code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment !/usr/bin/env python
from sys import exit
from collections import deque
set _DEBUG_ENABLE = true
set OFFSETLIVETRAFFIC = 4
set ROOTNODEID = - 100
set ALGOS = tuple string BFS string DFS string UCS string A*
function Debug_print msg
begin
string Method to print the debug messages
global _DEBUG_ENABLE
end functio... | #!/usr/bin/env python
from sys import exit
from collections import deque
_DEBUG_ENABLE = True
OFFSETLIVETRAFFIC = 4
ROOTNODEID = -100
ALGOS = ('BFS', 'DFS', 'UCS', 'A*')
def Debug_print(msg):
""" Method to print the debug messages """
global _DEBUG_ENABLE | Python | zaydzuhri_stack_edu_python |
function check_shape data day day_name=string DAY365
begin
comment Here we explicit variable "DAY365" because of our specific application in this project
if shape at 0 == 0
begin
return false
end
else
begin
return true
end
end function | def check_shape(data, day, day_name = 'DAY365'):
# Here we explicit variable "DAY365" because of our specific application in this project
if(data[data[day_name] == day].shape[0] == 0):
return False
else:
return True | Python | nomic_cornstack_python_v1 |
function load_rml self rml_name
begin
set conn = rml_tstore
set cache_path = join path CACHE_DATA_PATH string rml_files rml_name
if not exists path cache_path
begin
set results = call get_graph call uri get attribute kdr rml_name false conn
with open cache_path string w as file_obj
begin
write file_obj dumps results in... | def load_rml(self, rml_name):
conn = CFG.rml_tstore
cache_path = os.path.join(CFG.CACHE_DATA_PATH, 'rml_files', rml_name)
if not os.path.exists(cache_path):
results = get_graph(NSM.uri(getattr(NSM.kdr, rml_name), False),
conn)
with open(cac... | Python | nomic_cornstack_python_v1 |
function reset_models models
begin
for m in models
begin
delete
end
comment set autoincrement to zero using sequence_reset_sql
set srs = call sequence_reset_sql call no_style models
with call cursor as cursor
begin
for sql in srs
begin
execute cursor sql
end
end
end function | def reset_models(models):
for m in models:
m.objects.all().delete()
# set autoincrement to zero using sequence_reset_sql
srs = connection.ops.sequence_reset_sql(no_style(), models)
with connection.cursor() as cursor:
for sql in srs:
cursor.execute(sql) | Python | nomic_cornstack_python_v1 |
comment app.py
from flask import Flask , render_template , redirect , request , session , flash
from flask_session import Session
comment Flask 객체 인스턴스 생성
set app = call Flask __name__
set config at string SECRET_KEY = string ABCD
comment CORS
from flask_cors import CORS
call CORS app
comment Session
set config at stri... | # app.py
from flask import Flask, render_template, redirect, request, session , flash
from flask_session import Session
#Flask 객체 인스턴스 생성
app = Flask(__name__)
app.config["SECRET_KEY"] = "ABCD"
#CORS
from flask_cors import CORS
CORS(app)
#Session
app.config["SESSION_PERMANENT"] = False
app.config["SESSION_TYPE"] = "fil... | Python | zaydzuhri_stack_edu_python |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import random
class InstagramBot
begin
function __init__ self username password
begin
set username = username
set password = password
set browser = call Chrome string /Users/joshmanik/Downloads/chromedriver 3
end function
functio... | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import random
class InstagramBot:
def __init__(self, username, password):
self.username = username
self.password = password
self.browser = webdriver.Chrome("/Users/joshmanik/Downloads/chromedriver 3"... | Python | zaydzuhri_stack_edu_python |
function update_preference_settings_of_username_and_return_instance self username update_dict
begin
set preference_settings = call get_preference_settings_by_username username
call update_preference_settings preference_settings update_dict
return preference_settings
end function | def update_preference_settings_of_username_and_return_instance(self, username, update_dict):
preference_settings = self.get_preference_settings_by_username(username)
self.preference_model_handler.update_preference_settings(preference_settings, update_dict)
return preference_settings | Python | nomic_cornstack_python_v1 |
function get_name cls
begin
string Retrieve the schema name associated with a message class. Returns: str: The schema name. Raises: TypeError: If the message class isn't registered. Check your entry point for correctness.
global _registry_loaded
if not _registry_loaded
begin
call load_message_classes
end
try
begin
retu... | def get_name(cls):
"""
Retrieve the schema name associated with a message class.
Returns:
str: The schema name.
Raises:
TypeError: If the message class isn't registered. Check your entry point
for correctness.
"""
global _registry_loaded
if not _registry_loaded:... | Python | jtatman_500k |
comment Dark-Balck-Hat
set Stop = false
import smtplib
set smtpserver = call SMTP string smtp.mail.yahoo.com 465
call ehlo
call starttls | #Dark-Balck-Hat
Stop = False
import smtplib
smtpserver = smtplib.SMTP("smtp.mail.yahoo.com",465)
smtpserver.ehlo()
smtpserver.starttls() | Python | zaydzuhri_stack_edu_python |
function read object_id offset=0
begin
set api = call init
if offset > 1700
begin
raise call ValueError string offset should be less than the limit of 1700 bytes
end
if not is instance object_id ObjectId
begin
raise call TypeError format string You need to provide an ObjectId you provided {0} object_id
end
set argtypes... | def read(object_id, offset=0):
api = chip.init()
if offset > 1700:
raise ValueError("offset should be less than the limit of 1700 bytes")
if not isinstance(object_id, ObjectId):
raise TypeError("You need to provide an ObjectId you provided {0}".format(object_id))
api.exp_optiga_util_read_data.argtypes = c_us... | Python | nomic_cornstack_python_v1 |
function locations self locations
begin
set _locations = locations
end function | def locations(self, locations):
self._locations = locations | Python | nomic_cornstack_python_v1 |
from base_page import BasePage
from locators import ItemPagesLocators
class ProductPage extends BasePage
begin
function should_be_add_to_basket_button self
begin
assert call is_element_present *ItemPagesLocators.ADD_TO_BASKET_BUTTON msg string Add to basket button is not presented
set add_to_basket_button = call find_e... | from .base_page import BasePage
from .locators import ItemPagesLocators
class ProductPage(BasePage):
def should_be_add_to_basket_button(self):
assert self.is_element_present(*ItemPagesLocators.ADD_TO_BASKET_BUTTON), "Add to basket button is not presented"
self.add_to_basket_button = self.browser.f... | Python | zaydzuhri_stack_edu_python |
function best_method self metro curr dest
begin
return min call metro_cost metro curr dest string cw call metro_cost metro curr dest string ccw tuple BIKING_COST 1 list string map bike locationId=%s % dest
end function | def best_method(self, metro, curr, dest):
return min( self.metro_cost(metro, curr, dest, 'cw'),
self.metro_cost(metro, curr, dest, 'ccw'),
(self.BIKING_COST, 1, ['map bike locationId=%s' % dest]) ) | Python | nomic_cornstack_python_v1 |
function __init__ self X K=none k=none gamma=0.001 **kwargs
begin
if string distance in kwargs
begin
set distance = kwargs at string distance
pop kwargs string distance none
warn string If using kmeans, euclidean distance will be used.
end
else
begin
set distance = string euclidean
end
set C = K
comment should have eno... | def __init__(self,X, K = None, k = None, gamma = 1e-3, **kwargs):
if 'distance' in kwargs:
distance = kwargs['distance']
kwargs.pop('distance',None)
warnings.warn('If using kmeans, euclidean distance will be used.')
else:
distance = 'euclid... | Python | nomic_cornstack_python_v1 |
function gamma_function a exponent=1 negative_number_handling=string Indeterminate
begin
set a = call as_float_array a
set exponent = call as_float_array exponent
set negative_number_handling = call validate_method negative_number_handling tuple string Indeterminate string Mirror string Preserve string Clamp string "{0... | def gamma_function(
a: ArrayLike,
exponent: ArrayLike = 1,
negative_number_handling: Literal[
"Clamp", "Indeterminate", "Mirror", "Preserve"
]
| str = "Indeterminate",
) -> NDArrayFloat:
a = as_float_array(a)
exponent = as_float_array(exponent)
negative_number_handling = validat... | Python | nomic_cornstack_python_v1 |
import pymongo
from pymongo import MongoClient , errors
function store_student_info info
begin
set client = call MongoClient
set db = StudInfo
insert db info
close client
end function
function get_student_info id=0
begin
set student_info = list
set client = call MongoClient
set db = StudInfo
print id
if id != 0
begin
... | import pymongo
from pymongo import MongoClient, errors
def store_student_info(info):
client = MongoClient()
db = client.StudentDB.StudInfo
db.insert(info)
client.close()
def get_student_info(id=0):
student_info = []
client = MongoClient()
db = client.StudentDB.StudInfo
print(id)
... | Python | zaydzuhri_stack_edu_python |
function adjusted_classes pred_prob threshold
begin
return list comprehension if expression y >= threshold then 1 else 0 for y in pred_prob
end function | def adjusted_classes(pred_prob, threshold):
return [1 if y >= threshold else 0 for y in pred_prob] | Python | nomic_cornstack_python_v1 |
function is_db_view db_table
begin
if db_table in postgresql_views
begin
return true
end
return false
end function | def is_db_view(db_table):
if db_table in postgresql_views:
return True
return False | Python | nomic_cornstack_python_v1 |
comment MHZ19B.py
comment DM1CR Nov 14, 2020
comment Class for CO2 Sensor
comment for micropython on a ESP32
set MHZ19B_CMD_READCO2 = bytes list 255 1 134 0 0 0 0 0 121
class MHZ19B
begin
function __init__ self uart=none
begin
set _uart = uart
set _d = bytes 9
set _checksum = 0
set CO2 = 0
if uart is none
begin
raise c... | # MHZ19B.py
# DM1CR Nov 14, 2020
# Class for CO2 Sensor
# for micropython on a ESP32
#
MHZ19B_CMD_READCO2 = bytes([0xFF,0x01,0x86,0,0,0,0,0,0x79])
class MHZ19B:
def __init__(self, uart=None):
self._uart = uart
self._d = bytes(9)
self._checksum = 0
self.CO2 = 0
if uart ... | Python | zaydzuhri_stack_edu_python |
function evaluate self rmrs data=none
begin
comment Initialize the outcome dictionary
set outcome = dict
if id
begin
set outcome at string id = id
end
if description
begin
set outcome at string description = description
end
if rmr_context
begin
set outcome at string rmr_context = rmr_context
end
comment context will b... | def evaluate(self, rmrs, data = None):
# Initialize the outcome dictionary
outcome = {}
if self.id:
outcome['id'] = self.id
if self.description:
outcome['description'] = self.description
if self.rmr_context:
outcome['rmr_context'] = self.rmr_c... | Python | nomic_cornstack_python_v1 |
function get_default_config self
begin
set config = call get_default_config
update config dict string server string 127.0.0.1 ; string topic_exchange string diamond ; string vhost string / ; string user string guest ; string password string guest ; string port string 5672
return config
end function | def get_default_config(self):
config = super(rmqHandler, self).get_default_config()
config.update({
'server': '127.0.0.1',
'topic_exchange': 'diamond',
'vhost': '/',
'user': 'guest',
'password': 'guest',
'port': '5672',
... | Python | nomic_cornstack_python_v1 |
import numpy
import sklearn
print string Finished imports.
class FeedForwardNeuralNetwork
begin
comment member variables
comment size - 2 is the number of hidden variables,
set shape = list
end class
comment shape[0] is number of inputs, shape[n] is number of neurons in layer n | import numpy
import sklearn
print("Finished imports.")
class FeedForwardNeuralNetwork():
#member variables
shape = [] #size - 2 is the number of hidden variables,
#shape[0] is number of inputs, shape[n] is number of neurons in layer n
| Python | zaydzuhri_stack_edu_python |
function _evaluate_map self opa oha opb ohb
begin
set amap = zeros tuple call lena dtype=int64
set bmap = zeros tuple call lenb dtype=int64
set apmask = call reverse_integer_index opa
set ahmask = call reverse_integer_index oha
set bpmask = call reverse_integer_index opb
set bhmask = call reverse_integer_index ohb
if u... | def _evaluate_map(self, opa: List[int], oha: List[int], opb: List[int],
ohb: List[int]):
amap = numpy.zeros((self.lena(),), dtype=numpy.int64)
bmap = numpy.zeros((self.lenb(),), dtype=numpy.int64)
apmask = reverse_integer_index(opa)
ahmask = reverse_integer_index(oh... | Python | nomic_cornstack_python_v1 |
import sys
import argparse
from bill_share import BillShare
from rich.console import Console
from table.html_table import HtmlTable
from table.rich_table import RichTable
function run item_file payer1_share_percent is_html
begin
set items = call get_items item_file
set bill_share = call create_bill_share items
set paye... | import sys
import argparse
from bill_share import BillShare
from rich.console import Console
from table.html_table import HtmlTable
from table.rich_table import RichTable
def run(item_file, payer1_share_percent, is_html):
items = get_items(item_file)
bill_share = create_bill_share(items)
payer1_amount =... | Python | zaydzuhri_stack_edu_python |
function approx_sign x
begin
function grad dy
begin
set abs_x = absolute x
set zeros = zeros like dy
set mask = call less_equal abs_x 1.0
return where mask 1 - abs_x * 2 * dy zeros
end function
return tuple call sign x grad
end function | def approx_sign(x):
def grad(dy):
abs_x = tf.math.abs(x)
zeros = tf.zeros_like(dy)
mask = tf.math.less_equal(abs_x, 1.0)
return tf.where(mask, (1 - abs_x) * 2 * dy, zeros)
return math.sign(x), grad | Python | nomic_cornstack_python_v1 |
function release self
begin
set
end function | def release(self):
self._thread_shutdown.set() | Python | nomic_cornstack_python_v1 |
function testD_SquaredAlgo self
begin
set testJobGroup = call createTestJobGroup nJobs=nJobs
set config = call getConfig
set plugins = dict string Processing string SquaredAlgo
call section_ string SquaredAlgo
call section_ string Processing
set coolOffTime = dict string create 10 ; string submit 10 ; string job 10
set... | def testD_SquaredAlgo(self):
testJobGroup = self.createTestJobGroup(nJobs=self.nJobs)
config = self.getConfig()
config.RetryManager.plugins = {'Processing': 'SquaredAlgo'}
config.RetryManager.section_("SquaredAlgo")
config.RetryManager.SquaredAlgo.section_("Processing")
... | Python | nomic_cornstack_python_v1 |
function find_field schema field_name
begin
for field in schema
begin
if field at string name == field_name
begin
return field
end
end
end function | def find_field(schema, field_name):
for field in schema:
if field['name'] == field_name:
return field | Python | nomic_cornstack_python_v1 |
function solution self
begin
set num = num
set solution_file = join path EULER_DATA string solutions.txt
set solution_line = call getline solution_file num
try
begin
set answer = strip split solution_line string . at 1
end
except IndexError
begin
set answer = none
end
if answer
begin
return answer
end
else
begin
set ms... | def solution(self):
num = self.num
solution_file = os.path.join(EULER_DATA, 'solutions.txt')
solution_line = linecache.getline(solution_file, num)
try:
answer = solution_line.split('. ')[1].strip()
except IndexError:
answer = None
if answer:
... | Python | nomic_cornstack_python_v1 |
function evaluate self
begin
raise call NotImplementedError string This needs implemented
end function | def evaluate(self):
raise NotImplementedError("This needs implemented") | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Copyright (C) 2014 walker li <walker8088@gmail.com> This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later ... | # -*- coding: utf-8 -*-
'''
Copyright (C) 2014 walker li <walker8088@gmail.com>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later versio... | Python | zaydzuhri_stack_edu_python |
function update_state state action
begin
set cartpole = call CartPole
call set_state state
set tuple _ done = call take_action action
comment if the last action takes it out of range, REPEAT
comment This could use more attention to make sure behavior is desirable...
if done
begin
print string Warning: action took state... | def update_state(state, action):
cartpole = CartPole()
cartpole.set_state(state)
_, done = cartpole.take_action(action)
# if the last action takes it out of range, REPEAT
# This could use more attention to make sure behavior is desirable...
if done:
print ("Warning: action took state ou... | Python | nomic_cornstack_python_v1 |
function xyz self
begin
if not _xyz_
begin
set convert = 0
comment if self.unit() != 'g': #### need calibration numbers for flight units
comment convert = 1
comment if self.unit() == 'volts':
comment mx = my = mz = 1.0/3.89791388
comment bx = by = bz = 0
comment else: # must be counts
comment if self.gain() == 1.0:
com... | def xyz(self):
if not self._xyz_:
convert = 0
## if self.unit() != 'g': #### need calibration numbers for flight units
## convert = 1
## if self.unit() == 'volts':
## mx = my = mz = 1.0/3.89... | Python | nomic_cornstack_python_v1 |
function to_str self
begin
return call pformat call to_dict
end function | def to_str(self):
return pprint.pformat(self.to_dict()) | Python | nomic_cornstack_python_v1 |
comment noqa: E501
function __init__ self component=none version=none dependencies=none
begin
set openapi_types = dict string component str ; string version str ; string dependencies List at GridDependencies
set attribute_map = dict string component string component ; string version string version ; string dependencies... | def __init__(self, component=None, version=None, dependencies=None): # noqa: E501
self.openapi_types = {
"component": str,
"version": str,
"dependencies": List[GridDependencies],
}
self.attribute_map = {
"component": "component",
"ver... | Python | nomic_cornstack_python_v1 |
function comma_choice_list cls string
begin
string Convert a comma separated string to `CommaChoiceListArgs`.
set items = split string string ,
set items = call CommaChoiceListArgs list comprehension strip item for item in items
return items
end function | def comma_choice_list(cls, string):
'''Convert a comma separated string to `CommaChoiceListArgs`.'''
items = string.split(',')
items = CommaChoiceListArgs([item.strip() for item in items])
return items | Python | jtatman_500k |
comment Strings in python are surrounded by either single or double quotation marks. Let's look at string formatting and some string methods
set name = string Cam
set age = 29
comment Concatenate
print string Hello, my name is + name
comment String Formatting
comment String Methods | # Strings in python are surrounded by either single or double quotation marks. Let's look at string formatting and some string methods
name = 'Cam'
age = 29
# Concatenate
print('Hello, my name is ' + name)
# String Formatting
# String Methods
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu Sep 15 00:24:32 2016 @author: yyc
import pandas as pd
from sklearn import neighbors
from sklearn.cross_validation import cross_val_score
string Use KNN to test cancer prediction accuracy with different range of k
function KNN X y
begin
co... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 15 00:24:32 2016
@author: yyc
"""
import pandas as pd
from sklearn import neighbors
from sklearn.cross_validation import cross_val_score
"""
Use KNN to test cancer prediction accuracy with different range of k
"""
def KNN(X, y):
# Try differ... | Python | zaydzuhri_stack_edu_python |
import random
set Dicth = string 1234567890!@#$%^&*()_+-=abcdefghijklmnopqrstuvwxyz
set Pass_Temp = list
set Pass_Exam = string
comment def Password_Length():
comment P_Length = int(input())
comment retrun P_Length
comment def Password_Come(P_temp):
comment exam = []
comment for i in range(P_temp):
comment exam.appen... | import random
Dicth="1234567890!@#$%^&*()_+-=abcdefghijklmnopqrstuvwxyz"
Pass_Temp = []
Pass_Exam = ''
# def Password_Length():
# P_Length = int(input())
# retrun P_Length
# def Password_Come(P_temp):
# exam = []
# for i in range(P_temp):
# exam.append(random.choice(Dicth))
# retrun exam
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Tue Dec 8 10:56:39 2015 @author: winstroth
import numpy as np
import matplotlib.pyplot as plt
from scipy import interpolate
import airfoiltools as aft
set num_vec = 150
comment Load airfoil coordinates
set airf_coord = call loadtxt string ../airfoils/du_91-w2-250.dat usec... | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 8 10:56:39 2015
@author: winstroth
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy import interpolate
import airfoiltools as aft
num_vec = 150
# Load airfoil coordinates
airf_coord = np.loadtxt('../airfoils/du_91-w2-250.dat',
... | 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 |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import csv
import time
import copy
from re import sub
from decimal import De... | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import csv
import time
import copy
from re import sub
from decimal import D... | Python | zaydzuhri_stack_edu_python |
function _second_scale_update self value
begin
set string %02d % integer floor decimal value
set number_key_mode = MODE_NONE
end function | def _second_scale_update(self, value):
self._second_var.set('%02d' % int(math.floor(float(value))))
self.number_key_mode = MODE_NONE | Python | nomic_cornstack_python_v1 |
from tkinter import *
class Main
begin
function resultado self
begin
set dtb = integer get B
set dta = integer get A
set dtc = integer get C
comment CONTA
set p = dtb * dtb
set v = 4 * dta * dtc
if dtc < 0
begin
set v = 4 * dta * - dtc
end
else
if dta < 0
begin
set v = 4 * - dta * dtc
end
else
if dta and dtc < 0
begin
... | from tkinter import *
class Main:
def resultado(self):
dtb = int(self.B.get())
dta = int(self.A.get())
dtc = int(self.C.get())
#CONTA
p = dtb * dtb
v = (4 * dta * dtc)
if dtc < 0:
v = (4 * dta * (-dtc))
... | Python | zaydzuhri_stack_edu_python |
comment basic skeleton code for viewing and adding functionality to windows created using QtDesigner5
comment prints to the screen when the pushbutton is clicked.
comment Source for skeleton: https://www.learnpyqt.com/courses/qt-creator/embed-pyqtgraph-custom-widgets-qt-app/
comment Source for integrating functionality... | # basic skeleton code for viewing and adding functionality to windows created using QtDesigner5
# prints to the screen when the pushbutton is clicked.
# Source for skeleton: https://www.learnpyqt.com/courses/qt-creator/embed-pyqtgraph-custom-widgets-qt-app/
# Source for integrating functionality into the layout: https... | Python | zaydzuhri_stack_edu_python |
class NumArray
begin
function __init__ self nums
begin
set arr = list nums at 0
for i in range 1 length nums
begin
append arr arr at i - 1 + nums at i
end
end function
function sumRange self left right
begin
if left == 0
begin
return arr at right
end
return arr at right - arr at left - 1
end function
end class
comment ... | class NumArray:
def __init__(self, nums: List[int]):
self.arr = [nums[0]]
for i in range(1, len(nums)):
self.arr.append(self.arr[i-1]+nums[i])
def sumRange(self, left: int, right: int) -> int:
if left == 0:
return self.arr[right]
return self.arr[right] -... | Python | zaydzuhri_stack_edu_python |
set a = integer input string select the starting meter
set b = integer input string enter your ending meter
print string 1.auto,2.car,3.cab,4.bmw
set d = integer input string enter your name
set c = a - b
if a >= 0
begin
if d == 1
begin
set c = c * 8
end
else
if d == 2
begin
set c = c * 10
end
else
if d == 3
begin
set ... | a=int(input("select the starting meter "))
b=int(input("enter your ending meter "))
print("1.auto,2.car,3.cab,4.bmw")
d=int(input("enter your name"))
c=a-b
if(a>=0):
if(d==1):
c=c*8
elif(d==2):
c=c*10
elif(d==3):
c=c*11
elif(d==4):
c=c*12
else:
print("enter the option")
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import vec_spaces
from preprocessing import read_processed_data , DataLoader
comment self import
import random
function test_newsgroup_similarity mat id_to_newsgroups sim_func=compute_cosine_similarity
begin
string Arguments --------- mat: `np.ndarray` (V, D) Each column is "newsgroup" vector. id_to_... | import numpy as np
import vec_spaces
from preprocessing import read_processed_data, DataLoader
#self import
import random
def test_newsgroup_similarity(
mat, id_to_newsgroups, sim_func=vec_spaces.compute_cosine_similarity
):
"""
Arguments
---------
mat: `np.ndarray` (V, D)
Each c... | Python | zaydzuhri_stack_edu_python |
comment Imports
from strategies.quotes_class import Quote , Quotes
import math
comment Functions
function refresh_quotes conn
begin
comment Checks wether quotes are in place, updates them if needed
set ALPHA_TOLERANCE = 2
set ALPHA_INDEX = - 0.3
set BETA_TOLERANCE = 2
set BETA_INDEX = - 0.1
set GAMMA_TOLERANCE = 10
set... | # Imports
from strategies.quotes_class import Quote, Quotes
import math
# Functions
def refresh_quotes(conn):
# Checks wether quotes are in place, updates them if needed
ALPHA_TOLERANCE = 2
ALPHA_INDEX = - 0.3
BETA_TOLERANCE = 2
BETA_INDEX = -0.1
GAMMA_TOLERANCE = 10
GAMMA_INDEX = 0.0
... | Python | zaydzuhri_stack_edu_python |
function find_highest_point self
begin
if get tags string kind none == string box
begin
comment Boxes get special treatment. We ignore their sides.
set highest_point = position
end
else
begin
set highest_point = max call iter_salient_points key=lambda p -> z default=none
end
if highest_point is none
begin
return none
e... | def find_highest_point(self) -> Optional[Point]:
if self.tags.get('kind', None) == 'box':
# Boxes get special treatment. We ignore their sides.
highest_point = self.position
else:
highest_point = max(self.shape.iter_salient_points(), key=lambda p: p.z, default=None)
... | Python | nomic_cornstack_python_v1 |
from collections import Counter
set S = 0
with open string ./two_cities_ascii.txt as f
begin
set c = counter
for line in f
begin
comment Counting the times each character Appears
set c = c + counter line
end
end
set c = dictionary c
for i in c
begin
comment Summing all characters
set S = S + c at i
end
comment Calculat... | from collections import Counter
S = 0
with open("./two_cities_ascii.txt") as f:
c = Counter()
for line in f:
c += Counter(line) # Counting the times each character Appears
c = dict(c)
for i in c:
S = S+c[i] # Summing all characters
c.update((x, round(y/S * 100)) for x, y in c.items(... | Python | zaydzuhri_stack_edu_python |
function getGrades self student
begin
comment return copy of student's grades
try
begin
comment return a copy, not the original so it can't be messed up
return grades at call getIdNum at slice : :
end
except KeyError
begin
raise call ValueError string Student no in grade book
end
end function | def getGrades(self, student):
try: #return copy of student's grades
return self.grades[student.getIdNum()][:] #return a copy, not the original so it can't be messed up
except KeyError:
raise ValueError('Student no in grade book') | Python | nomic_cornstack_python_v1 |
function date self
begin
return call Date year month day
end function | def date(self) -> Date:
return Date(self.year, self.month, self.day) | Python | nomic_cornstack_python_v1 |
function test_getitem self
begin
set rp = call Reverse_Primer string AAGTCCG 0
assert true rp at 3 == string T
end function | def test_getitem(self):
rp = Reverse_Primer("AAGTCCG", 0)
self.assertTrue(rp[3] == "T") | Python | nomic_cornstack_python_v1 |
from random import randint , random , uniform
from MyGraph import Graph
class Ant
begin
function __init__ self distanceGraph colony q0
begin
comment colonia are:
comment - matricea feromonului depus de furnici
comment - metrica de distanta(inversul ei pentru a fi maxim)
comment - coef. alpha si beta(A,B)
set colony = c... | from random import randint,random,uniform
from MyGraph import Graph
class Ant:
def __init__(self, distanceGraph:Graph, colony, q0):
#colonia are:
# - matricea feromonului depus de furnici
# - metrica de distanta(inversul ei pentru a fi maxim)
# - coef. alpha si beta(A,B)
se... | Python | zaydzuhri_stack_edu_python |
import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import GCNConv , GATConv
class Simple_GNN extends Module
begin
function __init__ self num_node_features hidden_size=10
begin
call __init__
set conv1 = call GATConv num_node_features hidden_size
set conv2 = call... | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import GCNConv, GATConv
class Simple_GNN(torch.nn.Module):
def __init__(self, num_node_features,hidden_size=10):
super(Simple_GNN, self).__init__()
self.conv1 = GATConv(num_node_features... | Python | zaydzuhri_stack_edu_python |
function summon_cursor self
begin
set cursor = call cursor
end function | def summon_cursor(self):
self.cursor = self.connection.cursor() | Python | nomic_cornstack_python_v1 |
comment input from user height and weight
comment calculating BMI
comment bmi = (weight/(height*height))*10000
comment bmi <= 18.5 , Underweight
comment bmi between 18.5 and 24.9 , Normal weight
comment bmi between 25 and 29.9 , Overweight
comment bmi 30 or more , Obesity | # input from user height and weight
# calculating BMI
# bmi = (weight/(height*height))*10000
# bmi <= 18.5 , Underweight
# bmi between 18.5 and 24.9 , Normal weight
# bmi between 25 and 29.9 , Overweight
# bmi 30 or more , Obesity
| Python | zaydzuhri_stack_edu_python |
class A
begin
function keys self
begin
return tuple
end function
end class
function a
begin
set x = 5
function b
begin
return x
end function
exec __code__
end function
function c d
begin
pass
end function
try
begin
exec string 5 dict 5
assert false msg 0
end
except TypeError
begin
try
begin
exec string 5 call A
asser... | class A:
def keys(self): return ()
def a():
x = 5
def b():
return x
exec(b.__code__)
def c(d): pass
try:
exec("5", {}, 5)
assert False, 0
except TypeError:
try:
exec("5", A())
assert False, 1
except TypeError:
try:
a()
assert False, 2
except TypeError:
try:
... | Python | zaydzuhri_stack_edu_python |
import sys
comment Take input from stdin
for string in stdin
begin
comment Check if input string contains any zeroes
if string 0 in string
begin
print string Sorry, the inputs contained a zero
end
else
begin
comment Turn input into two separate string variables
set answers = split string
comment Reverse the two foremos... | import sys
#Take input from stdin
for string in sys.stdin:
#Check if input string contains any zeroes
if "0" in string:
print("Sorry, the inputs contained a zero")
else:
#Turn input into two separate string variables
answers = string.split()
#Reverse the two foremost string... | Python | zaydzuhri_stack_edu_python |
from __future__ import division
import numpy
from numpy import *
comment import matplotlib.pyplot as plt
import evaluation
function predict train_dataSet train_labels test_dataSet test_labels w b
begin
string Predict training and test set
set train_sample_num = length train_labels
set train_feature_num = length train_d... | from __future__ import division
import numpy
from numpy import *
#import matplotlib.pyplot as plt
import evaluation
def predict(train_dataSet, train_labels, test_dataSet, test_labels, w, b):
"""
Predict training and test set
"""
train_sample_num = len(train_labels)
train_feature_num = len(train_dataSet[0]... | Python | zaydzuhri_stack_edu_python |
comment class to solve the pricing problem for the multicommodity flow
comment column generation framework
import networkx as nx
from copy import deepcopy
class PricingSolver
begin
function __init__ self graph constraints findConstraints numberOfCommodities
begin
set graph = graph
call __set_sources_sinks numberOfCommo... | # class to solve the pricing problem for the multicommodity flow
# column generation framework
import networkx as nx
from copy import deepcopy
class PricingSolver:
def __init__(self,graph, constraints,findConstraints,numberOfCommodities):
self.graph = graph
self.__set_sources_sinks(numberOfCommodities)
self.... | Python | zaydzuhri_stack_edu_python |
function calling_points self
begin
return _calling_points
end function | def calling_points(self):
return self._calling_points | Python | nomic_cornstack_python_v1 |
import face_recognition
class FaceRecognitionModel
begin
set __DEFAULT_FACE_LABEL = string Unknown
function __init__ self known_face_labels known_face_encodings
begin
set __known_face_labels = known_face_labels
set __known_face_encodings = known_face_encodings
end function
function predictFaceLabel self image face_loca... | import face_recognition
class FaceRecognitionModel:
__DEFAULT_FACE_LABEL = "Unknown"
def __init__(self, known_face_labels, known_face_encodings):
self.__known_face_labels = known_face_labels
self.__known_face_encodings = known_face_encodings
def predictFaceLabel(self, image, face_locatio... | Python | zaydzuhri_stack_edu_python |
function stop self
begin
info string Stopping Agatsuma...
for extension in extensions
begin
call on_core_stop self
end
call _stop
end function | def stop(self):
self.logger.core.info("Stopping Agatsuma...")
for extension in self.extensions:
extension.on_core_stop(self)
self._stop() | Python | nomic_cornstack_python_v1 |
function add_prefix self state_dict prefix
begin
print format string add prefix '{}' prefix
comment 去除带有prefix的名字
set f = lambda x -> x + prefix
return dictionary comprehension f dist key : value for tuple key value in items state_dict
end function | def add_prefix(self, state_dict, prefix):
print('add prefix \'{}\''.format(prefix))
f = lambda x: x + prefix # 去除带有prefix的名字
return {f(key): value for key, value in state_dict.items()} | Python | nomic_cornstack_python_v1 |
import random
set HP_BASE = 100
set SP_BASE = 100
set MP_BASE = 100
set SPEED_BASE = 100
set INITIATIVE_BASE = 100
set ATTRIBUTES = list string name string status string klass string race
class unit
begin
function __init__ self **feature
begin
set heals_point = HP_BASE
set stamina_point = SP_BASE
set mana_point = MP_BA... | import random
HP_BASE = 100
SP_BASE = 100
MP_BASE = 100
SPEED_BASE = 100
INITIATIVE_BASE = 100
ATTRIBUTES = ['name', 'status', 'klass', 'race']
class unit():
def __init__(self, **feature):
self.heals_point = HP_BASE
self.stamina_point = SP_BASE
self.mana_point = MP_BASE
self.speed ... | Python | zaydzuhri_stack_edu_python |
comment Accepts a large number and a small number. Then it tells the greatest range between prime numbers.
set l = integer input string Enter lower limit :
set h = integer input string Enter higher limit :
comment Accepting values
set c = 0
set pn = list
set asc = list
for i in range l h + 1
begin
for j in range 1 i ... | #Accepts a large number and a small number. Then it tells the greatest range between prime numbers.
l=int(input("Enter lower limit : "))
h=int(input("Enter higher limit :"))
#Accepting values
c=0
pn=[]
asc=[]
for i in range(l,h+1):
for j in range(1,i+1):
if i%j==0:
c+=1
if c==2:
... | Python | zaydzuhri_stack_edu_python |
comment Generates a properly signed URL for opening a twitter stream via curl
comment To use, at the command prompt (or in bash)
comment URL=$(python twitter_curl_url_builder.py)
comment curl -get "$URL"
import oauth2 as oauth
import time
comment Set the API endpoint
set url = string https://stream.twitter.com/1.1/stat... | # Generates a properly signed URL for opening a twitter stream via curl
#
# To use, at the command prompt (or in bash)
# URL=$(python twitter_curl_url_builder.py)
# curl -get "$URL"
#
import oauth2 as oauth
import time
# Set the API endpoint
url = 'https://stream.twitter.com/1.1/statuses/sample.json'
# Set th... | Python | zaydzuhri_stack_edu_python |
import collections
import pandas as pd
from pyalgotrade import plotter
from pyalgotrade import strategy
from pyalgotrade import technical
from pyalgotrade.barfeed import yahoofeed
from pyalgotrade.broker import backtesting
from pyalgotrade.stratanalyzer import drawdown
from pyalgotrade.stratanalyzer import returns
from... | import collections
import pandas as pd
from pyalgotrade import plotter
from pyalgotrade import strategy
from pyalgotrade import technical
from pyalgotrade.barfeed import yahoofeed
from pyalgotrade.broker import backtesting
from pyalgotrade.stratanalyzer import drawdown
from pyalgotrade.stratanalyzer import re... | Python | zaydzuhri_stack_edu_python |
comment encoding : utf-8
comment @File : Utilities.py
comment @Author : AllenWoo
comment @Date : 2018/1/30 9:01
comment @license : Copyright(C), all right reserved.
comment @Contact : http://github.com/junbujianwpl
comment @Desc : common utilities
import os
function get_file_size fname
begin
return get size path fname
... | # encoding : utf-8
# @File : Utilities.py
# @Author : AllenWoo
# @Date : 2018/1/30 9:01
# @license : Copyright(C), all right reserved.
# @Contact : http://github.com/junbujianwpl
# @Desc : common utilities
import os
def get_file_size(fname):
return os.path.getsize(fname)
def rename_file(old_name, ne... | Python | zaydzuhri_stack_edu_python |
function directMessage self data who header=none
begin
set sentCount = 0
debug string broadcast - + string data + string - + string who
comment Add newline if needed
if data at - 1 != string
begin
set data = data + string
end
comment toDo: this should be a name search, instead of a number from 'who'
if call isNum who... | def directMessage(self, data, who, header=None):
sentCount = 0
logger.debug("broadcast - " + str(data) + " - " + str(who))
if data[-1] != "\n": # Add newline if needed
data += "\n"
# toDo: this should be a name search, instead of a number from 'who'
if self.isNum(w... | Python | nomic_cornstack_python_v1 |
comment https://www.interviewbit.com/problems/prettyprint/
class Solution
begin
comment @param A : integer
comment @return a list of list of integers
function prettyPrint self A
begin
set cache = dict
set center = A - 1
for i in range 2 * A - 1
begin
for j in range 2 * A - 1
begin
set cache at tuple i j = max absolute... | # https://www.interviewbit.com/problems/prettyprint/
class Solution:
# @param A : integer
# @return a list of list of integers
def prettyPrint(self, A):
cache = {}
center = A - 1
for i in range(2*A - 1):
for j in range(2*A - 1):
cache[(i, j)] = max(abs(i-... | Python | zaydzuhri_stack_edu_python |
function get_Plot self title=none text=none width=10 get_plt=false
begin
set width = width
figure figsize=tuple width 10
set pTitle = if expression title is not none then string Diarization Performance on %s % title else string Diarization Performance
call suptitle pTitle
comment plot reference
subplot 211
call plot_an... | def get_Plot(self, title=None, text=None, width=10, get_plt=False):
notebook.width = width
plt.figure(figsize=(notebook.width, 10))
pTitle = ('Diarization Performance on %s' % title) if title is not None else 'Diarization Performance'
plt.suptitle(pTitle)
# plot referen... | Python | nomic_cornstack_python_v1 |
import sys
set input = readline
set tuple n k = map int split input
set graph = list comprehension list 0 * n for _ in range n
for _ in range k
begin
set tuple a b = map int split input
set graph at a - 1 at b - 1 = 1
end
function floyd graph
begin
for x in range n
begin
for a in range n
begin
for b in range n
begin
if... | import sys
input = sys.stdin.readline
n, k = map(int, input().split())
graph = [[0]*n for _ in range(n)]
for _ in range(k):
a, b = map(int, input().split())
graph[a-1][b-1] = 1
def floyd(graph):
for x in range(n):
for a in range(n):
for b in range(n):
if graph[a][x] and graph[x][b]:
... | Python | zaydzuhri_stack_edu_python |
function col x *number
begin
for y in number
begin
set x = x * y
end
return x
end function
print call col 5 6 7 8 | def col(x,*number):
for y in number:
x=x*y
return x
print(col(5,6,7,8)) | Python | zaydzuhri_stack_edu_python |
comment if and elif
comment zmienne
set age = 17
set isDrunk = false
set isRestrictedArea = false
comment to jest trudne do zrozumienia, zagnieżdżona instrukcja warunkowa, ale można łatwiej
if age < 18
begin
print string za młody na alko
end
else
if isDrunk
begin
print string jestes pijany? nie moge Ci sprzedac alkohol... | #if and elif
#zmienne
age = 17
isDrunk = False
isRestrictedArea = False
#to jest trudne do zrozumienia, zagnieżdżona instrukcja warunkowa, ale można łatwiej
if age < 18:
print('za młody na alko')
else:
if isDrunk:
print('jestes pijany? nie moge Ci sprzedac alkoholu')
else:
if isRestrictedA... | Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn.functional as F
class KeypointEncoder extends object
begin
function encode self keypoints input_size stride hm_alpha hm_sigma
begin
string For each image, create heatmaps and visibility masks. For 224*224 image and 14 * 3 kps and 2 stride, return 112*112*14 heatmap Args: keypoints (tensor):... | import torch
import torch.nn.functional as F
class KeypointEncoder(object):
def encode(self, keypoints, input_size, stride, hm_alpha, hm_sigma):
'''
For each image, create heatmaps and visibility masks. For 224*224 image and
14 * 3 kps and 2 stride, return 112*112*14 heatmap
... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function minSubArrayLen self s nums
begin
set res = decimal string inf
set j = 0
set curr = 0
for tuple i c in enumerate nums
begin
set curr = curr + c
while curr >= s
begin
set res = min res i - j + 1
set curr = curr - nums at j
set j = j + 1
end
end
return if expression res < decimal string inf t... | class Solution:
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
res = float('inf')
j = 0
curr = 0
for i, c in enumerate(nums):
curr += c
while curr >= s:
res = min(res, i - j + 1)
curr -= nums[j]
... | Python | zaydzuhri_stack_edu_python |
function f filename
begin
comment Note: this encoding could be wrong!
set f = open filename string r encoding=string latin1
set all_data = read f
close f
print string all_data is all_data string
comment just for fun
return all_data at slice 42 : 43 :
end function | def f(filename):
f = open(filename,"r",encoding="latin1") # Note: this encoding could be wrong!
all_data = f.read()
f.close()
print("\n\nall_data is", all_data, "\n\n")
return all_data[42:43] # just for fun | Python | nomic_cornstack_python_v1 |
comment Exemplo basico socket (lado ativo)
import socket
comment maquina onde esta o par passivo
set HOST = string localhost
comment porta que o par passivo esta escutando
set PORTA = 5000
comment cria socket
comment default: socket.AF_INET, socket.SOCK_STREAM
set sock = call socket
comment conecta-se com o par passivo... | # Exemplo basico socket (lado ativo)
import socket
HOST = 'localhost' # maquina onde esta o par passivo
PORTA = 5000 # porta que o par passivo esta escutando
# cria socket
sock = socket.socket() # default: socket.AF_INET, socket.SOCK_STREAM
# conecta-se com o par passivo
sock.connect((HOST, PORTA))
#faz a... | Python | zaydzuhri_stack_edu_python |
function getParent self
begin
return parent
end function | def getParent(self):
return self.parent | Python | nomic_cornstack_python_v1 |
import msvcrt
comment init keymap
set keymap = dict tuple 8 none string backspace ; tuple 13 none string enter ; tuple 27 none string esc
update keymap dictionary comprehension tuple i none : character i for i in range 32 127
update keymap dict tuple 224 72 string up ; tuple 224 80 string down ; tuple 224 75 string lef... | import msvcrt
#init keymap
keymap = {(8,None):'backspace',(13,None):'enter',(27,None):'esc'}
keymap.update({(i,None):chr(i) for i in range(32,127)})
keymap.update({(224,72):'up',(224,80):'down',(224,75):'left',(224,77):'right'})
#end init,start function
def keyboard(debug=False):
ch = ord(msvcrt.getch())
... | Python | zaydzuhri_stack_edu_python |
comment coding=gbk
import better_exceptions
call hook
import numpy as np
import matplotlib.pyplot as plt
set rcParams at string font.sans-serif = string SimHei
set rcParams at string axes.unicode_minus = false
set samples = call normal size=1000
set bins = array range - 4 5
set histogram = call histogram samples bins=b... | # coding=gbk
import better_exceptions
better_exceptions.hook()
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = 'SimHei'
plt.rcParams['axes.unicode_minus'] = False
samples = np.random.normal(size=1000)
bins = np.arange(-4, 5)
histogram = np.histogram(samples, bins=bins, normed=T... | Python | zaydzuhri_stack_edu_python |
function parse_cores core_str
begin
set num_cores = cpu count
set cores = list
comment remove spaces
replace core_str string string
comment check if not a range
if string - not in core_str
begin
set cores = list map int split strip core_str string ,
end
else
begin
comment parse range e.g. 2-8
set core_str = split str... | def parse_cores(core_str):
num_cores = os.cpu_count()
cores = []
# remove spaces
core_str.replace(" ", "")
# check if not a range
if '-' not in core_str:
cores = list(map(int, core_str.strip().split(',')))
else:
# parse range e.g. 2-8
core_str = core_str.strip().spl... | Python | nomic_cornstack_python_v1 |
function get_by_id value id
begin
if value is none
begin
return none
end
for val in value
begin
if string id in keys val and val at string id == id
begin
return val
end
end
return none
end function | def get_by_id(value, id):
if value is None:
return None
for val in value:
if 'id' in val.keys() and val['id'] == id:
return val
return None | Python | nomic_cornstack_python_v1 |
function handle_extensions extensions=tuple string html
begin
set ext_list = list
for ext in extensions
begin
extend ext_list split replace ext string string string ,
end
for tuple i ext in enumerate ext_list
begin
if not starts with ext string .
begin
set ext_list at i = string .%s % ext_list at i
end
end
comment we... | def handle_extensions(extensions=('html',)):
ext_list = []
for ext in extensions:
ext_list.extend(ext.replace(' ','').split(','))
for i, ext in enumerate(ext_list):
if not ext.startswith('.'):
ext_list[i] = '.%s' % ext_list[i]
# we don't want *.py files here because ... | Python | nomic_cornstack_python_v1 |
function print_level self node depth
begin
if not node
begin
return
end
if depth == 1
begin
set print_count = print_count + 1
print point print_count
end
else
if depth > 1
begin
call print_level left depth - 1
call print_level right depth - 1
end
end function | def print_level(self, node, depth):
if not node:
return
if depth == 1:
self.print_count += 1
print(node.point, self.print_count)
elif depth > 1:
self.print_level(node.left, depth - 1)
self.print_level(node.right, depth - 1) | Python | nomic_cornstack_python_v1 |
comment /usr/bin/env python3
comment 生成器函数(含有yield关键字)
comment yield和return关键字不能同时存在
function generator
begin
print 1
set a = 123
yield string a
print 2
end function
set g = call generator
comment print(g.__next__())
print next g | #/usr/bin/env python3
#生成器函数(含有yield关键字)
#yield和return关键字不能同时存在
def generator():
print(1)
a = 123
yield 'a'
print(2)
g = generator()
#print(g.__next__())
print(next(g))
| Python | zaydzuhri_stack_edu_python |
function offset self
begin
if string offset in self
begin
return self at string offset
end
else
begin
return none
end
end function | def offset(self):
if 'offset' in self:
return self['offset']
else:
return None | Python | nomic_cornstack_python_v1 |
class Stack
begin
function __init__ self
begin
set abi = list
end function
function is_empty self
begin
return abi == list
end function
function push self data
begin
append abi data
end function
function pop self
begin
return pop abi
end function
end class
set pri = stack
set barathi = input string
for char in barath... | class Stack:
def __init__(self):
self.abi = []
def is_empty(self):
return self.abi == []
def push(self, data):
self.abi.append(data)
def pop(self):
return self.abi.pop()
pri= Stack()
barathi = input(' ')
for char in barathi:
pri.push(char)
rev_text = ''
while not pr... | Python | zaydzuhri_stack_edu_python |
import os
import re
class CPSO4FF
begin
function getSOList self
begin
set pattern = compile string (\S+)\s=>\snot found
set out = popen string ldd ffmpeg
for line in out
begin
set find = search line
if not find
begin
continue
end
set soName = call groups at 0
set findStr = string find . -name " + soName + string "
end
... | import os
import re
class CPSO4FF:
def getSOList(self):
pattern = re.compile('(\S+)\s=>\snot found')
out = os.popen('ldd ffmpeg')
for line in out:
find = pattern.search(line)
if not find:
continue
soName = find.groups()[0]
fin... | Python | zaydzuhri_stack_edu_python |
function unpack_state state
begin
return reshape np state tuple shape at 0 1
end function | def unpack_state(state):
return np.reshape(state, (state.shape[0], 1)) | Python | nomic_cornstack_python_v1 |
comment [스택/큐 5번]탑
function solution heights
begin
set answer = list
set index = 1
for i in heights
begin
set receive = heights at slice : index - 1 :
reverse receive
comment print(index,"번째 탑에서 송신,탑 높이: ",i,"수신 탑 높이list :",receive)
if index == 1
begin
append answer 0
end
else
begin
set count = index
for j in receiv... | # [스택/큐 5번]탑
def solution(heights):
answer = []
index = 1
for i in heights:
receive = heights[:index - 1]
receive.reverse()
# print(index,"번째 탑에서 송신,탑 높이: ",i,"수신 탑 높이list :",receive)
if index == 1:
answer.append(0)
else:
count = index
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import torch
import random
set dtype = float
set device = device string cpu
comment Times to run
set epoch = 10000
comment There are 2 inputs
set inputLayerSize = 2
comment NN nodes
set hiddenLayerSize = 3
comment Only one output
set outputLayerSize = 1
comment Learning rate
set L = 0.1
comment There... | import numpy as np
import torch
import random
dtype = torch.float
device = torch.device('cpu')
# Times to run
epoch = 10000
# There are 2 inputs
inputLayerSize = 2
# NN nodes
hiddenLayerSize = 3
# Only one output
outputLayerSize = 1
# Learning rate
L = 0.1
# There are 2 inputs for XOR
X = torch.tensor([[0, 0], [... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment Filename: calculateScore.py
import os
function calcScore fname score
begin
set f = call file string data/ + fname + string /final_result.txt
set fw = call file string data/ + fname + string /score.txt string w
while true
begin
set line = read line f
if length line == 0
begin
break
end
s... | #!/usr/bin/python
# Filename: calculateScore.py
import os
def calcScore(fname,score):
f = file("data/"+fname+"/final_result.txt")
fw = file("data/"+fname+"/score.txt",'w')
while True:
line = f.readline()
if len(line) == 0:
break
colonPos = line.find(":")
startPos = line.find("[")
endPos = line.fi... | Python | zaydzuhri_stack_edu_python |
function load self filename **kwargs
begin
string Load stream and tag information from a file.
set filename = filename
try
begin
set tags = call _IFFID3 filename keyword kwargs
end
except ID3Error
begin
set tags = none
end
try
begin
set fileobj = open filename string rb
set info = call AIFFInfo fileobj
end
finally
begi... | def load(self, filename, **kwargs):
"""Load stream and tag information from a file."""
self.filename = filename
try:
self.tags = _IFFID3(filename, **kwargs)
except ID3Error:
self.tags = None
try:
fileobj = open(filename, "rb")
sel... | Python | jtatman_500k |
function to_path value
begin
set tokens = call to_path_tokens value
if is instance tokens list
begin
set path = list comprehension if expression is instance token PathToken then key else token for token in call to_path_tokens value
end
else
begin
set path = list tokens
end
return path
end function | def to_path(value):
tokens = to_path_tokens(value)
if isinstance(tokens, list):
path = [token.key if isinstance(token, PathToken)
else token
for token in to_path_tokens(value)]
else:
path = [tokens]
return path | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sat Sep 11 21:00:38 2021 @author: Yang-Bin Fan
import pandas as pd
comment To make sure the first row is not thought of as the heading
set dataset = read csv string ./Market_Basket_Optimisation.csv header=none
shape
comment Transforming the list into a list of lists, so t... | # -*- coding: utf-8 -*-
"""
Created on Sat Sep 11 21:00:38 2021
@author: Yang-Bin Fan
"""
import pandas as pd
dataset = pd.read_csv('./Market_Basket_Optimisation.csv', header = None) #To make sure the first row is not thought of as the heading
dataset.shape
#Transforming the list into a list of lists, so that each... | Python | zaydzuhri_stack_edu_python |
function calc_fs_int x R Z
begin
set R1 = R at tuple slice : : slice : - 1 :
set R2 = call roll R at tuple slice : : slice : - 1 : - 1 axis=1
set Z1 = Z at tuple slice : : slice : - 1 :
set Z2 = call roll Z at tuple slice : : slice : - 1 : - 1 axis=1
set x1 = x at tuple slice : : slice : - 1 :
... | def calc_fs_int(x, R, Z):
R1 = R[:, :-1]
R2 = np.roll(R[:, :-1], -1, axis=1)
Z1 = Z[:, :-1]
Z2 = np.roll(Z[:, :-1], -1, axis=1)
x1 = x[:, :-1]
x2 = np.roll(x[:, :-1], -1, axis=1)
dl = np.sqrt((R2 - R1) ** 2 + (Z2 - Z1) ** 2)
R_av = (R1 + R2)/2
dA = dl * (2 * pi * R_av)
x_av =... | Python | nomic_cornstack_python_v1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.