 0.089286 | false | 0 | 0.053571 | 0 | 0.232143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37f19f659d9ef143b2408f934266bdcc951f5ade | 73,603 | py | Python | nelpy/utils.py | IsaacBusaleh/nelpy | f2663cf6f028c9bd0e630fbf8a527c236f4e0f41 | [
"MIT"
] | 1 | 2021-01-01T17:59:31.000Z | 2021-01-01T17:59:31.000Z | nelpy/utils.py | IsaacBusaleh/nelpy | f2663cf6f028c9bd0e630fbf8a527c236f4e0f41 | [
"MIT"
] | null | null | null | nelpy/utils.py | IsaacBusaleh/nelpy | f2663cf6f028c9bd0e630fbf8a527c236f4e0f41 | [
"MIT"
] | null | null | null | """This module contains helper functions and utilities for nelpy."""
__all__ = ['spatial_information',
'frange',
'swap_cols',
'swap_rows',
'pairwise',
'is_sorted',
'linear_merge',
'PrettyDuration',
'ddt_asa',
'get_contig... | 37.135721 | 190 | 0.615709 | 9,571 | 73,603 | 4.647163 | 0.113154 | 0.011691 | 0.014029 | 0.007554 | 0.433473 | 0.377018 | 0.340573 | 0.322721 | 0.310895 | 0.293853 | 0 | 0.017809 | 0.287475 | 73,603 | 1,981 | 191 | 37.154467 | 0.830295 | 0.429276 | 0 | 0.371397 | 0 | 0 | 0.065926 | 0.006021 | 0 | 0 | 0 | 0.004038 | 0.007761 | 1 | 0.064302 | false | 0.002217 | 0.025499 | 0.006652 | 0.175166 | 0.001109 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37f1a13e31b524b47983953b4e76242354934ac4 | 23,625 | py | Python | python/paddle/fluid/contrib/slim/quantization/imperative/qat.py | logan-siyao-peng/Paddle | 10a8f3e5c3151c1abb810fba2994cc30e1232bec | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/contrib/slim/quantization/imperative/qat.py | logan-siyao-peng/Paddle | 10a8f3e5c3151c1abb810fba2994cc30e1232bec | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/contrib/slim/quantization/imperative/qat.py | logan-siyao-peng/Paddle | 10a8f3e5c3151c1abb810fba2994cc30e1232bec | [
"Apache-2.0"
] | 1 | 2021-01-17T01:11:45.000Z | 2021-01-17T01:11:45.000Z | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 46.232877 | 114 | 0.600974 | 2,721 | 23,625 | 4.983094 | 0.173098 | 0.011505 | 0.01239 | 0.016815 | 0.344126 | 0.274357 | 0.216093 | 0.19972 | 0.175972 | 0.155542 | 0 | 0.006606 | 0.327238 | 23,625 | 510 | 115 | 46.323529 | 0.846483 | 0.376466 | 0 | 0.149635 | 0 | 0 | 0.096385 | 0.018669 | 0 | 0 | 0 | 0 | 0.032847 | 1 | 0.032847 | false | 0.007299 | 0.058394 | 0 | 0.109489 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37f415fea8c9ac7d7647ab03f1f9ceb7a0593bde | 1,815 | py | Python | sc/northwind.py | elliotgunn/DS-Unit-3-Sprint-2-SQL-and-Databases | c730e2b3e66199226fa7549511cbb7801eb7a694 | [
"MIT"
] | null | null | null | sc/northwind.py | elliotgunn/DS-Unit-3-Sprint-2-SQL-and-Databases | c730e2b3e66199226fa7549511cbb7801eb7a694 | [
"MIT"
] | null | null | null | sc/northwind.py | elliotgunn/DS-Unit-3-Sprint-2-SQL-and-Databases | c730e2b3e66199226fa7549511cbb7801eb7a694 | [
"MIT"
] | null | null | null | import pandas as pd
import sqlite3
from pandas import DataFrame
n_conn = sqlite3.connect('northwind_small.sqlite3')
n_curs = n_conn.cursor()
# What are the ten most expensive items (per unit price) in the database?
query = """
SELECT ProductName, UnitPrice
FROM Product
ORDER BY UnitPrice DESC
LIMIT 10
"""
n_curs.ex... | 22.6875 | 79 | 0.755923 | 278 | 1,815 | 4.877698 | 0.384892 | 0.047935 | 0.053097 | 0.075221 | 0.343658 | 0.29646 | 0.29646 | 0.29646 | 0.270649 | 0.187316 | 0 | 0.009044 | 0.147107 | 1,815 | 79 | 80 | 22.974684 | 0.866925 | 0.349862 | 0 | 0.54717 | 0 | 0 | 0.557461 | 0.059177 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.056604 | 0 | 0.056604 | 0.113208 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37f5b2546c850f56d3d094ea379b377bba04af7c | 2,051 | py | Python | lib/MergeMetabolicAnnotations/utils/CompareAnnotationsUtil.py | jeffkimbrel/MergeMetabolicAnnotations | ec971d114d57942cef73dc2980c8faf48cea7afe | [
"MIT"
] | 1 | 2021-08-04T15:42:46.000Z | 2021-08-04T15:42:46.000Z | lib/MergeMetabolicAnnotations/utils/CompareAnnotationsUtil.py | jeffkimbrel/MergeMetabolicAnnotations | ec971d114d57942cef73dc2980c8faf48cea7afe | [
"MIT"
] | 3 | 2019-02-01T22:14:02.000Z | 2021-02-03T03:16:52.000Z | lib/MergeMetabolicAnnotations/utils/CompareAnnotationsUtil.py | jeffkimbrel/MergeMetabolicAnnotations | ec971d114d57942cef73dc2980c8faf48cea7afe | [
"MIT"
] | 3 | 2018-11-30T21:31:00.000Z | 2021-01-12T16:13:01.000Z | import os
import datetime
import logging
import json
import uuid
from installed_clients.WorkspaceClient import Workspace as Workspace
from installed_clients.KBaseReportClient import KBaseReport
from installed_clients.annotation_ontology_apiServiceClient import annotation_ontology_api
import MergeMetabolicAnnotations.... | 36.625 | 92 | 0.686494 | 235 | 2,051 | 5.685106 | 0.395745 | 0.041168 | 0.04491 | 0.020958 | 0.031437 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002478 | 0.213067 | 2,051 | 55 | 93 | 37.290909 | 0.825279 | 0.016577 | 0 | 0 | 0 | 0 | 0.134558 | 0.038729 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.219512 | 0 | 0.317073 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37f85d17e2772b9092e4ca6adf7715edc27bc547 | 1,168 | py | Python | src/backend/tests/test_game/test_models.py | ToJestKrzysio/TheJungleGame | 904dd4adc937145df2c8c353eb83bec3b5dd1f7e | [
"MIT"
] | null | null | null | src/backend/tests/test_game/test_models.py | ToJestKrzysio/TheJungleGame | 904dd4adc937145df2c8c353eb83bec3b5dd1f7e | [
"MIT"
] | null | null | null | src/backend/tests/test_game/test_models.py | ToJestKrzysio/TheJungleGame | 904dd4adc937145df2c8c353eb83bec3b5dd1f7e | [
"MIT"
] | null | null | null | from unittest.mock import Mock, patch
import numpy as np
from game.models import ValuePolicyModel
def test_predict():
mask = np.zeros((9, 7, 8), dtype=bool)
mask[1, 2, 3] = 1
mask[6, 6, 6] = 1
tensor_mock = Mock()
policy_tensor = np.zeros((9, 7, 8), dtype=float)
policy_tensor[0, 0, 0] = 10... | 27.809524 | 85 | 0.673801 | 174 | 1,168 | 4.298851 | 0.304598 | 0.112299 | 0.016043 | 0.036096 | 0.053476 | 0.040107 | 0 | 0 | 0 | 0 | 0 | 0.061555 | 0.207192 | 1,168 | 41 | 86 | 28.487805 | 0.74622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.037037 | false | 0 | 0.111111 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37fbd663edc97f78d91a3917050b5ae91d7a6023 | 2,191 | py | Python | examples/labs/demo_dmtx.py | yarikoptic/nipy | 749302c7ffa8ea714cc32d405f0df521102bbc6f | [
"BSD-3-Clause"
] | null | null | null | examples/labs/demo_dmtx.py | yarikoptic/nipy | 749302c7ffa8ea714cc32d405f0df521102bbc6f | [
"BSD-3-Clause"
] | null | null | null | examples/labs/demo_dmtx.py | yarikoptic/nipy | 749302c7ffa8ea714cc32d405f0df521102bbc6f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from __future__ import print_function # Python 2/3 compatibility
__doc__ = """
Examples of design matrices specification and and computation (event-related
design, FIR design, etc)
Re... | 30.013699 | 77 | 0.685075 | 315 | 2,191 | 4.634921 | 0.450794 | 0.049315 | 0.036986 | 0.053425 | 0.199315 | 0.189726 | 0.15274 | 0.127397 | 0.127397 | 0.078082 | 0 | 0.050083 | 0.179827 | 2,191 | 72 | 78 | 30.430556 | 0.762382 | 0.120037 | 0 | 0.04 | 0 | 0 | 0.177268 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.12 | 0 | 0.12 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
37fdb024ea14a002f56310787cf60b4ca3d52485 | 36,821 | py | Python | fbpcs/private_computation/test/service/test_private_computation.py | yelixu2/fbpcs | 31b1154bf1a207471fa207a0b0e4c74693f09608 | [
"MIT"
] | null | null | null | fbpcs/private_computation/test/service/test_private_computation.py | yelixu2/fbpcs | 31b1154bf1a207471fa207a0b0e4c74693f09608 | [
"MIT"
] | null | null | null | fbpcs/private_computation/test/service/test_private_computation.py | yelixu2/fbpcs | 31b1154bf1a207471fa207a0b0e4c74693f09608 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from collections import defaultdict
from typing import List, Optional, Tuple
from unittest.mock import ... | 41.558691 | 515 | 0.677222 | 3,786 | 36,821 | 6.189118 | 0.095087 | 0.113691 | 0.064015 | 0.065594 | 0.656111 | 0.599479 | 0.560516 | 0.516388 | 0.483441 | 0.457665 | 0 | 0.005401 | 0.250781 | 36,821 | 885 | 516 | 41.60565 | 0.843984 | 0.084734 | 0 | 0.408276 | 0 | 0.002759 | 0.083955 | 0.059671 | 0 | 0 | 0 | 0.00113 | 0.066207 | 1 | 0.031724 | false | 0 | 0.034483 | 0.002759 | 0.071724 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53090ea45ea4a45cdc2f0069622a80742e35321e | 5,215 | py | Python | indico/modules/oauth/models/applications.py | yamiacat/indico | 754c02cd7cd25bf1eab0ca5f497eb24b135dd51c | [
"MIT"
] | null | null | null | indico/modules/oauth/models/applications.py | yamiacat/indico | 754c02cd7cd25bf1eab0ca5f497eb24b135dd51c | [
"MIT"
] | null | null | null | indico/modules/oauth/models/applications.py | yamiacat/indico | 754c02cd7cd25bf1eab0ca5f497eb24b135dd51c | [
"MIT"
] | null | null | null | # This file is part of Indico.
# Copyright (C) 2002 - 2021 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from uuid import uuid4
from sqlalchemy.dialects.postgresql import ARRAY, UUID
from sqlalchemy.ext.declara... | 31.227545 | 117 | 0.623011 | 625 | 5,215 | 5.0336 | 0.344 | 0.025429 | 0.044501 | 0.020025 | 0.071837 | 0.071837 | 0.071837 | 0.026701 | 0 | 0 | 0 | 0.004796 | 0.280345 | 5,215 | 166 | 118 | 31.415663 | 0.833467 | 0.198082 | 0 | 0.188034 | 0 | 0 | 0.178016 | 0.020185 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0.059829 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530c6ba5f7b617f99321342102c64a175ed1a651 | 6,257 | py | Python | PaddleNLP/unarchived/deep_attention_matching_net/utils/layers.py | FrancisLiang/models-1 | e14d5bc1ab36d0dd11977f27cff54605bf99c945 | [
"Apache-2.0"
] | 3 | 2019-09-05T14:03:42.000Z | 2019-09-09T10:34:35.000Z | PaddleNLP/unarchived/deep_attention_matching_net/utils/layers.py | FrancisLiang/models-1 | e14d5bc1ab36d0dd11977f27cff54605bf99c945 | [
"Apache-2.0"
] | 2 | 2019-06-26T03:21:49.000Z | 2019-09-19T09:43:42.000Z | PaddleNLP/unarchived/deep_attention_matching_net/utils/layers.py | FrancisLiang/models-1 | e14d5bc1ab36d0dd11977f27cff54605bf99c945 | [
"Apache-2.0"
] | 2 | 2018-06-14T13:59:36.000Z | 2018-11-14T12:34:47.000Z | import paddle.fluid as fluid
def loss(x, y, clip_value=10.0):
"""Calculate the sigmoid cross entropy with logits for input(x).
Args:
x: Variable with shape with shape [batch, dim]
y: Input label
Returns:
loss: cross entropy
logits: prediction
"""
logits = fluid.l... | 31.129353 | 94 | 0.546588 | 769 | 6,257 | 4.230169 | 0.180754 | 0.060867 | 0.071934 | 0.080234 | 0.566247 | 0.436213 | 0.373194 | 0.373194 | 0.336305 | 0.336305 | 0 | 0.021292 | 0.354483 | 6,257 | 200 | 95 | 31.285 | 0.784105 | 0.120026 | 0 | 0.395683 | 0 | 0 | 0.022276 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035971 | false | 0 | 0.007194 | 0 | 0.079137 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530c6de530c859b58a3a007a91c54314cf276d8d | 6,896 | py | Python | plugin.video.saltsrd.lite/js2py/translators/jsregexps.py | TheWardoctor/wardoctors-repo | 893f646d9e27251ffc00ca5f918e4eb859a5c8f0 | [
"Apache-2.0"
] | 1 | 2019-03-05T09:38:10.000Z | 2019-03-05T09:38:10.000Z | plugin.video.saltsrd.lite/js2py/translators/jsregexps.py | TheWardoctor/wardoctors-repo | 893f646d9e27251ffc00ca5f918e4eb859a5c8f0 | [
"Apache-2.0"
] | null | null | null | plugin.video.saltsrd.lite/js2py/translators/jsregexps.py | TheWardoctor/wardoctors-repo | 893f646d9e27251ffc00ca5f918e4eb859a5c8f0 | [
"Apache-2.0"
] | 1 | 2021-11-05T20:48:09.000Z | 2021-11-05T20:48:09.000Z | from salts_lib.pyjsparser.pyjsparserdata import *
REGEXP_SPECIAL_SINGLE = {'\\', '^', '$', '*', '+', '?', '.'}
NOT_PATTERN_CHARS = {'^', '$', '\\', '.', '*', '+', '?', '(', ')', '[', ']', '|'} # what about '{', '}', ???
CHAR_CLASS_ESCAPE = {'d', 'D', 's', 'S', 'w', 'W'}
CONTROL_ESCAPE_CHARS = {'f', 'n', 'r', 't',... | 31.488584 | 118 | 0.484049 | 666 | 6,896 | 4.971471 | 0.216216 | 0.097856 | 0.045304 | 0.045908 | 0.319541 | 0.281788 | 0.258532 | 0.224706 | 0.224706 | 0.205678 | 0 | 0.0071 | 0.366879 | 6,896 | 219 | 119 | 31.488584 | 0.75126 | 0.038718 | 0 | 0.318919 | 0 | 0 | 0.060432 | 0 | 0 | 0 | 0 | 0 | 0.027027 | 1 | 0.091892 | false | 0 | 0.005405 | 0.010811 | 0.243243 | 0.005405 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530dbebdee877862aa38a08b696073a86196141c | 4,282 | py | Python | duckdown/handlers/site_handler.py | blueshed/duckdown | e6d0e62d378bd2d9ed0cd5ce4bc7ab3476b86020 | [
"MIT"
] | null | null | null | duckdown/handlers/site_handler.py | blueshed/duckdown | e6d0e62d378bd2d9ed0cd5ce4bc7ab3476b86020 | [
"MIT"
] | null | null | null | duckdown/handlers/site_handler.py | blueshed/duckdown | e6d0e62d378bd2d9ed0cd5ce4bc7ab3476b86020 | [
"MIT"
] | null | null | null | # pylint: disable=W0201, E1101
""" handle request for markdown pages """
import logging
import os
import importlib
from tornado.web import RequestHandler, HTTPError
from tornado.escape import url_escape
from ..utils.converter_mixin import ConverterMixin
from .access_control import UserMixin
from ..utils.nav import nav
... | 33.193798 | 70 | 0.578001 | 529 | 4,282 | 4.542533 | 0.238185 | 0.046608 | 0.024969 | 0.026633 | 0.183937 | 0.089055 | 0.069913 | 0.042447 | 0.042447 | 0.042447 | 0 | 0.007014 | 0.300794 | 4,282 | 128 | 71 | 33.453125 | 0.795591 | 0.094348 | 0 | 0.085106 | 0 | 0 | 0.077187 | 0.020285 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0 | 0.095745 | 0 | 0.255319 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530e6c72942083800f06be0b1704afe86e8b9dd0 | 627 | py | Python | Problemset/binary-search-tree-to-greater-sum-tree/binary-search-tree-to-greater-sum-tree.py | KivenCkl/LeetCode | fcc97c66f8154a5d20c2aca86120cb37b9d2d83d | [
"MIT"
] | 7 | 2019-05-08T03:41:05.000Z | 2020-12-22T12:39:43.000Z | Problemset/binary-search-tree-to-greater-sum-tree/binary-search-tree-to-greater-sum-tree.py | Yuziquan/LeetCode | 303fc1c8af847f783c4020bd731b28b72ed92a35 | [
"MIT"
] | 1 | 2021-07-19T03:48:35.000Z | 2021-07-19T03:48:35.000Z | Problemset/binary-search-tree-to-greater-sum-tree/binary-search-tree-to-greater-sum-tree.py | Yuziquan/LeetCode | 303fc1c8af847f783c4020bd731b28b72ed92a35 | [
"MIT"
] | 7 | 2019-05-10T20:43:20.000Z | 2021-02-22T03:47:35.000Z |
# @Title: 从二叉搜索树到更大和树 (Binary Search Tree to Greater Sum Tree)
# @Author: KivenC
# @Date: 2019-05-15 19:52:08
# @Runtime: 48 ms
# @Memory: 13 MB
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solu... | 24.115385 | 62 | 0.593301 | 84 | 627 | 4.297619 | 0.535714 | 0.058172 | 0.099723 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043182 | 0.298246 | 627 | 25 | 63 | 25.08 | 0.777273 | 0.452951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530ebd58aea0c6b33d05245813f2f54d1c4a046b | 2,058 | py | Python | vine/clone.py | robinson96/GRAPE | f6404ae6ee2933647e515a9480077ab01fb2c430 | [
"BSD-3-Clause"
] | 4 | 2017-04-30T17:08:42.000Z | 2019-11-15T04:44:09.000Z | vine/clone.py | robinson96/GRAPE | f6404ae6ee2933647e515a9480077ab01fb2c430 | [
"BSD-3-Clause"
] | 1 | 2016-02-12T07:51:30.000Z | 2016-02-12T07:51:30.000Z | vine/clone.py | robinson96/GRAPE | f6404ae6ee2933647e515a9480077ab01fb2c430 | [
"BSD-3-Clause"
] | null | null | null | import os
import option
import utility
import grapeMenu
import grapeGit as git
import grapeConfig
class Clone(option.Option):
""" grape-clone
Clones a git repo and configures it for use with git.
Usage: grape-clone <url> <path> [--recursive] [--allNested]
Arguments:
<url> The URL of th... | 30.716418 | 120 | 0.59378 | 208 | 2,058 | 5.826923 | 0.456731 | 0.014851 | 0.024752 | 0.031353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000695 | 0.301263 | 2,058 | 66 | 121 | 31.181818 | 0.842142 | 0.222546 | 0 | 0.05 | 0 | 0 | 0.157963 | 0.019342 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.025 | 0.15 | 0.025 | 0.325 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530f17168f0cbb129e06d1280fd5322946f49710 | 45,589 | py | Python | neo/test/iotest/test_nixio.py | pearsonlab/python-neo | 8915dfe9e55fd3a36be83d820bdd83ab085e9402 | [
"BSD-3-Clause"
] | null | null | null | neo/test/iotest/test_nixio.py | pearsonlab/python-neo | 8915dfe9e55fd3a36be83d820bdd83ab085e9402 | [
"BSD-3-Clause"
] | null | null | null | neo/test/iotest/test_nixio.py | pearsonlab/python-neo | 8915dfe9e55fd3a36be83d820bdd83ab085e9402 | [
"BSD-3-Clause"
] | 1 | 2018-04-13T04:48:48.000Z | 2018-04-13T04:48:48.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2016, German Neuroinformatics Node (G-Node)
# Achilleas Koutsou <achilleas.k@gmail.com>
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted under the terms of the BSD License. See
# LICE... | 39.132189 | 81 | 0.564873 | 4,963 | 45,589 | 5.05138 | 0.114648 | 0.012445 | 0.009334 | 0.012126 | 0.330515 | 0.273753 | 0.230475 | 0.190187 | 0.171879 | 0.15353 | 0 | 0.01171 | 0.331286 | 45,589 | 1,164 | 82 | 39.165808 | 0.810634 | 0.038935 | 0 | 0.233475 | 0 | 0 | 0.042628 | 0.005177 | 0 | 0 | 0 | 0 | 0.099147 | 1 | 0.067164 | false | 0 | 0.022388 | 0.004264 | 0.117271 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
530f7b706908016c5f54e7ff0367363c422ad2e4 | 5,686 | py | Python | lib/taudataNlpTm.py | taudata-indonesia/elearning | 6f9db8b829357cde1ae678255cc251629dfc25d2 | [
"Apache-2.0"
] | 3 | 2020-08-29T04:54:25.000Z | 2021-12-12T08:25:48.000Z | lib/taudataNlpTm.py | taudataid/eLearning | 6f9db8b829357cde1ae678255cc251629dfc25d2 | [
"Apache-2.0"
] | null | null | null | lib/taudataNlpTm.py | taudataid/eLearning | 6f9db8b829357cde1ae678255cc251629dfc25d2 | [
"Apache-2.0"
] | 6 | 2020-07-28T23:46:57.000Z | 2021-09-27T02:22:01.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 28 11:25:43 2019
@author: Taufik Sutanto
taufik@tau-data.id
https://tau-data.id
~~Perjanjian Penggunaan Materi & Codes (PPMC) - License:~~
* Modul Python dan gambar-gambar (images) yang digunakan adalah milik dari berbagai sumber sebagaimana yang telah dicantumkan... | 44.077519 | 185 | 0.657052 | 754 | 5,686 | 4.900531 | 0.376658 | 0.026522 | 0.009743 | 0.007578 | 0.034641 | 0.020839 | 0.009743 | 0.009743 | 0.009743 | 0 | 0 | 0.013815 | 0.236194 | 5,686 | 129 | 186 | 44.077519 | 0.836979 | 0.332219 | 0 | 0.044444 | 0 | 0.011111 | 0.132012 | 0.012331 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144444 | false | 0 | 0.077778 | 0.033333 | 0.344444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53120b489f06aa51d07ee8b517ab0cf190f8e1f9 | 807 | py | Python | counting_capitals.py | m10singh94/Python-programs | a83083044b4a85afcf70c4b7024287a808b01fee | [
"Apache-2.0"
] | null | null | null | counting_capitals.py | m10singh94/Python-programs | a83083044b4a85afcf70c4b7024287a808b01fee | [
"Apache-2.0"
] | null | null | null | counting_capitals.py | m10singh94/Python-programs | a83083044b4a85afcf70c4b7024287a808b01fee | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 21 08:09:31 2020
@author: Shivadhar SIngh
"""
def count_capitals(string):
count = 0
for ch in string:
if ord(ch) >= 65 and ord(ch) <= 90:
count += 1
return count
def remove_substring_everywhere(string, substring):
'''
Remove all o... | 25.21875 | 63 | 0.591078 | 110 | 807 | 4.309091 | 0.472727 | 0.044304 | 0.120253 | 0.084388 | 0.126582 | 0.126582 | 0.126582 | 0.126582 | 0 | 0 | 0 | 0.04028 | 0.292441 | 807 | 32 | 64 | 25.21875 | 0.789842 | 0.275093 | 0 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53122c71e26ce2a712524601aa3f1353a6ea1b32 | 11,576 | py | Python | lib/flows/general/discovery_test.py | nahidupa/grr | 100a9d85ef2abb234e12e3ac2623caffb4116be7 | [
"Apache-2.0"
] | 1 | 2015-02-22T16:05:06.000Z | 2015-02-22T16:05:06.000Z | lib/flows/general/discovery_test.py | nahidupa/grr | 100a9d85ef2abb234e12e3ac2623caffb4116be7 | [
"Apache-2.0"
] | 3 | 2020-09-11T12:54:50.000Z | 2020-09-11T12:55:01.000Z | lib/flows/general/discovery_test.py | nahidupa/grr | 100a9d85ef2abb234e12e3ac2623caffb4116be7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- mode: python; encoding: utf-8 -*-
"""Tests for Interrogate."""
import socket
from grr.client import vfs
from grr.lib import action_mocks
from grr.lib import aff4
from grr.lib import artifact_test
from grr.lib import client_index
from grr.lib import config_lib
from grr.lib import flags
fro... | 40.194444 | 80 | 0.666379 | 1,366 | 11,576 | 5.505857 | 0.239385 | 0.073793 | 0.029783 | 0.021274 | 0.415104 | 0.342641 | 0.282276 | 0.248238 | 0.229624 | 0.205957 | 0 | 0.01912 | 0.218383 | 11,576 | 287 | 81 | 40.334495 | 0.812113 | 0.116621 | 0 | 0.265 | 0 | 0 | 0.091357 | 0.015456 | 0 | 0 | 0 | 0 | 0.225 | 1 | 0.09 | false | 0.01 | 0.06 | 0 | 0.175 | 0.01 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5312934109f52156adbe6f8ebda77f7b1fb3121e | 3,595 | py | Python | practices/20210112/GraphicsView.py | liff-engineer/articles | ad3386ef9cda5083793f485e309a9f85ab36f664 | [
"MIT"
] | 2 | 2020-12-01T06:44:41.000Z | 2021-11-22T06:07:52.000Z | practices/20210112/GraphicsView.py | liff-engineer/articles | ad3386ef9cda5083793f485e309a9f85ab36f664 | [
"MIT"
] | null | null | null | practices/20210112/GraphicsView.py | liff-engineer/articles | ad3386ef9cda5083793f485e309a9f85ab36f664 | [
"MIT"
] | null | null | null | import sys
from PySide2.QtWidgets import QGraphicsView, QGraphicsScene, QApplication
from PySide2.QtCore import *
from PySide2.QtGui import *
class GraphicsView(QGraphicsView):
def __init__(self, parent=None):
super().__init__(parent)
# 画布视图尺寸
self.w = 64000.0
self.h = 32000.0
... | 36.313131 | 99 | 0.638387 | 340 | 3,595 | 6.7 | 0.344118 | 0.024583 | 0.021071 | 0.035558 | 0.199737 | 0.15496 | 0.13784 | 0.13784 | 0.13784 | 0.097454 | 0 | 0.016461 | 0.256467 | 3,595 | 98 | 100 | 36.683673 | 0.835765 | 0.00306 | 0 | 0.128205 | 0 | 0 | 0.008657 | 0.006423 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.051282 | 0 | 0.205128 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5313e0d9c7ffb25cacea29febc7679af1ef4f1a0 | 7,997 | py | Python | tests/propositional/test_natural_deduction.py | ariroffe/logics | fb918ae8cf243a452e5b030f0df17add83f47f8b | [
"MIT"
] | 12 | 2021-03-31T08:12:09.000Z | 2022-03-15T21:36:59.000Z | tests/propositional/test_natural_deduction.py | ariroffe/logics | fb918ae8cf243a452e5b030f0df17add83f47f8b | [
"MIT"
] | null | null | null | tests/propositional/test_natural_deduction.py | ariroffe/logics | fb918ae8cf243a452e5b030f0df17add83f47f8b | [
"MIT"
] | 1 | 2021-03-31T15:14:26.000Z | 2021-03-31T15:14:26.000Z | import unittest
from logics.classes.propositional import Inference, Formula
from logics.classes.propositional.proof_theories import NaturalDeductionStep, NaturalDeductionRule
from logics.utils.parsers import classical_parser
from logics.instances.propositional.natural_deduction import classical_natural_deduction_syste... | 43.227027 | 108 | 0.549456 | 941 | 7,997 | 4.538789 | 0.140276 | 0.069305 | 0.05151 | 0.087567 | 0.620464 | 0.599625 | 0.543667 | 0.45446 | 0.368532 | 0.315617 | 0 | 0.030957 | 0.28098 | 7,997 | 184 | 109 | 43.461957 | 0.702609 | 0.156184 | 0 | 0.244681 | 0 | 0 | 0.046097 | 0 | 0 | 0 | 0 | 0 | 0.244681 | 1 | 0.031915 | false | 0 | 0.053191 | 0 | 0.095745 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5314e40633c46116c596429cdd1af4edda4e5856 | 10,244 | py | Python | src/trusted/validator_arm/dgen_decoder_output.py | cohortfsllc/cohort-cocl2-sandbox | 0ac6669d1a459d65a52007b80d5cffa4ef330287 | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | src/trusted/validator_arm/dgen_decoder_output.py | cohortfsllc/cohort-cocl2-sandbox | 0ac6669d1a459d65a52007b80d5cffa4ef330287 | [
"BSD-3-Clause"
] | 395 | 2020-04-18T08:22:18.000Z | 2021-12-08T13:04:49.000Z | src/trusted/validator_arm/dgen_decoder_output.py | cohortfsllc/cohort-cocl2-sandbox | 0ac6669d1a459d65a52007b80d5cffa4ef330287 | [
"BSD-3-Clause"
] | 338 | 2020-04-18T08:03:10.000Z | 2022-03-29T12:33:22.000Z | #!/usr/bin/python
#
# Copyright (c) 2012 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
"""
Responsible for generating the decoder based on parsed
table representations.
"""
import dgen_opt
import dgen_output
imp... | 31.327217 | 79 | 0.695334 | 1,341 | 10,244 | 5.121551 | 0.234899 | 0.03145 | 0.020384 | 0.022423 | 0.29339 | 0.205009 | 0.187828 | 0.177635 | 0.151718 | 0.145894 | 0 | 0.006318 | 0.196505 | 10,244 | 326 | 80 | 31.423313 | 0.828089 | 0.271964 | 0 | 0.193878 | 0 | 0 | 0.401845 | 0.065116 | 0 | 0 | 0 | 0 | 0.010204 | 1 | 0.020408 | false | 0 | 0.015306 | 0 | 0.061224 | 0.020408 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5314f89fdb3bc7bd293961169b273d8fa69fd14c | 2,985 | py | Python | compose/progress_stream.py | ilinum/compose | d1633d8e9df3c2dd4fa6f562c6b037cfe1af8ddb | [
"Apache-2.0"
] | 1 | 2019-03-06T08:03:18.000Z | 2019-03-06T08:03:18.000Z | compose/progress_stream.py | SeppPenner/compose | 87b25363a385b108066f87570aa5396567585324 | [
"Apache-2.0"
] | 2 | 2021-03-25T21:27:44.000Z | 2021-06-01T21:41:30.000Z | compose/progress_stream.py | SeppPenner/compose | 87b25363a385b108066f87570aa5396567585324 | [
"Apache-2.0"
] | 2 | 2018-07-20T15:52:21.000Z | 2018-12-14T11:54:03.000Z | from __future__ import absolute_import
from __future__ import unicode_literals
from compose import utils
class StreamOutputError(Exception):
pass
def stream_output(output, stream):
is_terminal = hasattr(stream, 'isatty') and stream.isatty()
stream = utils.get_output_stream(stream)
all_events = []
... | 26.651786 | 89 | 0.58794 | 365 | 2,985 | 4.684932 | 0.249315 | 0.049123 | 0.049123 | 0.052632 | 0.201754 | 0.150292 | 0.067251 | 0.045614 | 0 | 0 | 0 | 0.006135 | 0.290117 | 2,985 | 111 | 90 | 26.891892 | 0.800849 | 0.049246 | 0 | 0.233766 | 0 | 0 | 0.098835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051948 | false | 0.012987 | 0.038961 | 0 | 0.181818 | 0.038961 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53180c720a6c468e5a33fc70c5bb3a7936430339 | 808 | py | Python | libs/BIDS.py | GuillermoPerez32/EE2BIDS_backend | 2cab240840e11e227ad60e4c8e17ac9ac87defd4 | [
"MIT"
] | null | null | null | libs/BIDS.py | GuillermoPerez32/EE2BIDS_backend | 2cab240840e11e227ad60e4c8e17ac9ac87defd4 | [
"MIT"
] | null | null | null | libs/BIDS.py | GuillermoPerez32/EE2BIDS_backend | 2cab240840e11e227ad60e4c8e17ac9ac87defd4 | [
"MIT"
] | null | null | null | import os
from bids_validator import BIDSValidator
def validate(bids_directory):
print('- Validate: init started.')
file_paths = []
result = []
validator = BIDSValidator()
for path, dirs, files in os.walk(bids_directory):
for filename in files:
if filename == '.bidsignore':
... | 29.925926 | 81 | 0.613861 | 89 | 808 | 5.426966 | 0.393258 | 0.134576 | 0.068323 | 0.124224 | 0.383023 | 0.229814 | 0.173913 | 0.173913 | 0.173913 | 0 | 0 | 0 | 0.27599 | 808 | 26 | 82 | 31.076923 | 0.825641 | 0.075495 | 0 | 0.157895 | 0 | 0 | 0.092617 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.210526 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
531bf28ae62e80e65e0bf53d63aae0164d547e7c | 696 | py | Python | harmony_tools/core/colors.py | a1fred/guitar_gammas | 9933fe899af7a8e7f490f61d58004bb59f03271c | [
"MIT"
] | 1 | 2021-02-26T03:52:26.000Z | 2021-02-26T03:52:26.000Z | harmony_tools/core/colors.py | a1fred/harmony_tools | 9933fe899af7a8e7f490f61d58004bb59f03271c | [
"MIT"
] | null | null | null | harmony_tools/core/colors.py | a1fred/harmony_tools | 9933fe899af7a8e7f490f61d58004bb59f03271c | [
"MIT"
] | null | null | null | COLOR_BLUE = '\033[0;34m'
COLOR_GREEN = '\033[0;32m'
COLOR_CYAN = '\033[0;36m'
COLOR_RED = '\033[0;31m'
COLOR_PURPLE = '\033[0;35m'
COLOR_BROWN = '\033[0;33m'
COLOR_YELLOW = '\033[1;33m'
COLOR_GRAY = '\033[1;30m'
COLOR_RESET = '\033[0m'
FG_COLORS = [
# COLOR_BLUE,
COLOR_GREEN,
# COLOR_CYAN,
# COLOR_R... | 17.4 | 42 | 0.627874 | 102 | 696 | 4.04902 | 0.352941 | 0.058111 | 0.125908 | 0.09201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101124 | 0.232759 | 696 | 39 | 43 | 17.846154 | 0.672285 | 0.107759 | 0 | 0.083333 | 0 | 0 | 0.187296 | 0.045603 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.208333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
531ccd14367ef1d863f40816ee6edf521bc6c3f6 | 712 | py | Python | Common_Questions/TextBookQuestions/PythonCrashCourse/Chapter_8/8_5.py | tegamax/ProjectCode | 0ed86e227fba50b453c5c4a2596afbadc39a167e | [
"MIT"
] | null | null | null | Common_Questions/TextBookQuestions/PythonCrashCourse/Chapter_8/8_5.py | tegamax/ProjectCode | 0ed86e227fba50b453c5c4a2596afbadc39a167e | [
"MIT"
] | null | null | null | Common_Questions/TextBookQuestions/PythonCrashCourse/Chapter_8/8_5.py | tegamax/ProjectCode | 0ed86e227fba50b453c5c4a2596afbadc39a167e | [
"MIT"
] | null | null | null | '''
8-5. Cities: Write a function called describe_city() that accepts the name of a city and its country.
The function should print a simple sentence, such as Reykjavik is in Iceland. Give the parameter for the country a default value.
Call your function for three different cities, at least one of which is not in the... | 28.48 | 130 | 0.685393 | 103 | 712 | 4.708738 | 0.553398 | 0.074227 | 0.045361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003552 | 0.20927 | 712 | 25 | 131 | 28.48 | 0.857904 | 0.467697 | 0 | 0 | 0 | 0 | 0.398281 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.111111 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
531ce1da9e2ab397f8a8222a28bef7e919e9c968 | 12,383 | py | Python | tests/test_geometry_loader.py | trnielsen/nexus-constructor | 65efb6eedca30250b75f142dd29a46bc909958df | [
"BSD-2-Clause"
] | null | null | null | tests/test_geometry_loader.py | trnielsen/nexus-constructor | 65efb6eedca30250b75f142dd29a46bc909958df | [
"BSD-2-Clause"
] | null | null | null | tests/test_geometry_loader.py | trnielsen/nexus-constructor | 65efb6eedca30250b75f142dd29a46bc909958df | [
"BSD-2-Clause"
] | null | null | null | from nexus_constructor.geometry import OFFGeometryNoNexus
from nexus_constructor.geometry.geometry_loader import load_geometry_from_file_object
from nexus_constructor.off_renderer import repeat_shape_over_positions
from PySide2.QtGui import QVector3D
from io import StringIO
def test_GIVEN_off_file_containing_geometry... | 34.112948 | 132 | 0.622305 | 1,752 | 12,383 | 4.187785 | 0.093037 | 0.110399 | 0.10631 | 0.078779 | 0.675889 | 0.623143 | 0.568488 | 0.540139 | 0.532915 | 0.51915 | 0 | 0.196021 | 0.285634 | 12,383 | 362 | 133 | 34.207182 | 0.633394 | 0.052895 | 0 | 0.518272 | 0 | 0 | 0.328892 | 0 | 0 | 0 | 0 | 0 | 0.063123 | 1 | 0.036545 | false | 0 | 0.016611 | 0 | 0.059801 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
531e5848bd2aa1d173ccaded9dac7c7007b60544 | 1,599 | py | Python | main.py | marcusviniciusteixeira/RPAPython | 8055e7283e6a8dd8910139cbbaa914761e2924f2 | [
"MIT"
] | 1 | 2022-01-23T00:17:05.000Z | 2022-01-23T00:17:05.000Z | main.py | marcusviniciusteixeira/RPAPython | 8055e7283e6a8dd8910139cbbaa914761e2924f2 | [
"MIT"
] | null | null | null | main.py | marcusviniciusteixeira/RPAPython | 8055e7283e6a8dd8910139cbbaa914761e2924f2 | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
import os
import time
import pyautogui
class TelaPython:
def __init__(self):
layout = [
[sg.Text('Usuário',size=(10,0)), sg.Input(size=(20,0),key='usuario')],
[sg.Text('Senha',size=(10,0)), sg.Input(size=(20,0),key='senha')],
[sg.Text('Número',si... | 32.632653 | 127 | 0.579112 | 201 | 1,599 | 4.577114 | 0.338308 | 0.045652 | 0.038043 | 0.048913 | 0.206522 | 0.206522 | 0.206522 | 0.206522 | 0.206522 | 0.128261 | 0 | 0.069364 | 0.242652 | 1,599 | 49 | 128 | 32.632653 | 0.690339 | 0.013759 | 0 | 0.119048 | 0 | 0 | 0.07883 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
531fa48589e0156d08a9e55a80a6582cdc603310 | 810 | py | Python | logistic-regression/plot_binary_losses.py | eliben/deep-learning-samples | d5ca86c5db664fabfb302cbbc231c50ec3d6a103 | [
"Unlicense"
] | 183 | 2015-12-29T07:21:24.000Z | 2022-01-18T01:19:23.000Z | logistic-regression/plot_binary_losses.py | eliben/deep-learning-samples | d5ca86c5db664fabfb302cbbc231c50ec3d6a103 | [
"Unlicense"
] | null | null | null | logistic-regression/plot_binary_losses.py | eliben/deep-learning-samples | d5ca86c5db664fabfb302cbbc231c50ec3d6a103 | [
"Unlicense"
] | 68 | 2016-06-02T15:31:51.000Z | 2021-09-08T19:58:10.000Z | # Helper code to plot binary losses.
#
# Eli Bendersky (http://eli.thegreenplace.net)
# This code is in the public domain
from __future__ import print_function
import matplotlib.pyplot as plt
import numpy as np
if __name__ == '__main__':
fig, ax = plt.subplots()
fig.set_tight_layout(True)
xs = np.linspac... | 23.823529 | 70 | 0.608642 | 130 | 810 | 3.630769 | 0.546154 | 0.033898 | 0.063559 | 0.076271 | 0.131356 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034865 | 0.220988 | 810 | 33 | 71 | 24.545455 | 0.713154 | 0.198765 | 0 | 0 | 0 | 0 | 0.059282 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 0 | 0.176471 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
531fbba3b5ee2b6bc1a9dd51c2d5b53732a600be | 1,243 | py | Python | utils/watch-less.py | K-Fitzpatrick/crop_planner | 2605c0886fd3b4681c2ea3ac5e88e1d8555178f5 | [
"MIT"
] | 91 | 2016-03-15T16:41:41.000Z | 2022-03-25T16:30:09.000Z | utils/watch-less.py | SoaringDragon42/crop_planner | 2605c0886fd3b4681c2ea3ac5e88e1d8555178f5 | [
"MIT"
] | 18 | 2016-03-30T15:01:25.000Z | 2020-03-09T06:17:08.000Z | utils/watch-less.py | SoaringDragon42/crop_planner | 2605c0886fd3b4681c2ea3ac5e88e1d8555178f5 | [
"MIT"
] | 48 | 2016-03-15T16:41:44.000Z | 2022-03-09T21:28:05.000Z | #!/usr/bin/env python3
################################
# Development tool
# Auto-compiles style.less to style.css
#
# Requires lessc and less clean css to be installed:
# npm install -g less
# npm install -g less-plugin-clean-css
################################
import os, time
from os import path
from math import fl... | 23.45283 | 79 | 0.636364 | 169 | 1,243 | 4.538462 | 0.431953 | 0.105606 | 0.084746 | 0.082138 | 0.181226 | 0.067797 | 0.067797 | 0 | 0 | 0 | 0 | 0.004897 | 0.1786 | 1,243 | 53 | 80 | 23.45283 | 0.746327 | 0.174578 | 0 | 0.125 | 0 | 0 | 0.150943 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.3125 | 0.15625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |