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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
bba2bde4b46d718f64ecb2c6799c8f281e873626 | Python | antekpiechnik/projekt-rw-agh | /src/pyxmldict.py | UTF-8 | 10,067 | 2.96875 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import re
import string
import time
import sys
# dictionaries
origin_bits = ['gr.', 'łc.', 'fr.', 'niem.', 'ang.']
# the main class for containing the definitions along with the examples/origin and so on
class WordDefinition:
# the simplest of all constructors... | true |
648fc05000e6ae8c613422a390ff367689f7c27c | Python | cgat-developers/cgat-flow | /obsolete/pipeline_rnaseqtranscripts.py | UTF-8 | 82,536 | 3.0625 | 3 | [
"MIT"
] | permissive | """=================================
RNA-Seq Transcript Build pipeline
=================================
The rnaseq transcript build pipeline attempts build a variety of gene sets
from reads mapped to a reference genome.
This pipeline works on a single genome.
Overview
========
The pipeline assumes the data derive... | true |
88752a56c4cf29ddfc76a9c34875cb615f8f24bc | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_212/198.py | UTF-8 | 1,457 | 3.21875 | 3 | [] | no_license | import math
def splitAndList(inp):
ret = []
s = inp.split(' ')
for i in range(len(s)):
ret.append(int(s[i]))
return ret
def splitAndDict(f, inp):
ret = {}
s = inp.split(' ')
s2 = f.split(' ')
for i in range(len(s)):
ret[s2[i]] = int(s[i])
return ret
def c2(gr... | true |
6bd4e1a24a2750432eec32dc6e7df783ba5c4bb6 | Python | miguelsuau/modified-ml-agents | /ml-agents0.3/python/unitytrainers/coma/trainer_test.py | UTF-8 | 26,303 | 2.5625 | 3 | [
"Apache-2.0"
] | permissive | # # Unity ML Agents
# ## ML-Agent Learning (PPO)
# Contains an implementation of PPO as described [here](https://arxiv.org/abs/1707.06347).
import logging
import os
import numpy as np
import tensorflow as tf
from unityagents import AllBrainInfo
from unitytrainers.buffer import Buffer
from unitytrainers.coma.models i... | true |
29b3d489d21ab311bb395fd33a1e00fef18d983b | Python | Ocean-11/TF_stixels | /data/crop_image.py | UTF-8 | 2,026 | 3.09375 | 3 | [] | no_license |
'''
*
* crop_image()
*
* Purpose: crops an images folder using prescribed x limits
*
* Output: Cropped directory containing the cropped images
*
* Written by: Ran Zaslavsky 04-12-2019
'''
# imports
import glob, os
import matplotlib.image as mpimg
import tkinter as tk
from tkinter import filedialog
import shutil
de... | true |
4c1e2aaa697d3c02bc93e153d93738ea1a4d2664 | Python | huyquangbui/buiquanghuy-web-c4e23 | /web2/hw/study1.py | UTF-8 | 251 | 3.3125 | 3 | [] | no_license | # Learn how to convert string to dictionary using json library.
import json
a_string = "{'ola':'amigo','grazie':'italian','gracias':'spanish','merci':'french','danke':'german'}"
into_a_dict = json.loads(a_string)
print(into_a_dict)
# khong chay duoc | true |
c4984640725fa682aea5a753589dc8a270fc2992 | Python | Amankhalsa/pythonHero | /venv/Py_hero/my_dict.py | UTF-8 | 2,387 | 4.0625 | 4 | [] | no_license | print("This is a dictionary Eng to Punjabi:")
print("user for word meaning eng to pbi")
my_dict={"Happy":"ਖੁਸ਼",
"Healthy":"ਤੰਦਰੁਸਤ",
"Clever":"ਚਲਾਕ",
"Wise": "ਸਮਝਦਾਰ",
"Laborious":"ਮਿਹਨਤੀ",
"Honest":"ਇਮਾਨਦਾਰ",
"Brave":"ਬਹਾਦਰ",
"Rich":"ਅਮੀਰ",
"Kind":"ਦਯਾਲੁ",
"Intelligent":"ਤੇਜ"}
# user_input=input("enter... | true |
882374d7b9d30a0e70431b15725e40d894440bc3 | Python | mallik141/nike-bot | /main.py | UTF-8 | 12,301 | 2.765625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Buy stuff from nike.com/launch
Useful endpoints at https://api.nike.com
/launch/launch_views/v2/?filter=productId(...)
Find whether can buy an item
/merch/skus/v2/?filter=productId%28...&filter=country%28US%29
Find SKUs of different sizes of items
----------------... | true |
6207f3cae55531003437be5b36bfeb155ddab39e | Python | alaypatel07/dmbi | /information_gain/entropy.py | UTF-8 | 3,409 | 3.328125 | 3 | [] | no_license | # Algorithm
# Develop a data structure for the node
# Each node has the following parameters
# Name
# data
# attribute - optional
# values - optional
# Requires further inspection
# children []
# start the algorithm with a root node... | true |
bb65ebe8af720b9a1ed80f73321a111320f00ac7 | Python | bennettp123/advent-of-code | /2017-day09/garbage.py | UTF-8 | 1,800 | 3.46875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
def process(s, depth=0):
if s.startswith('<'):
# is garbage
pos = 0
garbage_count = 0
while True:
pos += 1
if s[pos] == '!':
# skip next char
pos += 1
garbage_count += -2
c... | true |
a11f4cf504938d3b73f924123a6c625542405459 | Python | mikeshihyaolin/linkcode | /703. Kth Largest Element in a Stream.py | UTF-8 | 1,550 | 4.71875 | 5 | [] | no_license | # 703. Kth Largest Element in a Stream.py
# Design a class to find the kth largest element in a stream.
# Note that it is the kth largest element in the sorted order, not the kth distinct element.
# Your KthLargest class will have a constructor which accepts an integer k and an integer array nums,
# which contains i... | true |
0cef25e475d7ffc2c92e32c36f1133414d28c9ef | Python | mmal73/30-days-code | /05.py | UTF-8 | 201 | 2.703125 | 3 | [] | no_license | import math
import os
import random
import re
import sys
if __name__ == '__main__':
n = int(input())
for i in range( 1,11 ):
print( str( n ) + " x " + str( i ) + " = " + str( n*i ) ) | true |
6fbd50a01d3c7cf03a590a1e116220a34ce5eaab | Python | padamcs36/Chapter-1 | /ArrayIndex.py | UTF-8 | 527 | 4.03125 | 4 | [] | no_license | from array import *
arr = array('i',[])
a = int(input("enter the length of the array: "))
for i in range(a):
x = int(input("Enter number of values :"))
arr.append(x)
print(arr)
val = int(input("Enter the number to search: "))
count = 0
for e in arr:
if e == val:
print("The index... | true |
dac9fb55d01019203776cff8861be28767d6f38b | Python | ashwin2509/Leetcode | /Amazon/LongestPalindromicSubstring.py | UTF-8 | 1,012 | 3.296875 | 3 | [] | no_license | import collections
import heapq
class Solution:
def longestPalindromicSubstring(self, string):
dp = [[0 for _ in range(len(string))] for _ in range(len(string))]
res = ''
ml = 0
for i in range(len(string)):
dp[i][i] = 1
ml = 1
res = string[i]
... | true |
6a2965b4e5e9a2fd034d9d10479e7a62408a77b0 | Python | ka9594/GUVI_codekata | /H_S2_11.py | UTF-8 | 120 | 2.9375 | 3 | [] | no_license | n = input()
#x = set(map(int,input().split()))
x = n.split(' ')
for i in range(len(x)):
print(x[i][::-1],end=" ")
| true |
42b09381df3df7ac911acf7d95983cb3bdbc5a98 | Python | Hyunjong1461/python | /200215/한수.py | UTF-8 | 400 | 3.03125 | 3 | [] | no_license | def 한수 (a):
cnt=0
for i in range(1,a+1):
str1=str(i)
arr=[]
for j in range(len(str1)):
arr.append(int(str1[j]))
if len(arr)<=2:
cnt+=1
elif len(arr)==3:
for k in range(len(str1)-2):
if arr[k]-arr[k+1]==arr[k+1]-arr[k+2]:... | true |
54683e2fd3e8eadde2b106d180d092854a050de6 | Python | gauravaror/programming | /numDecodings.py | UTF-8 | 920 | 2.90625 | 3 | [] | no_license | class Solution:
def numDecodings(self, s: str) -> int:
self.ans = 0
self.cache = {}
def back(st):
if len(st) == 0:
self.ans += 1
self.cache[st] = 1
return 1
ans = 0
if st[0] != "0":
if st[1:] ... | true |
16acb04afcdbdbac8a04f0139d3fdd9ed9481b87 | Python | MathisBurger/adventofcode-solutions | /day1/part2/main.py | UTF-8 | 508 | 3.390625 | 3 | [] | no_license | def getArrayFromFile():
with open('array2.txt', 'r', encoding='utf-8') as file:
raw = file.read()
return raw.split('\n')
def calculate(number_array):
for i in number_array:
for x in number_array:
for y in number_array:
if (int(i) + int(x) + int(y)) == 2020:
... | true |
b42480879b0bcc295f9ad455542187644ee8ed30 | Python | nsudhanva/mca-code | /Sem3/Python/functions/comprehension.py | UTF-8 | 462 | 4.0625 | 4 | [
"MIT"
] | permissive | x = [1,2,3,4,5,6,7,8]
y = 'YOUWOTM8'
even = lambda x: x % 2 == 0
square = lambda x: x ** 2
print([square(i) for i in filter(even, x)])
# given alist of number create a new list which conntains number multiploes by 3 + 2
print([(i * 3) + 2 for i in x])
# create a list of lower chars given upper
print([i.lower() for i... | true |
6f2ae35bc14eaa9226f82dccc362a0a49623eed5 | Python | davidcorne/Project_Euler | /problem359.py | UTF-8 | 235 | 2.640625 | 3 | [] | no_license | #!/usr/bin/env python
# Written by: DGC
import time
t_start = time.time()
print("RUNNING PROBLEM XXX")
print("\n")
def room(floor, room):
person = 0
return person
print("run time:"),
print(str(time.time()-t_start))
| true |
9bf907a854059a18db1f45aaf7afde4014c43a87 | Python | gopiprasad008/GUVI_CODEKATA_PYTHON_CODE | /minimum number of characters to be inserted to convert it to palindrome.py | UTF-8 | 67 | 2.828125 | 3 | [] | no_license | import random
s = str(input())
print(random.choice([len(s)-1, 0]))
| true |
31c9d8fecc7fd1feceb32f5ed726cb772a0c3f7a | Python | shengrihui/tianchi | /test/05BackPropagetion_02.py | UTF-8 | 1,326 | 3.171875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 2 18:52:29 2021
@author: 11200
"""
import torch
import matplotlib.pyplot as plt
def forward(x):
return w1*x*x+w2*x+b
def loss(x,y):
y_pred=forward(x)
return (y_pred-y)**2
x_data=[1.0,2.0,3.0]
y_data=[2.0,4.0,6.0]
w1=torch.tensor([10.0])
w1.requires_grad... | true |
3a00dee3df2a685185e78340420fc9292bb9fe59 | Python | BaronAlina/Python_topic1-2-3-branching | /prob.py | UTF-8 | 66 | 2.84375 | 3 | [] | no_license | a=int(input())
h=a%86400//3600
m=a%3600//60
s=a%60
print(h, m, s)
| true |
2d70bce7158e0a3015f7d7fe7f5cda99b5ec991b | Python | Vizanth/projects | /nested loop2.py | UTF-8 | 129 | 3.375 | 3 | [] | no_license | print("Hello",end="")
print(" World")
for i in range(5):
for j in range (5):
print(j,end="")
print()
| true |
859674c1946f751f944d2ae3576f2d94457b0347 | Python | mrmundt/pyomo | /pyomo/contrib/cp/tests/test_step_function_expressions.py | UTF-8 | 19,693 | 2.65625 | 3 | [
"BSD-3-Clause"
] | permissive | # ___________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright (c) 2008-2022
# National Technology and Engineering Solutions of Sandia, LLC
# Under the terms of Contract DE-NA0003525 with National Technology and
# Engineering Solutions of ... | true |
f574783eb5f2b5a8505e37eecc9ee31c8df5487f | Python | Arindam26/Python_Practice_scripting | /fibonacci_lambda.py | UTF-8 | 620 | 4.46875 | 4 | [] | no_license | """Fibonacci series with lambda """
# from functools import reduce
#
# # fib_series = lambda n: reduce(lambda x, _: x + [x[-1] + x[-2]], range(n - 2), [0, 1])
# fib_series = lambda n: reduce(lambda x, _: x + [x[-1] + x[-2]], range(n - 2), [0, 1])
#
# for i in range(20):
# print("Fibonacci series upto {}".format(i)... | true |
eea4c426675f1d90a7d70e2429e4fbc8a9dc3b0d | Python | Aasthaengg/IBMdataset | /Python_codes/p03723/s824229232.py | UTF-8 | 1,004 | 3.0625 | 3 | [] | no_license | #!/usr/bin/env python3
import sys
def solve(A: int, B: int, C: int):
ans = 0
s = set()
while True:
if A % 2 == 1 or B % 2 == 1 or C % 2 == 1:
print(ans)
break
newA = B / 2 + C / 2
newB = A / 2 + C / 2
newC = A / 2 + B / 2
A = newA
... | true |
21d2de5719fafd94605f31bc07231644f4be18c5 | Python | anatolio-deb/vpnmupd | /tests/test_module01.py | UTF-8 | 1,240 | 2.90625 | 3 | [] | no_license | from datetime import datetime
from unittest import TestCase
from vpnmupd import versions
class TestClass01(TestCase):
"""Software dependency versions compared"""
def setUp(self) -> None:
super().setUp()
self.any_string = "Some string containing v1.1.1"
def test_case01(self):
"""... | true |
9cfc919153b3986291a994b75ccdb44f89a0b1fe | Python | crphub2/madness | /guessgame.py | UTF-8 | 499 | 3.8125 | 4 | [] | no_license | import random
print("guess any number between 0-20")
x=random.randint(0,20)
z='yes'
print(x)
while 'true':
print("if output is less than guess type'l'or grater type'g' or found type anything")
le=str(input())
if le=='l':
y=random.randint(0,x)
print(y)
x=y
elif le==... | true |
edd7b04420048a57a97972a2166e4024ea4d8b44 | Python | PJK-me/online-menu | /menus/models.py | UTF-8 | 997 | 2.625 | 3 | [] | no_license | from django.db import models
class Menu(models.Model):
"""
Menu Model
"""
name = models.CharField(max_length=55, unique=True)
description = models.TextField(max_length=255)
created_date = models.DateField(auto_now_add=True)
updated_date = models.DateField(auto_now=True)
def __str... | true |
c66d31cbfb0a65a9278653b1f95c41181b0120eb | Python | Jenionthenet/Week-2 | /Day-1/table_class.py | UTF-8 | 728 | 3.3125 | 3 | [] | no_license | class Table:
def _init_(self):
self.height = 0.0
self.shape = ""
self.width = 0.0
self.material = ""
self.color = ""
self.function = ""
# height and width are in feet
table = Table()
table.height = 1
table.shape = "oval"
table.width = 2
table.material... | true |
5eda1fb41efdc3b54114f0b7b0e20bcb0556aacd | Python | emmabehr/Python-mini-projects | /Day 10 - Magic 8 Ball/eightball.py | UTF-8 | 805 | 3.65625 | 4 | [] | no_license | # Ask Magic 8 Ball questions and let it answer
import random
questions = {}
answers = ['It is certain', 'It is decidedly so', 'Without a doubt', 'Yes, definitely',
'You may rely on it', 'As I see it, yes', 'Most likely', 'Outlook good',
'Signs point to yes', 'Yes', 'Reply hazy, try again', 'Ask again later',
'Bette... | true |
8b7a0eed80e819d765c3a5bb9fc370c14879eff8 | Python | naswfd/sysadmin | /bmi_function | UTF-8 | 797 | 3.515625 | 4 | [] | no_license | #!/usr/bin/env python3.6
def gather_info():
height = float(input("What is your height ? (inches or meters)"))
weight = float(input("What is your weight ? (pounds or kilograms)"))
system = input("measurements in metric or imperial ?").lower().strip()
return (height, weight, system)
def calculate_bmi(height, we... | true |
574a5ddd2a4fbf686f56ed51f3a9eac6a75d90d8 | Python | shibakid/what_is_my_number_game | /m_game.py | UTF-8 | 2,381 | 3.09375 | 3 | [] | no_license | m=[]
n=[]
for i in range(0,10000):
m.append(str(i))
for i in m:
n.append(list(i))
for i in n:
while len(i)!=4:
i.insert(0,'0')
posib=n
def test(sol,tester):
sol_1=sol[:]
test_1=tester[:]
corr_all_num=0
while test_1:
j=test_1.pop()
for i in sol_1:
if j==i:
corr_all_num+=1
... | true |
b03df0a4c8bb77887de2971d2874eb052439ddee | Python | charliedmiller/coding_challenges | /can_place_flowers.py | UTF-8 | 1,687 | 3.859375 | 4 | [] | no_license | # Charlie Miller
# Leetcode - 605. Can Place Flowers
# https://leetcode.com/problems/can-place-flowers/
# Written 2020-12-05
"""
Greedily place flowers whenever you can. Not placing
when you can flowers will always result in punishment
Iterate over the flowerbed, keep track of the remaining
flowers. Decrement remainin... | true |
b28528e74e31c26e829d033af43b193b7ce01787 | Python | rogandz/HdT5 | /simulacion.py | UTF-8 | 1,239 | 3.25 | 3 | [] | no_license | import random
import simpy
semilla = 42 # semilla para la generacion de randoms
totalProcesos = 25 # procesos que se deben realizar para terminar la simulacion
intervaloProcesos = 10.0 # intervalo en que se generar los procesos
def generarProcesos(env, number, interval, memory, resource): # parametros: enviroment; nu... | true |
89690daeb425afb3554b3f094eab743097b52d5a | Python | jidhu/code | /Python/arith.py | UTF-8 | 447 | 3.625 | 4 | [] | no_license | import cs50
print("x is ", end="")
x=cs50.get_int()
print("y is ", end="")
y=cs50.get_int()
print("{} plus {} is {}".format(x,y,x+y))
print("{} minus {} is {}".format(x,y,x-y))
print("{} time {} is {}".format(x,y,x*y))
print("{} divided by {} is {}".format(x,y,x/y))
print("{} divided by {} is {:.55f}".format(x,y,x/y... | true |
94d8caa41d75c2b8f79c170d07b89600921246b0 | Python | vendanner/tensorflow-example | /CV/dogsOrCat/VGG16/VGG16app3.py | UTF-8 | 2,123 | 2.625 | 3 | [] | no_license | """
训练时也要去计算卷积基，要用 GPU 计算，CPU 计算力不够
"""
import os
from keras.preprocessing.image import ImageDataGenerator
from keras import optimizers
from keras import models
from keras import layers
from keras.applications import VGG16
base_dir = '../dataSet/cats_and_dogs_small'
train_dir = os.path.join(base_dir, 'train')
validat... | true |
0935ce6787f8bf5ac74cecf6520226ecc8d01996 | Python | hamdimuzakkiy/firedetection | /code/classification.py | UTF-8 | 2,190 | 2.578125 | 3 | [] | no_license | __author__ = 'hamdiahmadi'
import scipy
from sklearn import svm
import excel
import numpy as np
import copy
def readDataSet(file):
data,classes = excel.readDataSet(file)
return data, classes
def getClassifier(datatraining, kernels, error):
x,y = readDataSet(datatraining)
# clf = svm.SVC(kernel = kern... | true |
650a2d13f7ead3ccd6d51cff9cbd1969ed3494e6 | Python | tomasd/application-event-logger | /eventloggertests.py | UTF-8 | 1,683 | 2.625 | 3 | [] | no_license | import unittest
import sqlalchemy as sa
import sqlalchemy.orm as orm
import eventlogger
from sqlalchemy.ext.declarative import declarative_base
Model = declarative_base()
class MyEvent(eventlogger.EventObject, Model):
__tablename__ = 'myevent'
param = sa.Column(sa.String(255))
class EventLoggerTest(unitte... | true |
5e21a8586c65761e979342be311bee44bfd71c9b | Python | Omarabdul3ziz/CodeSteps-3.0 | /nestedloops/02_pyramid.py | UTF-8 | 500 | 3.484375 | 3 | [] | no_license | # ##1
# print("#", end="")
# print("#", end="")
# print("#", end="")
# print("#", end="")
# ## 2
# for j in range(5):
# print("#", end="")
# print(" ")
# for j in range(5):
# print("#", end="")
# print(" ")
# for j in range(5):
# print("#", end="")
# print(" ")
for i in range(5): # i = rows
for j i... | true |
af6fffeed4c8ae7f9183cb3486afe27fc07fa27b | Python | BayanbaevIlyas/Lesson1 | /Lesson2/Lesson3/bot/mybot.py | UTF-8 | 1,118 | 2.5625 | 3 | [] | no_license | #Это бот, который работает со списком учениковфывыфв
import telebot
import list3
token = '462539917:AAFdizUx-8GpepdUfNfhwKsv4g3d4n2j3M4'
bot = telebot.TeleBot(token)
@bot.message_handler(content_types = ['text'])
def check_message(message):
if message.text == 'список студентов':
for student in l... | true |
f262b225a1d797960b03825ecbcd92130d419240 | Python | JsFlo/SharedCapsNet | /test.py | UTF-8 | 4,058 | 2.53125 | 3 | [] | no_license | import tensorflow as tf
import numpy as np
from Model import Model
import argparse
from tensorflow.examples.tutorials.mnist import input_data
from utils import create_dirs_if_not_exists
MNIST = input_data.read_data_sets("/tmp/data/")
parser = argparse.ArgumentParser()
# REQUIRED
parser.add_argument('--checkpoint_dir'... | true |
93a13f6ca2a66c13faca19fb94a8980230b57cee | Python | GhostofAdam/RLtree | /controller.py | UTF-8 | 13,692 | 2.515625 | 3 | [] | no_license | import matplotlib.pyplot as plt
import numpy as np
from simpleDT import *
from data import *
import math
import graphviz
from progressbar import *
# hyperparameters
# for decision tree
min_impurity_split = 0.0
# for reward calculation
k = 0.9
record_num = 20
class Config():
def __init__(self, option_size=None... | true |
4994d429c3709c68a6765c7877b106c4c2b71dd4 | Python | JayMackay/PythonCodingFundamentals | /[Session 1] Basic Syntax & String Manipulation/[2] If Statements/07 random_number2.py | UTF-8 | 335 | 4.375 | 4 | [] | no_license | import random
user_name = input("Hello! What is your name?")
number = random.randint(1, 10)
print(f"Well, {user_name}, I am thinking of a number between 1 and 10.")
guess = int(input("Take a guess: "))
if guess == number:
print(f"Good job, {user_name}! You guessed my number.")
else:
print("Wrong, better luc... | true |
c7fb6eace28d58d84443d8b8268fc5338476dc43 | Python | kbsezginel/nanocar-misc | /molecules/surface-diffusion/initialize/molecule_on_metal_slab.py | UTF-8 | 4,042 | 2.734375 | 3 | [
"MIT"
] | permissive | """
Place given molecules on a metal slab parallel to xy-plane.
Molecule information is read from molecules.yaml and surface nformation is read from surfaces.yaml.
- A metal slab is generated parallel to xy-plane acoording to info given in surfaces.yaml.
- The molecule is aligned to xy-plane by two given vectors.
- The... | true |
da4017fe38c187a91ad40a817596aee839f8b370 | Python | murbard/multinomial | /multinomial/__init__.py | UTF-8 | 3,042 | 3.859375 | 4 | [
"MIT"
] | permissive | from random import randint
# Return n chooses k, can (and should be) cached
def binomial(n, k):
"""
Computes n chooses k
:param n: number of items to choose from
:param k: number of items chosen
:return: n chooses k
"""
if 2 * k > n:
return binomial(n, n - k)
if k < 0 or k > n:... | true |
621b35d5fbe728db50d6593274e06c29a73ba97d | Python | basil1408/EE5644_Exam_2 | /Q2.py | UTF-8 | 4,656 | 2.578125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 22 12:37:26 2019
@author: Basil
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
data_train = np.loadtxt('Q2train.csv',delimiter=',')
data_test = np.loadtxt('Q2test.csv',delimiter=',')
plt.plot(data_train[:,1],data_train[:,2],'.',m... | true |
a08f794501113404a5cf1c0af2da8d49be6741ea | Python | ShijiZ/Python_Learning | /Crossin/Crossin37.py | UTF-8 | 221 | 2.8125 | 3 | [] | no_license | score = {
'Xiaofeng': 95,
'Duanyu': 97,
'Xuzhu': 89
}
print score['Duanyu']
print score
for name in score:
print score[name]
score['Xuzhu'] = 91
score['Murongfu'] = 88
del score['Xiaofeng']
print score
| true |
1657b472c0d1614f4346ff5c23e4329016a108ac | Python | wirelessjeano/py4kids | /lesson-16-gui/dash/dash-06_core_components.py | UTF-8 | 7,018 | 2.6875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import plotly.graph_objs as go
from datetime import datetime as dt
import pandas as pd
df_solar = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
external_st... | true |
08bc54e6fa8244ea7503d5bd15b7c1af99cf6e57 | Python | nguyengiapphuongduy/ppl-181 | /Week 7 AST/q2/src/test/ASTGenSuite.py | UTF-8 | 965 | 3.078125 | 3 | [] | no_license | import unittest
from TestUtils import TestAST
from AST import *
class ASTGenSuite(unittest.TestCase):
def test_simple_declaration(self):
"""Simple program: int a,b """
input = """int a;"""
expect = str(Program([VarDecl(Id("a"),IntType())]))
self.assertTrue(TestAST.test(input,expect,... | true |
39a53ea9eb811934225f55255fc3631d824cf265 | Python | DonaldWhyte/fileprocessor | /fileprocessor/filterers.py | UTF-8 | 4,255 | 3.15625 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | """Contains all built-in Filterer classes."""
import collections
import fnmatch
import os
from fileprocessor.abstracts import Filterer
class ExcludeListFilterer(Filterer):
"""Filterer which filters files based on glob patterns."""
def __init__(self, excludeList):
"""Construct instance of Exclude... | true |
34da046bd16af965e4b22c94a7de690efc4df4c2 | Python | Python2Game/Chicken_invaders | /chicken_invaders.py | UTF-8 | 2,408 | 2.859375 | 3 | [] | no_license | import pygame
import sys
import time
import random
from settings import Settings
from me import Ship
from button import Button
from button import Game_Over
import game_functions as gf
from pygame.sprite import Group
from game_stats import GameStats
from scoreboard import Scoreboard
from scoreboard import Quit_State
... | true |
62c0a67710fbdc8a1fd65a2430beb02525a0d112 | Python | remorsecs/FoolNLTK | /fool/dictionary.py | UTF-8 | 1,146 | 3.046875 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
# -*-coding:utf-8-*-
from fool import trie
class Dictionary():
def __init__(self):
self.trie = trie.Trie()
self.weights = {}
self.sizes = 0
def delete_dict(self):
self.trie = trie.Trie()
self.weights = {}
self.sizes = 0
def add_dict(... | true |
606601041eeae281aa0edac8f850681b710109a4 | Python | Dinghow/OS_Homework | /hw_2_memory_management/page_replacement.py | UTF-8 | 3,433 | 3.25 | 3 | [] | no_license | import random
# Block class
class Block:
def __init__(self,time):
# page of this block
self.page = -1
# Accessed or not
self.accessed = False
# Record the access order
self.time = time
# Create a stimulator class
class Simulator:
def __init__(self):
# C... | true |
b29971b42eb8eea150d1635be5ef8be1a7218776 | Python | emilydolson/avida-spatial-tools | /dev/environment_generator.py | UTF-8 | 10,874 | 2.859375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python
#WORK IN PROGRESS - do not use!
#This program allows you to automatically generate environment files with
#complex spatial resource layouts
import argparse
import random
from math import sqrt, log, floor, ceil
from avidaspatial import *
def get_args(cli=[]):
parser = argparse.ArgumentParser(de... | true |
8bed71c11dc7a18a95cd923e3d2de30a903ab9a4 | Python | JeroMe9496/support | /PYTHON/10.Seba-Apps/graphics/operator_calc/operatus.py | UTF-8 | 1,955 | 3.734375 | 4 | [
"MIT"
] | permissive | # IMPORTS
# -----------------------------------------
import tkinter as tk
import random
# THE WINDOW OBJECT
# -----------------------------------------
win = tk.Tk()
# Position and size of the window X x Y + W + H
# win.geometry(f"400x420+760+330")
# Prevents window resizing (if you want)
# win.resizable(False, F... | true |
c3b280af7fab39c48ddd7030e3138566780f03b0 | Python | Cermo/Python-Mini-Progs | /LoanVSSaving.py | UTF-8 | 3,200 | 3.265625 | 3 | [] | no_license | import pylab
class CreditShoper(object):
def __init__(self, account_balance, interest_rate, price, repay, period):
self.account_balance = account_balance
self.interest_rate = interest_rate
self.price = price
self.repay = repay
self.period = period
self.itemsBought =... | true |
49f38789bf939b9a099a0b904e7bc3e50b775c3d | Python | loganwong/boggle | /game.py | UTF-8 | 4,386 | 3.015625 | 3 | [] | no_license | from random import randint, shuffle
from arrayutils import arrayContent,arrayCopy
import BinarySearch as bs
DICE = [
['a','a','e','e','g','n'],
['a','b','b','j','o','o'],
['a','c','h','o','p','s'],
['a','f','f','k','p','s'],
['a','o','o','t','t','w'],
['c','i','m','o','t','u'],
['d','e','i',... | true |
bf0b8054783bdb675ef60a6ce20c12e6666434fc | Python | PedroG-8/Secure-domino | /secure-domino/smartcards/cc_functs.py | UTF-8 | 5,315 | 2.59375 | 3 | [] | no_license | import sys
import PyKCS11 as pk
import PyKCS11.LowLevel as pkll
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.serialization import load_der_public_key
from cryptography.hazmat.primitives.asymmetric import (
padding, rsa... | true |
d3d9db774eaf061d7c9aabaccb6be51de35066a3 | Python | phatboyle/programs | /graphics/bounceWithGameClass.py | UTF-8 | 4,366 | 3.125 | 3 | [] | no_license | import pygame
import random
import math
import os
class Game(object):
def __init__(self): #initializer, sets up pygame, window and tools
pygame.init()
self.screenHeight=600
self.screenWidth=600
self.blue=(0,0,255)
self.red=(255,0,0)
self.black=(0,0,0)
self.cl... | true |
f3deb3adf0011c251c40b705d0db2af6d3f51b1d | Python | nickovic/rtamt | /rtamt/semantics/abstract_interpreter.py | UTF-8 | 533 | 2.59375 | 3 | [
"BSD-3-Clause"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 23 2019
@author: Dejan Nickovic
"""
from abc import ABCMeta
from rtamt.exception.exception import RTAMTException
class AbstractInterpreter(object):
"""
Abstract Operation: template for any monitoring operation
"""
__metaclass__ = ABCMeta
NOT_IMPLEMEN... | true |
dc56e57712b409a83b4fef4c367a24f9dab464d0 | Python | NAD777/Game-pygame | /game.py | UTF-8 | 40,499 | 2.609375 | 3 | [] | no_license | import pygame as pg
import json
import os
from math import ceil
from copy import copy
from sys import argv
from time import time
DEBUG = 0
horizontal_borders = pg.sprite.Group()
vertical_borders = pg.sprite.Group()
all_sprites = pg.sprite.Group()
player_group = pg.sprite.Group()
border_group = pg.sprite.Group()
enem... | true |
b02088ad5000f068c18a5f9f4a2327ef31188bc8 | Python | Janbolotnr/ch2part1-task7 | /decision7.py | UTF-8 | 159 | 3.921875 | 4 | [] | no_license | x = int(input("Enter number: "))
if x > 0:
print(x, "is positive")
elif x == 0:
print(x, "is ZERO")
else:
print(x, "is negative")
| true |
b92e6669d39aeb6afbd5b31b4a03279bfa970057 | Python | compunutter/script-compare | /public/usercontent/602cb45e-1e38-4f3b-8b7d-0f571e98ee2a/Simon_BannerProgram.py | UTF-8 | 331 | 2.921875 | 3 | [] | no_license | banner_input = "TJ | Christopher Thompson III"
place = banner_input.find("|")
first, second = banner_input[0:place-1], banner_input[place+2:]
first_s, second_s = "*"*(len(first)+4), "*"*(len(second)+4)
constructed = "{} {}".format(first_s, second_s)
print("{}\n* {} * * {} *\n{}".format(constructed, f... | true |
d882ae262bcbd187577208d622e9494f3ef53a5e | Python | mveselov/CodeWars | /tests/kyu_7_tests/test_replace_all_items.py | UTF-8 | 602 | 3.3125 | 3 | [
"MIT"
] | permissive | import unittest
from katas.kyu_7.replace_all_items import replace_all
class ReplaceAllTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(replace_all([], 1, 2), [])
def test_equal_2(self):
self.assertEqual(replace_all([1, 2, 2], 1, 2), [2, 2, 2])
def test_equal_3(self)... | true |
8d7d8d16edcdb37787be6cd52902f032e3ecdd76 | Python | davenquinn/figurator | /figurator/captions.py | UTF-8 | 1,813 | 2.8125 | 3 | [] | no_license | from __future__ import print_function
from os import path
from re import compile
from click import echo
def parse_markdown(fobj):
"""
Parse captions to a dict generator
"""
key = None
val = ""
for line in fobj:
if line.startswith("##"):
if key is not None:
yi... | true |
c6fda1c9eb3a57ab9197b57eff03fe89541d2118 | Python | ehsu0407/set-game | /card.py | UTF-8 | 1,147 | 3.84375 | 4 | [] | no_license | __author__ = 'Eddie'
S_COLOR = ["red", "green", "purple"]
S_SHAPE = ["diamond", "squiggle", "oval"]
S_SHADING = ["solid", "empty", "striped"]
S_NUMBER = ["one", "two", "three"]
class Card:
"""
This class contains all the information for a card.
"""
def __init__(self, color, shape, shading, number):
... | true |
9a0d57e6d2766d5114d9c594c93f2a8d89fae1d4 | Python | Shanyao-HEU/PTA-PAT | /pat-b/1055.py | UTF-8 | 947 | 2.796875 | 3 | [] | no_license | N, K = [int(i) for i in input().split()]
num_every = N // K
stu_hei = {}
for i in range(N):
stu, hei = input().split()
stu_hei[stu] = int(hei)
def sortRule1(x):
stu = x[0]
hei = x[1]
return hei, -ord(stu[0]), -ord(stu[1]), -ord(stu[2])
sort_stu_hei = sorted(stu_hei.items(), key=sortRule... | true |
a971fb32ce35dcf43da353d3253ef1199c243209 | Python | 6igsm0ke/Introduction-to-Programming-Using-Python-Liang-1st-edtion | /CH05/EX5.55.py | UTF-8 | 870 | 4.1875 | 4 | [] | no_license | # 5.55 (Turtle: chessboard) Write a program to draw a chessboard, as shown in
# Figure 5.6b.
import turtle
turtle.speed(0)
turtle.penup()
turtle.goto(-150, 120)
turtle.left(45)
turtle.pendown()
black = False
for i in range(1, 9):
for j in range(1, 9):
turtle.begin_fill()
turtle.circle(30, steps=4)
... | true |
c4674b4169d8c0f0743a93581aadc8401c349bc8 | Python | SabiulSabit/Socket-Programming | /TermProject/011171220_webserver.py | UTF-8 | 1,439 | 2.921875 | 3 | [] | no_license | # import socket module
from socket import *
serverSocket = socket(AF_INET, SOCK_STREAM)
# Prepare a sever socket
# Fill in start
host = '127.0.0.1'
port = 4444 # for https
print('Ready to serve...')
serverSocket.bind((host, port))
serverSocket.listen(5) # Sets socket to listening state with a queue
... | true |
39311b8d3573ec002715f60cfdb6100332ba41a3 | Python | MuhamedHekal/Data-Analysis-Professional-Udacity | /US Bike Share/bikeshare.py | UTF-8 | 6,608 | 3.96875 | 4 | [] | no_license | import time
import pandas as pd
CITY_DATA = { 'ch': 'chicago.csv',
'ny': 'new_york_city.csv',
'w': 'washington.csv' }
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
Returns:
(str) city - name of the city to analyze
(str) mon... | true |
e9f20b5dff353bab795160b89bf173414493025f | Python | JuniorMSG/python_study | /study_project/deep_learning/ppp.py | UTF-8 | 3,709 | 2.84375 | 3 | [] | no_license |
import os
import cv2
from glob import glob
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
(train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.mnist.load_data()
train_labels = train_labels[:1000]
tes... | true |
212c35345a952b8033d9fe02681e9027d5f4953d | Python | copenlu/check-worthiness-pu-learning | /nn.py | UTF-8 | 3,875 | 2.765625 | 3 | [] | no_license | import torch
import numpy as np
from torch import nn
class NonNegativePULoss(nn.Module):
def __init__(self, prior: float, beta: float = 0., gamma: float = 1.0):
"""Non-Negative positive unlabelled risk estimator. This code is highly adapted from
https://github.com/kiryor/nnPUlearning/blob/master/... | true |
de845884e253cde7bc5301bf9a026eb51ad33e06 | Python | jdahm/pyxflow | /pyxflow/DataSet.py | UTF-8 | 19,177 | 3.1875 | 3 | [] | no_license | """
File to interface with XFlow *xf_DataSet* objects in various forms
The *DataSet* module contains the primary interface for XFlow's *xf_DataSet*
structs, which contain information on XFlow solutions. This includes the state,
which is the traditional type of CFD solution; the adjoint; and many other
things.
Two ve... | true |
c7028ebf8003929f7ed9773320f77035031a1528 | Python | ykang/tools-for-data-science-course | /2021年春天/2020310844/home_work.py | UTF-8 | 340 | 3.359375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed May 26 20:44:48 2021
@author: Always
"""
import jieba
sentence = '我爱自然语言处理'
# 创建【Tokenizer.cut 生成器】对象
generator = jieba.cut(sentence)
# 遍历生成器，打印分词结果
words = '/'.join(generator)
print(words)
我/爱/自然语言/处理
| true |
d2b5e3acae5c7ca8e8dcdc6caf07e802a2932239 | Python | praveena2j/Face-Recognition | /facedetect/utils.py | UTF-8 | 523 | 3.25 | 3 | [] | no_license | # Common Utility functions for face detection library
import os
# Creates a directory if it doen't exists
def createDir(aDirPath):
# If directory does not exist create it
if not os.path.exists(aDirPath):
os.makedirs(aDirPath)
# Deletes a file if it exists
def deleteFile(aFile):
try:
os.rem... | true |
96c9dbdab45818e74714b5e2b2c49f60b0c09bb3 | Python | arthurbarton/pykrotik | /app/pykrotik.py | UTF-8 | 3,731 | 2.515625 | 3 | [] | no_license | #!/usr/bin/env python3
"""Backup a list of mikrotiks"""
import os
import sys
from os import path
from datetime import datetime, timedelta, date
import argparse
import logging
import paramiko
import yaml
def _do_paramiko_exec(pclient: paramiko.SSHClient, cmd: str) -> tuple():
"""Perform the exec on the P client - ... | true |
0e737808fc06b3aabdcc3e35d51e04ce7eb90281 | Python | Mardoqueu-Pimentel/P2019.1_PAA_SEM1 | /src/p20191_paa_sem1/graph.py | UTF-8 | 4,384 | 2.9375 | 3 | [
"MIT"
] | permissive | from collections import defaultdict
from dataclasses import dataclass
from itertools import product
from typing import Dict, List, Set, TypeVar
import networkx as nx
import numpy as np
T1 = TypeVar('T1')
T2 = TypeVar('T2')
def reverseDict(d: Dict[T1, T2]) -> Dict[T2, Set[T1]]:
newDict = {}
for k, v in d.items():
... | true |
e709d7fae89b8608b7aeb87e2343b106a23bc306 | Python | linlufeng/LufengLearnPython | /PycharmProjects/lession8/hello3.py | UTF-8 | 1,237 | 3.921875 | 4 | [] | no_license | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# Python 异常处理
'''
使用except而不带任何异常类型
你可以不带任何异常类型使用except，如下实例：
try:
正常的操作
......................
except:
发生异常，执行这块代码
......................
else:
如果没有异常执行这块代码
以上方式try-except语句捕获所有发生的异常。但这不是一个很好的方式，我们不能通过该程序识别出具体的异常信息。因为它捕获所有的异常。
'''
'''
使用except而带多种异常类型
你也可以使用... | true |
1f35ccd377bf223c1d6ec67cb415e98e6f010ca8 | Python | SU-NCS/yesler_python | /src/challengesold/__init__.py | UTF-8 | 483 | 4.03125 | 4 | [] | no_license | import random
def challenge_1():
guess = None
num = random.randint(1,10)
for i in range(10):
guess = input("Give me a number between 1 and 10")
guess = int(guess)
if guess == num:
return True
elif guess < num:
print... | true |
7752f5477e62db0fe4239bd7bab1b49a66524778 | Python | dfsbora/ct213 | /lab2/path_planner.py | UTF-8 | 6,472 | 3.828125 | 4 | [] | no_license | from grid import Node, NodeGrid
from math import inf
import heapq
class PathPlanner(object):
"""
Represents a path planner, which may use Dijkstra, Greedy Search or A* to plan a path.
"""
def __init__(self, cost_map):
"""
Creates a new path planner for a given cost map.
:param... | true |
6e5cf13888502c45cdf81a9af6bccb30d4fb9ae5 | Python | MuLx10/Broly | /Social/RedditScrapper.py | UTF-8 | 1,687 | 2.71875 | 3 | [
"MIT"
] | permissive | import praw
import config
import random
class RedditScrapper(object):
"""docstring for RedditScrapper"""
def __init__(self):
super(RedditScrapper, self).__init__()
self.reddit = praw.Reddit(client_id = config.REDDIT_API_CLIENT_ID,
client_secret = config.REDDIT_API_CLI... | true |
7682ce827cef19cfd3d176a705f73539b233d2db | Python | Townjj/Machine-Learning | /Chapter_4/book_431.py | UTF-8 | 9,283 | 3.015625 | 3 | [] | no_license | import numpy as np
import math
import copy
def entro(D):
'''
计算信息熵
输入：数据集D
输出：数据集D的信息熵
'''
a_num = 0
b_num = 0
a = 0
b = 0
result = 0
for item in D:
if item[-1] == '好瓜': a_num += 1
if item[-1] == '坏瓜': b_num += 1
a = a_num/len(D)
b = b_num/len(D)
... | true |
abd4817c3018522c9c99a9df5691f5dc1dd056cc | Python | agabedn/zadania_domowe_python | /zad_1.3.py | UTF-8 | 1,181 | 3.75 | 4 | [] | no_license | """
Napisz trzy programy, które dla podanych liczb: wzrostu w cm i masy ciała w kg obliczą i wypiszą współczynnik BMI,
oraz podsumowanie informujące o stanie/zaleceniach.
(Informacje o BMI: wzór, interpretację wyników, proszę znaleźć samodzielnie).
Programy mają różnić się sposobem interakcji z użytkownikiem.
"""
# BMI... | true |
d0d41085d8d2bb47151ef4fed4533fa62ecfd116 | Python | sixfunctors/SUMRY2016 | /SCM/UnusedCode.py | UTF-8 | 6,154 | 2.890625 | 3 | [] | no_license |
### NO LONGER NEEDED ###
## Defines a weighting on a complex
class WeightedComplex(dict):
def __init__(self, comp, wlist):
self.deg = comp.deg
i = 0
for simp in comp:
if (len(wlist) <= i):
print("Invalid Weighting!")
break
self[simp] ... | true |
4a3c5f51b51d3f2aa6da29f9a0961344b9c38d0c | Python | kamaluddin-babar/py4e | /ex_04_02.py | UTF-8 | 369 | 3.796875 | 4 | [] | no_license |
def computepay(h,r):
if h > 40:
temp1 = 40.0*r
temp2 = (h-40.0)*r*1.5
pay = temp1 + temp2
else:
pay = h*r
return pay
hours = input("Enter Hours:")
rate = input("Enter Rate:")
try :
h = float(hours)
r = float(rate)
except:
print("Error, please enter numeric input... | true |
aabca5398a4dd69731a62754972a30204b87b987 | Python | meghdeepj/patrol_rl | /prac_code/car_env.py | UTF-8 | 411 | 3.234375 | 3 | [] | no_license | #OpenAI Gym basics
#Create Environment for cart-pole
import gym
import time
env = gym.make('CartPole-v0')
env.reset()
for i in range(1000):
env.render()
env.step(env.action_space.sample())
time.sleep(.02)
env.close()
"""
import gym
env = gym.make('CartPole-v0')
env.reset()
for _ in range(1000):
env.render()
... | true |
65124f92d28fab2c5b4b291f43a5f66a496705a5 | Python | sinamoqadam/GeneticAlgorithm-8Queen | /main.py | UTF-8 | 1,290 | 3.875 | 4 | [
"MIT"
] | permissive | # Application of genetic algorithm on 8queen problem
from geneticAlgorithm import initializeRandomPopulation, crossover, mutation, sortPopulation, countThreat
from queenBoard import printBoard
populationSize = 20 # Number of chromosomes
chromosomeSize = 9 # Number of queens (genes in each chromosome)
iterations = 100... | true |
b6f221560a5fc3193465da8468a6bbe914961832 | Python | reviewboard/reviewboard | /reviewboard/admin/validation.py | UTF-8 | 1,554 | 2.96875 | 3 | [
"MIT"
] | permissive | from django.core.exceptions import ValidationError
from django.utils.translation import gettext as _
def validate_bug_tracker(input_url):
"""Validate a bug tracker URL.
This checks that the given URL string contains one (and only one) `%s`
Python format specification type (no other types are supported).
... | true |
e103cdb58c1c064c0e96d1304bf716020759feb8 | Python | poyrazb/thomson-problem | /thomson_problem.py | UTF-8 | 1,188 | 3 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 6 09:44:02 2020
@author: souzam
"""
import tensorflow as tf
import numpy as np
import numpy.linalg as la
import matplotlib.pyplot as pl
from mpl_toolkits.mplot3d import Axes3D
import time
import os
# Uncomment this to hide all the ugly status messages
#... | true |
d7134344b5cf2041809b3ee260ce54ddeb8aee9d | Python | GlintW/Intern.MT | /simple-tensorflow-demo/4.demos/5.lossTest.py | UTF-8 | 7,468 | 3.578125 | 4 | [
"MIT"
] | permissive | """
损失函数 loss
预测值(predict)(y)与已知答案(target)(y_)的差距
| -> 均方误差 MSE Mean Squared Error tf.reduce_mean(tf.square(y, y_))
loss最小 -> | -> 交叉熵 Cross Entropy tf.reduce_sum(tf.where(tf.greater(y, y_), if_true, if_false))
| -> 自定义 -tf.reduce_mean(y_ ... | true |
6462913b76276254a2a86cfea3ab367525ffe039 | Python | abrahampost/adventofcode | /day5/part2.py | UTF-8 | 682 | 3.828125 | 4 | [] | no_license | def to_binary(letters, i):
return i.replace(letters[0], "0").replace(letters[1], "1")
with open("input.dat", "r") as file:
highest = 0
seats = set()
for line in file.readlines():
row = int(to_binary(("F", "B"), line[:7]), base=2)
column = int(to_binary(("L", "R"), line[7:10]), base=2)
... | true |
ab760ec03961385277e7396daf1b0e07414debf4 | Python | msiplab/EicEngLabIV | /gauss_kmeans.py | UTF-8 | 5,685 | 3.078125 | 3 | [
"MIT"
] | permissive | """GaussianFeaturesWithKmenasモジュール
Copyright (c) 2020, Shogo MURAMATSU, All rights reserved.
"""
import numpy as np
import pandas as pd
from sklearn.cluster import KMeans
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
from sklearn.pipeline import make_pipeline
f... | true |
fd886af60e58fe5d9762d9e6259fa8fb0a0265ee | Python | petrokn/LocalizationTDOA | /src/client/microphone_proxy.py | UTF-8 | 1,814 | 2.796875 | 3 | [
"MIT"
] | permissive | import logging
import socket
import time
from cPickle import dumps
class MicrophoneProxy:
def __init__(self, server_address, server_port, id):
self.__server_address = server_address
self.__server_port = server_port
self.id = id
self.__message_check_len = 65535 - 28 - 36
sel... | true |
d40be9db458b97173ae7ca036c0da8b48eca1250 | Python | sean578/advent_of_code | /2015/14/14.py | UTF-8 | 1,002 | 3.421875 | 3 | [] | no_license | input_data = open('input.txt', 'r')
time = 2503
def get_data(line):
the_data = {}
line_as_list = line.strip('\n').strip('.').split(' ')
the_data['speed'] = int(line_as_list[3])
the_data['go_time'] = int(line_as_list[6])
the_data['stop_time'] = int(line_as_list[13])
return the_data
def calc_di... | true |
aaaeb46df4c07cd9554d4e7445e5c899c37e810d | Python | ankitgoyalgithub/churn | /health_assessment/Lib/healthassessment.py | UTF-8 | 7,069 | 2.59375 | 3 | [] | no_license | import pandas as pd
import numpy as np
import math
import random
import datetime as dt
class HealthAssessment:
def __init__(
self, ID, target, churn_date, snapshot_date, target_window=8, metrics_col=[]
):
self.use_case = "Gainsight"
self.ID = ID
self.target = target
sel... | true |
60a9bb0c093b9f9b556f8e0869caaa1ce64dcb11 | Python | JohnGoure/python-crash-course | /Chapter-5/conditional-tests.py | UTF-8 | 468 | 3.546875 | 4 | [] | no_license | pepperoni = 'pepperoni'
sausage = 'sasauge'
toppings = ["pepperoni", "sasauge", "supreme", "mushrooms"]
print("Is pizza topping == 'pepperoni'? I predict True.")
print(pepperoni == 'pepperoni')
print(pepperoni == 'sasuage')
if (len(toppings) > 3):
print("There are a lot of toppings.")
if (pepperoni in toppings a... | true |
83623bbc230a790014987203d3d83d3c5b957524 | Python | chisaipete/flow | /process_progression.py | UTF-8 | 2,480 | 2.59375 | 3 | [] | no_license | #!/usr/bin/env python
from notes import google_sheets
import json
from pprint import pprint
from datetime import datetime
def convert_to_date(timestamp):
return str(datetime.utcfromtimestamp(int(timestamp)/1000).strftime('%m/%d/%Y'))
def convert_to_lbs(kgs):
# rounds results to .5 lb granularity (matches pla... | true |
b399960880022f324fea470a02546406999cfc6f | Python | koonerts/algo | /py-algo/grokk-tci/top-k-elements.py | UTF-8 | 11,535 | 4.3125 | 4 | [] | no_license | from heapq import *
import math
def find_k_largest_numbers(nums, k):
min_heap = []
for num in nums:
if len(min_heap) < k:
heappush(min_heap, num)
elif num > min_heap[0]:
heappushpop(min_heap, num)
return min_heap
def find_Kth_smallest_number(nums, k):
"""
... | true |