code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment Class is created here
class Socialite
begin
comment The Constructor
function __init__ self
begin
set __Last_Name = string
set __First_Name = string
set __Picture = string
set __Website = string
set __Description = string
set __UserID = string
end function
comment method that returns a string representatio... | #Class is created here
class Socialite():
#The Constructor
def __init__(self):
self.__Last_Name = ""
self.__First_Name = ""
self.__Picture = ""
self.__Website = ""
self.__Description = ""
self.__UserID = ""
#method that returns a string representation of object
de... | Python | zaydzuhri_stack_edu_python |
import unittest
from graph import DirectedGraph
from exceptions import NodeNotFound
class TestDirectedGraph extends TestCase
begin
function setUp self
begin
set _graph = call DirectedGraph
end function
function test_add_edge self
begin
call add_edge 1 2
assert in 1 _nodes
assert in 2 _nodes
assert in 1 keys _edges
end ... | import unittest
from graph import DirectedGraph
from exceptions import NodeNotFound
class TestDirectedGraph(unittest.TestCase):
def setUp(self):
self._graph = DirectedGraph()
def test_add_edge(self):
self._graph.add_edge(1, 2)
self.assertIn(1, self._graph._nodes)
self.asser... | Python | zaydzuhri_stack_edu_python |
function make_shirt size=string large message=string I love Python
begin
print string Size: + size + string , Message: + message
end function
call make_shirt
call make_shirt string medium
call make_shirt string large string Hello America!
call make_shirt message=string Goodnight Detroit! size=string medium | def make_shirt(size='large', message='I love Python'):
print('Size: ' + size + ', Message: ' + message)
make_shirt()
make_shirt('medium')
make_shirt('large', 'Hello America!')
make_shirt(message='Goodnight Detroit!', size='medium') | Python | zaydzuhri_stack_edu_python |
function __init__ self *args
begin
call TIntStrVH_swiginit self call new_TIntStrVH *args
end function | def __init__(self, *args):
_snap.TIntStrVH_swiginit(self, _snap.new_TIntStrVH(*args)) | Python | nomic_cornstack_python_v1 |
function validate_voltage file voltage
begin
comment get the filename from the full path
set filename = base name path file
comment Check 1:
comment Check RMS
set voltage_rms = square root mean np call square voltage
set voltage_mean = absolute mean np voltage
set voltage_crest_factor = call percentile absolute voltage... | def validate_voltage(file: str, voltage: np.ndarray):
filename = os.path.basename(file) #get the filename from the full path
# Check 1:
# Check RMS
voltage_rms = np.sqrt(np.mean(np.square(voltage)))
voltage_mean = np.abs(np.mean(voltage))
voltage_crest_factor = np.percentile(np.abs(voltage), 99... | Python | nomic_cornstack_python_v1 |
function es_sustantivo pos
begin
return pos == string NOUN
end function | def es_sustantivo(pos):
return pos == "NOUN" | Python | nomic_cornstack_python_v1 |
function complex_passwords self complex_passwords
begin
set _complex_passwords = complex_passwords
end function | def complex_passwords(self, complex_passwords):
self._complex_passwords = complex_passwords | Python | nomic_cornstack_python_v1 |
from db import db
from app.models import restaurants_genres
class Genre extends Model
begin
set __tablename__ = string genres
set id = call Column Integer primary_key=true
set name = call Column String nullable=false
set img_src = call Column String nullable=false
set restaurants = call relationship string Restaurant s... | from .db import db
from app.models import restaurants_genres
class Genre(db.Model):
__tablename__ = 'genres'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String, nullable=False)
img_src = db.Column(db.String, nullable=False)
restaurants = db.relationship("Restaurant", secondar... | Python | zaydzuhri_stack_edu_python |
function peered_vpc self
begin
return get pulumi self string peered_vpc
end function | def peered_vpc(self) -> Optional[pulumi.Input['PeeredVpcArgs']]:
return pulumi.get(self, "peered_vpc") | Python | nomic_cornstack_python_v1 |
function saque valor
begin
set lista = list
set notas = list 100 50 20 10
for nota in notas
begin
set quantidade = valor // nota
append lista quantidade
set valor = valor - quantidade * nota
end
if valor != 0
begin
return none
end
return lista
string quantidade = valor//100 lista.append(quantidade) valor = valor - (qu... | def saque(valor):
lista = []
notas = [100, 50, 20, 10]
for nota in notas:
quantidade = valor//nota
lista.append(quantidade)
valor = valor - (quantidade * nota)
if valor != 0:
return None
return lista
'''
quantidade = valor//100
lista.append(quantidad... | Python | zaydzuhri_stack_edu_python |
string data packer
class Packer
begin
function __init__ self data
begin
set _data = data
end function
decorator property
function data self
begin
return _data
end function
function decode self encoding=string utf-8
begin
string decode bytes to string :param encoding: :return:
set data = decode _data encoding
set _data ... | """
data packer
"""
class Packer:
def __init__(self, data):
self._data = data
@property
def data(self):
return self._data
def decode(self, encoding='utf-8'):
"""
decode bytes to string
:param encoding:
:return:
"""
data = self._... | Python | zaydzuhri_stack_edu_python |
function start_program
begin
while true
begin
call system string cls
print string ~~~~~~~~~~~~~ QUIZ INTERFACE ~~~~~~~~~~~~~~~
print string Press (0) to Log in as Admin
print string Press (1) to Play the Game
print string Press (2) to exit the program
set user_input = input string Please Enter your choice :
if user_inp... | def start_program():
while True:
system('cls')
print("\n~~~~~~~~~~~~~ QUIZ INTERFACE ~~~~~~~~~~~~~~~")
print("Press (0) to Log in as Admin")
print("Press (1) to Play the Game")
print("Press (2) to exit the program")
user_input = input("Please Enter your choice : ")
... | Python | nomic_cornstack_python_v1 |
function set_up_for_eigenmode_search self
begin
set pos0 = call get_positions
call update_center_forces
call update_virtual_positions
call reset_counter string rotcount
set forces1E = none
end function | def set_up_for_eigenmode_search(self):
self.pos0 = self.atoms.get_positions()
self.update_center_forces()
self.update_virtual_positions()
self.control.reset_counter('rotcount')
self.forces1E = None | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
comment 1定义变量及滑动平均类
comment 定义一个32位浮点变量，初始值0.0这个代码就是不断更新w1参数
comment 优化w1参数，滑动平均做了个w1的影子
set w1 = call Variable 0 dtype=float32
comment 定义num_updates(NN迭代轮数)，初始值为0，不可被优化（训练）
comment 这个参数不训练
set global_step = call Variable 0 trainable=false
comment 实例化滑动平均类，给删减率为0.99，当前轮数global_step
set MOVING_AV... | import tensorflow as tf
#1定义变量及滑动平均类
#定义一个32位浮点变量，初始值0.0这个代码就是不断更新w1参数
#优化w1参数，滑动平均做了个w1的影子
w1=tf.Variable(0,dtype=tf.float32)
#定义num_updates(NN迭代轮数)，初始值为0，不可被优化（训练）
#这个参数不训练
global_step=tf.Variable(0,trainable=False)
#实例化滑动平均类，给删减率为0.99，当前轮数global_step
MOVING_AVERAGE_DECAY=0.99
ema=tf.train.ExponentialMovingAverage(M... | Python | zaydzuhri_stack_edu_python |
function xml_parser xml_file
begin
set x = get root parse ET xml_file
set data = call DataFrame index=range 1 length x + 1 columns=list string pitch string onsetSec string offsetSec
set n_notes = 0
for event in find all string event
begin
for e in event
begin
set tag = tag
set iloc at n_notes at tag = decimal text
end
... | def xml_parser(xml_file):
x = ET.parse(xml_file).getroot()
data = pd.DataFrame(
index=range(1, len(x) + 1), columns=['pitch', 'onsetSec', 'offsetSec']
)
n_notes = 0
for event in x.findall('event'):
for e in event:
tag = e.tag
data.iloc[n_notes][tag] = float(e... | Python | nomic_cornstack_python_v1 |
import sys
set stdin = open string 1987.alphabet.txt
import collections
set dyx = list list 1 0 list - 1 0 list 0 - 1 list 0 1
function bfs y x
begin
global maxi
set q = deque list tuple y x string sheet at 0 at 0 1
while q
begin
set tuple y x check step = call popleft
for i in range 4
begin
set ny = dyx at i at 0 + y
... | import sys
sys.stdin=open('1987.alphabet.txt')
import collections
dyx=[[1,0],[-1,0],[0,-1],[0,1]]
def bfs(y,x):
global maxi
q=collections.deque([(y,x,str(sheet[0][0]),1)])
while q:
y,x,check,step=q.popleft()
for i in range(4):
ny=dyx[i][0]+y
nx=dyx[i][1]+x
... | Python | zaydzuhri_stack_edu_python |
import time
try
begin
import urllib.urequest as urllibreq
end
except any
begin
import urllib.request as urllibreq
end
function GetStartTimes2 hour
begin
set data = dict
set data at string language = string de
set data at string commonMacro = string true
set data at string name_origin = string 2000124
set data at strin... | import time
try:
import urllib.urequest as urllibreq
except:
import urllib.request as urllibreq
def GetStartTimes2(hour):
data = {}
data['language'] = 'de'
data['commonMacro'] = 'true'
data['name_origin'] = '2000124'
data['type_origin'] = 'any'
data['nameInput_origin'] = '2000124'
... | Python | zaydzuhri_stack_edu_python |
function undeploy_advance_op_handler self
begin
call __undeploy_function string advance_op
end function | def undeploy_advance_op_handler(self):
self.__undeploy_function("advance_op") | Python | nomic_cornstack_python_v1 |
string Author: Sanidhya Mangal, Ravinder Singh github:sanidhyamangal email: sanidhya.mangal@engineerbabu
import datetime
import uuid
from django.db import models
comment Create your models here.
class BaseModel extends Model
begin
string A base model to deal with all the asbtracrt level model creations
class Meta
begin... | """
Author: Sanidhya Mangal, Ravinder Singh
github:sanidhyamangal
email: sanidhya.mangal@engineerbabu
"""
import datetime
import uuid
from django.db import models
# Create your models here.
class BaseModel(models.Model):
"""A base model to deal with all the asbtracrt level model creations"""
class Meta:
... | Python | zaydzuhri_stack_edu_python |
from datetime import datetime , timedelta
from time import sleep
import requests
import tempfile
import pytz
from polybot import Bot
from insight import fetch_images
class InsightImages extends Bot
begin
function init self
begin
set state at string last_img_time = replace call datetime 2020 9 5 0 0 0 tzinfo=utc
set sta... | from datetime import datetime, timedelta
from time import sleep
import requests
import tempfile
import pytz
from polybot import Bot
from insight import fetch_images
class InsightImages(Bot):
def init(self):
self.state["last_img_time"] = datetime(2020, 9, 5, 0, 0, 0).replace(tzinfo=pytz.utc)
self.... | Python | zaydzuhri_stack_edu_python |
comment Roger Guo
comment CMSC 210
comment Homework Assignment #1
comment IHRTLUHC
comment An alternative way to fit a quadratic polynomial to a set of three data points (using two linear interpolations)
comment The initial set of data points
set x0 = 1.04
set y0 = 2.71
set x1 = 1.51
set y1 = 2.55
set x2 = 1.83
set y2 ... | # Roger Guo
# CMSC 210
# Homework Assignment #1
# IHRTLUHC
# An alternative way to fit a quadratic polynomial to a set of three data points (using two linear interpolations)
# The initial set of data points
x0 = 1.04
y0 = 2.71
x1 = 1.51
y1 = 2.55
x2 = 1.83
y2 = 2.82
# To construct the equation of a line... | Python | zaydzuhri_stack_edu_python |
comment Analisis gramatico de las oraciones que se utilizaron para el experimento de Cloze-Task Oraciones online en 2020 ###
comment Importo los paquetes necesarios
from os import get_terminal_size
from numpy import False_ , true_divide
import spacy
from spacy_syllables import SpacySyllables
import pandas as pd
import ... | ### Analisis gramatico de las oraciones que se utilizaron para el experimento de Cloze-Task Oraciones online en 2020 ###
### Importo los paquetes necesarios
from os import get_terminal_size
from numpy import False_, true_divide
import spacy
from spacy_syllables import SpacySyllables
import pandas as pd
import re
impo... | Python | zaydzuhri_stack_edu_python |
function test_process_view_middleware self
begin
get client string /utils/xview/
end function | def test_process_view_middleware(self):
self.client.get('/utils/xview/') | Python | nomic_cornstack_python_v1 |
function __init__ self hidden_size num_layers=1 input_size=none bias=true batch_first=false dropout=0 bidirectional=false name=none
begin
comment checking the input_size, it is a optional field
if input_size is not none and not is instance input_size int and input_size > 0
begin
raise call ValueError string Please prov... | def __init__(
self,
hidden_size,
num_layers=1,
input_size=None,
bias=True,
batch_first=False,
dropout=0,
bidirectional=False,
name=None,
):
# checking the input_size, it is a optional field
if input_size is not None and not (
... | Python | nomic_cornstack_python_v1 |
function keep_evens nums
begin
set new_list = list comprehension num * 2 for num in nums if num % 2 == 0
return new_list
end function
print call keep_evens list 3 4 6 7 0 1
set things = list 3 4 6 7 0 1
comment chaining together filter and map:
comment first, filter to keep only the even numbers
comment double each of ... | ####################################################
def keep_evens(nums):
new_list = [num*2 for num in nums if num % 2 == 0]
return new_list
print(keep_evens([3, 4, 6, 7, 0, 1]))
####################################################
things = [3, 4, 6, 7, 0, 1]
# chaining together filter and map:
# first, filte... | Python | zaydzuhri_stack_edu_python |
import requests
from bs4 import BeautifulSoup
from collections import Counter
comment request to get the html
set response = get requests string http://example.com/
comment parse the html
set soup = call BeautifulSoup text string html.parser
comment retrieve the text from the page
set text = get text soup
comment get t... | import requests
from bs4 import BeautifulSoup
from collections import Counter
#request to get the html
response = requests.get('http://example.com/')
# parse the html
soup = BeautifulSoup(response.text, 'html.parser')
# retrieve the text from the page
text = soup.get_text()
# get the word count
words = text.split()... | Python | flytech_python_25k |
function total_items_discount self total_items_discount
begin
set _total_items_discount = total_items_discount
end function | def total_items_discount(self, total_items_discount):
self._total_items_discount = total_items_discount | Python | nomic_cornstack_python_v1 |
function pc_nproduced self
begin
return call ldpc_encoder_sptr_pc_nproduced self
end function | def pc_nproduced(self):
return _ccsds_swig.ldpc_encoder_sptr_pc_nproduced(self) | Python | nomic_cornstack_python_v1 |
function count_trees right
begin
set col = 0
set count = 0
with open string input.txt string r as fil
begin
set line = read line fil
set col = col + right
set col = col % length line - 1
while line
begin
set line = read line fil
if length line == 0
begin
break
end
if line at col == string #
begin
set count = count + 1
... | def count_trees(right):
col = 0
count = 0
with open('input.txt', 'r') as fil:
line = fil.readline()
col += right
col = col % (len(line) - 1)
while line:
line = fil.readline()
if len(line) == 0:
break
if line[col] == '#':
... | Python | zaydzuhri_stack_edu_python |
import torch
set x1 = tensor
print x1
set x2 = tensor list 1 2 3
print x2
print size x2
print dtype
set x3 = tensor list 1 2 3
set x4 = call as_tensor list 1 2 3
print x3
print x4
print x3 + x4
comment print (x2+x3)
print dtype
print device
print layout
print call eye 2
print zeros 2 2
print ones 2 2
print call rand 2
... | import torch
x1 = torch.Tensor()
print (x1)
x2 = torch.Tensor([1,2,3])
print (x2)
print (x2.size())
print (x2.dtype)
x3 = torch.tensor([1,2,3])
x4 = torch.as_tensor([1,2,3])
print (x3)
print (x4)
print (x3+x4)
#print (x2+x3)
print (x4.dtype)
print (x4.device)
print (x4.layout)
print (torch.eye(2))
print (torch.zer... | Python | zaydzuhri_stack_edu_python |
function grab self monitor
begin
comment type: (Monitor) -> ScreenShot
string See :meth:`MSSMixin.grab <mss.base.MSSMixin.grab>` for full details.
comment pylint: disable=too-many-locals
comment Convert PIL bbox style
if is instance monitor tuple
begin
set monitor = dict string left monitor at 0 ; string top monitor at... | def grab(self, monitor):
# type: (Monitor) -> ScreenShot
"""
See :meth:`MSSMixin.grab <mss.base.MSSMixin.grab>` for full details.
"""
# pylint: disable=too-many-locals
# Convert PIL bbox style
if isinstance(monitor, tuple):
monitor = {
... | Python | jtatman_500k |
function test_check_min_cppstd_from_outdated_settings cppstd
begin
set conanfile = call _create_conanfile string gcc string 9 string Linux cppstd string libstdc++
with raises ConanInvalidConfiguration as exc
begin
call check_min_cppstd conanfile string 17 false
end
assert format string Current cppstd ({}) is lower than... | def test_check_min_cppstd_from_outdated_settings(cppstd):
conanfile = _create_conanfile("gcc", "9", "Linux", cppstd, "libstdc++")
with pytest.raises(ConanInvalidConfiguration) as exc:
check_min_cppstd(conanfile, "17", False)
assert "Current cppstd ({}) is lower than the required C++ standard (17)." ... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import pylab as P
set df = read csv string psq-tms.csv
unique
set trial1 = df at string Population type == string Asylum seekers
set trial2 = df at string Population type == string Refugees
comment sum(trial1|trial2)
set df = df at trial1 ? trial2
set columns = list string Destina... | import pandas as pd
import numpy as np
import pylab as P
df = pd.read_csv("psq-tms.csv")
df["Population type"].unique()
trial1 = (df["Population type"] == "Asylum seekers")
trial2 = (df["Population type"] == "Refugees")
# sum(trial1|trial2)
df = df[trial1|trial2]
df.columns = ["Destination", "Origin", "Type", ... | Python | zaydzuhri_stack_edu_python |
string Abstracts calculation of delta in the output and gradient delta.
import numpy as np
from numpy import ndarray as Tensor
class LossFunction
begin
function calcOutputLoss self expectedOutput predictedOutput
begin
raise NotImplementedError
end function
function calcOuptutGradient self expectedOutput predictedOutput... | """
Abstracts calculation of delta in the output and gradient delta.
"""
import numpy as np
from numpy import ndarray as Tensor
class LossFunction:
def calcOutputLoss(self, expectedOutput: Tensor, predictedOutput: Tensor) -> float:
raise NotImplementedError
def calcOuptutGradient(self, expectedOutput... | Python | zaydzuhri_stack_edu_python |
function db_show_all
begin
set the_list = list
set db = open the_phone_book_name flag=string c writeback=true
for key in db
begin
set person = call Person
set name = key
set phone = db at key
append the_list person
end
call display_list the_list
close db
end function | def db_show_all():
the_list = []
db = sh.open(the_phone_book_name, flag='c', writeback=True)
for key in db:
person = Person()
person.name = key
person.phone = db[key]
the_list.append(person)
display_list(the_list)
db.close() | Python | nomic_cornstack_python_v1 |
string 给你一个整数 columnNumber ，返回它在 Excel 表中相对应的列名称。 例如： A -> 1 B -> 2 C -> 3 ... Z -> 26 AA -> 27 AB -> 28 ... 示例 1： 输入：columnNumber = 1 输出："A" 示例 2： 输入：columnNumber = 28 输出："AB" 示例 3： 输入：columnNumber = 701 输出："ZY" 示例 4： 输入：columnNumber = 2147483647 输出："FXSHRXW" 提示： 1 <= columnNumber <= 231 - 1
from leetcode.tools.time i... | '''
给你一个整数 columnNumber ，返回它在 Excel 表中相对应的列名称。
例如：
A -> 1
B -> 2
C -> 3
...
Z -> 26
AA -> 27
AB -> 28
...
示例 1：
输入：columnNumber = 1
输出："A"
示例 2：
输入：columnNumber = 28
输出："AB"
示例 3：
输入：columnNumber = 701
输出："ZY"
示例 4：
输入：columnNumber = 2147483647
输出："FXSHRXW"
提示：
1 <= columnNumber <=... | Python | zaydzuhri_stack_edu_python |
comment Dictionary basics :D
comment 1 - Define a dictionary call story1, it should have the followign keys:
comment start, middle and end
set story_dict = dict string start string In the beginning there was a hero named bob ; string middle string as he fought on with the evil wizard his bald head kept shining like a c... | # Dictionary basics :D
#1 - Define a dictionary call story1, it should have the followign keys:
# start, middle and end
story_dict = {'start': 'In the beginning there was a hero named bob',
'middle': 'as he fought on with the evil wizard his bald head kept shining like a cue ball',
'... | Python | zaydzuhri_stack_edu_python |
function enable auto_colors=false reset_atexit=false
begin
string Enables color text with print() or sys.stdout.write() (stderr too). Keyword arguments: auto_colors -- automatically selects dark or light colors based on current terminal's background color. Only works with {autored} and related tags. reset_atexit -- res... | def enable(auto_colors=False, reset_atexit=False):
"""Enables color text with print() or sys.stdout.write() (stderr too).
Keyword arguments:
auto_colors -- automatically selects dark or light colors based on current terminal's background color. Only
works with {autored} and related ... | Python | jtatman_500k |
import datacube
from datacube.storage.masking import mask_invalid_data
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
from scripts.combiner import create_composite , get_mask
function ploting_rgb_xarray_for_one_day x_array time_index min_possible=0 max_possib... | import datacube
from datacube.storage.masking import mask_invalid_data
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
from scripts.combiner import create_composite, get_mask
def ploting_rgb_xarray_for_one_day(x_array,time_index, min_possible=0, max_possib... | Python | zaydzuhri_stack_edu_python |
import openpyxl , os
change directory string F://
comment print(os.listdir())
set wb = call load_workbook string example.xlsx
print type wb
print call get_sheet_names
set sheet = call get_sheet_by_name string Sheet3
print sheet
print type sheet
print title
set anotherSheet = active
comment anotherSheet = wb.get_active_... | import openpyxl, os
os.chdir("F://")
#print(os.listdir())
wb = openpyxl.load_workbook('example.xlsx')
print(type(wb))
print(wb.get_sheet_names())
sheet = wb.get_sheet_by_name('Sheet3')
print(sheet)
print(type(sheet))
print(sheet.title)
anotherSheet = wb.active
#anotherSheet = wb.get_active_sheet() changed to... | Python | zaydzuhri_stack_edu_python |
from random import randint
comment delete
from random import seed
from collections import Counter
comment When submit assignment, delete it
function dice_type_recogniser dice
begin
set counter = dict
for num in range 6
begin
set counter at num = 0
end
for d in dice
begin
set counter at d = counter at d + 1
end
set max... | from random import randint
from random import seed # delete
from collections import Counter
# When submit assignment, delete it
def dice_type_recogniser(dice):
counter = {}
for num in range(6):
counter[num] = 0
for d in dice:
counter[d] += 1
max_dice_num = max(counter.values())
i... | Python | zaydzuhri_stack_edu_python |
import unittest
from app.utility.validator import validate_name , validate_id , validate_phone_number
class TestUtility extends TestCase
begin
function test_validate_name_with_valid_input self
begin
assert equal true call validate_name string ชายยย
end function
function test_validate_name_with_valid_input_string_of_int... | import unittest
from app.utility.validator import validate_name, validate_id, validate_phone_number
class TestUtility(unittest.TestCase):
def test_validate_name_with_valid_input(self):
self.assertEqual(True, validate_name("ชายยย"))
def test_validate_name_with_valid_input_string_of_int(self):
... | Python | zaydzuhri_stack_edu_python |
function convert celsius
begin
set fahrenheit = celsius * 1.8 + 32
return fahrenheit
end function
function table
begin
print format string {:10} {:10} string F string C
for temp in range - 30 50 10
begin
print format string {:5} {:7} call convert temp temp
end
end function
call table | def convert(celsius):
fahrenheit = celsius * 1.8 + 32
return fahrenheit
def table():
print('{:10} {:10}'.format('F', 'C'))
for temp in range(-30, 50, 10):
print('{:5} {:7}'.format(convert(temp), temp))
table()
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python2
import json
import base64
from urllib import urlencode
from urllib2 import urlopen , Request
comment Documentation https://tech.yandex.ru/pdd/doc/concepts/api-dns-docpage/
function get_sub_id domain ip token
begin
set base_params = dict string domain domain
set r_id = list
set dnsrequest ... | #!/usr/bin/env python2
import json
import base64
from urllib import urlencode
from urllib2 import urlopen, Request
# Documentation https://tech.yandex.ru/pdd/doc/concepts/api-dns-docpage/
def get_sub_id(domain,ip,token):
base_params = {
'domain': domain,
}
r_id = []
dnsrequest = Request("https... | Python | zaydzuhri_stack_edu_python |
comment Import internal tools
from logging import Logging
comment Setup logger
set log = call Logging
class UpdateTool
begin
function __init__ self force lang media metadata url
begin
set date = none
set force = force
set genre_child = none
set genre_parent = none
set lang = lang
set media = media
set metadata = metada... | # Import internal tools
from logging import Logging
# Setup logger
log = Logging()
class UpdateTool:
def __init__(self, force, lang, media, metadata, url):
self.date = None
self.force = force
self.genre_child = None
self.genre_parent = None
self.lang = lang
self.me... | Python | zaydzuhri_stack_edu_python |
function __init__ self abscisse=0 ordonnee=0
begin
set abscisse = abscisse
set ordonnee = ordonnee
end function | def __init__(self, abscisse = 0, ordonnee = 0):
self.abscisse = abscisse
self.ordonnee = ordonnee | Python | nomic_cornstack_python_v1 |
function get_output_files self action
begin
set method_mapping = dict string access _get_output_files_access ; string target _get_output_files_target ; string antitarget _get_output_files_antitarget ; string coverage _get_output_files_coverage ; string reference _get_output_files_reference ; string fix _get_output_file... | def get_output_files(self, action):
method_mapping = {
"access": self._get_output_files_access,
"target": self._get_output_files_target,
"antitarget": self._get_output_files_antitarget,
"coverage": self._get_output_files_coverage,
"reference": self._ge... | Python | nomic_cornstack_python_v1 |
function GetClassName self
begin
return string IntProperty2
end function | def GetClassName(self):
return "IntProperty2" | Python | nomic_cornstack_python_v1 |
from PIL import Image
import numpy as np
function generate_map_with_path map_image output_image path_coordinates path_color
begin
string Creates an image file with the path drawn over the given path coordinates
set im = open map_image
set px = load im
set tuple w h = size
set pixels = list
for x in range h
begin
appen... | from PIL import Image
import numpy as np
def generate_map_with_path(map_image, output_image, path_coordinates, path_color):
'''Creates an image file with the path drawn over the given path coordinates'''
im = Image.open(map_image)
px = im.load()
w, h = im.size
pixels = []
for x... | Python | zaydzuhri_stack_edu_python |
comment This code uses the random module
import random
comment Generate random number from 0 to 100
set randomNumber = random integer 0 100
comment Ask user to guess the number
comment Keep guessing till user gets it right
while true
begin
set userNumber = integer input string Guess the number:
if userNumber == randomN... | # This code uses the random module
import random
# Generate random number from 0 to 100
randomNumber = random.randint(0, 100)
# Ask user to guess the number
# Keep guessing till user gets it right
while True:
userNumber = int(input("Guess the number: "))
if userNumber == randomNumber:
print("Yo... | Python | jtatman_500k |
function gather reference indices
begin
assert call ndim reference == 2
set indices = call Cast symbol dtype=dtype
return call KerasSymbol call take symbol indices
end function | def gather(reference, indices):
assert ndim(reference) == 2
indices = mx.sym.Cast(indices.symbol, dtype=reference.dtype)
return KerasSymbol(mx.sym.take(reference.symbol, indices)) | Python | nomic_cornstack_python_v1 |
string https://leetcode.com/problems/count-good-numbers/
class Solution
begin
function countGoodNumbers self n
begin
set MOD = 10 ^ 9 + 7
set evenCounts = power 5 n - n ? 1 MOD
set oddCounts = power 4 n ? 1 MOD
return evenCounts * oddCounts % MOD
end function
end class | """
https://leetcode.com/problems/count-good-numbers/
"""
class Solution:
def countGoodNumbers(self, n: int) -> int:
MOD = 10 ** 9 + 7
evenCounts = pow(5, n - (n >> 1), MOD)
oddCounts = pow(4, n >> 1, MOD)
return (evenCounts * oddCounts) % MOD | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
set mnist = call read_data_sets string MNIST_data/ one_hot=true
set tuple trX trY teX teY = tuple images labels images labels
class RBM
begin
function __init__ self input_size output_size
begin
set _input_size = input_... | import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
trX, trY, teX, teY = mnist.train.images, mnist.train.labels, mnist.test.images, mnist.test.labels
class RBM:
def __init__(self, input_size, output_s... | Python | zaydzuhri_stack_edu_python |
comment ! cat input | python3 main.py
import sys
set n = integer input
set a = list sorted map int split input
set M = 10 ^ 9 + 7
set end = lambda x -> print x or exit
set result = 1
set n2 = n % 2
if n2 == a at 0 % 2
begin
call end 0
end
set tmp = none
if n2
begin
if a at 0
begin
call end 0
end
end
else
if not a at 0 ... | #! cat input | python3 main.py
import sys
n = int(input())
a = list(sorted(map(int, input().split())))
M = 10**9 + 7
end = lambda x: print(x) or sys.exit()
result = 1
n2 = n % 2
if n2 == a[0] % 2:
end(0)
tmp = None
if n2:
if a[0]:
end(0)
else:
if not a[0] == a[1] == 1:
end(0)
for a1, a2 in... | Python | zaydzuhri_stack_edu_python |
for i in range 2 n + 1
begin
for j in range 2 i
begin
if i % j == 0
begin
set k = k + 1
end
end
if k == 0
begin
append prostye_chisla i
end
else
begin
set k = 0
end
end
print prostye_chisla | for i in range(2, n + 1):
for j in range(2, i):
if i % j == 0:
k = k + 1
if k == 0:
prostye_chisla.append(i)
else:
k = 0
print(prostye_chisla)
| Python | zaydzuhri_stack_edu_python |
function test_nonItem client
begin
set rv = get client string /items/name/Non existent
assert status_code == 404
assert data in b'{"message": "Sorry, right now we are out of stock of the item Non existent comeback later and try again"}\n'
end function | def test_nonItem(client):
rv = client.get("/items/name/Non existent")
assert rv.status_code == 404
assert (
rv.data
in b'{"message": "Sorry, right now we are out of stock of the item Non existent comeback later and try again"}\n'
) | Python | nomic_cornstack_python_v1 |
import settings
import json
import logging
set logger = call getLogger string dictionary
class Dictionary
begin
set CONST_SEARCH_EXACT = string EXACT
set CONST_SEARCH_STARTS_WITH = string STARTS_WITH
set CONST_SEARCH_CONTAINS = string CONTAINS
set dictionary = none
function __init__ self
begin
if call is_production
beg... | import settings
import json
import logging
logger = logging.getLogger('dictionary')
class Dictionary():
CONST_SEARCH_EXACT = "EXACT"
CONST_SEARCH_STARTS_WITH = "STARTS_WITH"
CONST_SEARCH_CONTAINS = "CONTAINS"
dictionary = None
def __init__(self):
if settings.is_production():
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding:utf8 -*-
string Created on 2018年2月1日 @author: root
string import socket host,port = '192.168.20.232',18000 s = socket.socket() s.connect((host,port)) while 1: senddata = raw_input("please input data:") s.sendall(senddata) recvdata = s.recv(1024) print recvdata
from socket... | #!/usr/bin/env python
# -*- coding:utf8 -*-
'''
Created on 2018年2月1日
@author: root
'''
'''
import socket
host,port = '192.168.20.232',18000
s = socket.socket()
s.connect((host,port))
while 1:
senddata = raw_input("please input data:")
s.sendall(senddata)
recvdata = s.recv(1024)
print recvdata
'''
... | Python | zaydzuhri_stack_edu_python |
function subject self
begin
return _subject
end function | def subject(self):
return self._subject | Python | nomic_cornstack_python_v1 |
import torch
import torch.nn as nn
class RnnLayer extends Module
begin
function __init__ self input_dim output_dim
begin
call __init__
set output_dim = output_dim
set input_dim = input_dim
set inputLinear = linear input_dim output_dim bias=false
set hiddenLinear = linear output_dim output_dim bias=true
set activation =... | import torch
import torch.nn as nn
class RnnLayer(nn.Module):
def __init__(self, input_dim, output_dim):
super().__init__()
self.output_dim = output_dim
self.input_dim = input_dim
self.inputLinear = nn.Linear(input_dim, output_dim, bias=False)
self.hiddenLinear = nn.Line... | Python | zaydzuhri_stack_edu_python |
function create_rng random_state
begin
if random_state is none
begin
return call RandomState 17
end
else
if is instance random_state int
begin
return call RandomState random_state
end
else
if is instance random_state RandomState
begin
return random_state
end
else
begin
raise call TypeError string Must pass either a Non... | def create_rng(random_state):
if random_state is None:
return np.random.RandomState(17)
elif isinstance(random_state, int):
return np.random.RandomState(random_state)
elif isinstance(random_state, np.random.RandomState):
return random_state
else:
raise TypeError("Must pas... | Python | nomic_cornstack_python_v1 |
function most_eggs_in_pot n_eggs most_eggs most_grams
begin
set total_grams = 0
set total_eggs = 0
set ls_eggs = map int split call raw_input
sort ls_eggs
set i = 0
while i < n_eggs
begin
set cur_gram = pop ls_eggs 0
if total_grams + cur_gram > most_grams or total_eggs >= most_eggs
begin
break
end
set total_grams = tot... | def most_eggs_in_pot(n_eggs, most_eggs, most_grams):
total_grams = 0
total_eggs = 0
ls_eggs = map(int, raw_input().split())
ls_eggs.sort()
i = 0
while i < n_eggs :
cur_gram = ls_eggs.pop(0)
if total_grams+cur_gram > most_grams or \
total_eggs >= most_eggs:
... | Python | zaydzuhri_stack_edu_python |
function override_value self name value special_type
begin
if value
begin
if special_type
begin
set value = call format_type value special_type
end
call set_by_namespace master_configuration name value
end
end function | def override_value(self, name, value, special_type):
if value:
if special_type:
value = self.format_type(value, special_type)
self.set_by_namespace(self.master_configuration, name, value) | Python | nomic_cornstack_python_v1 |
for i in range 0 10
begin
if integer c at i < b
begin
append d c at i
end
end
print join string d | for i in range(0,10):
if int(c[i]) < b :
d.append(c[i])
print(' '.join(d))
| Python | zaydzuhri_stack_edu_python |
class SimpleStringEncoder
begin
string To get random letters from the letters letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890.-_= " letters = list(letters) numpy.random.shuffle(letters) print(''.join(letters))
comment all the required letters in random order
set letters = string _2F3x6RzZAByVq... | class SimpleStringEncoder:
"""To get random letters from the letters
letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890.-_= "
letters = list(letters)
numpy.random.shuffle(letters)
print(''.join(letters))
"""
# all the required letters in random order
... | Python | zaydzuhri_stack_edu_python |
function get self checklist_type
begin
comment validate_privilege(self, 'manage')
set result = call get_questions checklist_type
return tuple result 200 call security_headers
end function | def get(self, checklist_type):
#validate_privilege(self, 'manage')
result = get_questions(checklist_type)
return result, 200, security_headers() | Python | nomic_cornstack_python_v1 |
function __init__ self features labels raw_indices batch_size=50 seed=42
begin
assert shape at 0 == shape at 0 msg string features.shape: %s labels.shape: %s % tuple shape shape
set _num_examples = shape at 0
set _features = features
set _labels = labels
set _shuffled_features = copy np features
set _shuffled_labels = ... | def __init__(self,
features,
labels,
raw_indices,
batch_size=50,
seed=42):
assert features.shape[0] == labels.shape[0], (
'features.shape: %s labels.shape: %s' % (features.shape, labels.shape))
self._num_examples = ... | Python | nomic_cornstack_python_v1 |
function effects self raise_on_error=true
begin
string Parameters ---------- raise_on_error : bool, optional If exception is raised while determining effect of variant on a transcript, should it be raised? This default is True, meaning errors result in raised exceptions, otherwise they are only logged.
return call Effe... | def effects(self, raise_on_error=True):
"""
Parameters
----------
raise_on_error : bool, optional
If exception is raised while determining effect of variant on a
transcript, should it be raised? This default is True, meaning
errors result in raised exc... | Python | jtatman_500k |
function _get_simplified_visible_line self plaza_geometry line tolerance
begin
set simplified_line = call simplify tolerance preserve_topology=false
return if expression call line_visible plaza_geometry simplified_line visibility_delta_m then simplified_line else line
end function | def _get_simplified_visible_line(self, plaza_geometry: Polygon, line: LineString, tolerance):
simplified_line = line.simplify(tolerance, preserve_topology=False)
return simplified_line if utils.line_visible(plaza_geometry, simplified_line, self.visibility_delta_m) else line | Python | nomic_cornstack_python_v1 |
function _configure_plugin self
begin
comment The execution setting.
if string Execution in configuration
begin
set config at string execution = configuration at string Execution
debug string Workflow %s execution parameters: %s. % tuple name config at string execution
end
comment The Nipype plug-in parameters.
if plug... | def _configure_plugin(self):
# The execution setting.
if 'Execution' in self.configuration:
self.workflow.config['execution'] = self.configuration['Execution']
self.logger.debug(
"Workflow %s execution parameters: %s." %
(self.workflow.name, self.w... | Python | nomic_cornstack_python_v1 |
function test_fma_nan_param_okarray_okarray_nanarray_okarray_b_0 self
begin
comment The expected results.
set expected = list comprehension x * y + z for tuple x y z in zip okarrayx okarrayy nanarrayz
comment Exceptions are turned off so we can use the results to test for correct values.
call fma okarrayx okarrayy nana... | def test_fma_nan_param_okarray_okarray_nanarray_okarray_b_0(self):
# The expected results.
expected = [(x * y + z) for x,y,z in zip(self.okarrayx, self.okarrayy, self.nanarrayz)]
# Exceptions are turned off so we can use the results to test for correct values.
arrayfunc.fma(self.okarrayx, self.okarrayy, self.n... | Python | nomic_cornstack_python_v1 |
function to_dict self
begin
set result = dict
for tuple attr _ in call iteritems swagger_types
begin
set value = get attribute self attr
if is instance value list
begin
set result at attr = list map lambda x -> if expression has attribute x string to_dict then call to_dict else x value
end
else
if has attribute value ... | def to_dict(self):
result = {}
for attr, _ in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
... | Python | nomic_cornstack_python_v1 |
function create_table self conn sql_query
begin
try
begin
set c = call cursor
execute c sql_query
end
except Error as e
begin
error string %s e
end
end function | def create_table(self ,conn, sql_query):
try:
c = conn.cursor()
c.execute(sql_query)
except Error as e:
self.logger.error("%s",e) | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
comment In[11]:
set tuple x y = list comprehension integer i for i in split input
set k = integer input
set N = integer input
set price = list
for j in range N
begin
set tuple x_i y_i p_i = list comprehension integer i for i in split input
set distance = x - x_i ^ 2 + y - y_i ^ 2
append price dic... | # coding: utf-8
# In[11]:
x, y = [int(i) for i in input().split()]
k = int(input())
N = int(input())
price = []
for j in range(N):
x_i, y_i, p_i = [int(i) for i in input().split()]
distance = (x - x_i)**2 + (y - y_i)**2
price.append({"x": x_i, "y": y_i, "p": p_i, "dis": distance})
price = sorted(pri... | Python | zaydzuhri_stack_edu_python |
function e_im E
begin
set result = sum 1 / E * A * E_0 * G * E - E_g ^ 2 / E ^ 2 - E_0 ^ 2 ^ 2 + G ^ 2 * E ^ 2 axis=1
set out = where E at tuple slice : : 0 > E_g result 0
return out
end function | def e_im(E):
result = np.sum(1 / E * A * E_0 * G * (E - E_g)**2 / ((E**2 - E_0**2)**2 + G**2 * E**2), axis=1)
out = np.where(E[:,0] > E_g, result, 0)
return out | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Time : 3/5/2018 1:49 PM
comment @Author : sunyonghai
comment @File : xml_utils.py
comment @Software: ZJ_AI
comment 此程序用于编辑xml文件
comment =========================================================
import random
import xml.etree.ElementTree as ET
from xml.... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 3/5/2018 1:49 PM
# @Author : sunyonghai
# @File : xml_utils.py
# @Software: ZJ_AI
#此程序用于编辑xml文件
# =========================================================
import random
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import Element
import os
im... | Python | jtatman_500k |
function generate_frequency_table sequence
begin
set frequency_table = dict
for char in sequence
begin
if char in frequency_table
begin
set frequency_table at char = frequency_table at char + 1
end
else
begin
set frequency_table at char = 1
end
end
return frequency_table
end function
comment Example usage
set sequence... | def generate_frequency_table(sequence):
frequency_table = {}
for char in sequence:
if char in frequency_table:
frequency_table[char] += 1
else:
frequency_table[char] = 1
return frequency_table
# Example usage
sequence = "abcbab"
frequency_table = generate_frequency_t... | Python | jtatman_500k |
function GenomeLen
begin
global sep
set genome = dict
set samfile = call Samfile string /Users/ivang/Bioinformatics/Bioinformatics/express/Post-eXpress_Header_%s.sam % g string r
set header = header at string SQ
comment Iterate through the reference sequences in the header
for i in header
begin
set genome at i at stri... | def GenomeLen():
global sep
genome = {}
samfile = pys.Samfile('/Users/ivang/Bioinformatics/Bioinformatics/express/Post-eXpress_Header_%s.sam' % args.g,'r')
header = samfile.header['SQ']
# Iterate through the reference sequences in the header
for i in header:
genome[i['SN']] = np.zeros(np.floor(i['LN']/int... | Python | nomic_cornstack_python_v1 |
class Dice
begin
function __init__ self
begin
set number = list comprehension i for i in range 6
set work = list comprehension i for i in range 6
end function
function setNumber self n0 n1 n2 n3 n4 n5
begin
set number at 0 = n0
set number at 1 = n1
set number at 2 = n2
set number at 3 = n3
set number at 4 = n4
set numb... | class Dice():
def __init__(self):
self.number = [i for i in range(6)]
self.work = [i for i in range(6)]
def setNumber(self, n0, n1, n2, n3, n4, n5):
self.number[0] = n0
self.number[1] = n1
self.number[2] = n2
self.number[3] = n3
self.number[4] =... | Python | zaydzuhri_stack_edu_python |
function test_plotting_peak_assignments
begin
comment First, generate a testing dataset.
set hdf5_calfilename = string ramandecompy/tests/test_files/peakidentify_calibration_test.hdf5
set hdf5_expfilename = string ramandecompy/tests/test_files/peakidentify_experiment_test.hdf5
set key = string 300C/25s
set calhdf5 = ca... | def test_plotting_peak_assignments():
#First, generate a testing dataset.
hdf5_calfilename = 'ramandecompy/tests/test_files/peakidentify_calibration_test.hdf5'
hdf5_expfilename = 'ramandecompy/tests/test_files/peakidentify_experiment_test.hdf5'
key = '300C/25s'
calhdf5 = h5py.File(hdf5_calfilename, ... | Python | nomic_cornstack_python_v1 |
string CSC263 Winter 2019 Problem Set 2, Question 3 Starter Code University of Toronto Mississauga
comment Do NOT add any "import" statements
class Node
begin
function __init__ self value
begin
set value = value
set left = none
set right = none
set height = 1
set balance_factor = 0
set num_leaves = 1
set is_leaf = true... | '''
CSC263 Winter 2019
Problem Set 2, Question 3 Starter Code
University of Toronto Mississauga
'''
# Do NOT add any "import" statements
class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
self.height = 1
self.balance_factor = 0
self.num_leaves = 1
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
comment 解决中文乱码问题
set rcParams at string font.sans-serif = string SimHei
set df_train = read csv string "D:\Software\Ubuntu\ubuntu_share\Experiment4\train_format1.csv"
set df_test = read csv string "D:\Software\Ubuntu\ubuntu_share\Experiment4\test_fo... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams["font.sans-serif"] = "SimHei" #解决中文乱码问题
df_train = pd.read_csv(r'"D:\Software\Ubuntu\ubuntu_share\Experiment4\train_format1.csv"')
df_test = pd.read_csv(r'"D:\Software\Ubuntu\ubuntu_share\Experiment4\test_format1.csv"')
user_info = pd.... | Python | zaydzuhri_stack_edu_python |
comment converts
set filesize = 1024 * 2 ^ 10 * 8
set bandwith = 1 * 2 ^ 20 | #converts
filesize = 1024 * (2** 10 *8)
bandwith = 1 *(2 ** 20)
| Python | zaydzuhri_stack_edu_python |
import math , collections , sys
set input = readline
comment def check(a, val, finalRange):
comment valrange = [0, 10**9]
comment r = [0, 10**9]
comment for i in range(1, len(a)):
comment if a[i]!=-1 and a[i-1]!=-1:
comment if abs(a[i]-a[i-1]) > val:
comment return False
comment if a[i] == -1:
comment r = [max(a[i-1] -... | import math, collections, sys
input = sys.stdin.readline
# def check(a, val, finalRange):
# valrange = [0, 10**9]
# r = [0, 10**9]
# for i in range(1, len(a)):
# if a[i]!=-1 and a[i-1]!=-1:
# if abs(a[i]-a[i-1]) > val:
# return False
# if a[i] == -1:
# ... | Python | zaydzuhri_stack_edu_python |
function has self obsclass
begin
return call __contains__ obsclass
end function | def has(self, obsclass):
return dict(self.__obsinfo).__contains__(obsclass) | Python | nomic_cornstack_python_v1 |
function update_client_url self
begin
set client = call authenticated_client_from_request _db
if is instance client ProblemDetail
begin
return client
end
set url = get args string client_url
if not url
begin
return call detailed string No 'client_url' provided
end
set url = call normalize_url unquote url
return call ma... | def update_client_url(self):
client = authenticated_client_from_request(self._db)
if isinstance(client, ProblemDetail):
return client
url = request.args.get('client_url')
if not url:
return INVALID_INPUT.detailed("No 'client_url' provided")
client.url = ... | Python | nomic_cornstack_python_v1 |
function make_workers_cfg trgt
begin
make directories join path string build string cfgworkers
call cp string cfg/base.json join path string build string cfgworkers string base.json
set template = read open join path string cfg string workers.json
for worker in WORKERS_SRC
begin
set tuple path name = split path worker
... | def make_workers_cfg(trgt):
trgt.makedirs(os.path.join('build', 'cfgworkers'))
trgt.cp('cfg/base.json',os.path.join('build','cfgworkers','base.json'))
template = open(os.path.join('cfg','workers.json')).read()
for worker in WORKERS_SRC:
(path, name) = os.path.split(worker)
idf = name.re... | Python | nomic_cornstack_python_v1 |
function post self
begin
set result = dict string status string error
set j = call get_json
set seed_text = j at string seed_text
set gen_chars = if expression string chars in j then j at string chars else DEFAULT_CHARS
set generated_text = predict model_wrapper seed_text gen_chars
set full_text = seed_text + generated... | def post(self):
result = {'status': 'error'}
j = request.get_json()
seed_text = j['seed_text']
gen_chars = j['chars'] if 'chars' in j else DEFAULT_CHARS
generated_text = self.model_wrapper.predict(seed_text, gen_chars)
full_text = seed_text + generated_text
model... | Python | nomic_cornstack_python_v1 |
from django.core.urlresolvers import reverse
from django.test import TestCase
from ticket.models import Ticket
from rest_framework import status
from rest_framework.test import APITestCase
comment Create your tests here.
function createTicket client
begin
set url = reverse string ticket-list
set data = dict string requ... | from django.core.urlresolvers import reverse
from django.test import TestCase
from ticket.models import Ticket
from rest_framework import status
from rest_framework.test import APITestCase
# Create your tests here.
def createTicket(client):
url = reverse('ticket-list')
data = {'request': 'wat'}
return clie... | Python | zaydzuhri_stack_edu_python |
function age self
begin
set tdelta = now - created_timestamp
comment enough to round it up to 2 years
if days >= 548
begin
return string about { days / 365 } years
end
else
comment enough to round it up to 1 year (so it doesn't report '12 months')
if days >= 345
begin
return string about a year
end
else
comment beyond ... | def age(self) -> str:
tdelta = dt.now() - self.created_timestamp
if tdelta.days >= 548: # enough to round it up to 2 years
return f'about {tdelta.days/365:.0f} years'
elif tdelta.days >= 345: # enough to round it up to 1 year (so it doesn't report '12 months')
return f'... | Python | nomic_cornstack_python_v1 |
function unsetName self
begin
return call Port_unsetName self
end function | def unsetName(self):
return _libsbml.Port_unsetName(self) | Python | nomic_cornstack_python_v1 |
comment Menampilkan nilai rata rata dari 2 nilai terbesar pada list
set x = list input
set n = length x
function rata2maks x
begin
if x at 0 > x at 1
begin
set maks1 = x at 0
end
else
begin
set maks1 = x at 1
end
for i in range 2 n
begin
if x at i > maks1
begin
set maks2 = maks1
set maks1 = x at i
end
else
if x at i > ... | #Menampilkan nilai rata rata dari 2 nilai terbesar pada list
x = list(input())
n = len(x)
def rata2maks(x):
if x[0] > x[1]:
maks1 = x[0]
else:
maks1 = x[1]
for i in range(2, n):
if x[i] > maks1:
maks2 = maks1
maks1 = x[i]
elif x[i] > ma... | Python | zaydzuhri_stack_edu_python |
comment USING THE VARIABLE PARAMETER FUNCTIONS, WE ACHIEVE 'OVERLOADING'
comment Define a function with default parameters this returns nothing (None)
function print_seperator char=string - repeat_count=40
begin
print char * repeat_count
end function
function get_len s
begin
return length s
end function
function func_w... | # USING THE VARIABLE PARAMETER FUNCTIONS, WE ACHIEVE 'OVERLOADING'
#Define a function with default parameters this returns nothing (None)
def print_seperator(char = '-', repeat_count = 40) :
print(char*repeat_count)
def get_len(s):
return len(s)
def func_with_one_default_parameter(first, second = "Second") :... | Python | zaydzuhri_stack_edu_python |
comment APP LEVEL ###############
from django.shortcuts import render , HttpResponse , redirect
from models import Roster , User
function index request
begin
set context = dict string rosters all
return call render request string roster_user_app/index.html context
end function
function users_page request
begin
set cont... | ############ APP LEVEL ###############
from django.shortcuts import render, HttpResponse, redirect
from .models import Roster, User
def index(request):
context = {
"rosters": Roster.objects.all(),
}
return render(request, "roster_user_app/index.html", context)
def users_page(request):
context... | Python | zaydzuhri_stack_edu_python |
string 给定两个二叉树，想象当你将它们中的一个覆盖到另一个上时，两个二叉树的一些节点便会重叠。 你需要将他们合并为一个新的二叉树。合并的规则是如果两个节点重叠，那么将他们的值相加作为节点合并后的新值，否则不为NULL 的节点将直接作为新二叉树的节点。 示例1: 输入: Tree 1 Tree 2 1 2 / \ / 3 2 1 3 / \ 5 4 7 输出: 合并后的树: 3 / 4 5 / \ 5 4 7
comment Definition for a binary tree node.
comment class TreeNode:
comment def __init__(self, val=0, left=None,... | """
给定两个二叉树，想象当你将它们中的一个覆盖到另一个上时，两个二叉树的一些节点便会重叠。
你需要将他们合并为一个新的二叉树。合并的规则是如果两个节点重叠，那么将他们的值相加作为节点合并后的新值，否则不为NULL 的节点将直接作为新二叉树的节点。
示例1:
输入:
Tree 1 Tree 2
1 2
/ \ / \
3 2 1 3
/ ... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Thu Apr 16 10:30:38 2020 @author: Rashmi
import os
import pandas as pd
import numpy as np
comment import h5py
comment TODO: see if this file is needed
from sklearn.preprocessing import OneHotEncoder , MinMaxScaler
from sklearn.utils import shuffle
function get_service_lis... | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 16 10:30:38 2020
@author: Rashmi
"""
import os
import pandas as pd
import numpy as np
#import h5py
#TODO: see if this file is needed
from sklearn.preprocessing import OneHotEncoder, MinMaxScaler
from sklearn.utils import shuffle
def get_service_list(dirname = 'list', f... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment Decrypt a single yaml variable fragment with ansible-vault.
from ansible.parsing.dataloader import DataLoader
from ansible.parsing.vault import ScriptVaultSecret
from ansible.parsing.vault import VaultLib
import sys
import os
import yaml
set password_script_path = get current direct... | #!/usr/bin/env python
# Decrypt a single yaml variable fragment with ansible-vault.
from ansible.parsing.dataloader import DataLoader
from ansible.parsing.vault import ScriptVaultSecret
from ansible.parsing.vault import VaultLib
import sys
import os
import yaml
password_script_path = os.getcwd() + '/scripts/password... | Python | zaydzuhri_stack_edu_python |
function main argv
begin
comment Setup Directory
set experiment_dir = join path dir id
if not exists path experiment_dir
begin
make directories join path experiment_dir string logs exist_ok=true
end
comment Setup Logging
set alsologtostderr = true
call use_absl_log_file logfile join path experiment_dir string logs
comm... | def main(argv):
# Setup Directory
experiment_dir = os.path.join(FLAGS.dir, FLAGS.id)
if not os.path.exists(experiment_dir):
os.makedirs(os.path.join(experiment_dir, "logs"), exist_ok=True)
# Setup Logging
FLAGS.alsologtostderr = True
logging.get_absl_handler().use_absl_log_fil... | Python | nomic_cornstack_python_v1 |
function timer func
begin
decorator wraps func
function wrapper_timer *args **kwargs
begin
set start_time = performance counter
set value = call func *args keyword kwargs
set end_time = performance counter
set run_time = end_time - start_time
print string Finished { __name__ } in { run_time } secs
return value
end func... | def timer(func):
@functools.wraps(func)
def wrapper_timer(*args, **kwargs):
start_time = time.perf_counter()
value = func(*args, **kwargs)
end_time = time.perf_counter()
run_time = end_time - start_time
print(f"Finished {func.__name__!r} in {run_time:.4f} secs")
... | Python | nomic_cornstack_python_v1 |
import threading , os
from Getch import Getch
from ECAPServer import ECAPServer
set ecapServer = call ECAPServer 6060
set connectionsThread = thread target=acceptConnections
start connectionsThread
print string ECAP Python Server Started.
print string Please start typing or hit ESC to exit.
set getch = call Getch
while... | import threading, os
from Getch import Getch
from ECAPServer import ECAPServer
ecapServer = ECAPServer(6060)
connectionsThread = threading.Thread(target = ecapServer.acceptConnections)
connectionsThread.start()
print('ECAP Python Server Started.\r\n')
print('Please start typing or hit ESC to exit.')
getch = Getch(... | Python | zaydzuhri_stack_edu_python |
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