code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function _verifyParameterCounts self endpoints
begin
set expected_params = list string AlexNet/conv1 string AlexNet/conv2 string AlexNet/pool2 string AlexNet/conv3 string AlexNet/pool3 string AlexNet/fc6 string AlexNet/fc7
call assertSetEqual set expected_params set keys endpoints
end function | def _verifyParameterCounts(self, endpoints):
expected_params = [
"AlexNet/conv1",
"AlexNet/conv2",
"AlexNet/pool2",
"AlexNet/conv3",
"AlexNet/pool3",
"AlexNet/fc6",
"AlexNet/fc7",
]
self.assertSetEqual(set(expec... | Python | nomic_cornstack_python_v1 |
while length a > 0
begin
if flag == 1
begin
if a at length a - 1 > a at 0
begin
set alex = alex + a at length a - 1
pop a length a - 1
end
else
begin
set alex = alex + a at 0
pop a 0
end
end
else
if a at length a - 1 > a at 0
begin
set lee = lee + a at length a - 1
pop a length a - 1
end
else
begin
set lee = lee + a at... | while len(a)>0:
if flag==1:
if(a[len(a)-1]>a[0]):
alex+=a[len(a)-1]
a.pop(len(a)-1)
else:
alex+=a[0]
a.pop(0)
else:
if (a[len(a) - 1] > a[0]):
lee+= a[len(a) - 1]
a.pop(len(a) - 1)
else:
lee += a[... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
function outlierCleaner predictions ages net_worths
begin
string Clean away the 10% of points that have the largest residual errors (difference between the prediction and the actual net worth). Return a list of tuples named cleaned_data where each tuple is of the form (age, net_worth, error).
s... | #!/usr/bin/python
def outlierCleaner(predictions, ages, net_worths):
"""
Clean away the 10% of points that have the largest
residual errors (difference between the prediction
and the actual net worth).
Return a list of tuples named cleaned_data where
each tuple is of the ... | Python | zaydzuhri_stack_edu_python |
function _translate__l3vpn_ntw_vpn_services_vpn_service_ie_profiles_ie_profile_vpn_targets input_yang_obj translated_yang_obj=none
begin
for tuple k listInst in call iteritems
begin
set innerobj = call _translate__l3vpn_ntw_vpn_services_vpn_service_ie_profiles_ie_profile_vpn_targets_vpn_target listInst translated_yang_... | def _translate__l3vpn_ntw_vpn_services_vpn_service_ie_profiles_ie_profile_vpn_targets(input_yang_obj,
translated_yang_obj=None):
for k, listInst in input_yang_obj.vpn_target.iteritems():
innerobj = _translate__l3vpn_ntw_v... | Python | nomic_cornstack_python_v1 |
function test_delete_api_resource self mock_delete mock_set_token
begin
set exonet_client = call ExonetClient string kaSD0ffAD1ldSA92A0KODkaksda02KDAK
call delete_api_resource call ApiResource dict string type string dns_records ; string id string qjJWA0Km8xgw
comment Check mock calls.
assert call_count == 1
assert cal... | def test_delete_api_resource(self, mock_delete: Mock, mock_set_token: Mock) -> None:
exonet_client = ExonetClient("kaSD0ffAD1ldSA92A0KODkaksda02KDAK")
exonet_client.delete_api_resource(
ApiResource({"type": "dns_records", "id": "qjJWA0Km8xgw"})
)
# Check mock calls.
... | Python | nomic_cornstack_python_v1 |
import numpy as np
class wiener_class
begin
function __init__ self
begin
return
end function
comment genera la matriz A hermitica basada en el vector de entrada Nx1 y el numero de coeficientes M
comment elegido. resultando en una matriz de M filas y N (N-M) columnas
function generateAHermitica self u M
begin
set col = ... | import numpy as np
class wiener_class:
def __init__(self):
return
# genera la matriz A hermitica basada en el vector de entrada Nx1 y el numero de coeficientes M
# elegido. resultando en una matriz de M filas y N (N-M) columnas
def generateAHermitica(self,u,M):
col=u.size-M
aH=np.zeros... | Python | zaydzuhri_stack_edu_python |
comment Write your function, here.
function remainder num1 num2
begin
return num1 % num2
end function
comment > 1
print call remainder 1 3
comment > 3
print call remainder 3 4
comment > 0
print call remainder 5 5
comment > 1
print call remainder 7 2 | # Write your function, here.
def remainder(num1, num2):
return num1 % num2
print(remainder(1, 3)) # > 1
print(remainder(3, 4)) # > 3
print(remainder(5, 5)) # > 0
print(remainder(7, 2)) # > 1
| Python | zaydzuhri_stack_edu_python |
function randiter iterable
begin
string Create an iterator that yields random elements from the iterable object *iterable*. It expects the iterable object to implement __getitem__ and __len__.
set iter_len = length iterable
for index in call xrandrange iter_len
begin
yield iterable at index
end
end function | def randiter(iterable):
'''
Create an iterator that yields random elements from the iterable object
*iterable*. It expects the iterable object to implement __getitem__ and __len__.'''
iter_len = len(iterable)
for index in xrandrange(iter_len):
yield iterable[index] | Python | jtatman_500k |
comment IMPORTS#######
from global_vars import *
comment FUNCTION DEFINITIONS#########
function instantiate_file
begin
set charge_file_path = LOCAL_LOCUS_PATH + string data/dca/Charges_10_21.csv
set df = read csv charge_file_path
set df = rename columns=dict string Violation Date string CHRG Date
set df at string Conta... | #######IMPORTS#######
from global_vars import *
#######FUNCTION DEFINITIONS#########
def instantiate_file():
charge_file_path = LOCAL_LOCUS_PATH + "data/dca/Charges_10_21.csv"
df = pd.read_csv(charge_file_path)
df = df.rename(columns={"Violation Date": "CHRG Date"})
df['Contact Phone'] ... | Python | zaydzuhri_stack_edu_python |
comment 同样首先，我们调用模块
comment matplotlib是python专门用于画图的库
import matplotlib.pyplot as plt
comment SK 样本数据
from sklearn import datasets
comment 导入 数据集（波士顿房间数据）
set loaded_data = call load_boston
comment 导入所有特征变量
set x_data = data
comment 导入目标值（房价）
set y_data = target
set name_data = feature_names
print string --类型---
commen... | #同样首先，我们调用模块
# matplotlib是python专门用于画图的库
import matplotlib.pyplot as plt
# SK 样本数据
from sklearn import datasets
# 导入 数据集（波士顿房间数据）
loaded_data = datasets.load_boston()
x_data = loaded_data.data # 导入所有特征变量
y_data = loaded_data.target # 导入目标值（房价）
name_data = loaded_data.feature_names
print("... | Python | zaydzuhri_stack_edu_python |
function test_toffoli self target_wire
begin
set control_wires = list range 3
del control_wires at target_wire
comment pick some random unitaries (with a fixed seed) to make the circuit less trivial
set U1 = call rvs 8 random_state=1
set U2 = call rvs 8 random_state=2
set dev = device string default.qubit wires=3
decor... | def test_toffoli(self, target_wire):
control_wires = list(range(3))
del control_wires[target_wire]
# pick some random unitaries (with a fixed seed) to make the circuit less trivial
U1 = unitary_group.rvs(8, random_state=1)
U2 = unitary_group.rvs(8, random_state=2)
dev =... | Python | nomic_cornstack_python_v1 |
function tag_and_enqueue_add infojsonfile source_file output_directory created_futures add_pool rmtrash_pool
begin
comment fs sync?
sleep 3
with open as jsonfile
begin
debug string opening json file
set ytdl_update_dict = load json jsonfile encoding=string utf-8
end
set kind2 = call Atom string Media Kind JSON_TV_SHOW_... | def tag_and_enqueue_add(
infojsonfile: Path,
source_file: Path,
output_directory: Path,
created_futures: List[Any],
add_pool: ThreadPoolExecutor,
rmtrash_pool: ThreadPoolExecutor,
) -> None:
time.sleep(3) # fs sync?
with infojsonfile.open() as jsonfile:
logger.debug("opening jso... | Python | nomic_cornstack_python_v1 |
function icursor self index
begin
return call _w string icursor index
end function | def icursor(self, index):
return self.tk.call(self._w, 'icursor', index) | Python | nomic_cornstack_python_v1 |
comment #变量创建过程：
comment 先申请一块存储空间来存储数据
comment 将变量名指向这一块空间
set name = string old-data
print string name addr call id name
set name2 = name
print string name2 addr call id name2
comment ************#
set data3 = string old
set data4 = data3
print data3 call id data3 string data4 call id data4
set data3 = string new
pr... | # #变量创建过程：
# 先申请一块存储空间来存储数据
# 将变量名指向这一块空间
name="old-data"
print("name addr",id(name))
name2=name
print("name2 addr",id(name2))
#************#
data3="old"
data4=data3
print(data3,id(data3)," ",data4,id(data4))
data3="new"
print(data3,id(data3)," ",data4,id(data4))
# output:
# name addr 2215906459952
# na... | Python | zaydzuhri_stack_edu_python |
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from skimage.util import view_as_blocks
from skimage.transform import rescale
from skimage.io import imsave
function plot_image image factor=1.0 clip_range=none figsize=tuple 15 15 **kwargs
begin
string Utility function for plotting RGB images.... | from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from skimage.util import view_as_blocks
from skimage.transform import rescale
from skimage.io import imsave
def plot_image(image, factor=1.0, clip_range=None, figsize=(15, 15), **kwargs):
"""
Utility function for plotting RGB images.
... | Python | zaydzuhri_stack_edu_python |
string def listsum(numList): if len(numList) == 1: return numList[0] else: return numList[0] + listsum(numList[1:len(numList)]) numList = [1,2,3,4] print numList[1:len(numList)] print listsum(numList) def toStr(n,base): convString = "0123456789ABCDEF" if n < base: return convString[n] else: return toStr(n//base,base) +... | '''
def listsum(numList):
if len(numList) == 1:
return numList[0]
else:
return numList[0] + listsum(numList[1:len(numList)])
numList = [1,2,3,4]
print numList[1:len(numList)]
print listsum(numList)
def toStr(n,base):
convString = "0123456789ABCDEF"
if ... | Python | zaydzuhri_stack_edu_python |
class BankAccount
begin
function __init__ self interest_rate balance=0
begin
set balance = balance
set interest_rate = interest_rate
end function
function deposit self amount
begin
set balance = balance + amount
return self
end function
function withdraw self amount
begin
if balance >= amount
begin
set balance = balanc... | class BankAccount:
def __init__(self, interest_rate, balance=0):
self.balance = balance
self.interest_rate = interest_rate
def deposit(self, amount):
self.balance += amount
return self
def withdraw(self, amount):
if self.balance >= amount:
self.balan... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
comment -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
class Brain extends object
begin
function __init__ self scope env gamma=0.99 learning_rate=0.003 epsilon=0.1 output_graph=false
begin
set n_states = n_states
set n_actions = n_actions
set gamma = gamma
set learning_ra... | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
class Brain(object):
def __init__(self, scope, env, gamma=0.99, learning_rate=0.003,
epsilon=0.1, output_graph=False):
self.n_states = env.n_states
self.n_actions = env.n_actions
sel... | Python | zaydzuhri_stack_edu_python |
comment !/usr/local/bin/python
import os
import csv
function file_name file_dir
begin
set list = list
for tuple root dirs files in walk file_dir
begin
for file in files
begin
append list file
end
end
return list
end function
function readData list
begin
for file in list
begin
set csv_file = reader open string /Volumes... | #!/usr/local/bin/python
import os
import csv
def file_name(file_dir):
list = []
for root, dirs, files in os.walk(file_dir):
for file in files:
list.append(file)
return list
def readData(list):
for file in list:
csv_file = csv.reader(open('/Volumes/Code/code_archive/yellowp... | Python | zaydzuhri_stack_edu_python |
string 本模块的功能为创建FP_growth树 aythor：胡觉文 直接调用网络创建模块 辅助（弃用）
import reader
class treeNode
begin
function __init__ self nameValue numOccur parentNode
begin
set name = nameValue
set count = numOccur
set nodeLink = none
set parent = parentNode
set children = dict
end function
function inc self numOccur
begin
set count = count... | '''
本模块的功能为创建FP_growth树
aythor：胡觉文
直接调用网络创建模块
辅助（弃用）
'''
import reader
class treeNode:
def __init__(self, nameValue, numOccur, parentNode):
self.name = nameValue
self.count = numOccur
self.nodeLink = None
self.parent = parentNode
self.children = {}
def inc(self, numOccu... | Python | zaydzuhri_stack_edu_python |
from cmath import exp
from math import pi
import numpy as np
from time import time
import random
class FastBigNum
begin
function __init__ self x
begin
set x = x
end function
function __mul__ self y
begin
set tuple a b = call prepare self y
return call multiply a b
end function
function __str__ self
begin
return string ... | from cmath import exp
from math import pi
import numpy as np
from time import time
import random
class FastBigNum:
def __init__(self, x):
self.x = x
def __mul__(self,y):
a,b = prepare(self,y)
return multiply(a,b)
def __str__(self):
return str(self.x)
def omega(k,n):
retu... | Python | zaydzuhri_stack_edu_python |
function normal_kl mean stddev eps=1e-08
begin
set var = call square stddev
set kl = 0.5 * call reduce_sum call square mean + var - 1.0 - log var + eps
return kl
end function | def normal_kl(mean, stddev, eps=1e-8):
var = tf.square(stddev)
kl = 0.5*tf.reduce_sum(tf.square(mean)+var-1.-tf.log(var+eps))
return kl | Python | nomic_cornstack_python_v1 |
comment 文件处理的3步操作（打开、读取及关闭）
comment 切记：下面的慕容飞儿文件必须与此文件在同级目录下
comment 打开文件
set f = open string 慕容飞儿 encoding=string utf-8
comment data = f.read()
comment print(data)
comment f.close() #打开之后必须要关闭文件，不然会不停的占系统内存
comment readline用法
comment data = f.readline()
comment print('第一次打印：',data)
comment print('第二次打印：',data)
comment... | # 文件处理的3步操作（打开、读取及关闭）
# 切记：下面的慕容飞儿文件必须与此文件在同级目录下
# 打开文件
f = open('慕容飞儿',encoding='utf-8')
# data = f.read()
# print(data)
# f.close() #打开之后必须要关闭文件，不然会不停的占系统内存
# readline用法
# data = f.readline()
# print('第一次打印：',data)
# print('第二次打印：',data)
# print('第三次打印：',data)
# readlines用法
data = f.readlines()
print('第一次打印：',d... | Python | zaydzuhri_stack_edu_python |
function open self
begin
set port = name
set timeout = ser_rtimeout
set write_timeout = ser_wtimeout
set inter_byte_timeout = ser_itimeout
set parity = ser_parity
set baudrate = ser_baudrate
set bytesize = ser_bytesize
set stopbits = ser_stopbits
set xonxoff = ser_xonxoff
set dsrdtr = ser_dsrdtr
set rtscts = ser_rtscts... | def open(self):
self.serial.port = self.name
self.serial.timeout = self.ctrl_client.ser_rtimeout
self.serial.write_timeout = self.ctrl_client.ser_wtimeout
self.serial.inter_byte_timeout = self.ctrl_client.ser_itimeout
self.serial.parity = self.ctrl_client.ser_parity
self.serial.baudrate = self.c... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu Jan 23 11:31:12 2020 @author: thomas
comment Power/Recovery: Qualitative Figure
comment We will be showing the power and recovery locations for swimmers of different Re
comment We can either show it using v_CM or by showing y_CM. What wil... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 23 11:31:12 2020
@author: thomas
"""
#Power/Recovery: Qualitative Figure
#We will be showing the power and recovery locations for swimmers of different Re
#We can either show it using v_CM or by showing y_CM. What will be used is tbd
#Power/Recover... | Python | zaydzuhri_stack_edu_python |
function get_team_info self id
begin
set params = dict string key key ; string start_at_team_id id ; string teams_requested 1
set r = get requests TEAM_URL params=params
return call TeamResponse json r at string result at string teams at 0
end function | def get_team_info(self, id):
params = {'key': self.key, 'start_at_team_id': id,
'teams_requested': 1}
r = requests.get(self.TEAM_URL, params=params)
return TeamResponse(r.json()['result']['teams'][0]) | Python | nomic_cornstack_python_v1 |
function list_nodes_full conn=none call=none
begin
string Return a list of VMs with all the information about them CLI Example .. code-block:: bash salt-cloud -f list_nodes_full myopenstack
if call == string action
begin
raise call SaltCloudSystemExit string The list_nodes_full function must be called with -f or --func... | def list_nodes_full(conn=None, call=None):
'''
Return a list of VMs with all the information about them
CLI Example
.. code-block:: bash
salt-cloud -f list_nodes_full myopenstack
'''
if call == 'action':
raise SaltCloudSystemExit(
'The list_nodes_full function mus... | Python | jtatman_500k |
comment !/usr/bin/env python
comment _*_ coding: utf-8 _*_
string Problem: Find the sum of the digits in the number 100!
function factors n
begin
if n == 1
begin
return n
end
else
begin
return n * call factors n - 1
end
end function
function sum_of_factors n
begin
return sum list comprehension integer c for c in string... | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
"""
Problem:
Find the sum of the digits in the number 100!
"""
def factors(n):
if n == 1:
return n
else:
return n * factors(n-1)
def sum_of_factors(n):
return sum([int(c) for c in str(factors(n)) if c.isdigit()])
| Python | zaydzuhri_stack_edu_python |
function find_donor name
begin
for donor in donor_db
begin
comment do a case-insensitive compare
if lower strip name == lower donor at 0
begin
return donor
end
end
return none
end function | def find_donor(name):
for donor in OO_mailroom.Donor.donor_db:
# do a case-insensitive compare
if name.strip().lower() == donor[0].lower():
return donor
return None | Python | nomic_cornstack_python_v1 |
function as_bullets value options=string
begin
if options == string
begin
set max = 10
end
else
begin
set tokens = split options string ,
set max = integer tokens at 0
end
set one = string <i class="fas fa-circle fa-xs" title="%d"></i> % value
set blank = string <i class="fas fa-circle fa-xs blank" title="%d"></i> % v... | def as_bullets(value, options=''):
if options == '':
max = 10
else:
tokens = options.split(',')
max = int(tokens[0])
one = '<i class="fas fa-circle fa-xs" title="%d"></i>'%(value)
blank = '<i class="fas fa-circle fa-xs blank" title="%d"></i>'%(value)
x = 0
res = ''
wh... | Python | nomic_cornstack_python_v1 |
function user_agent name version
begin
string Return User-Agent ~ "name/version language/version interpreter/version os/version".
function _interpreter
begin
set name = call python_implementation
set version = call python_version
set bitness = call architecture at 0
if name == string PyPy
begin
set version = join strin... | def user_agent(name, version):
"""Return User-Agent ~ "name/version language/version interpreter/version os/version"."""
def _interpreter():
name = platform.python_implementation()
version = platform.python_version()
bitness = platform.architecture()[0]
if name == 'PyPy':
... | Python | jtatman_500k |
function naive_primality integer
begin
set prime = true
if integer <= 1
begin
set prime = false
end
else
begin
for i in range 2 integer
begin
if integer % i == 0
begin
set prime = false
end
end
end
return prime
end function | def naive_primality(integer):
prime = True
if integer <= 1:
prime = False
else:
for i in range(2, integer):
if integer % i == 0:
prime = False
return prime | Python | nomic_cornstack_python_v1 |
function setUp self
begin
set client = call Client
set user = call create_user string testuser string test@user.com string q2w3E$R%
set meter = call create meter_name=string testmeter meter_unit=string X
save
set reading = call create meter=meter reading=100 date=call date remark=string test reading
save
end function | def setUp(self):
self.client = Client()
self.user = User.objects.create_user('testuser', 'test@user.com', 'q2w3E$R%')
self.meter = Meter.objects.create(meter_name='testmeter', meter_unit='X')
self.meter.save()
reading = Reading.objects.create(meter=self.meter,
... | Python | nomic_cornstack_python_v1 |
function from_tibiadata cls content
begin
string Builds a character object from a TibiaData character response. Parameters ---------- content: :class:`str` The JSON content of the response. Returns ------- :class:`Character` The character contained in the page, or None if the character doesn't exist Raises ------ Inval... | def from_tibiadata(cls, content):
"""Builds a character object from a TibiaData character response.
Parameters
----------
content: :class:`str`
The JSON content of the response.
Returns
-------
:class:`Character`
The character contained i... | Python | jtatman_500k |
comment Importing Modules
import pygame , random , time , os , sys
from pygame.locals import *
call init
comment Set-Up - Dimensions, Fullscreen, caption, time
set screen = call set_mode tuple 1920 1080 FULLSCREEN
call set_caption string Faction Wars
set clock = call Clock
comment Images
set playerImg = load image join... | ##Importing Modules
import pygame, random, time, os, sys
from pygame.locals import *
pygame.init()
#Set-Up - Dimensions, Fullscreen, caption, time
screen = pygame.display.set_mode((1920, 1080), pygame.FULLSCREEN)
pygame.display.set_caption("Faction Wars")
clock = pygame.time.Clock()
#Images
playerImg = pygame.image.... | Python | zaydzuhri_stack_edu_python |
function step_sample self
begin
set tuple n p = shape
append null_sample at which_var sum
set sigma_resid = sigma_resid
set quadratic_term = 1.0 / sigma_resid ^ 2 + 1.0 / rough_sigma * sd_inter ^ 2
set sampling_sd = 1.0 / square root quadratic_term
set sampling_mean = Y_inter * 1.0 / rough_sigma * sd_inter ^ 2 / quadra... | def step_sample(self):
n, p = self.X.shape
self.null_sample[self.which_var].append((self._X_j * self.Y_sample).sum())
sigma_resid = self.sigma_resid
quadratic_term = 1. / sigma_resid**2 + 1. / (self.rough_sigma * self.sd_inter)**2
sampling_sd = 1. / np.sqrt(quadratic_term)
... | Python | nomic_cornstack_python_v1 |
from mathematicians import simple_get
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import re
import threading
function read_data name variables
begin
string Reads the csv file under the 'name' and places it into a dataframe Parameters: name of csv file Returns: dataframe
set df = read csv name... | from mathematicians import simple_get
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import re
import threading
def read_data(name, variables):
"""
Reads the csv file under the 'name' and places it into a dataframe
Parameters: name of csv file
Returns: dataframe
"""
df ... | Python | zaydzuhri_stack_edu_python |
function combine self boundingBox
begin
return boolean
end function | def combine(self, boundingBox):
return bool() | Python | nomic_cornstack_python_v1 |
comment !usr/bin/env/python3
from flask import Flask
from flask_restful import Api , Resource , reqparse
from fuzzywuzzy import process
from string import punctuation , whitespace , digits
from flask_cors import CORS
from redisworks import Root
import logging
from typing import Dict , List , Set
set app = call Flask __... | #!usr/bin/env/python3
from flask import Flask
from flask_restful import Api, Resource, reqparse
from fuzzywuzzy import process
from string import punctuation, whitespace, digits
from flask_cors import CORS
from redisworks import Root
import logging
from typing import Dict, List, Set
app = Flask(__name__)
api = Api(app... | Python | zaydzuhri_stack_edu_python |
async function publish self request
begin
try
begin
set json_data = dict string name get form string name ; string email get form string email ; string message get form string message ; string digest get form string digest
set json_string = dumps json_data
set encoded = base64 encode encode json_string string utf-8
set... | async def publish(self, request):
try:
json_data = {'name': request.form.get('name'),
'email': request.form.get('email'),
'message': request.form.get('message'),
'digest': request.form.get('digest')}
json_string ... | Python | nomic_cornstack_python_v1 |
comment public.
function error self value
begin
comment Input validation in public method should be done first.
if is instance value str is true
begin
set _error = value
end
else
begin
raise call _K2hr3UserAgentError format string error should be str, not {} value
end
end function | def error(self, value: str) -> None: # public.
# Input validation in public method should be done first.
if isinstance(value, str) is True:
self._error = value
else:
raise _K2hr3UserAgentError(
'error should be str, not {}'.format(value)) | Python | nomic_cornstack_python_v1 |
function parse_ip4_netmask octets
begin
set size = 0
set index = 0
for octet in octets
begin
comment ensure no gaps between octets
if not index * 8 == size and not octet == 0
begin
return false
end
set index = index + 1
if octet == 255
begin
set size = size + 8
end
else
if octet == 254
begin
set size = size + 7
end
els... | def parse_ip4_netmask(octets):
size = 0
index = 0
for octet in octets:
# ensure no gaps between octets
if not index * 8 == size and not octet == 0:
return False
index += 1
if octet == 255:
size += 8
elif octet == 254:
size += 7
... | Python | nomic_cornstack_python_v1 |
import sys
import math
from PyQt5.QtWidgets import QWidget , QLabel , QLineEdit , QPushButton , QComboBox , QApplication
class Example extends QWidget
begin
function __init__ self
begin
call __init__
call initUI
end function
function initUI self
begin
set lbl = call QLabel string self
set combo = call QComboBox self
c... | import sys
import math
from PyQt5.QtWidgets import (QWidget, QLabel, QLineEdit, QPushButton, QComboBox, QApplication)
class Example(QWidget):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.lbl = QLabel("", self)
self.combo = QComboBox(self)
... | Python | zaydzuhri_stack_edu_python |
comment Authors:
comment uniqnames:
comment Date:
comment Purpose:
comment Description:
import sys
import math
import csv
import measures
string Requires: data is a list of numbers Modifies: nothing Effects: returns the average of the numbers in data
function mean data
begin
pass
end function
string Requires: data is a... | # Authors:
# uniqnames:
# Date:
# Purpose:
# Description:
import sys
import math
import csv
import measures
"""
Requires: data is a list of numbers
Modifies: nothing
Effects: returns the average of the numbers in data
"""
def mean(data):
pass
"""
Requires: data is a list of numbers
Modifies: nothing
Effects: retur... | Python | zaydzuhri_stack_edu_python |
function _get_igraph G edge_weights=none node_weights=none
begin
if type edge_weights == str
begin
set edge_weights = list edge_weights
end
if type node_weights == str
begin
set node_weights = list node_weights
end
set G = copy G
set G = call convert_node_labels_to_integers G
set Gig = call Graph directed=true
call add... | def _get_igraph(G, edge_weights=None, node_weights=None):
if type(edge_weights) == str:
edge_weights = [edge_weights]
if type(node_weights) == str:
node_weights = [node_weights]
G = G.copy()
G = nx.relabel.convert_node_labels_to_integers(G)
Gig = ig.Graph(directed=True)
G... | Python | nomic_cornstack_python_v1 |
function load_docker_cache tag docker_registry
begin
string Imports tagged container from the given docker registry
if docker_registry
begin
comment noinspection PyBroadException
try
begin
import docker_cache
info string Docker cache download is enabled from registry %s docker_registry
call load_docker_cache registry=d... | def load_docker_cache(tag, docker_registry) -> None:
"""Imports tagged container from the given docker registry"""
if docker_registry:
# noinspection PyBroadException
try:
import docker_cache
logging.info('Docker cache download is enabled from registry %s', docker_registr... | Python | jtatman_500k |
function name self
begin
return _name
end function | def name(self):
return self._name | Python | nomic_cornstack_python_v1 |
function writeFitsHeader filename model inc pa azi
begin
set tuple data header = call getdata filename header=true
set header at string DISTANCE = tuple distance string Distance in parsec.
set header at string CHEMMOD = tuple split fn string / at - 1 string Chemical model used.
set header at string INC = tuple inc stri... | def writeFitsHeader(filename, model, inc, pa, azi):
data, header = fits.getdata(filename, header=True)
header['DISTANCE'] = model.distance, 'Distance in parsec.'
header['CHEMMOD'] = model.header.fn.split('/')[-1], 'Chemical model used.'
header['INC'] = inc, 'Inclianation in radians.'
header['PA'] = ... | Python | nomic_cornstack_python_v1 |
class Solution
begin
function calculateMinimumHP self dungeon
begin
string :type dungeon: List[List[int]] :rtype: int
if not dungeon
begin
return 0
end
set rowLen = length dungeon
set colLen = length dungeon at 0
set minReq = list 1 * colLen
comment minReq = [[1]*colLen]*rowLen
comment print (minReq)
comment store mini... | class Solution:
def calculateMinimumHP(self, dungeon):
"""
:type dungeon: List[List[int]]
:rtype: int
"""
if not dungeon:
return 0
rowLen = len(dungeon)
colLen = len(dungeon[0])
minReq = [1]*colLen
#minReq = [[1]*colLen]*rowLen
... | Python | zaydzuhri_stack_edu_python |
function findAndSubtractBackground self radius offset iterations skipLimit
begin
set imp = call getImage
set ip = call getProcessor
set width = call getWidth
set height = call getHeight
set stats = call getStatistics
set histogram = call histogram
set ratio = histogram at 0 / width * height * 1.0
if ratio > skipLimit
b... | def findAndSubtractBackground(self, radius, offset, iterations, skipLimit):
imp = IJ.getImage()
ip = imp.getProcessor()
width = imp.getWidth()
height = imp.getHeight()
stats = imp.getStatistics()
histogram = stats.histogram()
ratio = histogram[0] / ((width * heigh... | Python | nomic_cornstack_python_v1 |
function common a b c
begin
set res = list
for i in list set a
begin
if i in b and i in c
begin
append res i
end
end
return res
end function
set a = list 1 5 10 20 40 80 20
set b = list 6 7 20 80 100
set c = list 3 4 15 20 30 70 80 120
print call common a b c | def common(a,b,c):
res = []
for i in list(set(a)):
if i in b and i in c:
res.append(i)
return res
a = [1,5,10,20,40,80,20]
b = [6,7,20,80,100]
c = [3,4,15,20,30,70,80,120]
print(common(a,b,c))
| Python | zaydzuhri_stack_edu_python |
function destroy self
begin
call destroy self
comment iterates over the complete set of associated streams to close
comment them as the parser is now going to be destroyed and they cannot
comment be reached any longer (invalidated state)
set streams = values legacy streams
for stream in streams
begin
close stream
end
s... | def destroy(self):
parser.Parser.destroy(self)
# iterates over the complete set of associated streams to close
# them as the parser is now going to be destroyed and they cannot
# be reached any longer (invalidated state)
streams = netius.legacy.values(self.streams)
... | Python | nomic_cornstack_python_v1 |
function save_numpy_array_to_csv template l data
begin
comment Create the file path of the results file
set fp_r_f = call create_fp_file template l string r
comment Write the data to the results file
call savetxt fp_r_f data delimiter=string ,
print format string {}.csv saved l
return
end function | def save_numpy_array_to_csv(
template,
l: str,
data: numpy.array,
) -> None:
# Create the file path of the results file
fp_r_f = create_fp_file(template, l, "r")
# Write the data to the results file
numpy.savetxt(fp_r_f, data, delimiter = ",")
print("{}.csv saved".form... | Python | nomic_cornstack_python_v1 |
import functools
import itertools
import logging
from operator import or_
from typing import Tuple , Any , Callable , Union
from bases.mixins import BinaryOp
from bases.util import type_checking
comment TODO
class ParsingError extends Exception
begin
pass
end class
class Parser extends object
begin
function __init__ se... | import functools
import itertools
import logging
from operator import or_
from typing import Tuple, Any, Callable, Union
from bases.mixins import BinaryOp
from bases.util import type_checking
# TODO
class ParsingError(Exception):
pass
class Parser(object):
def __init__(self, fn=None):
self.fn = fn
... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
comment Day 10 - Elves Look, Elves Say
import re , itertools
set gs = compile string ((\d)(?:\2*))
function gen_seq inpt
begin
while true
begin
set inpt = join string generator expression string length seq + ch for tuple seq ch in find all inpt
yield inpt
end
end function
function main
be... | #! /usr/bin/env python
# Day 10 - Elves Look, Elves Say
import re, itertools
gs = re.compile(r'((\d)(?:\2*))')
def gen_seq(inpt):
while True:
inpt = ''.join(str(len(seq)) + ch for seq, ch in gs.findall(inpt))
yield inpt
def main():
for index, result in enumerate(itertools.islice(gen_seq('3113322113'), 50)):
... | Python | zaydzuhri_stack_edu_python |
function plusMinus arr
begin
set ap = list comprehension i for i in arr if i > 0
set an = list comprehension i for i in arr if i < 0
set az = list comprehension i for i in arr if i == 0
set apl = decimal length ap
set anl = decimal length an
set azl = decimal length az
set arrl = decimal length arr
print apl / arrl
pri... | def plusMinus(arr):
ap = [i for i in arr if i > 0]
an = [i for i in arr if i < 0]
az = [i for i in arr if i == 0]
apl = float(len(ap))
anl = float(len(an))
azl = float(len(az))
arrl = float(len(arr))
print(apl / arrl)
print(anl / arrl)
print(azl / arrl)
"""
LIST = [0, None, 2, ... | Python | zaydzuhri_stack_edu_python |
function __init__ self
begin
call __init__ self
call subscribe _eventGen _wakeUp self
end function | def __init__(self):
Strategy.__init__(self)
event.subscribe(self._eventGen, _(self)._wakeUp, self) | Python | nomic_cornstack_python_v1 |
comment __author__ = 'sergejyurskyj'
comment # NOTE: in the following, you must use "dbm" instead of "anydbm"
comment # in Python 3.X (this module was renamed in 3.X only). Also note
comment # that these are incomplete, partial examples as is.
comment """
comment import anydbm
comment file = anydbm.open("filename") # L... | # __author__ = 'sergejyurskyj'
#
#
# # NOTE: in the following, you must use "dbm" instead of "anydbm"
# # in Python 3.X (this module was renamed in 3.X only). Also note
# # that these are incomplete, partial examples as is.
# """
# import anydbm
# file = anydbm.open("filename") # Link to file
# file['key'] = 'data... | Python | zaydzuhri_stack_edu_python |
function train self num_epochs=10 train_relative=0.95
begin
set tuple xx yy = call load_training_data
comment reshape for non-LSTM-like input
comment xx = xx.reshape((xx.shape[0], -1))
comment split into x and y, train and test sets
set train_size = integer length xx * train_relative
set x_train = xx at slice : train_... | def train(self, num_epochs: int = 10, train_relative: float = 0.95) -> None:
xx, yy = self.load_training_data()
# reshape for non-LSTM-like input
# xx = xx.reshape((xx.shape[0], -1))
# split into x and y, train and test sets
train_size = int(len(xx) * train_relative)
x... | Python | nomic_cornstack_python_v1 |
function set_default_tick self tick=0
begin
comment make sure the tick value is within range
if 0 <= tick < length _ticklist
begin
call set_tick tick
set _tick_default = tick
comment TODO not sure if this is needed any more
set _handle_default = _handle_pos
end
else
begin
raise call ValueError string The tick value is ... | def set_default_tick(self, tick=0):
if 0 <= tick < len(self._ticklist): # make sure the tick value is within range
self.set_tick(tick)
self._tick_default = tick
self._handle_default = self._handle_pos # TODO not sure if this is needed any more
else:
rais... | Python | nomic_cornstack_python_v1 |
function trainAndTune self trainingData trainingLabels validationData validationLabels Cgrid
begin
string *** YOUR CODE HERE ***
end function
comment Begin timer | def trainAndTune(self, trainingData, trainingLabels, validationData, validationLabels, Cgrid):
"*** YOUR CODE HERE ***"
# Begin timer | Python | nomic_cornstack_python_v1 |
function test_interface_addresses bf sot
begin
set interface_props = call frame
for tuple _ row in call iterrows
begin
set interface_name = interface
if not row at string Active or row at string Access_VLAN or row at string Description == string [type=ISP] or interface_name in INTERFACES_WITHOUT_ADDRESS
begin
continue
... | def test_interface_addresses(bf: Session, sot: SoT) -> None:
interface_props = bf.q.interfaceProperties(nodes=SNAPSHOT_NODES_SPEC).answer().frame()
for _, row in interface_props.iterrows():
interface_name = row["Interface"].interface
if not row["Active"] or \
row["Access_VLAN"] ... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
function main
begin
set limit = 100
set ways = list comprehension 0 for _ in range limit + 1
set ways at 0 = 1
for n in range 1 limit
begin
for m in range n limit + 1
begin
set ways at m = ways at m + ways at m - n
end
end
print ways at 100
end function
if __name__ == string __main__
begin... | #!/usr/bin/env python3
def main():
limit = 100
ways = [0 for _ in range(limit + 1)]
ways[0] = 1
for n in range(1, limit):
for m in range(n, limit + 1):
ways[m] += ways[m - n]
print(ways[100])
if __name__ == '__main__':
main()
| Python | zaydzuhri_stack_edu_python |
function plot self *args **kwargs
begin
if plotter is none
begin
raise call NotImplementedError string This NDCube object does not have a .plotter defined so no default plotting functionality is available.
end
return plot *args keyword kwargs
end function | def plot(self, *args, **kwargs):
if self.plotter is None:
raise NotImplementedError(
"This NDCube object does not have a .plotter defined so "
"no default plotting functionality is available.")
return self.plotter.plot(*args, **kwargs) | Python | nomic_cornstack_python_v1 |
function forward self datax datay Ns Nc Nq total_classes
begin
set k = shape at 0
set K = random choice total_classes Nc replace=false
set Query_x = tensor
if gpu
begin
set Query_x = cuda Query_x
end
set Query_y = list
set Query_y_count = list
set centroid_per_class = dict
set class_label = dict
set label_encoding ... | def forward(self, datax, datay, Ns, Nc, Nq, total_classes):
k = total_classes.shape[0]
K = np.random.choice(total_classes, Nc, replace=False)
Query_x = torch.Tensor()
if(self.gpu):
Query_x = Query_x.cuda()
Query_y = []
Query_y_count = []
centroid_per_c... | Python | nomic_cornstack_python_v1 |
comment 用于计算两个数的和
string def sum(x,y): """ 用于计算两个数的和""" return x + y sum2 = lambda x,y:x+y print(sum(1,2)) print(sum2(1,9)) print(sum2) # 通过lambda表达式简化代码 # lambda 可以所谓一个函数的参数 def go_home(callback): print("开始执行") callback(); print("完成执行") # fn = lambda : print("lmbda函数") go_home(lambda : print("lmbda函数"))
string def max... | # 用于计算两个数的和
'''
def sum(x,y):
""" 用于计算两个数的和"""
return x + y
sum2 = lambda x,y:x+y
print(sum(1,2))
print(sum2(1,9))
print(sum2)
# 通过lambda表达式简化代码
# lambda 可以所谓一个函数的参数
def go_home(callback):
print("开始执行")
callback();
print("完成执行")
# fn = lambda : print("lmbda函数")
go_home(lambda : print("lmbda函数... | Python | zaydzuhri_stack_edu_python |
function onZoomOut self event
begin
call zoomOut event
end function | def onZoomOut(self, event):
self.plotter.zoomOut(event) | Python | nomic_cornstack_python_v1 |
function PlotBayes2D bayes=list dev=list N_bayes=1 x=list y=list xlabel=string ylabel=string P_min=1e-05 graphs=false plane=false ax=none posterior=false
begin
if ax is none
begin
set tuple fig ax = call subplots
end
if posterior
begin
set P_label = string P/P_{\rm max}
end
else
begin
set P_label = string \mathca... | def PlotBayes2D( bayes=[], dev=[], N_bayes=1, x=[], y=[], xlabel='', ylabel='', P_min=1e-5, graphs=False, plane=False, ax=None, posterior=False ):
if ax is None:
fig, ax = plt.subplots()
if posterior:
P_label = r"P/P_{\rm max}"
else:
P_label = r"\mathcal{B}/\mathcal{B}_{\rm... | Python | nomic_cornstack_python_v1 |
function __init__ self amount date receipt place preturi bunuri
begin
set __amount = call __parse_data amount
set __date = date
set __receipt = call __parse_data receipt
set __place = list call __parse_data place at 0
set __preturi = call __parse_data preturi
set __bunuri = call __parse_data bunuri
set __completa = cal... | def __init__(self, amount, date, receipt, place, preturi, bunuri):
self.__amount = Data.__parse_data(amount)
self.__date = date
self.__receipt = Data.__parse_data(receipt)
self.__place = [Data.__parse_data(place)[0]]
self.__preturi = Data.__parse_data(preturi)
self.__bunu... | Python | nomic_cornstack_python_v1 |
function time_stats df
begin
print string Calculating The Most Frequent Times of Travel...
set start_time = time
comment TO DO: display the most common month
set popular_month = mode at 0
set popular_month_name = valid_month at popular_month
print format string The most common month in dataset is {} popular_month_name
... | def time_stats(df):
print('\nCalculating The Most Frequent Times of Travel...\n')
start_time = time.time()
# TO DO: display the most common month
popular_month = df['month'].mode()[0]
popular_month_name = valid_month[popular_month]
print("The most common month in dataset is {}".format(popu... | Python | nomic_cornstack_python_v1 |
import turtle
call speed 5
call bgcolor string black
call pencolor string white
call penup
comment setting start pos
call left 135
call forward 60
call right 90
comment Start A fill
call pendown
call forward 60
call right 45
call forward 85
call left 45
call forward 60
call left 135
call forward 170
call left 45
call f... | import turtle
turtle.speed(5)
turtle.bgcolor("black")
turtle.pencolor("white")
turtle.penup()
#setting start pos
turtle.left(135)
turtle.forward(60)
turtle.right(90)
#Start A fill
turtle.pendown()
turtle.forward(60)
turtle.right(45)
turtle.forward(85)
turtle.left(45)
turtle.forward(60)
turtle.left(135)
turtle.forwa... | Python | zaydzuhri_stack_edu_python |
function update self
begin
string Calculate the smoothing parameter value. The following example is explained in some detail in module |smoothtools|: >>> from hydpy.models.dam import * >>> parameterstep() >>> highestremotedischarge(1.0) >>> highestremotetolerance(0.0) >>> derived.highestremotesmoothpar.update() >>> fro... | def update(self):
"""Calculate the smoothing parameter value.
The following example is explained in some detail in module
|smoothtools|:
>>> from hydpy.models.dam import *
>>> parameterstep()
>>> highestremotedischarge(1.0)
>>> highestremotetolerance(0.0)
... | Python | jtatman_500k |
import requests
import re
import logging
from pyquery import PyQuery as pq
import json
import icalendar
import datetime
import pytz
import hashlib
import getpass
comment init a basic output in terminal
call basicConfig
set s = call session
set CLASS_LENGTH = time delta minutes=45
set CLASS = dict 0 time delta hours=8 m... | import requests
import re
import logging
from pyquery import PyQuery as pq
import json
import icalendar
import datetime
import pytz
import hashlib
import getpass
logging.basicConfig() # init a basic output in terminal
s = requests.session()
CLASS_LENGTH = datetime.timedelta(minutes=45)
CLASS = {
0: datetime.tim... | Python | zaydzuhri_stack_edu_python |
import csv
from sys import argv
set filename = argv at 1 | import csv
from sys import argv
filename = argv[1]
| Python | zaydzuhri_stack_edu_python |
function insert value heap
begin
append heap value
call bubble_up heap length heap - 1
end function | def insert(value: Node, heap: List[Node]) -> None:
heap.append(value)
bubble_up(heap, len(heap) - 1) | Python | nomic_cornstack_python_v1 |
comment Funções
function verifica_gabarito prova gabarito
begin
set respostas_aluno = list prova
set respostas_corretas = list gabarito
set acertos = 0
for i in range length respostas_aluno
begin
if respostas_aluno at i == respostas_corretas at i
begin
set acertos = acertos + 1
end
else
begin
pass
end
end
return acerto... | # Funções
def verifica_gabarito(prova , gabarito):
respostas_aluno = list(prova)
respostas_corretas = list(gabarito)
acertos = 0
for i in range(len(respostas_aluno)):
if respostas_aluno[i] == respostas_corretas[i]:
acertos += 1
else:
pass
return acertos
# Exe... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
import talib
import numpy as np
class trade
begin
function __init__ self
begin
set capital = 1
set startcapital = capital
set amountbytrade = 0.1
comment {'symbol' : symbol, 'type' : 1, 'nb' : nbbuy, 'price' : price, 'stoploss' : stoploss, 'profit' : profit}
se... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import talib
import numpy as np
class trade():
def __init__(self):
self.capital = 1
self.startcapital = self.capital
self.amountbytrade = 0.1
self.trade = [] #{'symbol' : symbol, 'type' : 1, 'nb' : nbbuy, 'price' : price, 'stoploss' : stoploss, 'profit' : pr... | Python | zaydzuhri_stack_edu_python |
import numpy as np
comment 1. linspace, logspace Function
comment linspace : 설정한 범위에서 선형적으로 분할한 위치의 값을 출력
comment logspace : 설정한 범위에서 로그로 분할한 위치의 값을 출력
comment linspace
comment [ 0. 25. 50. 75. 100.]
print linear space 0 100 5
comment logspace
comment log10(x1)=2, log10(x2)=3, log10(x3)=4
comment [ 100. 1000. 10000.]
p... | import numpy as np
# 1. linspace, logspace Function
# linspace : 설정한 범위에서 선형적으로 분할한 위치의 값을 출력
# logspace : 설정한 범위에서 로그로 분할한 위치의 값을 출력
# linspace
print(np.linspace(0,100,5)) # [ 0. 25. 50. 75. 100.]
# logspace
# log10(x1)=2, log10(x2)=3, log10(x3)=4
print(np.logspace(2,4,3)) # [ 100. 1000. 10000.]
# 2. nump... | Python | zaydzuhri_stack_edu_python |
from pid import PID
set target_obj_size = 45
class Controller extends object
begin
function __init__ self drone image_cx image_cy
begin
set drone = drone
set image_cx = image_cx
set image_cy = image_cy
set h_pid = call PID 0.1 1e-05 0.01
set v_pid = call PID 0.5 1e-05 0.01
set dist_pid = call PID 0.1 1e-05 0.01
end fun... | from pid import PID
target_obj_size = 45
class Controller(object):
def __init__(self, drone, image_cx, image_cy):
self.drone = drone
self.image_cx = image_cx
self.image_cy = image_cy
self.h_pid = PID(0.1, 0.00001, 0.01)
self.v_pid = PID(0.5, 0.00001, 0.01)
self.dist... | Python | zaydzuhri_stack_edu_python |
function extract_substring string start end
begin
string This function will extract the substring between two given key words
if start in string and end in string
begin
set start_index = find string start + length start
set end_index = find string end
set extracted_string = string at slice start_index : end_index :
re... | def extract_substring(string, start, end):
'''This function will extract the substring between two given key words'''
if start in string and end in string:
start_index = string.find(start) + len(start)
end_index = string.find(end)
extracted_string = string[start_index:end_index]
... | Python | jtatman_500k |
function get_or_create_version_step self
begin
set version_step_tensor = call _get_version_step
if version_step_tensor is none
begin
set version_step_tensor = call _create_version_step
end
return version_step_tensor
end function | def get_or_create_version_step(self):
version_step_tensor = self._get_version_step()
if version_step_tensor is None:
version_step_tensor = self._create_version_step()
return version_step_tensor | Python | nomic_cornstack_python_v1 |
function Interpret tree
begin
call set_param jitdriver string trace_limit 25000
set register = call ReturnType
set tree = tree
set env = map
set k = call EndK
while 1
begin
call jit_merge_point tree=tree env=env k=k register=register
if is instance k FinalK
begin
break
end
if is instance tree Num
begin
set tuple regist... | def Interpret(tree):
set_param(jitdriver, "trace_limit", 25000)
register = ReturnType()
tree = tree
env = Map()
k = EndK()
while 1:
jitdriver.jit_merge_point(tree=tree, env=env, k=k, register=register)
if isinstance(k, FinalK):
break
if isinstance(tree, p... | Python | nomic_cornstack_python_v1 |
import random
import matplotlib.pyplot as plt
from skimage import io
from handlers import files_handler as fh
from utils.consts import *
function get_max_width df
begin
return max
end function
function get_max_height df
begin
return max
end function
function get_random_images images_names img_num
begin
set images_index... | import random
import matplotlib.pyplot as plt
from skimage import io
from handlers import files_handler as fh
from utils.consts import *
def get_max_width(df):
return (df["right_x"] - df["left_x"]).max()
def get_max_height(df):
return (df["bottom_y"] - df["top_y"]).max()
def get_random_images(images_nam... | Python | zaydzuhri_stack_edu_python |
function make_timeplot df_measure df_prediction
begin
comment mode = 'confirmed'
set mode = string active
set df_measure_confirmed = df_measure at mode
set colors = Dark24
set n_colors = length colors
set fig = figure
for tuple i country in enumerate columns
begin
call add_trace scatter go x=index y=df_measure_confirme... | def make_timeplot(df_measure, df_prediction):
# mode = 'confirmed'
mode = 'active'
df_measure_confirmed = df_measure[mode]
colors = px.colors.qualitative.Dark24
n_colors = len(colors)
fig = go.Figure()
for i, country in enumerate(df_measure_confirmed.columns):
fig.add_trace(go.Scatte... | Python | nomic_cornstack_python_v1 |
function rgb2colspace rgb colspace
begin
if colspace == string rgb
begin
return rgb
end
if colspace == string grey
begin
set luminance = call rgb2gray rgb
comment add back in third channel
return luminance at tuple Ellipsis none
end
raise call ValueError string Unknown colour space "%s" % colspace
end function | def rgb2colspace(rgb, colspace):
if colspace == 'rgb':
return rgb
if colspace == 'grey':
luminance = rgb2gray(rgb)
# add back in third channel
return luminance[..., None]
raise ValueError('Unknown colour space "%s"' % colspace) | Python | nomic_cornstack_python_v1 |
import requests
from bs4 import BeautifulSoup
function parse_company url
begin
set content = text
set soup = call BeautifulSoup content string html.parser
set subceo = find soup string span dict string class string subceo
set ceo_inn = none
if subceo
begin
set ceo_inn = get text subceo
end
return dict string ceo_inn ce... | import requests
from bs4 import BeautifulSoup
def parse_company(url):
content = requests.get(url).text
soup = BeautifulSoup(content, 'html.parser')
subceo = soup.find('span', {'class': 'subceo'})
ceo_inn = None
if subceo:
ceo_inn = subceo.get_text()
return {'ceo_inn': ceo_inn}
name = "... | Python | zaydzuhri_stack_edu_python |
import secrets
import string
from conf import config
from random_username.generate import generate_username
comment create a random user name
function generate_random_username
begin
return call generate_username SINGLE_USER at 0
end function
comment generate a random password
function generate_random_password
begin
set... | import secrets
import string
from conf import config
from random_username.generate import generate_username
#create a random user name
def generate_random_username():
return generate_username(config.SINGLE_USER)[0]
#generate a random password
def generate_random_password():
alphabet = string.ascii_lett... | Python | zaydzuhri_stack_edu_python |
function create_task self name app revision=none batch_input=none batch_by=none inputs=none description=none run=false disable_batch=false interruptible=true execution_settings=none
begin
string Creates a task for this project. :param name: Task name. :param app: CWL app identifier. :param revision: CWL app revision. :... | def create_task(self, name, app, revision=None, batch_input=None,
batch_by=None, inputs=None, description=None, run=False,
disable_batch=False, interruptible=True,
execution_settings=None):
"""
Creates a task for this project.
:param n... | Python | jtatman_500k |
function makeGaussian size fwhm=3 center=none
begin
set x = array range 0 size 1 float
set y = x at tuple slice : : newaxis
if center is none
begin
set x0 = size // 2
set y0 = size // 2
end
else
begin
set x0 = center at 0
set y0 = center at 1
end
return exp - 4 * log 2 * x - x0 ^ 2 + y - y0 ^ 2 / fwhm ^ 2
end functi... | def makeGaussian(size, fwhm = 3, center=None):
x = np.arange(0, size, 1, float)
y = x[:,np.newaxis]
if center is None:
x0 = y0 = size // 2
else:
x0 = center[0]
y0 = center[1]
return np.exp(-4*np.log(2) * ((x-x0)**2 + (y-y0)**2) / fwhm**2) | Python | nomic_cornstack_python_v1 |
string Flask Documentation: http://flask.pocoo.org/docs/ Jinja2 Documentation: http://jinja.pocoo.org/2/documentation/ Werkzeug Documentation: http://werkzeug.pocoo.org/documentation/ This file creates your application.
from app import app
from flask import render_template , request , redirect , url_for , flash
from ap... | """
Flask Documentation: http://flask.pocoo.org/docs/
Jinja2 Documentation: http://jinja.pocoo.org/2/documentation/
Werkzeug Documentation: http://werkzeug.pocoo.org/documentation/
This file creates your application.
"""
from app import app
from flask import render_template, request, redirect, url_for, flash
f... | Python | zaydzuhri_stack_edu_python |
function SizeDistribution self z R dcrit=1.686 dzero=0.0
begin
comment Comoving matter density
set rho0_m = rho_m_z0 * rho_cgs
set M = call Mass R
set S = array list comprehension call Variance z RR for RR in R
set tuple _M _dlnSdlnM = call central_difference log M at slice - 1 : : - 1 log S at slice - 1 : : - 1
set ... | def SizeDistribution(self, z, R, dcrit=1.686, dzero=0.0):
# Comoving matter density
rho0_m = self.cosm.rho_m_z0 * rho_cgs
M = self.Mass(R)
S = np.array([self.Variance(z, RR) for RR in R])
_M, _dlnSdlnM = central_difference(np.log(M[-1::-1]), np.log(S[-1::-1]))
... | Python | nomic_cornstack_python_v1 |
comment Definition for binary tree with next pointer.
class TreeLinkNode extends object
begin
function __init__ self x
begin
set val = x
set left = none
set right = none
set next = none
end function
end class
class Solution extends object
begin
function connect self root
begin
string :type root: TreeLinkNode :rtype: no... | # Definition for binary tree with next pointer.
class TreeLinkNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
self.next = None
class Solution(object):
def connect(self, root):
"""
:type root: TreeLinkNode
:rtype: nothi... | Python | zaydzuhri_stack_edu_python |
comment printing hello world
set my_name = string sandeep
print string Hello world and welcome + my_name + string !
import logging
comment set log level
set logger = call getLogger __name__
call setLevel DEBUG
comment create a file handler
set handler = call FileHandler string hello_world_app_logs.log
call setLevel DEB... | #printing hello world
my_name = "sandeep"
print("Hello world and welcome " + my_name + "!")
import logging
#set log level
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
# create a file handler
handler = logging.FileHandler('hello_world_app_logs.log')
handler.setLevel(logging.DEBUG)
# create a... | Python | zaydzuhri_stack_edu_python |
class Warehouse
begin
function __init__ self w_name
begin
set w_name = w_name
end function
end class
class Equipment
begin
function __init__ self manufacturer model color_mode quantity_wh quantity_office
begin
set manufacturer = manufacturer
set model = model
set color_mode = color_mode
set quantity_wh = quantity_wh
se... | class Warehouse:
def __init__(self, w_name: str):
self.w_name = w_name
class Equipment:
def __init__(self, manufacturer: str, model: str, color_mode: str, quantity_wh: int, quantity_office):
self.manufacturer = manufacturer
self.model = model
self.color_mode = color_mode
... | Python | zaydzuhri_stack_edu_python |
function wavelet_denoised self image
begin
set img = call _read_image self image
set denoised_image = call denoise_wavelet img sigma=0.1
return denoised_image
end function | def wavelet_denoised(self, image):
img = Data._read_image(self, image)
denoised_image = denoise_wavelet(img, sigma=0.1)
return denoised_image | Python | nomic_cornstack_python_v1 |
function make_random_gaussians_table n_sources param_ranges random_state=none
begin
string Make a `~astropy.table.Table` containing randomly generated parameters for 2D Gaussian sources. Each row of the table corresponds to a Gaussian source whose parameters are defined by the column names. The parameters are drawn fro... | def make_random_gaussians_table(n_sources, param_ranges, random_state=None):
"""
Make a `~astropy.table.Table` containing randomly generated
parameters for 2D Gaussian sources.
Each row of the table corresponds to a Gaussian source whose
parameters are defined by the column names. The parameters a... | Python | jtatman_500k |
comment -*- coding: utf-8 -*-
string Created on Tue Jun 16 15:14:28 2020 @author: sir95
comment module import
import pickle
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
import time
import numpy as np
comment mnist 데이터셋 다운로드 후 저장:... | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 16 15:14:28 2020
@author: sir95
"""
# module import
import pickle
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
import time
import numpy as np
# mnist 데이터셋 다운로드 후 저장... | Python | zaydzuhri_stack_edu_python |
function test_see_all_different_products_handler self
begin
set tables = list string customers string products string rentals
set mongo_drop_table = call DropData tables
set result = call drop_table
print result
try
begin
set current_dir = get current directory
set directory_name = current_dir + string \lesson5\data\
s... | def test_see_all_different_products_handler(self):
tables = ['customers', 'products', 'rentals']
mongo_drop_table = mdb.DropData(tables)
result = mongo_drop_table.drop_table()
print(result)
try:
current_dir = os.getcwd()
directory_name = current_dir + '\\... | Python | nomic_cornstack_python_v1 |
function run_sync self query language=string ADQL maxrec=none uploads=none
begin
set q = call QUERY_CLASS baseurl query language=language maxrec=maxrec uploads=uploads
return execute q
end function | def run_sync(self, query, language="ADQL", maxrec=None, uploads=None):
q = self.QUERY_CLASS(
self.baseurl, query, language=language, maxrec=maxrec,
uploads=uploads)
return q.execute() | Python | nomic_cornstack_python_v1 |
function copy_facemap_roi procfile videofile outputfile=none
begin
set videodata = item load np procfile allow_pickle=true
set videodata at string filenames = list list videofile
if outputfile is none
begin
set outputfile = call splitext videofile at 0 + string _proc.npy
end
if is file path outputfile
begin
print strin... | def copy_facemap_roi(procfile, videofile, outputfile=None):
videodata = np.load(procfile, allow_pickle=True).item()
videodata['filenames'] = [[videofile]]
if outputfile is None:
outputfile = os.path.splitext(videofile)[0]+'_proc.npy'
if os.path.isfile(outputfile):
print(f'File {outputf... | Python | nomic_cornstack_python_v1 |
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