code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function __eq__ self other
begin
if not is instance other QualityAssuranceChecksDto
begin
return false
end
return __dict__ == __dict__
end function | def __eq__(self, other):
if not isinstance(other, QualityAssuranceChecksDto):
return False
return self.__dict__ == other.__dict__ | Python | nomic_cornstack_python_v1 |
function plot_multiplicity_hist multiplicity ax=none outfile=none quartils=false **kwargs
begin
from matplotlib.ticker import MaxNLocator
set ax = if expression ax is none then call gca else ax
call set_visible false
call set_visible false
set m = sort np multiplicity
set xmin = min
set xmax = max
if string label not i... | def plot_multiplicity_hist(multiplicity, ax=None, outfile=None, quartils=False, **kwargs):
from matplotlib.ticker import MaxNLocator
ax = plt.gca() if ax is None else ax
ax.spines["top"].set_visible(False)
ax.spines["right"].set_visible(False)
m = np.sort(multiplicity)
xmin = multiplicity.min(... | Python | nomic_cornstack_python_v1 |
function connect
begin
set scope = list string https://spreadsheets.google.com/feeds string https://www.googleapis.com/auth/drive
set creds = call from_json_keyfile_name string client_secret.json scope
set client = call authorize creds
return client
end function | def connect():
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
creds = ServiceAccountCredentials.from_json_keyfile_name(
'client_secret.json', scope)
client = gspread.authorize(creds)
return client | Python | nomic_cornstack_python_v1 |
string author: roberto.polli@par-tec.it This class tests the SFTP Volume access. To access: - the container jboss63 - with the volumes "/shared", "/var/log" # sftp -P 10022 jboss63@localhost # no password for now # pwd / # ls /shared /var
from dockerdns.sftp import unix
from twisted.python import log
from nose.tools im... | """
author: roberto.polli@par-tec.it
This class tests the SFTP Volume access.
To access:
- the container jboss63
- with the volumes "/shared", "/var/log"
# sftp -P 10022 jboss63@localhost # no password for now
# pwd
/
# ls
/shared
/var
"""
from dockerdns.sftp impo... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment Matthew Page CSCS1240 Spring 2014
comment attempting to work through the recurring problem I have on my one desktop
comment to create a programming solution that has a script that checks local IP address
comment of the machine and compares it with router settings for ssh port forwar... | #!/usr/bin/env python
# Matthew Page CSCS1240 Spring 2014
# attempting to work through the recurring problem I have on my one desktop
# to create a programming solution that has a script that checks local IP address
# of the machine and compares it with router settings for ssh port forward for
# given local IP address,... | Python | zaydzuhri_stack_edu_python |
import random
comment 定义fight函数实现游戏逻辑
function fight enemy_hp enemy_power
begin
set my_hp = 1000
set my_power = 200
comment 敌人的血量和攻击力
print string 敌人的血量 { enemy_hp } ,攻击力为 { enemy_power }
comment 加入循环，游戏进行多轮
while true
begin
set my_hp = my_hp - enemy_power
set enemy_hp = enemy_hp - my_power
comment 判断谁的血量小于等于0
if my_hp... | import random
# 定义fight函数实现游戏逻辑
def fight(enemy_hp,enemy_power):
my_hp = 1000
my_power = 200
# 敌人的血量和攻击力
print(f"敌人的血量{enemy_hp},攻击力为{enemy_power}")
# 加入循环，游戏进行多轮
while True:
my_hp = my_hp - enemy_power
enemy_hp = enemy_hp - my_power
#判断谁的血量小于等于0
if my_hp <= 0:
... | Python | zaydzuhri_stack_edu_python |
set num = integer input string
set dup = num
set sum = 0
while num > 0
begin
set sum = sum + 1
set num = num // 10
end
print sum | num=int(input(""))
dup=num
sum=0
while(num>0):
sum=sum+1
num=num//10
print(sum)
| Python | zaydzuhri_stack_edu_python |
function recentered_at image x y
begin
return call centered_at image array tuple x y call get_image_rect image
end function | def recentered_at(image, x, y):
return centered_at(
image,
numpy.array((x, y)),
get_image_rect(image)) | Python | nomic_cornstack_python_v1 |
function two_sum arr k
begin
comment Store unique elements and also provide O(1) contains check.
set hm = set arr
for e in arr
begin
if k - e in hm
begin
return true
end
end
return false
end function | def two_sum(arr: list, k: int) -> bool:
hm = set(arr) # Store unique elements and also provide O(1) contains check.
for e in arr:
if k - e in hm:
return True
return False | Python | nomic_cornstack_python_v1 |
comment !pip3 install --upgrade tensorflow
comment alternatively in the terminal:
comment python3 -m pip install --upgrade tensorflow
import tensorflow as tf
__version__
comment Create some nonlinear toy data.
import matplotlib.pyplot as plt
import numpy as np
set ct = ones 20
comment variable, 20 rows
set X1 = call no... | #!pip3 install --upgrade tensorflow
#alternatively in the terminal:
#python3 -m pip install --upgrade tensorflow
import tensorflow as tf
tf.__version__
#############################################
#Create some nonlinear toy data.
import matplotlib.pyplot as plt
import numpy as np
ct = np.ones(20)
X1 = np.random.nor... | Python | zaydzuhri_stack_edu_python |
comment 整数NをK進数に変換し、その桁数を出力する
set result = string
set i = 0
set k = 0
while T != 0
begin
set result = string T % K + result
set T = T // K
end
print length result | # 整数NをK進数に変換し、その桁数を出力する
result = ""
i = 0
k = 0
while (T != 0):
result = str(T%K)+result
T = T//K
print (len(result))
| Python | zaydzuhri_stack_edu_python |
string Class that helps with pulling the request from the given URL Used to fetch the HTML
import requests
class HTMLFetcher
begin
function __init__ self
begin
pass
end function
decorator staticmethod
function get_from_url url
begin
set req = get requests url
return text
end function
end class | """
Class that helps with pulling the request from the given URL
Used to fetch the HTML
"""
import requests
class HTMLFetcher:
def __init__(self):
pass
@staticmethod
def get_from_url(url):
req = requests.get(url)
return req.text
| Python | zaydzuhri_stack_edu_python |
import sys
function main
begin
set temp = list
with open argv at 1 as input
begin
for line in input
begin
set data = split line string
append temp data
end
end
comment use this part first
comment f=open('final-peaks-no-offtargets.txt', 'w')
comment f3=open('off-target-peaks.txt', 'w')
comment for x in range(0, len(tem... | import sys
def main():
temp=[]
with open(sys.argv[1]) as input:
for line in input:
data=line.split('\t')
temp.append(data)
#use this part first
#f=open('final-peaks-no-offtargets.txt', 'w')
#f3=open('off-target-peaks.txt', 'w')
#for x in range(0, len(temp)):
# if temp[x][4]=='FALSE\n':
# for i in r... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
call set_style string darkgrid
print string Importing Covid Conf Analysis
set URL = string https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confir... | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set_style('darkgrid')
print('Importing Covid Conf Analysis')
URL = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv'
REC... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import matplotlib.pyplot as plt
function generate n
begin
set x = random integer 2 size=n
set a = cumulative sum np x + random integer 2 size=n
set w = call mod x + call floor_divide random integer 3 size=n 2 2
return tuple x a w
end function
function guess a w=none lookahead=10
begin
set n = length ... | import numpy as np
import matplotlib.pyplot as plt
def generate(n):
x = np.random.randint(2, size=n)
a = np.cumsum(x) + np.random.randint(2, size=n)
w = np.mod(x + np.floor_divide(np.random.randint(3, size=n), 2), 2)
return x, a, w
def guess(a, w=None, lookahead=10):
n = len(a)
x_ = np.zeros... | Python | zaydzuhri_stack_edu_python |
comment BOLETA DE VENTA MERCADO SANTA ANITA
import os
set carne = argv at 1
set P_U = decimal argv at 2
set unidad_1 = integer argv at 3
set TOTAL = P_U * unidad_1
print string ############################################### #
print string # MERCADO ´´SANTA ANITA´´ #
print string #
print string # TIPO DE CARNE: + carne... | # BOLETA DE VENTA MERCADO SANTA ANITA
import os
carne =(os.sys.argv[1])
P_U = float(os.sys.argv[2])
unidad_1 = int(os.sys.argv[3])
TOTAL = P_U * unidad_1
print ( " ############################################### # " )
print ( " # MERCADO ´´SANTA ANITA´´ # " )
print ( " # " )
print ( " # TIPO DE CARNE: " ... | Python | zaydzuhri_stack_edu_python |
function improve_policy self num_improvements
begin
set policy = call get_policy
set batch_size = config at string train_batch_size
set env_batch_size = integer batch_size * config at string real_data_ratio
set model_batch_size = batch_size - env_batch_size
set stats = dict
for _ in range num_improvements
begin
set sa... | def improve_policy(self, num_improvements: int) -> Dict[str, float]:
policy = self.get_policy()
batch_size = self.config["train_batch_size"]
env_batch_size = int(batch_size * self.config["real_data_ratio"])
model_batch_size = batch_size - env_batch_size
stats = {}
for _ ... | Python | nomic_cornstack_python_v1 |
while true
begin
set choice = input string 메뉴를 입력하세요 :
if choice in menu
begin
set price = menu at choice
print choice + string 는 + string price + string 원 입니다.
end
else
begin
print choice + string 메뉴는 없습니다
end
end | while True:
choice= input("메뉴를 입력하세요 : ")
if choice in menu:
price = menu[choice]
print(choice + "는 " + str(price) + "원 입니다.")
else:
print(choice + " 메뉴는 없습니다") | Python | zaydzuhri_stack_edu_python |
function publish_data_to_predictorqueue self data
begin
set response = none
set corr_id = string uuid 4
call basic_publish exchange=string routing_key=string Predictor properties=call BasicProperties reply_to=callback_queue correlation_id=corr_id body=data
while response is none
begin
call process_data_events
end
retu... | def publish_data_to_predictorqueue(self, data):
self.response = None
self.corr_id = str(uuid.uuid4())
self.channel.basic_publish(
exchange='',
routing_key='Predictor',
properties=pika.BasicProperties(
reply_to=self.callback_queue,
... | Python | nomic_cornstack_python_v1 |
function Display self unused_args result
begin
call PrettyPrint result
end function | def Display(self, unused_args, result):
util.PrettyPrint(result) | Python | nomic_cornstack_python_v1 |
function sendMessage self message timeout=0.1
begin
comment flush the read buffer first
comment read as many chars as are in the buffer
set prevOut = read com call inWaiting
end function | def sendMessage(self, message, timeout=0.1):
#flush the read buffer first
prevOut = self.com.read(self.com.inWaiting())#read as many chars as are in the buffer | Python | nomic_cornstack_python_v1 |
function _add_to_dict t container name value
begin
if name in container
begin
raise exception string %s '%s' already exists % tuple t name
end
else
begin
set container at name = value
end
end function | def _add_to_dict(t, container, name, value):
if name in container:
raise Exception("%s '%s' already exists" % (t, name))
else:
container[name] = value | Python | nomic_cornstack_python_v1 |
function compare_averages filename
begin
set df = read csv filename
set df = df at list string name string handedness string avg
comment because count() does not count NaN-s
comment print(df["handedness"].count())
set df at string handedness = replace df at string handedness string NaN
drop missing df axis=0 subset=li... | def compare_averages(filename):
df = pandas.read_csv(filename)
df = df[["name","handedness","avg"]]
#because count() does not count NaN-s
#print(df["handedness"].count())
df["handedness"] = df["handedness"].replace("", numpy.NaN)
df.dropna(axis = 0, subset=["handedness"],inplace=True)
r... | Python | nomic_cornstack_python_v1 |
try
begin
from matplotlib import pyplot as plt
end
except Exception as mnfe
begin
print mnfe
exit
end
set DEBUG = false
if DEBUG
begin
from numpy import arange
from math import sin
end
class Graphics
begin
function __init__ self
begin
set style = list string r string g string b string r-- string g-- string b-- string r... | try:
from matplotlib import pyplot as plt
except Exception as mnfe:
print(mnfe)
exit()
DEBUG = False
if DEBUG:
from numpy import arange
from math import sin
class Graphics:
def __init__(self):
self.style = [ 'r', 'g', 'b', 'r--', 'g--', 'b--', 'r:', 'g:', 'b:']
def draw(self,... | Python | zaydzuhri_stack_edu_python |
function test_valid_validatefile syn genie_config
begin
set validation_statusdf = call DataFrame
set error_trackerdf = call DataFrame
set entity = call Entity name=string data_clinical_supp_SAGE.txt id=string syn1234 md5=string 44444 path=string /path/to/data_clinical_supp_SAGE.txt
set entity at string modifiedOn = str... | def test_valid_validatefile(syn, genie_config):
validation_statusdf = pd.DataFrame()
error_trackerdf = pd.DataFrame()
entity = synapseclient.Entity(
name="data_clinical_supp_SAGE.txt",
id="syn1234",
md5="44444",
path="/path/to/data_clinical_supp_SAGE.txt",
)
entity["m... | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
function image_feature_extract frame blur_flag feature_enhance_flag
begin
set blur = call cvtColor frame COLOR_BGR2GRAY
if blur_flag
begin
set blur = call GaussianBlur blur tuple 3 3 0
end
set lower = array list 0 0 0
set upper = array list 254 254 254
set mask = call inRange frame lower u... | import cv2
import numpy as np
def image_feature_extract(frame, blur_flag, feature_enhance_flag):
blur = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
if blur_flag:
blur = cv2.GaussianBlur(blur, (3, 3), 0)
lower = np.array([0, 0, 0])
upper = np.array([254, 254, 254])
mask = cv2.inRa... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string 383 Necklace Matching -- Bonus 2 Got the idea to _canonicalize_ from `skeeto`, who did it in Golang.
from __future__ import print_function
from sys import argv
function canonicalize s
begin
set strlen = length s
set t = s * 2
for i in range 1 strlen
beg... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
383 Necklace Matching -- Bonus 2
Got the idea to _canonicalize_ from `skeeto`, who did it in Golang.
"""
from __future__ import print_function
from sys import argv
def canonicalize(s):
strlen = len(s)
t = s*2
for i in range(1,strlen):
if s > t[i:(... | Python | zaydzuhri_stack_edu_python |
import math
print square root 4
from math import sqrt
print square root 4 | import math
print(math.sqrt(4))
from math import sqrt
print(sqrt(4))
| Python | zaydzuhri_stack_edu_python |
function print_word_likelihood_report ref lls bucket_type=string freq bucket_cutoffs=none freq_count_file=none freq_corpus_file=none label_corpus=none label_set=none case_insensitive=false
begin
set case_insensitive = if expression case_insensitive == string True then true else false
set bucketer = call create_word_buc... | def print_word_likelihood_report(ref, lls, bucket_type='freq', bucket_cutoffs=None,
freq_count_file=None, freq_corpus_file=None,
label_corpus=None, label_set=None,
case_insensitive=False):
case_insensitive = True if case_insensitive == 'Tru... | Python | nomic_cornstack_python_v1 |
function read self pin name=none
begin
import RPi.GPIO as GPIO
call _init_board
set name = name or pin
set pin = call _get_pin_number pin
if pin not in _initialized_pins
begin
setup GPIO pin IN
set _initialized_pins at pin = IN
end
set val = input pin
return dict string name name ; string pin pin ; string value val ; s... | def read(self, pin: Union[int, str], name: Optional[str] = None) -> Dict[str, Any]:
import RPi.GPIO as GPIO
self._init_board()
name = name or pin
pin = self._get_pin_number(pin)
if pin not in self._initialized_pins:
GPIO.setup(pin, GPIO.IN)
self._initia... | Python | nomic_cornstack_python_v1 |
function _min_distance segments shapelet
begin
set J = length segments
set distances = zeros J
for j in range J
begin
set distances at j = sum segments at j - shapelet ^ 2
end
return min distances
end function | def _min_distance(segments, shapelet):
J = len(segments)
distances = np.zeros(J)
for j in range(J):
distances[j] = sum((segments[j]-shapelet) ** 2)
return min(distances) | Python | nomic_cornstack_python_v1 |
function strtodatetime isostr
begin
set tuple left dot fraction = call partition string .
set dt = string parse time left string %Y-%m-%dT%H:%M:%S
set dt = replace dt tzinfo=UTC
return dt
end function | def strtodatetime(isostr):
left, dot, fraction = isostr.partition('.')
dt = datetime.datetime.strptime(left, "%Y-%m-%dT%H:%M:%S")
dt = dt.replace(tzinfo=pytz.UTC)
return dt | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Spyder Editor This is a temporary script file.
import cv2
import numpy as np
function image_resize image_name width=1500 height=1500 inter=INTER_AREA
begin
set image = call imread image_name 0
set dim = none
set tuple h w = shape at slice : 2 :
if width is none and height is none
... | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import cv2
import numpy as np
def image_resize(image_name, width = 1500, height = 1500, inter = cv2.INTER_AREA):
image= cv2.imread(image_name,0)
dim = None
(h, w) = image.shape[:2]
if width is None and height is None:
... | Python | zaydzuhri_stack_edu_python |
import tushare as ts
import pymysql
set token = string 39eb03a5cc204699bd6338d9ae4cd1d11289f653ddfe4dd061c5c363
set pro = call pro_api token
set stock_exchange = list string SSE string SZSE
set data = list
for exchange in stock_exchange
begin
set df = call trade_cal exchange=exchange start_date=string 2020101 end_date... | import tushare as ts
import pymysql
token = '39eb03a5cc204699bd6338d9ae4cd1d11289f653ddfe4dd061c5c363'
pro = ts.pro_api(token)
stock_exchange = ['SSE', 'SZSE']
data = []
for exchange in stock_exchange:
df = pro.trade_cal(exchange=exchange, start_date='2020101', end_date='20210101')
data.append(df)
conn = pymy... | Python | zaydzuhri_stack_edu_python |
function get_batch self batch_size=10
begin
set start = end
set start = start
set end = min start + batch_size num_samples
set eff_batch = end - start
if end >= num_samples
begin
set end = 0
end
set end = end
set data_out_lst = list
set latent_net_ids = list
for i in range eff_batch
begin
append data_out_lst data_lst... | def get_batch(self, batch_size=10):
self.start = self.end
start = self.start
end = min(start + batch_size, self.num_samples)
eff_batch = end - start
if end >= self.num_samples:
end = 0
self.end = end
data_out_lst = []
latent_net_ids = []
... | Python | nomic_cornstack_python_v1 |
function compute_uncertainty self y
begin
return variance np y
end function | def compute_uncertainty(self, y):
return np.var(y) | Python | nomic_cornstack_python_v1 |
function _process_clashes self sites_cart fsc0
begin
set clashes_to_be_removed = list
for tuple i_seq j_seq_list in call iteritems _mult_clash_dict
begin
set n_multiples = length j_seq_list
if n_multiples <= 1
begin
continue
end
for i in range n_multiples - 1
begin
for j in range i + 1 n_multiples
begin
set multiple_1 ... | def _process_clashes(self, sites_cart, fsc0):
clashes_to_be_removed = list()
for i_seq, j_seq_list in six.iteritems(self._mult_clash_dict):
n_multiples = len(j_seq_list)
if n_multiples <= 1: continue
for i in range(n_multiples-1):
for j in range(i+1, n_multiples):
multiple_1 ... | Python | nomic_cornstack_python_v1 |
string Price a European option by the implicit method of finite difference
import numpy as np
import scipy.linalg as linalg
from FDExplicitEu import FDExplicitEu
class FDImplicitEu extends FDExplicitEu
begin
function _setup_coefficients_ self
begin
set a = 0.5 * r * dt * i_values - sigma ^ 2 * dt * i_values ^ 2
set b =... | """Price a European option by the implicit method of finite difference"""
import numpy as np
import scipy.linalg as linalg
from FDExplicitEu import FDExplicitEu
class FDImplicitEu(FDExplicitEu):
def _setup_coefficients_(self):
self.a=0.5*(self.r*self.dt*self.i_values-
(self.... | Python | zaydzuhri_stack_edu_python |
set baseUrl = string www.example.com
set product = string apple
set url = baseUrl + string /product/ + product
print url | baseUrl = "www.example.com"
product = "apple"
url = baseUrl + "/product/" + product
print(url)
| Python | greatdarklord_python_dataset |
import arcpy
import os
from collections import OrderedDict
comment Helper functions that are shared by the various types of K functions.
class KFunctionHelper extends object
begin
comment Initialize the helper class.
function __init__ self
begin
set permutations = ordered dictionary list tuple string 0 Permutations (No... | import arcpy
import os
from collections import OrderedDict
###
# Helper functions that are shared by the various types of K functions.
###
class KFunctionHelper(object):
###
# Initialize the helper class.
###
def __init__(self):
self.permutations = OrderedDict([
("0 Permutations (No Co... | Python | zaydzuhri_stack_edu_python |
function loadConfiguration conf
begin
set config = config parser
read config conf
comment Validate contents
if string general not in config
begin
error string No general section in the configuration file.
end
if string distribution not in config at string general
begin
error string No distribution function set in the c... | def loadConfiguration(conf):
config = configparser.ConfigParser()
config.read(conf)
# Validate contents
if 'general' not in config:
smutil.error("No general section in the configuration file.")
if 'distribution' not in config['general']:
smutil.error("No distribution function set in... | Python | nomic_cornstack_python_v1 |
import torch
import unittest
from CNN import Conv , AvgPool
from OtherLayers import BatchNorm2d
set RANDOM_SEED = 1
class TestLayers extends TestCase
begin
string Класс для тестирования целевых для этого задания модулей.
decorator staticmethod
function _generate_test_data shape minval=- 10 maxval=10
begin
string Генери... | import torch
import unittest
from CNN import Conv, AvgPool
from OtherLayers import BatchNorm2d
RANDOM_SEED = 1
class TestLayers(unittest.TestCase):
"""Класс для тестирования целевых для этого задания модулей."""
@staticmethod
def _generate_test_data(shape, minval=-10, maxval=10):
"""Генерирует ... | Python | zaydzuhri_stack_edu_python |
function collate_fn batch
begin
set tuple img label shapes = zip *batch
for tuple i l in enumerate label
begin
comment add target image index for build_targets()
set l at tuple slice : : 0 = i
end
return tuple stack img 0 call cat label 0 shapes
end function | def collate_fn(batch):
img, label, shapes = zip(*batch)
for i, l in enumerate(label):
l[:, 0] = i # add target image index for build_targets()
return torch.stack(img, 0), torch.cat(label, 0), shapes | Python | nomic_cornstack_python_v1 |
from __future__ import absolute_import
from __future__ import print_function
from callbacks import supports_callbacks
function print_one
begin
print string 1
end function
function print_a
begin
print string a
end function
function print_foo
begin
print string foo
end function
function print_bar
begin
print string bar
e... | from __future__ import absolute_import
from __future__ import print_function
from callbacks import supports_callbacks
def print_one():
print("1")
def print_a():
print("a")
def print_foo():
print('foo')
def print_bar():
print('bar')
@supports_callbacks
def target():
pass
target.add_callback(pr... | Python | zaydzuhri_stack_edu_python |
function rpc_login username password
begin
if not username and not password
begin
return false
end
else
begin
set validate_user = call validate_username username
set validate_bt = call validate_to_biomedtown username password
if validate_bt is false
begin
return false
end
else
begin
if validate_user is not true
begin
s... | def rpc_login(username, password):
if not username and not password:
return False
else:
validate_user = validate_username(username)
validate_bt = validate_to_biomedtown(username, password)
if validate_bt is False:
return False
else:
if validate_... | Python | nomic_cornstack_python_v1 |
import time
set start_time = time
function my_sieve n
begin
set dumb_list = range 0 n
set limit = integer n ^ 0.5
for i in call xrange 2 limit
begin
if dumb_list at i
begin
set dumb = n - 1 / i - 1
set dumb_list at slice i + i : : i = list 0 * dumb
end
end
return filter none dumb_list
end function
set list_prime = cal... | import time
start_time = time.time()
def my_sieve(n):
dumb_list = range(0, n)
limit = int(n ** 0.5)
for i in xrange(2, limit):
if dumb_list[i]:
dumb = (n - 1) / i - 1
dumb_list[i + i :: i] = [0] * dumb
return filter(None, dumb_list)
list_prime = my_sieve(1000)
def factorize(number, dumb_list):
dumb =... | Python | zaydzuhri_stack_edu_python |
import requests
from bs4 import BeautifulSoup
set tuple queue visited = tuple list list | import requests
from bs4 import BeautifulSoup
queue, visited = [], [] | Python | iamtarun_python_18k_alpaca |
function test_update_existing_dotted_a_record_succeeds shared_zone_test_context
begin
set client = ok_vinyldns_client
set zone = ok_zone
set recordsets = call list_recordsets_by_zone zone at string id record_name_filter=string dotted.a status=200 at string recordSets
set update_rs = recordsets at 0
set update_rs at str... | def test_update_existing_dotted_a_record_succeeds(shared_zone_test_context):
client = shared_zone_test_context.ok_vinyldns_client
zone = shared_zone_test_context.ok_zone
recordsets = client.list_recordsets_by_zone(zone["id"], record_name_filter="dotted.a", status=200)["recordSets"]
update_rs = recordse... | Python | nomic_cornstack_python_v1 |
import os
function mult a b
begin
set l = length a
comment recursion end at 16 bit (2 bytes)
if l == 2
begin
set result = call to_bytes 4 byteorder=string big
return result
end
set ah = a at slice 0 : integer l / 2 :
set al = a at slice integer l / 2 : l :
set bh = b at slice 0 : integer l / 2 :
set bl = b at slice ... | import os
def mult(a, b):
l = len(a)
# recursion end at 16 bit (2 bytes)
if (l == 2):
result = (int.from_bytes(a, byteorder = 'big')*int.from_bytes(b, byteorder = 'big')).to_bytes(4, byteorder = 'big')
return result
ah = a[0:int(l/2)]
al = a[int(l/2): l]
bh = b[0:int(l/2)]
... | Python | zaydzuhri_stack_edu_python |
import tkinter as tk
from tkinter import *
import datetime
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from fractions import Fraction
from tkinter import Listbox
import tkinter
import matplotlib
from tkinter import messagebox
call use string TkAgg
from matplotlib.backends.backend_tkagg import... | import tkinter as tk
from tkinter import *
import datetime
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from fractions import Fraction
from tkinter import Listbox
import tkinter
import matplotlib
from tkinter import messagebox
matplotlib.use('TkAgg')
from matplotlib.backends.backen... | Python | zaydzuhri_stack_edu_python |
string a ideia e calcular quanto vai sobrar no fim do mes
print salario - despesas
print string fim de verdade | """
a ideia e calcular quanto vai sobrar no fim do mes
"""
print (salario - despesas)
print ('fim de verdade')
| Python | zaydzuhri_stack_edu_python |
from Parser import *
from Node import *
class KnowledgeBase
begin
string Knowledge base that stores information in propositional logic
function __init__ self
begin
set clauses = list
set parser = call Parser
end function
function feed_sentence self data
begin
set sentence = process data
append clauses sentence
end fun... | from Parser import *
from Node import *
class KnowledgeBase:
"""
Knowledge base that stores information in propositional logic
"""
def __init__(self):
self.clauses = []
self.parser = Parser()
def feed_sentence(self, data):
sentence = self.parser.process(data)
self.c... | Python | zaydzuhri_stack_edu_python |
function even_odd n
begin
if n % 2 == 0
begin
return true
end
else
begin
return false
end
end function | def even_odd(n):
if n % 2 == 0:
return True
else:
return False | Python | iamtarun_python_18k_alpaca |
string Title: Object Detection with RetinaNet Author: [Srihari Humbarwadi](https://twitter.com/srihari_rh) Date created: 2020/05/17 Last modified: 2020/07/14 Description: Implementing RetinaNet: Focal Loss for Dense Object Detection.
string ## Introduction Object detection a very important problem in computer vision. H... | """
Title: Object Detection with RetinaNet
Author: [Srihari Humbarwadi](https://twitter.com/srihari_rh)
Date created: 2020/05/17
Last modified: 2020/07/14
Description: Implementing RetinaNet: Focal Loss for Dense Object Detection.
"""
"""
## Introduction
Object detection a very important problem in computer
vision. H... | Python | zaydzuhri_stack_edu_python |
from django.utils.translation import ugettext_lazy as _ , ugettext
import xlwt
function get_styles
begin
set bold = call easyfont string bold true, height 220, name Helvetica Neue
set brown = call easyfont string color_index brown, name Helvetica Neue, height 220
set italic = call easyfont string color_index gray50, it... | from django.utils.translation import ugettext_lazy as _, ugettext
import xlwt
def get_styles():
bold = xlwt.easyfont('bold true, height 220, name Helvetica Neue')
brown = xlwt.easyfont('color_index brown, name Helvetica Neue, height 220')
italic = xlwt.easyfont('color_index gray50, italic true, name Helve... | Python | zaydzuhri_stack_edu_python |
function today tz=none
begin
return call date
end function | def today(tz=None):
return now(tz=tz).date() | Python | nomic_cornstack_python_v1 |
function storage_encrypted self
begin
return get pulumi self string storage_encrypted
end function | def storage_encrypted(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "storage_encrypted") | Python | nomic_cornstack_python_v1 |
function _define_decoder self
begin
raise NotImplementedError
end function | def _define_decoder(self):
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
class Laboratorio
begin
function __init__ self numero horario dia nmonitores
begin
set numero = numero
set monitores = list numero
set horario = horario
set dia = dia
set nmonitores = nmonitores
end function
function adicionamonitor self monitor
begin
append monitores monitor
end function
end class | class Laboratorio:
def __init__(self, numero, horario, dia, nmonitores):
self.numero = numero
self.monitores = [numero]
self.horario = horario
self.dia = dia
self.nmonitores = nmonitores
def adicionamonitor(self,monitor):
self.... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import csv
function read_paper txt_name
begin
set f = open txt_name
set entry = dict
set paper_time_dict = dict
set count = 0
while true
begin
set line = read line f
if line == string
begin
set author_set = split author_set string ,
set entry at paper_index = author_set
set paper_time_dict at pape... | import numpy as np
import csv
def read_paper(txt_name):
f = open(txt_name)
entry = {}
paper_time_dict = {}
count = 0
while True:
line = f.readline()
if line == '\n':
author_set = author_set.split(',')
entry[paper_index] = author_set
paper_time_di... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
import sys
function solve N
begin
set l = length string N
set k = dict
for i in range 1 10
begin
for j in range 1 10
begin
set k at string i + string j = 0
end
end
for x in range 1 N + 1
begin
set s = string x
if s at - 1 != string 0
begin
set k at s at 0 + s at - 1 = k at s at 0 + s at -... | #!/usr/bin/env python3
import sys
def solve(N: int):
l = len(str(N))
k = {}
for i in range(1,10):
for j in range(1,10):
k[str(i)+str(j)] = 0
for x in range(1, N+1):
s = str(x)
if s[-1] != "0":
k[s[0]+s[-1]] += 1
k_new = {}
for i in range(1,10):
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import matplotlib.pyplot as plt
comment has m=442 sample stars with X and Y coordinates given n=2 labels, or features
set dataset = call genfromtxt string dataset_LATTE.txt
set features = dataset at tuple slice : : slice : 2 :
set m = shape at 0
set n = shape at 0
comment feature scaling
functio... | import numpy as np
import matplotlib.pyplot as plt
# has m=442 sample stars with X and Y coordinates given n=2 labels, or features
dataset=np.genfromtxt("dataset_LATTE.txt")
features=dataset[:,:2]
m=features.shape[0]
n=features[0].shape[0]
#feature scaling
def rescale(x):
return (x-np.mean(x))/np.std(x)
r... | Python | zaydzuhri_stack_edu_python |
function calculate_total_paintings
begin
comment Existing paintings
set philip_existing_paintings = 20
set amelia_existing_paintings = 45
comment Number of weeks
set weeks = 5
comment Calculate Philip's weekly output
comment (Mon + Tue) + (Wed) + (Thu + Fri)
set philip_weekly_paintings = 3 * 2 + 2 + 5 * 2
comment Total... | def calculate_total_paintings():
# Existing paintings
philip_existing_paintings = 20
amelia_existing_paintings = 45
# Number of weeks
weeks = 5
# Calculate Philip's weekly output
philip_weekly_paintings = (3 * 2) + 2 + (5 * 2) # (Mon + Tue) + (Wed) + (Thu + Fri)
# Total p... | Python | dbands_pythonMath |
function bubble_sort_descending arr
begin
set n = length arr
for i in range n
begin
for j in range 0 n - i - 1
begin
if arr at j < arr at j + 1
begin
set tuple arr at j arr at j + 1 = tuple arr at j + 1 arr at j
end
end
end
end function
comment Test the function
set lst = list 5 10 3 8 1 7 2 9 4 6
call bubble_sort_desc... | def bubble_sort_descending(arr):
n = len(arr)
for i in range(n):
for j in range(0, n-i-1):
if arr[j] < arr[j+1]:
arr[j], arr[j+1] = arr[j+1], arr[j]
# Test the function
lst = [5, 10, 3, 8, 1, 7, 2, 9, 4, 6]
bubble_sort_descending(lst)
print(lst) # Output: [10, 9, 8, 7, 6, 5... | Python | jtatman_500k |
function sample_until_unique self sampleFromSeq sampleLim=integer 1000000.0
begin
comment NOTE: If 'sampleLim' is set to 'infty' , the result may be an infinite loop if the Counter has a key for each 'sampleFromSeq'
set trial = 1
while trial <= sampleLim
begin
set testKey = random choice sampleFromSeq
if self at testKe... | def sample_until_unique( self , sampleFromSeq , sampleLim = int( 1e6 ) ):
# NOTE: If 'sampleLim' is set to 'infty' , the result may be an infinite loop if the Counter has a key for each 'sampleFromSeq'
trial = 1
while( trial <= sampleLim ):
testKey = choice( sampleFromSeq )
... | Python | nomic_cornstack_python_v1 |
function residue_subsystem
begin
set net = call residue_network
set state = tuple 0 0 0 0 0
return call Subsystem net state
end function | def residue_subsystem():
net = residue_network()
state = (0, 0, 0, 0, 0)
return Subsystem(net, state) | Python | nomic_cornstack_python_v1 |
comment -> DemezKeyValue:
function AddItemSingle self key value=string
begin
set sub_dkv = call GetItem key
if not sub_dkv
begin
set sub_dkv = call DemezKeyValue self key value file_path=file_path
append value sub_dkv
end
else
begin
set value = value
end
return sub_dkv
end function | def AddItemSingle(self, key: str, value=""): # -> DemezKeyValue:
sub_dkv = self.GetItem(key)
if not sub_dkv:
sub_dkv = DemezKeyValue(self, key, value, file_path=self.file_path)
self.value.append(sub_dkv)
else:
sub_dkv.value = value
return sub_dkv | Python | nomic_cornstack_python_v1 |
function withMinor self integer
begin
Ellipsis
end function | def withMinor(self, integer: int) -> 'DefaultDeviceTypeVersionNumberDto':
... | Python | nomic_cornstack_python_v1 |
function IGetEdges self
begin
set ret = call InvokeTypes 26 LCID 1 tuple 9 0 tuple
if ret is not none
begin
set ret = call Dispatch ret string IGetEdges string {83A33D42-27C5-11CE-BFD4-00400513BB57}
end
return ret
end function | def IGetEdges(self):
ret = self._oleobj_.InvokeTypes(26, LCID, 1, (9, 0), (),)
if ret is not None:
ret = Dispatch(ret, u'IGetEdges', '{83A33D42-27C5-11CE-BFD4-00400513BB57}')
return ret | Python | nomic_cornstack_python_v1 |
function query self query
begin
set response = post string %s/ws/search % call geturl data=dict string limit TARGET_NUMBER_OF_RESULTS ; string index index_number ; string query payload
set parser = call XMLParser encoding=string utf-8 recover=true
set response_element = call fromstring content parser=parser
assert is i... | def query(self, query):
response = requests.post("%s/ws/search" % self.url.geturl(), data={
"limit": TARGET_NUMBER_OF_RESULTS,
"index": self.index_number,
"query": query.payload,
})
parser = XMLParser(encoding="utf-8", recover=True)
response_element = ... | Python | nomic_cornstack_python_v1 |
function _get_images_path self
begin
if dataset == value
begin
return RSICD_PATH
end
else
if dataset == value
begin
return UCM_PATH
end
else
if dataset == value
begin
return SYDNEY_PATH
end
else
begin
error string Wrong dataset // SUPPORTED : rsicd, ucm or sydney
end
end function | def _get_images_path(self):
if self.dataset == DATASETS.RSICD.value:
return RSICD_PATH
elif self.dataset == DATASETS.UCM.value:
return UCM_PATH
elif self.dataset == DATASETS.SYDNEY.value:
return SYDNEY_PATH
else:
logging.error("Wrong datase... | Python | nomic_cornstack_python_v1 |
function __radd__ self that
begin
return call __opExpand2 that add
end function | def __radd__(self,that):
return self.__opExpand2(that,np.add) | Python | nomic_cornstack_python_v1 |
set s = string Life is too short, You need Python
print find s string short
print
set s = string Eighty percent of $ucce$$ is Showing up.
set s = replace s string $ string s
print s
print
set s = string Life is too short, You need Python
print split s
print | s = 'Life is too short, You need Python'
print(s.find('short'))
print()
s = 'Eighty percent of $ucce$$ is Showing up.'
s = s.replace('$', 's')
print(s)
print()
s = 'Life is too short, You need Python'
print(s.split())
print() | Python | zaydzuhri_stack_edu_python |
function predictResults self cases a
begin
set predictions = list
for c in cases
begin
set outcome = call predictResultsRecurse c attributes
append predictions outcome
end
return predictions
end function | def predictResults(self, cases, a):
predictions = []
for c in cases:
outcome = self.predictResultsRecurse(c, attributes)
predictions.append(outcome)
return predictions | Python | nomic_cornstack_python_v1 |
from modules.CarControl import CarControl
set car = call CarControl
class CarAutoPilotByPredict extends object
begin
comment 控制小車(前,左,右)。
function steer self prediction
begin
comment 2 : 道路直線的圖片
comment 當預測到 "道路直線的圖片"
if prediction == 0
begin
comment 讓車子直行
call Forward 60 60
print string Forward
end
else
comment 當預測到 "... | from modules.CarControl import CarControl
car = CarControl()
class CarAutoPilotByPredict(object):
def steer(self, prediction): # 控制小車(前,左,右)。
... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import gzip
function parse path
begin
set g = open path string rb
for l in g
begin
yield eval l
end
end function
function getDF path
begin
set i = 0
set df = dict
for d in parse path
begin
set df at i = d
end
end function | import pandas as pd
import gzip
def parse(path):
g = gzip.open(path, 'rb')
for l in g:
yield eval(l)
def getDF(path):
i = 0
df = {}
for d in parse(path):
df[i] = d | Python | zaydzuhri_stack_edu_python |
function pc_noutput_items_var self
begin
return call randomiser_softbits_sptr_pc_noutput_items_var self
end function | def pc_noutput_items_var(self):
return _ccsds_swig.randomiser_softbits_sptr_pc_noutput_items_var(self) | Python | nomic_cornstack_python_v1 |
function calcQTable self state action returnFeatures=false network=none
begin
if network is none
begin
set network = target
end
set features = call process_state state action
comment + self.qBias
set qValue = decimal predict network array list features
if returnFeatures
begin
return tuple qValue features
end
return qVa... | def calcQTable(self,state,action,returnFeatures=False,network=None):
if network is None:
network = self.target
features = self.process_state(state,action)
qValue = float(network.predict(np.array([features]))) #+ self.qBias
if returnFeatures:
return qValue... | Python | nomic_cornstack_python_v1 |
import serial
from oauthlib.oauth2 import BackendApplicationClient
from oauthlib.oauth2 import TokenExpiredError
from requests_oauthlib import OAuth2Session
import requests
import datetime
comment import all the neccessary libraries
set PORT = string /dev/ttyUSB0
set BAUDRATE = string 115200
comment define the port and... | import serial
from oauthlib.oauth2 import BackendApplicationClient
from oauthlib.oauth2 import TokenExpiredError
from requests_oauthlib import OAuth2Session
import requests
import datetime
# import all the neccessary libraries
PORT = "/dev/ttyUSB0"
BAUDRATE = "115200"
# define the port and the baudrate
ser = seri... | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 -*-
import requests
from bs4 import BeautifulSoup
import re
import http.client
import json
import codecs
function crawl_proxy page
begin
string 获取代理列表 :return: proies
set headers = dict string User-Agent string Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46... | # -*- coding:utf-8 -*-
import requests
from bs4 import BeautifulSoup
import re
import http.client
import json
import codecs
def crawl_proxy(page):
"""
获取代理列表
:return: proies
"""
headers = {'User-Agent': "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrom... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import pandas_datareader.data as web
call use string ggplot
set df = read csv string pure alcohol available for consumption.csv index_col=0
plot linewidth=2
y label string Litres (in millions)
x label string Year
title plt string Volume of... | import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import pandas_datareader.data as web
style.use('ggplot')
df=pd.read_csv('pure alcohol available for consumption.csv',index_col = 0)
df.plot(linewidth=2)
plt.ylabel('Litres (in millions)')
plt.xlabel('Year')
plt.title('Volume of pure al... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
string The number, 197, is called a circular prime because all rotations of the digits: 197, 971, and 719, are themselves prime. There are thirteen such primes below 100: 2, 3, 5, 7, 11, 13, 17, 31, 37, 71, 73, 79, and 97. How many circular primes are there below one million? 1456
import primeutils... | # coding=utf-8
"""
The number, 197, is called a circular prime because all rotations of the digits: 197, 971, and 719, are themselves prime.
There are thirteen such primes below 100: 2, 3, 5, 7, 11, 13, 17, 31, 37, 71, 73, 79, and 97.
How many circular primes are there below one million?
1456
"""
import primeutils
... | Python | zaydzuhri_stack_edu_python |
function GetIter self WANTED_REF=none WANTED_SUBTYPE=none
begin
if WANTED_REF == none
begin
for this_ref in ref_base
begin
if WANTED_SUBTYPE == none ? tested_subtype == WANTED_SUBTYPE
begin
for this_test in test_names
begin
yield my_map_shelf at seq_name + this_test
end
end
end
end
else
begin
for this_test in test_name... | def GetIter(self, WANTED_REF = None, WANTED_SUBTYPE = None):
if WANTED_REF == None:
for this_ref in self.ref_base:
if (WANTED_SUBTYPE == None) | (this_ref.tested_subtype == WANTED_SUBTYPE):
for this_test in self.test_names:
yield self.my_map_shelf[this_ref.seq_name+this_test]
else:
... | Python | nomic_cornstack_python_v1 |
import string
set n = integer input
set ans = list
while i >= 0
begin
set tuple q mod = divide mod n 26 ^ i
append ans q - 1
set n = mod
set i = i - 1
end
print ans
set s = string
for a in ans
begin
set s = s + ascii_lowercase at a
end
print s | import string
n = int(input())
ans = []
while i >= 0:
q, mod = divmod(n, 26 ** i)
ans.append(q - 1)
n = mod
i -= 1
print(ans)
s = ""
for a in ans:
s += string.ascii_lowercase[a]
print(s)
| Python | zaydzuhri_stack_edu_python |
comment coding:utf-8
import os
class OsUse extends object
begin
function __init__ self input_path file_name
begin
set __input_path = input_path
set __file_name = file_name
set __dir_path = none
set __file_path = none
end function
function search_other self
begin
comment self.__input_path.split(os.sep) 使用操作系统路径分隔符分割得到
c... | # coding:utf-8
import os
class OsUse(object):
def __init__(self, input_path, file_name):
self.__input_path = input_path
self.__file_name = file_name
self.__dir_path = None
self.__file_path = None
def search_other(self):
# self.__input_path.split(os.sep) 使用操作系统路径分隔符分割... | Python | zaydzuhri_stack_edu_python |
comment g.append(s[int(k)-1])
for i in range 0 length s
begin
if s at i == a
begin
set f = i
end
end
for i in range f length s integer k
begin
append g s at i
end
print *g | #g.append(s[int(k)-1])
for i in range(0,len(s)):
if s[i]==a:
f=i
for i in range(f,len(s),int(k)):
g.append(s[i])
print(*g)
| Python | zaydzuhri_stack_edu_python |
class Node
begin
set RED = true
set BLACK = false
function __init__ self key val color
begin
set left = none
set right = none
set key = key
set value = val
set color = color
end function
end class
class RedBlackBST
begin
function __init__ self
begin
set root = none
end function
function put self key val
begin
set root ... | class Node:
RED = True
BLACK = False
def __init__(self, key, val, color):
self.left = None
self.right = None
self.key = key
self.value = val
self.color = color
class RedBlackBST:
def __init__(self):
self.root = None
de... | Python | zaydzuhri_stack_edu_python |
function TestDict
begin
set thisdict = dict string brand string Ford ; string model string Mustang ; string year 1964
print thisdict
comment accessing elements
set x = thisdict at string model
print x
set x = get thisdict string model
print x
comment change values
set thisdict at string year = 2018
print thisdict
clear... | def TestDict():
thisdict = {"brand": "Ford", "model": "Mustang", "year": 1964 }
print (thisdict)
# accessing elements
x = thisdict["model"]
print(x)
x = thisdict.get("model")
print(x)
#change values
thisdict["year"] = 2018
print(thisdict)
thisdict.clear()
print(thisdict)
TestDict() | Python | zaydzuhri_stack_edu_python |
function readXML filePath
begin
set tree = parse ET filePath
set root = get root tree
set paras = list
if string full-text-retrieval-response in tag
begin
for para in find all string .//xocs:rawtext ns_fulltext
begin
append paras text
end
end
for para in find all string .//ce:sections//ce:para ns_doc
begin
append para... | def readXML(filePath):
tree = ET.parse(filePath)
root = tree.getroot()
paras = []
if "full-text-retrieval-response" in root.tag:
for para in root.findall(".//xocs:rawtext", ns_fulltext):
paras.append(para.text)
for para in root.findall(".//ce:sections//ce:para", ns_doc):
paras.append(getNodeText... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding:utf-8 -*-
comment @Time : 2018/10/21 21:13
comment @Author : Administrator
comment @Site :
comment @File : Python练习实例28.py
comment @Software: PyCharm
string 题目： 有5个人坐在一起，问第五个人多少岁？他说比第4个人大2岁。问第4个人岁数，他说比第3个人大2岁。问第三个人，又说比第2人大两岁。问第2个人，说比第一个人大两岁。最后问第一个人，他说是10岁。请问第五个人多大？ ------... | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time : 2018/10/21 21:13
# @Author : Administrator
# @Site :
# @File : Python练习实例28.py
# @Software: PyCharm
"""
题目：
有5个人坐在一起，问第五个人多少岁？他说比第4个人大2岁。问第4个人岁数，他说比第3个人大2岁。问第三个人，又说比第2人大两岁。问第2个人，说比第一个人大两岁。最后问第一个人，他说是10岁。请问第五个人多大？
------------------------------------... | Python | zaydzuhri_stack_edu_python |
from torch.utils.data import Dataset
import pickle
class EncodingsDataset extends Dataset
begin
function __init__ self encodings transform=none
begin
string Args: encodings (string) - path to a .pickle file, output of encode_faces.py transform (callable, optional) - optional transform to be performed
set samples = list... | from torch.utils.data import Dataset
import pickle
class EncodingsDataset(Dataset):
def __init__(self, encodings, transform=None):
'''
Args:
encodings (string) - path to a .pickle file, output of encode_faces.py
transform (callable, optional) - optional transform to be perfo... | Python | zaydzuhri_stack_edu_python |
function make_particles input_file positive=false
begin
set particles = list
for line in input_file
begin
comment each line is of the form p=<x,y,z>, v=x,y,z>, a=<x,y,z>
set tuple point_str velocity_str accel_str = split strip line string string ,
set point = map int split point_str at slice 3 : - 1 : string ,
set ve... | def make_particles(input_file, positive=False):
particles = []
for line in input_file:
#each line is of the form p=<x,y,z>, v=x,y,z>, a=<x,y,z>
point_str, velocity_str, accel_str = line.strip("\n").split(", ")
point = map(int, point_str[3:-1].split(","))
velocity = map(int, vel... | Python | nomic_cornstack_python_v1 |
import numpy as np
from itertools import chain
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing import image
from keras.models import load_model
import os
import tensorflow as tf
set environ at string TF_CPP_MIN_LOG_LEVEL = string 3
from tensorflow.python.util import deprecation
set _PRINT... | import numpy as np
from itertools import chain
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing import image
from keras.models import load_model
import os
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from tensorflow.python.util import deprecation
deprecation._PRINT_DEPR... | Python | zaydzuhri_stack_edu_python |
function myMap func list
begin
set listA = list
for x in list
begin
append listA call func x
print listA
end
return listA
end function
function func x
begin
return x * 5
end function
call myMap func list 1 2 3 4 5 | def myMap(func,list):
listA = []
for x in list:
listA.append(func(x))
print(listA)
return listA
def func(x):
return x*5
myMap(func,[1,2,3,4,5]) | Python | zaydzuhri_stack_edu_python |
function _onchange_exchange_product self
begin
set values = dict string quantity false ; string price_unit false ; string uom_id false
set line = sale_line_id or purchase_line_id
if exchange_product_id
begin
update values dict string quantity product_uom_qty ; string price_unit lst_price ; string uom_id id
end
else
beg... | def _onchange_exchange_product(self):
values = {
'quantity': False,
'price_unit': False,
'uom_id': False,
}
line = self.move_id.sale_line_id or self.move_id.purchase_line_id
if self.exchange_product_id:
values.update({
... | Python | nomic_cornstack_python_v1 |
function take_exposure self seconds=1.0 * second filename=none dark=false blocking=false *args **kwargs
begin
assert is_connected msg error string Camera must be connected for take_exposure!
assert filename is not none msg warning string Must pass filename for take_exposure
if not is instance seconds Quantity
begin
set... | def take_exposure(self,
seconds=1.0 * u.second,
filename=None,
dark=False,
blocking=False,
*args,
**kwargs):
assert self.is_connected, self.logger.error("Camera must be connected f... | Python | nomic_cornstack_python_v1 |
class Difference
begin
function __init__ self a
begin
set __elements = a
set maximumDifference = 0
set elements = a
end function
function computeDifference self
begin
global maximumDifference
set maximumDifference = 0
set i = 0
while i < length a
begin
for j in range i + 1 length a
begin
if maximumDifference < absolute... | class Difference:
def __init__(self, a):
self.__elements = a
self.maximumDifference = 0
self.elements = a
def computeDifference(self):
global maximumDifference
maximumDifference = 0
i = 0
while i < len(a):
for j in range((i + 1), len(a)):
... | Python | zaydzuhri_stack_edu_python |
function methylation_array_kcv dataset model_class model_params output_target k=10 verbose=0 callbacks=list
begin
set tuple test_accuracies val_accuracies = tuple list list
for i in range k
begin
set tuple training_set test_set validation_set = call split_methylation_array_by_pheno dataset output_target
set model = c... | def methylation_array_kcv(dataset, model_class, model_params, output_target, k=10, verbose=0, callbacks=[]):
test_accuracies, val_accuracies = [], []
for i in range(k):
training_set, test_set, validation_set = split_methylation_array_by_pheno(dataset, output_target)
model = model_class(**model_p... | Python | nomic_cornstack_python_v1 |
import sys
from itertools import combinations_with_replacement as cb
set input = readline
if __name__ == string __main__
begin
set tuple N M = map int split strip input
set nums = sorted set map int split strip input
for e in sorted set call cb nums M
begin
print join string map str e
end
end | import sys
from itertools import combinations_with_replacement as cb
input = sys.stdin.readline
if __name__ == '__main__':
N, M = map(int, input().strip().split())
nums = sorted(set(map(int, input().strip().split())))
for e in sorted(set(cb(nums, M))):
print(' '.join(map(str, e))) | Python | zaydzuhri_stack_edu_python |
comment Hourly wage calculation
print string Hourly wages and monthly income
print string hours | 9/hr | 12/hr |15/hr
for i in range 1 41
begin
comment Hours times 4 weeks
print i string | 36 * i string | 48 * i string | 60 * i
end | #Hourly wage calculation
print('Hourly wages and monthly income')
print('hours\t| 9/hr\t| 12/hr\t|15/hr')
for i in range(1, 41):
#Hours times 4 weeks
print(i, '\t|', 36*i, '\t|', 48*i, '\t|', 60*i)
| Python | zaydzuhri_stack_edu_python |
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