code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment -*- coding: utf-8 -*-
import sys
import csv
from log import setup_logger
from db import GyazaiDB
from paths import DirPaths , DataFilePaths
from normalizer import EngTextNormalizer
function main
begin
set logger = call setup_logger string normalize_card_text.log
try
begin
info string Start normalizing card text... | # -*- coding: utf-8 -*-
import sys
import csv
from log import setup_logger
from db import GyazaiDB
from paths import DirPaths, DataFilePaths
from normalizer import EngTextNormalizer
def main():
logger = setup_logger('normalize_card_text.log')
try:
logger.info('Start normalizing card text')
#... | Python | zaydzuhri_stack_edu_python |
function GetWCSSys self *args
begin
return call send dict string cmd string GetWCSSys ; string args args
end function | def GetWCSSys(self, *args):
return self.send({"cmd": "GetWCSSys", "args": args}) | Python | nomic_cornstack_python_v1 |
import requests
from urllib.parse import urlencode
from requests.exceptions import RequestException
import json
from bs4 import BeautifulSoup
import re
import os
from hashlib import md5
from json.decoder import JSONDecodeError
from config import *
from multiprocessing import Pool
function get_page_index offset keyword
... | import requests
from urllib.parse import urlencode
from requests.exceptions import RequestException
import json
from bs4 import BeautifulSoup
import re
import os
from hashlib import md5
from json.decoder import JSONDecodeError
from config import *
from multiprocessing import Pool
def get_page_index(offset, keyword):
... | Python | zaydzuhri_stack_edu_python |
import RPi.GPIO as GPIO
import time
import datetime
import os
call setmode BOARD
set PIR = 26
setup GPIO PIR IN
set first_turned_off = false | import RPi.GPIO as GPIO
import time
import datetime
import os
GPIO.setmode(GPIO.BOARD)
PIR = 26
GPIO.setup(PIR, GPIO.IN)
first_turned_off = False
| Python | zaydzuhri_stack_edu_python |
function reset
begin
global _categories _get_funds _df
set _categories = none
set _get_funds = _all_funds
set _df = _orig_df
end function | def reset():
global _categories, _get_funds, _df
_categories = None
_get_funds = _all_funds
_df = _orig_df | Python | nomic_cornstack_python_v1 |
import constants
import pandas as pd
import numpy as np
from sklearn import preprocessing
function add_dummy_indicator data_frame indicator
begin
comment item_list = data_frame[indicator].unique()
comment print(item_list)
for item in nominal_feature_mapping at indicator at slice 0 : - 1 :
begin
set dummy_ind_name = st... | import constants
import pandas as pd
import numpy as np
from sklearn import preprocessing
def add_dummy_indicator(data_frame, indicator):
# item_list = data_frame[indicator].unique()
# print(item_list)
for item in constants.nominal_feature_mapping[indicator][0:-1]:
dummy_ind_name = str(indicator) ... | Python | zaydzuhri_stack_edu_python |
comment exercise 6.1.2
from loadingdata import *
from matplotlib.pyplot import figure , plot , xlabel , ylabel , legend , show , boxplot
from scipy.io import loadmat
from sklearn import model_selection , tree
import numpy as np
comment Load Matlab data file and extract variables of interest
set mu = mean np X 0
set sig... | # exercise 6.1.2
from loadingdata import *
from matplotlib.pyplot import figure, plot, xlabel, ylabel, legend, show, boxplot
from scipy.io import loadmat
from sklearn import model_selection, tree
import numpy as np
# Load Matlab data file and extract variables of interest
mu = np.mean(X, 0)
sigma = np.std... | Python | zaydzuhri_stack_edu_python |
comment from data_structures_and_algorithms.challenges.array_shift import insertShiftArray
from data_structures_and_algorithms.challenges.array_shift.array_shift import insertShiftArray
function test_type_of_list
begin
set actual = call insertShiftArray 5 4
set expected = string Invalid Input
assert actual == expected
... | # from data_structures_and_algorithms.challenges.array_shift import insertShiftArray
from data_structures_and_algorithms.challenges.array_shift.array_shift import insertShiftArray
def test_type_of_list():
actual= insertShiftArray(5,4)
expected= 'Invalid Input'
assert actual==expected
def test_type_of_n... | Python | zaydzuhri_stack_edu_python |
import sys , os
append path directory name path directory name path real path path __file__
import requests
from util.blind_signatures import validate_signature , modulo_multiplicative_inverse
import pprint
import uuid
import datetime
import json
from Crypto.Cipher import AES
from Crypto import Random
import hashlib
fr... | import sys, os
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import requests
from util.blind_signatures import validate_signature, modulo_multiplicative_inverse
import pprint
import uuid
import datetime
import json
from Crypto.Cipher import AES
from Crypto import Random
import hashlib
f... | Python | zaydzuhri_stack_edu_python |
function getweigths
begin
set ls = list
for i_lay in range 1 length layers
begin
append ls layers at i_lay at string weigths
end
return ls
end function | def getweigths():
ls = []
for i_lay in range(1, len(layers)):
ls.append(layers[i_lay]["weigths"])
return ls | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
from numpy import *
import random
import math
string class Document(object): def __init__(self,polarity,words): self.polarity=polarity self.words=words
comment 读文件
function readFromFile path polarity
begin
set input = open path string rb
set docs = list
set labelClass = list
set alllines... | #-*- coding: utf-8 -*-
from numpy import *
import random
import math
'''
class Document(object):
def __init__(self,polarity,words):
self.polarity=polarity
self.words=words
'''
#读文件
def readFromFile(path,polarity):
input=open(path,'rb')
docs=[]
labelClass=[]
alllines=input.readlines()
for line in alllines... | Python | zaydzuhri_stack_edu_python |
from piece import Piece
from game_rules import can_move
import os
class Rook extends Piece
begin
function __init__ self color name
begin
set sprite_dir = color + string Rook.png
set name = name
call __init__ color name
end function
function get_possible_moves self coord matrix
begin
set list_aux = call can_move color m... | from .piece import Piece
from game_rules import can_move
import os
class Rook(Piece):
def __init__(self, color, name):
self.sprite_dir = color + "Rook.png"
self.name = name
super(Rook,self).__init__(color,name)
def get_possible_moves(self, coord, matrix):
list_aux = ca... | Python | zaydzuhri_stack_edu_python |
string We are given a list nums of integers representing a list compressed with run-length encoding. Consider each adjacent pair of elements [freq, val] = [nums[2*i], nums[2*i+1]] (with i >= 0). For each such pair, there are freq elements with value val concatenated in a sublist. Concatenate all the sublists from left ... | """
We are given a list nums of integers representing a list compressed
with run-length encoding.
Consider each adjacent pair of elements [freq, val] = [nums[2*i],
nums[2*i+1]] (with i >= 0).
For each such pair, there are freq elements with value val concatenated
in a sublist. Concatenate all the sublists from lef... | Python | zaydzuhri_stack_edu_python |
import pygame , sys , random , time
from pygame.locals import *
set win = tuple 800 600
set black = tuple 0 0 0
set red = tuple 255 0 0
set green = tuple 0 255 0
set cyan = tuple 0 255 255
set purple = tuple 150 0 150
set yellow = tuple 255 255 0
set p_pos = list 370 500
set e_pos = list random integer 0 740 0
set enem... | import pygame, sys, random, time
from pygame.locals import *
win = (800, 600)
black = (0, 0, 0)
red = (255, 0, 0)
green = (0, 255, 0)
cyan = (0, 255, 255)
purple = (150, 0, 150)
yellow = (255, 255, 0)
p_pos = [370, 500]
e_pos =[random.randint(0, 740), 0]
enemy_l = [e_pos]
speed = 10
speed_e = 5
fps = 60
game_over = Fal... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import sqlite3 as sql
from matplotlib import pyplot as plt
from sklearn.svm import SVR
from fetch_data import fetch_data as fd
from random_dark_colors import random_dark_colors as rdc
set kernel = input string Which kernel to use, polynomial or linear ([p]/l)?
if length kernel > 0 and kernel at 0 == ... | import numpy as np
import sqlite3 as sql
from matplotlib import pyplot as plt
from sklearn.svm import SVR
from fetch_data import fetch_data as fd
from random_dark_colors import random_dark_colors as rdc
kernel = input('Which kernel to use, polynomial or linear ([p]/l)? ')
if len(kernel)>0 and kernel[0]=='l':
ke... | Python | zaydzuhri_stack_edu_python |
comment We define the possible winning combination of the game
set WINNING_COMBINATION = dict string rock string scissors ; string paper string rock ; string scissors string paper
function playRockPaperScissors
begin
comment Player 1's turn
set player1_choice = input string Player 1: Choose rock, paper or scissors:
com... | # We define the possible winning combination of the game
WINNING_COMBINATION = {
"rock": "scissors",
"paper": "rock",
"scissors": "paper"
}
def playRockPaperScissors():
# Player 1's turn
player1_choice = input("Player 1: Choose rock, paper or scissors: ")
# Player 2's turn
player2_choice = input("Player ... | Python | iamtarun_python_18k_alpaca |
function egglayingModel1 t stateVar params
begin
set num_strains = length stateVar / 3
set diffs = list
for i in range 0 num_strains
begin
set dE = value * stateVar at 1 + 3 * i * stateVar at 3 * i
set dS = - dE
set dO = value - value * stateVar at 1 + 3 * i - dE
append diffs list dS dO dE
end
end function | def egglayingModel1(t,stateVar,params):
num_strains = len(stateVar) / 3
diffs = []
for i in range(0,num_strains) :
dE = params['kf'].value*stateVar[1+3*i]*stateVar[3*i]
dS = -dE
dO = params['ko'].value - params['kc'].value*stateVar[1+3*i] - dE
... | Python | nomic_cornstack_python_v1 |
function delete_min self
begin
if _length == 0
begin
return none
end
set min = _heap at 0
set tuple _heap at 0 _heap at _length - 1 = tuple _heap at _length - 1 _heap at 0
set _length = _length - 1
call _move_down 0
return min
end function | def delete_min(self):
if self._length == 0:
return None
min = self._heap[0]
self._heap[0], self._heap[self._length - 1] = self._heap[self._length - 1], self._heap[0]
self._length -= 1
self._move_down(0)
return min | Python | nomic_cornstack_python_v1 |
import unittest
from domain.course import Course
from errors import CourseError
from repository.course_repository import CourseRepository
from service.course_controller import CourseController
class TestCourseController extends TestCase
begin
function setUp self
begin
set courses = call CourseRepository
set course1 = c... | import unittest
from domain.course import Course
from errors import CourseError
from repository.course_repository import CourseRepository
from service.course_controller import CourseController
class TestCourseController(unittest.TestCase):
def setUp(self):
courses = CourseRepository()
self.course... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from calculation_cost import *
function stocashtic_gradient_descent X y theta learning_rate=0.01 iterations=10
begin
string X = matrix of X with added bias unit y = Vector of y theta = vector of theta np.random.randn(j,1) learning_rate iterations = no of iterations Returns the final theta vector and ... | import numpy as np
from calculation_cost import *
def stocashtic_gradient_descent(X,y,theta,learning_rate=0.01,iterations=10):
'''
X = matrix of X with added bias unit
y = Vector of y
theta = vector of theta np.random.randn(j,1)
learning_rate
iterations = no of iterations
Returns the final theta vector and... | Python | zaydzuhri_stack_edu_python |
function insertion_sort arr compare
begin
set comparisons = 0
for i in range 1 length arr
begin
set key = arr at i
set j = i - 1
while j >= 0 and call compare arr at j key
begin
set comparisons = comparisons + 1
set arr at j + 1 = arr at j
set j = j - 1
end
set arr at j + 1 = key
end
return comparisons
end function
fun... | def insertion_sort(arr, compare):
comparisons = 0
for i in range(1, len(arr)):
key = arr[i]
j = i - 1
while j >= 0 and compare(arr[j], key):
comparisons += 1
arr[j + 1] = arr[j]
j -= 1
arr[j + 1] = key
return comparisons
def descending_com... | Python | jtatman_500k |
function classImplementsFirst cls iface
begin
set spec = call implementedBy cls
call _classImplements_ordered spec tuple iface tuple
end function | def classImplementsFirst(cls, iface):
spec = implementedBy(cls)
_classImplements_ordered(spec, (iface,), ()) | Python | nomic_cornstack_python_v1 |
from flask_restful import Resource , reqparse
from flask_jwt import JWT , jwt_required
from models.item import ItemModel
from models.brand import BrandModel
comment Api works with resources, which are classes that inherits from Resource
comment In this case Item is the resource.
class Item extends Resource
begin
decora... | from flask_restful import Resource, reqparse
from flask_jwt import JWT, jwt_required
from models.item import ItemModel
from models.brand import BrandModel
# Api works with resources, which are classes that inherits from Resource
# In this case Item is the resource.
class Item(Resource):
# decorator, means we have... | Python | zaydzuhri_stack_edu_python |
function test_unique_constraint_with_unset_caseversion self
begin
set new = call CaseStep
with assert raises ValidationError
begin
call full_clean
end
end function | def test_unique_constraint_with_unset_caseversion(self):
new = self.model.CaseStep()
with self.assertRaises(ValidationError):
new.full_clean() | Python | nomic_cornstack_python_v1 |
set Ratio = eval input string What is the ratio of the solution?
set RP = Ratio * 100
set Volume = integer input string What is the current volume?
set Percent = decimal input string What is the current percent?
set Solution = Volume * Percent / RP
print Solution | Ratio =eval(input("What is the ratio of the solution?"))
RP= (Ratio*100)
Volume=int(input("What is the current volume?"))
Percent=float(input("What is the current percent?"))
Solution=(Volume*Percent)/(RP)
print (Solution) | Python | zaydzuhri_stack_edu_python |
function extract_songs self
begin
set original_url = url
try
begin
set url = call _get_ytmusic_url original_url
call _create_mix
end
except DownloadError
begin
set url = original_url
call _extract_fallback
end
end function | def extract_songs(self):
original_url = self.url
try:
self.url = self._get_ytmusic_url(original_url)
self._create_mix()
except DownloadError:
self.url = original_url
self._extract_fallback() | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
import re
import sys
if __name__ == string __main__
begin
set expr = compile string .*(\W|[0-9])\S.*
with open string consigna3 as f
begin
while r := read line f
begin
set found = match r
if not found
begin
continue
end
print call group
end
end
end | #!/usr/bin/env python3
import re
import sys
if __name__ == "__main__":
expr = re.compile(".*(\W|[0-9])\S.*")
with open("consigna3") as f:
while r := f.readline():
found = expr.match(r)
if not found:
continue
print(found.group())
| Python | zaydzuhri_stack_edu_python |
function dft x
begin
set N = length x
comment array for results
set X = zeros N dtype=complex
comment define exponent factor
set W = exp - 1j * 2 * pi / N
for k in range N
begin
set X at k = sum list comprehension x at n * W ^ k * n for n in range N
end
return X
end function | def dft(x):
N = len(x)
# array for results
X = np.zeros(N, dtype=complex)
# define exponent factor
W = np.exp(-1j * (2*np.pi / N))
for k in range(N):
X[k] = sum([x[n]*(W**(k*n)) for n in range(N)])
return X | Python | nomic_cornstack_python_v1 |
function main
begin
comment placing actual main action in a 'helper'script so can call that easily
comment with a distinguishing name in Jupyter notebooks, where `main()` may get
comment assigned multiple times depending how many scripts imported/pasted in.
set kwargs = dict
comment kwargs['return_df'] = False #probab... | def main():
# placing actual main action in a 'helper'script so can call that easily
# with a distinguishing name in Jupyter notebooks, where `main()` may get
# assigned multiple times depending how many scripts imported/pasted in.
kwargs = {}
#kwargs['return_df'] = False #probably don't want dataf... | Python | nomic_cornstack_python_v1 |
function test_sktime_save_model_raises_invalid_serialization_format auto_arima_model model_path
begin
with raises MlflowException match=string Unrecognized serialization format:
begin
call save_model sktime_model=auto_arima_model path=model_path serialization_format=string json
end
end function | def test_sktime_save_model_raises_invalid_serialization_format(auto_arima_model, model_path):
with pytest.raises(MlflowException, match="Unrecognized serialization format: "):
flavor.save_model(
sktime_model=auto_arima_model, path=model_path, serialization_format="json"
) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import re
function stringToBinary st
begin
return join string generator expression format ordinal x string b for x in st
end function
comment input: argument in string format with space inbetween
function binaryToString bn
begin
set bn = split bn string
set bn_ascii = list map lambda i -> ... | #!/usr/bin/env python
import re
def stringToBinary(st):
return ' '.join(format(ord(x), 'b') for x in st)
# input: argument in string format with space inbetween
def binaryToString(bn):
bn = bn.split(' ')
bn_ascii = list(map(lambda i: int(i, 2), bn))
text = ''.join(chr(i) for i in bn_ascii)
retu... | Python | zaydzuhri_stack_edu_python |
import warnings
from pandas import Series
import pandas as pd
from pandas import read_csv
from statsmodels.tsa.arima_model import ARIMA
from sklearn.metrics import mean_absolute_error
import matplotlib
from math import sqrt
set pr = list
function evaluate_arima_model X arima_order
begin
set X = as type X string float32... | import warnings
from pandas import Series
import pandas as pd
from pandas import read_csv
from statsmodels.tsa.arima_model import ARIMA
from sklearn.metrics import mean_absolute_error
import matplotlib
from math import sqrt
pr=list()
def evaluate_arima_model(X, arima_order):
X = X.astype('float32')
train_size = int(... | Python | zaydzuhri_stack_edu_python |
function test_index_view_with_no_questions self
begin
set response = get client reverse string polls:index
assert equal status_code 200
call assertContains response string No polls are available.
call assertQuerysetEqual context at string latest_questions_list list
end function | def test_index_view_with_no_questions(self):
response = self.client.get(reverse("polls:index"))
self.assertEqual(response.status_code, 200)
self.assertContains(response, "No polls are available.")
self.assertQuerysetEqual(response.context['latest_questions_list'], []) | Python | nomic_cornstack_python_v1 |
function __repr__ self
begin
return call to_str
end function | def __repr__(self):
return self.to_str() | Python | nomic_cornstack_python_v1 |
function join_tables database query
begin
set table_names = query at string from
if string * in table_names
begin
set table_names = list database
end
set result_table = database at table_names at 0
for table in table_names at slice 1 : :
begin
set other_table = database at table
set result_table = call cartesian_prod... | def join_tables(database, query):
table_names = query["from"]
if "*" in table_names:
table_names = list(database)
result_table = database[table_names[0]]
for table in table_names[1:]:
other_table = database[table]
result_table = cartesian_product(result_table... | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
class Train
begin
function __init__ self output=none ground_truth=none loss=string sparse_crossentropy optimizer=string Adam opt_params=list
begin
set output = output
set ground_truth = ground_truth
set loss = loss
set optimizer = optimizer
set opt_params = opt_params
set learning_rate = opt_par... | import tensorflow as tf
class Train():
def __init__(self, output=None,ground_truth=None,loss='sparse_crossentropy', optimizer='Adam', opt_params=[]):
self.output = output
self.ground_truth = ground_truth
self.loss = loss
self.optimizer = optimizer
self.opt_params = opt_para... | Python | zaydzuhri_stack_edu_python |
function search self word
begin
set node = root
for chars in word
begin
set node = get data chars
if not node
begin
return false
end
end
return is_word
end function | def search(self, word):
node = self.root
for chars in word:
node = node.data.get(chars)
if not node:
return False
return node.is_word | Python | nomic_cornstack_python_v1 |
function close_gripper self distance=0.0 force_threshold=none
begin
set gripper_goal = call GripperGoal
set grip_distance = distance
set force_threshold = if expression force_threshold is none then decimal string nan else force_threshold
call send_goal gripper_goal
end function | def close_gripper(self, distance=0.0, force_threshold=None):
gripper_goal = GripperGoal()
gripper_goal.grip_distance = distance
gripper_goal.force_threshold = float("nan") if force_threshold is None else force_threshold
self.gripper_action.send_goal(gripper_goal) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
comment coding=utf-8
comment 2013 Kyle Fitzsimmons
import time
import sys
import urllib
import csv
from BeautifulSoup import BeautifulSoup
from unidecode import unidecode
comment Custom file imports
import FuzzyString as fuzzy
from Browser import Browser
import TableParser
from MontrealAddressP... | #!/usr/bin/python
# coding=utf-8
# 2013 Kyle Fitzsimmons
import time
import sys
import urllib
import csv
from BeautifulSoup import BeautifulSoup
from unidecode import unidecode
# Custom file imports
import FuzzyString as fuzzy
from Browser import Browser
import TableParser
from MontrealAddressParser import AddressPars... | Python | zaydzuhri_stack_edu_python |
function _merge_pdfs output_path *args
begin
set merger = call PdfFileMerger
for path in args
begin
if path is not none
begin
append merger path
end
end
write merger output_path
end function | def _merge_pdfs(output_path, *args):
merger = PdfFileMerger()
for path in args:
if path is not None:
merger.append(path)
merger.write(output_path) | Python | nomic_cornstack_python_v1 |
comment Definition for singly-linked list.
comment class ListNode:
comment def __init__(self, val=0, next=None):
comment self.val = val
comment self.next = next
class Solution
begin
function sortList self head
begin
from queue import PriorityQueue
set ptr = head
set p_queue = call PriorityQueue
while ptr != none
begin
... | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def sortList(self, head: ListNode) -> ListNode:
from queue import PriorityQueue
ptr = head
p_queue = PriorityQueue()
... | Python | zaydzuhri_stack_edu_python |
async function unwhitelist self ctx guild_id
begin
if guild_id not in await call whitelist
begin
await call send string This server is not in the whitelist.
return
end
async_with call whitelist as w
begin
set index = index w guild_id
pop w index
end
await call tick
end function | async def unwhitelist(self, ctx: commands.Context, guild_id: int):
if guild_id not in await self.config.whitelist():
await ctx.send("This server is not in the whitelist.")
return
async with self.config.whitelist() as w:
index = w.index(guild_id)
w.pop(inde... | Python | nomic_cornstack_python_v1 |
class Solution extends object
begin
function fizzBuzz self n
begin
string :type n: int :rtype: List[str]
set finalArray = list
set number = 1
while number <= n
begin
if number % 3 == 0 and number % 5 == 0
begin
append finalArray string FizzBuzz
set number = number + 1
end
else
if number % 3 == 0
begin
append finalArra... | class Solution(object):
def fizzBuzz(self, n):
"""
:type n: int
:rtype: List[str]
"""
finalArray = []
number = 1
while number <= n:
if number % 3 == 0 and number % 5 == 0:
finalArray.append("FizzBuzz")
number+=1
... | Python | zaydzuhri_stack_edu_python |
function convert_single_example tokenizer example max_seq_length=256
begin
if is instance example PaddingInputExample
begin
set input_ids = list 0 * max_seq_length
set input_mask = list 0 * max_seq_length
set segment_ids = list 0 * max_seq_length
set label = 0
return tuple input_ids input_mask segment_ids label
end
set... | def convert_single_example(tokenizer, example, max_seq_length=256):
if isinstance(example, PaddingInputExample):
input_ids = [0] * max_seq_length
input_mask = [0] * max_seq_length
segment_ids = [0] * max_seq_length
label = 0
return input_ids, input_mask, segment_ids, label
... | Python | nomic_cornstack_python_v1 |
function email_additional_text self
begin
return get pulumi self string email_additional_text
end function | def email_additional_text(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "email_additional_text") | Python | nomic_cornstack_python_v1 |
function get_context self
begin
return string
end function | def get_context(self) -> str:
return "" | Python | nomic_cornstack_python_v1 |
function find_frames self ftype calib_ID=none index=false
begin
if string framebit not in keys self
begin
error string Frame types are not set. First run get_frame_types.
end
if ftype == string None
begin
return self at string framebit == 0
end
comment Select frames
set indx = call flagged self at string framebit ftype... | def find_frames(self, ftype, calib_ID=None, index=False):
if 'framebit' not in self.keys():
msgs.error('Frame types are not set. First run get_frame_types.')
if ftype == 'None':
return self['framebit'] == 0
# Select frames
indx = self.type_bitmask.flagged(self['f... | Python | nomic_cornstack_python_v1 |
function Hello full_name ID language email
begin
return format string Hello World, this is {} with HNGi7 ID {} using {} for stage 2 task {} full_name ID language email
end function
if __name__ == string __main__
begin
set full_name = string Paul Ogolla
set ID = string HNG-00150
set language = string Python
set email = ... | def Hello(full_name, ID, language, email):
return "Hello World, this is {} with HNGi7 ID {} using {} for stage 2 task {}".format(full_name, ID, language,email)
if __name__ == '__main__':
full_name = "Paul Ogolla"
ID = "HNG-00150"
language = "Python"
email = "paulotieno2@gmail.com"
print(Hello(f... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import librosa
import librosa.display
import os
from os.path import isdir , join , dirname
from pathlib import Path
import re
import hashlib
from tqdm import tqdm
comment ~134M
set MAX_NUM_WAVS_PER_CLASS = 2 ^ 27 - 1
function which_set filename validation_percentage testing_percentage
begin
string De... | import numpy as np
import librosa
import librosa.display
import os
from os.path import isdir, join, dirname
from pathlib import Path
import re
import hashlib
from tqdm import tqdm
MAX_NUM_WAVS_PER_CLASS = 2**27 - 1 # ~134M
def which_set(filename, validation_percentage, testing_percentage):
"""Determines which d... | Python | zaydzuhri_stack_edu_python |
function dataset_preprocessed self
begin
set df = read csv string data/houses_clean.csv
drop df string Unnamed: 0 axis=1 inplace=true
return df
end function | def dataset_preprocessed(self):
df = pd.read_csv("data/houses_clean.csv")
df.drop('Unnamed: 0',axis = 1,inplace = True)
return df | Python | nomic_cornstack_python_v1 |
function __init__ self next_ files=none
begin
call __init__ self next_
set params = dict
if files is none
begin
set file_from_cl = call get_value string config
if file_from_cl
begin
set files = tuple file_from_cl
end
else
begin
set files = tuple CONFIG_FILE_NAME string ~/ + CONFIG_FILE_NAME
end
end
for f in files
begi... | def __init__(self, next_, files=None):
ChainedConfig.__init__(self, next_)
self.params = {}
if files is None:
file_from_cl = CommandLineConfig.get_value("config")
if file_from_cl:
files = (file_from_cl,)
else:
files = (CONFIG_F... | Python | nomic_cornstack_python_v1 |
import sqlite3
import os
set GALLERY_DIR = string gallery
set db = call connect string storage.db
function init_db
begin
set cursor = call cursor
execute cursor string CREATE TABLE IF NOT EXISTS images ( id INTEGER PRIMARY KEY, reddit_id TEXT, title TEXT, width INTEGER, height INTEGER, file_size INTEGER, file_type TEXT... | import sqlite3
import os
GALLERY_DIR = 'gallery'
db = sqlite3.connect('storage.db')
def init_db():
cursor = db.cursor()
cursor.execute('''
CREATE TABLE IF NOT EXISTS
images (
id INTEGER PRIMARY KEY,
reddit_id TEXT,
title TEXT,
width INTEGER,
... | Python | zaydzuhri_stack_edu_python |
class ListNode extends object
begin
function __init__ self val=0 next=none
begin
set val = val
set next = next
end function
end class
class Solution
begin
function print_linkedlist self head
begin
while next != none
begin
set head = next
print val
end
end function
end class | class ListNode(object):
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def print_linkedlist(self, head):
while head.next != None:
head = head.next
print(head.val) | Python | iamtarun_python_18k_alpaca |
comment !/bin/python
from __future__ import print_function
function ppsd_event data
begin
if string 25 in data at string course
begin
set course = string S
end
else
begin
set course = string L
end
return format string ({0}) {event:17} course keyword data
end function
function ppsd_time row
begin
return format string {0... | #!/bin/python
from __future__ import print_function
def ppsd_event(data):
if '25' in data['course']:
course = 'S'
else:
course = 'L'
return "({0}) {event:17}".format(course, **data)
def ppsd_time(row):
return "{0}".format(row['time'].strftime("%M:%S.%f")[:-4])
def ppsd_date(row):
... | Python | zaydzuhri_stack_edu_python |
function _add_meta_dict_to_xml self doc parent meta_dict
begin
if not meta_dict
begin
return
end
set key_list = list keys meta_dict
sort key_list
for key in key_list
begin
set el_list = call _index_list_of_values meta_dict key
for el in el_list
begin
call _add_meta_value_to_xml_doc doc parent el
end
end
end function | def _add_meta_dict_to_xml(self, doc, parent, meta_dict):
if not meta_dict:
return
key_list = list(meta_dict.keys())
key_list.sort()
for key in key_list:
el_list = _index_list_of_values(meta_dict, key)
for el in el_list:
self._add_meta_v... | Python | nomic_cornstack_python_v1 |
function order_annulus_contour_points annulus_point_coordinates labels label_order
begin
set number_of_annulus_points = shape at 0
if label_order at 0 not in labels
begin
raise call ValueError format string First label ({0}) is not defined for contour. Defined labels: {1} label_order at 0 keys labels
end
set starting_p... | def order_annulus_contour_points(annulus_point_coordinates, labels, label_order):
number_of_annulus_points = annulus_point_coordinates.shape[0]
if label_order[0] not in labels:
raise ValueError(
"First label ({0}) is not defined for contour. Defined labels: {1}".format(label_order[0], la... | Python | nomic_cornstack_python_v1 |
function main
begin
set wn = call Screen
call bgpic string cool_background.gif
call make_a_tree - 250 - 127
call make_a_tree - 170 - 135
call make_a_tree - 200 - 140
call background_for_text - 30 50
call bgpic string forest_fire.gif
call some_text string STOP AMAZON DESTRUCTION! 80 50
call fires_and_flames - 170 - 50
c... | def main():
wn = turtle.Screen()
wn.bgpic("cool_background.gif")
make_a_tree(-250, -127)
make_a_tree(-170,-135)
make_a_tree(-200, -140)
background_for_text(-30, 50)
wn.bgpic("forest_fire.gif")
some_text("STOP AMAZON \n DESTRUCTION!", 80, 50)
fires_and_flames(-170, -50)
wn.exitonc... | Python | nomic_cornstack_python_v1 |
import re
set NAME = compile string .*\s(\w{1,2})$
set EXPR = compile string (NOT|AND|OR|RSHIFT|LSHIFT)
set data = dictionary comprehension call group 1 : i for i in read lines open string d07 string r
set data = dictionary comprehension call group 1 : i for i in read lines open string scrap string r
comment find wire ... | import re
NAME = re.compile(r'.*\s(\w{1,2})$')
EXPR = re.compile(r'(NOT|AND|OR|RSHIFT|LSHIFT)')
data = {NAME.match(i).group(1):i for i in open("d07", "r").readlines()}
data = {NAME.match(i).group(1):i for i in open("scrap", "r").readlines()}
# find wire 'a' and connect recursively backwards...
class node:
def __in... | Python | zaydzuhri_stack_edu_python |
function _update_custom_list_item builder_client guide_id custom_list_item changed_file
begin
comment Update the custom list item
if custom_list_item at string name != changed_file at string name
begin
set custom_list_item_patch_url = format string https://builder.guidebook.com/open-api/v1/custom-list-items/{}/ custom_... | def _update_custom_list_item(builder_client, guide_id, custom_list_item, changed_file):
# Update the custom list item
if custom_list_item['name'] != changed_file['name']:
custom_list_item_patch_url = "https://builder.guidebook.com/open-api/v1/custom-list-items/{}/".format(custom_list_item['id'])
... | Python | nomic_cornstack_python_v1 |
function topic_exercise tree
begin
set result = dict
for tuple topic_name topic in call iteritems
begin
set result at topic_name = list
for child in topic at string children
begin
if child at string kind == string Exercise
begin
append result at topic_name child at string name
end
end
end
return result
end function | def topic_exercise(tree):
result = {}
for topic_name, topic in find_exercise_topics(tree).iteritems():
result[topic_name] = []
for child in topic['children']:
if child['kind'] == 'Exercise':
result[topic_name].append(child['name'])
return result | Python | nomic_cornstack_python_v1 |
function test_mount_routes_with_middleware_url_path_for
begin
assert call url_path_for string route == string /http/
end function | def test_mount_routes_with_middleware_url_path_for() -> None:
assert mounted_routes_with_middleware.url_path_for("route") == "/http/" | Python | nomic_cornstack_python_v1 |
from Graph_Generator.single_school_generator import School
import EoN
import networkx as nx
import matplotlib.pyplot as plt
set total_students = 1000
set num_grades = 4
set num_teachers = 60
set num_of_students_within_grade = integer total_students / num_grades
comment [0.05,0.1,,0.2,0.4]
set p_c = 1
comment 5 # [5,10]... | from Graph_Generator.single_school_generator import School
import EoN
import networkx as nx
import matplotlib.pyplot as plt
total_students=1000
num_grades=4
num_teachers=60
num_of_students_within_grade=int(total_students/num_grades)
p_c=1 # [0.05,0.1,,0.2,0.4]
cg_scale=1 #5 # [5,10]
p_g=p_c*cg_scale
alpha=1
high_infec... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import socket
import getopt
import sys
import os
import time
function usage
begin
write stderr format string {0}: usage: {0} -i <inet ver> -a <addr> -p <port> base name path argv at 0
exit 1
end function
if __name__ == string __main__
begin
set i = none
set a = none
set p = none
set tuple a... | #!/usr/bin/env python
import socket
import getopt
import sys
import os
import time
def usage():
sys.stderr.write("{0}: usage: {0} -i <inet ver> -a <addr> -p <port>\n".format(os.path.basename(sys.argv[0])))
sys.exit(1)
if __name__ == "__main__":
i = None
a = None
p = None
args, rest = getopt... | Python | zaydzuhri_stack_edu_python |
function get_route_distance self route
begin
set distance = 0
for i in range length route - 1
begin
set distance = distance + distances at route at i at route at i + 1
end
return distance
end function | def get_route_distance(self, route):
distance = 0
for i in range(len(route)-1):
distance += self.delivery_data.distances[route[i]][route[i+1]]
return distance | Python | nomic_cornstack_python_v1 |
import numpy as np
import cv2
function rnd_warp a
begin
set tuple h w = shape at slice : 2 :
set T = zeros tuple 2 3
set coef = 0.2
set ang = call rand - 0.5 * coef
set tuple c s = tuple cos ang sin ang
set T at tuple slice : 2 : slice : 2 : = list list c - s list s c
set T at tuple slice : 2 : slice : 2 : = ... | import numpy as np
import cv2
def rnd_warp(a):
h, w = a.shape[:2]
T = np.zeros((2, 3))
coef = 0.2
ang = (np.random.rand() - 0.5) * coef
c, s = np.cos(ang), np.sin(ang)
T[:2, :2] = [[c, -s], [s, c]]
T[:2, :2] += (np.random.rand(2, 2) - 0.5) * coef
c = (w / 2, h / 2)
T[:, 2] = c - np... | Python | zaydzuhri_stack_edu_python |
import csv
from django.shortcuts import render
from django.http import HttpResponse
class CSVResponseMixin extends object
begin
set csv_filename = string csvfile.csv
function get_csv_filename self
begin
return csv_filename
end function
function render_to_csv self data
begin
set response = call HttpResponse content_type... | import csv
from django.shortcuts import render
from django.http import HttpResponse
class CSVResponseMixin(object):
csv_filename = 'csvfile.csv'
def get_csv_filename(self):
return self.csv_filename
def render_to_csv(self, data):
response = HttpResponse(content_type='text/csv')
cd... | Python | zaydzuhri_stack_edu_python |
function estraiIDautoriMulti pfPersone pfAuthorRAW pfAutoriID
begin
comment print 'pfPersone:{}\tpfAuthorRAW:{}\tpfAutoriID:{}'.format(pfPersone, pfAuthorRAW, pfAutoriID)
comment popolo il set
set sPersone = call creaSetAbbreviazioni pfPersone
comment print(sPersone)
comment print 'abbreviazioni {}'.format(len(sPersone... | def estraiIDautoriMulti(pfPersone, pfAuthorRAW, pfAutoriID):
# print 'pfPersone:{}\tpfAuthorRAW:{}\tpfAutoriID:{}'.format(pfPersone, pfAuthorRAW, pfAutoriID)
# popolo il set
sPersone = creaSetAbbreviazioni(pfPersone)
# print(sPersone)
# print 'abbreviazioni {}'.format(len(sPersone))
# cerco i nomi nel set
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding:utf-8 _*-
string @author: wangye(Wayne) @license: Apache Licence @file: Delete Characters to Make Fancy String.py @time: 2021/08/07 @contact: wang121ye@hotmail.com @site: @software: PyCharm # code is far away from bugs.
class Solution
begin
function makeFancyString self s... | #!/usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: wangye(Wayne)
@license: Apache Licence
@file: Delete Characters to Make Fancy String.py
@time: 2021/08/07
@contact: wang121ye@hotmail.com
@site:
@software: PyCharm
# code is far away from bugs.
"""
class Solution:
def makeFancyString(self, s: str... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import random
import copy
from collections import namedtuple , deque
from model import Actor , Critic
import torch
import torch.nn.functional as F
import torch.optim as optim
import sum_tree
comment replay buffer size
set BUFFER_SIZE = integer 2 ^ 16
comment minibatch size
set BATCH_SIZE = 256
commen... | import numpy as np
import random
import copy
from collections import namedtuple, deque
from model import Actor, Critic
import torch
import torch.nn.functional as F
import torch.optim as optim
import sum_tree
BUFFER_SIZE = int(2 ** 16) # replay buffer size
BATCH_SIZE = 256 # minibatch size
GAMMA = 0.99 ... | Python | zaydzuhri_stack_edu_python |
function create_text_rank self
begin
comment filtered_tokens = self.filter_pos() #if use, replace 2 self.lemma_tokens below
set vocab = call create_vocab lemma_tokens
set token_windows = call create_token_windows lemma_tokens
set graph = call create_matrix vocab token_windows
set text_rank = array list 1 * length vocab... | def create_text_rank(self):
# filtered_tokens = self.filter_pos() #if use, replace 2 self.lemma_tokens below
vocab = self.create_vocab(self.lemma_tokens)
token_windows = self.create_token_windows(self.lemma_tokens)
graph = self.create_matrix(vocab, token_windows)
text_rank = n... | Python | nomic_cornstack_python_v1 |
function drawImage self image x1 y1 x2=none y2=none **kwargs
begin
return
end function | def drawImage(self, image, x1,y1, x2=None,y2=None, **kwargs):
return | Python | nomic_cornstack_python_v1 |
function initAfterBeams self
begin
return call AlpgenHooks_initAfterBeams self
end function | def initAfterBeams(self):
return _pythia8.AlpgenHooks_initAfterBeams(self) | Python | nomic_cornstack_python_v1 |
function cluster_latent_space latent_representations_current_epoch labels_current_epoch result_path epoch
begin
set rcParams at string figure.figsize = tuple 6.4 * 2 4.8
comment convert lists to numpy array
set latent_representations_current_epoch = array latent_representations_current_epoch
set labels_current_epoch = ... | def cluster_latent_space(latent_representations_current_epoch, labels_current_epoch, result_path, epoch):
plt.rcParams["figure.figsize"] = (6.4*2, 4.8)
# convert lists to numpy array
latent_representations_current_epoch = np.array(latent_representations_current_epoch)
labels_current_epoch = np.array(l... | Python | nomic_cornstack_python_v1 |
import sys
function GenerateOutputFileName raw_file_name
begin
set splitted_name = split raw_file_name string .
return string { splitted_name at 0 } .bin
end function
function GenerateROMLine instruction index
begin
return string tmp( { index } ) := " { instruction } ";
end function
set opcodes = dict string ADD string... | import sys
def GenerateOutputFileName(raw_file_name):
splitted_name = raw_file_name.split('.')
return f'{splitted_name[0]}.bin'
def GenerateROMLine(instruction, index):
return f'tmp({index}) := "{instruction}"; \n'
opcodes = {
"ADD": "0001",
"SUB": "0010",
"LEA": "0011",
"MOVMR": "0100",
... | Python | zaydzuhri_stack_edu_python |
import os
function toktar_ide
begin
print string [welcome to TOKTAR IDE]
print string [enter <help> command in <file name : > to see instruction and usage]
while true
begin
set f = input string file name :
if f == string q
begin
break
end
else
if f == string help
begin
print string [ABOUT] * TOKTAR IDE is a command lin... | import os
def toktar_ide():
print("[welcome to TOKTAR IDE]")
print("[enter <help> command in <file name : > to see instruction and usage]\n")
while True:
f = input("file name : ")
if f == "q":
break
elif f == "help":
print("""
[ABOUT]
* TOKTAR IDE is a command line tool/ide for pythonier programmers and... | Python | zaydzuhri_stack_edu_python |
import time as T
import Adafruit_BBIO.GPIO as g
set All = list string P8_11 string P8_12 string P8_13 string P8_14 string P8_15 string P8_16 string P8_17
set up = list string P9_24 string P9_11 string P9_13 string P9_15
set down = list string P9_23 string P9_12 string P9_14 string P9_16
set zero = list string P8_11 str... | import time as T
import Adafruit_BBIO.GPIO as g
All=["P8_11","P8_12","P8_13","P8_14","P8_15","P8_16","P8_17"]
up=["P9_24","P9_11","P9_13","P9_15"]
down=["P9_23","P9_12","P9_14","P9_16"]
zero=["P8_11","P8_12","P8_13","P8_14","P8_15","P8_16"]
one=["P8_12","P8_13"]
two=["P8_11","P8_12","P8_17","P8_15","P8_14"]
three=["P8_... | Python | zaydzuhri_stack_edu_python |
comment n = 20
function KELCH df n
begin
set KelChM = rename string KelChM_ + string n
set KelChU = rename string KelChU_ + string n
set KelChD = rename string KelChD_ + string n
return tuple KelChM KelChU KelChD
end function | def KELCH(df, n): # n = 20
KelChM = ((df['High'] + df['Low'] + df['Close']) / 3).rolling(window=n).mean().rename('KelChM_' + str(n))
KelChU = ((4 * df['High'] - 2 * df['Low'] + df['Close']) / 3).rolling(window=n).mean().rename('KelChU_' + str(n))
KelChD = ((-2 * df['High'] + 4 * df['Low'] + df['Close']) / 3... | Python | nomic_cornstack_python_v1 |
comment Alex Liu
comment 11/13/18
import pylab as plt
import numpy as np
import matplotlib.animation as animation
import pandas as pd
import matplotlib.cm as cm
from matplotlib import colors
comment constants
set p = pi
set A = 0.1
set epsilon = 0.25
set w = p / 5
set delta = 0.0001
set dt = 0.1
set partition = 20
set ... | # Alex Liu
# 11/13/18
import pylab as plt
import numpy as np
import matplotlib.animation as animation
import pandas as pd
import matplotlib.cm as cm
from matplotlib import colors
# constants
p = np.pi
A = 0.1
epsilon = 0.25
w = p/5
delta = 0.0001
dt = 0.1
partition = 20
col = ['r','y','b','g','k','c','m','r','y','b'... | Python | zaydzuhri_stack_edu_python |
function _get_timber_data beam input output
begin
debug format string Getting timber data from '{}' input
try
begin
set fill_number = integer input
end
except ValueError
begin
set fill = call read_tfs input index=call COL_TIME
drop fill list comprehension call COL_MAV p for p in PLANES if call COL_MAV p in columns axis... | def _get_timber_data(beam, input, output):
LOG.debug("Getting timber data from '{}'".format(input))
try:
fill_number = int(input)
except ValueError:
fill = tfs.read_tfs(input, index=COL_TIME())
fill.drop([COL_MAV(p) for p in PLANES if COL_MAV(p) in fill.columns],
ax... | Python | nomic_cornstack_python_v1 |
function get_app
begin
global _app
if _app is none
begin
set entrypoint = get call get_config string APP_ENTRYPOINT
if not entrypoint
begin
raise call RuntimeError string APP_ENTRYPOINT missing from config
end
set tuple module_name attr_names = split entrypoint string :
set obj = call __import__ module_name fromlist=li... | def get_app():
global _app
if _app is None:
entrypoint = get_config().get('APP_ENTRYPOINT')
if not entrypoint:
raise RuntimeError('APP_ENTRYPOINT missing from config')
module_name, attr_names = entrypoint.split(':')
obj = __import__(module_name, fromlist=['.'])
... | Python | nomic_cornstack_python_v1 |
async function _set_point self
begin
while not call empty
begin
call get_nowait
end
set retries = 3
set response_set_point = FAILURE
while retries
begin
set response = await call async_send crc=true
if response == SUCCESS
begin
try
begin
return await call wait_for get _response_set_point TIMEOUT
end
except TimeoutError... | async def _set_point(self):
while not self._response_set_point.empty():
self._response_set_point.get_nowait()
retries = 3
response_set_point = ResponseStatus.FAILURE
while retries:
response = await self._get_set_point_command.async_send(crc=True)
if re... | Python | nomic_cornstack_python_v1 |
function copy self
begin
return call Cone
end function | def copy(self):
return Cone() | Python | nomic_cornstack_python_v1 |
function remove self item
begin
comment check if item is in list
if item in list
begin
set message = string
set i = index list item
return call remove_idx i
end
comment if not, operation unsuccessfull
add log itemname + string not in + name + string .
return none
end function | def remove(self, item):
# check if item is in list
if item in self.list:
self.message = ""
i = self.list.index(item)
return self.remove_idx(i)
# if not, operation unsuccessfull
self.log.add(self.itemname + " not in " + self.name +
".")
... | Python | nomic_cornstack_python_v1 |
function reconstruct_node self
begin
set object_ref = call fetch_live_object
end function | def reconstruct_node(self) -> None:
self.object_ref = self.fetch_live_object() | Python | nomic_cornstack_python_v1 |
function latest_blog_posts self request *args **kwargs
begin
set context = call get_context request *args keyword kwargs
set context at string latest_posts = call public at slice : 1 :
return call render request string myblog/latest_posts.html context
end function | def latest_blog_posts(self, request, *args, **kwargs):
context = self.get_context(request, *args, **kwargs)
context["latest_posts"] = MyblogDetailPage.objects.live().public()[:1]
return render(request, "myblog/latest_posts.html", context) | Python | nomic_cornstack_python_v1 |
import json
class User
begin
function __init__ self name age
begin
set name = name
set age = age
end function
end class
set user = call User string Max 27
string Serializarion thông thường sẽ báo lỗi như này TypeError: Object of type User is not JSON serializable
comment userJSON = json.dumps(user)
comment cần viết cus... | import json
class User:
def __init__(self, name, age):
self.name = name
self.age = age
user = User('Max', 27)
"""
Serializarion thông thường sẽ báo lỗi như này
TypeError: Object of type User is not JSON serializable
"""
# userJSON = json.dumps(user)
# cần viết custom encoding function
def enco... | Python | zaydzuhri_stack_edu_python |
function load file
begin
if not ends with file string .biosim
begin
raise call ValueError string Must be a '.biosim' file.
end
try
begin
return load pickle open file string br
end
except any
begin
raise call ValueError string This file is not a readable BioSim file.
end
end function | def load(file):
if not file.endswith(".biosim"):
raise ValueError("Must be a '.biosim' file.")
try:
return pickle.load(open(file, "br"))
except:
raise ValueError("This file is not a readable BioSim file.") | Python | nomic_cornstack_python_v1 |
function locate_package_json
begin
string Find and return the location of package.json.
set directory = SYSTEMJS_PACKAGE_JSON_DIR
if not directory
begin
raise call ImproperlyConfigured string Could not locate 'package.json'. Set SYSTEMJS_PACKAGE_JSON_DIR to the directory that holds 'package.json'.
end
set path = join p... | def locate_package_json():
"""
Find and return the location of package.json.
"""
directory = settings.SYSTEMJS_PACKAGE_JSON_DIR
if not directory:
raise ImproperlyConfigured(
"Could not locate 'package.json'. Set SYSTEMJS_PACKAGE_JSON_DIR "
"to the directory that holds... | Python | jtatman_500k |
function add self classifier threshold begin=none end=none
begin
string Adds a new strong classifier with the given threshold to the cascade. **Parameters:** classifier : :py:class:`bob.learn.boosting.BoostedMachine` A strong classifier to add ``threshold`` : float The classification threshold for this cascade step ``b... | def add(self, classifier, threshold, begin=None, end=None):
"""Adds a new strong classifier with the given threshold to the cascade.
**Parameters:**
classifier : :py:class:`bob.learn.boosting.BoostedMachine`
A strong classifier to add
``threshold`` : float
The classification threshold for... | Python | jtatman_500k |
function language_code self
begin
warn string Optional. Deprecated. The model automatically detects the text language. Your catalog can include text in different languages, but duplicating catalog items to provide text in multiple languages can result in degraded model performance. DeprecationWarning
warn string langua... | def language_code(self) -> Optional[pulumi.Input[str]]:
warnings.warn("""Optional. Deprecated. The model automatically detects the text language. Your catalog can include text in different languages, but duplicating catalog items to provide text in multiple languages can result in degraded model performance."""... | Python | nomic_cornstack_python_v1 |
import math
from config_offline import conf
function equal_mapping num
begin
return num
end function
function limit_log num lower=0.01 upper=100.0
begin
if num < lower
begin
set num = lower
end
else
if num > upper
begin
set num = upper
end
set num_log = log num
return num_log
end function
function log_change_single num... | import math
from config_offline import conf
def equal_mapping(num):
return num
def limit_log(num, lower=0.01, upper=100.0):
if num < lower:
num = lower
elif num > upper:
num = upper
num_log = math.log(num)
return num_log
def log_change_single(num):
num_log = 100 * limit_log... | Python | zaydzuhri_stack_edu_python |
function render_certificate
begin
if method == string POST
begin
set file_name = call generate_certificate form at string name form at string pr_num
return call render_template string download.html file_name=file_name
end
end function | def render_certificate():
if request.method == "POST":
file_name = generate_certificate(
request.form['name'],
request.form['pr_num'])
return render_template('download.html', file_name=file_name) | Python | nomic_cornstack_python_v1 |
function unsubscribe_from_topic tokens topic app=none
begin
return call make_topic_management_request tokens topic string iid/v1:batchRemove
end function | def unsubscribe_from_topic(tokens, topic, app=None):
return _get_messaging_service(app).make_topic_management_request(
tokens, topic, 'iid/v1:batchRemove') | Python | nomic_cornstack_python_v1 |
function collect_articles
begin
comment Create a json fixture for all articles which don't exist in the current
comment fixture file
comment TODO: Parse content before writing content to fixture
for article in call get_new_local_articles
begin
with open article_root + string / + article string r as f
begin
comment exte... | def collect_articles():
# Create a json fixture for all articles which don't exist in the current
# fixture file
# TODO: Parse content before writing content to fixture
for article in get_new_local_articles():
with open(article_root + "/" + article, 'r') as f:
#extension = article.sp... | Python | nomic_cornstack_python_v1 |
with open string input.txt string r as f
begin
set a = read line f
set n = integer a - 2
set d = integer a - 1
set r = integer a + 1
set e = integer a + 2
end
with open string output.txt string w as f
begin
write f string n
write f string
write f string d
write f string
write f string a
write f string
write f string r
... | with open('input.txt','r') as f:
a=f.readline()
n=int(a)-2
d=int(a)-1
r=int(a)+1
e=int(a)+2
with open('output.txt','w') as f:
f.write(str(n))
f.write(" ")
f.write(str(d))
f.write(" ")
f.write(str(a))
f.write(" ")
f.write(str(r))
f.write(" ")
f.w... | Python | zaydzuhri_stack_edu_python |
import argparse
import datetime
import json
import os
import subprocess
from src.db.db_connection import sql_cursor
string This script should be set up with a cron job to run daily. Each user will have to set up their rclone config, in our case pointing to a Google Drive folder: https://rclone.org/drive/ This can be do... | import argparse
import datetime
import json
import os
import subprocess
from src.db.db_connection import sql_cursor
"""
This script should be set up with a cron job to run daily.
Each user will have to set up their rclone config, in our case pointing to a Google Drive folder: https://rclone.org/drive/
This can be don... | Python | zaydzuhri_stack_edu_python |
from random import uniform
from math import log , sqrt , pi , sin , cos
class Boat
begin
function __init__ self
begin
set load_time = 0
set times = list 0 * 4
set type = call gen_boat
set times at 0 = call boat_arrival
end function
function __lt__ b1 b2
begin
return times at 0 < times at 0
end function
function __gt__ ... | from random import uniform
from math import log, sqrt, pi, sin, cos
class Boat:
def __init__(self):
self.load_time = 0
self.times = [0] * 4
self.type = gen_boat()
self.times[0] = boat_arrival()
def __lt__(b1, b2):
return b1.times[0] < b2.times[0]
def __gt... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
import pickle
import warnings
filter warnings string ignore
comment READ DATA
set df1 = read csv string Heart Disease1.csv
set df1 = drop df1 st... | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
import pickle
import warnings
warnings.filterwarnings("ignore")
#READ DATA
df1=pd.read_csv("Heart Disease1.csv")
df1=df1.drop('no',axis='colum... | Python | zaydzuhri_stack_edu_python |
function Cancel self request global_params=none
begin
set config = call GetMethodConfig string Cancel
return call _RunMethod config request global_params=global_params
end function | def Cancel(self, request, global_params=None):
config = self.GetMethodConfig('Cancel')
return self._RunMethod(
config, request, global_params=global_params) | Python | nomic_cornstack_python_v1 |
function __drawEvent self event
begin
call create_rectangle position at 0 - 10 position at 1 - 10 position at 0 + 10 position at 1 + 10 outline=string #000 fill=string #AAAAAA width=2
call create_text position at 0 position at 1 + 20 text=label
end function | def __drawEvent(self, event):
self.__canvas.create_rectangle(event.position[0] - 10, event.position[1] - 10, event.position[0] + 10, event.position[1] + 10, outline="#000", fill="#AAAAAA", width=2)
self.__canvas.create_text(event.position[0], event.position[1] + 20, text=event.label) | Python | nomic_cornstack_python_v1 |
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