code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function decrease_brightness img
begin
set step = 10
set width = call getWidth
set height = call getHeight
for x in range width
begin
for y in range height
begin
set tuple r g b = call getPixel x y
set r_new = r - step
set g_new = g - step
set b_new = b - step
set tuple r2 g2 b2 = call fix_rgb r_new g_new b_new
call se... | def decrease_brightness(img):
step = 10
width = img.getWidth()
height = img.getHeight()
for x in range(width):
for y in range(height):
r,g,b = img.getPixel(x,y)
r_new = (r - step)
g_new = (g - step)
b_new = (b - step)
r2,g2,b2 = fix_rgb... | Python | nomic_cornstack_python_v1 |
function bias_variable shape name=none
begin
return call Variable call constant 0.01 shape=shape name=name
end function | def bias_variable(shape, name=None):
return tf.Variable(tf.constant(0.01, shape=shape), name=name) | Python | nomic_cornstack_python_v1 |
string Tests for executing database commands
import pytest
function test_create_tables setup_person_query
begin
set tuple ctx block = call setup_person_query
set expected = string CREATE TABLE IF NOT EXISTS person ( id INTEGER PRIMARY KEY, name TEXT, age INTEGER );
assert call create_tables == expected
end function
com... | """ Tests for executing database commands """
import pytest
def test_create_tables(setup_person_query):
ctx, block = setup_person_query()
expected = """\
CREATE TABLE IF NOT EXISTS person (
id INTEGER PRIMARY KEY,
name TEXT,
age INTEGER
);"""
assert ctx.create_tables() == expected
# TODO: assert sche... | Python | zaydzuhri_stack_edu_python |
function token_to_sentence text
begin
set regex_of_sentence = find all TEXT_TO_SENTENCES_REGEX text
set text_sentences = list comprehension strip x for x in regex_of_sentence if x is not string
return text_sentences
end function | def token_to_sentence(text):
regex_of_sentence = re.findall(TEXT_TO_SENTENCES_REGEX, text)
text_sentences = [x.strip() for x in regex_of_sentence if x is not '']
return text_sentences | Python | nomic_cornstack_python_v1 |
from PIL import Image
set image_beach = open string images/beach.jpg
comment print(image_beach.size)
comment print(image_beach.format)
set image_combined = call new string RGB size
set tuple width height = size
print string Width: { width }
print string Height: { height }
set pixels_beach = load image_beach
comment pri... | from PIL import Image
image_beach = Image.open('images/beach.jpg')
# print(image_beach.size)
# print(image_beach.format)
image_combined = Image.new('RGB', image_beach.size)
(width, height) = image_beach.size
print(f'Width: {width}')
print(f'Height: {height}')
pixels_beach = image_beach.load()
# print(pixels_beach[... | Python | zaydzuhri_stack_edu_python |
import rhinoscriptsyntax as rs
set ptt = call GetPoint string Pick starting point
function createColoredCylinder x y z r g b
begin
set currentColor = list r g b
call AddPoint x y z
set pt = tuple x y z
set cr = call AddCylinder pt x + y / 4 5
call ObjectColor cr currentColor
end function
call EnableRedraw false
set ste... | import rhinoscriptsyntax as rs
ptt = rs.GetPoint("Pick starting point")
def createColoredCylinder(x,y,z,r,g,b):
currentColor = [r,g,b]
rs.AddPoint(x,y,z)
pt = (x,y,z)
cr = rs.AddCylinder(pt, (x + y) / 4, 5)
rs.ObjectColor(cr, currentColor)
rs.EnableRedraw(False)
step = 10
... | Python | zaydzuhri_stack_edu_python |
import string
import random
set game_board = none
set visible_board = none
set num_mines = 10
set width = 10
set height = 10
function letters begin=string A end=string Z
begin
set begin_ord = ordinal begin
set end_ord = ordinal end
for number in call xrange begin_ord end_ord + 1
begin
yield character number
end
end fun... | import string
import random
game_board = None
visible_board = None
num_mines = 10
width = 10
height = 10
def letters(begin='A', end='Z'):
begin_ord = ord(begin)
end_ord = ord(end)
for number in xrange(begin_ord, end_ord+1):
yield chr(number)
def generate_boards():
global visible_board
glo... | Python | zaydzuhri_stack_edu_python |
function sum_elements X
begin
set sums = 0
for i in range length X
begin
for j in range length X at i
begin
set sums = sums + X at i at j
end
end
return sums
end function
print call sum_elements X | def sum_elements(X):
sums = 0
for i in range(len(X)):
for j in range(len(X[i])):
sums+=X[i][j]
return sums
print(sum_elements(X)) | Python | jtatman_500k |
import numpy as np
function generate_bin length lev g_bin
begin
if lev == 0
begin
call generate_bin length lev + 1 list 1
end
else
if lev < length - 1
begin
append g_bin 0
call generate_bin length lev + 1 g_bin
pop g_bin
append g_bin 1
call generate_bin length lev + 1 g_bin
pop g_bin
end
else
begin
append g_bin 1
for i... | import numpy as np
def generate_bin(length, lev, g_bin) :
if lev==0 : generate_bin(length, lev+1, [1])
elif lev<length-1 :
g_bin.append(0)
generate_bin(length, lev+1, g_bin)
g_bin.pop()
g_bin.append(1)
generate_bin(length, lev+1, g_bin)
g_bin.pop()
else :
g_bin.append(1)
for i in range(... | Python | zaydzuhri_stack_edu_python |
function get_vertical_order_tree
begin
set root = call TreeNode 0
set left = call TreeNode 8
set right = call TreeNode 1
set left = call TreeNode 3
set right = call TreeNode 4
set right = call TreeNode 7
set right = call TreeNode 2
set left = call TreeNode 5
set left = call TreeNode 6
return root
end function | def get_vertical_order_tree():
root = TreeNode(0)
root.left = TreeNode(8)
root.right = TreeNode(1)
root.right.left = TreeNode(3)
root.right.left.right = TreeNode(4)
root.right.left.right.right = TreeNode(7)
root.right.right = TreeNode(2)
root.right.right.left = TreeNode(5)
root.rig... | Python | nomic_cornstack_python_v1 |
function generate_counts_subparser subparsers
begin
string Adds a sub-command parser to `subparsers` to make a counts query.
set parser = call add_parser string counts description=COUNTS_DESCRIPTION epilog=COUNTS_EPILOG formatter_class=ParagraphFormatter help=COUNTS_HELP
call set_defaults func=ngram_counts
call add_com... | def generate_counts_subparser(subparsers):
"""Adds a sub-command parser to `subparsers` to make a counts
query."""
parser = subparsers.add_parser(
'counts', description=constants.COUNTS_DESCRIPTION,
epilog=constants.COUNTS_EPILOG, formatter_class=ParagraphFormatter,
help=constants.CO... | Python | jtatman_500k |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
import cv2
import numpy as np
function draw_hud img color=tuple 0 0 255
begin
assert img is not none
set tuple h w channels = shape
call line img tuple integer w / 2 0 tuple integer w / 2 h color 1
call line img tuple 0 integer h / 2 tuple w integer h / 2 colo... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import cv2
import numpy as np
def draw_hud ( img , color = (0,0,255) ) :
assert img is not None
h,w,channels = img.shape
cv2.line (img , ( int(w/2),0 ) , (int(w/2),h) , color , 1 )
cv2.line (img , ( 0,int(h/2) ) , (w,int(h/2)) , color , 1 )
return img
de... | Python | zaydzuhri_stack_edu_python |
class MathOperations
begin
decorator staticmethod
function get_sum a b
begin
comment Iterate until b becomes 0
while b != 0
begin
comment Carry contains common set bits of a and b
set carry = a ? b
comment Sum of bits of a and b where at least one of the bits is not set
set a = a ? b
comment Carry is shifted by one so ... | class MathOperations:
@staticmethod
def get_sum(a, b):
# Iterate until b becomes 0
while b != 0:
# Carry contains common set bits of a and b
carry = a & b
# Sum of bits of a and b where at least one of the bits is not set
a = a ^ b
# ... | Python | jtatman_500k |
import pandas as pd
set data = call read_excel string catering_dish_profit.xls index_col=string 菜品名
set data = copy data at string 盈利
comment 排序
sort values data ascending=false
import matplotlib.pyplot as plt
set rcParams at string font.sans-serif = list string SimHei
set rcParams at string axes.unicode_minus = false
... | import pandas as pd
data = pd.read_excel('catering_dish_profit.xls', index_col=u'菜品名')
data = data[u'盈利'].copy()
data.sort_values(ascending=False) # 排序
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.figure()
data.plot(kind='bar')
plt.ylab... | Python | zaydzuhri_stack_edu_python |
function update self instance oldValue newValue subKey
begin
set histogram = call __get__ instance none
set histogram at subKey = histogram at subKey + newValue - oldValue
end function | def update(self, instance, oldValue, newValue, subKey):
histogram = self.__get__(instance, None)
histogram[subKey] += newValue - oldValue | Python | nomic_cornstack_python_v1 |
import numpy as np
import tensorflow as tf
set num_points = 5
set x_batch = call placeholder float32
set y_batch = call Variable call random_uniform list num_points - 1 1
set allLosses = call square x_batch - y_batch
set loss = call reduce_mean allLosses
set set1 = list
for i in call xrange num_points
begin
set x = ra... | import numpy as np
import tensorflow as tf
num_points = 5
x_batch = tf.placeholder(tf.float32)
y_batch = tf.Variable(tf.random_uniform([num_points],-1,1))
allLosses = tf.square(x_batch - y_batch)
loss = tf.reduce_mean(allLosses)
set1 = []
for i in xrange(num_points):
x = np.random.randint(0,10)
set1.append... | Python | zaydzuhri_stack_edu_python |
function main rootdir version version_short is_release verbose mock_run
begin
if not version
begin
call secho string No version info provided fg=string red
exit
end
set updater = call VersionUpdater rootdir=rootdir version=version version_short=version_short is_release=is_release verbose=verbose mock_run=mock_run
call ... | def main(rootdir, version, version_short, is_release, verbose, mock_run):
if not version:
click.secho("No version info provided", fg="red")
exit()
updater = VersionUpdater(
rootdir=rootdir,
version=version,
version_short=version_short,
is_release=is_release,
... | Python | nomic_cornstack_python_v1 |
function _reset self
begin
call _reset
call _reset
end function | def _reset(self):
self._model._reset()
super(RDPAnalyzer, self)._reset() | Python | nomic_cornstack_python_v1 |
function make_pipeline context
begin
string Create our pipeline.
comment Filter for primary share equities. IsPrimaryShare is a built-in filter.
set primary_share = call IsPrimaryShare
comment Equities listed as common stock (as opposed to, say, preferred stock).
comment 'ST00000001' indicates common stock.
set common_... | def make_pipeline(context):
"""
Create our pipeline.
"""
# Filter for primary share equities. IsPrimaryShare is a built-in filter.
primary_share = IsPrimaryShare()
# Equities listed as common stock (as opposed to, say, preferred stock).
# 'ST00000001' indicates common stock.
common_sto... | Python | jtatman_500k |
function nnPredict w1 w2 data
begin
set labels = array list
comment create bias row
set bias_row = ones tuple size np data 0 1
comment concatenate bias with data matrix
set data = concatenate tuple data bias_row axis=1
comment Calculate input to hidden layer
set intput_hidden_layer = dot data transpose w1
comment Calcu... | def nnPredict(w1,w2,data):
labels = np.array([])
# create bias row
bias_row =np.ones((np.size(data,0),1))
# concatenate bias with data matrix
data=np.concatenate((data,bias_row),axis=1)
#Calculate input to hidden layer
intput_hidden_layer= np.dot(data,w1.transpose()) ... | Python | nomic_cornstack_python_v1 |
function parse_name lexer
begin
string Convert a name lex token into a name parse node.
set token = call expect_token lexer NAME
return call NameNode value=value loc=loc lexer token
end function | def parse_name(lexer: Lexer) -> NameNode:
"""Convert a name lex token into a name parse node."""
token = expect_token(lexer, TokenKind.NAME)
return NameNode(value=token.value, loc=loc(lexer, token)) | Python | jtatman_500k |
function alpha l
begin
set c = ordinal l - 96
return c
end function
set w = split call raw_input
set w1 = length w at 0
set w2 = length w at 1
set r = 0
set w3 = min w1 w2
set w4 = max w1 w2
for i in range w3
begin
set m = absolute call alpha w at 0 at i - call alpha w at 1 at i
set r = r + m
end
if w1 > w2
begin
for i... | def alpha(l):
c=(ord(l)-96)
return(c)
w=(raw_input()).split()
w1=len(w[0])
w2=len(w[1])
r=0
w3=min(w1,w2)
w4=max(w1,w2)
for i in range(w3):
m=abs(alpha(w[0][i])-alpha(w[1][i]))
r+=m
if(w1>w2):
for i in range(w3,w1):
x=alpha(w[0][i])
r+=x
elif(w2>w1):
for i in range(w3,w2):
y=alpha(w[1][i])
r... | Python | zaydzuhri_stack_edu_python |
function read_json_file file_path
begin
if not exists gfile file_path
begin
raise call IOError string Path { file_path } does not exist.
end
try
begin
with call GFile file_path as json_file
begin
return load json json_file
end
end
except Exception as e
begin
raise call ValueError string Failed loading file { file_path ... | def read_json_file(file_path: str):
if not tf.io.gfile.exists(file_path):
raise IOError(f"Path {file_path!r} does not exist.")
try:
with tf.io.gfile.GFile(file_path) as json_file:
return json.load(json_file)
except Exception as e:
raise ValueError(f"Failed loading file {... | Python | nomic_cornstack_python_v1 |
function updateUserDrawnThresholds self event
begin
if not call LeftIsDown
begin
return
end
set tuple x y = call GetPosition
set y = scatterHeight - y
set x = x - xoffset
set x = x - call GetWidth + 2 * emptySpace
set x = min x 255
set y = min y 255
set x = max x 0
set y = max y 0
set actionend = tuple x y
set tuple x1... | def updateUserDrawnThresholds(self, event):
if not event.LeftIsDown():
return
x, y = event.GetPosition()
y = self.scatterHeight - y
x -= self.xoffset
x -= (self.verticalLegend.GetWidth() + 2 * self.emptySpace)
x = min(x, 255)
y = min(y, 255)
x = max(x, 0)
y = max(y, 0)
self.actionend = (x... | Python | nomic_cornstack_python_v1 |
function test_post_api_no_preferred_laboratories_201 self
begin
set url = reverse string mobile:prescription-list
comment Creates a prescription for this user
set data = dict string patient dict string user_id id ; string preferred_laboratories_id list id ; string picture_id_front string R0lGODlhAQABAIAAAAUEBAAAACwAAAA... | def test_post_api_no_preferred_laboratories_201(self):
url = reverse('mobile:prescription-list')
# Creates a prescription for this user
data = {
"patient": {
"user_id": self.patient.user.id,
"preferred_laboratories_id": [self.laboratory.id],
... | Python | nomic_cornstack_python_v1 |
function test_compare_frozensets self
begin
set fset = frozenset_type
set i = call Instance fset _ctx
set j = call Instance fset _ctx
call assertIs none call cmp_rel _ctx EQ i j
end function | def test_compare_frozensets(self):
fset = self._convert.frozenset_type
i = abstract.Instance(fset, self._ctx)
j = abstract.Instance(fset, self._ctx)
self.assertIs(None, compare.cmp_rel(self._ctx, slots.EQ, i, j)) | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
comment In[1]:
set test_0 = string DIP= Digital Image Processing
set test_1 = string Goruntu Isleme
comment In[2]:
print test_0
comment In[3]:
set var_0 = 10
set var_1 = 100
comment In[4]:
var_1
comment In[5]:
var_1 + var_0
comment In[6]:
set myList = list 0 1 string 2
print myList
comment In[7]:
... | # coding: utf-8
# In[1]:
test_0="DIP= Digital Image Processing"
test_1="Goruntu Isleme"
# In[2]:
print(test_0)
# In[3]:
var_0=10
var_1=100
# In[4]:
var_1
# In[5]:
var_1+var_0
# In[6]:
myList=[0,1,"2"]
print(myList)
# In[7]:
myList
# In[8]:
myList[1]
myList[2]
# In[9]:
myList[1]
# In[10]:
my... | Python | zaydzuhri_stack_edu_python |
comment remove duplicates from list
comment use hash if no space constraint is given (not implemeted)
comment else do loop for each node and check the data for dups and change the next pointers
from ll import *
function linked_list_remove_duplicates ll
begin
if head == none
begin
return ll
end
set cur = head
while cur
... | #remove duplicates from list
#use hash if no space constraint is given (not implemeted)
#else do loop for each node and check the data for dups and change the next pointers
from ll import *
def linked_list_remove_duplicates(ll):
if ll.head == None:
return ll
cur = ll.head
while cur:
... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
import non_maximum_suppuration_file
from imageio import imread , imsave
from scipy import signal
from scipy.ndimage.filters import convolve
from scipy.signal import convolve2d
from skimage import color
function read_image filename representation=2
begin
string reads a ... | import matplotlib.pyplot as plt
import numpy as np
import non_maximum_suppuration_file
from imageio import imread , imsave
from scipy import signal
from scipy.ndimage.filters import convolve
from scipy.signal import convolve2d
from skimage import color
def read_image(filename, representation=2):
"""
reads a i... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
string @author: Frank Brehm @contact: frank.brehm@profitbricks.com @copyright: © 2010 - 2016 by Frank Brehm, ProfitBricks GmbH, Berlin @summary: The module for a base application object. It provides methods for commandline parsing, initialising the logging mech... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: Frank Brehm
@contact: frank.brehm@profitbricks.com
@copyright: © 2010 - 2016 by Frank Brehm, ProfitBricks GmbH, Berlin
@summary: The module for a base application object.
It provides methods for commandline parsing, initialising
the logging ... | Python | zaydzuhri_stack_edu_python |
import csv
import datetime
import os
function parse_occurrences occ
begin
set s = string { occ at 0 at 0 } | { occ at 0 at 1 }
for o in occ at slice 1 : :
begin
set s = s + string ; { o at 0 } | { o at 1 }
end
return s
end function
function create_directory date
begin
set directory_path = string /home/marco/Scrivania... | import csv
import datetime
import os
def parse_occurrences(occ):
s = f"{occ[0][0]}|{occ[0][1]}"
for o in occ[1:]:
s += f";{o[0]}|{o[1]}"
return s
def create_directory(date):
directory_path = f"/home/marco/Scrivania/tirocinio-unicredit/graphdb/relations/{date}/"
if not os.path.exists(dire... | Python | zaydzuhri_stack_edu_python |
import unittest
from unittest.mock import MagicMock
from fitness_repo import FitnessRepository
from workout import Workout
class test_save_workout_route extends TestCase
begin
set mock_conn = type string Connection tuple object dict string cursor string method ; string commit string otherMethod
set mock_cursor = type s... | import unittest
from unittest.mock import MagicMock
from fitness_repo import FitnessRepository
from workout import Workout
class test_save_workout_route(unittest.TestCase):
mock_conn = type('Connection', (object,), { "cursor": "method", "commit": "otherMethod" })
mock_cursor = type('Cursor', (object,), { "exe... | Python | zaydzuhri_stack_edu_python |
function hoggar_indices
begin
return list product list 0 1 repeat=6
end function | def hoggar_indices():
return list(product([0,1], repeat=6)) | Python | nomic_cornstack_python_v1 |
from requests import get
comment Функция возвращает начальную ссылку
function get_start_link topic
begin
set link = string https://ru.wikipedia.org/wiki/ { capitalize topic }
return link
end function
comment Функция возвращает ссылку на сопутствующую страницу
function get_link wiki_link
begin
set link = string https://... | from requests import get
# Функция возвращает начальную ссылку
def get_start_link(topic):
link = f'https://ru.wikipedia.org/wiki/{topic.capitalize()}'
return link
# Функция возвращает ссылку на сопутствующую страницу
def get_link(wiki_link):
link = f'https://ru.wikipedia.org{wiki_link}'
return link
... | Python | zaydzuhri_stack_edu_python |
function test_phase self
begin
append self string a string a
set tuple rev node0 = commit client string first addremove=true
assert equal list tuple 0 string draft call phase node0
set ctx = client at rev
assert equal string draft call phase
end function | def test_phase(self):
self.append('a', 'a')
rev, node0 = self.client.commit('first', addremove=True)
self.assertEqual([(0, 'draft')], self.client.phase(node0))
ctx = self.client[rev]
self.assertEqual('draft', ctx.phase()) | Python | nomic_cornstack_python_v1 |
function sanitize instring
begin
return encode instring string ascii string replace
end function | def sanitize(instring):
return instring.encode('ascii','replace') | Python | nomic_cornstack_python_v1 |
import pygame
import pygame.locals
import sys
from time import sleep
from lib.infuse import Infuse
from lib.signalgenerator import OscillatingSignal
from keymap import keymap
class Controller extends object
begin
function __init__ self
begin
set key_map = false
set joysticks = false
set joysticks_map = false
set button... | import pygame
import pygame.locals
import sys
from time import sleep
from lib.infuse import Infuse
from lib.signalgenerator import OscillatingSignal
from .keymap import keymap
class Controller(object):
def __init__(self):
self.key_map = False
self.joysticks = False
self.joysticks_map = False
self.bu... | Python | zaydzuhri_stack_edu_python |
function test_json_schema_must_have_type_present self
begin
set invalid_schema = call ConfigContextSchema name=string invalid slug=string invalid data_schema=dict string properties dict string a dict string type string string
with assert raises ValidationError
begin
call full_clean
end
end function | def test_json_schema_must_have_type_present(self):
invalid_schema = ConfigContextSchema(
name="invalid", slug="invalid", data_schema={"properties": {"a": {"type": "string"}}}
)
with self.assertRaises(ValidationError):
invalid_schema.full_clean() | Python | nomic_cornstack_python_v1 |
function winning_move macroboard
begin
set moves = available_moves
for tuple px py in moves
begin
call make_move px py
if has_a_winner
begin
return tuple px py
end
call undo_last_move
end
return none
end function | def winning_move(macroboard):
moves = macroboard.available_moves
for px, py in moves:
macroboard.make_move(px, py)
if macroboard.has_a_winner:
return (px, py)
macroboard.undo_last_move()
return None | Python | nomic_cornstack_python_v1 |
function show self eq value=none
begin
if eq in list string f string x
begin
set key = string unamex
end
else
if eq in list string g string y
begin
set key = string unamey
end
if value
begin
set value = list value
end
else
begin
set value = list __dict__ at eq
end
set out = string
for tuple name val idx in zip __dict_... | def show(self, eq, value=None):
if eq in ['f', 'x']:
key = 'unamex'
elif eq in ['g', 'y']:
key = 'unamey'
if value:
value = list(value)
else:
value = list(self.__dict__[eq])
out = ''
for name, val, idx in zip(self.system.V... | Python | nomic_cornstack_python_v1 |
function meteors n ar br
begin
set differ = list
set used = dict
set pr = list
for i in range n
begin
if ar at i != br at i
begin
append pr - 1
append differ tuple i ar at i br at i
end
else
begin
append pr ar at i
set used at ar at i = i
end
end
set unused = call find_unused n used
if length differ == 1
begin
set p... | def meteors(n, ar, br):
differ = []
used = {}
pr = []
for i in range(n):
if ar[i] != br[i]:
pr.append(-1)
differ.append((i, ar[i], br[i]))
else:
pr.append(ar[i])
used[ar[i]] = i
unused = find_unused(n, used)
if len(differ) == 1:
... | Python | zaydzuhri_stack_edu_python |
function _motion_scroll_event self widget event
begin
if not call is_image_loaded
begin
return
end
if direction == UP
begin
call zoom_in
end
else
if direction == DOWN
begin
call zoom_out
end
end function | def _motion_scroll_event(self, widget, event):
if not self.is_image_loaded():
return
if event.direction == Gdk.ScrollDirection.UP:
self.zoom_in()
elif event.direction == Gdk.ScrollDirection.DOWN:
self.zoom_out() | Python | nomic_cornstack_python_v1 |
function test_app_settings_reset_bool self mock_exit mock_write_error mock_write_success
begin
comment Boolean Custom Setting
set mock_args_bool = call MagicMock app=string test_app setting=string enable_feature
assert raises SystemExit app_settings_reset_command mock_args_bool
call assert_not_called
call assert_called... | def test_app_settings_reset_bool(
self, mock_exit, mock_write_error, mock_write_success
):
# Boolean Custom Setting
mock_args_bool = mock.MagicMock(
app="test_app",
setting="enable_feature",
)
self.assertRaises(
SystemExit,
cli... | Python | nomic_cornstack_python_v1 |
import itertools
import os
import random
import numpy as np
class NeuralNetwork
begin
function __init__ self layers learning_rate epochs
begin
set fitted_ = false
set biases_ = list comprehension randn a 1 for a in layers at slice 1 : :
set weights_ = list comprehension randn a b for tuple b a in zip layers at slice ... | import itertools
import os
import random
import numpy as np
class NeuralNetwork:
def __init__(self, layers, learning_rate, epochs):
self.fitted_ = False
self.biases_ = [np.random.randn(a, 1) for a in layers[1:]]
self.weights_ = [np.random.randn(a, b) for b, a in zip(layers[:-1], layers[1:... | Python | zaydzuhri_stack_edu_python |
function variation_count self
begin
raise call NotImplementedError string 'variation_count' must be defined and return an int.
end function | def variation_count(self) -> int:
raise NotImplementedError(
"'variation_count' must be defined and return an int.") | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
from matplotlib import pyplot as plt
set img = call imread string C:/Users/wang/Desktop/square_images/1-10-1.jpg
set hsv = call cvtColor img COLOR_BGR2HSV
set hist = call calcHist list hsv list 1 none list 256 list 0 256
comment print (hist[3][35])
comment plt.imshow(hist,interpolation = '... | import cv2
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread('C:/Users/wang/Desktop/square_images/1-10-1.jpg')
hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
hist = cv2.calcHist([hsv],[1],None,[256],[0,256])
# print (hist[3][35])
# plt.imshow(hist,interpolation = 'nearest')
plt.plot(hist,c... | Python | zaydzuhri_stack_edu_python |
function intensityRatioSave self outFile=0
begin
if not outFile
begin
set outFile = IntensityRatio at string filename
print string saving ratio to filename = %s % outFile
end
if has attribute self string IntensityRatio
begin
set temperature = IntensityRatio at string temperature
set eDensity = IntensityRatio at string ... | def intensityRatioSave(self,outFile=0):
if not outFile:
outFile = self.IntensityRatio['filename']
print(' saving ratio to filename = %s'%(outFile))
if hasattr(self, 'IntensityRatio'):
temperature=self.IntensityRatio['temperature']
eDensity=self.IntensityRa... | Python | nomic_cornstack_python_v1 |
function get_learning_rate optim groups=none
begin
set state_dict = state dict optim
set param_groups = state_dict at string param_groups
if groups is none
begin
return list comprehension pg at string lr for pg in param_groups
end
else
if is instance groups int
begin
return param_groups at groups at string lr
end
else
... | def get_learning_rate(optim, groups=None):
state_dict = optim.state_dict()
param_groups = state_dict["param_groups"]
if groups is None:
return [pg["lr"] for pg in param_groups]
elif isinstance(groups, int):
return param_groups[groups]["lr"]
elif isinstance(groups, list):
retu... | Python | nomic_cornstack_python_v1 |
set __author__ = string computer
set a = 0
set b1 = 0
set b = list
insert b 0 b1
insert b 0 a
print b | __author__ = 'computer'
a = 0
b1 = 0
b =[]
b.insert(0,b1)
b.insert(0,a)
print(b) | Python | zaydzuhri_stack_edu_python |
function run_individual_node self index number=10 repeat=1 min_repeat_ms=0 limit_zero_time_iterations=100 cooldown_interval_ms=0 repeats_to_cooldown=1
begin
comment Results are returned as serialized strings which we deserialize
set res = call _run_individual_node index number repeat min_repeat_ms limit_zero_time_itera... | def run_individual_node(
self,
index,
number=10,
repeat=1,
min_repeat_ms=0,
limit_zero_time_iterations=100,
cooldown_interval_ms=0,
repeats_to_cooldown=1,
):
# Results are returned as serialized strings which we deserialize
res = self._... | Python | nomic_cornstack_python_v1 |
function createTriangleColor p1 p2 p3 r g b
begin
comment Extend
set p1 = call __vertexUnpack3 p1
set p2 = call __vertexUnpack3 p2
set p3 = call __vertexUnpack3 p3
comment Dissamble vertices
set tuple x1 y1 z1 = p1
set tuple x2 y2 z2 = p2
set tuple x3 y3 z3 = p3
comment Defining locations and color
set vertices = list ... | def createTriangleColor(p1, p2, p3, r, g, b):
# Extend
p1 = __vertexUnpack3(p1)
p2 = __vertexUnpack3(p2)
p3 = __vertexUnpack3(p3)
# Dissamble vertices
x1, y1, z1 = p1
x2, y2, z2 = p2
x3, y3, z3 = p3
# Defining locations and color
vertices = [
# X, Y, Z, R, G, B,
... | Python | nomic_cornstack_python_v1 |
import json
from http import HTTPStatus
from my_app.users.models import User
function test_get_all_users session client
begin
string Test getting all users
set user_a = call User email=string user-a@example.com
set user_b = call User email=string user-b@example.com
add session user_a
add session user_b
commit session
s... | import json
from http import HTTPStatus
from my_app.users.models import User
def test_get_all_users(session, client):
"""Test getting all users"""
user_a = User(email='user-a@example.com')
user_b = User(email='user-b@example.com')
session.add(user_a)
session.add(user_b)
session.commit()
... | Python | zaydzuhri_stack_edu_python |
function dnasequence_reader file_name
begin
with open file_name as f
begin
return right strip read line f
end
end function | def dnasequence_reader(file_name):
with open(file_name) as f:
return f.readline().rstrip() | Python | nomic_cornstack_python_v1 |
function seminar_list_teachers self seminars
begin
set params = dict string seminar seminars
debug string [LIST] Get list of teachers in the course's seminaries with params: { params }
return call _create_resource string seminar-cvicici-seznam params cls=SeminarTeachers
end function | def seminar_list_teachers(self, seminars: List[str]) -> entities.SeminarTeachers:
params = {'seminar': seminars}
log.debug(f"[LIST] Get list of teachers in the course's seminaries with params: {params}")
return self._create_resource('seminar-cvicici-seznam', params,
... | Python | nomic_cornstack_python_v1 |
function __init__ self proportion=1.0 n_neighbors=5 n_jobs=1
begin
call __init__
call check_greater_or_equal proportion string proportion 0
call check_greater_or_equal n_neighbors string n_neighbors 1
call check_n_jobs n_jobs string n_jobs
set proportion = proportion
set n_neighbors = n_neighbors
set n_jobs = n_jobs
en... | def __init__(self, proportion= 1.0, n_neighbors= 5, n_jobs= 1):
super().__init__()
self.check_greater_or_equal(proportion, "proportion", 0)
self.check_greater_or_equal(n_neighbors, "n_neighbors", 1)
self.check_n_jobs(n_jobs, 'n_jobs')
self.proportion= proportion... | Python | nomic_cornstack_python_v1 |
function evaluate self state
begin
set score = call get_pimped_score WEIGHT_TOWER_FIVE_PLAYER1 WEIGHT_TOWER_FIVE_PLAYER2 WEIGHT_TOWER__PLAYER1 WEIGHT_TOWER__PLAYER2 WEIGHT_TOWER_FOUR_PLAYER1 WEIGHT_TOWER_FOUR_PLAYER2 WEIGHT_CAST_AWAY_PLAYER1 WEIGHT_CAST_AWAY_PLAYER2 WEIGHT_DONT_DO_THAT
return score
end function | def evaluate(self, state):
score = state[0].get_pimped_score(self.WEIGHT_TOWER_FIVE_PLAYER1, self.WEIGHT_TOWER_FIVE_PLAYER2,
self.WEIGHT_TOWER__PLAYER1,
self.WEIGHT_TOWER__PLAYER2, self.WEIGHT_TOWER_FOUR_PLAYER1,
... | Python | nomic_cornstack_python_v1 |
function exists self username
begin
set query = query session where username == username
return call scalar
end function | def exists(self, username: str) -> bool:
query = self.session.query(sql.exists().where(
User.username == username))
return query.scalar() | Python | nomic_cornstack_python_v1 |
function main
begin
set tuple _ money = map int split input
set prices = sorted map int split input
set answer = 0
for price in prices
begin
if price > money
begin
break
end
set money = money - price
set answer = answer + 1
end
print answer
end function
if __name__ == string __main__
begin
call main
end | def main():
_, money = map(int, input().split())
prices = sorted(map(int, input().split()))
answer = 0
for price in prices:
if price > money:
break
money -= price
answer += 1
print(answer)
if __name__ == '__main__':
main()
| Python | zaydzuhri_stack_edu_python |
for i in range 1 stL
begin
if st at i == prev
begin
set cnt = cnt + 1
end
else
begin
set cnt = 1
end
if cnt == 7
begin
set y = true
break
end
set prev = st at i
end | for i in range(1, stL):
if st[i] == prev:
cnt += 1
else:
cnt = 1
if cnt == 7:
y = True
break
prev = st[i]
| Python | zaydzuhri_stack_edu_python |
function test_is_valid_submission_upvote_notification self
begin
set submission_vote_mock = call MagicMock is_upvote=true author=1 submission=call MagicMock author=2
assert true call is_valid_submission_upvote_notification submission_vote_mock
end function | def test_is_valid_submission_upvote_notification(self):
submission_vote_mock = MagicMock(is_upvote=True, author=1, submission=MagicMock(author=2))
self.assertTrue(Notification.is_valid_submission_upvote_notification(submission_vote_mock)) | Python | nomic_cornstack_python_v1 |
function format_pooling_echo_pick_list vol_sample max_vol_per_well=60000 dest_plate_shape=list 16 24
begin
set contents = list string Source Plate Name,Source Plate Type,Source Well,Concentration,Transfer Volume,Destination Plate Name,Destination Well
comment Write the sample transfer volumes
set tuple rows cols = shap... | def format_pooling_echo_pick_list(vol_sample,
max_vol_per_well=60000,
dest_plate_shape=[16,24]):
contents = ['Source Plate Name,Source Plate Type,Source Well,'
'Concentration,Transfer Volume,Destination Plate Name,'
... | Python | nomic_cornstack_python_v1 |
function peek self
begin
with lock
begin
return event_list at integer onset_idx at 0 at 1
end
end function | def peek(self) -> Event:
with self.lock:
return self.event_list[int(self.onset_idx[0][1])] | Python | nomic_cornstack_python_v1 |
function convert_to_list data
begin
return list comprehension integer i for i in split data string ;
end function
function convert_to_str data
begin
return join string ; list comprehension string i for i in data
end function
function weight_by_type courier_type
begin
if courier_type == string foot
begin
return 10
end
e... | def convert_to_list(data) -> list:
return [int(i) for i in data.split(';')]
def convert_to_str(data) -> str:
return ';'.join([str(i) for i in data])
def weight_by_type(courier_type) -> int:
if courier_type == "foot":
return 10
elif courier_type == "bike":
return 15
elif courier_t... | Python | zaydzuhri_stack_edu_python |
function _join self
begin
if thread and is alive thread
begin
join thread
end
end function | def _join(self):
if self.thread and self.thread.is_alive():
self.thread.join() | Python | nomic_cornstack_python_v1 |
function geo2sph bod sph geo
begin
set tuple R f = args
yield
while true
begin
call setshape R f
set tuple lat_d lon_d alt_d = reqs
set tuple lat_c lon_c rad_c = call datum2center lat_d lon_d alt_d
set pros = tuple lat_c lon_c rad_c
yield tuple call outs tuple true
end
end function | def geo2sph(bod, sph, geo):
R, f = bod.args
yield
while True:
libgeoid.setshape(R, f)
lat_d, lon_d, alt_d = geo.reqs
lat_c, lon_c, rad_c = libgeoid.datum2center(lat_d, lon_d, alt_d)
sph.pros = lat_c, lon_c, rad_c
yield (sph.outs((True,)),) | Python | nomic_cornstack_python_v1 |
function create_dataset self
begin
comment define how text and label will be processed
set inputs = call Field lower=true tokenize=string spacy batch_first=true
set labels = call Field sequential=false batch_first=true unk_token=none
comment create datasets
set tuple train dev test = call splits inputs labels root=data... | def create_dataset(self):
# define how text and label will be processed
self.inputs = data.Field(lower=True, tokenize='spacy', batch_first=True)
self.labels = data.Field(sequential=False, batch_first=True, unk_token=None)
# create datasets
train, dev, test = datasets.SNLI.splits... | Python | nomic_cornstack_python_v1 |
function _handle_clock_gettime self mu clk_id tp_ptr
begin
if clk_id == CLOCK_REALTIME
begin
set ns = call time_ns
set seconds = integer time
set ns = ns - seconds * 1000000000
call mem_write tp_ptr + 0 call to_bytes 4 byteorder=string little
call mem_write tp_ptr + 4 call to_bytes 4 byteorder=string little
return 0
en... | def _handle_clock_gettime(self, mu, clk_id, tp_ptr):
if clk_id == CLOCK_REALTIME:
ns = time.time_ns()
seconds = int(time.time())
ns = ns - seconds * 1000000000
mu.mem_write(tp_ptr + 0, seconds.to_bytes(4, byteorder='little'))
mu.mem_write(tp_ptr + 4... | Python | nomic_cornstack_python_v1 |
if u > 1
begin
for i in range 2 u
begin
if u % i == 0
begin
print string no
break
end
end
for else
begin
print string yes
end
end
else
begin
print string no
end | if u>1:
for i in range(2,u):
if u%i == 0:
print("no")
break
else:
print("yes")
else:
print("no")
| Python | zaydzuhri_stack_edu_python |
comment 全体をインポート
import pizza
comment 全モジュールインポート →ドットを使ってモジュールと関数指定しなくていい。
comment 直接関数を呼び出せる。しかし、同名関数があったら問題発生なので非推奨
comment from module_name import *
comment モジュール内の、関数指定でインポート
comment from module_name import function_0, function_1, function_2
comment インポートして、関数のエイリアスを定義
comment from pizza import make_pizza as mp
co... | # 全体をインポート
import pizza
# 全モジュールインポート →ドットを使ってモジュールと関数指定しなくていい。
# 直接関数を呼び出せる。しかし、同名関数があったら問題発生なので非推奨
# from module_name import *
# モジュール内の、関数指定でインポート
# from module_name import function_0, function_1, function_2
# インポートして、関数のエイリアスを定義
# from pizza import make_pizza as mp
# インポートして、モジュールレベルでエイリアスを定義
# im... | Python | zaydzuhri_stack_edu_python |
string programmers 12905. 가장 큰 정사각형 찾기 url: https://programmers.co.kr/learn/courses/30/lessons/12905 writer: Harim Kang Language: Python3 Date: 2021.02.09 Status: Success, Runtime: 28 ms, Memory Usage: 14.6 MB
function solution board
begin
comment Write your code here
set answer = 0
comment check all zeros
for i in ran... | """
programmers 12905. 가장 큰 정사각형 찾기
url: https://programmers.co.kr/learn/courses/30/lessons/12905
writer: Harim Kang
Language: Python3
Date: 2021.02.09
Status: Success, Runtime: 28 ms, Memory Usage: 14.6 MB
"""
def solution(board):
# Write your code here
answer = 0
# check all zeros
for i in range(len... | Python | zaydzuhri_stack_edu_python |
from functools import reduce
try
begin
from math import gcd
end
except any
begin
from fractions import gcd
end
class LCM
begin
function __init__ self arg
begin
if type arg in list list tuple
begin
set arr = arg
end
set lcm = call lcm_list arr
end function
function lcm_base self x y
begin
return x * y // call gcd x y
en... | from functools import reduce
try:
from math import gcd
except:
from fractions import gcd
class LCM:
def __init__(self,arg):
if type(arg) in [list,tuple]:
self.arr=arg
self.lcm=self.lcm_list(self.arr)
def lcm_base(self,x,y):
return (x*y)//gcd(x,y)
... | Python | zaydzuhri_stack_edu_python |
from rouge import Rouge
set rouge = call Rouge
set result = list string 我 是 谁 ， 这是 在 哪里 呢 ？ string 希望 你是 一个 好 孩子 。
set gold = list string 我 喜欢 你 ， 在 哪里 ？ string 明天 会 更好 的 ，小 孩子 。
set rouge_score = call get_scores result gold
print rouge_score at 0 at string rouge-1
print rouge_score at 0 at string rouge-2
print rouge_s... | from rouge import Rouge
rouge = Rouge()
result=['我 是 谁 ， 这是 在 哪里 呢 ？','希望 你是 一个 好 孩子 。']
gold=['我 喜欢 你 ， 在 哪里 ？','明天 会 更好 的 ，小 孩子 。']
rouge_score = rouge.get_scores(result, gold)
print(rouge_score[0]["rouge-1"])
print(rouge_score[0]["rouge-2"])
print(rouge_score[0]["rouge-l"])
#result
# {'f': 0.6249999950781252, 'p': 0... | Python | zaydzuhri_stack_edu_python |
from projecteuler.utils import get_input
function names_scores names_raw
begin
set names = split replace names_raw string " string string ,
sort names
set alphabetical_values = list comprehension sum list comprehension ordinal letter - ordinal string A + 1 for letter in name for name in names
return sum generator expre... | from projecteuler.utils import get_input
def names_scores(names_raw: str) -> int:
names = names_raw.replace('"', '').split(',')
names.sort()
alphabetical_values = [sum([ord(letter) - ord('A') + 1 for letter in name]) for name in names]
return sum(value * (index + 1) for index, value in enumerate(alphab... | Python | zaydzuhri_stack_edu_python |
import turtle
set mypen = call Turtle
call color string red string yellow
call begin_fill
for _ in range 6
begin
call circle 60 steps=5
call left 60
end
call end_fill
call done | import turtle
mypen = turtle.Turtle()
mypen.color("red", "yellow")
mypen.begin_fill()
for _ in range(6):
mypen.circle(60, steps=5)
mypen.left(60)
mypen.end_fill()
turtle.done()
| Python | zaydzuhri_stack_edu_python |
function get_ids data N_max
begin
set id_data = copy data at list string molecule_name string id
comment write molecules into one line
set id_data = apply group by id_data string molecule_name lambda x -> reshape values - 1
comment pad with nans
set id_list = list
for i in range length id_data
begin
set n = N_max * 2 ... | def get_ids(data, N_max):
id_data = data[['molecule_name', 'id']].copy()
# write molecules into one line
id_data = id_data.groupby('molecule_name').apply(lambda x:
x.values.reshape(-1))
# pad with nans
id_list = []
for i in range(len(id_dat... | Python | nomic_cornstack_python_v1 |
from turtle import *
set pantalla = call Screen
setup pantalla 425 225
call screensize 400 200
set tortuga = call Turtle
call left 90
comment Tortuga con forma de tortuga.
call shape string turtle
comment Sello de la tortuga en el punto (0,0)
call stamp
for i in range 12
begin
call penup
call forward 50
call stamp
back... | from turtle import *
pantalla = Screen()
pantalla.setup(425,225)
pantalla.screensize(400,200)
tortuga = Turtle()
tortuga.left(90)
tortuga.shape("turtle") # Tortuga con forma de tortuga.
tortuga.stamp() # Sello de la tortuga en el punto (0,0)
for i in range(12):
tortuga.penup()
tortuga.forward(50)
tortuga... | Python | zaydzuhri_stack_edu_python |
function encode_cards cards_str
begin
set plane = zeros 54 dtype=int
set joker_counter = 0
for card_str in cards_str
begin
if card_str == string 0 and joker_counter == 0
begin
comment handle the first joker situation
set joker_counter = 1
set index = card_encoding_dict at string 01
set plane at index = 1
end
else
if ca... | def encode_cards(cards_str):
plane = np.zeros(54, dtype=int)
joker_counter = 0
for card_str in cards_str:
if card_str == '0' and joker_counter == 0:
# handle the first joker situation
joker_counter = 1
index = card_encoding_dict['01']
plane[index] = 1
... | Python | nomic_cornstack_python_v1 |
function HasTexture self
begin
return false
end function | def HasTexture(self):
return False | Python | nomic_cornstack_python_v1 |
function multiplicationTable a b
begin
for i in range 1 b + 1
begin
print format string {} x {} = {} a i a * i
end
end function
comment prints a multiplication table for 9 and 10
call multiplicationTable 9 10 | def multiplicationTable(a, b):
for i in range(1, b+1):
print("{} x {} = {}".format(a, i, a * i))
multiplicationTable(9, 10) #prints a multiplication table for 9 and 10 | Python | jtatman_500k |
from PredictionAlgorithms.SentimentAnalysis.SentimentAnalysis import SentimentAnalysis
from PredictionAlgorithms.SentimentAnalysis.TextProcessing import TextProcessing
from PredictionAlgorithms.PredictiveConstants import PredictiveConstants as pc
from PredictionAlgorithms.PredictiveUtilities import PredictiveUtilities ... | from PredictionAlgorithms.SentimentAnalysis.SentimentAnalysis import SentimentAnalysis
from PredictionAlgorithms.SentimentAnalysis.TextProcessing import TextProcessing
from PredictionAlgorithms.PredictiveConstants import PredictiveConstants as pc
from PredictionAlgorithms.PredictiveUtilities import PredictiveUtilities ... | Python | zaydzuhri_stack_edu_python |
comment get lines to array
set file = open string 07/input1.txt string r
set Lines = call splitlines
set Rules = list
class Rule
begin
function __init__ self rule=string
begin
set rule = rule
set bag = string
set contents = list
set quantitys = list
set bag = call Bag split rule string bags contain at 0
if string n... | # get lines to array
file = open('07/input1.txt', 'r')
Lines = file.read().splitlines()
Rules = []
class Rule():
def __init__(self, rule=""):
self.rule = rule
self.bag = ""
self.contents = []
self.quantitys = []
self.bag = Bag(rule.split(" bags contain ")[0])
if "... | Python | zaydzuhri_stack_edu_python |
from selenium import webdriver
from PIL import Image
from ydmapi import *
class AttackYdm extends object
begin
function __init__ self
begin
set browser = call Chrome
set url = string http://www.yundama.com/
end function
comment 1. 获取网站首页截图
function get_index_shot self
begin
get browser url
call save_screenshot string i... | from selenium import webdriver
from PIL import Image
from ydmapi import *
class AttackYdm(object):
def __init__(self):
self.browser = webdriver.Chrome()
self.url = 'http://www.yundama.com/'
# 1. 获取网站首页截图
def get_index_shot(self):
self.browser.get(self.url)
self.browser.save_screenshot('index.png... | Python | zaydzuhri_stack_edu_python |
from collections import defaultdict
set tuple n m = map int split input
set yp = list
for i in range m
begin
set tuple p y = map int split input
append yp tuple y p i
end
set yp = sorted yp
set code = list 0 * m
set ctr = default dictionary int
for i in range m
begin
set ctr at yp at i at 1 = ctr at yp at i at 1 + 1
s... | from collections import defaultdict
n, m = map(int, input().split())
yp = []
for i in range(m):
p, y = map(int, input().split())
yp.append((y, p, i))
yp = sorted(yp)
code = [0] * m
ctr = defaultdict(int)
for i in range(m):
ctr[yp[i][1]] += 1
x = ctr[yp[i][1]]
code[yp[i][2]] = '{:06}{... | Python | zaydzuhri_stack_edu_python |
function las_headers self
begin
comment FIXME laspy breaks with a large number of files
return list comprehension header for las_obj in _las_objects
end function | def las_headers(self):
#FIXME laspy breaks with a large number of files
return [las_obj.header for las_obj in self._las_objects] | Python | nomic_cornstack_python_v1 |
import re
function append_lines string lines indent
begin
set line_list = split lines string
for line in line_list
begin
set string = string + string * indent * 4 + line + string
end
return string
end function
function relate_stream_ports component stream_ports
begin
set component at string stream_input_ports = list ... | import re
def append_lines(string, lines, indent):
line_list = lines.split('\n')
for line in line_list:
string = string + (" " * indent * 4) + line + "\n"
return string
def relate_stream_ports(component, stream_ports):
component["stream_input_ports"] = []
component["stream_output_ports"]... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
from random import randint
set myList = list
set length = 0
string " This class contains all of the sorting methods used by " the main class in sorting. I could have put all of the " code into one file, but I wanted to learn how to call " methods from different files.
class C
begin
string... | #!/usr/bin/env python3
from random import randint
myList = []
length = 0;
"""
" This class contains all of the sorting methods used by
" the main class in sorting. I could have put all of the
" code into one file, but I wanted to learn how to call
" methods from different files.
"""
class C:
"""
... | Python | zaydzuhri_stack_edu_python |
function default_clean self
begin
call remove_outliers
call _resample resampleRate=string H aggFun=string mean
comment HACK: Remove this since keep index works? needs testing
set modifiedData = drop missing modifiedData
call add_degree_hours
call _resample aggFun=string sum
call add_time_columns
call data_slice
end fun... | def default_clean(self):
self.remove_outliers()
self._resample(resampleRate='H', aggFun='mean')
# HACK: Remove this since keep index works? needs testing
self.modifiedData = self.modifiedData.dropna()
self.add_degree_hours()
self._resample(aggFun='sum')
self.add... | Python | nomic_cornstack_python_v1 |
function __init__ self level_dir
begin
set game_settings = game_settings
call init
call set_caption string Neural Network Evolution
set width = game_settings at string width
set height = game_settings at string height
set screen = call set_mode tuple width height DOUBLEBUF
set background = call convert
set clock = call... | def __init__(self, level_dir):
self.game_settings = game_settings
pygame.init()
pygame.display.set_caption("Neural Network Evolution")
self.width = self.game_settings['width']
self.height = self.game_settings['height']
self.screen = pygame.display.set_mode((self.width, se... | Python | nomic_cornstack_python_v1 |
comment Author: Mohammadreza Hajy Heydary
comment =================================================================================================================
comment This script contains all the necessary modules for predicting the property value for a given user input
comment ====================================... | # Author: Mohammadreza Hajy Heydary
# =================================================================================================================
# This script contains all the necessary modules for predicting the property value for a given user input
# ============================================================... | Python | zaydzuhri_stack_edu_python |
comment inf = open (r'C:\Users\79851\PycharmProjects\Alex\venv\GitHub\stepic_study\dataset_3363_3.txt','r')
comment a = inf.read().replace('\n', ' ').lower().split()
comment inf.close()
comment a.sort()
set b = dict
set c = list
set g = 0
comment проверям в ключах значение
for i in a
begin
if i not in keys b
begin
co... | #inf = open (r'C:\Users\79851\PycharmProjects\Alex\venv\GitHub\stepic_study\dataset_3363_3.txt','r')
#a = inf.read().replace('\n', ' ').lower().split()
#inf.close()
#a.sort()
b = {}
c = []
g = 0
for i in a:#проверям в ключах значение
if i not in b.keys():
b[i] = len(i)#если нет, то добавляем
g = max(b.values())... | Python | zaydzuhri_stack_edu_python |
function rolling_window array window axis=0 stride=1
begin
if is instance array Tensor
begin
assert axis == 0 msg string time axis must be 0 for torch tensors
set arr = call unfold axis window stride
set arange = array range length shape
if length arange > 2
begin
return permute arr 0 arange at - 1 *arange[1:-1]
end
re... | def rolling_window(array, window, axis=0, stride=1):
if isinstance(array, torch.Tensor):
assert axis==0, "time axis must be 0 for torch tensors"
arr = array.unfold(axis, window, stride)
arange = torch.arange(len(arr.shape))
if len(arange) > 2:
return arr.permute(0,arange[... | Python | nomic_cornstack_python_v1 |
function split_train_val data
begin
comment idx = ((data['geolocation_id'] == 4) | (data['geolocation_id'] == 1)) & (data['segment_id'] % 6 == 0)
set idx = data at string segment_id % 6 == 0
set training_x = data at string iq_sweep_burst at call logical_not idx
set training_y = data at string target_type at call logica... | def split_train_val(data):
# idx = ((data['geolocation_id'] == 4) | (data['geolocation_id'] == 1)) & (data['segment_id'] % 6 == 0)
idx = (data['segment_id'] % 6 == 0)
training_x = data['iq_sweep_burst'][np.logical_not(idx)]
training_y = data['target_type'][np.logical_not(idx)]
validation_x = data['iq_sweep_burst'... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import os , sys
append path pardir
from dataset.mnist import load_mnist
from PIL import Image
import numpy as np
import pickle
import perceptionFunc
function loadMnist
begin
set tuple tuple x_train t_train tuple x_test t_test = call load_mnist flatten=true normalize=false
print shape
print... | # -*- coding: utf-8 -*-
import os, sys
sys.path.append(os.pardir)
from dataset.mnist import load_mnist
from PIL import Image
import numpy as np
import pickle
import perceptionFunc
def loadMnist():
(x_train, t_train), (x_test, t_test) = load_mnist(flatten=True, normalize=False)
print(x_train.shape)
print(t... | Python | zaydzuhri_stack_edu_python |
while true
begin
set num = call raw_input string Enter a number:
if num == string done
begin
break
end
end | while True:
num= raw_input("Enter a number: ")
if num == "done":
break | Python | zaydzuhri_stack_edu_python |
function cos data
begin
return cos data
end function | def cos(data):
return _make.cos(data) | Python | nomic_cornstack_python_v1 |
from datetime import datetime , timedelta
comment There was an Run Time Error from the call below:
comment tdelta = timedelta(days=0, seconds=tdelta.seconds)
comment I ended up correcting that with help from:
comment https://github.com/rvrheenen/OpenKattis/blob/master/Python/natrij/natrij.py
comment I have anxiety whic... | from datetime import datetime, timedelta
# There was an Run Time Error from the call below:
# tdelta = timedelta(days=0, seconds=tdelta.seconds)
# I ended up correcting that with help from:
# https://github.com/rvrheenen/OpenKattis/blob/master/Python/natrij/natrij.py
# I have anxiety which causes me to focus on one pa... | Python | zaydzuhri_stack_edu_python |
function __isub__ self *args
begin
return call Point3D___isub__ self *args
end function | def __isub__(self, *args):
return _fife.Point3D___isub__(self, *args) | Python | nomic_cornstack_python_v1 |
import smtplib
from email.message import EmailMessage
from string import Template
from pathlib import Path
from sms import send_sms
function send_email
begin
set html = call Template call read_text
set email = call EmailMessage
set email at string from = string Ayush
set email at string to = string *****@gmail.com
set ... | import smtplib
from email.message import EmailMessage
from string import Template
from pathlib import Path
from sms import send_sms
def send_email():
html = Template(Path('Template/index.html').read_text())
email = EmailMessage()
email['from'] = 'Ayush'
email['to'] = '*****@gmail.com'
email['subj... | Python | zaydzuhri_stack_edu_python |
function has_resource_provider self
begin
return string provider in spec
end function | def has_resource_provider(self) -> bool:
return 'provider' in self.spec | Python | nomic_cornstack_python_v1 |
string Section 8 Challenge - Input and Output (I/O) Write a program to append the times tables to our jabberwocky poem in sample.txt. We want the tables from 2 to 12 (similar to the output from the For loops part 2 lecture in section 6). The first column of numbers should be right justified. As an example, the 2 times ... | """
Section 8 Challenge - Input and Output (I/O)
Write a program to append the times tables to our jabberwocky poem
in sample.txt. We want the tables from 2 to 12 (similar to the output
from the For loops part 2 lecture in section 6).
The first column of numbers should be right justified.
As an example, the 2 times ta... | Python | zaydzuhri_stack_edu_python |
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