code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function file_saved_true self
begin
call config state=string normal
call config state=string normal
call config state=string disabled
end function | def file_saved_true(self):
self.page_next_button.config(state='normal')
self.page_prev_button.config(state='normal')
self.text_save_button.config(state='disabled') | Python | nomic_cornstack_python_v1 |
comment -*-coding:UTF-8-*-
string Created on 2014年12月30日 @author: zhangr01
class Father extends object
begin
function __init__ self name
begin
set name = name
end function
end class
class Sun extends Father
begin
function __init__ self fname own_name
begin
call __init__ self fname
set own_name = own_name
end function
f... | #-*-coding:UTF-8-*-
'''
Created on 2014年12月30日
@author: zhangr01
'''
class Father(object):
def __init__(self, name):
self.name = name
class Sun(Father):
def __init__(self, fname, own_name):
Father.__init__(self, fname)
self.own_name = own_name
def __str__(s... | Python | zaydzuhri_stack_edu_python |
for i in range 0 n
begin
set tuple Score1 Score2 = split input
set count1 = count1 + integer Score1
set count2 = count2 + integer Score2
if count1 > count2
begin
if max1 < count1 - count2
begin
set max1 = count1 - count2
end
set p = 1
end
else
begin
if max1 < count2 - count1
begin
set max1 = count2 - count1
end
set p =... | for i in range(0,n):
Score1, Score2 = input().split()
count1 += int(Score1)
count2 += int(Score2)
if count1 > count2:
if max1 < (count1 - count2):
max1 = count1 - count2
p = 1
else:
if max1 < (count2 - count1):
max1 = count2 - count1
... | Python | zaydzuhri_stack_edu_python |
function common_sense_action_failure_heuristic heightmap heightmap_resolution=0.002 gripper_width=0.06 min_contact_height=0.02 push_length=0.0 z_buffer=0.01
begin
set pixels_to_dilate = integer ceil gripper_width + push_length / heightmap_resolution
set kernel = ones tuple pixels_to_dilate pixels_to_dilate uint8
set ob... | def common_sense_action_failure_heuristic(heightmap, heightmap_resolution=0.002, gripper_width=0.06, min_contact_height=0.02, push_length=0.0, z_buffer=0.01):
pixels_to_dilate = int(np.ceil((gripper_width + push_length)/heightmap_resolution))
kernel = np.ones((pixels_to_dilate, pixels_to_dilate), np.uint8)
... | Python | nomic_cornstack_python_v1 |
function test_redactedCommandLine self
begin
set inputOutput = list dict string input list ; string output list dict string input list string --apiToken string someSecret ; string output list string --apiToken string REDACTED dict string input list string --apiToken string someSecret string --apiToken string someSecr... | def test_redactedCommandLine(self):
inputOutput = [
{
"input": [],
"output": [],
}, {
"input": ["--apiToken", "someSecret"],
"output": ["--apiToken", "REDACTED"],
}, {
"input": ["--apiToken", "som... | Python | nomic_cornstack_python_v1 |
function onReceiverError self receiverError
begin
pass
end function | def onReceiverError(self, receiverError):
pass | Python | nomic_cornstack_python_v1 |
from math import sqrt
class Solution
begin
function kClosest self points K
begin
return sorted points key=lambda p -> square root p at 0 * p at 0 + p at 1 * p at 1 at slice : K :
end function
end class | from math import sqrt
class Solution():
def kClosest(self, points, K):
return sorted(points, key = lambda p : sqrt(p[0] * p[0] + p[1] * p[1]))[:K] | Python | zaydzuhri_stack_edu_python |
function scoop_poops_and_go_back base scooper poops
begin
for poop in poops
begin
if call go_to_scoop_poop_at base poop at 0 poop at 1 0
begin
call scoop
end
end
end function | def scoop_poops_and_go_back(base, scooper, poops):
for poop in poops:
if go_to_scoop_poop_at(base, poop[0], poop[1],0):
scooper.scoop() | Python | nomic_cornstack_python_v1 |
function distort filename threshold=0.25 type=string arctan wout=true plot=false
begin
set start = time
set tuple n data data_dB sr ch = call inputwav filename
set dataD = zeros tuple length data ch
comment data_dB
set dataD at tuple slice : length data : slice : : = data
if type == string arctan
begin
print strin... | def distort(filename,threshold=0.25,type='arctan',wout=True,plot=False):
start=time.time()
n, data, data_dB,sr,ch=inputwav(filename)
dataD=np.zeros((len(data),ch))
dataD[:len(data),:]=data#data_dB
if type=='arctan':
print('Applying arctan distortion...')
for k in range(ch):
... | Python | nomic_cornstack_python_v1 |
from matplotlib import rc
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
comment wartosci parametrow
set T = 300
set D_incubation = 5.2
set D_infectious = 2.9
set D_death = 18
set D_hospital_lag = 5
set D_recovery_severe = 21
set a = 1 / D_incubation
set gamma = 1 / D_infectious
s... | from matplotlib import rc
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
# wartosci parametrow
T = 300
D_incubation = 5.2
D_infectious = 2.9
D_death = 18
D_hospital_lag = 5
D_recovery_severe = 21
a = 1 / D_incubation
gamma = 1 / D_infectious
p_severe = 0.19
p_fatal = 0.02
p_mild... | Python | zaydzuhri_stack_edu_python |
string #Build Tower by the following given argument: #number of floors (integer and always greater than 0). #Tower block is represented as * for example, a tower of 3 floors looks like below [ ' * ', ' *** ', '*****' ] and a tower of 6 floors looks like below [ ' * ', ' *** ', ' ***** ', ' ******* ', ' ********* ', '**... | '''
#Build Tower by the following given argument:
#number of floors (integer and always greater than 0).
#Tower block is represented as *
for example, a tower of 3 floors looks like below
[
' * ',
' *** ',
'*****'
]
and a tower of 6 floors looks like below
[
' * ',
' *** ',
' *****... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
from scipy.stats import chisquare
from scipy import stats
from scipy.stats import chi2_contingency
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import style
import random
import math
set style = string MacOSX
function prueba_chi2 numeros intervalos
begin
if length numero... | import pandas as pd
from scipy.stats import chisquare
from scipy import stats
from scipy.stats import chi2_contingency
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import style
import random
import math
style = 'MacOSX'
def prueba_chi2(numeros, intervalos):
if len(numeros) < 30:
... | Python | zaydzuhri_stack_edu_python |
import pygame
set Black = tuple 0 0 0
class Paddle extends Sprite
begin
function __init__ self color width height
begin
comment (Sprite) Constructor
call __init__
set image = call Surface list width height
call fill Black
call set_colorkey Black
call rect image color list 0 0 width height
set rect = call get_rect
end f... | import pygame
Black =(0,0,0)
class Paddle(pygame.sprite.Sprite):
def __init__(self,color,width,height):
super().__init__() # (Sprite) Constructor
self.image = pygame.Surface ([width,height])
self.image.fill(Black)
self.image.set_colorkey(Black)
pygame.draw.rect(self.image,color,[0,0,width,height])
sel... | Python | zaydzuhri_stack_edu_python |
function set_args self args
begin
set epochs = epochs
set lrdecay = lrdecay
set lrpatience = lrpatience
set ntest = ntest
set ndiscard = ndiscard
set predict = predict
set printfreq = printfreq
set savefreq = savefreq
set resume = resume
set seed = seed
set timesteps = timesteps
set verbose = verbose
end function | def set_args(self, args: Namespace) -> None:
self.epochs = args.epochs
self.lrdecay = args.lrdecay
self.lrpatience = args.lrpatience
self.ntest = args.ntest
self.ndiscard = args.ndiscard
self.predict = args.predict
self.printfreq = args.printfreq
self.save... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment Michael Uftring, Indiana University
comment I590 - Python, Summer 2017
comment Assignment 2, Question 1
comment A program to produce a table of Celsius to Fahrenheit conversions
comment every 10 degrees from 0C to 100C.
function main
begin
print string Celsius Fahrenheit
print strin... | #!/usr/bin/env python
#
# Michael Uftring, Indiana University
# I590 - Python, Summer 2017
#
# Assignment 2, Question 1
#
# A program to produce a table of Celsius to Fahrenheit conversions
# every 10 degrees from 0C to 100C.
#
def main():
print("Celsius\tFahrenheit")
print("------------------")
for i in ... | Python | zaydzuhri_stack_edu_python |
function gcd num_1 num_2
begin
if num_2 == 0
begin
return num_1
end
return call gcd num_2 num_1 % num_2
end function | def gcd(num_1, num_2):
if num_2 == 0:
return num_1
return gcd(num_2, num_1 % num_2)
| Python | flytech_python_25k |
function find_intersection list1 list2
begin
set intersection = list
for item1 in list1
begin
for item2 in list2
begin
if item1 == item2
begin
append intersection item1
end
end
end
return intersection
end function
set list1 = list 1 2 3
set list2 = list 3 4 5
set result = call find_intersection list1 list2
print resul... | def find_intersection(list1, list2):
intersection = []
for item1 in list1:
for item2 in list2:
if item1 == item2:
intersection.append(item1)
return intersection
list1 = [1, 2, 3]
list2 = [3, 4, 5]
result = find_intersection(list1, list2)
print(result)
| Python | flytech_python_25k |
function index
begin
set query = Product_Table
set represent = string
set represent = lambda id row -> call A product_name _href=call URL string default string product_page args=list id
set rows = call render
return dictionary rows=rows
end function | def index():
query = db.Product_Table
db.Product_Table.product_owner.represent = ""
db.Product_Table.product_name.represent = lambda id, row: \
A(row.product_name, _href=URL('default', 'product_page', args=[row.id]))
rows = db(query).select().render()
return dict(rows=rows) | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
import numpy as np
from PIL import Image
import streamlit as st
set model = call load_model string inceptV3Bug8571-x.h5
set classes = list string Bladlöss string Sköldlöss string Spinnkvalster string Ullöss
set img_size = 200
function prediction img
begin
set image = open img
set resized = call ... | import tensorflow as tf
import numpy as np
from PIL import Image
import streamlit as st
model = tf.keras.models.load_model('inceptV3Bug8571-x.h5')
classes = ['Bladlöss', 'Sköldlöss', 'Spinnkvalster', 'Ullöss']
img_size = 200
def prediction(img):
image = Image.open(img)
resized = image.resize((img_size, img_... | Python | zaydzuhri_stack_edu_python |
function columns self
begin
return list comprehension col for tuple prop col in items call asdict self if prop not in set literal string path_separator string event_id_identifier
end function | def columns(self):
return [
col
for prop, col in attr.asdict(self).items()
if prop not in {"path_separator", "event_id_identifier"}
] | Python | nomic_cornstack_python_v1 |
comment Matriculation number: 2227134
import numpy as np
from scipy.misc import ascent
from skimage.transform import radon
comment Add other imports here if needed
from numpy.fft import fft , ifft , fftshift
set im = call ascent
set n = shape at 0
set padded = call pad im n // 2 mode=string constant
comment ANGLES is a... | # Matriculation number: 2227134
import numpy as np
from scipy.misc import ascent
from skimage.transform import radon
# Add other imports here if needed
from numpy.fft import fft, ifft, fftshift
im = ascent()
n = im.shape[0]
padded = np.pad(im, n // 2, mode='constant')
# ANGLES is an array between 0 – 180 degrees, e.... | Python | zaydzuhri_stack_edu_python |
function find_representative_movies movies max_examples=5
begin
set movies = sorted movies key=lambda m -> get m string rating 0 reverse=true
return list comprehension m for m in movies at slice : max_examples : if get m string rating 0 >= 6
end function | def find_representative_movies(movies, max_examples=5):
movies = sorted(movies, key=lambda m: m.get("rating", 0), reverse=True)
return [m for m in movies[:max_examples] if m.get("rating", 0) >= 6] | Python | nomic_cornstack_python_v1 |
function all_gt self other
begin
return x > x and y > y
end function | def all_gt(self, other):
return self.x > other.x and self.y > other.y | Python | nomic_cornstack_python_v1 |
function initialize self kernel_families n_models n_dims
begin
comment {SE, RQ, LIN, PER} if dataset is 1D
comment {SE_i} + {RQ_i} otherwise
set kernels = list
return kernels
end function | def initialize(self, kernel_families, n_models, n_dims):
# {SE, RQ, LIN, PER} if dataset is 1D
# {SE_i} + {RQ_i} otherwise
kernels = []
return kernels | Python | nomic_cornstack_python_v1 |
function inputs header
begin
string Read through the HISTORY cards in an image header looking for detrend input lines. Detrend inputs are given on lines like: HISTORY imcombred: file_id We require that the value in file_id be store in the CADC archive before adding to the inputs list.
import string , re
set inputs = li... | def inputs(header):
"""Read through the HISTORY cards in an image header looking for detrend
input lines.
Detrend inputs are given on lines like:
HISTORY imcombred: file_id
We require that the value in file_id be store in the CADC archive before
adding to the inputs list.
"""
import st... | Python | jtatman_500k |
function comparison_id self
begin
return _benchmark_comparison_id
end function | def comparison_id(self):
return self._benchmark_comparison_id | Python | nomic_cornstack_python_v1 |
function construct_array A B
begin
set n = length A
set C = list 0 * n
set i = 0
while i < n
begin
set C at i = A at i * B at i
set i = i + 1
end
return C
end function
comment Example usage:
set A = list 1 2 3 4
set B = list 5 6 7 8
set C = call construct_array A B
comment Output: [5, 12, 21, 32]
print C | def construct_array(A, B):
n = len(A)
C = [0] * n
i = 0
while i < n:
C[i] = A[i] * B[i]
i += 1
return C
# Example usage:
A = [1, 2, 3, 4]
B = [5, 6, 7, 8]
C = construct_array(A, B)
print(C) # Output: [5, 12, 21, 32] | Python | jtatman_500k |
class ToDoList extends object
begin
function __init__ self title
begin
set title = title
end function
function add_task self
begin
print string Enter the task you'd like to add:
set task_to_add = call raw_input string >
with open string todos.txt string a as file_object
begin
write file_object task_to_add
write file_ob... | class ToDoList(object):
def __init__(self, title):
self.title = title
def add_task(self):
print('Enter the task you\'d like to add:')
task_to_add = raw_input('> ')
with open('todos.txt', 'a') as file_object:
file_object.write(task_to_add)
file_object.writ... | Python | zaydzuhri_stack_edu_python |
function _set_model self
begin
set profiles = list
function add_profiles name exp idx
begin
if is instance exp MixedExperiment
begin
for tuple i p in enumerate parts
begin
append profiles tuple name + character ordinal string a + i p idx
end
end
else
begin
append profiles tuple name exp idx
end
end function
if is inst... | def _set_model(self):
self.profiles = []
def add_profiles(name, exp, idx):
if isinstance(exp, MixedExperiment):
for i, p in enumerate(exp.parts):
self.profiles.append((name + chr(ord("a") + i), p, idx))
else:
self.profiles.appen... | Python | nomic_cornstack_python_v1 |
from edd import *
class Pieza
begin
comment bordes es un string tipo 'GGGGGG'
function __init__ self bordes
begin
set bordes = bordes
comment no cambia
set id = bordes
set borde1 = bordes at 0
set borde2 = bordes at 1
set borde3 = bordes at 2
set borde4 = bordes at 3
set borde5 = bordes at 4
set borde6 = bordes at 5
if... | from edd import *
class Pieza:
def __init__(self, bordes): # bordes es un string tipo 'GGGGGG'
self.bordes = bordes
self.id = bordes # no cambia
self.borde1 = bordes[0]
self.borde2 = bordes[1]
self.borde3 = bordes[2]
self.borde4 = bordes[3]
self.borde5 = b... | Python | zaydzuhri_stack_edu_python |
comment First import all the standard modules:
import numpy as np
import pyfits
import healpy as hp
from matplotlib import pyplot
comment Now import the MLMapper:
from MapMaker.MLMapper import Control
comment Open the test data:
set hdu = open string TestData.fits
set tod = data at string TOD at tuple 0 slice : : 0
... | #First import all the standard modules:
import numpy as np
import pyfits
import healpy as hp
from matplotlib import pyplot
#Now import the MLMapper:
from MapMaker.MLMapper import Control
#Open the test data:
hdu = pyfits.open('TestData.fits')
tod = hdu[1].data['TOD'][0,:,0]
pix = hdu[1].data['PIX'][0,:,0]
#Number of... | Python | zaydzuhri_stack_edu_python |
function test_210302_multipolygon dbcursor
begin
set prod = call vtecparser call get_test_file string FLW/FLWJKL_multipolygon.txt
call sql dbcursor
assert any generator expression string culling in x for x in warnings
end function | def test_210302_multipolygon(dbcursor):
prod = vtecparser(get_test_file("FLW/FLWJKL_multipolygon.txt"))
prod.sql(dbcursor)
assert any("culling" in x for x in prod.warnings) | Python | nomic_cornstack_python_v1 |
function validate_authentication_config config
begin
assert is instance config Mapping
for tuple hint authenticators in items config
begin
if not is instance hint tuple AuthenticatorHint type none
begin
raise call TypeError string Authenticator hint must be an instance of authentication.AuthenticatorHint or None
end
as... | def validate_authentication_config(config):
assert isinstance(config, typing.Mapping)
for hint, authenticators in config.items():
if not isinstance(hint, (AuthenticatorHint, type(None))):
raise TypeError(
"Authenticator hint must be an instance of authentication.Authenticator... | Python | nomic_cornstack_python_v1 |
comment real signature unknown; restored from __doc__
function setDistanceFunction self distanceFunction
begin
pass
end function | def setDistanceFunction(self, distanceFunction): # real signature unknown; restored from __doc__
pass | Python | nomic_cornstack_python_v1 |
function get_opposite_azimuth myazi tolerance=20
begin
set azi_range = 180 - tolerance
set minazi = myazi + azi_range
set maxazi = myazi - azi_range
if minazi > 360
begin
set minazi = minazi - 360
end
if maxazi < 0
begin
set maxazi = maxazi + 360
end
return list minazi maxazi
end function | def get_opposite_azimuth(myazi, tolerance=20):
azi_range = 180 - tolerance
minazi = myazi + azi_range
maxazi = myazi - azi_range
if minazi > 360:
minazi -= 360
if maxazi < 0:
maxazi += 360
return [minazi, maxazi] | Python | nomic_cornstack_python_v1 |
import gc
import xgboost as xgb
import numpy as np
from sklearn.model_selection import GridSearchCV , KFold
from DataReader import load_data
set param = dict string max_depth 6 ; string learning_rate 0.05 ; string n_estimators 1 ; string subsample 0.8 ; string colsample_bytree 0.8 ; string min_child_weight 0.75 ; strin... | import gc
import xgboost as xgb
import numpy as np
from sklearn.model_selection import GridSearchCV, KFold
from DataReader import load_data
param = {
"max_depth": 6,
"learning_rate": 0.05,
"n_estimators": 1,
"subsample": 0.8,
"colsample_bytree": 0.8,
"min_child_weight": 0.75,
'objective': '... | Python | zaydzuhri_stack_edu_python |
function canonical_character_list self
begin
set char_list_fpath = string /data/fanfiction_ao3/ { fandom } /canonical_characters.txt
with open char_list_fpath as f
begin
set canonical_characters = call splitlines
end
set extra = list string Dobby
set canonical_characters = canonical_characters + extra
set canonical_cha... | def canonical_character_list(self):
char_list_fpath = f'/data/fanfiction_ao3/{self.fandom}/canonical_characters.txt'
with open(char_list_fpath) as f:
canonical_characters = f.read().splitlines()
extra = ['Dobby']
canonical_characters += extra
canonical_characters = [c... | Python | nomic_cornstack_python_v1 |
function velocity_graph data vkey=string velocity xkey=string Ms tkey=none basis=none n_neighbors=none n_recurse_neighbors=none random_neighbors_at_max=none sqrt_transform=false approx=false copy=false
begin
string Computes velocity graph based on cosine similarities. The cosine similarities are computed between veloci... | def velocity_graph(data, vkey='velocity', xkey='Ms', tkey=None, basis=None, n_neighbors=None, n_recurse_neighbors=None,
random_neighbors_at_max=None, sqrt_transform=False, approx=False, copy=False):
"""Computes velocity graph based on cosine similarities.
The cosine similarities are computed... | Python | jtatman_500k |
comment 不同类型用加法会有不同的解释
class Person extends object
begin
function __init__ self num
begin
set num = num
end function
comment 运算符重载
function __add__ self other
begin
return call Person num + num
end function
function __str__ self
begin
return string num = + string num
end function
end class
set per1 = call Person 1
set ... | #不同类型用加法会有不同的解释
class Person(object):
def __init__(self, num):
self.num = num
#运算符重载
def __add__(self, other):
return Person(self.num + other.num)
def __str__(self):
return "num = " + str(self.num)
per1 = Person(1)
per2 = Person(2)
print(per1 + per2)
print(per1.__ad... | Python | zaydzuhri_stack_edu_python |
function get_blob self index
begin
string Index is slice ID
set blob = _current_blob
call retrieve_timeslice index
set timeslice_info = call from_template dict string frame_index frame_index ; string slice_id index ; string timestamp utc_seconds ; string nanoseconds utc_nanoseconds ; string n_frames n_frames string Tim... | def get_blob(self, index):
"""Index is slice ID"""
blob = self._current_blob
self.r.retrieve_timeslice(index)
timeslice_info = Table.from_template({
'frame_index': self.r.frame_index,
'slice_id': index,
'timestamp': self.r.utc_seconds,
'nan... | Python | jtatman_500k |
function containsABA s
begin
set res = list
set tuple a b a1 = tuple string X string X string X
for c in s
begin
set tuple a b a1 = tuple b a1 c
if a == a1 and a != b
begin
append res b + a + b
end
end
return res
end function | def containsABA(s):
res = []
a, b, a1 = 'X', 'X', 'X'
for c in s:
a, b, a1 = b, a1, c
if a == a1 and a != b:
res.append(b + a + b)
return res | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import scrapy
from pyquery import PyQuery as pq
from copy import deepcopy
from dongguan.items import DongguanItem
import copy
class DgHouseSpider extends Spider
begin
set name = string dg_house
comment allowed_domains = ['*']
set start_urls = list string http://dgfc.dg.gov.cn/dgwebsite_v2/... | # -*- coding: utf-8 -*-
import scrapy
from pyquery import PyQuery as pq
from copy import deepcopy
from dongguan.items import DongguanItem
import copy
class DgHouseSpider(scrapy.Spider):
name = 'dg_house'
# allowed_domains = ['*']
start_urls = ['http://dgfc.dg.gov.cn/dgwebsite_v2/Vendition/ProjectInfo.aspx... | Python | zaydzuhri_stack_edu_python |
class Node
begin
function __init__ self value
begin
set value = value
set right = none
set left = none
end function
end class
function reconstruct preorder inorder
begin
set first = preorder at 0
set root = call Node first
if length preorder == 1
begin
return root
end
set i = 0
while i < length inorder and inorder at i... | class Node:
def __init__(self, value):
self.value = value
self.right = None
self.left = None
def reconstruct(preorder, inorder):
first = preorder[0]
root = Node(first)
if (len(preorder) == 1):
return root
i = 0
while (i < len(inorder) and inorder[i] != first):
i += 1
root.left = reconstruct(preorder[1... | Python | zaydzuhri_stack_edu_python |
import csv
from os import path
import matplotlib.pyplot as plt
import numpy as np
from keras.layers import Input
from keras.models import Model
function combine_model gen disc latent_dim
begin
string Combines a generator and discriminator model into a GAN. Parameters ---------- gen : Model The generator model. disc : M... | import csv
from os import path
import matplotlib.pyplot as plt
import numpy as np
from keras.layers import Input
from keras.models import Model
def combine_model(gen, disc, latent_dim):
"""Combines a generator and discriminator model into a GAN.
Parameters
----------
gen : Model
The generato... | Python | zaydzuhri_stack_edu_python |
function general ctx
begin
set obj = call General
end function | def general(ctx):
ctx.obj = General() | Python | nomic_cornstack_python_v1 |
for point in range 0 number
begin
set point = split input string Noktayı giriniz: string ,
set x = decimal point at 0
set y = decimal point at 1
set point = tuple x y
append list1 point
set sumx = sumx + x
set sumy = sumy + y
end
set centerx = sumx / number
set centery = sumy / number
set centerofmass = list centerx ce... | for point in range (0,number):
point = input("Noktayı giriniz: ").split(",")
x = float(point[0])
y = float(point[1])
point = (x,y)
list1.append(point)
sumx = sumx + x
sumy = sumy + y
centerx = sumx / number
centery = sumy / number
centerofmass = [centerx,cente... | Python | zaydzuhri_stack_edu_python |
function take_positions self cols negate=false
begin
set make_seq = make_seq
set result = dict
comment if we're negating, pick out all the positions except specified
comment indices
if negate
begin
set col_lookup = call fromkeys cols
for tuple name seq in list items named_seqs
begin
set result at name = call make_seq ... | def take_positions(self, cols, negate=False):
make_seq = self.moltype.make_seq
result = {}
# if we're negating, pick out all the positions except specified
# indices
if negate:
col_lookup = dict.fromkeys(cols)
for name, seq in list(self.named_seqs.items())... | Python | nomic_cornstack_python_v1 |
import unittest
import os
import NamedPropertyItem
class TestAdventOfCodeDay19 extends TestCase
begin
function test_get_distinct_molecules_WhenThreeTransitionsAndHOHStart_Returns4DistinctMolecules self
begin
set transitions = dict string H list string HO string OH ; string O list string HH
set actual = call get_distinc... | import unittest
import os
import NamedPropertyItem
class TestAdventOfCodeDay19(unittest.TestCase):
def test_get_distinct_molecules_WhenThreeTransitionsAndHOHStart_Returns4DistinctMolecules(self):
transitions = {'H' : ['HO', 'OH'], 'O': ['HH']}
actual = get_distinct_molecules(transitions, 'HOH')
... | Python | zaydzuhri_stack_edu_python |
function test_verify_path2_7 self
begin
call touch
set tuple result msg = call verify_path2 file kind=none expect=false
with call subTest
begin
assert false result
end
with call subTest
begin
assert is not none msg
end
end function | def test_verify_path2_7(self):
self.file.touch()
result, msg = basic.verify_path2(self.file, kind=None, expect=False)
with self.subTest():
self.assertFalse(result)
with self.subTest():
self.assertIsNotNone(msg) | Python | nomic_cornstack_python_v1 |
function GetSelectedOutputRow self row
begin
if row < 0
begin
set row = GetSelectedOutputRowCount + row
end
set ncols = GetSelectedOutputColumnCount
set results = list
for col in range ncols
begin
append results call GetSelectedOutputValue row col
end
return results
end function | def GetSelectedOutputRow(self, row):
if row < 0:
row = self.GetSelectedOutputRowCount + row
ncols = self.GetSelectedOutputColumnCount
results = []
for col in range(ncols):
results.append(self.GetSelectedOutputValue(row, col))
return results | Python | nomic_cornstack_python_v1 |
class User extends object
begin
function __init__ self firstname=none lastname=none username=none
begin
set firstname = firstname
set lastname = lastname
set username = username
end function
decorator classmethod
function add cls user_info
begin
set tuple firstname lastname username = user_info
print string Calling sub... | class User(object):
def __init__(self, firstname=None, lastname=None, username=None):
self.firstname = firstname
self.lastname = lastname
self.username = username
@classmethod
def add(cls, user_info):
firstname, lastname, username = user_info
print('Calling subproce... | Python | zaydzuhri_stack_edu_python |
function getLightIntHighThreshold self
begin
return call _read_byte_data REG_AIHTL ? call _read_byte_data REG_AIHTH ? 8
end function | def getLightIntHighThreshold(self):
return self._read_byte_data(REG_AIHTL) | (self._read_byte_data(REG_AIHTH) << 8) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Mon Mar 25 16:01:39 2019 @author: WJH
comment %%
import sys
append path string D:\学习\科研2019\Temperature-prediction-using-LSTM
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from Glo_paras import *
function prepro FILE_PATH
begin
co... | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 25 16:01:39 2019
@author: WJH
"""
#%%
import sys
sys.path.append(r'D:\学习\科研2019\Temperature-prediction-using-LSTM')
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from Glo_paras import *
def prepro(FILE_PATH):
# IMPORT DATA
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import os
import json
import uuid
import random
import subprocess
comment 随机字符串
set randomStr = lambda num -> join string random sample string abcdefghijklmnopqrstuvwxyz num
comment Response
class Response
begin
function __init__ self start_response response errorCode=none
begin
set start... | # -*- coding: utf-8 -*-
import os
import json
import uuid
import random
import subprocess
# 随机字符串
randomStr = lambda num=5: "".join(random.sample('abcdefghijklmnopqrstuvwxyz', num))
# Response
class Response:
def __init__(self, start_response, response, errorCode=None):
self.start = start_response
... | Python | zaydzuhri_stack_edu_python |
function getStringArray self key defaultValue
begin
set path = _path + key
set value = call getEntryValue path
if not value or type != NT_STRING_ARRAY
begin
return defaultValue
end
return value
end function | def getStringArray(self, key: str, defaultValue) -> Sequence[str]:
path = self._path + key
value = self._api.getEntryValue(path)
if not value or value.type != NT_STRING_ARRAY:
return defaultValue
return value.value | Python | nomic_cornstack_python_v1 |
function generateData numPoints x y
begin
for i in range 0 numPoints
begin
if i % 2 == 0
begin
append x call normalvariate 25 15
append y call normalvariate 25 15
end
else
begin
append x call normalvariate 75 15
append y call normalvariate 75 15
end
end
end function | def generateData(numPoints,x,y):
for i in range(0,numPoints):
if (i % 2 == 0):
x.append(random.normalvariate(25, 15))
y.append(random.normalvariate(25, 15))
else:
x.append(random.normalvariate(75, 15))
y.append(random.normalvariate(75, 15)) | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
import os
import pandas as pd
import sys | # coding: utf-8
import os
import pandas as pd
import sys
| Python | zaydzuhri_stack_edu_python |
function cal_lcm a b
begin
if a > b
begin
set large = a
end
else
begin
set large = b
end
while true
begin
if large % a == 0 and large % b == 0
begin
set lcm = large
break
end
set large = large + 1
end
return lcm
end function
set n1 = integer input string enter num1:
set n2 = integer input string enter num2:
print strin... | def cal_lcm(a,b):
if a>b:
large=a
else:
large=b
while(True):
if((large%a == 0) and (large%b == 0)):
lcm=large
break
large += 1
return lcm
n1=int(input("enter num1:"))
n2=int(input("enter num2:"))
print("lcm of two numbers is:",cal_lcm(... | Python | zaydzuhri_stack_edu_python |
function bundle_quantity self
begin
return _bundle_quantity
end function | def bundle_quantity(self):
return self._bundle_quantity | Python | nomic_cornstack_python_v1 |
with open string Beyondsleep.txt encoding=string utf-8 as file
begin
for line in file
begin
for word in split line
begin
add first word
end
end
end
with open string pride&prejudice.txt encoding=string utf-8 as f
begin
for l in f
begin
for w in split l
begin
add second w
end
end
end
for w in intersection first second
be... | with open("Beyondsleep.txt",encoding = 'utf-8') as file:
for line in file:
for word in line.split():
first.add(word)
with open("pride&prejudice.txt",encoding = 'utf-8') as f:
for l in f:
for w in l.split():
second.add(w)
for w in first.intersection(second):
p... | Python | zaydzuhri_stack_edu_python |
function stddev_upper_bound self
begin
return _stddev_upper_bound
end function | def stddev_upper_bound(self):
return self._stddev_upper_bound | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
comment map
function f x
begin
return x * x
end function
comment map()作为高阶函数，事实上它把运算规则抽象
set r = map f list 1 2 3 4 5 6 7 8 9
print list r
comment 把这个list所有数字转为字符
print list map str list 1 2 3 4 5 6 7 8 9
comment reduce
comment reduce把一个函数作用在一个序列[x1, x2, x3, .... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#map
def f(x):
return x * x
#map()作为高阶函数，事实上它把运算规则抽象
r = map(f, [1, 2, 3, 4, 5, 6, 7, 8, 9])
print(list(r))
#把这个list所有数字转为字符
print(list(map(str, [1, 2, 3, 4, 5, 6, 7, 8, 9])))
#reduce
# reduce把一个函数作用在一个序列[x1, x2, x3, ...]上，
# 这个函数必须接收两个参数，reduce把结果继续和序列的下一个元素做累积计算
# ... | Python | zaydzuhri_stack_edu_python |
string Maintain a seperate serializer class for experience to handle custom types. Add custom types to the dicts below. Use compression to shrink the experiences.
import pyarrow as pa
comment Add custom types here as required.
set CUSTOM_TYPES = dict
set SERIALIZERS = dict
set DESERIALIZERS = dict
comment same keys ... | """
Maintain a seperate serializer class for experience to handle custom types.
Add custom types to the dicts below.
Use compression to shrink the experiences.
"""
import pyarrow as pa
# Add custom types here as required.
CUSTOM_TYPES = {}
SERIALIZERS = {}
DESERIALIZERS = {}
# same keys should be declared in a... | Python | zaydzuhri_stack_edu_python |
set capitalized_words = list comprehension capitalize word for word in words
comment Output: ['The', 'Quick', 'Brown', 'Fox']
print capitalized_words | capitalized_words = [word.capitalize() for word in words]
print(capitalized_words) # Output: ['The', 'Quick', 'Brown', 'Fox'] | Python | jtatman_500k |
function testRecord self
begin
set topic = string http://example.com/feed1
set topic2 = string http://example.com/feed2
comment alphabetical on the hash of this
set topic3 = string http://example.com/feed3-124
put list call create topic call create topic2 call create topic3
assert true call get_by_topic topic is none
a... | def testRecord(self):
topic = 'http://example.com/feed1'
topic2 = 'http://example.com/feed2'
topic3 = 'http://example.com/feed3-124' # alphabetical on the hash of this
db.put([KnownFeed.create(topic), KnownFeed.create(topic2),
KnownFeed.create(topic3)])
self.assertTrue(FeedToFetch.get_b... | Python | nomic_cornstack_python_v1 |
function mac_addr address
begin
return join string : generator expression string %02x % call compat_ord b for b in address
end function | def mac_addr(address):
return ':'.join('%02x' % compat_ord(b) for b in address) | Python | nomic_cornstack_python_v1 |
function _ConvertAnyMessage self value message path
begin
if is instance value dict and not value
begin
return
end
try
begin
set type_url = value at string @type
end
except KeyError
begin
raise call ParseError format string @type is missing when parsing any message at {0} path
end
try
begin
set sub_message = call _Crea... | def _ConvertAnyMessage(self, value, message, path):
if isinstance(value, dict) and not value:
return
try:
type_url = value['@type']
except KeyError:
raise ParseError(
'@type is missing when parsing any message at {0}'.format(path))
try:
sub_message = _CreateMessageFrom... | Python | nomic_cornstack_python_v1 |
from selenium import webdriver
set driver = call Chrome
try
begin
get driver string http://python.org
input string W nowym oknie Chrome powinna załadować się strona python.org
end
finally
begin
call quit
end | from selenium import webdriver
driver = webdriver.Chrome()
try:
driver.get('http://python.org')
input('W nowym oknie Chrome powinna załadować się strona python.org')
finally:
driver.quit()
| Python | zaydzuhri_stack_edu_python |
function test_like_mission self
begin
with client as c
begin
with call session_transaction as sess
begin
set sess at string user_id = id
end
add session mission
set resp = post string /v1/mission/like { id }
end
assert equal json at string success string added
set mission = get query id
assert equal likes set literal 0... | def test_like_mission(self):
with self.client as c:
with c.session_transaction() as sess:
sess['user_id'] = self.user2.id
db.session.add(self.mission)
resp = c.post(f'/v1/mission/like{self.mission.id}')
self.assertEqual(resp.json['success'], 'added'... | Python | nomic_cornstack_python_v1 |
function forward self x identity=none
begin
set out = call layers x
if not add_identity
begin
return call dropout_layer out
end
if identity is none
begin
set identity = x
end
return identity + call dropout_layer out
end function | def forward(self, x, identity=None):
out = self.layers(x)
if not self.add_identity:
return self.dropout_layer(out)
if identity is None:
identity = x
return identity + self.dropout_layer(out) | Python | nomic_cornstack_python_v1 |
comment Obtener la fecha y hora actuales
import datetime
set ahora = now
print ahora
print string format time ahora string %d/%m/%Y %H:%M%S
print year
comment strftime cadena de formateo
set hora = time
set fecha = call date
print hora string
print fecha
comment propiedades del objeto Hora
print hour minute second
comm... | # Obtener la fecha y hora actuales
import datetime
ahora = datetime.datetime.now()
print(ahora)
print(ahora.strftime('%d/%m/%Y %H:%M%S' "\n") )
print(datetime.date.today().year)
#strftime cadena de formateo
#
hora = ahora.time()
fecha = ahora.date()
print(hora, "\n")
print(fecha)
print(hora.hour, hora.minute... | Python | zaydzuhri_stack_edu_python |
while true
begin
set path = string /var/www/html/audio_counter/data3.txt
set loket_3 = open path string r
set lihat = read loket_3
set data = integer lihat
comment writeNumber(data)
print string Pin 09 Next
print data
close loket_3
sleep 1
end | while True:
path = '/var/www/html/audio_counter/data3.txt'
loket_3 = open(path,'r')
lihat = loket_3.read()
data = int(lihat)
#writeNumber(data)
print ("Pin 09 Next")
print (data)
loket_3.close()
time.sleep(1) | Python | zaydzuhri_stack_edu_python |
function is_sorted arr cur=0
begin
if cur <= length arr - 2
begin
if arr at cur <= arr at cur + 1
begin
return call is_sorted arr cur + 1
end
else
begin
return false
end
end
else
begin
return true
end
end function
function sel_swap arr max_run_size cur=0 cur_max=0
begin
if cur >= max_run_size
begin
if arr at cur <= arr... | def is_sorted (arr,cur=0) :
if cur <= len(arr)-2 :
if arr[cur] <= arr[cur+1] :
return is_sorted(arr,cur+1)
else :
return False
else :
return True
def sel_swap(arr,max_run_size,cur=0,cur_max=0) :
if cur >= max_run_size :
if arr[cur] <= arr[cur_max] :... | Python | zaydzuhri_stack_edu_python |
async function check_migration migration
begin
try
begin
set count = await call count_documents dict migration true
end
except Exception as e
begin
print e
end
return count > 0
end function | async def check_migration(migration):
try:
count = await db.Migrations.count_documents({migration: True})
except Exception as e:
print(e)
return count > 0 | Python | nomic_cornstack_python_v1 |
comment !/usr/local/bin/python3
comment -*- coding:utf-8 -*-
string @author: @file: 剑指 Offer 06. 从尾到头打印链表.py @time: 2020/12/3 11:08 @desc:
from typing import List
string 输入一个链表的头节点，从尾到头反过来返回每个节点的值（用数组返回）。 示例 1： 输入：head = [1,3,2] 输出：[2,3,1] 限制： 0 <= 链表长度 <= 10000
comment Definition for singly-linked list.
class ListNode... | #!/usr/local/bin/python3
# -*- coding:utf-8 -*-
"""
@author:
@file: 剑指 Offer 06. 从尾到头打印链表.py
@time: 2020/12/3 11:08
@desc:
"""
from typing import List
"""
输入一个链表的头节点，从尾到头反过来返回每个节点的值（用数组返回）。
示例 1：
输入：head = [1,3,2]
输出：[2,3,1]
限制：
0 <= 链表长度 <= 10000
"""
# Definition for singly-linked list.
class ListNode:
... | Python | zaydzuhri_stack_edu_python |
function next self season
begin
return first call order_by string start
end function | def next(self, season):
return self.filter(start__gt=season.end).order_by('start').first() | Python | nomic_cornstack_python_v1 |
function find_neighbors_of_interest self screen_name
begin
set neighbors = call find_neighbors screen_name
return intersection neighbors names_of_interest
end function | def find_neighbors_of_interest(self, screen_name):
neighbors = self.find_neighbors(screen_name)
return neighbors.intersection(self.names_of_interest) | Python | nomic_cornstack_python_v1 |
class Solution
begin
function isPossible self nums
begin
set results = list
for num in nums
begin
for j in range length results - 1 - 1 - 1
begin
if results at j at 0 == num - 1
begin
set results at j = tuple num results at j at 1 + 1
break
end
end
for else
begin
append results tuple num 1
end
end
for res in results
b... | class Solution:
def isPossible(self, nums: list) -> bool:
results = []
for num in nums:
for j in range(len(results) - 1, -1, -1):
if results[j][0] == num - 1:
results[j] = (num, results[j][1] + 1)
break
else:
... | Python | zaydzuhri_stack_edu_python |
function sync test_case
begin
decorator wraps test_case
function run_sync *args **kwargs
begin
set coro = call test_case *args keyword kwargs
try
begin
set event = none
while true
begin
set event = call send event
comment pragma: no cover
if not is instance event PingPong
begin
raise call RuntimeError string test case ... | def sync(test_case: Callable[..., Coroutine]):
@wraps(test_case)
def run_sync(*args, **kwargs):
coro = test_case(*args, **kwargs)
try:
event = None
while True:
event = coro.send(event)
if not isinstance(event, PingPong): # pragma: no cove... | Python | nomic_cornstack_python_v1 |
string Driver for STMicroelectronics L3GD20 gyro for MicroPython. This driver assumes a SPI device and a chip select (CS) pin given to the constructor. The following example assumes that the CS is connected to the "PC1" pin and spi bus 5 is used. >>> from pyb import Pin >>> cs = Pin('PC1', Pin.OUT_PP, Pin.PULL_NONE) >>... | """
Driver for STMicroelectronics L3GD20 gyro for MicroPython.
This driver assumes a SPI device and a chip select (CS) pin given
to the constructor.
The following example assumes that the CS is connected to the "PC1" pin
and spi bus 5 is used.
>>> from pyb import Pin
>>> cs = Pin('PC1', Pin.OUT_PP, Pin.PULL_NONE)
>>... | Python | zaydzuhri_stack_edu_python |
string Constrain the effects of viewing angle. Requires comparisons between all sets of fiducial faces.
import sys
import os
from pandas import DataFrame
import numpy as np
from multiprocessing import Manager
from datetime import datetime
from wrapping_function import stats_wrapper
from turbustat.statistics import stat... | '''
Constrain the effects of viewing angle.
Requires comparisons between all sets of fiducial faces.
'''
import sys
import os
from pandas import DataFrame
import numpy as np
from multiprocessing import Manager
from datetime import datetime
from wrapping_function import stats_wrapper
from turbustat.statistics import ... | Python | zaydzuhri_stack_edu_python |
function _VersionBaseURL request
begin
if local_mode
begin
set version_base = string %s://%s % tuple scheme host
end
else
begin
set version_base = string %s://%s-dot-%s % tuple scheme call get_current_version_name call get_default_version_hostname
end
return version_base
end function | def _VersionBaseURL(request):
if settings.local_mode:
version_base = '%s://%s' % (request.scheme, request.host)
else:
version_base = '%s://%s-dot-%s' % (
request.scheme, modules.get_current_version_name(),
app_identity.get_default_version_hostname())
return version_base | Python | nomic_cornstack_python_v1 |
function make_path_agadir_3dots_dirs path_root path_fastafile
begin
set path_fastafile_split_to_list = split path_fastafile string /
set path_agadir_3dots_dirs = list
set copy_from_here = false
for path_dir in path_fastafile_split_to_list at slice : - 3 :
begin
if path_dir == string
begin
continue
end
if value in p... | def make_path_agadir_3dots_dirs(path_root: str, path_fastafile: str):
path_fastafile_split_to_list = path_fastafile.split('/')
path_agadir_3dots_dirs = []
copy_from_here = False
for path_dir in path_fastafile_split_to_list[:-3]:
if path_dir == '':
continue
... | Python | nomic_cornstack_python_v1 |
class Player
begin
function __init__ self name
begin
set name = name
set game = none
set turn = none
set score = none
end function
function move self move
begin
pass
end function
function evaluate self board
begin
pass
end function
function check_win_board self board
begin
try
begin
set n = length board
set bool_ = fal... | class Player:
def __init__(self, name: str):
self.name = name
self.game = None
self.turn = None
self.score = None
def move(self, move: str):
pass
def evaluate(self, board) -> int:
pass
def check_win_board(self,board):
try:
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
set n = string ano
set cont1 = 80000
set cont2 = 200000
set taxa1 = 0.03
set taxa2 = 0.015 | # -*- coding: utf-8 -*-
n=('ano')
cont1=80000
cont2=200000
taxa1=0.03
taxa2=0.015
| Python | zaydzuhri_stack_edu_python |
function convert_fahr_to_cels deg_fahr
begin
return round deg_fahr - 32 * 5 / 9 2
end function
function convert
begin
set deg_fahr = decimal input string Temperature F?
print format string It is {} degrees Celsius. call convert_fahr_to_cels deg_fahr
end function
if __name__ == string __main__
begin
call convert
end | def convert_fahr_to_cels(deg_fahr):
return round((deg_fahr - 32) * 5 / 9, 2)
def convert():
deg_fahr = float(input('Temperature F? '))
print('It is {} degrees Celsius.'.format(convert_fahr_to_cels(deg_fahr)))
if __name__ == '__main__':
convert()
| Python | zaydzuhri_stack_edu_python |
function break_words stuff
begin
set words = split stuff string
return words
end function
function sort_word words
begin
return sorted words
end function
function print_first_word words
begin
set word = pop words 0
print word
end function
function print_last_world words
begin
set word = pop words - 1
print word
end fun... | def break_words(stuff):
words = stuff.split(' ')
return words
def sort_word(words):
return sorted(words)
def print_first_word(words):
word = words.pop(0)
print(word)
def print_last_world(words):
word = words.pop(-1)
print(word)
def sort_sentence(setence):
words = break_words(sete... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import random as ran
import os
comment --- Lee y recupera la informacion de las
comment ---------conexiones y los nodos
function openFile ruta
begin
set data = open ruta string r
return data
end function
comment Recuperar Datos de un archivo con 1 columna
function formatA data
begin
set matrix = list... | import numpy as np
import random as ran
import os
##--- Lee y recupera la informacion de las
##---------conexiones y los nodos
def openFile(ruta):
data = open(ruta,"r")
return data
# Recuperar Datos de un archivo con 1 columna
def formatA(data):
matrix = []
for line in data:
a = float(line)
matrix.ap... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
from datetime import date
from datetime import timedelta
from PIL import Image
import math
set min = 0
set num = 65
for min in range num
begin
if min % 50 == 0
begin
print min
end
set im = open format min string 02d + string .ppm
set pix = load im
save string Converted/ + format min string... | #!/usr/bin/env python3
from datetime import date
from datetime import timedelta
from PIL import Image
import math
min = 0
num = 65
for min in range(num):
if (min%50) == 0:
print(min)
im = Image.open(format(min, '02d')+".ppm")
pix = im.load()
im.save("Converted/"+format(min,'02d')+".png")
min += 1
| Python | zaydzuhri_stack_edu_python |
from pytest学习过程与作业.pytest01.Calculator import Calculator
import pytest
import yaml
function get_add_datas
begin
try
begin
with open string ./datas/data_add.yaml encoding=string utf-8 as f
begin
set datas = call safe_load f
return datas
end
end
comment safe_load(stram),传入的是文件流，所以将打开的yam文件流传入；
comment 目的就是将yam对象，转化为pytho... | from pytest学习过程与作业.pytest01.Calculator import Calculator
import pytest
import yaml
def get_add_datas():
try:
with open("./datas/data_add.yaml", encoding='utf-8')as f:
datas = yaml.safe_load(f)
return datas
# safe_load(stram),传入的是文件流，所以将打开的yam文件流传入；
# 目的就是将y... | Python | zaydzuhri_stack_edu_python |
from program import *
from utilities import *
from differentiation import *
import random
import signal
class EvaluationTimeout extends Exception
begin
pass
end class
set EVALUATIONTABLE = dict
class Task extends object
begin
function __init__ self name request examples features=none cache=false
begin
string request: ... | from program import *
from utilities import *
from differentiation import *
import random
import signal
class EvaluationTimeout(Exception): pass
EVALUATIONTABLE = {}
class Task(object):
def __init__(self, name, request, examples, features = None, cache = False):
'''request: the type of this task
... | Python | zaydzuhri_stack_edu_python |
comment %%
import numpy as np
import re
import time
import tensorflow as tf
comment %%
set lines = split read open string Data/movie_lines.txt encoding=string utf-8 errors=string ignore string
set conversations = split read open string Data/movie_conversations.txt encoding=string utf-8 errors=string ignore string
comme... | #%%
import numpy as np
import re
import time
import tensorflow as tf
# %%
lines = open('Data/movie_lines.txt',encoding='utf-8',errors='ignore').read().split('\n')
conversations = open('Data/movie_conversations.txt',encoding='utf-8',errors='ignore').read().split('\n')
# %%
'''making dictionary to map each line with ... | Python | zaydzuhri_stack_edu_python |
comment Sort the following string alphabetically, from z to a, and assign it to the variable sorted_letters.
set letters = string alwnfiwaksuezlaeiajsdl
set sorted_letters = sorted letters reverse=true | #Sort the following string alphabetically, from z to a, and assign it to the variable sorted_letters.
letters = "alwnfiwaksuezlaeiajsdl"
sorted_letters = sorted(letters, reverse = True) | Python | zaydzuhri_stack_edu_python |
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import itertools
import numpy as np
import torch.utils.data as utils
from PIL import Image
import torch
import PIL.ImageOps
from torch.utils.data import Dataset , DataLoader
from torchvision import datasets
import torchvision.transfor... | import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import itertools
import numpy as np
import torch.utils.data as utils
from PIL import Image
import torch
import PIL.ImageOps
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets
import torchvision.transfo... | Python | zaydzuhri_stack_edu_python |
function start self
begin
call init_network
call create_nodes
call setup_environment
end function | def start(self):
self.init_network()
self.create_nodes()
self.setup_environment() | Python | nomic_cornstack_python_v1 |
function channel_shuffle x groups
begin
set tuple batch_size channels height width = size x
assert channels % groups == 0
set channels_per_group = channels // groups
comment split into groups
set x = view x batch_size groups channels_per_group height width
comment transpose 1, 2 axis
set x = contiguous transpose x 1 2
... | def channel_shuffle(x, groups):
batch_size, channels, height, width = x.size()
assert channels % groups == 0
channels_per_group = channels // groups
# split into groups
x = x.view(batch_size, groups, channels_per_group, height, width)
# transpose 1, 2 axis
x = x.transpose(1, 2).contiguous()
... | Python | nomic_cornstack_python_v1 |
comment You are given a positive integer num. You may swap any two digits of num that
comment have the same parity (i.e. both odd digits or both even digits).
comment Return the largest possible value of num after any number of swaps.
comment Example 1:
comment Input: num = 1234
comment Output: 3412
comment Explanation... | # You are given a positive integer num. You may swap any two digits of num that
# have the same parity (i.e. both odd digits or both even digits).
#
# Return the largest possible value of num after any number of swaps.
#
#
# Example 1:
#
#
# Input: num = 1234
# Output: 3412
# Explanation: Swap the digit 3 ... | Python | zaydzuhri_stack_edu_python |
function savePolyData name polydata asciiorbin=string binary
begin
set name = call splitext name at 0 + string .vtk
set writer = call vtkPolyDataWriter
call SetFileName name
if asciiorbin == string binary
begin
call SetFileTypeToBinary
end
else
begin
call SetFileTypeToASCII
end
call SetInput polydata
write writer
end f... | def savePolyData(name, polydata, asciiorbin='binary'):
name = os.path.splitext(name)[0] + '.vtk'
writer = vtk.vtkPolyDataWriter()
writer.SetFileName(name)
if asciiorbin == 'binary':
writer.SetFileTypeToBinary()
else:
writer.SetFileTypeToASCII()
writer.SetInput(polydata)
write... | Python | nomic_cornstack_python_v1 |
function get_client self
begin
return client
end function | def get_client(self):
return self.client | Python | nomic_cornstack_python_v1 |
function getFirstKeyForReadsetId readsetId
begin
return call from_path string GenomicsCoverageStatistics readsetId + __SEP
end function | def getFirstKeyForReadsetId(readsetId):
return db.Key.from_path("GenomicsCoverageStatistics",
readsetId + GenomicsCoverageStatistics.__SEP) | Python | nomic_cornstack_python_v1 |
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