code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment Created by Jasper Davey
import sqlite3 , sqlinterface
set db_name = call raw_input string Please enter name of database:
set conn = call connect db_name | # Created by Jasper Davey
import sqlite3, sqlinterface
db_name = raw_input("Please enter name of database: ")
conn = sqlite3.connect(db_name) | Python | zaydzuhri_stack_edu_python |
comment matplotlib.pylot这里并未使用，所以pycharm没有高亮语句
import matplotlib.pyplot as plt
import numpy as np
comment 引入高级优化方法
import scipy.optimize as opt
from plotData import *
comment 这一句是可以将同一文件目录下的文件简化引入的
import costFunction as cf
import plotDecisionBoundary as pdb
import predict as predict
from sigmoid import *
comment 读取txt... | import matplotlib.pyplot as plt # matplotlib.pylot这里并未使用，所以pycharm没有高亮语句
import numpy as np
import scipy.optimize as opt # 引入高级优化方法
from plotData import *
import costFunction as cf # 这一句是可以将同一文件目录下的文件简化引入的
import plotDecisionBoundary as pdb
import predict as predict
from sigmoid import *
data = np.loadtxt('ex2dat... | Python | zaydzuhri_stack_edu_python |
comment using the and function to create a fxn
comment optimal solution:
function And a b
begin
return a and b
end function
comment my solution (works):
function And a b
begin
return a == true and b == true
end function | # using the and function to create a fxn
# optimal solution:
def And(a, b):
return a and b
# my solution (works):
def And(a, b):
return a == True and b == True
| Python | zaydzuhri_stack_edu_python |
comment Given: A DNA string s of length at most 1000 bp.
comment Return: The reverse complement s^c of s.
comment Mateusz Dobrychlop, 2014
import sys
set inp_string = argv at 1
set complementary = dict string A string T ; string T string A ; string C string G ; string G string C
set out_string = string
for char in inp... | # Given: A DNA string s of length at most 1000 bp.
#
# Return: The reverse complement s^c of s.
#
# Mateusz Dobrychlop, 2014
import sys
inp_string = sys.argv[1]
complementary = {"A":"T","T":"A","C":"G","G":"C"}
out_string = ""
for char in inp_string:
out_string += complementary[char]
out_string = out_string[:... | Python | zaydzuhri_stack_edu_python |
function ingredient_from_dict ingr_dict selectable
begin
string Create an ingredient from an dictionary. This object will be deserialized from yaml
comment TODO: This is deprecated in favor of
comment ingredient_from_validated_dict
comment Describe the required params for each kind of ingredient
comment The key is the ... | def ingredient_from_dict(ingr_dict, selectable):
"""Create an ingredient from an dictionary.
This object will be deserialized from yaml """
# TODO: This is deprecated in favor of
# ingredient_from_validated_dict
# Describe the required params for each kind of ingredient
# The key is the param... | Python | jtatman_500k |
function porttree_matches name
begin
string Returns a list containing the matches for a given package name from the portage tree. Note that the specific version of the package will not be provided for packages that have several versions in the portage tree, but rather the name of the package (i.e. "dev-python/paramiko"... | def porttree_matches(name):
'''
Returns a list containing the matches for a given package name from the
portage tree. Note that the specific version of the package will not be
provided for packages that have several versions in the portage tree, but
rather the name of the package (i.e. "dev-python/p... | Python | jtatman_500k |
for _ in range T
begin
set N = integer input
if K == 1 or K == 2 or K == 3 or K == 4
begin
set A = N ^ K
set B = N - 1 ^ K
set List = list 0 * N
comment print("Length",len(List))
set List at N - 1 = 1
set List at N - 2 = 0
for i in range N - 2 0 - 1
begin
set j = i ^ K
comment print(i,j)
if B > A
begin
set A = A + j
se... | for _ in range(T):
N=int(input())
if K==1 or K==2 or K==3 or K==4:
A=N**K
B=(N-1)**K
List=[0]*N
# print("Length",len(List))
List[N-1]=1
List[N-2]=0
for i in range(N-2,0,-1):
j=i**K
# print(i,j)
if B > A:
A+=j
List[i-1]=1
... | Python | zaydzuhri_stack_edu_python |
function infer_bbox_shape boxes
begin
call validate_bbox boxes
set width : Tensor = boxes at tuple slice : : 1 0 - boxes at tuple slice : : 0 0 + 1
set height : Tensor = boxes at tuple slice : : 2 1 - boxes at tuple slice : : 0 1 + 1
return tuple height width
end function | def infer_bbox_shape(boxes: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor]:
validate_bbox(boxes)
width: torch.Tensor = boxes[:, 1, 0] - boxes[:, 0, 0] + 1
height: torch.Tensor = boxes[:, 2, 1] - boxes[:, 0, 1] + 1
return height, width | Python | nomic_cornstack_python_v1 |
function _primes_less_than n
begin
comment Based on
comment https://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n-in-python/3035188#3035188
set small_primes = array tuple 2 3 5
if n <= 6
begin
return small_primes at small_primes < n
end
set sieve = ones n // 3 + n % 6 == 2 dtype=bool_
set s... | def _primes_less_than(n):
# Based on
# https://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n-in-python/3035188#3035188
small_primes = np.array((2, 3, 5))
if n <= 6:
return small_primes[small_primes < n]
sieve = np.ones(n // 3 + (n % 6 == 2), dtype=np.bool_)
sieve[0] = False
... | Python | nomic_cornstack_python_v1 |
import RPi.GPIO as GPIO
call setmode BOARD
from flask import Flask , render_template
import os
import time
import datetime
from temp import temperature
set red_pin = 13
set green_pin = 15
set blue_pin = 16
setup GPIO red_pin OUT
setup GPIO green_pin OUT
setup GPIO blue_pin OUT
call output red_pin false
call output gree... | import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BOARD)
from flask import Flask, render_template
import os
import time
import datetime
from temp import temperature
red_pin = 13
green_pin = 15
blue_pin = 16
GPIO.setup(red_pin, GPIO.OUT)
GPIO.setup(green_pin, GPIO.OUT)
GPIO.setup(blue_pin, GPIO.OUT)
GPIO.output(red_pin, False)... | Python | zaydzuhri_stack_edu_python |
function convert_to_RGB_255 colors
begin
return tuple colors at 0 * 255.0 colors at 1 * 255.0 colors at 2 * 255.0
end function | def convert_to_RGB_255(colors):
return (colors[0]*255.0, colors[1]*255.0, colors[2]*255.0) | Python | nomic_cornstack_python_v1 |
function is_complete node name=string
begin
if not name
begin
return all generator expression call is_complete node name for name in list string Parameters string Attributes
end
set tuple docstring_params signature_params = call get_params node name
for param in signature_params
begin
if param not in docstring_params
b... | def is_complete(node: Node, name: str = "") -> bool:
if not name:
return all(is_complete(node, name) for name in ["Parameters", "Attributes"])
docstring_params, signature_params = get_params(node, name)
for param in signature_params:
if param not in docstring_params:
return Fals... | Python | nomic_cornstack_python_v1 |
comment Here we will take string input from the user
print string Enter your Name:
set Name = input
print string Hello, Name
comment or
print string Enter your Name:
set orName = input
print string Hello, + orName
comment both above method works
comment lets discuss unputting numbers also
print string Enter your Number... | # Here we will take string input from the user
print("Enter your Name: ")
Name = input()
print("Hello, ", Name)
#or
print("Enter your Name: ")
orName = input()
print("Hello, " + orName)
#both above method works
# lets discuss unputting numbers also
print("Enter your Number: ")
Number = input()
print("Its your Numbe... | Python | zaydzuhri_stack_edu_python |
class PriorityQueue
begin
function __init__ self
begin
set heap = list
end function
function insert self element priority
begin
append heap tuple element priority
call _bubble_up length heap - 1
end function
function delete_min self
begin
if call is_empty
begin
return none
end
set min_element = heap at 0 at 0
set last... | class PriorityQueue:
def __init__(self):
self.heap = []
def insert(self, element, priority):
self.heap.append((element, priority))
self._bubble_up(len(self.heap) - 1)
def delete_min(self):
if self.is_empty():
return None
min_element = self.heap[0][0]
... | Python | jtatman_500k |
function calcMargiProb cadId M
begin
return array list comprehension sum cadId == m for m in range M / shape at 0
end function | def calcMargiProb(cadId, M):
return np.array([np.sum(cadId == m) for m in range(M)]) / cadId.shape[0] | Python | nomic_cornstack_python_v1 |
function RL_deconv y kernel iterations=4 mass_conserve=true
begin
set y_mass = sum y
set x_hat = ones shape
set r = ones shape
comment Iterate towards ML estimate for the latent signal
for i in range iterations
begin
set y_hat = call conv_ x_hat kernel
set r at y_hat > 0 = y at y_hat > 0 / y_hat at y_hat > 0
set x_hat ... | def RL_deconv(y, kernel, iterations=4, mass_conserve=True):
y_mass = np.sum(y)
x_hat = np.ones(y.shape)
r = np.ones(y.shape)
# Iterate towards ML estimate for the latent signal
for i in range(iterations):
y_hat = conv_(x_hat, kernel)
r[y_hat > 0] = y[y_hat > 0] / y_hat[y_ha... | Python | nomic_cornstack_python_v1 |
function setBindingStatus self *args
begin
return call OutwardBindingSite_setBindingStatus self *args
end function | def setBindingStatus(self, *args):
return _libsbml.OutwardBindingSite_setBindingStatus(self, *args) | Python | nomic_cornstack_python_v1 |
import numpy as np
import math
import linear_perceptron
import read_data
import rbf_svm
from prettytable import PrettyTable
function run k X y c shuffle=false
begin
set tuple n d = call shape X
set accuracy_percentage = list
end function | import numpy as np
import math
import linear_perceptron
import read_data
import rbf_svm
from prettytable import PrettyTable
def run(k,X,y,c, shuffle=False):
(n, d) = np.shape(X)
accuracy_percentage = [] | Python | zaydzuhri_stack_edu_python |
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
set a = list 4.05 0 0
set b = list 0 4.05 0
set c = list 0 0 4.05
set HKL = list list - 2 2 list - 2 2 list - 2 2
comment create RL primitive vector
set V = dot a call cross b c
set aa = call cross b c / V
set ba = call cross c a... | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
a = [4.05, 0, 0]
b = [0, 4.05, 0]
c = [0, 0, 4.05]
HKL = [[-2, 2], [-2, 2], [-2, 2]]
# create RL primitive vector
V = np.dot(a, np.cross(b, c))
aa = np.cross(b, c)/V
ba = np.cross(c, a)/V
ca = np.cross(a, b)/V
# cre... | Python | zaydzuhri_stack_edu_python |
function potion self
begin
return call potion
end function | def potion(self):
return self.spec.potion() | Python | nomic_cornstack_python_v1 |
function test_invalid_partition_in_header self
begin
set broker = call broker call store_args name=string test_invalid_partition_in_header expect=EXPECT_EXIT_OK
set msg_content = string xyz * 100
set msg = call Message msg_content durable=true
call send_message string testQueue msg
terminate broker
set qls_dir = join p... | def test_invalid_partition_in_header(self):
broker = self.broker(store_args(), name="test_invalid_partition_in_header", expect=EXPECT_EXIT_OK)
msg_content = "xyz"*100
msg = Message(msg_content, durable=True)
broker.send_message("testQueue", msg)
broker.terminate()
qls_di... | Python | nomic_cornstack_python_v1 |
class position
begin
function __init__ self x y
begin
set x = x
set y = y
end function
function __eq__ self other
begin
if is instance other position
begin
return x == x and y == y
end
return false
end function
function getx self
begin
return x
end function
function gety self
begin
return y
end function
function update... | class position:
def __init__(self, x, y):
self.x = x
self.y = y
def __eq__(self, other):
if isinstance(other, position):
return self.x == other.x and self.y == other.y
return False
def getx(self):
return self.x
def gety(self):
return self.y
... | Python | zaydzuhri_stack_edu_python |
function CreateTrimmedSheet4 self Curves=defaultNamedNotOptArg PreserveAnalyticCurves=defaultNamedNotOptArg
begin
set ret = call InvokeTypes 75 LCID 1 tuple 9 0 tuple tuple 12 1 tuple 11 1 Curves PreserveAnalyticCurves
if ret is not none
begin
set ret = call Dispatch ret string CreateTrimmedSheet4 none
end
return ret
e... | def CreateTrimmedSheet4(self, Curves=defaultNamedNotOptArg, PreserveAnalyticCurves=defaultNamedNotOptArg):
ret = self._oleobj_.InvokeTypes(75, LCID, 1, (9, 0), ((12, 1), (11, 1)),Curves
, PreserveAnalyticCurves)
if ret is not None:
ret = Dispatch(ret, u'CreateTrimmedSheet4', None)
return ret | Python | nomic_cornstack_python_v1 |
comment ...
function ask_user
begin
while true
begin
print string Как дела?
set user_answer = input
if user_answer == string Хорошо
begin
break
end
else
if user_answer == string Пока
begin
break
end
else
begin
print format string Сам ты {} user_answer
end
end
end function
call ask_user | #...
def ask_user():
while True:
print('Как дела?')
user_answer = input()
if user_answer == 'Хорошо':
break
elif user_answer == 'Пока':
break
else:
print('Сам ты {}'.format(user_answer))
ask_user()
| Python | zaydzuhri_stack_edu_python |
function to_dict self
begin
return dict field message
end function | def to_dict(self):
return {self.field: self.message} | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import unittest
from tokenizer_new import Token , Tokenizer
class TokenizerTest extends TestCase
begin
string tests for tokenizer_new.py
function test_regular self
begin
string tests a string with mixed alphabetical symbols, numbers, whitespaces, and punctuation
set tokens = call tokenize ... | # -*- coding: utf-8 -*-
import unittest
from tokenizer_new import Token, Tokenizer
class TokenizerTest(unittest.TestCase):
'''tests for tokenizer_new.py'''
def test_regular(self):
'''
tests a string with mixed alphabetical symbols, numbers, whitespaces,
and punctuation
... | Python | zaydzuhri_stack_edu_python |
function plugin_poll handle
begin
global _handle _restart_config
set bluetooth_adr = _handle at string bluetoothAddress at string value
set tag = _handle at string tag
set asset_prefix = replace format string {} _handle at string assetNamePrefix at string value string %M bluetooth_adr
try
begin
if not is_connected
begi... | def plugin_poll(handle):
global _handle, _restart_config
bluetooth_adr = _handle['bluetoothAddress']['value']
tag = _handle['tag']
asset_prefix = '{}'.format(_handle['assetNamePrefix']['value']).replace('%M', bluetooth_adr)
try:
if not tag.is_connected:
raise RuntimeError("Sens... | Python | nomic_cornstack_python_v1 |
function power a n
begin
if a <= 0 or n < 0
begin
return string Enter correct numbers
end
if n == 0
begin
return 1
end
else
begin
return a * call power a n - 1
end
end function
print string a**n= call power a n
input | def power(a, n):
if a <= 0 or n < 0:
return "Enter correct numbers"
if n == 0:
return 1
else:
return a*power(a, n-1)
print("a**n= ", power(a, n))
input()
| Python | zaydzuhri_stack_edu_python |
function look_at vertices eye at=none up=none
begin
assert ndim == 3
set xp = call get_array_module vertices
set batch_size = shape at 0
if at is none
begin
set at = array list 0 0 0 string float32
end
if up is none
begin
set up = array list 0 1 0 string float32
end
if is instance eye list or is instance eye tuple
begi... | def look_at(vertices, eye, at=None, up=None):
assert (vertices.ndim == 3)
xp = chainer.cuda.get_array_module(vertices)
batch_size = vertices.shape[0]
if at is None:
at = xp.array([0, 0, 0], 'float32')
if up is None:
up = xp.array([0, 1, 0], 'float32')
if isinstance(eye, list) o... | Python | nomic_cornstack_python_v1 |
comment encoding=utf-8
comment Copyright 2015 The TensorFlow Authors. All Rights Reserved.
comment Licensed under the Apache License, Version 2.0 (the "License");
comment you may not use this file except in compliance with the License.
comment You may obtain a copy of the License at
comment http://www.apache.org/licens... | # encoding=utf-8
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... | Python | zaydzuhri_stack_edu_python |
function _testmodel_operations_delete self name
begin
set appWrapper = _wrapper
set r = post url=string https:// + host + string /bps/api/v2/core/testmodel/operations/delete headers=dict string content-type string application/json data=dumps dict string name name verify=false
set jsonContent = content is not none and s... | def _testmodel_operations_delete(self, name):
appWrapper = self._wrapper
r = appWrapper.session.post(url='https://' + appWrapper.host + '/bps/api/v2/core/testmodel/operations/delete', headers={'content-type': 'application/json'}, data=json.dumps({'name': name}), verify=False)
jsonContent = r.con... | Python | nomic_cornstack_python_v1 |
from project1 import redactor
set test_string = string My name is Madison, but sometimes I go by Maddi by my friends.
comment Tests the redact_names function
function test_names
begin
print string Unredacted text: + test_string
set text = call redact_names test_string
assert length text at 1 == 2
print string Redacted ... | from project1 import redactor
test_string = "My name is Madison, but sometimes I go by Maddi by my friends."
#Tests the redact_names function
def test_names():
print('\nUnredacted text: ' + test_string)
text = redactor.redact_names(test_string)
assert len(text[1]) == 2
print('Redacted text: ' + t... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import cache
import csvutf8
import os
import urllib
import urllib2
import json
import time
set nominatimBaseURL = string http://ubuntu.local/nominatim/search.php?
set sleepInterval = 0
comment nominatimBaseURL = 'http://nominatim.openstreetmap.org/search.php?'
comment sleepInterval = 1
set ... | #!/usr/bin/env python
import cache
import csvutf8
import os
import urllib
import urllib2
import json
import time
nominatimBaseURL = 'http://ubuntu.local/nominatim/search.php?'
sleepInterval = 0
#nominatimBaseURL = 'http://nominatim.openstreetmap.org/search.php?'
#sleepInterval = 1
results = [['id', 'lat', 'lon']]
br... | Python | zaydzuhri_stack_edu_python |
function gen_kCD_checks vv ww h phi psi qhat I9 nn kkin mcJump nmc G0 A0
begin
comment Prep meetings
set veci = as type random integer 0 nn list nmc int32
comment kkin sample for dimensions of k
set nkk = shape at 0
if nkk > 1
begin
set veck = kkin at random integer 0 nkk list nmc
end
else
begin
set veck = ones list nm... | def gen_kCD_checks(vv, ww, h, phi, psi, qhat, I9,
nn, kkin, mcJump, nmc,
G0, A0):
## Prep meetings
veci = (np.random.randint(0,nn,[nmc])).astype(np.int32)
nkk = kkin.shape[0] #kkin sample for dimensions of k
if nkk>1:
veck = kkin[np.random.randint(0,nkk,[nmc])]... | Python | nomic_cornstack_python_v1 |
function __init__ self file_path=string data/ batch_size=1 img_size=list 128 2048 max_text_len=256
begin
comment filePath needs to be a folder
assert file_path at - 1 == string /
set current_index = 0
set batch_size = batch_size
set img_size = img_size
set samples = list
comment metadata for words in words.txt
set f =... | def __init__(self, file_path="data/", batch_size=1, img_size=[128, 2048], max_text_len=256):
# filePath needs to be a folder
assert file_path[-1]=='/'
self.current_index = 0
self.batch_size = batch_size
self.img_size = img_size
self.samples = []
# met... | Python | nomic_cornstack_python_v1 |
string 只加载部分参数,通过提供默认列表 本脚本提供两个测试： 1. 通过key加载部分变量 2. 通过字典序列加载部分变量的同时，重命名变量
import tensorflow as tf
function load_some_vars_test
begin
comment 注意这里Tensorflow在计算图中寻找的是name="xx"的关键字，而不是变量名
set v1 = call Variable call constant 0 shape=list 1 dtype=float32 name=string v1
set saver = call Saver list v1
with call Session as s... | """
只加载部分参数,通过提供默认列表
本脚本提供两个测试：
1. 通过key加载部分变量
2. 通过字典序列加载部分变量的同时，重命名变量
"""
import tensorflow as tf
def load_some_vars_test():
# 注意这里Tensorflow在计算图中寻找的是name="xx"的关键字，而不是变量名
v1 = tf.Variable(tf.constant(0, shape=[1], dtype=tf.float32), name="v1")
saver = tf.train.Saver([v1])
with tf.Session() as sess:
... | Python | zaydzuhri_stack_edu_python |
comment HELPERS
function log msg noisy level=string INFO
begin
if noisy
begin
print format string [{}] SUBLIME-REMOTE: {} level msg
end
end function | #
# HELPERS
#
def log(msg,noisy,level='INFO'):
if noisy:
print("[{}] SUBLIME-REMOTE: {}".format(level,msg)) | Python | zaydzuhri_stack_edu_python |
comment importing required libraries of opencv
import cv2
import numpy as np
function withinClassVariance thr hist
begin
set WB = sum hist at slice : thr : / 64 * 64
if sum hist at slice : thr : == 0 or sum hist at slice thr : : == 0
begin
return inf
end
set meanB = 0
for i in range thr
begin
set meanB = meanB + i *... | # importing required libraries of opencv
import cv2
import numpy as np
def withinClassVariance(thr,hist):
WB=sum(hist[:thr])/(64*64)
if sum(hist[:thr])==0 or sum(hist[thr:])==0 :
return np.inf
meanB=0
for i in range(thr):
meanB+=(i*hist[i])
meanB/=sum(hist[:thr])
varB=0
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
function straightify values
begin
set returnval = list
for num in values
begin
append returnval 1000 / num
end
return returnval
end function
set data = call read_excel string dataset-whole-rainfall.xlsx
set X = values
set y = values
from sklearn.im... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def straightify(values):
returnval = []
for num in values:
returnval.append(1000/num)
return returnval
data = pd.read_excel("dataset-whole-rainfall.xlsx")
X = data.iloc[:,[12]].values
y = data.iloc[:,[9]].values
fr... | Python | zaydzuhri_stack_edu_python |
function addlist list
begin
set sum = 0
for num in list
begin
set sum = sum + integer num
end
return print string Sum = sum
end function
comment Driver Code ###########
call addlist list | def addlist(list):
sum = 0
for num in list:
sum += int (num)
return print("Sum = ",sum)
##### Driver Code ###########
addlist(list) | Python | zaydzuhri_stack_edu_python |
function filter_top_level item
begin
return parent_item is none
end function | def filter_top_level(item):
return item.parent_item is None | Python | nomic_cornstack_python_v1 |
function get_sentence_words sentence unique=false keep_case=false remove_punctuation=true remove_specials=true
begin
set words = split strip call clean_sentence sentence keep_case=keep_case remove_punctuation=remove_punctuation remove_specials=remove_specials
if unique
begin
set words = list set words
end
return words
... | def get_sentence_words(sentence: str,
unique: Optional[bool] = False,
keep_case: Optional[bool] = False,
remove_punctuation: Optional[bool] = True,
remove_specials: Optional[bool] = True) -> List[str]:
words = clean_sentence... | Python | nomic_cornstack_python_v1 |
function test_plant_create_super_user self
begin
set url = reverse string plant-list
call force_authenticate user=superuser
set data = dict string name string Rose ; string description string Description de la rose ; string humidity_spec string 45.2 ; string luminosity_spec string 12.32 ; string temperature_spec string... | def test_plant_create_super_user(self):
url = reverse('plant-list')
self.client.force_authenticate(user=self.superuser)
data = {
'name': 'Rose',
'description': 'Description de la rose',
'humidity_spec': '45.2',
'luminosity_spec': '12.32',
... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on 2021/5/6 18:27 Filename : ex_009_thread.py Author : Taosy.W Zhihu : https://www.zhihu.com/people/1105936347 Github : https://github.com/AFei19911012 Description:
import threading
import time
comment 定义线程函数
function print_time thread_name delay
begin
set count = 0
while co... | # -*- coding: utf-8 -*-
"""
Created on 2021/5/6 18:27
Filename : ex_009_thread.py
Author : Taosy.W
Zhihu : https://www.zhihu.com/people/1105936347
Github : https://github.com/AFei19911012
Description:
"""
import threading
import time
# 定义线程函数
def print_time(thread_name, delay):
count = 0
... | Python | zaydzuhri_stack_edu_python |
from sys import stdout
from util.timer import Timer
from util.dump import load_object , dump_object
import neural_network.reader as reader
from feature_selection.spearman import spearman
from feature_selection.pearson import pearson
from feature_selection.information_gain import information_gain
import numpy as np
func... | from sys import stdout
from util.timer import Timer
from util.dump import load_object, dump_object
import neural_network.reader as reader
from feature_selection.spearman import spearman
from feature_selection.pearson import pearson
from feature_selection.information_gain import information_gain
import numpy as np
def... | Python | zaydzuhri_stack_edu_python |
from datetime import date
set loop = 1
set fdata = open string C:\aof.py\data_friends.txt string w
while loop <= 5
begin
set tuple Name Nickname Birth Province School = split input string Name : Nickname : Date of Birth : Province : School =====> string :
write fdata string %s,%s,%s,%s,%s % tuple Name Nickname Birth Pr... | from datetime import date
loop = 1
fdata = open("C:\\aof.py\\data_friends.txt","w")
while loop <= 5:
Name,Nickname,Birth,Province,School = input("Name : Nickname : Date of Birth : Province : School =====> ").split(':')
fdata.write('%s,%s,%s,%s,%s\n'%(Name,Nickname,Birth,Province,School))
loop += 1
fd... | Python | zaydzuhri_stack_edu_python |
function _set_scanning_defer_traffic self v load=false
begin
if has attribute v string _utype
begin
set v = call _utype v
end
try
begin
set t = call YANGDynClass v base=YANGBool is_leaf=true yang_name=string scanning-defer-traffic parent=self path_helper=_path_helper extmethods=_extmethods register_paths=true namespace... | def _set_scanning_defer_traffic(self, v, load=False):
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGBool, is_leaf=True, yang_name="scanning-defer-traffic", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://open... | Python | nomic_cornstack_python_v1 |
set persona1 = integer input string Cuanto dinero va a depositar:
set persona2 = integer input string Cuanto dinero va a depositar:
set persona3 = integer input string Cuanto dinero va a depositar:
set sumatoria = persona1 + persona2 + persona3
print string La cantidad total sumada de dinero es: + string sumatoria
prin... | persona1 = int(input("Cuanto dinero va a depositar: "))
persona2 = int(input("Cuanto dinero va a depositar: "))
persona3 = int(input("Cuanto dinero va a depositar: "))
sumatoria= (persona1+persona2+persona3)
print("La cantidad total sumada de dinero es: "+str(sumatoria))
print("La primer persona deposito: "+st... | Python | zaydzuhri_stack_edu_python |
from models.stock_firm import StockFirm
from models.ticker import StockTicker
from repositories.stock_firm_writer import StockFirmWriter
from repositories.ticker_writer import TickerWriter
from stock_reader import StockReader
set __all__ = tuple string StockRegisterer
class StockRegisterer
begin
function __init__ self ... | from ..models.stock_firm import StockFirm
from ..models.ticker import StockTicker
from ..repositories.stock_firm_writer import StockFirmWriter
from ..repositories.ticker_writer import TickerWriter
from .stock_reader import StockReader
__all__ = ("StockRegisterer",)
class StockRegisterer:
def __init__(
se... | Python | zaydzuhri_stack_edu_python |
import pytest
import hash_table.four_sum as prob
class TestFourSum
begin
function test_example1 self
begin
set nums1 = list 1 2
set nums2 = list - 2 - 1
set nums3 = list - 1 2
set nums4 = list 0 2
set res = 2
assert call fourSumCount nums1 nums2 nums3 nums4 == res
end function
function test_example2 self
begin
set nums... | import pytest
import hash_table.four_sum as prob
class TestFourSum:
def test_example1(self):
nums1 = [1,2]
nums2 = [-2,-1]
nums3 = [-1,2]
nums4 = [0,2]
res = 2
assert prob.fourSumCount(nums1, nums2, nums3, nums4) == res
def test_example2(self):
nums... | Python | zaydzuhri_stack_edu_python |
from fractions import Fraction
function calculate_probability card1 card2
begin
set total_cards = 52
comment Probability of drawing the specific card from the first deck
set probability_card1 = call Fraction 1 total_cards
comment Probability of drawing the specific card from the second deck
set probability_card2 = call... | from fractions import Fraction
def calculate_probability(card1, card2):
total_cards = 52
# Probability of drawing the specific card from the first deck
probability_card1 = Fraction(1, total_cards)
# Probability of drawing the specific card from the second deck
probability_card2 = Fraction... | Python | dbands_pythonMath |
function get_other_content self obj
begin
set has_annotations = get context string has_annotations
if not has_annotations and not get context string direct_request
begin
return none
end
comment check if the canvas has any non-image annotation pages
set sid = obj at string id
set req = get context string request
set cfg... | def get_other_content(self, obj: SolrResult) -> Optional[List]:
has_annotations = self.context.get("has_annotations")
if not has_annotations and not self.context.get('direct_request'):
return None
# check if the canvas has any non-image annotation pages
sid = obj["id"]
... | Python | nomic_cornstack_python_v1 |
function SetSplitterLeft *args **kwargs
begin
return call PropertyGridManager_SetSplitterLeft *args keyword kwargs
end function | def SetSplitterLeft(*args, **kwargs):
return _propgrid.PropertyGridManager_SetSplitterLeft(*args, **kwargs) | Python | nomic_cornstack_python_v1 |
function create_ngram_set input_list ngram_value=2
begin
return set zip *[input_list[i:] for i in range(ngram_value)]
end function | def create_ngram_set(input_list, ngram_value=2):
return set(zip(*[input_list[i:] for i in range(ngram_value)])) | Python | nomic_cornstack_python_v1 |
function _serverSRPKeyExchange self clientHello serverHello verifierDB cipherSuite privateKey serverCertChain settings
begin
try
begin
set tuple sigHash serverCertChain privateKey = call _pickServerKeyExchangeSig settings clientHello serverCertChain privateKey
end
except TLSHandshakeFailure as alert
begin
for result in... | def _serverSRPKeyExchange(self, clientHello, serverHello, verifierDB,
cipherSuite, privateKey, serverCertChain,
settings):
try:
sigHash, serverCertChain, privateKey = \
self._pickServerKeyExchangeSig(settings, clientHello,
... | Python | nomic_cornstack_python_v1 |
function topics_with_links self
begin
comment This is a little kludgy and it seems to be cleaner to just
comment handle this in a ``get_absolute_url`` method of the
comment ``Category`` model. However, I wanted to keep the knowledge of
comment the explore view decoupled from the Categories model in case we
comment want... | def topics_with_links(self):
# This is a little kludgy and it seems to be cleaner to just
# handle this in a ``get_absolute_url`` method of the
# ``Category`` model. However, I wanted to keep the knowledge of
# the explore view decoupled from the Categories model in case we
... | Python | nomic_cornstack_python_v1 |
function add self collection data _id=none
begin
set db = call connect
set data = call convert data
if _id is not none
begin
set data at string _id = _id
end
set _id = insert db at collection data
return get self collection _id
end function | def add(self, collection, data, _id=None):
db = self.connect()
data = convert(data)
if _id is not None:
data['_id'] = _id
_id = db[collection].insert(data)
return self.get(collection, _id) | Python | nomic_cornstack_python_v1 |
function julian_date year month=1 day=1 hour=0 minute=0 second=0.0
begin
return call julian_day year month day - 0.5 + second + minute * 60.0 + hour * 3600.0 / DAY_S
end function | def julian_date(year, month=1, day=1, hour=0, minute=0, second=0.0):
return julian_day(year, month, day) - 0.5 + (
second + minute * 60.0 + hour * 3600.0) / DAY_S | Python | nomic_cornstack_python_v1 |
function name self
begin
return get pulumi self string name
end function | def name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "name") | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import random , string
set limit = 2 * 10 ^ 5
set qlimit = 5 * 10 ^ 4
set loop = random integer 1 8
set pattern = join string generator expression random choice string a for _ in call xrange loop
set text = pattern * random integer 1 limit / loop
set n = random integer length text limit
wh... | #!/usr/bin/env python
import random, string
limit = 2 * 10**5
qlimit = 5 * (10**4)
loop = random.randint(1, 8)
pattern = ''.join(random.choice('a') for _ in xrange(loop))
text = pattern * random.randint(1, limit / loop)
n = random.randint(len(text), limit)
while len(text) < n:
text += pattern[len(text) % loop]
... | Python | zaydzuhri_stack_edu_python |
function test_suggestive_line_input_width dash_threaded
begin
function assert_callback fig nclicks input_value
begin
set answer = string
if nclicks is not none
begin
for shape in fig at string layout at string shapes
begin
if shape at string name == SUGGESTIVE_LINE_LABEL
begin
if shape at string line at string width =... | def test_suggestive_line_input_width(dash_threaded):
def assert_callback(fig, nclicks, input_value):
answer = ''
if nclicks is not None:
for shape in fig['layout']['shapes']:
if shape['name'] == SUGGESTIVE_LINE_LABEL:
if shape['line']['width'] == floa... | Python | nomic_cornstack_python_v1 |
function test_import_robot_tags
begin
with call temporary_dir as output_dir
begin
call copyfile TEST_ROBOT_OUTPUT_FILES / string robot_1.xml call Path output_dir / string output.xml
call import_robot_test_results call FlowTaskFactory output_dir
end
set test_results = filter method__name=string FakeTestResult
set actual... | def test_import_robot_tags():
with temporary_dir() as output_dir:
copyfile(
TEST_ROBOT_OUTPUT_FILES / "robot_1.xml",
Path(output_dir) / "output.xml",
)
robot_importer.import_robot_test_results(FlowTaskFactory(), output_dir)
test_results = models.TestResult.objects... | Python | nomic_cornstack_python_v1 |
function test_api__create_workspace_member_role__ok_200__email_notif_disabe_but_invitation_notif_enabled self
begin
set authorization = tuple string Basic tuple string admin@admin.admin string admin@admin.admin
set dbsession = call get_tm_session session_factory manager
set admin = call one
set workspace_api = call Wor... | def test_api__create_workspace_member_role__ok_200__email_notif_disabe_but_invitation_notif_enabled(
self
):
self.testapp.authorization = ("Basic", ("admin@admin.admin", "admin@admin.admin"))
dbsession = get_tm_session(self.session_factory, transaction.manager)
admin = dbsession.quer... | Python | nomic_cornstack_python_v1 |
class LinkedList
begin
function __init__ self
begin
set head = none
end function
function length self
begin
set count = 0
set current = head
while current
begin
set count = count + 1
set current = next
end
return count
end function
function is_empty_and_length self
begin
set is_empty = false
set length = call length
if... | class LinkedList:
def __init__(self):
self.head = None
def length(self):
count = 0
current = self.head
while current:
count += 1
current = current.next
return count
def is_empty_and_length(self):
is_empty = False
length = self... | Python | jtatman_500k |
for i in t
begin
if i >= length t or i < 0
begin
set list at length t % i = i
end
else
begin
set list at i = i
end
end
print join string generator expression string x for x in list | for i in t:
if i>=len(t) or i<0 :
list[len(t)%i]=i
else :
list[i]=i
print(" ".join(str(x) for x in list)) | Python | zaydzuhri_stack_edu_python |
class Circulo
begin
set pi = 3.141592
function __init__ self radio
begin
set __radio = radio
end function
decorator property
function cuadrado self n
begin
return n ^ 2
end function
decorator setter
function area self
begin
return pi * call cuadrado radio
end function
function valorRadio self
begin
return radio
end fun... | class Circulo:
pi = 3.141592
def __init__(self, radio):
self.__radio = radio
@property
def cuadrado(self, n):
return n ** 2
@cuadrado.setter
def area(self):
return Circulo.pi * self.cuadrado(self.radio)
def valorRadio(self):
return sel... | Python | zaydzuhri_stack_edu_python |
function startRecording2 self folderPath fileName overwrite
begin
if not proxy
begin
set proxy = call service string ALVideoRecorder
end
return call startRecording folderPath fileName overwrite
end function | def startRecording2(self, folderPath, fileName, overwrite):
if not self.proxy:
self.proxy = self.session.service("ALVideoRecorder")
return self.proxy.startRecording(folderPath, fileName, overwrite) | Python | nomic_cornstack_python_v1 |
for i in range length b
begin
if b at i not in d
begin
set flag = 1
end
end
if c == a or flag == 1
begin
print string no
end
else
begin
print string yes
end | for i in range(len(b)):
if b[i] not in d:
flag=1
if c==a or flag==1:
print('no')
else:
print('yes')
| Python | zaydzuhri_stack_edu_python |
function position t=string now
begin
set ra = call true_rightascension t
set dec = call true_declination t
return tuple ra dec
end function | def position(t='now'):
ra = true_rightascension(t)
dec = true_declination(t)
return ra, dec | Python | nomic_cornstack_python_v1 |
function ow_search self vid=188 pid=none name=none
begin
string Search for specific memory id/name and return it
for m in call get_mems TYPE_1W
begin
if pid and pid == pid or name and name == name
begin
return m
end
end
return none
end function | def ow_search(self, vid=0xBC, pid=None, name=None):
"""Search for specific memory id/name and return it"""
for m in self.get_mems(MemoryElement.TYPE_1W):
if pid and m.pid == pid or name and m.name == name:
return m
return None | Python | jtatman_500k |
import requests
from bs4 import BeautifulSoup
set url = string https://www.loggedon.co.za/
set response = get requests url verify=false
set soup = call BeautifulSoup text string lxml
set articles = find all soup string article class_=string post
print type articles
for i in articles
begin
set title = find all i string ... | import requests
from bs4 import BeautifulSoup
url = 'https://www.loggedon.co.za/'
response = requests.get(url, verify=False)
soup = BeautifulSoup(response.text,'lxml')
articles = soup.find_all('article', class_='post')
print(type(articles))
for i in articles:
title=i.find_all('h1', class_='entry-title')
print(... | Python | zaydzuhri_stack_edu_python |
comment 决策树
comment 非参数的学习算法
comment 可以解决分类问题，天然可以解决多分类问题
comment 也可以解决回归问题
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
set iris = call load_iris
print data
set x = data at tuple slice : : slice 2 : :
set y = target
print y == 2
comment plt.scatter(x[y==0,0],x[y==0,1])
comment p... | # 决策树
# 非参数的学习算法
# 可以解决分类问题，天然可以解决多分类问题
# 也可以解决回归问题
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
iris = datasets.load_iris()
print(iris.data)
x = iris.data[:,2:]
y = iris.target
print(y==2)
# plt.scatter(x[y==0,0],x[y==0,1])
# plt.scatter(x[y==1,0],x[y==1,1])
# plt.scatter(x[y==2,0],... | Python | zaydzuhri_stack_edu_python |
comment Author: UesrName
comment Email: UesrEmail
comment Time: 2013,09,08 13:31:22
comment Description: count the lines, types and words of files
comment Version: 2.0
comment Option: wc -l file
comment wc -l -w -c file
comment wc -lwc file
comment wc file1 file2
comment wc --help file
comment wc file --help
import os
... | # Author: UesrName
# Email: UesrEmail
# Time: 2013,09,08 13:31:22
# Description: count the lines, types and words of files
# Version: 2.0
# Option: wc -l file
# wc -l -w -c file
# wc -lwc file
# wc file1 file2
# wc --help file
# wc file --help
import os
import sys
| Python | zaydzuhri_stack_edu_python |
for i in indexes
begin
if completed at i
begin
print string { groceries at i } :checked
end
else
begin
print string { groceries at i } :uncheck
end
end | for i in indexes:
if completed[i]:
print (f'{groceries[i]}:checked')
else:
print(f'{groceries[i]}:uncheck') | Python | zaydzuhri_stack_edu_python |
function getDomain self
begin
pass
end function | def getDomain(self):
pass | Python | nomic_cornstack_python_v1 |
async function wait_message self
begin
string Blocks until new message appear.
if not call empty
begin
return true
end
if closed
begin
return false
end
await wait _queue
return is_active
end function | async def wait_message(self):
"""Blocks until new message appear."""
if not self._queue.empty():
return True
if self._queue.closed:
return False
await self._queue.wait()
return self.is_active | Python | jtatman_500k |
function create_proxy_model self model parent name multiplicity=ZERO_MANY **kwargs
begin
call check_type model Part string model
call check_type parent Part string parent
if category != MODEL
begin
raise call IllegalArgumentError string The model should be of category MODEL
end
if category != MODEL
begin
raise call Ill... | def create_proxy_model(
self,
model: Part,
parent: Part,
name: str,
multiplicity: Optional[Multiplicity] = Multiplicity.ZERO_MANY,
**kwargs,
) -> Part:
check_type(model, Part, "model")
check_type(parent, Part, "parent")
if model.category != Ca... | Python | nomic_cornstack_python_v1 |
function save self file_name
begin
with open file_name string w+ as out_file
begin
set content = dict string version VERSION ; string cached cached
dump content out_file
end
end function | def save(self, file_name):
with open(file_name, "w+") as out_file:
content = {"version": self.VERSION, "cached": self.cached}
pickle.dump(content, out_file) | Python | nomic_cornstack_python_v1 |
function flatten_node node
begin
set flat = dict
function flatten_node node
begin
string Replicate the node.
if string node_id not in flat
begin
set flat at string node_id = node_id
set flat at string label = label
if string project_id in properties
begin
set tuple program project = split properties at string project_... | def flatten_node(node):
flat = {}
def flatten_node(node):
"""Replicate the node."""
if 'node_id' not in flat:
flat['node_id'] = node.node_id
flat['label'] = node.label
if 'project_id' in node.properties:
program, project = node.properties['proj... | Python | nomic_cornstack_python_v1 |
class statement extends object
begin
comment A statement has a predicate, a set of arguments that is applies to and a list of
comment statements/rules that it supports (initially empty). Arguments are processed to
comment turn both variables and constants into objects.
function __init__ self pattern
begin
set full = pa... | class statement(object):
# A statement has a predicate, a set of arguments that is applies to and a list of
# statements/rules that it supports (initially empty). Arguments are processed to
# turn both variables and constants into objects.
def __init__(self, pattern):
self.full = pattern
self.pred... | Python | zaydzuhri_stack_edu_python |
function parse line
begin
set tuple c a = tuple index string EWSNFRL line at slice : 1 : integer line at slice 1 : :
return tuple a * c == 0 - c == 1 a * c == 2 - c == 3 c == 4 * a a // 90 * c == 5 - c == 6
end function
function solve_1 data x y a
begin
for tuple dx dy df da in data
begin
set tuple x y a = tuple x + ... | def parse(line):
c, a = 'EWSNFRL'.index(line[:1]), int(line[1:])
return a * ((c == 0) - (c == 1)), a * ((c == 2) - (c == 3)), (c == 4) * a, (a//90) * ((c == 5) - (c == 6))
def solve_1(data, x, y, a):
for dx, dy, df, da in data:
x, y, a = x + dx + xs[a] * df, y + dy + ys[a] * df, (a + da)%4
retu... | Python | zaydzuhri_stack_edu_python |
import pygame
from pygame import Rect
function draw_text surface message font_size center_position color=tuple 255 255 255
begin
set font = call Font string freesansbold.ttf font_size
set text = call render message true color
set text_rect = call get_rect
set center = center_position
call blit text text_rect
end functi... | import pygame
from pygame import Rect
def draw_text(surface, message, font_size, center_position, color=(255, 255, 255)):
font = pygame.font.Font('freesansbold.ttf', font_size)
text = font.render(message, True, color)
text_rect = text.get_rect()
text_rect.center = center_position
surface.blit(text... | Python | zaydzuhri_stack_edu_python |
function process_compile_entries processor spec entries modpath_logger=none targetpath_logger=none
begin
string The generalized raw spec entry process invocation loop.
comment Contains a mapping of the module name to the compiled file's
comment relative path starting from the base build_dir.
set all_modpaths = dict
se... | def process_compile_entries(
processor, spec, entries, modpath_logger=None, targetpath_logger=None):
"""
The generalized raw spec entry process invocation loop.
"""
# Contains a mapping of the module name to the compiled file's
# relative path starting from the base build_dir.
all_modpa... | Python | jtatman_500k |
function _get_audio_from_microphone self
begin
set audio = none
if _microphone is not none
begin
with _microphone as source
begin
print string Ready for command...
call adjust_for_ambient_noise source
set audio = call listen source
print format string Audio data = {} audio
end
end
return audio
end function | def _get_audio_from_microphone(self):
audio = None
if self._microphone is not None:
with self._microphone as source:
print('Ready for command...')
self._recognizer.adjust_for_ambient_noise(source)
audio = self._recognizer.listen(source)
... | Python | nomic_cornstack_python_v1 |
function load_game_data self
begin
set factory_service = call FactoryService
set factory_service = factory_service
set character_factory = call CharacterFactory factory_service=factory_service
set character_factory = character_factory
set character_factory = character_factory
set item_factory = call ItemFactory
end fun... | def load_game_data(self):
self.game_context.factory_service = FactoryService()
factory_service = self.game_context.factory_service
character_factory = CharacterFactory(factory_service=self.game_context.factory_service)
factory_service.character_factory = character_factory
self.ga... | Python | nomic_cornstack_python_v1 |
import time , datetime
import sys
import traceback
function formatExceptionInfo maxTBlevel=5
begin
set tuple cla exc trbk = call exc_info
set excName = __name__
try
begin
set excArgs = __dict__ at string args
end
except KeyError
begin
set excArgs = string <no args>
end
set excTb = call format_tb trbk maxTBlevel
return ... | import time, datetime
import sys
import traceback
def formatExceptionInfo(maxTBlevel=5):
cla, exc, trbk = sys.exc_info()
excName = cla.__name__
try:
excArgs = exc.__dict__["args"]
except KeyError:
excArgs = "<no args>"
excTb = traceback.format_tb(trbk, maxTBlevel)
return (excNam... | Python | zaydzuhri_stack_edu_python |
function getLandingUrlSearchEngine articleData
begin
try
begin
return call _getLandingUrlSearchEngine articleData
end
except pubGetError
begin
comment already captured
raise
end
except Exception as ex
begin
exception ex
comment capture information on what happened to save to docStatus.tab
raise call pubGetError format ... | def getLandingUrlSearchEngine(articleData):
try:
return _getLandingUrlSearchEngine(articleData)
except pubGetError:
raise # already captured
except Exception as ex:
logging.exception(ex)
# capture information on what happened to save to docStatus.tab
raise pubGetErr... | Python | nomic_cornstack_python_v1 |
while true
begin
set aux = input
set value = integer aux
if value < 0
begin
break
end
set soma = soma + value
set n_p = n_p + 1
end
print string %.2f % soma / n_p | while True:
aux = input()
value = int(aux)
if value < 0:
break
soma += value
n_p += 1
print("%.2f" % (soma / n_p))
| Python | zaydzuhri_stack_edu_python |
function set_cell self row col obj
begin
if is instance obj JavaObject
begin
set obj = jobject
end
call jobject string setCell string (IILjava/lang/Object;)V row col obj
end function | def set_cell(self, row, col, obj):
if isinstance(obj, JavaObject):
obj = obj.jobject
javabridge.call(
self.jobject, "setCell", "(IILjava/lang/Object;)V", row, col, obj) | Python | nomic_cornstack_python_v1 |
function forward self x
begin
set X = concatenate tuple ones tuple shape at 0 1 x axis=1
set W = concatenate tuple b w axis=0
set a = dot X W
return a
raise call NotImplementedError string Layer forward pass not implemented.
end function | def forward(self, x):
X = np.concatenate((np.ones((x.shape[0],1)), x), axis = 1)
W = np.concatenate((self.b, self.w), axis = 0)
self.a = np.dot(X,W)
return self.a
raise NotImplementedError("Layer forward pass not implemented.") | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment GET Unique hostnames from OpenPhish
import requests
set URL_DATA = string https://openphish.com/feed.txt
set resp = get requests URL_DATA
set urls = list split text string
print string Hay { length urls } urls de phishing.
set urls_unicas = list
for url in urls
begin
set url = rep... | # -*- coding: utf-8 -*-
# GET Unique hostnames from OpenPhish
import requests
URL_DATA = "https://openphish.com/feed.txt"
resp = requests.get(URL_DATA)
urls = list(resp.text.split("\n"))
print(f"Hay {len(urls)} urls de phishing.")
urls_unicas = []
for url in urls:
url = url.replace("https://","")
url =... | Python | zaydzuhri_stack_edu_python |
function data_save self name color_by=0
begin
set save_path = join path data_dir name + string .data
comment point [type, x, y, z, color]
set points = zeros shape
set points at tuple slice : : 0 = points at tuple slice : : 5
set points at tuple slice : : slice 1 : 4 : = points at tuple slice : : slice 1 : ... | def data_save(self, name, color_by=0):
self.save_path = os.path.join(self.data_dir, name+'.data')
#point [type, x, y, z, color]
points = np.zeros(self.points[:,0:5].shape)
points[:,0] = self.points[:,5]
points[:,1:4] = self.points[:,1:4]
points[:,4] = self.points[:,9]
bonds = np.zeros(self.links[:,0:2].sh... | Python | nomic_cornstack_python_v1 |
function get_latest_photos self count=30 page=1
begin
set uri = string photos/latest
set options = dict string per_page count ; string page page
return call make_request uri options
end function | def get_latest_photos(self, count = 30, page = 1):
uri = 'photos/latest'
options = { 'per_page': count, 'page': page }
return self.make_request(uri, options) | Python | nomic_cornstack_python_v1 |
import csv
from src.portfolio import naive_portfolio
from src import event
class StopLossTakeProfit extends NaivePortfolio
begin
string " Naive Portfolio with a Stop Loss and Take Profit.
function __init__ self events equity
begin
set events = events
set holdings = dict
set updated_list = dict
set history = list
set... | import csv
from src.portfolio import naive_portfolio
from src import event
class StopLossTakeProfit(naive_portfolio.NaivePortfolio):
"""" Naive Portfolio with a Stop Loss and Take Profit."""
def __init__(self, events, equity):
self.events = events
self.holdings = {}
self.updated_list ... | Python | zaydzuhri_stack_edu_python |
function get tgt fun tgt_type=string glob roster=string flat
begin
string Get data from the mine based on the target, function and tgt_type This will actually run the function on all targeted minions (like publish.publish), as salt-ssh clients can't update the mine themselves. We will look for mine_functions in the ros... | def get(tgt, fun, tgt_type='glob', roster='flat'):
'''
Get data from the mine based on the target, function and tgt_type
This will actually run the function on all targeted minions (like
publish.publish), as salt-ssh clients can't update the mine themselves.
We will look for mine_functions in the ... | Python | jtatman_500k |
from tqdm.auto import tqdm
class Explainer
begin
function __init__ self model recommendations data
begin
set model = model
set recommendations = recommendations
set dataset = dataset
set num_items = num_item
set num_users = num_user
set users = group by dataset by=string userId
end function
function explain_recommendat... | from tqdm.auto import tqdm
class Explainer:
def __init__(self, model, recommendations, data):
self.model = model
self.recommendations = recommendations
self.dataset = data.dataset
self.num_items = data.num_item
self.num_users = data.num_user
self.users = self.datase... | Python | zaydzuhri_stack_edu_python |
import os
import sqlite3
set veritabani = string kitaplik.sqlite
set dosya_mevcut = exists path veritabani
set vt = call connect veritabani
set imlec = call cursor
execute imlec string UPDATE kitap_bilgisi SET begeni = '****' WHERE begeni='***'
execute imlec string UPDATE kitap_bilgisi SET okunma_durumu = 'evet' WHERE ... | import os
import sqlite3
veritabani = 'kitaplik.sqlite'
dosya_mevcut = os.path.exists(veritabani)
vt = sqlite3.connect(veritabani)
imlec = vt.cursor()
imlec.execute("UPDATE kitap_bilgisi SET begeni = '****' WHERE begeni='***'")
imlec.execute("UPDATE kitap_bilgisi SET okunma_durumu = 'evet' WHERE okunma_du... | Python | zaydzuhri_stack_edu_python |
import argparse
from record import Record , BadRecord
from donors import Donors
from donations import RepeatDonations
class AnalyticsApp extends object
begin
function __init__ self ofname perc verbosity=1
begin
string Constructor :param ofname: output file name :param perc: percentile value (> 0 and <= 100) :param verb... | import argparse
from record import Record, BadRecord
from donors import Donors
from donations import RepeatDonations
class AnalyticsApp(object):
def __init__(self, ofname, perc, verbosity=1):
"""
Constructor
:param ofname: output file name
:param perc: percentile value (>... | Python | zaydzuhri_stack_edu_python |
function execute_dmls self sqls
begin
set cnx = call connect user=__user password=__pwd host=__db_host port=__db_port database=__db
set cursor = call cursor
try
begin
comment print("insert begin")
print string DML sql begin + sqls
execute cursor sqls
comment map(cursor.execute, sqls)
commit cnx
end
comment print("inser... | def execute_dmls(self, sqls):
cnx = mysql.connector.connect(user=self.__user, password=self.__pwd, host=self.__db_host,port=self.__db_port, database=self.__db)
cursor = cnx.cursor()
try:
# print("insert begin")
print("DML sql begin " + sqls)
cursor.execute(s... | Python | nomic_cornstack_python_v1 |
function test_1 self
begin
set chem_file1 = join path call get_path string tools string data string diffmodels string chem1.inp
set dict_file1 = join path call get_path string tools string data string diffmodels string species_dictionary1.txt
set chem_file2 = join path call get_path string tools string data string diff... | def test_1(self):
chem_file1 = os.path.join(rmgpy.get_path(), 'tools', 'data', 'diffmodels', 'chem1.inp')
dict_file1 = os.path.join(rmgpy.get_path(), 'tools', 'data', 'diffmodels', 'species_dictionary1.txt')
chem_file2 = os.path.join(rmgpy.get_path(), 'tools', 'data', 'diffmodels', 'chem2.inp')... | Python | nomic_cornstack_python_v1 |
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