code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function encode self text
begin
if verbatim
begin
return text
end
comment compile the regexps once. do it here so one can see them.
comment first the braces.
if not call has_key string encode_re_braces
begin
set encode_re_braces = compile string ([{}])
end
set text = sub string {\\\1} text
if not call has_key string en... | def encode(self, text):
if self.verbatim:
return text
# compile the regexps once. do it here so one can see them.
#
# first the braces.
if not self.__dict__.has_key('encode_re_braces'):
self.encode_re_braces = re.compile(r'([{}])')
text = self.enco... | Python | nomic_cornstack_python_v1 |
class Dog
begin
set name = string
comment Конструктор
comment Вызывается на момент создания объекта этого типа
function __init__ self newName
begin
set name = newName
end function
comment Можем в любой момент вызвать и изменить имя
function setName self newName
begin
set name = newName
end function
comment Можем в люб... | class Dog():
name=""
# Конструктор
# Вызывается на момент создания объекта этого типа
def __init__ (self, newName):
self.name = newName
# Можем в любой момент вызвать и изменить имя
def setName (self, newName):
self.name = newName
# Можем в любой момент вызвать и у... | Python | zaydzuhri_stack_edu_python |
string # Definition for an Interval. class Interval: def __init__(self, start: int = None, end: int = None): self.start = start self.end = end
class Solution
begin
function employeeFreeTime self schedule
begin
comment Grab intervals
comment Sort intervals
comment Combine intervals
comment Loop through combined and add ... | """
# Definition for an Interval.
class Interval:
def __init__(self, start: int = None, end: int = None):
self.start = start
self.end = end
"""
class Solution:
def employeeFreeTime(self, schedule: '[[Interval]]') -> '[Interval]':
# Grab intervals
# Sort intervals
# Combi... | Python | zaydzuhri_stack_edu_python |
function parse_products
begin
set products = list
with open call data_path string products.csv as csvfile
begin
set reader = reader csvfile
set schema = next
set Product = named tuple string Product schema
for line in reader
begin
append products product line at 0 line at 1 line at 2 decimal line at 3 integer line at ... | def parse_products():
products = []
with open(data_path('products.csv')) as csvfile:
reader = csv.reader(csvfile)
schema = reader.next()
Product = namedtuple('Product', schema)
for line in reader:
products.append(Product(
line[0], line[1], line[2], flo... | Python | nomic_cornstack_python_v1 |
function average_to_vertices self dofs
begin
set tuple data_qp integral = call interp_to_qp dofs
set vertex_dofs = call average_qp_to_vertices data_qp integral
return vertex_dofs
end function | def average_to_vertices(self, dofs):
data_qp, integral = self.interp_to_qp(dofs)
vertex_dofs = self.average_qp_to_vertices(data_qp, integral)
return vertex_dofs | Python | nomic_cornstack_python_v1 |
function _translate__l3vpn_ntw_vpn_services_vpn_service_vpn_nodes_vpn_node_vpn_targets_vpn_target input_yang_obj translated_yang_obj=none
begin
for tuple k listInst in call iteritems
begin
set innerobj = call _translate__l3vpn_ntw_vpn_services_vpn_service_vpn_nodes_vpn_node_vpn_targets_vpn_target_route_targets listInst... | def _translate__l3vpn_ntw_vpn_services_vpn_service_vpn_nodes_vpn_node_vpn_targets_vpn_target(input_yang_obj,
translated_yang_obj=None):
for k, listInst in input_yang_obj.route_targets.iteritems():
innerobj = _trans... | Python | nomic_cornstack_python_v1 |
import socket
import threading
import time
import pytext as pt
import tkinter as tk
set editor = none
class Client_Thread extends Thread
begin
function __init__ self name address connection
begin
call __init__ self
set client_name = string Client + string name
set address = address
comment same address
set socketIn = c... | import socket
import threading
import time
import pytext as pt
import tkinter as tk
editor = None
class Client_Thread(threading.Thread):
def __init__(self, name, address, connection):
threading.Thread.__init__(self)
self.client_name = "Client" + str(name)
self.address = address
# ... | Python | zaydzuhri_stack_edu_python |
function tx_packet self final=false
begin
debug string Transmitting BFD packet to %s:%s remote CONTROL_PORT
call sendto call encode_packet final tuple remote CONTROL_PORT
end function | def tx_packet(self, final=False):
log.debug('Transmitting BFD packet to %s:%s',
self.remote, CONTROL_PORT)
self.client.sendto(
self.encode_packet(final), (self.remote, CONTROL_PORT)) | Python | nomic_cornstack_python_v1 |
if c % 2 == 0
begin
for i in range 0 c 2
begin
set t = s at i
set s at i = s at i + 1
set s at i + 1 = t
end
end | if c%2 ==0:
for i in range(0,c,2):
t=s[i]
s[i]=s[i+1]
s[i+1]=t | Python | zaydzuhri_stack_edu_python |
function schema_descriptor self json_schema
begin
set derefed_json_schema = call _deref_json_schema json_schema
comment merging the derefed json schema into the actual json schema. This preserves fields in the schema which
comment were specified alongside the $ref
set metadata_schema_data = merge json_schema derefed_js... | def schema_descriptor(self, json_schema):
derefed_json_schema = self._deref_json_schema(json_schema)
# merging the derefed json schema into the actual json schema. This preserves fields in the schema which
# were specified alongside the $ref
metadata_schema_data = merge(json_schema, der... | Python | nomic_cornstack_python_v1 |
function __imul__ self *args
begin
return call Velocity3D___imul__ self *args
end function | def __imul__(self, *args):
return _almathswig.Velocity3D___imul__(self, *args) | Python | nomic_cornstack_python_v1 |
function grep self regex
begin
set regex_search = search
return join string generator expression strip line for line in call splitlines if call regex_search line
end function | def grep(self, regex):
regex_search = re.compile(regex, re.I).search
return "\n".join(
line.strip() for line in self.contents.splitlines()
if regex_search(line)
) | Python | nomic_cornstack_python_v1 |
function total_intensity par_int per_int
begin
string Calculate total intensity from parallel and perpendicular intensity. Parameters ---------- par_int: Parallel intensity component. per_int: Perpendicular intensity component.
return par_int + 2 * per_int
end function
function anisotropy_from_intensity par_int per_int... | def total_intensity(par_int, per_int):
"""Calculate total intensity from parallel and perpendicular intensity.
Parameters
----------
par_int: Parallel intensity component.
per_int: Perpendicular intensity component.
"""
return par_int + 2 * per_int
def anisotropy_from_intensity(par_int, p... | Python | zaydzuhri_stack_edu_python |
function test_parse_args_proposed_components_split self
begin
set args = call parse_args list string --proposed-components string main contrib non-free
assert equal proposed_components list string main string contrib string non-free
end function | def test_parse_args_proposed_components_split(self) -> None:
args = parse_args(["--proposed-components", "main contrib non-free"])
self.assertEqual(args.proposed_components, ["main", "contrib", "non-free"]) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding=utf-8
class Solution extends object
begin
function lengthOfLIS self nums
begin
string :type nums: List[int] :rtype: int
set n = length nums
if n == 0
begin
return 0
end
else
if n == 1
begin
return 1
end
else
if n == 2
begin
if nums at 0 < nums at 1
begin
return 2
end
else
beg... | #!/usr/bin/env python
# coding=utf-8
class Solution(object):
def lengthOfLIS(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
n = len(nums)
if n == 0:
return 0
elif n == 1:
return 1
elif n == 2:
if nums[0] < nu... | Python | zaydzuhri_stack_edu_python |
function use_with data fn *attrs
begin
string Apply a function on the attributes of the data :param data: an object :param fn: a function :param attrs: some attributes of the object :returns: an object Let's create some data first:: >>> from collections import namedtuple >>> Person = namedtuple('Person', ('name', 'age'... | def use_with(data, fn, *attrs):
"""Apply a function on the attributes of the data
:param data: an object
:param fn: a function
:param attrs: some attributes of the object
:returns: an object
Let's create some data first::
>>> from collections import namedtuple
>>> Person = nam... | Python | jtatman_500k |
comment ! /usr/bin/env python3
import argparse
import re
import subprocess
from pathlib import Path
import requests
import pandas as pd
import numpy as np
comment Inspired by
comment https://github.com/wwood/ena-fast-download/blob/master/ena-fast-download.py
comment --- Constants ---
set accession_path = string https:/... | #! /usr/bin/env python3
import argparse
import re
import subprocess
from pathlib import Path
import requests
import pandas as pd
import numpy as np
# Inspired by
# https://github.com/wwood/ena-fast-download/blob/master/ena-fast-download.py
# --- Constants ---
accession_path = 'https://www.ncbi.nlm.nih.gov/geo/query/... | Python | zaydzuhri_stack_edu_python |
comment Oving 6
import random
import time
from irproximity_sensor import IRProximitySensor
from motors import Motors
from reflectance_sensors import ReflectanceSensors
from ultrasonic import Ultrasonic
from zumo_button import ZumoButton
from camera import Camera
from imager2 import Imager
comment update
class BBCON
beg... | #Oving 6
import random
import time
from irproximity_sensor import IRProximitySensor
from motors import Motors
from reflectance_sensors import ReflectanceSensors
from ultrasonic import Ultrasonic
from zumo_button import ZumoButton
from camera import Camera
from imager2 import Imager
#update
class BBCON:
def __init... | Python | zaydzuhri_stack_edu_python |
string Create a dictionary representing a network device. The dictionary should have key-value pairs representing the 'ip_addr', 'vendor', 'username', and 'password' fields. Print out the 'ip_addr' key from the dictionary. If the 'vendor' field is 'cisco', then set the 'platform' to 'ios'. If the 'vendor' field is 'jun... | """
Create a dictionary representing a network device. The dictionary should have key-value pairs
representing the 'ip_addr', 'vendor', 'username', and 'password' fields.
Print out the 'ip_addr' key from the dictionary.
If the 'vendor' field is 'cisco', then set the 'platform' to 'ios'. If the 'vendor' field is
'junipe... | Python | zaydzuhri_stack_edu_python |
function configure_before_handlers app
begin
pass
end function | def configure_before_handlers(app):
pass | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
from urllib import urlencode
from urllib2 import urlopen , Request
from json import loads
import sys
class LeetPhorum
begin
function __init__ self url
begin
set f = url open url
set i = info
close f
if not string Set-Cookie in i
begin
raise exception string Cookie is missing
end
set url = url
s... | #!/usr/bin/python
from urllib import urlencode
from urllib2 import urlopen, Request
from json import loads
import sys
class LeetPhorum:
def __init__(self, url):
f = urlopen(url)
i = f.info()
f.close()
if not 'Set-Cookie' in i:
raise Exception('Cookie is missing')
... | Python | zaydzuhri_stack_edu_python |
function split_name filename
begin
comment *********** My filename are in the format ./CaAl2Si2O8_T3_nvt_a12.5.
comment ******* so I can split their name with _ and take the compound and T from their name
set filename = strip filename string ./
set temperature = string integer decimal strip split filename string _ at 1... | def split_name(filename):
# *********** My filename are in the format ./CaAl2Si2O8_T3_nvt_a12.5.
# ******* so I can split their name with _ and take the compound and T from their name
filename = filename.strip('./')
temperature = str(int(float(filename.split('_')[1].strip('T'))*1000))
acell = filena... | Python | nomic_cornstack_python_v1 |
function korean_pron text
begin
comment print("바꾸기전:" + text)
for tuple i j in items korean_rule
begin
for k in j
begin
if text == k
begin
set text = i
end
end
end
comment print("바뀐후(문자):" + text)
for tuple i j in items korean_number_system
begin
for k in i
begin
if text == k
begin
set text = string j
end
end
end
comme... | def korean_pron(text):
# print("바꾸기전:" + text)
for i, j in korean_rule.items():
for k in j:
if (text == k):
text = i
# print("바뀐후(문자):" + text)
for i, j in korean_number_system.items():
for k in i:
if (text == k):
text = str(j)
... | Python | zaydzuhri_stack_edu_python |
class OnCloseCallbackMixin
begin
set __on_close_callback = none
function set_on_close self callback
begin
set __on_close_callback = callback
end function
function on_close self
begin
if __on_close_callback is not none
begin
call __on_close_callback
end
end function
end class | class OnCloseCallbackMixin:
__on_close_callback = None
def set_on_close(self, callback: callable):
self.__on_close_callback = callback
def on_close(self):
if self.__on_close_callback is not None:
self.__on_close_callback()
| Python | zaydzuhri_stack_edu_python |
function threeKeywordSuggestions numReviews repository customerQuery
begin
comment loop over each character of the customerQuery
comment create new subQuery based on that
comment loop over each word in the repo
comment see if it starts with the subQuery
set outputs = list
set loweredRepo = sorted list comprehension lo... | def threeKeywordSuggestions(numReviews, repository, customerQuery):
# loop over each character of the customerQuery
# create new subQuery based on that
# loop over each word in the repo
# see if it starts with the subQuery
outputs = []
loweredRepo = sorted([word.lower() for word in repository])
... | Python | zaydzuhri_stack_edu_python |
comment Custom fields for django models
from django.db import models
from django.core.serializers.json import DjangoJSONEncoder
import json
comment Extending DjangoJSONEncoder for serialize custom classes.
class CustomJSONEncoder extends DjangoJSONEncoder
begin
function default self obj
begin
try
begin
return call defa... | # Custom fields for django models
from django.db import models
from django.core.serializers.json import DjangoJSONEncoder
import json
# Extending DjangoJSONEncoder for serialize custom classes.
class CustomJSONEncoder(DjangoJSONEncoder):
def default(self, obj):
try:
return DjangoJSONEncoder.de... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- codind:utf-8 -*-
comment Author:ljb
set salary = input string input your salary:
if is digit salary
begin
set salary = integer salary
end
else
begin
exit string invalid data type
end
set welcome_msg = call center 50 string -
print welcome_msg
set exit_flags = true
set product_li... | #!/usr/bin/env python
# -*- codind:utf-8 -*-
#Author:ljb
salary = input('input your salary:')
if salary.isdigit():
salary = int(salary)
else:
exit('invalid data type')
welcome_msg = "Welcome to My Shoping mail".center(50,'-')
print(welcome_msg)
exit_flags = True
product_list = [
('iphone',5000),
('M... | Python | zaydzuhri_stack_edu_python |
function installExceptionHandler handler=none
begin
set excepthook = if expression handler is not none then handler else baseExceptionHandler
return true
end function | def installExceptionHandler(handler=None):
sys.excepthook = handler if handler is not None else baseExceptionHandler
return True | Python | nomic_cornstack_python_v1 |
function test_shuffle self
begin
comment Workaround for small deck sizes causing shuffled decks to
comment retain the original order
for card in card_list * 10
begin
call insert_card card
end
reverse card_list
shuffle deck
assert not equal card_list card_list * 10
end function | def test_shuffle(self):
# Workaround for small deck sizes causing shuffled decks to
# retain the original order
for card in self.card_list*10:
self.deck.insert_card(card)
self.card_list.reverse()
self.deck.shuffle()
self.assertNotEqual(self.deck.card_list, sel... | Python | nomic_cornstack_python_v1 |
comment -*- coding: cp1252
function main
begin
string El usuario ingresa la tarifa por segundo, cuántas comunicaciones se realizaron. y la duración de cada comunicación expresadas en horas. minutos y segundos.Como resultado se informa la duración en segundos de cada comunicación y su costo.
set f = input string ¿Cuánto... | # -*- coding: cp1252
def main():
"""El usuario ingresa la tarifa por segundo, cuántas
comunicaciones se realizaron. y la duración de cada
comunicación expresadas en horas. minutos y segundos.Como resultado se informa la duración en
segundos de cada comunicación y su costo."""
f = input("¿... | Python | zaydzuhri_stack_edu_python |
function product x y
begin
return x * y
end function | def product(x, y):
return x * y | Python | jtatman_500k |
import pandas as pd
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers import Conv1D , Dense , Flatten , Dropout , GlobalMaxPooling1D , Embedding
from sklearn.model_selection import train_test_split
from python_file... | import pandas as pd
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers import Conv1D, Dense, Flatten, Dropout, GlobalMaxPooling1D, Embedding
from sklearn.model_selection import train_test_split
from python_files ... | Python | zaydzuhri_stack_edu_python |
function dispatch_dl distribution_u_want a
begin
return call get dict string bernoulli lambda -> 1.0 + a ; string geometric lambda -> 1.0 / 1.0 - a ; string exponential lambda -> - 1.0 / a distribution_u_want lambda -> none
end function | def dispatch_dl(distribution_u_want, a):
return {
'bernoulli': lambda: 1. + a,
'geometric': lambda: 1. / (1. - a),
'exponential': lambda: -1. / a,
}.get(distribution_u_want, lambda: None)() | Python | nomic_cornstack_python_v1 |
async function read self num_bytes=0
begin
if num_bytes < 1
begin
set num_bytes = in_waiting or 1
end
return await call _read num_bytes
end function | async def read(self, num_bytes=0) -> bytes:
if num_bytes < 1:
num_bytes = self.in_waiting or 1
return await self._read(num_bytes) | Python | nomic_cornstack_python_v1 |
import hashlib
import binascii
comment entrer le secret
function mot10char
begin
set secret = input string Donnez un secret de 10 caractères au maximum :
while length secret > 11
begin
set secret = input string C'est beaucoup trop long, 10 caractères S.V.P :
end
return secret
end function
function long_message
begin
se... | import hashlib
import binascii
def mot10char(): # entrer le secret
secret = input("Donnez un secret de 10 caractères au maximum : ")
while (len(secret) > 11):
secret = input("C'est beaucoup trop long, 10 caractères S.V.P : ")
return (secret)
def long_message():
secret = input("Enter a secret... | Python | zaydzuhri_stack_edu_python |
string 206. Reverse Linked List Reverse a singly linked list. Example: Input: 1->2->3->4->5->NULL Output: 5->4->3->2->1->NULL Follow up: A linked list can be reversed either iteratively or recursively. Could you implement both?
comment Definition for singly-linked list.
class ListNode
begin
function __init__ self val=0... | '''
206. Reverse Linked List
Reverse a singly linked list.
Example:
Input: 1->2->3->4->5->NULL
Output: 5->4->3->2->1->NULL
Follow up:
A linked list can be reversed either iteratively or recursively. Could you implement both?
'''
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, nex... | Python | zaydzuhri_stack_edu_python |
function plot_environment_and_mean self
begin
set fig = figure
set ax = call Axes3D fig
call set_title string Environment, Mean and Data on a 3d Plot
call set_xlabel string Action
call set_ylabel string Context
call set_zlabel string Reward
comment plot self.mu on a wire frame.
call plot_wireframe input_mesh at 0 input... | def plot_environment_and_mean(self):
fig = plt.figure()
ax = Axes3D(fig)
ax.set_title('Environment, Mean and Data on a 3d Plot')
ax.set_xlabel('Action')
ax.set_ylabel('Context')
ax.set_zlabel('Reward')
# plot self.mu on a wire frame.
ax.plot_wireframe(self.input_mesh[0], self.input_mesh... | Python | nomic_cornstack_python_v1 |
function safe_bulk_metadata ids marc=false sleep_time=1
begin
try
begin
set metadata = call get_bulk_metadata ids marc
if sleep_time
begin
sleep sleep_time
end
return metadata
end
except ValueError as err
begin
error err
return dictionary
end
end function | def safe_bulk_metadata(ids, marc=False, sleep_time=1):
try:
metadata = get_bulk_metadata(ids, marc)
if sleep_time:
sleep(sleep_time)
return metadata
except ValueError as err:
logging.error(err)
return dict() | Python | nomic_cornstack_python_v1 |
from PIL import Image
import colorsys
import time
set start_time = call clock
function color_comp
begin
print string File name?
set img = input string
try
begin
set im = open img string r
set tuple width height = size
comment converted = list(map(lambda x: colorsys.rgb_to_hsv(*x), list(im.getdata())))
comment return co... | from PIL import Image
import colorsys
import time
start_time = time.clock()
def color_comp():
print("File name?")
img = input("")
try:
im = Image.open(img, 'r')
width, height = im.size
#converted = list(map(lambda x: colorsys.rgb_to_hsv(*x), list(im.getdata())))
#return converted[100]
x = [colorsys.rgb... | Python | zaydzuhri_stack_edu_python |
string QuinteroMichael_complex_CRI1_1404 Michael Quintero How to Run: import QuinteroMichael_complex_CRI1_1404 reload(QuinteroMichael_complex_CRI1_1404)
import pymel.core as pm | '''
QuinteroMichael_complex_CRI1_1404
Michael Quintero
How to Run:
import QuinteroMichael_complex_CRI1_1404
reload(QuinteroMichael_complex_CRI1_1404)
'''
import pymel.core as pm | Python | zaydzuhri_stack_edu_python |
comment My Solution
function isUnique str
begin
set d = dictionary
for i in str
begin
if get d i 0 == 0
begin
set d at i = 1
end
else
begin
set d at i = d at i + 1
end
end
for tuple _ j in items d
begin
if j != 1
begin
return false
end
end
return true
end function
print call isUnique string asdf!!
comment Another Solut... | # My Solution
def isUnique(str):
d = dict()
for i in str:
if d.get(i,0) == 0:
d[i] = 1
else:
d[i] += 1
for _, j in d.items():
if j != 1:
return False
return True
print(isUnique("asdf!!"))
# Another Solution
import unittest
def isUnique(strin... | Python | zaydzuhri_stack_edu_python |
function runIsing
begin
set energies = zeros STEPS
set mags = zeros STEPS
with open PATH + string / + string round T 2 + string _ + string SIZE + string _ + string STEPS + string .csv string w newline=string as csvfile
begin
set testWriter = writer csvfile delimiter=string quotechar=string | quoting=QUOTE_MINIMAL
writ... | def runIsing():
energies = np.zeros(STEPS)
mags = np.zeros(STEPS)
with open(PATH +'/' +str(round(T, 2)) + '_' + str(SIZE) + '_'+ str(STEPS)+'.csv', 'w', newline='') as csvfile:
testWriter = csv.writer(csvfile, delimiter=' ',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
... | Python | nomic_cornstack_python_v1 |
from turtle import *
comment CREATE FUNCTIONS FOR EACH SHAPE
comment TRIANGLE
function tri
begin
for i in range 3
begin
call forward 150
call right 120
end
end function
comment mainloop()
comment SQUARE
function squ
begin
call forward 100
call right 90
call forward 100
call right 90
call forward 100
call right 90
call ... | from turtle import *
## CREATE FUNCTIONS FOR EACH SHAPE
# TRIANGLE
def tri():
for i in range(3):
forward(150)
right(120)
# mainloop()
# SQUARE
def squ():
forward(100)
right(90)
forward(100)
right(90)
forward(100)
right(90)
forward(100)
# mainloop()
# PENTAGON
... | Python | zaydzuhri_stack_edu_python |
function nodata self
begin
set nodatas = list comprehension call GetNoDataValue for i in range 1 bands + 1
if length list set nodatas == 1
begin
return nodatas at 0
end
else
begin
return nodatas
end
end function | def nodata(self):
nodatas = [self.raster.GetRasterBand(i).GetNoDataValue()
for i in range(1, self.bands + 1)]
if len(list(set(nodatas))) == 1:
return nodatas[0]
else:
return nodatas | Python | nomic_cornstack_python_v1 |
comment LIST(Mutable, Hetrogenous)
string list_1 = ['History', 'Math', 'Physics', 'CompSci'] #some list functions print(len(list_1)) print(list_1[0]) print(list_1[-1]) # -1 starting from the last print(list_1[0:2]) #last index (here 2) will not ne included print(list_1[:2]) # same as above print(list_1[2:]) # 2(includi... | #LIST(Mutable, Hetrogenous)
"""
list_1 = ['History', 'Math', 'Physics', 'CompSci']
#some list functions
print(len(list_1))
print(list_1[0])
print(list_1[-1]) # -1 starting from the last
print(list_1[0:2]) #last index (here 2) will not ne included
print(list_1[:2]) # same as above
print(list_1[2:]) # 2(including) to e... | Python | zaydzuhri_stack_edu_python |
import uuid
from class_email import Email
from example_data import applicants
from model.model_base import *
from model.model_city import City
from model.model_mentor import Mentor
from model.model_school import School
from model.model_interviewslot import InterviewSlot
class Applicant extends BaseModel
begin
string Ap... | import uuid
from class_email import Email
from example_data import applicants
from model.model_base import *
from model.model_city import City
from model.model_mentor import Mentor
from model.model_school import School
from model.model_interviewslot import InterviewSlot
class Applicant(BaseModel):
""" Applicant... | Python | zaydzuhri_stack_edu_python |
comment coding: utf-8
string Context Helpers for unit test data.
comment -----------------------------------------------------------------------------
comment Imports
comment -----------------------------------------------------------------------------
from typing import TYPE_CHECKING , Optional , Type , Dict
if TYPE_C... | # coding: utf-8
'''
Context Helpers for unit test data.
'''
# -----------------------------------------------------------------------------
# Imports
# -----------------------------------------------------------------------------
from typing import TYPE_CHECKING, Optional, Type, Dict
if TYPE_CHECKING:
import uni... | Python | zaydzuhri_stack_edu_python |
function hex_to_dec hex_str
begin
set hex_dict = dict string 0 0 ; string 1 1 ; string 2 2 ; string 3 3 ; string 4 4 ; string 5 5 ; string 6 6 ; string 7 7 ; string 8 8 ; string 9 9 ; string a 10 ; string b 11 ; string c 12 ; string d 13 ; string e 14 ; string f 15
set user_input = input string Enter a hexadecimal valu... | def hex_to_dec(hex_str):
hex_dict = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7, '8': 8, '9': 9, 'a': 10 , 'b': 11, 'c': 12, 'd': 13, 'e': 14, 'f': 15}
user_input = input("Enter a hexadecimal value you would like to convert to a decimal: ")
length = len(user_input) -1
for digit in ... | Python | zaydzuhri_stack_edu_python |
function schedule_workflow self workflow_uuid
begin
set current_time = call get_current_time
set workflow = workflows at workflow_uuid
comment IMPORTANT: tasks are not scheduled by eft because they will
comment be automatically sorted in event loop.
for task in tasks
begin
if not parents
begin
call add_event event=even... | def schedule_workflow(self, workflow_uuid: str) -> None:
current_time = self.event_loop.get_current_time()
workflow = self.workflows[workflow_uuid]
# IMPORTANT: tasks are not scheduled by eft because they will
# be automatically sorted in event loop.
for task in workflow.task... | Python | nomic_cornstack_python_v1 |
function deactivate self
begin
set active = 0
end function | def deactivate(self):
self.active = 0 | Python | nomic_cornstack_python_v1 |
function getAliasList self
begin
pass
end function | def getAliasList(self):
pass | Python | nomic_cornstack_python_v1 |
function field2str field
begin
return join string map join field
end function
function solve field words positions
begin
if not words
begin
print call field2str field
exit
end
set tuple words word = tuple words at slice : - 1 : words at - 1
for position in positions
begin
set tuple i j di dj = position
set go_furthe... | def field2str(field):
return '\n'.join(map(''.join, field))
def solve(field, words, positions):
if not words:
print(field2str(field))
exit()
words, word = words[:-1], words[-1]
for position in positions:
i, j, di, dj = position
go_further = True
next_field = [... | Python | zaydzuhri_stack_edu_python |
function prepare_dfs json_path get_CBS=false only_converged=false
begin
set data_dict = read json json_path
set df_qc = call qc_dframe data_dict only_converged=only_converged
set df_qats = call qats_dframe data_dict
if get_CBS
begin
set df_qc = call add_cbs_extrap_qc_df df_qc cbs_basis_key=string aug basis_set_lower=st... | def prepare_dfs(json_path, get_CBS=False, only_converged=False):
data_dict = read_json(json_path)
df_qc = qc_dframe(data_dict, only_converged=only_converged)
df_qats = qats_dframe(data_dict)
if get_CBS:
df_qc = add_cbs_extrap_qc_df(
df_qc, cbs_basis_key='aug', basis_set_lower='aug-cc... | Python | nomic_cornstack_python_v1 |
string @author: raghul
import numpy as np
class neural_network
begin
function __init__ self features_len
begin
set input_nodes = features_len
set output_nodes = 1
comment self.hidden_layer = 1
comment self.weight = np.random.randn(self.input_nodes, self.output_nodes)
set weight = zeros tuple input_nodes output_nodes dt... | '''
@author: raghul
'''
import numpy as np
class neural_network:
def __init__(self, features_len):
self.input_nodes = features_len
self.output_nodes = 1
#self.hidden_layer = 1
#self.weight = np.random.randn(self.input_nodes, self.output_nodes)
self.weight = np.zeros(... | Python | zaydzuhri_stack_edu_python |
import os , shutil
set theFolder = string build
set folders = list directory string .
for folder in folders
begin
if is directory path folder
begin
set file_path = join path folder theFolder
print string Deleting folowing directory: + file_path
try
begin
if is directory path file_path
begin
remove tree file_path
end
en... | import os, shutil
theFolder = 'build'
folders = os.listdir('.')
for folder in folders:
if os.path.isdir(folder):
file_path = os.path.join(folder, theFolder)
print( 'Deleting folowing directory: ' + file_path)
try:
if os.path.isdir(file_path):
shutil.rmtree(fil... | Python | zaydzuhri_stack_edu_python |
function bandreject self wllow wlhigh
begin
set new_phase = call bandreject_filter phase sample_spacing wllow wlhigh
set new_phase at ? call isfinite phase = nan
set phase = new_phase
return self
end function | def bandreject(self, wllow, wlhigh):
new_phase = bandreject_filter(self.phase, self.sample_spacing, wllow, wlhigh)
new_phase[~m.isfinite(self.phase)] = m.nan
self.phase = new_phase
return self | Python | nomic_cornstack_python_v1 |
function set_up_to_date self *outfile_names
begin
comment For efficiency, we can update many outfiles at once.
for outfile_name in outfile_names
begin
try
begin
set new_file_info = call get_transaction outfile_name
end
except tuple NameError AssertionError
begin
raise call KeyError string %s: Must call changed_files() ... | def set_up_to_date(self, *outfile_names):
# For efficiency, we can update many outfiles at once.
for outfile_name in outfile_names:
try:
new_file_info = self._db.get_transaction(outfile_name)
except (NameError, AssertionError):
raise KeyError(
... | Python | nomic_cornstack_python_v1 |
function test_traffic_alert_shuts_off_after_alert self
begin
set alert = call TrafficAlert
set test_traffic = deque
comment fake up some traffic
for i in range alert_threshold * alert_period + 1
begin
append test_traffic dict string time time ; string src_ip string 0.0.0.0 ; string path string /
end
comment trigger the... | def test_traffic_alert_shuts_off_after_alert(self):
alert = TrafficAlert()
test_traffic = collections.deque()
# fake up some traffic
for i in range(self.alert_threshold*self.alert_period + 1):
test_traffic.append({'time': time.time(),
'src_ip'... | Python | nomic_cornstack_python_v1 |
function given_name self
begin
return get pulumi self string given_name
end function | def given_name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "given_name") | Python | nomic_cornstack_python_v1 |
function my_kde_bandwidth obj fac=1.0 / 5
begin
return call power n - 1.0 / d + 4 * fac
end function | def my_kde_bandwidth(obj, fac=1./5):
return np.power(obj.n, -1./(obj.d+4)) * fac | Python | nomic_cornstack_python_v1 |
function get_contract_factory self contract_name
begin
try
begin
set interface = __raw_contract_cache at contract_name
end
except KeyError
begin
raise call UnknownContract format string {} is not a compiled contract. contract_name
end
set contract = call contract abi=interface at string abi bytecode=interface at string... | def get_contract_factory(self, contract_name) -> Contract:
try:
interface = self.__raw_contract_cache[contract_name]
except KeyError:
raise self.UnknownContract('{} is not a compiled contract.'.format(contract_name))
contract = self.w3.eth.contract(abi=interface['abi'],
... | Python | nomic_cornstack_python_v1 |
function sample_top a=list top_k=10
begin
set a = array a
set idx = call argsort a at slice : : - 1
set idx = idx at slice : top_k :
comment a = a[idx]
set probs = a at idx
set probs = probs / sum probs
set choice = random choice idx p=probs
return choice
end function | def sample_top(a=[], top_k=10):
a = np.array(a)
idx = np.argsort(a)[::-1]
idx = idx[:top_k]
# a = a[idx]
probs = a[idx]
probs = probs / np.sum(probs)
choice = np.random.choice(idx, p=probs)
return choice | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Fri May 25 14:03:00 2018 @author: edwin
comment Gráficas de temperaturas de las estaciones en la SAbana de Bogotá
import pandas as pd
import numpy as np
import os
import matplotlib.pyplot as plt
from matplotlib import style
function lista_nom... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 25 14:03:00 2018
@author: edwin
"""
#Gráficas de temperaturas de las estaciones en la SAbana de Bogotá
import pandas as pd
import numpy as np
import os
import matplotlib.pyplot as plt
from matplotlib import style
def lista_nombres(base):
b... | Python | zaydzuhri_stack_edu_python |
from tkinter import Tk , simpledialog , messagebox
function read_from_file
begin
with open string capital_data.txt as file
begin
for line in file
begin
set line = right strip line string
set tuple country city = split line string /
set world at country = city
end
end
end function
function write_to_file country_name cit... | from tkinter import Tk, simpledialog, messagebox
def read_from_file():
with open('capital_data.txt') as file:
for line in file:
line = line.rstrip('\n')
country, city = line.split('/')
world[country] = city
def write_to_file(country_name, city_name):
with open('capi... | Python | zaydzuhri_stack_edu_python |
function get_predicted_structure self structure icsd_vol=false
begin
set new_structure = copy structure
call scale_lattice predict self structure icsd_vol=icsd_vol
return new_structure
end function | def get_predicted_structure(self, structure, icsd_vol=False):
new_structure = structure.copy()
new_structure.scale_lattice(self.predict(structure, icsd_vol=icsd_vol))
return new_structure | Python | nomic_cornstack_python_v1 |
comment Helper for merging traces
function merge a b path=none
begin
set a = dictionary a
if path is none
begin
set path = list
end
for key in b
begin
if key in a and is instance a at key dict and is instance b at key dict
begin
set a at key = merge a at key b at key path + list string key
end
else
begin
set a at key ... | # Helper for merging traces
def merge(a, b, path=None):
a = dict(a)
if path is None: path = []
for key in b:
if key in a and isinstance(a[key], dict) and isinstance(b[key], dict):
a[key] = merge(a[key], b[key], path + [str(key)])
else:
a[key] = b[key]
return a
... | Python | zaydzuhri_stack_edu_python |
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output
import numpy as np
import pandas as pd
from sklearn.metrics.cluster import silhouette_score
import model
import dashboard.app_misc as misc
from dashboard.cache import cache
set clustering_dropdown = call Dropdown... | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output
import numpy as np
import pandas as pd
from sklearn.metrics.cluster import silhouette_score
import model
import dashboard.app_misc as misc
from dashboard.cache import cache
clustering_dropdown = misc.Dropdow... | Python | zaydzuhri_stack_edu_python |
function test_filtering_request_numeric_field_wrong_type flask_app
begin
set data = dict string criteria dict string price string test
with call test_request_context method=string POST json=data
begin
set validated_request = call validate_filter_request request
assert string error in validated_request and validated_req... | def test_filtering_request_numeric_field_wrong_type(flask_app):
data = {
'criteria': {
'price': 'test'
}
}
with flask_app.test_request_context(method='POST', json=data):
validated_request = request_helper.validate_filter_request(request)
assert ('error' in valida... | Python | nomic_cornstack_python_v1 |
function vit_small_patch16_224 pretrained=false **kwargs
begin
set model_kwargs = dictionary patch_size=16 embed_dim=768 depth=8 num_heads=8 mlp_ratio=3.0 qkv_bias=false norm_layer=LayerNorm keyword kwargs
if pretrained
begin
comment NOTE my scale was wrong for original weights, leaving this here until I have better on... | def vit_small_patch16_224(pretrained=False, **kwargs):
model_kwargs = dict(
patch_size=16, embed_dim=768, depth=8, num_heads=8, mlp_ratio=3.,
qkv_bias=False, norm_layer=nn.LayerNorm, **kwargs)
if pretrained:
# NOTE my scale was wrong for original weights, leaving this here until I have b... | Python | nomic_cornstack_python_v1 |
function update_calculator self id_ calc
begin
if not id_ in __calculators
begin
return call Err string not_found
end
set __calculators at id_ = calc
return call Ok calc
end function | def update_calculator(self, id_: str, calc: Calculator) -> Result[Calculator, str]:
if not id_ in self.__calculators:
return Err('not_found')
self.__calculators[id_] = calc
return Ok(calc) | Python | nomic_cornstack_python_v1 |
function toFlatDict dictvalue
begin
set keys = keys dictvalue
set todelete = list
set toadd = dict
comment Flat the dict array
for key in keys
begin
if is instance dictvalue at key dict
begin
set subkeys = dictvalue at key
for subkey in subkeys
begin
set fullsubkey = string %(key)s.%(subkey)s % locals
set toadd at fu... | def toFlatDict(dictvalue):
keys = dictvalue.keys()
todelete = []
toadd = {}
# Flat the dict array
for key in keys:
if isinstance(dictvalue[key],dict):
subkeys = dictvalue[key]
for subkey in subkeys:
fullsubkey = '%(key)s.%(subkey)s' % locals()
... | Python | nomic_cornstack_python_v1 |
function test_delete_self_authenticated_as_superuser self
begin
comment Login as normal user
set authenticated = call login username=admin at string email password=admin at string password
assert true authenticated
comment Delete self
set delete_url = reverse call get_url_name __name__ string api-profile-delete kwargs=... | def test_delete_self_authenticated_as_superuser(self):
# Login as normal user
authenticated = self.client.login(username=self.admin['email'],
password=self.admin['password'])
self.assertTrue(authenticated)
# Delete self
delete_url = reverse(get_url_name(__name__, 'ap... | Python | nomic_cornstack_python_v1 |
comment Lists can be nested, that is called matrix
set nested_list = list list 0 1 list 10 11 list 100 111
print nested_list
comment Use multiple index to refer a specific item
print nested_list at 0 nested_list at 1 at 1
comment Create matrix
set matrix = list
set n = 3
comment Method 1
for i in range n
begin
set mat... | # Lists can be nested, that is called matrix
nested_list = [[0, 1], [10, 11], [100, 111]]
print(nested_list)
# Use multiple index to refer a specific item
print(nested_list[0], nested_list[1][1])
# Create matrix
matrix = []
n = 3
# Method 1
for i in range(n):
matrix += [[0] * n]
print(matrix)
# Method 2
matrix... | Python | zaydzuhri_stack_edu_python |
from django.shortcuts import render , redirect
from models import Product , Movie
import pdb
comment Create your views here.
function main request
begin
return call render request string product/main.html
end function
function list request
begin
set product = all
set context = dict string product product
return call re... | from django.shortcuts import render, redirect
from .models import Product, Movie
import pdb
# Create your views here.
def main(request):
return render(request, 'product/main.html')
def list(request):
product = Product.objects.all()
context = {
'product': product,
}
return render(reque... | Python | zaydzuhri_stack_edu_python |
string Created on 2019年5月15日 @author: Tree 使用python语言实现决策树中的ID3算法. 要求: 1.按要求补全下面缺失的代码. 2.不用实现剪枝和树的可视化. 3.本次实验的输入、输出、代码内部的数据处理和计算 都用ndarray(numpy).(在本实验中，所有函数输入的数据集，默认最后一列为"标签") 4.写代码的时候可以用"银行贷款数据"，最后测试用蘑菇分类数据集. 5.这次实验以个人为单位，每人交一份自己写的代码，星期五晚班长统一发我.(备注好 姓名、班级、学号) 6.参考资料"机器学习实战.pdf"，第三章决策树.
string 需要用到的包
import math
impor... | '''
Created on 2019年5月15日
@author: Tree
使用python语言实现决策树中的ID3算法.
要求:
1.按要求补全下面缺失的代码.
2.不用实现剪枝和树的可视化.
3.本次实验的输入、输出、代码内部的数据处理和计算 都用ndarray(numpy).(在本实验中，所有函数输入的数据集，默认最后一列为"标签")
4.写代码的时候可以用"银行贷款数据"，最后测试用蘑菇分类数据集.
5.这次实验以个人为单位，每人交一份自己写的代码，星期五晚班长统一发我.(备注好 姓名、班级、学号)
6.参考资料"机器学习实战.pdf"，第三章决策树.
'''
'''
需要用到的包
'''
import math
... | Python | zaydzuhri_stack_edu_python |
function step_wait self
begin
set tuple obs_tuple rews news infos = call step_wait
set tuple obs_img obs_measure = call process_obs obs_tuple
set ret = ret * gamma + rews
set obs = call _obfilt obs_img
if ret_rms
begin
update ret_rms ret
set rews = call clip rews / square root var + epsilon - cliprew cliprew
end
return... | def step_wait(self):
obs_tuple, rews, news, infos = self.venv.step_wait()
obs_img, obs_measure = self.process_obs(obs_tuple)
self.ret = self.ret * self.gamma + rews
obs = self._obfilt(obs_img)
if self.ret_rms:
self.ret_rms.update(self.ret)
rews = np.clip(r... | Python | nomic_cornstack_python_v1 |
comment print(type(make_dict))
set name = list string Shirshak string yug string ram string hari
set ages = list 21 16 15 12
set counter = 0
for names in name
begin
set make_dict at names = ages at counter
set counter = counter + 1
end
print make_dict
print string a string b string c
print string hello string shirshak
... | #print(type(make_dict))
name=["Shirshak","yug","ram","hari"]
ages=[21,16,15,12]
counter=0
for names in name:
make_dict[names]=ages[counter]
counter=counter+1
print(make_dict)
print("a","b","c")
print ("hello","shirshak")
print("hello"+"shirshak") | Python | zaydzuhri_stack_edu_python |
import numpy as np
import layers
class PolicyNet extends object
begin
string Policy network consisting of two dense layers.
function __init__ self input_dim num_actions nhidden=100
begin
string Initialize a new network.
comment initialize weights and biases
set params = dict
set params at string W1 = randn nhidden inp... | import numpy as np
import layers
class PolicyNet(object):
"""
Policy network consisting of two dense layers.
"""
def __init__(self, input_dim, num_actions, nhidden=100):
"""
Initialize a new network.
"""
# initialize weights and biases
self.params = {}
... | Python | zaydzuhri_stack_edu_python |
comment This files contains your custom actions which can be used to run
comment custom Python code.
comment See this guide on how to implement these action:
comment https://rasa.com/docs/rasa/core/actions/#custom-actions/
from typing import Any , Text , Dict , List
from rasa_sdk import Action , Tracker
from rasa_sdk.e... | # This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/core/actions/#custom-actions/
from typing import Any, Text, Dict, List
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import Collecti... | Python | zaydzuhri_stack_edu_python |
function clear cls fn
begin
if has attribute fn CACHE_VAR
begin
delete attribute fn CACHE_VAR
end
end function | def clear(cls, fn: AnyFunction):
if hasattr(fn, cls.CACHE_VAR):
delattr(fn, cls.CACHE_VAR) | Python | nomic_cornstack_python_v1 |
function setup hass config
begin
from influxdb import InfluxDBClient , exceptions
if not call validate_config config dict DOMAIN list string host CONF_USERNAME CONF_PASSWORD _LOGGER
begin
return false
end
set conf = config at DOMAIN
set host = conf at CONF_HOST
set port = call convert get conf CONF_PORT int DEFAULT_POR... | def setup(hass, config):
from influxdb import InfluxDBClient, exceptions
if not validate_config(config, {DOMAIN: ['host',
CONF_USERNAME,
CONF_PASSWORD]}, _LOGGER):
return False
conf = config[DOMAIN]
host... | Python | nomic_cornstack_python_v1 |
import tkinter as tk
from tkinter import ttk
set root = call Tk
title root string Quotes Table
comment create a table of quote objects
set tree = call Treeview root columns=list string name string quote show=string headings
call column string name width=100 anchor=string w
call heading string name text=string Name
call... | import tkinter as tk
from tkinter import ttk
root = tk.Tk()
root.title('Quotes Table')
# create a table of quote objects
tree = ttk.Treeview(root, columns=['name', 'quote'], show = 'headings')
tree.column('name', width=100, anchor='w')
tree.heading('name', text='Name')
tree.column('quote', width=300, anchor='w')
tr... | Python | jtatman_500k |
function save self
begin
comment Save the GUI state version.
call _save_global
call _save_local
end function | def save(self):
# Save the GUI state version.
self._save_global()
self._save_local() | Python | nomic_cornstack_python_v1 |
comment https://github.com/orisano/owiener
import owiener
set c = 0
set e = 0
set N = 0
set d = call attack e N
if d is none
begin
print string Failed
end
else
begin
print format string Hacked d={} d
end
set dec = power c d N
set dx = hexadecimal dec at slice 2 : :
set msg = list
for i in range 0 length ds 2
begin
s... | import owiener #https://github.com/orisano/owiener
c = 0
e = 0
N = 0
d = owiener.attack(e, N)
if d is None:
print("Failed")
else:
print("Hacked d={}".format(d))
dec = pow(c, d, N)
dx = hex(dec)[2:]
msg = []
for i in range(0, len(ds), 2):
c = chr(int(dx[i:i+2], 16))
# print(ds[i:i+2])
# print(c)... | Python | zaydzuhri_stack_edu_python |
function _auto_fill_metrics self result
begin
set current_time = time
set current_datetime = now
if TIME_THIS_ITER_S in result
begin
set time_this_iter = result at TIME_THIS_ITER_S
end
else
begin
set time_this_iter = current_time - last_report_time
end
set iteration = iteration + 1
set time_total = time_total + time_th... | def _auto_fill_metrics(self, result: dict) -> dict:
current_time = time.time()
current_datetime = datetime.now()
if TIME_THIS_ITER_S in result:
time_this_iter = result[TIME_THIS_ITER_S]
else:
time_this_iter = current_time - self.last_report_time
self.itera... | Python | nomic_cornstack_python_v1 |
function sum_list l
begin
string This function returns the sum of all the values in a list
set sum = 0
for val in l
begin
set sum = sum + val
end
return sum
end function | def sum_list(l):
'''This function returns the sum of all the values in a list'''
sum = 0
for val in l:
sum = sum + val
return sum | Python | jtatman_500k |
if a < 0 or a > 23
begin
print string Hora inválida
end
else
if a > 3 and a < 12
begin
print string Bom dia
end
else
if a >= 12 and a < 18
begin
print string Boa tarde
end
else
begin
print string boa noite
end | if a<0 or a>23:
print('Hora inválida')
else:
if a>3 and a<12:
print('Bom dia')
elif a>=12 and a<18:
print('Boa tarde')
else:
print('boa noite') | Python | zaydzuhri_stack_edu_python |
import math
function masses_from_file
begin
return list comprehension integer line for line in read lines open string input
end function
function fuel_for mass
begin
return floor mass / 3 - 2
end function
function total_fuel_for mass total=0
begin
set fuel = call fuel_for mass
if fuel <= 0
begin
return total
end
return... | import math
def masses_from_file():
return [int(line) for line in open('input').readlines()]
def fuel_for(mass):
return math.floor(mass / 3) - 2
def total_fuel_for(mass, total=0):
fuel = fuel_for(mass)
if fuel <= 0:
return total
return total_fuel_for(fuel, total + fuel)
def required_fuel... | Python | zaydzuhri_stack_edu_python |
function test_list_date_max_length_nistxml_sv_iv_list_date_max_length_1_2 mode save_output output_format
begin
call assert_bindings schema=string nistData/list/date/Schema+Instance/NISTSchema-SV-IV-list-date-maxLength-1.xsd instance=string nistData/list/date/Schema+Instance/NISTXML-SV-IV-list-date-maxLength-1-2.xml cla... | def test_list_date_max_length_nistxml_sv_iv_list_date_max_length_1_2(mode, save_output, output_format):
assert_bindings(
schema="nistData/list/date/Schema+Instance/NISTSchema-SV-IV-list-date-maxLength-1.xsd",
instance="nistData/list/date/Schema+Instance/NISTXML-SV-IV-list-date-maxLength-1-2.xml",
... | Python | nomic_cornstack_python_v1 |
function randGaussianV2 mean stdev coveigen datasize nData
begin
from numpy import random , diag
comment mean and standard deviation
set tuple mu sigma = tuple call matrix mean call matrix stdev
comment generate random samples from normal (gaussian) => normalized independent Gaussian random variables
set R = call matri... | def randGaussianV2(mean,stdev,coveigen,datasize,nData):
from numpy import random, diag
mu, sigma = matrix(mean), matrix(stdev) # mean and standard deviation
R = matrix(random.randn(int(datasize), nData)) # generate random samples from normal (gaussian) => normalized independent Gaussian random variab... | Python | nomic_cornstack_python_v1 |
function get_subgraph self v=none hop=none
begin
if v == none
begin
set v = source_node
end
if hop == none
begin
set hop = _obs_hop
end
set n_hop_tree = call dfs_tree graph v hop
set _current_subgraph = call subgraph graph n_hop_tree
return _current_subgraph
end function | def get_subgraph(self, v=None, hop=None):
if v == None:
v = self.source_node
if hop == None:
hop = self._obs_hop
n_hop_tree = nx.dfs_tree(self.graph, v, hop)
self._current_subgraph = nx.subgraph(self.graph, n_hop_tree)
return self._current_subgraph | Python | nomic_cornstack_python_v1 |
function response_delete request obj_display
begin
return call HttpResponseRedirect reverse string admin:establishment_system
end function | def response_delete(request, obj_display):
return HttpResponseRedirect(reverse('admin:establishment_system')) | Python | nomic_cornstack_python_v1 |
function check_standard_unique self
begin
set standard_search = search list tuple string standard_id string = id tuple string division_id string = id tuple string school_id string = id tuple string id string not in ids
if standard_search
begin
raise call ValidationError call _ string La division et la classe doivent êt... | def check_standard_unique(self):
standard_search = self.env['school.standard'
].search([('standard_id', '=',
self.standard_id.id),
('division_id', '=',
... | Python | nomic_cornstack_python_v1 |
comment A substring is a contiguous (non-empty) sequence of characters within a
comment string.
comment A vowel substring is a substring that only consists of vowels ('a', 'e', 'i',
comment 'o', and 'u') and has all five vowels present in it.
comment Given a string word, return the number of vowel substrings in word.
c... | # A substring is a contiguous (non-empty) sequence of characters within a
# string.
#
# A vowel substring is a substring that only consists of vowels ('a', 'e', 'i',
# 'o', and 'u') and has all five vowels present in it.
#
# Given a string word, return the number of vowel substrings in word.
#
#
# Example ... | Python | zaydzuhri_stack_edu_python |
function test_urole_remove self
begin
comment Add a user-defined User for our tests
set user2 = dict string name string user2 ; string description string User #2 ; string type string standard ; string authentication-type string local ; string password string bla ; string password-rule-uri string /api/console/password-r... | def test_urole_remove(self):
# Add a user-defined User for our tests
user2 = {
'name': 'user2',
'description': 'User #2',
'type': 'standard',
'authentication-type': 'local',
'password': 'bla',
'password-rule-uri': '/api/console/pas... | Python | nomic_cornstack_python_v1 |
import yaml
from appium.webdriver.webdriver import WebDriver
from selenium.webdriver.common.by import By
from selenium.webdriver.remote.webelement import WebElement
from po_test_hysapp.driver.hysClient import HysClient
from datetime import datetime
import allure
import os
import logging
import time
class HysBase extend... | import yaml
from appium.webdriver.webdriver import WebDriver
from selenium.webdriver.common.by import By
from selenium.webdriver.remote.webelement import WebElement
from po_test_hysapp.driver.hysClient import HysClient
from datetime import datetime
import allure
import os
import logging
import time
class HysBase(obje... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
import math
set l = list 2 3
for i in range 5 101
begin
for j in range 2 integer square root i + 1
begin
if i % j == 0
begin
break
end
end
for else
begin
append l i
end
end
print join string map str l
comment In[ ]: | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import math
l=[2,3]
for i in range(5,101):
for j in range(2,int(math.sqrt(i))+1):
if i%j==0:
break
else:
l.append(i)
print(" ".join(map(str,l)))
# In[ ]:
| Python | zaydzuhri_stack_edu_python |
from typing import List
class Node
begin
function __init__ self data
begin
set data = data
set next_node = none
end function
function __repr__ self
begin
return data
end function
end class
class LinkedList
begin
function __init__ self nodes=none
begin
set head = none
if nodes is not none
begin
set node = call Node data... | from typing import List
class Node:
def __init__(self, data)-> None:
self.data = data
self.next_node = None
def __repr__(self) -> str:
return self.data
class LinkedList:
def __init__(self, nodes=None) -> None:
self.head = None
if nodes is not None:
... | Python | zaydzuhri_stack_edu_python |
function get_val var
begin
if is instance var TensorVariable
begin
return test_value
end
if is instance var TensorConstant
begin
return value
end
if is instance var SharedVariable
begin
return call get_value
end
return var
end function | def get_val(var):
if isinstance(var, tt.TensorVariable):
return var.tag.test_value
if isinstance(var, tt.TensorConstant):
return var.value
if isinstance(var, tt.SharedVariable):
return var.get_value()
return(var) | Python | nomic_cornstack_python_v1 |
function first_of deps
begin
call mark_hidden deps
decorator call datasource deps
function inner broker
begin
for c in deps
begin
if c in broker
begin
return broker at c
end
end
end function
return inner
end function | def first_of(deps):
dr.mark_hidden(deps)
@datasource(deps)
def inner(broker):
for c in deps:
if c in broker:
return broker[c]
return inner | Python | nomic_cornstack_python_v1 |
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