code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
string 在控制台依次提示用户输入：姓名、公司、职位、电话、电子邮箱
set name = input string 请输入姓名:
set company = input string 请输入公司:
set title = input string 请输入职位:
set phone = input string 请输入电话:
set email = input string 请输入邮箱
print string * * 50
print company
print
print string %s(%s) % tuple name title
print
print string 电话: %s % phone
print stri... | """
在控制台依次提示用户输入：姓名、公司、职位、电话、电子邮箱
"""
name = input("请输入姓名:")
company = input("请输入公司:")
title = input("请输入职位:")
phone = input("请输入电话:")
email = input("请输入邮箱")
print("*" * 50)
print(company)
print()
print("%s(%s)"%(name, title))
print()
print("电话: %s"% phone)
print("邮箱: %s"% email)
print("*" * 50)
| Python | zaydzuhri_stack_edu_python |
function get_new self
begin
set counter = counter + 1
if counter == next_wearher_show
begin
comment Set the next interval to show the weather
set next_wearher_show = integer random * 10 + 5
comment Fether the dutch weather map
set data = read url open KNMI_URL
comment Write weather map to disk
set fh = open string /tmp... | def get_new(self):
self.counter += 1
if self.counter == self.next_wearher_show:
# Set the next interval to show the weather
next_wearher_show = int(random.random()*10) + 5
# Fether the dutch weather map
data = urllib.urlopen(KNMI_URL).read()
... | Python | nomic_cornstack_python_v1 |
from pyproj import Transformer
function WGStoTM2 lon lat
begin
set transformer = call from_crs string epsg:4326 string epsg:3826
set tuple lon_tm2 lat_tm2 = transform transformer lat lon
return list lon_tm2 lat_tm2
end function
comment 請分別輸入經度及緯度,將輸出一個list為TWD97TM2的座標([0]為經度方向,[1]為緯度方向) | from pyproj import Transformer
def WGStoTM2(lon,lat):
transformer = Transformer.from_crs("epsg:4326","epsg:3826")
lon_tm2,lat_tm2=transformer.transform(lat,lon)
return [lon_tm2,lat_tm2]
# 請分別輸入經度及緯度,將輸出一個list為TWD97TM2的座標([0]為經度方向,[1]為緯度方向) | Python | zaydzuhri_stack_edu_python |
function pixels pix_width fov_width pos_ang num_pix
begin
comment Convert to radians
set pos_ang = pos_ang * pi / 180.0
set limit = pix_width * num_pix - 1 / fov_width / 2.0
comment Define 1D grid
set x = linear space - limit limit num_pix
comment Return 2D grid
set tuple xx yy = call meshgrid x x
comment Rotate coordi... | def pixels(pix_width, fov_width, pos_ang, num_pix):
# Convert to radians
pos_ang = pos_ang * np.pi / 180.0
limit = (pix_width * (num_pix - 1)) / (fov_width / 2.0)
# Define 1D grid
x = np.linspace(- limit, limit, num_pix)
# Return 2D grid
xx, yy = np.meshgrid(x, x)
# Rotate coordinate... | Python | nomic_cornstack_python_v1 |
import sys
import os
from Core import itemsWorker
from Core.safeCast import safeCast
from Games.gessNum import gesNum
from Games.RPG import rpg
set rwd = call dirBuild argv at 0 get current directory true
change directory rwd
call saveInfo string Старт rwd
if length argv >= 2
begin
set command = argv at 1
end
else
begi... | import sys
import os
from Core import itemsWorker
from Core.safeCast import safeCast
from Games.gessNum import gesNum
from Games.RPG import rpg
rwd = itemsWorker.dirBuild((sys.argv[0]), os.getcwd(), True)
os.chdir(rwd)
itemsWorker.saveInfo('Старт', rwd)
if len(sys.argv) >= 2:
command = sys.argv[1]
else:
comm... | Python | zaydzuhri_stack_edu_python |
function __init__ self savFileName ioUtf8=false ioLocale=none
begin
call setlocale LC_ALL string
set savFileName = savFileName
if name == string nt
begin
set libc = call LoadLibrary string msvcrt
end
else
begin
set libc = call LoadLibrary call find_library string c
end
set spssio = call loadLibrary
set wholeCaseIn = sp... | def __init__(self, savFileName, ioUtf8=False, ioLocale=None):
locale.setlocale(locale.LC_ALL, "")
self.savFileName = savFileName
if os.name == 'nt':
self.libc = cdll.LoadLibrary('msvcrt')
else:
self.libc = cdll.LoadLibrary(ctypes.util.find_library('c'))
se... | Python | nomic_cornstack_python_v1 |
function makeHadamard n d
begin
return list comprehension list comprehension if expression d at string r%dc%d % tuple i j then 1 else 0 for j in range n for i in range n
end function | def makeHadamard(n, d):
return [[1 if d["r%dc%d" % (i, j)] else 0 for j in range(n)] for i in range(n)] | Python | nomic_cornstack_python_v1 |
function __IASS_helper self inh ass
begin
set list_of_iass_relation = list
if inh is none or ass is none
begin
info string There are no IASS relations
end
else
begin
for parent_and_child in inh
begin
set parent = get attrib string ci
set child = get attrib string cj
for relation in ass
begin
if child == get attrib stri... | def __IASS_helper(self, inh, ass):
list_of_iass_relation = list()
if inh is None or ass is None:
logger.info("There are no IASS relations")
else:
for parent_and_child in inh:
parent = parent_and_child.attrib.get("ci")
child = parent_... | Python | nomic_cornstack_python_v1 |
set minutos = integer input string Dame los minutos en los que caminará el caracol:
set vel_car = 5.7
set vel_min = 5.7 * 60
set vel_total = vel_min * minutos / 10
print vel_total | minutos= int(input("Dame los minutos en los que caminará el caracol: " ))
vel_car = 5.7
vel_min = (5.7*60)
vel_total = (vel_min*minutos)/10
print(vel_total)
| Python | zaydzuhri_stack_edu_python |
from sklearn.ensemble import RandomForestClassifier
class RandomForest
begin
string Random forest classifier
function __init__ self no_trees=100
begin
set classifier = random forest classifier n_estimators=no_trees
end function
function fit self X y
begin
string Method to fit the model. Parameters: X : 2d numpy array o... | from sklearn.ensemble import RandomForestClassifier
class RandomForest():
"""
Random forest classifier
"""
def __init__(self, no_trees = 100):
self.classifier = RandomForestClassifier(n_estimators = no_trees)
def fit(self, X, y):
"""
Method to fit the model.
... | Python | zaydzuhri_stack_edu_python |
function depth args
begin
set p = call OptionParser __doc__
call add_option string --chrinfo help=string Comma-separated mappings between seqid, color, new_name
call add_option string --titleinfo help=string Comma-separated titles mappings between filename, title
call add_option string --maxdepth default=100 type=strin... | def depth(args):
p = OptionParser(depth.__doc__)
p.add_option(
"--chrinfo", help="Comma-separated mappings between seqid, color, new_name"
)
p.add_option(
"--titleinfo",
help="Comma-separated titles mappings between filename, title",
)
p.add_option("--maxdepth", default=1... | Python | nomic_cornstack_python_v1 |
function get_password_hash password
begin
return call hash password
end function | def get_password_hash(password: str) -> str:
return pwd_context.hash(password) | Python | nomic_cornstack_python_v1 |
from extractor import Extractor
from bs4 import BeautifulSoup
class Reuters extends Extractor
begin
function extractArticle self article
begin
set soup = call BeautifulSoup html
set articleImageContainer = find soup id=string articleImage
if articleImageContainer
begin
set string image attrs at string src
end
set artic... | from extractor import Extractor
from bs4 import BeautifulSoup
class Reuters(Extractor):
def extractArticle(self, article):
soup = BeautifulSoup(article.html)
articleImageContainer = soup.find(id='articleImage')
if articleImageContainer:
article.set('image', articleImageContain... | Python | zaydzuhri_stack_edu_python |
comment 29 de Marzo. Lunes
comment G es una Constante
comment Función ptencia pow(base, exponente)
comment Operador ** 10 ** -8
set G = 6.673 * power 10 - 8
set m1 = decimal input string Ingrese la masa del cuerpo 1:
set m2 = decimal input string Ingrese la masa del cuerpo 2:
comment Distancia entre los cuerpos.
set d ... | # 29 de Marzo. Lunes
# G es una Constante
# Función ptencia pow(base, exponente)
# Operador ** 10 ** -8
G = 6.673 * pow(10, -8)
m1 = float(input(' Ingrese la masa del cuerpo 1: '))
m2 = float(input(' Ingrese la masa del cuerpo 2: '))
# Distancia entre los cuerpos.
d = float(input('Ingrese la distancia '))
# Process
#... | Python | zaydzuhri_stack_edu_python |
function get_images input_file_path output_path
begin
if not exists input_file_path
begin
raise call FileNotFoundError input_file_path
end
if not exists output_path
begin
raise call NotADirectoryError output_path
end
set faulty_lines = list
with open input_file_path as infile
begin
for line in infile
begin
set url = s... | def get_images(input_file_path, output_path):
if not exists(input_file_path):
raise FileNotFoundError(input_file_path)
if not exists(output_path):
raise NotADirectoryError(output_path)
faulty_lines = []
with open(input_file_path) as infile:
for line in infile:
url = ... | Python | nomic_cornstack_python_v1 |
class Solution
begin
function subarraySum self nums k
begin
set count = 0
set total = 0
set hash_map = dict 0 1
for num in nums
begin
set total = total + num
if total - k in hash_map
begin
set count = count + hash_map at total - k
end
if total in hash_map
begin
set hash_map at total = hash_map at total + 1
end
else
beg... | class Solution:
def subarraySum(self, nums, k: int) -> int:
count = 0
total = 0
hash_map = {0: 1}
for num in nums:
total += num
if total - k in hash_map:
count += hash_map[total - k]
if total in hash_map:
hash_map[total] += 1
else:
hash_map[total] = 1
return count | Python | zaydzuhri_stack_edu_python |
set n = string input
set n1 = n at slice : : - 1
print n1 | n=str(input())
n1=n[: : -1]
print(n1)
| Python | zaydzuhri_stack_edu_python |
function testUnicode self
begin
set base_name = call utf8 string ààà朋友你好abc123𐀀𐀀
set timestamp = time
set contact_id_lookup = dictionary
function _CreateContact index
begin
set name = base_name + string index
set identity_key = string Email:%s % name
return call CreateFromKeywords 100 list tuple identity_key none ... | def testUnicode(self):
base_name = escape.utf8(u'ààà朋友你好abc123\U00010000\U00010000\x00\x01\b\n\t ')
timestamp = time.time()
contact_id_lookup = dict()
def _CreateContact(index):
name = base_name + str(index)
identity_key = 'Email:%s' % name
return Contact.CreateFromKeywords(10... | Python | nomic_cornstack_python_v1 |
function create_keystone_db self *args **kwargs
begin
return execute _create_keystone_db *args keyword kwargs
end function | def create_keystone_db(self, *args, **kwargs):
return execute(self._create_keystone_db, *args, **kwargs) | Python | nomic_cornstack_python_v1 |
while true
begin
if i == n - 1
begin
append s c
break
end
if l at i != l at i + 1
begin
append s c
set c = 0
end
set c = c + 1
set i = i + 1
end
set ans = 0
for i in s
begin
set ans = ans + i // 2
end
print ans | while True:
if i==n-1:
s.append(c)
break
if l[i]!=l[i+1]:
s.append(c)
c=0
c+=1
i+=1
ans=0
for i in s:
ans+=i//2
print(ans) | Python | zaydzuhri_stack_edu_python |
function draw_strat_sample self T n excl_idxs=none
begin
if n == 0
begin
return array list dtype=uint
end
comment TODO: this only works if excl_idxs=None
if size == n
begin
return array range n
end
if n == 1
begin
set idxs_all_non_excl = call setdiff1d array range size excl_idxs assume_unique=true
return array list ra... | def draw_strat_sample(self, T, n, excl_idxs=None):
if n == 0:
return np.array([], dtype=np.uint)
if T.size == n: # TODO: this only works if excl_idxs=None
return np.arange(n)
if n == 1:
idxs_all_non_excl = np.setdiff1d(
np.arange(T.size), e... | Python | nomic_cornstack_python_v1 |
function _init_loan
begin
comment principal loan amount of loan
comment 7959.30
set amount = decimal input string Enter the principal amount of the loan:
comment interest rate of loan
comment 0.0505
set interest_rate = decimal input string Enter the interest rate of the loan:
comment frequency of payments
set freq = in... | def _init_loan() -> pl.Loan:
# principal loan amount of loan
amount = float(input("Enter the principal amount of the loan: ")) # 7959.30
# interest rate of loan
interest_rate = float(input("Enter the interest rate of the loan: ")) # 0.0505
# frequency of payments
freq = int(input("Enter the nu... | Python | nomic_cornstack_python_v1 |
function _find_impl cls role interface
begin
string Find relation implementation based on its role and interface.
set module = call _relation_module role interface
if not module
begin
return none
end
return call _find_subclass module
end function | def _find_impl(cls, role, interface):
"""
Find relation implementation based on its role and interface.
"""
module = _relation_module(role, interface)
if not module:
return None
return cls._find_subclass(module) | Python | jtatman_500k |
function _predict_proba self X
begin
set preds = call _predict X
set n_instances = length preds
if has attribute self string n_clusters and n_clusters is not none
begin
set n_clusters = n_clusters
end
else
begin
set n_clusters = max preds + 1
end
set dists = zeros tuple shape at 0 n_clusters
for i in range n_instances
... | def _predict_proba(self, X):
preds = self._predict(X)
n_instances = len(preds)
if hasattr(self, "n_clusters") and self.n_clusters is not None:
n_clusters = self.n_clusters
else:
n_clusters = max(preds) + 1
dists = np.zeros((X.shape[0], n_clusters))
... | Python | nomic_cornstack_python_v1 |
function get self datetime file_name x target_column target_value analysis_type is_actuals
begin
set data = call read_file file_name
set data = call bin_continuous_cols data target_column
set tuple f ax = call subplots figsize=tuple 15 11
if analysis_type != string continuous
begin
set target_value = call convert_conti... | def get(self, datetime, file_name, x, target_column, target_value, analysis_type, is_actuals):
data = file_service.read_file(file_name)
data = influencers_service.bin_continuous_cols(data, target_column)
f, ax = plt.subplots(figsize=(15, 11))
if analysis_type != 'continuous':
... | Python | nomic_cornstack_python_v1 |
function f x y
begin
return x + y
end function
print f dist 10 20 | def f(x,y): return x + y
print(f(10,20))
| Python | zaydzuhri_stack_edu_python |
function get_target self
begin
set conversions_dict = dict
for i in range 16
begin
set conversions_dict at i = _conversions at i
end
set _target = list comprehension decimal init_target at i * conversions_dict at i for i in range 16
set reference_total_1 = sum list comprehension _reference at i at 1 for i in elements
... | def get_target(self):
conversions_dict = {}
for i in range(16):
conversions_dict[i] = self._conversions[i]
self._target = [float(self.init_target[i])*conversions_dict[i] for i in range(16)]
reference_total_1 = np.sum([self._reference[i][1] for i in self.elements])
ref... | Python | nomic_cornstack_python_v1 |
function get_relation_list self
begin
return keys relation_distribution_map
end function | def get_relation_list(self):
return self.relation_distribution_map.keys() | Python | nomic_cornstack_python_v1 |
function init_auto_update self
begin
comment this maps the key (combo-box-index) to the auto-update-interval value
comment where (-1) means, no key
set combobox_interval_mapping = dict 0 1 ; 1 2 ; 2 7 ; 3 14
call set_active 0
comment update_days = apt_pkg.Config.FindI(softwareproperties.CONF_MAP["autoupdate"])
call app... | def init_auto_update(self):
# this maps the key (combo-box-index) to the auto-update-interval value
# where (-1) means, no key
self.combobox_interval_mapping = { 0 : 1,
1 : 2,
2 : 7,
3 : 14 }... | Python | nomic_cornstack_python_v1 |
function enclosing_box_aligned corners1 corners2
begin
comment (B, N)
set x1_max = max corners1 at tuple Ellipsis 0 dim=2 at 0
comment (B, N)
set x1_min = min corners1 at tuple Ellipsis 0 dim=2 at 0
set y1_max = max corners1 at tuple Ellipsis 1 dim=2 at 0
set y1_min = min corners1 at tuple Ellipsis 1 dim=2 at 0
comment... | def enclosing_box_aligned(corners1:torch.Tensor, corners2:torch.Tensor):
x1_max = torch.max(corners1[..., 0], dim=2)[0] # (B, N)
x1_min = torch.min(corners1[..., 0], dim=2)[0] # (B, N)
y1_max = torch.max(corners1[..., 1], dim=2)[0]
y1_min = torch.min(corners1[..., 1], dim=2)[0]
x2_max =... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import math
from datetime import datetime
from sklearn.linear_model import LinearRegression
import streamlit as st
set df = read csv string ipl.csv
set df = drop df labels=list string mid string batsman string bowler string striker string non-striker axis=1
set consistent_team = l... | import pandas as pd
import numpy as np
import math
from datetime import datetime
from sklearn.linear_model import LinearRegression
import streamlit as st
df=pd.read_csv('ipl.csv')
df=df.drop(labels=['mid','batsman','bowler','striker','non-striker'],axis=1)
consistent_team=['Kolkata Knight Riders','Chennai Super King... | Python | zaydzuhri_stack_edu_python |
function build self
begin
comment print('ntimes=%s nelements=%s ntotal=%s' % (self.ntimes, self.nelements, self.ntotal))
comment print('self.IDs', self.data)
set itime = 0
set ielement = 0
set itotal = 0
assert ntimes > 0 msg string ntimes=%s % ntimes
assert nelements > 0 msg string nelements=%s % nelements
assert ntot... | def build(self):
#print('ntimes=%s nelements=%s ntotal=%s' % (self.ntimes, self.nelements, self.ntotal))
#print('self.IDs', self.data)
self.itime = 0
self.ielement = 0
self.itotal = 0
assert self.ntimes > 0, 'ntimes=%s' % self.ntimes
assert self.nelements > 0, 'n... | Python | nomic_cornstack_python_v1 |
function infocus request id
begin
set template = call get_template string infocus.html
try
begin
set topic = get objects id=id
set serialized_topic = call TopicNestedSerializer topic
set topic_json = call render data
end
except ObjectDoesNotExist
begin
return call HttpResponse string This topic doesn't exists!
end
set ... | def infocus(request, id):
template = loader.get_template('infocus.html')
try:
topic = Topic.objects.get(id=id)
serialized_topic = TopicNestedSerializer(topic)
topic_json = JSONRenderer().render(serialized_topic.data)
except ObjectDoesNotExist:
return HttpResponse("This topic ... | Python | nomic_cornstack_python_v1 |
while true
begin
set num = integer input string enter any number and keep on going! if you want to stop enter '0'
if num == 0
begin
break
end
else
begin
append numbers num
end
end
set highest = numbers at 0
set i = 1
while i < length numbers
begin
if numbers at i > highest
begin
set highest = numbers at i
end
set i = i... | while True:
num = int(input("enter any number and keep on going! if you want to stop enter '0'"))
if num==0:
break
else:
numbers.append(num)
highest = numbers[0]
i=1
while i<len(numbers):
if numbers[i]>highest:
highest=numbers[i]
i=i+1
print("the highest is ",highest) | Python | zaydzuhri_stack_edu_python |
import numpy
set i_list = list map int split input
set arr1 = array i_list
set changed_array = reshape numpy arr1 tuple 3 3
print changed_array | import numpy
i_list = list(map(int, input().split()))
arr1 = numpy.array(i_list)
changed_array = numpy.reshape(arr1, (3,3))
print(changed_array) | Python | zaydzuhri_stack_edu_python |
comment coding: utf-8
comment .NET の API を使って文字列の一部を変換するサンプル
import clr
from System import *
from System.IO import *
from System.Text.RegularExpressions import *
set data = call ReadAllText string data.txt
set regex = call Regex string //@@@StartPos.*?//@@@EndPos Singleline
set data_new = replace regex data string //@@... | # coding: utf-8
#
# .NET の API を使って文字列の一部を変換するサンプル
import clr
from System import *
from System.IO import *
from System.Text.RegularExpressions import *
data = File.ReadAllText("data.txt")
regex = Regex("//@@@StartPos.*?//@@@EndPos", RegexOptions.Singleline)
data_new = regex.Replace(data, "//@@@StartPos\ntest\n//@@@... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3.9
from collections import Counter
from bs4 import BeautifulSoup
from argparse import ArgumentParser
from data.synonyms import construct_with_synonyms , replace_with_synonym
function filter_alpha text
begin
string Filter out nonalpha characters from string
return join string list comprehension... | #!/usr/bin/python3.9
from collections import Counter
from bs4 import BeautifulSoup
from argparse import ArgumentParser
from data.synonyms import construct_with_synonyms, replace_with_synonym
def filter_alpha(text: str) -> str:
'''Filter out nonalpha characters from string
'''
return ''.join([c for c in t... | Python | zaydzuhri_stack_edu_python |
from read_config import read_config
from operator import itemgetter
from copy import deepcopy
import math
import random
set qValues = dict
set epsilon = 0.0
function ValidLocation new_position
begin
set config = call read_config
set goal = config at string goal
set rows = config at string map_size at 0
set cols = conf... | from read_config import read_config
from operator import itemgetter
from copy import deepcopy
import math
import random
qValues = {}
epsilon = 0.0
def ValidLocation(new_position):
config = read_config()
goal = config['goal']
rows = config['map_size'][0]
cols = config['map_size'][1]
walls = config... | Python | zaydzuhri_stack_edu_python |
comment MergeStockPriceData.py
comment Sai Madhuri Yerramsetti
comment October 7, 2020
comment Student Number: 0677671
comment Import packages
import pandas as pd
import os
comment Function to read and merge the ctock market data
function read_and_merge_data file_dir
begin
set filepath_list = list
comment make a list ... | # MergeStockPriceData.py
# Sai Madhuri Yerramsetti
# October 7, 2020
# Student Number: 0677671
# Import packages
import pandas as pd
import os
# Function to read and merge the ctock market data
def read_and_merge_data(file_dir):
filepath_list = []
# make a list of csv files list in th... | Python | zaydzuhri_stack_edu_python |
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense , Conv2D , MaxPooling2D , Flatten , Dropout , Activation
class SudokuNet
begin
decorator staticmethod
function build width height depth classes
begin
set input_shape = tuple height width depth
set model = sequential
add model conv ... | from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Conv2D,MaxPooling2D,Flatten,Dropout,Activation
class SudokuNet:
@staticmethod
def build(width,height,depth,classes):
input_shape = (height,width,depth)
model = Sequential()
model.add(Conv2D(32,(5... | Python | zaydzuhri_stack_edu_python |
function OnAddCards self addedcards
begin
string Called when a card is inserted. Adds a smart card to the smartcards tree.
set parentnode = root
for cardtoadd in addedcards
begin
set childCard = call AppendItem parentnode call toHexString atr
call SetItemText childCard call toHexString atr
call SetPyData childCard card... | def OnAddCards(self, addedcards):
"""Called when a card is inserted.
Adds a smart card to the smartcards tree."""
parentnode = self.root
for cardtoadd in addedcards:
childCard = self.AppendItem(parentnode, toHexString(cardtoadd.atr))
self.SetItemText(childCard, to... | Python | jtatman_500k |
import time , signal , sys
import Adafruit_ADS1x15
comment Globals
comment Vector of read voltages
set voltVector = list
comment Classes and Methods
comment Functions
function signal_handler signal frame
begin
print string You pressed Ctrl+C!
exit 0
end function
call signal SIGINT signal_handler
comment print 'Press C... | import time, signal, sys
import Adafruit_ADS1x15
#########################
# Globals
#########################
voltVector = [] # Vector of read voltages
#########################
# Classes and Methods
#########################
#########################
# Functions
#########################
def signal_handler(sign... | Python | zaydzuhri_stack_edu_python |
from time import clock
from StandardFunctions import genprimes
set t0 = call clock
set primes = call genprimes 500000
print format string Prime gen time: {} call clock - t0
set flag = true
for tuple n p in enumerate primes
begin
set n = n + 1
if n % 2 == 0
begin
continue
end
set r = 2 * p * n % p * p
if r > 10 ^ 10
beg... | from time import clock
from StandardFunctions import genprimes
t0 = clock()
primes = genprimes(500000)
print("Prime gen time: {}".format(clock() - t0))
flag = True
for n, p in enumerate(primes):
n += 1
if n % 2 == 0:
continue
r = (2 * p * n) % (p * p)
if r > 10 ** 10:
... | Python | zaydzuhri_stack_edu_python |
function process self event
begin
if event_type == string created
begin
with open src_path string rb as photo
begin
call tweet CONFIG call get_random_tweet_quote photo=photo
end
move src_path IMAGE_PROCESSED_PATH
end
end function | def process(self, event):
if event.event_type == 'created':
with open(event.src_path, 'rb') as photo:
tweet(CONFIG, get_random_tweet_quote(), photo=photo)
shutil.move(event.src_path, IMAGE_PROCESSED_PATH) | Python | nomic_cornstack_python_v1 |
function copy_file_node user host identity_file local_path remote_path
begin
set ssh_client = call get_ssh_client user=user host=host identity_file=identity_file
with ssh_client
begin
set remote_dir = directory name posixpath remote_path
try
begin
call ssh_check_output client=ssh_client command=format string test -d {p... | def copy_file_node(
*,
user: str,
host: str,
identity_file: str,
local_path: str,
remote_path: str):
ssh_client = get_ssh_client(
user=user,
host=host,
identity_file=identity_file)
with ssh_client:
remote_dir = posixpath.dirname(re... | Python | nomic_cornstack_python_v1 |
function numericalize self phonemes
begin
set ids = list comprehension call lookup item for item in phonemes if item in stoi
return ids
end function | def numericalize(self, phonemes):
ids = [
self.vocab.lookup(item) for item in phonemes
if item in self.vocab.stoi
]
return ids | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Time : 2021/2/9 下午1:59
comment @Author : jt_hou
comment @Email : 949241101@qq.com
comment @File : util.py
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardSca... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2021/2/9 下午1:59
# @Author : jt_hou
# @Email : 949241101@qq.com
# @File : util.py
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
def load_data():
"... | Python | zaydzuhri_stack_edu_python |
function contains argList argState
begin
for item in argList
begin
if m == m and c == c and b == b
begin
return true
end
end
return false
end function | def contains(argList, argState):
for item in argList:
if (item.m == argState.m and item.c == argState.c and item.b == argState.b):
return True
return False | Python | nomic_cornstack_python_v1 |
comment coding:utf-8
import time
import threading
set __author__ = string xudazhou
set k1 = string v1
function run_thread
begin
comment 全局变量 k1 可以传进来
print string thread %s is running %s % tuple name k1
end function
if __name__ == string __main__
begin
print string thread %s is begin % name
set t = thread target=run_th... | # coding:utf-8
import time
import threading
__author__ = 'xudazhou'
k1 = "v1"
def run_thread():
# 全局变量 k1 可以传进来
print("thread %s is running %s" % (threading.current_thread().name, k1))
if __name__ == "__main__":
print("thread %s is begin" % threading.current_thread().name)
t = threading.Thread(tar... | Python | zaydzuhri_stack_edu_python |
from tkinter import *
import random
import numpy as np
import pandas as pd
from tkinter import messagebox
from tkinter import filedialog
import serial
comment Settings
set root = call Tk
comment Size of window
call geometry string 950x400
comment Not resizable
call resizable 0 0
call configure background=string khaki
t... | from tkinter import *
import random
import numpy as np
import pandas as pd
from tkinter import messagebox
from tkinter import filedialog
import serial
##Settings
root = Tk()
root.geometry("950x400") #Size of window
root.resizable(0,0) #Not resizable
root.configure(background="khaki")
root.title("Glove data ... | Python | zaydzuhri_stack_edu_python |
import cv2
import os
import numpy as np
from random import shuffle
from tqdm import tqdm
import tflearn
from tflearn.layers.conv import conv_2d , max_pool_2d
from tflearn.layers.core import input_data , dropout , fully_connected
from tflearn.layers.estimator import regression
import pandas as pd
from csv import writer
... | import cv2
import os
import numpy as np
from random import shuffle
from tqdm import tqdm
import tflearn
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.estimator import regression
import pandas as pd
from csv import ... | Python | zaydzuhri_stack_edu_python |
string Implemente a função incomodam(n) que devolve uma string contendo "incomodam " (a palavra seguida de um espaço) n vezes. Se n não for um inteiro estritamente positivo, a função deve devolver uma string vazia. Essa função deve ser implementada utilizando recursão. Utilizando a função acima, implemente a função ele... | """
Implemente a função incomodam(n) que devolve uma string contendo "incomodam "
(a palavra seguida de um espaço) n vezes. Se n não for um inteiro estritamente positivo,
a função deve devolver uma string vazia. Essa função deve ser implementada utilizando recursão.
Utilizando a função acima, implemente a função ele... | Python | zaydzuhri_stack_edu_python |
from os import system
from models import Product , Department , Invoice , session , Admin
from getpass import getpass
from adminMenu import *
comment create_dept = Department(name="Cosmetic")
comment session.add(create_dept)
comment session.commit()
comment vaseline = Product(
comment name="Vaseline",
comment price=100... | from os import system
from models import Product, Department, Invoice, session,Admin
from getpass import getpass
from adminMenu import *
#
# create_dept = Department(name="Cosmetic")
# session.add(create_dept)
# session.commit()
#
# vaseline = Product(
# name="Vaseline",
# price=100,
# discount=... | Python | zaydzuhri_stack_edu_python |
comment Star Database
from orbtools import *
comment -------------------------------------------------------------------------------
comment Magnitude to luminosity (x Sun) conversion
comment -------------------------------------------------------------------------------
function mag2L mag
begin
return 10 ^ 4.85 - mag ... | ################################################################################
#
# Star Database
#
################################################################################
from orbtools import *
#-------------------------------------------------------------------------------
# Magnitude to luminosity (x Sun... | Python | zaydzuhri_stack_edu_python |
function discriminator_block in_filters out_filters normalization=true
begin
set layers = list conv 2d in_filters out_filters 4 stride=2 padding=1
if normalization
begin
append layers instance norm 2d out_filters
end
append layers leaky relu 0.2 inplace=true
return layers
end function | def discriminator_block(in_filters, out_filters, normalization=True):
layers = [nn.Conv2d(in_filters, out_filters, 4, stride=2, padding=1)]
if normalization:
layers.append(nn.InstanceNorm2d(out_filters))
layers.append(nn.LeakyReLU(0.2, inplace=True))
retur... | Python | nomic_cornstack_python_v1 |
comment Prepare epression for calculation.
comment For it, delete all spaces, and give negative numbers good form.
import re
from shared import *
from errors import *
function prepare_expression expression
begin
if length expression >= 0
begin
set wrong_functions = call is_good expression
if wrong_functions
begin
raise... | #Prepare epression for calculation.
#For it, delete all spaces, and give negative numbers good form.
import re
from shared import *
from errors import *
def prepare_expression(expression):
if len(expression) >= 0:
wrong_functions = is_good(expression)
if wrong_functions:
raise Unknown... | Python | zaydzuhri_stack_edu_python |
comment Write a function called hide_and_seek. The function should
comment have no parameters and return no value; instead, when
comment called, it should just print the numbers from 1 through 10,
comment follow by the text "Ready or not, here I come!". Each
comment number and the message at the end should be on its ow... | # Write a function called hide_and_seek. The function should
# have no parameters and return no value; instead, when
# called, it should just print the numbers from 1 through 10,
# follow by the text "Ready or not, here I come!". Each
# number and the message at the end should be on its own
# line.
#
# Then, call the f... | Python | zaydzuhri_stack_edu_python |
function __init__ self samples_per_cls no_of_classes gamma=2 beta=0.9999 use_gpu=true loss_type=string focal
begin
call __init__
set samples_per_cls = samples_per_cls
set no_of_classes = no_of_classes
set gamma = gamma
set beta = beta
set use_gpu = use_gpu
set loss_type = loss_type
end function | def __init__(self, samples_per_cls, no_of_classes, gamma=2, beta=0.9999, use_gpu=True, loss_type='focal'):
super(CBFocalLoss, self).__init__()
self.samples_per_cls = samples_per_cls
self.no_of_classes = no_of_classes
self.gamma = gamma
self.beta = beta
self.use_gpu = use_... | Python | nomic_cornstack_python_v1 |
comment 类变量和实例变量的查找顺序
class Student
begin
comment 学生总人数
set sum = 0
comment 类变量
set name = string 七月
set age = 0
function __init__ self name age
begin
comment 正确的实例变量表示方式,实例变量名仍然为name、age。
set name = name
comment self代表的就是实例对象本身；
set age = age
end function
end class
set student1 = call Student string 石敢当 6
print name
p... | #类变量和实例变量的查找顺序
class Student():
sum = 0 #学生总人数
name = '七月' #类变量
age = 0
def __init__(self,name,age):
self.name = name #正确的实例变量表示方式,实例变量名仍然为name、age。
self.age = age #self代表的就是实例对象本身；
student1 = Student('石敢当',6)
print(student1.name)
print(Student.name)
#用一个... | Python | zaydzuhri_stack_edu_python |
function test_connect rgd
begin
assert connected is true
end function | def test_connect(rgd):
assert rgd.connected is True | Python | nomic_cornstack_python_v1 |
import sys
class RobotCommand
begin
set _robot = 0
function __init__ self
begin
set _robot = 0
end function
function setRobot self robot
begin
set _robot = robot
end function
function doCommand self
begin
print string Commande vide file=stderr
end function
end class | import sys
class RobotCommand:
_robot = 0
def __init__(self):
_robot = 0
def setRobot(self, robot):
self._robot = robot
def doCommand(self):
print("Commande vide", file=sys.stderr)
| Python | zaydzuhri_stack_edu_python |
function _conf self **kwargs
begin
call _conf title=string spotu
end function | def _conf(self, **kwargs):
super()._conf(title='spotu') | Python | nomic_cornstack_python_v1 |
class Solution
begin
function singleNumber self nums
begin
set res = 0
for num in nums
begin
set res = res ? num
end
return res
end function
end class
if __name__ == string __main__
begin
set im = list 2 2 1
print call singleNumber im
end | class Solution:
def singleNumber(self, nums):
res = 0
for num in nums:
res ^= num
return res
if __name__ == '__main__':
im = [2,2,1]
print(Solution().singleNumber(im))
| Python | zaydzuhri_stack_edu_python |
comment Ian Letourneau
comment 4/25/2018
comment A script that takes parameters and returns values at nth point in either a fibonacci or lucas sequence
function fibonacci n
begin
string A function to return the nth number in the Fibonacci sequence
if not n
begin
return 0
end
else
if n == 1
begin
return 1
end
else
begin... | ## Ian Letourneau
## 4/25/2018
## A script that takes parameters and returns values at nth point in either a fibonacci or lucas sequence
def fibonacci(n):
"""A function to return the nth number in the Fibonacci sequence"""
if not n:
return 0
elif n == 1:
return 1
else:
return fibonacci(n-1) + fibonacci(n-2)
... | Python | zaydzuhri_stack_edu_python |
function test_show_combined_abc self
begin
set client = call Client
comment Create three tunes to go into database
comment with abc text
set tune1 = call TuneFactory name=string Tune 1 tune_type=call TuneTypeFactory tune_type_char=string reel
set abctune1 = call ABCTuneFactory tune=tune1
set abctune1peice1 = call ABCTu... | def test_show_combined_abc(self):
client = Client()
# Create three tunes to go into database
# with abc text
tune1 = factories.TuneFactory(
name = "Tune 1",
tune_type = factories.TuneTypeFactory(
tune_type_char = "reel"
)
)
... | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
set img = call imread string puppy.jpg
set tuple height width _ = call shape img
comment calculate the average color of each row of our image
set avg_color_per_row = call average img axis=0
comment calculate the averages of our rows
set avg_colors = call average avg_color_per_row axis=0
co... | import cv2
import numpy as np
img = cv2.imread('puppy.jpg')
height, width, _ = np.shape(img)
# calculate the average color of each row of our image
avg_color_per_row = np.average(img, axis=0)
# calculate the averages of our rows
avg_colors = np.average(avg_color_per_row, axis=0)
# avg_color is a tuple in BGR order ... | Python | zaydzuhri_stack_edu_python |
from c2 import People
class Man extends People
begin
set sum = 0
function __init__ self work name age
begin
call __init__ name age
comment super(Man, self).__init__(name, age)
comment People.__init__(self, name, age) # 父类构造函数调用时写入self的变量也写入了子类的self中
comment name和age通过父类写入self
set work = work
end function
comment 注意要传入s... | from c2 import People
class Man(People):
sum = 0
def __init__(self, work, name, age):
super().__init__(name, age)
# super(Man, self).__init__(name, age)
# People.__init__(self, name, age) # 父类构造函数调用时写入self的变量也写入了子类的self中
self.work = work # name和age通过父类写入self
def print_demo(s... | Python | zaydzuhri_stack_edu_python |
function _reset_journal self
begin
try
begin
if _journal
begin
close _journal
end
set _journal = none
set _poll = none
comment open the journal, limiting it to read logs since boot
set _journal = reader path=_journal_path
call this_boot
comment add any filters
for match in _matches
begin
call add_match match
end
commen... | def _reset_journal(self):
try:
if self._journal:
self._journal.close()
self._journal = None
self._poll = None
# open the journal, limiting it to read logs since boot
self._journal = journal.Reader(path=self._journal_path)
... | Python | nomic_cornstack_python_v1 |
import time , sys , os
comment Defines person's age & name
class person
begin
function __init__ self
begin
set name = string
set age = 0
end function
end class
set your = call person
comment Ask for name
function name questionName
begin
set inputName = string
while not is alpha inputName
begin
for x in questionName
b... | import time, sys, os
# Defines person's age & name
class person():
def __init__(self):
self.name = ''
self.age = 0
your = person()
# Ask for name
def name(questionName):
inputName = ''
while not inputName.isalpha():
for x in questionName:
sys.stdout.write(x)
sys.stdout.flush()
... | Python | zaydzuhri_stack_edu_python |
function test_new_create_resgate_successful self
begin
set payload = dict string value 500 ; string user user
set response = post RESGATE_URL payload
assert equal status_code HTTP_201_CREATED
end function | def test_new_create_resgate_successful(self):
payload = {
'value': 500,
'user': self.user
}
response = self.client.post(RESGATE_URL, payload)
self.assertEqual(response.status_code, status.HTTP_201_CREATED) | Python | nomic_cornstack_python_v1 |
function cached_value compute name typ=string pkl override=false debug=none
begin
set debug = debug or lambda msg -> none
if not DISABLE_CACHING and not override and call is_cached name typ
begin
debug format string Loading cached '{}'... name
try
begin
set result = call load_cache name typ
debug string ...done.
return... | def cached_value(compute, name, typ="pkl", override=False, debug=None):
debug = debug or (lambda msg: None)
if not DISABLE_CACHING and not override and is_cached(name, typ):
debug("Loading cached '{}'...".format(name))
try:
result = load_cache(name, typ)
debug("...done.")
return result
... | Python | nomic_cornstack_python_v1 |
import numpy as np
from pymatrix import Matrix
from pymatrix import Spmatrix
from pymatrix import Operation
import random
class FeatureMatrix extends Matrix
begin
decorator staticmethod
function create_rotation_matrix dimension p q theta rou=3
begin
set matrix_origin = call diagonal call Spmatrix dimension 1
set matrix... | import numpy as np
from pymatrix import Matrix
from pymatrix import Spmatrix
from pymatrix import Operation
import random
class FeatureMatrix(Matrix):
@staticmethod
def create_rotation_matrix(dimension, p, q, theta, rou=3):
matrix_origin = Spmatrix.diagonal(Spmatrix(), dimension, 1)
matrix_ori... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pylab as plt
set data = read csv string data1.csv
comment print(data.head())
comment print(data.dtypes)
comment training set
set X = data at string Input / 200
set Y = data at string Output
comment plot the graph
comment plt.plot(X,Y)
set m = length X
... | # -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pylab as plt
data = pd.read_csv("data1.csv")
#print(data.head())
#print(data.dtypes)
# training set
X = data['Input']/200
Y = data['Output']
# plot the graph
# plt.plot(X,Y)
m = len(X)
t0 = 0
t1 = 0
alpha = 0.001
def calc_hx(t0, t1, X):
hx = []
... | Python | zaydzuhri_stack_edu_python |
from collections import Counter
class Solution extends object
begin
function topKFrequent self nums k
begin
string :type nums: List[int] :type k: int :rtype: List[int]
set elemDict = dict
for elem in nums
begin
if elem not in elemDict
begin
set elemDict at elem = 1
end
else
begin
set elemDict at elem = elemDict at ele... | from collections import Counter
class Solution(object):
def topKFrequent(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: List[int]
"""
elemDict = {}
for elem in nums:
if elem not in elemDict:
elemDict[elem] = 1
... | Python | zaydzuhri_stack_edu_python |
function _minimax_decision gameState
begin
comment The built in `max()` function can be used as argmax!
return max call get_legal_moves key=lambda m -> call min_value call forecast_move m
end function | def _minimax_decision(gameState):
# The built in `max()` function can be used as argmax!
return max(gameState.get_legal_moves(),
key=lambda m: min_value(gameState.forecast_move(m))) | Python | nomic_cornstack_python_v1 |
function mirror self
begin
set screen_width = call get_width
set screen_height = call get_height
if centerx < 0 and vx < 0
begin
set centerx = screen_width
end
if centerx > screen_width
begin
set centerx = 0
end
if centery < 0 and vy < 0
begin
set centery = 0
end
if centery > screen_height and vy > 0
begin
set centery ... | def mirror(self):
screen_width = self.game.screen.get_width()
screen_height = self.game.screen.get_height()
if self.rect.centerx < 0 and self.vx < 0:
self.rect.centerx = screen_width
if self.rect.centerx > screen_width:
self.rect.centerx = 0
if s... | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
import numpy as np
import scipy.special
import matplotlib.pyplot as plt
comment 神经网络类定义
class nerualNetwork
begin
comment 初始化神经网络
function __init__ self inputNodes hiddenNodes outputNodes learningRate
begin
comment 设置神经网络输入层、隐藏层、输出层节点数量
set iNodes = inputNodes
set hNodes = hiddenNodes
set oNodes =... | # coding: utf-8
import numpy as np
import scipy.special
import matplotlib.pyplot as plt
# 神经网络类定义
class nerualNetwork:
# 初始化神经网络
def __init__(self, inputNodes, hiddenNodes, outputNodes, learningRate):
# 设置神经网络输入层、隐藏层、输出层节点数量
self.iNodes = inputNodes
self.hNodes = hiddenNo... | Python | zaydzuhri_stack_edu_python |
function solve t=none
begin
set prob = _models at 0
return call solve t
end function | def solve(t=None):
prob = _models[0]
return prob.solve(t) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment @Date : 2016-10-26 09:32:58
comment @Author : luckcul (tyfdream@gmail.com)
comment @Version : 2.7.12
class Solution extends object
begin
set mark = list 0 * 11
function find self k
begin
set cou = 0
for i in range 1 11
begin
if mark at i == 0
begin
set ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2016-10-26 09:32:58
# @Author : luckcul (tyfdream@gmail.com)
# @Version : 2.7.12
class Solution(object):
mark = [0]*11
def find(self, k):
cou = 0
for i in range(1, 11):
if self.mark[i] == 0:
cou += 1
... | Python | zaydzuhri_stack_edu_python |
function compare self other
begin
comment Nothing to do as name comparison will catch differences
return list
end function | def compare(self, other):
# Nothing to do as name comparison will catch differences
return [] | Python | nomic_cornstack_python_v1 |
function _attribute_names self
begin
set non_callables = list comprehension member at 0 for member in get members self lambda x -> not callable x
set attribute_names = list comprehension name for name in non_callables if call _is_public name
return attribute_names
end function | def _attribute_names(self) -> List[str]:
non_callables = [
member[0] for member in inspect.getmembers(self, lambda x: not callable(x))
]
attribute_names = [name for name in non_callables if self._is_public(name)]
return attribute_names | Python | nomic_cornstack_python_v1 |
function GetBasenameFromMojoApp url
begin
set index = reverse find url string /
return if expression index != - 1 then url at slice index + 1 : : else url
end function | def GetBasenameFromMojoApp(url):
index = url.rfind('/')
return url[(index + 1):] if index != -1 else url | Python | nomic_cornstack_python_v1 |
function normalize_crosscut xcut
begin
comment Normalize
return xcut / 4 * call nanstd xcut at call isfinite xcut
end function | def normalize_crosscut(xcut):
# Normalize
return xcut / (4 * np.nanstd(xcut[np.isfinite(xcut)])) | Python | nomic_cornstack_python_v1 |
function validate_choice choice func_dict
begin
try
begin
set func = func_dict at upper choice
end
except any
begin
comment raise ValueError(f"Invalid Selection. Got: {choice}.")
info string Invalid Selction. Got: { choice }
if active_user is not none
begin
call logged_in_main active_user
end
else
begin
call main
end
e... | def validate_choice(choice, func_dict):
try:
func = func_dict[choice.upper()]
except:
#raise ValueError(f"Invalid Selection. Got: {choice}.")
logger.info(f"Invalid Selction. Got: {choice}")
if active_user is not None:
logged_in_main(active_user)
else:
... | Python | nomic_cornstack_python_v1 |
function first self
begin
string Return the first result. If there are no results, raises :exc:`~bloop.exceptions.ConstraintViolation`. :return: The first result. :raises bloop.exceptions.ConstraintViolation: No results.
call reset
set value = next self none
if value is none
begin
raise call ConstraintViolation format ... | def first(self):
"""Return the first result. If there are no results, raises :exc:`~bloop.exceptions.ConstraintViolation`.
:return: The first result.
:raises bloop.exceptions.ConstraintViolation: No results.
"""
self.reset()
value = next(self, None)
if value is ... | Python | jtatman_500k |
function read_an_object target_file
begin
with open target_file string rb as backup_file
begin
set pick = call Unpickler backup_file
return load pick
end
end function | def read_an_object(target_file):
with open(target_file, "rb") as backup_file:
pick = pickle.Unpickler(backup_file)
return pick.load() | Python | nomic_cornstack_python_v1 |
function validate_user self user_id
begin
raise NotImplementedError
end function | def validate_user(self, user_id: int):
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
function create_carbon_dioxide_level_sensor_service
begin
set service = call FakeService string public.hap.service.sensor.carbon-dioxide
set cur_state = call add_characteristic string carbon-dioxide.level
set value = 0
return service
end function | def create_carbon_dioxide_level_sensor_service():
service = FakeService("public.hap.service.sensor.carbon-dioxide")
cur_state = service.add_characteristic("carbon-dioxide.level")
cur_state.value = 0
return service | Python | nomic_cornstack_python_v1 |
function batchseeds args
begin
from jcvi.formats.pdf import cat
set xargs = args at slice 1 : :
set p = call OptionParser __doc__
set tuple opts args iopts = call add_seeds_options p args
if length args != 1
begin
exit not call print_help
end
set tuple folder = args
set folder = right strip folder string /
set outdir... | def batchseeds(args):
from jcvi.formats.pdf import cat
xargs = args[1:]
p = OptionParser(batchseeds.__doc__)
opts, args, iopts = add_seeds_options(p, args)
if len(args) != 1:
sys.exit(not p.print_help())
(folder,) = args
folder = folder.rstrip("/")
outdir = folder + "-debug"
... | Python | nomic_cornstack_python_v1 |
from selenium import webdriver
from selenium.webdriver.common.by import By
import time
import logging
call basicConfig level=INFO format=string %(asctime)s - %(levelname)s - %(funcName)s : %(message)s datefmt=string %H:%M:%S filename=string autentificare_log file.log
class LogareCont extends object
begin
function __ini... | from selenium import webdriver
from selenium.webdriver.common.by import By
import time
import logging
logging.basicConfig(level=logging.INFO,
format="%(asctime)s - %(levelname)s - %(funcName)s : %(message)s",
datefmt= "%H:%M:%S",
filename="autentificare... | Python | zaydzuhri_stack_edu_python |
function get_best_state self
begin
return best_state
end function | def get_best_state(self):
return self.best_state | Python | nomic_cornstack_python_v1 |
function add_dihedral_restraint self i j k l exp_Jcoupling model_Jcoupling=none equivalency_index=none karplus_key=string Karplus_HH
begin
comment if the modeled Jcoupling value is not specified, compute it from the
comment angle corresponding to the conformation, and the Karplus relation
if model_Jcoupling == none
beg... | def add_dihedral_restraint(self, i, j, k, l, exp_Jcoupling, model_Jcoupling=None,
equivalency_index=None, karplus_key="Karplus_HH"):
# if the modeled Jcoupling value is not specified, compute it from the
# angle corresponding to the conformation, and the Karplus relation... | Python | nomic_cornstack_python_v1 |
function test_load_permissions_on_identity_loaded app
begin
call InvenioAccess app
with call test_request_context
begin
call send call _get_current_object identity=call AnonymousIdentity
assert provides == set literal any_user
end
with call test_request_context
begin
set user = call create_test_user string test@example... | def test_load_permissions_on_identity_loaded(app):
InvenioAccess(app)
with app.test_request_context():
identity_changed.send(current_app._get_current_object(),
identity=AnonymousIdentity())
assert g.identity.provides == {any_user}
with app.test_request_context... | Python | nomic_cornstack_python_v1 |
for t in range integer input
begin
set J = set input
set S = list input
set gems = 0
for i in J
begin
set gems = gems + count S i
end
print gems
end | for t in range(int(input())):
J = set(input())
S = list(input())
gems = 0
for i in J:
gems += S.count(i)
print(gems) | Python | zaydzuhri_stack_edu_python |
import numpy as np
comment pos def metric
function random_wishart nmod
begin
set vars = list comprehension 1.0 / decimal nmod ^ 1.0 / 2.0 for i in range nmod + 2
comment A = np.array([np.random.normal(loc = 0, scale = vars[pp],size = nmod )for pp in range(nmod)])
set A00 = call normal loc=0 scale=vars at nmod + 1
set A... | import numpy as np
def random_wishart(nmod): # pos def metric
vars = [1./np.float(nmod)**(1./2.) for i in range(nmod + 2)]
#A = np.array([np.random.normal(loc = 0, scale = vars[pp],size = nmod )for pp in range(nmod)])
A00 = np.random.normal(loc = 0, scale = vars[nmod + 1])
A0a = np.array(np.random.nor... | Python | zaydzuhri_stack_edu_python |
function test_auto_search_double cls
begin
call setup_mmp_data_for_mms name string SMILES string ID string PIC50 3 0.50001
call generate_store_mmp_series sgl_or_dbl_or_both=string double
comment print cls.test_mmp_series_object.series_df.to_csv()
set result_df = call auto_search 5 3 strict_ordering=true
comment print(r... | def test_auto_search_double(cls):
cls.test_mmp_series_object.setup_mmp_data_for_mms(cls.temp_file_input_csv_double.name,
'SMILES', 'ID', 'PIC50',
3, 0.50001)
cls.test_mmp_series_object.ge... | Python | nomic_cornstack_python_v1 |
function decode_simulation_run xml nsmap
begin
set decodings = list tuple string cim_info false decode_cim_info string self::cim:simulationRun tuple string date_range false decode_closed_date_range string child::cim:dateRange/cim:closedDateRange tuple string date_range false decode_open_date_range string child::cim:dat... | def decode_simulation_run(xml, nsmap):
decodings = [
('cim_info', False, decode_cim_info, 'self::cim:simulationRun'),
('date_range', False, decode_closed_date_range, 'child::cim:dateRange/cim:closedDateRange'),
('date_range', False, decode_open_date_range, 'child::cim:dateRange/cim:openDateR... | Python | nomic_cornstack_python_v1 |
import requests
import string
import random
function rand_str
begin
return join string generator expression random choice digits for _ in range 10
end function
function register
begin
set uname = call rand_str
set pwd = call rand_str
post string http://pwnable.org:2333/user/register data=dict string username uname ; s... | import requests
import string
import random
def rand_str():
return ''.join(random.choice(string.digits) for _ in range(10))
def register():
uname = rand_str()
pwd = rand_str()
requests.post("http://pwnable.org:2333/user/register", data={'username':uname, 'password':pwd})
return uname, pwd
def log... | Python | zaydzuhri_stack_edu_python |
string Q.4 Python program for fibonacci numbers
set n = integer input string Enter a no=
set tuple n1 n2 = tuple 0 1
set count = 0
comment l1=[]
if n <= 0
begin
print string Invalid, please enter a positive integger
end
else
if n == 1
begin
print string Fabonacci sequence upto n string :
print n1
end
else
begin
print s... | '''Q.4 Python program for fibonacci numbers'''
n=int(input("Enter a no= "))
n1, n2 = 0, 1
count = 0
# l1=[]
if n <= 0:
print("Invalid, please enter a positive integger")
elif n == 1:
print("Fabonacci sequence upto", n,":")
print(n1)
else:
print("Fabonacci sseries upto", n,":")
while count < n:
... | Python | zaydzuhri_stack_edu_python |
comment 单分支：
set name = string 赵志强
if name == string 赵志强
begin
print string 老单身狗%s % name
end
comment 双分支：
set girl_friend = string
if girl_friend
begin
print string 恭喜啊，居然有女朋友了
end
else
begin
print string 求求你快恋爱吧.%s. % name
end
comment 多分支：
string 判断成绩档次小程序 90-100 A 80-89 B 60-79 C 40-59 D 0 -39 E 程序启动，用户输入成绩，根据成绩打印等... | #单分支：
name = '赵志强'
if name=='赵志强':
print('老单身狗%s'%name)
#双分支：
girl_friend = ''
if girl_friend:
print('恭喜啊，居然有女朋友了')
else:
print('求求你快恋爱吧.%s.'%name)
#多分支：
'''
判断成绩档次小程序
90-100 A
80-89 B
60-79 C
40-59 D
0 -39 E
程序启动，用户输入成绩，根据成绩打印等级
'''
score = int(input('请输入你的成绩：'))
if 90<= score <= 100:
print('A')
elif 79<s... | Python | zaydzuhri_stack_edu_python |
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