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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
286a75d8d83a1394971efd152e638f58862d1252 | Python | rafaelperazzo/programacao-web | /moodledata/vpl_data/309/usersdata/299/73585/submittedfiles/atm.py | UTF-8 | 161 | 2.78125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from __future__ import division
import math
#COMECE SEU CODIGO AQUI
#entrada
valor=int(input('Digite o valor: ')
a=20
b=10
c=5
d=2
e=1
| true |
4eac959e01cab4d612d24a1003ee76393acd3cfc | Python | rolandstaring/machikoro | /content/dice/show_multi_dice.py | UTF-8 | 2,301 | 2.765625 | 3 | [] | no_license |
import sys
import random
from PyQt5 import QtWidgets as qtw
from PyQt5 import QtGui as qtg
from PyQt5 import QtNetwork as qtn
from PyQt5 import QtCore as qtc
class Dice(qtw.QWidget):
def __init__(self, nr_of_dices ):
super().__init__()
self.title = 'Roll the dice'
self.left = 10
self.top = 10
self.width... | true |
d05708c7060f7101dcedd9cab999bfa5feeed119 | Python | lioneleoy/FlaskAPI | /Basics/basicClass.py | UTF-8 | 236 | 3.15625 | 3 | [] | no_license | class test:
def __init__(self):
self.name ="lionel"
self.age = 25
self.numbers= (1,2,3,4,5)
def total(self):
result = sum(self.numbers)
return result
test1 = test()
print test1.total() | true |
866268df2d7924f71edde6c7fa631e085cf0bc26 | Python | facebookresearch/vizseq | /vizseq/scorers/_cider/__init__.py | UTF-8 | 6,749 | 2.6875 | 3 | [
"MIT",
"BSD-2-Clause-Views"
] | permissive | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Adapted from
# https://github.com/tylin/coco-caption/blob/master/pycocoevalcap/cider/cider_scorer.py
# (authored by Tsu... | true |
f93f1ed2b88f7c102d44add6cff0c1a9697250e5 | Python | Hrishi29/anwala.github.io | /Assignments/A3/read.py | UTF-8 | 1,122 | 2.71875 | 3 | [] | no_license | import justext
import re
para = ''
d = {}
inv = []
count = 1
while (count < 1001):
with open('raw_html/%s.html' % count, 'r', encoding='utf-8') as fp:
#reading the files for raw html content
wordstring = fp.read()
#extracting linguistic sentences from the content by excluding the boilerplate content
paragrap... | true |
36e4215c4f645afadedb979e072c1714196de3c4 | Python | byi649/Design-Automation-Optimisation-for-Multi-Material-3D-Printing | /MultiMaterialBeam/heuristicVoxels.py | UTF-8 | 2,338 | 2.6875 | 3 | [] | no_license | import blackbox
import numpy as np
import matplotlib.pyplot as plt
import algos
from toolkit import *
N = 6
#ElementOrder = 1
if __name__ == '__main__':
NGEN = 10
verbose = True
nVoxels = 40
nPop = 10
algorithm = "GA_voxel"
if algorithm == "GA_voxel":
(bin, fbest, best) = algos.GA_... | true |
5d9e70e7feacd2c208ef1afc8d9431d1f3e0d0a0 | Python | KenAdeniji/WordEngineering | /IIS/WordEngineering/Python/flask.pocoo.org/BibleBookFile.py | UTF-8 | 1,618 | 3.359375 | 3 | [] | no_license | """
2020-02-16 Created. john.zelle@wartburg.edu; Postal address: Department of Math/CS/Physics Wartburg College 100 Wartburg Blvd. Waverly, IA 50677
http://127.0.0.1:5000
http://127.0.0.1:5000/bibleBooks
http://127.0.0.1:5000/bibleBook/John
https://www.pythonforbeginners.com/dictionary/how-to-use-dictionaries-i... | true |
546387a5f92bbfd273f7cfedfbb9a2064df2800f | Python | geekori/numpy | /src/chapter02/demo10.py | UTF-8 | 354 | 3.84375 | 4 | [] | no_license | # NumPy数组：分割数组
from numpy import *
# 水平分割、垂直分割、深度分割
# 水平分割
a = arange(9).reshape(3,3)
print(a)
b = hsplit(a,3)
print(b[0])
print(b[2])
# 垂直分割
print("---------")
c = vsplit(a,3)
print(c)
print(c[0])
print(c[2])
# 深度分割
a = arange(27).reshape(3,3,3)
print(a)
b = dsplit(a,3)
print(b)
| true |
4265f15f595de0b0123642eae840c30225b25e5e | Python | SMEISEN/pyWATTS | /examples/example_keras.py | UTF-8 | 4,044 | 2.859375 | 3 | [
"MIT"
] | permissive | # -----------------------------------------------------------
# This example presents the code used in the advanced example
# guide in the pyWATTS documentation.
# -----------------------------------------------------------
import pandas as pd
from sklearn.preprocessing import StandardScaler
from tensorflow.keras im... | true |
26d7125708f548872f408eb52b99d186f4d5245c | Python | nelhage/taktician | /python/tak/ptn/ptn.py | UTF-8 | 3,184 | 2.609375 | 3 | [
"MIT"
] | permissive | import re
import attr
import tak
from . import tps
@attr.s
class PTN(object):
tags = attr.ib()
moves = attr.ib()
@classmethod
def parse(cls, text):
head, tail = text.split("\n\n", 1)
tags_ = re.findall(r'^\[(\w+) "([^"]+)"\]$', head, re.M)
tags = dict(tags_)
tail =... | true |
01d34de19d09ddd4405a0ef79c1664d25c4a0847 | Python | PacktPublishing/OpenCV-4-for-Secret-Agents | /Section3/deep-learning-opencv/imageClassification.py | UTF-8 | 1,049 | 2.890625 | 3 | [
"MIT"
] | permissive | import numpy as np
import cv2
import time
# load the input image from disk
image = cv2.imread("images/image_02.jpg")
# load the class labels from disk
rows = open("synset_words.txt").read().strip().split("\n")
classes = [r[r.find(" ") + 1:].split(",")[0] for r in rows]
blob = cv2.dnn.blobFromImage(image, 1, (224, 2... | true |
3b63626bd15c9a6f82fcece252b245be5dc98d71 | Python | tathyam/bots_for_some_indian_shopping_sites | /snapdeal1.py | UTF-8 | 1,058 | 2.59375 | 3 | [] | no_license | #! /usr/bin/python2.7
#imports for parsing
import urllib2
from bs4 import BeautifulSoup
import json
snapdeal="http://www.snapdeal.com"
print "opening site :"+snapdeal
#req=urllib2.Request("http://www.snapdeal.com/offers/best-discounts",headers={'User-Agent':"Magic Browser"})
#flip=urllib2.urlopen(req);
#"http://www.... | true |
65a59d5150f77daeed370a0d2e6ad70007d98eee | Python | johnhungerford/hackerrank-solutions | /project-euler/prime-factors-binomial-coefficient.py | UTF-8 | 3,657 | 3.28125 | 3 | [] | no_license | import sys
all_primes = [2] # Cache of primes found so far (see gen_primes below)
non_primes = {4:[2]} # Maps composites to prime factors
def gen_primes():
# The running integer that's checked for primeness
i = 0
q = 2
while True:
if i < len(all_primes):
yield all_primes[i... | true |
6d4b352769fa443601861d1d5578aefbdea8382d | Python | kasteph/schemepy | /scheme_test.py | UTF-8 | 4,253 | 3.328125 | 3 | [] | no_license | import unittest
from parser import tokenize, parser, read
from environment import Environment
from evaluator import Evaluator
class TestParser(unittest.TestCase):
line = '((lambda(x) x) "Lisp")'
def test_x(self):
self.assertEqual(tokenize('x'), ['x'])
def test_x_read(self):
self.assertE... | true |
97894fe3902d076924854cc8d2b0015bcde2efef | Python | vanpact/pyradius | /imageConverter.py | UTF-8 | 3,191 | 2.890625 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Oct 12, 2012
@author: yvesremi
"""
from PyQt4 import QtGui
import numpy, cv2
import gc, sys, debugsp
class ImageConverter(object):
"""Class to convert a numpy array to QImage and a QImage to a Numpy array."""
def __init__(self):
"""Construct... | true |
c9f77eb3cd63f6b994cdcf334641066f370c188e | Python | mfong92/compbio | /nussinov/nussinov.py | UTF-8 | 2,383 | 3.609375 | 4 | [] | no_license | #! /usr/bin/python
import sys
import random
import re
import time
#timeStart = time.time(); #time check statement
'''
Implementation of the Nussinov Algorithm given an input of RNA as either upper or lower case.
Returns the number of maximum basepairs, assuming that there are no pseudoknots.
Input format: python nu... | true |
cf92713678353951de5c959551c0957b805bfac1 | Python | Machele-codez/todo | /apps/tasks/forms.py | UTF-8 | 1,220 | 2.640625 | 3 | [] | no_license | from .models import Task
from django import forms
from django.http import request
import datetime, pytz
class TaskForm(forms.ModelForm):
due_date = forms.DateField(widget=forms.DateInput(attrs={'type': 'date'}))
due_time = forms.TimeField(widget=forms.TimeInput(attrs={'type': 'time'}))
class Meta:
... | true |
e482aa24f3abe617c2590c7f6bd93de313223e36 | Python | wewe89/Tools | /知识库.py | UTF-8 | 5,674 | 2.765625 | 3 | [] | no_license | import xlrd
import mysql.connector
import re
import string
def connectdb():
print('连接到mysql服务器...')
# 打开数据库连接
# 用户名:hp, 密码:Hp12345.,用户名和密码需要改成你自己的mysql用户名和密码，并且要创建数据库TESTDB，并在TESTDB数据库中创建好表Student
config = {
'host': '127.0.0.1',
'user': 'root',
'password': '123456',
'port... | true |
7101f3b4a37bc55891656437da8d73e15299cf2d | Python | RessCris2/algorithm020 | /Week4/跳跃游戏.py | UTF-8 | 440 | 2.984375 | 3 | [] | no_license | # 跳跃游戏
class Solution(object):
def canJump(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
reach = 0
n = len(nums)
for i,x in enumerate(nums):
if i <= reach:
reach = max(reach, i+nums[i])
if reach... | true |
373945d1b16a2081006d2fdeeb75c187ed2b06f5 | Python | rack-leen/python-tutorial-notes | /chapter5_data_structures/list_queue.py | UTF-8 | 347 | 3.5625 | 4 | [] | no_license | #!/usr/bin/env python
# coding=utf-8
from collections import deque #被设计来从末尾更快速的append and pop元素
queue = deque(["Eric","Join","Michae"])
#从末尾增加元素
queue.append("Terry")
print(queue)
queue.append("Graham")
print(queue)
#从队列左边退出队列
queue.popleft()
print(queue)
queue.popleft()
print(queue)
| true |
61d7226da68de2e20f027e6dc72076446b264971 | Python | achuthasubhash/digital-makeup-using-opencv | /bread.py | UTF-8 | 1,971 | 2.890625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 25 08:00:26 2020
@author: DELL
"""
import cv2
import face_recognition
from PIL import Image, ImageDraw
import numpy
jewel_img = cv2.imread("jewelery.png")
frame = cv2.imread('priyanka.jpeg')
frame = cv2.resize(frame,(432, 576)) #resize frame
# Returns a... | true |
236e3b07c2f127236715738b14ab82ecaa359046 | Python | sciglio/Python-Scripts | /Function_fit.py | UTF-8 | 2,295 | 3.484375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 20 13:54:16 2018
@author: marco
"""
"""FIT PROCEDURE IN PYTHON"""
"""VERSION 0.5"""
#GENERATE RANDOM DATA
import numpy as np # import math library
np.random.seed(0) # Seed the random number generator for reproducibility
x_data = np.linspace(-5, 5, num=50)... | true |
3b428aa9bab973bb8da7d704e4d3a521ae3790fb | Python | harmsm/linux-utilities | /combine_data.py | UTF-8 | 1,759 | 3.296875 | 3 | [
"Unlicense"
] | permissive | #!/usr/bin/env python
__description__ = \
"""
Combine a set of R-compatible files, re-indexing line counter and adding a
column for the input file. All comments and blank lines are removed. The
program assumes that each data file has a single-line header and a %10i first
column containing line numbers.
"""
__autho... | true |
de455dd6eede20d398af3a7b84fe2dc1f732bcac | Python | edgarinvillegas/deep-learning-v2-pytorch | /wasserstein-loss-gradient-2022/solution/tests.py | UTF-8 | 1,367 | 2.765625 | 3 | [
"MIT"
] | permissive | from typing import Callable
import torch
FAKE_LOGITS = torch.tensor([-0.2990, 1.6582, 0.0880, -0.2078, 0.1899, 1.9609, 0.1763, 0.9490,
-0.1863, 0.0479, -0.6072, 0.7648, 0.0189, 0.3165, 0.4645, -0.9585])
REAL_LOGITS = torch.tensor([-0.2219, 2.3058, -0.7330, -1.3858, -0.1590, ... | true |
ec462f886cae35f0fcf779a5c37a45d440e0eab2 | Python | csaddison/Physics-129L | /Homework_7/exercise1.py | UTF-8 | 2,158 | 3.265625 | 3 | [] | no_license | #------------------------------------------------------------
# Conner Addison 8984874
# Physics 129L
#------------------------------------------------------------
# Homework 7, Exercise 1
import math
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
import ccHistStuff as cc
# Loading dat... | true |
1f5e932b52314df0b3d6ed1ab97db055312c511f | Python | cadbane/rfactor-udp | /pyfactor/hd44780.py | UTF-8 | 1,186 | 2.640625 | 3 | [] | no_license | import RPi.GPIO as GPIO
from time import sleep
class HD44780:
def __init__(self, pin_rs=7, pin_e=8, pins_db=[25,24,23,18]):
GPIO.setwarnings(False)
self.pin_rs = pin_rs
self.pin_e = pin_e
self.pins_db = pins_db
GPIO.setmode(GPIO.BCM)
GPIO.setup(self.pin_e, GPIO.OUT)
GPIO.setup(self.pin_rs, GPIO.OUT)
... | true |
cf095fb7330e279d18bc45c92e7ee35f59896405 | Python | David-Papworth/Flask_practice | /flask_routes_excercise/app.py | UTF-8 | 305 | 3.03125 | 3 | [] | no_license | from flask import Flask
app = Flask(__name__)
@app.route('/')
@app.route('/home')
def home():
return 'This is the home page'
@app.route('/square/<int:number>')
def about(number):
return f'The square of {number} is {number**2}'
if __name__ == "__main__":
app.run(debug=True, host='0.0.0.0') | true |
91543af6cbc4d2982d6b22b139b6bdc57219d7bb | Python | wkslearner/skill_advance | /parameter_advance/arg_parse.py | UTF-8 | 849 | 2.71875 | 3 | [] | no_license | import argparse
import pandas as pd
from sklearn.datasets import load_iris
from sklearn.cross_validation import train_test_split
df=pd.DataFrame({'col1':[1,2,3,4],'col2':['a','b','a','c'],'col3':[7,8,9,10],'col4':[87,83,98,19]})
df=pd.pivot_table(df,index='col1',columns='col2',values=['col3','col4']).reset_index(level... | true |
0afe6711476703df52b7a023a0123bbc154bc446 | Python | jaime7981/Arduino_EFI | /EFI_map.py | UTF-8 | 1,111 | 2.796875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors
rpms = np.array([4000,3500,3000,2500,2000,1500,1000,500])
throttle = np.array([0,0,10,20,40,60,80,100,120])
efi_map = np.array([[17.2, 16.8, 15.5, 14.8, 13.8, 13.0, 12.2],
[17.0, 16.5, 15.0, 14.0, 13.4, 13.0, 12.4],
... | true |
0b537dce803fc0ce2d760e611bbd7c2bd672cf45 | Python | Jay23Cee/100_Day_Challenge | /Python/Merge_two_array.py | UTF-8 | 749 | 3.5 | 4 | [] | no_license | def mergeArrays(arr1, arr2, n1,n2):
i=0;
j=0;
k=0;
arr3 = [None] * (n1+n2)
while i < n1 and j < n2:
if arr1[i] > arr2[j]:
arr3[k] = arr2[j]
j= j+1
k =k+1
elif arr1[i] < arr2[j]:
arr3[k] = arr1[i]
i =i+1
... | true |
91210c24d407cab9a2e323df32cab7e71d39f88f | Python | Incarnation/home_risk_competition_kaggle | /LightGbmOneFold/LightGbmOneFold.py | UTF-8 | 3,566 | 2.765625 | 3 | [] | no_license | # coding:utf-8
import re
import os
import sys
import numpy as np
import pandas as pd
from category_encoders import TargetEncoder
from lightgbm import LGBMClassifier
from sklearn.metrics import roc_auc_score
np.random.seed(7)
class LightGbmOneFold(object):
def __init__(self, *, input_path, output_path):
s... | true |
a03a5db1b46461a8cadfea756fd6779974cc9b6d | Python | MaartenGr/KeyBERT | /keybert/_maxsum.py | UTF-8 | 2,287 | 3.421875 | 3 | [
"MIT"
] | permissive | import numpy as np
import itertools
from sklearn.metrics.pairwise import cosine_similarity
from typing import List, Tuple
def max_sum_distance(
doc_embedding: np.ndarray,
word_embeddings: np.ndarray,
words: List[str],
top_n: int,
nr_candidates: int,
) -> List[Tuple[str, float]]:
"""Calculate M... | true |
5193cb544250d1c78a0fc63a44b507c2f6297bd0 | Python | CORE-GATECH-GROUP/hydep | /src/hydep/internal/cram.py | UTF-8 | 6,946 | 2.96875 | 3 | [
"MIT"
] | permissive | """
Shadow of OpenMC CRAM solvers
Inspired and, in some places, copied from OpenMC
Copyright: 2011-2020 Massachusetts Institute of Technology and
OpenMC collaborators
https://docs.openmc.org
https://docs.openmc.org/en/stable/pythonapi/deplete.html
https://github.com/openmc-dev/openmc
"""
import numbers
import numpy... | true |
40313fa1029d5146bd1db0dd8857c60f6f5583d8 | Python | chinitacode/Python_Learning | /Concurrent_Programming/multhread/Daemon/test_daemon.py | UTF-8 | 1,865 | 4.09375 | 4 | [] | no_license | '''
如果你设置一个线程为守护线程，，就表示你在说这个线程是不重要的，在进程退出的时候，不用等待这个线程退出。
如果你的主线程在退出的时候，不用等待那些子线程完成，那就设置这些线程的daemon属性。
即，在线程开始（thread.start()）之前，调用setDeamon（）函数，设定线程的daemon标志。
（thread.setDaemon(True)）就表示这个线程“不重要”。
如果你想等待子线程完成再退出，那就什么都不用做。
或者显示地调用thread.setDaemon(False)，设置daemon的值为false。
新的子线程会继承父线程的daemon标志。
主线程会在所有的非守护线程退出后才... | true |
84f6519b65e3978b5a68e9e5f14b3d7873701555 | Python | catrina-brunkow/RA_Boyce_Astro | /tool/forms.py | UTF-8 | 2,507 | 2.75 | 3 | [] | no_license | from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, IntegerField, SelectField, FloatField, RadioField
from wtforms.validators import Optional, NumberRange, Regexp
class QueryForm(FlaskForm):
'''
QueryForm class
Used to generate a form with various fields that work as filters for ... | true |
a84b8449fcb995a9606f56cd782e8e07c4c91e7b | Python | IdrisovRI/python_test_application_backend | /helper/validate.py | UTF-8 | 248 | 2.890625 | 3 | [] | no_license | class PackageDataValidator(object):
@staticmethod
async def validate(package: str):
result = False
if "Symbol" in package and "Bid" in package and "Ask" in package:
result = True
return result
| true |
a374ae6b0f0d910c0d009ff9527102d2a844629b | Python | LuckyTiger66/py-scraping-analysis-book | /ch5/sqlite.py | UTF-8 | 1,334 | 3.1875 | 3 | [
"MIT"
] | permissive | import sqlite3
import csv
def execute_db(fname, sql_cmd):
conn = sqlite3.connect(fname)
c = conn.cursor()
c.execute(sql_cmd)
conn.commit()
conn.close()
def select_db(fname, sql_cmd):
conn = sqlite3.connect(fname)
c = conn.cursor()
c.execute(sql_cmd)
rows = c.fetchall()
conn.c... | true |
d7bbb36fd22d0cdbb9faffdd04f7206c16448f8e | Python | pluemthnn/ITCS451-AI | /assign1/checkpoint1.py | UTF-8 | 1,462 | 3.21875 | 3 | [] | no_license | import numpy as np
from hw1.envutil import gen_maze, render_maze
from hw1.pathfinding import MazeState, TreeNode
from hw1.pqueue import SimplePriorityQueue
maze1 = gen_maze(10, add_mud=True)
state1 = MazeState(maze1)
print(render_maze(maze1))
# try to perform action:
for action in state1.actions:
print('-' * 5... | true |
d09b14129c9aca67d2611b6ff8ca0223aaae381a | Python | deangroom/Demo-JSON | /main.py | UTF-8 | 543 | 3.046875 | 3 | [] | no_license | import json
with open('Stats.json') as stats:
#data = json.load(stats)
print(data)
Strength = input("How much strength? ")
data["Strength: "] = Strength
Constitution = input("How much constituion? ")
data["Constitution: "] = Constitution
Dexterity = input("How much Dexterity? ")
data["Dexterity: "] = Dexterity
Intell... | true |
a7cf226615af2e28fac60db046d5b8d5c17cda41 | Python | FionnMarf/ProjectEuler | /Euler003.py | UTF-8 | 1,069 | 3.6875 | 4 | [] | no_license | import math as math
#Need a reasonably efficient (sub exponential?) factorization algorithm for the largest prime factor
#ideas
#begin at sqrt(n) and work backwards until a prime factor is found (still exponential)
def factorize(n):
#finished = False
new = math.floor(math.sqrt(n))
print new
... | true |
99c426825645e581d9cb83d07fadccc5bdf954a8 | Python | RasaHQ/rasa | /rasa/core/evaluation/marker_tracker_loader.py | UTF-8 | 3,658 | 2.796875 | 3 | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0",
"MIT"
] | permissive | import random
from rasa.shared.exceptions import RasaException
from rasa.shared.core.trackers import DialogueStateTracker
from typing import Any, Iterable, List, Text, Optional, AsyncIterator
from rasa.core.tracker_store import TrackerStore
import rasa.shared.utils.io
STRATEGY_ALL = "all"
STRATEGY_FIRST_N = "first_n"
... | true |
cf1a659cf8fa34bb193b6eaece5f58043f417497 | Python | wgolling/BreathOfFire3Notes | /scripts/objects/test_datatracker.py | UTF-8 | 15,621 | 2.921875 | 3 | [] | no_license | from datatracker import *
import unittest
#
#
# Enums
class TestCharacter(unittest.TestCase):
def test_character_enum(self):
assert(Character)
assert(len(list(Character)) == 7)
class TestSkillInk(unittest.TestCase):
def test_skill_ink_enum(self):
assert(SkillInk)
assert(len(list(SkillInk)) == ... | true |
b6f9ca285f6f99f1f5f18a9d30afd3e3908340fd | Python | geometer/sandbox | /python/sandbox/rules/abstract.py | UTF-8 | 2,759 | 2.625 | 3 | [
"Apache-2.0"
] | permissive | class AbstractRule:
@classmethod
def priority(clazz):
return 2
class SyntheticPropertyRule(AbstractRule):
__instance = None
@staticmethod
def instance():
if SyntheticPropertyRule.__instance is None:
SyntheticPropertyRule.__instance = SyntheticPropertyRule()
retu... | true |
f4707040c0b2aa51cfb2e2926293ee883fece27a | Python | sayan1995/BFS-2 | /problem3.py | UTF-8 | 1,154 | 3.625 | 4 | [] | no_license | '''
Iterative:
Time Complexity: O(n)
Space Complexity: O(n)
Did this code successfully run on Leetcode : Yes
Explanation: Add all the elements to the hashmap and use bfs using queue to iterate through the hashmap and add importance
'''
"""
# Employee info
class Employee:
def __init__(self, id: int, importance: i... | true |
a764af339e51c416b5018cf854989fcfe2cba63d | Python | DTuscher/TA | /driveur.py | UTF-8 | 747 | 2.578125 | 3 | [] | no_license | import urx
from time import sleep
rob = urx.Robot("172.16.174.128")
rob.set_tcp((0, 0, 0.1, 0, 0, 0))
rob.set_payload(2, (0, 0, 0.1))
rob.set_simulation(True)
sleep(0.2) #leave some time to robot to process the setup commands
#rob.movel((0,0,0.1,0,0,0), relative=True)
try:
l = 0.05
v = 0.05
a = 0.3
... | true |
d8df627b266082ef08ba975f27733c253cd5d26f | Python | richardmitic/waview | /waview/waview.py | UTF-8 | 12,667 | 2.6875 | 3 | [] | no_license | #!/usr/bin/env python3
import curses
import sys
import argparse
import logging
import wave
import numpy as np
from scipy.io import wavfile
from scipy.signal import resample
INT16_MAX = int(2**15)-1
LOG = logging.getLogger("waview")
SAMPLE_FORMATS = {
"S16_LE": np.int16
}
def log_call(func):
ret = None
... | true |
f2f462185a604beaf2364d558906c591fc834f5f | Python | IlidanNaga/317_Hometask_Practicum | /Big_task_1/completing_task_2.py | UTF-8 | 2,003 | 2.984375 | 3 | [] | no_license | from cross_validation import knn_cross_val_score
from cross_validation import kfold
from sklearn.datasets import fetch_mldata
from random import seed
from random import shuffle
import numpy as np
# part_2
mnist = fetch_mldata("MNIST-original")
data = mnist.data / 255.0
target = mnist.target.astype("int0")
# после... | true |
fd3ed4e46570584aa95f908dcd533885f7f9ff8b | Python | abhayprakash/competitive_programming | /spoj/BISHOPS-5354458-src.py | UTF-8 | 93 | 2.984375 | 3 | [] | no_license | try:
while 1:
n=int(raw_input())
if n==1:
print 1
else:
print 2*(n-1)
except:0
| true |
79aea6a6a2e4984da3c648fda977b87feac4f8b1 | Python | alexnwang/SketchEmbedNet-public | /util/utils.py | UTF-8 | 4,565 | 2.515625 | 3 | [] | no_license | import os
import numpy as np
import tensorflow as tf
from multiprocessing import Process, Queue
from PIL import Image
from .quickdraw_utils import stroke_three_format, scale_and_rasterize
def process_write_out(write_fn, fn_args, max_queue_size=5000):
"""
Begins a parallelized writer that run... | true |
1bc4d43c44fbe332748fa7b743adc3b647dca9fd | Python | phrodrigue/URI-problems | /iniciante/1005/main.py | UTF-8 | 107 | 3.140625 | 3 | [] | no_license | n1 = float(input())
n2 = float(input())
media = (n1 * 3.5 + n2 * 7.5) / 11
print(f"MEDIA = {media:0.5f}") | true |
5bbcf2a37e2e39247e3efd46b5699262e671a043 | Python | rusianh/cours_python_basic_advance_dllt | /Unit7. FileIO - List/40.list.py | UTF-8 | 394 | 3.875 | 4 | [] | no_license | colors = ["red", "green", "blue"]
print(colors)
print(colors[0])
print(colors[1])
print(colors[2])
print(len(colors))
colors.append("yellow")
print(colors)
print(colors[3])
for i in range(4): #hard code: nên đổi 4 = len(colors) vì biết đây là 4
print(colors[i])
last_index = len(colors) - 1
print(colors[-1]) #... | true |
69d59e3f864b7181e836fcbc39236eefc16fa1db | Python | GJumge/lab01 | /strings.py | UTF-8 | 203 | 3.140625 | 3 | [] | no_license | strings = ['This', 'list', 'is', 'now', 'all', 'together']
sentence = ''
#sentence = 'yo ' + 'hello'
#print(sentence)
for word in strings:
sentence = sentence + ' ' + word
print(sentence[1:])
| true |
29516da2744665313717d7cf4229e0f352a81297 | Python | pedrorault/discordBot | /ballBot/ballCog.py | UTF-8 | 1,456 | 2.859375 | 3 | [] | no_license | import discord
from discord.ext import commands
from ballBot.ball import randomResponse
import random
class BallCog(commands.Cog):
def __init__(self,bot):
self.bot = bot
@commands.command(name='8ball')
async def _8ball(self,ctx):
msg = randomResponse()
await ctx.send(msg)
... | true |
1cfbed4f3226e8f697dd8ad78f2c5bcaad95dc16 | Python | ORNL/AADL | /model_zoo/TestFunctions_models.py | UTF-8 | 1,736 | 2.84375 | 3 | [
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 7 10:30:19 2020
@author: 7ml
"""
import torch
###############################################################################
class Paraboloid(torch.nn.Module):
def __init__(self, dim, condition_number=1.e3, device='cpu'):
super()._... | true |
556e661d7e79e28fbe563e37c0f17babc7b8ea73 | Python | pcidale/coffee-shop-udacity | /backend/src/api.py | UTF-8 | 4,473 | 2.515625 | 3 | [] | no_license | from flask import Flask, request, jsonify, abort
import json
from flask_cors import CORS
from .database.models import db_drop_and_create_all, setup_db, Drink
from .auth.auth import AuthError, requires_auth
app = Flask(__name__)
setup_db(app)
CORS(app)
'''
@TODO uncomment the following line to initialize the database... | true |
3d3757e11b539c07dc8059de34ae4ceacda5a5f7 | Python | BrunoAfonsoHenrique/CursoEmVideoPython | /AlgoritmosPython_parte1/059.py | UTF-8 | 136 | 4.09375 | 4 | [] | no_license | num = int(input('Digite um numero: '))
if num % 10 == 0:
print('É divisivel por 10.')
else:
print('Não é divisivel por 10.')
| true |
c267cd41680d406de0d2562950877552b492276f | Python | dw/py-bulksms | /old/Commander.py | UTF-8 | 2,511 | 2.796875 | 3 | [] | no_license | """
BulkSMS/Commander.py: Interactive curses interface to BulkSMS.
"""
__author__ = 'David Wilson'
import os, time, sys
import curses, curses.textpad
import BulkSMS, BulkSMS.PhoneBook
def real_interactive(screen):
'''
Act as an interactive curses application. This is called from
curses.wrapper.
'''
screen.era... | true |
3ee925dd40e12495e1aa1aeeb8bfc4a8e52462c9 | Python | ipcoo43/algorithm | /lesson170.py | UTF-8 | 275 | 3.53125 | 4 | [] | no_license | print('''메모리공간을 동적으로 사용하여 데이터 관리하기''')
total=0
num = int(input('입력 할 수 >> '))
for i in range(num):
data = int(input('{} 번 점수 ? '.format(i+1)))
total += data
print('총점 = {}, 평균 = {}'.format(total, total//num)) | true |
782ba656b72436b57e36bbe663db8e805e7c816b | Python | zivadinac/pmf-master | /src/utils.py | UTF-8 | 2,512 | 2.734375 | 3 | [] | no_license | """Utility functions and variables"""
import tensorflow as tf
import gym
import numpy as np
from skimage.transform import resize
from skimage.color import rgb2grey, gray2rgb
import matplotlib.pyplot as plt
import time
import pickle
def getTerminalStates(env):
""" Get terminals states of a given env. """
pS = e... | true |
64db8a8fa4f5b764cc488d884eaa9d7101fcf1b8 | Python | harshilpatel312/dbgame | /background.py | UTF-8 | 842 | 3.71875 | 4 | [] | no_license | import pygame
class Background:
# scrolling background logic: https://www.youtube.com/watch?v=PjgLeP0G5Yw
def __init__(self, image):
self.bg = pygame.image.load(image)
self.bg_x = 0 # position of first background image
self.bg_x2 = self.bg.get_width() # position of second background ... | true |
b479ea2025f8d3d427fa045df67325c83d2f0faf | Python | MarkDM/red-python-scripts | /windows10-wifi_ptBr.py | UTF-8 | 1,159 | 2.671875 | 3 | [
"MIT"
] | permissive | import subprocess
import re
command_output = subprocess.run(
["netsh", "wlan", "show", "profiles"],
capture_output=True).stdout.decode(encoding='iso-8859-1')
profile_names = (re.findall(r"[^:|\s]+$", command_output, flags=re.MULTILINE))
wifi_list = []
if len(profile_names) != 0:
for name in profile_names... | true |
47bf658db25a11f27909ad69fb9b3d0006958752 | Python | AufzumAtem/ItProg | /IT Prog 2/2.3.py | UTF-8 | 1,320 | 3.59375 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 2 13:14:00 2018
@author: Romeo
"""
class bankaccount:
def __init__(self, currency, first , last):
self.first = first
self.last = last
self.balance = 0
self.currency = currency
def deposit(self, amount):
if amount ... | true |
8464f88da72e5d80e9d3f3b3dad37faed276a841 | Python | SIMELLI25/esercizi_python | /pasta.py | UTF-8 | 2,359 | 2.640625 | 3 | [] | no_license | from spalla import Verifica
Verifica.firma("Simone Melli")
#Verifica.stampa_esercizi()
#Verifica.stampa_voto()
'''
es = Verifica.inizia_esercizio(1)
print(es)
print(es.dati)
es.consegna(es.dati.lower())
'''
'''
es = Verifica.inizia_esercizio(2)
print(es)
print(es.dati)
es.consegna(es.dati*es.dati)
''... | true |
e98702cbadbb064f457b83a89be85cb7b80a1cc8 | Python | RFloTeo/RoboStuff | /test.py | UTF-8 | 480 | 2.828125 | 3 | [] | no_license | import brickpi3
import time
BP = brickpi3.BrickPi3()
turn_dps = 100
move_dps = -100
def TurnLeft():
BP.set_motor_dps(BP.PORT_A, turn_dps)
BP.set_motor_dps(BP.PORT_B, -turn_dps)
time.sleep(1.42)
BP.reset_all()
try:
for i in range(4):
BP.set_motor_dps(BP.PORT_A, move_dps)... | true |
72c137ae0e8b5ea65f28765935993b1482212976 | Python | wheatmushi/projectEuler | /euler_021 (Amicable numbers).py | UTF-8 | 427 | 3.171875 | 3 | [] | no_license | from math import ceil, sqrt
def d(n):
div = [1,]
for i in range(2,ceil(sqrt(n))+1):
if n%i == 0:
div.append(i)
div.append(int(n/i))
return sum(div)
maximum=10000
amicables=[]
n_div={}
for n in range(1,maximum):
n_div[n] = d(n)
for n in range(1,maximum):
if n_div[n... | true |
eb0a19c684bbcbc0236d8077667dd08d93ee711b | Python | lobhaum/python | /py2zumbis/arquivoPratica01.py | UTF-8 | 160 | 3.296875 | 3 | [] | no_license | f = open('arquivoPratica01.txt', 'w')
f.write('Gravando uma única linha no arquivo')
for l in range(1, 101):
f.write(f'Gravando a linha {l} \n')
f.close()
| true |
44620fbe6ec751547c32650876eef0f6e0f32bf0 | Python | PraneshASP/LeetCode-Solutions-2 | /904 - Fruit into Baskets.py | UTF-8 | 3,028 | 3.4375 | 3 | [] | no_license | # Solution 1: Relatively straight forward, just make sure to handle all the edges cases
class Solution(object):
def totalFruit(self, tree):
"""
:type tree: List[int]
:rtype: int
"""
fruit_one = 0
fruit_one_type = None
fruit_two = 0
fruit_two_type = Non... | true |
b89127dbc34619542e8db0960036d3c05ad66529 | Python | grchristensen/django-app | /functional_tests.py | UTF-8 | 551 | 2.984375 | 3 | [] | no_license | from selenium import webdriver
import unittest
class TestToDo(unittest.TestCase):
def setUp(self):
self.browser = webdriver.Firefox()
def tearDown(self):
self.browser.quit()
def test_can_start_a_list_and_retrieve_it_later(self):
# Bob has heard about this awesome new to-do app.
... | true |
327af45312be5354133bbb7c1cc271667680c660 | Python | silky/bell-ppls | /env/lib/python2.7/site-packages/observations/r/monica.py | UTF-8 | 2,200 | 2.578125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def monica(path):
"""WHO Monica Data
The `monica` data frame has 6357 ... | true |
c0437c7405b57b734606c9a48135291d1b0651a8 | Python | hitanshkadakia/cool_text_making | /cooltext.py | UTF-8 | 208 | 2.75 | 3 | [
"Apache-2.0"
] | permissive | import os
from pyfiglet import Figlet
def cool(text):
cooltext=Figlet(font="slant")
os.system("cls")
return str(cooltext.renderText(text))
if __name__ == "__main__":
print(cool("Happy_coding01")) | true |
40c58a95ba8611443dbb3c78d1bd7bf9142465b8 | Python | mentecatoDev/python | /diccionarios/03.py | UTF-8 | 554 | 3.828125 | 4 | [] | no_license | """
Ejercicio 03
Escribir un programa que lea un log de correo construya un histograma usando
un diccionario para contar cuántos mensajes se recibieron de cada dirección
de correo electrónico y visualice los resultados.
"""
try:
fhandle = open(input("Introduzca el nombre del fichero: "))
except IOError:
print... | true |
66aa4c6e162ffcaefa351728e6020354bc658815 | Python | AIRI-Institute/GENA_LM | /downstream_tasks/promoter_prediction/dataset_generator.py | UTF-8 | 1,703 | 2.859375 | 3 | [
"MIT"
] | permissive | from Bio import SeqIO
import numpy as np
import pandas as pd
np.random.seed(42)
print('Please, input fasta filename: ')
path = input()
ind = path.find('len')
name = path.split('.')[0]
length = name[ind:]
count = 0
sequences = [] # Here we are setting up an array to save our sequences for the next step
for seq_record... | true |
fc932596eaa40b26550dad42f2ae3eaeb8f829bb | Python | JaneHQ1/Path-to-Python3-v2 | /thirteen/c1.py | UTF-8 | 988 | 3.078125 | 3 | [
"MIT"
] | permissive | """
13-1 分析抓取目的确定抓取页面
"""
# 我们做的爬虫只是功能非常简单的案例，不是一个完整的爬虫。
# 一个完整的爬虫非常复杂，反扒机制，自动登陆，代理IP等辅助功能非常繁琐。
# 这个案例没有利用任何爬虫框架，纯粹依靠之前学习过的知识来做数据的爬取。
# 爬虫小案例目标：
# 巩固之前学习的知识
# 学习合理编码的规范和方式
# 了解爬虫的基本原理
# Step 1
# 写爬虫一定要知道目的是什么，才能很好地去写爬虫。因为网络上数据和信息量非常大。
# 目标：爬熊猫TV英雄联盟分类下面主播人气排行。
# 怎么爬？
# 我们要的数据都在网站上，如何将数据抓取到自己的程序里？
# Step 2
# 充分了解网站结... | true |
a65f7a30c2b65ebfea3a0d1e834497766c2b0f51 | Python | IvanWoo/coding-interview-questions | /puzzles/same_tree.py | UTF-8 | 956 | 3.703125 | 4 | [] | no_license | # https://leetcode.com/problems/same-tree/description/
"""
Given the roots of two binary trees p and q, write a function to check if they are the same or not.
Two binary trees are considered the same if they are structurally identical, and the nodes have the same value.
Example 1:
Input: p = [1,2,3], q = [1,2,3]
Outp... | true |
0440473de32317a2a441c2c88efe29710497f744 | Python | dla1434/book_python_effective_flow_control | /chapter5/multiprocessing/daemon_process_join.py | UTF-8 | 400 | 2.640625 | 3 | [
"Apache-2.0"
] | permissive | ###################################
# File Name : daemon_process_join.py
###################################
#!/usr/bin/python3
import time
import multiprocessing
def daemon():
print ("Start")
time.sleep(5)
print ("Exit")
def main():
d = multiprocessing.Process(name="daemon", target=daemon)
d.da... | true |
b5b5924bd82f8a79c13c04a16ee2ef1901f89589 | Python | rigved-sanku/Covid-19-Prediction | /initializations.py | UTF-8 | 808 | 2.703125 | 3 | [] | no_license |
import numpy as np
class Layer:
def __init__(self,no_layers,num_nodes:list,activation:list):
self.layers=no_layers
self.nodes=num_nodes
self.activation=activation
self.params=self.intialize_weight()
self.grads={}
def intialize_weight(self):
np.r... | true |
2db7dbd201fe3c70b1f593d27383d3422ad7342c | Python | humuhimi/wkwk_nlp | /Chapter2/excecise2_7__.py | UTF-8 | 1,507 | 3.40625 | 3 | [] | no_license | """
16. ファイルをN分割する
自然数Nをコマンドライン引数などの手段で受け取り，入力のファイルを行単位でN分割せよ．同様の処理をsplitコマンドで実現せよ．
1.分割するファイル数を入力
2.分割ファイル数より分割行数を計算する
3.リストから分割行分別ファイルに書き込み 書き込んだ分はリストから削除する
3.5リストのループを終わらせる。
4.最後分割数以下のファイルを全て書き出す。(残ったリストを全て書き出す)
"""
# import math
# with open(path) as file:
# lines = data.readlines()
# count = len(lines)
# un... | true |
a239c5b64aedbbddc0506934e0719cc6f7b9133b | Python | zakkitao/python-turtle-for-fun | /用turtle画python的logo.py | UTF-8 | 1,684 | 3.125 | 3 | [] | no_license | import turtle as t
t.getscreen().bgcolor("black")
t.setup(650,350,200,200)
t.pensize(15)
t.pencolor("yellow")
t.hideturtle()
t.speed(10)
#p
t.pu()
t.goto(-150,50)
t.pd()
t.seth(-90)
t.forward(110)
t.pu()
t.goto(-150,0)
t.seth(-30)
t.pd()
t.forward(15)
t.circle(25,120)
t.forward(30)
t.seth(110)
t.ci... | true |
4ca0b6d157002a34a16a08333719560fa23f1785 | Python | iTrauco/list_exercises | /hello_python/loop_choose.py | UTF-8 | 574 | 3.8125 | 4 | [] | no_license | whole_game = True
while whole_game:
stil_playing = True
while stil_playing == True:
try:
user_number = int(input('Give me a number '))
if user_number == 3:
print('Well done')
stil_playing = False
else:
print('Try again'... | true |
942df48c51d298b43b216782297c6e23f9615c47 | Python | patilakshay227/Complex-Term-Project | /sectionExtract.py | UTF-8 | 1,749 | 2.671875 | 3 | [] | no_license | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 8 20:45:43 2018
@author: Ashwin
"""
import simplejson as json
import pickle
import datetime
import sqlite3
import traceback
import os
import dateutil.parser as dp
if os.path.exists("sectionintegritylog"):
os.remove("sectionintegritylog")
inp... | true |
de1784513fcb81341213164df6f9824bf80d74b7 | Python | compjour/compjour-class-site | /source/files/code/answers/json-quiz/5.py | UTF-8 | 833 | 3.125 | 3 | [] | no_license | import requests
import json
data_url = 'http://www.compjour.org/files/code/json-examples/single-tweet-librarycongress.json'
data = json.loads(requests.get(data_url).text)
print('A.', data['created_at'])
print('B.', data['user']['created_at'])
print('C.', data['text'])
print('D.', data['user']['screen_name'])
print('E.... | true |
27c0e344ba4da1d22e7aac1c3f6b0a644982c19c | Python | PratikshaDanti/APS | /Code Library/111.Self_dividing_numbers.py | UTF-8 | 613 | 3.5625 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 1 10:48:20 2020
@author: Pratiksha
"""
def selfDividingNumbers(left,right):
l1=[]
for i in range(left,right+1):
s=str(i)
if '0' in s:
continue
l=[]
for ele in s:
l.append(int(ele))
f... | true |
5604a9a252ac2f69d5160ba563dd8f7e4c222d98 | Python | dyf102/LC-daily | /binary-search/python/minimum-limit-of-balls-in-a-bag.py | UTF-8 | 726 | 3.4375 | 3 | [] | no_license | class Solution:
def minimumSize(self, nums: List[int], maxOperations: int) -> int:
"""LC 1760. Minimum Limit of Balls in a Bag
Args:
nums (List[int]): [description]
maxOperations (int): [description]
Returns:
int: [description]
"""
... | true |
4fa0eb2c306b95241dc939046e1801d0c203ea28 | Python | svmyhome/ToDoProg | /count_letter.py | UTF-8 | 311 | 3.578125 | 4 | [] | no_license | word_list = ['python', 'c++', 'c', 'scala', 'java']
l_task = input('Введите букву: ')
def count_letter(letter, word_list):
result = 0
for word in word_list:
if l_task in word:
print(word)
result += 1
return result
print(count_letter(l_task, word_list))
| true |
da59716d09afbababa736a1b81d07fa783578749 | Python | Nesqwik/SVL | /TP3/carte.py | UTF-8 | 2,650 | 3.546875 | 4 | [] | no_license | import caisse
from caisse import SoldeInsuffisantError
from caisse import NbTicketInsuffisantError
class Carte:
def __init__(self, solde, nb_ticket, prix_ticket):
'''
Permet d'instancier une carte avec :
solde / nombre de tickets / prix du ticket
>>> c = Carte(42,10,7)
... | true |
9d34133cc54538b8e471cf9cb837f72f02253c24 | Python | jennac/candidate_classifier | /splitfile.py | UTF-8 | 1,843 | 3.015625 | 3 | [] | no_license | from argparse import ArgumentParser
from csv import DictReader, DictWriter
def get_args():
parser = ArgumentParser(description='splits infile into n smaller chunks')
parser.add_argument('-f', '--filename',
help='file to import and split')
parser.add_argument('-n', '--number',
... | true |
cfa81530171b7ca0c9d735e36ea8cab2bab61035 | Python | PeterKoka1/SP500_Twitter_Sentiment_Compiler | /daily_update.py | UTF-8 | 3,567 | 3.09375 | 3 | [] | no_license | """
The script that will update (i.e., append a new row) the SPX_sentiment.csv file based on today's date
"""
import requests
import bs4 as bs
import pickle
import datetime
import pandas as pd
import warnings
from twitter_scraper_api import SPX_Twitter_Scraper
class Daily_Update(object):
def __in... | true |
34666e6cbe79a31db8d854adf5bb45a39e932661 | Python | DiliaoM/metaphor-recognition | /sen-embedding.py | UTF-8 | 4,902 | 2.671875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 29 15:05:44 2018
@author: Miranda
"""
import tensorflow as tf
from numpy.random import RandomState
import xlrd
import matplotlib.pyplot as plt
import numpy as np
import os
import xlsxwriter
from tensorflow.contrib import rnn
# 重置
tf.reset... | true |
b1f46446034177239f960268921d933eb471305f | Python | rivereasterling/Space-Invaders-with-a_Twist | /thetestCase.py | UTF-8 | 998 | 3.0625 | 3 | [] | no_license | import unittest
from Lab10 import Laser
from Lab10 import Player
from Lab10 import Ship
from Lab10 import Enemy
from Lab10 import collide
class All_Test(unittest.TestCase):
def test_will_work(self):
pass
#the above test wouldn't work for me so I know that somethings up with how pycharm does unit tests in p... | true |
fca1ac8f599bba174ecc1222b05cea867d669fa6 | Python | zhenchentl/Machine_Learning | /datatest20151218.py | UTF-8 | 486 | 2.546875 | 3 | [] | no_license | #coding=utf-8
#注意现在还是没有解决中显示乱码的状况
import pandas as pd
#from scipy import stats as ss
import matplotlib.pyplot as plt
csvfile=file('d:\Pycharm\\forpython.csv','rb')
df=pd.read_csv(csvfile)
print df.head()
print df.columns
print df.index
print df.ix[:].head(4)
print df.describe()
#print ss.ttest_1samp... | true |
d816cb5cbe65c466b8d40cc985720e415e787bf8 | Python | alineat/python-exercicios | /desafio051.py | UTF-8 | 416 | 4.21875 | 4 | [] | no_license | # Desenvolva um programa q leia o primeiro termo e a razão de uma PA. No final, mostre os 10 primeiros termos dessa
# progressão.
print('=' * 6, '10 TERMOS DE UMA PA', '=' * 6)
pri = int(input('Primeiro termo: '))
ra = int(input('Razão: '))
decimo = pri + (10 - 1) * ra #formula matematica para saber qual o 10º termo
f... | true |
960a7c00c4725b38e4923b85cc0d19629f4e5192 | Python | shhuan/algorithms | /leetcode/easy/CountandSay.py | UTF-8 | 1,262 | 3.6875 | 4 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
created by huash at 2015-04-11 19:11
The count-and-say sequence is the sequence of integers beginning as follows:
1, 11, 21, 1211, 111221, ...
1 is read off as "one 1" or 11.
11 is read off as "two 1s" or 21.
21 is read off as "one 2, then one 1" or 1211.
Given an integer n, generate the ... | true |
67009179574febaacd2329500b1af39ca421c37b | Python | rasooll/Python-Learning | /mian-term/barname2-adad-aval.py | UTF-8 | 473 | 3.6875 | 4 | [] | no_license | # Type your code here
def list_of_primes(n):
def isprime(r):
r = abs(int(r))
if r < 2:
return False
if r == 2:
return True
if not r & 1:
return False
for x in range(3, int(r**0.5)+1, 2):
if r % x == 0:
return False
return True
#print... | true |
51c6c113c03407b6eccb2d59338fa25231ff138c | Python | sibis-platform/ncanda-data-integration | /datadict/datadict_update.py | UTF-8 | 5,598 | 2.8125 | 3 | [
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python
# """
# Given a CSV with the current data dictionary and a list of patch files with
# updated / newly inserted variables, produce a full patched data dictionary.
# """
from __future__ import print_function
from __future__ import absolute_import
import sys
import pandas as pd
import csv
import argp... | true |
e49083ded17e4a107419d1467593ba06b21d6387 | Python | finiteV/backuptool | /dbman.py | UTF-8 | 3,703 | 3.0625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import sqlite3
class DBMan():
def __init__(self,dbname):
'''
只进行一次
'''
self.dbname = dbname+'.db';
self.conn = sqlite3.connect(self.dbname,check_same_thread = False);
self.conn.text_factory = bytes#解决中文出错
#if not exits, create it
... | true |
72382a9c63d92b144ca635258abd48e14b221c5e | Python | drtierney/hyperskill-EasyRiderBusCompany-Python | /Easy Rider Bus Company/task/easyrider/easyrider.py | UTF-8 | 2,142 | 2.953125 | 3 | [
"MIT"
] | permissive | import json
import re
all_keys = ['bus_id', 'stop_id', 'stop_name', 'next_stop', 'stop_type', 'a_time']
format_keys = ['stop_name', 'stop_type', 'a_time']
type_error_counter = dict.fromkeys(all_keys, 0)
format_error_counter = dict.fromkeys(format_keys, 0)
bus_id_values = {128, 256, 512}
stop_name_regex = r'[A-Z]\w+\s?... | true |
8767d2baae90d75e3fa37c7f86c411686a676e5c | Python | thisisparthjoshi/Basic-Programs | /factorial.py | UTF-8 | 187 | 3.890625 | 4 | [] | no_license | n=int(input("Please enter any number here--"))
Prod =1
for i in range (1, n):
Prod = Prod * n
n=n-1
print (" The factorial is:", Prod)
print (" The Value of N is:", n)
| true |
cc57d1fb8d19c971fb5e7be5093240e22ca0e7cd | Python | vincentmartin/m1la-python | /c3_3_fonctions.py | UTF-8 | 3,835 | 4.125 | 4 | [] | no_license | # -*-coding:utf-8 -*
'''
Created on 13 mars 2014
@author: vincent
Cours 3. : Fonctions.
'''
#######################################
# 1. Définition et utilisation de fonctions.
#######################################
# Définition d'une fonction qui affiche bonjour.
# 0 paramètres, pas de valeur de retour.
def bonjou... | true |
5d6aa84e048957f706f197d529c1d80928700547 | Python | gregnordin/parampool | /parampool/utils/__init__.py | UTF-8 | 7,305 | 2.78125 | 3 | [] | no_license | def legal_variable_name(name):
"""
Make a variable name from the string name.
Replace space by underscore and remove all illegal
characters in a Python variable name.
"""
var_name = name.replace(' ', '_').replace('/', '__')
for char in r'''[]{}\^%$#@!+-<>?|'"=~`,.;:''':
if char in va... | true |
6aa9fda03c5980cad1529b6f2f5bebef07fc38db | Python | YuriyKozhev/PythonCourse | /Lecture_8/fast_mode.py | UTF-8 | 1,285 | 3.453125 | 3 | [
"MIT"
] | permissive | import itertools
def puzzle_input() -> dict:
with open('input.txt') as f:
return {
layer: range_
for layer, range_ in (
map(int, row.strip().split(': ')) for row in f)}
def calc_scanner_pos(scanner_height: int, time_step: int) -> int:
"""
Calculates the po... | true |