code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
async function async_comprehension
begin
return list comprehension i for i in call async_generator
end function | async def async_comprehension() -> List[float]:
return [i async for i in async_generator()] | Python | nomic_cornstack_python_v1 |
function test_build_image_default_context self mock_docker_environment
begin
call build_image string Dockerfile.test TEST_IMAGE_NAME context=none
call assert_called_with dockerfile=string Dockerfile.test path=call pwd tag=TEST_IMAGE_NAME
end function | def test_build_image_default_context(self, mock_docker_environment):
build_image("Dockerfile.test", TEST_IMAGE_NAME, context=None)
mock_docker_environment.images.build.assert_called_with(
dockerfile="Dockerfile.test", path=pwd(), tag=TEST_IMAGE_NAME
) | Python | nomic_cornstack_python_v1 |
function delete_all_from self tablename
begin
set query = string delete from + tablename
try
begin
execute __cur query
commit __conn
end
except Exception as e
begin
rollback __conn
raise e
end
end function | def delete_all_from(self,tablename):
query = 'delete from ' + tablename
try:
self.__cur.execute(query)
self.__conn.commit()
except Exception as e:
self.__conn.rollback()
raise e | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
set counter = 1
set num = 0
function test_varibale
begin
global counter
for I in tuple 1 2 3
begin
set counter = counter + 1
end
set num = 10
end function
call test_varibale
print counter num
comment 4 0 | # -*- coding: utf-8 -*-
counter = 1
num = 0
def test_varibale():
global counter
for I in (1, 2, 3):
counter += 1
num = 10
test_varibale()
print(counter, num)
# 4 0
| Python | zaydzuhri_stack_edu_python |
function lineup_user self userid
begin
set headers = dict string Content-type string application/x-www-form-urlencoded ; string Accept string text/plain ; string Referer string http:// + domain + string /standings.phtml ; string User-Agent user_agent
set req = content
set soup = call BeautifulSoup req string html.parse... | def lineup_user(self, userid):
headers = {"Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain",
'Referer': 'http://' + self.domain + '/standings.phtml', "User-Agent": user_agent}
req = self.session.get('http://' + self.domain + '/playerInfo.phtml?pid=' + user... | Python | nomic_cornstack_python_v1 |
function run self inpt
begin
call system string mkdir build
set generation = 1
set string = inpt
set seen_machines = list
set machines = list machine
set new_machines = list
set divider = join string list string = * 20
while machines
begin
print divider string GENERATION generation divider
for tuple num machine in e... | def run(self, inpt):
os.system("mkdir build")
generation = 1
self.machine.string = inpt
seen_machines = []
machines = [self.machine]
new_machines = []
divider = "".join(["="] * 20)
while machines:
print (divider, "GENERATION", generation, divid... | Python | nomic_cornstack_python_v1 |
import sys
from board import Board
from player import Player
from move import Move
import copy
import preview
import relay
import note
import governance
import shield
import promoted_governance
import promoted_preview
import promoted_notes
import promoted_relay
import drive
import utils
class Game
begin
string class th... | import sys
from board import Board
from player import Player
from move import Move
import copy
import preview
import relay
import note
import governance
import shield
import promoted_governance
import promoted_preview
import promoted_notes
import promoted_relay
import drive
import utils
class Game:
"""
class ... | Python | zaydzuhri_stack_edu_python |
import csv
function read_nodes file
begin
set nodes = list
with open file newline=string as csvfile
begin
set reader = reader csvfile delimiter=string quotechar=string |
next reader
for row in reader
begin
comment print(', '.join(row))
if row at 3 != string Россия
begin
continue
end
append nodes tuple row at 0 decima... | import csv
def read_nodes(file):
nodes = []
with open(file, newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
next(reader)
for row in reader:
#print(', '.join(row))
if row[3] != 'Россия':
continue
nodes... | Python | zaydzuhri_stack_edu_python |
function log_warning msg *args **kwargs
begin
import logging
warning msg *args keyword kwargs
end function | def log_warning(msg: object, *args: object, **kwargs: Any) -> None:
import logging
logging.getLogger('netpbmfile').warning(msg, *args, **kwargs) | Python | nomic_cornstack_python_v1 |
function avail_pawn_moves self rw cl board=current_board
begin
set allowed_moves = zeros tuple 8 8
if color == string w
begin
comment Checks if first spot in front is open
if rw - 1 >= 0 and board at tuple rw - 1 cl == 0
begin
set allowed_moves at tuple rw - 1 cl = 1
comment If first is open, and pawn hasn't moved, als... | def avail_pawn_moves(self, rw, cl, board = current_board):
allowed_moves = np.zeros((8,8))
if self.color == 'w':
# Checks if first spot in front is open
if (rw-1 >= 0) and (board[rw-1, cl] == 0):
allowed_moves[rw-1, cl] = 1
# If first ... | Python | nomic_cornstack_python_v1 |
async function _run self
begin
await sleep timeout
call dispatch name *self.args keyword kwargs
end function | async def _run(self):
await asyncio.sleep(self.timeout)
self.client.dispatch(self.name, *self.args, **self.kwargs) | Python | nomic_cornstack_python_v1 |
function _format_response self request response encoding
begin
set rstr = encode dumps response allow_nan=false check_circular=false ensure_ascii=false encoding=encoding encoding
comment strict compliance to JSON
comment speedup
comment allows the result to be a UNICODE object.
return rstr
end function | def _format_response(self, request, response, encoding):
rstr = json.dumps(
response,
allow_nan=False, # strict compliance to JSON
check_circular=False, # speedup
ensure_ascii=False, # allows the result to be a UNICODE object.
encoding=encoding
... | Python | nomic_cornstack_python_v1 |
function draw self
begin
string Draws samples from the `fake` distribution. Returns: `np.ndarray` of samples.
set observed_arr = call generate
set arr = call inference observed_arr
return arr
end function | def draw(self):
'''
Draws samples from the `fake` distribution.
Returns:
`np.ndarray` of samples.
'''
observed_arr = self.noise_sampler.generate()
arr = self.inference(observed_arr)
return arr | Python | jtatman_500k |
function test_get_config_noconfig_node hass test_client
begin
set app = call mock_http_component_app hass
call register router
set network = call MagicMock
set data at DATA_NETWORK = call MagicMock
set node = call MockNode node_id=2
set nodes = dict 2 node
set return_value = values
set client = yield from call test_cli... | def test_get_config_noconfig_node(hass, test_client):
app = mock_http_component_app(hass)
ZWaveNodeConfigView().register(app.router)
network = hass.data[DATA_NETWORK] = MagicMock()
node = MockNode(node_id=2)
network.nodes = {2: node}
node.get_values.return_value = node.values
client = yie... | Python | nomic_cornstack_python_v1 |
function __trading_model self name
begin
return dict string breakout_with_MA_filter_and_ATR_stop BreakoutMAFilterATRStop ; string plunge_with_ATR_stop_and_profit PlungeATRStopProfit ; string bollinger_bands BollingerBands ; string ma_trend_on_pullback MATrendOnPullback ; string buy_and_hold BuyAndHold ; string ewmac EW... | def __trading_model(self, name):
return {
'breakout_with_MA_filter_and_ATR_stop': BreakoutMAFilterATRStop,
'plunge_with_ATR_stop_and_profit': PlungeATRStopProfit,
'bollinger_bands': BollingerBands,
'ma_trend_on_pullback': MATrendOnPullback,
'buy_and_ho... | Python | nomic_cornstack_python_v1 |
comment Kütüphanelerimiz import ettik
import numpy as np
import cv2 as cv
set img = call imread string smarties.png
comment img=cv.VideoCapture(0)
set output = copy img
comment Resmimizi BGR DAN GRAY E çevirdik
set gray = call cvtColor img COLOR_BGR2GRAY
set gray = call medianBlur gray 5
comment çemberleri algılamak iç... | #Kütüphanelerimiz import ettik
import numpy as np
import cv2 as cv
img=cv.imread("smarties.png")
#img=cv.VideoCapture(0)
output=img.copy()
#Resmimizi BGR DAN GRAY E çevirdik
gray=cv.cvtColor(img,cv.COLOR_BGR2GRAY)
gray=cv.medianBlur(gray,5)
#çemberleri algılamak için
circles=cv.HoughCircles(gray,cv.HOUGH_... | Python | zaydzuhri_stack_edu_python |
function computador_escolhe_jogada n m
begin
set p = 1
while p < m
begin
if n - p % m + 1 == 0
begin
return p
end
else
begin
set p = p + 1
end
end
return p
end function
function usuario_escolhe_jogada n m
begin
set valido = 0
while valido == 0
begin
set p = integer input string Quantas peças você vai tirar?
if p > 0 an... | def computador_escolhe_jogada(n,m):
p = 1
while (p < m):
if ((n-p)%(m+1)==0):
return p
else:
p+=1
return p
def usuario_escolhe_jogada(n,m):
valido = 0
while (valido == 0):
p = int(input("Quantas peças você vai tirar? "))
if (p>0 ... | Python | zaydzuhri_stack_edu_python |
function fnu_ir self spectrum
begin
if not is instance spectrum BasicSpectrum
begin
raise call ValueError string Input must be a Spectrum
end
comment work in frequencies
call in_nu
set nus = call nu
set allnu = call location nus x
try
begin
set ifnu = call fnu_nu allnu
end
except any
begin
raise call ValueError string ... | def fnu_ir(self, spectrum):
if not isinstance(spectrum, BasicSpectrum):
raise ValueError("Input must be a Spectrum")
# work in frequencies
self.in_nu()
nus = spectrum.nu()
allnu = self.location(nus, self.x)
try:
ifnu = spectrum.fnu_nu(allnu)
... | Python | nomic_cornstack_python_v1 |
string 给定一个数组，将数组中的元素向右移动 k 个位置，其中 k 是非负数。 示例 1: 输入: [1,2,3,4,5,6,7] 和 k = 3 输出: [5,6,7,1,2,3,4] 解释: 向右旋转 1 步: [7,1,2,3,4,5,6] 向右旋转 2 步: [6,7,1,2,3,4,5] 向右旋转 3 步: [5,6,7,1,2,3,4] 示例 2: 输入: [-1,-100,3,99] 和 k = 2 输出: [3,99,-1,-100] 解释: 向右旋转 1 步: [99,-1,-100,3] 向右旋转 2 步: [3,99,-1,-100] 说明: 尽可能想出更多的解决方案，至少有三种不同的方法可以解决这个问题... | """
给定一个数组，将数组中的元素向右移动 k 个位置，其中 k 是非负数。
示例 1:
输入: [1,2,3,4,5,6,7] 和 k = 3
输出: [5,6,7,1,2,3,4]
解释:
向右旋转 1 步: [7,1,2,3,4,5,6]
向右旋转 2 步: [6,7,1,2,3,4,5]
向右旋转 3 步: [5,6,7,1,2,3,4]
示例 2:
输入: [-1,-100,3,99] 和 k = 2
输出: [3,99,-1,-100]
解释:
向右旋转 1 步: [99,-1,-100,3]
向右旋转 2 步: [3,99,-1,-100]
说明:
尽可能想出更多的解决方案，至少有三种不同的方法可以解决这... | Python | zaydzuhri_stack_edu_python |
function cov_params_opg self
begin
return call _cov_params_opg _cov_approx_complex_step _cov_approx_centered
end function | def cov_params_opg(self):
return self._cov_params_opg(self._cov_approx_complex_step,
self._cov_approx_centered) | Python | nomic_cornstack_python_v1 |
function meters_to_radians_test self
begin
call assertAlmostEqual call meters_to_radians 3500 0.0004703595114532541
end function | def meters_to_radians_test(self):
self.assertAlmostEqual(meters_to_radians(3500), 0.0004703595114532541) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import sys
import subprocess
set DEBUG = false
function RunCmd cmd
begin
set output = check output list cmd stderr=STDOUT shell=true
end function | #!/usr/bin/env python
import sys
import subprocess
DEBUG = False
def RunCmd(cmd):
output = subprocess.check_output([cmd], stderr=subprocess.STDOUT, shell=True) | Python | zaydzuhri_stack_edu_python |
function interpolate_tow_points self target=none
begin
set prev_pts = new_pts
if target
begin
comment w/4
set target_length = target
end
else
begin
set target_length = interp_dist
end
set n_pts = length new_pts at 2
set points = copy np new_pts
comment Batch up sections for large tows
set batch = list
set batch_combin... | def interpolate_tow_points(self, target=None):
self.prev_pts = self.new_pts
if target:
target_length = target #w/4
else:
target_length = self.interp_dist
n_pts = len(self.new_pts[2])
points = np.copy(self.new_pts)
# Ba... | Python | nomic_cornstack_python_v1 |
import re
with open string Syllable_dictionary_updated.txt as f ; open string Syllable_dictionary_updated2.txt string w as g
begin
for line in f
begin
set match = match string ^(.+) (\d+) (\d+)$ line
set word = call group 1
set syll = integer call group 2
set end_syll = integer call group 3
write g format string {} {} ... | import re
with open("Syllable_dictionary_updated.txt") as f, open("Syllable_dictionary_updated2.txt", "w") as g:
for line in f:
match = re.match("^(.+) (\d+) (\d+)$", line)
word = match.group(1)
syll = int(match.group(2))
end_syll = int(match.group(3))
g.write("{} {} {}\n".fo... | Python | zaydzuhri_stack_edu_python |
from tkinter import *
from tkinter import ttk
import cine_database
set window = call Tk
title window string Taquilla MEDINOE PLUS
set frame_app = call Frame window width=400 height=600 bg=string red
call pack
set pelicula = call StringVar
set hora = call StringVar
set fecha = call StringVar
set idioma = call StringVar
... | from tkinter import *
from tkinter import ttk
import cine_database
window = Tk()
window.title("Taquilla MEDINOE PLUS")
frame_app = Frame(window, width=400, height=600, bg="red")
frame_app.pack()
pelicula = StringVar()
hora = StringVar()
fecha = StringVar()
idioma = StringVar()
def show_data():
pel... | Python | zaydzuhri_stack_edu_python |
import json
from urllib.request import urlopen
function getCountryCity ipAddress
begin
set response = decode read url open string http://ip-api.com/json/ + ipAddress string utf-8
set responseJson = loads response
return list get responseJson string country get responseJson string city
end function
print call getCountry... | import json
from urllib.request import urlopen
def getCountryCity(ipAddress):
response = urlopen('http://ip-api.com/json/' + ipAddress).read().decode('utf-8')
responseJson = json.loads(response)
return [responseJson.get('country'), responseJson.get('city')]
print(getCountryCity(input('Введите IP: ... | Python | zaydzuhri_stack_edu_python |
string Created on May 26, 2018 @author: Thuong
import json
from pprint import pprint
from chuong2.thu_vien import doc_noi_dung_json
if __name__ == string __main__
begin
set noi_dung = call doc_noi_dung_json string QLCT_1.json
set cong_ty = noi_dung at string CONG_TY
print string Tên công ty: cong_ty at 0 at string Ten
... | '''
Created on May 26, 2018
@author: Thuong
'''
import json
from pprint import pprint
from chuong2.thu_vien import doc_noi_dung_json
if __name__ == '__main__':
noi_dung = doc_noi_dung_json("QLCT_1.json")
cong_ty = noi_dung['CONG_TY']
print('Tên công ty:',cong_ty[0]['Ten'])
print('Địa chỉ:... | Python | zaydzuhri_stack_edu_python |
comment needed format
comment path/to/image.jpg,x1,y1,x2,y2,class_name
import numpy as np
import cv2
function draw_poly img x1 y1 x2 y2
begin
set pts = array list list x1 y1 list x1 y2 list x2 y2 list x2 y1 list x1 y1 int32
set pts = reshape pts tuple - 1 1 2
call polylines img list pts true tuple 0 255 255
end functio... | # needed format
# path/to/image.jpg,x1,y1,x2,y2,class_name
import numpy as np
import cv2
def draw_poly(img, x1, y1, x2, y2):
pts = np.array([ [x1, y1], [x1, y2], [x2, y2], [x2, y1], [x1, y1] ], np.int32)
pts = pts.reshape((-1, 1, 2))
cv2.polylines(img,[pts], True, (0, 255, 255))
if __name__ == "__main_... | Python | zaydzuhri_stack_edu_python |
from pygeo.intersect import intersect , _intersect_ray_with_sphere , _intersect_ray_with_triangle
from pygeo.objects import Ray , Sphere , Triangle , Point , Vector
import numpy as np
comment intersect
comment _intersect_ray_with_sphere
function test_intersect_ray_and_sphere_with_same_origin
begin
assert call _intersec... | from pygeo.intersect import (
intersect,
_intersect_ray_with_sphere,
_intersect_ray_with_triangle,
)
from pygeo.objects import Ray, Sphere, Triangle, Point, Vector
import numpy as np
# intersect
# _intersect_ray_with_sphere
def test_intersect_ray_and_sphere_with_same_origin():
assert(_intersect_ray_w... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Mon Oct 8 14:32:52 2018 @author: luolei 数据相关性分析
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import sys
append path string ../
from mods.config_loader import config
from mods.data_filtering import savitzky_golay_filtering
fu... | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 8 14:32:52 2018
@author: luolei
数据相关性分析
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import sys
sys.path.append('../')
from mods.config_loader import config
from mods.data_filtering import savitzky_golay_filtering
... | Python | zaydzuhri_stack_edu_python |
import sys
if __name__ == string __main__
begin
set N = integer input
set arr = list
for _ in range N
begin
set tuple a b = map int split read line stdin
append arr tuple b a
end
sort arr reverse=true
set ans = arr at 0 at 0 - arr at 0 at 1
for i in range 1 N
begin
if ans > arr at i at 0
begin
set ans = arr at i at 0 ... | import sys
if __name__ == '__main__':
N = int(input())
arr = []
for _ in range(N):
a, b = map(int, sys.stdin.readline().split())
arr.append((b, a))
arr.sort(reverse=True)
ans = arr[0][0] - arr[0][1]
for i in range(1, N):
if ans > arr[i][0]:
ans = arr[i][0] - ... | Python | zaydzuhri_stack_edu_python |
function _set_lsp_cspf self v load=false
begin
if has attribute v string _utype
begin
set v = call _utype v
end
try
begin
set t = call YANGDynClass v base=call RestrictedClassType base_type=unicode restriction_type=string dict_key restriction_arg=dict string enable dict string value 1 ; string disable dict string value... | def _set_lsp_cspf(self, v, load=False):
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u'enable': {'value': 1}, u'disabl... | Python | nomic_cornstack_python_v1 |
function report xs
begin
set result = string
set total = 0
set countscore = 0
set i = 0
while i < length xs
begin
set count = 0
set names = list
if is instance xs at i int
begin
set total = total + xs at i
set countscore = countscore + 1
set i = i + 1
end
if i == length xs
begin
break
end
while is instance xs at i st... | def report(xs):
result=""
total=0
countscore=0
i=0
while i < len(xs):
count=0
names=[]
if isinstance(xs[i], int):
total=total+xs[i]
countscore=countscore+1
i=i+1
if i==len(xs):
break
while isinstance(xs[i], str):... | Python | zaydzuhri_stack_edu_python |
from create_db import db , Message
from datetime import datetime
function update name body
begin
set message = call Message name=name body=body timestamp=now
add session message
commit session
end function
function select
begin
set message = call order_by call desc
return message
end function
function get_count
begin
s... | from create_db import db, Message
from datetime import datetime
def update(name, body):
message = Message(name=name, body=body, timestamp=datetime.now())
db.session.add(message)
db.session.commit()
def select():
message = Message.query.order_by(Message.timestamp.desc())
return message
def get_... | Python | zaydzuhri_stack_edu_python |
string Methods for finding receptive fields of CNN voxels via least-suqares approximation of model parameters. (The only receptive-field model currently implemented is a gaussian). While this is far from being the most accurate or fastest method of finding CNN voxels, it matches the processes performed in animal/human ... | """
Methods for finding receptive fields of CNN voxels via least-suqares
approximation of model parameters. (The only receptive-field model
currently implemented is a gaussian). While this is far from being the
most accurate or fastest method of finding CNN voxels, it matches the
processes performed in animal/human psy... | Python | zaydzuhri_stack_edu_python |
function _qr_rectangular_pullback cls Qbar_data Rbar_data A_data Q_data R_data out=none
begin
if out is none
begin
raise call NotImplementedError string need to implement that...
end
set Abar_data = out
set A_shp = shape
set tuple D P M N = A_shp
if M < N
begin
raise call NotImplementedError string supplied matrix has ... | def _qr_rectangular_pullback(cls, Qbar_data, Rbar_data, A_data, Q_data, R_data, out = None):
if out is None:
raise NotImplementedError('need to implement that...')
Abar_data = out
A_shp = A_data.shape
D,P,M,N = A_shp
if M < N:
raise NotImplementedErro... | Python | nomic_cornstack_python_v1 |
import numpy as np
function write_inserts_to_text_file output_path header_statement data_ref
begin
string Writes sql inserts to a text file :param output_path: file to write to :param header_statement: The first row of the insert statement :param data_ref: parameterized data to write to the file :return:
with open outp... | import numpy as np
def write_inserts_to_text_file(output_path, header_statement, data_ref):
"""
Writes sql inserts to a text file
:param output_path: file to write to
:param header_statement: The first row of the insert statement
:param data_ref: parameterized data to write to the file
:return... | Python | zaydzuhri_stack_edu_python |
function genFirstPop nPos totPlayers masterList popSize=1000
begin
comment TODO: replace genWorking team with a for loop that consolidates genRandTeam & findDups into this block
set population = list comprehension call genWorkingTeam nPos totPlayers for i in range popSize
set population = call getStats population maste... | def genFirstPop(nPos, totPlayers, masterList, popSize=1000):
#TODO: replace genWorking team with a for loop that consolidates genRandTeam & findDups into this block
population = [genWorkingTeam(nPos, totPlayers) for i in range(popSize)]
population = getStats(population, masterList)
return population | Python | nomic_cornstack_python_v1 |
import pygame , sys
from pygame.locals import *
set CENTER_SCREEN_X = 410
set CENTER_SCREEN_y = 245
set INITIAL_POSITION_ON_MATRIX_I = 0
set INITIAL_POSITION_ON_MATRIX_J = 8
set ANIMATION_DOWN = 1
set ANIMATION_LEFT = 2
set ANIMATION_RIGHT = 3
set ANIMATION_UP = 4
set ANIMATION_STOP = 0
set START_SPRITE_DOWN = 1
set ST... | import pygame, sys
from pygame.locals import *
CENTER_SCREEN_X = 410
CENTER_SCREEN_y = 245
INITIAL_POSITION_ON_MATRIX_I = 0
INITIAL_POSITION_ON_MATRIX_J = 8
ANIMATION_DOWN = 1
ANIMATION_LEFT = 2
ANIMATION_RIGHT = 3
ANIMATION_UP = 4
ANIMATION_STOP = 0
START_SPRITE_DOWN = 1
START_SPRITE_LEFT = 5
START_SPRITE_RIGHT = 9... | Python | zaydzuhri_stack_edu_python |
function itkIsolatedConnectedImageFilterID3ID3_cast *args
begin
return call itkIsolatedConnectedImageFilterID3ID3_cast *args
end function | def itkIsolatedConnectedImageFilterID3ID3_cast(*args):
return _itkIsolatedConnectedImageFilterPython.itkIsolatedConnectedImageFilterID3ID3_cast(*args) | Python | nomic_cornstack_python_v1 |
function lis sequence
begin
set lis = list comprehension 1 for _ in range length sequence
for i in range 1 length sequence
begin
for j in range 0 i
begin
if sequence at i > sequence at j and lis at i < lis at j + 1
begin
set lis at i = lis at j + 1
end
end
end
set maximum = 0
for i in range length sequence
begin
set ma... | def lis(sequence):
lis = [1 for _ in range(len(sequence))]
for i in range (1 , len(sequence)):
for j in range(0 , i):
if sequence[i] > sequence[j] and lis[i]< lis[j] + 1 :
lis[i] = lis[j]+1
maximum = 0
for i in range(len(sequence)):
maximum = ma... | Python | flytech_python_25k |
function add_user self first_name last_name login_name email title=string account_role=string standard_user time_zone=string Pacific Time (US & Canada) can_export=string false can_import=string false has_public_library=string false sso_enabled=string true
begin
set params = copy locals
del params at string self
set pa... | def add_user(self, first_name, last_name, login_name, email, title='', account_role='standard_user',
time_zone='Pacific Time (US & Canada)', can_export='false', can_import='false',
has_public_library='false', sso_enabled='true'):
params = locals().copy()
del param... | Python | nomic_cornstack_python_v1 |
function collectPairs mpack multipack=true
begin
set feats = none
set label = list
comment Collect all pairs' label and features
if multipack
begin
for dpack in values mpack
begin
if feats is none
begin
set feats = data
end
else
begin
set feats = vertical stack tuple feats data format=string csr
end
extend label targe... | def collectPairs(mpack, multipack=True):
feats = None
label = []
# Collect all pairs' label and features
if multipack:
for dpack in mpack.values():
if feats is None:
feats = dpack.data
else:
feats = sc.sparse.vstack((feats, dpack.data), fo... | Python | nomic_cornstack_python_v1 |
function add_member self member cursor=none
begin
if length call get_current_takes == 149
begin
raise MemberLimitReached
end
if status != string active
begin
raise InactiveParticipantAdded
end
call set_take_for member ZERO self cursor=cursor
end function | def add_member(self, member, cursor=None):
if len(self.get_current_takes()) == 149:
raise MemberLimitReached
if member.status != 'active':
raise InactiveParticipantAdded
self.set_take_for(member, ZERO, self, cursor=cursor) | Python | nomic_cornstack_python_v1 |
function __init__ self
begin
set _user_map = default dictionary UserNode
set _timestamp = 0
end function | def __init__(self):
self._user_map = defaultdict(self.UserNode)
self._timestamp = 0 | Python | nomic_cornstack_python_v1 |
function dump_packages self package_name=string com.sagas.dss
begin
set model_reader = call getModelReader
set tree_map = call getEntitiesByPackage none none
comment print(tree_map)
set py_tree_map = dictionary comprehension call trim_prefix k : call to_list vals for tuple k vals in items tree_map
for tuple k vals in i... | def dump_packages(self, package_name='com.sagas.dss'):
model_reader = oc.delegator.getModelReader()
tree_map = model_reader.getEntitiesByPackage(None, None)
# print(tree_map)
py_tree_map={trim_prefix(k):to_list(vals) for (k,vals) in tree_map.items() }
for (k,vals) in py_tree_map.... | Python | nomic_cornstack_python_v1 |
comment 에라토스테네스의 체 알고리즘
function prime n
begin
set sieve = list true * n
set m = integer n ^ 0.5
for i in range 2 m + 1
begin
if sieve at i == true
begin
for j in range i + i n i
begin
set sieve at j = false
end
end
end
return list comprehension i for i in range 2 n if sieve at i == true
end function | # 에라토스테네스의 체 알고리즘
def prime(n):
sieve = [True]*n
m = int(n**0.5)
for i in range(2, m+1):
if sieve[i] == True:
for j in range(i+i, n, i):
sieve[j] = False
return [i for i in range(2, n) if sieve[i] == True]
| Python | zaydzuhri_stack_edu_python |
comment -*- coding: UTF-8 -*-
import sys
import datetime
import time
import os
string 对资源进行分析 求出每个文件的最大值 最小值 平均值 处理cpu mem io
function analysis stat_type filepath
begin
print stat_type
print filepath
set __console__ = stdout
set fp = open filepath
set fp2 = open string ResourceAnalysis.txt string a
set stdout = fp2
set... | # -*- coding: UTF-8 -*-
import sys
import datetime
import time
import os
'''
对资源进行分析
求出每个文件的最大值 最小值 平均值
处理cpu mem io
'''
def analysis(stat_type,filepath):
print(stat_type)
print(filepath)
__console__=sys.stdout
fp=open(filepath)
fp2=open("ResourceAnalysis.txt","a")
sys.stdout=fp2
begin... | Python | zaydzuhri_stack_edu_python |
for _ in range integer input
begin
set tuple m x y = map int split input
set lst = list map int split input
set houses = list 0 * 100
set max = x * y
for i in lst
begin
set upper = i + max
set lower = i - max
if lower < 1
begin
set lower = 1
end
if upper > 100
begin
set upper = 100
end
for j in range lower upper + 1
be... | for _ in range(int(input())):
m,x,y=map(int,input().split())
lst=list(map(int, input().split()))
houses=[0]*100
max=x*y
for i in lst:
upper=i+max
lower=i-max
if(lower<1):
lower=1
if(upper>100):
upper=100
for j in range(lower, upper+1):
if(houses[j-1]==0):
houses[j-1]=1
print(... | Python | zaydzuhri_stack_edu_python |
function probs self np_x debug=false
begin
set dataset = call DatasetNumpy np_x zeros list length np_x transform=transform
set loader = call DataLoader dataset batch_size=128
set probs_list = list
if debug
begin
set loader = call tqdm loader desc=string Probs..
end
with no grad
begin
for tuple x _ in loader
begin
set ... | def probs(self, np_x, debug=False):
dataset = data_utils.DatasetNumpy(np_x, np.zeros([len(np_x)]), transform=self.transform)
loader = torch.utils.data.DataLoader(dataset, batch_size=128)
probs_list = []
if debug:
loader = tqdm.tqdm(loader, desc='Probs..')
wit... | Python | nomic_cornstack_python_v1 |
function RenderGenericRenderer request
begin
try
begin
set tuple action renderer_name = split path string / at slice - 2 : :
set renderer_cls = call NewPlugin name=renderer_name
end
except KeyError
begin
call IncrementCounter string grr_admin_ui_unknown_renderer
return call AccessDenied string Error: Renderer %s not ... | def RenderGenericRenderer(request):
try:
action, renderer_name = request.path.split("/")[-2:]
renderer_cls = renderers.Renderer.NewPlugin(name=renderer_name)
except KeyError:
stats.STATS.IncrementCounter("grr_admin_ui_unknown_renderer")
return AccessDenied("Error: Renderer %s not found" % renderer_... | Python | nomic_cornstack_python_v1 |
function test_period self
begin
with assert raises ParseException
begin
call evaluator dict dict string .
end
with assert raises ParseException
begin
call evaluator dict dict string 1+.
end
end function | def test_period(self):
with self.assertRaises(ParseException):
calc.evaluator({}, {}, '.')
with self.assertRaises(ParseException):
calc.evaluator({}, {}, '1+.') | Python | nomic_cornstack_python_v1 |
from typing import List
string n-th Catalan numbers of length 2n $ O(\prod_{i=1}^n rac{i}{i+1} * {2n \choose n} * 2n) \sim O( rac{1}{n+1} * {2n \choose n} * 2n) \sim O( rac{4^n}{n^{3\over 2}\sqrt{\pi}} * 2n) \sim O( rac{4^n}{n^{1\over 2}}) $
class Solution
begin
comment Time complexity: O(4^n/n^0.5)
comment Space compl... | from typing import List
"""
n-th Catalan numbers of length 2n
$
O(\prod_{i=1}^n \frac{i}{i+1} * {2n \choose n} * 2n)
\sim O(\frac{1}{n+1} * {2n \choose n} * 2n)
\sim O(\frac{4^n}{n^{3\over 2}\sqrt{\pi}} * 2n)
\sim O(\frac{4^n}{n^{1\over 2}})
$
"""
class Solution:
# Time complexity: O(4^n/n^0.5)
# Space comp... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pylab as p
import numpy as np
from sys import argv
set f = open string argv at 1 string rb
set X = list
set Y = list
set U = list
for line in f
begin
set data = list comprehension decimal x for x in split line string ,
append X data a... | #!/usr/bin/python
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pylab as p
import numpy as np
from sys import argv
f = open(str(argv[1]), 'rb')
X = []
Y = []
U = []
for line in f:
data = [float(x) for x in line.split(',')]
X.append(data[0])
Y.append(data[1])
U.append(data[2])
X = np.arr... | Python | zaydzuhri_stack_edu_python |
function convmf m_in e_in
begin
set m = array m_in % 2.0 * pi
set numiter = 50
set small = 1e-08
if e_in > small
begin
set ecc = e_in * 1.0
comment ;; /* ------------ initial guess ------------- */
set e0 = m + ecc
set lo = call logical_or m < 0.0 ? m > - pi m > pi
set e0 at lo = m at lo - ecc
set ktr = 1
set e1 = e0 +... | def convmf(m_in, e_in):
m = np.array(m_in) % (2. * np.pi)
numiter = 50
small = 0.00000001
if e_in > small:
ecc = e_in * 1.0
# ;; /* ------------ initial guess ------------- */
e0 = m + ecc
lo = np.logical_or((m < 0.0) & (m > -np.pi), m > np.pi)
e0[lo] = ... | Python | nomic_cornstack_python_v1 |
from rest_framework.response import Response
class APIResponse extends Response
begin
function __init__ self data_status=0 data_msg=string ok results=none http_status=none headers=none exception=false **kwargs
begin
comment data的初始状态：状态码与状态信息
set data = dict string status data_status ; string msg data_msg
comment data的... | from rest_framework.response import Response
class APIResponse(Response):
def __init__(self, data_status=0, data_msg='ok', results=None, http_status=None, headers=None, exception=False, **kwargs):
# data的初始状态：状态码与状态信息
data = {
'status': data_status,
'msg': data_msg,
... | Python | zaydzuhri_stack_edu_python |
string 每次将n-1个元素加1 相当于每次将一个元素减1 k = sum(nums) - n*min(nums) 与之类似还有462.Minimum Moves to Equal Array Elements II
class Solution
begin
function minMoves self nums
begin
string :type nums: List[int] :rtype: int
return sum nums - length nums * min nums
end function
end class | '''
每次将n-1个元素加1 相当于每次将一个元素减1
k = sum(nums) - n*min(nums)
与之类似还有462.Minimum Moves to Equal Array Elements II
'''
class Solution:
def minMoves(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
return sum(nums) - len(nums)*min(nums)
| Python | zaydzuhri_stack_edu_python |
from __future__ import annotations
from string import punctuation
import pandas as pd
from sklearn.base import BaseEstimator , TransformerMixin
from spacy.lang.en.stop_words import STOP_WORDS
import spacy
set stopwords = list STOP_WORDS
set nlp = load spacy string en_core_web_sm
class Preprocessor extends BaseEstimator... | from __future__ import annotations
from string import punctuation
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from spacy.lang.en.stop_words import STOP_WORDS
import spacy
stopwords = list(STOP_WORDS)
nlp = spacy.load("en_core_web_sm")
class Preprocessor(BaseEstimator, Tr... | Python | zaydzuhri_stack_edu_python |
function tags_all self
begin
return get pulumi self string tags_all
end function | def tags_all(self) -> pulumi.Output[Mapping[str, str]]:
return pulumi.get(self, "tags_all") | Python | nomic_cornstack_python_v1 |
function typo_homo_bits_others_squatting domain squat_dic
begin
for key in squat_dic
begin
set current_type = squat_dic at key
for item in current_type
begin
if item == domain
begin
return key
end
end
end
return none
end function | def typo_homo_bits_others_squatting(domain, squat_dic):
for key in squat_dic:
current_type = squat_dic[key]
for item in current_type:
if item == domain:
return key
return None | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
from base.base_model import BaseModel
class DeepYeastModel extends BaseModel
begin
function __init__ self config
begin
call __init__ config
call build_model
call init_saver
end function
function build_model self
begin
call init_build_model
comment Block 1
set x = conv 2d input_layer 64 3 padding... | import tensorflow as tf
from base.base_model import BaseModel
class DeepYeastModel(BaseModel):
def __init__(self, config):
super(DeepYeastModel, self).__init__(config)
self.build_model()
self.init_saver()
def build_model(self):
super(DeepYeastModel, self).init_build_model()
... | Python | zaydzuhri_stack_edu_python |
comment print out a statement saying what you're most excited to learn in this course!
print string I am excited to see what you can do with coding.
comment print out the number 5 and the string "days" using one line of code.
set message = string 5 days:
set space = string
set days = string Monday, Tuesday, Wednesday,... | # print out a statement saying what you're most excited to learn in this course!
print("I am excited to see what you can do with coding.")
# print out the number 5 and the string "days" using one line of code.
message = "5 days:"
space = " "
days = "Monday, Tuesday, Wednesday, Thursday, Friday"
print(message + space +... | Python | zaydzuhri_stack_edu_python |
for i in range 0 n
begin
set a = decimal input
set sum = sum + a
end
set avg = sum / decimal n | for i in range(0,n):
a=float(input())
sum=sum+a
avg=(sum)/float(n) | Python | zaydzuhri_stack_edu_python |
comment Tipos de variables (cadenas, números, listas, diccionarios, boleanos) #########
comment cadena
set texto = string Taller de Python
comment entero
set num = 35
comment flotante
set flotante = 3.5
comment boleano
set verdadero = true
comment boleano
set falso = false
comment lista
set list = list string pedro str... | ######### Tipos de variables (cadenas, números, listas, diccionarios, boleanos) #########
texto = "Taller de Python" # cadena
num = 35 # entero
flotante = 3.5 # flotante
verdadero = True # boleano
falso = False # boleano
list = ["pedro", "pablo", "juan", texto] # lista
print(list[3])
dict = {"altura": "1... | Python | zaydzuhri_stack_edu_python |
set even_list = list comprehension x for x in list if x % 2 == 0 | even_list = [x for x in list if x%2 == 0]
| Python | flytech_python_25k |
comment Leap motion controller for space invaders
comment Differs from the listener in that we only poll the controller when we want.
import Leap , sys , thread , time
from Leap import CircleGesture , KeyTapGesture , ScreenTapGesture , SwipeGesture
import math
class SpaceController extends Controller
begin
function __i... | # Leap motion controller for space invaders
# Differs from the listener in that we only poll the controller when we want.
import Leap, sys, thread, time
from Leap import CircleGesture, KeyTapGesture, ScreenTapGesture, SwipeGesture
import math
class SpaceController(Leap.Controller):
def __init__(self):
Le... | Python | zaydzuhri_stack_edu_python |
function state_file_name self state_name
begin
return call joinpath state_name + string .json
end function | def state_file_name(self, state_name: str) -> Path:
return self.home.joinpath(state_name + ".json") | Python | nomic_cornstack_python_v1 |
function get_mask self image
begin
set mask = call get_gradients image
return mask
end function | def get_mask(self, image):
mask = self.get_gradients(image)
return mask | Python | nomic_cornstack_python_v1 |
function height self
begin
return __height
end function | def height(self):
return self.__height | Python | nomic_cornstack_python_v1 |
function __str__ self
begin
return format string {0} {1} ({2}) rec_date rec_time store
end function | def __str__(self):
return '{0} {1} ({2})'.format(self.rec_date, self.rec_time, self.store) | Python | nomic_cornstack_python_v1 |
from __future__ import print_function , division
import pandas as pd
from torch.utils.data import Dataset
import torch
class PIMADataset extends Dataset
begin
string PIMA Indian Diabetes Database
function __init__ self csv_file
begin
set df = read csv csv_file
comment Standardising
set X = drop df string Outcome axis=1... | from __future__ import print_function, division
import pandas as pd
from torch.utils.data import Dataset
import torch
class PIMADataset(Dataset):
"""
PIMA Indian Diabetes Database
"""
def __init__(self, csv_file):
df = pd.read_csv(csv_file)
# Standardising
X = df.drop('Outcome... | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
import numpy as np
import os as os
import timeit
string Class backprop: --------------- Constructor Parameters: 1. input: training input to the model (numpy array) 2. target: target values for supervised training (numpy array) 3. n_hidden: number of hidden layers (int) 4. hidden: number of neuro... | import tensorflow as tf
import numpy as np
import os as os
import timeit
'''
Class backprop:
---------------
Constructor Parameters:
1. input: training input to the model (numpy array)
2. target: target values for supervised training (numpy array)
3. n_hidden: number of hidden layers (int)
... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function multiply self num1 num2
begin
set digit = list string 0 string 1 string 2 string 3 string 4 string 5 string 6 string 7 string 8 string 9
set tuple times1 times2 = tuple 1 1
set tuple first second = tuple 0 0
for letter in num1 at slice : : - 1
begin
set n = index digit letter
set first =... | class Solution:
def multiply(self, num1: str, num2: str) -> str:
digit = ['0','1','2','3','4','5','6','7','8','9']
times1, times2 = 1, 1
first, second = 0, 0
for letter in num1[::-1]:
n = digit.index(letter)
first += n * times1
times1 *= 1... | Python | zaydzuhri_stack_edu_python |
function get self get_args
begin
set include = get get_args string include none
set get_args = call prepare_paginator_args get_args
set get_args at string query = call handle_query_dict get_args at string query
set tuple result total_count = call run_paginator_query get_args
comment Reference alanlara erişim istenmiş m... | def get(self, get_args):
include = get_args.get('include', None)
get_args = self.prepare_paginator_args(get_args)
get_args['query'] = self.handle_query_dict(get_args['query'])
result, total_count = self.run_paginator_query(get_args)
# Reference alanlara erişim istenmiş mi kontrol... | Python | nomic_cornstack_python_v1 |
string #01 - Dada a lista L = [5, 7, 2, 9, 4, 1, 3], escreva um programa que imprima as seguintes informações: a) tamanho da lista. b) maior valor da lista. c) menor valor da lista. d) soma de todos os elementos da lista. e) lista em ordem crescente. f) lista em ordem decrescente.
set l = list 5 7 2 9 4 1 3
print strin... | '''#01 - Dada a lista L = [5, 7, 2, 9, 4, 1, 3],
escreva um programa que imprima as seguintes informações:
a) tamanho da lista.
b) maior valor da lista.
c) menor valor da lista.
d) soma de todos os elementos da lista.
e) lista em ordem crescente.
f) lista em ordem decrescente.'''
l = [5, 7, 2, 9, 4, 1, 3]
pri... | Python | zaydzuhri_stack_edu_python |
function main
begin
comment find 10001st prime
function isPrime num factors
begin
set isPrime = true
comment check if is prime by dividing by primes smaller than itself
for factor in factors
begin
if num % factor == 0
begin
set isPrime = false
break
end
end
return isPrime
end function
set primes = list 2
set j = 2
whil... | def main():
#find 10001st prime
def isPrime(num, factors):
isPrime = True
#check if is prime by dividing by primes smaller than itself
for factor in factors:
if num % factor == 0:
isPrime = False
break
return isPrime
primes = [2... | Python | zaydzuhri_stack_edu_python |
function getInitParams self
begin
set paramDict = dict
set paramDict at string Module file name = functionFile
set paramDict at string The residuum is provided = __actionImplemented at string residuum
set paramDict at string The sign of the residuum is provided = __actionImplemented at string residuumSign
set paramDic... | def getInitParams(self):
paramDict = {}
paramDict['Module file name' ] = self.functionFile
paramDict['The residuum is provided' ] = self.__actionImplemented['residuum']
paramDict['The sign of the residuum is provided'] = self.__actionImplemented['residuumSign']
paramDic... | Python | nomic_cornstack_python_v1 |
function list_all_keys_starting_with_choose mapping model_name ignore_list isblacklist
begin
debug string Top of list_all_keys_starting_with_choose
set all_chooses = list
set keys = list mapping
for key in keys
begin
set value = mapping at key
if is instance key str and starts with key string choose_ and not isblackli... | def list_all_keys_starting_with_choose(mapping, model_name, ignore_list, isblacklist):
logging.debug("Top of list_all_keys_starting_with_choose")
all_chooses = []
keys = list(mapping)
for key in keys:
value = mapping[key]
if (
isinstance(key, str)
and key.startswi... | Python | nomic_cornstack_python_v1 |
class Point
begin
function __init__ self x y
begin
set x = x
set y = y
end function
function __str__ self
begin
return format string ({0}, {1}) x y
end function
function __repr__ self
begin
return format string Point({0}, {1}) x y
end function
function __eq__ self other
begin
return x == x and y == y
end function
funct... | class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def __str__(self):
return "({0}, {1})".format(self.x, self.y)
def __repr__(self):
return "Point({0}, {1})".format(self.x, self.y)
def __eq__(self, other):
return self.x == other.x and se... | Python | zaydzuhri_stack_edu_python |
function get_name_from_name_consensus_hash self name_consensus_hash sender_script_pubkey block_id
begin
string Find the name.ns_id from hash( name.ns_id, consensus_hash ), given the sender and block_id, and assuming that name.ns_id is already registered. There are only a small number of values this hash can take, so te... | def get_name_from_name_consensus_hash( self, name_consensus_hash, sender_script_pubkey, block_id ):
"""
Find the name.ns_id from hash( name.ns_id, consensus_hash ), given the sender and
block_id, and assuming that name.ns_id is already registered.
There are only a small number of values... | Python | jtatman_500k |
comment !/usr/bin/env python3
import argparse
import json
import sys
from recova.util import eprint
function merge_statistics dict1 dict2
begin
return dict
end function
function merge_result_files result_files output
begin
set metadata = dict
set merged_data = list
set statistics = dict
set what = none
for entry in... | #!/usr/bin/env python3
import argparse
import json
import sys
from recova.util import eprint
def merge_statistics(dict1, dict2):
return {}
def merge_result_files(result_files, output):
metadata = {}
merged_data = []
statistics = {}
what = None
for entry in result_files:
with open(e... | Python | zaydzuhri_stack_edu_python |
function broadcast_to_session self session_id header msg exclude=list
begin
set host = sessions at session_id at string HOST at string ID
call send header host msg
for key in keys sessions at session_id at string USERS
begin
if key not in exclude
begin
call send header key msg
end
end
end function | def broadcast_to_session(self,session_id,header,msg, exclude = []):
host = self.sessions[session_id]["HOST"]["ID"]
self.send(header,host,msg)
for key in self.sessions[session_id]["USERS"].keys():
if key not in exclude:
self.send(header,key,msg) | Python | nomic_cornstack_python_v1 |
function latest_read_timestamp self
begin
set timestamp = latest_read_timestamp
return call from_timestamp timestamp
end function | def latest_read_timestamp(self):
timestamp = (self._conversation.self_conversation_state.
self_read_state.latest_read_timestamp)
return parsers.from_timestamp(timestamp) | Python | nomic_cornstack_python_v1 |
function is_nic_legacy_boot_protocol_pxe self nic_id
begin
return call is_nic_legacy_boot_protocol_pxe nic_id
end function | def is_nic_legacy_boot_protocol_pxe(self, nic_id):
return self._nic_cfg.is_nic_legacy_boot_protocol_pxe(nic_id) | Python | nomic_cornstack_python_v1 |
function _get_mi_hyperpplanes self
begin
set d = dim - 1
set hyperplanes = list comprehension tuple d const for const in range order + 1
return hyperplanes
end function | def _get_mi_hyperpplanes(self) -> List[Tuple[int, int]]:
d = self.dim - 1
hyperplanes = [(d, const) for const in range(self.order + 1)]
return hyperplanes | Python | nomic_cornstack_python_v1 |
comment p20.py
comment Layla Gallez
comment 2/28/2021
comment Python 3.8.1
comment Description: Program to show output in Python
set user_input = integer input string How Many Numbers Would You Like To Enter?
set sum = 0
set sumNeg = 0
set sumPos = 0
for index in range 0 user_input 1
begin
set number = decimal input st... | # p20.py
# Layla Gallez
# 2/28/2021
# Python 3.8.1
# Description: Program to show output in Python
user_input =int(input('How Many Numbers Would You Like To Enter? '))
sum = 0
sumNeg = 0
sumPos = 0
for index in range(0, user_input,1):
number = float(input('Enter number %i: ' %(index+1) ))
if number < 0:
... | Python | zaydzuhri_stack_edu_python |
function test_no_undefined_references_from_session
begin
set bf = call Session load_questions=false use_deprecated_workmgr_v1=false
with call object q string undefinedReferences create=true as undefinedReferences
begin
comment Test success
set return_value = call MockQuestion
call assert_no_undefined_references
comment... | def test_no_undefined_references_from_session():
bf = Session(load_questions=False, use_deprecated_workmgr_v1=False)
with patch.object(bf.q, "undefinedReferences", create=True) as undefinedReferences:
# Test success
undefinedReferences.return_value = MockQuestion()
bf.asserts.assert_no_u... | Python | nomic_cornstack_python_v1 |
set a = integer input
set b = decimal input
set c = input
print i + a
print d + b
print s + c |
a=int(input())
b=float(input())
c=input()
print(i+a)
print(d+b)
print(s+c)
| Python | zaydzuhri_stack_edu_python |
comment Bags/Sweets program
set bags = integer input string Enter the number of bags you have:
set sweets = integer input string Enter the number of sweets you have (must be greater than that of the number of bags):
while bags >= sweets
begin
set sweets = integer input string Please enter a number of sweets larger than... | #Bags/Sweets program
bags = int(input("Enter the number of bags you have: "))
sweets = int(input("Enter the number of sweets you have (must be greater than that of the number of bags): "))
while bags >= sweets:
sweets = int(input((f"Please enter a number of sweets larger than {bags}: ")))
if(sweets/bags) % 2 ... | Python | zaydzuhri_stack_edu_python |
comment IMPORT DEPENDENCIES
comment -------------------------------------------------------------------------------------
from nltk.tokenize import word_tokenize as token
from nltk.corpus import stopwords
from nltk.stem.snowball import SnowballStemmer
import string , math , numpy as np , pandas as pd
comment IMPORT DAT... | #IMPORT DEPENDENCIES
#-------------------------------------------------------------------------------------
from nltk.tokenize import word_tokenize as token
from nltk.corpus import stopwords
from nltk.stem.snowball import SnowballStemmer
import string, math, numpy as np, pandas as pd
#IMPORT DATASET
#---------... | Python | zaydzuhri_stack_edu_python |
import ctypes , os
comment see <linux/time.h>
set CLOCK_MONOTONIC = 1
class timespec extends Structure
begin
set _fields_ = list tuple string tv_sec c_long tuple string tv_nsec c_long
end class
set librt = call CDLL string librt.so.1 use_errno=true
set clock_gettime = clock_gettime
set argtypes = list c_int call POINTE... | import ctypes, os
CLOCK_MONOTONIC = 1 # see <linux/time.h>
class timespec(ctypes.Structure):
_fields_ = [
('tv_sec', ctypes.c_long),
('tv_nsec', ctypes.c_long)
]
librt = ctypes.CDLL('librt.so.1', use_errno=True)
clock_gettime = librt.clock_gettime
clock_gettime.argtypes = [ctypes.c_int, ctype... | Python | zaydzuhri_stack_edu_python |
function is_dark wf
begin
if not get alfred_env string theme_background
begin
return true
end
set rgb = list comprehension integer x for x in split alfred_env at string theme_background at slice 5 : - 6 : string ,
return 0.299 * rgb at 0 + 0.587 * rgb at 1 + 0.114 * rgb at 2 / 255 < 0.5
end function
function get_icon ... | def is_dark(wf):
if not wf.alfred_env.get('theme_background'):
return True
rgb = [int(x) for x in wf.alfred_env['theme_background'][5:-6].split(',')]
return (0.299 * rgb[0] + 0.587 * rgb[1] + 0.114 * rgb[2]) / 255 < 0.5
def get_icon(wf, name):
name = '%s-dark' % name if is_dark(wf) else name
return "ico... | Python | jtatman_500k |
function enrich_predictions df_pred path_dtype_data
begin
comment from photometry header
comment get headers
set list_head = glob glob string { path_dtype_data } /*HEAD.FITS
set list_df_head = list
for fname in list_head
begin
set dat = read Table fname format=string fits
append list_df_head call to_pandas
end
set df_... | def enrich_predictions(df_pred, path_dtype_data):
# from photometry header
# get headers
list_head = glob.glob(f"{path_dtype_data}/*HEAD.FITS")
list_df_head = []
for fname in list_head:
dat = Table.read(fname, format='fits')
list_df_head.append(dat.to_pandas())
df_head = pd.conca... | Python | nomic_cornstack_python_v1 |
function get_tsv_files
begin
set tuple df_dic _ = call get_all_dataframes
set folder = string dataframes
if not exists path folder
begin
make directories folder
end
for tuple y df in items df_dic
begin
fill missing df 0 inplace=true
set filename = string df + string y + string .tsv
print string Saving filename
to csv d... | def get_tsv_files():
df_dic, _ = get_all_dataframes()
folder = 'dataframes'
if not os.path.exists(folder):
os.makedirs(folder)
for y, df in df_dic.items():
df.fillna(0, inplace=True)
filename = 'df'+str(y)+'.tsv'
print("Saving ", filename)
df.to_csv(Path(folder)... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment tup1=(23,46,"false",49)
comment print(tup1)
comment print(type(tup1))
comment In[2]:
set tup1 = tuple 23 46 string false 49
print tup1 at 2
print type tup1
comment In[4]:
set tup1 = tuple 23 46 string false 493 46 string true 49
print tup1 at slice 2 : 5 :
prin... | #!/usr/bin/env python
# coding: utf-8
# tup1=(23,46,"false",49)
# print(tup1)
# print(type(tup1))
# In[2]:
tup1=(23,46,"false",49)
print(tup1[2])
print(type(tup1))
# In[4]:
tup1=(23,46,"false",493,46,"true",49)
print(tup1[2:5])
print(type(tup1))
# In[7]:
tup1=(23,46,"false",49,True,"apple","mango")
print(tu... | Python | zaydzuhri_stack_edu_python |
import cv2
set face_cascade = call CascadeClassifier string haarcascade_frontalface_default.xml
set capture = call VideoCapture 0
while true
begin
set tuple ret img = read capture
set gray_img = call cvtColor img COLOR_BGR2GRAY
set faces = call detectMultiScale gray_img 1.3 5
for tuple x y w h in faces
begin
call recta... | import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
capture = cv2.VideoCapture(0)
while True:
ret, img = capture.read()
gray_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray_img, 1.3, 5)
for (x,y,w,h) in faces:
... | Python | zaydzuhri_stack_edu_python |
function get_album art_name art_bum art_num=none
begin
set artist = dict string Name art_name ; string Album art_bum
if art_num
begin
set artist at string Number of Songs = art_num
end
return artist
end function | def get_album(art_name, art_bum, art_num = None):
artist = {'Name': art_name, 'Album': art_bum}
if art_num:
artist['Number of Songs'] = art_num
return artist | Python | nomic_cornstack_python_v1 |
from typing import List , Optional
comment type: ignore
import shapefile as shp
import pandas as pd
from src.log import logger
class ShapefileManager
begin
function __init__ self input_shapefile_path output_shapefile_path csv_path
begin
set output_shapefile_path = output_shapefile_path
if csv_path
begin
call _create_ra... | from typing import List, Optional
import shapefile as shp # type: ignore
import pandas as pd
from src.log import logger
class ShapefileManager:
def __init__(
self,
input_shapefile_path: str,
output_shapefile_path: str,
csv_path: Optional[str],
):
self.output_shapefil... | Python | zaydzuhri_stack_edu_python |
import os
if __name__ == string __main__
begin
set amazon_path = string images\Reference images\Amazom
set imageName = split amazon_path sep at - 1
set dotIndex = find imageName string .
print dotIndex
print imageName at slice 0 : dotIndex :
print sep
end | import os
if __name__ == '__main__':
amazon_path = "images\\Reference images\\Amazom"
imageName = amazon_path.split(os.path.sep)[-1]
dotIndex = imageName.find(".");
print(dotIndex)
print(imageName[0:dotIndex])
print(os.path.sep) | Python | zaydzuhri_stack_edu_python |
string Creates training data from semi-supervised technique. Give the script a set of data that has a specific turn. It then clusters the events. Each cluster represents a component of the timed event (ie. starting cluster of events, middle nad end of events)
import datetime
import os
import sys
import numpy as np
impo... | """
Creates training data from semi-supervised technique.
Give the script a set of data that has a specific turn.
It then clusters the events. Each cluster represents a component of the
timed event (ie. starting cluster of events, middle nad end of events)
"""
import datetime
import os
import sys
import numpy as np
imp... | Python | zaydzuhri_stack_edu_python |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.