code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function comparison op
begin
function comp *args
begin
if args
begin
set item = args at 0
for o in args at slice 1 : :
begin
if call op item o
begin
set item = o
end
else
begin
return call Boolean false
end
end
return call Boolean true
end
else
begin
return call Boolean true
end
end function
return comp
end function | def comparison(op):
def comp(*args):
if args:
item = args[0]
for o in args[1:]:
if op(item, o):
item = o
else:
return Boolean(False)
return Boolean(True)
else:
return Boolean(True)... | Python | nomic_cornstack_python_v1 |
import requests
import datetime
function refresh_stores
begin
string Refreshes stores for shipstation api
set api_key = string db35920edb384162bbecd52d40a7a781
set api_secret = string d6b01ee7d5074ce29243e9fd07c71763
set store_ids = list 222824 222533 251496 246700 230923
set today = today
set refresh_date = string for... | import requests
import datetime
def refresh_stores():
''' Refreshes stores for shipstation api '''
api_key = 'db35920edb384162bbecd52d40a7a781'
api_secret = 'd6b01ee7d5074ce29243e9fd07c71763'
store_ids = [222824, 222533, 251496, 246700, 230923]
today = datetime.date.today()
refresh_date = to... | Python | zaydzuhri_stack_edu_python |
comment print("---------------------- 1 ----------------------")
comment for i in range(17):
comment print("{0:>2} in binary is {0:08b}".format(i))
comment print("---------------------- 2 ----------------------")
comment # It seems using {0:08x} will print eight zeros for the hexadecimal ("x") type of numbers..
comment... | #
# print("---------------------- 1 ----------------------")
# for i in range(17):
# print("{0:>2} in binary is {0:08b}".format(i))
#
# print("---------------------- 2 ----------------------")
# # It seems using {0:08x} will print eight zeros for the hexadecimal ("x") type of numbers..
# # using {0:8x} will just give ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
string This is the (GUI) server-side of a server/client application in which the client can create a number of sub-clients. Each client will have its own socket, running on its own thread. The server will then listen infinitely to each client, allowing them to ... | # !/usr/bin/env python
# -*- coding: utf-8 -*-
""" This is the (GUI) server-side of a server/client application in which the client can
create a number of sub-clients. Each client will have its own socket, running on its own
thread. The server will then listen infinitely to each client, allowing them to upload message... | Python | zaydzuhri_stack_edu_python |
for i in range 30
begin
set next_element = string
set symbol_last = string
for tuple n symbol in enumerate my_list at i + string _
begin
if symbol_last == symbol
begin
set symbol_cnt = symbol_cnt + 1
end
else
begin
if n != 0
begin
set next_element = next_element + string symbol_cnt + symbol_last
end
set symbol_last =... | for i in range(30):
next_element = ''
symbol_last = ''
for n, symbol in enumerate(my_list[i] + '_'):
if symbol_last == symbol:
symbol_cnt += 1
else:
if n != 0:
next_element += str(symbol_cnt) + symbol_last
symbol_last = symbol
s... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
import plotly.graph_objs as go
import chart_studio.plotly as py
import sys
import matplotlib.pyplot as plt
from pandas import DataFrame
from plotly.graph_objs import *
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.cluster impor... | import pandas as pd
import numpy as np
import plotly.graph_objs as go
import chart_studio.plotly as py
import sys
import matplotlib.pyplot as plt
from pandas import DataFrame
from plotly.graph_objs import *
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.cluster impor... | Python | zaydzuhri_stack_edu_python |
function search_photo_page albumID
begin
set query = get args string query none
set response = call scan FilterExpression=call contains query ? call contains query ? call contains query ? call contains query
set results = response at string Items
set items = list
for item in results
begin
if item at string photoID != ... | def search_photo_page(albumID):
query = request.args.get('query', None)
response = table.scan(FilterExpression=Attr('title').contains(query) | Attr('description').contains(query) | Attr('tags').contains(query) | Attr('EXIF').contains(query))
results = response['Items']
items=[]
for item in re... | Python | nomic_cornstack_python_v1 |
comment 🚨 Don't change the code below 👇
print string Welcome to the Love Calculator!
set name1 = input string What is your name?
set name2 = input string What is their name?
comment 🚨 Don't change the code above 👆
comment Write your code below this line 👇
set name1 = lower name1
set name2 = lower name2
set LOVE = ... | # 🚨 Don't change the code below 👇
print("Welcome to the Love Calculator!")
name1 = input("What is your name? \n")
name2 = input("What is their name? \n")
# 🚨 Don't change the code above 👆
#Write your code below this line 👇
name1 = name1.lower()
name2 = name2.lower()
LOVE = name1.count("l") + name1.count("o") + na... | Python | zaydzuhri_stack_edu_python |
function _parse_response self future response
begin
if error
begin
warning string HTTP error from Github get user: %s error
call set_exception call AuthError string Github auth get user info error: %s % string response
return
end
try
begin
set json = call json_decode body
end
except Exception
begin
warning string Inval... | def _parse_response(self, future, response):
if response.error:
logging.warning("HTTP error from Github get user: %s", response.error)
future.set_exception(AuthError('Github auth get user info error: %s' % str(response)))
return
try:
json = tornado.escape.... | Python | nomic_cornstack_python_v1 |
comment Created using Python 3.4.1
import datetime
import pytz
set starter = call localize call datetime 2015 10 21 23 29
function to_timezone timezone_name
begin
string This function takes a timezone as a user input and converts the starter time to that timezone
set new_timezone = call timezone timezone_name
return ca... | # Created using Python 3.4.1
import datetime
import pytz
starter = pytz.utc.localize(datetime.datetime(2015, 10, 21, 23, 29))
def to_timezone(timezone_name):
"""
This function takes a timezone as a user input
and converts the starter time to that timezone
"""
new_timezone = pytz.timezone(timezone_name)
... | Python | zaydzuhri_stack_edu_python |
comment Download the file ert547_hw5.py; Open the file in Spyder; Run the code by clicking the “Run” button
import matplotlib.pyplot as plt
import numpy as np
from math import sqrt
import pdb
from csv import reader
from random import seed
from random import randrange
from sklearn import linear_model
from sklearn.metric... | #Download the file ert547_hw5.py; Open the file in Spyder; Run the code by clicking the “Run” button
import matplotlib.pyplot as plt
import numpy as np
from math import sqrt
import pdb
from csv import reader
from random import seed
from random import randrange
from sklearn import linear_model
from sklearn.metrics impor... | Python | zaydzuhri_stack_edu_python |
from itertools import permutations
function possible_permutations seq
begin
for nums in permutations seq
begin
yield list nums
end
end function
for n in call possible_permutations list 1 2 3
begin
print n
end | from itertools import permutations
def possible_permutations(seq: list):
for nums in permutations(seq):
yield list(nums)
for n in possible_permutations([1, 2, 3]):
print(n)
| Python | zaydzuhri_stack_edu_python |
function find_triplet array target
begin
comment Iterate through the array from index 0 to len(array) - 3
for i in range length array - 2
begin
comment Check if the sum of current element and next two elements equals the target
if array at i + array at i + 1 + array at i + 2 == target
begin
comment Return the indices o... | def find_triplet(array, target):
# Iterate through the array from index 0 to len(array) - 3
for i in range(len(array) - 2):
# Check if the sum of current element and next two elements equals the target
if array[i] + array[i+1] + array[i+2] == target:
# Return the indices of the tripl... | Python | jtatman_500k |
function create_account
begin
set email = input string Enter your email
set password = input string Enter your password
if email in Email
begin
print string There is an existing account with this email
call transaction
end
else
begin
append Email email
print string Account successfully created
end
end function
function... | def create_account():
email = input("Enter your email\n")
password = input("Enter your password")
if email in Email:
print("There is an existing account with this email")
transaction()
else:
Email.append(email)
print("Account successfully created")
def transaction():
... | Python | zaydzuhri_stack_edu_python |
function quarantine_replicas args
begin
set client = call get_client args
set chunk = list
comment send requests in chunks
set chunk_size = 1000
set rse = rse
if paths_list
begin
set replicas_list = paths_list
end
else
begin
comment will iterate over file lines
set replicas_list = open paths_file string r
end
for line... | def quarantine_replicas(args):
client = get_client(args)
chunk = []
# send requests in chunks
chunk_size = 1000
rse = args.rse
if args.paths_list:
replicas_list = args.paths_list
else:
replicas_list = open(args.paths_file, "r") # will iterate over file lines
for li... | Python | nomic_cornstack_python_v1 |
function user_present username
begin
if count filter username=username
begin
return true
end
return false
end function | def user_present(username):
if User.objects.filter(username=username).count():
return True
return False | Python | nomic_cornstack_python_v1 |
function get self geocoder_type=none
begin
if geocoder_type is none
begin
set geocoder_type = DEFAULT_GEOCODER_TYPE
end
if geocoder_type not in types
begin
raise error string Invalid GeoCoder type [%s] % geocoder_type
end
return get attribute geocoder geocoder_type
end function | def get(self, geocoder_type=None):
if geocoder_type is None:
geocoder_type = DEFAULT_GEOCODER_TYPE
if geocoder_type not in self.types:
raise Error('Invalid GeoCoder type [%s]' % geocoder_type)
return getattr(geocoder, geocoder_type) | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
import numpy as np
set dataset = call from_tensor_slices array list 1 2 3 4 5 dtype=int32
for i in dataset
begin
print call numpy
end
comment it = iter(dataset)
comment for i in dataset:
comment print(it.next().numpy())
print call numpy | import tensorflow as tf
import numpy as np
dataset = tf.data.Dataset.from_tensor_slices(np.array([1, 2, 3, 4, 5], dtype=np.int32))
for i in dataset:
print(i.numpy())
# it = iter(dataset)
# for i in dataset:
# print(it.next().numpy())
print(dataset.reduce(0, lambda state, value: state + value).numpy())
| Python | zaydzuhri_stack_edu_python |
function parse_programme self elem
begin
set programme = call elem_to_programme elem
set programme at string start_timestamp = call timegm call utctimetuple
set programme at string stop_timestamp = call timegm call utctimetuple
debug string Programme: %s programme
return programme
end function | def parse_programme(self, elem):
programme = xmltv.elem_to_programme(elem)
programme['start_timestamp'] = calendar.timegm(XMLTV.parse_date_tz(programme['start']).utctimetuple())
programme['stop_timestamp'] = calendar.timegm(XMLTV.parse_date_tz(programme['stop']).utctimetuple())
self.logg... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
print string Bienvenido, este programa verifica si un numero es par o impar
set num = integer input string I5ngrese un numero
if num % 2 == 0
begin
print string num + string es par
end
else
begin
print string num + string es impar
end | # -*- coding: utf-8 -*-
print("Bienvenido, este programa verifica si un numero es par o impar")
num=int(input("I5ngrese un numero\n"))
if(num %2 == 0):
print(str(num)+" es par")
else:
print(str(num)+" es impar") | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
set data = read csv string shufflefile.data
print string This is the un shuffled data data
set df = read csv string shufflefile.data header=0
set data2 = call reindex call permutation index
print string The shuffled data is data2 | import numpy as np
import pandas as pd
data = pd.read_csv('shufflefile.data')
print("This is the un shuffled data", data)
df = pd.read_csv('shufflefile.data', header=0)
data2 = df.reindex(np.random.permutation(df.index))
print("\n The shuffled data is", data2) | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Fri Sep 4 16:19:02 2020 Local Info Web Scraping Project @author: Adam ponting's pc
import requests
from bs4 import BeautifulSoup
set url = string https://www.bbc.co.uk/weather/2650225
set page = get requests url
set page_html = text
set soup = call BeautifulSoup page_html... | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 4 16:19:02 2020
Local Info Web Scraping Project
@author: Adam ponting's pc
"""
import requests
from bs4 import BeautifulSoup
url = 'https://www.bbc.co.uk/weather/2650225'
page = requests.get(url)
page_html = page.text
soup = BeautifulSoup(page_html, features = "lxml")
... | Python | zaydzuhri_stack_edu_python |
from common import factorial
set q = 100
set s = 0
for l in string call factorial q
begin
set s = s + integer l
end | from common import factorial
q = 100
s = 0
for l in str(factorial(q)):
s += int(l)
| Python | zaydzuhri_stack_edu_python |
class Settings
begin
string This class store all settings for this game project
function __init__ self
begin
string Define all initial setings for the game
comment Setting for screen
set screen_width = 1000
set screen_height = 700
set bg_color = tuple 230 230 230
comment Setting for ships
set ship_limit = 3
comment Set... | class Settings():
"""This class store all settings for this game project"""
def __init__(self):
"""Define all initial setings for the game"""
# Setting for screen
self.screen_width = 1000
self.screen_height = 700
self.bg_color = (230, 230, 230)
# Setting for shi... | Python | zaydzuhri_stack_edu_python |
function walk self maxresults=100 maxdepth=none
begin
set seen = dict
call ignore self __dict__ obj seen _ignore
comment Ignore the calling frame, its builtins, globals and locals
call ignore_caller
set maxdepth = maxdepth
set count = 0
for result in call _gen obj
begin
yield result
set count = count + 1
if maxresults... | def walk(self, maxresults=100, maxdepth=None):
self.seen = {}
self.ignore(self, self.__dict__, self.obj, self.seen, self._ignore)
# Ignore the calling frame, its builtins, globals and locals
self.ignore_caller()
self.maxdepth = maxdepth
count = 0... | Python | nomic_cornstack_python_v1 |
comment Emory University CS378
comment Homework 2
comment Yicheng (Jason) Wang
comment NetId: ywan693
import csv
import random
import copy
import sys
import numpy as np
function load_data inputFile
begin
set reader = reader open inputFile
set df = array list comprehension row for row in reader if row
set tuple X y = tu... | # Emory University CS378
# Homework 2
# Yicheng (Jason) Wang
# NetId: ywan693
import csv
import random
import copy
import sys
import numpy as np
def load_data(inputFile):
reader = csv.reader(open(inputFile))
df = np.array([row for row in reader if row])
X, y = df[:,:-1],df[:,-1]
X = X.astype(np.float)
return X, ... | Python | zaydzuhri_stack_edu_python |
function get_folder_contact contact_id=none folder_id=none opts=none
begin
set __args__ = dictionary
set __args__ at string contactId = contact_id
set __args__ at string folderId = folder_id
set opts = merge call get_invoke_opts_defaults opts
set __ret__ = value
return call AwaitableGetFolderContactResult email=get pul... | def get_folder_contact(contact_id: Optional[str] = None,
folder_id: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetFolderContactResult:
__args__ = dict()
__args__['contactId'] = contact_id
__args__['folderId'] = folder_id
o... | Python | nomic_cornstack_python_v1 |
function l2_norm x y
begin
set x = call cast x dtype=float32
set y = call cast y dtype=float32
comment [length, 1]
set x_sqr = call expand_dims call reduce_sum x * x 1 - 1
comment [length, 1]
set y_sqr = call expand_dims call reduce_sum y * y 1 - 1
comment [length, length]
set xy = matrix multiply x transpose tf y
set ... | def l2_norm(x, y):
x = tf.cast(x, dtype=tf.float32)
y = tf.cast(y, dtype=tf.float32)
x_sqr = tf.expand_dims(tf.reduce_sum(x * x, 1), -1) # [length, 1]
y_sqr = tf.expand_dims(tf.reduce_sum(y * y, 1), -1) # [length, 1]
xy = tf.matmul(x, tf.transpose(y)) # [length, length]
... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import os
from striprtf.striprtf import rtf_to_text
set companies = sorted list string 3M Co string American Express Co string Amgen Inc string Apple Inc string Boeing Co string Caterpillar Inc string Cisco Systems Inc string Chevron Corp string Goldman Sachs Group Inc string Home Depot Inc string H... | import pandas as pd
import os
from striprtf.striprtf import rtf_to_text
companies = sorted(["3M Co", "American Express Co", "Amgen Inc", "Apple Inc", "Boeing Co", "Caterpillar Inc", "Cisco Systems Inc", "Chevron Corp", "Goldman Sachs Group Inc", "Home Depot Inc", "Honeywell International Inc", "International Business ... | Python | zaydzuhri_stack_edu_python |
function test_parse_action_parameters parameters accepted_result
begin
set client = call Client BASE_URL string username string password string domain
set result = call parse_action_parameters parameters
assert result == accepted_result
end function | def test_parse_action_parameters(parameters, accepted_result):
client = Client(BASE_URL, 'username', 'password', 'domain')
result = client.parse_action_parameters(parameters)
assert result == accepted_result | Python | nomic_cornstack_python_v1 |
comment Euler44 Pentagonal Numbers Smallest difference between sum and difference
comment Create first 10,000
set PenNum = list
set N = list range 1 5000
comment print (N)
for i in N
begin
append PenNum i * 3 * i - 1 / 2
end
print PenNum
set i = 0
set PenDiffList = list
while i < length PenNum
begin
set steps = 1
whi... | #Euler44 Pentagonal Numbers Smallest difference between sum and difference
#Create first 10,000
PenNum = []
N = list(range(1, 5000))
#print (N)
for i in N:
PenNum.append(i*(3*i-1)/2)
print (PenNum)
i = 0
PenDiffList = []
while i < len(PenNum):
steps = 1
while steps < len(PenNum) - i + 1:
PenDiff ... | Python | zaydzuhri_stack_edu_python |
function _from_dict cls _dict
begin
return call from_dict _dict
end function | def _from_dict(cls, _dict):
return cls.from_dict(_dict) | Python | nomic_cornstack_python_v1 |
import hashlib , json
from myapp.models import Tender
comment this function is use for hash data of the user
function hashturnover
begin
comment For convenience, this is a helper function that wraps our hashing algorithm
set gmodel = model Tender
set turnover1 = turnover
set msg = turnover1
if type msg != str
begin
com... | import hashlib, json
from myapp.models import Tender
#this function is use for hash data of the user
def hashturnover():
# For convenience, this is a helper function that wraps our hashing algorithm
gmodel=Model(Tender)
turnover1=gmodel.turnover
msg= turnover1
if type(msg) != str:
msg = js... | Python | zaydzuhri_stack_edu_python |
async function current_readings self details=false
begin
set readings = call CurrentReading
set aranet2_char = call get_characteristic AR2_READ_CURRENT_READINGS
if aranet2_char
begin
set uuid = AR2_READ_CURRENT_READINGS
comment co2, temp, pressure, humidity, battery, status
set value_fmt = string <HHHBHHB
set raw_bytes... | async def current_readings(self, details: bool = False):
readings = CurrentReading()
aranet2_char = self.device.services.get_characteristic(
self.AR2_READ_CURRENT_READINGS
)
if aranet2_char:
uuid = self.AR2_READ_CURRENT_READINGS
# co2, temp, pressure... | Python | nomic_cornstack_python_v1 |
function abc095c_half_and_half
begin
set tuple a b c x y = map int split input
set total = 0
if a + b >= 2 * c
begin
set v = min x y
set total = total + c * v * 2
set x = x - v
set y = y - v
end
if a >= 2 * c
begin
set total = total + 2 * x * c
end
else
begin
set total = total + x * a
end
if b >= 2 * c
begin
set total ... | def abc095c_half_and_half():
a, b, c, x, y = map(int, input().split())
total = 0
if a + b >= 2 * c:
v = min(x, y)
total += c * v * 2
x -= v
y -= v
if a >= 2 * c:
total += 2 * x * c
else:
total += x * a
if b >= 2 * c:
total += 2 * y * c
... | Python | zaydzuhri_stack_edu_python |
function check_complete_create_booking self *args **kwargs
begin
if stripe_pid
begin
if booking_required
begin
from bookings.models import Booking
call create *args keyword kwargs
end
end
end function | def check_complete_create_booking(self, *args, **kwargs):
if self.stripe_pid:
if self.booking_required:
from bookings.models import Booking
Booking.objects.create(*args, **kwargs) | Python | nomic_cornstack_python_v1 |
function finalize_options self
begin
string Populate the attributes. Args: self (CleanCommand): the ``CleanCommand`` instance Returns: ``None``
set cwd = absolute path path directory name path __file__
set build_dirs = list join path cwd string build join path cwd string htmlcov join path cwd string dist join path cwd ... | def finalize_options(self):
"""Populate the attributes.
Args:
self (CleanCommand): the ``CleanCommand`` instance
Returns:
``None``
"""
self.cwd = os.path.abspath(os.path.dirname(__file__))
self.build_dirs = [
os.path.join(self.cwd, 'build... | Python | jtatman_500k |
function OffsetOnSurface3 thisCurve surface distance fittingTolerance multiple=false
begin
set url = string rhino/geometry/curve/offsetonsurface-curve_surface_double_double
if multiple
begin
set url = url + string ?multiple=true
end
set args = list thisCurve surface distance fittingTolerance
if multiple
begin
set args ... | def OffsetOnSurface3(thisCurve, surface, distance, fittingTolerance, multiple=False):
url = "rhino/geometry/curve/offsetonsurface-curve_surface_double_double"
if multiple: url += "?multiple=true"
args = [thisCurve, surface, distance, fittingTolerance]
if multiple: args = list(zip(thisCurve, surface, dis... | Python | nomic_cornstack_python_v1 |
function open_acount
begin
print string 새로운 계좌가 생성되었습니다.
end function
call open_acount
comment 전달값과 반환 값
comment 입금
function deposit balance money
begin
print format string 입금이 완료되었습니다. 잔액은 {}원 입니다. balance + money
return balance + money
end function
comment 출금
function withdraw balance money
begin
comment 잔액이 출금액보다 많으... | def open_acount():
print("새로운 계좌가 생성되었습니다.")
open_acount()
# 전달값과 반환 값
def deposit(balance, money): # 입금
print("입금이 완료되었습니다. 잔액은 {}원 입니다.".format(balance+money))
return balance+money
def withdraw(balance, money): # 출금
if balance > money: # 잔액이 출금액보다 많으면 출금 가능
print("출금이 완료되었습니다. 잔액은 {}... | Python | zaydzuhri_stack_edu_python |
function addBorder picture
begin
set border_len = length picture at 0 + 2
append picture string * * border_len
insert picture 0 string * * border_len
for i in range 1 length picture - 1
begin
set picture at i = string * + picture at i + string *
end
return picture
end function | def addBorder(picture):
border_len = len(picture[0]) + 2
picture.append('*' * border_len)
picture.insert(0, '*' * border_len)
for i in range(1, len(picture)-1):
picture[i] = "*" + picture[i] + "*"
return picture
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment encoding: utf-8
set my_table = list list 0 3 2 3 2 3 4 5 list 3 2 1 2 3 4 3 4 list 2 1 4 3 2 5 4 5 list 3 2 3 2 3 4 3 4 list 2 3 2 3 4 3 4 5 list 3 4 5 4 3 4 5 4 list 4 3 4 3 4 5 4 5 list 5 4 5 4 5 4 5 6
function num2pos num
begin
return list num / 8 num % 8
end function
function an... | #!/usr/bin/env python
# encoding: utf-8
my_table = [[0, 3, 2, 3, 2, 3, 4, 5],
[3, 2, 1, 2, 3, 4, 3, 4],
[2, 1, 4, 3, 2, 5, 4, 5],
[3, 2, 3, 2, 3, 4, 3, 4],
[2, 3, 2, 3, 4, 3, 4, 5],
[3, 4, 5, 4, 3, 4, 5, 4],
[4, 3, 4, 3, 4, 5, 4, 5],
[... | Python | zaydzuhri_stack_edu_python |
string
string Pussycat Sonya has an array A consisting of N integers (N is even). She can perform operations of two types: increase value of some element Ai by 1 delete some adjacent elements Ai and Ai+1 such that they are consecutive prime numbers (Ai is a prime number and Ai+1 is the next prime number) She wants to ... | """"""
"""
Pussycat Sonya has an array A consisting of N integers (N is even). She can perform operations of two types:
increase value of some element Ai by 1
delete some adjacent elements Ai and Ai+1 such that they are consecutive prime numbers (Ai is a prime number and Ai+1
is the next prime number)
She wants to de... | Python | zaydzuhri_stack_edu_python |
function copy_styles
begin
set src = call sketchPath + string /styles
set dest = call sketchPath + string /data/output/styles
try
begin
copy tree src dest
end
comment eg. src and dest are the same file
comment as err:
except Error
begin
comment print('Error: %s' % err)
pass
end
comment eg. source or destination doesn't... | def copy_styles():
src = sketchPath() + '/styles'
dest = sketchPath() + '/data/output/styles'
try:
shutil.copytree(src, dest)
# eg. src and dest are the same file
except shutil.Error: # as err:
# print('Error: %s' % err)
pass
# eg. source or destination doesn't exist
... | Python | nomic_cornstack_python_v1 |
import pygame
import math
import random
import time
from random import sample
global colors
call init
set font = call SysFont string Times New Roman 30
set colors = tuple call render string true tuple 0 128 0 tuple 160 165 160 call render string 1 true tuple 0 0 255 tuple 152 157 142 call render string 2 true tuple 0 ... | import pygame
import math
import random
import time
from random import sample
global colors
pygame.font.init()
font = pygame.font.SysFont("Times New Roman", 30)
colors = font.render(" ", True, (0,128,0), (160, 165, 160)), font.render(" 1 ", True, (0,0,255), (152, 157, 142)), font.render(" 2 ", True, (0,... | Python | zaydzuhri_stack_edu_python |
function getPopualrAuthors
begin
set db = call connect string dbname=news
set c = call cursor
execute c string select count(*) as views , authors.name from articles + string inner join + string log on concat('/article/', articles.slug) = log.path + string inner join authors on articles.author = authors.id + string grou... | def getPopualrAuthors():
db = psycopg2.connect("dbname=news")
c = db.cursor()
c.execute(" select count(*) as views , authors.name from articles "
+ " inner join "
+ "log on concat('/article/', articles.slug) = log.path "
+ " inner join authors on articles.author =... | Python | nomic_cornstack_python_v1 |
from Classes.game import Person , bcolors
from Classes.magic import Spell
from Classes.Inventory import Item
comment Create offensive magic
set spell_fire = call Spell string Fire 10 100 string Earth
set spell_thunder = call Spell string Thunder 10 120 string Weather
set spell_blizzard = call Spell string Blizzard 15 1... | from Classes.game import Person, bcolors
from Classes.magic import Spell
from Classes.Inventory import Item
#Create offensive magic
spell_fire = Spell("Fire", 10, 100, "Earth")
spell_thunder = Spell("Thunder", 10, 120, "Weather")
spell_blizzard = Spell("Blizzard", 15, 140, "Weather")
spell_meteor = Spell("Meteor", 20... | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 -*-
comment 例8.1创建顺序文件
comment 如果文件不存在就会新建一个文件
comment 用with可以不用f.close来手动关闭 | # -*- coding:utf-8 -*-
#例8.1创建顺序文件
#如果文件不存在就会新建一个文件
#用with可以不用f.close来手动关闭
| Python | zaydzuhri_stack_edu_python |
function ipset_y_3d
begin
return call IPSet x=linear space 0 10 11 y=randn 11 2 5 x_new=linear space 1 4 3
end function | def ipset_y_3d():
return IPSet(x=np.linspace(0, 10, 11), y=np.random.randn(11, 2, 5), x_new=np.linspace(1, 4, 3)) | Python | nomic_cornstack_python_v1 |
from collections import deque
class TreeNode
begin
function __init__ self val
begin
set val = val
set tuple left right = tuple none none
end function
end class
comment was not able to handle test case where right subtree ends before left
string Failed test case in ownLogic 12 / 7 1 / 9 10
function ownLogic root
begin
s... | from collections import deque
class TreeNode:
def __init__(self, val):
self.val = val
self.left, self.right = None, None
# was not able to handle test case where right subtree ends before left
''' Failed test case in ownLogic
12
/\
7 1
/\
9 10
'''
def ownLogic... | Python | zaydzuhri_stack_edu_python |
function load_base_weights self
begin
set base_state_dict = call load_url model_urls at string vgg16
set vgg_state_dict = dictionary comprehension k at slice length string features. : : : v for tuple k v in items base_state_dict if starts with k string features.
load state dict vgg vgg_state_dict
set vgg_head_params ... | def load_base_weights(self):
base_state_dict = model_zoo.load_url(vgg.model_urls['vgg16'])
vgg_state_dict = {k[len('features.'):]: v
for k, v in base_state_dict.items()
if k.startswith('features.')}
self.vgg.load_state_dict(vgg_state_dict)
... | Python | nomic_cornstack_python_v1 |
function request_id self
begin
return get pulumi self string request_id
end function | def request_id(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "request_id") | Python | nomic_cornstack_python_v1 |
comment only print key
for key in student
begin
print key
end
comment print both key and value
for key in student
begin
print key end=string
print student at key
end
comment or
comment ============================
for key in student
begin
print key string = student at key
end | #only print key
for key in student:
print(key)
#print both key and value
for key in student:
print(key,end="")
print(student[key])
#or
#============================
for key in student:
print(key,"=",student[key]) | Python | zaydzuhri_stack_edu_python |
function clear_lazyprop object property_name
begin
assert is instance property_name str
if _LAZY_PROP_VALUES in __dict__
begin
if property_name in __dict__ at _LAZY_PROP_VALUES
begin
del __dict__ at _LAZY_PROP_VALUES at property_name
end
end
if _LAZY_PROP_SUBSCRIBERS in __dict__
begin
if property_name in __dict__ at _L... | def clear_lazyprop(object, property_name):
assert isinstance(property_name, str)
if _LAZY_PROP_VALUES in object.__dict__:
if property_name in object.__dict__[_LAZY_PROP_VALUES]:
del object.__dict__[_LAZY_PROP_VALUES][property_name]
if _LAZY_PROP_SUBSCRIBERS in object.__dict__:
... | Python | nomic_cornstack_python_v1 |
function get_buildable_units self user building
begin
set buildable = list
set player = call get_player user
comment every unit that can be build in this building
for u in units_per_building at command_name
begin
comment get the highest level possible units to build
comment sort requirements per level
set requirements... | def get_buildable_units(self, user, building):
buildable = []
player = self.get_player(user)
for u in units_per_building[building.command_name]: # every unit that can be build in this building
# get the highest level possible units to build
# sort requirements per level
... | Python | nomic_cornstack_python_v1 |
function seconds self
begin
return get pulumi self string seconds
end function | def seconds(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "seconds") | Python | nomic_cornstack_python_v1 |
comment coding=utf-8
import tensorflow as tf
function test_tf
begin
set a = call constant list list 1 2 3 list 4 5 6 dtype=float32
set b = a * 0.5 + 3
set c = call random_uniform list 2 3 4
set d = call random_uniform list 2 1 4
with call Session as session
begin
set tuple c_value d_value value = run list c d c + d
pri... | # coding=utf-8
import tensorflow as tf
def test_tf():
a = tf.constant([[1, 2, 3], [4, 5, 6]], dtype=tf.float32)
b = a * 0.5 + 3
c = tf.random_uniform([2, 3, 4])
d = tf.random_uniform([2, 1, 4])
with tf.Session() as session:
c_value, d_value, value = session.run([c, d, c+d])
pri... | Python | zaydzuhri_stack_edu_python |
function test_login_post_route_auth_keeps_auth_tkt_cookie testapp csrf_token
begin
assert string auth_tkt in cookies
post string /login dict string csrf_token csrf_token
assert string auth_tkt in cookies
end function | def test_login_post_route_auth_keeps_auth_tkt_cookie(testapp, csrf_token):
assert 'auth_tkt' in testapp.cookies
testapp.post("/login", {'csrf_token': csrf_token})
assert 'auth_tkt' in testapp.cookies | Python | nomic_cornstack_python_v1 |
async function find_stories url alias response_text name cls_name features config_id=0
begin
set news_dump = call NewsDump config_id url alias name cls_name features
debug string searching url: { url }
set soup = call BeautifulSoup decode encode response_text string ascii errors=string ignore string utf-8 features=feat... | async def find_stories(url: Url, alias: str,
response_text: str, name: str,
cls_name: str, features: str,
config_id: int = 0
):
news_dump = NewsDump(config_id, url, alias, name, cls_name, features)
... | Python | nomic_cornstack_python_v1 |
function removefromcart request featureid
begin
set cart = get session string cart dict
if featureid in cart
begin
del cart at featureid
call success request string Feature removed
end
set session at string cart = cart
return call redirect reverse string cart
end function | def removefromcart(request, featureid):
cart = request.session.get('cart', {})
if featureid in cart:
del cart[featureid]
messages.success(request, "Feature removed")
request.session['cart'] = cart
return redirect(reverse('cart')) | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
string Created on 2014��9��24�� canny只能处理灰度图 @author: xhj
import cv2
import numpy as np
function canny_edge img
begin
string 只能处理灰度图像
comment gauss降噪
set img = call GaussianBlur img tuple 3 3 0
set canny = call Canny img 50 150
image show string Canny canny
call waitKey 0
call destroyAllWindows
en... | # coding: utf-8
'''
Created on 2014��9��24��
canny只能处理灰度图
@author: xhj
'''
import cv2
import numpy as np
def canny_edge(img):
'''
只能处理灰度图像
'''
# gauss降噪
img = cv2.GaussianBlur(img,(3,3),0)
canny = cv2.Canny(img, 50, 150)
cv2.imshow('Canny', canny)
cv2.waitKey(0)
cv... | Python | zaydzuhri_stack_edu_python |
function SLYTHERIN_RECOVERY_RATE_LVL_2
begin
return 4
end function | def SLYTHERIN_RECOVERY_RATE_LVL_2() -> int:
return 4 | Python | nomic_cornstack_python_v1 |
import decimal
function calculate_pi
begin
comment Set precision to 110 decimal places
set prec = 110
comment Set maximum exponent to avoid overflow
set Emax = 9999999999999999
comment Set minimum exponent to avoid underflow
set Emin = - 9999999999999999
set pi = call Decimal 0
set numerator = call Decimal 1
set denomi... | import decimal
def calculate_pi():
decimal.getcontext().prec = 110 # Set precision to 110 decimal places
decimal.getcontext().Emax = 9999999999999999 # Set maximum exponent to avoid overflow
decimal.getcontext().Emin = -9999999999999999 # Set minimum exponent to avoid underflow
pi = decimal.Decima... | Python | jtatman_500k |
import numpy as np
function mse y_pred y w regularization=none l=0.1
begin
string Assume y_pred and y have the same dim and can be batched. w: weights regularization: None, 'l2' l: regularization parameter (lambda)
set b_size = shape at 0
set diff = reshape y_pred b_size - 1 - reshape y b_size - 1
set mse = mean call p... | import numpy as np
def mse(y_pred, y, w, regularization = None, l = 0.1):
''' Assume y_pred and y have the same dim and can be batched.
w: weights
regularization: None, 'l2'
l: regularization parameter (lambda)
'''
b_size = y_pred.shape[0]
diff = y_pred.reshape(b_size,-1) - y.r... | Python | zaydzuhri_stack_edu_python |
function _bu self string
begin
return call bold call underline string
end function | def _bu(self, string):
return ircutils.bold(ircutils.underline(string)) | Python | nomic_cornstack_python_v1 |
function _converterAFparaGR self automato
begin
set producoes = list
comment para cada um dos estados
for estado in keys tabelaTransicao
begin
set transicoes = string
comment para cada uma das transicoes desse estado
set transicao = get tabelaTransicao estado
for trans in keys transicao
begin
comment caso o caminho d... | def _converterAFparaGR(self, automato):
producoes = []
#para cada um dos estados
for estado in automato.tabelaTransicao.keys():
transicoes = ""
#para cada uma das transicoes desse estado
transicao = automato.tabelaTransicao.get(estado)
... | Python | nomic_cornstack_python_v1 |
function write self data
begin
set sendbuf = sendbuf + data
end function | def write(self, data):
self.sendbuf += data | Python | nomic_cornstack_python_v1 |
function normalize_profile ph
begin
return ph / absolute ph at 1
end function | def normalize_profile(ph):
return ph/np.abs(ph[1]) | Python | nomic_cornstack_python_v1 |
function get_params self
begin
return tuple w b
end function | def get_params(self):
return self.w, self.b | Python | nomic_cornstack_python_v1 |
function hello_world request
begin
set dajax = call Dajax
call assign string body string innerHTML string Hello world !
comment dajax.alert("Hello World!")
return json dajax
end function | def hello_world(request):
dajax = Dajax()
dajax.assign('body','innerHTML', "Hello world !")
#dajax.alert("Hello World!")
return dajax.json() | Python | nomic_cornstack_python_v1 |
function __ne__ self other
begin
return not self == other
end function | def __ne__(self, other):
return not self == other | Python | nomic_cornstack_python_v1 |
function __init__ self *args **kwargs
begin
if length kwargs == 1 and string handle in kwargs
begin
set handle = kwargs at string handle
call IncRef handle
end
else
if length args == 1 and is instance args at 0 GoClass
begin
set handle = handle
call IncRef handle
end
else
if length args == 1 and is instance args at 0 i... | def __init__(self, *args, **kwargs):
if len(kwargs) == 1 and 'handle' in kwargs:
self.handle = kwargs['handle']
_test.IncRef(self.handle)
elif len(args) == 1 and isinstance(args[0], GoClass):
self.handle = args[0].handle
_test.IncRef(self.handle)
elif len(args) == 1 and isinstance(args[0], int):
se... | Python | nomic_cornstack_python_v1 |
function vote_act request
begin
assert is instance request HttpRequest
return call render request string app/vote.html context_instance=call RequestContext request dict string title string Vote the act ; string year year
end function | def vote_act(request):
assert isinstance(request, HttpRequest)
return render(
request,
'app/vote.html',
context_instance=RequestContext(request,
{
'title': 'Vote the act',
'year': datetime.now().year,
})
) | Python | nomic_cornstack_python_v1 |
if inp < 4
begin
print string Dude, that was easy to do!! >:(
end
else
begin
for i in range 0 inp - 3
begin
set first_num = list at a + list at b
append list first_num
set a = a + 1
set b = b + 1
end
print list
end | if inp < 4:
print("Dude, that was easy to do!! >:( ")
else:
for i in range(0 , (inp - 3)):
first_num = list[a] + list[b]
list.append(first_num)
a = a + 1
b = b + 1
print(list)
| Python | zaydzuhri_stack_edu_python |
function unique_id self
begin
return call BCH_decoder_ATSC_sptr_unique_id self
end function | def unique_id(self):
return _mack_sdr_rossi_swig.BCH_decoder_ATSC_sptr_unique_id(self) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Wed Aug 21 22:13:04 2019 @author: Bob
import numpy as np
class ListNode extends object
begin
function __init__ self elem link=none
begin
set elem = elem
set next = link
end function
end class
class SingleLinkList extends object
begin
function __init__ self
begin
set head ... | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 21 22:13:04 2019
@author: Bob
"""
import numpy as np
class ListNode(object):
def __init__(self,elem,link=None):
self.elem = elem
self.next = link
class SingleLinkList(object):
def __init__(self):
self.head = None
def prepend(self... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
comment Input:
comment Data: data dictionary
comment Algorithm: Algorithm to plot from Data dictionary
comment plotWhat: "epoch_loss" or "epoch_accuracy"
comment saveToFile: If false, then shows a plot. Otherwise dumps plot to a file
function plotAlg data algorithm plotWhat saveToFile=fa... | import matplotlib.pyplot as plt
#
# Input:
# Data: data dictionary
# Algorithm: Algorithm to plot from Data dictionary
# plotWhat: "epoch_loss" or "epoch_accuracy"
# saveToFile: If false, then shows a plot. Otherwise dumps plot to a file
#
def plotAlg(data, algorithm, plotWhat, saveToFile=False... | Python | zaydzuhri_stack_edu_python |
function week_events self
begin
set event_keys = get memcache string EventHelper.week_events():event_keys
if event_keys is not none
begin
return call get_multi event_keys
end
set today = today
comment Make sure all events to be returned are within range
set two_weeks_of_events_keys_future = call fetch_async keys_only=t... | def week_events(self):
event_keys = memcache.get('EventHelper.week_events():event_keys')
if event_keys is not None:
return ndb.get_multi(event_keys)
today = datetime.datetime.today()
# Make sure all events to be returned are within range
two_weeks_of_events_keys_fut... | Python | nomic_cornstack_python_v1 |
function valid_response line
begin
comment checksum is last two characters in ASCII hex
set cksum = integer line at slice - 2 : : 16
comment remove checksum from data
set data = line at slice : - 2 :
set calc_cksum = call checksum data
if cksum != calc_cksum
begin
debug string checksum failed (%r): should be %s lin... | def valid_response(line):
cksum = int(line[-2:], 16) # checksum is last two characters in ASCII hex
data = line[:-2] # remove checksum from data
calc_cksum = checksum(data)
if cksum != calc_cksum:
log.debug('checksum failed (%r): should be %s', line, hex(calc_cksum))
return False
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
set N = integer input
set ok = false
set lines = list
for n in range N
begin
set line = input
if string OO in line and not ok
begin
set line = replace line string OO string ++ 1
set ok = true
end
append lines line
end
if ok
begin
print string YES
print join s... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
N = int(input())
ok = False
lines = []
for n in range(N):
line = input()
if "OO" in line and not ok:
line = line.replace("OO", "++", 1)
ok = True
lines.append(line)
if ok:
print ("YES")
print("\n".join(lines))
else:
print ("NO")
| Python | zaydzuhri_stack_edu_python |
function test_fma_nan_param_infarray_okarray_ninfarray_okarray_b_260 self
begin
comment The expected results.
set expected = list comprehension x * y + z for tuple x y z in zip infarrayx okarrayy ninfarrayz
comment Exceptions are turned off so we can use the results to test for correct values.
call fma infarrayx okarra... | def test_fma_nan_param_infarray_okarray_ninfarray_okarray_b_260(self):
# The expected results.
expected = [(x * y + z) for x,y,z in zip(self.infarrayx, self.okarrayy, self.ninfarrayz)]
# Exceptions are turned off so we can use the results to test for correct values.
arrayfunc.fma(self.infarrayx, self.okarrayy,... | Python | nomic_cornstack_python_v1 |
function cleanup a b
begin
if find a b == - 1
begin
return integer a
end
else
begin
return none
end
end function
function get_answer str1
begin
set tuple problem answer = split str1 string =
set tuple f s = split problem string +
set b = string machula
set f = call cleanup f b
set s = call cleanup s b
set answer = call... | def cleanup(a, b):
if a.find(b) == -1:
return int(a)
else:
return None
def get_answer(str1):
problem, answer = str1.split('=')
f, s = problem.split('+')
b = 'machula'
f = cleanup(f, b)
s = cleanup(s, b)
answer = cleanup(answer, b)
if f is None:
f = answer - ... | Python | zaydzuhri_stack_edu_python |
function serialize_many2many self
begin
return notes
end function | def serialize_many2many(self):
return self.notes | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
import sqlite3
class Sqlite3 extends object
begin
string sqlite3 helper
function __init__ self db
begin
set conn = call connect db
set ddlKeywords = list string create string update string delete string insert
end function
function execute self sql params
begin
string execute the sql statement... | #!/usr/bin/python3
import sqlite3
class Sqlite3(object):
"""
sqlite3 helper
"""
def __init__(self, db):
self.conn = sqlite3.connect(db)
self.ddlKeywords = ["create", "update", "delete", "insert"]
def execute(self, sql, params):
"""
execute the sql statement expec... | Python | zaydzuhri_stack_edu_python |
if __name__ == string __main__
begin
set tuple N M = map int split input
set n = list
for j in range N
begin
append n 0
end
for i in range M
begin
set tuple a b = map int split input
set n at a - 1 = n at a - 1 + 1
set n at b - 1 = n at b - 1 + 1
end
for j in range N
begin
print n at j
end
end | if __name__ == '__main__':
N, M = map(int, input().split())
n=[]
for j in range(N):
n.append(0)
for i in range(M):
a, b = map(int, input().split())
n[a-1]+=1
n[b-1]+=1
for j in range(N):
print(n[j]) | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Wed Sep 26 19:52:17 2018 @author: Francisco
import matplotlib as mpl
import matplotlib.pyplot as plt
import pdsmodulos.generador as gen
import numpy as np
import pdsmodulos.tools as tools
from scipy import signal
function testbench
begin
set fs = 1024
set N = 1024
set a0 ... | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 26 19:52:17 2018
@author: Francisco
"""
import matplotlib as mpl
import matplotlib.pyplot as plt
import pdsmodulos.generador as gen
import numpy as np
import pdsmodulos.tools as tools
from scipy import signal
def testbench():
fs = 1024
N = 1024
a0 = 2
... | Python | zaydzuhri_stack_edu_python |
function compare_tar_against_git release
begin
with call hide string commands
begin
with call cd string /home/vagrant/repos/sympy
begin
set git_lsfiles = set list comprehension strip i for i in split run string git ls-files string
end
set tar_output_orig = set split call show_files release print_=false string
set tar_o... | def compare_tar_against_git(release):
with hide("commands"):
with cd("/home/vagrant/repos/sympy"):
git_lsfiles = set([i.strip() for i in run("git ls-files").split("\n")])
tar_output_orig = set(show_files(release, print_=False).split("\n"))
tar_output = set()
for file in tar_o... | Python | nomic_cornstack_python_v1 |
function get_trace self trace_id project_id=none options=none
begin
if project_id is none
begin
set project_id = project
end
return call get_trace project_id=project_id trace_id=trace_id options=options
end function | def get_trace(self, trace_id, project_id=None, options=None):
if project_id is None:
project_id = self.project
return self.trace_api.get_trace(
project_id=project_id,
trace_id=trace_id,
options=options) | Python | nomic_cornstack_python_v1 |
function get_state_value_function self **kwargs
begin
pass
end function | def get_state_value_function(self, **kwargs):
pass | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
comment In the BlahutArimotoExample() we change different kind of probabilities of X (al) line=75
function BlahutArimato dist_mat p_x beta max_it=500 eps=0.0001
begin
string Compute the rate-distortion function of an i.i.d distribution Inputs : 'dist_mat' -- (numpy mat... | import numpy as np
import matplotlib.pyplot as plt
# In the BlahutArimotoExample() we change different kind of probabilities of X (al) line=75
#
def BlahutArimato(dist_mat, p_x, beta, max_it=500, eps=1e-4):
"""Compute the rate-distortion function of an i.i.d distribution
Inputs :
'dist_mat' -- (... | Python | zaydzuhri_stack_edu_python |
function read_csv f
begin
set out = list
set reader = reader f
set fields = next
set fields = list comprehension lower f for f in fields
for row in reader
begin
set record = dict
for col in range length fields
begin
set record at fields at col = row at col
end
append out record
end
return out
end function | def read_csv( f ):
out = []
reader = csv.reader( f )
fields = reader.next()
fields = [ f.lower() for f in fields ]
for row in reader:
record = {}
for col in range( len(fields) ):
record[ fields[col] ] = row[col]
out.append(record)
return out | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
comment ==============================================================================
comment Data functions
comment ========================================================... | #!/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
# ==============================================================================
# Data functions
# =======================================================================... | Python | zaydzuhri_stack_edu_python |
import pika
import sys
import config
set user_pwd = call PlainCredentials username pwd
comment 创建链接
set s_conn = call BlockingConnection call ConnectionParameters string localhost credentials=user_pwd
comment 创建一个频道
set chan = call channel
comment 声明一个队列,设置队列持久化
call queue_declare queue=string task_queue durable=true
c... | import pika
import sys
import config
user_pwd = pika.PlainCredentials(config.username,config.pwd) #
#创建链接
s_conn = pika.BlockingConnection(pika.ConnectionParameters('localhost',credentials=user_pwd))
#创建一个频道
chan = s_conn.channel()
#声明一个队列,设置队列持久化
chan.queue_declare(queue='task_queue',durable=True)
chan.basic_publ... | Python | zaydzuhri_stack_edu_python |
string Program Name: Author: Maya Name Creation Date: Description:
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
import cmath , math
import matplotlib.pyplot as plt
import numpy as np
class App
begin
function __init__ self master
begin
comment Define window properties
title master string R... | """
Program Name:
Author: Maya Name
Creation Date:
Description:
"""
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
import cmath, math
import matplotlib.pyplot as plt
import numpy as np
class App:
def __init__(self, master):
#Define window properties
... | Python | zaydzuhri_stack_edu_python |
string 524. Longest Word in Dictionary through Deleting Medium Given a string and a string dictionary, find the longest string in the dictionary that can be formed by deleting some characters of the given string. If there are more than one possible results, return the longest word with the smallest lexicographical orde... | '''
524. Longest Word in Dictionary through Deleting
Medium
Given a string and a string dictionary, find the longest string in the dictionary that can be formed by deleting some characters of the given string. If there are more than one possible results, return the longest word with the smallest lexicographical order.... | Python | zaydzuhri_stack_edu_python |
function __init__ self filename sheetname=none
begin
set filename = filename
set pd_writer = call ExcelWriter filename engine=string xlsxwriter
set sheetname = sheetname
end function | def __init__(self, filename, sheetname=None):
self.filename = filename
self.pd_writer = pd.ExcelWriter(self.filename, engine='xlsxwriter')
self.sheetname = sheetname | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Thu Jan 7 09:17:39 2021 @author: rache
import pandas as pd
from Google import Create_Service
import datetime
from scipy.stats import pearsonr
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from statsmodels.tsa.seasonal... | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 7 09:17:39 2021
@author: rache
"""
import pandas as pd
from Google import Create_Service
import datetime
from scipy.stats import pearsonr
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from statsmodels.... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function spiralOrder self M
begin
set tuple m n = tuple length M length M at 0
set tuple top bottom = tuple 0 m - 1
set tuple left right = tuple 0 n - 1
set direction = 0
set ans = list
while top <= bottom and left <= right
begin
if direction == 0
begin
for j in range left right + 1
begin
append a... | class Solution:
def spiralOrder(self, M):
m, n = len(M), len(M[0])
top, bottom = 0, m - 1
left, right = 0, n - 1
direction = 0
ans = []
while top <= bottom and left <= right:
if direction == 0:
for j in range(left, right + 1):
... | Python | zaydzuhri_stack_edu_python |
comment Area of a room
set width = decimal input string Inserisci la larghezza della stanza:
set length = decimal input string Inserisci la lunghezza della stanza:
set area = width * length
print string L'area della stanza è pari a %.2f metri % area | # Area of a room
width = float(input("Inserisci la larghezza della stanza: "))
length = float(input("Inserisci la lunghezza della stanza: "))
area = (width * length)
print("L'area della stanza è pari a %.2f metri" % area) | Python | zaydzuhri_stack_edu_python |
function paint_corners self
begin
print string PAINTING CORNERS.
set titles = list string P string K string $\phi$ string e string $\omega$
if not kplanets
begin
print string No cornerplots for K0.
return
end
for k in call tqdm range kplanets desc=string Brush number
begin
set labels = list comprehension t + string + ... | def paint_corners(self):
print('\n\t\tPAINTING CORNERS.')
titles = ['P', 'K', r'$\phi$', 'e', r'$\omega$']
if not self.kplanets:
print('No cornerplots for K0.')
return
for k in tqdm(range(self.kplanets), desc='Brush number'):
labels = [t + ' ' + str(k ... | Python | nomic_cornstack_python_v1 |
function test_create_model_engines_local_args load_pos_and_neg_data
begin
set exp = call TSForecastingExperiment
set data = load_pos_and_neg_data
setup exp data=data fold=2 fh=12 fold_strategy=string sliding verbose=false
comment Default Model Engine ----
comment A. Statistical Models
assert call get_engine string auto... | def test_create_model_engines_local_args(load_pos_and_neg_data):
exp = TSForecastingExperiment()
data = load_pos_and_neg_data
exp.setup(
data=data,
fold=2,
fh=12,
fold_strategy="sliding",
verbose=False,
)
# Default Model Engine ----
# A. Statistical Mod... | Python | nomic_cornstack_python_v1 |
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