code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
import turtle
import pandas
set screen = call Screen
title screen string U.S States Game
set image = string blank_states_img.gif
call addshape image
call shape image
set data = read csv string 50_states.csv
set all_states = call to_list
set guessed_states = list
while length guessed_states < 50
begin
set answer_state ... | import turtle
import pandas
screen = turtle.Screen()
screen.title("U.S States Game")
image = "blank_states_img.gif"
screen.addshape(image)
turtle.shape(image)
data = pandas.read_csv("50_states.csv")
all_states = data.state.to_list()
guessed_states = []
while len(guessed_states) < 50:
answer_state = screen.text... | Python | zaydzuhri_stack_edu_python |
function get_pump self pump text=false
begin
if not call have_pump pump
begin
return none
end
if text
begin
return text_pump at pump_status at pump
end
return pump_status at pump
end function | def get_pump(self, pump, text=False):
if not self.have_pump(pump):
return None
if text:
return text_pump[self.pump_status[pump]]
return self.pump_status[pump] | Python | nomic_cornstack_python_v1 |
import argparse
import os
import random
import torch
from torch.optim.lr_scheduler import ReduceLROnPlateau
import torch.backends.cudnn as cudnn
from model import build_model
from data import CIFARLoader
from utils import save_checkpoint
function get_arguments
begin
set parser = call ArgumentParser description=string A... | import argparse
import os
import random
import torch
from torch.optim.lr_scheduler import ReduceLROnPlateau
import torch.backends.cudnn as cudnn
from model import build_model
from data import CIFARLoader
from utils import save_checkpoint
def get_arguments():
parser = argparse.ArgumentParser(description='Attention i... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
set data = dict string calories list 420 380 390 ; string duration list 50 40 45
set df = call DataFrame data index=list string Kadiatou string Tima string Formation
print loc at list string Kadiatou | import pandas as pd
data = {
"calories": [420, 380, 390],
"duration": [50, 40, 45]
}
df = pd.DataFrame(data, index = ["Kadiatou", "Tima ", "Formation"])
print(df.loc[["Kadiatou"]]) | Python | zaydzuhri_stack_edu_python |
function set_activated self value
begin
set activated = value
return self
end function | def set_activated(self, value: bool) -> "Logger":
self.activated = value
return self | Python | nomic_cornstack_python_v1 |
function _create_user self email password **extra_fields
begin
if not email
begin
raise call ValueError string The given email must be set
end
set email = call normalize_email email
set user = model email=email keyword extra_fields
call set_password password
save using=_db
return user
end function | def _create_user(self, email, password, **extra_fields):
if not email:
raise ValueError('The given email must be set')
email = self.normalize_email(email)
user = self.model(email=email, **extra_fields)
user.set_password(password)
user.save(using=self._db)
retu... | Python | nomic_cornstack_python_v1 |
for line in file
begin
append astArray list strip line
end
close file
import math
comment copied from carlundersman at https://community.esri.com/thread/158038
function calculateDistance x1 y1 x2 y2
begin
set dist = square root x2 - x1 ^ 2 + y2 - y1 ^ 2
return dist
end function
comment copied from Manivannan Murugavel,... | for line in file:
astArray.append(list(line.strip()))
file.close()
import math
def calculateDistance(x1,y1,x2,y2): #copied from carlundersman at https://community.esri.com/thread/158038
dist = math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
return dist
def getAngle(a, b, c): #copied from Man... | Python | zaydzuhri_stack_edu_python |
function iterencode self o
begin
if check_circular
begin
set markers = dict
end
else
begin
set markers = none
end
return call _iterencode o markers
end function | def iterencode(self, o):
if self.check_circular:
markers = {}
else:
markers = None
return self._iterencode(o, markers) | Python | nomic_cornstack_python_v1 |
function assign_responsible name form
begin
if not call validate_on_submit
begin
raise call ValueError call form_error_string errors
end
set uid = data
set send = data
set user = call user_by_id uid
if string admin in call permissions
begin
set project = call get_project_by_name name
end
else
begin
set project = call c... | def assign_responsible(name, form):
if not form.validate_on_submit():
raise ValueError(form_error_string(form.errors))
uid = form.login.data
send = form.send.data
user = user_by_id(uid)
if "admin" in current_user.permissions():
project = get_project_by_name(name)
else:
pr... | Python | nomic_cornstack_python_v1 |
function train self input_callbacks=none
begin
comment Add optional input callbacks to default callbacks
set callbacks = list scheduler call DilatedOnTrainingEvaluation model validation_data tolerance=training_parameters at string prediction_window_size probability_threshold=training_parameters at string probability_th... | def train(self, input_callbacks: Optional[list[K_callbacks.Callback]] = None):
# Add optional input callbacks to default callbacks
callbacks = [self.scheduler, evaluation.DilatedOnTrainingEvaluation
(self.built_model.model, self.validation_data, tolerance=self.training_parameters['p... | Python | nomic_cornstack_python_v1 |
import requests
import pandas as pd
set offset = 0
with open string keys/data_gov_api_key.txt as f
begin
set api_key = read f
end
print string api_key api_key
set base_url = string https://api.data.gov.in/resource/3b01bcb8-0b14-4abf-b6f2-c1bfd384ba69
comment api_key = "Your API Key"
set data_format = string json
set of... | import requests
import pandas as pd
offset = 0
with open("keys/data_gov_api_key.txt") as f:
api_key = f.read()
print("api_key",api_key)
base_url = "https://api.data.gov.in/resource/3b01bcb8-0b14-4abf-b6f2-c1bfd384ba69"
# api_key = "Your API Key"
data_format = "json"
offset = 0
# url = "{}?api-key={}&format={}&o... | Python | zaydzuhri_stack_edu_python |
function parse_import stream
begin
set module_name = call parse_text stream
set as_name = call parse_text stream
set descriptor = call parse_import_descriptor stream
return call Import module_name as_name descriptor
end function | def parse_import(stream: IO[bytes]) -> Import:
module_name = parse_text(stream)
as_name = parse_text(stream)
descriptor = parse_import_descriptor(stream)
return Import(module_name, as_name, descriptor) | Python | nomic_cornstack_python_v1 |
function to_dict self
begin
set d = copy __dict__
set d at string contestant = if expression contestant then call to_dict else none
set d at string decision = if expression decision then id else none
return d
end function | def to_dict(self):
d = self.__dict__.copy()
d['contestant'] = self.contestant.to_dict() if self.contestant else None
d['decision'] = self.decision.id if self.decision else None
return d | Python | nomic_cornstack_python_v1 |
import random
function rock_paper_scissors
begin
string This function implements the rock paper scissors game.
set choices = tuple string rock string paper string scissors
print string Hello and welcome to game of rock paper scissors.
while true
begin
set player_input = call raw_input string Please choose rock, paper, ... | import random
def rock_paper_scissors():
"""
This function implements the rock paper scissors game.
"""
choices = ("rock", "paper", "scissors")
print("Hello and welcome to game of rock paper scissors.")
while True:
player_input = raw_input("Please choose rock, paper, or scissors. Enter 'r' for rock, 'p' for p... | Python | zaydzuhri_stack_edu_python |
function __loadQmi filename **kwargs
begin
comment open file
comment TODO: check for errors
set f = open filename string rb
comment read / check header
set headersize = call calcsize string !4sQ
set tuple magic datasize = call unpack string !4sQ read f headersize
if magic == string QMI1
begin
set version = 1
end
else
i... | def __loadQmi(filename, **kwargs):
# open file
# TODO: check for errors
f = open(filename, "rb")
# read / check header
headersize = struct.calcsize("!4sQ")
(magic, datasize) = struct.unpack("!4sQ", f.read(headersize))
if magic == "QMI1":
version = 1
elif magic == "QMI2":
... | Python | nomic_cornstack_python_v1 |
function max_even_seq n
begin
set ans = 0
set counter = 0
set num = string n
for a in num
begin
if integer a % 2 == 0
begin
set counter = counter + 1
end
else
if counter > ans
begin
set ans = counter
set counter = 0
end
else
begin
set counter = 0
end
end
if counter > ans
begin
set ans = counter
end
return ans
end funct... | def max_even_seq(n):
ans = 0
counter= 0
num = str(n)
for a in num:
if int(a)%2 == 0:
counter = counter+1
else:
if counter>ans:
ans = counter
counter = 0
else:
counter = 0
if counter>ans:
ans = counter
return ans
| Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn as nn
import torch.nn.functional as F
class LSTMConvs extends Module
begin
function __init__ self embeddings_dim output_dim lstm_hidden_dim n_layers dropout
begin
call __init__
set conv1 = conv 1d embeddings_dim embeddings_dim 21 stride=1 padding=21 // 2
set conv2 = conv 1d embeddings_dim e... | import torch
import torch.nn as nn
import torch.nn.functional as F
class LSTMConvs(nn.Module):
def __init__(self, embeddings_dim: int, output_dim, lstm_hidden_dim, n_layers, dropout):
super(LSTMConvs, self).__init__()
self.conv1 = nn.Conv1d(embeddings_dim, embeddings_dim, 21, stride=1, padding=21 ... | Python | zaydzuhri_stack_edu_python |
import math
import time
set T1 = time
function collatz n
begin
if n % 2 == 0
begin
return integer n / 2
end
else
begin
return integer 3 * n + 1
end
end function
for i in range 0 1000001
begin
set record = 0
set tel = 0
set t = call collatz i
while t > 1
begin
set t = call collatz t
set tel = tel + 1
end
if tel > record... | import math
import time
T1 = time.time()
def collatz(n):
if(n % 2 == 0):
return int(n/2)
else:
return int(3*n+1)
for i in range(0,1000001):
record = 0
tel = 0
t = collatz(i)
while(t > 1):
t = collatz(t)
tel += 1
if(tel > record):
record = tel
T2 = t... | Python | zaydzuhri_stack_edu_python |
string 测试 try...except...finally...
for i in range 2 at slice : : - 1
begin
try
begin
print string try...
set r = 10 / i
set a = string dfg
print string result: r
end
except ZeroDivisionError as e
begin
print string except: e
set a = string fdfdg
end
finally
begin
print string finally...
end
set t = tuple string evd ... | '''
测试
try...except...finally...
'''
for i in range(2)[::-1]:
try:
print('try...')
r = 10 / i
a = 'dfg'
print('result:', r)
except ZeroDivisionError as e:
print('except:', e)
a = 'fdfdg'
finally:
print('finally...')
t = ('evd', a, 'df')
print... | Python | zaydzuhri_stack_edu_python |
function parse_args
begin
set parser = call ArgumentParser
call add_argument string --start type=str default=string required=false help=string The start square of the agent, in the form row,col. If not specified, this is randomized
call add_argument string --actions type=str required=true nargs=string + help=string Th... | def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--start",
type=str,
default="",
required=False,
help="The start square of the agent, in the form row,col. If not specified, this is randomized"
)
parser.add_argument(
"--actions... | Python | nomic_cornstack_python_v1 |
function __len__ self
begin
return length tc_lst
end function | def __len__(self):
return len(self._tr.tc_lst) | Python | nomic_cornstack_python_v1 |
class Case
begin
function __init__ self x y
begin
set x = x
set y = y
end function
function adjacentes self jeu
begin
set cases_adjascentes = list
for c in listesDesCase
begin
if absolute x - x <= 1 and absolute y - y <= 1
begin
if x == x and y == y
begin
continue
end
append cases_adjascentes c
end
end
return cases_ad... | class Case:
def __init__(self, x, y):
self.x = x
self.y = y
def adjacentes(self, jeu):
cases_adjascentes = []
for c in jeu.listesDesCase:
if (abs(c.x - self.x) <= 1) and (abs(c.y - self.y) <= 1):
if (c.x == self.x) and (c.y == self.y):
... | Python | zaydzuhri_stack_edu_python |
from settings import *
from debugger import debugger
class Block
begin
string The main block class which represents all objects not in user control
function __init__ self x y velx vely otp
begin
set x = x
set y = y
set velocity = dict string x velx ; string y vely
set otp = otp
end function
function move self
begin
str... | from .settings import *
from .debugger import debugger
class Block():
"""The main block class which represents all objects not in user control"""
def __init__(self, x, y, velx, vely, otp):
self.x = x
self.y = y
self.velocity = {
"x": velx,
"y": vely
}
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment -------------------------------------------------------------------------------
comment Name: base.py
comment Purpose: Music21 base classes and important utilities
comment Authors: Michael Scott Cuthbert
comment Christopher Ariza
comment Copyright: (c) 2009-2010 The music21 Project
comm... | #!/usr/bin/python
#-------------------------------------------------------------------------------
# Name: base.py
# Purpose: Music21 base classes and important utilities
#
# Authors: Michael Scott Cuthbert
# Christopher Ariza
#
# Copyright: (c) 2009-2010 The music21 Project
... | Python | zaydzuhri_stack_edu_python |
function request_key_lock_status
begin
return string STX
end function | def request_key_lock_status() -> str:
return "STX" | Python | nomic_cornstack_python_v1 |
function component_type self component_type
begin
set allowed_values = list string CONNECTION string PROCESSOR string PROCESS_GROUP string REMOTE_PROCESS_GROUP string INPUT_PORT string OUTPUT_PORT string REMOTE_INPUT_PORT string REMOTE_OUTPUT_PORT string FUNNEL string LABEL string CONTROLLER_SERVICE string REPORTING_TA... | def component_type(self, component_type):
allowed_values = ["CONNECTION", "PROCESSOR", "PROCESS_GROUP", "REMOTE_PROCESS_GROUP", "INPUT_PORT", "OUTPUT_PORT", "REMOTE_INPUT_PORT", "REMOTE_OUTPUT_PORT", "FUNNEL", "LABEL", "CONTROLLER_SERVICE", "REPORTING_TASK", "PARAMETER_CONTEXT", "PARAMETER_PROVIDER", "TEMPLATE"... | Python | nomic_cornstack_python_v1 |
import sys
import math
set tuple width height = list comprehension integer i for i in split input
set game_map = list
for i in range height
begin
set line = input
append game_map list line
end
function get_adjacent_count h w
begin
set count = 0
try
begin
if w != width and game_map at h at w + 1 != string #
begin
set c... | import sys
import math
width, height = [int(i) for i in input().split()]
game_map = []
for i in range(height):
line = input()
game_map.append(list(line))
def get_adjacent_count(h,w):
count = 0
try:
if w != width and game_map[h][w+1] != '#':
count += 1
except:
pass
... | Python | zaydzuhri_stack_edu_python |
function need_context self
begin
return true
end function | def need_context(self):
return True | Python | nomic_cornstack_python_v1 |
for i in range n
begin
append lis input
end
for i in range n
begin
for j in range i + 1 n
begin
if lis at i == lis at j
begin
set temp = temp + 1
end
end
if temp == 0
begin
set count = count + 1
end
set temp = 0
end
print count | for i in range(n):
lis.append(input())
for i in range(n):
for j in range(i+1, n):
if lis[i] == lis[j]:
temp += 1
if temp == 0:
count += 1
temp = 0
print(count)
| Python | zaydzuhri_stack_edu_python |
class Node
begin
function __init__ self data
begin
set data = data
set next = none
end function
function get_data self
begin
return data
end function
function get_next self
begin
return next
end function
function set_next self next
begin
set next = next
end function
function set_data self data
begin
set data = data
end... | class Node:
def __init__(self, data):
self.data = data
self.next = None
def get_data(self):
return self.data
def get_next(self):
return self.next
def set_next(self, next):
self.next = next
def set_data(self, data):
self.data = data
class Lin... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment Seeing the world:
comment Think of at least five places in the world you'd like to visit:
comment Store the locations in a list. Make sure the list is not in
comment alphabetical order.
comment Print your list in its original order. Dont worry about pri... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Seeing the world:
# Think of at least five places in the world you'd like to visit:
# Store the locations in a list. Make sure the list is not in
# alphabetical order.
# Print your list in its original order. Dont worry about printing
# the list neatly. Just print it a... | Python | zaydzuhri_stack_edu_python |
comment real signature unknown; NOTE: unreliably restored from __doc__
function acceptAllKeys self *args **kwargs
begin
pass
end function | def acceptAllKeys(self, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__
pass | Python | nomic_cornstack_python_v1 |
string numbers[0] = 3 numbers[-1] = 2 numbers[3] = 1 numbers[:-1] = removed last element numbers[3:4] = number after 3 and after 5 5 in numbers = True 7 in numbers = False "3" in numbers = False numbers + [6, 5, 3] = added 6, 5 & 3 to end of list
set numbers at 0 = 10
set numbers at - 1 = 1
numbers at slice 2 : length ... | '''
numbers[0] = 3
numbers[-1] = 2
numbers[3] = 1
numbers[:-1] = removed last element
numbers[3:4] = number after 3 and after 5
5 in numbers = True
7 in numbers = False
"3" in numbers = False
numbers + [6, 5, 3] = added 6, 5 & 3 to end of list
'''
numbers[0] = 10
numbers[-1] = 1
numbers[2:len(numbers)]
9 in numbers
| Python | zaydzuhri_stack_edu_python |
function _register_converters_xgboost exc=true
begin
set registered = list
try
begin
from xgboost import XGBClassifier
end
comment pragma: no cover
except ImportError as e
begin
if exc
begin
raise e
end
else
begin
warn string Cannot register XGBClassifier due to ' { e } '.
set XGBClassifier = none
end
end
if XGBClassi... | def _register_converters_xgboost(exc=True):
registered = []
try:
from xgboost import XGBClassifier
except ImportError as e: # pragma: no cover
if exc:
raise e
else:
warnings.warn(
f"Cannot register XGBClassifier due to '{e}'.")
XG... | Python | nomic_cornstack_python_v1 |
function run_setup_teardown_query **kwargs
begin
set query_results = list
if kwargs at string do_run
begin
for query in kwargs at string queries
begin
set result = call run_query query=query iterations=1 trim=kwargs at string trim con=kwargs at string con
if not result at string query_succeeded
begin
warning string Err... | def run_setup_teardown_query(**kwargs):
query_results = list()
if kwargs['do_run']:
for query in kwargs['queries']:
result = run_query(
query=query, iterations=1,
trim=kwargs['trim'],
con=kwargs['con']
)
if not result['q... | Python | nomic_cornstack_python_v1 |
function makeMove self movable_statement
begin
comment Student code goes here
set string_statement = string movable_statement
set disk_a = split string_statement at 1
set peg_a = split string_statement at 2
comment drop the ')'
set peg_b = split string_statement at 3 at slice : - 1 :
comment disk1 is no longer top of... | def makeMove(self, movable_statement):
### Student code goes here
string_statement = str(movable_statement)
disk_a = string_statement.split()[1]
peg_a = string_statement.split()[2]
#drop the ')'
peg_b = string_statement.split()[3][:-1]
#disk1 is no longer top of ... | Python | nomic_cornstack_python_v1 |
function GetCenterMarkCount2 self Size=defaultNamedNotOptArg
begin
return call _ApplyTypes_ 249 1 tuple 3 0 tuple tuple 16387 3 string GetCenterMarkCount2 none Size
end function | def GetCenterMarkCount2(self, Size=defaultNamedNotOptArg):
return self._ApplyTypes_(249, 1, (3, 0), ((16387, 3),), u'GetCenterMarkCount2', None,Size
) | Python | nomic_cornstack_python_v1 |
import pandas as pd
import sys
import requests
from bs4 import BeautifulSoup
set funcionarios = read json string funcionarios_id.json
set n_funcionarios = shape at 0
function baixa_id id_funcionario
begin
set url = string https://www.consultaremuneracao.rj.gov.br/ConsultaRemuneracao/vinculos/?id= { id_funcionario }
pri... | import pandas as pd
import sys
import requests
from bs4 import BeautifulSoup
funcionarios = pd.read_json('funcionarios_id.json')
n_funcionarios = funcionarios.shape[0]
def baixa_id(id_funcionario):
url = f'https://www.consultaremuneracao.rj.gov.br/ConsultaRemuneracao/vinculos/?id={id_funcionario}'
print... | Python | zaydzuhri_stack_edu_python |
import md5
set door_id = string ffykfhsq
set password = string
set found_hashes = 0
set counter = 0
while found_hashes < 8
begin
set md5sum = md5 door_id + string counter
if hex digest md5sum at slice 0 : 5 : == string 0 * 5
begin
set password = password + hex digest md5sum at 5
set found_hashes = found_hashes + 1
en... | import md5
door_id = 'ffykfhsq'
password = ''
found_hashes = 0
counter = 0
while found_hashes < 8:
md5sum = md5.md5(door_id + str(counter))
if md5sum.hexdigest()[0:5] == '0' * 5:
password += md5sum.hexdigest()[5]
found_hashes += 1
counter += 1
| Python | zaydzuhri_stack_edu_python |
comment ch7_5.py
set players = list string curry string jordan string james string durant string obama
for player in players
begin
print string { title player } , it was a great game.
print string 我迫不及待想看下一場比賽 { title player }
end | # ch7_5.py
players = ['curry', 'jordan', 'james', 'durant', 'obama']
for player in players:
print(f"{player.title()}, it was a great game.")
print(f"我迫不及待想看下一場比賽 {player.title()}")
| Python | zaydzuhri_stack_edu_python |
string Простые делители числа 13195 - это 5, 7, 13 и 29. Каков самый большой делитель числа 600851475143, являющийся простым числом?
set number = 600851475143
set divider = 2
while divider != number
begin
if number % divider == 0
begin
set number = number / divider
end
else
begin
set divider = divider + 1
end
end
print... | """Простые делители числа 13195 - это 5, 7, 13 и 29.
Каков самый большой делитель числа 600851475143, являющийся простым числом?"""
number = 600851475143
divider = 2
while divider != number:
if number % divider == 0:
number = number / divider
else:
divider = divider + 1
print(int(number))
| Python | zaydzuhri_stack_edu_python |
function get_creds
begin
set creds = dict
with open string config.txt as file
begin
for line in file
begin
set tuple key val = list comprehension strip x for x in split line string =
set creds at lower key = val
end
end
return creds
end function | def get_creds():
creds = {}
with open("config.txt") as file:
for line in file:
(key, val) = [x.strip() for x in line.split('=')]
creds[key.lower()] = val
return creds | Python | zaydzuhri_stack_edu_python |
function set_policy_weights self network_type network_weights
begin
if network_type == string actor
begin
call set_weights network_weights
end
else
begin
call set_weights network_weights
end
end function | def set_policy_weights(
self,
network_type: str,
network_weights: List[np.ndarray]) -> None:
if network_type == 'actor':
self._neural_net.set_weights(network_weights)
else:
self._critic_net.set_weights(network_weights) | Python | nomic_cornstack_python_v1 |
function train param hyp x_train y_train x_test y_test cfg_idx
begin
set num_epoches = hyp at string num_epoches
set batch_size = hyp at string batch_size
set learning_rate = hyp at string learning_rate
set mu = hyp at string mu
set tuple test_loss_list test_accu_list = tuple list list
if boolean hyp at string moment... | def train(param, hyp , x_train, y_train, x_test, y_test,cfg_idx):
num_epoches = hyp['num_epoches']
batch_size = hyp['batch_size']
learning_rate = hyp['learning_rate']
mu = hyp['mu']
test_loss_list, test_accu_list = [],[]
if bool(hyp['momentum']) == True:
w_velocity = np.zeros(param['w'].... | Python | nomic_cornstack_python_v1 |
function fill_attributes ml_file other_file
begin
with call load_dataset other_file as other
begin
with call open_dataset ml_file as ml
begin
for variable in variables
begin
if variable in variables
begin
set attrs = attrs
end
end
end
call to_netcdf other_file
end
end function | def fill_attributes(ml_file, other_file):
with xr.load_dataset(other_file) as other:
with xr.open_dataset(ml_file) as ml:
for variable in other.variables:
if variable in ml.variables:
other[variable].attrs = ml[variable].attrs
other.to_netcdf(other_fil... | Python | nomic_cornstack_python_v1 |
function detect_image screengrab imageset searchx searchy threshold=none radius=2 great_threshold=none xradius=none yradius=none algorithm=SEARCH_SPIRAL compare_regions=none
begin
set tuple image_width image_height = size
if threshold is none
begin
comment Use an automatic threshold.
set best_rms = image_width * image_... | def detect_image(screengrab, imageset, searchx, searchy, threshold=None, radius=2, great_threshold=None,
xradius=None, yradius=None, algorithm=SEARCH_SPIRAL, compare_regions=None):
image_width, image_height = imageset[0][1].size
if threshold is None:
# Use an automatic threshold.
... | Python | nomic_cornstack_python_v1 |
function while_U
begin
set i = 0
while i < 5
begin
set j = 0
while j < 4
begin
if j == 0 and i != 4 or j == 3 and i != 4 or i == 4 and j not in tuple 0 3
begin
print string * end=string
end
else
begin
print string end=string
end
set j = j + 1
end
set i = i + 1
print
end
end function | def while_U():
i=0
while i<5:
j=0
while j<4:
if j==0and i!=4 or j==3 and i!=4 or i==4 and j not in(0,3) :
print("*",end=" ")
else:
print(" ",end=" ")
j+=1
i+=1
p... | Python | nomic_cornstack_python_v1 |
print string ===================================================================
print string | Numberic Data Type |
print string | 1.int |
print string | 2.float |
print string | 3.Octal & Hexadecimal |
print string | 4.Arithmetic operator |
print string ================================================================... | print('===================================================================')
print('| Numberic Data Type |')
print('| 1.int |')
print('| 2.float |')
print('| 3.... | Python | zaydzuhri_stack_edu_python |
function evaluateTrainTest self xtrain ytrain xtest ytest name rho m_name modelFit i
begin
comment only minimum information is output if exception is raised in learning or evaluation
set out = dict string name name ; string model m_name ; string rho rho ; string i i
try
begin
comment fits the model
set tuple ypredtrain... | def evaluateTrainTest(self, xtrain, ytrain, xtest, ytest, name, rho, m_name, modelFit, i):
# only minimum information is output if exception is raised in learning or evaluation
out = {
"name" : name,
"model" : m_name,
"rho" : rho,
"i" : i
... | Python | nomic_cornstack_python_v1 |
function time self
begin
string Retrieve the current time from the redis server. :rtype: float :raises: :exc:`~tredis.exceptions.RedisError`
function format_response value
begin
string Format a TIME response into a datetime.datetime :param list value: TIME response is a list of the number of seconds since the epoch and... | def time(self):
"""Retrieve the current time from the redis server.
:rtype: float
:raises: :exc:`~tredis.exceptions.RedisError`
"""
def format_response(value):
"""Format a TIME response into a datetime.datetime
:param list value: TIME response is a lis... | Python | jtatman_500k |
from tkinter import *
from tkinter import ttk , filedialog , messagebox
from OpenKompas import *
comment список значений находящихся в listbox
set lb = list
set dmin_value = none
set dmax_value = none
comment 21 - размер вала; b9 - класс допуска; 20.84 - Dmax; 20.788 - Dmin
set values = dict string 21 dict string b9 t... | from tkinter import *
from tkinter import ttk, filedialog, messagebox
from OpenKompas import *
lb = [] # список значений находящихся в listbox
dmin_value = None
dmax_value = None
# 21 - размер вала; b9 - класс допуска; 20.84 - Dmax; 20.788 - Dmin
values = {'21': {'b9': (20.84, 20.788), 'c11': (20.89, 20.7... | Python | zaydzuhri_stack_edu_python |
function get_binding_code self thres=0.69
begin
comment first, sec, third = self.free_bases
comment a, b, c = self.scaf_comp_bases
set fbs = free_bases
set fb_codes = list string 1 string 2 string 3
set cbs = scaf_comp_bases
set cb_codes = list string a string b string c
set b_code = string
for i_fb in range length fb... | def get_binding_code(self, thres=0.69):
# first, sec, third = self.free_bases
# a, b, c = self.scaf_comp_bases
fbs = self.free_bases
fb_codes = ["1", "2", "3"]
cbs = self.scaf_comp_bases
cb_codes = ["a", "b", "c"]
b_code = ""
for i_fb in range(len(fbs)):
... | Python | nomic_cornstack_python_v1 |
function replace_and_update self contact
begin
set match = call find_match contact
if match
begin
merge contact
return match
end
else
begin
return contact
end
end function | def replace_and_update(self, contact):
match = self.find_match(contact)
if match:
match.merge(contact)
return match
else:
return contact | Python | nomic_cornstack_python_v1 |
function build_show_log ctx args
begin
for build_id in args
begin
set data = call get_build_log_by_build_id build_id
call echo text
end
end function | def build_show_log(ctx, args):
for build_id in args:
data = ctx.obj.get_build_log_by_build_id(build_id)
click.echo(data.text) | Python | nomic_cornstack_python_v1 |
import sys
set stdin = open string 4865_input.txt string r
set T = integer input
for tc in range 1 T + 1
begin
set char = set input
set target = input
set value = set target
set comp = dict
for elem in value
begin
if elem in char
begin
set comp at elem = count target elem
end
end
print format string #{} {} tc max valu... | import sys
sys.stdin = open('4865_input.txt', 'r')
T = int(input())
for tc in range(1, T + 1):
char = set(input())
target = input()
value = set(target)
comp = {}
for elem in value:
if elem in char:
comp[elem] = target.count(elem)
print('#{} {}'. format(tc, max(comp.values(... | Python | zaydzuhri_stack_edu_python |
function run_all self delay_seconds=0
begin
string Run all jobs regardless if they are scheduled to run or not. A delay of `delay` seconds is added between each job. This helps distribute system load generated by the jobs more evenly over time. :param delay_seconds: A delay added between every executed job
info string ... | def run_all(self, delay_seconds=0):
"""
Run all jobs regardless if they are scheduled to run or not.
A delay of `delay` seconds is added between each job. This helps
distribute system load generated by the jobs more evenly
over time.
:param delay_seconds: A delay added ... | Python | jtatman_500k |
comment ! /usr/bin/env python
comment 05.09.2010 <> 05.09.2010 | cmiN
comment IEHistoryView Parser 4 Flubber @ rstcenter.com
import urllib
function main
begin
comment settings
comment name of the text file to be parsed
set fname = string log.txt
comment destination file
set dname = string links.txt
comment starting url... | #! /usr/bin/env python
# 05.09.2010 <> 05.09.2010 | cmiN
# IEHistoryView Parser 4 Flubber @ rstcenter.com
import urllib
def main():
# settings
fname = "log.txt" # name of the text file to be parsed
dname = "links.txt" # destination file
ul = 3 # starting url line
sv = 10 # step value
dl = True... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function addDigits self num
begin
string :type num: int :rtype: int
set sums = 0
while num > 9
begin
set sums = sums + num % 10
set num = num / 10
if num < 10
begin
set num = num + sums
set sums = 0
end
end
return num
end function
end class
if __name__ == string __main__
begin
call a... | class Solution(object):
def addDigits(self, num):
"""
:type num: int
:rtype: int
"""
sums = 0
while num >9:
sums+= num%10
num/=10
if num < 10:
num +=sums
sums = 0
return num
if __name__ == ... | Python | zaydzuhri_stack_edu_python |
import smbus
import time
import math
class PWM
begin
function __init__ self bus_number address frequency
begin
set bus = call SMBus bus_number
set address = address
call _setup_chip frequency
end function
function _setup_chip self frequency
begin
set _MODE1 = 0
set _MODE2 = 1
set _PRESCALE = 254
set _SLEEP = 16
set _AL... | import smbus
import time
import math
class PWM:
def __init__(self, bus_number, address, frequency):
self.bus = smbus.SMBus(bus_number)
self.address = address
self._setup_chip(frequency)
def _setup_chip(self, frequency):
_MODE1 = 0x00
_MODE2 =... | Python | zaydzuhri_stack_edu_python |
function test_variation_non_probabilistic acquisition_function
begin
set input_ = tensor list list list 0.0 2.0 0.4 list 2.0 0.0 1.6
with raises ValueError
begin
call acquisition_function input_
end
end function | def test_variation_non_probabilistic(acquisition_function):
input_ = torch.tensor([[[0.0, 2.0, 0.4], [2.0, 0.0, 1.6]]])
with pytest.raises(ValueError):
acquisition_function(input_) | Python | nomic_cornstack_python_v1 |
import os , sqlite3 , csv , romkan
from gtts import gTTS
set conn = call connect string master_dict.db
set c = call cursor
execute c string select distinct kana, id from dictionary;
for word in call fetchall
begin
set my_path = string string ./audio/ja/ + replace call to_roma word at 0 string / string + string .wav
if ... | import os, sqlite3, csv, romkan
from gtts import gTTS
conn = sqlite3.connect('master_dict.db')
c = conn.cursor()
c.execute("select distinct kana, id from dictionary;")
for word in c.fetchall():
my_path = str('./audio/ja/' + romkan.to_roma(word[0]).replace('/', ' ') + '.wav')
if (not os.path.exists(my_path)):
... | Python | zaydzuhri_stack_edu_python |
function save_images self x output name n=16
begin
comment make grids and save to logger
set grid_top = call make_grid x at tuple slice : n : slice : : slice : : slice : : nrow=n
set grid_bottom = call make_grid output at tuple slice : n : slice : : slice : : slice : : nrow=n
set grid = call cat t... | def save_images(self, x, output, name, n=16):
# make grids and save to logger
grid_top = vutils.make_grid(x[:n,:,:,:], nrow=n)
grid_bottom = vutils.make_grid(output[:n,:,:,:], nrow=n)
grid = torch.cat((grid_top, grid_bottom), 1)
self.logger.experiment.add_image(name, grid, self.c... | Python | nomic_cornstack_python_v1 |
comment Rock-paper-scissors-lizard-Spock template
import random
comment The key idea of this program is to equate the strings
comment "rock", "paper", "scissors", "lizard", "Spock" to numbers
comment as follows:
comment 0 - rock
comment 1 - Spock
comment 2 - paper
comment 3 - lizard
comment 4 - scissors
comment helper ... | # Rock-paper-scissors-lizard-Spock template
import random
# The key idea of this program is to equate the strings
# "rock", "paper", "scissors", "lizard", "Spock" to numbers
# as follows:
#
# 0 - rock
# 1 - Spock
# 2 - paper
# 3 - lizard
# 4 - scissors
# helper functions
def number_to_name(number):
if number ==... | Python | zaydzuhri_stack_edu_python |
function leave self
begin
if m_stack is none
begin
raise error string Encoder not initialized. Call start() first.
end
if length m_stack == 1
begin
raise error string Tag stack is empty.
end
set value = join b'' m_stack at - 1
del m_stack at - 1
call _emit_length length value
call _emit value
end function | def leave(self):
if self.m_stack is None:
raise Error('Encoder not initialized. Call start() first.')
if len(self.m_stack) == 1:
raise Error('Tag stack is empty.')
value = b''.join(self.m_stack[-1])
del self.m_stack[-1]
self._emit_length(len(value))
... | Python | nomic_cornstack_python_v1 |
comment magic 5gon
comment outer ring starts with the smallest value
comment so to max we would have 6, 7, 8, 9, 10 in the outer nodes
comment starting with 6.
comment that leaves 5,4,3,2,1 on the inner nodes.
comment 6+7+8+9+10 + 2*(1+2+3+4+5) = 70 / 5 = 14
comment so max case starts with 6,5,3
comment then that force... | # magic 5gon
# outer ring starts with the smallest value
# so to max we would have 6, 7, 8, 9, 10 in the outer nodes
# starting with 6.
# that leaves 5,4,3,2,1 on the inner nodes.
# 6+7+8+9+10 + 2*(1+2+3+4+5) = 70 / 5 = 14
# so max case starts with 6,5,3
# then that forces 10,3,1
# aiming for max, we would like 9,1,4 t... | Python | zaydzuhri_stack_edu_python |
import pygame
import core
class Bird
begin
function __init__ self
begin
set hitbox = none
set couleur = string
set rayon = none
set pos_x = none
set pos_y = none
end function
comment Init après collision
function reset self posX posY
begin
set pos_x = posX
set pos_y = posY
end function
comment Affichage dans la fenêtr... | import pygame
import core
class Bird:
def __init__(self):
self.hitbox = None
self.couleur = ""
self.rayon = None
self.pos_x = None
self.pos_y = None
# Init après collision
def reset(self, posX, posY):
self.pos_x = posX
self.po... | Python | zaydzuhri_stack_edu_python |
function GenerateLabels self hash_information
begin
if hash_information
begin
return list string nsrl_present
end
comment TODO: Renable when tagging is removed from the analysis report.
comment return [u'nsrl_not_present']
return list
end function | def GenerateLabels(self, hash_information):
if hash_information:
return [u'nsrl_present']
# TODO: Renable when tagging is removed from the analysis report.
# return [u'nsrl_not_present']
return [] | Python | nomic_cornstack_python_v1 |
function delta_c self z
begin
return 1.686 / call growth_factor z
end function | def delta_c(self, z):
return 1.686 / self.cosmo.growth_factor(z) | Python | nomic_cornstack_python_v1 |
function process_file self stream
begin
if cols is none and sep is none
begin
call process_options
end
set tuple cols sep = tuple cols sep
set seen_header = false
if cols is not none
begin
comment Prepare ncols and headers in advance here
set ncols = length cols
set headers = list comprehension string Dataset %d % idx ... | def process_file(self, stream):
if self.cols is None and self.sep is None:
self.process_options()
cols, sep = self.cols, self.sep
seen_header = False
if cols is not None:
# Prepare ncols and headers in advance here
ncols = len(cols)
head... | Python | nomic_cornstack_python_v1 |
class Animal extends object
begin
function __init__ self name age
begin
comment Instance variables
set name = name
set age = age
end function
function __str__ self
begin
return name
end function
end class
comment Uses parent's init method
class Cat extends Animal
begin
comment Class variable shared among all instances ... | class Animal(object):
def __init__(self, name, age):
# Instance variables
self.name = name
self.age = age
def __str__(self):
return self.name
# Uses parent's init method
class Cat(Animal):
# Class variable shared among all instances of a class
found_rats = False
... | Python | zaydzuhri_stack_edu_python |
import turtle
import math
function olympic
begin
comment radius has to be over 50
set radius = integer input string Enter a number:
call speed 2
call showturtle
call pensize 5
call color string blue
call circle radius
call color string yellow
call penup
call goto 50 - 50
call pendown
call circle radius
call color strin... | import turtle
import math
def olympic():
radius = int(input("Enter a number: ")) #radius has to be over 50
turtle.speed(2)
turtle.showturtle()
turtle.pensize(5)
turtle.color("blue")
turtle.circle(radius)
turtle.color("yellow")
turtle.penup()
turtle.goto(50, -50)
turtle.pendown(... | Python | zaydzuhri_stack_edu_python |
function to_compare ch1 ch2
begin
if ch1 == string rock
begin
if ch2 == string scissors
begin
return string Rock win
end
end
else
begin
return string Paper win
end
if ch1 == string paper
begin
if ch2 == string rock
begin
return string Paper win
end
else
begin
return string Rock win
end
end
if ch1 == string scissors
beg... | def to_compare(ch1,ch2):
if ch1 == "rock":
if ch2 == "scissors":
return("Rock win")
else:
return("Paper win")
if ch1 == "paper":
if ch2 == "rock":
return("Paper win")
else:
return("Rock win")
if ch1 == "scissors":
if ch2 == "pa... | Python | zaydzuhri_stack_edu_python |
function copy_to_ocr doc_dict
begin
try
begin
comment check if document directory in OCR input directory exists
if not exists path join path TOC_OCR_IN doc_dict at string name
begin
comment create missing directories
make directories join path TOC_OCR_IN doc_dict at string name
end
end
except any
begin
raise call IOErr... | def copy_to_ocr(doc_dict):
try:
# check if document directory in OCR input directory exists
if not os.path.exists(os.path.join(config.TOC_OCR_IN, doc_dict['name'])):
# create missing directories
os.makedirs(os.path.join(config.TOC_OCR_IN, doc_dict['name']))
except:
... | Python | nomic_cornstack_python_v1 |
import os
set default environ string DJANGO_SETTINGS_MODULE string bingo_coffquiz_project.settings
import django
setup django
from coffquiz.models import Coffee , Article
from django.contrib.auth.models import User
comment Coffee product information and reviews come from Amazon website https://www.amazon.com/
function ... | import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'bingo_coffquiz_project.settings')
import django
django.setup()
from coffquiz.models import Coffee, Article
from django.contrib.auth.models import User
# Coffee product information and reviews come from Amazon website https://www.amazon.com/
def populate():
... | Python | zaydzuhri_stack_edu_python |
comment Strings
set first_name = string Sherly
comment integers
set age = 39
comment float
set pi = 3.14
comment booleans T/F
set can_drive = true
comment can_drive="Yes I can"
comment arthmetic
comment concatination "hi" + "world"
set a = 10
set b = 5
comment FOLLOWS PEMDAS/BODMAS
print a + b
print a - b
print a * b
p... | #Strings
first_name='Sherly'
#integers
age=39
#float
pi=3.14
#booleans T/F
can_drive=True
#can_drive="Yes I can"
#arthmetic
#concatination "hi" + "world"
a=10
b=5
#FOLLOWS PEMDAS/BODMAS
print(a+b)
print(a-b)
print(a*b)
print(a/b)
print(a%b) #modulus command, i.e. remainder command
print(a%2) #even ... | Python | zaydzuhri_stack_edu_python |
comment https://www.codewars.com/kata/56ff6a70e1a63ccdfa0001b1
function array_madness a b
begin
return sum list comprehension el ^ 2 for el in a > sum list comprehension el ^ 3 for el in b
end function | # https://www.codewars.com/kata/56ff6a70e1a63ccdfa0001b1
def array_madness(a,b):
return sum([el**2 for el in a]) > sum([el**3 for el in b]) | Python | zaydzuhri_stack_edu_python |
comment def check_reverse(string):
comment your code goes here
comment txt = string
comment txt2 = string[::-1]
comment if txt == txt2:
comment print('True')
comment else:
comment print('False')
comment check_reverse('abc')
comment def fib(num):
comment lst = [0,1]
comment for i in range(num):
comment fibarr = lst[-2:]... | #def check_reverse(string):
# your code goes here
# txt = string
# txt2 = string[::-1]
#
# if txt == txt2:
# print('True')
# else:
# print('False')
#
#check_reverse('abc')
#def fib(num):
# lst = [0,1]
# for i in range(num):
# fibarr = lst[-2:]
#con... | Python | zaydzuhri_stack_edu_python |
function getDistIdForPackage self product version flavor=none
begin
return string eupspkg:%s-%s.eupspkg % tuple product version
end function | def getDistIdForPackage(self, product, version, flavor=None):
return "eupspkg:%s-%s.eupspkg" % (product, version) | Python | nomic_cornstack_python_v1 |
function cluster_shutdown
begin
map shutdown cluster
end function | def cluster_shutdown():
map(shutdown, cluster) | Python | nomic_cornstack_python_v1 |
if length original > 0 and is alpha original
begin
print original
lower original
set palabra = lower original
set primera = palabra at 0
if primera == string A or primera == string a or primera == string E or primera == string e or primera == string I or primera == string i or primera == string O or primera == string o... | if len(original) > 0 and original.isalpha():
print (original)
original.lower()
palabra = original.lower()
primera = palabra[0]
if primera == "A" or primera == "a" or primera == "E" or primera == "e"\
or primera == "I" or primera == "i" or primera == "O"\
or primera == "o" or primera == "U... | Python | zaydzuhri_stack_edu_python |
import os
set l = list map int split input
sort l
set a = l at 2 * 10 + l at 1 + l at 0
print a | import os
l = list(map(int,input().split()))
l.sort()
a =l[2]*10+l[1]+l[0]
print(a)
| Python | zaydzuhri_stack_edu_python |
print string hello
set x = 5
set y = 4
set z = y + x
print z | print('hello')
x = 5
y = 4
z = y+x
print(z) | Python | zaydzuhri_stack_edu_python |
function fetch_model_versions_table self columns=none
begin
return call _fetch_entries self child_type=MODEL_VERSION query=call NQLQueryAggregate items=list call NQLQueryAttribute name=string sys/model_id value=_sys_id operator=EQUALS type=STRING call NQLQueryAttribute name=string sys/trashed type=BOOLEAN operator=EQUA... | def fetch_model_versions_table(self, *, columns: Optional[Iterable[str]] = None) -> Table:
return MetadataContainer._fetch_entries(
self,
child_type=ContainerType.MODEL_VERSION,
query=NQLQueryAggregate(
items=[
NQLQueryAttribute(
... | Python | nomic_cornstack_python_v1 |
function _get_text cls encoded_text
begin
set boundary = replace _encoding_boundary string \ string \\
set regex = compile boundary at slice 1 : : + string (.*) + boundary at slice : - 1 : + string (.*) DOTALL
try
begin
return tuple call group 1 call group 2
end
except AttributeError
begin
raise call WeirdTextDecod... | def _get_text(cls, encoded_text: str) -> (str, str):
boundary = cls._encoding_boundary.replace('\\', '\\\\')
regex = re.compile(boundary[1:] + r'(.*)' + boundary[:-1] + r'(.*)', re.DOTALL)
try:
return regex.search(encoded_text).group(1), regex.search(encoded_text).group(2)
e... | Python | nomic_cornstack_python_v1 |
function plot_contours fisher pos i j nstd=1.0 ax=none resize=false **kwargs
begin
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
function eigsorted cov
begin
set tuple vals vecs = call eigh cov
set order = call argsort at slice : : - 1
return tuple vals at order vecs at tuple slice : : ord... | def plot_contours(fisher, pos, i, j, nstd=1., ax=None, resize=False, **kwargs):
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
def eigsorted(cov):
vals, vecs = onp.linalg.eigh(cov)
order = vals.argsort()[::-1]
return vals[order], vecs[:, order]
cov... | Python | nomic_cornstack_python_v1 |
function get_weighted_drugbank_graph drugbank_graph potency_filepath
begin
set potency_mapping = read csv potency_filepath sep=string index_col=false dtype=dict string chemical_pubchem_id str
set edge_weights = dictionary comprehension tuple chemical_pubchem target_uniprot : normalized_pchembl for tuple chemical_pubch... | def get_weighted_drugbank_graph(
*,
drugbank_graph: BELGraph,
potency_filepath: str,
):
potency_mapping = pd.read_csv(
potency_filepath,
sep='\t',
index_col=False,
dtype={'chemical_pubchem_id': str},
)
edge_weights = {
(chemical_pubchem, target_uniprot): n... | Python | nomic_cornstack_python_v1 |
function replace self collection
begin
set _cards = cards
end function | def replace(self, collection):
self._cards = collection.cards | Python | nomic_cornstack_python_v1 |
function init_widget self
begin
string Initialize the underlying widget.
call init_widget
set d = declaration
set w = widget
if not enabled
begin
call set_enabled enabled
end
if indicator_background_color
begin
call set_indicator_background_color indicator_background_color
end
if indicator_color
begin
call set_indicato... | def init_widget(self):
""" Initialize the underlying widget.
"""
super(AndroidSwipeRefreshLayout, self).init_widget()
d = self.declaration
w = self.widget
if not d.enabled:
self.set_enabled(d.enabled)
if d.indicator_background_color:
self.... | Python | jtatman_500k |
function Sa self x_surface geom
begin
return zeros tuple 0 0 dtype=float
end function | def Sa(self, x_surface, geom):
return np.zeros((0, 0), dtype=float) | Python | nomic_cornstack_python_v1 |
function __init__ self iface
begin
set iface = iface
set ch = call getChannelByName string gpio
if not ch
begin
raise exception string No gpio channel found, please create on the sending and receive nodes to use this (secured) service (--ch-add gpio --info then --seturl)
end
set channelIndex = index
call subscribe onGP... | def __init__(self, iface):
self.iface = iface
ch = iface.localNode.getChannelByName("gpio")
if not ch:
raise Exception(
"No gpio channel found, please create on the sending and receive nodes to use this (secured) service (--ch-add gpio --info then --seturl)")
... | Python | nomic_cornstack_python_v1 |
comment coding=utf-8
class Facility extends object
begin
comment 房源id
set hid = string
comment 电视
set tv = false
comment 冰箱
set refri = false
comment 空调
set air = false
comment 洗衣机
set wash = false
comment 热水器
set water_heater = false
comment 暖气
set air_heater = false
comment 床
set bed = false
comment 宽带
set wideband ... | # coding=utf-8
class Facility(object):
hid = '' # 房源id
tv = False # 电视
refri = False # 冰箱
air = False # 空调
wash = False # 洗衣机
water_heater = False # 热水器
air_heater = False # 暖气
bed = False # 床
wideband ... | Python | zaydzuhri_stack_edu_python |
with open string all_output_depressing.txt as f
begin
set lines = call splitlines
end
set output_lines = list
with open string ids.txt as f
begin
set ids = call splitlines
end
for i in call xrange 0 length ids
begin
append output_lines lines at integer ids at i
end
with open string all_output_depress_filtered.txt stri... | with open('all_output_depressing.txt') as f:
lines = f.read().splitlines()
output_lines = []
with open('ids.txt') as f:
ids = f.read().splitlines()
for i in xrange(0, len(ids)):
output_lines.append(lines[int(ids[i])])
with open('all_output_depress_filtered.txt', 'w') as f:
for i in xrange(0, len(output_... | Python | zaydzuhri_stack_edu_python |
from unittest.mock import patch , MagicMock
import unittest
from vectorAnalysis.vectorAnalysisModule import Validation
from random import random
from random import randint
from random import randrange
from vectorAnalysis import vectorAnalysisModule
set Validation = Validation
class TestValidaton extends TestCase
begin
... | from unittest.mock import patch, MagicMock
import unittest
from vectorAnalysis.vectorAnalysisModule import Validation
from random import random
from random import randint
from random import randrange
from vectorAnalysis import vectorAnalysisModule
Validation = vectorAnalysisModule.Validation
class TestValidaton(unitte... | Python | zaydzuhri_stack_edu_python |
import re
import cPickle as pickle
set edges = load pickle open string Data/edge.p string rb
comment com_follower_num_list = []
set com_follower_num_dist = dict
set matrix = list
with open string Data/train.txt string r as file
begin
for line in file
begin
set row = find all string [\w']+ line
append matrix row
end
e... | import re
import cPickle as pickle
edges = pickle.load(open("Data/edge.p", "rb"))
# com_follower_num_list = []
com_follower_num_dist = {}
matrix = []
with open("Data/train.txt", 'r') as file:
for line in file:
row = re.findall(r"[\w']+", line)
matrix.append(row)
def check_common_follower(edge):
... | Python | zaydzuhri_stack_edu_python |
function cmd_line_mirror argv=none quiet=false
begin
if argv is none
begin
set argv = argv
end
from docopt import docopt
import pyNastran
set msg = string Usage: bdf mirror IN_BDF_FILENAME [-o OUT_BDF_FILENAME] [--punch] [--plane PLANE] [--tol TOL] bdf mirror IN_BDF_FILENAME [-o OUT_BDF_FILENAME] [--punch] [--plane PLA... | def cmd_line_mirror(argv=None, quiet=False):
if argv is None:
argv = sys.argv
from docopt import docopt
import pyNastran
msg = (
"Usage:\n"
" bdf mirror IN_BDF_FILENAME [-o OUT_BDF_FILENAME] [--punch] [--plane PLANE] [--tol TOL]\n"
" bdf mirror IN_BDF_FILENAME [-o OUT_... | Python | nomic_cornstack_python_v1 |
import sys
set m = list
with open argv at 1 as file
begin
for line in file
begin
append m split strip line string
end
end | import sys
m = []
with open(sys.argv[1]) as file:
for line in file:
m.append(line.strip().split("\t")) | Python | zaydzuhri_stack_edu_python |
function setUp self
begin
set templates = glob glob TEMPLATES
end function | def setUp(self):
self.templates = glob.glob(self.TEMPLATES) | Python | nomic_cornstack_python_v1 |
function make_submission data model path
begin
set counter = 0
set length = length data
set test_predictions = list
comment Data has form of [(id,vec),(id,vec)....]
for instance in data
begin
print string Prog: counter / length * 100
set counter = counter + 1
set id = instance at 0
set vec = instance at 1
set res = pr... | def make_submission(data, model, path):
counter = 0
length= len(data)
test_predictions = []
#Data has form of [(id,vec),(id,vec)....]
for instance in data:
print("Prog: ",(counter/length*100))
counter+=1
id = instance[0]
vec = instance[1]
res = model.predict(v... | Python | nomic_cornstack_python_v1 |
function MakeRequest http http_request retries=7 max_retry_wait=60 redirections=5 retry_func=HandleExceptionsAndRebuildHttpConnections check_response_func=CheckResponse
begin
set retry = 0
set first_req_time = time
while true
begin
try
begin
return call _MakeRequestNoRetry http http_request redirections=redirections ch... | def MakeRequest(http, http_request, retries=7, max_retry_wait=60,
redirections=5,
retry_func=HandleExceptionsAndRebuildHttpConnections,
check_response_func=CheckResponse):
retry = 0
first_req_time = time.time()
while True:
try:
return _Make... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
string コーディング規則 関数を書く上で、単語ごとには必ず大文字にする(前置詞も、冠詞も含む） しかし、変数に関しては、全て小文字にする。 単語ごとにはアンダーバーを入れる （例） URL_Download_To_File Return_Arguments_In_the_Fuction int retrutn_of_arguments = 32;
import review_calculator
import datetime
import google_write
if __name__ == string ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
コーディング規則
関数を書く上で、単語ごとには必ず大文字にする(前置詞も、冠詞も含む）
しかし、変数に関しては、全て小文字にする。
単語ごとにはアンダーバーを入れる
（例）
URL_Download_To_File
Return_Arguments_In_the_Fuction
int retrutn_of_arguments = 32;
'''
import review_calculator
import datetime
import google_write
if __name__ == "__main__":
... | Python | zaydzuhri_stack_edu_python |
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