code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
import numpy as np
import sys , os
set fileName = string bla.dat
set file = open fileName string r
set lines = read lines file
for line in lines
begin
if strip line
begin
set tempLine = strip line
set tempLine = strip tempLine string ]
set content = split tempLine string
comment last_entry = content[-1]
set last_entry ... | import numpy as np
import sys, os
fileName = "bla.dat"
file = open(fileName,"r")
lines = file.readlines()
for line in lines:
if line.strip():
tempLine = line.strip()
tempLine = tempLine.strip("]")
content = tempLine.split(" ")
# last_entry = content[-1]
last_entry = co... | Python | zaydzuhri_stack_edu_python |
import pytest
comment num1 = int(input('Qual a quantidade de caixa de fosforo? '))
set num1 = 10
print string O numero escolhido foi: { num1 }
print string Lembrete: A caixa contém 40 palitos
set num2 = 40
function calcular_fosforos num1 num2
begin
return num1 * num2
end function
print string O numero total de palitos ... | import pytest
# num1 = int(input('Qual a quantidade de caixa de fosforo? '))
num1 = 10
print(f'O numero escolhido foi: {num1}')
print('Lembrete: A caixa contém 40 palitos')
num2 = 40
def calcular_fosforos(num1, num2):
return num1 * num2
print(f'O numero total de palitos é: {calcular_fosforos(num1, num2)}')
# ... | Python | zaydzuhri_stack_edu_python |
import serial
from flask import Flask
set ser = call Serial string /dev/tty.usbmodem1411 9600
set app = call Flask __name__
decorator call route string /
function hello
begin
return string Hello World!
end function
decorator call route string /command/<int:option>
function command option
begin
write ser string %d % opt... | import serial
from flask import Flask
ser = serial.Serial('/dev/tty.usbmodem1411', 9600)
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello World!"
@app.route('/command/<int:option>')
def command(option):
ser.write("%d" % option)
answer = ser.readline()
return answer
if __name__ =... | Python | zaydzuhri_stack_edu_python |
comment Sort data based on keys in alphabetical order
set sorted_data = sorted items data key=lambda x -> x at 0
comment Iterate over sorted data
for tuple name details in sorted_data
begin
print string Name: { details at string name }
comment Reverse order of languages
set reversed_languages = details at string langua... | # Sort data based on keys in alphabetical order
sorted_data = sorted(data.items(), key=lambda x: x[0])
# Iterate over sorted data
for name, details in sorted_data:
print(f"Name: {details['name']}")
# Reverse order of languages
reversed_languages = details["languages"][::-1]
print(f"Languages: {', '.jo... | Python | greatdarklord_python_dataset |
function read self
begin
return __items__ at 0
end function | def read(self):
return self.__items__[0] | Python | nomic_cornstack_python_v1 |
function counter s
begin
set ans = list
for l in letters
begin
set n = count s l
if n != 0
begin
append ans n
end
end
if sum ans - max ans == max ans
begin
return string YES
end
else
begin
return string NO
end
end function
set ANS = list
set T = integer strip input string
for l in range T
begin
set str1 = input
appen... | def counter(s):
ans = []
for l in letters:
n = s.count(l)
if n != 0:
ans.append(n)
if sum(ans) - max(ans) == max(ans):
return 'YES'
else:
return 'NO'
ANS = []
T = int(input().strip(' '))
for l in range(T):
str1 = input()
ANS.appen... | Python | zaydzuhri_stack_edu_python |
function shouldhave self thisfile
begin
if not is file path thisfile
begin
call logtxt string ERROR: expected file (%s/%s) does not exist! % tuple get current directory thisfile string error
end
end function | def shouldhave(self, thisfile):
if not os.path.isfile(thisfile):
self.logtxt("ERROR: expected file (%s/%s) does not exist!" %
(os.getcwd(), thisfile), 'error') | Python | nomic_cornstack_python_v1 |
function title self
begin
return _title
end function | def title(self) -> str:
return self._title | Python | nomic_cornstack_python_v1 |
comment -*- coding:utf-8 -*-
set content = string 我是中文
set content_unicode = decode content string utf-8
set content_gbk = encode content_unicode string gbk | # -*- coding:utf-8 -*-
content = "我是中文"
content_unicode = content.decode("utf-8")
content_gbk = content_unicode.encode("gbk") | Python | zaydzuhri_stack_edu_python |
from __future__ import division
import sys
import Adafruit_BMP.BMP085 as BMP085
comment Calibrate the altitude to output a value more close to the GPS
comment altitude calculated. This calibrated altitude will be used for
comment pressure and sea level pressure calculations
set altOffset = 98.6
comment The average sea ... | from __future__ import division
import sys
import Adafruit_BMP.BMP085 as BMP085
# Calibrate the altitude to output a value more close to the GPS
# altitude calculated. This calibrated altitude will be used for
# pressure and sea level pressure calculations
altOffset = 98.6
# The average sea level pressure. Take thi... | Python | zaydzuhri_stack_edu_python |
function dense_stack inputs num_outputs hiddens hidden_activation_fn=elu last_activation_fn=none is_bn=false is_dropout=false keep_prob=0.5 is_reuse=false name_scope=string dense_stack var_scope=string dense_stack_vars
begin
set n_hidden_layers = length hiddens
with call name_scope name_scope
begin
with call variable_s... | def dense_stack(inputs,
num_outputs,
hiddens,
hidden_activation_fn=tf.nn.elu,
last_activation_fn=None,
is_bn=False,
is_dropout=False,
keep_prob=0.5,
is_reuse=False,
name_scope=... | Python | nomic_cornstack_python_v1 |
class Solution extends object
begin
function letterCombinations self digits
begin
string :type digits: str :rtype: List[str]
comment Using Queue
if length digits == 0
begin
return list
end
set digit_char_map = list string 0 string 1 string abc string def string ghi string jkl string mno string pqrs string tuv string w... | class Solution(object):
def letterCombinations(self, digits):
"""
:type digits: str
:rtype: List[str]
"""
# Using Queue
if len(digits) == 0:
return []
digit_char_map = ["0","1","abc","def","ghi","jkl","mno","pqrs","tuv","wxyz"]
letter_combi... | Python | zaydzuhri_stack_edu_python |
from app import app
from flask import render_template , request
from app.models.player import *
from app.models.game import *
from app.models.game_play import *
decorator call route string /
comment @app.route('/')
comment def index():
comment return "Hello World!"
comment @app.route('/<choice1>/<choice2>')
comment def... | from app import app
from flask import render_template, request
from app.models.player import *
from app.models.game import *
from app.models.game_play import *
# @app.route('/')
# def index():
# return "Hello World!"
# @app.route('/<choice1>/<choice2>')
# def player_choices(choice1, choice2):
# return game_re... | Python | zaydzuhri_stack_edu_python |
function test_attention_net self
begin
comment Checks that torch and tf embedding matrices are the same
with call as_default as sess
begin
assert call allclose eval session=sess call numpy
end
comment B is batch size
set B = 32
comment D_in is attention dim, L is memory_tau
set tuple L D_in D_out = tuple 2 16 2
for tup... | def test_attention_net(self):
# Checks that torch and tf embedding matrices are the same
with tf1.Session().as_default() as sess:
assert np.allclose(
relative_position_embedding(20, 15).eval(session=sess),
relative_position_embedding_torch(20, 15).numpy())
... | Python | nomic_cornstack_python_v1 |
function breweries id
begin
try
begin
return call brewery id at string data
end
except Exception
begin
return list
end
end function | def breweries(id):
try:
return BreweryDb.brewery(id)['data']
except Exception:
return [] | Python | nomic_cornstack_python_v1 |
comment 동명이인 찾기
comment 입력 : 이름이 n개 들어있는 리스트
comment 출력 : n개의 이름 중 반복되는 이름의 집합
function find_same_name a
begin
comment 1단계 : 각 이름이 등장한 횟수를 딕셔너리로 만듦
set name_dict = dict
comment 리스트 a에 있는 자료들을 차례로 반복
for name in a
begin
comment 이름이 name_dict에 있으면
if name in name_dict
begin
comment 등장 횟수를 1증가
set name_dict at name = nam... | # 동명이인 찾기
# 입력 : 이름이 n개 들어있는 리스트
# 출력 : n개의 이름 중 반복되는 이름의 집합
def find_same_name(a):
# 1단계 : 각 이름이 등장한 횟수를 딕셔너리로 만듦
name_dict = {}
for name in a: # 리스트 a에 있는 자료들을 차례로 반복
if name in name_dict: # 이름이 name_dict에 있으면
name_dict[name] += 1 # 등장 횟수를 1증가
else: # 새 이름이면
... | Python | zaydzuhri_stack_edu_python |
function SliceEmbeddingIds self input_batch
begin
return call GetSlice feature_names
end function | def SliceEmbeddingIds(
self, input_batch: py_utils.NestedMap
) -> py_utils.NestedMap:
return input_batch.GetSlice(self.feature_names) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
import subprocess
import statistics
comment first is baseline
set executables = list string strlen-clang string strlen-asan string strlen-asan-introspection string strlen-softbound string strlen-mpx string strlen-mpx-introspection string strlen-softbound-introspection
set string_lengths = ... | #!/usr/bin/env python3
import subprocess
import statistics
# first is baseline
executables = ['strlen-clang', 'strlen-asan', 'strlen-asan-introspection', 'strlen-softbound', 'strlen-mpx', 'strlen-mpx-introspection', 'strlen-softbound-introspection']
string_lengths = [10, 100, 10000]
baseline = [0] * len(string_lengths... | Python | zaydzuhri_stack_edu_python |
function _set_restart_time self v load=false
begin
if has attribute v string _utype
begin
set v = call _utype v
end
try
begin
set t = call YANGDynClass v base=call RestrictedClassType base_type=long restriction_dict=dict string range list string 0..4294967295 int_size=32 is_leaf=true yang_name=string restart-time paren... | def _set_restart_time(self, v, load=False):
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="restart-time", parent=self, path_helper=self._path_helper, extme... | Python | nomic_cornstack_python_v1 |
function target_temperature_high self
begin
set target_temperature_high = none
if _dual_setpoint
begin
set target_temperature_high = _target_temp_heat
end
return target_temperature_high
end function | def target_temperature_high(self) -> Optional[float]:
target_temperature_high = None
if self._dual_setpoint:
target_temperature_high = self._target_temp_heat
return target_temperature_high | Python | nomic_cornstack_python_v1 |
function __stash_pop git_repo
begin
try
begin
if string Automatic stash in call stash string list
begin
set asd = call stash string pop
if string error: could not restore untracked files from stash in asd
begin
raise call GitCommandError asd
end
end
end
except GitCommandError as error
begin
print string Error: %s % err... | def __stash_pop(git_repo):
try:
if 'Automatic stash' in git_repo.git.stash('list'):
asd = git_repo.git.stash('pop')
if 'error: could not restore untracked files from stash' in asd:
raise exc.GitCommandError(asd)
except exc.GitCommandError as error:
print("... | Python | nomic_cornstack_python_v1 |
class Account
begin
function __init__ self owner balance
begin
set owner = owner
set balance = balance
end function
function acc_owner self
begin
print string Account owner: { owner }
end function
function acc_balance self
begin
print string Account balance: { balance }
end function
function deposit self add_balance
be... | class Account():
def __init__(self,owner,balance):
self.owner = owner
self.balance = balance
def acc_owner(self):
print(f"Account owner: {self.owner}")
def acc_balance(self):
print(f"Account balance: {self.balance}")
def deposit(self,add_balance):
self.balance ... | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 -*-
import os , sys
import numpy as np
from scipy.misc import factorial
import scipy.stats as stats
import csv
function read_csv_as_ndarray csvDir
begin
set csv_file = open csvDir
set csv_reader_list = reader csv_file
set tmp_list = list
for ln in csv_reader_list
begin
append tmp_list ln
end
s... | # -*- coding:utf-8 -*-
import os, sys
import numpy as np
from scipy.misc import factorial
import scipy.stats as stats
import csv
def read_csv_as_ndarray(csvDir):
csv_file = open(csvDir)
csv_reader_list = csv.reader(csv_file)
tmp_list = []
for ln in csv_reader_list:
tmp_list.append(ln)
csv_... | Python | zaydzuhri_stack_edu_python |
string Ever wonder what actually happens during lunch? There's actually a Behind-The-Door Break Room Cafe where all the instructors show off what they brought in for lunch. Create an invoice store that would take orders from our makeshift Behind-The-Door Break Room Cafe. Requirements: Create a function for the invoice ... | '''
Ever wonder what actually happens during lunch? There's actually a Behind-The-Door Break Room Cafe where all the instructors show off what they brought in for lunch. Create an invoice store that would take orders from our makeshift Behind-The-Door Break Room Cafe.
Requirements:
Create a function for the invo... | Python | zaydzuhri_stack_edu_python |
from collections import deque
set customers = deque generator expression integer c for c in split input string ,
set taxis = deque reversed list comprehension integer t for t in split input string ,
set total_time = 0
while length taxis > 0
begin
set first_customer = call popleft
set last_taxi = call popleft
if last_ta... | from collections import deque
customers = deque(int(c) for c in input().split(', '))
taxis = deque(reversed([int(t) for t in input().split(', ')]))
total_time = 0
while len(taxis) > 0:
first_customer = customers.popleft()
last_taxi = taxis.popleft()
if last_taxi >= first_customer:
tota... | Python | zaydzuhri_stack_edu_python |
function assemble self codim=0 mask=none
begin
comment first compute the operator specific entries
comment --> nE x nB [x nB]
set entries = call _compute_entries codim=codim
comment get the dof map for the desired entities
comment --> nB x nE
set dim = dimension - codim
set dof_map = call get_dof_map d=dim mask=mask
se... | def assemble(self, codim=0, mask=None):
# first compute the operator specific entries
# --> nE x nB [x nB]
entries = self._compute_entries(codim=codim)
# get the dof map for the desired entities
# --> nB x nE
dim = self.fe_space.mesh.dimension - codim
dof_map = ... | Python | nomic_cornstack_python_v1 |
function dataset self
begin
return get pulumi self string dataset
end function | def dataset(self) -> 'outputs.DatasetReferenceResponse':
return pulumi.get(self, "dataset") | Python | nomic_cornstack_python_v1 |
function canCancel self
begin
Ellipsis
end function | def canCancel(self) -> bool:
... | Python | nomic_cornstack_python_v1 |
function pretrained name=string wordseg_pku lang=string zh remote_loc=none
begin
from sparknlp.pretrained import ResourceDownloader
return call downloadModel WordSegmenterModel name lang remote_loc
end function | def pretrained(name="wordseg_pku", lang="zh", remote_loc=None):
from sparknlp.pretrained import ResourceDownloader
return ResourceDownloader.downloadModel(WordSegmenterModel, name, lang, remote_loc) | Python | nomic_cornstack_python_v1 |
comment noqa B002
function subf self repl string count=0
begin
return sub call _auto_compile repl true string count
end function | def subf(self, repl, string, count=0): # noqa B002
return self.pattern.sub(self._auto_compile(repl, True), string, count) | Python | nomic_cornstack_python_v1 |
import os
import shutil
import subprocess
import time
from datetime import datetime
function create_new
begin
with open trash string wb as f
begin
set data = call urandom 4096
write f data
end
return data
end function
comment cdb
set cdb = string cdb.exe
set program = string program
set crashdir = string C:\
set trash ... | import os
import shutil
import subprocess
import time
from datetime import datetime
def create_new():
with open(trash, "wb") as f:
data = os.urandom(4096)
f.write(data)
return data
cdb = "cdb.exe" # cdb
program = "program"
crashdir = "C:\\"
trash = "trash"
def startapp(trash):
print()
... | Python | zaydzuhri_stack_edu_python |
async function async_turn_off self **kwargs
begin
set data = dict ATTR_ENTITY_ID _entity_ids
if ATTR_TRANSITION in kwargs
begin
set data at ATTR_TRANSITION = kwargs at ATTR_TRANSITION
end
await call async_call DOMAIN SERVICE_TURN_OFF data blocking=true context=_context
end function | async def async_turn_off(self, **kwargs):
data = {ATTR_ENTITY_ID: self._entity_ids}
if ATTR_TRANSITION in kwargs:
data[ATTR_TRANSITION] = kwargs[ATTR_TRANSITION]
await self.hass.services.async_call(
light.DOMAIN,
light.SERVICE_TURN_OFF,
data,
... | Python | nomic_cornstack_python_v1 |
function sayHello name age=string reservada tu edad
begin
print string Hola %s con que tienes %s % tuple name age
end function
function pintar_linea longitud datos=dict string punta string * ; string extremo string ? ; string relleno string + isTop=false
begin
set line = datos at string relleno * longitud - 1
if isTop
... | def sayHello(name,age="reservada tu edad"):
print("Hola %s con que tienes %s" % (name, age))
def pintar_linea(longitud, datos={'punta': '*', 'extremo': '?', 'relleno': '+'}, isTop=False):
line = datos['relleno']*(longitud-1)
if isTop:
line += datos['punta']
else:
line += datos['extremo'... | Python | zaydzuhri_stack_edu_python |
function sortColors self nums
begin
set s = string asd
print s at slice 1 : 2 :
set p0 = 0
set p2 = length nums - 1
function swap i j
begin
set t = nums at i
set nums at i = nums at j
set nums at j = t
end function
set i = 0
while i <= p2
begin
if nums at i == 0
begin
call swap i p0
set p0 = p0 + 1
set i = i + 1
end
el... | def sortColors(self, nums: list) -> None:
s="asd"
print(s[1:2])
p0=0
p2=len(nums)-1
def swap(i,j):
t=nums[i]
nums[i]=nums[j]
nums[j]=t
i=0
while i<=p2:
if(nums[i]==0):
swap(i,p0)
p0... | Python | nomic_cornstack_python_v1 |
function security_indicator self
begin
return __security_indicator
end function | def security_indicator(self):
return self.__security_indicator | Python | nomic_cornstack_python_v1 |
import random
set rock = string _______ ---' ____) (_____) (_____) (____) ---.__(___)
set paper = string _______ ---' ____)____ ______) _______) _______) ---.__________)
set scissors = string _______ ---' ____)____ ______) __________) (____) ---.__(___)
print string Welcome to rock-paper-scissors challenge.
set my_move... | import random
rock = '''
_______
---' ____)
(_____)
(_____)
(____)
---.__(___)
'''
paper = '''
_______
---' ____)____
______)
_______)
_______)
---.__________)
'''
scissors = '''
_______
---' ____)____
______)
___... | Python | zaydzuhri_stack_edu_python |
string def factorial(n): if n == 0: return 1 return n * factorial(n-1)
function factorial n
begin
set factorial = none
if n == 0
begin
return 1
end
else
if n > 0
begin
set factorial = 1
for number in range 1 n + 1
begin
set factorial = factorial * number
end
end
return factorial
end function
print call factorial 3 | '''def factorial(n):
if n == 0:
return 1
return n * factorial(n-1)
'''
def factorial(n):
factorial = None
if n == 0:
return 1
elif n > 0 :
factorial = 1
for number in range(1,n+1):
factorial *= number
return factorial
print(factorial(3))
| Python | zaydzuhri_stack_edu_python |
function print_thank_you_txt txt
begin
print
print
print
print txt
end function | def print_thank_you_txt(txt):
print()
print()
print()
print(txt) | Python | nomic_cornstack_python_v1 |
function divide_column_by_criteria row_grouping_criteria_header target_column_name dataset output=string list
begin
from preprocessor.legacy_functions.select_column import select_column
comment Compatibilty column for history_nback function. Can be ignored.
if row_grouping_criteria_header is none
begin
return list call... | def divide_column_by_criteria(row_grouping_criteria_header, target_column_name, dataset, output="list"):
#############################################################################################################
from preprocessor.legacy_functions.select_column import select_column
# Compatibilty colum... | Python | nomic_cornstack_python_v1 |
function validate cls name config admin=none users=none task=none
begin
if call meta name string admin_only is true
begin
print string Admin Access
end
if call meta name string operator is true
begin
print string Operator
end
end function | def validate(cls, name, config, admin=None, users=None, task=None):
if cls.meta(name, "admin_only") is True:
print("Admin Access")
if cls.meta(name, "operator") is True:
print("Operator") | Python | nomic_cornstack_python_v1 |
function smoothed self angle=0.4
begin
string Return a version of the current mesh which will render nicely, without changing source mesh. Parameters ------------- angle : float Angle in radians, face pairs with angles smaller than this value will appear smoothed Returns --------- smoothed : trimesh.Trimesh Non waterti... | def smoothed(self, angle=.4):
"""
Return a version of the current mesh which will render
nicely, without changing source mesh.
Parameters
-------------
angle : float
Angle in radians, face pairs with angles smaller than
this value will appear smoothed... | Python | jtatman_500k |
function fit_lorentizan curve p0=none N_points=1000
begin
string Fits a lorentzian curve using p0=[x0,A,gamma] as an initial guess. It returns a curve with N_points.
function lorentzian x x0 A gamma
begin
return A * gamma ^ 2 / x - x0 ^ 2 + gamma ^ 2
end function
set N = length curve
set x = list comprehension curve at... | def fit_lorentizan(curve,p0=None,N_points=1000):
'''Fits a lorentzian curve using p0=[x0,A,gamma] as an initial guess.
It returns a curve with N_points.'''
def lorentzian(x,x0,A,gamma): return A*gamma**2/((x-x0)**2+gamma**2)
N=len(curve)
x=[curve[i][0] for i in range(N)]
y=[curve[i][1] for i in range(N)]
... | Python | jtatman_500k |
import math
import os
from sequential import sequential
from util import insert_number
if __name__ == string __main__
begin
print string Cannon’s algorithm for matrix multiplication
while true
begin
set size = call insert_number string Insert the matrix dimensions(nxn), just one number(n):
if size > 1
begin
break
end
p... | import math
import os
from sequential import sequential
from util import insert_number
if __name__ == '__main__':
print("Cannon’s algorithm for matrix multiplication")
while True:
size = insert_number("Insert the matrix dimensions(nxn), just one number(n): ")
if size > 1:
break
... | Python | zaydzuhri_stack_edu_python |
set sentence = string Hello, World!
set new_sentence = replace sentence string Hello, string Goodbye, 1
print new_sentence | sentence = "Hello, World!"
new_sentence = sentence.replace("Hello, ", "Goodbye, ", 1)
print(new_sentence)
| Python | jtatman_500k |
import math
set t = ceil square root n
for i in range t 1 - 1
begin
if n % i == 0
begin
print i - 1 + n // i - 1
break
end
end
for else
begin
print n - 1
end | import math
t = math.ceil(math.sqrt(n))
for i in range(t,1,-1):
if n%i == 0:
print(i-1+(n//i)-1)
break
else:print(n-1) | Python | zaydzuhri_stack_edu_python |
function listen card interval
begin
global screensaverstate
while 1
begin
comment Screen.wrapper(datascreen)
comment print("now is the time to exit the program by CTRL-C")
comment time.sleep(2)
if select card
begin
set post = call logOnboarding readerid uid
comment print data
comment print ("aantal punten: " + str(data... | def listen(card, interval):
global screensaverstate
while 1:
# Screen.wrapper(datascreen)
#print("now is the time to exit the program by CTRL-C")
# time.sleep(2)
if card.select():
post= logOnboarding(readerid, card.uid)
# print data
# print ("aantal punten: " + str(data['credits']))
# print (... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
import time
import requests
import sqlite3
from argparse import ArgumentParser
from datetime import datetime , timedelta , date
from sqlite3 import Error
string Scans submissions and comments: collects ids with its dates and/or ranks by author 'Count' and 'ranking' tables are ready for vis... | #!/usr/bin/env python3
import time
import requests
import sqlite3
from argparse import ArgumentParser
from datetime import datetime, timedelta, date
from sqlite3 import Error
"""
Scans submissions and comments: collects ids with its dates and/or ranks by author
'Count' and 'ranking' tables are ready for visualiza... | Python | zaydzuhri_stack_edu_python |
import os , unittest
from confparse import properties , ini
from tempfile import mkstemp
from test import test_support
class propertiesFormatTestCase extends TestCase
begin
function setUp self
begin
set line = line
end function
set options = tuple tuple string b=c tuple string b string c none tuple string c=d#e tuple s... | import os, unittest
from confparse import properties, ini
from tempfile import mkstemp
from test import test_support
class propertiesFormatTestCase(unittest.TestCase):
def setUp(self):
self.line=properties.line
options=(("b=c ", ('b','c',None)),
("c=d#e", ('c','d#e',None)),
... | Python | zaydzuhri_stack_edu_python |
function create_test_users self
begin
for user_obj in test_user
begin
call set_password call make_random_password
end
end function | def create_test_users(self):
for user_obj in test_user:
User.objects.create(
username=user_obj['username'],
first_name=user_obj['first_name'],
last_name=user_obj['last_name'],
email=user_obj['email']
).set_password(
... | Python | nomic_cornstack_python_v1 |
function get_data self state=none request=none
begin
raise NotImplementedError
end function | def get_data(self, state=None, request=None):
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
function get_name self
begin
return name
end function | def get_name(self):
return self.name | Python | nomic_cornstack_python_v1 |
function convertImage file maxDim scale ext
begin
set args = list join path call getenv string HFS string bin string icp
set scale = scale / 100.0
set resolution = call imageResolution file
set width = decimal resolution at 0 * scale
set height = decimal resolution at 1 * scale
set resizeFactor = 1.0
comment Only calcu... | def convertImage(file, maxDim, scale, ext):
args = [os.path.join(hou.getenv('HFS'), 'bin', 'icp')]
scale /= 100.0
resolution = hou.imageResolution(file)
width = float(resolution[0]) * scale
height = float(resolution[1]) * scale
resizeFactor = 1.0
if maxDim != -1: # Only calculate if user hasn't selected 'None'... | Python | nomic_cornstack_python_v1 |
function process self activations **kwargs
begin
comment pylint: disable=arguments-differ
import itertools as it
comment use only the activations > threshold (init offset to be added later)
set first = 0
if threshold
begin
set idx = call nonzero activations >= threshold at 0
if any
begin
set first = max first min idx
s... | def process(self, activations, **kwargs):
# pylint: disable=arguments-differ
import itertools as it
# use only the activations > threshold (init offset to be added later)
first = 0
if self.threshold:
idx = np.nonzero(activations >= self.threshold)[0]
... | Python | nomic_cornstack_python_v1 |
function recurse_access_key current_val keys
begin
if not keys
begin
return current_val
end
else
begin
set current_key = pop keys 0
try
begin
set current_key = integer current_key
end
except ValueError
begin
pass
end
return call recurse_access_key current_val at current_key keys
end
end function | def recurse_access_key(current_val, keys):
if not keys:
return current_val
else:
current_key = keys.pop(0)
try:
current_key = int(current_key)
except ValueError:
pass
return recurse_access_key(current_val[current_key], keys) | Python | nomic_cornstack_python_v1 |
function test_good_phone
begin
set good_phone = string 213-555-1212
set m = match good_phone
comment print getmembers(m)
assert m is not none msg string Canned RegEx phone test failed for %s % good_phone
assert string == good_phone
end function | def test_good_phone():
good_phone = "213-555-1212"
m = CannedRe.PHONE.match(good_phone)
# print getmembers(m)
assert m is not None, "Canned RegEx phone test failed for %s" % good_phone
assert m.string == good_phone | Python | nomic_cornstack_python_v1 |
comment Imports
from itertools import zip_longest
function single_byte_xor_letters ciphertext
begin
string Performs xor between every possible key uptil 256 and returns the key that gives the most ascii characters.
set ascii_text_chars = list range 97 122 + list 32
set best_candidate = none
comment for every possible k... | # Imports
from itertools import zip_longest
def single_byte_xor_letters(ciphertext: bytes) -> dict:
"""
Performs xor between every possible key uptil 256 and returns the key that gives the most ascii characters.
"""
ascii_text_chars = list(range(97, 122)) + [32]
best_candidate = None
... | Python | zaydzuhri_stack_edu_python |
import mimetypes
import re
from six import string_types
from import exceptions , thumbnailers
function create_thumbnail source_file resize_to=none
begin
if is instance source_file string_types
begin
set source_file = open source_file string rb
end
set tuple mime_type encoding = call guess_type name strict=false
if mim... | import mimetypes
import re
from six import string_types
from . import exceptions, thumbnailers
def create_thumbnail(source_file, resize_to=None):
if isinstance(source_file, string_types):
source_file = open(source_file, 'rb')
mime_type, encoding = mimetypes.guess_type(source_file.name, strict=False)... | Python | zaydzuhri_stack_edu_python |
comment adadakontakti.write("IME - PEZIME - EMAIL - TELEFON - MESTO STANOVANJA\n")
set odgovor = input string Da li zelite da unesete Kontakt? (da/Ne):
if strip upper odgovor == string DA
begin
set ime = input string Unesite Ime Kontakta:
set ime = string ime
set prezime = input string Unesite Prezime Kontakta:
set pre... | #adadakontakti.write("IME - PEZIME - EMAIL - TELEFON - MESTO STANOVANJA\n")
odgovor = input("Da li zelite da unesete Kontakt? (da/Ne): ")
if odgovor.upper().strip() == 'DA':
ime = input("Unesite Ime Kontakta: ")
ime = str(ime)
prezime = input("Unesite Prezime Kontakta: ")
prezime = str(prezime)
... | Python | zaydzuhri_stack_edu_python |
comment The entire hardware specification of an experiment is stored as a pandas
comment DataFrame. It is straightforward to search and slice this object for
comment subsets on which to run algorithms. The DataFrame specification contains
comment one row per channel, and each column specifies which hardware is connecte... | # The entire hardware specification of an experiment is stored as a pandas
# DataFrame. It is straightforward to search and slice this object for
# subsets on which to run algorithms. The DataFrame specification contains
# one row per channel, and each column specifies which hardware is connected
# to that channel upst... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import os
from itertools import combinations , combinations_with_replacement
import re
import copy
from multiprocessing import Process , Manager
import random
set ROW = 0
set COLUMN = 1
set INVALID = set literal string TL string TW string DL string DW none
set L_MULTI = dict string DL 2 ; string TL 3... | import numpy as np
import os
from itertools import combinations, combinations_with_replacement
import re
import copy
from multiprocessing import Process, Manager
import random
ROW = 0
COLUMN = 1
INVALID = {'TL','TW','DL','DW',None}
L_MULTI = {'DL':2,'TL':3}
W_MULTI = {'DW':2,'TW':3}
STAR = '*'
SPACE = "-"
AMOUNT = {
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pennylane as qml
from ttn import ttn_circuit
from gates import two_qubit_gate
from hamiltonians import tfi_chain
from observables import sigma_z
set num_qubits = 8
comment The simulator.
set dev = device string default.qubit wires=num_qubits analytic=true
comment The TFI model at the critical ... | import numpy as np
import pennylane as qml
from ttn import ttn_circuit
from gates import two_qubit_gate
from hamiltonians import tfi_chain
from observables import sigma_z
num_qubits = 8
# The simulator.
dev = qml.device('default.qubit', wires=num_qubits, analytic=True)
# The TFI model at the critical point.
h ... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import pandas as pd
import pylab as pl
import numpy as np
import datetime as DT
from matplotlib.dates import date2num
class MatPlotLib
begin
function __init__ self
begin
print string 1.Write a Python program to draw a line with suitable label in the x axis, y axis and a title
print strin... | import matplotlib.pyplot as plt
import pandas as pd
import pylab as pl
import numpy as np
import datetime as DT
from matplotlib.dates import date2num
class MatPlotLib:
def __init__(self):
print("1.Write a Python program to draw a line with suitable label in the x axis, y axis and a title")
... | Python | zaydzuhri_stack_edu_python |
comment -----------------------------------------------------------------------------
comment Name: beliefs
comment Purpose: Homework 7
comment Author: Yulan Jin
comment -----------------------------------------------------------------------------
string Module to track the belief distribution over all possible grid po... | # -----------------------------------------------------------------------------
# Name: beliefs
# Purpose: Homework 7
#
# Author: Yulan Jin
#
# -----------------------------------------------------------------------------
"""
Module to track the belief distribution over all possible grid positions
Your task for h... | Python | zaydzuhri_stack_edu_python |
function Fibonacci n
begin
if n < 0
begin
print string Incorrect input
end
else
comment First Fibonacci number is 0
if n == 1
begin
return 0
end
else
comment Second Fibonacci number is 1
if n == 2
begin
return 1
end
else
begin
return call Fibonacci n - 1 + call Fibonacci n - 2
end
end function
comment Driver Program
se... | def Fibonacci(n):
if n<0:
print("Incorrect input")
# First Fibonacci number is 0
elif n==1:
return 0
# Second Fibonacci number is 1
elif n==2:
return 1
else:
return Fibonacci(n-1)+Fibonacci(n-2)
# Driver Program
result = []
for i in range(1,10):
... | Python | iamtarun_python_18k_alpaca |
function get_or_create_default_history self
begin
comment There must be a user to fetch a default history.
if not user
begin
return call new_history
end
comment Look for default history that (a) has default name + is not deleted and
comment (b) has no datasets. If suitable history found, use it; otherwise, create
comme... | def get_or_create_default_history(self):
# There must be a user to fetch a default history.
if not self.galaxy_session.user:
return self.new_history()
# Look for default history that (a) has default name + is not deleted and
# (b) has no datasets. If suitable history found,... | Python | nomic_cornstack_python_v1 |
function twoSum self array target
begin
set nums = list
for num in range length array
begin
set potentialSum = target - array at num
if potentialSum in nums
begin
return list index array potentialSum num
end
else
begin
append nums array at num
end
end
return list
end function | def twoSum(self,array,target):
nums=[]
for num in range(len(array)):
potentialSum = target - array[num]
if potentialSum in nums:
return [array.index(potentialSum),num]
else:
nums.append(array[num])
return [] | Python | nomic_cornstack_python_v1 |
import random
import numpy as np
from enum import Enum
from collections import namedtuple
import random
import math
from functools import cmp_to_key
from abc import ABC , abstractmethod
import copy
set EMPTY_FIELD = string
set O_MARK = string O
set X_MARK = string X
set PUSH_UP = string PUSH_UP
set PUSH_DOWN = string ... | import random
import numpy as np
from enum import Enum
from collections import namedtuple
import random
import math
from functools import cmp_to_key
from abc import ABC, abstractmethod
import copy
EMPTY_FIELD = ' '
O_MARK = 'O'
X_MARK = 'X'
PUSH_UP = 'PUSH_UP'
PUSH_DOWN = 'PUSH_DOWN'
PUSH_LEFT = 'PUSH_LEFT'
PUSH_RIG... | Python | zaydzuhri_stack_edu_python |
function insert self resource data verb=string insert **kwargs
begin
if not _get_key_field
begin
raise call ValueError string Repository was created without a valid key_field argument. Cannot execute insert request.
end
set arguments = dict _get_key_field resource ; string body data
if kwargs
begin
update arguments kwa... | def insert(self, resource, data, verb='insert', **kwargs):
if not self._get_key_field:
raise ValueError('Repository was created without a valid '
'key_field argument. Cannot execute insert '
'request.')
arguments = {
self.... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
import binascii
import argparse
set SPACE = ordinal string
function decode ciphertexts
begin
set char_cipher = list
set line_cipher = list
set pad_array = list
comment 64 is number of columns
for j in range 0 64
begin
comment I will create a matrix where, for every line of ciphertexts, ... | #!/usr/bin/env python3
import binascii
import argparse
SPACE = ord(' ')
def decode(ciphertexts):
char_cipher = []
line_cipher = []
pad_array = []
for j in range(0, 64): #64 is number of columns
#I will create a matrix where, for every line of ciphertexts, I will assign a number to each bi... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function arrangeCoins self n
begin
string :type n: int :rtype: int 964ms beats:15.19%
set i = 0
set sum = 0
while true
begin
if sum == n
begin
return i
end
else
if sum > n
begin
return i - 1
end
set i = i + 1
set sum = sum + i
end
end function
end class | class Solution(object):
def arrangeCoins(self, n):
"""
:type n: int
:rtype: int
964ms beats:15.19%
"""
i = 0
sum = 0
while True:
if sum == n:
return i
elif sum > n:
return i - 1
i += 1... | Python | zaydzuhri_stack_edu_python |
function floor expr
begin
return call function string floor expr
end function | def floor(expr: vecpy.base.Expr):
return vecpy.function("floor", expr) | Python | nomic_cornstack_python_v1 |
function find2 self image frame dim shape=string circle confirm=false **kw
begin
set alive = true
set tuple dx dy = tuple none none
set st = time
set targets = call _find_targets image frame dim shape=shape do_arc_filter=use_arc_approximation keyword kw
debug format string time to find targets={:0.5f} time - st
if targ... | def find2(self, image, frame, dim, shape="circle", confirm=False, **kw):
self.alive = True
dx, dy = None, None
st = time.time()
targets = self._find_targets(
image,
frame,
dim,
shape=shape,
do_arc_filter=self.use_arc_approximat... | Python | nomic_cornstack_python_v1 |
function shutdown self
begin
print string shutting down ...
set name_hash = call hash_string name_
set del_name_node = call find_successor name_hash
call user_command string delete_name dumps dict string name name_
for ch in list joined_channels
begin
call leave_channel ch
end
set migrate_chan = dictionary
for tuple ch... | def shutdown(self):
print("shutting down ...")
name_hash = hash_string(self.name_)
del_name_node = self.local_.find_successor(name_hash)
del_name_node.user_command("delete_name", json.dumps({
'name': self.name_
}))
for ch in list(self.joined_channels):
... | Python | nomic_cornstack_python_v1 |
function flip n
begin
set t = split binary n string b at 1
set x = bytearray t
set l = length x
for i in range l 32
begin
set x = string 0 + x
end
comment print x
set l = length x
for i in range 0 l
begin
if x at i == 49
begin
set x at i = 48
end
else
begin
set x at i = 49
end
end
end function
comment print x | def flip(n):
t = bin(n).split('b')[1]
x=bytearray(t)
l=len(x)
for i in range(l,32):
x='0'+x
#print x
l=len(x)
for i in range(0,l):
if x[i] == 49:
x[i] = 48
else:
x[i] = 49
#print x | Python | zaydzuhri_stack_edu_python |
function get cls id
begin
set response = json call get_by_endpoint string processors/ + string id
return call Processor keyword response
end function | def get(cls, id):
response = get_by_endpoint("processors/" + str(id)).json()
return Processor(**response) | Python | nomic_cornstack_python_v1 |
comment Added to speed up program
function debug_visible self
begin
set start = min total current_num + 2
set end = max 1 current_num - height
for i in range start end - 1
begin
set error = false
call error_test number
end
end function | def debug_visible(self): # Added to speed up program
start = min(self.lines.total, self.current_num + 2)
end = max(1, self.current_num - self.window.height)
for i in range(start, end, -1):
self.lines.db[i].error = False
self.error_test(self.lines.db[i].number) | Python | nomic_cornstack_python_v1 |
function reverse_integers integers
begin
set reversed_integers = list comprehension string integer for integer in reversed integers
return join string ; reversed_integers
end function
set integers = list 1 2 3 4 5
set result = call reverse_integers integers
print result | def reverse_integers(integers):
reversed_integers = [str(integer) for integer in reversed(integers)]
return ';'.join(reversed_integers)
integers = [1, 2, 3, 4, 5]
result = reverse_integers(integers)
print(result)
| Python | greatdarklord_python_dataset |
comment !/usr/bin/python
set string = string haha
set string2 = string hehe
set str3 = string + string2 | #!/usr/bin/python
string="haha"
string2="hehe"
str3 = string + string2 | Python | zaydzuhri_stack_edu_python |
comment author: aspiring encoding: utf-8
import requests
import re
import json
class Qiushi
begin
function __init__ self
begin
set start_url = string https://www.qiushibaike.com/text/page/{}/
set headers = dict string User-Agent string Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chr... | # author: aspiring encoding: utf-8
import requests
import re
import json
class Qiushi:
def __init__(self):
self.start_url = "https://www.qiushibaike.com/text/page/{}/"
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrom... | Python | zaydzuhri_stack_edu_python |
function __init__ self embedding_or_raw_data_file=string voc_limit=none model_name=string word2vec intersecting_embedding=string config_file=string
begin
comment get the configuration
set config = call read_config config_file
set embedding_model_name = model_name
set max_seq_length = 20
set check_other_embedding = co... | def __init__(self,
embedding_or_raw_data_file="",
voc_limit=None,
model_name="word2vec",
intersecting_embedding="",
config_file=""):
# get the configuration
self.config = utils.read_config(config_file)
self.emb... | Python | nomic_cornstack_python_v1 |
import pandas as pd
function load_data full_path
begin
set data = read csv full_path header=none
set len_data = length index
set ch1 = list 0 * len_data
set ch2 = list 0 * len_data
for tuple i line in enumerate values
begin
set tuple ch1 at i ch2 at i = list comprehension decimal x for x in split line at 0 string ;
end... | import pandas as pd
def load_data(full_path):
data = pd.read_csv(full_path,header=None)
len_data = len(data.index)
ch1 = [0]*len_data
ch2 = [0]*len_data
for i,line in enumerate(data.values):
ch1[i],ch2[i] = [float(x) for x in line[0].split(";")]
return [ch1,ch2] | Python | zaydzuhri_stack_edu_python |
function _txs self _ __
begin
set SP = X
end function | def _txs(self, _, __):
self.SP = self.X | Python | nomic_cornstack_python_v1 |
function macsEqual mac1 mac2
begin
set cmpKey = call urandom 32
comment log.debug("macsEqual lengths:%s:%s:%s", len(cmpKey), len(mac1), len(mac2))
set hmac1 = call digest
set hmac2 = call digest
return hmac1 == hmac2
end function | def macsEqual(mac1, mac2):
cmpKey = os.urandom(32)
# log.debug("macsEqual lengths:%s:%s:%s", len(cmpKey), len(mac1), len(mac2))
hmac1 = hmac.new(cmpKey, mac1, 'sha256').digest()
hmac2 = hmac.new(cmpKey, mac2, 'sha256').digest()
return hmac1 == hmac2 | Python | nomic_cornstack_python_v1 |
import inspect
import hw2
function modified_func func *fixated_args **fixated_kwargs
begin
function new_func *fixed_args **fixed_kwargs
begin
string A func implementation of {func_name} with pre-applied arguments being: fixated_args: {fixated_args}, fixated_kwargs: {fixated_kwargs} source_code: {source}
set fixed_args ... | import inspect
import hw2
def modified_func(func, *fixated_args, **fixated_kwargs):
def new_func(*fixed_args, **fixed_kwargs):
"""A func implementation of {func_name}
with pre-applied arguments being:
fixated_args: {fixated_args},
fixated_kwargs: {fixated_kwargs}
source_cod... | Python | zaydzuhri_stack_edu_python |
function test_wrongsyn
begin
assert call wrongsyn string sdf == none
end function | def test_wrongsyn():
assert _socli.wrongsyn("sdf") == None | Python | nomic_cornstack_python_v1 |
function test_access_user_token self logged_in user testapp
begin
set res = get testapp call url_for string user.token
call mustcontain no=string 401
end function | def test_access_user_token(self, logged_in, user, testapp):
res = testapp.get(url_for('user.token'))
res.mustcontain(no="401") | Python | nomic_cornstack_python_v1 |
function disable_login_password_reuse_interval device
begin
set cmd = string no login password-reuse-interval
try
begin
call configure cmd
end
except SubCommandFailure as e
begin
raise call SubCommandFailure string Could not configure no login password-reuse-interval: { e }
end
end function | def disable_login_password_reuse_interval(device):
cmd="no login password-reuse-interval"
try:
device.configure(cmd)
except SubCommandFailure as e:
raise SubCommandFailure(
f'Could not configure no login password-reuse-interval:\n{e}'
) | Python | nomic_cornstack_python_v1 |
function frequencies self frequencies
begin
set _frequencies = frequencies
end function | def frequencies(self, frequencies):
self._frequencies = frequencies | Python | nomic_cornstack_python_v1 |
class Board
begin
string Represents a SpiNNaker board *Side effects*: Upon instantiation, the parent machine is updated to include a reference to this board instance. :param `pacman103.lib.lib_machine` machine: parent machine. :param int idx: board ID. :param int boardtype = the actual physical type of board (TODO: sho... | class Board:
"""
Represents a SpiNNaker board
*Side effects*:
Upon instantiation, the parent machine is updated to include a reference
to this board instance.
:param `pacman103.lib.lib_machine` machine: parent machine.
:param int idx: board ID.
:param int boardtype = the actual... | Python | zaydzuhri_stack_edu_python |
function handler signum frame spinner
begin
call fail
call stop
end function | def handler(signum, frame, spinner):
spinner.fail()
spinner.stop() | Python | nomic_cornstack_python_v1 |
function validate data schema ac_schema_safe=true ac_schema_errors=false **options
begin
string Validate target object with given schema object, loaded from JSON schema. See also: https://python-jsonschema.readthedocs.org/en/latest/validate/ :parae data: Target object (a dict or a dict-like object) to validate :param s... | def validate(data, schema, ac_schema_safe=True, ac_schema_errors=False,
**options):
"""
Validate target object with given schema object, loaded from JSON schema.
See also: https://python-jsonschema.readthedocs.org/en/latest/validate/
:parae data: Target object (a dict or a dict-like objec... | Python | jtatman_500k |
set people = list string Stephany string Josh string Vanessa string Kristian
set cancelled = pop people 3
insert people 3 string Miko
print string I cordinally invite you, + pop people 0 + string , to join us for dinner.
print string I cordinally invite you, + pop people 0 + string , to join us for dinner.
print string... | people = ['Stephany', 'Josh', 'Vanessa', 'Kristian']
cancelled = people.pop(3)
people.insert(3, 'Miko')
print("I cordinally invite you, " + people.pop(0) + ", to join us for dinner.")
print("I cordinally invite you, " + people.pop(0) + ", to join us for dinner.")
print("I cordinally invite you, " + people.pop(0) + ",... | Python | zaydzuhri_stack_edu_python |
function setup_distributed_tf self
begin
info string Setting up distributed TensorFlow execution mode.
comment Create the Server object.
set server = call Server server_or_cluster_def=distributed_spec at string cluster_spec job_name=distributed_spec at string job task_index=distributed_spec at string task_index protoco... | def setup_distributed_tf(self):
self.logger.info("Setting up distributed TensorFlow execution mode.")
# Create the Server object.
self.server = tf.train.Server(
server_or_cluster_def=self.distributed_spec["cluster_spec"],
job_name=self.distributed_spec["job"],
... | Python | nomic_cornstack_python_v1 |
comment 1.求2+4+6+8+...+100的求和
set sum = 0
set number = 2
while number < 101
begin
set sum = sum + number
set number = number + 2
end
print sum | # 1.求2+4+6+8+...+100的求和
sum = 0
number = 2
while number < 101:
sum = sum + number
number = number + 2
print(sum)
| Python | zaydzuhri_stack_edu_python |
function get_cmd
begin
set a = args
set cmd = none
try
begin
set cmd = a at string command
end
except any
begin
set cmd = none
end
return cmd
end function | def get_cmd():
a = request.args
cmd = None
try:
cmd = a['command']
except:
cmd = None
return cmd | Python | nomic_cornstack_python_v1 |
function play_current_song self
begin
if _current_song_id == INITIAL_SONG_ID
begin
if call song_available
begin
call next_song
end
else
begin
return false
end
end
else
begin
set song_path = call get_song_path_by_song_id _current_song_id
comment Should never be None since we checked for songs above.
if song_path is none... | def play_current_song(self) -> bool:
if self._current_song_id == INITIAL_SONG_ID:
if self._song_service.song_available():
self.next_song()
else:
return False
else:
song_path = self._song_service.get_song_path_by_song_id(self._current_so... | Python | nomic_cornstack_python_v1 |
function normalized_accuracy y_true y_pred
begin
set acc_known_samples = call accuracy_known_samples y_true y_pred
set acc_unknown_samples = call accuracy_unknown_samples y_true y_pred
if acc_known_samples is none
begin
return acc_unknown_samples
end
if acc_unknown_samples is none
begin
return acc_known_samples
end
ret... | def normalized_accuracy(y_true, y_pred):
acc_known_samples = accuracy_known_samples(y_true, y_pred)
acc_unknown_samples = accuracy_unknown_samples(y_true, y_pred)
if acc_known_samples is None:
return acc_unknown_samples
if acc_unknown_samples is None:
return acc_known_samples
ret... | Python | nomic_cornstack_python_v1 |
comment ppt 내장함수 실습하기 ~ 4월 말
string step01 func_basic
comment 1. 사용자 정의함수
comment 1) 인수가 있는것
comment 2) 인수가 없는것
comment 3) 리턴이 있는것
comment 2. 라이브러리 함수
comment 1) built - in : sum, max, min, len, abs
comment 2) import :
import statistics
comment 해당 모듈의 정보
print directory statistics
string ctrl + 클릭 : module or function ... | # ppt 내장함수 실습하기 ~ 4월 말
'''
step01 func_basic
'''
# 1. 사용자 정의함수
# 1) 인수가 있는것
# 2) 인수가 없는것
# 3) 리턴이 있는것
# 2. 라이브러리 함수
# 1) built - in : sum, max, min, len, abs
# 2) import :
import statistics
print(dir(statistics)) # 해당 모듈의 정보
'''
ctrl + 클릭 : module or function source 보기
'''
'''
step02 사용자 정의 ... | Python | zaydzuhri_stack_edu_python |
function pc_nproduced_avg self
begin
return call FreqOffCalc_sptr_pc_nproduced_avg self
end function | def pc_nproduced_avg(self):
return _ncofdm_swig.FreqOffCalc_sptr_pc_nproduced_avg(self) | Python | nomic_cornstack_python_v1 |
function _on_access_token self future response
begin
if error
begin
call set_exception call AuthError string Google auth error: %s % string response
return
end
set args = call json_decode body
call set_result args
end function | def _on_access_token(self, future, response):
if response.error:
future.set_exception(AuthError('Google auth error: %s' % str(response)))
return
args = escape.json_decode(response.body)
future.set_result(args) | Python | nomic_cornstack_python_v1 |
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