code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function writeSingleFITS data wcs output template clobber=true verbose=true
begin
string Write out a simple FITS file given a numpy array and the name of another FITS file to use as a template for the output image header.
set tuple outname outextn = call parseFilename output
set tuple outextname outextver = call parseE... | def writeSingleFITS(data,wcs,output,template,clobber=True,verbose=True):
""" Write out a simple FITS file given a numpy array and the name of another
FITS file to use as a template for the output image header.
"""
outname,outextn = fileutil.parseFilename(output)
outextname,outextver = fileutil.parse... | Python | jtatman_500k |
from typing import Any
from itertools import zip_longest
from core.dsl import types
from core.dsl.functions import get_function_spec
from core.dsl.exceptions import SemanticException
function parse_block block
begin
comment Evaluate map result to list so we can do
comment type validation at script creation and not on r... | from typing import Any
from itertools import zip_longest
from core.dsl import types
from core.dsl.functions import get_function_spec
from core.dsl.exceptions import SemanticException
def parse_block(block: types.Block):
# Evaluate map result to list so we can do
# type validation at script creation and not ... | Python | zaydzuhri_stack_edu_python |
import os
import numpy as np
import torch
from PIL import Image
function load_keypoint_annotations path img_w img_h
begin
string Loads keypoints in annotation file at 'path' Returns keypoints
set keypoints = list
with open path string r as file
begin
for row in file
begin
set tuple x y _ = split row
append keypoints l... | import os
import numpy as np
import torch
from PIL import Image
def load_keypoint_annotations(path, img_w, img_h):
"""
Loads keypoints in annotation file at 'path'
Returns keypoints
"""
keypoints = []
with open(path, 'r') as file:
for row in file:
x, y , _ = row.spli... | Python | zaydzuhri_stack_edu_python |
function register_signals self
begin
print string Plugin "%s" registered as "%s" % tuple __name__ name
end function | def register_signals(self):
print("Plugin \"%s\" registered as \"%s\"" % (self.__class__.__name__,
self.__class__.Meta.name)) | Python | nomic_cornstack_python_v1 |
function obj_create self bundle request=none **kwargs
begin
set obj = call object_class
for tuple key value in items kwargs
begin
set attribute obj key value
end
set bundle = call full_hydrate bundle
comment Save FKs just in case.
call save_related bundle
comment Save the SimulationModel object.
save
comment Trigger th... | def obj_create(self, bundle, request=None, **kwargs):
bundle.obj = self._meta.object_class()
for key, value in kwargs.items():
setattr(bundle.obj, key, value)
bundle = self.full_hydrate(bundle)
# Save FKs just in case.
self.save_related(bundle)
... | Python | nomic_cornstack_python_v1 |
while i > 0
begin
set fatorial = i * fatorial
print format string x {} i end=string
set i = i - 1
end
print format string = {} fatorial | while i > 0:
fatorial = i * fatorial
print(' x {}'.format(i), end='')
i -= 1
print(' = {}'.format(fatorial)) | Python | zaydzuhri_stack_edu_python |
function ComputeBranchName self
begin
call chdir_to_ffmpeg_home
set branch_name = call output_or_error list string git string rev-parse string --abbrev-ref string HEAD
call SetBranchName string branch_name
end function | def ComputeBranchName(self):
self.chdir_to_ffmpeg_home()
branch_name = shell.output_or_error(
["git", "rev-parse", "--abbrev-ref", "HEAD"])
self.SetBranchName(str(branch_name)) | Python | nomic_cornstack_python_v1 |
function bound_decorator self function
begin
if not is instance function Callable
begin
return none
end
function decorator *args **kwargs
begin
return call function self *args keyword kwargs
end function
return decorator
end function | def bound_decorator(self, function):
if not isinstance(function, Callable):
return None
def decorator(*args, **kwargs):
return function(self, *args, **kwargs)
return decorator | Python | nomic_cornstack_python_v1 |
function decode_var_len_uint8 br
begin
if call read_bits 1
begin
set nbits = call read_bits 3
if nbits == 0
begin
return 1
end
return call read_bits nbits + 1 ? nbits
end
return 0
end function | def decode_var_len_uint8(br):
if br.read_bits(1):
nbits = br.read_bits(3)
if nbits == 0:
return 1
return br.read_bits(nbits) + (1 << nbits)
return 0 | Python | nomic_cornstack_python_v1 |
string loop through the grid and only check for item that has building in it (value = 1) save the cordinate of the checked item into hashmap by add_to_hash() function. The add_to_has
function numberOfStores rows column grid
begin
comment WRITE YOUR CODE HERE
function add_to_hash i j
begin
set hashmap at string i + stri... | """
loop through the grid and only check for item that has building in it (value = 1)
save the cordinate of the checked item into hashmap by add_to_hash() function.
The add_to_has
"""
def numberOfStores(rows, column, grid):
# WRITE YOUR CODE HERE
def add_to_hash(i, j):
hashmap[str(i)+":"+str(j)] = 1
... | Python | zaydzuhri_stack_edu_python |
comment code taken from https://dash.plot.ly/datatable/dropdowns
comment (version 1.9.1) pip install dash==1.9.1
import dash
import dash_html_components as html
import dash_table
import pandas as pd
from collections import OrderedDict
comment We will cover all 3 DataTable Dropdown options:
comment 1. per-Column Dropdow... | #code taken from https://dash.plot.ly/datatable/dropdowns
import dash #(version 1.9.1) pip install dash==1.9.1
import dash_html_components as html
import dash_table
import pandas as pd
from collections import OrderedDict
# We will cover all 3 DataTable Dropdown options:
# 1. per-Column Dropdowns (you choose column)
# ... | Python | zaydzuhri_stack_edu_python |
function partition L low high
begin
set pivot = L at high
set i = low - 1
for j in range low high
begin
if L at j < pivot
begin
set i = i + 1
set tuple L at i L at j = tuple L at j L at i
print L
end
end
set tuple L at i + 1 L at high = tuple L at high L at i + 1
return i + 1
end function
function quick_sort L low high... | def partition(L,low,high):
pivot = L[high]
i = low - 1
for j in range(low,high):
if L[j]<pivot:
i +=1
L[i],L[j] = L[j],L[i]
print(L)
L[i+1],L[high] = L[high],L[i+1]
return i+1
def quick_sort(L,low,high):
if low>=high:
return
... | Python | zaydzuhri_stack_edu_python |
function satisfies_upload_id_policy ptinfo
begin
if ID_POLICY_UPLOAD_TOKENIZED is none
begin
return false
end
return call satisfies_id_policy ID_POLICY_UPLOAD_TOKENIZED ptinfo
end function | def satisfies_upload_id_policy(ptinfo):
if ID_POLICY_UPLOAD_TOKENIZED is None:
return False
return satisfies_id_policy(ID_POLICY_UPLOAD_TOKENIZED, ptinfo) | Python | nomic_cornstack_python_v1 |
string Exceptions module.
from typing import Optional
class ProviderUnavailable extends Exception
begin
string Class to represent an when a provider is not working.
set message = string Provider not working
function __init__ self message=none
begin
if message
begin
set message = message
end
end function
end class | """Exceptions module."""
from typing import Optional
class ProviderUnavailable(Exception):
"""Class to represent an when a provider is not working."""
message = 'Provider not working'
def __init__(self, message: Optional[str] = None) -> None:
if message:
self.message = message
| Python | zaydzuhri_stack_edu_python |
function get_url self item
begin
set portal_properties = call get_tool name=string portal_properties
set use_view_action = call getProperty string typesUseViewActionInListings tuple
comment First we get the url for the item itself
set url = call absolute_url
if portal_type in use_view_action
begin
set url = url + strin... | def get_url(self, item):
portal_properties = api.portal.get_tool(name='portal_properties')
use_view_action = portal_properties.site_properties.getProperty(
'typesUseViewActionInListings', ())
# First we get the url for the item itself
url = item.absolute_url()
if item... | Python | nomic_cornstack_python_v1 |
function delete_subsite self subsite_id=string
begin
call retire subsite_id Subsite
end function | def delete_subsite(self, subsite_id=''):
self.RR2.retire(subsite_id, RT.Subsite) | Python | nomic_cornstack_python_v1 |
function transform self X y=none
begin
return dot X T
end function | def transform(self, X, y=None):
return np.dot(X, self.maps_.T) | Python | nomic_cornstack_python_v1 |
import glob , os , time_reader , crontab_manager , ConfigParser
set config = config parser
read config string ./config
set FILE_DIR = get config string Directory string RECORDING_DIR
change directory FILE_DIR
string Sort and import all news into a list
set news_list = list
for news_file in sorted glob glob string *.ts... | import glob, os, time_reader, crontab_manager, ConfigParser
config = ConfigParser.ConfigParser()
config.read('./config')
FILE_DIR = config.get('Directory', 'RECORDING_DIR')
os.chdir(FILE_DIR)
'''
Sort and import all news into a list
'''
news_list = []
for news_file in sorted(glob.glob("*.ts")):
news_list.append(... | Python | zaydzuhri_stack_edu_python |
function train_model training_data validation_data hparams
begin
set tuple Adj X y = training_data
set batch_size = hparams at string batch_size
set epochs = hparams at string epoch
set learning_rate = hparams at string learning_rate
set lossfile = hparams at string lossfile
set checkpoint = hparams at string checkpoin... | def train_model(training_data, validation_data, hparams):
Adj, X, y = training_data
batch_size = hparams["batch_size"]
epochs = hparams["epoch"]
learning_rate = hparams["learning_rate"]
lossfile = hparams["lossfile"]
checkpoint = hparams["checkpoint"]
model = Net(learning_rate=learning_rate)... | Python | nomic_cornstack_python_v1 |
for i in range - 1000 1001
begin
if i < 0
begin
comment Make sure the number is positive for the algorithm
set i = - i
end
set square = 0
for j in range i
begin
comment Add the number to itself for 'i' times to calculate the square
set square = square + i
end
if i < 0
begin
comment Convert the square back to negative i... | for i in range(-1000, 1001):
if i < 0:
i = -i # Make sure the number is positive for the algorithm
square = 0
for j in range(i):
square += i # Add the number to itself for 'i' times to calculate the square
if i < 0:
square = -square # Convert the square back to n... | Python | greatdarklord_python_dataset |
function is_valid_email email
begin
try
begin
set split = split email string @
assert length split == 2
set domain = split at 1
assert string . in domain
end
except AssertionError
begin
return false
end
return true
end function | def is_valid_email(email):
try:
split = email.split('@')
assert len(split) == 2
domain = split[1]
assert '.' in domain
except AssertionError:
return False
return True | Python | nomic_cornstack_python_v1 |
function calc_fiability self include_other_felt=true include_heavy_appliance=false aggregate=false filter_floors=false
begin
set emails = call get_prop_values string email
set felt_indexes = call calc_felt_index include_other_felt
set motion_indexes = call filled 0
set reaction_indexes = call filled 0
set stand_indexes... | def calc_fiability(self, include_other_felt=True, include_heavy_appliance=False,
aggregate=False, filter_floors=False):
emails = self.get_prop_values('email')
felt_indexes = self.calc_felt_index(include_other_felt)
motion_indexes = self.calc_motion_index().filled(0)
reaction_indexes = self.calc_react... | Python | nomic_cornstack_python_v1 |
function a
begin
set x = integer input string 请输入数字
set y = integer input string 请输入数字
for i in range x y
begin
for h in range 1 i + 1
begin
print string %d*%d=%d % tuple x y x * y end=string
end
print string
end
end function
while true
begin
call a
end | def a():
x = int(input("请输入数字"))
y = int(input("请输入数字"))
for i in range(x,y):
for h in range(1,i+1):
print("%d*%d=%d\t"%(x,y,x*y),end = "")
print("")
while True:
a()
| Python | zaydzuhri_stack_edu_python |
comment This program takes picture using picamera, and delete files older than 14 days.
import picamera
from datetime import datetime
import os , time
set camera = call PiCamera
set resolution = tuple 512 384
comment adapted from http://blog.rackspacecloudreview.com/86-freebie-python-chron-to-delete-files-older-than-x/ | # This program takes picture using picamera, and delete files older than 14 days.
import picamera
from datetime import datetime
import os, time
camera = picamera.PiCamera()
camera.resolution = (512,384)
# adapted from http://blog.rackspacecloudreview.com/86-freebie-python-chron-to-delete-files-older-than-x/ | Python | zaydzuhri_stack_edu_python |
function SignatureHashLegacy self script inIdx hashtype
begin
from script import FindAndDelete , CScript , OP_CODESEPARATOR
set HASH_ONE = b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
if inIdx >= length vin
begin
return tuple HASH_ON... | def SignatureHashLegacy(self, script, inIdx, hashtype):
from .script import FindAndDelete, CScript, OP_CODESEPARATOR
HASH_ONE = b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
if inIdx >= len(self.vin):
... | Python | nomic_cornstack_python_v1 |
function addNote self note
begin
if type note is str
begin
if note == string sample
begin
set note = call getNotes top=1
return note at 0
end
else
begin
raise exception string note must be a dictionary with valid + string fields, or the string 'sample' to + string request a sample object
end
end
else
if type note is di... | def addNote(self, note):
if type(note) is str:
if note == 'sample':
note = self.getNotes(top=1)
return note[0]
else:
raise Exception('note must be a dictionary with valid' +
' fields, or the string \'sample\'... | Python | nomic_cornstack_python_v1 |
function seasons df filtered_df
begin
comment now calc cumulative stats
set filtered at string gpg = cumulative sum group by filtered string team_id at string goals - filtered at string goals / call cumcount
set filtered at string win_per = cumulative sum group by filtered string team_id at string won - filtered at str... | def seasons(df, filtered_df):
# now calc cumulative stats
filtered['gpg'] = (filtered.groupby('team_id')['goals'].cumsum() - filtered['goals']) / filtered.groupby('team_id').cumcount()
filtered['win_per'] = (filtered.groupby('team_id')['won'].cumsum() - filtered['won']) / filtered.groupby('t... | Python | zaydzuhri_stack_edu_python |
comment Some more if statements
set banned_users = list string andrew string carolina string david
set user = string marie
if user not in banned_users
begin
print title user + string , you can post a response if you wish.
end
set car = string subaru
print string Is car == 'subaru'? I predict True
print car == string su... | # Some more if statements
banned_users = ['andrew','carolina','david']
user = 'marie'
if user not in banned_users:
print(user.title()+", you can post a response if you wish.")
car = 'subaru'
print("Is car == 'subaru'? I predict True")
print(car == 'subaru')
print("Is car == 'audi'? I predict false")
print(car == '... | Python | zaydzuhri_stack_edu_python |
function main
begin
set qnt = integer input
set dic = list
for i in range qnt
begin
set pok = input
if pok not in dic
begin
append dic pok
end
end
print format string Falta(m) {} pomekon(s). 151 - length dic
end function
if __name__ == string __main__
begin
call main
end | def main():
qnt = int(input())
dic = []
for i in range(qnt):
pok = input()
if pok not in dic:
dic.append(pok)
print("Falta(m) {} pomekon(s).".format(151 - len(dic)))
if __name__ == '__main__':
main()
| Python | zaydzuhri_stack_edu_python |
function _get_image_blob roidb scale_inds
begin
set num_images = length roidb
set processed_ims = list
set im_scales = list
for i in range num_images
begin
set im = call imread roidb at i at string image
if roidb at i at string flipped
begin
set im = im at tuple slice : : slice : : - 1 slice : :
end
set targe... | def _get_image_blob(roidb, scale_inds):
num_images = len(roidb)
processed_ims = []
im_scales = []
for i in range(num_images):
im = cv2.imread(roidb[i]['image'])
if roidb[i]['flipped']:
im = im[:, ::-1, :]
target_size = cfg.TRAIN.SCALES[scale_inds[i]]
im, im_sc... | Python | nomic_cornstack_python_v1 |
function project self
begin
return get pulumi self string project
end function | def project(self) -> pulumi.Output[str]:
return pulumi.get(self, "project") | Python | nomic_cornstack_python_v1 |
function get_global_stiffness_matrix self
begin
set s = sin
set c = cos
set matrix_helper = list c ^ 2 c * s - c ^ 2 - c * s c * s s ^ 2 - c * s - s ^ 2 - c ^ 2 - c * s c ^ 2 c * s - c * s - s ^ 2 c * s s ^ 2
return youngs_modulus * area / call get_length * reshape array matrix_helper dtype=float64 4 4
end function | def get_global_stiffness_matrix(self) -> NDArray[np.float64]:
s = self.sin()
c = self.cos()
matrix_helper = [
c ** 2,
c * s,
-(c ** 2),
-c * s,
c * s,
s ** 2,
-c * s,
-(s ** 2),
-(c ** 2)... | Python | nomic_cornstack_python_v1 |
function upload request
begin
comment return render(request, 'upload.html')
comment print(request.FILES)
if FILES == dict
begin
return call render request string simple_upload.html
end
else
begin
method == string POST and FILES at string myfile
set myfile = FILES at string myfile
set fs = call FileSystemStorage
set fi... | def upload(request):
# return render(request, 'upload.html')
# print(request.FILES)
if request.FILES == {}:
return render(request, 'simple_upload.html')
else:
request.method == "POST" and request.FILES['myfile']
myfile = request.FILES['myfile']
fs = FileSystemStorage()
... | Python | nomic_cornstack_python_v1 |
from tkinter import *
from com.kthread import KThread
import time
from threading import Timer
class UpdateThread extends KThread
begin
function __init__ self func *args
begin
call __init__ self
set func = func
set args = args
end function
function run self
begin
comment ser = serial.Serial('COM1',9600)
comment while Tr... | from tkinter import *
from com.kthread import KThread
import time
from threading import Timer
class UpdateThread(KThread):
def __init__(self,func,*args):
KThread.__init__(self)
self.func=func
self.args=args
def run(self):
#ser = serial.Serial('COM1',9600)
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
function magic_string
begin
set counter = get attribute magic_string string counter 0 + 1
return join string , list comprehension string Holberton for i in range counter
end function | #!/usr/bin/python3
def magic_string():
magic_string.counter = getattr(magic_string, "counter", 0) + 1
return ", ".join(["Holberton" for i in range(magic_string.counter)])
| Python | zaydzuhri_stack_edu_python |
function calcula_fibonacci n
begin
set lista = list 0 * n
if n == 1
begin
return list 1
end
else
if n == 2
begin
return list 1 1
end
else
begin
for i in range 2 n - 1
begin
set lista at 0 = 1
set lista at 1 = 1
append lista lista at i - 1 + lista at i - 2
end
return lista
end
end function | def calcula_fibonacci(n):
lista=[0]*n
if n==1:
return [1]
elif n==2:
return[1,1]
else:
for i in range(2,n-1):
lista[0]=1
lista[1]=1
lista.append(lista[i-1]+lista[i-2])
return lista | Python | zaydzuhri_stack_edu_python |
function test_abundant_sequence_20th_term self
begin
set term_20 = call nth_abundant 19
set excepted_output = 90
call assertEquals term_20 excepted_output
end function | def test_abundant_sequence_20th_term(self):
term_20 = nth_abundant(19)
excepted_output = 90
self.assertEquals(term_20, excepted_output) | Python | nomic_cornstack_python_v1 |
function index_queryset self **kwargs
begin
return filter status__name=string Finished
end function | def index_queryset(self, **kwargs):
return self.get_model().objects.filter(status__name="Finished") | Python | nomic_cornstack_python_v1 |
import random
set Coin = list 0 1
comment 0 for Heads
set i = random choice Coin
set l = 10
set n = list 0 * l
for j in range l
begin
set count = 1
while i != 0
begin
set i = random choice Coin
set count = count + 1
end
set i = random choice Coin
set n at j = count
end
comment print(count)
comment Prob for heads
set P ... | import random
Coin = [0,1]
i = random.choice(Coin) # 0 for Heads
l=10
n = [0]*l
for j in range(l):
count = 1
while (i != 0):
i = random.choice(Coin)
count = count + 1
i = random.choice(Coin)
n[j] = count
#print(count)
P = 0.7 # Prob for heads
x = 2
d = 1
# P[X > x+d... | Python | zaydzuhri_stack_edu_python |
function getDefaultCity
begin
set city = first filter by query session City default=1
return city or none
end function | def getDefaultCity():
city = db.session.query(City).filter_by(default=1).first()
return city or None | Python | nomic_cornstack_python_v1 |
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.pipeline import Pipeline
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import GridSearchCV
comment create sc... | from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.pipeline import Pipeline
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import GridSearchCV
#create scikit ... | Python | zaydzuhri_stack_edu_python |
import requests
from getpass import getpass
from mechanicalsoup import Browser
import sys
set LOGIN_URL = string http://www.kaggle.com/account/login
set COMPETITION_PAGE = string https://www.kaggle.com/c/%s/data
set CHUNK_SIZE = 512 * 1024
set BAR_LENGTH = 80
class PyKaggler
begin
function __init__ self
begin
set userS... | import requests
from getpass import getpass
from mechanicalsoup import Browser
import sys
LOGIN_URL = "http://www.kaggle.com/account/login"
COMPETITION_PAGE = "https://www.kaggle.com/c/%s/data"
CHUNK_SIZE = 512 * 1024
BAR_LENGTH = 80
class PyKaggler():
def __init__(self):
self.userSession = None
def... | Python | zaydzuhri_stack_edu_python |
function test_compress_2 self
begin
set text = string abcdefdeabc
set actual = compress text
set expected = bytearray list 3 + bytearray b'abcdef' + bytearray list 0 32 + bytearray list 0 113
assert equal actual expected
end function | def test_compress_2(self):
text = 'abcdefdeabc'
actual = LZ77.compress(text)
expected = bytearray([3]) + bytearray(b'abcdef')\
+ bytearray([0, 32]) + bytearray([0, 113])
self.assertEqual(actual, expected) | Python | nomic_cornstack_python_v1 |
function gridTraveler_without_memoization m n
begin
comment Base cases
if m == 1 and n == 1
begin
return 1
end
if m == 0 or n == 0
begin
return 0
end
comment down - reduce rows, right - reduce columns
return call gridTraveler_without_memoization m - 1 n + call gridTraveler_without_memoization m n - 1
end function | def gridTraveler_without_memoization(m, n):
# Base cases
if (m == 1 and n == 1):
return 1
if (m == 0 or n == 0):
return 0
# down - reduce rows, right - reduce columns
return gridTraveler_without_memoization(m - 1, n) + gridTraveler_without_memoization(m, n - 1) | Python | nomic_cornstack_python_v1 |
function createSecondaryShape self shape_id type property
begin
comment if requirements for target node are listed, then need a shape for it
set shape_info = dict string targetType string sh:ObjectsOf ; string target property ; string properties list ; string mandatory true
call add_shapeInfo shape_id shape_info
comme... | def createSecondaryShape(self, shape_id, type, property):
# if requirements for target node are listed, then need a shape for it
shape_info = {
"targetType": "sh:ObjectsOf",
"target": property,
"properties": [],
"mandatory": True,
}
self.ap... | Python | nomic_cornstack_python_v1 |
import sys
function convert_gff line annotation
begin
set converted = list
comment get seqname
append converted line at 1
comment get source
append converted string LipoP
comment get feature
append converted string ab-initio
comment get start and end position
set start_and_end = split split line at 1 string : at 1 str... | import sys
def convert_gff(line, annotation):
converted = []
#get seqname
converted.append(line[1])
# get source
converted.append('LipoP')
#get feature
converted.append('ab-initio')
# get start and end position
start_and_end = line[1].split(':')[1].split('-')
start = start_a... | Python | zaydzuhri_stack_edu_python |
function add_edge graph source target
begin
if source not in graph
begin
set graph at source = list
end
if target not in graph
begin
set graph at target = list
end
append graph at source target
end function | def add_edge(graph, source, target):
if source not in graph:
graph[source] = []
if target not in graph:
graph[target] = []
graph[source].append(target) | Python | nomic_cornstack_python_v1 |
import itertools
import os
set f = open string independent.txt string r
set n = integer split read line f at 0
set rest = read f
set lines = call splitlines
set edges = list comprehension tuple map int split line for line in lines
set clauses = list
set colors = range 1 4
set color_names = none
if length colors == 3
b... | import itertools
import os
f=open("independent.txt","r")
n=int((f.readline()).split()[0])
rest=f.read()
lines=rest.splitlines()
edges=[tuple(map(int,line.split())) for line in lines]
clauses=[]
colors=range(1,4)
color_names=None
if len(colors)==3:
color_names=["Red","Green","Blue"]
def varnum(i,j):
assert(i in ... | Python | zaydzuhri_stack_edu_python |
function set_root_value root value
begin
set root at 0 = value
end function | def set_root_value(root, value):
root[0] = value | Python | nomic_cornstack_python_v1 |
if edad >= 18
begin
print string Es mayor de edad
end
else
if edad == 17
begin
print string El próximo año será mayor de edad
end
else
begin
print string Es menor de edad
end | if edad >= 18:
print("Es mayor de edad")
elif edad == 17:
print("El próximo año será mayor de edad")
else:
print("Es menor de edad") | Python | zaydzuhri_stack_edu_python |
function InitializePopulation nDISP nNTypes nPopulationSize nTray
begin
set population = list
for i in range nPopulationSize
begin
set nSubTray = nTray
set genome = list
for k in range nNTypes
begin
set nRandVector = call GenerateRandVector nTray nDISP
for j in range nDISP
begin
set genome at j at k = nRandVector
end... | def InitializePopulation(nDISP, nNTypes, nPopulationSize, nTray):
population = []
for i in range(nPopulationSize):
nSubTray = nTray
genome = []
for k in range(nNTypes):
nRandVector = GenerateRandVector(nTray, nDISP)
for j in range(nDISP):
genome[j][k] = nRandVector
population.append(genome)
re... | Python | nomic_cornstack_python_v1 |
function testNonDefinedChannelsDimension self module_info use_bias
begin
set tuple module num_input_dims module_kwargs = module_info
set conv_mod = call module use_bias=use_bias keyword module_kwargs
set inputs = call placeholder float32 tuple 10 * num_input_dims + 1 + tuple none
set err = string Number of input channe... | def testNonDefinedChannelsDimension(self, module_info, use_bias):
module, num_input_dims, module_kwargs = module_info
conv_mod = module(use_bias=use_bias, **module_kwargs)
inputs = tf.placeholder(tf.float32, (10,) * (num_input_dims + 1) + (None,))
err = "Number of input channels"
with self.assertRa... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sat Dec 29 22:55:41 2018 @author: fourn
import project2_language_model as lm
import project2_utils as utils
import numpy as np
from keras.models import load_model
import pickle
from sklearn import cross_validation , svm
import io
import os
function data_load path
begin
se... | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 29 22:55:41 2018
@author: fourn
"""
import project2_language_model as lm
import project2_utils as utils
import numpy as np
from keras.models import load_model
import pickle
from sklearn import cross_validation, svm
import io
import os
def data_load(path):
file =... | Python | zaydzuhri_stack_edu_python |
function é_hipotenusa num
begin
set i = 0
set j = 0
set hipotenusa = false
while i < num and not hipotenusa
begin
while j < num
begin
if power num 2 == power i 2 + power j 2
begin
set hipotenusa = true
end
set j = j + 1
end
set i = i + 1
set j = 0
end
return hipotenusa
end function
function soma_hipotenusas num
begin
s... | def é_hipotenusa(num:int):
i = 0
j= 0
hipotenusa = False
while (i < num and not hipotenusa):
while j < num:
if(pow(num,2)==pow(i,2)+pow(j,2)):
hipotenusa = True
j+=1
i+=1
j = 0
return hipotenusa
def soma_hipotenusas(num:int):
i = 1... | Python | zaydzuhri_stack_edu_python |
function __init__ self parent filename
begin
set parent = parent
set filename = filename
set path_waypoints = list
set segment_lookup = dict string off_road curb ; string path path ; string lane_marking_white lane_marking_white ; string lane_marking_yellow_dashed lane_marking_yellow_dashed
set lines = loads read open ... | def __init__(
self,
parent: 'KRoadProcess',
filename: str,
):
self.parent = parent
self.filename = filename
self.path_waypoints = []
segment_lookup = {
'off_road': EntityType.curb,
'path': EntityType.path,
'lane... | Python | nomic_cornstack_python_v1 |
function translate bbox x_offset=0 y_offset=0
begin
set bbox = copy bbox
set bbox at tuple slice : : slice : 2 : = bbox at tuple slice : : slice : 2 : + tuple x_offset y_offset
set bbox at tuple slice : : slice 2 : 4 : = bbox at tuple slice : : slice 2 : 4 : + tuple x_offset y_offset
return bbox
end f... | def translate(bbox, x_offset=0, y_offset=0):
bbox = bbox.copy()
bbox[:, :2] += (x_offset, y_offset)
bbox[:, 2:4] += (x_offset, y_offset)
return bbox | Python | nomic_cornstack_python_v1 |
function from_json self json_content
begin
set data = loads json_content
set entity = call Client
set id_client = data at string id_client
set nom = data at string nom
set prenom = data at string prenom
set tel = data at string tel
set addresse = data at string addresse
set pays = data at string pays
set zipcode = data... | def from_json(self, json_content: str):
data = json.loads(json_content)
entity = Client()
entity.id_client = data['id_client']
entity.nom = data['nom']
entity.prenom = data['prenom']
entity.tel = data['tel']
entity.addresse = data['addresse']
entity.pays =... | Python | nomic_cornstack_python_v1 |
function __query self query params=string headers=dictionary content_type=string application/json method=string POST
begin
if is instance params str
begin
set data = encode params string utf8
end
else
begin
set data = params
end
if __connection is none
begin
set __connection = call HTTPConnection __host __port
end
set... | def __query(self, query, params='', headers=dict(),
content_type='application/json',
method='POST'):
if isinstance(params, str):
data = params.encode('utf8')
else:
data = params
if self.__connection is None:
self.__connection = http.client.HTTPConnection(self._... | Python | nomic_cornstack_python_v1 |
function print_table setx
begin
for sets in setx
begin
for i in sets
begin
for x in i
begin
print x end=string
end
end
print
end
end function | def print_table(setx):
for sets in setx:
for i in sets:
for x in i:
print(x,end=' ')
print() | Python | nomic_cornstack_python_v1 |
function count_upper_case_letters string
begin
set count = 0
for char in string
begin
if ordinal char >= 65 and ordinal char <= 90
begin
set count = count + 1
end
end
return count
end function
function count_upper_case_letters string
begin
if length string == 0
begin
return 0
end
set count = 0
for char in string
begin
... | def count_upper_case_letters(string):
count = 0
for char in string:
if ord(char) >= 65 and ord(char) <= 90:
count += 1
return count
def count_upper_case_letters(string):
if len(string) == 0:
return 0
count = 0
for char in string:
if ord(char) >= 65 and ord(... | Python | jtatman_500k |
async function get_jedy chat_id state
begin
set data = await call get_data
if string bot not in data
begin
set new_bot = call AquaBalanceBot chat_id
await call update_data bot=new_bot
return new_bot
end
return data at string bot
end function | async def get_jedy(chat_id, state: FSMContext):
data = await state.get_data()
if 'bot' not in data:
new_bot = AquaBalanceBot(chat_id)
await state.update_data(bot=new_bot)
return new_bot
return data['bot'] | Python | nomic_cornstack_python_v1 |
function get_valid_points self
begin
set valid_data_points = list _data_points at 0
set num_rows = length _data_points
comment valid_head contains the last valid point
comment current_head contains the current index to check
set valid_head = 0
set current_head = 1
while current_head < num_rows
begin
set start_data_poin... | def get_valid_points(self) -> List[DataPoint]:
valid_data_points = [self._data_points[0]]
num_rows = len(self._data_points)
# valid_head contains the last valid point
# current_head contains the current index to check
valid_head = 0
current_head = 1
while (curre... | Python | nomic_cornstack_python_v1 |
function getCurrency self currency_id
begin
set response = get requests string https://www.coinexchange.io/api/v1/getcurrency?currency_id= + currency_id
return json response
end function | def getCurrency(self, currency_id):
response = requests.get('https://www.coinexchange.io/api/v1/getcurrency?currency_id=' + currency_id)
return (response.json()) | Python | nomic_cornstack_python_v1 |
function test_returns_validating_observer self
begin
call call SpecificationObserverWrapper observer dict string message tuple string launch-servers ; string num_servers 2
assert equal e list dict string message tuple string Launching {num_servers} servers ; string num_servers 2 ; string otter_msg_type string launch-se... | def test_returns_validating_observer(self):
SpecificationObserverWrapper(self.observer)(
{'message': ("launch-servers",), "num_servers": 2})
self.assertEqual(
self.e,
[{'message': ('Launching {num_servers} servers', ),
'num_servers': 2,
'ot... | Python | nomic_cornstack_python_v1 |
comment The code below is based on Fig.15.19 in John Guttag's book.###
import random
from varStdDevCV import variance , stdDev , CV
import matplotlib.pyplot as plt
function flip numFlips
begin
string Assumes numFlips to be a positive int.
set heads = 0
for i in range numFlips
begin
if random choice tuple string H strin... | ###The code below is based on Fig.15.19 in John Guttag's book.###
import random
from varStdDevCV import variance,stdDev,CV
import matplotlib.pyplot as plt
def flip(numFlips):
"""Assumes numFlips to be a positive int."""
heads=0
for i in range(numFlips):
if random.choice(('H','T'))=='H':
... | Python | zaydzuhri_stack_edu_python |
comment Day 1 Exercise
function do_math
begin
string Create code within this function definition to do calculations below: What is 2 + 2? What is 10 / 3? What if I want integer division of 10 / 3? How do I compute 2 powers 10? (should be 1024) Write code to show your answers of those questions. There is no return value... | # Day 1 Exercise
def do_math():
"""
Create code within this function definition to do calculations below:
What is 2 + 2?
What is 10 / 3?
What if I want integer division of 10 / 3?
How do I compute 2 powers 10? (should be 1024)
Write code to show your answers of those questions.
... | Python | zaydzuhri_stack_edu_python |
function dropTables t=none
begin
set tablelist = if expression t == none then keys else list t
set conn = call getConnection
try
begin
set cur = call cursor
for table in keys tables
begin
set query = string DROP TABLE IF EXISTS %s; % table
execute cur query
commit conn
end
end
except Exception as ex
begin
print string ... | def dropTables(t=None):
tablelist = tables.keys if t == None else [t]
conn = getConnection()
try:
cur = conn.cursor()
for table in tables.keys():
query = "DROP TABLE IF EXISTS %s;" % table
cur.execute(query)
conn.commit()
except Exception as ex:
print("Failed to drop tables:" )
... | Python | nomic_cornstack_python_v1 |
function opts_shared cmd_func
begin
return reduce lambda _f opt_func -> call opt_func _f list opt_hostname opt_use_regex opt_log opt_log_level cmd_func
end function | def opts_shared(cmd_func):
return reduce(
lambda _f, opt_func: opt_func(_f), [
opt_hostname, opt_use_regex,
opt_log, opt_log_level],
cmd_func) | Python | nomic_cornstack_python_v1 |
function get_hidden_values self input
begin
set result = call activation dot input W + b
return result
end function | def get_hidden_values(self, input):
result=self.activation(T.dot(input, self.W) + self.b)
return result | Python | nomic_cornstack_python_v1 |
import fileReader
import montecarlo
import betting
import scraper
import time
comment FILENAME = 'nba-games.txt'
set FILENAME = string nfl-games.txt
function main
begin
set lines = list
append lines call makeLines FILENAME string Los Angeles Rams string Green Bay Packers
append lines call makeLines FILENAME string Bal... | import fileReader
import montecarlo
import betting
import scraper
import time
# FILENAME = 'nba-games.txt'
FILENAME = 'nfl-games.txt'
def main():
lines = []
lines.append(betting.makeLines(FILENAME, 'Los Angeles Rams', 'Green Bay Packers'))
lines.append(betting.makeLines(FILENAME, 'Baltimore Ravens', 'Buff... | Python | zaydzuhri_stack_edu_python |
function show self trans id deleted=string False **kwd
begin
set deleted = call string_as_bool deleted
try
begin
comment user is requesting data about themselves
if id == string current
begin
comment ...and is anonymous - return usage and quota (if any)
if not user
begin
set item = call anon_user_api_value trans
return... | def show( self, trans, id, deleted='False', **kwd ):
deleted = util.string_as_bool( deleted )
try:
# user is requesting data about themselves
if id == "current":
# ...and is anonymous - return usage and quota (if any)
if not trans.user:
... | Python | nomic_cornstack_python_v1 |
from time import time
from aima.csp import CSP
comment Variable list
set timeandplace = list
set classrooms = list string TP51 string SP34 string K3
set timeslots = list 9 10 11 12 1 2 3 4
set classes = list string MT101 string MT102 string MT103 string MT104 string MT105 string MT106 string MT107 string MT201 string ... | from time import time
from aima.csp import CSP
#Variable list
timeandplace = []
classrooms = ["TP51", "SP34", "K3"]
timeslots = [9,10,11,12,1,2,3,4]
classes = ["MT101","MT102","MT103","MT104","MT105","MT106","MT107","MT201","MT202","MT203","MT204","MT205","MT206","MT301","MT302","MT303","MT304","MT401","MT402","MT403... | Python | zaydzuhri_stack_edu_python |
comment from scipy.sparse import hstack, vstack, csr_matrix, save_npz, load_npz, coo_matrix
comment A = coo_matrix([[1, 2], [3, 4]])
comment B = [5, 6]
comment print(A)
comment print()
comment A = vstack((A, B))
comment print(A)
import numpy as np
from scipy.sparse import csr_matrix
import csv
import pandas
set m = arr... | # from scipy.sparse import hstack, vstack, csr_matrix, save_npz, load_npz, coo_matrix
# A = coo_matrix([[1, 2], [3, 4]])
# B = [5, 6]
# print(A)
# print()
# A = vstack((A, B))
# print(A)
import numpy as np
from scipy.sparse import csr_matrix
import csv
import pandas
m = np.array([[1,2,3],[4,5,6],[7,8,9]])
m = csr_matr... | Python | zaydzuhri_stack_edu_python |
from bs4 import BeautifulSoup
from requests import get
import json
from DataFormatting.FormatText import FormatSentence
from DataFormatting import VenueClass
comment Array to store all Venues of type VenueClass
set allVenues = list
function extractVenue tag venue
begin
print string --Huone--
comment extract link into ... | from bs4 import BeautifulSoup
from requests import get
import json
from DataFormatting.FormatText import FormatSentence
from DataFormatting import VenueClass
allVenues = [] # Array to store all Venues of type VenueClass
def extractVenue(tag, venue):
print("--Huone--")
# extract link into the venue
ven... | Python | zaydzuhri_stack_edu_python |
function version self
begin
return get pulumi self string version
end function | def version(self) -> str:
return pulumi.get(self, "version") | Python | nomic_cornstack_python_v1 |
for i in range n - 1
begin
set ans = ans + a at n - 1 - i + 1 // 2
end
print ans | for i in range(n-1):
ans+=a[n-1-(i+1)//2]
print(ans)
| Python | zaydzuhri_stack_edu_python |
function word_iter self set_name=none character=false
begin
if set_name is none
begin
set data_set = train_set + dev_set
end
else
if set_name == string train
begin
set data_set = train_set
end
else
if set_name == string dev
begin
set data_set = dev_set
end
else
begin
raise call NotImplementedError format string No data... | def word_iter(self, set_name=None, character=False):
if set_name is None:
data_set = self.train_set + self.dev_set
elif set_name == "train":
data_set = self.train_set
elif set_name == "dev":
data_set = self.dev_set
else:
raise NotImplemente... | Python | nomic_cornstack_python_v1 |
function pytest_generate_tests metafunc
begin
try
begin
set func_arg_list = parameterize_dict at __name__
end
except tuple AttributeError KeyError
begin
return
end
set arg_names = sorted func_arg_list at 0
call parametrize arg_names list comprehension list comprehension func_args at name for name in arg_names for func_... | def pytest_generate_tests(metafunc):
try:
func_arg_list = metafunc.cls.parameterize_dict[metafunc.function.__name__]
except (AttributeError, KeyError):
return
arg_names = sorted(func_arg_list[0])
metafunc.parametrize(
arg_names,
[[func_args[name] for name in arg_names] fo... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
string Lambda Function that simulates a single Neuron for both forward and backward propogation. If the state is `forward` then the function simulates forward propogation for `X` to the `Cost`. If the state is backward, then the function calculates the gradient of the derivative of the activati... | #!/usr/bin/python
"""
Lambda Function that simulates a single Neuron for both forward and backward propogation.
If the state is `forward` then the function simulates forward propogation for `X` to the `Cost`.
If the state is backward, then the function calculates the gradient of the derivative of the
activation functi... | Python | zaydzuhri_stack_edu_python |
function test_image_url self
begin
set img_url = string http://www.ndftz.com/nickelanddime.png
set read = parse ReadUrl img_url
assert true status == 200 string The status is 200: + string status
assert true content is none string Content should be none:
end function | def test_image_url(self):
img_url = 'http://www.ndftz.com/nickelanddime.png'
read = ReadUrl.parse(img_url)
self.assertTrue(
read.status == 200, "The status is 200: " + str(read.status))
self.assertTrue(
read.content is None, "Content should be none: ") | Python | nomic_cornstack_python_v1 |
import math
from typing import List
function read_file file_path
begin
with open file_path string r encoding=string UTF-8 as f
begin
return read f
end
end function
function parse dim_list
begin
return list comprehension list comprehension integer dim for dim in split line string x for line in call splitlines
end functi... | import math
from typing import List
def read_file(file_path):
with open(file_path, 'r', encoding="UTF-8") as f:
return f.read()
def parse(dim_list):
return [[int(dim) for dim in line.split('x')] for line in dim_list.splitlines()]
def part_one(dim_list: List) -> int:
return sum(calc_area(dim) f... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
set data = read csv string fishdata/fish_clean.csv
set stocks = group by data string stockid
function getStock stockid
begin
print string stockid in getStock stockid
set group = call get_group stockid
comment print("group.columns", group.columns)
set df = concat list year group at string U/Umsytouse... | import pandas as pd
data = pd.read_csv('fishdata/fish_clean.csv')
stocks = data.groupby('stockid')
def getStock(stockid):
print("stockid in getStock", stockid)
group = stocks.get_group(stockid)
# print("group.columns", group.columns)
df = pd.concat([group.year, group['U/Umsytouse'], group['B/Bmsytouse']],... | Python | zaydzuhri_stack_edu_python |
function check_cal_version list_of_flts cal_versions
begin
set good_flts = list
set bad_flts = list
for flt in list_of_flts
begin
set hdulist = open flt
set hdr = header
close
end
end function | def check_cal_version(list_of_flts,cal_versions):
good_flts = []
bad_flts=[]
for flt in list_of_flts:
hdulist=fits.open(flt)
hdr=hdulist[0].header
hdulist.close | Python | nomic_cornstack_python_v1 |
import collections
class Solution extends object
begin
comment Exceed the time limit
function wordBreak3 self s wordDict
begin
string :type s: str :type wordDict: List[str] :rtype: bool
if length s == 0
begin
return true
end
set returnVal = false
for i in range 1 length s + 1
begin
set word = s at slice : i :
if s at... | import collections
class Solution(object):
# Exceed the time limit
def wordBreak3(self, s, wordDict):
"""
:type s: str
:type wordDict: List[str]
:rtype: bool
"""
if len(s) == 0:
return True
returnVal = False
for i in range(1, len(s) + ... | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
from tensorflow.python.ops import array_ops , math_ops
function _centered arr newshape
begin
comment Return the center newshape portion of the array.
set currshape = call shape arr at slice - 3 : :
set startind = currshape - newshape // 2
set endind = startind + newshape
return arr at tuple El... | import tensorflow as tf
from tensorflow.python.ops import array_ops, math_ops
def _centered(arr, newshape):
# Return the center newshape portion of the array.
currshape = tf.shape(arr)[-3:]
startind = (currshape - newshape) // 2
endind = startind + newshape
return arr[..., startind[0]:endind[0], st... | Python | zaydzuhri_stack_edu_python |
comment pragma: no cover
function get_token self
begin
return tuple get session string access_token string
end function | def get_token(self): # pragma: no cover
return (session.get("access_token"), "") | Python | nomic_cornstack_python_v1 |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
function visualize_correlation data_df start_date end_date
begin
comment Filter the dataframe based on the date range
set filtered_df = data_df at data_df at string date >= start_date ? data_df at string date <= end_date
comment Create a scatter ... | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def visualize_correlation(data_df, start_date, end_date):
# Filter the dataframe based on the date range
filtered_df = data_df[(data_df['date'] >= start_date) & (data_df['date'] <= end_date)]
# Create a scatter plot with color ... | Python | jtatman_500k |
function readfile self writeToFile
begin
for file in filenames
begin
set all_page = list
if string AI in file
begin
set prefix = AI_pre
set target = string AI
end
else
begin
set prefix = Not_AI_pre
set target = string Not
end
set category = split split file string , at 0 string _ at 0
print string = * 20 + format stri... | def readfile(self,writeToFile):
for file in self.filenames:
all_page = []
if "AI" in file:
prefix = self.AI_pre
target = "AI"
else:
prefix = self.Not_AI_pre
target = "Not"
category = file.split(',')[0... | Python | nomic_cornstack_python_v1 |
function get_borders self
begin
set borders = list
if flipped
begin
for i in range 4
begin
append borders mirrored_borders at - rotation + i % 4
end
end
else
begin
for i in range 4
begin
append borders borders at - rotation + i % 4
end
end
return borders
end function | def get_borders(self):
borders = []
if self.flipped:
for i in range(4):
borders.append(self.mirrored_borders[(-self.rotation + i) % 4])
else:
for i in range(4):
borders.append(self.borders[(-self.rotation + i) % 4])
return borders | Python | nomic_cornstack_python_v1 |
string Convex Hull Points from Coderbyte January 2021 Jakub Kazimierski
import sys
function orientation point_I point_II point_III
begin
string To find orientation of ordered triplet (point_I, point_II, point_III). The function returns following values 0 --> point_I, point_II and point_III are colinear 1 --> Clockwise ... | '''
Convex Hull Points from Coderbyte
January 2021 Jakub Kazimierski
'''
import sys
def orientation(point_I, point_II, point_III):
'''
To find orientation of ordered triplet (point_I, point_II, point_III).
The function returns following values
0 --> point_I, point_II and point_III are... | Python | zaydzuhri_stack_edu_python |
function rank test
begin
set dizi = test
set dizi2 = list
for i in range 0 length dizi
begin
for j in range 0 length dizi
begin
if dizi at i + 1 == dizi at j
begin
print string * dizi at i string sayısı index dizi dizi at i string . indiste ve kendisinden büyük ardışığı olan dizi at j string sayısı ise index dizi dizi... | def rank(test):
dizi = test
dizi2=[]
for i in range(0,len(dizi)):
for j in range(0,len(dizi)):
if(dizi[i]+1==dizi[j]):
print("* ",dizi[i], " sayısı ",dizi.index(dizi[i]),". indiste ve kendisinden büyük ardışığı olan ", dizi[j]," sayısı ise ",dizi.index(dizi[j]),". indi... | Python | zaydzuhri_stack_edu_python |
function _storage_init self
begin
if not initialized
begin
call init _py3_wrapper
end
end function | def _storage_init(self):
if not self._storage.initialized:
self._storage.init(self._module._py3_wrapper) | Python | nomic_cornstack_python_v1 |
import pandas as pd
function count_unique_subjects teacher
begin
set df = reset index call nunique
rename columns=dict string subject_id string cnt inplace=true
return df
end function | import pandas as pd
def count_unique_subjects(teacher: pd.DataFrame) -> pd.DataFrame:
df = teacher.groupby("teacher_id")["subject_id"].nunique().reset_index()
df.rename(columns={"subject_id": "cnt"}, inplace=True)
return df
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment Google Code Jam - 2017
comment Round1A - Problem A - Alphabet Cake
comment Joaquin Derrac - carrdelling@gmail.com
import sys
function fill_columnwise r c grid
begin
set remaining = true
set advancing = true
while remaining and advancing
begin
set remaining = false
set advancing = fa... | #!/usr/bin/env python
################################################################################
#
# Google Code Jam - 2017
#
# Round1A - Problem A - Alphabet Cake
#
# Joaquin Derrac - carrdelling@gmail.com
#
################################################################################
import sys
def fill_... | Python | zaydzuhri_stack_edu_python |
function _compute_msms system lmax average=false wl=false
begin
set voro = call compute system=system
set op = call Steinhardt l=list range lmax + 1 average=average weighted=true wl=wl wl_normalize=wl
call compute system neighbors=nlist
return particle_order
end function | def _compute_msms(system, lmax, average=False, wl=False):
voro = freud.locality.Voronoi().compute(system=system)
op = freud.order.Steinhardt(
l=list(range(lmax + 1)), average=average, weighted=True, wl=wl, wl_normalize=wl
)
op.compute(system, neighbors=voro.nlist)
return op.particle_order | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import numpy as np
import sys
from numpy import linalg as LA
comment To convert string to dictionnary
import json , ast
comment ===================================================
comment Nouveaux programmes:
import LagrangeInterpolation as LI
import LagrangePolynomial
import string
commen... | # -*- coding: utf-8 -*-
import numpy as np
import sys
from numpy import linalg as LA
import json, ast ### To convert string to dictionnary
###===================================================
### Nouveaux programmes:
import LagrangeInterpolation as LI
import LagrangePolynomial
import string
##=====================Exa... | Python | zaydzuhri_stack_edu_python |
import random
set clearanceScale = dict 0 string No Access ; 1 string Level 1 Clearance ; 2 string Level 2 Clearance ; 3 string Level 3 Clearance ; 4 string Level 4 Clearance ; 5 string Top Level Clearance
class Silph
begin
set clearance = 0
set login1 = false
end class | import random
clearanceScale = {0: 'No Access', 1: 'Level 1 Clearance', 2: 'Level 2 Clearance',3: 'Level 3 Clearance', 4: 'Level 4 Clearance', 5: 'Top Level Clearance'}
class Silph:
clearance = 0
login1 = False | Python | zaydzuhri_stack_edu_python |
function documento
begin
pass
end function | def documento():
pass | Python | nomic_cornstack_python_v1 |
function compute matrix missing_val
begin
set vals = list comprehension matrix at r at c for r in keys matrix for c in matrix at r if matrix at r at c != missing_val
return call Stats min vals max vals sum vals / length vals
end function | def compute(matrix, missing_val):
vals = [matrix[r][c]
for r in matrix.keys()
for c in matrix[r]
if matrix[r][c] != missing_val]
return Stats(min(vals), max(vals), sum(vals)/len(vals)) | Python | nomic_cornstack_python_v1 |
function __rejectCookie self cookie cookieDomain
begin
if not __loaded
begin
call __load
end
if __acceptCookies == AcceptNever
begin
set res = call __isOnDomainList __exceptionsAllow cookieDomain
if not res
begin
return true
end
end
if __acceptCookies == AcceptAlways
begin
set res = call __isOnDomainList __exceptionsBl... | def __rejectCookie(self, cookie, cookieDomain):
if not self.__loaded:
self.__load()
if self.__acceptCookies == self.AcceptNever:
res = self.__isOnDomainList(self.__exceptionsAllow, cookieDomain)
if not res:
return True
if self... | Python | nomic_cornstack_python_v1 |
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