code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function __getitem__ self item
begin
return get self sighash=item
end function | def __getitem__(self, item):
return self.get(sighash=item) | Python | nomic_cornstack_python_v1 |
with open filename string w as file_object
begin
write file_object f_name + string
end
with open filename string a as file_object
begin
write file_object l_name + string
end | with open(filename, 'w') as file_object:
file_object.write (f_name + ' ')
with open(filename,'a') as file_object:
file_object.write (l_name + ' ')
| Python | zaydzuhri_stack_edu_python |
function d_ff request
begin
return param
end function | def d_ff(request) -> int:
return request.param | Python | nomic_cornstack_python_v1 |
function __init__ self parent
begin
call __init__ self parent
set editors = list
set filenames = list
set tabwidget = none
set menu_actions = none
set layout = call QVBoxLayout
set tabwidget = call Tabs self menu_actions
call connect refresh
call connect move_tab
if platform == string darwin
begin
set tab_container =... | def __init__(self, parent):
QWidget.__init__(self, parent)
self.editors = []
self.filenames = []
self.tabwidget = None
self.menu_actions = None
layout = QVBoxLayout()
self.tabwidget = Tabs(self, self.menu_actions)
self.tabwidget.currentChanged.connect(s... | Python | nomic_cornstack_python_v1 |
function DeviceFirstOccurrence self **kwargs
begin
return call api_request call _get_method_fullname string DeviceFirstOccurrence kwargs
end function | def DeviceFirstOccurrence(self, **kwargs):
return self.api_request(self._get_method_fullname("DeviceFirstOccurrence"), kwargs) | Python | nomic_cornstack_python_v1 |
function __init__ self *args **kwds
begin
if args or kwds
begin
call __init__ *args keyword kwds
comment message fields cannot be None, assign default values for those that are
if mirror is none
begin
set mirror = false
end
if dynamical is none
begin
set dynamical = false
end
if ballSpecial is none
begin
set ballSpecia... | def __init__(self, *args, **kwds):
if args or kwds:
super(BikeRequest, self).__init__(*args, **kwds)
#message fields cannot be None, assign default values for those that are
if self.mirror is None:
self.mirror = False
if self.dynamical is None:
self.dynamical = False
if... | Python | nomic_cornstack_python_v1 |
function update_parties self *parties
begin
for party in parties
begin
set _route_table at string route_table at call get_id = call to_entry_point
end
end function | def update_parties(self, *parties) -> None:
for party in parties:
self._route_table['route_table'][party.get_id()] = party.to_entry_point(
) | Python | nomic_cornstack_python_v1 |
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
function similarity_score sentence1 sentence2
begin
string Computes the similarity between two sentences using cosine similarity.
comment Vectorize the sentences
set vectorizer = call CountVectorizer stop_words=string english
fit transform v... | import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
def similarity_score(sentence1, sentence2):
"""Computes the similarity between two sentences using cosine similarity."""
# Vectorize the sentences
vectorizer = CountVectorizer(stop_words='english')
vectorizer.fit_transform([... | Python | iamtarun_python_18k_alpaca |
function add_word_count word word_counts
begin
try
begin
set word_counts at word = word_counts at word + 1
end
except KeyError
begin
set word_counts at word = 1
end
end function | def add_word_count(word, word_counts):
try:
word_counts[word] += 1
except KeyError:
word_counts[word] = 1 | Python | nomic_cornstack_python_v1 |
function __insert_partial_model_in_model_queus self address partial_model
begin
with __aggregation_model_queues_lock
begin
if aggregation_id not in __previous_aggregation_ids
begin
if __aggregation_model_queues is none
begin
append __partial_model_queue_waiting_list tuple address partial_model
end
else
if __aggregation... | def __insert_partial_model_in_model_queus(self, address, partial_model):
with self.__aggregation_model_queues_lock:
if partial_model.aggregation_id not in self.__previous_aggregation_ids:
if self.__aggregation_model_queues is None:
self.__partial_model_queue_waiti... | Python | nomic_cornstack_python_v1 |
import uuid
import tempfile
import os
import torch
import math
from tqdm import tqdm
from import plots
set temp = call gettempdir
class GanTrainer
begin
string Trains a WGAN with different discriminator regularization strategies Args: batch_size (int): batch size data (callable): real data distribution. noise (callabl... | import uuid
import tempfile
import os
import torch
import math
from tqdm import tqdm
from . import plots
temp = tempfile.gettempdir()
class GanTrainer():
"""
Trains a WGAN with different discriminator regularization strategies
Args:
batch_size (int): batch size
data (callable): real dat... | Python | zaydzuhri_stack_edu_python |
from keras.models import Model , load_model
from keras.layers import Dense , LSTM , Concatenate , Input , Dropout
from countercoup.shared.structure import Structure
class EnhancedBasic extends Structure
begin
string Basic enhanced structure, same as Enhanced structure but without LSTM cells
decorator staticmethod
funct... | from keras.models import Model, load_model
from keras.layers import Dense, LSTM, Concatenate, Input, Dropout
from countercoup.shared.structure import Structure
class EnhancedBasic(Structure):
"""Basic enhanced structure, same as Enhanced structure but without LSTM cells"""
@staticmethod
def define_struct... | Python | zaydzuhri_stack_edu_python |
function on_epoch_start self
begin
for callback in callbacks
begin
call on_epoch_start self call get_model
end
end function | def on_epoch_start(self):
for callback in self.callbacks:
callback.on_epoch_start(self, self.get_model()) | Python | nomic_cornstack_python_v1 |
function set_crc self
begin
set str_hkey = string { nom } _ { dateOrigine } _ { dateUpdate }
set crc = hex digest sha1 encode str_hkey
end function | def set_crc(self):
str_hkey=f"{self.nom}_{self.dateOrigine}_{self.dateUpdate}"
self.crc=hashlib.sha1(str_hkey.encode()).hexdigest() | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment @Time : 2019/4/17 15:52
comment @Author : Lwq
comment @File : 2-2.py
comment @Software: PyCharm
string 如何统计列表中的元素频度
from collections import Counter
from random import randint
string 先把列表转换为字典（k是数据，V是频次），然后排序
set data = list comprehension random integer 0 10 for _ in range 30
print ... | # -*- coding: utf-8 -*-
# @Time : 2019/4/17 15:52
# @Author : Lwq
# @File : 2-2.py
# @Software: PyCharm
"""
如何统计列表中的元素频度
"""
from collections import Counter
from random import randint
'''
先把列表转换为字典（k是数据，V是频次），然后排序
'''
data = [randint(0, 10) for _ in range(30)]
print('data:', data)
l = dict.fromkeys(data, 0)
for... | Python | zaydzuhri_stack_edu_python |
function all_webhooks self trans **kwd
begin
return list comprehension call to_dict for webhook in webhooks
end function | def all_webhooks(self, trans, **kwd):
return [
webhook.to_dict()
for webhook in self.app.webhooks_registry.webhooks
] | Python | nomic_cornstack_python_v1 |
function item_pubdate self item
begin
return submit_date
end function | def item_pubdate(self, item):
return item.submit_date | Python | nomic_cornstack_python_v1 |
function approx_standard_normal_cdf x
begin
return 0.5 * 1.0 + tanh square root 2.0 / pi * x + 0.044715 * power x 3
end function | def approx_standard_normal_cdf(x):
return 0.5 * (1.0 + torch.tanh(np.sqrt(2.0 / np.pi) * (x + 0.044715 * torch.pow(x, 3)))) | Python | nomic_cornstack_python_v1 |
for i in range n
begin
if i % 2 == 0
begin
set ans = ans + A at i
end
else
begin
set ans = ans - A at i
end
end
print ans | for i in range(n):
if i % 2 == 0:
ans += A[i]
else:
ans -= A[i]
print(ans) | Python | zaydzuhri_stack_edu_python |
function create_oracle_connection
begin
try
begin
set property_file_contents = call collect_property_file_contents string config.ini string ORACLE
set conn = call open_oracle_connection property_file_contents
return conn
end
except Exception as e
begin
print string ERROR: Unable to connect to ORACLE account. Will be un... | def create_oracle_connection():
try:
property_file_contents = collect_property_file_contents('config.ini', 'ORACLE')
conn = open_oracle_connection(property_file_contents)
return conn
except Exception as e:
print('ERROR: Unable to connect to ORACLE account. Will be unable ... | Python | nomic_cornstack_python_v1 |
function breadth_first_search start_state
begin
comment list of paths through the state space, represented as (move, state) pairs.
set frontier = list list tuple string start start_state
comment set of states we've already visited
set visited = set
set i = 0
while frontier
begin
comment consider the first path in the f... | def breadth_first_search(start_state):
frontier = [[('start', start_state)]] # list of paths through the state space, represented as (move, state) pairs.
visited = set() # set of states we've already visited
i = 0
while frontier:
path = frontier.pop(0) # consider the first path in the frontier,... | Python | nomic_cornstack_python_v1 |
function gen_indices_with_replacement self dataset dataset_size min max number_of_subsets
begin
set indices = list
for i in range number_of_subsets
begin
set subset_size = random integer min max
append indices list comprehension random integer 0 dataset_size for j in range subset_size
end
return indices
end function | def gen_indices_with_replacement(self, dataset, dataset_size: int, min: int, max: int, number_of_subsets: int):
indices = []
for i in range(number_of_subsets):
subset_size = random.randint(min, max)
indices.append([random.randint(0,dataset_size) for j in range(subset_size)])
return indices | Python | nomic_cornstack_python_v1 |
from random import randrange
set count = 0
while true
begin
set x = call randrange - 100 100
if expression x is 50 then print x else print x end=string ,
set count = count + 1
if x == 50
begin
break
end
end
print string Count = count | from random import randrange
count = 0
while True:
x = randrange(-100, 100)
print(x) if x is 50 else print(x, end=',')
count += 1
if x == 50:
break
print('Count =', count)
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
from inspect import signature
from functools import wraps
function typeassert *ty_args **ty_kwargs
begin
function decorate func
begin
if not __debug__
begin
return func
end
set sig = signature func
set bound_tyes = arguments
decorator wraps func
function wrappe... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from inspect import signature
from functools import wraps
def typeassert(*ty_args, **ty_kwargs):
def decorate(func):
if not __debug__:
return func
sig = signature(func)
bound_tyes = sig.bind_partial(*ty_args, **ty_kwargs).arguments
... | Python | zaydzuhri_stack_edu_python |
function split_bucket_university_course current_bucket_university_course
begin
set course_separator_delimiter = list string computer string artificial string cyber string network string data string machine
for delimiter in course_separator_delimiter
begin
set separated_list = split current_bucket_university_course deli... | def split_bucket_university_course(current_bucket_university_course):
course_separator_delimiter = ['computer', 'artificial', 'cyber', 'network', 'data', 'machine']
for delimiter in course_separator_delimiter:
separated_list = current_bucket_university_course.split(delimiter,1)
if len(se... | Python | nomic_cornstack_python_v1 |
string Solution to https://leetcode.com/problems/product-of-array-except-self/ This problem was asked by Uber. Given an array of integers, return a new array such that each element at index i of the new array is the product of all the numbers in the original array except the one at i. For example, if our input was [1, ... | """
Solution to https://leetcode.com/problems/product-of-array-except-self/
This problem was asked by Uber.
Given an array of integers, return a new array such that each element at index i of the new array is the product of all
the numbers in the original array except the one at i.
For example, if our input was [1, 2, ... | Python | zaydzuhri_stack_edu_python |
function strip_foxid_attribute content
begin
return sub FOXID_REGEX string content
end function | def strip_foxid_attribute(content: str) -> str:
return re.sub(FOXID_REGEX, "", content) | Python | nomic_cornstack_python_v1 |
function InfoString self message
begin
return HEADER + string [ -INFO-] + ENDC + message
end function | def InfoString(self, message):
return self.HEADER + "[ -INFO-]" + self.ENDC + message | Python | nomic_cornstack_python_v1 |
function finalize self
begin
comment type: () -> bytes
if finished
begin
raise call RuntimeError string pmac: already finished
end
if position == SIZE
begin
call xor_in_place buffer
call xor_in_place l_inv
end
else
begin
for i in range position
begin
set data at i = data at i ? data at i
end
set data at position = data... | def finalize(self):
# type: () -> bytes
if self.finished:
raise RuntimeError("pmac: already finished")
if self.position == block.SIZE:
self.digest.xor_in_place(self.buffer)
self.digest.xor_in_place(self.l_inv)
else:
for i in range(self.pos... | Python | nomic_cornstack_python_v1 |
function sizeOver self
begin
return _size + 1 >= _capacity * _limit
end function | def sizeOver(self):
return (self._size+1) >= self._capacity * self._limit | Python | nomic_cornstack_python_v1 |
import nltk
import os
from nltk.collocations import *
import plotly.graph_objects as go
import tqdm
function bi_grams token_list
begin
set bgrams = call bigrams token_list
comment compute frequency distribution for all the bigrams in the text
set fdist = call FreqDist bgrams
set bigram_fq = call most_common
set bigram_... | import nltk
import os
from nltk.collocations import *
import plotly.graph_objects as go
import tqdm
def bi_grams(token_list):
bgrams = nltk.bigrams(token_list)
# compute frequency distribution for all the bigrams in the text
fdist = nltk.FreqDist(bgrams)
bigram_fq = fdist.most_common()
bigram_fre... | Python | zaydzuhri_stack_edu_python |
function acl_list consul_url=none token=none **kwargs
begin
string List the ACL tokens. :param consul_url: The Consul server URL. :return: List of ACLs CLI Example: .. code-block:: bash salt '*' consul.acl_list
set ret = dict
set data = dict
if not consul_url
begin
set consul_url = call _get_config
if not consul_url
... | def acl_list(consul_url=None, token=None, **kwargs):
'''
List the ACL tokens.
:param consul_url: The Consul server URL.
:return: List of ACLs
CLI Example:
.. code-block:: bash
salt '*' consul.acl_list
'''
ret = {}
data = {}
if not consul_url:
consul_url = _ge... | Python | jtatman_500k |
function getMicroAODHLTFilter datasetName options
begin
for tuple dset analysisType in items options at string TriggerPaths
begin
set hlt_paths = list
for an in analysisType
begin
extend hlt_paths list comprehension string trg for trg in options at string TriggerPaths at dset at an
end
set triggerConditions = call vst... | def getMicroAODHLTFilter(datasetName, options):
for dset, analysisType in options["TriggerPaths"].items():
hlt_paths = []
for an in analysisType:
hlt_paths.extend( [str(trg) for trg in options["TriggerPaths"][dset][an]] )
triggerConditions = cms.vstring(hlt_paths) | Python | nomic_cornstack_python_v1 |
function run_touch self
begin
comment Alle zukünftigen Tageskategorien touchen
set day = time delta days=1
set start = now
for _ in range 14
begin
set c = call Category site format string Kategorie:Wikipedia:Dateiüberprüfung ({}) string format time start string %Y-%m-%d
call touch c
set start = start - day
end
end func... | def run_touch(self):
# Alle zukünftigen Tageskategorien touchen
day = timedelta(days=1)
start = datetime.now()
for _ in range(14):
c = pywikibot.Category(self.site,
'Kategorie:Wikipedia:Dateiüberprüfung ({})'
... | Python | nomic_cornstack_python_v1 |
import torch.nn as nn
import torch
import torch.optim as optim
import time
import math
import numpy as np
from torch.utils.data import Dataset , DataLoader
comment Ignore warnings
import warnings
filter warnings string ignore
import sys
comment insert at 1, 0 is the script path (or '' in REPL)
insert path 1 string /Use... | import torch.nn as nn
import torch
import torch.optim as optim
import time
import math
import numpy as np
from torch.utils.data import Dataset, DataLoader
# Ignore warnings
import warnings
warnings.filterwarnings("ignore")
import sys
# insert at 1, 0 is the script path (or '' in REPL)
sys.path.insert(1, '/Users/kehuiy... | Python | zaydzuhri_stack_edu_python |
function add_image_contrast username image time
begin
set user = first call raw dict string _id username
append image_contrast image
append contrast_time time
set contrast_times = contrast_times + 1
save
return contrast_times
end function | def add_image_contrast(username, image, time):
user = models.User.objects.raw({"_id": username}).first()
user.image_contrast.append(image)
user.contrast_time.append(time)
user.contrast_times += 1
user.save()
return user.contrast_times | Python | nomic_cornstack_python_v1 |
function gensalt log_rounds=12
begin
return call _encode_salt call urandom 16 min max log_rounds 4 31
end function | def gensalt(log_rounds=12):
return _encode_salt(os.urandom(16), min(max(log_rounds, 4), 31)) | Python | nomic_cornstack_python_v1 |
comment Given
comment an
comment array
comment A
comment of
comment N
comment integers.Your
comment task is to
comment write
comment a
comment program
comment to
comment find
comment the
comment maximum
comment value
comment of ∑arr[i] * i, where
comment i = 0, 1, 2,…., n – 1.
comment You
comment are
comment allowed
co... | # Given
# an
# array
# A
# of
# N
# integers.Your
# task is to
# write
# a
# program
# to
# find
# the
# maximum
# value
# of ∑arr[i] * i, where
# i = 0, 1, 2,…., n – 1.
# You
# are
# allowed
# to
# rearrange
# the
# elements
# of
# the
# array.
# Note: Since
# output
# could
# be
# larg... | Python | zaydzuhri_stack_edu_python |
function render slug=string
begin
if slug
begin
call _render_graphics list string %s/%s % tuple GRAPHICS_PATH slug
end
else
begin
comment save_fallback_image(slug) # TODO
call _render_graphics glob string %s/* % GRAPHICS_PATH
end
end function | def render(slug=''):
if slug:
_render_graphics(['%s/%s' % (app_config.GRAPHICS_PATH, slug)])
# save_fallback_image(slug) # TODO
else:
_render_graphics(glob('%s/*' % app_config.GRAPHICS_PATH)) | Python | nomic_cornstack_python_v1 |
comment pragma: no cover
function shutdown signum frame
begin
info string Shutting down
exit 0
end function | def shutdown(signum, frame): # pragma: no cover
logging.info("Shutting down")
sys.exit(0) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sun Oct 29 20:11:03 2017 @author: PeaceDove
comment monitor.py
import urllib
from xml.etree.cElementTree import parse
set candidates = list string 1866 string 1383 string 4367
set daves_lat = 41.980262
function distance lat1 lat2
begin
string Return distance in miles betw... | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 29 20:11:03 2017
@author: PeaceDove
"""
# monitor.py
import urllib
from xml.etree.cElementTree import parse
candidates = ['1866', '1383', '4367']
daves_lat =41.980262
def distance(lat1, lat2):
'Return distance in miles between two lats'
return 69 * abs(lat1 -... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
comment Dataset:
set MATLAB = call DataFrame dict string Linguagem de Programação repeat string MATLAB 13 ; string Quantidade de Palavras tuple 463 698 39 446 688 443 446 446 450 363 448 443 461
set Julia = call DataFrame dict ... | import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
# Dataset:
MATLAB = pd.DataFrame({ 'Linguagem de Programação' : np.repeat('MATLAB', 13), 'Quantidade de Palavras': (463,
698,
39,
446,
688,
443,
446,
446,
450,
363,
448,
443,
461)
})
Julia = pd.DataFrame({ 'Linguagem de Progr... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
function center_crop img new_h new_w
begin
set tuple old_h old_w = shape at slice : 2 :
set off_w = old_w - new_w // 2
set off_h = old_h - new_h // 2
return img at tuple slice off_h : off_h + new_h : slice off_w : off_w + new_w : slice : :
end f... | import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
def center_crop(img, new_h, new_w):
old_h, old_w = img.shape[:2]
off_w = (old_w - new_w) // 2
off_h = (old_h - new_h) // 2
return img[off_h:off_h+new_h, off_w:off_w+new_w, :]
def find_edges(img):
if len(img.shape) >... | Python | zaydzuhri_stack_edu_python |
comment Entrada
set real = decimal input string Digite o valor em real:
comment Processamento
set desconto = real * 70 / 100
comment Saída
print format string 70% de R${:.2f} é: R${:.2f} real desconto | #Entrada
real = float(input("Digite o valor em real: "))
#Processamento
desconto = real*70/100
#Saída
print("70% de R${:.2f} é: R${:.2f}".format(real,desconto))
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment template.py
comment -----------------------------------------------------------------------------
comment template
comment -----------------------------------------------------------------------------
function template input_data
begin
set output = input_data
return output
end funct... | #!/usr/bin/env python
# template.py
# -----------------------------------------------------------------------------
# template
# -----------------------------------------------------------------------------
def template(input_data):
output = input_data
return output
if __name__ == "__main__":
... | Python | zaydzuhri_stack_edu_python |
import requests
comment UA 伪装：将对应的User-Agent封装到一个字典里
set headers = dict string User-agent string Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36
set url = string http://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=keyword
comment 处理url携带的参数：封装到... | import requests
# UA 伪装：将对应的User-Agent封装到一个字典里
headers={
'User-agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36'
}
url='http://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=keyword'
#处理url携带的参数：封装到字典中
kw=input('enter a word:')
param={... | Python | zaydzuhri_stack_edu_python |
function crier_ordres self personnage
begin
set direction = direction
if direction < 23 or direction > 337
begin
set nom_dir = string l'est
end
else
if direction < 67
begin
set nom_dir = string le sud-est
end
else
if direction < 112
begin
set nom_dir = string le sud
end
else
if direction < 157
begin
set nom_dir = strin... | def crier_ordres(self, personnage):
direction = self.direction
if direction < 23 or direction > 337:
nom_dir = "l'est"
elif direction < 67:
nom_dir = "le sud-est"
elif direction < 112:
nom_dir = "le sud"
elif direction < 157:
nom_di... | Python | nomic_cornstack_python_v1 |
import serial
set lora = call Serial string /dev/ttyACM1 115200 timeout=2.0
set Arduino = call Serial string /dev/ttyACM2 9600 timeout=2.0
print string Start
while true
begin
set comando = read line Arduino
set mensaje = string AT+SEND + comando + string
print mensaje
write lora encode mensaje
end
set lora = close con... | import serial
lora = serial.Serial('/dev/ttyACM1',115200,timeout=2.0)
Arduino = serial.Serial ('/dev/ttyACM2',9600,timeout=2.0)
print ("Start")
while True:
comando = Arduino.readline()
mensaje = "AT+SEND "+comando+"\r"
print (mensaje)
lora.write(mensaje.encode())
lora = connection.close()
Arduino = connection.c... | Python | zaydzuhri_stack_edu_python |
function Evaluator *args
begin
function helper holding
begin
set points = 0
for tuple rank value in zip RANKS list args + list 0 * length RANKS - length args
begin
set points = points + count holding rank * value
end
return points
end function
return helper
end function | def Evaluator(*args):
def helper(holding):
points = 0
for (rank, value) in zip(RANKS, list(args) + [0]*(len(RANKS)-len(args))):
points += holding.count(rank)*value
return points
return helper | Python | nomic_cornstack_python_v1 |
import RPi.GPIO as GPIO
import time
set servoPIN = 17
call setmode BCM
setup GPIO servoPIN OUT
set p = call PWM servoPIN 50
start p 2.5 | import RPi.GPIO as GPIO
import time
servoPIN=17
GPIO.setmode(GPIO.BCM)
GPIO.setup(servoPIN, GPIO.OUT)
p = GPIO.PWM(servoPIN, 50)
p.start(2.5) | Python | zaydzuhri_stack_edu_python |
import socket
function Main
begin
set host = string 127.0.0.1
set port = 5000
set s = call socket
call connect tuple host port
set filename = call raw_input string Masukkan nama file =
if filename != string q
begin
call send filename
set data = call recv 1024
if data at slice : 6 : == string EXISTS
begin
set size = c... | import socket
def Main():
host = '127.0.0.1'
port = 5000
s = socket.socket()
s.connect((host, port))
filename = raw_input("Masukkan nama file = ")
if filename != 'q':
s.send(filename)
data = s.recv(1024)
if data[:6] == 'EXISTS':
size = long(data[6:])
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import matplotlib.pyplot as plt
from Task3_HelperFunctions import featureFunction
function computeRMSE yPred y
begin
string Returns the RMSE between the target calculated with input x and weights and the true value of y. The used formulas are shown as comments in the code
set RMSE = 0
for tuple i yi ... | import numpy as np
import matplotlib.pyplot as plt
from Task3_HelperFunctions import featureFunction
def computeRMSE(yPred: np.ndarray, y: np.ndarray) -> float:
"""Returns the RMSE between the target calculated with input x and weights and the true value of y. The used
formulas are shown as comments in the co... | Python | zaydzuhri_stack_edu_python |
function categorize_as_vendor_payment self transaction_id vendor_payment
begin
set url = base_url + string uncategorized/ + transaction_id + string /categorize/vendorpayments
set json_object = dumps to json vendor_payment
set data = dict string JSONString json_object
set resp = post url details headers data
return call... | def categorize_as_vendor_payment(self, transaction_id, vendor_payment):
url = base_url + 'uncategorized/' + transaction_id + \
'/categorize/vendorpayments'
json_object = dumps(vendor_payment.to_json())
data = {
'JSONString': json_object
}
resp = zo... | Python | nomic_cornstack_python_v1 |
import json
from urllib.request import urlopen
with url open string https://jsonplaceholder.typicode.com/posts as response
begin
set source = read response
end
set data = loads source
for d in data
begin
print d at string userId
print d at string id
print d at string title
print d at string body
print
end
comment print... | import json
from urllib.request import urlopen
with urlopen("https://jsonplaceholder.typicode.com/posts") as response:
source = response.read()
data = json.loads(source)
for d in data:
print(d['userId'])
print(d['id'])
print(d['title'])
print(d['body'])
print()
# print(json.dumps(data, inden... | Python | zaydzuhri_stack_edu_python |
from collections import deque
set T = integer input
function calc x op
begin
if op == string D
begin
return x * 2 % 10000
end
else
if op == string S
begin
if x == 0
begin
return 9999
end
return x - 1
end
else
if op == string L
begin
return x % 1000 * 10 + x // 1000
end
else
begin
return x % 10 * 1000 + x // 10
end
end ... | from collections import deque
T = int(input())
def calc(x, op):
if op == 'D':
return (x*2)%10000
elif op =='S':
if x == 0: return 9999
return x-1
elif op == 'L':
return (x%1000)*10+x//1000
else:
return (x%10)*1000+x//10
for _ in range(T):
a, b = map(int, inpu... | Python | zaydzuhri_stack_edu_python |
function claim_device self user_id device_id
begin
if user_id is none
begin
call log_error __name__ + string Unexpected empty object: user_id
return false
end
if device_id is none
begin
call log_error __name__ + string Unexpected empty object: device_id
return false
end
try
begin
set user_id_obj = call ObjectId user_id... | def claim_device(self, user_id, device_id):
if user_id is None:
self.log_error(MongoDatabase.claim_device.__name__ + "Unexpected empty object: user_id")
return False
if device_id is None:
self.log_error(MongoDatabase.claim_device.__name__ + "Unexpected empty object: d... | Python | nomic_cornstack_python_v1 |
function load_yaml_config self
begin
comment LOG.info('Loading _Config - Version:{}'.format(__version__))
try
begin
set l_node = call read_yaml CONFIG_FILE_NAME
end
except any
begin
set Buttons = none
return none
end
try
begin
set l_yaml = Yaml at string Buttons
end
except any
begin
warn string The buttons.yaml file do... | def load_yaml_config(self):
# LOG.info('Loading _Config - Version:{}'.format(__version__))
try:
l_node = config_tools.Yaml(self.m_pyhouse_obj).read_yaml(CONFIG_FILE_NAME)
except:
self.m_pyhouse_obj.House.Lighting.Buttons = None
return None
try:
... | Python | nomic_cornstack_python_v1 |
function get_intent data
begin
global name
global mailto
global mailcontent
set m = lower data at string message
comment If the intent is about name i.e the first input by the user.
if data at string key == string name
begin
set name = m
return string next
end
else
comment If the user answered to the question ( enter t... | def get_intent(data):
global name
global mailto
global mailcontent
m=data['message'].lower()
## If the intent is about name i.e the first input by the user.
if data['key'] =="name":
name=m
return "next"
## If the user answered to the question ( enter the mail ID )
... | Python | zaydzuhri_stack_edu_python |
function transformer_prepare_encoder inputs hparams features=none
begin
set ishape_static = call as_list
set encoder_input = inputs
comment Usual case - not a packed dataset.
set encoder_padding = call embedding_to_padding encoder_input
set ignore_padding = call attention_bias_ignore_padding encoder_padding
set encoder... | def transformer_prepare_encoder(inputs, hparams, features=None):
ishape_static = inputs.shape.as_list()
encoder_input = inputs
# Usual case - not a packed dataset.
encoder_padding = common_attention.embedding_to_padding(encoder_input)
ignore_padding = common_attention.attention_bias_ignore_padding(... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
comment -*-coding:utf-8 -*-
from sklearn import neighbors
import numpy as np
import matplotlib.pyplot as plt
function draw_training_points figure
begin
clear figure
title plt string k-NN (k = + string k + string )
x label string X Axis
y label string Y Axis
scatter call gca x1 y1 c=string b mar... | #!/usr/bin/python
# -*-coding:utf-8 -*-
from sklearn import neighbors
import numpy as np
import matplotlib.pyplot as plt
def draw_training_points(figure):
figure.clear()
plt.title('k-NN (k = ' + str(k) + ')')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
figure.gca().scatter(x1, y1, c='b', marker='s... | Python | zaydzuhri_stack_edu_python |
function cu_qoo10_product self result
begin
set order_lines = list
set order_line = result at string data at string Order
comment for order_line in product_list:
if order_line
begin
set name = order_line at string itemTitle
set name = strip encode name string utf8
set name = replace string name string \ string
set nam... | def cu_qoo10_product(self, result):
order_lines = []
order_line = result['data']['Order']
# for order_line in product_list:
if order_line:
name = order_line['itemTitle']
name = name.encode('utf8').strip()
name = str(name).replace("\\", '')
... | Python | nomic_cornstack_python_v1 |
function function
begin
set a = split input
if a at 0 == string stop
begin
print string Работа программы прекращена
end
else
begin
set product = 1
set i = 0
while i < length a
begin
set product = integer a at i * product
set i = i + 1
end
print product
end
end function | def function():
a = input().split()
if a[0] == "stop":
print("Работа программы прекращена")
else:
product = 1
i = 0
while i < len(a):
product = int(a[i]) * product
i+=1
print(product)
| Python | zaydzuhri_stack_edu_python |
function run self *args **kwargs
begin
raise call NotImplementedError string Tasks must define a run method.
end function | def run(self, *args, **kwargs):
raise NotImplementedError("Tasks must define a run method.") | Python | nomic_cornstack_python_v1 |
function get_all_possible_masks prev nxt
begin
comment Base case: finished parsing whole string
if length nxt == 0
begin
return list string
end
comment Base case: no more Xs
if find nxt string X == - 1
begin
return list nxt
end
comment Recursive case:
set all_masks = list
comment X here, so we need to replace with 0 ... | def get_all_possible_masks(prev, nxt):
# Base case: finished parsing whole string
if len(nxt) == 0:
return ['']
# Base case: no more Xs
if nxt.find('X') == -1:
return [nxt]
# Recursive case:
all_masks = []
if nxt[0] == 'X': # X here, so we need to replace with 0 or 1
... | Python | nomic_cornstack_python_v1 |
function read_metadata cls data index
begin
set metadata = dict
while true
begin
if not data at index
begin
pass
end
else
if data at index and data at index at 0 == string Impact category
begin
return tuple metadata index
end
else
if data at index and data at index + 1 and data at index at 0
begin
set metadata at data... | def read_metadata(cls, data, index):
metadata = {}
while True:
if not data[index]:
pass
elif data[index] and data[index][0] == "Impact category":
return metadata, index
elif data[index] and data[index + 1] and data[index][0]:
... | Python | nomic_cornstack_python_v1 |
function _gather_rdr_queries project_id dataset_id
begin
set query_list = list
extend query_list call get_id_deduplicate_queries project_id dataset_id
extend query_list call get_year_of_birth_queries project_id dataset_id
extend query_list call get_negative_ages_queries project_id dataset_id
extend query_list call get... | def _gather_rdr_queries(project_id, dataset_id):
query_list = []
query_list.extend(id_dedup.get_id_deduplicate_queries(project_id, dataset_id))
query_list.extend(clean_years.get_year_of_birth_queries(project_id, dataset_id))
query_list.extend(neg_ages.get_negative_ages_queries(project_id, dataset_id))
... | Python | nomic_cornstack_python_v1 |
function add_fivec_express_group subparser
begin
call add_argument string -e string --express-iterations dest=string expiter required=false type=int default=1000 action=string store help=string The number of iterations to run the express learning phase for. [default: %(default)s]
call add_argument string -d string --re... | def add_fivec_express_group(subparser):
subparser.add_argument("-e", "--express-iterations", dest="expiter", required=False, type=int, default=1000,
action='store', help="The number of iterations to run the express learning phase for. [default: %(default)s]")
subparser.add_argument("-d", "--remove-dista... | Python | nomic_cornstack_python_v1 |
comment Problem 378
comment Medium
comment Asked by Coinbase
comment Write a function that takes in a number, string, list, or dictionary and returns
comment its JSON encoding. It should also handle nulls.
comment For example, given the following input:
comment [None, 123, ["a", "b"], {"c":"d"}]
comment You should retu... | # Problem 378
# Medium
# Asked by Coinbase
#
# Write a function that takes in a number, string, list, or dictionary and returns
# its JSON encoding. It should also handle nulls.
#
# For example, given the following input:
#
# [None, 123, ["a", "b"], {"c":"d"}]
#
# You should return the following, as a string:
... | Python | zaydzuhri_stack_edu_python |
function replace_multiGT_with_bialleleGT id_format_dict alt_allele_gt line_dict
begin
comment loop over proband (gt_id) and genotype from FORMAT field (gt_value)
for tuple ft_id ft_field_dict in items id_format_dict
begin
try
begin
set gt_split_list = split re string [|/] ft_field_dict at string GT
set alt_allele_gt_st... | def replace_multiGT_with_bialleleGT(id_format_dict, alt_allele_gt, line_dict):
# loop over proband (gt_id) and genotype from FORMAT field (gt_value)
for ft_id, ft_field_dict in id_format_dict.items():
try:
gt_split_list = re.split("[|/]", ft_field_dict["GT"])
alt_allele_gt_str = ... | Python | nomic_cornstack_python_v1 |
function bagURLLinks request identifier
begin
comment assign the proxy url
set proxyRoot = call build_absolute_uri string /
comment attempt to grab a bag,
call get_object_or_404 Bag name__exact=identifier
try
begin
set transList = call generateBagFiles identifier proxyRoot CODA_PROXY_MODE
end
except FileHandleError
beg... | def bagURLLinks(request, identifier):
# assign the proxy url
proxyRoot = request.build_absolute_uri('/')
# attempt to grab a bag,
get_object_or_404(Bag, name__exact=identifier)
try:
transList = generateBagFiles(identifier, proxyRoot, settings.CODA_PROXY_MODE)
except FileHandleError:
... | Python | nomic_cornstack_python_v1 |
function set_up_repo clone_url repo_dir
begin
info string Cloning repo...
set local_repo = call clone_from url=clone_url to_path=repo_dir
return local_repo
end function | def set_up_repo(clone_url, repo_dir):
LOG.info("Cloning repo...")
local_repo = git.Repo.clone_from(url=clone_url, to_path=repo_dir)
return local_repo | Python | nomic_cornstack_python_v1 |
import copy
import heapq as hp
comment A class contains all the information and statistic for processes
class Process extends object
begin
function __init__ self proc_id initial_arrival_time cpu_burst_time num_bursts io_time
begin
set proc_id = proc_id
set arrival_time = integer initial_arrival_time
set initial_arrival... | import copy
import heapq as hp
# A class contains all the information and statistic for processes
class Process(object):
def __init__(self, proc_id, initial_arrival_time, cpu_burst_time,
num_bursts, io_time):
self.proc_id = proc_id
self.arrival_time = int(initial_arri... | Python | zaydzuhri_stack_edu_python |
function c_to_f temp
begin
if type temp is list or type temp is tuple
begin
return list comprehension c * 1.8 + 32 for c in temp
end
else
begin
return temp * 1.8 + 32.0
end
end function | def c_to_f(temp):
if type(temp) is list or type(temp) is tuple:
return [c * 1.8 + 32 for c in temp]
else:
return temp * 1.8 + 32.0 | Python | nomic_cornstack_python_v1 |
function search_json self r **attr
begin
set xml = xml
set output = none
set request = request
set response = response
set resource = resource
set table = table
comment Query comes in pre-filtered to accessible & deletion_status
comment Respect response.s3.filter
call add_filter filter
comment should be request.get_var... | def search_json(self, r, **attr):
xml = self.manager.xml
output = None
request = self.request
response = self.response
resource = self.resource
table = self.table
# Query comes in pre-filtered to accessible & deletion_status
# Respect response.s3.f... | Python | nomic_cornstack_python_v1 |
import math
class MinHeap
begin
function __init__ self
begin
set heap = list
set size = 0
end function
function getParentIndex self i
begin
return floor i - 1 / 2
end function
function getLeftChildIndex self i
begin
return 2 * i + 1
end function
function getRightChildIndex self i
begin
return 2 * i + 2
end function
fu... | import math
class MinHeap:
def __init__(self):
self.heap = []
self.size = 0
def getParentIndex(self, i):
return math.floor((i-1)/2)
def getLeftChildIndex(self, i):
return 2*i + 1
def getRightChildIndex(self, i):
return 2*i + 2
... | Python | zaydzuhri_stack_edu_python |
import keras
import numpy as np
from datetime import datetime
from keras import optimizers
from keras.models import Model , load_model
from keras.layers import Dense
from keras.applications.resnet50 import ResNet50
from sklearn.metrics import roc_auc_score
from utils import img_dims
set batch_size = 64
set num_epochs =... | import keras
import numpy as np
from datetime import datetime
from keras import optimizers
from keras.models import Model, load_model
from keras.layers import Dense
from keras.applications.resnet50 import ResNet50
from sklearn.metrics import roc_auc_score
from utils import img_dims
batch_size = 64
num_epochs = 15
lr... | Python | zaydzuhri_stack_edu_python |
function get_texts book
begin
set content = read book
set chars_limit = 970
set texts = list comprehension content at slice i : i + chars_limit : for i in range 0 length content chars_limit
return list comprehension if expression t != texts at 0 then string ... + t + string ... else t + string ... for t in texts
end f... | def get_texts(book: TextIO) -> list:
content = book.read()
chars_limit = 970
texts = [content[i:i + chars_limit] for i in range(0, len(content), chars_limit)]
return ["..." + t + "..." if t != texts[0] else t + "..." for t in texts] | Python | nomic_cornstack_python_v1 |
function predict model samples
begin
set tuple probabilities t = call forward_propagate model at string weights model at string biases samples
return argument maximum probabilities axis=1
end function | def predict(model, samples):
probabilities, t = forward_propagate(
model['weights'],
model['biases'],
samples
)
return np.argmax(probabilities, axis=1) | Python | nomic_cornstack_python_v1 |
function playerWins self
begin
raise NotImplementedError
end function | def playerWins(self):
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
comment coding:utf-8
from selenium import webdriver
import time
import unittest
from case.login import login
class LoginTest extends TestCase
begin
decorator classmethod
function setUpClass cls
begin
set driver = call Chrome
end function
function setUp self
begin
get driver string https://sop.linlinyi.cn/manage/toLogin... | # coding:utf-8
from selenium import webdriver
import time
import unittest
from case.login import login
class LoginTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.driver = webdriver.Chrome()
def setUp(self):
self.driver.get("https://sop.linlinyi.cn/manage/toLogin.jhtml?retu... | Python | zaydzuhri_stack_edu_python |
function set_contrast self brightness
begin
comment First write the brightness
if brightness not in range 0 256
begin
raise call ValueError string Valid brightness is between 0 and 255.
end
call write_mailbox 0 brightness
comment Then write the command
call write_blocking_command SET_CONTRAST_LEVEL
end function | def set_contrast(self, brightness):
# First write the brightness
if brightness not in range(0, 256):
raise ValueError("Valid brightness is between 0 and 255.")
self.microblaze.write_mailbox(0, brightness)
# Then write the command
self.microblaze.write_blocking_comman... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import collections
import matplotlib.pyplot as plt
import networkx as nx
import progressbar
import itertools
comment from nxviz import CircosPlot
string G = nx.Graph() orgs = [] #for letter1, letter2 in itertools.combinations("abcdefgh", 2): # G.add_edge(letter1, letter2) #G.add_n... | import pandas as pd
import numpy as np
import collections
import matplotlib.pyplot as plt
import networkx as nx
import progressbar
import itertools
#from nxviz import CircosPlot
'''
G = nx.Graph()
orgs = []
#for letter1, letter2 in itertools.combinations("abcdefgh", 2):
# G.add_edge(letter1, letter2)
#G.add_node("... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import requests
import bs4
from datetime import date
set df = read csv string c:/pyprojects/dm/data/rm_links_to_brands2021-08-17.csv
set links = list links
set links = list comprehension string x + string ?isLayerAjax=1&limit=36 for x in links
print links
set df_total = call DataFrame
for category_l... | import pandas as pd
import requests
import bs4
from datetime import date
df = pd.read_csv('c:/pyprojects/dm/data/rm_links_to_brands2021-08-17.csv')
links = list(df.links)
links = [str(x) + '?isLayerAjax=1&limit=36' for x in links]
print(links)
df_total = pd.DataFrame()
for category_link in links:
print('#####... | Python | zaydzuhri_stack_edu_python |
function home request
begin
assert is instance request HttpRequest
return call render request string app/index.html dict string title string Home Page ; string year year
end function | def home(request):
assert isinstance(request, HttpRequest)
return render(
request,
'app/index.html',
{
'title':'Home Page',
'year':datetime.now().year,
}
) | Python | nomic_cornstack_python_v1 |
function ISetMin InterfaceItemPath MinValue
begin
pass
end function | def ISetMin(InterfaceItemPath, MinValue):
pass | Python | nomic_cornstack_python_v1 |
from typing import List
class Solution
begin
function maxSumAfterPartitioning self A K
begin
comment N = len(A)
comment dp = [0] * (N + 1)
comment for i in range(N):
comment curMax = 0
comment # 1, 2, 3
comment # dp=[1,30,45,...]
comment for k in range(1, min(K, i + 1) + 1):
comment # i = 3
comment # A[i-k+1] => A[3-1+... | from typing import List
class Solution:
def maxSumAfterPartitioning(self, A: List[int], K: int) -> int:
# N = len(A)
# dp = [0] * (N + 1)
# for i in range(N):
# curMax = 0
# # 1, 2, 3
# # dp=[1,30,45,...]
# for k in range(1, min(K,... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding=utf-8
from multiprocessing import Process
from multiprocessing import Pool
import os
import time
import random
comment Only works on Unix/Linux/Mac:
print string Process (%s) start... % call getpid
set pid = call fork
if pid == 0
begin
print string I am child process (%s) and... | #!/usr/bin/env python
# coding=utf-8
from multiprocessing import Process
from multiprocessing import Pool
import os
import time
import random
# Only works on Unix/Linux/Mac:
print('Process (%s) start...' % os.getpid())
pid = os.fork()
if pid == 0:
print('I am child process (%s) and my parent is %s.' % (os.getpid()... | Python | zaydzuhri_stack_edu_python |
function test_check_metadata_nameid_full_name
begin
set check = call CheckTester googlefonts_profile string com.google.fonts/check/metadata/nameid/full_name
set font = call TEST_FILE string merriweather/Merriweather-Regular.ttf
call assert_PASS call check font string with a good font...
comment here we change the font.... | def test_check_metadata_nameid_full_name():
check = CheckTester(googlefonts_profile,
"com.google.fonts/check/metadata/nameid/full_name")
font = TEST_FILE("merriweather/Merriweather-Regular.ttf")
assert_PASS(check(font),
'with a good font...')
# here we change t... | Python | nomic_cornstack_python_v1 |
function __init__ self file
begin
comment default params
set lonlat = none
set name = none
set map_zoom_level = none
set tags = list
set buildings = list
comment osm-based geometry is based on explicit lat, lon coordinates,
comment while geometry rendered from 3D creation software(i.e. blender) is based on relative [... | def __init__(self, file):
# default params
self.lonlat = None
self.name = None
self.map_zoom_level = None
self.tags = []
self.buildings = []
# osm-based geometry is based on explicit lat, lon coordinates,
# while geometry rendered... | Python | nomic_cornstack_python_v1 |
function test_04_verify_guest_lspci self
begin
if hypervisorNotSupported
begin
call skipTest string Hypervisor not supported
end
call verifyGuestState 3
end function | def test_04_verify_guest_lspci(self):
if self.hypervisorNotSupported:
self.skipTest("Hypervisor not supported")
self.verifyGuestState(3) | Python | nomic_cornstack_python_v1 |
function diff_lineMode self text1 text2 deadline
begin
string Do a quick line-level diff on both strings, then rediff the parts for greater accuracy. This speedup can produce non-minimal diffs. Args: text1: Old string to be diffed. text2: New string to be diffed. deadline: Time when the diff should be complete by. Retu... | def diff_lineMode(self, text1, text2, deadline):
"""Do a quick line-level diff on both strings, then rediff the parts for
greater accuracy.
This speedup can produce non-minimal diffs.
Args:
text1: Old string to be diffed.
text2: New string to be diffed.
deadline: Time when the dif... | Python | jtatman_500k |
function kptproj_prepare_vectors pt_locs pt_sizes pt_orientations
begin
comment project 3 pts:
comment center, center + (cos, sin), center + (sin, -cos)
comment measure angle and size
set pt_locs = reshape pt_locs tuple - 1 2
set pt_sizes = reshape pt_sizes tuple - 1 1
set pt_orientations = reshape pt_orientations tupl... | def kptproj_prepare_vectors(pt_locs, pt_sizes, pt_orientations):
# project 3 pts:
# center, center + (cos, sin), center + (sin, -cos)
# measure angle and size
pt_locs = pt_locs.reshape((-1, 2))
pt_sizes = pt_sizes.reshape((-1, 1))
pt_orientations = pt_orientations.reshape((-1, 1))
pt_count = pt_locs.shape[0]
... | Python | nomic_cornstack_python_v1 |
function set_primary_parameters self **kwargs
begin
string Set all primary parameters at once.
set given = sorted keys kwargs
set required = sorted _PRIMARY_PARAMETERS
if given == required
begin
for tuple key value in items kwargs
begin
set attribute self key value
end
end
else
begin
raise call ValueError string When p... | def set_primary_parameters(self, **kwargs):
"""Set all primary parameters at once."""
given = sorted(kwargs.keys())
required = sorted(self._PRIMARY_PARAMETERS)
if given == required:
for (key, value) in kwargs.items():
setattr(self, key, value)
else:
... | Python | jtatman_500k |
string Negatives, Zeros and Positives На вход программе подается натуральное число nn, а затем nn целых чисел. Напишите программу, которая сначала выводит все отрицательные числа, затем нули, а затем все положительные числа, каждое на отдельной строке. Числа должны быть выведены в том же порядке, в котором они были вве... | """
Negatives, Zeros and Positives
На вход программе подается натуральное число nn, а затем nn целых чисел. Напишите программу, которая сначала выводит все отрицательные числа, затем нули, а затем все положительные числа, каждое на отдельной строке. Числа должны быть выведены в том же порядке, в котором они были введен... | Python | zaydzuhri_stack_edu_python |
import datetime
import numpy as np
import pandas as pd
import scipy.optimize as optimize
import matplotlib.pyplot as plt
set returns_sheet = drop call read_excel string data_Ass1_G2.xlsx sheet_name=string Returns string month 1
set BM_sheet = drop call read_excel string data_Ass1_G2.xlsx sheet_name=string BM string mon... | import datetime
import numpy as np
import pandas as pd
import scipy.optimize as optimize
import matplotlib.pyplot as plt
returns_sheet = pd.read_excel('data_Ass1_G2.xlsx', sheet_name='Returns').drop('month', 1)
BM_sheet = pd.read_excel('data_Ass1_G2.xlsx', sheet_name='BM').drop('month', 1)
# start is the first peri... | Python | zaydzuhri_stack_edu_python |
async function Pulse_Lights
begin
call apply_effect_to_light ALL_LIGHTS pulse
return dict string action string effect ; string name string pulse ; string light_id string all ; string color string red
end function | async def Pulse_Lights():
busylightapi.manager.apply_effect_to_light(ALL_LIGHTS, pulse)
return {
"action": "effect",
"name": "pulse",
"light_id": "all",
"color": "red",
} | Python | nomic_cornstack_python_v1 |
import torch
import torch.nn as nn
class LayeredLSTM extends Module
begin
function __init__ self input_size hidden_size num_layers=1 norm_lstm=true
begin
call __init__
set i_s = input_size
set h_s = hidden_size
set n_layers = num_layers
set hidden_states = list comprehension none for _ in range n_layers
set cell_states... | import torch
import torch.nn as nn
class LayeredLSTM(nn.Module):
def __init__(self, input_size, hidden_size, num_layers=1, norm_lstm=True):
super(LayeredLSTM, self).__init__()
self.i_s = input_size
self.h_s = hidden_size
self.n_layers = num_layers
self.hidden_states = [No... | Python | zaydzuhri_stack_edu_python |
function test_get_pages self
begin
comment We'll ask for the last page of single-entry pages.
set expected_rows = count filter hidden=false
if expected_rows > 10
begin
set expected_rows = 10
end
set expected_prev = expected_rows - 1
set token = call create_and_login
set response = get client SEARCH_URL + string ?page_s... | def test_get_pages(self):
# We'll ask for the last page of single-entry pages.
expected_rows = SavedSearch.objects.filter(hidden=False).count()
if expected_rows > 10:
expected_rows = 10
expected_prev = expected_rows - 1
token = create_and_login()
response ... | Python | nomic_cornstack_python_v1 |
string Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it is able to trap after raining. The above elevation map is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped. Thanks Marcos for... | """
Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it is able to trap after raining.
The above elevation map is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped. Thanks Marcos for co... | Python | zaydzuhri_stack_edu_python |
from set import card , third_card_in_game_set , third_property , game_sets_on_table
from nose.tools import assert_equal , assert_raises
function test_card_works
begin
call assert_equal call card string 1GDE tuple string 1 string G string D string E
end function
function test_card_ordering
begin
call assert_equal call c... | from set import (
card,
third_card_in_game_set,
third_property,
game_sets_on_table
)
from nose.tools import assert_equal, assert_raises
def test_card_works():
assert_equal(card('1GDE'), ('1', 'G', 'D', 'E'))
def test_card_ordering():
assert_equal(card('EDG1'), ('1', 'G', 'D', 'E'))
def tes... | Python | zaydzuhri_stack_edu_python |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.