code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function last_word_dict self rhyme_dict
begin
set scheme = dict 1 string A ; 2 string B ; 3 string A ; 4 string B ; 5 string C ; 6 string D ; 7 string C ; 8 string D ; 9 string E ; 10 string F ; 11 string E ; 12 string F ; 13 string G ; 14 string G
set last_word_dict = dict
string for i in range(1,15): temp = [] if i ... | def last_word_dict(self, rhyme_dict):
scheme = {1: 'A', 2: 'B', 3: 'A', 4: 'B', 5: 'C', 6: 'D', 7: 'C', 8: 'D', 9: 'E', 10: 'F', 11: 'E', 12: 'F', 13: 'G', 14: 'G'}
last_word_dict={}
"""for i in range(1,15):
temp = []
if i in [1,2,5,6,9,10,13]: #lines with a new rhyme
... | Python | nomic_cornstack_python_v1 |
import math
import itertools
function find_factors n
begin
set factors = set
add factors 1
for i in call xrange 2 integer square root n + 1
begin
if n % i == 0
begin
add factors i
add factors n / i
end
end
return factors
end function
set abundant = set
set perfect = set
set deficient = set
for i in call xrange 1 30000
... | import math
import itertools
def find_factors(n):
factors = set()
factors.add(1)
for i in xrange(2,int(math.sqrt(n))+1):
if n % i == 0:
factors.add(i)
factors.add(n/i)
return factors
abundant = set()
perfect = set()
deficient = set()
for i in xrange(1,30000):
sum_for_i = sum(find_factors(... | Python | zaydzuhri_stack_edu_python |
function street_name self
begin
return _street_name
end function | def street_name(self):
return self._street_name | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string ------------------------------------------------- File Name: 一些力扣没有的面试题 Description : Author : amilyxy date： 2020/10/1 -------------------------------------------------
string 1.平方后不重复元素 desc：给定一个有序数组，返回平方之后不重复的元素 nums = [-5,-3,-1,-1,0,1,1,1,2]
comment 双指针方法一：遍历取绝对值最大，记录上一个数
functio... | # -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name: 一些力扣没有的面试题
Description :
Author : amilyxy
date： 2020/10/1
-------------------------------------------------
"""
'''
1.平方后不重复元素
desc：给定一个有序数组，返回平方之后不重复的元素
nums = [-5,-3,-1,-1,0,1,1,1,2]
'''
# 双指针方... | Python | zaydzuhri_stack_edu_python |
set car = 100
set space_in_a_car = 4.0
set drivers = 30
set passengers = 100
set car_not_driven = car - drivers
set average = passengers / drivers
print string There are car_not_driven string cars not driven
print string We have drivers string drivers
print string average passenger: average | car=100
space_in_a_car=4.0
drivers=30
passengers=100
car_not_driven = car - drivers
average=passengers/drivers
print("There are", car_not_driven, "cars not driven")
print("We have", drivers ,"drivers")
print("average passenger: ", average) | Python | zaydzuhri_stack_edu_python |
function filter_content self
begin
set pred = call predict_token_label
set ret = list compress filter lambda token -> not starts with token string < and ends with token string > tokens pred
return ret
end function | def filter_content(self):
pred = self.predict_token_label()
ret = list(itertools.compress(
filter(lambda token:not(token.startswith('<') and token.endswith('>')),self.tokens),
pred))
return ret | Python | nomic_cornstack_python_v1 |
import enum
from abc import ABC
from app.model.exception.exceptions import InvalidTypeException
class TransitionType extends Enum
begin
set Start = tuple 0
set LoginSuccess = tuple 1
set LoginFailure = tuple 2
set CaptchaSuccess = tuple 3
set CaptchaFailure = tuple 4
set SlotOpen = tuple 5
set SlotClose = 6
end class
c... | import enum
from abc import ABC
from app.model.exception.exceptions import InvalidTypeException
class TransitionType(enum.Enum):
Start = 0,
LoginSuccess = 1,
LoginFailure = 2,
CaptchaSuccess = 3,
CaptchaFailure = 4,
SlotOpen = 5,
SlotClose = 6
class AnotherTransitionType(enum.Enum):
... | Python | zaydzuhri_stack_edu_python |
function enable_syslog_logging logger syslog_host syslog_port
begin
comment Standard Library
from logging.handlers import SysLogHandler
add logger call SysLogHandler address=tuple string syslog_host syslog_port format=_FMT_BASIC enqueue=true
debug string Logging to syslog target {}:{} enabled string syslog_host string ... | def enable_syslog_logging(logger, syslog_host, syslog_port):
# Standard Library
from logging.handlers import SysLogHandler
logger.add(
SysLogHandler(address=(str(syslog_host), syslog_port)),
format=_FMT_BASIC,
enqueue=True,
)
logger.debug(
"Logging to syslog target ... | Python | nomic_cornstack_python_v1 |
import json
from tkinter import *
from functools import partial
comment requires tk
set UPDATE_MS = integer 1000 / 6
set buttonLabels = list string BUTTON1 string BUTTON2 string BUTTON3 string BUTTON4 string BUTTON5 string BUTTON6 string RIGHT string UP string DOWN string LEFT
set buttonPlaces = list tuple 376 248 tupl... | import json
from tkinter import *
from functools import partial
#requires tk
UPDATE_MS = int(1000/6)
buttonLabels = ["BUTTON1", "BUTTON2", "BUTTON3", "BUTTON4", "BUTTON5", "BUTTON6", "RIGHT", "UP", "DOWN", "LEFT"]
buttonPlaces = [(376,248), (430,208), (499,210), (564,218), (180,259), (618,355), (418,115), (3... | Python | zaydzuhri_stack_edu_python |
from typing import Dict , Any
class FilaPrioritaria
begin
set codigo = 0
set fila = list
set clientes_atendidos = list
set senha_atual = none
function gera_senha_atual self
begin
set senha_atual = string NM { codigo }
end function
function reseta_fila self
begin
if codigo >= 100
begin
set codigo = 0
end
else
begin
se... | from typing import Dict, Any
class FilaPrioritaria:
codigo = 0
fila = []
clientes_atendidos = []
senha_atual = None
def gera_senha_atual(self) -> None:
self.senha_atual = f'NM{self.codigo}'
def reseta_fila(self) -> None:
if self.codigo >= 100:
self.codigo = 0
... | Python | zaydzuhri_stack_edu_python |
from collections import deque
set dirs = list tuple 0 - 1 tuple 0 1 tuple - 1 0 tuple 1 0
function BFS
begin
set count = 0
set que = deque list tuple 0 0
while que
begin
set tuple i j = call popleft
for d in range 4
begin
if 0 <= i + dirs at d at 0 < N and 0 <= j + dirs at d at 1 < M
begin
if not visit at i + dirs at d... | from collections import deque
dirs = [(0, -1), (0, 1), (-1, 0), (1, 0)]
def BFS():
count = 0
que = deque([(0, 0)])
while que:
i, j = que.popleft()
for d in range(4):
if 0 <= i + dirs[d][0] < N and 0 <= j + dirs[d][1] < M:
if not visit[i + dirs[d][0]][j + dirs[d]... | Python | zaydzuhri_stack_edu_python |
function dfs_iterative graph root
begin
set stack = list root
set V = set
while stack
begin
set current = pop stack
if current not in V
begin
add V current
comment ------ in case of adj_matrix (Comment the below section) ------
for tuple i neighbour in enumerate graph at current
begin
if neighbour == 1 and i not in V
b... | def dfs_iterative(graph, root):
stack = [root]
V = set()
while stack:
current = stack.pop()
if current not in V:
V.add(current)
# ------ in case of adj_matrix (Comment the below section) ------
for i,neighbour in enumerate(graph[current]):
... | Python | zaydzuhri_stack_edu_python |
function calc_duration_rms self duration osc_freq osc_damping m0 m1 m2
begin
del tuple osc_freq osc_damping m0 m1 m2
return duration
end function | def calc_duration_rms(self, duration, osc_freq, osc_damping, m0, m1, m2):
del (osc_freq, osc_damping, m0, m1, m2)
return duration | Python | nomic_cornstack_python_v1 |
function test_update_log caplog mock_empty_os_environ mock_settings_file
begin
set tuple settings_file_path expected = mock_settings_file
set climate = call Climate prefix=string TEST_STUFF settings_files=tuple settings_file_path
assert update_log == string msg string before updating, the update log should be empty
up... | def test_update_log(caplog, mock_empty_os_environ, mock_settings_file):
settings_file_path, expected = mock_settings_file
climate = core.Climate(prefix="TEST_STUFF", settings_files=(settings_file_path,))
assert climate.update_log == "", "before updating, the update log should be empty"
climate.update({"... | Python | nomic_cornstack_python_v1 |
function version_check self
begin
comment anchor_matcher --> matcher
if has attribute self string anchor_matcher
begin
set matcher = anchor_matcher
end
if has attribute self string head_in_features
begin
set in_features = head_in_features
end
if has attribute self string test_topk_candidates
begin
set topk_candidates =... | def version_check(self):
# anchor_matcher --> matcher
if hasattr(self, "anchor_matcher"):
self.matcher = self.anchor_matcher
if hasattr(self, "head_in_features"):
self.in_features = self.head_in_features
if hasattr(self, "test_topk_candidates"):
self.topk_candidates = self.test_t... | Python | nomic_cornstack_python_v1 |
string Utility file to seed postman_routes database data in seed_data/
from sqlalchemy import func
from model import User , Collection , Route , BboxGeometry , EdgesGeometry , NodesGeometry , RouteGeometry
import datetime
from model import connect_to_db , db
from server import app
import json
from werkzeug.security imp... | """Utility file to seed postman_routes database data in seed_data/"""
from sqlalchemy import func
from model import (
User,
Collection,
Route,
BboxGeometry,
EdgesGeometry,
NodesGeometry,
RouteGeometry,
)
import datetime
from model import connect_to_db, db
from server import app
import json
... | Python | zaydzuhri_stack_edu_python |
from random import randint
print string - * 23
print format string {:-^23} string Exercício 074
print string - * 23
set values = tuple random integer 0 10 random integer 0 10 random integer 0 10 random integer 0 10 random integer 0 10
print string Os valores sorteados foram: end=string
for value in values
begin
print v... | from random import randint
print('-' * 23)
print('{:-^23}'.format(' Exercício 074 '))
print('-' * 23)
values = (randint(0, 10), randint(0, 10), randint(0, 10), randint(0, 10), randint(0, 10))
print(f'Os valores sorteados foram: ', end='')
for value in values:
print(value, end=' ')
print(f'\nO maior valor sortea... | Python | zaydzuhri_stack_edu_python |
function difference self
begin
return string baseline
end function | def difference(self):
return "baseline" | Python | nomic_cornstack_python_v1 |
function reset self pingroup=none
begin
try
begin
GPIO
end
except NameError
begin
comment print("GPIO is not defined, the pins were not reset!")
pass
end
try else
begin
comment If None, reset all pins
if pingroup is none
begin
call reset stepper
call reset led
call reset solenoid
end
else
if pingroup == led
begin
comme... | def reset(self,pingroup=None):
try:
GPIO
except NameError:
#print("GPIO is not defined, the pins were not reset!")
pass
else:
if pingroup is None: # If None, reset all pins
self.reset(PINGROUP.stepper)
self.reset(PINGROUP.led)
self.reset(PINGROUP.solenoid)
elif pingroup == PINGROUP.led... | Python | nomic_cornstack_python_v1 |
function choose_mll_class model_class state_dict=none refit=true
begin
comment NOTE: We currently do not support `ModelListGP`. This code block will only
comment be relevant once we support `ModelListGP`.
if state_dict is none or refit and is subclass model_class ModelListGP
begin
return SumMarginalLogLikelihood
end
re... | def choose_mll_class(
model_class: Type[Model],
state_dict: Optional[Dict[str, Tensor]] = None,
refit: bool = True,
) -> Type[MarginalLogLikelihood]:
# NOTE: We currently do not support `ModelListGP`. This code block will only
# be relevant once we support `ModelListGP`.
if (state_dict is None o... | Python | nomic_cornstack_python_v1 |
function test_not_ready_if_insufficient_output_space self
begin
set package = input_ovf
set default_confirm_response = false
comment Make working directory requirements negligible but output huge
with call object command string working_dir_disk_space_required return_value=0 ; call object vm string predicted_output_size... | def test_not_ready_if_insufficient_output_space(self):
self.command.package = self.input_ovf
self.command.ui.default_confirm_response = False
# Make working directory requirements negligible but output huge
with mock.patch.object(self.command,
"working_dir... | Python | nomic_cornstack_python_v1 |
function init_model session model
begin
comment If there is a checkpoint, load it
if not exists gfile train_dir
begin
make directory gfile train_dir
end
set ckpt = call get_checkpoint_state train_dir
if ckpt and call checkpoint_exists model_checkpoint_path
begin
print string Reading model parameters from %s % model_che... | def init_model(session, model):
# If there is a checkpoint, load it
if not tf.gfile.Exists(FLAGS.train_dir):
tf.gfile.MkDir(FLAGS.train_dir)
ckpt = tf.train.get_checkpoint_state(FLAGS.train_dir)
if ckpt and tf.train.checkpoint_exists(ckpt.model_checkpoint_path):
print("Reading model para... | Python | nomic_cornstack_python_v1 |
function get_countries
begin
comment get connection with db
set tuple cnx cur = call connect_to_db
execute cur string SELECT DISTINCT country FROM locations order by country
set lst = call fetchall
close cur
close cnx
return lst
end function | def get_countries():
cnx,cur = connect_to_db() #get connection with db
cur.execute("SELECT DISTINCT country FROM locations order by country")
lst = cur.fetchall()
cur.close()
cnx.close()
return lst | Python | nomic_cornstack_python_v1 |
comment coding="utf-8"
set lst = list 1 1 0 2 2 2 4 3 3 4 2 0 0
set resultList = list
set middleList = list string
set j = string
for i in lst
begin
if i == middleList at - 1
begin
append middleList i
end
else
begin
set middleList = list
append middleList i
append resultList middleList
end
end
print resultList | #coding="utf-8"
lst=[1,1,0,2,2,2,4,3,3,4,2,0,0]
resultList=[]
middleList=['']
j=''
for i in lst:
if i==middleList[-1]:
middleList.append(i)
else:
middleList=[]
middleList.append(i)
resultList.append(middleList)
print(resultList) | Python | zaydzuhri_stack_edu_python |
from tkinter import *
from tkinter import messagebox
import sqlite3
import time
import turtle
import random
class User
begin
function __init__ self username password score
begin
set username = username
set password = password
set score = score
end function
function update_score self high_score
begin
set score = high_sc... | from tkinter import *
from tkinter import messagebox
import sqlite3
import time
import turtle
import random
class User:
def __init__(self,username,password,score):
self.username=username
self.password=password
self.score=score
def update_score(self,high_score):
self.s... | Python | zaydzuhri_stack_edu_python |
function modify self
begin
if on_client_side
begin
return
end
comment get executable
set dbg = prof_orig at string debug at 0
if dbg == string
begin
set dbg = string nodebug
end
if get prof_orig string D typ=string exec
begin
set d_exe = get prof_orig string D typ=string exec at 0
end
else
begin
set d_exe = dict strin... | def modify(self):
if self.on_client_side:
return
# get executable
dbg = self.prof_orig['debug'][0]
if dbg == '':
dbg = 'nodebug'
if self.prof_orig.Get('D', typ='exec'):
d_exe = self.prof_orig.Get('D', typ='exec')[0]
else:
d_... | Python | nomic_cornstack_python_v1 |
from typing import List
class Solution
begin
function coinChange self coins amount
begin
set dp = list comprehension list comprehension decimal string inf for i in range amount + 1 for i in range length coins + 1
comment when making 0 amount, min coins required are 0
set tuple m n = tuple length dp length dp at 0
for i... | from typing import List
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
dp = [[float("inf") for i in range(amount+1)] for i in range(len(coins)+1)]
# when making 0 amount, min coins required are 0
m, n = len(dp), len(dp[0])
for i in range(m):
... | Python | zaydzuhri_stack_edu_python |
function func self
begin
if args
begin
set obj = search strip args
end
else
begin
set obj = obj
end
if not obj
begin
return
end
comment we want an attribute read_text to be defined.
set tastetext = tasteable_text
if tastetext
begin
set string = string You taste |C%s|n: %s % tuple key tastetext
end
else
begin
set string... | def func(self):
if self.args:
obj = self.caller.search(self.args.strip())
else:
obj = self.obj
if not obj:
return
# we want an attribute read_text to be defined.
tastetext = obj.db.tasteable_text
if tastetext:
string = "You... | Python | nomic_cornstack_python_v1 |
function us14_multiple_births repo
begin
set error = list
for fam in values families
begin
set children = fam at string CHIL at string detail
if children != string NA and length children > 5
begin
set date = dict
for child in list children
begin
set child_birth = individuals at child at string BIRT at string detail
i... | def us14_multiple_births(repo):
error = []
for fam in repo.families.values():
children = fam['CHIL']['detail']
if children != 'NA' and len(children) > 5:
date = {}
for child in list(children):
child_birth = repo.individuals[child]['BIRT']['detail']
... | Python | nomic_cornstack_python_v1 |
function setLength self new_length
begin
set length = new_length
end function | def setLength(self, new_length):
self.length = new_length | Python | nomic_cornstack_python_v1 |
import os , hashlib , sys
import requests
set headers = dict string User-Agent string SubDB/1.0 (get_my_subtitle/1.0; http://github.com/mohi7solanki/get-my-subtitle)
function get_hash name
begin
set readsize = 64 * 1024
with open name string rb as f
begin
set size = get size path name
set data = read f readsize
seek f ... | import os, hashlib, sys
import requests
headers = {'User-Agent': 'SubDB/1.0 (get_my_subtitle/1.0; http://github.com/mohi7solanki/get-my-subtitle)'}
def get_hash(name):
readsize = 64 * 1024
with open(name, 'rb') as f:
size = os.path.getsize(name)
data = f.read(readsize)
... | Python | zaydzuhri_stack_edu_python |
class Stack
begin
function __init__ self
begin
set stack = list
end function
function push self data
begin
append stack data
end function
function pop self
begin
if length stack == 0
begin
return - 1
end
return pop stack
end function
function peek self
begin
if length stack == 0
begin
return - 1
end
return stack at - ... | class Stack:
def __init__(self):
self.stack = []
def push(self, data):
self.stack.append(data)
def pop(self):
if len(self.stack) == 0:
return -1
return self.stack.pop()
def peek(self):
if len(self.stack) == 0:
return -1
... | Python | iamtarun_python_18k_alpaca |
comment -*- coding: utf-8 -*-
string Created on Tue Jan 14 12:57:20 2020 @author: Kyle Cheng
import pandas as pd
import time
import os
import numpy as np
comment 计算指定日期指定合约的最后一小时平均持仓量
function last_hour_open_interest date contract
begin
set data = read csv filepath + date + string \ + contract
comment 为了减少运算量，不先对数据的时间进... | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 14 12:57:20 2020
@author: Kyle Cheng
"""
import pandas as pd
import time
import os
import numpy as np
#计算指定日期指定合约的最后一小时平均持仓量
def last_hour_open_interest(date, contract):
data = pd.read_csv(filepath + date + '\\' + contract)
#为了减少运算量，不先对数据的时... | Python | zaydzuhri_stack_edu_python |
import matplotlib.image as mpimg
import sys
set result = list
if length argv == 1
begin
set matrix = list list 1 2 3 4 list 5 6 7 8 list 9 10 11 12
end
else
begin
try
begin
set matrix = call imread argv at 1
end
except FileNotFoundError
begin
print string File does not exist. Try again
exit 0
end
end
comment Get the d... | import matplotlib.image as mpimg
import sys
result = []
if len(sys.argv) == 1:
matrix = [[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12]]
else:
try:
matrix = mpimg.imread(sys.argv[1])
except FileNotFoundError:
print('File does not exist. Try again')
sys.exit(... | Python | zaydzuhri_stack_edu_python |
comment Baum-Sweet Sequence
function bs_sequence range_nr
begin
comment 1 for bin(0)
set result = list 1
set split_numbers = list generator expression list filter lambda x -> x != string split binary number at slice 2 : : string 1 for number in range 1 range_nr + 1
for item in split_numbers
begin
set item = list com... | # Baum-Sweet Sequence
def bs_sequence(range_nr):
result = [1] # 1 for bin(0)
split_numbers = list(
list(filter(lambda x: x != '', bin(number)[2:].split("1"))) for number in range(1, range_nr + 1))
for item in split_numbers:
item = [False for element in item if divmod(len(element), 2)[1] !=... | Python | zaydzuhri_stack_edu_python |
function w2f w
begin
return call as_float_array call w2q w
end function | def w2f(w):
return quat.as_float_array(w2q(w)) | Python | nomic_cornstack_python_v1 |
function save_data filename data
begin
with open filename string wb as out_file
begin
dump data out_file
end
end function | def save_data(filename, data):
with open(filename, "wb") as out_file:
pickle.dump(data, out_file) | Python | nomic_cornstack_python_v1 |
function _combine_forces self F_k F_c F_f
begin
set Frub = F_k at DoF + F_c at DoF + F_f at DoF
set FFrub = F_k + F_c + F_f
return tuple Frub FFrub
end function | def _combine_forces(self, F_k, F_c, F_f):
Frub = F_k[self.DoF] + F_c[self.DoF] + F_f[self.DoF]
FFrub = F_k + F_c + F_f
return Frub, FFrub | Python | nomic_cornstack_python_v1 |
from unittest import TestCase
from model import connect_to_db , db , User , Language , Contact , Message , MessageLang , MessageContact
from server import app
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import server
import subprocess
import MessageController , UserController , sentiment_analysis , ... | from unittest import TestCase
from model import connect_to_db, db, User, Language, Contact, Message, MessageLang, MessageContact
from server import app
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import server
import subprocess
import MessageController, UserController, sentiment_analysis, yandex, se... | Python | zaydzuhri_stack_edu_python |
function publish TopicArn=none TargetArn=none PhoneNumber=none Message=none Subject=none MessageStructure=none MessageAttributes=none
begin
pass
end function | def publish(TopicArn=None, TargetArn=None, PhoneNumber=None, Message=None, Subject=None, MessageStructure=None, MessageAttributes=None):
pass | Python | nomic_cornstack_python_v1 |
string k-means clustering
import numpy as np
import matplotlib.pyplot as plt
import math
function loadDataSet filename
begin
set file = open filename
set dataList = list
for line in read lines file
begin
set lineList = split strip line string
set fltline = map float lineList
append dataList fltline
end
set dataMat = c... | '''
k-means clustering
'''
import numpy as np
import matplotlib.pyplot as plt
import math
def loadDataSet(filename):
file = open(filename)
dataList = []
for line in file.readlines():
lineList = line.strip().split('\t')
fltline = map(float, lineList)
dataList.append(fltline)
dat... | Python | zaydzuhri_stack_edu_python |
comment Code for tutorial found at
comment https://www.wzdftpd.net/blog/python-scripts-in-gdb.html
class PrintGList extends Command
begin
string Glib Glist: wsd_print_glist list objecttpe Iterate through the list if nodes in a Glist and display a human-readable form of the objects.
function __init__ self
begin
call __i... | #Code for tutorial found at
#https://www.wzdftpd.net/blog/python-scripts-in-gdb.html
class PrintGList( gdb.Command ):
"""
Glib Glist: wsd_print_glist list objecttpe
Iterate through the list if nodes in a Glist and display
a human-readable form of the objects.
"""
def __init__( sel... | Python | zaydzuhri_stack_edu_python |
function make_values sv lines
begin
comment browse program lines
for tuple num lig in enumerate lines
begin
comment process conditions and values
comment conditions (unprocessed)
if starts with lig When
begin
comment no surrounding spaces or brackets
set clau = call no_brackets strip lig at slice length When : : Spac... | def make_values(sv, lines):
for num, lig in enumerate(lines): # browse program lines
# process conditions and values
if lig.startswith(When): # conditions (unprocessed)
clau=no_brackets(li... | Python | nomic_cornstack_python_v1 |
function MergeAHEBuffyDetection est_joints8 est_det est_bbox gt_annot ep_arr fr_arr
begin
import iconvnet_datacvt as icvt
import Stickmen
if shape at - 1 != shape at - 1 or shape at - 1 != shape at - 1 or shape at - 1 != shape at - 1 or shape at - 1 != shape at - 1
begin
raise call BuffyError string ep_arr, fr_arr, est... | def MergeAHEBuffyDetection(est_joints8, est_det, est_bbox, gt_annot, ep_arr, fr_arr):
import iconvnet_datacvt as icvt
import Stickmen
if ep_arr.shape[-1] != fr_arr.shape[-1] or \
fr_arr.shape[-1] != est_bbox.shape[-1] or \
fr_arr.shape[-1] != est_det.shape[-1] or \
fr_arr.shape[-1] != est_... | Python | nomic_cornstack_python_v1 |
function re_estimate_transition self x fb_array
begin
with call name_scope string Init_3D_tensor
begin
comment M: v tensor (pg 70): num_states x num_states x num_observations
comment u (pg 70) is the fb_array I think
set M = call Variable zeros tuple N - 1 S S float32
set total_log_prob = call reduce_logsumexp forward_... | def re_estimate_transition(self, x, fb_array):
with tf.name_scope('Init_3D_tensor'):
# M: v tensor (pg 70): num_states x num_states x num_observations
# u (pg 70) is the fb_array I think
self.M = tf.Variable(
tf.zeros(
(self.N - 1, self.S,... | Python | nomic_cornstack_python_v1 |
comment The module which calculates different things related to lists
function sum lis
begin
set sum = 0
for item in lis
begin
set sum = sum + item
end
return sum
end function | #The module which calculates different things related to lists
def sum(lis):
sum = 0
for item in lis:
sum += item
return sum
| Python | zaydzuhri_stack_edu_python |
set n1 = integer input string Enter a number:
set sum = 0
while n1 > 0
begin
set sum = sum + n1
set n1 = n1 - 1
end
print string The sum of first n natural numbers is sum | n1=int(input("Enter a number: "))
sum = 0
while(n1 > 0):
sum=sum+n1
n1=n1-1
print("The sum of first n natural numbers is",sum)
| Python | zaydzuhri_stack_edu_python |
for i in range 100
begin
append My_list i
end
if 10 in My_list
begin
print string yes
end
else
begin
print string no
end | for i in range(100):
My_list.append(i)
if 10 in My_list:
print("yes")
else:
print("no") | Python | zaydzuhri_stack_edu_python |
function lex_string self input_string
begin
comment Isolate & extract:
set intermediate_seq = list dict string string input_string
while length intermediate_seq != 0
begin
set intermediate_seq = call isolate_priority_lexemes intermediate_seq
continue
end
comment Scan & slice:
set lexemes = list
for element in master_s... | def lex_string(self, input_string):
# Isolate & extract:
intermediate_seq = [{'string': input_string}]
while len(intermediate_seq) != 0:
intermediate_seq = self.isolate_priority_lexemes(intermediate_seq)
continue
# Scan & slice:
lexemes = []
... | Python | nomic_cornstack_python_v1 |
function _translate__l3vpn_ntw_vpn_services_vpn_service_vpn_nodes_vpn_node_vpn_network_accesses_vpn_network_access_connection_bearer_pseudowire input_yang_obj translated_yang_obj=none
begin
if call _changed
begin
set vcid = vcid
end
if call _changed
begin
set far_end = far_end
end
return translated_yang_obj
end functio... | def _translate__l3vpn_ntw_vpn_services_vpn_service_vpn_nodes_vpn_node_vpn_network_accesses_vpn_network_access_connection_bearer_pseudowire(
input_yang_obj, translated_yang_obj=None):
if input_yang_obj.vcid._changed():
input_yang_obj.vcid = input_yang_obj.vcid
if input_yang_obj.far_end._changed... | Python | nomic_cornstack_python_v1 |
function test_before_clean__validation_results self
begin
set importer = call SimpleValidationsImporter files at string csv_sheet
call assertEquals ordered dictionary _validation_results
end function | def test_before_clean__validation_results(self):
importer = SimpleValidationsImporter(self.files['csv_sheet'])
self.assertEquals(OrderedDict(), importer._validation_results) | Python | nomic_cornstack_python_v1 |
function restrict s ks strict=0
begin
if is instance s dict
begin
set r = call type s
for k in ks
begin
try
begin
set r at k = s at k
end
except KeyError
begin
if strict
begin
raise
end
end
end
return r
end
if is instance s tuple list tuple basestring
begin
set r = list
for k in ks
begin
try
begin
append r s at k
end
e... | def restrict(s, ks, strict=0):
if isinstance(s, dict):
r = type(s)()
for k in ks:
try:
r[k] = s[k]
except KeyError:
if strict: raise
return r
if isinstance(s, (list, tuple, basestring)):
r = list()
for k in ks:
try:
r.append(s[k])
except IndexError... | Python | nomic_cornstack_python_v1 |
function test_shoppingcart_detail self
begin
comment first we create a customer
set id = call _create_model string customer customer_data list string name string email string phone
if id
begin
comment then we create a product
set id_prod = call _create_model string product product_data list string name string descripti... | def test_shoppingcart_detail(self):
# first we create a customer
id = self._create_model("customer", self.customer_data, ["name", "email", "phone"])
if id:
# then we create a product
id_prod = self._create_model("product", self.product_data, ["name", "description", "image... | Python | nomic_cornstack_python_v1 |
function _bbcomponentwalk self
begin
for tuple path subdirs files in walk call oedir
begin
try
begin
del subdirs at index subdirs string .svn
end
except ValueError
begin
pass
end
for file in files
begin
set tuple pf ext = call splitext file
if ext == string .bb
begin
yield call partition string _ at 0
end
end
end
end f... | def _bbcomponentwalk(self):
for path, subdirs, files in os.walk(self.oedir()):
try:
del subdirs[subdirs.index('.svn')]
except ValueError:
pass
for file in files:
pf, ext = os.path.splitext(file)
... | Python | nomic_cornstack_python_v1 |
function is_set_max_noutput_items self
begin
return call atsc_equalizer_sptr_is_set_max_noutput_items self
end function | def is_set_max_noutput_items(self):
return _atsc_swig.atsc_equalizer_sptr_is_set_max_noutput_items(self) | Python | nomic_cornstack_python_v1 |
import bz2
import gzip
comment compression pretty straightforward with bz2 and gzip modules
comment gzip compression
with open string somefile.gz string rt as f
begin
set text = read f
end
comment bz2 compression
with open string somefile.bz2 string rt as f
begin
set text = read f
end
comment gzip compression
with open... | import bz2
import gzip
# compression pretty straightforward with bz2 and gzip modules
# gzip compression
with gzip.open('somefile.gz', 'rt') as f:
text = f.read()
# bz2 compression
with bz2.open('somefile.bz2', 'rt') as f:
text = f.read()
# gzip compression
with gzip.open('somefile.gz', 'wt') as f:
f.wri... | Python | zaydzuhri_stack_edu_python |
function reproject_raster res src_epsg dst_epsg
begin
set src_name = string res_ { res } _epsg_ { src_epsg }
set src_path = join path src_name string { src_name } .tif
with open src_path as src
begin
set dst_crs = string epsg: { dst_epsg }
set tuple transform width height = call calculate_default_transform crs dst_crs ... | def reproject_raster(res: int, src_epsg: int, dst_epsg: int) -> None:
src_name = f"res_{res}_epsg_{src_epsg}"
src_path = os.path.join(src_name, f"{src_name}.tif")
with rio.open(src_path) as src:
dst_crs = f"epsg:{dst_epsg}"
transform, width, height = calculate_default_transform(
... | Python | nomic_cornstack_python_v1 |
function __init__ self event_type=none pool_id=none id_lt=none id_lte=none id_gt=none id_gte=none created_lt=none created_lte=none created_gt=none created_gte=none
begin
Ellipsis
end function | def __init__(
self,
event_type: typing.Optional[toloka.client.webhook_subscription.WebhookSubscription.EventType] = None,
pool_id: typing.Optional[str] = None,
id_lt: typing.Optional[str] = None,
id_lte: typing.Optional[str] = None,
id_gt: typing.Optional[str] = None,
... | Python | nomic_cornstack_python_v1 |
async function github self ctx
begin
await call send string https://github.com/nick411077/nickcan_bot
end function | async def github(self, ctx):
await ctx.send('https://github.com/nick411077/nickcan_bot') | Python | nomic_cornstack_python_v1 |
string Tipos de dados str - Strings - textos 'texto' "Texto" int - inteiro - qualquer numero negativo ou potivo ou zero 10 20 -30 0 flout - real/ponto flutuante - 10.50 1.5 15.2 2.1 bool - boolean - True/False
comment retorna o type
print string texto type string texto
comment retorna o type
print 10 type 10
comment re... | """
Tipos de dados
str - Strings - textos 'texto' "Texto"
int - inteiro - qualquer numero negativo ou potivo ou zero 10 20 -30 0
flout - real/ponto flutuante - 10.50 1.5 15.2 2.1
bool - boolean - True/False
"""
print('texto',type('texto')) # retorna o type
print(10,type(10)) # retorna o type
pr... | Python | zaydzuhri_stack_edu_python |
function fileMetamodel cls filename
begin
try
begin
set extension = call splitext filename at 1
return call theMetamodel ext=extension
end
comment raise except:TODO:4
except UnexpectedValue
begin
return none
end
end function | def fileMetamodel(cls, filename: str) -> Any:
try:
extension = os.path.splitext(filename)[1]
return cls.theMetamodel(ext=extension)
except UnexpectedValue: # raise except:TODO:4
return None | Python | nomic_cornstack_python_v1 |
function jmodesdct jcnt nmodes=20
begin
set l = size np jcnt
set jk = call dct jcnt type=2 norm=string ortho
for i in call xrange length jk
begin
if i == 0
begin
set jk at i = jk at i * square root 1.0 / 4.0 * l
end
else
begin
set jk at i = jk at i * square root 1.0 / 2.0 * l
end
end
return jk
end function | def jmodesdct(jcnt, nmodes=20):
l = np.size(jcnt)
jk = dct(jcnt, type=2, norm='ortho')
for i in xrange(len(jk)):
if i == 0:
jk[i] *= np.sqrt(1.0 / (4.0 * l))
else:
jk[i] *= np.sqrt(1.0 / (2.0 * l))
return jk | Python | nomic_cornstack_python_v1 |
import collections
string Counter是对字典类型的补充，用于追踪值的出现次数，具备字典的所有功能 + 自己的功能
set a = string abababsbsbhh
comment 直接列出每个元素出现了几次，传入列表和元组也一样
set c = counter a
print c
comment 输出：Counter({'b': 5, 'a': 3, 'h': 2, 's': 2})
comment most_common 列出Counter内的前几个
print call most_common
print call most_common 1
print call most_common 3
... | import collections
'''
Counter是对字典类型的补充，用于追踪值的出现次数，具备字典的所有功能 + 自己的功能
'''
a='abababsbsbhh'
c=collections.Counter(a) #直接列出每个元素出现了几次，传入列表和元组也一样
print(c)
#输出：Counter({'b': 5, 'a': 3, 'h': 2, 's': 2})
#most_common 列出Counter内的前几个
print(c.most_common())
print(c.most_common(1))
print(c.most_common(3))
'''... | Python | zaydzuhri_stack_edu_python |
function evaluate all
begin
string Evaluete expressions with prefix operands :param l: A given list whit to operands for each operator :return: Result number of eval
function is_operator op
begin
string Determinate if is a string is operator or not :param op: A string operand/operator :return: True if operator, False o... | def evaluate(all):
"""
Evaluete expressions with prefix operands
:param l: A given list whit to operands for each operator
:return: Result number of eval
"""
def is_operator(op):
"""
Determinate if is a string is operator or not
:param op: A string operand/operator
... | Python | zaydzuhri_stack_edu_python |
string 20. Valid Parentheses https://leetcode.com/problems/valid-parentheses/
class Solution
begin
function isValid self s
begin
string :type s: str :rtype: bool
comment Remove whitespace
set s = replace s string string
set parentheses_pairs = list string () string [] string {}
set is_valid = true
set l_previous = len... | """
20. Valid Parentheses
https://leetcode.com/problems/valid-parentheses/
"""
class Solution:
def isValid(self, s):
"""
:type s: str
:rtype: bool
"""
s = s.replace(' ', '') # Remove whitespace
parentheses_pairs = ['()', '[]', '{}']
is_valid = True
... | Python | zaydzuhri_stack_edu_python |
function parse_history_snapshot self
begin
if not history_snapshot
begin
return dict
end
if 1 != length history_snapshot
begin
raise call ValueError string Expected history snapshot with one entry only
end
set first_item = history_snapshot at 0
return dict string baseline_accuracy call extract_accuracy get first_item ... | def parse_history_snapshot(self) -> dict:
if not self.history_snapshot:
return {}
if 1 != len(self.history_snapshot):
raise ValueError("Expected history snapshot with one entry only")
first_item = self.history_snapshot[0]
return {
"baseline_accuracy"... | Python | nomic_cornstack_python_v1 |
function __add_credit_menu self
begin
debug string Displaying __add_credit_menu
comment Create a payment methods keyboard
set keyboard = list
comment Add the supported payment methods to the keyboard
comment Cash
append keyboard list call KeyboardButton get loc string menu_cash
comment Telegram Payments
if ccard at str... | def __add_credit_menu(self):
log.debug("Displaying __add_credit_menu")
# Create a payment methods keyboard
keyboard = list()
# Add the supported payment methods to the keyboard
# Cash
keyboard.append([telegram.KeyboardButton(self.loc.get("menu_cash"))])
# Telegram... | Python | nomic_cornstack_python_v1 |
function time self
begin
return get pulumi self string time
end function | def time(self) -> Optional[str]:
return pulumi.get(self, "time") | Python | nomic_cornstack_python_v1 |
function get_instance_state instance_id region=DEFAULT_REGION
begin
set instance = call get_instance_from_id instance_id region
return instance at string State at string Name
end function | def get_instance_state(instance_id, region=DEFAULT_REGION):
instance = get_instance_from_id(instance_id, region)
return instance["State"]["Name"] | Python | nomic_cornstack_python_v1 |
function dgTimerReset self
begin
pass
end function | def dgTimerReset(self):
pass | Python | nomic_cornstack_python_v1 |
function get_enum_key key choices
begin
string Get an enum by prefix or equality
if key in choices
begin
return key
end
set keys = list comprehension k for k in choices if starts with k key
if length keys == 1
begin
return keys at 0
end
end function | def get_enum_key(key, choices):
""" Get an enum by prefix or equality """
if key in choices:
return key
keys = [k for k in choices if k.startswith(key)]
if len(keys) == 1:
return keys[0] | Python | jtatman_500k |
comment 此处实现了一个拖拽操作，动作链还包括键盘按键
from selenium import webdriver
from selenium.webdriver import ActionChains
set browser = call Chrome
set url = string http://www.runoob.com/try/try.php?filename=jqueryui-api-droppable
get browser url
call frame string iframeResult
comment 找到要拖拽的节点
set source = call find_element_by_css_sel... | # 此处实现了一个拖拽操作，动作链还包括键盘按键
from selenium import webdriver
from selenium.webdriver import ActionChains
browser = webdriver.Chrome()
url = 'http://www.runoob.com/try/try.php?filename=jqueryui-api-droppable'
browser.get(url)
browser.switch_to.frame('iframeResult')
source = browser.find_element_by_css_selector('#dra... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Thu Jul 9 15:09:27 2020 @author: Nikita
import numpy as np
import random
function randMatrix m n
begin
set a = reshape array range m * n m n
for i in range m
begin
for j in range n
begin
set a at i at j = random integer 0 1
end
end
return a
end function
function transA a ... | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 9 15:09:27 2020
@author: Nikita
"""
import numpy as np
import random
def randMatrix(m,n):
a = np.arange(m*n).reshape(m,n)
for i in range(m):
for j in range(n):
a[i][j] = random.randint(0,1)
return a
def transA(a,m,n):
trA = np.aran... | Python | zaydzuhri_stack_edu_python |
function test_basic_operations_with_assignee self
begin
comment Admin adds reader as an assignee
call set_user users at string admin
set response = call _post_relationship users at string reader id
assert equal status_code 201
comment Reader is now allowed to update the object
call set_user users at string reader
set r... | def test_basic_operations_with_assignee(self):
# Admin adds reader as an assignee
self.api.set_user(self.users["admin"])
response = self._post_relationship(self.users["reader"], self.obj.id)
self.assertEqual(response.status_code, 201)
# Reader is now allowed to update the object
self.api.set_u... | Python | nomic_cornstack_python_v1 |
function soak_time_increment self
begin
set str_soak_time = call cget string text
set soak_time = integer str_soak_time
set soak_time = soak_time + 1
call configure text=string soak_time
call reset_timer
end function | def soak_time_increment(self):
str_soak_time = self.soak_time_disp.cget('text')
soak_time = int(str_soak_time)
soak_time += 1
self.soak_time_disp.configure(text=str(soak_time))
self.reset_timer() | Python | nomic_cornstack_python_v1 |
function tearDown self
begin
pass
end function | def tearDown(self):
pass | Python | nomic_cornstack_python_v1 |
function make_cone self coords vertex direction name=string None
begin
set cent = mean np coords axis=0
comment axis = np.mean(coords - vertex, axis=0) * self.scale_height
set height = norm cent - vertex * scale_height
set cos = dot coords - vertex direction / norm coords axis=1 * norm direction
set angle = median call... | def make_cone(self, coords, vertex, direction, name='None'):
cent = np.mean(coords, axis=0)
#axis = np.mean(coords - vertex, axis=0) * self.scale_height
height = np.linalg.norm(cent - vertex) * self.scale_height
cos = np.dot(coords - vertex, direction) / (np.linalg.norm(coords, axis=1) ... | Python | nomic_cornstack_python_v1 |
from flask_wtf import FlaskForm
from wtforms import StringField , SelectField , IntegerField
from wtforms.validators import InputRequired , DataRequired , Email
class InfoForm extends FlaskForm
begin
set item = call StringField string Item you want to buy validators=list call InputRequired
set cost = call IntegerField ... | from flask_wtf import FlaskForm
from wtforms import StringField, SelectField, IntegerField
from wtforms.validators import InputRequired, DataRequired, Email
class InfoForm(FlaskForm):
item = StringField('Item you want to buy', validators=[InputRequired()])
cost = IntegerField('Cost', validators=[
... | Python | zaydzuhri_stack_edu_python |
function state self
begin
set now = now
if start < now
begin
if end > now
begin
if enrollment_end > now
begin
return string is_open
end
return string is_ongoing
end
return string is_archived
end
else
if enrollment_start > now
begin
return string is_coming
end
else
if enrollment_end > now
begin
return string is_open
end... | def state(self):
now = timezone.now()
if self.start < now:
if self.end > now:
if self.enrollment_end > now:
return "is_open"
return "is_ongoing"
return "is_archived"
elif self.enrollment_start > now:
return "... | Python | nomic_cornstack_python_v1 |
function set_option self name value
begin
set _options at name = value
end function | def set_option(self, name, value):
self._options[name] = value | Python | nomic_cornstack_python_v1 |
import paho.mqtt.client as paho
import logging
import datetime
import MySQLdb
call basicConfig filename=string example.log filemode=string w level=INFO | import paho.mqtt.client as paho
import logging
import datetime
import MySQLdb
logging.basicConfig(filename='example.log', filemode='w', level=logging.INFO)
| Python | zaydzuhri_stack_edu_python |
from mcpi.minecraft import Minecraft
import cv2
import numpy as np
set face_cascade = call CascadeClassifier string C:\Users\86183\AppData\Roaming\Python\Python38\site-packages\cv2\data\haarcascade_frontalface_default.xml
set cap = call VideoCapture 0
set mc = call create
set position = call getPos
call postToChat stri... | from mcpi.minecraft import Minecraft
import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier("C:\\Users\\86183\\AppData\\Roaming\\Python\\Python38\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml")
cap = cv2.VideoCapture(0)
mc = Minecraft.create()
position = mc.player.getPos()
mc.pos... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import Tkinter as tk
comment DrawBox.py
import DrawBox as drbx
set window = call Tk
title window string 行李放置
comment 視窗大小
call geometry string 200x60
comment 執行DrawBox.py 中的 run_plot
function run_pack
begin
call run_plot
end function
comment def run_optpack(): #執行DrawBox.py 中的 run_plot
com... | # -*- coding: utf-8 -*-
import Tkinter as tk
import DrawBox as drbx #DrawBox.py
window=tk.Tk()
window.title('行李放置')
window.geometry('200x60') #視窗大小
#
def run_pack(): #執行DrawBox.py 中的 run_plot
drbx.run_plot()
# def run_optpack(): #執行DrawBox.py 中的 run_plot
# drbx.run_optplot()
b = tk.Button(window, te... | Python | zaydzuhri_stack_edu_python |
function forward self input
begin
return call updateOutput input
end function | def forward(self, input):
return self.updateOutput(input) | Python | nomic_cornstack_python_v1 |
import numpy as np
class Output
begin
function __init__ self name pointed_variable simulation
begin
set name = name
set pointed_variable = pointed_variable
set values = zeros 0
set simulation = simulation
end function
function get_values self
begin
return values
end function
function print self
begin
set value = eval s... | import numpy as np
class Output:
def __init__(self, name, pointed_variable, simulation):
self.name = name
self.pointed_variable = pointed_variable
self.values = np.zeros(0)
self.simulation = simulation
def get_values(self):
return self.values
def print(self):
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Sat Apr 28 20:07:01 2018 @author: David
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
set Datei1 = call genfromtxt string CO.txt dtype=float comments=string #
set Datei2 = call genfromtxt string CO30.txt dtype=float comments=strin... | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 28 20:07:01 2018
@author: David
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
Datei1 = np.genfromtxt("CO.txt",dtype=float, comments='#')
Datei2 = np.genfromtxt("CO30.txt",dtype=float,comments='#')
Datei3 = np.genfromtxt("HC... | Python | zaydzuhri_stack_edu_python |
comment Input firstname
set name = input string Enter your username:
if length name < 4
begin
print string Username is invalid: Too short - must have between 4 and 8 alphanumeric characters
end
else
if length name > 8
begin
print string Username is invalid: Too long - must have between 4 and 8 alphanumeric characters
e... | # Input firstname
name = input("Enter your username: ")
if len(name) < 4:
print("Username is invalid:\n Too short - must have between 4 and 8 alphanumeric characters")
elif len(name) > 8:
print("Username is invalid:\n Too long - must have between 4 and 8 alphanumeric characters")
elif not name[0].islower():
... | Python | zaydzuhri_stack_edu_python |
function get_sparsity self excludes=list
begin
return list comprehension call get_sparsity excludes for layer in layers
end function | def get_sparsity(self, excludes=[]):
return [layer.get_sparsity(excludes) for layer in self.layers] | Python | nomic_cornstack_python_v1 |
function standard_cauchy random_state size=none chunk_size=none gpu=none dtype=none
begin
if dtype is none
begin
set dtype = dtype
end
set size = call _handle_size size
set seed = call gen_random_seeds 1 call to_numpy at 0
set op = call TensorStandardCauchy size=size seed=seed gpu=gpu dtype=dtype
return call op chunk_s... | def standard_cauchy(random_state, size=None, chunk_size=None, gpu=None, dtype=None):
if dtype is None:
dtype = np.random.RandomState().standard_cauchy(size=(0,)).dtype
size = random_state._handle_size(size)
seed = gen_random_seeds(1, random_state.to_numpy())[0]
op = TensorStandardCauchy(size=siz... | Python | nomic_cornstack_python_v1 |
function select_all_tasks self conn cmd
begin
set cur = call cursor
execute cur cmd
comment cur.execute("PRAGMA table_info(deploys)")
set rows = call fetchall
return rows
end function | def select_all_tasks(self, conn, cmd):
cur = conn.cursor()
cur.execute(cmd)
# cur.execute("PRAGMA table_info(deploys)")
rows = cur.fetchall()
return rows | Python | nomic_cornstack_python_v1 |
import json
with open string example.json string w as f
begin
dump dict string key string value f
end
comment Code executed. | import json
with open('example.json', 'w') as f:
json.dump({'key': 'value'}, f)
# Code executed.
| Python | flytech_python_25k |
function set_status_installed
begin
set fd = open INSTALLER_PATH + string /.installed string w
close fd
end function | def set_status_installed():
fd = open(settings.INSTALLER_PATH+"/.installed", "w")
fd.close() | Python | nomic_cornstack_python_v1 |
function standardize_input_data data names shapes=none check_batch_axis=true exception_prefix=string
begin
try
begin
set data_len = length data
end
except TypeError
begin
comment For instance if data is `None` or a symbolic Tensor.
set data_len = none
end
if not names
begin
if data_len and not is instance data dict
beg... | def standardize_input_data(data,
names,
shapes=None,
check_batch_axis=True,
exception_prefix=''):
try:
data_len = len(data)
except TypeError:
# For instance if data is `None` or a symbolic Tensor.
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment python 3
comment Matthew J Neave 6.5.2014
comment extract sequences using a list of IDs
comment input fasta first, then seq IDs, then a name for the output
comment modification: only unique genes are written
comment this will only write the first transcript isoform, from Trinity out... | #!/usr/bin/env python
# python 3
# Matthew J Neave 6.5.2014
# extract sequences using a list of IDs
# input fasta first, then seq IDs, then a name for the output
# modification: only unique genes are written
# this will only write the first transcript isoform, from Trinity output
import sys
from Bio import SeqIO
fas... | Python | zaydzuhri_stack_edu_python |
function html_form
begin
global usr
call html_start
if notice_string or error_string or okay_string
begin
print string <table align=center id=msgs><tr><td>
if error_string
begin
print string <span id=warn>%s</span> % replace error_string string string <br>
end
if notice_string
begin
print string <span id=notice>%s</sp... | def html_form():
global usr
html_start()
if notice_string or error_string or okay_string:
print("<table align=center id=msgs><tr><td>")
if error_string:
print("<span id=warn>%s</span>" % error_string.replace(
'\n', '<br>\n'))
if notice_string:
... | Python | nomic_cornstack_python_v1 |
comment This script can generate example data for "city" and "InterviewSlot" models.
from models import *
class GenerateData
begin
decorator staticmethod
function add_schools schools
begin
comment from models import School
for school in schools
begin
call create name=school at string name location=school at string loca... | # This script can generate example data for "city" and "InterviewSlot" models.
from models import *
class GenerateData:
@staticmethod
def add_schools(schools):
# from models import School
for school in schools:
School.create(name=school['name'], location=school['location'])
@... | Python | zaydzuhri_stack_edu_python |
function TuptoDict tupe d
begin
for tuple a b in tupe
begin
append set default d a list b
end
return d
end function
set tup_input = list tuple string John tuple string Physics 80 tuple string Daniel tuple string Science 90 tuple string John tuple string Science 95 tuple string Mark tuple string Maths 100 tuple string D... | def TuptoDict(tupe, d):
for a, b in tupe:
d.setdefault(a, []).append(b)
return d
tup_input = [( "John", ("Physics", 80)), ("Daniel", ("Science", 90)),
("John", ("Science", 95)), ("Mark",("Maths", 100)), ("Daniel", ("History", 75)), ("Mark", ("Social", 95))]
dict1 = {}
dict2 = {}
dict2 = TuptoDict(tup_input, ... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from numpy import fft
function biginteger_mul a b
begin
set a = array list comprehension integer i for i in a
set b = array list comprehension integer i for i in b
comment 首先对齐
set sz = length a + length b
set a = call pad a tuple sz - length a 0 at slice : : - 1
set b = call pad b tuple sz - lengt... | import numpy as np
from numpy import fft
def biginteger_mul(a: str, b: str) -> str:
a = np.array([int(i) for i in a])
b = np.array([int(i) for i in b])
# 首先对齐
sz = len(a) + len(b)
a = np.pad(a, (sz - len(a), 0))[::-1]
b = np.pad(b, (sz - len(b), 0))[::-1]
aa = fft.fft(a)
bb = fft.fft(b... | Python | zaydzuhri_stack_edu_python |
function add_numbers
begin
set summation = 0
while true
begin
try
begin
set number = input string Please enter an integer to add (or type 'stop' to exit):
if lower number == string stop
begin
break
end
else
begin
set number = integer number
set summation = summation + number
end
end
except ValueError
begin
print string... | def add_numbers():
summation = 0
while True:
try:
number = input("Please enter an integer to add (or type 'stop' to exit): ")
if number.lower() == "stop":
break
else:
number = int(number)
summation += number
exce... | Python | flytech_python_25k |
function data_factory_id self
begin
return get pulumi self string data_factory_id
end function | def data_factory_id(self) -> pulumi.Input[str]:
return pulumi.get(self, "data_factory_id") | Python | nomic_cornstack_python_v1 |
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