code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment !/usr/bin/env python3
string Create Masks https://www.tensorflow.org/tutorials/text/transformer#masking
import tensorflow.compat.v2 as tf
function create_masks inputs target
begin
string creates all masks for training/validation Args: inputs: tf.Tensor of shape (batch_size, seq_len_in) that contains the input s... | #!/usr/bin/env python3
'''Create Masks
https://www.tensorflow.org/tutorials/text/transformer#masking
'''
import tensorflow.compat.v2 as tf
def create_masks(inputs, target):
'''creates all masks for training/validation
Args:
inputs: tf.Tensor of shape (batch_size, seq_len_in) that contains the
... | Python | zaydzuhri_stack_edu_python |
import cv2
set img = call imread string ..\Photos\question.jpg
image show string Original img
function rescale_frame frame scale=0.5
begin
comment works for images, video and live video
set width = integer shape at 1 * scale
set height = integer shape at 0 * scale
set dimensions = tuple width height
return call resize ... | import cv2
img = cv2.imread('..\Photos\question.jpg')
cv2.imshow('Original',img)
def rescale_frame(frame,scale=0.5):
#works for images, video and live video
width=int(frame.shape[1]*scale)
height=int(frame.shape[0]*scale)
dimensions = (width,height)
return cv2.resize(frame,dimensions,i... | Python | zaydzuhri_stack_edu_python |
function attrSetCallback **kwargs
begin
set do_calls = list
for name in keys kwargs
begin
if starts with name string _
begin
raise call PrivateFunctionalityError name
end
if starts with name string do__
begin
append do_calls name at slice 4 : :
del kwargs at name
end
end
function attrSet_callback widget=none
begin
fo... | def attrSetCallback(**kwargs):
do_calls = []
for name in kwargs.keys():
if name.startswith("_"):
raise exceptions.PrivateFunctionalityError(name)
if name.startswith("do__"):
do_calls.append(name[4:])
del kwargs[name]
def attrSet_callback(widget=None):
for name,value in kwargs.items():
setattr(wid... | Python | nomic_cornstack_python_v1 |
async function get_hash identifier
begin
return hex digest md5 encode identifier string utf8
end function | async def get_hash(identifier):
return hashlib.md5(identifier.encode('utf8')).hexdigest() | Python | nomic_cornstack_python_v1 |
import pandas as pd
import matplotlib.pyplot as plt
comment Loading the data from a csv into a pandas dataframe
set Banned_Maps = read csv string Data/banned_maps_stats.csv
set Maps_picked = read csv string Data/map_pick_stats.csv
set Player_Stats = read csv string Data/player_stats.csv
set CTorTsided = read csv string... | import pandas as pd
import matplotlib.pyplot as plt
#Loading the data from a csv into a pandas dataframe
Banned_Maps = pd.read_csv("Data/banned_maps_stats.csv")
Maps_picked = pd.read_csv("Data/map_pick_stats.csv")
Player_Stats = pd.read_csv("Data/player_stats.csv")
CTorTsided = pd.read_csv("Data/side_pick_stats... | Python | zaydzuhri_stack_edu_python |
function CreatePersoData nPerso=10 properties=dict preferences=list string clim string mur string passage string sonnerie string wc string weightEtage string window
begin
set dicoPersos = dict string Nom list comprehension string Dummy%d % i for i in range nPerso
set persoData = call DataFrame dicoPersos
for tuple pro... | def CreatePersoData( nPerso=10,
properties = {},
preferences = ['clim', 'mur', 'passage', 'sonnerie', 'wc', 'weightEtage', 'window']
) :
dicoPersos = {'Nom' : ['Dummy%d'%(i) for i in range(nPerso)]}
persoData = pd.DataFrame( dicoPersos)
for p... | Python | nomic_cornstack_python_v1 |
import os
import pickle
import imageio
import numpy as np
from typing import Callable
function save_tif_to_numpy_pkl base_path=join path string .. string data string Coastal-InSAR file_name=string imgs_numpy.pkl
begin
string read tif files and convert them in a pickle file base_path: str -- directory containing tiff fi... | import os
import pickle
import imageio
import numpy as np
from typing import Callable
def save_tif_to_numpy_pkl(
base_path: str = os.path.join("..", "data", "Coastal-InSAR"),
file_name: str = "imgs_numpy.pkl",
) -> None:
"""read tif files and convert them in a pickle file\n
base_path: st... | Python | zaydzuhri_stack_edu_python |
function colour_code_segmentation image label_values
begin
comment w = image.shape[0]
comment h = image.shape[1]
comment x = np.zeros([w,h,3])
comment colour_codes = label_values
comment for i in range(0, w):
comment for j in range(0, h):
comment x[i, j, :] = colour_codes[int(image[i, j])]
set label_values = list compr... | def colour_code_segmentation(image, label_values):
# w = image.shape[0]
# h = image.shape[1]
# x = np.zeros([w,h,3])
# colour_codes = label_values
# for i in range(0, w):
# for j in range(0, h):
# x[i, j, :] = colour_codes[int(image[i, j])]
label_values = [label_values[key] for key in label_values]... | Python | nomic_cornstack_python_v1 |
comment 349. Intersection of Two Arrays
comment Given two arrays, write a function to compute their intersection.
comment Example:
comment Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
comment Output: [9,4]
comment Note:
comment Each element in the result must be unique.
comment The result can be in any order.
comment So... | # 349. Intersection of Two Arrays
# Given two arrays, write a function to compute their intersection.
# Example:
# Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
# Output: [9,4]
# Note:
# Each element in the result must be unique.
# The result can be in any order.
# Solution 1 using set:
class Solution:
def inte... | Python | zaydzuhri_stack_edu_python |
import pytest
string This program will check if the login has the correct information given certain inputs of username and password. The first test will pass because the username and the password are the correct information. The second test will fail due to the username of 'wronguser' and the password of 'wrongpassword... | import pytest
"""
This program will check if the login has the correct information
given certain inputs of username and password. The first test will
pass because the username and the password are the correct
information. The second test will fail due to the username of
'wronguser' and the ... | Python | zaydzuhri_stack_edu_python |
import re
function strip string el=string
begin
if el != string
begin
set stringRegex = compile el
end
else
begin
set stringRegex = compile string (^\s)?(\s$)?
end
return sub string string
end function
set text = input
set letter = input
print strip text letter
print strip text | import re
def strip(string, el=' '):
if el != ' ':
stringRegex = re.compile(el)
else:
stringRegex = re.compile(r'(^\s)?(\s$)?')
return stringRegex.sub('', string)
text = input()
letter = input()
print(strip(text, letter))
print(strip(text))
| Python | zaydzuhri_stack_edu_python |
import unittest
from assembly import AssemblyChip , READ , WRITE , RUN , global_inc
string TODO: * test bounds checks for add/subtract/move with acc * test multiple cascading MOV ops * test remaining ops (
set DEBUG = true
function debug msg
begin
if DEBUG
begin
print string msg
end
end function
function parse program
... | import unittest
from assembly import AssemblyChip, READ, WRITE, RUN, global_inc
'''
TODO:
* test bounds checks for add/subtract/move with acc
* test multiple cascading MOV ops
* test remaining ops (
'''
DEBUG = True
def debug(msg):
if DEBUG:
print(str(msg))
def parse(program):
# remove extra white... | Python | zaydzuhri_stack_edu_python |
function give_meta_output self
begin
set out = string
set out = out + call output
if inputs
begin
set out = out + call output
end
return out
end function | def give_meta_output(self):
out = ''
out += self.meta.output()
if self.inputs:
out += self.inputs.output()
return out | Python | nomic_cornstack_python_v1 |
import cv2
comment Classifies a given image into one of the breed classes
function classify image
begin
comment Retrieve the breed classes from the database
set breeds = call get_breeds
set closest_distance = decimal string inf
set closest_breed = none
comment Create a feature descriptor for the image
set feature_descr... | import cv2
# Classifies a given image into one of the breed classes
def classify(image):
# Retrieve the breed classes from the database
breeds = get_breeds()
closest_distance = float('inf')
closest_breed = None
# Create a feature descriptor for the image
feature_descriptor = cv2.xfeatur... | Python | jtatman_500k |
function create_user self
begin
comment TODO-ROB: This is used ONLY when the user registers in flask
comment TODO-ROB: Create the cookiecutter.json file
comment extra_context overrides user and default configs
call cookiecutter user_cookie no_input=true extra_context=dict string user_name user output_dir=users
end func... | def create_user(self):
# TODO-ROB: This is used ONLY when the user registers in flask
# TODO-ROB: Create the cookiecutter.json file
# extra_context overrides user and default configs
cookiecutter(self.user_cookie, no_input=True, extra_context={"user_name": self.user}, output_dir=self.u... | Python | nomic_cornstack_python_v1 |
function __lt__ self *args
begin
return call ctext_position_t___lt__ self *args
end function | def __lt__(self, *args):
return _ida_hexrays.ctext_position_t___lt__(self, *args) | Python | nomic_cornstack_python_v1 |
function __init__ self model settings
begin
call __init__ self
set settings = settings
call ValidateAndAssignDefaults call GetDefaultParameters
set distance_processes = list
set model_part = model at call GetString
set boundaries_names = call GetStringArray
set distance_calculator_settings = parameters KM
call AddValu... | def __init__(self, model, settings):
KM.Process.__init__(self)
self.settings = settings
self.settings.ValidateAndAssignDefaults(self.GetDefaultParameters())
self.distance_processes = []
self.model_part = model[self.settings["computing_model_part_name"].GetString()]
bou... | Python | nomic_cornstack_python_v1 |
function get_initial_states energies num_istates_to_generate prefactor average_excitation_energy ref_state
begin
set nstates = length energies
comment Obtain energy of first step for each electronic states
set initial_excitation_energies = list
for state in range nstates
begin
set ref_energy = energies at ref_state at... | def get_initial_states( energies, num_istates_to_generate, prefactor, average_excitation_energy, ref_state ):
nstates = len(energies)
# Obtain energy of first step for each electronic states
initial_excitation_energies = []
for state in range( nstates ):
ref_energy = energies[ref_state][... | Python | nomic_cornstack_python_v1 |
function setUp self
begin
set apiproxy = call APIProxyStubMap
set mox = call Mox
call StubOutWithMock apiproxy string MakeSyncCall
end function | def setUp(self):
apiproxy_stub_map.apiproxy = apiproxy_stub_map.APIProxyStubMap()
self.mox = mox.Mox()
self.mox.StubOutWithMock(apiproxy_stub_map.apiproxy,
'MakeSyncCall') | Python | nomic_cornstack_python_v1 |
function download_pil_image self url
begin
return open url open url
end function | def download_pil_image(self, url):
return Image.open(urlopen(url)) | Python | nomic_cornstack_python_v1 |
import sys
import time
import math
function inpl
begin
return list map int split input
end function
set st = performance counter
comment ------------------------------
set tuple A B K = map int split input
set ans = list
for i in range 1 min A B + 1
begin
if A % i == 0 and B % i == 0
begin
append ans i
end
end
print a... | import sys
import time
import math
def inpl():
return list(map(int, input().split()))
st = time.perf_counter()
# ------------------------------
A, B, K = map(int, input().split())
ans = []
for i in range(1, min(A, B)+1):
if A%i == 0 and B%i == 0:
ans.append(i)
print(ans[len(ans)-K])
# -------------------------... | Python | zaydzuhri_stack_edu_python |
comment Import the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
comment Importing the dataset
set dataset = read csv string Data.csv
set X = values
set y = values
comment Encoding categorical data
from sklearn.preprocessing import LabelEncoder
comment from sklearn.preprocessing impor... | # Import the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Data.csv')
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, 3].values
# Encoding categorical data
from sklearn.preprocessing import LabelEncoder
#from sklearn.p... | Python | zaydzuhri_stack_edu_python |
function merge_many outpath *paths auto_open_zips=true
begin
if not paths
begin
raise call ValueError string must have at least one path!
end
if exists path outpath
begin
call deldir outpath
end
make directories outpath
set cur_all = none
for path in paths
begin
set to_rezip = list
if auto_open_zips
begin
set to_rezip... | def merge_many(outpath: str, *paths, auto_open_zips=True):
if not paths:
raise ValueError(f'must have at least one path!')
if os.path.exists(outpath):
filetools.deldir(outpath)
os.makedirs(outpath)
cur_all = None
for path in paths:
to_rezip = []
if au... | Python | nomic_cornstack_python_v1 |
function test_unboxing_multiply
begin
set m_per_s = call unit string m / call unit string s
set s_per_m = call unit string s / call unit string m
assert call m_per_s 5 * call s_per_m 5 == 25
end function | def test_unboxing_multiply():
m_per_s = unit('m') / unit('s')
s_per_m = unit('s') / unit('m')
assert m_per_s(5) * s_per_m(5) == 25 | Python | nomic_cornstack_python_v1 |
comment 带参数的装饰器
import time
print string 带参数的装饰器
comment 装饰器函数
function timmer f
begin
function inner *args **kwargs
begin
set start = time
comment 被装饰的函数 热接受f()的返回值'ls'
set ret = f dist *args keyword kwargs
set end = time
print end - start
comment inner函数返回值ret
return ret
end function
return inner
end function
decorat... | # 带参数的装饰器
import time
print('带参数的装饰器')
def timmer(f): # 装饰器函数
def inner(*args, **kwargs):
start = time.time()
ret = f(*args, **kwargs) # 被装饰的函数 热接受f()的返回值'ls'
end = time.time()
print(end - start)
return ret # inner函数返回值ret
return inner
@timmer # 语法... | Python | zaydzuhri_stack_edu_python |
function make_dict answer
begin
string Make dictionary form list answer - list of colors
comment dic = {i: answer[i] for i in range(len(answer))}
comment dict(zip(range(len(answer)), answer))
return dictionary comprehension i : answer at i for i in range length answer
end function | def make_dict(answer):
"""
Make dictionary form list
answer - list of colors
"""
# dic = {i: answer[i] for i in range(len(answer))}
return {i: answer[i] for i in range(len(answer))} #dict(zip(range(len(answer)), answer)) | Python | zaydzuhri_stack_edu_python |
function test_delete_query_index_failure self
begin
with assert raises CloudantArgumentError as cm
begin
call delete_query_index none string special string _all_docs
end
set err = exception
assert equal string err string Invalid index type: special. Index type must be either "json" or "text".
end function | def test_delete_query_index_failure(self):
with self.assertRaises(CloudantArgumentError) as cm:
self.db.delete_query_index(None, 'special', '_all_docs')
err = cm.exception
self.assertEqual(
str(err),
'Invalid index type: special. '
'Index type mus... | Python | nomic_cornstack_python_v1 |
function challenge_get self environ start_response
begin
set redirect = get environ at string tiddlyweb.query string tiddlyweb_redirect list string / at 0
set template = call get_template environ string login_form.html
set headers = list
comment If the current user is expired, log them out as part of this
comment requ... | def challenge_get(self, environ, start_response):
redirect = (environ['tiddlyweb.query'].
get('tiddlyweb_redirect', ['/'])[0])
template = templating.get_template(environ, 'login_form.html')
headers = []
# If the current user is expired, log them out as part of this
... | Python | nomic_cornstack_python_v1 |
from selenium import webdriver
set driver = call Chrome executable_path=string C:\Drivers\Chrome\chromedriver.exe
get driver string https://www.seleniumeasy.com/test/table-pagination-demo.html
set rows = length call find_elements_by_xpath string //*[@id='myTable']/tr
set cols = length call find_elements_by_xpath string... | from selenium import webdriver
driver = webdriver.Chrome(executable_path = "C:\Drivers\Chrome\chromedriver.exe")
driver.get("https://www.seleniumeasy.com/test/table-pagination-demo.html")
rows=(len(driver.find_elements_by_xpath("//*[@id='myTable']/tr")))
cols=(len(driver.find_elements_by_xpath("//*[@id='myTable']... | Python | zaydzuhri_stack_edu_python |
from abc import ABC , abstractmethod
class BaseAgent extends ABC
begin
decorator abstractmethod
function get_action self state env
begin
pass
end function
decorator abstractmethod
function learn self state action next_state reward
begin
pass
end function
end class | from abc import ABC, abstractmethod
class BaseAgent(ABC):
@abstractmethod
def get_action(self, state, env):
pass
@abstractmethod
def learn(self, state, action, next_state, reward):
pass
| Python | zaydzuhri_stack_edu_python |
from covid19.main import COVID
set negara = string Indo
set covid = call COVID
get covid
set dataAktif = call getActive country=negara
for data in dataAktif
begin
comment Take the name of the country
print string Negara: + data at string country
comment Retrieves active corona data
print string Aktif : + string data at... | from covid19.main import COVID
negara = "Indo"
covid = COVID()
covid.get()
dataAktif = covid.getActive(country=negara)
for data in dataAktif:
print ("Negara: " + data["country"]) # Take the name of the country
print ("Aktif : " + str(data["active"])) # Retrieves active corona data
print ("-" * 25)
| Python | zaydzuhri_stack_edu_python |
function answer request
begin
set question = GET at string question
sleep 0.5
try
begin
set answerDic = call getAnswers question
set answer = answerDic at string answer
end
except IndexError
begin
set answer = string Jag har inget svar på din fråga: + question
set answerDic = dict string confidence 1
end
return call Re... | def answer(request):
question = request.GET['question']
sleep(0.5)
try:
answerDic = queryAnalyzer.getAnswers(question)
answer = answerDic['answer']
except IndexError:
answer = "Jag har inget svar på din fråga: " + question
answerDic = {"confidence": 1}
return Response({"answer": answer, "con... | Python | nomic_cornstack_python_v1 |
comment -*- coding: iso-8859-1 -*-
import pygame
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GLU import *
from random import uniform
import math
from Vector2D import *
from Paddle import *
from Block import *
from Pelota import *
from Score import *
from utils import *
from Vista import *
comment Fu... | # -*- coding: iso-8859-1 -*-
import pygame
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GLU import *
from random import uniform
import math
from Vector2D import *
from Paddle import *
from Block import *
from Pelota import *
from Score import *
from utils import *
from Vista import *
################... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
from obspy.core import read , UTCDateTime , Stream
import matplotlib.pyplot as plt
from scipy import signal
import matplotlib as mpl
from itertools import combinations
import numpy as np
set debug = true
comment Importing and applying font
call rc string font family=string serif
call rc str... | #!/usr/bin/env python
from obspy.core import read, UTCDateTime, Stream
import matplotlib.pyplot as plt
from scipy import signal
import matplotlib as mpl
from itertools import combinations
import numpy as np
debug = True
# Importing and applying font
mpl.rc('font', family = 'serif')
mpl.rc('font', serif = 'Times')
mp... | Python | zaydzuhri_stack_edu_python |
import turtle
set man = call Turtle
backward man 100
comment green
call color string green
call begin_fill
call forward 350
call left 90
call forward 150
call left 90
call forward 350
call left 90
call forward 150
call left 90
call end_fill
call forward 350
comment orange
call color string orange
call begin_fill
call l... | import turtle
man = turtle.Turtle();
man.backward(100)
#green
man.color("green")
man.begin_fill()
man.forward(350)
man.left(90)
man.forward(150)
man.left(90)
man.forward(350)
man.left(90)
man.forward(150)
man.left(90)
man.end_fill()
man.forward(350)
#orange
man.color("orange")
man.begin_fill()
man.left(90)
man.forwar... | Python | zaydzuhri_stack_edu_python |
import random
set rzut = call randrange 1 7
set guess = integer input string Podaj, ile oczek kostki wyrzucił komputer:
if guess == rzut
begin
set x = true
end
else
begin
set x = false
end
print format string Komputer wyrzucił: {} rzut
print format string Zgadłeś: {} ({}) guess x | import random
rzut = random.randrange(1,7)
guess = int(input("Podaj, ile oczek kostki wyrzucił komputer: "))
if guess == rzut: x=True
else: x=False
print("Komputer wyrzucił: {}".format(rzut))
print("Zgadłeś: {} ({})".format(guess,x)) | Python | zaydzuhri_stack_edu_python |
function exchange_first_last seq
begin
set first = seq at slice 0 : 1 :
set middle = seq at slice 1 : - 1 :
set last = seq at slice - 1 : :
set seq_copy = last + middle + first
return seq_copy
end function | def exchange_first_last(seq):
first = seq[0:1]
middle = seq[1:-1]
last = seq[-1:]
seq_copy = last + middle + first
return seq_copy | Python | nomic_cornstack_python_v1 |
import copy
function check_perf f *args
begin
import time
set n = 10
set t0 = time
for i in range n
begin
f dist *args
end
set t1 = time
return t1 - t0 / n
end function
class CrazyRobot
begin
set pointsX = list 1 - 1 0 0
set pointsY = list 0 0 - 1 1
function __init__ self prob depth
begin
set depth = depth
set prob = l... | import copy
def check_perf(f, *args):
import time
n = 10
t0 = time.time()
for i in range(n):
f(*args)
t1 = time.time()
return (t1 - t0) / n
class CrazyRobot:
pointsX = [1, -1, 0, 0]
pointsY = [0, 0, -1, 1]
def __init__(self, prob, depth):
self... | Python | zaydzuhri_stack_edu_python |
function get_common_class y_train
begin
comment Get the unique labels and their counts
set labels = list
set counts = list
for label in y_train
begin
if label in labels
begin
set idx = index labels label
set counts at idx = counts at idx + 1
end
else
begin
append labels label
append counts 0
end
end
comment Get the i... | def get_common_class(y_train):
# Get the unique labels and their counts
labels = []
counts = []
for label in y_train:
if label in labels:
idx = labels.index(label)
counts[idx] = counts[idx] + 1
else:
labels.append(label)
counts.append(0)
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
set plane_rows = 128
set plane_columns = 8
function compute_id p
begin
set tuple binf bsup = tuple 0 plane_rows - 1
for letter in p at slice : 7 :
begin
if letter == string F
begin
set bsup = bsup - integer bsup - binf + 1 / 2
end
else
begin
set binf = binf + integer bsup - binf + 1 / 2
e... | #!/usr/bin/env python
plane_rows = 128
plane_columns = 8
def compute_id(p):
binf, bsup = 0, plane_rows - 1
for letter in p[:7]:
if letter == "F":
bsup -= int((bsup - binf + 1) / 2)
else:
binf += int((bsup - binf + 1) / 2)
row = bsup
binf, bsup = 0, plane_colum... | Python | zaydzuhri_stack_edu_python |
function add_args_to_parser self parser recursive=false prefix=string
begin
function str2bool v
begin
if lower v in tuple string yes string true string on string t string 1
begin
return true
end
else
if lower v in tuple string no string false string off string f string 0
begin
return false
end
else
begin
raise call Val... | def add_args_to_parser(self, parser, recursive=False, prefix=''):
def str2bool(v):
if v.lower() in ("yes", "true", "on", "t", "1"):
return True
elif v.lower() in ("no", "false", "off", "f", "0"):
return False
else:
raise ValueE... | Python | nomic_cornstack_python_v1 |
function getInstanceMethod self inClass method
begin
call sendConvertSpecial string getInstanceMethod:InClass: %s %s % tuple method inClass
return call readResponseConvertNL
end function | def getInstanceMethod(self,inClass,method):
self.sendConvertSpecial("getInstanceMethod:InClass:\t%s\t%s"%(method,inClass))
return self.readResponseConvertNL() | Python | nomic_cornstack_python_v1 |
import telebot
set bot = call TeleBot string 1435978036:AAGmJOMQv4q89TU0q8Qinq8fSDkdoiFSJYo
decorator call message_handler commands=list string start
comment weRtr_bot
function start m
begin
print id
call send_message id string Hello! /size for setting size of room
call register_next_step_handler m picker
end function
... | import telebot;
bot = telebot.TeleBot('1435978036:AAGmJOMQv4q89TU0q8Qinq8fSDkdoiFSJYo');
#weRtr_bot
@bot.message_handler(commands=['start'])
def start(m):
print(m.chat.id)
bot.send_message(m.chat.id,'Hello! \n /size for setting size of room \n')
bot.register_next_step_handler(m, picker)
def picker... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
from datetime import datetime
import os
import pdb
set DATAROOT = string /home/ryan/ml/harrisTrader/data/
function close_prices symbol
begin
set filename = DATAROOT + symbol + string .csv
set history = read csv filename index_col=0
return size
end function
function percent_change_... | import pandas as pd
import numpy as np
from datetime import datetime
import os
import pdb
DATAROOT = "/home/ryan/ml/harrisTrader/data/"
def close_prices(symbol):
filename = DATAROOT + symbol + ".csv"
history = pd.read_csv(filename, index_col=0)
return history.values[:,5].size
def percent_change_single(s... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
import sys
import csv
import string
set f = open string stop-word-list.csv
set reader = reader f
set onestop = next
set stopList = list
for word in onestop
begin
append stopList strip word
end
set exclude = set punctuation + digits
function firstLetter word
begin
set initialLetter = word at 0
... | #!/usr/bin/python
import sys
import csv
import string
f = open("stop-word-list.csv")
reader = csv.reader(f)
onestop = reader.next()
stopList = []
for word in onestop:
stopList.append(word.strip())
exclude=set(string.punctuation+string.digits)
def firstLetter(word):
initialLetter = word[0] | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Sun Mar 19 21:02:57 2017 @author: priyanshu
string Using this Script videos,audios can be downloaded from various sites like facebook, youtube,9gag,Soundcloud etc Follow the Commands in the console Make changes as neccesary suggest changes at :- contactme@priyanshuhazra.t... | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 19 21:02:57 2017
@author: priyanshu
"""
"""
Using this Script videos,audios can be downloaded from various sites like facebook,
youtube,9gag,Soundcloud etc
Follow the Commands in the console
Make changes as neccesary
suggest changes at :- contactme@priyanshuhazra.tk / pr... | Python | zaydzuhri_stack_edu_python |
function getDefaultApplicationTools
begin
Ellipsis
end function | def getDefaultApplicationTools() -> java.util.Set:
... | Python | nomic_cornstack_python_v1 |
function run_parser self cls extension write=false
begin
set filenames = get SAMPLES extension list
assert length filenames >= 1
for filename in filenames
begin
set tuple fname ext = call splitext filename
set tuple path fname = split path fname
print string
print filename
set spec = call cls filename
print spec
if wri... | def run_parser(self, cls, extension, write=False):
filenames = SAMPLES.get(extension, [])
assert len(filenames) >= 1
for filename in filenames:
fname, ext = os.path.splitext(filename)
path, fname = os.path.split(fname)
print('')
print(filename)
... | Python | nomic_cornstack_python_v1 |
function get_block_device_list vars=dict log=stderr
begin
comment make sure we can access to the files/directories in /proc
if not call access PROC_PARTITIONS_PATH F_OK
begin
return none
end
comment table with valid scsi/sata/ide/raid block device names
set valid_blk_names = dict
comment add in valid sd and hd block ... | def get_block_device_list(vars = {}, log = sys.stderr):
# make sure we can access to the files/directories in /proc
if not os.access(PROC_PARTITIONS_PATH, os.F_OK):
return None
# table with valid scsi/sata/ide/raid block device names
valid_blk_names = {}
# add in valid sd and hd block devi... | Python | nomic_cornstack_python_v1 |
function build_model max_seq_len vocab_size emb_size learning_rate encoder_type pretrained_target=true pretrained_input=false input_trainable=false pre_embs=none
begin
comment Build the TF graph on the GPU.
with device string /device:GPU:0
begin
call reset_default_graph
comment Batch of input definitions (glosses).
set... | def build_model(max_seq_len,
vocab_size,
emb_size,
learning_rate,
encoder_type,
pretrained_target=True,
pretrained_input=False,
input_trainable=False,
pre_embs=None):
# Build the TF graph ... | Python | nomic_cornstack_python_v1 |
comment Ahad Bawany
comment Daily code 6/30:
comment Given 2 lists of numbers, find the intersection point within them
comment Lists to test our function
set a = list 1 2 3 5 6 8 9
set b = list 0 7 5 6 7 8
comment Given a list, a, and a list, b, return the intersection
function findIntersect a b
begin
comment Ensure bo... | # Ahad Bawany
# Daily code 6/30:
# Given 2 lists of numbers, find the intersection point within them
# Lists to test our function
a = [1, 2, 3, 5, 6, 8, 9]
b = [0, 7, 5, 6, 7, 8]
# Given a list, a, and a list, b, return the intersection
def findIntersect(a,b):
# Ensure both a and b exist
if ... | Python | zaydzuhri_stack_edu_python |
for i in range 1 n + 1
begin
set n = n - i
if n == 0
begin
print string patlu
break
end
set o = 2 * i
set n = n - o
print n
set i = i + 1
if n == 0 or n < 0
begin
print string motu
break
end
end | for i in range(1,n+1):
n=n-i
if n==0:
print("patlu")
break
o=2*i
n=n-o
print(n)
i=i+1
if n==0 or n<0:
print("motu")
break
| Python | zaydzuhri_stack_edu_python |
comment https://www.reddit.com/r/dailyprogrammer/comments/4savyr/20160711_challenge_275_easy_splurthian_chemistry/
function verifySymbol chemical symbol
begin
set chemical = list chemical
set chemical = list comprehension lower x for x in chemical
set symbol = list symbol
if index chemical lower symbol at 0 >= 0
begin
... | # https://www.reddit.com/r/dailyprogrammer/comments/4savyr/20160711_challenge_275_easy_splurthian_chemistry/
def verifySymbol(chemical, symbol):
chemical = list(chemical)
chemical = [x.lower() for x in chemical]
symbol = list(symbol)
if chemical.index(symbol[0].lower()) >= 0:
if chemical.index... | Python | zaydzuhri_stack_edu_python |
import os
import shutil
print string Copia de Archivos
set nombre = input string Ingrese El Nombre Del Archivo [ A ]:
function creartxt
begin
set txt = open nombre + string .txt string w
close txt
end function
function guardartxt
begin
set txt = open nombre + string .txt string a
write txt input string Ingrese El Texto... | import os
import shutil
print("Copia de Archivos")
nombre = input("Ingrese El Nombre Del Archivo [ A ]: ")
def creartxt():
txt = open(nombre + '.txt', 'w')
txt.close()
def guardartxt():
txt = open(nombre + '.txt', 'a')
txt.write(input('Ingrese El Texto: '))
txt.close()
def le... | Python | zaydzuhri_stack_edu_python |
comment function to find maximum number
set n1 = integer input string Enter 1st number:
set n2 = integer input string Enter 2nd number:
set n3 = integer input string Enter 3rd number:
function max a b c
begin
if a > b and a > c
begin
print a string is the largest number
end
else
if b > a and b > c
begin
print b string ... | #function to find maximum number
n1= int(input('Enter 1st number:'))
n2= int(input('Enter 2nd number:'))
n3= int(input('Enter 3rd number:'))
def max(a,b,c):
if a>b and a>c:
print(a,'is the largest number')
elif b>a and b>c:
print(b, 'is the largest number')
else:
print(c, 'is the lar... | Python | zaydzuhri_stack_edu_python |
function count_characters input_string
begin
set char_count = dict
for char in input_string
begin
if char in char_count
begin
set char_count at char = char_count at char + 1
end
else
begin
set char_count at char = 1
end
end
return char_count
end function
set input_str = string Hello, World!
set character_counts = call... | def count_characters(input_string):
char_count = {}
for char in input_string:
if char in char_count:
char_count[char] += 1
else:
char_count[char] = 1
return char_count
input_str = "Hello, World!"
character_counts = count_characters(input_str)
print(characte... | Python | jtatman_500k |
comment !/usr/bin/env python
comment take in raw text values from server,
comment parse into variables for main RasPlanter program
class ServerCommand
begin
function __init__ self raw_string
begin
set command = split raw_string string ::
set command_type = command at 0
set command_data = command at 1
end function
funct... | #!/usr/bin/env python
#take in raw text values from server,
#parse into variables for main RasPlanter program
class ServerCommand:
def __init__(self, raw_string):
command = raw_string.split("::")
self.command_type = command[0]
self.command_data = command[1]
def get_command_type(self):
return self.command_... | Python | zaydzuhri_stack_edu_python |
import sys
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import tqdm
import os
import numpy as np
import time
from data_sets.data_set_utils import *
from nets.pruner import Pruner
from render import render
from matplotlib import cm
from torch.optim.adam import Adam
from ... | import sys
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import tqdm
import os
import numpy as np
import time
from data_sets.data_set_utils import *
from nets.pruner import Pruner
from render import render
from matplotlib import cm
from torch.optim.adam import Adam
fr... | Python | zaydzuhri_stack_edu_python |
function weirdwalk n a b
begin
set alice = 0
set bob = 0
set total = 0
for i in range n
begin
if a at i == b at i and alice == bob
begin
set total = total + a at i
end
set alice = alice + a at i
set bob = bob + b at i
end
return total
end function
set test = integer input
for i in range test
begin
set n = integer input... | def weirdwalk(n, a, b):
alice = 0
bob = 0
total = 0
for i in range(n):
if((a[i]==b[i]) and (alice==bob)):
total+=a[i]
alice+=a[i]
bob+=b[i]
return total
test = int(input())
for i in range(test):
n = int(input())
a = list(map(int, input().split()))
b = list(map(int, input().split()))
... | Python | zaydzuhri_stack_edu_python |
function get_args
begin
set parser = call ArgumentParser description=string Runner for tasks
call add_argument string --db_url help=string Database url string to the db. required=true
return call parse_args
end function | def get_args():
parser = argparse.ArgumentParser(description='Runner for tasks')
parser.add_argument('--db_url', help='Database url string to the db.', required=True)
return parser.parse_args() | Python | nomic_cornstack_python_v1 |
from random import uniform , choice , random
from math import exp
set nbobjects = 1000
set objects = dictionary comprehension k : dict string value uniform 40 50 ; string weight uniform 1 5 for k in range nbobjects
set max_weight = 100
set sack = dict
set o = copy objects
set s = copy sack
set T = 10
set value = 0
whi... | from random import uniform, choice, random
from math import exp
nbobjects = 1000
objects = {k: {'value': uniform(40, 50), 'weight': uniform(1, 5)} for k in range(nbobjects)}
max_weight = 100
sack = {}
o = objects.copy()
s = sack.copy()
T = 10
value = 0
while T > .01:
i = choice(list(objects.keys()))
sack[i] =... | Python | zaydzuhri_stack_edu_python |
function fit_anonymous self struct1 struct2
begin
set tuple min_rms min_mapping = call get_minimax_rms_anonymous struct1 struct2
if min_rms is none or min_rms > stol
begin
return none
end
else
begin
return min_mapping
end
end function | def fit_anonymous(self, struct1, struct2):
min_rms, min_mapping = self.get_minimax_rms_anonymous(struct1, struct2)
if min_rms is None or min_rms > self.stol:
return None
else:
return min_mapping | Python | nomic_cornstack_python_v1 |
function test_portfolio_what_if self
begin
pass
end function | def test_portfolio_what_if(self):
pass | Python | nomic_cornstack_python_v1 |
function __eq__ self other
begin
if not is instance other APIToken
begin
return false
end
return __dict__ == __dict__
end function | def __eq__(self, other):
if not isinstance(other, APIToken):
return False
return self.__dict__ == other.__dict__ | Python | nomic_cornstack_python_v1 |
function get_aliases_string trembl_list
begin
set aliases_list = list
for row in trembl_list
begin
set psimi_trembl = string trembl: + row at 1
append aliases_list psimi_trembl
end
return join string | aliases_list
end function | def get_aliases_string(trembl_list):
aliases_list = []
for row in trembl_list:
psimi_trembl = "trembl:" + row[1]
aliases_list.append(psimi_trembl)
return "|".join(aliases_list) | Python | nomic_cornstack_python_v1 |
function fix_logs_paths img_dir data_frame
begin
set pathfn = lambda p -> join path img_dir split p string / at - 1
set center = apply center pathfn
set left = apply left pathfn
set right = apply right pathfn
end function | def fix_logs_paths(img_dir, data_frame):
pathfn = lambda p: os.path.join(img_dir, p.split('/')[-1])
data_frame.center = data_frame.center.apply(pathfn)
data_frame.left = data_frame.left.apply(pathfn)
data_frame.right = data_frame.right.apply(pathfn) | Python | nomic_cornstack_python_v1 |
class Node
begin
function __init__ self value next
begin
set value = value
set next = next
end function
function printList self
begin
set head = self
while head != none
begin
print value end=string
set head = next
end
end function
end class | class Node:
def __init__(self, value, next):
self.value = value
self.next = next
def printList(self):
head = self
while head != None:
print(head.value,end='\t')
head = head.next
| Python | zaydzuhri_stack_edu_python |
function get_ppis self ppi_df
begin
string Generate Complex Statements from the HPRD PPI data. Parameters ---------- ppi_df : pandas.DataFrame DataFrame loaded from the BINARY_PROTEIN_PROTEIN_INTERACTIONS.txt file.
info string Processing PPIs...
for tuple ix row in call iterrows
begin
set agA = call _make_agent row at ... | def get_ppis(self, ppi_df):
"""Generate Complex Statements from the HPRD PPI data.
Parameters
----------
ppi_df : pandas.DataFrame
DataFrame loaded from the BINARY_PROTEIN_PROTEIN_INTERACTIONS.txt
file.
"""
logger.info('Processing PPIs...')
... | Python | jtatman_500k |
import sqlite3
set conn = call connect string employees.db
set cursor = call cursor
comment Create the emloyee table
execute cursor string CREATE TABLE employee( emp_code text, last_name text, first_name text, age integer, gender text, salary DECIMAL(10,5), city text, state text, country text )
comment make changes to ... | import sqlite3
conn=sqlite3.connect("employees.db")
cursor=conn.cursor()
#Create the emloyee table
cursor.execute("""CREATE TABLE employee(
emp_code text,
last_name text,
first_name text,
age integer,
gender text,
salary DECIMAL(10,5),
... | Python | zaydzuhri_stack_edu_python |
from functions import matcher_functions
from util import helper
from util import models
import numpy as np
import logging
set MIN_MATCHES = 350
function find_next_key_frame idx1 idx2
begin
string Finds point matches that are preserved between idx1 and idx2 :param idx1: index to start with :param idx2: index to end with... | from functions import matcher_functions
from util import helper
from util import models
import numpy as np
import logging
MIN_MATCHES = 350
def find_next_key_frame(idx1, idx2):
'''
Finds point matches that are preserved between idx1 and idx2
:param idx1: index to start with
:param idx2: index to end ... | Python | zaydzuhri_stack_edu_python |
function list_tags
begin
set tags = all
return call render_template string tags.html tags=tags
end function | def list_tags():
tags = Tag.query.order_by(Tag.name).all()
return render_template('tags.html', tags=tags) | Python | nomic_cornstack_python_v1 |
function split_string line nth
begin
return list comprehension integer line at slice i : i + nth : for i in range 0 length line nth
end function | def split_string(line, nth):
return [int(line[i:i+nth]) for i in range(0, len(line), nth)] | Python | nomic_cornstack_python_v1 |
while f
begin
set n = integer input string введите число 0=exit :
if n == 0
begin
break
end
set a = list comprehension i for i in range n + 1
set b = list
print a
for i in range 2 n
begin
if i ^ 2 <= n and a at i != 0
begin
for j in range i ^ 2 n + 1 i
begin
set a at j = 0
end
end
end
comment print(a)
for i in range n... | while f:
n=int(input('введите число 0=exit : '))
if n==0: break
a= [i for i in range(n+1)]
b=[]
print (a)
for i in range(2,n):
if (i**2<=n) and (a[i]!=0):
for j in range(i**2,n+1,i):
a[j]=0
#print(a)
for i in range(n+1):
if a[i]!=0... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Mon Feb 22 19:23:14 2016 297. Serialize and Deserialize Binary Tree Total Accepted: 13261 Total Submissions: 49776 Difficulty: Medium Serialization is the process of converting a data structure or object into a sequence of bits so that it can be stored in a file or memory... | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 22 19:23:14 2016
297. Serialize and Deserialize Binary Tree
Total Accepted: 13261 Total Submissions: 49776 Difficulty: Medium
Serialization is the process of converting a data structure or object into a sequence of bits so
that it can be stored in a file or memory buf... | Python | zaydzuhri_stack_edu_python |
function move self game_map player
begin
comment Move the entity by their current_speed
set death_state = none
set results = list
set tuple dx dy = hex_directions at direction
for speed in range 0 current_speed
begin
set new_x = x + dx
if dx == 0
begin
set new_y = y + dy
end
else
begin
set new_y = y + dy + x % 2
end
c... | def move(self, game_map, player):
# Move the entity by their current_speed
death_state = None
results = []
dx, dy = hex_directions[self.direction]
for speed in range(0, self.current_speed):
new_x = self.owner.x + dx
if dx == 0:
new_y = self... | Python | nomic_cornstack_python_v1 |
function __create_author_investigator_str self
begin
string When investigators is empty, try to get authors from the first publication instead. :return str author: Author names
set _author = string
try
begin
for pub in noaa_data_sorted at string Publication
begin
if string author in pub
begin
if pub at string author
b... | def __create_author_investigator_str(self):
"""
When investigators is empty, try to get authors from the first publication instead.
:return str author: Author names
"""
_author = ""
try:
for pub in self.noaa_data_sorted["Publication"]:
if "auth... | Python | jtatman_500k |
function parameter_bounds self
begin
set membership_mat = call asarray coefficients_mat
set rhs_vec = rhs_vec
set parameter_bounds = list
for i in range shape at 1
begin
set col = call column membership_mat i
set ub = min list generator expression col at j * rhs_vec at j for j in range length rhs_vec
set lb = 0
append... | def parameter_bounds(self):
membership_mat = np.asarray(self.coefficients_mat)
rhs_vec = self.rhs_vec
parameter_bounds = []
for i in range(membership_mat.shape[1]):
col = column(membership_mat, i)
ub = min(list(col[j] * rhs_vec[j] for j in range(len(rhs_vec))))
... | Python | nomic_cornstack_python_v1 |
function add_large_numbers string1 string2
begin
comment Check if the numbers are negative
set is_negative1 = string1 at 0 == string -
set is_negative2 = string2 at 0 == string -
comment Remove the negative sign if present
if is_negative1
begin
set string1 = string1 at slice 1 : :
end
if is_negative2
begin
set string... | def add_large_numbers(string1, string2):
# Check if the numbers are negative
is_negative1 = string1[0] == "-"
is_negative2 = string2[0] == "-"
# Remove the negative sign if present
if is_negative1:
string1 = string1[1:]
if is_negative2:
string2 = string2[1:]
# Make the numb... | Python | jtatman_500k |
function get_model cls
begin
if model == none
begin
set graph = call get_default_graph
comment with open(os.path.join(model_path, 'modelo_lstm.h5'), 'rb') as inp:
print string carregando modelo em join path model_path string modelo_lstm.h5
set model = call load_model join path model_path string modelo_lstm.h5
end
retur... | def get_model(cls):
if cls.model == None:
cls.graph = tf.get_default_graph()
#with open(os.path.join(model_path, 'modelo_lstm.h5'), 'rb') as inp:
print('carregando modelo em ', os.path.join(model_path, 'modelo_lstm.h5'))
cls.model = load_model(os.path.jo... | Python | nomic_cornstack_python_v1 |
class Employee
begin
function __init__ self name salary role
begin
set name = name
set salary = salary
set role = role
end function
function __str__ self
begin
return string The name is { name } , salary is { salary } and role is { role }
end function
function __repr__ self
begin
return string Employee(' { name } ',' {... | class Employee:
def __init__(self,name,salary,role):
self.name=name
self.salary=salary
self.role=role
def __str__(self):
return f"The name is {self.name}, salary is {self.salary} and role is {self.role}"
def __repr__(self):
return f"Employee('{self.name}','{... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
comment encoding: utf-8
comment Programita 1 | #! /usr/bin/env python
# encoding: utf-8
# Programita 1 | Python | zaydzuhri_stack_edu_python |
function run self
begin
set counter = 0
comment Reporting frequency
set counter_increment = 1000
set last_time = 0
if call get_param string record_queue_state
begin
comment Add event to query queue state.
set query_interval = 1
set report_queue_state = call RecordQueueState servers stats_manager query_interval
put tupl... | def run(self):
counter = 0
counter_increment = 1000 # Reporting frequency
last_time = 0
if get_param("record_queue_state"):
# Add event to query queue state.
query_interval = 1
report_queue_state = RecordQueueState(self.servers,
... | Python | nomic_cornstack_python_v1 |
import pdb
from models.album import Album
from models.artist import Artist
import repositories.album_repository as album_repository
import repositories.artist_repository as artist_repository
import os
call system string psql -d music_collection -f db/music_collection.sql
set artist1 = call Artist string Ozzy
set artist... | import pdb
from models.album import Album
from models.artist import Artist
import repositories.album_repository as album_repository
import repositories.artist_repository as artist_repository
import os
os.system('psql -d music_collection -f db/music_collection.sql')
artist1 = Artist('Ozzy')
artist2 = Artist('Imagin... | Python | zaydzuhri_stack_edu_python |
function onSwitchHotSeatPlayer self argsList
begin
set ePlayer = argsList at 0
end function | def onSwitchHotSeatPlayer(self, argsList):
ePlayer = argsList[0] | Python | nomic_cornstack_python_v1 |
class Name
begin
function name_func self
begin
print string My name is { name }
end function
end class
set miah = call Name
set name = string Dulal
call name_func | class Name :
def name_func(self):
print(f"My name is {self.name}")
miah = Name()
miah.name = 'Dulal'
miah.name_func() | Python | zaydzuhri_stack_edu_python |
comment Write a program to read through the mbox-short.txt and figure out who has the sent the greatest number of mail messages. The program looks for 'From ' lines and takes the second word of those lines as the person who sent the mail. The program creates a Python dictionary that maps the sender's mail address to a ... | #Write a program to read through the mbox-short.txt and figure out who has the sent the greatest number of mail messages. The program looks for 'From ' lines and takes the second word of those lines as the person who sent the mail. The program creates a Python dictionary that maps the sender's mail address to a count o... | Python | zaydzuhri_stack_edu_python |
import numpy as np
comment from copy import deepcopy
comment dont use that
function basic_pso f S n bounds maxit w phi_p phi_g verbose
begin
comment basic particle swarm optimization (PSO)
comment f is the function to minimize, f:R^n -> R
comment S is the number of particle in the swarm
comment n is the dimension of th... | import numpy as np
# from copy import deepcopy
#dont use that
def basic_pso(f, S, n, bounds, maxit, w, phi_p, phi_g, verbose):
# basic particle swarm optimization (PSO)
# f is the function to minimize, f:R^n -> R
# S is the number of particle in the swarm
# n is the dimension of the search space
# ... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
string 逻辑回归
import pickle
from django.core.cache import cache
from sklearn.linear_model import LogisticRegression
function logistic_regression label title
begin
string :param label: X 特征数据 :param title: Y 标示学习样本为 0 or 1 数据预测 clf.predict(data: list) liblinear 小量数据效果更好 sag or saga 适合大量数据 :return:
set... | # coding=utf-8
"""逻辑回归"""
import pickle
from django.core.cache import cache
from sklearn.linear_model import LogisticRegression
def logistic_regression(label: list, title: list):
"""
:param label: X 特征数据
:param title: Y 标示学习样本为 0 or 1
数据预测 clf.predict(data: list)
liblinear 小量数据效果更好
sag or sag... | Python | zaydzuhri_stack_edu_python |
function _compress_snapshots self
begin
set C_shape = tuple shape at 1 shape at 0
if compression_matrix is string uniform
begin
set C = uniform 0 1 size=C_shape
end
else
if compression_matrix is string sparse
begin
set C = random *C_shape density=1.0
end
else
if compression_matrix is string normal
begin
set C = call no... | def _compress_snapshots(self):
C_shape = (self._snapshots.shape[1], self._snapshots.shape[0])
if self.compression_matrix is 'uniform':
C = np.random.uniform(0, 1, size=(C_shape))
elif self.compression_matrix is 'sparse':
C = scipy.sparse.random(*C_shape, density=1.)
elif self.compression_matrix is 'norm... | Python | nomic_cornstack_python_v1 |
import unittest
set weed = list string white widow string orange bud string bubble kush
set weed at 0 = string start
set number = integer input string what do you want
print weed at number
input string hi
class TestStringMethods extends TestCase
begin
function test_upper self
begin
assert equal upper string foo string ... | import unittest
weed = ["white widow", "orange bud", "bubble kush"]
weed[0] = "start"
number =int(input("what do you want"))
print(weed[number])
input("hi")
class TestStringMethods(unittest.TestCase):
def test_upper(self):
self.assertEqual('foo'.upper(), 'FO') | Python | zaydzuhri_stack_edu_python |
function projection_sphere k_array r=5 o=array list 0 0 1
begin
comment Inputs:
comment - k_array: ndarray, shape (n,3)
comment - r: float/int
comment - o: ndarray, shape (3,)
comment Outputs:
comment - p: ndarray, shape (n,3)
set d = r / call mag k_array
set D = T
set p = o + k_array * D
return p
end function | def projection_sphere(k_array, r=5, o=np.array([0, 0, 1])):
# Inputs:
# - k_array: ndarray, shape (n,3)
# - r: float/int
# - o: ndarray, shape (3,)
#
# Outputs:
# - p: ndarray, shape (n,3)
d = r / lattices.mag(k_array)
D = np.vstack((d, d, d)).T
p = ... | Python | nomic_cornstack_python_v1 |
from __future__ import division
import pandas as pd
import numpy as np
import math
class ItemCF extends object
begin
function __init__ self method=string base alpha=0.6 normalized=false
begin
string @function: 算法参数初始化 @param: method {string} 相似度计算方法 {“base”,"iuf","harryPotter"} alpha harryPotter方法的参数 参数范围 [0,1] normali... | from __future__ import division
import pandas as pd
import numpy as np
import math
class ItemCF(object):
def __init__(self, method="base", alpha=0.6,normalized=False):
"""
@function: 算法参数初始化
@param: method {string} 相似度计算方法 {“base”,"iuf","harryPotter"}
alpha harr... | Python | zaydzuhri_stack_edu_python |
function set_due_date self new_due_date
begin
set order_due_date = new_due_date
save
end function | def set_due_date(self, new_due_date):
self.order_due_date = new_due_date
self.save() | Python | nomic_cornstack_python_v1 |
function test_metric_angle_between_lines self
begin
set tuple x1 y1 = call symbols string x1 y1 real=true
set P0 = call point 0 0 0
set P1 = call point x1 y1 0
set P2 = call point - y1 x1 0
comment TODO: this feels weird... but ganja does the same
set l0 = call Jinv call J P0 ? call J P1
set l1 = call Jinv call J P2 ? ... | def test_metric_angle_between_lines(self):
x1, y1 = symbols('x1 y1', real=True)
P0 = self.point(0, 0, 0)
P1 = self.point(x1, y1, 0)
P2 = self.point(-y1, x1, 0)
l0 = Jinv(J(P0) ^ J(P1)) # TODO: this feels weird... but ganja does the same
l1 = Jinv(J(P2) ^ J(P0)) #
... | Python | nomic_cornstack_python_v1 |
string 旅馆预订系统，写程序，烙印，要自己设计几个类，和预定，删除，和给出一天，返回空房树，不难， 但很多不确定的，烙印也不给力，想他确认，他就说你看怎么好。
comment not enough time to prepare, but share some thoughts | '''
旅馆预订系统，写程序，烙印，要自己设计几个类，和预定，删除，和给出一天，返回空房树，不难，
但很多不确定的，烙印也不给力，想他确认，他就说你看怎么好。
'''
# not enough time to prepare, but share some thoughts | Python | zaydzuhri_stack_edu_python |
function get_available_shipping_methods self
begin
return list comprehension m for m in call available shop=shop products=product_ids if call is_available_for self
end function | def get_available_shipping_methods(self):
return [
m for m
in ShippingMethod.objects.available(shop=self.shop, products=self.product_ids)
if m.is_available_for(self)
] | Python | nomic_cornstack_python_v1 |
import math
from collections import defaultdict
from collections.abc import Sequence
from functools import cache
from typing import Any , Iterable
from misc.Tester import FastDijkstra , State
from solver import Clue , Clues , ConstraintSolver , generators
from solver.constraint_solver import Constraint
from solver.gene... | import math
from collections import defaultdict
from collections.abc import Sequence
from functools import cache
from typing import Any, Iterable
from misc.Tester import FastDijkstra, State
from solver import Clue, Clues, ConstraintSolver, generators
from solver.constraint_solver import Constraint
from solver.generato... | Python | zaydzuhri_stack_edu_python |
function make_file cus shop count
begin
set cus_file_name = string d:/cus_ + string count + string .txt
set shop_file_name = string d:/shop_ + string count + string .txt
set cus_file = open cus_file_name string w
set shop_file = open shop_file_name string w
write lines cus_file cus
write lines shop_file shop
close cus_... | def make_file(cus ,shop ,count):
cus_file_name = 'd:/cus_'+str(count)+'.txt'
shop_file_name = 'd:/shop_'+str(count)+'.txt'
cus_file = open(cus_file_name , 'w')
shop_file = open(shop_file_name , 'w')
cus_file.writelines(cus)
shop_file.writelines(shop)
cus_file.close()
shop_file.close()
... | Python | zaydzuhri_stack_edu_python |
import random
set l = integer input string Enter the length of motif
set file = open string mot.txt string r
set r = read file
print string Sequence r
set size = length r
print string Size of the sequence size
set pos = random integer 0 length r - 5
comment pos=1
print string Position pos
set motif = r at slice pos : p... | import random
l=int(input("Enter the length of motif"))
file=open("mot.txt","r")
r=file.read()
print("Sequence",r)
size=len(r)
print("Size of the sequence",size)
pos=random.randint(0,len(r)-5)
#pos=1
print("Position",pos)
motif=r[pos:pos+l]
print("Motif",motif)
i=pos+1
while(i<=size-1):
if(motif... | Python | zaydzuhri_stack_edu_python |
function submit_job self workflow job_params
begin
comment type: (Union[Workflow, Dict[str, Any]], Dict[str, Any]) -> Job
set submit_url = format string {}/{} __base_url url_suffix
set data = dict string job job_params ; string workflow if expression is instance workflow Workflow then call serialize else workflow
set r... | def submit_job(self, workflow, job_params):
# type: (Union[Workflow, Dict[str, Any]], Dict[str, Any]) -> Job
submit_url = '{}/{}'.format(self.__base_url, Job.url_suffix)
data = {
'job': job_params,
'workflow': workflow.serialize() if isinstance(workflow, Workflow) else wo... | Python | nomic_cornstack_python_v1 |
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