code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function flatten_list a result=none
begin
comment Flattens a nested list.
comment flatten_list([ [1, 2, [3, 4] ], [5, 6], 7])
comment [1, 2, 3, 4, 5, 6, 7]
if result is none
begin
set result = list
end
for x in a
begin
if is instance x list
begin
call flatten_list x result
end
else
begin
append result x
end
end
return... | def flatten_list(a,result=None):
# Flattens a nested list.
# flatten_list([ [1, 2, [3, 4] ], [5, 6], 7])
# [1, 2, 3, 4, 5, 6, 7]
if result is None:
result=[]
for x in a:
if isinstance(x,list):
flatten_list(x,result)
else:
result.append(x)
ret... | Python | zaydzuhri_stack_edu_python |
function get_slots self tag
begin
assert tag in list string ADJ string NP
return slots at tag
end function | def get_slots(self, tag):
assert tag in ["ADJ", "NP"]
return self.slots[tag] | Python | nomic_cornstack_python_v1 |
function create_time self create_time
begin
set _create_time = create_time
end function | def create_time(self, create_time):
self._create_time = create_time | Python | nomic_cornstack_python_v1 |
class User extends object
begin
function __init__ self name email
begin
set name = name
set email = email
set books = dict
end function
end class | class User(object):
def __init__(self, name, email):
self.name = name
self.email = email
self.books = {}
| Python | zaydzuhri_stack_edu_python |
function add_position_recur lst number_from=0
begin
comment base case empty list returns the empty list
if lst == list
begin
return list
end
else
begin
set initial_value = lst at 0
return list initial_value + number_from + call add_position_recur lst at slice 1 : : number_from + 1
end
end function | def add_position_recur(lst, number_from=0):
# base case empty list returns the empty list
if lst == []:
return []
else:
initial_value = lst[0]
return [initial_value + number_from] + \
add_position_recur(lst[1:], number_from + 1) | Python | nomic_cornstack_python_v1 |
comment http://www.ricardonarvaja.info/WEB/EXPLOITING/Nivel%20Basico/013%20stack10.idb/
import struct
import subprocess
set argv1 = string A
set argv2 = string I
comment 49 bytes de basura
set buf = string I * 49
comment Redirijo eax hacia 0x10101010 que se encuentra en el address space y contiene "\x55\x8b" ebp
set va... | # http://www.ricardonarvaja.info/WEB/EXPLOITING/Nivel%20Basico/013%20stack10.idb/
import struct
import subprocess
argv1 = "A"
argv2 = "I"
buf = "\x49" * 49 #49 bytes de basura
var_8 = struct.pack("<I", 0x10101010) #Redirijo eax hacia 0x10101010 que se encuentra en el address space y contiene "\x55\x8b" ebp
var_4 = "Y... | Python | zaydzuhri_stack_edu_python |
comment Plotting Script for February 19th Data
comment Steven Large
comment February 22nd 2017
import matplotlib.pyplot as plt
function PlotAllK1
begin
set filename1 = string WorkTotal_25_k1.dat
set filename2 = string WorkTotal_50_k1.dat
set filename3 = string WorkTotal_75_k1.dat
set filename4 = string WorkTotal_90_k1.... | #Plotting Script for February 19th Data
#
#Steven Large
#February 22nd 2017
import matplotlib.pyplot as plt
def PlotAllK1():
filename1 = 'WorkTotal_25_k1.dat'
filename2 = 'WorkTotal_50_k1.dat'
filename3 = 'WorkTotal_75_k1.dat'
filename4 = 'WorkTotal_90_k1.dat'
filename5 = 'WorkTotal_95_k1.dat'
filename6 = 'Wor... | Python | zaydzuhri_stack_edu_python |
function read_opensubs_data dirname max_len=20 fast_preprocessing=true
begin
set dataset = call OpenSubsData dirname
set conversations = call get_conversations
return call split_conversations conversations max_len=max_len fast_preprocessing=fast_preprocessing
end function | def read_opensubs_data(dirname, max_len=20, fast_preprocessing=True):
dataset = OpenSubsData(dirname)
conversations = dataset.get_conversations()
return split_conversations(conversations, max_len=max_len, fast_preprocessing=fast_preprocessing) | Python | nomic_cornstack_python_v1 |
function register name factory
begin
set _formatters at name = factory
end function | def register(name: str, factory: Callable[[str], Formatter]) -> None:
_formatters[name] = factory | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment Tests for the ReplayDB that will help us connect and test the DB -> DRL connection
import time
import unittest
import logging
from ascar import IntfDaemon
from ascar import MonitorAgent
from ascar import ControlAgent
from ascar import ReplayDB
from ascar import PythonQLearning
from ... | #!/usr/bin/env python
#Tests for the ReplayDB that will help us connect and test the DB -> DRL connection
import time
import unittest
import logging
from ascar import IntfDaemon
from ascar import MonitorAgent
from ascar import ControlAgent
from ascar import ReplayDB
from ascar import PythonQLearning
from ascar import... | Python | zaydzuhri_stack_edu_python |
function load_configuration opts
begin
comment Set up a configuration parser with default values
set config = call SafeConfigParser
call add_section string Simulator
set string Simulator string url string http://127.0.0.1:8800
set string Simulator string workload string sawtooth_xo.xo_workload.XoWorkload
set string Sim... | def load_configuration(opts):
# Set up a configuration parser with default values
config = ConfigParser.SafeConfigParser()
config.add_section('Simulator')
config.set('Simulator', 'url', 'http://127.0.0.1:8800')
config.set('Simulator', 'workload', 'sawtooth_xo.xo_workload.XoWorkload')
config.set... | Python | nomic_cornstack_python_v1 |
while true
begin
set nome = input string Coloque o nome:
if nome == string
begin
break
end
set alunos at nome = list integer input string nota 1: integer input string nota 2:
end
set nome = input string Qual o aluno que deseja ver a media?
print sum alunos at nome / length alunos at nome | while True:
nome = input("Coloque o nome:")
if nome == "": break
alunos[nome] = [int(input("nota 1: ")),
int(input("nota 2: "))]
nome = input("Qual o aluno que deseja ver a media?\n")
print(sum(alunos[nome])/len(alunos[nome]))
| Python | zaydzuhri_stack_edu_python |
class Solution
begin
comment @param num, a list of integer
comment @return an integer
function maximumGap self num
begin
if length num < 2
begin
return 0
end
set num = call radixSort num
set res = 0
for i in range 1 length num
begin
set res = max num at i - num at i - 1 res
end
return res
end function
function radixSor... | class Solution:
# @param num, a list of integer
# @return an integer
def maximumGap(self, num):
if len(num) < 2:
return 0
num = self.radixSort(num)
res = 0
for i in range(1, len(num)):
res = max(num[i] - num[i - 1], res)
return res
def rad... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment vim: set ts=2 sw=2 expandtab:
from optparse import OptionParser
import sys
import types
import game
import shape
function main
begin
set parser = call OptionParser
call add_option string -U string --username dest=string username help=string username of login
call add_option string -... | #!/usr/bin/env python
# vim: set ts=2 sw=2 expandtab:
from optparse import OptionParser
import sys
import types
import game
import shape
def main():
parser = OptionParser()
parser.add_option("-U", "--username", dest="username",
help="username of login")
parser.add_option("-P", "--password",... | Python | zaydzuhri_stack_edu_python |
function cast obj
begin
return call itkNotImageFilterISS2ISS2_cast obj
end function | def cast(obj: 'itkLightObject') -> "itkNotImageFilterISS2ISS2 *":
return _itkNotImageFilterPython.itkNotImageFilterISS2ISS2_cast(obj) | Python | nomic_cornstack_python_v1 |
while active
begin
set name = input string Please tell me your name.
if name == string stop
begin
set active = false
end
else
begin
print string Hello, + name + string !
with open file_name string a as file_object
begin
write file_object name + string
end
end
end | while active:
name = input("Please tell me your name.")
if name == 'stop':
active = False
else:
print("Hello, " + name + "!\n")
with open(file_name, 'a') as file_object:
file_object.write(name + "\n") | Python | zaydzuhri_stack_edu_python |
from collections import defaultdict
class Solution extends object
begin
function tallestBillboard self rods
begin
set dp = default dictionary lambda -> 0
set dp at 0 = 0
for i in rods
begin
for tuple key val in items dp
begin
set dp at key + i = max dp at key + i val
set t = absolute key - i
set dp at t = max dp at t ... | from collections import defaultdict
class Solution(object):
def tallestBillboard(self, rods):
dp = defaultdict(lambda: 0)
dp[0] = 0
for i in rods:
for key, val in dp.items():
dp[key+i] = max(dp[key+i], val)
t = abs(key-i)
dp[t] = ... | Python | zaydzuhri_stack_edu_python |
function convert_bam_to_df data_fp
begin
set als = list
with call AlignmentFile data_fp ignore_truncation=true check_sq=false as bam_fh
begin
for al in bam_fh
begin
set tuple cellBC UMI readCount grpFlag = split query_name string _
set seq = query_sequence
set qual = query_qualities
set encode_qual = call array_to_qua... | def convert_bam_to_df(data_fp: str) -> pd.DataFrame:
als = []
with pysam.AlignmentFile(
data_fp, ignore_truncation=True, check_sq=False
) as bam_fh:
for al in bam_fh:
cellBC, UMI, readCount, grpFlag = al.query_name.split("_")
seq = al.query_sequence
qual =... | Python | nomic_cornstack_python_v1 |
function __init__ self m g l
begin
call __init__ self
call __init__ self n=2 m=1
set tuple m g l = tuple m g l
end function | def __init__(self, m, g, l):
AffineDynamics.__init__(self)
SystemDynamics.__init__(self,n=2,m=1)
self.m, self.g, self.l = m, g, l | Python | nomic_cornstack_python_v1 |
import os
import json
import numpy as np
from PIL import Image
from typing import Callable
import torch
from torch.utils.data import Dataset
function get_iCLEVR_data root_folder mode
begin
with open join path root_folder string { mode } .json string r as json_file
begin
set data = load json json_file
end
with open join... | import os
import json
import numpy as np
from PIL import Image
from typing import Callable
import torch
from torch.utils.data import Dataset
def get_iCLEVR_data(root_folder, mode):
with open(os.path.join(root_folder, f'{mode}.json'), 'r') as json_file:
data = json.load(json_file)
with open(os.path.jo... | Python | zaydzuhri_stack_edu_python |
from math import sqrt
set prime = list true * 100001
set prime at 0 = false
set prime at 1 = false
for i in range 2 1001
begin
if prime at i
begin
for p in range i * i 100001 i
begin
set prime at p = false
end
end
end
set tt = integer input
for _ in range tt
begin
set inp = list comprehension integer s for s in split i... | from math import sqrt
prime = [True]*100001
prime[0] = False
prime[1] = False
for i in range(2,1001):
if prime[i]:
for p in range(i*i, 100001, i):
prime[p] = False
tt = int(input())
for _ in range(tt):
inp = [int(s) for s in input().split()]
ans = 0
for i in range(inp[0], inp[1]+1)... | Python | zaydzuhri_stack_edu_python |
function export_type_to_library self lib name type_obj
begin
set _name = none
if name is not none
begin
set _name = call QualifiedName name
end
if not is instance lib TypeLibrary
begin
raise call TypeError string lib must be a TypeLibrary object
end
if is instance type_obj str
begin
set tuple type_obj new_name = call p... | def export_type_to_library(self, lib: typelibrary.TypeLibrary, name: Optional[str], type_obj: StringOrType) -> None:
_name = None
if name is not None:
_name = _types.QualifiedName(name)
if not isinstance(lib, typelibrary.TypeLibrary):
raise TypeError("lib must be a TypeLibrary object")
if isinstance(type_... | Python | nomic_cornstack_python_v1 |
import math
function fuel_needed x
begin
return x // 3 - 2
end function
function total_fuel x
begin
set fuel_sum = 0
set curr = call fuel_needed x
while curr > 0
begin
set fuel_sum = fuel_sum + curr
set curr = call fuel_needed x
end
return fuel_sum
end function
if __name__ == string __main__
begin
with open string ../i... | import math
def fuel_needed(x):
return (x // 3) - 2
def total_fuel(x):
fuel_sum = 0
curr = fuel_needed(x)
while curr > 0:
fuel_sum += curr
curr = fuel_needed(x)
return fuel_sum
if __name__ == "__main__":
with open("../input/01-1.txt") as f:
answer1 = sum(map(transforma... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import subprocess
import sys
import time
import measure
comment ./multiMeasure.py <measurementCount> <outputDirectory> <commands to run one measurement...>
function main
begin
set mCount = integer argv at 1
set outDir = argv at 2
set mCommands = argv at slice 3 : :
end function | #!/usr/bin/env python
import subprocess
import sys
import time
import measure
# ./multiMeasure.py <measurementCount> <outputDirectory> <commands to run one measurement...>
def main():
mCount = int(sys.argv[1])
outDir = sys.argv[2]
mCommands = sys.argv[3:]
| Python | zaydzuhri_stack_edu_python |
string MPI allreduce computation, with Horovod. Execution: $ horovodrun -np 10 -H localhost:10 python ../mpi/ex_allreduce.py
comment import horovod.keras as hvd
import horovod.tensorflow.keras as hvd
import numpy as np
call init
set world = size hvd
set rank = integer call rank
set D = 100
assert D % world == 0 msg str... | """
MPI allreduce computation, with Horovod.
Execution:
$ horovodrun -np 10 -H localhost:10 python ../mpi/ex_allreduce.py
"""
# import horovod.keras as hvd
import horovod.tensorflow.keras as hvd
import numpy as np
hvd.init()
world = hvd.size()
rank = int(hvd.rank())
D = 100
assert D % world == 0, "world size shoul... | Python | zaydzuhri_stack_edu_python |
function on_change original_function
begin
decorator wraps original_function
function decorated *args **kwargs
begin
string Just run the event.
return call original_function *args keyword kwargs
end function
set attribute decorated string _on_change_event true
return decorated
end function | def on_change(original_function):
@wraps(original_function)
def decorated(*args, **kwargs):
"""Just run the event."""
return original_function(*args, **kwargs)
setattr(decorated, "_on_change_event", True)
return decorated | Python | nomic_cornstack_python_v1 |
from django.db import models
from django.utils import timezone
comment Create your models here.
class Habit extends Model
begin
set name = call CharField max_length=50
set date_added = call DateField default=now
set is_important = call BooleanField default=false
function __str__ self
begin
return name
end function
end ... | from django.db import models
from django.utils import timezone
# Create your models here.
class Habit(models.Model):
name = models.CharField(max_length=50)
date_added = models.DateField(default=timezone.now)
is_important = models.BooleanField(default=False)
def __str__(self):
return self.name... | Python | zaydzuhri_stack_edu_python |
function _get_mpls_label self
begin
return __mpls_label
end function | def _get_mpls_label(self):
return self.__mpls_label | Python | nomic_cornstack_python_v1 |
function read_numeric
begin
try
begin
comment read for Python 2.x
return decimal call raw_input
end
except NameError
begin
comment read for Python 3.x
return decimal input
end
end function
set entrada = call read_numeric
if entrada >= 0 and entrada <= 25
begin
print string Intervalo [0,25]
end
else
if entrada > 25 and ... | def read_numeric():
try:
# read for Python 2.x
return float(raw_input())
except NameError:
# read for Python 3.x
return float(input())
entrada = read_numeric()
if entrada >= 0 and entrada <= 25:
print("Intervalo [0,25]")
elif entrada > 25 and entrada <= 50:
print("Intervalo (25,50]")
elif entr... | Python | zaydzuhri_stack_edu_python |
comment Input is a newline-separated list of ZIP codes
comment Prints a list of ZIP codes and their miidpoint lat / long to stdout
import requests
import argparse
set GEOCODE_URL = string https://maps.googleapis.com/maps/api/geocode/json?address=USA+06512&key=AIzaSyAisfdc4BXXv8fzte0VpptDSdqHvLybpzg
function get_cli_arg... | # Input is a newline-separated list of ZIP codes
# Prints a list of ZIP codes and their miidpoint lat / long to stdout
import requests
import argparse
GEOCODE_URL = 'https://maps.googleapis.com/maps/api/geocode/json?address=USA+06512&key=AIzaSyAisfdc4BXXv8fzte0VpptDSdqHvLybpzg'
def get_cli_args():
parser = argpa... | Python | zaydzuhri_stack_edu_python |
function train self corpus
begin
comment TODO: Train on each word
pass
end function | def train(self, corpus):
# TODO: Train on each word
pass | Python | nomic_cornstack_python_v1 |
function f n s
begin
global li
while true
begin
if li at n != s
begin
pop li n
end
else
begin
break
end
end
end function
try
begin
f dist 0 string h
f dist 1 string e
f dist 2 string i
f dist 3 string d
f dist 4 string i
end
except any
begin
print string NO
end
try else
begin
print string YES
end | def f(n,s):
global li
while True:
if li[n] != s:
li.pop(n)
else:
break
try:
f(0,'h')
f(1,'e')
f(2,'i')
f(3,'d')
f(4,'i')
except:
print("NO")
else:
print("YES") | Python | jtatman_500k |
function portals_id_image_folders_rel_fk_delete_with_http_info self id fk **kwargs
begin
set all_params = list string id string fk
append all_params string callback
append all_params string _return_http_data_only
set params = locals
for tuple key val in call iteritems params at string kwargs
begin
if key not in all_par... | def portals_id_image_folders_rel_fk_delete_with_http_info(self, id, fk, **kwargs):
all_params = ['id', 'fk']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_pa... | Python | nomic_cornstack_python_v1 |
function _from self _from
begin
set __from = _from
end function | def _from(self, _from):
self.__from = _from | Python | nomic_cornstack_python_v1 |
function test_user_data2 self
begin
set response_payload = dict string login string agrawalo
set fake_session = call MagicMock
set fake_response = return_value
comment attribute error -- why OP want to mock get_json(), from where?
set return_value = response_payload
set ud = call get_user_data string agrawalo fake_sess... | def test_user_data2(self):
response_payload = {"login": "agrawalo"}
fake_session = mock.MagicMock()
fake_response = fake_session.get.return_value
# attribute error -- why OP want to mock get_json(), from where?
fake_response.get_json.return_value = response_payload
ud = g... | Python | nomic_cornstack_python_v1 |
comment Calculate the sum of two integers a and b, but you are not allowed to use the operator + and -.
comment Example:
comment Given a = 1 and b = 2, return 3.
comment Credits:
comment Special thanks to @fujiaozhu for adding this problem and creating all test cases.
class Solution
begin
comment 下面两种方案 都是 时间超限 ， java ... | # Calculate the sum of two integers a and b, but you are not allowed to use the operator + and -.
# Example:
# Given a = 1 and b = 2, return 3.
# Credits:
# Special thanks to @fujiaozhu for adding this problem and creating all test cases.
class Solution:
# 下面两种方案 都是 时间超限 ， java 可以 原因不明很可能是 Python 的内部原因
# def ge... | Python | zaydzuhri_stack_edu_python |
function format_data PATH download=false
begin
comment iterate over files in directory
for file_name in list directory PATH
begin
comment skip .DS_Store and other hidden files
if file_name at 0 == string .
begin
continue
end
comment open each JSON file
with open PATH + string / + file_name as json_file
begin
set data =... | def format_data(PATH, download=False):
# iterate over files in directory
for file_name in listdir(PATH):
if file_name[0] == '.': # skip .DS_Store and other hidden files
continue
# open each JSON file
with open(PATH+'/'+file_name) as json_file:
data = json.load(js... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sat Jun 1 11:31:38 2019 @author: George
import numpy as np
import matplotlib.pyplot as plt
from sklearn import cluster , datasets , mixture
from sklearn.neighbors import kneighbors_graph
from itertools import cycle , islice
from sklearn.preprocessing import StandardScaler... | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 1 11:31:38 2019
@author: George
"""
import numpy as np
import matplotlib.pyplot as plt
from sklearn import cluster, datasets, mixture
from sklearn.neighbors import kneighbors_graph
from itertools import cycle, islice
from sklearn.preprocessing import StandardScaler
fro... | Python | zaydzuhri_stack_edu_python |
function fibonacci n
begin
set a = 0
set b = 1
if n < 0
begin
print string Incorrect input
end
else
if n == 0
begin
return a
end
else
if n == 1
begin
return b
end
else
begin
for i in range 2 n
begin
set c = a + b
set a = b
set b = c
end
return b
end
end function | def fibonacci(n):
a = 0
b = 1
if n < 0:
print("Incorrect input")
elif n == 0:
return a
elif n == 1:
return b
else:
for i in range(2,n):
c = a + b
a = b
b = c
return b | Python | iamtarun_python_18k_alpaca |
function tensorflow_version self
begin
return get pulumi self string tensorflow_version
end function | def tensorflow_version(self) -> pulumi.Output[str]:
return pulumi.get(self, "tensorflow_version") | Python | nomic_cornstack_python_v1 |
comment Create tests for functions/classes in firmware.py
comment Run this file with "pytest tests.py -v"
import unittest
import firmware
class FirmwareTest extends TestCase
begin
function setUp self
begin
pass
end function
function tearDown self
begin
pass
end function
function test_add_integers self
begin
assert equa... | #
# Create tests for functions/classes in firmware.py
# Run this file with "pytest tests.py -v"
#
import unittest
import firmware
class FirmwareTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_add_integers(self):
self.assertEqual(5 + 5, 10)... | Python | zaydzuhri_stack_edu_python |
function disable_table self name
begin
raise call NotImplementedError string The Cloud Bigtable API has no concept of enabled or disabled tables.
end function | def disable_table(self, name):
raise NotImplementedError('The Cloud Bigtable API has no concept of '
'enabled or disabled tables.') | Python | nomic_cornstack_python_v1 |
function _get_all_wgraphs self nvertices nloops nhairs nws
begin
comment Idea: just take the wgraphs produced above, and attach an extra hair and or an eps tadpole
for G in call _get_pre_wgraphs_wk_memo nvertices nloops nhairs nws
begin
yield G
end
for G in call _get_pre_wgraphs_wk_memo nvertices nloops nhairs - 1 nws
... | def _get_all_wgraphs(self, nvertices, nloops, nhairs, nws):
# Idea: just take the wgraphs produced above, and attach an extra hair and or an eps tadpole
for G in self._get_pre_wgraphs_wk_memo(nvertices, nloops, nhairs, nws):
yield G
for G in self._get_pre_wgraphs_wk_memo(nvertices, n... | Python | nomic_cornstack_python_v1 |
function gen_input_ix self _exprs index
begin
set _expr = _exprs at index
set ent_vec = call expr_to_vec _expr
return call vec_to_ix ent_vec
end function | def gen_input_ix(self, _exprs, index):
_expr = _exprs[index]
ent_vec = self.expr_to_vec(_expr)
return self.vec_to_ix(ent_vec) | Python | nomic_cornstack_python_v1 |
string for each number i in n, we put it as the root node and count all the possibilities G(3) (1,3) + (2,3) + (3,3) G(0)*G(2) G(1)*G(1) G(2)*G(0)
class Solution
begin
function numTrees self n
begin
set G = call fromkeys range n + 1 0
set G at 0 = 1
set G at 1 = 1
for i in range 2 n + 1
begin
for j in range 1 i + 1
beg... | '''
for each number i in n, we put it as the root node
and count all the possibilities
G(3)
(1,3) + (2,3) + (3,3)
G(0)*G(2) G(1)*G(1) G(2)*G(0)
'''
class Solution:
def numTrees(self, n) -> int:
G = dict.fromkeys(range(n+1),0)
G[0] = G[1] = 1
for i in r... | Python | zaydzuhri_stack_edu_python |
function draw self
begin
string 使用draw方法将图形绘制在窗口里
call update_all
call draw gl
call glLoadIdentity
end function | def draw(self):
""" 使用draw方法将图形绘制在窗口里 """
self.update_all()
self.vertex_list.draw(self.gl)
pyglet.gl.glLoadIdentity() | Python | jtatman_500k |
class Solution extends object
begin
function firstMissingPositive self nums
begin
string :type nums: List[int] :rtype: int
set length = length nums
for i in range length
begin
if nums at i <= 0
begin
set nums at i = length + 1
end
end
for i in range length
begin
if absolute nums at i <= length
begin
set curr = absolute... | class Solution(object):
def firstMissingPositive(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
length = len(nums)
for i in range(length):
if nums[i] <= 0:
nums[i] = length + 1
for i in range(length):
if abs(num... | Python | zaydzuhri_stack_edu_python |
from app import db
set metadata = call MetaData
comment =========================================================================================================
comment таблица, описывающая сущность КВАРТИРА
class Flat extends Model
begin
comment query = db.session.query_property()
set __tablename__ = string flat
comm... | from app import db
metadata = db.MetaData()
#=========================================================================================================
#таблица, описывающая сущность КВАРТИРА
class Flat(db.Model):
# query = db.session.query_property()
__tablename__ = 'flat'
id = db.Column(db.Integer, prima... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
comment Define the hyperparameters to optimize
set param_grid = dict string n_estimators array range 2 30 2 ; string max_depth array range 2 12 2 ; string min_samples_leaf array range 1 10 2
comment C... | import numpy as np
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
# Define the hyperparameters to optimize
param_grid={
'n_estimators': np.arange(2, 30, 2),
'max_depth': np.arange(2, 12, 2),
'min_samples_leaf': np.arange(1, 10, 2)
}
# Create GridSearchCV m... | Python | jtatman_500k |
class Score
begin
function __init__ self
begin
set score = string 0
end function
function plusFiveScore self
begin
set score = eval score + string 5
return string score
end function
function plusTenScore self
begin
set score = eval score + string 10
return string score
end function
function minusFiveScore self
begin
se... | class Score:
def __init__(self):
self.score = "0"
def plusFiveScore(self):
self.score = eval(self.score + "5")
return str(self.score)
def plusTenScore(self):
self.score = eval(self.score + "10")
return str(self.score)
def minusFiveScore(self):
self.scor... | Python | zaydzuhri_stack_edu_python |
import random
import stdarray
import stdio
import sys
set moves = integer argv at 1
set n = call readInt
call readInt
set p = call create2D n n 0.0
for i in range n
begin
for j in range n
begin
set p at i at j = call readFloat
end
end
set hits = call create1D n 0
set page = 0
for i in range moves
begin
set r = random
s... | import random
import stdarray
import stdio
import sys
moves=int(sys.argv[1])
n=stdio.readInt()
stdio.readInt()
p=stdarray.create2D(n,n,0.0)
for i in range(n):
for j in range(n):
p[i][j]=stdio.readFloat()
hits=stdarray.create1D(n,0)
page=0
for i in range(moves):
r=random.random()
total=0.0
for j in range(0,n):
... | Python | zaydzuhri_stack_edu_python |
import pytorch_lightning as pl
import pandas as pd
from sklearn.model_selection import train_test_split
from torch.utils.data import DataLoader
import torch
import torchvision
import os
from pathlib import Path
class Dataset extends Dataset
begin
function __init__ self path imgs labels trans=none
begin
set path = path
... | import pytorch_lightning as pl
import pandas as pd
from sklearn.model_selection import train_test_split
from torch.utils.data import DataLoader
import torch
import torchvision
import os
from pathlib import Path
class Dataset(torch.utils.data.Dataset):
def __init__(self, path, imgs, labels, trans = None... | Python | zaydzuhri_stack_edu_python |
function skip_plaintext_padding plaintext_padding
begin
global intermediate_string
global modified_blocks
global plaintext_string
global current_padding
set cur_block_index = length BLOCKS - ARRAY_INDEX - 1
set new_padding = plaintext_padding + 1
set new_padding_chars = character ordinal intermediate_string ? new_paddi... | def skip_plaintext_padding(plaintext_padding):
global intermediate_string
global modified_blocks
global plaintext_string
global current_padding
cur_block_index = (len(BLOCKS) - ARRAY_INDEX) - 1
new_padding = plaintext_padding + 1
new_padding_chars = chr(ord(intermediate_string) ^ new_padding... | Python | nomic_cornstack_python_v1 |
function findRecontructMatchingRules self nodeId
begin
set tokens = call node nodeId
assert length tokens > 0
if length tokens == 1
begin
return list
end
set nodeTag = call getTagOfNode nodeId
set rc = call Reconstructor ruletable model sense tokens nodeTag
set rules = parse rc
if rules
begin
call recordDependentSites... | def findRecontructMatchingRules(self, nodeId):
tokens = self.tree.node(nodeId)
assert len(tokens) > 0
if len(tokens) == 1:
return []
nodeTag = self.getTagOfNode(nodeId)
rc = Reconstructor(self.ruletable, self.model,
self.sense, tokens, nodeTag)
rules = rc.parse()
... | Python | nomic_cornstack_python_v1 |
function StrLower InputString
begin
pass
end function | def StrLower(InputString) -> str:
pass | Python | nomic_cornstack_python_v1 |
from django.shortcuts import render
from django.http import HttpResponse , HttpResponseRedirect
from django.views import View
from models import Blog
from forms import PostForm
from django.contrib import messages
from django.urls import reverse
from django.core.paginator import Paginator , EmptyPage , PageNotAnInteger
... | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.views import View
from .models import Blog
from .forms import PostForm
from django.contrib import messages
from django.urls import reverse
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
... | Python | zaydzuhri_stack_edu_python |
from hooks import HOOKS , Hook
from utils import build_from_cfg
from priority import Priority , get_priority
class MyRunner extends object
begin
string 1.Runner 对象初始化 2.注册各类 Hook 到 Runner 中 3.调用 Runner 的 resume 或者 load_checkpoint 方法对权重进行加载 4.运行给定的工作流，此时才真正开启了工作流
function __init__ self
begin
pass
set _hooks = list
end ... | from .hooks import HOOKS, Hook
from ..utils import build_from_cfg
from .priority import Priority, get_priority
class MyRunner(object):
'''
1.Runner 对象初始化
2.注册各类 Hook 到 Runner 中
3.调用 Runner 的 resume 或者 load_checkpoint 方法对权重进行加载
4.运行给定的工作流，此时才真正开启了工作流
'''
def __init__(self ):
pass
... | Python | zaydzuhri_stack_edu_python |
import math
import random
from turtle import *
set wesley = call Turtle
set tatem = call Turtle
set olivia = call Turtle
set courtney = call Turtle
set veronica = call Turtle
set liam = call Turtle
set tyler = call Turtle
set emma = call Turtle
call speed 50
call penup
call goto 0 0
call pendown
call setheading 90
call... | import math
import random
from turtle import *
wesley = Turtle()
tatem = Turtle()
olivia = Turtle()
courtney = Turtle()
veronica = Turtle()
liam = Turtle()
tyler = Turtle()
emma = Turtle()
wesley.speed(50)
wesley.penup()
wesley.goto(0,0)
wesley.pendown()
wesley.setheading(90)
wesley.color('blue')
... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
set avgStd = list list list
set avgOur = list list 67857 64202 61656 64463 61698 list 184 184 190 183 185
set avgOld = list list 237392 238268 238268 238817 239878 list 237392 157959 158088 158865 159119 | import matplotlib.pyplot as plt
import numpy as np
avgStd = [ [],
[]
]
avgOur = [ [67857, 64202, 61656, 64463, 61698],
[184, 184, 190, 183, 185]
]
avgOld = [ [237392, 238268, 238268, 238817, 239878],
[237392, 157959, 158088, 158865, 159119]
]
| Python | zaydzuhri_stack_edu_python |
function run self
begin
comment () -> None
for tuple name scenario in items test_scenarios
begin
run name
end
end function | def run(self):
# () -> None
for name, scenario in self.test_scenarios.items():
scenario.run(name) | Python | nomic_cornstack_python_v1 |
function get_video_links_from_youtube_api key service=string youtube version=string v3
begin
set youtube = call build service version developerKey=YOUTUBE_API_KEY
set request = list part=string snippet type=string video order=string date q=key
set response = execute request
set video_urls = list
for item in response a... | def get_video_links_from_youtube_api(key, service='youtube', version='v3'):
youtube = build(service, version, developerKey=settings.YOUTUBE_API_KEY)
request = youtube.search().list(
part='snippet',
type='video',
order='date',
q=key,
)
response = request.execute()
v... | Python | nomic_cornstack_python_v1 |
function handle_script self http_context
begin
set data = call json_body
try
begin
set p = popen list string bash string -c data at string script stdout=PIPE stderr=PIPE close_fds=true
set tuple o e = communicate p get data string input none
end
except CalledProcessError as e
begin
raise call EndpointError e
end
except... | def handle_script(self, http_context):
data = http_context.json_body()
try:
p = subprocess.Popen(
['bash', '-c', data['script']],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
close_fds=True
)
o, e = p... | Python | nomic_cornstack_python_v1 |
function num_interaction_features self
begin
return __proxy__ at string num_interaction_features
end function | def num_interaction_features(self):
return self.__proxy__['num_interaction_features'] | Python | nomic_cornstack_python_v1 |
comment conunting lines for spliting
with open string trainingData.data string r as file_data
begin
set count = sum generator expression 1 for line in file_data
set part = count / 10
end | #conunting lines for spliting
with open("trainingData.data", 'r') as file_data:
count = sum(1 for line in file_data)
part = count / 10 | Python | zaydzuhri_stack_edu_python |
function test_one_item self
begin
set argument = call is_sorted list 1
set expected = true
assert equal expected argument string The list has one item.
end function | def test_one_item(self):
argument = is_sorted([1])
expected = True
self.assertEqual(expected, argument, "The list has one item.") | Python | nomic_cornstack_python_v1 |
function findFringesInScan self fsu=string FSUB plot=false calibrated=true
begin
set fringes_pos = list
set weight = list
if plot
begin
figure 0
call clf
title plt filename + string | + fsu + string | + insmode
x label string OPD + DLtrack + string (m)
end
for k in range scan_nscans
begin
set x = call getScan k isola... | def findFringesInScan(self, fsu='FSUB', plot=False, calibrated=True):
fringes_pos = []
weight = []
if plot:
plt.figure(0)
plt.clf()
plt.title(self.filename+' | '+fsu+' | '+self.insmode)
plt.xlabel('OPD '+self.DLtrack+' (m)')
for k in rang... | Python | nomic_cornstack_python_v1 |
function iid_sample sample_fn sample_shape
begin
set sample_shape = call expand_to_vector call cast sample_shape int32 tensor_name=string sample_shape
set n = call cast call reduce_prod sample_shape dtype=int32
set static_n = call get_static_value call convert_to_tensor n
function unflatten x
begin
set sample_dims = if... | def iid_sample(sample_fn, sample_shape):
sample_shape = distribution_util.expand_to_vector(
ps.cast(sample_shape, np.int32), tensor_name='sample_shape')
n = ps.cast(ps.reduce_prod(sample_shape), dtype=np.int32)
static_n = tf.get_static_value(tf.convert_to_tensor(n))
def unflatten(x):
sample_dims = 0 ... | Python | nomic_cornstack_python_v1 |
function to_one_hot y n_dims=none
begin
set y_tensor = if expression is instance y Variable then data else y
set y_tensor = view type LongTensor - 1 1
set n_dims = if expression n_dims is not none then n_dims else integer max y_tensor + 1
set y_one_hot = call scatter_ 1 y_tensor 1
set y_one_hot = view y_one_hot *y.shap... | def to_one_hot(y, n_dims=None):
y_tensor = y.data if isinstance(y, Variable) else y
y_tensor = y_tensor.type(torch.LongTensor).view(-1, 1)
n_dims = n_dims if n_dims is not None else int(torch.max(y_tensor)) + 1
y_one_hot = torch.zeros(y_tensor.size()[0], n_dims).scatter_(1, y_tensor, 1)
y_one_hot = ... | Python | nomic_cornstack_python_v1 |
import json
import random
import sys
from math import ceil
from numbers import Number
from tkinter import ALL
from typing import Callable , Dict , Iterable , List , Set , Tuple
from pyparsing import col
set INDENT : str = string * 4
set LONG : int = 20
set ANY_COLOR : str = string !
set ANY_THING : str = string ?
set ... | import json
import random
import sys
from math import ceil
from numbers import Number
from tkinter import ALL
from typing import Callable, Dict, Iterable, List, Set, Tuple
from pyparsing import col
INDENT: str = ' '*4
LONG: int = 20
ANY_COLOR: str = '!'
ANY_THING: str = '?'
UNDECIDED: List[str] = [ANY_THING, ANY_COLO... | Python | zaydzuhri_stack_edu_python |
function filter_test self filt
begin
return dictionary comprehension char : call permits char for char in char_list + classes
end function | def filter_test(self, filt):
return {
char: filt.permits(char) for char in self.char_list + self.classes
} | Python | nomic_cornstack_python_v1 |
import pygame
function duckimage
begin
set duckpic = load image string duckhunt/bird.gif
call scale duckpic tuple 30 30
call blit image tuple 600 600
end function | import pygame
def duckimage():
duckpic = pygame.image.load(r"duckhunt/bird.gif")
pygame.transform.scale(duckpic, (30, 30))
display_surface.blit(image, (600, 600))
| Python | zaydzuhri_stack_edu_python |
function is_tic self
begin
return string I don't know how to find this yet
end function | def is_tic(self):
return "I don't know how to find this yet" | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/env python
import argparse
import re
import sys
set parser = call ArgumentParser description=string Flatten TH2s to TH1s.
call add_argument string inputs metavar=string input nargs=string + help=string The ROOT input file containing histograms
call add_argument string -r string --regex metavar=string... | #! /usr/bin/env python
import argparse
import re
import sys
parser = argparse.ArgumentParser(description='Flatten TH2s to TH1s.')
parser.add_argument('inputs', metavar='input', nargs='+', help='The ROOT input file containing histograms')
parser.add_argument('-r', '--regex', metavar='myHist_.*', nargs='+', help='Rege... | Python | zaydzuhri_stack_edu_python |
from game import GameListener
from OpenGL.GL import *
class GLRenderer extends GameListener
begin
function __init__ self game
begin
set _game = game
call glClearColor 1.0 1.0 1.0 1.0
end function
function update self
begin
pass
end function
function render self
begin
call glClear GL_COLOR_BUFFER_BIT
for tan in _game
be... | from game import GameListener
from OpenGL.GL import *
class GLRenderer(GameListener):
def __init__(self, game):
self._game = game
glClearColor(1.0, 1.0, 1.0, 1.0)
def update(self):
pass
def render(self):
glClear(GL_COLOR_BUFFER_BIT)
for tan in self._game:
if tan.is_selected():
glColor(0.3,... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
comment Author: (c) David Marques, June 1, 2016, Victoria BC, Canada
comment Written for Python 3.4.3
comment Changelog:
comment 2016-09-21: adapted to loop across array of window SFS
import argparse , os
import numpy as np
set parser = call ArgumentParser description=string dxy from two a... | #! /usr/bin/env python
# Author: (c) David Marques, June 1, 2016, Victoria BC, Canada
# Written for Python 3.4.3
# Changelog:
# 2016-09-21: adapted to loop across array of window SFS
import argparse, os
import numpy as np
parser=argparse.ArgumentParser(description='dxy from two angsd .saf.idx files and one bed file ... | Python | zaydzuhri_stack_edu_python |
function unAuthorizedClientCall self
begin
set client = call client string s3 config=call Config signature_version=UNSIGNED
return client
end function | def unAuthorizedClientCall(self):
client = boto3.client("s3", config=botocore.config.Config(signature_version=botocore.UNSIGNED))
return(client) | Python | nomic_cornstack_python_v1 |
import os
from unittest import TestCase
from outline.outline import Outline
from outline.outline_node import OutlineNode
import tests.test_utilities.test_config as tcfg
class TestOutlineNode extends TestCase
begin
set local_path = join path string outline string outline_node
set test_outline = join path input_files_roo... | import os
from unittest import TestCase
from outline.outline import Outline
from outline.outline_node import OutlineNode
import tests.test_utilities.test_config as tcfg
class TestOutlineNode(TestCase):
local_path = os.path.join('outline', 'outline_node')
test_outline = os.path.join(tcfg.input_files_root, loca... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Thu Oct 22 17:12:44 2020 @author: Rodrigo
set emails = list
set labels = list
set namen = list
set email_text = list
set text = string
set P = list
import pandas as pd
import email as ml
from sklearn.model_selection import train_test_split
from sklearn.feature_extra... | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 22 17:12:44 2020
@author: Rodrigo
"""
emails=[]
labels=[]
namen=[]
email_text=[]
text = ""
P = []
import pandas as pd
import email as ml
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
fr... | Python | zaydzuhri_stack_edu_python |
async function _queue self ctx page=1
begin
if length songs == 0
begin
return await call send string Empty queue.
end
set items_per_page = 10
set pages = ceil length songs / items_per_page
set start = page - 1 * items_per_page
set end = start + items_per_page
set queue = string
for tuple i song in enumerate songs at s... | async def _queue(self, ctx: commands.Context, *, page: int = 1):
if len(ctx.voice_state.songs) == 0:
return await ctx.send('Empty queue.')
items_per_page = 10
pages = math.ceil(len(ctx.voice_state.songs) / items_per_page)
start = (page - 1) * items_per_page
end = s... | Python | nomic_cornstack_python_v1 |
function _search self node term i
begin
if not term
begin
comment No search term, no results
return set
end
if i == length term
begin
comment We hit the end of the search term, everything at
comment the current node is a match for the term
return call get_elements
end
set char = term at i
set children = call get_childr... | def _search(self, node, term, i):
if not term:
# No search term, no results
return set()
if i == len(term):
# We hit the end of the search term, everything at
# the current node is a match for the term
return node.get_elements()
char ... | Python | nomic_cornstack_python_v1 |
function getThumbnailPath self filePath
begin
set thumbnailDir : str = config at string fileStorage at string thumbnailPath
set thumbnailPath : str = thumbnailDir + base name path filePath
return thumbnailPath
end function | def getThumbnailPath(self, filePath: str) -> str:
thumbnailDir: str = self.config["fileStorage"]["thumbnailPath"]
thumbnailPath: str = thumbnailDir + os.path.basename(filePath)
return thumbnailPath | Python | nomic_cornstack_python_v1 |
comment Python Program to find Largest of Three Numbers using Elif Statement
set e = decimal input string Please Enter the First value:
set f = decimal input string Please Enter the First value:
set g = decimal input string Please Enter the First value:
if e > f and e > g
begin
print format string {0} is Greater Than b... | # Python Program to find Largest of Three Numbers using Elif Statement
e = float(input("Please Enter the First value: "))
f = float(input("Please Enter the First value: "))
g = float(input("Please Enter the First value: "))
if (e > f and e > g):
print("{0} is Greater Than both {1} and {2}". format(e, f, g))... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Wed Oct 14 19:33:43 2015 @author: root
import numpy as np
import Helpers as helpers
from scipy.interpolate import RegularGridInterpolator
class ProductionInventoryModel
begin
string states and control format s,p,q,x = s[0],s[1],a[0],a[1] --- state --- s - stock inventory ... | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 14 19:33:43 2015
@author: root
"""
import numpy as np
import Helpers as helpers
from scipy.interpolate import RegularGridInterpolator
class ProductionInventoryModel:
'''
states and control format
s,p,q,x = s[0],s[1],a[0],a[1]
--- state ---
s - s... | Python | zaydzuhri_stack_edu_python |
function _generate_literal literal_type
begin
seed 0
set m = search string bits\[(\d+)\]$ literal_type
if m
begin
return call _random_bits_value integer call group 1
end
else
begin
set m = search string bits\[(\d+)\]\[(\d+)\]$ literal_type
if not m
begin
raise call ValueError string Invalid or unsupported type { litera... | def _generate_literal(literal_type: str) -> str:
random.seed(0)
m = re.search(r'bits\[(\d+)\]$', literal_type)
if m:
return _random_bits_value(int(m.group(1)))
else:
m = re.search(r'bits\[(\d+)\]\[(\d+)\]$', literal_type)
if not m:
raise ValueError(f'Invalid or unsupported type {literal_type}'... | Python | nomic_cornstack_python_v1 |
import math
class Solution
begin
comment @param A : integer
comment @return a list of integers
function sieve self A
begin
set x = list none * A + 1
set res = list
for i in range 2 A + 1
begin
if x at i == false
begin
continue
end
else
begin
set x at i = call isPrime i
if x at i
begin
set j = 2
while j * i < A
begin
s... | import math
class Solution:
# @param A : integer
# @return a list of integers
def sieve(self, A):
x = [None]*(A+1)
res = []
for i in range(2,A+1):
if x[i] == False:
continue
else:
x[i] = self.isPrime(i)
if x[i]:... | Python | zaydzuhri_stack_edu_python |
string A simple program that asks for name, age and address. The details entered will be displayed in a certain format at the end.
comment These variables are for the needed details
set name = input string Enter your name:
set age = input string Enter your age:
set address = input string Enter your address:
comment Thi... | """
A simple program that asks for name, age and address.
The details entered will be displayed in a certain format at the end.
"""
#These variables are for the needed details
name = input('Enter your name: ')
age = input('Enter your age: ')
address = input('Enter your address: ')
#This statement displays the details... | Python | zaydzuhri_stack_edu_python |
function test_delete1 self
begin
pass
end function | def test_delete1(self):
pass | Python | nomic_cornstack_python_v1 |
string Input data will contain in the first line the number of triplets to follow. Next lines will contain one triplet each. Answer should contain selected minimums of triplets, separated by spaces. Example: data: 3 7 3 5 15 20 40 300 550 137 answer: 3 15 137
set tuple n list = tuple integer input list
for i in range ... | '''
Input data will contain in the first line the number of triplets to follow.
Next lines will contain one triplet each.
Answer should contain selected minimums of triplets, separated by spaces.
Example:
data:
3
7 3 5
15 20 40
300 550 137
answer:
3 15 137
'''
n, list = int(input()), []
for i in range(n):
x = ... | Python | zaydzuhri_stack_edu_python |
function train_generator_fn xs bs ys
begin
for tuple x b y in zip xs bs ys
begin
comment the key in the following dictionary
comment should be identical to the key of the output_types and output_shapes
comment in the train_input_fn.
set features = dict string x x ; string b b ; string y y
yield features
end
end functio... | def train_generator_fn(xs, bs, ys):
for (x, b, y) in zip(xs, bs, ys):
# the key in the following dictionary
# should be identical to the key of the output_types and output_shapes
# in the train_input_fn.
features = {'x': x, 'b': b, 'y': y}
yield features | Python | nomic_cornstack_python_v1 |
function read_image path
begin
set image = call imread path
set image = call cvtColor image COLOR_BGR2RGB
return image
end function | def read_image(path):
image = cv2.imread(path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
return image | Python | nomic_cornstack_python_v1 |
async function _show_form self errors=none
begin
return call async_show_form step_id=string user data_schema=cloud_api_schema errors=errors or dict
end function | async def _show_form(self, errors=None):
return self.async_show_form(
step_id="user", data_schema=self.cloud_api_schema, errors=errors or {},
) | Python | nomic_cornstack_python_v1 |
function combine x y
begin
set deleteX = true
set deleteY = true
set merge = false
set workout = list
for i in range length x
begin
if x at i != y at i
begin
if x at i == string *
begin
append workout y at i
set deleteX = false
end
else
if y at i == string *
begin
append workout x at i
set deleteY = false
end
else
if ... | def combine(x,y):
deleteX = True
deleteY = True
merge = False
workout = []
for i in range(len(x)):
if x[i] != y[i]:
if x[i] == '*':
workout.append(y[i])
deleteX = False
elif y[i] == '*':
workout.append(x[i])
... | Python | nomic_cornstack_python_v1 |
function Display num
begin
for i in range 1 num + 1 1
begin
for j in range 1 num + 1 1
begin
print j end=string
end
print
end
end function
function main
begin
set no = integer input string Enter a number
call Display no
end function
if __name__ == string __main__
begin
call main
end | def Display(num):
for i in range(1,num+1,1):
for j in range(1,num+1,1):
print(j,end=' ')
print()
def main():
no=int(input("Enter a number"))
Display(no)
if(__name__=="__main__"):
main()
| Python | zaydzuhri_stack_edu_python |
function turn self
begin
pass
end function | def turn(self):
pass | Python | nomic_cornstack_python_v1 |
import sys
set stdin = open string input.txt
set T = 10
for _ in range 1 T + 1
begin
set tc = integer input
comment 16 * 16 미로
set miro = list comprehension list map int input for _ in range 16
comment print(miro)
comment 델타
set dr = list - 1 1 0 0
set dc = list 0 0 - 1 1
set queue = list
set visited = list
set res =... | import sys
sys.stdin = open("input.txt")
T = 10
for _ in range(1, T+1):
tc = int(input())
# 16 * 16 미로
miro = [list(map(int, input())) for _ in range(16)]
# print(miro)
# 델타
dr = [-1, 1, 0, 0]
dc = [0, 0, -1, 1]
queue = []
visited = []
res = 0
# 2를 찾자
for i in range(... | Python | zaydzuhri_stack_edu_python |
function predict self Xtest nn_list
begin
comment calculate distances first
call dist_calc Xtest
set ypred = list
for nn in nn_list
begin
set neigh_ind = ind at tuple slice : : slice 0 : nn :
if weights == string uniform
begin
set p = mean np ytrain at neigh_ind axis=1
end
else
if weights == string distance
begin
... | def predict(self,Xtest,nn_list):
#calculate distances first
self.dist_calc(Xtest)
ypred = []
for nn in nn_list:
neigh_ind = self.ind[:,0:nn]
if self.weights == 'uniform':
p = np.mean(self.ytrain[neigh_ind], axis=1)
elif self.weig... | Python | nomic_cornstack_python_v1 |
function __int__ self
begin
set key_val = call _ValueOrPrimary key
if not is instance key_val tuple int long
begin
comment We should not truncate floating point numbers.
comment Nor turn strings of numbers into an integer.
raise call ValueError string The primary key is not an integral number.
end
return key_val
end fu... | def __int__(self):
key_val = self._ValueOrPrimary(self.key)
if not isinstance(key_val, (int, long)):
# We should not truncate floating point numbers.
# Nor turn strings of numbers into an integer.
raise ValueError('The primary key is not an integral number.')
return key_val | Python | nomic_cornstack_python_v1 |
comment Nathan Hinton
comment This is the file for the platforms
import pygame
class Platform
begin
function __init__ self display pos width height color
begin
set display = display
set tuple x y = pos
set width = width
set height = height
set color = color
set rect = call Rect x y width height
end function
function ru... | ##Nathan Hinton
##This is the file for the platforms
import pygame
class Platform:
def __init__(self, display, pos, width, height, color):
self.display = display
self.x, self.y = pos
self.width = width
self.height = height
self.color = color
self.rect = pygame.Rect(... | Python | zaydzuhri_stack_edu_python |
function provide self cls
begin
string Provides an instance of the given class. Args: cls: a class (not an instance) Returns: an instance of cls Raises: Error: an instance of cls is not providable
call verify_class_type cls string cls
if not call _is_injectable_fn cls
begin
set provide_loc = call get_back_frame_loc
rai... | def provide(self, cls):
"""Provides an instance of the given class.
Args:
cls: a class (not an instance)
Returns:
an instance of cls
Raises:
Error: an instance of cls is not providable
"""
support.verify_class_type(cls, 'cls')
if not... | Python | jtatman_500k |
function test_cv_gradients_gaussian_circuit self G O gaussian_dev tol
begin
set tol = 1e-05
set par = list 0.4
function circuit x
begin
set args = list 0.3 * num_params
set args at 0 = x
call Displacement 0.5 0 wires=0
call G *args wires=range num_wires
call Beamsplitter 1.3 - 2.3 wires=list 0 1
call Displacement - 0.5... | def test_cv_gradients_gaussian_circuit(self, G, O, gaussian_dev, tol):
tol = 1e-5
par = [0.4]
def circuit(x):
args = [0.3] * G.num_params
args[0] = x
qml.Displacement(0.5, 0, wires=0)
G(*args, wires=range(G.num_wires))
qml.Beamsplitte... | Python | nomic_cornstack_python_v1 |
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