code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function ProcessInput self events pressed_keys
begin
print string uh-oh, you didn't override this in the child class
end function | def ProcessInput(self, events, pressed_keys):
print("uh-oh, you didn't override this in the child class") | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment Define your item pipelines here
comment Don't forget to add your pipeline to the ITEM_PIPELINES setting
comment See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import csv
import codecs
class Jobspider2Pipeline extends object
begin
function __init__ self
begin
set fi... | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import csv
import codecs
class Jobspider2Pipeline(object):
def __init__(self):
self.file = codecs.open("tencent.c... | Python | zaydzuhri_stack_edu_python |
from pyplasm import *
set GRID = call COMP list call INSR PROD call AA QUOTE
comment Piano terra
set circle = call call CIRCLE 0.18 list 30 1
set column = call EXTRUDE list 1 circle 3.58
set columns = call STRUCT call nn 5 list column call t dist list 1 list 3.94
set columnOnBalcony = call call t dist list 2 list 7.55 ... | from pyplasm import *
GRID = COMP([INSR(PROD),AA(QUOTE)])
#Piano terra
circle = CIRCLE(0.18)([30,1])
column = EXTRUDE([1,circle,3.58])
columns = STRUCT(NN(5)([column,T([1])([3.94])]))
columnOnBalcony = T([2])([7.55])(column)
squarePillars = GRID([[0.36,-1.86,0.36,-3.58,0.36,-3.58,0.36],[0.36],[3.29]])
squarePillars =... | Python | zaydzuhri_stack_edu_python |
import datetime
set m = integer input string month:
set d = integer input string date:
set y = integer input string year:
set i = call datetime y m d
print i
set n = string format time i string %A
print title string it is n
print string Successfully finished. | import datetime
m=int(input("month: "))
d=int(input("date: "))
y=int(input("year: "))
i=datetime.datetime(y,m,d)
print(i)
n=i.strftime("%A")
print("it is ".title(),n)
print("Successfully finished.") | Python | zaydzuhri_stack_edu_python |
from game import *
from evaluation import *
import copy
function minimaxBot board arrayLegalMovesO arrayLegalMovesX playTurn depth height alpha beta
begin
string Node pohon menggunakan AnyNode. Format = (id(board,legalO,legalX),nilaiEval,parent)
set alphalocal = deep copy alpha
set betalocal = deep copy beta
comment Ba... | from game import *
from evaluation import *
import copy
def minimaxBot(board, arrayLegalMovesO, arrayLegalMovesX, playTurn, depth, height, alpha, beta):
"""Node pohon menggunakan AnyNode. Format = (id(board,legalO,legalX),nilaiEval,parent)"""
alphalocal = copy.deepcopy(alpha)
betalocal = copy.deepcopy(beta... | Python | zaydzuhri_stack_edu_python |
function recursive_group_merge groups
begin
while length groups at 0 != 1
begin
set groups = call merge_triangulations groups
end
return groups
end function | def recursive_group_merge(groups):
while len(groups[0])!=1:
groups = merge_triangulations(groups)
return groups | Python | nomic_cornstack_python_v1 |
function compute_each_loop self x1_offset x2_offset y_offset compute_num
begin
set burst_len = ceil compute_num / data_each_block
call data_move x1_ub x1_gm at x1_offset 0 1 burst_len 0 0
call data_move x2_ub x2_gm at x2_offset 0 1 burst_len 0 0
set add_loop = compute_num // vector_mask_max * 255
set add_offset = 0
if ... | def compute_each_loop(self, x1_offset, x2_offset,
y_offset, compute_num):
burst_len = math.ceil(compute_num / self.data_each_block)
self.tik_instance.data_move(self.x1_ub,
self.x1_gm[x1_offset], 0, 1,
burst... | Python | nomic_cornstack_python_v1 |
string ' def spiral_matrix(matrix): col_end = len(matrix[0])-1 row_end = len(matrix)-1 col_begin = 0 row_begin = 0 while (row_begin <= row_end and col_begin <= col_end): for i in range(col_begin,col_end+1): print(matrix[row_begin][i]) row_begin += 1 for i in range(row_begin,row_end+1): print(matrix[i][col_end]) col_end... | ''''
def spiral_matrix(matrix):
col_end = len(matrix[0])-1
row_end = len(matrix)-1
col_begin = 0
row_begin = 0
while (row_begin <= row_end and col_begin <= col_end):
for i in range(col_begin,col_end+1):
print(matrix[row_begin][i])
row_begin += 1
for i in... | Python | zaydzuhri_stack_edu_python |
from common import *
from baum_welch import baum_welch , convergent , gamma , delta , one_iter
class BaumWelchTest extends TestCase
begin
function setUp self
begin
comment two values don't sum to 1, this is because we want to accomondate to the rounding error in Moss's lecture
set pi = call hashdict list tuple string s... | from common import *
from baum_welch import baum_welch, convergent, gamma, delta, one_iter
class BaumWelchTest(unittest.TestCase):
def setUp(self):
self.pi = hashdict([("s", 0.85), ("t", 0.16)]) #two values don't sum to 1, this is because we want to accomondate to the rounding error in Moss's lecture
... | Python | zaydzuhri_stack_edu_python |
function check table
begin
set n = length table
set m = length table at 0
set bits = list comprehension list comprehension table at i at j == j + 1 for j in range m for i in range n
for row in bits
begin
if count row false > 2
begin
return false
end
end
return true
end function
set tuple n m = map int split input
set t... | def check(table):
n = len(table)
m = len(table[0])
bits = [[table[i][j] == j+1 for j in range(m)] for i in range(n)]
for row in bits:
if row.count(False) > 2:
return False
return True
n,m =map(int, input().split())
table = [list(map(int, input().split())) for i in range(n)]
for ... | Python | jtatman_500k |
function test_view_success_code self
begin
set response = get client call get_url pk
assert equal status_code 200
end function | def test_view_success_code(self):
response = self.client.get(self.get_url(self.htsv.pk))
self.assertEqual(response.status_code, 200) | Python | nomic_cornstack_python_v1 |
function history self
begin
pass
end function | def history(self) -> TimeSeries:
pass | Python | nomic_cornstack_python_v1 |
function MinimizeButton self visible=true
begin
return call SetFlag buttonMinimize visible
end function | def MinimizeButton(self, visible=True):
return self.SetFlag(self.buttonMinimize, visible) | Python | nomic_cornstack_python_v1 |
import copy
import sys
import numpy as np
import scipy.misc
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import pywt
import pltutils
import matplotlib as mpl
set params = dict string axes.labelsize 18 ; string axes.titlesize 20 ; string text.fontsize 22 ; string legend.fontsize 14 ; string xtick.labelsize... | import copy
import sys
import numpy as np
import scipy.misc
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import pywt
import pltutils
import matplotlib as mpl
params = {'axes.labelsize': 18,
'axes.titlesize': 20,
'text.fontsize': 22,
'legend.fontsize': 14,
'xtick... | Python | zaydzuhri_stack_edu_python |
function block_measure_info
begin
return measure_info at meas_desc_block_no
end function | def block_measure_info(self, block: int, /) -> numpy.recarray:
return self.measure_info[self.block_headers[block].meas_desc_block_no] | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment @File : BAYES.py
comment @Date : 2020-10-19
comment @Author : YUEYUE-x4
comment @Demo :
import numpy as np
import math
comment 创建句组成的列表
function create_dataset
begin
set posting_list = list list string my string dog string has string flea string problems string help string please l... | # -*- coding: utf-8 -*-
# @File : BAYES.py
# @Date : 2020-10-19
# @Author : YUEYUE-x4
# @Demo :
import numpy as np
import math
# 创建句组成的列表
def create_dataset():
posting_list = [['my','dog','has','flea','problems','help','please'],
['maybe','not','take','him','to','dog','park','stupi... | Python | zaydzuhri_stack_edu_python |
string Some simple skeleton code for a pygame game/animation This skeleton sets up a basic 800x600 window, an event loop, and a redraw timer to redraw at 30 frames per second.
from __future__ import division
import math
import random
import sys
import os
import pygame
comment Some useful functions used in more than one... | """Some simple skeleton code for a pygame game/animation
This skeleton sets up a basic 800x600 window, an event loop, and a
redraw timer to redraw at 30 frames per second.
"""
from __future__ import division
import math
import random
import sys
import os
import pygame
# Some useful functions used in more than one cl... | Python | zaydzuhri_stack_edu_python |
function load_training_set self features labels=none feature_id_col_name=none metadata_col_names=none
begin
set _training = call convert_data_to_format features labels feature_id_col_name metadata_col_names
end function | def load_training_set(self, features, labels=None, feature_id_col_name=None, metadata_col_names=None):
self._training = self._learner.convert_data_to_format(features, labels, feature_id_col_name, metadata_col_names) | Python | nomic_cornstack_python_v1 |
from flaskblog import db
class item extends Model
begin
set id = call Column Integer primary_key=true autoincrement=true
set name = call Column call String 30 nullable=false
set price = call Column Integer nullable=false
set cart = call Column Integer nullable=false default=1
set cart_price = call Column Integer nullab... | from flaskblog import db
class item(db.Model):
id = db.Column(db.Integer,primary_key = True,autoincrement=True)
name = db.Column(db.String(30),nullable = False)
price = db.Column(db.Integer, nullable = False)
cart = db.Column(db.Integer,nullable=False,default = 1)
cart_price = db.Column(db.Integer,... | Python | zaydzuhri_stack_edu_python |
function __sub__ self other
begin
set result = call Vector3D x - x y - y z - z
return result
end function | def __sub__(self, other):
result = Vector3D(self.x - other.x, \
self.y - other.y, \
self.z - other.z)
return result | Python | nomic_cornstack_python_v1 |
function compute_vals self vals modes instruction
begin
comment Use an intermediate string to obtain any missing leading zeros, since our opcode is
comment already an int
comment Reverse because parameter modes go from right to left
set modes = list comprehension integer mode for mode in reversed call zfill length vals... | def compute_vals(
self, vals: List[int], modes: int, instruction: MachineInstruction
) -> List[int]:
# Use an intermediate string to obtain any missing leading zeros, since our opcode is
# already an int
# Reverse because parameter modes go from right to left
modes = [int(mod... | Python | nomic_cornstack_python_v1 |
string @author: J.W.Spaak Numerically compute ND and FD for a model
import numpy as np
from scipy.optimize import brentq , fsolve
from warnings import warn
function NFD_model f n_spec=2 args=tuple monotone_f=true pars=none experimental=false from_R=false xtol=1e-05 estimate_N_star_mono=false
begin
string Compute the N... | """
@author: J.W.Spaak
Numerically compute ND and FD for a model
"""
import numpy as np
from scipy.optimize import brentq, fsolve
from warnings import warn
def NFD_model(f, n_spec = 2, args = (), monotone_f = True, pars = None,
experimental = False, from_R = False, xtol = 1e-5,
es... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string 题目： 给定一个不含有重复值的数组arr，找到每一个i位置左边和右边离i位置最近且值比arr[i]小的位置。返回所有位置相应的信息。 进阶问题：数组arr可以包含重复值 解答： 利用单调栈结构
import unittest
from utils.stack import Stack
comment arr不含重复值情况
function get_near_less_no_repeat arr
begin
comment 以二维数组作为结果，-1表示不存在
set res = list none * length arr
comment stack按照从栈顶到... | # -*- coding: utf-8 -*-
"""
题目：
给定一个不含有重复值的数组arr，找到每一个i位置左边和右边离i位置最近且值比arr[i]小的位置。返回所有位置相应的信息。
进阶问题：数组arr可以包含重复值
解答：
利用单调栈结构
"""
import unittest
from utils.stack import Stack
# arr不含重复值情况
def get_near_less_no_repeat(arr):
# 以二维数组作为结果，-1表示不存在
res = [None] * len(arr)
# stack按照从栈顶到栈底严格递减顺序存放arr数... | Python | zaydzuhri_stack_edu_python |
function teardown self
begin
for dd in dirs
begin
if is directory path dd
begin
remove tree dd
end
end
end function | def teardown(self):
for dd in self.dirs:
if os.path.isdir(dd):
shutil.rmtree(dd) | Python | nomic_cornstack_python_v1 |
function _set_topMargin self value
begin
string value will be an int or float. Subclasses may override this method.
set bounds = bounds
if bounds is none
begin
set height = value
end
else
begin
set tuple xMin yMin xMax yMax = bounds
set height = yMax + value
end
end function | def _set_topMargin(self, value):
"""
value will be an int or float.
Subclasses may override this method.
"""
bounds = self.bounds
if bounds is None:
self.height = value
else:
xMin, yMin, xMax, yMax = bounds
self.height = yMax +... | Python | jtatman_500k |
comment !/usr/bin/python3
comment carro = input('digite qual o caminho a ser seguido: ')
comment a = 'engarrafado'
comment b = 'livre'
comment se a == 'engarrafado':
comment print('melhor ir pela b')
comment else:
comment print('indo pelo caminho a') exemplo fraco
comment Estrutura confdicional simples
comment nome = i... | #!/usr/bin/python3
#carro = input('digite qual o caminho a ser seguido: ')
#a = 'engarrafado'
#b = 'livre'
# se a == 'engarrafado':
# print('melhor ir pela b')
# else:
# print('indo pelo caminho a') exemplo fraco
##
## Estrutura confdicional simples
##
# nome = input('digite seu nome: ')
# sobrenome = inpu... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
string Author:zhouhuan Email:18832832911@139.com data:2020/12/12/012 20:09 desc:
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from datetime import datetime
set subFolder = string format time now string %Y%m%d-%H%M%S
set logdir = string ./tfb_logs/ { subFolder }... | # coding=utf-8
'''
Author:zhouhuan
Email:18832832911@139.com
data:2020/12/12/012 20:09
desc:
'''
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from datetime import datetime
subFolder = datetime.now().strftime("%Y%m%d-%H%M%S")
logdir = f"./tfb_logs/{subFolder}"
tf.logging.set_ve... | Python | zaydzuhri_stack_edu_python |
function edit_config_input_target_config_target_candidate_candidate self **kwargs
begin
string Auto Generated Code
set config = call Element string config
set edit_config = call Element string edit_config
set config = edit_config
set input = call SubElement edit_config string input
set target = call SubElement input st... | def edit_config_input_target_config_target_candidate_candidate(self, **kwargs):
"""Auto Generated Code
"""
config = ET.Element("config")
edit_config = ET.Element("edit_config")
config = edit_config
input = ET.SubElement(edit_config, "input")
target = ET.SubElement... | Python | jtatman_500k |
import socket
import gevent
import gevent.threadpool
print string port?
set port = integer input
set s = call socket
call connect tuple string localhost port
set f = call makefile string rw
function read_message
begin
while true
begin
print read line f
end
end function
function write_message
begin
while true
begin
prin... | import socket
import gevent
import gevent.threadpool
print('port? ')
port = int(input())
s = socket.socket()
s.connect(('localhost', port))
f = s.makefile('rw')
def read_message():
while True:
print(f.readline())
def write_message():
while True:
print(input(), file=f, flush=True)
pool = gev... | Python | zaydzuhri_stack_edu_python |
function log_evaluation_xgb logger period=1 show_stdv=true
begin
function _fmt_metric value show_stdv=true
begin
string format metric string
if length value == 2
begin
return string %s:%g % tuple value at 0 value at 1
end
else
if length value == 3
begin
if show_stdv
begin
return string %s:%g+%g % tuple value at 0 value... | def log_evaluation_xgb(logger, period=1, show_stdv=True):
def _fmt_metric(value, show_stdv=True):
"""format metric string"""
if len(value) == 2:
return '%s:%g' % (value[0], value[1])
elif len(value) == 3:
if show_stdv:
return '%s:%g+%g' % (value[0], v... | Python | nomic_cornstack_python_v1 |
class Solution
begin
function heightChecker self heights
begin
set count = 0
set sort = sorted heights
for tuple index val in enumerate sort
begin
if sort at index != heights at index
begin
set count = count + 1
end
end
return count
end function
end class | class Solution:
def heightChecker(self, heights: List[int]) -> int:
count = 0
sort = sorted(heights)
for index,val in enumerate(sort):
if sort[index]!=heights[index]:
count+=1
return count
| Python | zaydzuhri_stack_edu_python |
comment linear algebra
import numpy as np
import googlemaps
comment data processing, CSV file I/O (e.g. pd.read_csv)
import pandas as pd
import json
import ast
import matplotlib.pyplot as plt
import seaborn as sns
from math import sin , cos , sqrt , atan2 , asin , radians
set MajorCities = dict string PARIS tuple 48.85... | import numpy as np # linear algebra
import googlemaps
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import json
import ast
import matplotlib.pyplot as plt
import seaborn as sns
from math import sin, cos, sqrt, atan2, asin, radians
MajorCities = {"PARIS" : (48.8566, 2.3522), "LYON": (45.7640, 4... | Python | zaydzuhri_stack_edu_python |
comment Python - Find longest (most words) key in dictionary
max generator expression length split k for k in keys d | # Python - Find longest (most words) key in dictionary
max(len(k.split()) for k in d.keys())
| Python | zaydzuhri_stack_edu_python |
function eso_select_raid_runs_query self
begin
set sess = call _session
set data = query sess EsoRaidRunsTable
return data
end function | def eso_select_raid_runs_query(self) -> List[List]:
sess = self._session()
data = sess.query(EsoRaidRunsTable)
return data | Python | nomic_cornstack_python_v1 |
import multiprocessing as mp
import threading as td
import time
function job q
begin
comment print("aaaa")
set res = 0
for i in range 5000000
begin
set res = res + i + i ^ 2 + i ^ 3
end
put res
end function
comment t1 = td.Thread(target =job,args=(1,2) )
function multicore
begin
set q = queue
set p1 = process target=jo... | import multiprocessing as mp
import threading as td
import time
def job(q):
# print("aaaa")
res = 0
for i in range(5000000):
res+=i+i**2+i**3
q.put(res)
# t1 = td.Thread(target =job,args=(1,2) )
def multicore():
q=mp.Queue()
p1 = mp.Process(target=job,args = (q,))
p2 = mp.Process(t... | Python | zaydzuhri_stack_edu_python |
import numpy as np
function read_mat_file vector_file
begin
with open vector_file string r as f
begin
set embed = list
for tuple i line in enumerate f
begin
set elems = split right strip line string string
append embed elems
end
end
return as type array embed float
end function
comment def file_write(mat,file_name):
c... | import numpy as np
def read_mat_file(vector_file):
with open(vector_file,'r') as f:
embed = []
for i,line in enumerate(f):
elems = line.rstrip('\n').split(' ')
embed.append(elems)
return np.array(embed).astype(float)
# def file_write(mat,file_name):
# txt_file ... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
import cv2
import glob
comment TODO: fit image width to size of browser
class ImageEditor
begin
function __init__ self input_img
begin
comment files
set image_name = split input_img string . at 0
set image_ext = split input_img string . at 1
set saved_name = none
comment images
se... | import pandas as pd
import numpy as np
import cv2
import glob
# TODO: fit image width to size of browser
class ImageEditor():
def __init__(self, input_img):
# files
self.image_name = input_img.split('.')[0]
self.image_ext = input_img.split('.')[1]
self.saved_name = None
... | Python | zaydzuhri_stack_edu_python |
function _clean_sys_argv pipeline
begin
set reserved_opts = set literal pipeline string label string id string stage string station string writers
return list comprehension o for o in argv at slice 1 : : if starts with o string -- and split o at slice 2 : : string = at 0 not in reserved_opts
end function | def _clean_sys_argv(pipeline: str) -> List[str]:
reserved_opts = {pipeline, "label", "id", "stage", "station", "writers"}
return [o for o in sys.argv[1:] if o.startswith("--") and o[2:].split("=")[0] not in reserved_opts] | Python | nomic_cornstack_python_v1 |
function getNoOfPronouns self
begin
return length list comprehension token for token in call getTokenPOSTags if token at 1 == string PRP or token at 1 == string PRP$
end function | def getNoOfPronouns(self):
return len([token for token in self.getTokenPOSTags() if token[1] == "PRP" or token[1] == "PRP$"]) | Python | nomic_cornstack_python_v1 |
import sys
import os
with open directory name path __file__ + string /input.txt as f
begin
print string Find 2 numbers (a, b) that sum 2020, get its product, a * b
set seen = dict
set target = 2020
for line in read lines f
begin
set n = integer line
if target - n in seen
begin
print format string {0} * {1} = {2} n tar... | import sys
import os
with open(os.path.dirname(__file__) + '/input.txt') as f:
print("Find 2 numbers (a, b) that sum 2020, get its product, a * b")
seen = {}
target = 2020
for line in f.readlines():
n = int(line)
if target - n in seen:
print('{0} * {1} = {2}'.format(n, targe... | Python | zaydzuhri_stack_edu_python |
function showtext2 self
begin
call textSize 20
call text string You already own this item 50 50
call text string Type q to leave 1450 890
end function | def showtext2(self):
textSize(20)
text('You already own this item', 50, 50)
text('Type q to leave', 1450, 890) | Python | nomic_cornstack_python_v1 |
function debug target=none
begin
call verbose true
set man = manager
set mode_dbg = true
call init_components target
call start_app
end function | def debug(target=None):
logger.verbose(True)
man = Manager()
man.mode_dbg = True
man.init_components(target)
man.start_app() | Python | nomic_cornstack_python_v1 |
function deserialize_numpy self str numpy
begin
try
begin
if header is none
begin
set header = call Header
end
set end = 0
set _x = self
set start = end
set end = end + 12
set tuple seq secs nsecs = call unpack str at slice start : end :
set start = end
set end = end + 4
set tuple length = call unpack str at slice star... | def deserialize_numpy(self, str, numpy):
try:
if self.header is None:
self.header = std_msgs.msg.Header()
end = 0
_x = self
start = end
end += 12
(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])
start = end
... | Python | nomic_cornstack_python_v1 |
function cancel_timer self
begin
comment type: () -> None
if timer is none
begin
warning string [%x] Timer is not active call id self
return
end
call cancel
debug string [%x] Timer thread cancelled call id self
set timer = none
end function | def cancel_timer(self):
# type: () -> None
if self.timer is None:
LOGGER.warning('[%x] Timer is not active', id(self))
return
self.timer.cancel()
LOGGER.debug('[%x] Timer thread cancelled', id(self))
self.timer = None | Python | nomic_cornstack_python_v1 |
string Script to extract stellar yields from a given NuGrid data set to translate them into an Enzo-readable table. This relies on Christian Ritter's read_yields.py Author: Andrew Emerick Date : 04/2016
from chemistry.NuGrid import read_yields as ry
import numpy as np
set master_element_list = list string H string He s... | """
Script to extract stellar yields from a given
NuGrid data set to translate them into an Enzo-readable
table. This relies on Christian Ritter's read_yields.py
Author: Andrew Emerick
Date : 04/2016
"""
from chemistry.NuGrid import read_yields as ry
import numpy as np
#
master_element_list = ['... | Python | zaydzuhri_stack_edu_python |
function _prodterm lexer
begin
set factor = call _factor lexer
set prodterm_prime = call _prodterm_prime lexer
if prodterm_prime is none
begin
return factor
end
else
begin
return tuple string and factor prodterm_prime
end
end function | def _prodterm(lexer):
factor = _factor(lexer)
prodterm_prime = _prodterm_prime(lexer)
if prodterm_prime is None:
return factor
else:
return ("and", factor, prodterm_prime) | Python | nomic_cornstack_python_v1 |
function show_dialog_open self
begin
set source_filepath = call getOpenFileName self string Open source file string ./ at 0
if not source_filepath
begin
return false
end
set item = item listBandwidths 0
call setSelected true
call setCurrentItem item
call prepare_data
return true
end function | def show_dialog_open(self: dict) -> bool:
self.config.source_filepath = self.file_dialog_open.getOpenFileName(
self,
'Open source file',
'./')[0]
if not self.config.source_filepath:
return False
item = self.listBandwidths.item(0)
item.setSe... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
string @author: Allen(Zifeng) An @course: @contact: anz8@mcmaster.ca @file: 21. binarysearch.py @time: 2020/2/5 12:35
comment Definition for singly-linked list.
class ListNode
begin
function __init__ self x next=none
begin
set val = x
set next = next
end functi... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@author: Allen(Zifeng) An
@course:
@contact: anz8@mcmaster.ca
@file: 21. binarysearch.py
@time: 2020/2/5 12:35
'''
# Definition for singly-linked list.
class ListNode:
def __init__(self, x,next=None):
self.val = x
self.next = next
e=ListNode(5)
d=... | Python | zaydzuhri_stack_edu_python |
function test_llhd self test_idxs
begin
set test_idxs_ = copy np test_idxs
set users = unique test_idxs_ at tuple slice : : 0
set train_idxs = copy np edge_idx_d at tuple call in1d edge_idx_d at tuple slice : : 0 users slice : :
for tuple en user in enumerate users
begin
set test_idxs_ at tuple test_idxs_ at tu... | def test_llhd(self, test_idxs):
test_idxs_ = np.copy(test_idxs)
users = np.unique(test_idxs_[:, 0])
train_idxs = np.copy(self.edge_idx_d[np.in1d(self.edge_idx_d[:, 0], users),:])
for en, user in enumerate(users):
test_idxs_[test_idxs_[:, 0] == user, 0] = en
tra... | Python | nomic_cornstack_python_v1 |
import math
import numpy as np
import factormatrix as qs
import time
import sys
comment This code factors n from start to finish.
function solve n
begin
comment breakpoint()
set tuple fact_mat factors row_labels row_labels_unsquared = call quad_sieve n
set factors = array factors dtype=string int64
print string Finding... | import math
import numpy as np
import factormatrix as qs
import time
import sys
#This code factors n from start to finish.
def solve(n):
#breakpoint()
fact_mat,factors,row_labels,row_labels_unsquared=qs.quad_sieve(n)
factors=np.array(factors,dtype="int64")
print("Finding linear dependencies...")
... | Python | zaydzuhri_stack_edu_python |
comment The following iterative sequence is defined for the set of positive integers:
comment n -> n/2 (n is even)
comment n -> 3n + 1 (n is odd)
comment Using the rule above and starting with 13, we generate the following sequence:
comment 13 -> 40 -> 20 -> 10 -> 5 -> 16 -> 8 -> 4 -> 2 -> 1
comment It can be seen that... | # The following iterative sequence is defined for the set of positive integers:
#
# n -> n/2 (n is even)
# n -> 3n + 1 (n is odd)
#
# Using the rule above and starting with 13, we generate the following sequence:
#
# 13 -> 40 -> 20 -> 10 -> 5 -> 16 -> 8 -> 4 -> 2 -> 1
# It can be seen that this sequence (starting at 13... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
from causalnex.plots import plot_structure , NODE_STYLE , EDGE_STYLE
from causalnex.structure.notears import from_pandas , from_pandas_lasso
from causalnex.structure import StructureModel
from IPython.display import Image
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib... | import pandas as pd
from causalnex.plots import plot_structure, NODE_STYLE, EDGE_STYLE
from causalnex.structure.notears import from_pandas, from_pandas_lasso
from causalnex.structure import StructureModel
from IPython.display import Image
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.py... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function isAlienSorted self words order
begin
set d = dict
for tuple i c in enumerate order
begin
set d at c = i
end
for i in call xrange length words - 1
begin
set word1 = words at i
set word2 = words at i + 1
set check = false
for j in call xrange min length word1 length word2
beg... | class Solution(object):
def isAlienSorted(self, words, order):
d = {}
for i, c in enumerate(order):
d[c] = i
for i in xrange(len(words)-1):
word1 = words[i]
word2 = words[i+1]
check = False
for j in xrange(min(... | Python | zaydzuhri_stack_edu_python |
function update self commit=true **kwargs
begin
string Update model attributes and save to database
for tuple attr value in call iteritems
begin
set attribute self attr value
end
return commit and save or self
end function | def update(self, commit=True, **kwargs):
""" Update model attributes and save to database """
for (attr, value) in kwargs.iteritems():
setattr(self, attr, value)
return commit and self.save() or self | Python | jtatman_500k |
function __init__ self app_dir ui
begin
set vendor_dir = join path app_dir string vendor
if not is directory path vendor_dir
begin
make directories vendor_dir
end
set vendor_dir = vendor_dir
set ui = ui
set _vendor_handlers = none
end function | def __init__(self, app_dir, ui):
vendor_dir = os.path.join(app_dir, "vendor")
if not os.path.isdir(vendor_dir):
os.makedirs(vendor_dir)
self.vendor_dir = vendor_dir
self.ui = ui
self._vendor_handlers = None | Python | nomic_cornstack_python_v1 |
string You are given an integer, N. Write a program to determine if N is an element of the Fibonacci sequence. Rather than compute all fibonacci numbers below N, we will use the fact: A number, n, is a Fibonacci number if and only if (5n^2 + 4) or (5n^2 - 4) is a perfect square.
import math
function is_fibonacci n
begi... | """
You are given an integer, N. Write a program to determine if N is an element of the Fibonacci sequence.
Rather than compute all fibonacci numbers below N, we will use the fact:
A number, n, is a Fibonacci number if and only if (5n^2 + 4) or (5n^2 - 4) is a perfect square.
"""
import math
def is_fibonacci(n):
... | Python | zaydzuhri_stack_edu_python |
function max_pairwise_product_fast numbers
begin
sort numbers
return numbers at - 1 * numbers at - 2
end function
if __name__ == string __main__
begin
set input_n = integer input
set input_numbers = list comprehension integer x for x in split input
print call max_pairwise_product_fast input_numbers
end | def max_pairwise_product_fast(numbers):
numbers.sort()
return numbers[-1] * numbers[-2]
if __name__ == '__main__':
input_n = int(input())
input_numbers = [int(x) for x in input().split()]
print(max_pairwise_product_fast(input_numbers))
| Python | zaydzuhri_stack_edu_python |
import torch
import tensorflow as tf
import numpy as np
from torch.autograd import Variable
import matplotlib.pyplot as plt
import seaborn as sns
set POLY_DEGREE = 10
set THETA = zeros POLY_DEGREE + 1 1
set DATASIZE = 200
set TEST_SIZE = 1000
set SIGMA = 1
function getData data_size sigma
begin
set x = type FloatTensor... | import torch
import tensorflow as tf
import numpy as np
from torch.autograd import Variable
import matplotlib.pyplot as plt
import seaborn as sns
POLY_DEGREE = 10
THETA = torch.zeros(POLY_DEGREE+1,1)
DATASIZE = 200
TEST_SIZE = 1000
SIGMA = 1
def getData(data_size,sigma):
x = torch.empty(data_size, ).uniform_(0, 1... | Python | zaydzuhri_stack_edu_python |
comment Importamos numpy y matplotlib
import numpy as np
import matplotlib.pyplot as plt
comment Importamos time, es un módulo que ya viene con Python, así que no hay que instalarlo
import time
comment Esta función aplica el esquema que vimos en clase:
comment t0: es el tiempo inicial
comment tf: es el tiempo final
com... | # Importamos numpy y matplotlib
import numpy as np
import matplotlib.pyplot as plt
# Importamos time, es un módulo que ya viene con Python, así que no hay que instalarlo
import time
# Esta función aplica el esquema que vimos en clase:
# t0: es el tiempo inicial
# tf: es el tiempo final
# x0: inicio del intervalo de pos... | Python | zaydzuhri_stack_edu_python |
set str = string This is a sample string
set new_str = replace str string string * | str = 'This is a sample string'
new_str = str.replace(' ', '*')
| Python | jtatman_500k |
import argparse
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import keras
from keras import layers
from keras.models import Sequential
from keras import backend as K
set parser = call ArgumentParser formatter_class=ArgumentDefaultsHelpFormatter
call add_argument string --input_size... | import argparse
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import keras
from keras import layers
from keras.models import Sequential
from keras import backend as K
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--in... | Python | zaydzuhri_stack_edu_python |
function test_bad_file
begin
set bad = join string random choices ascii_uppercase + digits k=5
set tuple rv out = call getstatusoutput string { prg } -f { bad }
assert rv != 0
assert match string usage: out I
assert search string No such file or directory: ' { bad } ' out
end function | def test_bad_file():
bad = ''.join(random.choices(string.ascii_uppercase + string.digits, k=5))
rv, out = getstatusoutput(f'{prg} -f {bad}')
assert rv != 0
assert re.match('usage:', out, re.I)
assert re.search(f"No such file or directory: '{bad}'", out) | Python | nomic_cornstack_python_v1 |
function attributeClass self attribute
begin
pass
end function | def attributeClass(self, attribute):
pass | Python | nomic_cornstack_python_v1 |
function get_surface_correction self surface_option a
begin
if surface_option is none
begin
return zeros length modes dtype=ftype
end
if surface_option == string Kjeldsen2008
begin
return a at 0 * modes at string freq ^ b_Kjeldsen2008
end
if surface_option == string Kjeldsen2008_scaling
begin
return a at 0 * modes at s... | def get_surface_correction(self, surface_option, a):
if (surface_option is None): return np.zeros(len(self.modes), dtype=ftype)
if (surface_option == "Kjeldsen2008"): return a[0]*self.modes['freq']**config.b_Kjeldsen2008
if (surface_option == "Kjeldsen2008_scaling"): r... | Python | nomic_cornstack_python_v1 |
string >= 70 - A >= 60 - B >= 40 - C < 40 - F < 0 or > 100 - I
set marks = decimal input string Enter marks :
if marks < 0 or marks > 100
begin
print string I
end
else
if marks >= 70
begin
print string A
end
else
if marks >= 60
begin
print string B
end
else
if marks >= 40
begin
print string C
end
else
begin
print strin... | '''
>= 70 - A
>= 60 - B
>= 40 - C
< 40 - F
< 0 or > 100 - I
'''
marks = float(input('Enter marks : '))
if marks < 0 or marks > 100:
print('I')
elif marks >= 70:
print('A')
elif marks >= 60:
print('B')
elif marks >= 40:
print('C')
else:
print('F') | Python | zaydzuhri_stack_edu_python |
from math import sqrt
function fract S
begin
set terms = list
set a0 = integer square root S
set m = 0
set d = 1
set a = a0
while a != 2 * a0
begin
set m = d * a - m
set d = S - m * m / d
set a = integer square root S + m / d
append terms a
end
return terms
end function
function check x y
begin
if x * x - D * y * y == ... | from math import sqrt
def fract(S):
terms = list()
a0 = int(sqrt(S))
m = 0
d = 1
a = a0
while a != 2 * a0:
m = d * a - m
d = (S - m * m) / d
a = int((sqrt(S) + m) / d)
terms.append(a)
return terms
def check(x, y):
if x * x - D * y * y == 1: return True
else: return F... | Python | zaydzuhri_stack_edu_python |
function matchesProperties self *args
begin
return call FbcV2ToV1Converter_matchesProperties self *args
end function | def matchesProperties(self, *args):
return _libsbml.FbcV2ToV1Converter_matchesProperties(self, *args) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment !/usr/bin/env python3
import numpy as np
from sklearn import preprocessing
import keras
from keras.utils import to_categorical , normalize
comment Normaliser les données et encoder les labels pour qu'ils prennent la forment
comment d'une distribution de probabilité sur les classes ... | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
import numpy as np
from sklearn import preprocessing
import keras
from keras.utils import to_categorical, normalize
#Normaliser les données et encoder les labels pour qu'ils prennent la forment
#d'une distribution de probabilité sur les classes (one hot encoding).
def f... | Python | zaydzuhri_stack_edu_python |
comment file sc.py
comment check & delete special characters
set emailTo = list string dwbarne@s/\?>.gov string dd*$(@ear//link`.net
set charList1 = list string ; string # string , string ! string $ string ^ string & string * string ( string ) string + string = string {
set charList2 = list string } string [ string ] s... | # file sc.py
#
# check & delete special characters
emailTo=['dwbarne@s/\?>.gov','dd*$(@ear//link`.net']
charList1=[';', '#', ',', '!', '$', '^', '&', '*', '(', ')', '+', '=', '{']
charList2=['}', '[', ']', '|', '\\', '/', ":", "?", '>', "<", "`", " "]
charList=charList1 + charList2
specialCharactersInEmailAddresses... | Python | zaydzuhri_stack_edu_python |
function __init__ self config logger name network allowed=none sources=none tags=none security_group=false additional_settings=none
begin
call __init__ config logger id additional_settings=additional_settings
if call should_use_external_resource ctx
begin
set name = call assure_resource_id_correct
end
else
if name
begi... | def __init__(self,
config,
logger,
name,
network,
allowed=None,
sources=None,
tags=None,
security_group=False,
additional_settings=None,
):
su... | Python | nomic_cornstack_python_v1 |
function calc_transfer_functions self
begin
try
begin
set tf = tf
set status = call process_transfer_functions
if status is true
begin
call plot_transfer_functions
call view_mod_transfer_functions
set msg = string Frequency-dependent transfer functions calculated successfully.
call _message_information string Calculate... | def calc_transfer_functions(self):
try:
self.transFuncsModule.tf = self.tf
status = self.transFuncsModule.tf.process_transfer_functions()
if status is True:
self.transFuncsModule.plot_transfer_functions()
self.view_mod_transfer_functions()
... | Python | nomic_cornstack_python_v1 |
function _create_db self
begin
set _getlatest = dict
for entry in _data
begin
set code = entry at _clmn at string Code
set lastupdate = entry at _clmn at string LastUpdated
set desc = entry at _clmn at string Description
set recordnum = entry at _clmn at string RecordNo
if code in keys _getlatest
begin
if lastupdate >... | def _create_db(self):
self._getlatest = {}
for entry in self._data:
code = entry[self._clmn['Code']]
lastupdate = entry[self._clmn['LastUpdated']]
desc = entry[self._clmn['Description']]
recordnum = entry[self._clmn['RecordNo']]
if code in sel... | Python | nomic_cornstack_python_v1 |
comment pylint: disable=arguments-differ
function form_factor self q s t couplings
begin
set q2 = q ^ 2 * 1e-06
set ss = s * 1e-06
set tt = t * 1e-06
set uu = q2 + MPI0_GEV ^ 2 + 2 * MPI_GEV ^ 2 - ss - tt
set ff = call __form_factor q2=q2 s=ss t=tt u=uu couplings=couplings
return ff * 1e-09
end function | def form_factor( # pylint: disable=arguments-differ
self, q: float, s: RealOrRealArray, t: RealOrRealArray, couplings: Couplings
) -> ComplexOrComplexArray:
q2 = q**2 * 1e-6
ss = s * 1e-6
tt = t * 1e-6
uu = q2 + MPI0_GEV**2 + 2 * MPI_GEV**2 - ss - tt
ff = self.__for... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment from __future__ import print_function
from googleapiclient.discovery import build
from yandex_translate import YandexTranslate
import sys
call reload sys
call setdefaultencoding string utf8
class translator extends object
begin
function __init__ self ke... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#from __future__ import print_function
from googleapiclient.discovery import build
from yandex_translate import YandexTranslate
import sys
reload(sys)
sys.setdefaultencoding('utf8')
class translator(object):
def __init__(self, key, service_api):
#creating o... | Python | zaydzuhri_stack_edu_python |
function _get_metrics self clean_audio noise_audio dist_samples
begin
set cos_dis = call cosine clean_audio dist_samples
set feature = dict string cos call _float_feature list cos_dis ; string num_samples call _float_feature list decimal shape at 0
return call Example features=call Features feature=feature
end function | def _get_metrics(self, clean_audio, noise_audio, dist_samples):
cos_dis = scipy.spatial.distance.cosine(clean_audio, dist_samples)
feature = {
'cos': _float_feature([cos_dis]),
'num_samples': _float_feature([float(dist_samples.shape[0])])
}
return tf.Example(features=tf.train.Features(fe... | Python | nomic_cornstack_python_v1 |
function updateGUIFromParameterNode self caller=none event=none
begin
if _parameterNode is none or _updatingGUIFromParameterNode
begin
return
end
comment Make sure GUI changes do not call updateParameterNodeFromGUI (it could cause infinite loop)
set _updatingGUIFromParameterNode = true
comment Update node selectors and... | def updateGUIFromParameterNode(self, caller=None, event=None):
if self._parameterNode is None or self._updatingGUIFromParameterNode:
return
# Make sure GUI changes do not call updateParameterNodeFromGUI (it could cause infinite loop)
self._updatingGUIFromParameterNode = True
... | Python | nomic_cornstack_python_v1 |
comment https://www.acmicpc.net/problem/16165
set tuple N M = map int split input
set tuple team_mem mem_team = tuple dict dict
for i in range N
begin
set tuple team_name mem_num = tuple input integer input
set team_mem at team_name = list
for j in range mem_num
begin
set name = input
append team_mem at team_name na... | #https://www.acmicpc.net/problem/16165
N, M = map(int, input().split())
team_mem, mem_team = {}, {}
for i in range(N):
team_name, mem_num = input(), int(input())
team_mem[team_name]=[]
for j in range(mem_num):
name = input()
team_mem[team_name].append(name)
mem_team[name] = team_n... | Python | zaydzuhri_stack_edu_python |
function extract_ngrams dataset n remove_stopwords=true remove_punc=true mode=string spacy
begin
info string extracting ngrams ...
for i in call tnrange length dataset desc=string NGRAMS
begin
set text_datum = raw_text
set tuple ngrams tokens = call extract_ngram_from_text text_datum n remove_stopwords remove_punc mode... | def extract_ngrams(dataset,
n,
remove_stopwords=True,
remove_punc=True,
mode='spacy'):
logger.info("extracting ngrams ...")
for i in tnrange(len(dataset), desc='NGRAMS'):
text_datum = dataset[i].raw_text
ngrams, tokens =... | Python | nomic_cornstack_python_v1 |
from __future__ import division
from fractions import Fraction
import operator
function simplify x y
begin
string Use incorrect cancelling to remove any matching digits on the top or bottom of the fraction. If the cancelling fails, return None
set dig1 = x // 10
set dig2 = x % 10
set dig3 = y // 10
set dig4 = y % 10
co... | from __future__ import division
from fractions import Fraction
import operator
def simplify(x, y):
"""
Use incorrect cancelling to remove any matching digits on the top
or bottom of the fraction.
If the cancelling fails, return None
"""
dig1 = x // 10
dig2 = x % 10
dig3 = y // 10
d... | Python | zaydzuhri_stack_edu_python |
import platform
from subprocess import call
set operSys = call system
function clear_scr
begin
if operSys == string Windows
begin
call string cls shell=true
end
if operSys == string Linux
begin
call string clear shell=true
end
end function | import platform
from subprocess import call
operSys = platform.system()
def clear_scr():
if operSys == "Windows":
call('cls', shell=True)
if operSys == "Linux":
call('clear', shell=True)
| Python | zaydzuhri_stack_edu_python |
function AppendCmdline cmdline value prefix=string
begin
if value
begin
set cmdline = cmdline + prefix + string value
end
return cmdline
end function | def AppendCmdline(cmdline, value, prefix=' '):
if value:
cmdline += prefix + str(value)
return cmdline | Python | nomic_cornstack_python_v1 |
import glob
import os
import string
import csv
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.preprocessing import Normalizer
from sklearn.pipeline import Pipeli... | import glob
import os
import string
import csv
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.preprocessing import Normalizer
from sklearn.pipeline import Pipel... | Python | zaydzuhri_stack_edu_python |
import itertools
set arr = list
for _ in range integer input string Enter number of elements:
begin
append arr integer input string Enter { _ } th element:
end
set all_triplets = list call combinations arr 3
set results = list
for triplet in all_triplets
begin
if sum triplet == 0
begin
append results triplet
end
end
... | import itertools
arr = []
for _ in range(int(input('Enter number of elements: '))):
arr.append(int(input(f'Enter {_}th element: ')))
all_triplets = list(itertools.combinations(arr, 3))
results = []
for triplet in all_triplets:
if sum(triplet) == 0:
results.append(triplet)
for triplet in results:
... | Python | zaydzuhri_stack_edu_python |
function test_get_available_meals test_client
begin
set response = get test_client string /api/v2/menu
assert status_code == 404
end function | def test_get_available_meals(test_client):
response = test_client.get("/api/v2/menu")
assert response.status_code == 404 | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string @author: pheno Data Generator for RatSI dataset RatSI: Rat Social Interaction Dataset by Noldus https://www.noldus.com/projects/phenorat/datasets/ratsi Input image: folder with image frames generated from original videos folder_path/ Sample000XXX.jpg Sampel000XXX.jpg ...... label: o... | # -*- coding: utf-8 -*-
"""
@author: pheno
Data Generator for RatSI dataset
RatSI: Rat Social Interaction Dataset by Noldus
https://www.noldus.com/projects/phenorat/datasets/ratsi
Input
image: folder with image frames generated from original videos
folder_path/
Sample000XXX.jpg
... | Python | zaydzuhri_stack_edu_python |
function __getitem__ self idx
begin
set img_loc = join path main_dir images at idx
set image = call convert string RGB
set tensor_image = transform self image
return tensor_image
end function | def __getitem__(self, idx):
img_loc = os.path.join(self.main_dir, self.images[idx])
image = Image.open(img_loc).convert("RGB")
tensor_image = self.transform(image)
return tensor_image | Python | nomic_cornstack_python_v1 |
import numpy as np
from one_player_map import Map
import pandas as pd
import pickle
class OneGame
begin
function __init__ self verbose greedy players state_values
begin
set players = players
set turn_counter = 1
set verbose = verbose
set greedy = greedy
set state_values = state_values
set station_finishers = dict strin... | import numpy as np
from one_player_map import Map
import pandas as pd
import pickle
class OneGame:
def __init__(self, verbose, greedy, players, state_values):
self.players = players
self.turn_counter = 1
self.verbose = verbose
self.greedy = greedy
self.state_values = state_... | Python | zaydzuhri_stack_edu_python |
comment This functions come from Reddit
comment https://github.com/reddit/reddit/blob/master/r2/r2/lib/db/_sorts.pyx
comment Additional resources
comment http://www.redditblog.com/2009/10/reddits-new-comment-sorting-system.html
comment http://www.evanmiller.org/how-not-to-sort-by-average-rating.html
comment http://amix... | # This functions come from Reddit
# https://github.com/reddit/reddit/blob/master/r2/r2/lib/db/_sorts.pyx
# Additional resources
# http://www.redditblog.com/2009/10/reddits-new-comment-sorting-system.html
# http://www.evanmiller.org/how-not-to-sort-by-average-rating.html
# http://amix.dk/blog/post/19588
from datetime ... | Python | zaydzuhri_stack_edu_python |
set names = list string Tim string Sue string Tim string Betty
print names | names =['Tim', 'Sue', 'Tim', 'Betty']
print(names)
| Python | zaydzuhri_stack_edu_python |
function idle self
begin
if call get_state is Stopped or call is_zombie
begin
call set_state Idle
end
else
begin
raise call IdleActionException
end
end function | def idle(self):
if self.get_state() is BaseStates.Stopped or self.is_zombie():
self.set_state(BaseStates.Idle)
else:
raise IdleActionException() | Python | nomic_cornstack_python_v1 |
import phonenumbers
from authy.api import AuthyApiClient
from flask import current_app as app
from flask import flash , g , request , session
function parse_phone_number full_phone
begin
string Parses the phone number from E.164 format :param full_phone: phone number in E.164 format :returns: tuple (country_code, phone... | import phonenumbers
from authy.api import AuthyApiClient
from flask import current_app as app
from flask import flash, g, request, session
def parse_phone_number(full_phone):
"""
Parses the phone number from E.164 format
:param full_phone: phone number in E.164 format
:returns: tuple (country_code, p... | Python | zaydzuhri_stack_edu_python |
function anomaly_settings_version self
begin
return get pulumi self string anomaly_settings_version
end function | def anomaly_settings_version(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "anomaly_settings_version") | Python | nomic_cornstack_python_v1 |
if a % 2 == 0
begin
print a % 2 string Четное число
end
else
begin
print a % 2 string Нечетное число
end | if a % 2 == 0:
print(a % 2 ,'Четное число')
else:
print(a % 2 ,'Нечетное число') | Python | zaydzuhri_stack_edu_python |
function createKeyLabels self
begin
set charLeft = list
set charRight = list
set numLeft = list
set numRight = list
for i in range 13
begin
append charLeft call Label inputKey text=character i + 97 + string : padx=5 pady=5
grid row=i column=0
end
for i in range 13
begin
append charRight call Label inputKey text=cha... | def createKeyLabels(self):
charLeft = []
charRight = []
numLeft = []
numRight = []
for i in range(13):
charLeft.append(Label(self.inputKey, text=chr(i + 97) + ":", padx=5, pady=5))
charLeft[i].grid(row=i, column=0)
for i in range(13):
... | Python | nomic_cornstack_python_v1 |
function bakeOffsets self
begin
comment get movers
set jointMovers = returnJointMovers
comment separate mover lists
set globalMovers = jointMovers at 0
set offsetMovers = jointMovers at 1
set constraints = list
set locators = list
comment create locators for the offsetMovers, then zero out offset mover
for mover in o... | def bakeOffsets(self):
# get movers
jointMovers = self.returnJointMovers
# separate mover lists
globalMovers = jointMovers[0]
offsetMovers = jointMovers[1]
constraints = []
locators = []
# create locators for the offsetMovers, then zero out offset mover... | Python | nomic_cornstack_python_v1 |
function doctor ctx client
begin
string Check your system and repository for potential problems.
call secho join string call wrap DOCTOR_INFO + string bold=true
from import _checks
set is_ok = true
for attr in __all__
begin
set is_ok = is_ok ? call get attribute _checks attr client
end
if is_ok
begin
call secho stri... | def doctor(ctx, client):
"""Check your system and repository for potential problems."""
click.secho('\n'.join(textwrap.wrap(DOCTOR_INFO)) + '\n', bold=True)
from . import _checks
is_ok = True
for attr in _checks.__all__:
is_ok &= getattr(_checks, attr)(client)
if is_ok:
click.... | Python | jtatman_500k |
comment -*- coding: utf-8 -*-
import os
import sqlite3
function create_db db_name
begin
set conn = call connect db_name
set c = call cursor
set query = string CREATE TABLE cliente (id_cliente integer PRIMARY KEY AUTOINCREMENT, nombre text,rut text,direccion text,telefono text,empresa text,rut_empresa text,correo text)
... | # -*- coding: utf-8 -*-
import os
import sqlite3
def create_db(db_name):
conn = sqlite3.connect(db_name)
c= conn.cursor()
query = """CREATE TABLE cliente (id_cliente integer PRIMARY KEY AUTOINCREMENT,
nombre text,rut text,direccion text,telefono text,empr... | Python | zaydzuhri_stack_edu_python |
import csv
comment Definiamo la lista delle province che ci servono
set citta = list string Palermo string Napoli string Roma string Milano string Torino
function get_data
begin
comment Apriamo il file che conterrà solo i dati che ci servono
set f = open string Densita di posti letto nelle strutture ricettive.csv strin... | import csv
citta = ["Palermo", "Napoli", "Roma", "Milano", "Torino"] #Definiamo la lista delle province che ci servono
def get_data():
f = open("Densita di posti letto nelle strutture ricettive.csv","wt") #Apriamo il file che conterrà solo i dati che ci servono
writer = csv.writer(f)
writer.writerow... | Python | zaydzuhri_stack_edu_python |
function list cls
begin
set pipelines = list
set _pipeline_data = call _api_get_pipelines
for pipeline in _pipeline_data
begin
set _tmp_pipe = load cls pipeline unknown=EXCLUDE
call update_fed_status
append pipelines _tmp_pipe
end
return pipelines
end function | def list(cls):
pipelines = []
_pipeline_data = cls._api_get_pipelines()
for pipeline in _pipeline_data:
_tmp_pipe = cls.load(pipeline, unknown=EXCLUDE)
_tmp_pipe.update_fed_status()
pipelines.append(_tmp_pipe)
return pipelines | Python | nomic_cornstack_python_v1 |
import re
import sys
import zhon
from zhon import hanzi
function count_chinese_chars input
begin
set chars_unique = set
set chars_count = 0
set chars = find all string [%s] % characters input
if not chars
begin
return tuple 0 0
end
else
begin
for x in chars
begin
set chars_count = chars_count + 1
if x not in chars_uniq... | import re
import sys
import zhon
from zhon import hanzi
def count_chinese_chars(input):
chars_unique = set()
chars_count = 0
chars = re.findall('[%s]' % zhon.hanzi.characters, input)
if not chars:
return 0, 0
else:
for x in chars:
chars_count = chars_count + 1
if x not in chars_unique:
chars_unique.... | Python | zaydzuhri_stack_edu_python |
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