blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 2 333 | src_encoding stringclasses 30
values | length_bytes int64 18 5.47M | score float64 2.52 5.81 | int_score int64 3 5 | detected_licenses listlengths 0 67 | license_type stringclasses 2
values | text stringlengths 12 5.47M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
4a4ca9e89a1eb02fe6a7e435deb88d16d400d6c7 | Python | martony38/Catalog-App | /catalog/models.py | UTF-8 | 2,558 | 2.75 | 3 | [] | no_license | #!/usr/bin/env python3
'''Catalog app models.'''
from hashlib import sha256
from os import urandom
from sqlalchemy import (create_engine, Column, ForeignKey, Integer, String,
UniqueConstraint, CheckConstraint)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import re... | true |
bf9ff194e4ce3dfd9d0cca6e808c9996edd98651 | Python | dayo1/dayo123 | /Class Work Wk 7.py | UTF-8 | 4,680 | 3.59375 | 4 | [] | no_license | """
fund = 100000.0
level = input (" Please enter S for Senior, or J for Junior, SH for Sophomore or F for Freshmen: ")
CGPA = float(input("Enter your grade: "))
if level == 'S':
if CGPA >= 3.5:
pay = (0.37 * fund)* 0.15 * CGPA
print ( "Your scholarship amount is ", pay)
elif CGPA > 2.4 and ... | true |
97126e0841c1788db56efa4d2db354e710f0d509 | Python | wolf-project/py-xls-auto | /pyGeneratorReport.py | UTF-8 | 436 | 3.125 | 3 | [
"MIT"
] | permissive | # Generator Script for excel files
# Testing ...
import pandas as pd
import numpy as np
#Ferramenta que cria gráficos após tratar os dados em tabela de um arquivo
# import matploitlib.pyplot as plt
# Definindo a variável com o arquivo Excel a ser utilizado
excel_archive_1 = 'data_science.xlsx'
# Definindo a leitu... | true |
1d89a9345bc81d99d93a02dad803b52810550352 | Python | hwanginbeom/TIL | /algorithms/source/54.greedy.py | UTF-8 | 234 | 2.796875 | 3 | [] | no_license | N = int(input())
nums = list(map(int, input().split()))
result = 0
late = 0
if N == 1:
print(nums[0])
else:
nums.sort()
for i in range(N):
result += (nums[i] + late)
late += nums[i]
print(result)
| true |
c8e50826f006168a6e8e29737f2ffc599c0c6981 | Python | ktrzcin/list-distance | /tests/test_list_distance.py | UTF-8 | 2,390 | 2.828125 | 3 | [] | no_license | import pathlib
import unittest
from contextlib import contextmanager
from unittest.mock import patch
from list_distance import calculate_distance
PATH: str = pathlib.Path(__file__).parent.absolute() / "fixtures/"
@contextmanager
def patched_stdin(filename: str) -> None:
"""
Patch stdin to yield values from ... | true |
93afba7f0f9860eaa81042b15298be77b41d701f | Python | Sohamtilekar21/PythonCodeyoung | /RockPaper.py | UTF-8 | 1,383 | 3.609375 | 4 | [] | no_license | import random
counter=0
while counter==0:
a=["paper","scissors","rock"]
c=random.randint(0,2)
b=a[c]
print("Rock Paper Scissors Game")
print("Rock beats scissors")
print("Scisssors cuts paper")
print("Paper covers rock")
print("Choose 0 for paper , 1 for scissors and 2 for rock... | true |
38c6806e8231374a04762cd484f4378d08c0b202 | Python | MaxFunProger/sudoku | /solver.py | UTF-8 | 4,869 | 2.828125 | 3 | [] | no_license | from random import randint
def initiate():
box.append([0, 1, 2, 9, 10, 11, 18, 19, 20])
box.append([3, 4, 5, 12, 13, 14, 21, 22, 23])
box.append([6, 7, 8, 15, 16, 17, 24, 25, 26])
box.append([27, 28, 29, 36, 37, 38, 45, 46, 47])
box.append([30, 31, 32, 39, 40, 41, 48, 49, 50])
box.append([33, ... | true |
f3689827e8cd9bf826720d1b5f903ecd12286f27 | Python | Slin/ProjectSteve | /Assets/Sprites/Stevelette/genCharackterSheet.py | UTF-8 | 549 | 2.578125 | 3 | [
"MIT"
] | permissive | from PIL import Image as img
import os
import math
files = sorted(filter(lambda str: str[-4:] == ".png" , os.listdir('combo')))
z = float(len(files))
y = math.sqrt(z) * 3. / 4.
x = y * 16. / 9.
x = int(x)
y = int(y)
out = img.new('RGBA', (x * 128, y * 128 ))
for f in range(4):
print ('f: ', f)
... | true |
099b430a568574beef1d784585033e093f433645 | Python | s031199/Backup | /venv/Log_structure.py | UTF-8 | 1,285 | 2.59375 | 3 | [] | no_license | import os, shutil
from datetime import datetime
import traceback
def dateTime():
now = datetime.now()
current_time = str(now.strftime("%Y-%m-%d %H:%M:%S:%f"))
return current_time
def logShowDirectory():
logShowDirectory = dateTime() + " " + os.getcwd() + "\n"
return logShowDirectory
def logCopyFolder():
now = ... | true |
ad564ea297688f1f4213c3b6309cbb80f0f6507f | Python | brookscl/aoc-2020 | /day14.py | UTF-8 | 3,655 | 3.3125 | 3 | [] | no_license | import itertools
import re
from enum import Enum, auto
class Ops(Enum):
MASK = auto()
MEM = auto()
def load_program(file_name):
with open(f"inputs/{file_name}") as f:
raw_lines = f.read().strip().split("\n")
program = []
for line in raw_lines:
op = line[:3]
if op == 'mas... | true |
3ff53a881e0175080f9c2d21f76be34af988ae2d | Python | buyi823/learn_python | /python_exmple/stopwatch_test.py | UTF-8 | 711 | 3.671875 | 4 | [] | no_license | #!/usr/bin/python3
# filename: stopwatch
import time
print('按下回车开始计时，按下 Ctrl + C 停止计时。')
while True:
try:
input()
starttime = time.time()
# Python time time() 返回当前时间的时间戳（1970纪元后经过的浮点秒数）。
print('START')
while True:
print('计时： ', round(time.time() - starttime, 0), ... | true |
cf283d65f3cc449c412c602c5bbd3817615e498d | Python | mnuhurr/freqresp | /fr_simple.py | UTF-8 | 3,600 | 2.984375 | 3 | [] | no_license | '''
simple tool to measure frequency response. generates several sinewaves and measures the maximum amplitude of the
response. more sophisticated methods to come.
'''
import numpy as np
import sounddevice as sd
from tqdm import tqdm
from common import load_config, find_device_id, crop_signal, generate_frequency_ra... | true |
224353e0860a45dc71c62f6d500994427edf0dca | Python | KOSASIH/EMAR-Mini | /Devices/1/Classes/Wheels.py | UTF-8 | 1,511 | 2.515625 | 3 | [
"MIT"
] | permissive | ############################################################################################
#
# Project: Peter Moss COVID-19 AI Research Project
# Repository: EMAR Mini, Emergency Assistance Robot
#
# Author: Adam Milton-Barker (AdamMiltonBarker.com)
# Contributors:
# Title: EMAR Mini Wheels Cl... | true |
ee338a4486e3f6c03c040e27b4628f3f225f1361 | Python | stantontcady/www | /where/models.py | UTF-8 | 8,217 | 2.578125 | 3 | [] | no_license |
from collections import deque
from csv import reader as csv_reader
from datetime import datetime, timedelta
from operator import itemgetter
from typing import Iterable
from dateutil import parser as date_parser
from pandas import concat, read_csv, to_datetime
from pint import UnitRegistry
from pymodm import EmbeddedM... | true |
57f0529583e1ce4ba1dcf16a30bcdd21eb2984fd | Python | JoyceYF/medical-kbqa | /ner_model/evaluate.py | UTF-8 | 5,344 | 3.140625 | 3 | [
"Apache-2.0"
] | permissive | # 构建函数评估模型的准确率和召回率, F1值
def evaluate(idx_of_tokens, labels, predict_labels, id2char, id2tag):
# idx_of_tokens: 代表待评估 的原始样本,shape=[1,seq_len]
# labels: 真实的标签序列,shape=[1,seq_len]
# predict_labels: 模型预测出来的标签序列,即best_path_list_up,shape=[1,seq_len]
# id2char: 代表数字化映射字典
# id2tag: 代表标签的数字换映射字典
# 初始化真实实... | true |
c241f4f1cd7519556fc8e2580550d65629242613 | Python | Ramesh-kumar-S/Boring_Scripts | /files.py | UTF-8 | 166 | 2.90625 | 3 | [] | no_license | with open("/home/ramesh/Motivation.txt") as file:
for line in file:
print(line.upper())
#print(file.readline())
#print(file.read())
#file.close() | true |
a4e9717f4c9fd7be474dd28093428c1b840e56fc | Python | defseg/PyLaut | /pylaut/utils.py | UTF-8 | 1,959 | 3.09375 | 3 | [
"MIT"
] | permissive | from collections.abc import Iterable
import itertools
def breakat(ls, breaks):
slices = []
lastbrk = 0
for brk in breaks:
slices.append(ls[lastbrk:brk])
lastbrk = brk
slices.append(ls[lastbrk:])
return slices
def powerset(iterable):
s = list(iterable)
return itertools.cha... | true |
10497040219e9f511f78683c0a7d33dbcc2ce06a | Python | sammiriche/datacode | /.vscode/exercise12.py | UTF-8 | 482 | 3.625 | 4 | [] | no_license | # 一球从100米高度自由落下，每次落地后反跳回原高度的一半；再落下，求它在第10次落地时，共经过多少米？第10次反弹多高？
# 反弹高度函数
def height(n):
if n == 0:
m = 100
else:
m = height(n-1)*0.5
return m
# 第n次运行距离
def long(height,n):
t = height(n-1)*1.5
lista.append(t)
return t
n = 10
lista =[]
for i in range(1,n+1):
long(height,i)
pri... | true |
977118780356e16e3d946bfad7964ea31e0d4240 | Python | kamilczerwinski22/Advent-of-Code | /main_files/year_2020/day_1/year2020_day1_part1.py | UTF-8 | 2,253 | 4.0625 | 4 | [] | no_license | # --- Day 1: Report Repair ---
# # After saving Christmas five years in a row, you've decided to take a vacation at a nice resort on a tropical island. Surely, Christmas will go on without you.
# #
# # The tropical island has its own currency and is entirely cash-only. The gold coins used there have a little picture of... | true |
b67343db812582f4c7d87fc8dd93e1c3656b9ee1 | Python | EvanHarvill/python | /bincon.py | UTF-8 | 213 | 3.03125 | 3 | [] | no_license | # bincon.py cwc
n = int(input("Input an integer less than 256 : "))
# d(dividend) q(quotient) r(remainder)
d = 128
q = int(n / d)
r = n % d
n = q
print(q,r)
# - - - -
d = d / 2
q = int(n / d)
r = n % d
print(q,r)
| true |
19077cbfa4c407bac5b60e2f7cab004f7a8191ce | Python | yermandy/face-recognition-workflow | /examples/face_alignment.py | UTF-8 | 2,018 | 2.71875 | 3 | [] | no_license | import cv2, time
from skimage import transform as trans
import numpy as np
from detection import detection
# define a video capture object
capture = cv2.VideoCapture(0)
capture.set(cv2.CAP_PROP_FRAME_WIDTH, 200)
# capture.set(3, 200)
capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 200)
# capture.set(4, 200)
ret, frame = capt... | true |
5bac01af15450d22c14fd4e5bf1458d57c0b3a4f | Python | GitH3ll/eyazis | /l2/lab2.py | UTF-8 | 4,184 | 3.0625 | 3 | [] | no_license | from bs4 import BeautifulSoup
import time
from tkinter import filedialog
from tkinter import messagebox
from tkinter import *
def distance(a, b):
"""Calculates the Levenshtein distance between a and b."""
n, m = len(a), len(b)
if n > m:
# Make sure n <= m, to use O(min(n, m)) space
... | true |
72783e903df80b03de4c2dda0c04edab8130005a | Python | Youssefares/statshousery | /utils/statsbomb/stats.py | UTF-8 | 6,690 | 2.53125 | 3 | [
"MIT"
] | permissive | from collections import defaultdict
import pandas as pd
def player_90s(substitutions, starting_xis, half_ends):
player_90s = defaultdict(lambda: 0)
for index, starting_xi in starting_xis.iterrows():
for player in starting_xi.lineup:
player_name = player['player']['name']
for period in range(1... | true |
434968d15bac2089e7a554684839d0dc48bf0a84 | Python | DomoKrch/PP2-uni- | /tsis_6/4.py | UTF-8 | 65 | 3.15625 | 3 | [] | no_license | s = input()
for i in s[::-1]:
print(i, end = '')
print('')
| true |
62e5c78f0e57a0a66a46675858dbf3a6cb0b3240 | Python | yprodev/python_ads | /recursion/exponential_iter.py | UTF-8 | 63 | 3.46875 | 3 | [] | no_license | def exp(x, n):
y = 1
for i in range(n):
y *= x
return y
| true |
72d6bb8f14513581d4c899594882ccc1bf15173f | Python | FilSta/Tichu | /gym-tichu/gym_tichu/envs/internals/tichu_state.py | UTF-8 | 46,587 | 2.65625 | 3 | [
"MIT"
] | permissive | import abc
from collections import namedtuple, OrderedDict
from typing import Collection, Optional, Union, Iterable, Tuple, Generator, Set, Dict, List, Any, Callable
from profilehooks import timecall
import logging
import itertools
import random
from .actions import pass_actions, tichu_actions, no_tichu_actions, pl... | true |
5bd1ae30a49ec841348248db428b854f5d78c1bb | Python | wuljchange/interesting_python | /part-struct/unpack-value2.py | UTF-8 | 472 | 3.375 | 3 | [
"MIT"
] | permissive | records = [('foo', 1, 2),
('bar', 'hello'),
('foo', 3, 4),
]
def drop_first_last(grades):
_, *middle, _ = grades
return middle
def do_foo(x, y):
print('foo', x, y)
def do_bar(s):
print('bar', s)
if __name__ == "__main__":
for tag, *args in records:
pr... | true |
b78023ddb171cc09e0a42c25d99816a9f7f19981 | Python | RiiVa/Harbor_Simulation | /Main.py | UTF-8 | 7,663 | 2.734375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 23 16:54:00 2019
@author: RiiVa
"""
from Math import Math
from Events import EventManager
from Dock import Tug,Ship,Dock_Harbor_Manager
events = {}
#LLega un barco al puerto
events['ARRIVE'] = 1
#Termina de cargar el barco en el muelle
events['LOADING'] = 2
... | true |
dbe7d37970a0accc59143c4211b032c97832b635 | Python | mrlesmithjr/terraform-to-ansible | /terraform_to_ansible/parser.py | UTF-8 | 4,593 | 2.96875 | 3 | [
"MIT"
] | permissive | """terraform_to_ansible/parser.py"""
import json
import logging
import os
import subprocess
import sys
class Parser:
"""Main Terraform tfstate parser."""
def __init__(self, args):
"""Init a thing."""
# Define dictionary to hold all parsed resources
self.all_resources = {}
#... | true |
2bee69a346974b4ee73d8e7cb1c40d82640ce870 | Python | yalun-zheng/QM-MM_model | /rfo_cmp.py | UTF-8 | 2,284 | 2.921875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
#define a loss function
def loss(x):
return (x/2)**-12-2*(x/2)**-6
def gradient(x):
return -12*(x/2)**-13*0.5+12*(x/2)**-7*0.5
#RFO
def RFOstep(curr_hess = 1, curr_grad = 0, lr=0):
#First build augmented Hessian matrix
lastrow = np.append(curr_grad, ... | true |
5a2ad9a838f3d7c61effb8172a71abc6a76962cd | Python | Aasthaengg/IBMdataset | /Python_codes/p03779/s457719314.py | UTF-8 | 76 | 2.84375 | 3 | [] | no_license | from math import ceil, sqrt
X = int(input())
print(ceil((-1+sqrt(1+8*X))/2)) | true |
347c4e4e97af3a9abc0fa17cff7d6da2b435cb4f | Python | ashiksmd/scripts | /rulesTokenizer.py | UTF-8 | 1,802 | 3.234375 | 3 | [] | no_license | import re;
scanner = re.Scanner([
(r"\$[A-Za-z_]\w*", lambda scanner, token: ("VARIABLE", token[1:])),
(r"\(", lambda scanner, token: ("GROUP_OPEN", token)),
(r"\)", lambda scanner, token: ("GROUP_CLOSE", token)),
(r"\[", lambda scanner, token: ("SQ_GROUP_OPEN", token)),
(r"\]", lambda scanner, tok... | true |
8e165091e3907f0e4dc4b8b9396b0f57a7d5bc6c | Python | Nick-Zhang1996/spinvtol | /dummyController.py | UTF-8 | 506 | 2.640625 | 3 | [] | no_license | # sample controller
# vicon_list: list of 5 previous vicon states (3 element tuple)
# [(x,y,z,rx,ry,rz),(x,y,z ....]
# Return:
# thrust_N, flap_rad
def expControl(vicon_list):
state1 = vicon_list[0]
return (3000,0.1)
def cvt2pwm(thrust_N,flap_rad,voltage):
# from fittravel.py
flapP... | true |
1628a8b1a4f5206a528c10f236419d13f1e8493c | Python | naomijub/progressoes-python | /aritimetica.py | UTF-8 | 225 | 3.5 | 4 | [] | no_license | #!/usr/bin/python3
def sum(a1, step, n):
sum = 0
for i in range(n):
sum += a1 + (step * i)
return sum
def nvalue(a1, step, n):
return a1 + ((n - 1) * step)
print(nvalue(1,1,10))
print(sum(1,1,10))
| true |
828573824a537aed722072362e950ffea2a64752 | Python | banya100/temp_project | /temp.py | UTF-8 | 558 | 3.484375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from time import sleep
print("프로젝트 파일 작성의 모범 답안입니다.")
def process_data(data):
print("1단계: 데이터 전처리 함수를 실행합니다. ")
modified_data = "3단계: " + data + "가 수정 완료 되었습니다."
sleep(3)
print("2단계: 데이터 전처리가 끝났습니다.")
return modified_data
def main():
data = "빅쿼리에서 온 데이터"
print(data... | true |
fa0de0a3c76df941e74965c27af1f5f759fb4ec0 | Python | Chege-Simon/learning-python | /displayInventory.py | UTF-8 | 337 | 3.46875 | 3 | [] | no_license | stuff = {'arrow' : 12, 'rope' : 1, 'gold coin' : 42,
'torch' : 6, 'dagger' : 1}
def display(inventory):
print("Inventory: ")
item_total = 0
for k, v in inventory.items():
item_total += v
print(str(v) + " " + k)
print("Total number of items is: " + str(item_total))... | true |
3a2fa7f3600f285bf67841efce6d3482c9c7ba78 | Python | uycuhnt2467/Leetcode | /array/795.py | UTF-8 | 1,861 | 3.296875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 5 00:04:10 2021
@author: a8520
"""
class Solution:
def numSubarrayBoundedMax(self, arr, l, r):
if not arr:
return -1
i = 0
cum_r = 0
cur_total = 0
while i < len(arr) + 1:
if i == len(... | true |
ee549c3db7b852f70a02204da492ae4c443c2a42 | Python | muzhen321/FPIR17 | /pir_h2.py | UTF-8 | 3,573 | 3.640625 | 4 | [] | no_license | #! /usr/bin/python
# -*- coding: utf-8 -*-
"""MLE for the multinomial distribution."""
import heapq
from argparse import ArgumentParser
from collections import Counter
def get_words(file_path):
"""Return a list of words from a file, converted to lower case."""
with open(file_path, encoding='ut... | true |
69ae948b8dd4d582c723abc89af601002a73de7f | Python | rootcoma/imageglitch | /shader_filters/filter_scanlines.py | UTF-8 | 2,648 | 2.640625 | 3 | [
"MIT"
] | permissive | from shader_filter import ShaderFilter
VERT_SOURCE = """
#version 330
uniform float rand;
uniform int frame;
in vec2 vert_coord;
in vec2 vert_tex_coord;
out vec2 frag_tex_coord;
void main()
{
frag_tex_coord = vert_tex_coord;
gl_Position = vec4(vert_coord, 0.0, 1.0);
}"""
FRAG_SOURCE = """
#ver... | true |
76975f3518c15d894cd45036408d4f517e42fdd2 | Python | Ivan270991/homework2 | /spisok.py | UTF-8 | 190 | 3.109375 | 3 | [] | no_license | s = [16, -17, 2, 78.7, False, False, {"True": True}, 555, 12, 23, 42, "DD"]
def spisok(x):
return type(x) is int or type(x) is float
s=sorted(list(filter(spisok,s)))
print(s)
| true |
8020173d27c947ab24fae291f4c3c22747681fd6 | Python | pedrocarvalhoaguiar/SinglyLinkedList | /list.py | UTF-8 | 3,630 | 3.515625 | 4 | [
"MIT"
] | permissive | from node import Node
# create list class
class LinkedList():
def __init__(self):
self.head = None
self.__size = 0
def append(self, value):
pointer = self.head
if not pointer:
self.head = Node(value)
else:
while pointer.next:
p... | true |
3e0d3b2d19fb917ff9d8df482ebeff14d8156dcf | Python | skidne/labs_MS | /lab1/problem5/collision.py | UTF-8 | 1,308 | 3.21875 | 3 | [] | no_license | ################################################################################
#---------------- ####### ---- ## ---- ####### --------------------------------#
#---------------- ## ------- ##--## ------- ## ---------------| FAF-161 |--#
#---------------- ##### --- ######## --- ##### ---------------| Gore-Polina |... | true |
491c38a8b09bfccb81b4310a0897cb539e636a7e | Python | SabrinaAzar97/ImageProject | /python GUI/steganographyGUI.py | UTF-8 | 3,886 | 2.609375 | 3 | [] | no_license | import Tkinter as Tkr
from tkFileDialog import askopenfilename as OpenFile
from Tkinter import Tk
from PIL import ImageTk, Image
import sys as System
class OmarsButtons:
def __init__(self, master):
frame = Tkr.Frame(master, bg="#4682B4")
frame.pack()
frame.pack_propagate(0)
frame.p... | true |
ee424281bc237291b22620de0bb471b7ffa4a133 | Python | xinzzzhou/crispr_bedict_reproduce | /train/demonstration.py | UTF-8 | 1,953 | 2.546875 | 3 | [
"MIT"
] | permissive | '''
Process more data
Author: Xin Zhou
Date: 17 Sep, 2021
'''
import argparse
from criscas.utilities import create_directory, get_device, report_available_cuda_devices
from criscas.predict_model_training import *
def parse_args():
parser = argparse.ArgumentParser(description="Train crispr.")
parser.add_argumen... | true |
56a1e7b5f4585c77762ce707d05db3d8e7a63585 | Python | DikranHachikyan/python-20201012 | /ex49.py | UTF-8 | 449 | 3.78125 | 4 | [] | no_license | def suma(a, b):
return a + b
if __name__ == '__main__':
actions = {
'+': suma
}
try:
a = int(input('value of a(int):'))
op = input('Enter +, -, *, /:')
b = int(input('value of b(int):'))
print(f'{a} {op} {b} = {actions[op](a,b)}')
except ValueError:
... | true |
4a49f192bf8ec44fc1b604ee77036d1b8dae8dcf | Python | nulijiushimeili/python_training | /training/单继承.py | UTF-8 | 1,036 | 4.15625 | 4 | [] | no_license | class Cat:
name = "cat"
def __init__(self, name, color="white"):
self.name = name
self.color = color
# 定义类方法
@classmethod
def jump(cls):
print("{} jump".format(cls.name))
print("The cat jume to the wall")
def run(self):
print("{} is runing ...".format(s... | true |
7c62233ae39aa34537ea32fa6a2899ad683a35e1 | Python | sampittko/tuke-beautofuel | /src/updater/app/lib/packages/vehicle_eco_balance/consumption.py | UTF-8 | 9,403 | 3.140625 | 3 | [
"MIT"
] | permissive | import numpy as np
from .utils import calc_efficiency
class ConsumptionPhys:
""" Physical (load-based) consumption model.
It is based on "Stefan Pischinger und Ulrich Seiffert. Vieweg Handbuch Kraftfahrzeugtechnik. Springer, 2016." (page 62)
Parameters
----------
consumption_type: str
'en... | true |
5c061e4ba75d073a39232b0256c69ecad67e4168 | Python | crsanderford/Intro-Python-II | /src/player.py | UTF-8 | 1,442 | 3.921875 | 4 | [] | no_license | # Write a class to hold player information, e.g. what room they are in
# currently.
class Player:
def __init__(self, name, current_room, inventory=[]):
self.name = name
self.current_room = current_room
self.inventory = inventory
def move(self, string):
control_mapping = {
... | true |
9f8e5ccb7aab704e96f9ba35ae7517fa23942078 | Python | SaiSujithReddy/CodePython | /FindPalindrome_v1.py | UTF-8 | 326 | 3.75 | 4 | [] | no_license |
def find_palindrome(string):
print("String is ", string)
if string == "":
return True
if len(string) == 1:
return True
else :
if string[0] == string[len(string)-1]:
return find_palindrome(string[1:len(string)-1])
return False
print(find_palindrome("ABCDEFDCB... | true |
475241e419acb0bd9b4859dbb6f513657cbaa7a1 | Python | tranphibaochau/LeetCodeProgramming | /Medium/house_robber.py | UTF-8 | 600 | 2.96875 | 3 | [] | no_license | from collections import namedtuple
Task = namedtuple('Task', ['summary', 'owner', 'done', 'id'])
Task.__new__.__defaults__= (None, None, False, None)
def test_func():
t1 = Task()
t2 = Task(None, None, False, None)
assert t1 == t2
def test_member_access():
t = Task('buy milk', 'brian')
assert t.sum... | true |
d55e62c5637f2ff942a2ef474c72803fde05dc67 | Python | ZodiacSyndicate/leet-code-solutions | /easy/20.有效的括号/20.有效的括号.py | UTF-8 | 1,263 | 3.40625 | 3 | [] | no_license | #
# @lc app=leetcode.cn id=20 lang=python3
#
# [20] 有效的括号
#
# https://leetcode-cn.com/problems/valid-parentheses/description/
#
# algorithms
# Easy (36.24%)
# Total Accepted: 44.5K
# Total Submissions: 122.7K
# Testcase Example: '"()"'
#
# 给定一个只包括 '('，')'，'{'，'}'，'['，']' 的字符串，判断字符串是否有效。
#
# 有效字符串需满足：
#
#
# 左括号必须用相同... | true |
f85154bbe9b465002bcfbf340f0788fae35e77a1 | Python | MeLight/tiny-server | /http_server.py | UTF-8 | 2,667 | 2.6875 | 3 | [] | no_license | import socket
import time
import urllib
import re
import os
LISTEN_SOCKET = 20959
WWW_DIR = 'www'
def headers2json(str):
req_decoded = urllib.unquote(request).decode('utf8')
arr = req_decoded.split('\r\n')
request_line = arr.pop(0)
#print(arr)
return (request_line, arr,)
def getTemplateString(filename):
with o... | true |
48b73900d1c0aa13a059ab1a01175a3a164dae94 | Python | TyroneWilkinson/Python_Practice | /dayOfProgrammer.py | UTF-8 | 1,451 | 4.625 | 5 | [] | no_license | def dayOfProgrammer(year):
"""
Given a year, determines the date of the 256th day of the year,
the "Day of the programmer," according to the Russian calendar.
Note:
From 1700 to 1917 Russia's calendar was the Julian calendar.
-The leap year was a year divisible by four.
After 1918 Russi... | true |
e82f21d28d82105a9d75249c1b05f3abba80f459 | Python | Zhuo-Ren/event_entity_coref_ecb_plus | /src/features/create_elmo_embeddings.py | UTF-8 | 1,037 | 3 | 3 | [] | no_license | import logging
import numpy as np
from allennlp.commands.elmo import ElmoEmbedder
logger = logging.getLogger(__name__)
class ElmoEmbedding(object):
'''
A wrapper class for the ElmoEmbedder of Allen NLP
'''
def __init__(self, options_file, weight_file):
logger.info('Loading Elmo ... | true |
a4bdbbc2fa8288cf0115481566c00d3572b11764 | Python | aaron-parsons/nexusformat | /src/nexusformat/nexus/plot.py | UTF-8 | 6,657 | 2.671875 | 3 | [
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------
# Copyright (c) 2013, NeXpy Development Team.
#
# Author: Paul Kienzle, Ray Osborn
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING, dist... | true |
adb620989b4cf9c8b0e364c74d370483ac9150ba | Python | radhac88/SMNS | /shiva/python exercises/exercise2.py | UTF-8 | 290 | 4.03125 | 4 | [] | no_license | print("enter two numbers ")
a = int(input("enter value of a:"))
b = int(input("enter value of b:"))
print("if both values are equal it will returns sum else it will return's double their sum ")
def sum_double(a,b):
if(a==b):
print(2*a + 2*b);
elif(a!=b):
print(a+b);
sum_double(a,b)
| true |
3a19c3ba6208408026c99d64965dcb7983625946 | Python | nainy05/NLP-Basics | /tfidf_model.py | UTF-8 | 3,682 | 3.140625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 18 17:24:07 2020
@author: naijain
"""
import heapq
import re
import nltk
import numpy as np
paragraph = """Thank you all so very much. Thank you to the Academy.
Thank you to all of you in this room. I have to congratulate
... | true |
2fd34a2846d996fec927700dc5964f02fa688a67 | Python | mirca/gammapy | /docs/tutorials/crab_mwl_sed/crab_mwl_sed.py | UTF-8 | 1,120 | 2.921875 | 3 | [
"BSD-3-Clause"
] | permissive | """Plot Crab pulsar and nebula spectral energy distribution (SED)."""
import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u
from gammapy.datasets import load_crab_flux_points
from gammapy.spectrum import CrabSpectrum
# Plot flux points
for component in ['pulsar', 'nebula']:
table = load_crab... | true |
7666114803ef74ab400b7ee27bb9a0b92a88d971 | Python | andrelima19/Projetos_Python | /Developer/Python_Definitivo/Exercícios/Listas/84b.py | UTF-8 | 1,171 | 4.28125 | 4 | [] | no_license | #Exercício Python 084: Faça um programa que leia nome e peso de várias pessoas,
# guardando tudo em uma lista. No final, mostre:
# A) Quantas pessoas foram cadastradas.
# B) Uma listagem com as pessoas mais pesadas.
# C) Uma listagem com as pessoas mais leves.
grupo_pessoas = []
pessoas = []
mais_pesados = []
mais_... | true |
c8d43294fce64931a25e3882cc9ef97f8e0b3bea | Python | daniel-reich/ubiquitous-fiesta | /2NPjN7DDvyi6f5CHF_24.py | UTF-8 | 131 | 3.515625 | 4 | [] | no_license |
def age_difference(f_age, s_age):
i=0
while 2*(s_age+i)!=(f_age+i) and 2*(s_age-i)!=(f_age-i):
i+=1
return i
| true |
0ca9b94d0b98e50eb4a6cc297a1cc39265c8ce8c | Python | cgrambow/parsePrIMe | /classes.py | UTF-8 | 8,706 | 2.953125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import cirpy
from rmgpy.molecule import Molecule
from rmgpy.species import Species
from rmgpy.reaction import Reaction
class ConversionError(Exception):
"""
An exception class for errors during name to structure conversion.
"""
pass
class StoichiometryE... | true |
cd3372acfb3993c9660ea967347706951257ca00 | Python | 0tushar0/tictactoe | /model.py | UTF-8 | 2,148 | 4.125 | 4 | [] | no_license | # model stores board position and checks win condition
import numpy as np
class Model():
def __init__(self):
self.__board = np.array([['1','2','3'],['4','5','6'],['7','8','9']])
def update(self, row, col, pos):
if self.__board[row][col] != 'x' and \
self.__board[row][col] != '... | true |
e52efe3d7cb07e4bc60c3bd5bdeeb8297fb70c7d | Python | JanaSabuj/Coursera-Getting-started-with-python-Dr-Chuck-Michigan | /Michigan-Python/ex5.py | UTF-8 | 324 | 3.296875 | 3 | [] | no_license | fname = input('Enter the file name')
fhandle = open(fname)
cnt = 0
for line in fhandle:
if not line.startswith('From '): continue
line = line.rstrip()
words = line.split()
email = words[1]
print(email)
cnt = cnt + 1
print('There were {} lines in the file with From as the first word'.format(cnt... | true |
77f5936f0c190194314014df0b2b3b0319ed6176 | Python | INM-6/Python-Module-of-the-Week | /session28_ModernPython/GeneratorExpression.py | UTF-8 | 135 | 3.09375 | 3 | [
"MIT"
] | permissive | s = sum([i**2 for i in range(3)])
print(s)
s = sum(i**2 for i in range(3))
print(s)
d = dict((i, i % 7) for i in range(12))
print(d)
| true |
5b8d28a2f163be99bd378dae0d75b030bb9bf48a | Python | byee4/rbp-maps | /maps/density/matrix.py | UTF-8 | 22,973 | 2.84375 | 3 | [] | no_license | #!/bin/env python
"""
Created on Jun 18, 2016
This module contains functions for creating a dataframe from a list of
event features. Each function will require: 1) an annotation file to generate
an event-specific Feature, 2) a ReadDensity object containing RPM-normalized
read densities for a particular RBP, and call ... | true |
8df2108b0c818eca52affb000302c745812ae9d4 | Python | soundaraj/practicepython.org | /file overlap.py | UTF-8 | 338 | 3.21875 | 3 | [] | no_license | file1 = open("happynumbers.txt",'r')
file2 = open("primenumbers.txt",'r')
a = []
b = []
c = []
f1 = file1.readline()
f2 = file2.readline()
while f1:
a.append(int(f1))
f1 = file1.readline()
while f2:
b.append(int(f2))
f2 = file2.readline()
for i in a:
if i in b:
c.append(i)
pr... | true |
9f118af1018772c62cd720e2742edb7890a3a83d | Python | vincenttuan/Python20210713 | /day08/LambdaDemo1.py | UTF-8 | 792 | 3.859375 | 4 | [] | no_license | def check_score(score):
if score >= 60:
return "Pass"
else:
return "Fail"
if __name__ == '__main__':
score = 80
result = check_score(score)
# result 就僅僅只是一個結果
print(score, result)
#-----------------------------------------------
score = 80
result = "Pass" if score >=... | true |
652b069606f3b75484871594dcb4c9fe860b000a | Python | thiagomanel/intrusiveness-meter | /IntrusivenessMeter/data_processor/to_pure_data.py | UTF-8 | 505 | 2.578125 | 3 | [] | no_license | #
# Federal University of Campina Grande
# Distributed Systems Laboratory
#
# Author: Armstrong Mardilson da Silva Goes
# Contact: armstrongmsg@lsd.ufcg.edu.br
#
#
# This program removes the header and tail of the result files
# generated by the scripts of data_collector, so the data can be
# used as input for progra... | true |
6280ceb9b21ca0af76292ed495156f73e3ab2511 | Python | yuchun921/CodeWars_python | /8kyu/Lario_and_muigi_pipe_problem.py | UTF-8 | 120 | 2.65625 | 3 | [] | no_license | def pipe_fix(nums):
arr = []
for i in range(nums[0], nums[len(nums)-1]+1):
arr.append(i)
return arr
| true |
0c1fe610910ded5665a0521669a539e20260e75e | Python | Clebom/exercicios-livro-introd-prog-python-3ed | /capitulo-04/ex09.py | UTF-8 | 994 | 4.40625 | 4 | [
"MIT"
] | permissive | # Escreva um programa para aprovar um empréstimo bancário para compra de uma casa
# O programa deve perguntar o valor da casa a comprar, o salário e a quantidade de anos a pagar
# O valor da prestação mensal não pode ser superior a 30% do salário
# Calcule o valor da prestação como sendo o valor da casa a comprar divid... | true |
a99617379f7bcad7543f3e3ac66dbad3327df150 | Python | xenten9/game-x | /main/manual tests/tester.py | UTF-8 | 4,277 | 2.703125 | 3 | [
"Unlicense"
] | permissive | """Game-X Level testing tool."""
printer = ["\033[36m# Game-X tester.py"]
import sys
from os import getcwd, path
# Add root of executable
if getattr(sys, "frozen", False):
root = path.dirname(sys.executable)
if root not in sys.path:
printer.append(f"adding path: {root}")
sys.path.insert(0, roo... | true |
8273400ff6e660ce9c7be34da48e8b57829acb76 | Python | ebilionis/principal-agent-systems-engineering | /sepdesign/_individual_rationality.py | UTF-8 | 7,115 | 2.78125 | 3 | [
"MIT"
] | permissive | """
Everything related to the individual rationality constraints.
"""
__all__ = ['IndividualRationality']
import theano
import theano.tensor as T
import scipy.optimize as opt
import numpy as np
from sepdesign._types import AgentType
from sepdesign._transfer_functions import TransferFunction
class IndividualRatio... | true |
cdbfb92e4e656fa30431141d77d6a9e81bdd95bf | Python | QianErGe/hello | /time_zone.py | UTF-8 | 717 | 2.796875 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding=utf-8 -*-
from datetime import timedelta
from pytz import timezone
import pytz
import time
import datetime
import sys
# 根据时间戳与时区值 返回此时间戳在此时区下的时间
def get_time( ts, time_zone ):
print("current ts:", ts)
str_tz = 'Etc/GMT' + time_zone
dd = dt.fromtimestamp(ts, pytz.timezone('Etc/... | true |
b2ddaae303d072eb9cd8c0ee8a6302117092a42e | Python | terratenney/BigDataAlgorithm | /hw5/HW5code/ItemBased.py | UTF-8 | 8,259 | 2.953125 | 3 | [] | no_license | from __future__ import print_function
import sys
from pyspark import SparkContext
from itertools import combinations
import numpy as np
import time
import math
def get_ratings_tuple(entry):
""" Parse a line in the ratings dataset
Args:
entry (str): a line in the ratings dataset in the form of UserID::M... | true |
3167ca0dac521f5ecdd0dc17836422ba4cf40307 | Python | NerdvanaNC/D-DGame | /Engine.py | UTF-8 | 516 | 2.828125 | 3 | [] | no_license | import Map
class Engine(object):
def start_game(self, opening_scene):
game_map = Map.Map()
next_scene = game_map.return_scene_obj(opening_scene)
current_scene = game_map.return_scene_obj(opening_scene)
next_scene = next_scene.enter()
hero = current_scene.return_hero_obj()
while True:
i... | true |
4940d9fd15c47fb5b767e7f085167807722f1862 | Python | gnat79/char2 | /char2.py | UTF-8 | 5,728 | 3.21875 | 3 | [] | no_license | # This file is part of char2.
# char2 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 2 of the License, or
# (at your option) any later version.
#
# char2 is distributed in the hope that it wil... | true |
e3a25e330a5b7e487e6230b846b687f88a7aed59 | Python | engeir/BM_rocket_sim | /plotter.py | UTF-8 | 13,558 | 2.75 | 3 | [] | no_license | """Script that makes plot of the historical data obtained through all runs.
"""
import os
import glob
import ast
import matplotlib.pyplot as plt
import numpy as np
import config as cf
from main import FindFiles
class ProbeDesign(FindFiles):
"""Find the design of the Hedin detector design.
Arguments:
... | true |
3273701707497d954cf2d68ffba69ae0a5967ed4 | Python | Moguf/cluster_pscripts | /calc_dist_dcd.py | UTF-8 | 2,444 | 2.765625 | 3 | [] | no_license | #!/usr/bin/env python
import argparse
import json
import sys
import numpy as np
from dcdfile import DcdFile
class CalcDist:
def __init__(self):
self.inputfile=''
self.atom1=0
self.atom2=0
self.natoms=0
self.stepsize=1
self.deltalist=[]
self.result={}
... | true |
80ca24693e8b20fd85fb81a16cd1c651b0d4c29c | Python | yamadayoshi/deep_learning | /games/games_regressao.py | UTF-8 | 1,941 | 2.84375 | 3 | [] | no_license | import pandas as pd
import numpy as np
from keras.layers import Dense, Dropout, Activation, Input
from keras.models import Model
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
dataset = pd.read_csv('games.csv')
dataset = dataset.drop('Other_Sales', axis= 1)
dataset = dataset.drop('Global_Sales', axis= ... | true |
61a226499148e56f288f7f9901df2aa1b68df966 | Python | YellowruiAccount/Arctic_codes | /equation_test_area.py | UTF-8 | 5,327 | 2.8125 | 3 | [] | no_license | #!/usr/bin/env python
"""
"""
import sys
import matplotlib.pyplot as plt
import numpy as np
# Clear-sky summer values from net flux figure
dflux_darea = -0.039128 # Use the value for ice area change here. To find with
# respect to water area, take the negative of this
... | true |
1d0871930e83dcfcf7b7c8fad64d808594e125b2 | Python | Phantomb/malmo_rl | /utilities/replay_memory.py | UTF-8 | 11,701 | 2.90625 | 3 | [
"MIT"
] | permissive | import argparse
import copy
from collections import namedtuple
from typing import List
import numpy as np
from utilities.segment_tree import SumSegmentTree
# Definition of observation:
# state: s_t
# action: a_t
# reward: r_(t+1) (reward received due to being at state s_t and performing action a_t which... | true |
dd6fbf8e0e16b1477261f91dee92e4f8be6e4ab6 | Python | jimfred/python | /set-file-time.py | UTF-8 | 490 | 3.46875 | 3 | [] | no_license | '''
Example to change a file's time.
'''
import os
import datetime
def set_mod_time(file_str: str, iso_date_time_str: str):
# date = datetime.datetime.now()
date = datetime.datetime.strptime(iso_date_time_str, "%Y-%m-%d %H:%M:%S")
timestamp = date.timestamp() # seconds passed since epoch in local time.
... | true |
2c392ffedc224bddbbabc5738169bedbc4743a9e | Python | ycu-engine/kaggle | /typings/sklearn/ensemble/_stacking.pyi | UTF-8 | 17,468 | 2.875 | 3 | [] | no_license | """
This type stub file was generated by pyright.
"""
from abc import ABCMeta, abstractmethod
from ..base import ClassifierMixin, RegressorMixin, TransformerMixin
from ._base import _BaseHeterogeneousEnsemble
from ..utils.metaestimators import if_delegate_has_method
from ..utils.validation import _deprecate_positional... | true |
27fccff6186e761d375c0a588b6b4d4ac3acd4f3 | Python | sarahghanei/Euler-Project-Programming | /Problem3.py | UTF-8 | 606 | 3.734375 | 4 | [] | no_license | # # Euler project Problem 3
# def is_prime(n):
# res = True
# for i in range(2, int(n ** 0.5) + 1):
# if n % i == 0:
# res = False
# return res
#
#
# def max_prime_factor(n):
# max_prime = 0
# while n % 2 == 0:
# max_prime = 2
# n /= 2
# for i in range(3, int(... | true |
ffdf7b6a0f976c9f24acebf263bab25272c4ce71 | Python | suppoor/pml-git | /python/plotting_test.py | UTF-8 | 527 | 3.5 | 4 | [] | no_license | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
# Fiddling around with matplotlib
plt.plot([0,1,2,3], [10,20,30,40])
plt.plot([0,1,2,3], [10,20,30,40], 'ro')
plt.ylabel('Some variables')
plt.xlabel('Some constants')
plt.axis('equal')
plt.axis('tight')
plt.show()
# Do some more interesting l... | true |
76804905395dff835bd61908a037401fdc2da1af | Python | dastier/top3distance | /top3distances/dbutils.py | UTF-8 | 3,008 | 2.5625 | 3 | [] | no_license | import logging
import os
import time
import psycopg2
logger = logging.getLogger(__name__)
LIMIT_RETRIES = 5
class Database():
def __init__(self):
self.host = os.getenv('POSTGRES_HOST')
self.port = os.getenv('POSTGRES_PORT')
self.user = os.getenv('POSTGRES_USER')
self.password = ... | true |
9d055c46bd937129b16a3d67db50d29f0f0e82c8 | Python | PaulCotney/tfpipe | /tfpipe/pipeline/engine.py | UTF-8 | 6,311 | 2.5625 | 3 | [] | no_license | """Defines functionality for pipeline.
"""
from re import findall
from os import system
from sys import exit
from datetime import datetime
from tfpipe.utils import logger, DuplicateJobNames
class WorkFlow(object):
"""WorkFlow creates and executes job submission statements.
"""
def __init__(self, job_list... | true |
620cbdff444f45dff7a6c1ba60c256ea60266d9b | Python | xshirl/ctci | /chapter2/2.3.deleteMiddleNode.py | UTF-8 | 252 | 2.796875 | 3 | [] | no_license | import Node
class Solution:
def deleteMiddle(self, node: Node) -> bool:
if node is None or node.next is None:
return False
next = node.next
node.val = next.val
node.next = next.next
return True
| true |
af683a8fa5677e6b1c65c4c8757630cc04d4496f | Python | bmsr56/cs4096 | /py_code/pump.py | UTF-8 | 585 | 3.171875 | 3 | [] | no_license | import RPi.GPIO as gpio
import time
# gpio general settings
gpio.setmode(gpio.BCM)
gpio.setwarnings(False)
def assignPumps(*args):
"""Assign the pumps to gpio pins
Args:
args (ints): 6 BCM pin numbers in order of how you want them assigned to the pumps.
Returns:
pump (dict)... | true |
8bf9f729711b9f646023fe57f6ef15cc6a5f4297 | Python | shwetachauras/Final-Project-on-OECD-Road-Accidents | /Functions_RD.py | UTF-8 | 9,659 | 4.1875 | 4 | [] | no_license | def csvToList(csv_file):
"""
This functions reads data from a csv file
Accepts a csv file as paramter
Returns a list of lists, with data of only 0, 5 and 6 columns
(i.e. country name, year and number of road deaths) of csv file.
Header of the file is ignored.
"""
with open (csv_file) as... | true |
aed762af1bfbc32e9fd321733417361ada0786fc | Python | GoldxKey/putianHospitalMap | /spider.py | UTF-8 | 1,053 | 2.6875 | 3 | [] | no_license | # -*- coding: UTF-8 -*-
import urllib2
def downTheHTML(url):
req_header = {
'User-Agent':'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36',
'Accept':'text/html;q=0.9,*/*;q=0.8',
'Accept-Charset':'ISO-8859-1,utf-8;q=0.7,*;q=0.3',
'Connecti... | true |
6dd59c5439d851ad8bae280f662fff150e4ae36c | Python | derektolliver/spectral-jellyfish | /Competitive Programming/9:23/invalid.py | UTF-8 | 422 | 2.875 | 3 | [] | no_license | def invalid():
num_tests = int(input())
for i in range(num_tests):
invalid_num = 0
num_friends = int(input())
for f in range(num_friends):
info = [int(elem) for elem in input().split()]
if info[0] < 6 or info[0] > 21 or info[1] < 0 or info[1] > 1024:
... | true |
5d0992b4ae8e014a28cd04cc1d5788e35440ffc5 | Python | nickmcblain/HackKingsWorkshop-React | /Resources/bankingLambda.py | UTF-8 | 7,970 | 3.03125 | 3 | [] | no_license | """
This sample demonstrates a simple skill built with the Amazon Alexa Skills Kit.
The Intent Schema, Custom Slots, and Sample Utterances for this skill, as well
as testing instructions are located at http://amzn.to/1LzFrj6
For additional samples, visit the Alexa Skills Kit Getting Started guide at
http://amzn.to/1LG... | true |
3c9717ebe887bebd5db3477cd7b56faeff52bfa5 | Python | yogalin910731/studytest | /twokindstrees/treesonpoint.py | UTF-8 | 2,059 | 3.328125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/7/23 10:35
# @Author : fangbo
class treenode:
def __init__(self,val):
self.val = val
self.lchild = None
self.rchild = None
def iseuqual(root1,root2):
# 如果B树为空，那么可以算B是A的子结构
# 如果A树空，而B树不空，那么B不是A的子结构
# ... | true |
f17a571f68690728ad52f21037dadbb493a1ef5f | Python | rickhanlonii/slacksocket | /slacksocket/client.py | UTF-8 | 12,724 | 2.546875 | 3 | [
"MIT"
] | permissive | import json
import logging
import websocket
import requests
import time
from threading import Thread, Lock
import slacksocket.errors as errors
from .config import slackurl, event_types
from .models import SlackEvent, SlackMsg
log = logging.getLogger('slacksocket')
class SlackClient(requests.Session):
"""
A ... | true |
c0bff73bba3aaf951dc67c86654700fc0de3b97c | Python | MiyuruThathsara/Dynamic-Channel-Pruning- | /Feature Map Prominance/Scripts/Custom Net/Custom_Net_Train.py | UTF-8 | 1,703 | 2.5625 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from Custom_Net import Custom_Net as Net
device = torch.device( 'cuda:0' if torch.cuda.is_available() else 'cpu' )
print( "Device : ", device )
transform = t... | true |
713148d60d573ba99547839251ad1b7debc6ebe3 | Python | ShabbirHasan1/MarketMatrix | /strategys/Rsi.py | UTF-8 | 970 | 2.515625 | 3 | [] | no_license | import pandas as pd
import random
from datetime import datetime, timedelta
import ta
from market import strategy
sma = []
class Rsi(strategy.Strategy):
def initialize(self):
self.sym = "ETH-USD"
self.tickers = [self.sym]
self.entry_rsi = 25
self.exit_rsi = 80
self.rsi_wi... | true |
4d0076d559137382f5ffda40164536fda87baca7 | Python | yupm/Computer-Vision-with-3DoF-estimation | /computervision.py | UTF-8 | 6,866 | 2.625 | 3 | [] | no_license | import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
import imagecapture
import cameracalibration
from collections import deque
import re
# for smoothing values
rowq = deque(maxlen=10)
pitchq = deque(maxlen=10)
yawq = deque(maxlen=10)
#convert rotation vector to roll pitch yaw
def rot_params_rv(r... | true |
d582b9d5ed2b849e8b6e2fee204d3d746f1a2118 | Python | hrit1995/Sorting-Analysis-Queue-BST | /test_tree_sort.py | UTF-8 | 922 | 3.140625 | 3 | [] | no_license | import unittest
from tree_sort import sortTree
from timeit import default_timer as timer
import random
class TreeSortTest(unittest.TestCase):
def setUp(self):
self.tree = [random.randint(1, 4000) for _ in range(1, 979)]
def test_tree_already_sorted(self):
copy_tree = self.tree
... | true |
37d4f20934b5b7d32319defa8d3b7058f72236b8 | Python | undisbeliever/first-person-tetromones | /tables/level-colors.py | UTF-8 | 1,657 | 3.015625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# vim: set fenc=utf-8 ai ts=4 sw=4 sts=4 et:
from colorsys import hsv_to_rgb
SAT_VAL_PER_TILE_COLOR = (
(1.00, 1.00),
(0.71, 1.00),
(1.00, 0.65),
(1.00, 0.78),
(1.00, 0.89)
)
HUES_PER_LEVEL = (
( 48, 88, 208, 8, 328), # 1
(220, 33, 153, ... | true |