code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function decrypt_vigenere ciphertext keyword
begin
set plaintext = string
set new_keyword = string
for i in range length ciphertext
begin
set num_word = ordinal ciphertext at i
while length ciphertext > length new_keyword
begin
set new_keyword = new_keyword + keyword
end
set num_key = ordinal new_keyword at i
if num_... | def decrypt_vigenere(ciphertext, keyword):
plaintext = ''
new_keyword = ''
for i in range(len(ciphertext)):
num_word = ord(ciphertext[i])
while len(ciphertext) > len(new_keyword):
new_keyword += keyword
num_key = ord(new_keyword[i])
if num_key <= 90:
n... | Python | nomic_cornstack_python_v1 |
function read_data filename index epochs loss seconds
begin
with open filename as f
begin
for line in f
begin
if string images in line
begin
set words = split line
set idx = integer words at 0 at slice : - 1 :
if idx > index
begin
append seconds decimal words at 6
append loss decimal words at 2
append epochs idx
end
e... | def read_data(filename,index,epochs,loss,seconds):
with open(filename) as f:
for line in f:
if 'images' in line:
words = line.split()
idx = int(words[0][:-1])
if idx> index:
seconds.append(float(words[6]))
lo... | Python | zaydzuhri_stack_edu_python |
comment 3. Reading in to Pandas ##
import pandas as pd
set loans_2007 = read csv string loans_2007.csv
print length columns
head loans_2007
comment 5. First group of columns ##
drop loans_2007 list string id string member_id string funded_amnt string funded_amnt_inv string grade string sub_grade string emp_title string... | ## 3. Reading in to Pandas ##
import pandas as pd
loans_2007 = pd.read_csv('loans_2007.csv')
print(len(loans_2007.columns))
loans_2007.head()
## 5. First group of columns ##
loans_2007.drop(['id', 'member_id', 'funded_amnt', 'funded_amnt_inv', 'grade', 'sub_grade', 'emp_title',
'issue_d'], axis=1,... | Python | zaydzuhri_stack_edu_python |
function merge_communities_qds adj c
begin
comment Array of unique community labels
set unique_clusters = unique c
comment Tracks the nodes in each community
set dict_bool = dict
comment Tracks the clusters that are connected to each community
set dict_connected = dict
for label in unique_clusters
begin
comment Track... | def merge_communities_qds(adj, c):
# Array of unique community labels
unique_clusters = np.unique(c)
# Tracks the nodes in each community
dict_bool = {}
# Tracks the clusters that are connected to each community
dict_connected = {}
for label in unique_clusters:
# Track the nodes ... | Python | nomic_cornstack_python_v1 |
function extract_timeperiod request
begin
set data = keys data
if string start_date in data and string end_date in data
begin
set start_date = string parse time data at string start_date date_format
set end_date = string parse time data at string end_date date_format
end
else
if string start_date in data
begin
set star... | def extract_timeperiod(request):
data = request.data.keys()
if 'start_date' in data and 'end_date' in data:
start_date = datetime.strptime(request.data['start_date'], date_format)
end_date = datetime.strptime(request.data['end_date'], date_format)
elif 'start_date' in data:
start_da... | Python | nomic_cornstack_python_v1 |
function nmonths_features sales_df col_name num_months quantiles
begin
assert num_months >= 1
set columns = list string sum string min string max + list comprehension format string {}_q q for q in quantiles
set columns = list comprehension format string {}_{}M_{} col_name num_months c for c in columns
comment For fast ... | def nmonths_features(sales_df, col_name, num_months, quantiles):
assert num_months >= 1
columns = ['sum', 'min', 'max'] + ['{}_q'.format(q) for q in quantiles]
columns = ['{}_{}M_{}'.format(col_name, num_months, c) for c in columns]
# For fast processing
values = sales_df[col_name].values
indic... | Python | nomic_cornstack_python_v1 |
function milp montecarlo_country decimals=1
begin
import pulp
import numpy as np
comment End Ranking Forecast After Regular Season
set model = call LpProblem string LpMinimize
set variable_names = list
set lowBound_dict = dictionary
set upBound_dict = dictionary
set teams = sorted list keys montecarlo_country
set pos... | def milp(montecarlo_country,decimals = 1):
import pulp
import numpy as np
# End Ranking Forecast After Regular Season
model = pulp.LpProblem("", pulp.LpMinimize)
variable_names = []
lowBound_dict = dict()
upBound_dict = dict()
teams = sorted(list(montecarlo_country.keys()))
... | Python | zaydzuhri_stack_edu_python |
comment coding = utf-8
comment Author:XiaoFei
comment Date：2021/3/10 16:20
print string 陈志霏
print string 春眠不觉晓， 处处闻啼鸟, 夜来风雨声， 花落知多少。
print string 春眠不觉晓，处处闻啼鸟，夜来风雨声，花落知多少。
set name = input string 请输入你的用户:
set pwd = input string 请输入你的用户:
print name + string 用户欢迎登录
set a = decimal input string 请输入第一个数字：
set b = decimal in... | # coding = utf-8
# Author:XiaoFei
# Date：2021/3/10 16:20
print("陈志霏")
print('''春眠不觉晓，
处处闻啼鸟,
夜来风雨声，
花落知多少。''')
print("春眠不觉晓，处处闻啼鸟，夜来风雨声，花落知多少。")
name=input("请输入你的用户:")
pwd=input("请输入你的用户:")
print(name+"用户欢迎登录")
a=float(input("请输入第一个数字："))
b=float(input("请输入第二个数字："))
print(a,"+",b,"=",a+b) | Python | zaydzuhri_stack_edu_python |
import cv2
import numpy as np
comment load img
set img = call imread string Resources/trump.jpg
set tuple width height = tuple 250 350
set pts1 = call float32 list list 227 93 list 430 136 list 162 379 list 370 426
comment left top,right top,left bottom,right bottom
set pts2 = call float32 list list 0 0 list width 0 li... | import cv2
import numpy as np
img = cv2.imread("Resources/trump.jpg") # load img
width, height = 250, 350
pts1 = np.float32([[227, 93], [430, 136], [162, 379],[
370, 426]]) # left top,right top,left bottom,right bottom
pts2 = np.float32([[0, 0], [width, 0], [0, height], [width, height]])
matrix =... | Python | zaydzuhri_stack_edu_python |
import utils
comment Compute sum of perimeters of all almost equilateral triangles with integer area and perimeter < 10^9
comment Using Heron's formula, we can figure out that we need (3s+-1)(s-+1) to be a perfect square, where s is the repeated side
comment After some rearranging we can restate the problem:
comment Fo... | import utils
# Compute sum of perimeters of all almost equilateral triangles with integer area and perimeter < 10^9
# Using Heron's formula, we can figure out that we need (3s+-1)(s-+1) to be a perfect square, where s is the repeated side
# After some rearranging we can restate the problem:
# For all x of the form 2^a... | Python | zaydzuhri_stack_edu_python |
function transform self corpus
begin
for conv_id in conversations
begin
set conv = call get_conversation conv_id
for utt in call iter_utterances
begin
if text != none
begin
set tokenized = call word_tokenize lower text
set invocations = 0
set length = length tokenized
set pol_words = list
for token in tokenized
begin
... | def transform(self, corpus: Corpus):
for conv_id in corpus.conversations:
conv = corpus.get_conversation(conv_id)
for utt in conv.iter_utterances():
if utt.text != None:
tokenized = word_tokenize(utt.text.lower())
invocatio... | Python | nomic_cornstack_python_v1 |
function compare_data_in_fits file1 file2
begin
set hdu1 = open file1
set hdu2 = open file2
set identical = all
close hdu1
close hdu2
return identical
end function | def compare_data_in_fits(file1, file2):
hdu1 = pyfits.open(file1)
hdu2 = pyfits.open(file2)
identical = (hdu1[0].data == hdu2[0].data).all()
hdu1.close()
hdu2.close()
return identical | Python | nomic_cornstack_python_v1 |
function SetNetBlendDirectionData self Direction=defaultNamedNotOptArg InfluenceType=defaultNamedNotOptArg TrimCurves=defaultNamedNotOptArg BlendClosed=defaultNamedNotOptArg SplitSurfaces=defaultNamedNotOptArg
begin
set ret = call InvokeTypes 124 LCID 1 tuple 9 0 tuple tuple 2 1 tuple 2 1 tuple 2 1 tuple 11 1 tuple 11 ... | def SetNetBlendDirectionData(self, Direction=defaultNamedNotOptArg, InfluenceType=defaultNamedNotOptArg, TrimCurves=defaultNamedNotOptArg, BlendClosed=defaultNamedNotOptArg
, SplitSurfaces=defaultNamedNotOptArg):
ret = self._oleobj_.InvokeTypes(124, LCID, 1, (9, 0), ((2, 1), (2, 1), (2, 1), (11, 1), (11, 1)),Direc... | Python | nomic_cornstack_python_v1 |
function build_window self
begin
comment Size config
call geometry string 750x500
call minsize 600 400
set main_frame = call Frame window
call pack fill=string both
set top_frame = call Frame main_frame
call pack side=string top fill=string x
set bottom_frame = call Frame main_frame
call pack side=string bottom fill=st... | def build_window(self):
# Size config
self.window.geometry('750x500')
self.window.minsize(600, 400)
main_frame = tk.Frame(self.window)
main_frame.pack(fill="both")
top_frame = tk.Frame(main_frame)
top_frame.pack(side="top", fill="x")
bottom_frame = tk.F... | Python | nomic_cornstack_python_v1 |
for _ in range M
begin
set tuple row direction count = map int split input
set newArray = list 0 * N
set row = row - 1
comment 왼쪽으로
if direction == 0
begin
for i in range N
begin
if i - count < 0
begin
set position = N - absolute i - count
end
else
begin
set position = absolute i - count % N
end
set newArray at positio... | for _ in range(M):
row, direction, count = map(int, input().split())
newArray = [0]*N
row -= 1
#왼쪽으로
if direction == 0:
for i in range(N):
if (i - count) < 0:
position = N - abs(i-count)
else:
position = abs(i-count) % N
new... | Python | zaydzuhri_stack_edu_python |
comment Exercício Python 63: Escreva um programa que leia um número N inteiro qualquer
comment e mostre na tela os N primeiros elementos de uma Sequência de Fibonacci. Exemplo:
print format string Os {} primeiros números da sequência de Fibonacci: n end=string
print format string [32m{}[m, [32m{}[m, fi f end=string... | # Exercício Python 63: Escreva um programa que leia um número N inteiro qualquer
# e mostre na tela os N primeiros elementos de uma Sequência de Fibonacci. Exemplo:
print('Os {} primeiros números da sequência de Fibonacci: '.format(n), end='')
print('\033[32m{}\033[m, \033[32m{}\033[m, '.format(fi, f), end='')
while n... | Python | zaydzuhri_stack_edu_python |
string Jerame Kim 1/25/2019 Program name: assignment_3 Three separate programs that use Lists, Loops, and Nested Lists
comment part1
print join string directory list
comment part2
set a = list 1 1 2 3 4 8 13 21 34 55 89
set b = list 1 2 3 4 5 6 7 8 9 10 11 34 12 13
set common_items = list
set b_length = length b
for ... | """
Jerame Kim 1/25/2019
Program name: assignment_3
Three separate programs that use Lists, Loops, and Nested Lists
"""
#part1
print("\n".join(dir(list)))
#part2
a = [1, 1, 2, 3, 4, 8, 13, 21, 34, 55, 89]
b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 34, 12, 13]
common_items=[]
b_length = len(b)
for i in range(0, ... | Python | zaydzuhri_stack_edu_python |
class SpaceAge extends object
begin
set ORBITAL_PERIOD = dict string earth 1 ; string mercury 0.2408467 ; string venus 0.61519726 ; string mars 1.8808158 ; string jupiter 11.862615 ; string saturn 29.447498 ; string uranus 84.016846 ; string neptune 164.79132
function __init__ self seconds
begin
set seconds = seconds
s... | class SpaceAge(object):
ORBITAL_PERIOD = {
'earth' :1,
'mercury':0.2408467,
'venus':0.61519726,
'mars':1.8808158,
'jupiter':11.862615,
'saturn':29.447498,
'uranus':84.016846,
'neptune':164.79132
}
def __init__(self, seconds):
self.seconds = seconds
self.earthY... | Python | zaydzuhri_stack_edu_python |
import time
call clock
set tri = list comprehension list comprehension integer n for n in split s for s in read lines open string triangle.txt
for row in range length tri - 1 0 - 1
begin
for col in range 0 row
begin
set tri at row - 1 at col = tri at row - 1 at col + max tri at row at col tri at row at col + 1
end
end | import time
time.clock()
tri = [[int(n) for n in s.split()] for s in open('triangle.txt').readlines()]
for row in range(len(tri)-1, 0, -1):
for col in range(0, row):
tri[row-1][col] += max(tri[row][col], tri[row][col+1])
| Python | zaydzuhri_stack_edu_python |
function get_verb_prep_counts self
begin
set verb_prep_counts = dictionary
for i in call xrange length tokens
begin
if call is_verb poss at i
begin
set verb = lemmas at i
comment empty verb
if strip verb == string
begin
continue
end
set has_prep_child = false
for j in call xrange length tokens
begin
if parents at j ==... | def get_verb_prep_counts(self):
verb_prep_counts = dict()
for i in xrange(len(self.tokens)):
if self.is_verb(self.poss[i]):
verb = self.lemmas[i]
if verb.strip() == '': # empty verb
continue
has_prep_child = False
... | Python | nomic_cornstack_python_v1 |
import sys
set inp = read line stdin
function coffeeLike inp
begin
set li = list inp
if length li >= 6
begin
if li at 2 == li at 3 and li at 4 == li at 5
begin
print string Yes
end
else
begin
print string No
end
end
else
begin
print string No
end
end function
call coffeeLike inp | import sys
inp=sys.stdin.readline()
def coffeeLike(inp):
li=list(inp)
if(len(li)>=6):
if (li[2]==li[3]) and (li[4]==li[5]):
print("Yes")
else:
print("No")
else:
print("No")
coffeeLike(inp) | Python | zaydzuhri_stack_edu_python |
function on_ping self data
begin
string Called when the client pings our websocket connection. We proxy it to the backend.
debug format string jupyter_server_proxy: on_ping: {} data
call _record_activity
if has attribute self string ws
begin
call write_ping data
end
end function | def on_ping(self, data):
"""
Called when the client pings our websocket connection.
We proxy it to the backend.
"""
self.log.debug('jupyter_server_proxy: on_ping: {}'.format(data))
self._record_activity()
if hasattr(self, 'ws'):
self.ws.protocol.write... | Python | jtatman_500k |
function test_dup_fields_merge self mock_track_factory tmp_session
begin
set track1 = call mock_track_factory
set track2 = call mock_track_factory
set track_num = track_num
add tmp_session track1
merge call get_existing tmp_session
merge track2
end function | def test_dup_fields_merge(self, mock_track_factory, tmp_session):
track1 = mock_track_factory()
track2 = mock_track_factory()
track2.track_num = track1.track_num
tmp_session.add(track1)
track2.album_obj.merge(track2.album_obj.get_existing(tmp_session))
tmp_session.merge(... | Python | nomic_cornstack_python_v1 |
from firebase import firebase
from app import app
from flask import render_template , request , session
import urllib2
from bs4 import BeautifulSoup
from score import *
from home import *
decorator call route string /leaderboard/
function leaderboard
begin
comment imported firebase database where all the scores and use... | from firebase import firebase
from app import app
from flask import render_template, request, session
import urllib2
from bs4 import BeautifulSoup
from score import *
from home import *
@app.route('/leaderboard/')
def leaderboard():
# imported firebase database where all the scores and usernames are stored
db_curso... | Python | zaydzuhri_stack_edu_python |
from soccersimulator import SoccerTeam , Simulation , show_simu , Strategy
from module.strategies import *
comment Creation d'une equipe
set pyteam = call SoccerTeam name=string PyTeam
set thon = call SoccerTeam name=string ThonTeam
comment Strategie qui ne fait rien
add pyteam string Mil call FonceurStrategy
comment S... | from soccersimulator import SoccerTeam, Simulation, show_simu, Strategy
from module.strategies import *
## Creation d'une equipe
pyteam = SoccerTeam(name="PyTeam")
thon = SoccerTeam(name="ThonTeam")
pyteam.add("Mil",FonceurStrategy()) #Strategie qui ne fait rien
thon.add("FonS",Milieu()) #Strategie aleatoire
pytea... | Python | zaydzuhri_stack_edu_python |
function show_flags self
begin
for row in board
begin
for tile in row
begin
if bomb
begin
set flagged = true
end
end
end
end function | def show_flags(self):
for row in self.board:
for tile in row:
if tile.bomb:
tile.flagged = True | Python | nomic_cornstack_python_v1 |
string Given list of patterns with wild carts (*), you need to determine which one of these pattern matches the given path. Wildcard can be replaced by any word/char In case of tie: prefer the pattern whose leftmost wildcard appears in a field further to the right Patterns are ',' separated and paths are '/' separated.... | '''
Given list of patterns with wild carts (*),
you need to determine which one of these pattern matches
the given path.
Wildcard can be replaced by any word/char
In case of tie: prefer the pattern whose leftmost wildcard
appears in a field further to the right
Patterns are ',' separated a... | Python | zaydzuhri_stack_edu_python |
string 描述 使用turtle库，绘制一个八边形。 注意：这是一个自动评阅题目，请补充"编程模板"中横线内容。 输出示例 八边形效果如下：
comment OctagonDraw.py
import turtle as t
call pensize ... | '''
描述
使用turtle库，绘制一个八边形。
注意：这是一个自动评阅题目，请补充"编程模板"中横线内容。
输出示例
八边形效果如下：
'''
#OctagonDraw.py
import turtle... | Python | zaydzuhri_stack_edu_python |
string https://docs.google.com/document/d/1_rs5BXklnLqGS6g6eAjevVHsPafv4PXDCi_dAM2b7G0/edit?pli=1
import cookielib
import urllib2
import simplejson
set API_URL = string http://api.yousee.tv/rest
set API_KEY = string HCN2BMuByjWnrBF4rUncEfFBMXDumku7nfT3CMnn
set AREA_TVGUIDE = string tvguide
class YouSeeApi extends objec... | """
https://docs.google.com/document/d/1_rs5BXklnLqGS6g6eAjevVHsPafv4PXDCi_dAM2b7G0/edit?pli=1
"""
import cookielib
import urllib2
import simplejson
API_URL = 'http://api.yousee.tv/rest'
API_KEY = 'HCN2BMuByjWnrBF4rUncEfFBMXDumku7nfT3CMnn'
AREA_TVGUIDE = 'tvguide'
class YouSeeApi(object):
COOKIE_JAR = cookielib... | Python | zaydzuhri_stack_edu_python |
function update_xml_element self
begin
string Updates the xml element contents to matches the instance contents. :returns: Updated XML element. :rtype: lxml.etree._Element
if not has attribute self string xml_element
begin
set xml_element = call Element name nsmap=NSMAP
end
clear xml_element
if has attribute self strin... | def update_xml_element(self):
"""
Updates the xml element contents to matches the instance contents.
:returns: Updated XML element.
:rtype: lxml.etree._Element
"""
if not hasattr(self, 'xml_element'):
self.xml_element = etree.Element(self.name, nsmap=NSMAP)
... | Python | jtatman_500k |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import numpy.polynomial.polynomial as poly
comment Suicide vs education
comment load data frames
set dfSuicide = read csv string suicide-death-rates.csv
set dfEducation = read csv string mean-years-of-schooling.csv
comment Choose data from year 2017... | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import numpy.polynomial.polynomial as poly
#####################################
# Suicide vs education
#####################################
# load data frames
dfSuicide = pd.read_csv('suicide-death-rates.csv')
dfEducation = pd.read_csv('mean-yea... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function __init__ self X Y costs fixed
begin
set X = X
set Y = Y
set costs = costs
set fixed = fixed
end function
function copy self
begin
return call type self copy X copy Y copy costs copy fixed
end function
end class | class Solution():
def __init__(self, X, Y, costs, fixed):
self.X = X
self.Y = Y
self.costs = costs
self.fixed = fixed
def copy(self):
return type(self)(
self.X.copy(),
self.Y.copy(),
self.costs.copy(),
self.fixed.copy()
... | Python | zaydzuhri_stack_edu_python |
comment Sequence Types
set party = string Spring_Break
set food = list string pizza string wings string cake string chips string BBQ
set drinks = tuple string soda string water string juice string tea
set rsvps = list 1 2 3 5 2 4 2 6 8 2 5 1 8 2
comment Common Sequence Operations
print string in function
set x = string... | #Sequence Types
party='Spring_Break'
food=['pizza', 'wings', 'cake', 'chips', 'BBQ']
drinks=('soda', 'water', 'juice', 'tea')
rsvps=[1, 2, 3, 5, 2, 4, 2, 6, 8, 2, 5, 1, 8, 2]
#Common Sequence Operations
print('in function')
x = 'wings' in food
print(x)
y = 'beer' in drinks
print(y)
z = 'B' in p... | Python | zaydzuhri_stack_edu_python |
function prime_factors_sum n divisor=2 result=0
begin
if n <= 1
begin
return result
end
else
if n % divisor == 0
begin
return call prime_factors_sum n // divisor divisor result + divisor
end
else
begin
return call prime_factors_sum n divisor + 1 result
end
end function
set n = 123456789
set result = call prime_factors_... | def prime_factors_sum(n, divisor=2, result=0):
if n <= 1:
return result
elif n % divisor == 0:
return prime_factors_sum(n // divisor, divisor, result + divisor)
else:
return prime_factors_sum(n, divisor + 1, result)
n = 123456789
result = prime_factors_sum(n)
print(result)
| Python | jtatman_500k |
function __init__ __self__ arn=none description=none destination_cidr_block=none destination_port_range=none protocol=none rule_action=none rule_number=none source_cidr_block=none source_port_range=none traffic_direction=none traffic_mirror_filter_id=none
begin
if arn is not none
begin
set __self__ string arn arn
end
i... | def __init__(__self__, *,
arn: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
destination_cidr_block: Optional[pulumi.Input[str]] = None,
destination_port_range: Optional[pulumi.Input['TrafficMirrorFilterRuleDestin... | Python | nomic_cornstack_python_v1 |
from sympy import plot_implicit
function plot2Variables functions
begin
string This function plot a list of 2 functions in implicit form to facilitate finding a good point for X^0 Parameters: functions = List of fuctions in they implicit form
print string ---------Plotting---------
set initialPoint = decimal input stri... | from sympy import plot_implicit
def plot2Variables(functions):
"""This function plot a list of 2 functions in implicit form to facilitate finding a good point for X^0
Parameters:
functions = List of fuctions in they implicit form
"""
print('---------Plotting---------')
initialPoint=float(input('Insert a lower ... | Python | zaydzuhri_stack_edu_python |
function build_all_datasets cfg tokenizer train_valid_test_num_samples
begin
set train_dataset = call RetroQAFineTuneDataset get train_ds string file_name tokenizer get train_ds string answer_only_loss pad_id get train_ds string seq_length get train_ds string add_bos get train_ds string add_eos train_valid_test_num_sam... | def build_all_datasets(
cfg, tokenizer, train_valid_test_num_samples,
):
train_dataset = RetroQAFineTuneDataset(
cfg.train_ds.get('file_name'),
tokenizer,
cfg.train_ds.get('answer_only_loss'),
tokenizer.pad_id,
cfg.train_ds.get('seq_length'),
cfg.train_ds.get('add... | Python | nomic_cornstack_python_v1 |
string Created on 2019 M10 31 @author: Sheldon Van Middelkoop
string ----------------------------------------------------------------------------------------------------------------------- Importing Libraries ---------------------------------------------------------------------------------------------------------------... | '''
Created on 2019 M10 31
@author: Sheldon Van Middelkoop
'''
"""
-----------------------------------------------------------------------------------------------------------------------
Importing Libraries
----------------------------------------------------------------------------------------------------------------... | Python | zaydzuhri_stack_edu_python |
set name = input
print string While we seem to disagree on this issue, { name } , I respect your opinion and look forward to further discussion! | name = input()
print(f"While we seem to disagree on this issue, {name}, I respect your opinion and look forward to further discussion!") | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
comment Python is very slow, takes 50x time of c_test1.c
function is_prime n
begin
set i = 2
while i < n
begin
if n % i == 0
begin
return false
end
set i = i + 1
end
return true
end function
set count = 1
set i = 2
set n_max = 100000
while i <= n_max
begin
if call ... | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Python is very slow, takes 50x time of c_test1.c
def is_prime(n):
i = 2
while i < n:
if n % i == 0:
return False
i += 1
return True
count = 1
i = 2
n_max = 100000
while i <= n_max:
if is_prime(i):
count += 1
i += 1
| Python | zaydzuhri_stack_edu_python |
function pos self
begin
if _name is none
begin
return none
end
return split _name string . at 1
end function | def pos(self):
if self._name is None:
return None
return self._name.split('.')[1] | Python | nomic_cornstack_python_v1 |
function slice_video video_name index_file intro outro
begin
set clip_c = call VideoFileClip video_name
if intro or outro
begin
set intro_clip = call VideoFileClip string videos/thedojo_intro.mp4
set outro_clip = call VideoFileClip string videos/thedojo_outro.mp4
end
set duration = duration
print duration
set timestamp... | def slice_video(video_name, index_file, intro, outro):
clip_c = VideoFileClip(video_name)
if intro or outro:
intro_clip = VideoFileClip("videos/thedojo_intro.mp4")
outro_clip = VideoFileClip("videos/thedojo_outro.mp4")
duration = clip_c.duration
print(duration)
timestamps = []
... | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
comment In[848]:
import numpy as np
import pandas as pd
import random
from collections import defaultdict
from scipy.sparse import csr_matrix
from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import Normalizer
from sklearn.neighbors import NearestNeighbors
import matplotlib... | # coding: utf-8
# In[848]:
import numpy as np
import pandas as pd
import random
from collections import defaultdict
from scipy.sparse import csr_matrix
from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import Normalizer
from sklearn.neighbors import NearestNeighbors
import matplotlib.pyplot a... | Python | zaydzuhri_stack_edu_python |
function incr self name amount=1
begin
return call format_inline string INCRBY name amount
end function | def incr(self, name, amount=1):
return self.format_inline('INCRBY', name, amount) | Python | nomic_cornstack_python_v1 |
import tkinter
from tkinter import *
set root = call Tk
call geometry string 500x500+100+100
title root string Canvas
call minsize width=400 height=400
call maxsize width=600 height=500
comment DEFINIG A CANVAS#####################
class _Can
begin
function __init__ self bg master=none
begin
set master = master
set bg ... | import tkinter
from tkinter import*
root = Tk()
root.geometry('500x500+100+100')
root.title('Canvas')
root.minsize(width = 400, height = 400)
root.maxsize(width = 600, height = 500)
###################DEFINIG A CANVAS#####################
class _Can():
def __init__(self, bg, master=None):
... | Python | zaydzuhri_stack_edu_python |
from sortedcontainers import SortedDict
from transaction import verify_transaction
import json
comment transaction pool
class Pool extends object
begin
set pool = list
function __init__ self
begin
pass
end function
function push self transaction
begin
append pool transaction
comment True stand for success
return true
... | from sortedcontainers import SortedDict
from transaction import verify_transaction
import json
# transaction pool
class Pool(object):
pool = []
def __init__(self):
pass
def push(self,transaction):
self.pool.append(transaction)
# True stand for success
return True
... | Python | zaydzuhri_stack_edu_python |
function Set self *args
begin
return call itkRGBPixelUC_Set self *args
end function | def Set(self, *args):
return _itkRGBPixelPython.itkRGBPixelUC_Set(self, *args) | Python | nomic_cornstack_python_v1 |
import bottle
import datetime
import pytz
decorator call route string /zone
function select_zone
begin
set head = string <html> <head> <title>Zone Selector</title> </head> <body>
set body = string <p>Show me the time in:</p> <form action="zone" method="post"> <select name="zones" multiple="multiple"> <option value="Eur... | import bottle
import datetime
import pytz
@bottle.route('/zone')
def select_zone():
head="<html> <head> <title>Zone Selector</title> </head> <body> "
body="""<p>Show me the time in:</p>
<form action="zone" method="post">
<select name="zones" multiple="multiple">
<option value="Europe/Istanbul">Ista... | Python | zaydzuhri_stack_edu_python |
function reconstruction_loss self
begin
return _reconstruction_loss
end function | def reconstruction_loss(self):
return self._reconstruction_loss | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
from collections import defaultdict
import sys
function parse_input file_path
begin
with open file_path as f
begin
set source = integer strip read line f
set sink = integer strip read line f
set graph = default dictionary list
for line in read lines f
begin
set tuple a b dist = map int spl... | #!/usr/bin/env python3
from collections import defaultdict
import sys
def parse_input(file_path):
with open(file_path) as f:
source = int(f.readline().strip())
sink = int(f.readline().strip())
graph = defaultdict(list)
for line in f.readlines():
a, b, dist = map(int, l... | Python | zaydzuhri_stack_edu_python |
import numpy as np
set a = ones tuple 20 30
set b = ones tuple 20 30
set c = a * b
print shape | import numpy as np
a=np.ones((20,30))
b=np.ones((20,30))
c=a*b
print(c.shape) | Python | zaydzuhri_stack_edu_python |
function fit self X y=none
begin
set X = call _check_X X
if handle_unknown not in list string error string ignore
begin
set template = string handle_unknown should be either 'error' or 'ignore', got %s
raise call ValueError template % handle_unknown
end
if hashing_dim is not none and not is instance hashing_dim int
beg... | def fit(self, X, y=None):
X = self._check_X(X)
if self.handle_unknown not in ["error", "ignore"]:
template = "handle_unknown should be either 'error' or " "'ignore', got %s"
raise ValueError(template % self.handle_unknown)
if (self.hashing_dim is not None) and (not isins... | Python | nomic_cornstack_python_v1 |
function initializePatches win expInfo
begin
set patchClock = call Clock
set ISI = call StaticPeriod win=win screenHz=expInfo at string frameRate name=string ISI
set patch1 = call GratingStim win=win name=string patch1 units=string cm tex=string sin mask=string raisedCos ori=0 pos=list 0 0 size=10 sf=0.4 phase=0.0 colo... | def initializePatches(win, expInfo):
patchClock = core.Clock()
ISI = core.StaticPeriod(win=win, screenHz=expInfo['frameRate'], name='ISI')
patch1 = visual.GratingStim(win=win, name='patch1',units='cm',
tex='sin', mask='raisedCos',
ori=0, pos=[0,0], size=10, sf=0.4, phase=0.0,
c... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment ---
set FILE = string Data.csv
comment ---
import csv
comment ---
function get_field field
begin
string Get values of a field
set obj = open FILE newline=string
set reader = dict reader obj delimiter=string ,
set values = list
for row in reader
begin
append values row at field
end... | #!/usr/bin/env python3
#---
FILE = "Data.csv"
#---
import csv
#---
def get_field(field):
"""
Get values of a field
"""
obj = open(FILE, newline = "")
reader = csv.DictReader(obj, delimiter = ",")
values = []
for row in reader:
values.append(row[field])
obj.close()
return... | Python | zaydzuhri_stack_edu_python |
comment Alex wang @ 20170512
function ifelse weight
begin
set body = if expression weight > 120 then string fat else string thin
print body
end function
function test_cnumerate
begin
print string test enumerate.........
set str_list = list string one string two string three string four
for tuple i str in enumerate str_... | ## Alex wang @ 20170512
def ifelse(weight):
body = "fat" if weight > 120 else "thin"
print(body)
def test_cnumerate():
print("test enumerate.........")
str_list = ["one", "two", "three", "four"]
for i, str in enumerate(str_list):
print("{}\t{}".format(i, str))
def test_zip():
print(... | Python | zaydzuhri_stack_edu_python |
comment noqa: E501
function __init__ self object_info=none implementation_reference=none package=none method=none default_args=none data_parameters=none assessment_types=none version=none
begin
set swagger_types = dict string object_info ObjectInfo ; string implementation_reference ObjectReference ; string package str ... | def __init__(self, object_info: ObjectInfo=None, implementation_reference: ObjectReference=None, package: str=None, method: str=None, default_args: object=None, data_parameters: MetricDataParameters=None, assessment_types: List[str]=None, version: str=None): # noqa: E501
self.swagger_types = {
'obj... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sat Jan 12 11:13:11 2019 @author: 29132
import scipy.io as scio
import numpy as np
from Findclosedata import findClosestCentroids
from calcenter import computeCentroids
from runkmeans import runkMeans
import matplotlib.image as mpimg
from kMeansInit import kMeansInitCentr... | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 12 11:13:11 2019
@author: 29132
"""
import scipy.io as scio
import numpy as np
from Findclosedata import findClosestCentroids
from calcenter import computeCentroids
from runkmeans import runkMeans
import matplotlib.image as mpimg
from kMeansInit import kMeans... | Python | zaydzuhri_stack_edu_python |
function _get_trajopt_obj self plan active_ts=none
begin
if active_ts == none
begin
set active_ts = tuple 0 horizon - 1
end
set tuple start end = active_ts
set traj_objs = list
for param in values params
begin
if param not in _param_to_ll
begin
continue
end
if _type in list string Robot string Can
begin
for attr_name ... | def _get_trajopt_obj(self, plan, active_ts=None):
if active_ts == None:
active_ts = (0, plan.horizon-1)
start, end = active_ts
traj_objs = []
for param in plan.params.values():
if param not in self._param_to_ll:
continue
if param._type ... | Python | nomic_cornstack_python_v1 |
function retrieve_body self retrieve_url timeout=120
begin
comment Firstly Login
call login
set url = call parse_url retrieve_url
set headers = copy headers
set headers at string Accept-Encoding = string gzip
try
begin
set response = get requests url verify=false headers=headers timeout=timeout
set encoding = string UT... | def retrieve_body(self, retrieve_url, timeout=120):
# Firstly Login
self.login()
url = self.parse_url(retrieve_url)
headers = self.headers.copy()
headers["Accept-Encoding"] = 'gzip'
try:
response = requests.get(url, verify=False, headers=headers, timeout=tim... | Python | nomic_cornstack_python_v1 |
function is_started self
begin
return _started
end function | def is_started(self):
return self._started | Python | nomic_cornstack_python_v1 |
import cv2
import math
comment 导入所需要的库：
import numpy as np
from datetime import datetime
import argparse
import matplotlib.pyplot as plt
comment 图像的读取
set img = call imread string dujuan_1.jpg
comment 灰度图像的读取
set gray = call cvtColor img COLOR_BGR2GRAY
comment 修改原图的尺寸
set fx = 0.3
set fy = 0.3
set image = call resize i... | import cv2
import math
# 导入所需要的库：
import numpy as np
from datetime import datetime
import argparse
import matplotlib.pyplot as plt
# 图像的读取
img = cv2.imread("dujuan_1.jpg")
# 灰度图像的读取
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# 修改原图的尺寸
fx = 0.3
fy = 0.3
image = cv2.resize(img, dsize=None, fx=fx, fy=fy, interpolati... | Python | zaydzuhri_stack_edu_python |
import random
import pandas
import locale
from operator import itemgetter
call set_option string display.width 1000
call setlocale LC_ALL string
set VALUE_SMALLEST_DENOM = 5
set NUM_DENOMS = 10
set NUM_ITEMS = 30
comment used for converting a bidders index to a name
comment 65 means bidder 0 is named A, bidder 1 is nam... | import random
import pandas
import locale
from operator import itemgetter
pandas.set_option('display.width', 1000)
locale.setlocale( locale.LC_ALL, '' )
VALUE_SMALLEST_DENOM = 5
NUM_DENOMS = 10
NUM_ITEMS = 30
# used for converting a bidders index to a name
# 65 means bidder 0 is named A, bidder 1 is named B, etc.
B... | Python | zaydzuhri_stack_edu_python |
function makeLazyEquation
begin
comment Make some variables
set tuple v1 v2 v3 v4 v5 v6 v7 = call _makeArgs 7
comment Make some operations
set mult = call MultiplicationOperator
set plus = call AdditionOperator
set minus = call SubtractionOperator
set pow = call ExponentiationOperator
set exp = call ExponentiationOpera... | def makeLazyEquation():
# Make some variables
v1, v2, v3, v4, v5, v6, v7 = _makeArgs(7)
# Make some operations
mult = literals.MultiplicationOperator()
plus = literals.AdditionOperator()
minus = literals.SubtractionOperator()
pow = literals.ExponentiationOperator()
exp = literals.Expon... | Python | nomic_cornstack_python_v1 |
comment Vamsi Desu
comment GT username: vdesu7
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn import metrics
from sklearn.model_selection import validation_curve , GridSearchCV
f... | # Vamsi Desu
# GT username: vdesu7
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn import metrics
from sklearn.model_selection import validation_curve, GridSearchCV
from sklearn... | Python | zaydzuhri_stack_edu_python |
comment Copyright(C) 2018 刘珅珅
comment Environment: python 3.6.4
comment Date: 2018.4.24
comment 通用函数
comment 不知道函数名和参数
function tracer func *args **kargs
begin
print string call func: __name__
return call func *args keyword kargs
end function
function func1 a b c d
begin
return a + b + c + d
end function
function func2... | # Copyright(C) 2018 刘珅珅
# Environment: python 3.6.4
# Date: 2018.4.24
# 通用函数
# 不知道函数名和参数
def tracer(func, *args, **kargs):
print("call func: ", func.__name__)
return func(*args, **kargs)
def func1(a, b, c, d):
return a + b + c + d
def func2(a, b):
return a * b
print(tracer(func1, 1, 2, c=3, d=4)... | Python | zaydzuhri_stack_edu_python |
function evaluate_trajs cost states controls
begin
set N = shape at 0
set T = shape at 1
set costs = zeros N
for tuple i tuple x u in enumerate zip states controls
begin
for t in range T
begin
set costs at i = costs at i + call stage_cost x at t u at t
end
set costs at i = costs at i + call terminal_cost x at T
end
ret... | def evaluate_trajs(cost, states, controls):
N = states.shape[0]
T = controls.shape[1]
costs = np.zeros(N)
for i, (x, u) in enumerate(zip(states, controls)):
for t in range(T):
costs[i] += cost.stage_cost(x[t],u[t])
costs[i] += cost.terminal_cost(x[T])
return costs | Python | nomic_cornstack_python_v1 |
function test_default_configuration_file self
begin
set root_path = __HERE__
call load_configuration app
assert equal config at string SECRET_KEY string supersecret
end function | def test_default_configuration_file(self):
self.app.config.root_path = __HERE__
load_configuration(self.app)
self.assertEqual(self.app.config["SECRET_KEY"], "supersecret") | Python | nomic_cornstack_python_v1 |
string Functions for cleansing the data files for the heart disease final project.
import logging
import pandas as pd
import pickle
from pathlib import Path
import numpy as np
set LOGGER = call getLogger __name__
function get_clean_df raw_path=string clean_path=string infer use_cache=true raw_only=false
begin
string I... | """Functions for cleansing the data files for the heart disease final project.
"""
import logging
import pandas as pd
import pickle
from pathlib import Path
import numpy as np
LOGGER = logging.getLogger(__name__)
def get_clean_df(raw_path = '',
clean_path="infer",
use_... | Python | zaydzuhri_stack_edu_python |
function perform_create self serializer
begin
save
end function | def perform_create(self, serializer):
serializer.save() | Python | nomic_cornstack_python_v1 |
function addAttribute self attr
begin
pass
end function | def addAttribute(self, attr):
pass | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
import PIL
from PIL import Image
set img = open string black_white.jpg
set tuple width height = size
print width height
set img1 = zeros tuple 339 509 3 uint8
set img1 = call rectangle img1 tuple 200 0 tuple 300 100 tuple 255 255 255 - 1
set img2 = call imread string black_white.jpg
commen... | import cv2
import numpy as np
import PIL
from PIL import Image
img = PIL.Image.open("black_white.jpg")
width, height = img.size
print(width, height)
img1 = np.zeros((339,509,3), np.uint8)
img1 = cv2.rectangle(img1, (200,0), (300,100), (255,255,255), -1)
img2 = cv2.imread("black_white.jpg")
# bitAnd = cv... | Python | zaydzuhri_stack_edu_python |
from skimage import io
import sys
import numpy as np
comment n_channles = 4
if length argv < 3
begin
print string Usage:
print string python3 merge.py file_1 file_2 ... file_n
print string Description:
print string merges file_1, file_2, ..., file_n into output.jpg
print string merges *_sem.png files into output_sem.pn... | from skimage import io
import sys
import numpy as np
#n_channles = 4
if len(sys.argv) < 3:
print("Usage: ")
print("python3 merge.py file_1 file_2 ... file_n")
print("Description:")
print("merges file_1, file_2, ..., file_n into output.jpg")
print("merges *_sem.png files into output_sem.png")
s... | Python | zaydzuhri_stack_edu_python |
import hashlib
import os
import random
import sys
import time
import xml.etree.ElementTree as ET
from utils import extract_spectrogram_windows
import tensorflow as tf
try
begin
from urllib import urlretrieve
end
except any
begin
from urllib.request import urlretrieve
end
class DataProvider
begin
function __init__ self ... | import hashlib
import os
import random
import sys
import time
import xml.etree.ElementTree as ET
from utils import extract_spectrogram_windows
import tensorflow as tf
try:
from urllib import urlretrieve
except:
from urllib.request import urlretrieve
class DataProvider:
def __init__(self, download_folder=... | Python | zaydzuhri_stack_edu_python |
function test_index_events_fail self
begin
set response = get client string /v1/events
assert equal status_code 500
end function | def test_index_events_fail(self):
response = self.client.get('/v1/events')
self.assertEqual(response.status_code, 500) | Python | nomic_cornstack_python_v1 |
comment -*- coding:utf-8 -*-
import logging
set _logger = call getLogger __name__
comment 现在有多个字典或者映射，你想将它们从逻辑上合并为一个单一的映射后执行某些操作， 比如查找值或者检查某些键是否存在。
set a = dict string x 1 ; string z 3
set b = dict string y 2 ; string z 4
from collections import ChainMap
comment 一个 ChainMap 接受多个字典并将它们在逻辑上变为一个字典。 然后，这些字典并不是真的合并在一起了， Cha... | # -*- coding:utf-8 -*-
import logging
_logger = logging.getLogger(__name__)
# 现在有多个字典或者映射，你想将它们从逻辑上合并为一个单一的映射后执行某些操作， 比如查找值或者检查某些键是否存在。
a = {'x': 1, 'z': 3 }
b = {'y': 2, 'z': 4 }
from collections import ChainMap
# 一个 ChainMap 接受多个字典并将它们在逻辑上变为一个字典。 然后，这些字典并不是真的合并在一起了， ChainMap 类只是在内部创建了一个容纳这些字典的列表
c = ChainMap(a,b)
... | Python | zaydzuhri_stack_edu_python |
function test_contourf
begin
set mp = call MapPlot sector=string iowa nocaption=true
call contourf array range - 94 - 89 array range 40 45 array range 5 array range 5 clevlabels=list string a string b string c string d string e
return fig
end function | def test_contourf():
mp = MapPlot(sector="iowa", nocaption=True)
mp.contourf(
np.arange(-94, -89),
np.arange(40, 45),
np.arange(5),
np.arange(5),
clevlabels=["a", "b", "c", "d", "e"],
)
return mp.fig | Python | nomic_cornstack_python_v1 |
function print_regions regions
begin
from tabulate import tabulate
set headers = list string Region string numServers string numRealms string numPlayers
set table = list comprehension list k v at string numServers v at string numRealms v at string numPlayers for tuple k v in sorted items regions
print call tabulate tab... | def print_regions(regions):
from tabulate import tabulate
headers = ["Region", "numServers", "numRealms", "numPlayers"]
table = [[k, v["numServers"], v["numRealms"], v["numPlayers"]]
for k, v in sorted(regions.items())]
print(tabulate(table, headers, tablefmt="rst")) | Python | nomic_cornstack_python_v1 |
import random
import string
set length = 10
set chars = ascii_letters + digits
set password = join string generator expression random choice chars for i in range length
print password | import random
import string
length = 10
chars = string.ascii_letters + string.digits
password = ''.join(random.choice(chars) for i in range(length))
print(password)
| Python | flytech_python_25k |
function _get_local_id self
begin
return __local_id
end function | def _get_local_id(self):
return self.__local_id | Python | nomic_cornstack_python_v1 |
function confidence_score self predicts confidence
begin
set predict_classes = reshape tf predicts at tuple slice : : slice : : slice : : slice 18 : - 1 : list Batch_Size cell_size cell_size num_class
set confidence = call tile confidence list 1 1 1 num_class
set class_speci_conf_score = call multiply predict... | def confidence_score(self, predicts, confidence):
predict_classes = tf.reshape(predicts[:, :, :, 18:-1], [self.Batch_Size, self.cell_size, self.cell_size, self.num_class])
confidence = tf.tile(confidence, [1, 1, 1, self.num_class])
class_speci_conf_score = tf.multiply(predict_classes, confidenc... | Python | nomic_cornstack_python_v1 |
function today
begin
return call datestamp now
end function | def today():
return datestamp(now()) | Python | nomic_cornstack_python_v1 |
from keras.preprocessing.text import Tokenizer
import pandas as pd
from keras.utils import to_categorical
from sklearn.model_selection import train_test_split
from keras import models , layers
import pickle
set tokenizer = call Tokenizer
set nama_file = string D:\resa\D\KULIAH\S2\Semester 1\python\mlNN_1\datasetSMS\dat... | from keras.preprocessing.text import Tokenizer
import pandas as pd
from keras.utils import to_categorical
from sklearn.model_selection import train_test_split
from keras import models, layers
import pickle
tokenizer = Tokenizer()
nama_file = "D:\\resa\\D\\KULIAH\\S2\\Semester 1\\python\\mlNN_1\\datasetSMS\\dataset.csv... | Python | zaydzuhri_stack_edu_python |
function __getNewWallet self
begin
comment get the public and private key
set privateKey = call __getNewPrivateKey
set publicKey = call __getNewPublicKey privateKey
comment create the dictionary containing the public and private key
set walletKeySet = dict string private_key decode call hexlify call exportKey format=st... | def __getNewWallet(self)->dict:
# get the public and private key
privateKey = self.__getNewPrivateKey()
publicKey = self.__getNewPublicKey(privateKey)
# create the dictionary containing the public and private key
walletKeySet = {
'private_key': binascii.hexlify(priva... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import rospy
import time
from std_msgs.msg import UInt32MultiArray , Char
class Arduino extends object
begin
function __init__ self min_distance=0.12 max_distance=0.9 lidar_queue_size=10 claw_queue_size=10
begin
set min_distance = min_distance
set max_distance = max_distance
set mid = 0.5 *... | #!/usr/bin/env python
import rospy
import time
from std_msgs.msg import UInt32MultiArray, Char
class Arduino(object):
def __init__(self,
min_distance=0.12,
max_distance=0.9,
lidar_queue_size=10,
claw_queue_size=10):
self.min_distance = mi... | Python | zaydzuhri_stack_edu_python |
comment -------------------------------------------------------------
comment Main REGEX TELEFONES
comment ---------------------------------------------------------
from TelefonesBr import TelefonesBr
set telefone = input string Digite o número do seu celular com DDD e o código do seu país:
set telefone_objeto = call T... | # -------------------------------------------------------------
# Main REGEX TELEFONES
# ---------------------------------------------------------
from TelefonesBr import TelefonesBr
telefone = input(
"Digite o número do seu celular com DDD e o código do seu país: "
)
telefone_objeto = TelefonesBr(telefone)
pri... | Python | zaydzuhri_stack_edu_python |
function run list_of_goals result_folder general_and=false general_or=false no_clusters=false clusters_origianl=false clusters_mutex=false complete=true
begin
for g in list_of_goals
begin
print g
end
set controller_generated_and = false
set trivial_and = false
set controller_generated_or = false
set trivial_or = false
... | def run(list_of_goals: List[CGTGoal], result_folder: str,
general_and=False,
general_or=False,
no_clusters=False,
clusters_origianl=False,
clusters_mutex=False,
complete=True):
for g in list_of_goals:
print(g)
controller_generated_and = False
trivial_... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
from typing import List , Tuple , Dict , Set , TypeVar , Any , Optional , Iterable
from collections import defaultdict
from dungeon_lib import roomGraph4 as roomGraph
set A = call TypeVar string A
class Queue
begin
function __init__ self
begin
set queue : List at A = list
end function
funct... | #!/usr/bin/env python
from typing import List, Tuple, Dict, Set, TypeVar, Any, Optional, Iterable
from collections import defaultdict
from dungeon_lib import roomGraph4 as roomGraph
A = TypeVar('A')
class Queue:
def __init__(self):
self.queue: List[A] = list()
def enqueue(self, a: A):
self.qu... | Python | zaydzuhri_stack_edu_python |
comment coding:iso-8859-9 Trke
comment p_13502.py: try-raise ile hazr veya zel istisna frlatp except Exception'la yakalama rnei.
try
begin
raise call SyntaxError string Afedersiniz, kendi hatam!..
end
except Exception as ist
begin
print ist
end
print string Program devam ediyor...
print string - * 75 string sep=string... | # coding:iso-8859-9 Trke
# p_13502.py: try-raise ile hazr veya zel istisna frlatp except Exception'la yakalama rnei.
try: raise SyntaxError ("Afedersiniz, kendi hatam!..")
except Exception as ist: print (ist)
print ("Program devam ediyor...")
print ("-"*75, "\n", sep="")
#-------------------------------------... | Python | zaydzuhri_stack_edu_python |
function score self word context
begin
set context = call check_context context
set context_freqdist = ngrams at context
set word_count = context_freqdist at word
set context_count = call N
return word_count + k / context_count + k_norm
end function | def score(self, word, context):
context = self.check_context(context)
context_freqdist = self.ngrams[context]
word_count = context_freqdist[word]
context_count = context_freqdist.N()
return (word_count + self.k) / \
(context_count + self.k_norm) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
import os
import csv
set starting_dir = get current directory
function csvstuff
begin
print format string Starting in directory: {} starting_dir
change directory starting_dir
set testdata_fname = string data/testdata.csv
with open testdata_fname as csv_f
begin
set csvreader = reader csv_f
... | #!/usr/bin/env python3
import os
import csv
starting_dir = os.getcwd()
def csvstuff():
print("Starting in directory: {}".format(starting_dir))
os.chdir(starting_dir)
testdata_fname = 'data/testdata.csv'
with open(testdata_fname) as csv_f:
csvreader = csv.reader(csv_f)
for row in csvrea... | Python | zaydzuhri_stack_edu_python |
for z in range integer input
begin
set tuple l k = map int split input
set s = 0
if k > l
begin
print string Case + string z + 1 + string : 0
end
else
if k == l
begin
print string Case + string z + 1 + string : 1
end
else
begin
if l <= 4
begin
set n = 1
end
else
begin
set n = l - 4 + 1
end
for i in range n + 1 0 - 1
be... | for z in range(int(input())):
l,k=map(int,input().split())
s=0
if k>l:
print("Case "+str(z+1)+": 0")
elif k==l:
print("Case "+str(z+1)+": 1")
else:
if l<=4:
n=1
else:
n=(l-4)+1
for i in range(n+1,0,-1):
if i-k>0:
... | Python | zaydzuhri_stack_edu_python |
function get_rating_count self from_admin=false
begin
set rate_score = call get_score self
return rate_score
end function | def get_rating_count(self, from_admin = False):
rate_score = Ratings.objects.get_score(self)
return rate_score | Python | nomic_cornstack_python_v1 |
function get_local_attribute_value self attr_name
begin
set op = call get_attribute_set_cmd attr_name
if op is not none and source != string inheritance
begin
return new_value
end
else
begin
return none
end
end function | def get_local_attribute_value(self, attr_name):
op = self.get_attribute_set_cmd(attr_name)
if op is not None and op.source != 'inheritance':
return op.new_value
else:
return None | Python | nomic_cornstack_python_v1 |
import sys
import random
set len_away = 10
set f = open string pagesave.txt string r
set lines = read lines f
close f
set count = 0
set line = lines at 538
set line = split line string <span
set teams = list
set counts = list
for a in line
begin
if string class="name" in a and string class="state" not in a and string... | import sys
import random
len_away = 10
f = open('pagesave.txt','r')
lines = f.readlines()
f.close()
count = 0
line = lines[538]
line = line.split("<span")
teams = []
counts = []
for a in line:
if "class=\"name\"" in a and "class=\"state\"" not in a and "class=\"name\"><a></a></span>" not in a:
if "class=\"name\">R... | Python | zaydzuhri_stack_edu_python |
function setEditorData self editor index
begin
set m = model
try
begin
if call column == column
begin
set txt = data m index DisplayRole
call setEditText txt
end
else
begin
comment use default
call setEditorData self editor index
end
end
except any
begin
pass
end
end function | def setEditorData(self, editor, index):
m = index.model()
try:
if index.column() == self.column:
txt = m.data(index, Qt.DisplayRole)
editor.setEditText(txt)
else:
# use default
QItemDelegate.setEditorData(self, edito... | Python | nomic_cornstack_python_v1 |
function gen_free_energy distribution spread=2.0 location=0.0 size=1
begin
if lower distribution == string gaussian
begin
set f_true = call normal loc=location scale=spread size=size
end
else
if lower distribution == string cauchy
begin
from scipy.stats import cauchy
set f_true = call rvs loc=location scale=spread size... | def gen_free_energy(distribution, spread=2.0, location=0.0, size=1):
if distribution.lower() == 'gaussian':
f_true = np.random.normal(loc=location, scale=spread, size=size)
elif distribution.lower() == 'cauchy':
from scipy.stats import cauchy
f_true = cauchy.rvs(loc=location, scale=sprea... | Python | nomic_cornstack_python_v1 |
function create_json fl name
begin
set obj = dumps fl indent=4
with open string new_json/ { name } .json string w as outfile
begin
write outfile obj
end
return
end function | def create_json(fl, name):
obj = json.dumps(fl, indent=4)
with open(f"new_json/{name}.json", "w") as outfile:
outfile.write(obj)
return | Python | nomic_cornstack_python_v1 |
function calculateSalary
begin
set hrs = call raw_input string Enter Hours:
set h = decimal hrs
if h <= 40
begin
set salary = h * 10.5
end
else
begin
set salary = 40 * 10.5 + h - 40 * 10.5 * 1.5
end
print salary
end function | def calculateSalary():
hrs = raw_input("Enter Hours:")
h = float(hrs)
if h <= 40:
salary = h*10.5
else:
salary = 40*10.5 + (h-40)*(10.5*1.5)
print(salary) | Python | zaydzuhri_stack_edu_python |
function parallel_blast db query evalue=1e-50 p_id=100 cpus=- 1 out=string hit.hits
begin
set outfmt_str = string qseqid sseqid pident evalue qcovs qlen length
set args = list string blastn string -db db string -query string - string -evalue string evalue string -perc_identity string p_id string -outfmt string 6 %s % o... | def parallel_blast(db, query, evalue=1E-50, p_id=100, cpus=-1, out='hit.hits'):
outfmt_str = 'qseqid sseqid pident evalue qcovs qlen length'
args = ['blastn', '-db', db, '-query', '-', '-evalue', str(evalue),
'-perc_identity', str(p_id), '-outfmt', "6 %s" % outfmt_str]
with shelve.open(query) as... | Python | nomic_cornstack_python_v1 |
function __init__ self access_token=none
begin
set access_token = access_token
end function | def __init__(self, access_token=None):
self.access_token = access_token | Python | nomic_cornstack_python_v1 |
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