code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function add_grover_without_ancilla_1_0 qc register
begin
if length list register != 2
begin
raise call ValueError string Need QuantumRegister with exactly 2 qubits, but got { length list register } instead.
end
comment Mix states initially
call h register
comment Repeat Grover iteration just once
call _add_grover_step... | def add_grover_without_ancilla_1_0(qc: QuantumCircuit, register: QuantumRegister) -> None:
if len(list(register)) != 2:
raise ValueError(f"Need QuantumRegister with exactly 2 qubits, but got {len(list(register))} instead.")
qc.h(register) # Mix states initially
_add_grover_step_without_ancilla_1_0... | Python | nomic_cornstack_python_v1 |
function calculate_flour_per_pound
begin
comment Total flour (*3 bags of 8 cups each)
comment 24 cups
set total_flour = 3 * 8
comment Total pasta made with 1 additional rack needed means making 12 pounds
set pounds_of_pasta = 12
comment Calculate cups of flour needed per pound of pasta
set cups_per_pound = total_flour ... | def calculate_flour_per_pound():
# Total flour (*3 bags of 8 cups each)
total_flour = 3 * 8 # 24 cups
# Total pasta made with 1 additional rack needed means making 12 pounds
pounds_of_pasta = 12
# Calculate cups of flour needed per pound of pasta
cups_per_pound = total_flour / pounds_of_pasta... | Python | dbands_pythonMath |
function plans request template=none
begin
try
begin
set plans = get requests TASK_ENGINE_URL + string /plans
set plans = json
set data = dict string plans plans at string plans
end
except any
begin
set data = dict string error string Error retrieving plans. Check the connection to the task engine.
end
return call rend... | def plans(request, template=None):
try:
plans = requests.get(settings.TASK_ENGINE_URL + '/plans')
plans = plans.json
data = {"plans":plans['plans']}
except:
data = {"error":"Error retrieving plans. Check the connection to the task engine."}
return render(request, template, da... | Python | nomic_cornstack_python_v1 |
function is_dotted self
begin
return _dotted
end function | def is_dotted(self) -> bool:
return self._dotted | Python | nomic_cornstack_python_v1 |
string Foundations Problems from CodeWars. You might know some pretty large perfect squares. But what about the NEXT one? Complete the findNextSquare method that finds the next integral perfect square after the one passed as a parameter. Recall that an integral perfect square is an integer n such that sqrt(n) is also a... | """Foundations Problems from CodeWars.
You might know some pretty large perfect squares. But what about the NEXT one?
Complete the findNextSquare method that finds the next integral perfect square after the one passed as a parameter. Recall that an integral perfect square is an integer n such that sqrt(n) is also an ... | Python | zaydzuhri_stack_edu_python |
import sys
import pandas as pd
import analyze_mosquito_data_lib as mosquito_lib
set filename = argv at 1 | import sys
import pandas as pd
import analyze_mosquito_data_lib as mosquito_lib
filename = sys.argv[1]
| Python | zaydzuhri_stack_edu_python |
function letterCount word
begin
set word = lower word
set letterCountDict = dict
for l in word
begin
if l in letterCountDict
begin
set letterCountDict at l = letterCountDict at l + 1
end
else
begin
set letterCountDict at l = 1
end
end
return letterCountDict
end function
print call letterCount word | def letterCount(word):
word = word.lower()
letterCountDict = {}
for l in word:
if(l in letterCountDict):
letterCountDict[l] += 1
else:
letterCountDict[l] = 1
return letterCountDict
print(letterCount(word))
| Python | zaydzuhri_stack_edu_python |
comment !usr/bin/python
set num1 = eval input string Enter 1st number:
set num2 = eval input string Enter 2nd number:
set num3 = eval input string Enter 3rd number:
if num1 < num2 and num1 < num3
begin
print num1 string is smallest among three
end
else
if num2 < num3
begin
print num2 string is smallest among three
end
... | #!usr/bin/python
num1 = eval(input("Enter 1st number:\n"))
num2 = eval(input("Enter 2nd number:\n"))
num3 = eval(input("Enter 3rd number:\n"))
if(num1 < num2 and num1 < num3):
print(num1 ,"is smallest among three\n")
elif(num2 < num3):
print(num2 ,"is smallest among three\n")
else:
print(num3, "is smalles... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Thu Mar 28 16:16:31 2019 @author: siddh
import string
import os
import nltk
import pickle
from collections import Counter
class Vocabulary extends object
begin
string Simple vocabulary wrapper.
function __init__ self
begin
set word2idx = dict
set idx2word = dict
set idx... | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 28 16:16:31 2019
@author: siddh
"""
import string
import os
import nltk
import pickle
from collections import Counter
class Vocabulary(object):
"""Simple vocabulary wrapper."""
def __init__(self):
self.word2idx = {}
self.idx2word = {}
sel... | Python | zaydzuhri_stack_edu_python |
function interpolate_bad im mask
begin
set tuple nrows ncols = shape
for col in range ncols
begin
set last_good = 0
set have_good = false
for row in range nrows
begin
if mask at tuple row col > 0
begin
comment we hit a bad value
if have_good
begin
comment we have a good value to continue
set im at tuple row col = last_... | def interpolate_bad(im, mask):
nrows,ncols = im.shape
for col in range(ncols):
last_good=0
have_good=False
for row in range(nrows):
if mask[row,col] > 0:
# we hit a bad value
if have_good:
# we have a good value to continue... | Python | nomic_cornstack_python_v1 |
function std_deviation self
begin
return standard deviation np scores
end function | def std_deviation(self):
return np.std(self.scores) | Python | nomic_cornstack_python_v1 |
set number = integer input string Podaj liczbe:
set divisors = list comprehension div for div in range 1 number + 1 if number % div == 0
print string Divisors of { number } : { divisors } | number = int(input("Podaj liczbe: "))
divisors = [div for div in range(1,number+1) if number % div == 0]
print(f"Divisors of {number}: {divisors}") | Python | zaydzuhri_stack_edu_python |
comment Memoization dictionary
set memo = dict
function factorial n
begin
comment Check for invalid inputs
if not is instance n int or n < 0
begin
raise call ValueError string Invalid input. Input must be a non-negative integer.
end
comment Base case
if n == 0 or n == 1
begin
return 1
end
comment Check if the factoria... | # Memoization dictionary
memo = {}
def factorial(n):
# Check for invalid inputs
if not isinstance(n, int) or n < 0:
raise ValueError("Invalid input. Input must be a non-negative integer.")
# Base case
if n == 0 or n == 1:
return 1
# Check if the factorial is already calculated
... | Python | greatdarklord_python_dataset |
function register_module_level_strings self
begin
set module = call get_module
set ast_module = call get_ast
for token in ast_module
begin
set typ = type
if starts with string typ string Token.Literal.String
begin
set triple_quotes = tuple string """ string '''
if starts with text triple_quotes
begin
call _bookmark_lin... | def register_module_level_strings(self):
module = self.get_module()
ast_module = module.get_ast()
for token in ast_module:
typ = token.type
if str(typ).startswith('Token.Literal.String'):
triple_quotes = ('"""', "'''")
if token.text.startsw... | Python | nomic_cornstack_python_v1 |
function import_imdb_multi_graph self weights
begin
from IMDb_data_preparation_E2V import MoviesGraph
set weights_dict = dict string movies_edges weights at 0 ; string labels_edges weights at 1
set dict_paths = dict string cast string data_set/IMDb title_principals.csv ; string genre string data_set/IMDb movies.csv
set... | def import_imdb_multi_graph(self, weights):
from IMDb_data_preparation_E2V import MoviesGraph
weights_dict = {'movies_edges': weights[0], 'labels_edges': weights[1]}
dict_paths = {'cast': 'data_set/IMDb title_principals.csv', 'genre': 'data_set/IMDb movies.csv'}
imdb = MoviesGraph(dict_p... | Python | nomic_cornstack_python_v1 |
function step_writer trajectory_out out_queue n_procs
begin
set write_counter = 0
while write_counter < n_procs
begin
comment time out in 30 minutes if nothing is written
set msg = get out_queue
comment start_time = time.time()
if is instance msg str
begin
set write_counter = write_counter + 1
end
else
begin
set atoms_... | def step_writer(trajectory_out, out_queue, n_procs):
write_counter = 0
while write_counter < n_procs:
msg = out_queue.get() # time out in 30 minutes if nothing is written
# start_time = time.time()
if isinstance(msg, str):
writ... | Python | nomic_cornstack_python_v1 |
comment !/usr/python3
comment Nikki Benoit
comment Aug 14 2019 15:57:22.5722 MST
comment Encrypt using permutation cipher and then decrypt
import string
import numpy
comment Get plaintext and key
set plaintext = upper string Mary had a little lamb, its fleece as white as snow. Everywhere that Mary went, the lamb was su... | #!/usr/python3
#
# Nikki Benoit
# Aug 14 2019 15:57:22.5722 MST
#
#####################################
# Encrypt using permutation cipher and then decrypt
#####################################
import string
import numpy
# Get plaintext and key
plaintext = "Mary had a little lamb, its fleece as white as ... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
comment 함수의 정의와 호출
function suhyun x
begin
set result = x * 2
return result
end function
print call suhyun 100 | #-*- coding: utf-8 -*-
# 함수의 정의와 호출
def suhyun(x):
result = x * 2
return result
print(suhyun(100))
| Python | zaydzuhri_stack_edu_python |
import boto3
import json
function saveOrder
begin
set f = open string orders.json string a
set sqs = call client string sqs
set response = call receive_message QueueUrl=string https://sqs.us-east-1.amazonaws.com/292274580527/cc406_team3
comment If the response is empty, close the file and return
if response == none
beg... | import boto3
import json
def saveOrder():
f = open("orders.json", 'a')
sqs = boto3.client('sqs')
response = sqs.receive_message(
QueueUrl='https://sqs.us-east-1.amazonaws.com/292274580527/cc406_team3'
)
# If the response is empty, close the file and return
if response == None:
... | Python | zaydzuhri_stack_edu_python |
function parameters self
begin
return get pulumi self string parameters
end function | def parameters(self) -> Optional[Mapping[str, 'outputs.ParameterSpecificationResponse']]:
return pulumi.get(self, "parameters") | Python | nomic_cornstack_python_v1 |
import boto3
function get_all_regions
begin
set client = call client string ec2
set regions = list comprehension region at string RegionName for region in call describe_regions at string Regions
return regions
end function
function get_rds_instances region
begin
set client = call client string rds region_name=region
se... | import boto3
def get_all_regions():
client = boto3.client('ec2')
regions = [region['RegionName'] for region in client.describe_regions()['Regions']]
return regions
def get_rds_instances(region):
client = boto3.client('rds',region_name=region)
response = client.describe_db_instances()
insta... | Python | zaydzuhri_stack_edu_python |
function db cls
begin
return get attribute db __name__
end function | def db(cls):
return getattr(db, cls.__name__) | Python | nomic_cornstack_python_v1 |
function amend_basket_quantity request order_id product_id increment new_value=none ajax=true
begin
set userprofile = call get_profile
set order = call get_object_or_404 Order id=order_id
set Product = call get_product_model
set increment = integer increment
set new_value = new_value and integer new_value
set product =... | def amend_basket_quantity(request, order_id, product_id, increment, new_value=None, ajax=True):
userprofile = request.user.get_profile()
order = get_object_or_404(Order, id=order_id)
Product = order.get_product_model()
increment=int(increment)
new_value = new_value and int(new_value)
produc... | Python | nomic_cornstack_python_v1 |
function on_recv self callback
begin
raise call NotImplementedError string abstract method was called
end function | def on_recv(self, callback):
raise NotImplementedError("abstract method was called") | Python | nomic_cornstack_python_v1 |
comment funciones para cargar y manipular imagenes
import Image
comment funciones numericas (arrays, matrices, etc.)
import numpy as np
comment funciones para representacion grafica
import matplotlib.pyplot as plt
set img = open string ./img.png
comment img.show() | import Image # funciones para cargar y manipular imagenes
import numpy as np # funciones numericas (arrays, matrices, etc.)
import matplotlib.pyplot as plt # funciones para representacion grafica
img = Image.open("./img.png")
# img.show()
| Python | zaydzuhri_stack_edu_python |
function test_default_cleaning_style currency_df
begin
set result = call currency_column_to_numeric string d_col
set expected = call DataFrame dict string a_col list string 24.56 string - string (12.12) string 1,000,000 ; string d_col list nan nan 1.23 - 1000
call assert_frame_equal result expected
end function | def test_default_cleaning_style(currency_df):
result = currency_df.currency_column_to_numeric(
"d_col",
)
expected = pd.DataFrame(
{
"a_col": [" 24.56", "-", "(12.12)", "1,000,000"],
"d_col": [np.nan, np.nan, 1.23, -1_000],
}
)
assert_frame_equal(resul... | Python | nomic_cornstack_python_v1 |
string Compute the short-time coherence function as proposed by Michaels.
from packages import utkit , scihdf , utils
import pandas as pd
import numpy as np
from scipy.signal import fftconvolve
function compute_coherence s1 s2 width overlap
begin
comment align signal s1 with s2
set s1 = call s1 index
set time_ = index ... | """
Compute the short-time coherence function as proposed by Michaels.
"""
from packages import utkit, scihdf, utils
import pandas as pd
import numpy as np
from scipy.signal import fftconvolve
def compute_coherence(s1, s2, width, overlap):
# align signal s1 with s2
s1 = s1(s2.index)
time_ = s1.index[0]
... | Python | zaydzuhri_stack_edu_python |
function scale_transform x lower upper
begin
comment default value of center
set offset = lower + upper * 0.5
comment return normalized tensor
return 2 * x - offset / upper - lower
end function | def scale_transform(x: torch.Tensor, lower: torch.Tensor, upper: torch.Tensor) -> torch.Tensor:
# default value of center
offset = (lower + upper) * 0.5
# return normalized tensor
return 2 * (x - offset) / (upper - lower) | Python | nomic_cornstack_python_v1 |
import serial
import serial.rs485
import time
function openSerial sPort sBaudrate sParity sStopbits sBytesize sTimeout
begin
set ser = call Serial port=sPort baudrate=sBaudrate parity=sParity stopbits=sStopbits bytesize=sBytesize timeout=sTimeout
return ser
end function
function closeSerial ser
begin
close ser
end func... | import serial
import serial.rs485
import time
def openSerial(sPort, sBaudrate, sParity, sStopbits, sBytesize, sTimeout) :
ser = serial.Serial(
port = sPort,
baudrate = sBaudrate,
parity = sParity,
stopbits = sStopbits,
bytesize = sBytesize,
timeout = sTimeout
)
... | Python | zaydzuhri_stack_edu_python |
import heapq
set listEx = list 8 5 2 9 5 6 3
comment Via min Heap
function heapSort arr
begin
set temp = list
while length arr > 0
begin
call heapify arr
append temp call heappop arr
end
return temp
end function
print call heapSort listEx | import heapq
listEx = [8, 5, 2, 9, 5, 6,3]
# Via min Heap
def heapSort(arr):
temp = []
while len(arr) > 0:
heapq.heapify(arr)
temp.append(heapq.heappop(arr))
return temp
print(heapSort(listEx))
| Python | zaydzuhri_stack_edu_python |
function calculate_overlaps_masks self masks1 masks2
begin
comment If either set of masks is empty return empty result
if shape at 0 == 0 or shape at 0 == 0
begin
return zeros tuple shape at 0 shape at - 1
end
comment flatten masks and compute their areas
set masks1 = as type reshape np masks1 > 0.5 tuple - 1 shape at ... | def calculate_overlaps_masks(self, masks1, masks2):
# If either set of masks is empty return empty result
if masks1.shape[0] == 0 or masks2.shape[0] == 0: return np.zeros((masks1.shape[0], masks2.shape[-1]))
# flatten masks and compute their areas
masks1 = np.reshape(masks1 > .5, (-1, ... | Python | nomic_cornstack_python_v1 |
function get_piece_centric_features self board
begin
set features = list
set pieces = list string p1 string p2 string p3 string p4 string p5 string p6 string p7 string p8 string n1 string n2 string b1 string b2 string r1 string r2 string q string k string P1 string P2 string P3 string P4 string P5 string P6 string P7 ... | def get_piece_centric_features(self, board):
features = []
pieces = ['p1', 'p2', 'p3', 'p4', 'p5', 'p6', 'p7', 'p8', 'n1', 'n2', 'b1', 'b2', 'r1', 'r2', 'q', 'k',
'P1', 'P2', 'P3', 'P4', 'P5', 'P6', 'P7', 'P8', 'N1', 'N2', 'B1', 'B2', 'R1', 'R2', 'Q', 'K']
positions = self.ge... | Python | nomic_cornstack_python_v1 |
function __init__ __self__ create_source=none source_uri=none
begin
if create_source is not none
begin
set __self__ string create_source create_source
end
if source_uri is not none
begin
set __self__ string source_uri source_uri
end
end function | def __init__(__self__, *,
create_source: Optional[str] = None,
source_uri: Optional[str] = None):
if create_source is not None:
pulumi.set(__self__, "create_source", create_source)
if source_uri is not None:
pulumi.set(__self__, "source_uri", sou... | Python | nomic_cornstack_python_v1 |
if Second >= 60
begin
set Second = Second - 60
set Minute = Minute + 1
end
comment 분
set Minute = Minute + needTime % 60
set needTime = needTime // 60
if Minute >= 60
begin
set Minute = Minute - 60
set Hour = Hour + 1
end
set Hour = Hour + needTime % 24
if Hour >= 24
begin
set Hour = Hour - 24
end
print Hour Minute Sec... | if Second >= 60:
Second -= 60
Minute += 1
Minute += needTime % 60 #분
needTime //= 60
if Minute >= 60:
Minute -= 60
Hour += 1
Hour += needTime % 24
if Hour >= 24:
Hour -= 24
print(Hour, Minute, Second) | Python | zaydzuhri_stack_edu_python |
function help
begin
set text = string ATEMPO %s v2 USAGE: %s project [project [project]]... [44mDirectories:[m Only projects in the 'flame_%s' directory will be written to tape. % tuple upper ARCH_TYPE base name path argv at 0 ARCH_TYPE
end function | def help():
text = """
ATEMPO %s v2
USAGE:
%s project [project [project]]...
[44mDirectories:[m
Only projects in the 'flame_%s' directory will
be written to tape.
\n""" % (ARCH_TYPE.upper(),os.path.basename(sys.argv[0]),ARCH_TYPE) | Python | nomic_cornstack_python_v1 |
function getOrderTitle self media
begin
set formatted_title = call getTranslatedTitle
set parent_collector = call getParentCollector
if parent_collector
begin
set media_media = call getMedia
set media_category = call getCategory
set episode = call getEpisode
set track = call getTrack
set volume = call getVolume
set par... | def getOrderTitle(self, media):
formatted_title = self.getTranslatedTitle()
parent_collector = media.getParentCollector()
if parent_collector:
media_media = media.control.getMedia()
media_category = media.control.getCategory()
episode = m... | Python | nomic_cornstack_python_v1 |
function sample_gaussian cov=200.0 population_size=1000 sample_size=500 seed=none
begin
seed seed
comment set mean as 0, doesn't really matter
set population = list comprehension integer i for i in call normal 0 cov population_size
set sample = population at slice : sample_size :
return dict string sample sample ; st... | def sample_gaussian(cov=200.0, population_size=1000, sample_size=500, seed=None):
np.random.seed(seed)
population = [int(i) for i in np.random.normal(0, cov, population_size)] # set mean as 0, doesn't really matter
sample = population[:sample_size]
return {"sample": sample, "sample_distinct":... | Python | nomic_cornstack_python_v1 |
from kmeans import *
from numpy import *
if __name__ == string __main__
begin
string with open("seeds_dataset.txt") as f: dataset = [[float(x) for x in line.split(' ') if x != ''] for line in f] for i in dataset: del i[-1] print i file = open("seeds", 'w+') for tuple in dataset: s = ','.join(str(s) for s in tuple) file... | from kmeans import *
from numpy import *
if __name__ =='__main__':
'''
with open("seeds_dataset.txt") as f:
dataset = [[float(x) for x in line.split('\t') if x != ''] for line in f]
for i in dataset:
del i[-1]
print i
file = open("seeds", 'w+')
for tuple in dataset:
... | Python | zaydzuhri_stack_edu_python |
function test_init
begin
clear metadata
with raises ValueError
begin
get metadata list string alice string bob
end
get metadata
end function | def test_init():
metadata.clear()
with pytest.raises(ValueError):
metadata.get(['alice', 'bob'])
metadata.get() | Python | nomic_cornstack_python_v1 |
from game.myclass import Game
from game.rlutil import get_state , get_actions
from config import ACTIONS , ACTION_SIZE
comment LR接口类 #
class Agent extends object
begin
string 只可以在player 1进行训练,player 2/3可以random,规则或rl的val_net
function __init__ self player=1 models=list string rl string random string random
begin
set gam... | from game.myclass import Game
from game.rlutil import get_state, get_actions
from config import ACTIONS,ACTION_SIZE
############################################
# LR接口类 #
############################################
class Agent(object):
"""
只可以在player 1进行训练,player... | Python | zaydzuhri_stack_edu_python |
from selenium import webdriver
import datetime
import time
function login_func username password
begin
set driver = call Chrome
get driver string http://thc-game.com
set mail_field = call find_element_by_name string thclogin_name
call send_keys username
set pass_field = call find_element_by_name string thclogin_pass
ca... | from selenium import webdriver
import datetime
import time
def login_func(username, password):
driver = webdriver.Chrome()
driver.get('http://thc-game.com')
mail_field = driver.find_element_by_name("thclogin_name")
mail_field.send_keys(username)
pass_field = driver.find_element_by_name("thclogin_... | Python | zaydzuhri_stack_edu_python |
function multiplicar_por multiplicador
begin
function multi multiplicando
begin
return multiplicando * multiplicador
end function
return multi
end function
set multiplicar_por_10 = call multiplicar_por 10
print call multiplicar_por_10 1
print call multiplicar_por_10 2
set multiplicar_por_5 = call multiplicar_por 5
prin... | def multiplicar_por(multiplicador):
def multi(multiplicando):
return multiplicando * multiplicador
return multi
multiplicar_por_10 = multiplicar_por(10)
print(multiplicar_por_10(1))
print(multiplicar_por_10(2))
multiplicar_por_5 = multiplicar_por(5)
print(multiplicar_por_5(1))
print(multiplicar_por_5(... | Python | zaydzuhri_stack_edu_python |
function search sudoku_map
begin
if sudoku_map is false
begin
comment Failed earlier
return false
end
if all generator expression length sudoku_map at s == 1 for s in squares
begin
comment solved
return sudoku_map
end
comment choose the unfilled square with the fewest choices
set tuple choices square = min generator ex... | def search(sudoku_map):
if sudoku_map is False:
return False ## Failed earlier
if all(len(sudoku_map[s]) == 1 for s in squares):
return sudoku_map ## solved
## choose the unfilled square with the fewest choices
choices, square = min((len(sudoku_map[s]... | Python | nomic_cornstack_python_v1 |
function cudaGetDevice
begin
string Get current CUDA device. Return the identifying number of the device currently used to process CUDA operations. Returns ------- dev : int Device number.
set dev = call c_int
set status = call cudaGetDevice call byref dev
call cudaCheckStatus status
return value
end function | def cudaGetDevice():
"""
Get current CUDA device.
Return the identifying number of the device currently used to
process CUDA operations.
Returns
-------
dev : int
Device number.
"""
dev = ctypes.c_int()
status = _libcudart.cudaGetDevice(ctypes.byref(dev))
cudaChec... | Python | jtatman_500k |
function __init__ __self__ assessment_count=none extended_details=none group_count=none
begin
if assessment_count is not none
begin
set __self__ string assessment_count assessment_count
end
if extended_details is not none
begin
set __self__ string extended_details extended_details
end
if group_count is not none
begin
s... | def __init__(__self__, *,
assessment_count: Optional[pulumi.Input[int]] = None,
extended_details: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
group_count: Optional[pulumi.Input[int]] = None):
if assessment_count is not None:
pulu... | Python | nomic_cornstack_python_v1 |
function exists self connection=none
begin
if connection is none
begin
set connection = connection
end
set database = call lookup connection call database_name
return database is not none
end function | def exists(self, connection=None):
if connection is None:
connection = self.connection
database = Database.lookup(connection, self.database_name())
return database is not None | Python | nomic_cornstack_python_v1 |
function test_get_range_empty self
begin
set queryset = call Mock
set return_value = none
set dimension = call QuantitativeDimension key=string shares name=string Count of shares description=string Count of shares field_name=string shared_count
set tuple min_val max_val = call get_range queryset
assert is none min_val
... | def test_get_range_empty(self):
queryset = mock.Mock()
queryset.aggregate.return_value = None
dimension = models.QuantitativeDimension(
key='shares',
name='Count of shares',
description='Count of shares',
field_name='shared_count',
)
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import rospy
from ackermann_msgs.msg import AckermannDriveStamped
from sensor_msgs.msg import LaserScan
import std_msgs
import math
set PID_KP_LEFT = 0.9
set PID_KP_RIGHT = 1.3
set PID_KD = 0
class wall_follow
begin
function __init__ self
begin
call Subscriber string /scan LaserScan laser_c... | #!/usr/bin/env python
import rospy
from ackermann_msgs.msg import AckermannDriveStamped
from sensor_msgs.msg import LaserScan
import std_msgs
import math
PID_KP_LEFT = 0.9
PID_KP_RIGHT = 1.3
PID_KD = 0
class wall_follow:
def __init__(self):
rospy.Subscriber('/scan', LaserScan, self.laser_callback, queue_... | Python | zaydzuhri_stack_edu_python |
function runAskLeoIDDialog self
begin
set d = call swingAskLeoID
return run modal=true
end function | def runAskLeoIDDialog(self):
d = leoSwingDialog.swingAskLeoID()
return d.run(modal=True) | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize
function func x
begin
return x at 0 ^ 3 + x at 1 ^ 3 - 3 * x at 0 * x at 1
end function
function method_rosenbrock_step func=func learning_rate=0.1 * ones 2 max_iter=10000 x0=array list 8 9 alpha=3 beta=- 0.5 e0=call eye 2 dim=2
begin
set xi = lis... | import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize
def func(x):
return x[0]**3 + x[1]**3 - 3 * x[0] * x[1]
def method_rosenbrock_step(func=func,
learning_rate=0.1*np.ones(2),
max_iter=10000,
x0=np.array([8, 9... | Python | zaydzuhri_stack_edu_python |
function scope self
begin
return get pulumi self string scope
end function | def scope(self) -> pulumi.Output[str]:
return pulumi.get(self, "scope") | Python | nomic_cornstack_python_v1 |
function reconnect self
begin
comment This is the old connection IOLoop instance, stop its ioloop
call stop
if not _closing
begin
comment Create a new connection
set _connection = call connect
comment There is now a new connection, needs a new ioloop to run
start ioloop
end
end function | def reconnect(self):
# This is the old connection IOLoop instance, stop its ioloop
self._connection.ioloop.stop()
if not self._closing:
# Create a new connection
self._connection = self.connect()
# There is now a new connection, needs a new ioloop to run
... | Python | nomic_cornstack_python_v1 |
function mode_scan_worker host port
begin
set answer = string
comment id = "{}:{}".format(host, port)
comment print("thread for {} started".format(id))
call setdefaulttimeout 10
if call inet_aton string host
begin
try
begin
set tuple answer alias addr = call gethostbyaddr string host
end
comment print(answer)
except B... | def mode_scan_worker(host, port):
answer = ''
#id = "{}:{}".format(host, port)
#print("thread for {} started".format(id))
setdefaulttimeout(10)
if inet_aton(str(host)):
try:
(answer, alias, addr) = gethostbyaddr(str(host))
#print(answer)
except BaseException:
... | Python | nomic_cornstack_python_v1 |
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.button import Button
from kivy.uix.label import Label
from kivy.uix.gridlayout import GridLayout
from kivy.uix.textinput import TextInput
from kivy.config import Config
from kivy.graphics import Color ... | from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.button import Button
from kivy.uix.label import Label
from kivy.uix.gridlayout import GridLayout
from kivy.uix.textinput import TextInput
from kivy.config import Config
from kivy.graphics impor... | Python | zaydzuhri_stack_edu_python |
function exact_match_candidates self
begin
return list list PROTEIN_INSERTION list GENE PROTEIN_SUBSTITUTION PROTEIN_INSERTION list PROTEIN_INSERTION GENE list GENE PROTEIN_INSERTION list HGVS PROTEIN_INSERTION list REFERENCE_SEQUENCE PROTEIN_INSERTION list LOCUS_REFERENCE_GENOMIC PROTEIN_INSERTION
end function
comment... | def exact_match_candidates(self) -> List[List[TokenType]]:
return [
[TokenType.PROTEIN_INSERTION],
[TokenType.GENE, TokenType.PROTEIN_SUBSTITUTION, TokenType.PROTEIN_INSERTION], # noqa: E501
[TokenType.PROTEIN_INSERTION, TokenType.GENE],
[TokenType.GENE, TokenTyp... | Python | nomic_cornstack_python_v1 |
function GetNorm self
begin
return call itkVectorUS6_GetNorm self
end function | def GetNorm(self) -> "double":
return _itkVectorPython.itkVectorUS6_GetNorm(self) | Python | nomic_cornstack_python_v1 |
set nucleya = string Fuck That Shit!!!
print capitalize nucleya
print call swapcase
print length nucleya
print replace nucleya string Fuck string Coitus
print count nucleya string h
print starts with nucleya string Fuck
print ends with nucleya string zz
print split nucleya
print find nucleya string z
print index nucley... | nucleya = 'Fuck That Shit!!!'
print(nucleya.capitalize())
print(nucleya.swapcase())
print(len(nucleya))
print(nucleya.replace('Fuck', 'Coitus'))
print(nucleya.count('h'))
print(nucleya.startswith('Fuck'))
print(nucleya.endswith('zz'))
print(nucleya.split())
print(nucleya.find('z'))
print(nucleya.index('!'))
print(nucl... | Python | zaydzuhri_stack_edu_python |
comment https://dmoj.ca/problem/ccc98s1
set N = integer input
for i in range N
begin
set cuteee = split input string
for cuteeeeeeeeeee in cuteee
begin
if length cuteeeeeeeeeee == 4
begin
print string **** end=string
end
else
begin
print cuteeeeeeeeeee end=string
end
end
print
end | # https://dmoj.ca/problem/ccc98s1
N = int(input())
for i in range(N):
cuteee = input().split(' ')
for cuteeeeeeeeeee in cuteee:
if len(cuteeeeeeeeeee) == 4:
print('****', end=' ')
else:
print(cuteeeeeeeeeee, end=' ')
print()
| Python | zaydzuhri_stack_edu_python |
from django.db import models
from django.utils import timezone
import datetime
comment Create your models here.
class Question extends Model
begin
set question_text = call CharField max_length=200
set pub_date = call DateTimeField string datepublished
function __str__ self
begin
return string Question: { question_text ... | from django.db import models
from django.utils import timezone
import datetime
# Create your models here.
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('datepublished')
def __str__(self):
return f"Question: {self.question_text} Publ... | Python | zaydzuhri_stack_edu_python |
function get_search
begin
set holder = input string input somethin?:
set data = open string some.txt string r
comment save each line in data_list
set data_list = read lines data
close data
set found = false
end function | def get_search():
holder = input("input somethin?:")
data = open('some.txt', 'r')
data_list = data.readlines() # save each line in data_list
data.close()
found = False # | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
string Advent of Code 2015, Day 17, Part 1
function get_combination_count containers capacity
begin
string Calculate the number of container combinations that exactly total the required capacity. :param containers: list of container sizes to consider :param capacity: required capacity :return: numb... | # coding=utf-8
"""Advent of Code 2015, Day 17, Part 1"""
def get_combination_count(containers, capacity):
"""
Calculate the number of container combinations that exactly total the required capacity.
:param containers: list of container sizes to consider
:param capacity: required capacity
:return: ... | Python | zaydzuhri_stack_edu_python |
import sys
import cv2
import numpy as np
comment I reproduced a research paper about color harmonization in this python script.
comment Due to time limitation, not every detail is commented.
comment To understand the code: 1. please read this paper first:https://igl.ethz.ch/projects/color-harmonization/harmonization.pd... | import sys
import cv2
import numpy as np
# I reproduced a research paper about color harmonization in this python script.
# Due to time limitation, not every detail is commented.
# To understand the code: 1. please read this paper first:https://igl.ethz.ch/projects/color-harmonization/harmonization.pdf
# To understand ... | Python | zaydzuhri_stack_edu_python |
class Item
begin
function __init__ self weight value
begin
set weight = weight
set value = value
end function
end class | class Item:
def __init__(
self,
weight: float,
value: float
):
self.weight = weight
self.value = value | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import csv
import sys
import pandas as pd
import numpy as np
from requests_html import HTMLSession
set link = string http://www.smdg.org/smdg-code-lists/
set base = string http://www.smdg.org
set session = call HTMLSession
import logging
call basicConfig format=string %(asctime)s %(message)... | #!/usr/bin/env python
import csv
import sys
import pandas as pd
import numpy as np
from requests_html import HTMLSession
link = "http://www.smdg.org/smdg-code-lists/"
base = "http://www.smdg.org"
session = HTMLSession()
import logging
logging.basicConfig(format='%(asctime)s %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
import json
import logging
import unittest
import re
from datetime import datetime
import requests
comment Unittest tests order.
comment https://stackoverflow.com/questions/4095319/unittest-tests-order#comment120033036_22317851
set sortTestMethodsUsing = lambd... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import logging
import unittest
import re
from datetime import datetime
import requests
# Unittest tests order.
# https://stackoverflow.com/questions/4095319/unittest-tests-order#comment120033036_22317851
unittest.TestLoader.sortTestMethodsUsing = lambda *args... | Python | zaydzuhri_stack_edu_python |
function from_dict cls dikt
begin
return call deserialize_model dikt cls
end function | def from_dict(cls, dikt) -> 'CreateElection':
return util.deserialize_model(dikt, cls) | Python | nomic_cornstack_python_v1 |
function gen_output_file_path obj_kind obj_name template root_dir
begin
comment keep the directory structure from the templates dir,
comment relative to the template key
set common_path = join path root_dir obj_kind
set rel_path = call relpath template common_path
set file_path = join path obj_name rel_path
comment cre... | def gen_output_file_path(obj_kind, obj_name, template, root_dir):
# keep the directory structure from the templates dir,
# relative to the template key
common_path = os.path.join(root_dir, obj_kind)
rel_path = os.path.relpath(template, common_path)
file_path = os.path.join(obj_name, rel_path)
... | Python | nomic_cornstack_python_v1 |
function verif_valid_from_bag list_models X_val reality cut=0.5
begin
set bag_scores = list
for model in list_models
begin
set pred_score = call predict_proba X_val at tuple slice : : 1
append bag_scores call tolist
end
set bag_scores = transpose call DataFrame bag_scores
comment bag_scores = np.asmatrix(bag_scores... | def verif_valid_from_bag(list_models, X_val, reality, cut=0.5):
bag_scores = []
for model in list_models:
pred_score = model.predict_proba(X_val)[:,1]
bag_scores.append(pred_score.tolist())
bag_scores = pd.DataFrame(bag_scores).transpose()
#bag_scores = np.asmatrix(bag_scores)[:,0:5]
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import optparse , sys , os
import bleu
comment ../toy/train.cn
comment os.path.join("data", "test.en")
set optparser = call OptionParser
comment optparser.add_option("-r", "--reference", dest="reference", default="../toy/train.en", help="English reference sentences")
call add_option string ... | #!/usr/bin/env python
import optparse, sys, os
import bleu
# ../toy/train.cn
# os.path.join("data", "test.en")
optparser = optparse.OptionParser()
#optparser.add_option("-r", "--reference", dest="reference", default="../toy/train.en", help="English reference sentences")
optparser.add_option("-r", "--reference", dest="... | Python | zaydzuhri_stack_edu_python |
function get_diff list_a list_b
begin
set diff = list_a
for i in list_b
begin
if i in list_a
begin
remove diff i
end
end
return diff
end function | def get_diff(list_a, list_b):
diff = list_a
for i in list_b:
if i in list_a:
diff.remove(i)
return diff
| Python | flytech_python_25k |
function fib max
begin
set tuple f1 f2 = tuple 0 1
while f1 < max
begin
yield f1
set tuple f1 f2 = tuple f2 f1 + f2
end
end function
print sum filter lambda n -> n % 2 == 0 call fib 4000000 | def fib(max):
f1, f2 = 0, 1
while f1 < max:
yield f1
f1, f2 = f2, f1 + f2
print(sum(filter(lambda n: n % 2 == 0, fib(4000000))))
| Python | zaydzuhri_stack_edu_python |
import math
set x1 = integer input string Digite o número correspondente à coordenada x do primeiro ponto:
set y1 = integer input string Digite o número correspondente à coordenada y do primeiro ponto:
set x2 = integer input string Digite o número correspondente à coordenada x do segundo ponto:
set y2 = integer input s... | import math
x1 = int(input('Digite o número correspondente à coordenada x do primeiro ponto: '))
y1 = int(input('Digite o número correspondente à coordenada y do primeiro ponto: '))
x2 = int(input('Digite o número correspondente à coordenada x do segundo ponto: '))
y2 = int(input('Digite o número correspondente à coor... | Python | zaydzuhri_stack_edu_python |
from unittest import TestCase
from back.effects import EffectFactory , ActionFactory
class TestEffectFactory extends TestCase
begin
function setUp self
begin
set eff_fact = call EffectFactory
end function
function test_add_to_pool self
begin
call add_to_pool string explodes_01 10 130
call add_to_pool string explodes_04... | from unittest import TestCase
from back.effects import EffectFactory, ActionFactory
class TestEffectFactory(TestCase):
def setUp(self):
self.eff_fact = EffectFactory()
def test_add_to_pool(self):
self.eff_fact.add_to_pool('explodes_01', 10, 130)
self.eff_fact.add_to_pool('explodes_04... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
from machine_state import MachineState , MachineCommand
set _state_table = dict STOPPED dict START STARTED ; STARTED dict COLLECT COLLECTING ; STOP STOPPED ; COLLECTING dict PROCESS PROCESSING ; STOP STOPPED ; PROCESSING dict STOP STOPPED
function get_next_state current_state command
begin... | #!/usr/bin/env python3
from machine_state import MachineState, MachineCommand
_state_table = {
MachineState.STOPPED: { MachineCommand.START: MachineState.STARTED },
MachineState.STARTED: { MachineCommand.COLLECT: MachineState.COLLECTING, MachineCommand.STOP: MachineState.STOPPED },
MachineState.COLLECTING: { Machin... | Python | zaydzuhri_stack_edu_python |
function _to_datetime struct_time
begin
try
begin
return call fromtimestamp call mktime struct_time
end
except TypeError
begin
return none
end
end function | def _to_datetime(struct_time):
try:
return datetime.fromtimestamp(mktime(struct_time))
except TypeError:
return None | Python | nomic_cornstack_python_v1 |
function evaluate self category method *args
begin
assert is instance category integer_types and 0 <= category < __N msg string Invalid `category' %s/%s % tuple category type category
return evaluate __readers at category method *args
end function | def evaluate ( self , category , method , *args ) :
assert isinstance ( category , integer_types ) and 0 <= category < self.__N, \
"Invalid `category' %s/%s" % ( category , type ( category ) )
return self.__readers[ category ].evaluate ( method , *args ) | Python | nomic_cornstack_python_v1 |
function test_student_answer_feedback_is_presented_8304 self
begin
set test_updates at string name = string t1.55.008 + co_name at slice 4 : :
set test_updates at string tags = list string t1 string t1.55 string t1.55.008 string 8304
set test_updates at string passed = false
comment Test steps and verification assert... | def test_student_answer_feedback_is_presented_8304(self):
self.ps.test_updates['name'] = 't1.55.008' \
+ inspect.currentframe().f_code.co_name[4:]
self.ps.test_updates['tags'] = ['t1', 't1.55', 't1.55.008', '8304']
self.ps.test_updates['passed'] = False
# Test steps and veri... | Python | nomic_cornstack_python_v1 |
string Simple script used to download the previous years masters data Can be adapted to different months data easily (I hope)
from urllib.request import urlretrieve
set file_names = list
for i in range 50
begin
append file_names call zfill 12
end
print string Requesting the following files:
print file_names
for file_n... | """
Simple script used to download the previous years masters data
Can be adapted to different months data easily (I hope)
"""
from urllib.request import urlretrieve
file_names = []
for i in range(50):
file_names.append(str(i).zfill(12))
print("Requesting the following files: ")
print(file_names)
for file_name... | Python | zaydzuhri_stack_edu_python |
function _maybe_pubsub_notify_now result_summary request
begin
assert not call in_transaction
assert is instance result_summary TaskResultSummary msg result_summary
assert is instance request TaskRequest msg request
if state in STATES_NOT_RUNNING and pubsub_topic
begin
set task_id = call pack_result_summary_key key
try... | def _maybe_pubsub_notify_now(result_summary, request):
assert not ndb.in_transaction()
assert isinstance(
result_summary, task_result.TaskResultSummary), result_summary
assert isinstance(request, task_request.TaskRequest), request
if (result_summary.state in task_result.State.STATES_NOT_RUNNING and
... | Python | nomic_cornstack_python_v1 |
function zplot area=0.95 two_tailed=true align_right=false
begin
comment create plot object
set fig = figure figsize=tuple 12 6
set ax = call subplots
comment create normal distribution
set norm = norm
comment create data points to plot
set x = linear space - 5 5 1000
set y = call pdf x
plot x y
comment code to fill ar... | def zplot(area=0.95, two_tailed=True, align_right=False):
# create plot object
fig = plt.figure(figsize=(12, 6))
ax = fig.subplots()
# create normal distribution
norm = scs.norm()
# create data points to plot
x = np.linspace(-5, 5, 1000)
y = norm.pdf(x)
ax.plot(x, y)
# code to ... | Python | nomic_cornstack_python_v1 |
function evaluate_random_function f x y
begin
if f at 0 == string x
begin
return call X x y
end
else
if f at 0 == string y
begin
return call Y x y
end
else
if f at 0 == string sin_pi
begin
return call sin_pi call evaluate_random_function f at 1 x y
end
else
if f at 0 == string cos_pi
begin
return call cos_pi call evalu... | def evaluate_random_function(f, x, y):
if (f[0]=='x'):
return X(x,y)
elif (f[0]=='y'):
return Y(x,y)
elif (f[0]=='sin_pi'):
return sin_pi(evaluate_random_function(f[1],x,y))
elif (f[0]=='cos_pi'):
return cos_pi(evaluate_random_function(f[1],x,y))
elif (f[0]=='times'):... | Python | nomic_cornstack_python_v1 |
function SearchGroup self pattern filter=string none
begin
return call SearchGroup filter pattern
end function | def SearchGroup(self, pattern, filter="none"):
return self.get_iface().SearchGroup(filter, pattern) | Python | nomic_cornstack_python_v1 |
function max_results self max_results
begin
set _max_results = max_results
end function | def max_results(self, max_results):
self._max_results = max_results | Python | nomic_cornstack_python_v1 |
function analyze_weekly feature_matrix config data_path
begin
if config at string model_name == string XGBoost
begin
print string XGBoost is used
end
else
if config at string model_name == string RandomForestClassifier
begin
print string RandomForestClassifier is used
end
if config at string late_fusion_flag
begin
prin... | def analyze_weekly(feature_matrix, config, data_path):
if config['model_name'] == 'XGBoost':
print("XGBoost is used")
elif config['model_name'] == 'RandomForestClassifier':
print("RandomForestClassifier is used")
if config['late_fusion_flag']:
print("Late fusion is used")
else:
... | Python | nomic_cornstack_python_v1 |
function compute_B_prob_using_part_prob data probs weight_column=string N_sig_sw event_id_column=string event_id signB_column=string signB sign_part_column=string signTrack normed_signs=false
begin
set tuple result_event_id data_ids = unique values return_inverse=true
set log_probs = log probs - log 1 - probs
set sign_... | def compute_B_prob_using_part_prob(data, probs, weight_column='N_sig_sw', event_id_column='event_id', signB_column='signB',
sign_part_column='signTrack', normed_signs=False):
result_event_id, data_ids = numpy.unique(data[event_id_column].values, return_inverse=True)
log_probs ... | Python | nomic_cornstack_python_v1 |
string Play with Sequences and Subsequence Problem statement Rick is Professor at Zing University. He teaches Maths there. One day he was teaching Sequence, suddenly he came up on a problem, which was taking alot of time.Cody being a Coder, decided to solve the problem using code, so he just put his mobile out , opened... | '''
Play with Sequences and Subsequence
Problem statement
Rick is Professor at Zing University. He teaches Maths there. One day he was teaching Sequence, suddenly he came up on a problem, which was taking alot of time.Cody being a Coder, decided to solve the problem using code, so he just put his mobile out , opened th... | Python | zaydzuhri_stack_edu_python |
function process_inventory self ctx
begin
if not call load_data string cli_show_inventory
begin
return
end
set inventory_output = call load_data string cli_show_inventory at 0
set inventory_data = call parse_inventory_output inventory_output
set chassis_indices = list
for idx in call xrange 0 length inventory_data
beg... | def process_inventory(self, ctx):
if not ctx.load_data('cli_show_inventory'):
return
inventory_output = ctx.load_data('cli_show_inventory')[0]
inventory_data = self.parse_inventory_output(inventory_output)
chassis_indices = []
for idx in xrange(0, len(inventory_dat... | Python | nomic_cornstack_python_v1 |
function string_in_operation_output sensitive_or_insensitive value environment
begin
set case_sensitive = sensitive_or_insensitive == string sensitive
call check_value_in_operation_output value environment case_sensitive
end function | def string_in_operation_output(sensitive_or_insensitive, value, environment):
case_sensitive = sensitive_or_insensitive == 'sensitive'
check_value_in_operation_output(value, environment, case_sensitive) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: UTF-8 -*-
string date: 2018/02/09 10:51:21 下午 CST @author :kkwang
import pandas as pd
from collections import Counter
import matplotlib.pyplot as plt
import os
import numpy as np
import seaborn as sns
set filepath = string /Users/kkwang/mywork/gene_array_matrix_csv
clas... | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
date: 2018/02/09 10:51:21 下午 CST
@author :kkwang
"""
import pandas as pd
from collections import Counter
import matplotlib.pyplot as plt
import os
import numpy as np
import seaborn as sns
filepath='/Users/kkwang/mywork/gene_array_matrix_csv'
class brainspanwork(obje... | Python | zaydzuhri_stack_edu_python |
function check_high_score self
begin
if score > high_score
begin
set high_score = score
call prep_high_score
with open saved_data_filename as f
begin
set data_to_be_saved = load json f
set data_to_be_saved at string high_score = score
end
with open saved_data_filename string w as f
begin
dump data_to_be_saved f
end
end... | def check_high_score(self):
if self.stats.score > self.stats.high_score:
self.stats.high_score = self.stats.score
self.prep_high_score()
with open(self.stats.saved_data_filename) as f:
data_to_be_saved = json.load(f)
data_to_be_saved["high_scor... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
comment MyDailyLog
comment Author: Alvin D. Morris
comment email: alvin.morris@gmail.com
comment Command line utility for keeping track of daily productivity.
import os
import datetime
class MyDailyLog
begin
function __init__ self
begin
set MDLFolder = call getenv string HOME + string /Dropbox/... | #!/usr/bin/python
#################################################################
# MyDailyLog
# Author: Alvin D. Morris
# email: alvin.morris@gmail.com
#
# Command line utility for keeping track of daily productivity.
#################################################################
import os
import datetime
clas... | Python | zaydzuhri_stack_edu_python |
function calculate_triangle_perimeter side1 side2 side3
begin
comment Check if side lengths are valid
if side1 <= 0 or side2 <= 0 or side3 <= 0
begin
return - 1
end
if side1 + side2 <= side3 or side2 + side3 <= side1 or side1 + side3 <= side2
begin
return - 1
end
comment Calculate perimeter
set perimeter = side1 + side... | def calculate_triangle_perimeter(side1, side2, side3):
# Check if side lengths are valid
if side1 <= 0 or side2 <= 0 or side3 <= 0:
return -1
if (side1 + side2) <= side3 or (side2 + side3) <= side1 or (side1 + side3) <= side2:
return -1
# Calculate perimeter
perimeter = side1 + side... | Python | jtatman_500k |
function add_todo_input self
begin
set stats = call get_stats
set color_map = color_map
set contexts = sorted list keys get stats PROPERTY_CONTEXTS dict
set projects = sorted list keys get stats PROPERTY_PROJECTS dict
set attributes = sorted list keys get stats PROPERTY_ATTRIBUTES dict
set col = dict string prj get col... | def add_todo_input(self):
stats=self.get_stats()
color_map=self.config.color_map
contexts=sorted(list(stats.get(Todo.PROPERTY_CONTEXTS,{}).keys()))
projects=sorted(list(stats.get(Todo.PROPERTY_PROJECTS,{}).keys()))
attributes=sorted(list(stats.get(Todo.PROPERTY_ATTRIBUTES,{}).key... | Python | nomic_cornstack_python_v1 |
function ignored_columns self
begin
return get _parms string ignored_columns
end function | def ignored_columns(self):
return self._parms.get("ignored_columns") | Python | nomic_cornstack_python_v1 |
comment minMove.py
comment 5251. [파이썬 S/W 문제해결 구현] 7일차 - 최소 이동 거리
comment 방향 그래프: 방향이 잘못됐음, 출발지랑 도착지로 해야 함
string A도시에는 E개의 일방통행 도로 구간이 있으며, 각 구간이 만나는 연결지점에는 0부터 N번까지의 번호가 붙어있다. 구간의 시작과 끝의 연결 지점 번호, 구간의 길이가 주어질 때, 0번 지점에서 N번 지점까지 이동하는데 걸리는 최소한의 거리가 얼마인지 출력하는 프로그램을 만드시오. 모든 연결 지점을 거쳐가야 하는 것은 아니다. 그림은 입력인 N=2, E=3, 시작과 끝... | # minMove.py
# 5251. [파이썬 S/W 문제해결 구현] 7일차 - 최소 이동 거리
# 방향 그래프: 방향이 잘못됐음, 출발지랑 도착지로 해야 함
'''
A도시에는 E개의 일방통행 도로 구간이 있으며, 각 구간이 만나는 연결지점에는 0부터 N번까지의 번호가 붙어있다.
구간의 시작과 끝의 연결 지점 번호, 구간의 길이가 주어질 때, 0번 지점에서 N번 지점까지 이동하는데 걸리는 최소한의 거리가 얼마인지 출력하는 프로그램을 만드시오.
모든 연결 지점을 거쳐가야 하는 것은 아니다.
그림은 입력인 N=2, E=3, 시작과 끝 지점, 구간 거리가 아래와... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
comment Load the data
set data = read csv string movie_reviews.csv
comment Extract the reviews and the labels
set reviews = call tolist
set labels = call tolist
comment Transform the reviews to ... | import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
# Load the data
data = pd.read_csv('movie_reviews.csv')
# Extract the reviews and the labels
reviews = data.text.tolist()
labels = data.label.tolist()
# Transform the reviews to a numerical ... | Python | jtatman_500k |
set x = 3 + 2
set y = 5 - 7
print string I will now count my chickens:
print string Hens 30
print string Roosters 97
print string Now I will count the eggs:
print 7
print string It is true that, 3 + 2 < 5 -7?
print 3 + 2 < 5 - 7
print string What is 3 + 2? + string x
print string What is 5 - 7? + string y
print string ... | x = 3 + 2
y = 5 - 7
print("I will now count my chickens:")
print("Hens 30")
print("Roosters 97")
print("Now I will count the eggs:")
print(7)
print("It is true that, 3 + 2 < 5 -7?")
print(3 + 2 < 5 - 7)
print("What is 3 + 2? " + str(x))
print("What is 5 - 7? " + str(y))
print("Oh, that's why it's False")
print("How ab... | Python | zaydzuhri_stack_edu_python |
import torch
from torch import Tensor
function feature_align raw_feature P ns_t ori_size device=none
begin
string Perform feature align from the raw feature map. :param raw_feature: raw feature map :param P: point set containing point coordinates :param ns_t: number of exact points in the point set :param ori_size: siz... | import torch
from torch import Tensor
def feature_align(raw_feature: Tensor, P: Tensor, ns_t: Tensor, ori_size: tuple, device=None):
"""
Perform feature align from the raw feature map.
:param raw_feature: raw feature map
:param P: point set containing point coordinates
:param ns_t: number... | Python | zaydzuhri_stack_edu_python |
import sys
import numpy
set INFINITY = maxint
function print_neatly words M
begin
string >>> print_neatly(["Dhawal", "loves", "to", "code"],10) (72, 'Dhawal\nloves to\ncode') >>> print_neatly(["Dhawal", "loves", "cricket", "and", "football"],15) (91, 'Dhawal loves\ncricket and\nfootball')
set word_length = length words... | import sys
import numpy
INFINITY = sys.maxint
def print_neatly(words, M):
"""
>>> print_neatly(["Dhawal", "loves", "to", "code"],10)
(72, 'Dhawal\\nloves to\\ncode')
>>> print_neatly(["Dhawal", "loves", "cricket", "and", "football"],15)
(91, 'Dhawal loves\\ncricket and\\nfootball')
"""
wo... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
string This script is written to normalize the mutation description. Author: chenyanpeng@dnastories Date : 2020-05-08
import re
import sys
import json
import argparse
function parse_args argv
begin
set parser = call ArgumentParser description=__doc__ formatter_class=RawDescriptionHelpForma... | #!/usr/bin/env python3
'''
This script is written to normalize the mutation description.
Author: chenyanpeng@dnastories
Date : 2020-05-08
'''
import re
import sys
import json
import argparse
def parse_args(argv):
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argp... | Python | zaydzuhri_stack_edu_python |
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