code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment implementation of user based recommnder system
import pandas as pd
import math
comment we have imported few packages which include pandas and math. pandas for reading the data, math for the square root function
comment review = pd.read_csv(r"C:\\Users\\Devi Prajwala B S\\Downloads\\recommenders\\recommender_sys... | # implementation of user based recommnder system
import pandas as pd
import math
#we have imported few packages which include pandas and math. pandas for reading the data, math for the square root function
#review = pd.read_csv(r"C:\\Users\\Devi Prajwala B S\\Downloads\\recommenders\\recommender_systems\\googl... | Python | zaydzuhri_stack_edu_python |
function func3 thing1 thing2
begin
print string Life is pain. Anyone who says differently is selling something.
print string Oh also, { thing1 } and { thing2 }
set a = 1.23423523452345
plot a b label=string { a }
set str1 = format string {:.2f} {:.3f} a b
end function | def func3(thing1, thing2):
print("Life is pain. Anyone who says differently is selling something.")
print(f"Oh also, {thing1} and {thing2}")
a = 1.23423523452345
plt.plot(a, b, label=f"{a:.2f}")
str1 = "{:.2f} {:.3f}".format(a, b)
| Python | nomic_cornstack_python_v1 |
function IsPolyMesh3DSolid
begin
pass
end function | def IsPolyMesh3DSolid():
pass | Python | nomic_cornstack_python_v1 |
function read_all_nodes_containing value=string
begin
global _graph
if _graph is none
begin
print string read_all_nodes_containing(): Error: graph has not been initialized or opened.
return none
end
set lvalue = string value
if lvalue == string nan
begin
return none
end
if lvalue == string
begin
return none
end
set no... | def read_all_nodes_containing(value: str = '') -> Union[NodeMatch, None]:
global _graph
if _graph is None:
print('\nread_all_nodes_containing(): Error: graph has not been initialized or opened.\n\n')
return None
lvalue = str(value)
if lvalue == 'nan':
return None
if lvalue ... | Python | nomic_cornstack_python_v1 |
function sample_create_tenant project_id external_id
begin
set client = call TenantServiceClient
comment project_id = 'Your Google Cloud Project ID'
comment external_id = 'Your Unique Identifier for Tenant'
if is instance project_id binary_type
begin
set project_id = decode project_id string utf-8
end
if is instance ex... | def sample_create_tenant(project_id, external_id):
client = talent_v4beta1.TenantServiceClient()
# project_id = 'Your Google Cloud Project ID'
# external_id = 'Your Unique Identifier for Tenant'
if isinstance(project_id, six.binary_type):
project_id = project_id.decode('utf-8')
if isinsta... | Python | nomic_cornstack_python_v1 |
comment coding : utf8
comment Author : taosenlin
comment Time : 2020/3/19 11:56
comment 一、正则表达式的概述 （一套规则，不限于语法或工具）
comment 对于复杂、无规则的字符串进行操作（提取）
comment 二、正则表达式的作用
comment 1、主要是针对字符串进行操作，可以简化对字符串的复杂操作
comment （1）匹配：检查字符串是否符合正则表达式中的规则
comment （2）切割：按一定的规则将字符串分割成多个子字符串
comment （3）替换：将字符串中符合规则的字符替换成指定字符
comment （4）获取：获取与规格... | #coding : utf8
#Author : taosenlin
#Time : 2020/3/19 11:56
# 一、正则表达式的概述 （一套规则，不限于语法或工具）
# 对于复杂、无规则的字符串进行操作（提取）
# 二、正则表达式的作用
# 1、主要是针对字符串进行操作，可以简化对字符串的复杂操作
### （1）匹配：检查字符串是否符合正则表达式中的规则
# （2）切割：按一定的规则将字符串分割成多个子字符串
# （3）替换：将字符串中符合规则的字符替换成指定字符
### （4）获取：获取与规格相符的字符串
# 三、实用语法
# 1、通配符 .
# 可以匹配任何除换行符 "\n" 外的字符
# 例：
# 待... | Python | zaydzuhri_stack_edu_python |
comment 2020.01.06
string acmicpc.net/problem/1924 문제집 : 백준에서 가장 많이 풀린 문제 TOP 100 (입문자 추천) - njw1204 문제: 오늘은 2007년 1월 1일 월요일이다. 그렇다면 2007년 x월 y일은 무슨 요일일까? 이를 알아내는 프로그램을 작성하시오. 입력: 첫째 줄에 빈 칸을 사이에 두고 x(1<=x<=12)와 y(1<=y<=31)이 주어진다. 참고로 2007년에는 1, 3, 5, 7, 8, 10, 12월은 31일까지, 4, 6, 9, 11월은 30일까지, 2월은 28일까지 있다. 출력: 첫째 줄에 x월... | # 2020.01.06
"""
acmicpc.net/problem/1924
문제집 : 백준에서 가장 많이 풀린 문제 TOP 100 (입문자 추천) - njw1204
문제: 오늘은 2007년 1월 1일 월요일이다. 그렇다면 2007년 x월 y일은 무슨 요일일까?
이를 알아내는 프로그램을 작성하시오.
입력: 첫째 줄에 빈 칸을 사이에 두고 x(1<=x<=12)와 y(1<=y<=31)이 주어진다.
참고로 2007년에는 1, 3, 5, 7, 8, 10, 12월은 31일까지, 4, 6, 9, 11월은 30일까지, 2월은 28일까지 있다.
출력: 첫째 줄에 x월 ... | Python | zaydzuhri_stack_edu_python |
function _rotate_right self node heavy_child
begin
set parent = parent
set left = right
update node
set parent = parent
set right = node
update heavy_child
comment Update parent pointers (if any)
if parent
begin
call add_child heavy_child
end
else
begin
set root = heavy_child
end
end function | def _rotate_right(self, node, heavy_child):
parent = node.parent
node.left = heavy_child.right
node.update()
heavy_child.parent = parent
heavy_child.right = node
heavy_child.update()
# Update parent pointers (if any)
if parent:
parent.add_ch... | Python | nomic_cornstack_python_v1 |
function low_threshold_multiplier threshold low
begin
if threshold == 1
begin
return low * 1.5
end
if threshold <= 5
begin
set factor = 6
set multiplier = 11 - threshold / factor / 10 + 1
set low = low * multiplier
end
return low
end function | def low_threshold_multiplier(threshold, low):
if threshold == 1:
return low * 1.5
if threshold <= 5:
factor = 6
multiplier = (((11 - threshold) / factor) / 10) + 1
low = low * multiplier
return low | Python | nomic_cornstack_python_v1 |
import util
import json
string This document includes all the methods related in Robert's Coffee. The methods take their information from the pre-written json document roberts_coffee.json.
set data = load json open string tests/roberts_coffee.json
string Intro guides the user and tells what categories there are to choo... | import util
import json
"""
This document includes all the methods related in Robert's Coffee. The methods take their information from the
pre-written json document roberts_coffee.json.
"""
data = json.load(open('tests/roberts_coffee.json'))
"""
Intro guides the user and tells what categories there are to choose from... | Python | zaydzuhri_stack_edu_python |
function testFilePathMatchAfterFileRename self
begin
set feature = call TouchCrashedDirectoryBaseFeature options=dict string replace_path dict string old/dir string new/dir
assert true match call CrashedDirectory string new/dir/a call FileChangeInfo MODIFY string old/dir/a/FileName.cc string old/dir/a/FileName.cc
end f... | def testFilePathMatchAfterFileRename(self):
feature = TouchCrashedDirectoryBaseFeature(
options={'replace_path': {'old/dir': 'new/dir'}})
self.assertTrue(
feature.Match(CrashedDirectory('new/dir/a'),
FileChangeInfo(ChangeType.MODIFY, 'old/dir/a/FileName.cc',
... | Python | nomic_cornstack_python_v1 |
function __eq__ self other
begin
if not is instance other CsvDataLoadOptions
begin
return false
end
return __dict__ == __dict__
end function | def __eq__(self, other):
if not isinstance(other, CsvDataLoadOptions):
return False
return self.__dict__ == other.__dict__ | Python | nomic_cornstack_python_v1 |
function _simple_domain_name_validator value
begin
set checks = generator expression s in value for s in whitespace
if any checks
begin
raise call ValidationError call _ string The domain name cannot contain any spaces or tabs. code=string invalid
end
end function | def _simple_domain_name_validator(value):
checks = ((s in value) for s in string.whitespace)
if any(checks):
raise ValidationError(
_("The domain name cannot contain any spaces or tabs."),
code='invalid',
) | Python | nomic_cornstack_python_v1 |
function test_correct_sheme_host_sent_with_request self
begin
set req = call get_my_ip dry_run=true
assert in client at string host netloc
assert in client at string scheme scheme
assert in client at string get_my_ip at string path path
end function | def test_correct_sheme_host_sent_with_request(self):
req = self.httpbin.get_my_ip(dry_run=True)
self.assertIn(self.httpbin.client['host'], urlparse(req.prepared_request.url).netloc)
self.assertIn(self.httpbin.client['scheme'], urlparse(req.prepared_request.url).scheme)
self.assertIn(self... | Python | nomic_cornstack_python_v1 |
function solve input
begin
for number in range 1 input + 1
begin
if input % number == 0
begin
yield number
end
end
end function
set user_input = input
set solution = call solve integer user_input
for i in solution
begin
print i end=string
end | def solve(input: int):
for number in range(1, input + 1):
if input % number == 0:
yield number
user_input = input()
solution = solve(int(user_input))
for i in solution:
print(i, end=" ")
| Python | zaydzuhri_stack_edu_python |
function msg *args
begin
if messages_on
begin
print *args
end
end function | def msg(*args):
if messages_on:
print(*args) | Python | nomic_cornstack_python_v1 |
import os
import pickle
set train_mfcc = string processed/timit-train-mfcc-nor.pkl
set test_mfcc = string processed/timit-test-mfcc-nor.pkl
set train_phn = string processed/timit-train-phn.pkl
set test_phn = string processed/timit-test-phn.pkl
set train_wrd = string processed/timit-train-wrd.pkl
set test_wrd = string p... | import os
import pickle
train_mfcc = 'processed/timit-train-mfcc-nor.pkl'
test_mfcc = 'processed/timit-test-mfcc-nor.pkl'
train_phn = 'processed/timit-train-phn.pkl'
test_phn = 'processed/timit-test-phn.pkl'
train_wrd = 'processed/timit-train-wrd.pkl'
test_wrd = 'processed/timit-test-wrd.pkl'
''' 1. min/max length... | Python | zaydzuhri_stack_edu_python |
for i in aa
begin
if i == string
begin
set wordFound = false
end
else
if wordFound == false
begin
set cnt = cnt + 1
set wordFound = true
end
end | for i in aa:
if i == ' ':
wordFound = False
elif wordFound == False:
cnt += 1
wordFound = True | Python | zaydzuhri_stack_edu_python |
function buscarDato d V
begin
set i = 1
while i <= V at 0 and V at i != d
begin
set i = i + 1
end
if i <= V at 0
begin
return i
end
end function | def buscarDato(d, V):
i = 1
while i <= V[0] and V[i] != d:
i = i + 1
if i <= V[0]:
return i | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
string PeelAlign script Usage: main.py -p <peelPdb> -r <refPdb> [-b <benchMode>] [-c <peelChain>] [-s <refChain>] Options: -h --help help --version version of the script -p --peelPdb = peeled_pdb input pdb file, that will be peeled -r --refPdb = ref_pdb other input pdb file, that will be u... | #!/usr/bin/env python3
"""PeelAlign script
Usage:
main.py -p <peelPdb> -r <refPdb> [-b <benchMode>] [-c <peelChain>] [-s <refChain>]
Options:
-h --help help
--version version of the script
-p --peelPdb = peeled_pdb input pdb file, that will be peeled
-r --refPdb = ref_pdb ... | Python | zaydzuhri_stack_edu_python |
set naam = input string what is your name
set age = input string what is your age
set age = eval age
print naam + string you will be + string age + 1 + string next year | naam = input('what is your name')
age = input('what is your age')
age = eval(age)
print (naam + 'you will be' + str(age +1) + 'next year') | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/nev python3
comment -*- coding:utf-8 -*-
string @version: v1.0 @author: pengshp @license: Apache Licence @contact: pengshp3@outlook.com @subject: 直方图 @site: https://pengshp.github.io/ @software: PyCharm Community Edition @file: matplt06.py @time: 16/8/27 上午2:22
import matplotlib.pyplot as plt
import n... | #!/usr/bin/nev python3
# -*- coding:utf-8 -*-
"""
@version: v1.0
@author: pengshp
@license: Apache Licence
@contact: pengshp3@outlook.com
@subject: 直方图
@site: https://pengshp.github.io/
@software: PyCharm Community Edition
@file: matplt06.py
@time: 16/8/27 上午2:22
"""
import matplotlib.pyplot as plt
import numpy as np... | Python | zaydzuhri_stack_edu_python |
for i in range n
begin
for j in range i n
begin
set t = s at slice 0 : i : + s at slice j : :
if t == string keyence
begin
print string YES
exit
end
end
end
for else
begin
print string NO
end | for i in range(n):
for j in range(i, n):
t = s[0:i]+s[j:]
if t == 'keyence':
print('YES')
exit()
else:
print('NO')
| Python | zaydzuhri_stack_edu_python |
function __remove_signature self text sign
begin
set sign = right strip sign
set ind = reverse find text sign
if ind + length sign >= length text - CHAR_ERROR
begin
return text at slice : ind :
end
else
begin
return text
end
end function | def __remove_signature(self, text, sign):
sign = sign.rstrip()
ind = text.rfind(sign)
if ind + len(sign) >= len(text) - cf.CHAR_ERROR:
return text[:ind]
else:
return text | Python | nomic_cornstack_python_v1 |
comment 最后两节课为练习课，通过两节课的学习，最终绘制出小猪佩奇的家
comment 第九节课内容：画草坪和蓝天 两朵白云 太阳
from turtle import *
call screensize 1154 824 string #8fc3ff
call speed 5
comment 先定义一些基础函数
function go_to x y
begin
string 画笔移动函数
call penup
call goto x y
call pendown
end function
function pen_move m n=0
begin
string 画笔前后移动函数，默认向前移动
call penup
call ... | # 最后两节课为练习课，通过两节课的学习，最终绘制出小猪佩奇的家
# 第九节课内容：画草坪和蓝天 两朵白云 太阳
from turtle import *
screensize(1154, 824, "#8fc3ff")
speed(5)
# 先定义一些基础函数
def go_to(x, y):
'''画笔移动函数'''
penup()
goto(x, y)
pendown()
def pen_move(m, n=0):
'''画笔前后移动函数，默认向前移动'''
penup()
forward(m)
backward(n)
... | Python | zaydzuhri_stack_edu_python |
function create_account Name=none
begin
pass
end function | def create_account(Name=None):
pass | Python | nomic_cornstack_python_v1 |
function handle text mic profile
begin
call say string Starting music mode
call handleForever mic
call say string Exiting music mode
return
end function | def handle(text, mic, profile):
mic.say("Starting music mode")
handleForever(mic)
mic.say("Exiting music mode")
return | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment In[ ]:
import numpy as np
import pandas as pd
import matplotlib as plt
import random
comment In[ ]:
set data_titanic = read csv string ...\train.csv
comment data_titanic.head()
comment In[ ]:
head data_titanic 10
comment In[ ]:
set col_del = list string Passeng... | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import numpy as np
import pandas as pd
import matplotlib as plt
import random
# In[ ]:
data_titanic = pd.read_csv("...\\train.csv")
#data_titanic.head()
# In[ ]:
data_titanic.head(10)
# In[ ]:
col_del = ['PassengerId', 'Name', 'Ticket', 'Cabin']
data_titani... | Python | zaydzuhri_stack_edu_python |
function run self
begin
call serve
end function | def run(self):
self.server.serve() | Python | nomic_cornstack_python_v1 |
import numpy
from numpy import array
from algopy import UTPM , zeros
function F x
begin
set y = zeros 3 dtype=x
set y at 0 = x at 0 * x at 1
set y at 1 = x at 1 * x at 2
set y at 2 = x at 2 * x at 0
return y
end function
set x0 = array list 1 3 5 dtype=float
set x1 = array list 1 0 0 dtype=float
set D = 2
set P = 1
set... | import numpy; from numpy import array
from algopy import UTPM, zeros
def F(x):
y = zeros(3, dtype=x)
y[0] = x[0]*x[1]
y[1] = x[1]*x[2]
y[2] = x[2]*x[0]
return y
x0 = array([1,3,5],dtype=float)
x1 = array([1,0,0],dtype=float)
D = 2; P = 1
x = UTPM(numpy.zeros((D,P,3)))
x.data[0,0,:] = x0
x.data[1,... | Python | zaydzuhri_stack_edu_python |
function test_retain_query self
begin
assert true string ?per_page=15 in string content
end function | def test_retain_query(self):
self.assertTrue('?per_page=15' in str(self.response.content)) | Python | nomic_cornstack_python_v1 |
import pandas as pd
import xlrd
comment 코로나 엑셀 파일 경로
set xlpath = string ./corona_data.xlsx
comment pandas를 활용해 엑셀 파일을 불러와서, xldata라는 변수에 저장한다.
set xldata = call read_excel xlpath
comment 엑셀 데이터셋에서 필드명이 '확진자'인 데이터만 추출해서 출력한다.
set confirmed_cases = xldata at string 확진자
print confirmed_cases
print string ================... | import pandas as pd
import xlrd
# 코로나 엑셀 파일 경로
xlpath = './corona_data.xlsx'
# pandas를 활용해 엑셀 파일을 불러와서, xldata라는 변수에 저장한다.
xldata = pd.read_excel(xlpath)
# 엑셀 데이터셋에서 필드명이 '확진자'인 데이터만 추출해서 출력한다.
confirmed_cases = xldata['확진자']
print(confirmed_cases)
print('============================================================... | Python | zaydzuhri_stack_edu_python |
function reject_outliers data test_value m=5.0 stddev=none debug=false
begin
if no_numba
begin
function _reject_outliers data test_value m=5.0 stddev=none debug=false
begin
if stddev is none
begin
set stddev = standard deviation np data
end
set med = median data
set d = absolute data - med
set mdev = median d
if debug
... | def reject_outliers(data, test_value, m=5., stddev=None, debug=False):
if no_numba:
def _reject_outliers(data, test_value, m=5., stddev=None, debug=False):
if stddev is None:
stddev = np.std(data)
med = np.median(data)
d = np.abs(data - med)
... | Python | nomic_cornstack_python_v1 |
class LinkedNode
begin
function __init__ self value previous=none following=none
begin
set value = value
set previous = previous
set next = following
end function
end class
set players = integer input string Players:
comment starts with 0!
set marbles = integer input string Marble count:
comment number 0 is default
set... | class LinkedNode:
def __init__(self, value, previous=None, following=None):
self.value = value
self.previous = previous
self.next = following
players = int(input("Players: "))
marbles = int(input("Marble count: ")) # starts with 0!
marble_count = 1 # number 0 is default
current = Linked... | Python | zaydzuhri_stack_edu_python |
import urllib3
import requests
from urllib import request
comment request GET请求
function request36kr
begin
comment 忽略警告：InsecureRequestWarning: Unverified HTTPS request is being made. Adding certificate verification is strongly advised.
call disable_warnings
comment 一个PoolManager实例来生成请求, 由该实例对象处理与线程池的连接以及线程安全的所有细节
set ... | import urllib3
import requests
from urllib import request
# request GET请求
def request36kr():
# 忽略警告：InsecureRequestWarning: Unverified HTTPS request is being made. Adding certificate verification is strongly advised.
requests.packages.urllib3.disable_warnings()
# 一个PoolManager实例来生成请求, 由该实例对象处理与线程池的连接以及线程... | Python | zaydzuhri_stack_edu_python |
function post self
begin
set cont = call request_string string continue default=string /
call redirect call create_login_url cont
end function | def post(self):
cont = self.request_string('continue', default="/")
self.redirect(users.create_login_url(cont)) | Python | nomic_cornstack_python_v1 |
function run_loop cls symbol
begin
while true
begin
try
begin
call check_buy symbol
call check_sell symbol
end
except Exception as e
begin
call handle_error e
end
sleep wait_time
end
end function | def run_loop(cls, symbol: str):
while True:
try:
cls.check_buy(symbol)
cls.check_sell(symbol)
except Exception as e:
handle_error(e)
time.sleep(config.wait_time) | Python | nomic_cornstack_python_v1 |
function func num
begin
print num
print type num
end function
comment 0 1 1 2 3 5 8 13 21 34
function get_index_from_fib num
begin
set prev_index = 0
set curr_index = 1
set count = 2
set sum = prev_index + curr_index
print sum
while sum < num
begin
set sum = prev_index + curr_index
set prev_index = curr_index
set curr_... | def func(num):
print(num)
print(type(num))
# 0 1 1 2 3 5 8 13 21 34
def get_index_from_fib(num):
prev_index = 0
curr_index = 1
count = 2
sum = prev_index + curr_index
print(sum)
while sum < num:
sum = prev_index + curr_index
prev_index = curr_index
curr_ind... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
function num_leaf tree
begin
string return number of leaves of given tree using recursive method ---------- Parameters tree: tree_node object decision tree used for prediction ---------- Return cnt: integer the number of leaves of given tree
if key == - 1
begin
return 1
end
else
begin
se... | import matplotlib.pyplot as plt
def num_leaf(tree):
"""
return number of leaves of given tree using recursive method
----------
Parameters
tree: tree_node object
decision tree used for prediction
----------
Return
cnt: integer
... | Python | zaydzuhri_stack_edu_python |
function get_all_movies db_file
begin
set movies = list
set conn = none
try
begin
set conn = call connect db_file
set cur = call cursor
for row in execute cur string SELECT * FROM Movies
begin
print row
append movies row
end
for else
begin
print string Movies is empty
end
commit conn
close conn
return movies
end
excep... | def get_all_movies(db_file):
movies = []
conn = None
try:
conn = sqlite3.connect(db_file)
cur = conn.cursor()
for row in cur.execute("SELECT * FROM Movies"):
print(row)
movies.append(row)
else:
print('Movies is empty')
conn.c... | Python | nomic_cornstack_python_v1 |
import pandas as pd
from bs4 import BeautifulSoup as bs
import time
from splinter import Browser
import html5lib
from webdriver_manager.chrome import ChromeDriverManager
function scrape
begin
set executable_path = dict string executable_path string chromedriver
set browser = call Browser string chrome keyword executabl... | import pandas as pd
from bs4 import BeautifulSoup as bs
import time
from splinter import Browser
import html5lib
from webdriver_manager.chrome import ChromeDriverManager
def scrape():
executable_path = {'executable_path': 'chromedriver'}
browser = Browser('chrome', **executable_path, headless=False)
url =... | Python | zaydzuhri_stack_edu_python |
function comments_for_review context obj css_class=none
begin
set form = call ThreadedCommentForm context at string request obj
if css_class
begin
set attrs at string class = css_class
end
set attrs at string placeholder = string Write a comment...
set attrs at string rows = 1
set label = string
set context at string ... | def comments_for_review(context, obj, css_class=None):
form = ThreadedCommentForm(context["request"], obj)
if css_class:
form.fields['comment'].widget.attrs['class'] = css_class
form.fields['comment'].widget.attrs['placeholder'] = 'Write a comment...'
form.fields['comment'].widget.attrs['rows'] ... | Python | nomic_cornstack_python_v1 |
function check_energy fit
begin
set sampler_params = call get_sampler_params inc_warmup=false
set no_warning = true
for tuple chain_num s in enumerate sampler_params
begin
set energies = s at string energy__
set numer = sum generator expression energies at i - energies at i - 1 ^ 2 for i in range 1 length energies / le... | def check_energy(fit):
sampler_params = fit.get_sampler_params(inc_warmup=False)
no_warning = True
for chain_num, s in enumerate(sampler_params):
energies = s['energy__']
numer = sum((energies[i] - energies[i - 1])**2 for i in range(1, len(energies))) / len(energies)
denom = np.var(e... | Python | nomic_cornstack_python_v1 |
comment @lc app=leetcode.cn id=476 lang=python3
comment [476] 数字的补数
comment @lc code=start
class Solution
begin
function findComplement self num
begin
set L = 0
set R = 32
set ans = 32
while L <= R
begin
set m = L + R // 2
set twom = 1 ? m
if num < twom
begin
set R = m - 1
set ans = m
end
else
begin
set L = m + 1
end
e... | #
# @lc app=leetcode.cn id=476 lang=python3
#
# [476] 数字的补数
#
# @lc code=start
class Solution:
def findComplement(self, num: int) -> int:
L = 0
R = 32
ans = 32
while L<=R:
m = (L+R)//2
twom = (1<<m)
if num<twom:
R = m-1
... | Python | zaydzuhri_stack_edu_python |
comment - A1- Ejercicio 1: Print y consola (numeros y texto), comentarios.
comment Se pueden hacer comentarios que no son ejecutados
comment Con gato se hacen comentarios de una línea
string #1 Comentarios de múltiples líneas usando triple comillas dobles Antes y después de lo que se quiere comentar
comment 2 print mue... | #- A1- Ejercicio 1: Print y consola (numeros y texto), comentarios.
# Se pueden hacer comentarios que no son ejecutados
# Con gato se hacen comentarios de una línea
"""
#1
Comentarios de múltiples líneas
usando triple comillas dobles
Antes y después de lo que se quiere comentar
"""
#2 print muestra información en la... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function canJump self nums
begin
set reach = 0
for tuple i dist in enumerate nums
begin
if reach < i
begin
return false
end
set reach = max reach i + dist
end
comment if reach >= len(nums) - 1: return True : rebundant
return true
end function
function canJump1 self nums
begin
set reach = 0
for tupl... | class Solution:
def canJump(self, nums: List[int]) -> bool:
reach = 0
for i, dist in enumerate(nums):
if reach < i:
return False
reach = max(reach, i + dist)
#if reach >= len(nums) - 1: return True : rebundant
return True
def can... | Python | zaydzuhri_stack_edu_python |
function upload_file self dataset dataset_name dataset_type=string pandas *args **kwargs
begin
set run = call get_context
set ws = workspace
if dataset_type == string pandas
begin
comment Load a Tabular Dataset into pandas DataFrame
set ds = call from_pandas_dataframe dataframe=dataset
end
else
begin
raise exception st... | def upload_file(self, dataset: pd.DataFrame, dataset_name: str, dataset_type: str='pandas', *args, **kwargs):
run = Run.get_context()
ws = run.experiment.workspace
if dataset_type == 'pandas':
ds = Dataset.from_pandas_dataframe(dataframe=dataset) # Load a Tabular Dataset into pandas... | Python | nomic_cornstack_python_v1 |
import socketio
import base64
import numpy as np
from PIL import Image
from io import BytesIO
import cv2
import torch
from util.loader import load_checkpoint
from util.predictor import predict
set net = call load_checkpoint string checkpoint.pth
set sio = call Client
decorator call on string connect
function on_connect... | import socketio
import base64
import numpy as np
from PIL import Image
from io import BytesIO
import cv2
import torch
from util.loader import load_checkpoint
from util.predictor import predict
net = load_checkpoint('checkpoint.pth')
sio = socketio.Client()
@sio.on('connect')
def on_connect():
print('connection... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import argparse
import os
import sys
import cv2
function main
begin
set parser = call ArgumentParser description=string Gabor filter sample script
call add_argument help=string image file dest=string img_file
set args = call parse_args
end function | #-*- coding: utf-8 -*-
import argparse
import os
import sys
import cv2
def main():
parser = argparse.ArgumentParser(
description='Gabor filter sample script',
)
parser.add_argument(
help='image file',
dest='img_file',
)
args = parser.parse_args()
| Python | zaydzuhri_stack_edu_python |
function get_se_config self
begin
set se = get params string se none
set from_se = query Session Se
set from_ops = query Session OperationConfig
if se
begin
set from_se = filter storage == se
set from_ops = filter host == se
end
comment Merge both
set response = dictionary
for opt in from_se
begin
set se = storage
set ... | def get_se_config(self):
se = request.params.get('se', None)
from_se = Session.query(Se)
from_ops = Session.query(OperationConfig)
if se:
from_se = from_se.filter(Se.storage == se)
from_ops = from_ops.filter(OperationConfig.host == se)
# Merge both
... | Python | nomic_cornstack_python_v1 |
function boot_basic_conf_interval boot_sims orig_sample_estimate significance=0.05
begin
set num_boot_params = shape at 1
if length orig_sample_estimate != num_boot_params
begin
raise exception string num boot columns: + string num_boot_params + string not equal to num orig_sample_estimate: + string length orig_sample_... | def boot_basic_conf_interval(boot_sims,
orig_sample_estimate,
significance=0.05):
num_boot_params = boot_sims.shape[1]
if len(orig_sample_estimate) != num_boot_params:
raise Exception("num boot columns: " + str(num_boot_params) +
... | Python | nomic_cornstack_python_v1 |
function check_job_worked plot_name var rgb=false
begin
if rgb
begin
if glob plot_name and get size path plot_name > 0 and glob rgb at string layered_rgb_name and get size path rgb at string layered_rgb_name > 0
begin
return true
end
else
begin
return false
end
end
else
if glob plot_name and get size path plot_name > 0... | def check_job_worked(plot_name, var, rgb=False):
if rgb:
if (glob(plot_name) and os.path.getsize(plot_name) > 0 and
glob(rgb["layered_rgb_name"]) and os.path.getsize(rgb["layered_rgb_name"]) > 0):
return True
else:
return False
else:
if glob(plot_nam... | Python | nomic_cornstack_python_v1 |
function bind_clicking_widge self widge
begin
call bind string <Button-1> widge_enlarge_shrink
return
end function | def bind_clicking_widge(self, widge):
widge.bind('<Button-1>', self.widge_enlarge_shrink)
return | Python | nomic_cornstack_python_v1 |
from PIL import Image , ImageDraw
from random import randint
from colour import Colour
from utils import chance
import config
class Shape
begin
function __init__ self
begin
set poly = call __randPoly random integer POLY_MIN_SIDES POLY_MAX_SIDES 0 0 PIC_W PIC_H
set colour = call Colour
set image = call buildImage
end fu... | from PIL import Image, ImageDraw
from random import randint
from colour import Colour
from utils import chance
import config
class Shape:
def __init__(self):
self.poly = self.__randPoly(randint(config.POLY_MIN_SIDES, config.POLY_MAX_SIDES), 0, 0, config.PIC_W, config.PIC_H)
self.colour = Colour()
self.image = ... | Python | zaydzuhri_stack_edu_python |
import sys , math
from sol import SOL
set inputfile = argv at 1
set problem_name = argv at 2
set f = open inputfile
set alltext = read f
set lines = call splitlines
set numrows = 5
set inf = 9999999999999
set table = list comprehension list comprehension list inf * 4 for i in range numrows for j in range 6
comment 4 is... | import sys, math
from sol import SOL
inputfile = sys.argv[1]
problem_name = sys.argv[2]
f = open(inputfile)
alltext = f.read()
lines = alltext.splitlines()
numrows = 5
inf = 9999999999999
table = [[[inf]*4 for i in range(numrows)] for j in range(6)]
# 4 is number of attributes in a cell
a = 0
for line in lines:
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python2.7
string Backend functions for searching and updating the inventory ---------------------------------------------------------------- CS 304 - Databases
import sys
import MySQLdb
from connection import get_conn
function countInventoryTotal conn
begin
string Returns the number of items in invent... | #!/usr/bin/python2.7
"""
Backend functions for searching and updating the inventory
----------------------------------------------------------------
CS 304 - Databases
"""
import sys
import MySQLdb
from connection import get_conn
def countInventoryTotal(conn):
"""Returns the number of items in inventory"""
... | Python | zaydzuhri_stack_edu_python |
function build_delay_message self task_id=none function_name=none args=none kwargs=none
begin
if task_id is none
begin
set task_id = hex
end
if function_name is none
begin
set function_name = function_name
end
if args is none
begin
set args = args
end
if kwargs is none
begin
set kwargs = kwargs
end
return call packb di... | def build_delay_message(self,
task_id: str = None,
function_name: str = None,
args: List[str] = None,
kwargs: Dict = None) -> str:
if task_id is None:
task_id = uuid.uuid4().hex
i... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding:utf-8
comment Copyright (C) dirlt
import BaseHTTPServer | #!/usr/bin/env python
#coding:utf-8
#Copyright (C) dirlt
import BaseHTTPServer
| Python | zaydzuhri_stack_edu_python |
function checkAvailability month year duration lunch_days
begin
comment Check if duration is valid
if duration > 8 or duration <= 0
begin
return string Error: Invalid lunch duration
end
comment Check if lunch days are valid
for day in lunch_days
begin
if day not in list string 1st string 2nd string 3rd string 4th strin... | def checkAvailability(month, year, duration, lunch_days):
# Check if duration is valid
if duration > 8 or duration <= 0:
return "Error: Invalid lunch duration"
# Check if lunch days are valid
for day in lunch_days:
if day not in ['1st', '2nd', '3rd', '4th', 'last']:
... | Python | jtatman_500k |
function delete name attributes
begin
string Make sure the given attributes are deleted from the file/directory name The path to the file/directory attributes The attributes that should be removed from the file/directory, this is accepted as an array.
set ret = dict string name name ; string result true ; string commen... | def delete(name, attributes):
'''
Make sure the given attributes are deleted from the file/directory
name
The path to the file/directory
attributes
The attributes that should be removed from the file/directory, this is accepted as
an array.
'''
ret = {'name': name,
... | Python | jtatman_500k |
function log_sum_exp_accumulate x axis=0
begin
set xmax = max axis
return log accumulate exp x - xmax axis + xmax
end function | def log_sum_exp_accumulate(x, axis=0):
xmax = x.max(axis)
return log(numpy.add.accumulate(exp(x - xmax), axis)) + xmax | Python | nomic_cornstack_python_v1 |
function websockets_enabled self
begin
return get pulumi self string websockets_enabled
end function | def websockets_enabled(self) -> bool:
return pulumi.get(self, "websockets_enabled") | Python | nomic_cornstack_python_v1 |
string Given an array of integers, find the length of the longest nondecreasing subsequence in the array
import bisect
function longest_nondecreasing_subsequence_n2 A
begin
set max_length = list 1 * length A
for i in range length A
begin
set max_length at i = 1 + max generator expression max_length at j for j in range ... | """
Given an array of integers, find the length of the longest nondecreasing
subsequence in the array
"""
import bisect
def longest_nondecreasing_subsequence_n2(A):
max_length = [1] * len(A)
for i in range(len(A)):
max_length[i] = 1 + max(
(max_length[j] for j in range(i) if A[i] >= A[j]), default=0)
return m... | Python | zaydzuhri_stack_edu_python |
comment 1 - CONFUSION MATRIX
comment 2 - ROC CURVE
comment 3 - CROSS VALIDATION SCORE
comment 4 - STRATIFIED K-FOLD CROSS VALIDATION
comment 5 - CUMMULATIVE ACCURACY PROFILE (CAP)
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.me... | # 1 - CONFUSION MATRIX
# 2 - ROC CURVE
# 3 - CROSS VALIDATION SCORE
# 4 - STRATIFIED K-FOLD CROSS VALIDATION
# 5 - CUMMULATIVE ACCURACY PROFILE (CAP)
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment ===============================================================================
comment Python Numpy/Scipy program for analyzing MMTO WFS seeing data.
comment ===============================================================================
import numpy as np
import matplotlib.cm as c... | #!/usr/bin/env python
#===============================================================================
#
# Python Numpy/Scipy program for analyzing MMTO WFS seeing data.
#
#===============================================================================
import numpy as np
import matplotlib.cm as cm
import matplotlib.py... | Python | zaydzuhri_stack_edu_python |
import oseti
class Analyzer
begin
function __init__ self
begin
set oseti = call Analyzer
end function
function analyze self text **args
begin
set all_count = 0
set summary = dict string positive 0 ; string negative 0
for sent_polarity in call count_polarity text
begin
set summary at string positive = summary at string ... | import oseti
class Analyzer:
def __init__(self) -> None:
self.oseti = oseti.Analyzer()
def analyze(self, text, **args):
all_count = 0
summary = {
'positive': 0,
'negative': 0,
}
for sent_polarity in self.oseti.count_polarity(text):
su... | Python | zaydzuhri_stack_edu_python |
set num1 = decimal input string Enter the first number:
set num2 = decimal input string Enter the second number:
set num3 = decimal input string Enter the third number:
print string The max value is: max num1 num2 num3
input string Press any key to exit | num1 = float( input("Enter the first number: "))
num2 = float( input("Enter the second number: "))
num3 = float( input("Enter the third number: "))
print("The max value is: ", max(num1,num2,num3))
input("Press any key to exit")
| Python | zaydzuhri_stack_edu_python |
import random
comment TODO: Define the Thrower class here.
class Dealer
begin
string Where the dice is thrown
function __init__ self
begin
set card = 0
set right_v_wrong = true
end function
function draw_card self
begin
string chooses a random card
set card = random integer 1 14
end function
function get_points self gu... | import random
# TODO: Define the Thrower class here.
class Dealer:
"""Where the dice is thrown"""
def __init__(self):
self.card = 0
self.right_v_wrong = True
def draw_card(self):
"""chooses a random card"""
self.card = random.randint(1, 14)
def get_points(self, guess... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
import seaborn as sb
from textblob import TextBlob
import csv
import string
import time
import nltk
import os
import sys
from sklearn.preprocessing import normalize
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransfo... | import numpy as np
import pandas as pd
import seaborn as sb
from textblob import TextBlob
import csv
import string
import time
import nltk
import os
import sys
from sklearn.preprocessing import normalize
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransfo... | Python | zaydzuhri_stack_edu_python |
function fibonacci n
begin
comment Error handling for non-positive integers
if not is instance n int or n <= 0
begin
raise call ValueError string Invalid input. Please enter a positive integer.
end
comment Base cases for 0 and 1
if n == 0
begin
return 0
end
else
if n == 1
begin
return 1
end
comment Recursive case
retur... | def fibonacci(n):
# Error handling for non-positive integers
if not isinstance(n, int) or n <= 0:
raise ValueError("Invalid input. Please enter a positive integer.")
# Base cases for 0 and 1
if n == 0:
return 0
elif n == 1:
return 1
# Recursive case
return f... | Python | greatdarklord_python_dataset |
function edge_assignment_score edge_index edge_scores n
begin
comment If there is no edge, do not bother
if not length edge_index
begin
return tuple call empty tuple 0 2 dtype=int64 array range n dtype=int64 0.0
end
comment Build an input adjacency matrix to constrain the edge selection to the input graph
set adj_mat =... | def edge_assignment_score(edge_index: nb.int64[:,:],
edge_scores: nb.float32[:,:],
n: nb.int64) -> (nb.int64[:,:], nb.int64[:], nb.float32):
# If there is no edge, do not bother
if not len(edge_index):
return np.empty((0,2), dtype=np.int64), np.arange(... | Python | nomic_cornstack_python_v1 |
comment !/usr/local/bin/python3
comment coding=utf-8
from MusicUtils import *
class DurationValues extends object
begin
function __init__ self table=none
begin
call __init__
set _table = dict
if table
begin
set _table = table
end
set _default = none
end function
function set_default self value
begin
set _default = val... | #!/usr/local/bin/python3
# coding=utf-8
from MusicUtils import *
class DurationValues (object):
def __init__(self, table = None):
super().__init__()
self._table = {}
if table:
self._table = table
self._default = None
def set_default(self, value):
self._default = value
return self
... | Python | zaydzuhri_stack_edu_python |
class DPForWhiteBoxMetodaSzwabe
begin
function __init__ self optimalBlackBoxClassifier currentBlackBoxAlgorithm normalDP
begin
set optimalBlackBoxClassifier = optimalBlackBoxClassifier
set currentBlackBoxAlgorithm = currentBlackBoxAlgorithm
set normalDP = normalDP
set myNrows = myNrows
set tuple X_train X_test y_train ... | class DPForWhiteBoxMetodaSzwabe:
def __init__(self, optimalBlackBoxClassifier, currentBlackBoxAlgorithm, normalDP):
self.optimalBlackBoxClassifier = optimalBlackBoxClassifier
self.currentBlackBoxAlgorithm = currentBlackBoxAlgorithm
self.normalDP = normalDP
self.myNrows = normalDP.myN... | Python | zaydzuhri_stack_edu_python |
function __call__ self event
begin
call set_result_if_pending users
set timer = timer
if timer is not none
begin
set timer = none
call cancel
end
return true
end function | def __call__(self, event):
self.waiter.set_result_if_pending(event.users)
timer = self.timer
if (timer is not None):
self.timer = None
timer.cancel()
return True | Python | nomic_cornstack_python_v1 |
function process code input_data
begin
set predicted_class = predict code ementa
set input_data at string predicted_class = call Series predicted_class index=index
return input_data
end function | def process(code, input_data):
predicted_class = code.predict(input_data.ementa)
input_data['predicted_class'] = pd.Series(predicted_class, index=input_data.index)
return input_data | Python | nomic_cornstack_python_v1 |
function get_object self queryset=none
begin
comment Use a custom queryset if provided; this is required for subclasses
comment like DateDetailView
if queryset is none
begin
set queryset = call get_queryset
end
comment Next, try looking up by primary key.
set pk = get kwargs pk_url_kwarg
set slug = get kwargs slug_url_... | def get_object(self, queryset=None):
# Use a custom queryset if provided; this is required for subclasses
# like DateDetailView
if queryset is None:
queryset = self.get_queryset()
# Next, try looking up by primary key.
pk = self.kwargs.get(self.pk_url_kwarg)
... | Python | nomic_cornstack_python_v1 |
comment Write a Python function to find the Max of three numbers
function max a b c
begin
comment if a <= b >= c: je ekvivalentní zápis s tímto:
if b >= a and b >= c
begin
return b
end
if c <= a >= b
begin
return a
end
if a <= c >= b
begin
return c
end
end function
assert max 1 2 3 == 3
assert max 10 10 10 == 10
assert... | # Write a Python function to find the Max of three numbers
def max(a, b, c):
# if a <= b >= c: je ekvivalentní zápis s tímto:
if b >= a and b >= c:
return b
if c <= a >= b:
return a
if a <= c >= b:
return c
assert max(1, 2, 3) == 3
assert max(10, 10, 10) == 10
assert max(3, 2, ... | Python | zaydzuhri_stack_edu_python |
function ChooseBHNS BH_RATIO df_systems
begin
set r = random
set bh = values
set ns = values
if r > BH_RATIO
begin
set choice = random choice ns
set kind = 0
end
if r < BH_RATIO
begin
set choice = random choice bh
comment kind = 1 is bh
set kind = 1
end
return list choice kind
end function | def ChooseBHNS(BH_RATIO, df_systems):
r = np.random.random()
bh = df_systems[df_systems['is_bh']==1].index.values
ns = df_systems[df_systems['is_bh']==0].index.values
if r > BH_RATIO:
choice = np.random.choice(ns)
kind = 0
if r < BH_RATIO:
choice = np.random.choice(bh)
... | Python | nomic_cornstack_python_v1 |
comment print 1 to 10
print string first :
comment i = 1,2,3,4,5,6,7,8,9
for i in range 1 10
begin
print i
end
comment print 1 to 8 with step size= 2
print string second :
comment i = 1,3,5,7
for i in range 1 8 2
begin
print i
end
comment print 10 to 1
print string third :
comment i = 10,9,8,7,6,5,4,3,2,1
for i in rang... | # print 1 to 10
print("first :")
for i in range(1, 10): # i = 1,2,3,4,5,6,7,8,9
print(i)
# print 1 to 8 with step size= 2
print("second :")
for i in range(1,8,2): # i = 1,3,5,7
print(i)
# print 10 to 1
print("third :")
for i in range(10,0,-1): # i = 10,9,8,7,6,5,4,3,2,1
print(i)
print(4 in range(1,5)... | Python | zaydzuhri_stack_edu_python |
function get_feature_locations_from_gff3 gff3_file
begin
for line in open gff3_file string rU
begin
set entry = call gff_entry line
if valid
begin
yield call feature_location start end strand seq_id
end
end
end function | def get_feature_locations_from_gff3(gff3_file):
for line in open(gff3_file, 'rU'):
entry = gff_entry(line)
if entry.valid:
yield feature_location(entry.start, \
entry.end, \
entry.strand, \
... | Python | nomic_cornstack_python_v1 |
import pygame as pg
from pygame.locals import *
import numpy
from Runner import Runner
from Strategy import Strategy
set BACKGROUND_IMAGE = string grass.jpg
set POINT_COLOR = tuple 0 0 0
set POINT_LABEL_COLOR = tuple 255 255 255
set LINE_COLOR = tuple 101 67 33
set RADIUS = 20
class GUI
begin
function __init__ self wid... | import pygame as pg
from pygame.locals import *
import numpy
from Runner import Runner
from Strategy import Strategy
BACKGROUND_IMAGE = 'grass.jpg'
POINT_COLOR = (0, 0, 0)
POINT_LABEL_COLOR = (255, 255, 255)
LINE_COLOR = (101, 67, 33)
RADIUS = 20
class GUI:
def __init__(self, width=600, height=600):
pg.i... | Python | zaydzuhri_stack_edu_python |
from random import choice
from MonteCarloMethods.Blackjack.State import State
from MonteCarloMethods.Blackjack.Card import Card
from MonteCarloMethods.Blackjack.Dealer import Dealer
from MonteCarloMethods.Blackjack.Gambler import Gambler
class Blackjack extends object
begin
set limit = 21
function __init__ self
begin
s... | from random import choice
from MonteCarloMethods.Blackjack.State import State
from MonteCarloMethods.Blackjack.Card import Card
from MonteCarloMethods.Blackjack.Dealer import Dealer
from MonteCarloMethods.Blackjack.Gambler import Gambler
class Blackjack(object):
limit = 21
def __init__(self):
self._... | Python | zaydzuhri_stack_edu_python |
function action_configureband4 self model tango_dev=none data_input=none
begin
call _configureband model data_input 4
end function | def action_configureband4(self, model, tango_dev=None, data_input=None):
self._configureband(model, data_input, 4) | Python | nomic_cornstack_python_v1 |
function search self location=none query=none return_fields=none
begin
set fts = call _search location=location query=query return_fields=return_fields extra_wfs_fields=list string Type_proef string Proeffiche
set interpretaties = call from_wfs fts __wfs_namespace
set df = call DataFrame data=call to_df_array interpret... | def search(self, location=None, query=None, return_fields=None):
fts = self._search(location=location, query=query,
return_fields=return_fields,
extra_wfs_fields=['Type_proef', 'Proeffiche'])
interpretaties = InformeleStratigrafie.from_wfs(
... | Python | nomic_cornstack_python_v1 |
function load self filepath
begin
set model_params = load torch filepath
for tuple model_param pretrained_model_param in zip parameters self items model_params
begin
comment pretrained word embedding
if length size pretrained_model_param at 1 > 1 and size pretrained_model_param at 1 at 0 > 5000
begin
set pretrained_wor... | def load(self, filepath):
model_params = torch.load(filepath)
for model_param, pretrained_model_param in zip(self.parameters(), model_params.items()):
if len(pretrained_model_param[1].size()) > 1 and pretrained_model_param[1].size()[0] > 5000: # pretrained word embedding
pre... | Python | nomic_cornstack_python_v1 |
string This task makes include guards follow the style stipulated by the Google style guide.
import os
import regex
from enum import Enum
from wpiformat.task import Task
class State extends Enum
begin
set FINDING_IFNDEF = 1
set FINDING_ENDIF = 2
set DONE = 3
end class
class IncludeGuard extends Task
begin
function shou... | """This task makes include guards follow the style stipulated by the Google
style guide.
"""
import os
import regex
from enum import Enum
from wpiformat.task import Task
class State(Enum):
FINDING_IFNDEF = 1
FINDING_ENDIF = 2
DONE = 3
class IncludeGuard(Task):
def should_process_file(self, config... | Python | zaydzuhri_stack_edu_python |
comment write to excel
import xlsxwriter
comment scrape from web
import urllib.request
comment scrape from web
import requests
comment scrape from web
import io
import traceback
comment create namedtuple for manipulation
from collections import namedtuple
comment test source code for email
import re
set professor = nam... | import xlsxwriter #write to excel
import urllib.request #scrape from web
import requests #scrape from web
import io #scrape from web
import traceback
from collections import namedtuple #create namedtuple for manipulation
import re #test source code for email
professor = namedtuple('professor', 'name university')... | Python | zaydzuhri_stack_edu_python |
comment queue implementation practice
class Queue extends object
begin
function __init__ self
begin
set data = list
end function
function is_empty self
begin
if length data <= 0
begin
return true
end
else
begin
return false
end
end function
function checkSize self
begin
return length data
end function
function enQ sel... | # queue implementation practice
class Queue(object):
def __init__(self):
self.data=[]
def is_empty(self):
if len(self.data)<=0:
return True
else:
return False
def checkSize(self):
return len(self.data)
def enQ(self,x):
self.data.insert... | Python | zaydzuhri_stack_edu_python |
import threading
import socket
import json
from PyQt5.QtCore import pyqtSignal , QObject
import time
class Core extends QObject
begin
string Encargado de manejar la info con el servidor
set lista_check = call pyqtSignal list
set editing_check = call pyqtSignal list
function __init__ self
begin
call __init__
print strin... | import threading
import socket
import json
from PyQt5.QtCore import pyqtSignal, QObject
import time
class Core(QObject):
"""
Encargado de manejar la info con el servidor
"""
lista_check = pyqtSignal(list)
editing_check = pyqtSignal(list)
def __init__(self):
super().__init__()
pr... | Python | zaydzuhri_stack_edu_python |
import functools
import time
function timer message=string Duration: precision=3
begin
function timer_inner fn
begin
decorator wraps fn
function fn_with_time *args **kwargs
begin
set start = time
set ret = call fn *args keyword kwargs
print string { message } { round time - start precision }
return ret
end function
ret... | import functools
import time
def timer(message="Duration: ", precision=3):
def timer_inner(fn):
@functools.wraps(fn)
def fn_with_time(*args, **kwargs):
start = time.time()
ret = fn(*args, **kwargs)
print(f"{message}{round(time.time() - start, precision)}")
... | Python | zaydzuhri_stack_edu_python |
function pluck self key
begin
set key = string key
return call Collection list comprehension call attribute_reader item key none for item in self
end function | def pluck(self, key: StrLike) -> Collection[Any]:
key = str(key)
return Collection([attribute_reader(item, key, None) for item in self]) | Python | nomic_cornstack_python_v1 |
import requests
import os
import time
import argparse
class api
begin
function __init__ self url=string http://localhost:3000/upload
begin
set url = url
set dirs = list
end function
function upload_images self folder
begin
set dir = list
set dirs = list directory folder
set multiple_images = list
for d in dirs
begin... | import requests
import os
import time
import argparse
class api:
def __init__(self, url = "http://localhost:3000/upload"):
self.url = url
self.dirs=[]
def upload_images(self,folder):
self.dir=[]
self.dirs = os.listdir(folder)
multiple_images = []
for d in self.dirs:
d = os.path.join(folder,d)
file... | Python | zaydzuhri_stack_edu_python |
function save_players self
begin
set save_objs = dictionary comprehension key : call SaveObject value for tuple key value in items players
call save_object save_objs savepath + string _%s % server
end function
comment RecourceManager.save_object(self.players, savepath + "_%s" % self.server) | def save_players(self):
save_objs = {key: Player.SaveObject(value) for key, value in self.players.items()}
RecourceManager.save_object(save_objs, savepath + "_%s" % self.server)
# RecourceManager.save_object(self.players, savepath + "_%s" % self.server) | Python | nomic_cornstack_python_v1 |
function _make_edit_request self state undo=false additional_var=none
begin
set var = dict string i item_id
if undo
begin
set var at string r = string user/-/state/com.google/ + state
end
else
begin
set var at string a = string user/-/state/com.google/ + state
end
if additional_var
begin
update var additional_var
end
r... | def _make_edit_request(self, state, undo=False, additional_var=None):
var = {
'i': self.item_id
}
if undo:
var['r'] = 'user/-/state/com.google/' + state
else:
var['a'] = 'user/-/state/com.google/' + state
if additional_var:
var.upd... | Python | nomic_cornstack_python_v1 |
function get_states
begin
set states = list
for state in values all string State
begin
append states call to_dict
end
return call jsonify states
end function | def get_states():
states = []
for state in strong.all("State").values():
states.append(state.to_dict())
return jsonify(states) | Python | nomic_cornstack_python_v1 |
function correct_pore_diameter com *params
begin
set tuple elements coordinates = params
return - call pore_diameter elements coordinates com at 0
end function | def correct_pore_diameter(com, *params):
elements, coordinates = params
return (-pore_diameter(elements, coordinates, com)[0]) | Python | nomic_cornstack_python_v1 |
function test_model_deleting_works_properly self
begin
set tm = call create count=8 text=string 123456789
set vid = vid
delete
with assert raises DoesNotExist
begin
set tm2 = get TestModel vid
end
end function | def test_model_deleting_works_properly(self):
tm = TestModel.create(count=8, text='123456789')
vid = tm.vid
tm.delete()
with self.assertRaises(TestModel.DoesNotExist):
tm2 = TestModel.get(vid) | Python | nomic_cornstack_python_v1 |
function get_nilspod_dataset_corrupted_info dataset file_path
begin
call _assert_is_dtype dataset Dataset
set nilspod_file_pattern = string NilsPodX-\w{4}_(.*?).bin
comment ensure pathlib
set file_path = call Path file_path
set keys = list string name string percent_corrupt string condition
set dict_res = call fromkeys... | def get_nilspod_dataset_corrupted_info(dataset: Dataset, file_path: path_t) -> Dict:
_assert_is_dtype(dataset, Dataset)
nilspod_file_pattern = r"NilsPodX-\w{4}_(.*?).bin"
# ensure pathlib
file_path = Path(file_path)
keys = ["name", "percent_corrupt", "condition"]
dict_res = dict.fromkeys(keys)
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
set m = list
with open string triangle.txt string r as f
begin
for line in f
begin
append m list comprehension integer s for s in split line
end
end
set num_lines = length m | #!/usr/bin/env python
m = []
with open('triangle.txt', 'r') as f:
for line in f:
m.append([int(s) for s in line.split()])
num_lines = len(m) | Python | zaydzuhri_stack_edu_python |
function write2dListToCSV list2d fileNameWithDir
begin
set fullFileName = fileNameWithDir
if list2d is not none
begin
with open fullFileName string w newline=string as csvfile
begin
set w = writer csvfile
write rows w list2d
end
end
end function | def write2dListToCSV(list2d, fileNameWithDir):
fullFileName = fileNameWithDir
if list2d is not None:
with open(fullFileName, 'w', newline='') as csvfile:
w = csv.writer(csvfile)
w.writerows(list2d) | Python | nomic_cornstack_python_v1 |
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