code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
class Node
begin
function __init__ self value parent=none
begin
set _value = value
set _parent = parent
set _left = none
set _right = none
set _traverse_func = lambda v -> print string Node value: { v }
end function
function set_parent self parent
begin
set _parent = parent
set _traverse_func = _traverse_func
end funct... | class Node:
def __init__(self, value, parent=None):
self._value = value
self._parent = parent
self._left = None
self._right = None
self._traverse_func = lambda v: print(f'Node value: {v}')
def set_parent(self, parent):
self._parent = parent
self._traverse... | Python | zaydzuhri_stack_edu_python |
function _list self uri obj_class=none list_all=false
begin
string Handles the communication with the API when getting a full listing of the resources managed by this class.
set tuple resp resp_body = call _retry_get uri
if obj_class is none
begin
set obj_class = resource_class
end
set data = resp_body at plural_respon... | def _list(self, uri, obj_class=None, list_all=False):
"""
Handles the communication with the API when getting
a full listing of the resources managed by this class.
"""
resp, resp_body = self._retry_get(uri)
if obj_class is None:
obj_class = self.resource_clas... | Python | jtatman_500k |
import os
import pandas as pd
import win32com.client as win32
from datetime import datetime
class PathBuilder extends object
begin
function __init__ self folder file
begin
set folder = folder
set file = file
end function
function build self
begin
set current_path = directory name path absolute path path __file__
set fi... | import os
import pandas as pd
import win32com.client as win32
from datetime import datetime
class PathBuilder(object):
def __init__(self, folder, file) -> None:
self.folder = folder
self.file = file
def build(self):
current_path = os.path.dirname(os.path.abspath(__file__))
fil... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -------------------------------
comment projects/collatz/TestCollatz.py
comment Copyright (C) 2011
comment Glenn P. Downing
comment -------------------------------
string To test the program: % python TestCollatz.py > TestCollatz.py.out % chmod ugo+x TestCollatz.py % TestCollatz.py ... | #!/usr/bin/env python
# -------------------------------
# projects/collatz/TestCollatz.py
# Copyright (C) 2011
# Glenn P. Downing
# -------------------------------
"""
To test the program:
% python TestCollatz.py > TestCollatz.py.out
% chmod ugo+x TestCollatz.py
% TestCollatz.py > TestCollatz.py.out
"""
... | Python | zaydzuhri_stack_edu_python |
function extractHiddenFormElts self formBody
begin
set hiddenFldRE = compile string <input.*?type="hidden".*?> M ? I ? S
set hiddenFldNameRE = compile string name="(.*?)"[ >] M ? I
set hiddenFldValueRE = compile string value="(.*?)"[ >] M ? I
comment find each hidden element
set hiddenFldTags = find all formBody
set hi... | def extractHiddenFormElts(self, formBody):
hiddenFldRE = re.compile('<input.*?type="hidden".*?>', re.M|re.I|re.S)
hiddenFldNameRE = re.compile('name="(.*?)"[ >]', re.M|re.I)
hiddenFldValueRE = re.compile('value="(.*?)"[ >]', re.M|re.I)
# find each hidden element
hiddenFldT... | Python | nomic_cornstack_python_v1 |
function ingest_project project_id version=none
begin
set container_path = project_id
if version
begin
set container_path = format string {}v{} container_path string version
end
call fedora_post container_path
set project_meta = call format_metadata_for_fedora project_id version=version
set res = call fedora_update con... | def ingest_project(project_id, version=None):
container_path = project_id
if version:
container_path = '{}v{}'.format(container_path, str(version))
fedora_post(container_path)
project_meta = format_metadata_for_fedora(project_id, version=version)
res = fedora_update(container_path, project_m... | Python | nomic_cornstack_python_v1 |
function tom_text_rendering
begin
comment turn the file-specific rendering on
set g_tom_text_rendering at string on = true
comment we need latex and unicode to be safe
call rc string text usetex=true
string make the normal font Helvetica : stackoverflow.com/questions/11367736/matplotlib-consistent-font-using-latex
set ... | def tom_text_rendering():
# turn the file-specific rendering on
g_tom_text_rendering['on'] = True
# we need latex and unicode to be safe
mpl.rc('text', usetex=True)
"""
make the normal font Helvetica :
stackoverflow.com/questions/11367736/matplotlib-consistent-font-using-latex
"""
... | Python | nomic_cornstack_python_v1 |
function _get_compile_components self compile_obj accelerators=tuple
begin
comment get includes
set includes = call _get_includes includes accelerators
set inc_flags = call _insert_prefix_to_list includes string -I
comment Get dependencies (.o/.a)
set m_code = call _get_dependencies extra_modules accelerators
comment G... | def _get_compile_components(self, compile_obj, accelerators = ()):
# get includes
includes = self._get_includes(compile_obj.includes, accelerators)
inc_flags = self._insert_prefix_to_list(includes, '-I')
# Get dependencies (.o/.a)
m_code = self._get_dependencies(compile_obj.ext... | Python | nomic_cornstack_python_v1 |
function generateBirthDates np
begin
for i in range 0 100 10
begin
set rng = string i + string - + string i + 10 - 1
set perc = ageRange at rng
for j in range 0 round perc * np / 100
begin
set year = random choice range 2014 - i + 10 2014 - i
set month = random choice range 1 13
set day = random choice range 1 29
set b... | def generateBirthDates (np) :
for i in range(0, 100, 10) :
rng = str(i)+"-"+str(i+10-1)
perc = ageRange[rng]
for j in range (0, round((perc*np)/100)) :
year = random.choice(range(2014-(i+10), 2014-i))
month = random.choice(range(1, 13))
day = random.choice... | Python | nomic_cornstack_python_v1 |
function compile_relax database mod target params
begin
comment pylint: disable=import-outside-toplevel
from tvm.relax.transform import BindParams , MetaScheduleApplyDatabase
from tvm.relax import build as relax_build
comment pylint: enable=import-outside-toplevel
if not is instance target Target
begin
set target = cal... | def compile_relax(
database: Database,
mod: IRModule,
target: Union[Target, str],
params: Optional[Dict[str, NDArray]],
) -> "relax.Executable":
# pylint: disable=import-outside-toplevel
from tvm.relax.transform import BindParams, MetaScheduleApplyDatabase
from tvm.relax import build as rela... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment countasync.py
string Take the code from wait_n and alter it into a new function task_wait_n. The code is nearly identical to wait_n except task_wait_random is being called.
import asyncio
import random
from typing import List
set task_wait_random = task_wait_random
async function t... | #!/usr/bin/env python3
# countasync.py
"""
Take the code from wait_n and alter it into a new
function task_wait_n. The code is nearly identical
to wait_n except task_wait_random is being called.
"""
import asyncio
import random
from typing import List
task_wait_random = __import__('3-tasks').task_wait_random
async de... | Python | zaydzuhri_stack_edu_python |
function clearModel self
begin
set cells = zeros tuple 50 86
set aliveCells = sum cells == 1
set generation = 0
return cells
end function | def clearModel(self):
self.cells = np.zeros((50,86))
self.aliveCells = np.sum(self.cells == 1)
self.generation = 0
return self.cells | Python | nomic_cornstack_python_v1 |
comment This is a bot for scraping text data from mIRC channels
comment This is meant to automate the task of receiving MGRS grid data,
comment Decoding the 6,8, or 10 digit MGRS into a LAT/LONG
comment Encoding that LAT/LONG data in an XML string
comment And finally, pushing that XML string to a socket where it can be... | # This is a bot for scraping text data from mIRC channels
# This is meant to automate the task of receiving MGRS grid data,
# Decoding the 6,8, or 10 digit MGRS into a LAT/LONG
# Encoding that LAT/LONG data in an XML string
# And finally, pushing that XML string to a socket where it can be used
# To make a blip ap... | Python | zaydzuhri_stack_edu_python |
string @PETER HALLDESTAM, 2020 Construction and training of a neural network. Easy to make changes to any parameters and most importantly to implements different structures.
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import EarlyStopping , ModelCheckpoint
import numpy as np
import sys
... | """ @PETER HALLDESTAM, 2020
Construction and training of a neural network. Easy to make changes to any
parameters and most importantly to implements different structures.
"""
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
import numpy ... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
comment -*-coding:utf-8-*-
string 全局变量和局部变量 全局变量和局部变量同时存在的时候 选择局部变量
comment 全局变量
set name = string xiaobao
function f1
begin
comment 对全局变量进行一个修正
global name
set name = string li
print name
end function
call f1
comment def f2():
comment # 局部变量
comment name='admin'
comment print(name)
commen... | #! /usr/bin/env python
#-*-coding:utf-8-*-
'''
全局变量和局部变量
全局变量和局部变量同时存在的时候 选择局部变量
'''
# 全局变量
name ='xiaobao'
def f1():
# 对全局变量进行一个修正
global name
name ='li'
print(name)
f1()
# def f2():
# # 局部变量
# name='admin'
# print(name)
# f2() | Python | zaydzuhri_stack_edu_python |
function plot_contact_maps self scaling_factor=10.0 filename=string contact_map.pdf
begin
import matplotlib as mpl
call use string Agg
import matplotlib.pylab as pl
import matplotlib.gridspec as gridspec
call get_number_of_residues rmf_A
comment Determine the number of residues per protein
set tot = 0
set nres = dict
... | def plot_contact_maps(self, scaling_factor=10.,
filename="contact_map.pdf"):
import matplotlib as mpl
mpl.use("Agg")
import matplotlib.pylab as pl
import matplotlib.gridspec as gridspec
self.get_number_of_residues(self.rmf_A)
# Determine the ... | Python | nomic_cornstack_python_v1 |
string cycle.py The Cycle class represents a data type for * determining whether an undirected graph has a simple cycle. * The has_cycle operation determines whether the graph has * a cycle and, if so, the cycle operation returns one. * * This implementation uses depth-first search. * The constructor takes Theta(V + E)... | """
cycle.py
The Cycle class represents a data type for
* determining whether an undirected graph has a simple cycle.
* The has_cycle operation determines whether the graph has
* a cycle and, if so, the cycle operation returns one.
*
* This implementation uses depth-first search.
* The constructor takes Thet... | Python | zaydzuhri_stack_edu_python |
comment leters and second helf in upper letters
comment if the length of str not slicing in helf
comment the lower letters small in one from the upper leters | # leters and second helf in upper letters
#### if the length of str not slicing in helf
#### the lower letters small in one from the upper leters
| Python | zaydzuhri_stack_edu_python |
comment Button, Tk, Entry, StringVar
from tkinter import *
comment globally variable
set expression = string
comment combine key inputs into expression then set to String Variable named equation. ref ln61/62
function press num
begin
comment re-define the global variable
global expression
comment concatenate strings
se... | from tkinter import * # Button, Tk, Entry, StringVar
# globally variable
expression = ""
# combine key inputs into expression then set to String Variable named equation. ref ln61/62
def press(num):
# re-define the global variable
global expression
# concatenate strings
expression = express... | Python | zaydzuhri_stack_edu_python |
comment 这是一个稍微复杂一些的加解密算法，这套算法将不再拥有确定的规则组，替换规则将基于所关联的密码生成，不提供密码将无法解密文本。
comment 该算法安全性相对更高，但也需要更复杂的处理程序。
import random
comment 将密码处理生成唯一的替换规则
function PasswordHandle password
begin
set replaceTextGroup = dict string 0 list ; string 1 list ; string list
set passwordGroup = list
set num = 0
for i in password
begin
se... | ###
# 这是一个稍微复杂一些的加解密算法，这套算法将不再拥有确定的规则组，替换规则将基于所关联的密码生成，不提供密码将无法解密文本。
# 该算法安全性相对更高，但也需要更复杂的处理程序。
###
import random
def PasswordHandle(password):#将密码处理生成唯一的替换规则
replaceTextGroup = {"0":[],"1":[]," ":[]}
passwordGroup = []
num = 0
for i in password:
num += 1
addASCIINum = (... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Thu Jul 30 14:21:25 2015 @author: chemistry
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import mlab as mlab
set data = load np string FallData/D02-S02-E99-RE10-PFAC99-500k.npz
set Nice = data at string Nice
set Niceoffset = data at string Niceo... | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 30 14:21:25 2015
@author: chemistry
"""
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import mlab as mlab
data = np.load('FallData/D02-S02-E99-RE10-PFAC99-500k.npz')
Nice = data['Nice']
Niceoffset = data['Niceoffset']
Fliq = data['Fliq']
x = da... | Python | zaydzuhri_stack_edu_python |
comment vocab.py
comment A class for storing vocabulary information and encoding words as integers
from __future__ import print_function
from __future__ import division
import numpy as np
from collections import Counter
class Vocab extends object
begin
function __init__ self fn zero=none unk=none alpha=0.25
begin
strin... | # vocab.py
# A class for storing vocabulary information and encoding words as integers
from __future__ import print_function
from __future__ import division
import numpy as np
from collections import Counter
class Vocab(object):
def __init__(self, fn, zero=None, unk=None, alpha=0.25):
"""
fn shoul... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment coding: UTF-8
import numpy as np
import matplotlib.pyplot as plt
import math
comment データを読み込む
set f = open string iris_dataset.txt
set data1 = read f
close f
set lines1 = split data1 | #!/usr/bin/python
# coding: UTF-8
import numpy as np
import matplotlib.pyplot as plt
import math
#データを読み込む
f = open('iris_dataset.txt')
data1 = f.read()
f.close()
lines1 = data1.split() | Python | zaydzuhri_stack_edu_python |
function available_selectors self
begin
return keys _selectors
end function | def available_selectors(self):
return self._selectors.keys() | Python | nomic_cornstack_python_v1 |
function test_reset_unknown_counter self
begin
set resp = put string /counters/ { TEST_COUNTER } /reset
assert equal status_code HTTP_404_NOT_FOUND
end function | def test_reset_unknown_counter(self):
resp = self.app.put(f"/counters/{TEST_COUNTER}/reset")
self.assertEqual(resp.status_code, status.HTTP_404_NOT_FOUND) | Python | nomic_cornstack_python_v1 |
function _encode_multipart_formdata self fields files
begin
set BOUNDARY = call choose_boundary
set content = list
set fields = fields or dict
set files = files or dict
for key in fields
begin
append content string -- + BOUNDARY + string
append content string Content-Disposition: form-data; name="%s" % key
append co... | def _encode_multipart_formdata(self, fields, files):
BOUNDARY = mimetools.choose_boundary()
content = []
fields = fields or {}
files = files or {}
for key in fields:
content.append('--' + BOUNDARY + '\r\n')
content.append('Content-Disposition: form-data; name="%s"\r\n' % key)
... | Python | nomic_cornstack_python_v1 |
string @program: ProcessRGB.py @description: 利用Gamma变换处理rgb图像 @author: doubleZ @create: 2019/11/09
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from src.GammaTransform.GammaTransform import GammaTransform
import numpy as np
function process_rgb filename
begin
set I = call imread filename
figure
imag... | '''
@program: ProcessRGB.py
@description: 利用Gamma变换处理rgb图像
@author: doubleZ
@create: 2019/11/09
'''
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from src.GammaTransform.GammaTransform import GammaTransform
import numpy as np
def process_rgb(filename):
I = mpimg.imread(filename)
plt.fig... | Python | zaydzuhri_stack_edu_python |
function __integrity_check self
begin
comment type: () -> None
if _cmdows_path is none
begin
raise call ValueError string No CMDOWS file specified!
end
end function | def __integrity_check(self):
# type: () -> None
if self._cmdows_path is None:
raise ValueError('No CMDOWS file specified!') | Python | nomic_cornstack_python_v1 |
import random
import sys
from socket import *
set port = integer argv at 1
set server_socket = call socket AF_INET SOCK_DGRAM
comment bind() is used to associate the socket with a specific network interface and port number
call bind tuple string port
while true
begin
set rand = random integer 0 10
comment bufsize - Th... | import random
import sys
from socket import *
port = int(sys.argv[1])
server_socket = socket(AF_INET, SOCK_DGRAM)
# bind() is used to associate the socket with a specific network interface and port number
server_socket.bind(('', port))
while True:
rand = random.randint(0, 10)
# bufsize - The number of bytes ... | Python | zaydzuhri_stack_edu_python |
async function kang args
begin
set kang_meme = random choice KANGING_STR
set user = await call get_me
if not username
begin
set username = first_name
end
set message = await call get_reply_message
set photo = none
set emojibypass = false
set is_anim = false
set emoji = none
if message and media
begin
if is instance med... | async def kang(args):
kang_meme = random.choice(KANGING_STR)
user = await bot.get_me()
if not user.username:
user.username = user.first_name
message = await args.get_reply_message()
photo = None
emojibypass = False
is_anim = False
emoji = None
if message and message.media:
... | Python | nomic_cornstack_python_v1 |
function write_info self
begin
call add_scalar string Loss loss epoch
call add_scalar string Win Rate wins / epoch epoch
call add_scalar string Move Time avg_move_time epoch
call add_scalar string Number of Moves number_of_moves epoch
flush writer
end function | def write_info(self):
self.writer.add_scalar('Loss', self.loss, self.epoch)
self.writer.add_scalar('Win Rate', self.wins/self.epoch, self.epoch)
self.writer.add_scalar('Move Time', self.avg_move_time, self.epoch)
self.writer.add_scalar('Number of Moves', self.number_of_moves, self.epoch)... | Python | nomic_cornstack_python_v1 |
function yes_no_none row
begin
if length row at string planet_classification0 == 0
begin
set val = string No
end
else
begin
set val = string Yes
end
return val
end function | def yes_no_none(row):
if len(row['planet_classification0']) == 0:
val = "No"
else:
val = "Yes"
return val | Python | nomic_cornstack_python_v1 |
function get_state_reward_all self tag
begin
set tuple p counts = call _get_cluster_distribution_all tag
set reward = call _get_KL p
set dist = p at 0 * diff np p at 1
set state = call tolist
return list state reward counts
end function | def get_state_reward_all(self, tag):
p, counts = self._get_cluster_distribution_all(tag)
reward = self._get_KL(p)
dist = p[0] * np.diff(p[1])
state = dist.tolist()
return [state, reward, counts] | Python | nomic_cornstack_python_v1 |
function _start_redash_query self query_id query_params
begin
set url_inputs = dict string redash_host redash_host ; string query_id query_id
set query_url = format REDASH_SUBMIT_QUERY_ENDPOINT keyword url_inputs
set resp = post query_url json=query_params headers=headers
set resp_json = json resp
debug string Response... | def _start_redash_query(self, query_id: int, query_params: Dict) -> Tuple[Any, bool]:
url_inputs = {'redash_host': self.redash_host, 'query_id': query_id}
query_url = REDASH_SUBMIT_QUERY_ENDPOINT.format(**url_inputs)
resp = r.post(query_url, json=query_params, headers=self.headers)
resp... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
import unittest
function extract data
begin
return list comprehension list split line at 0 integer split line at 1 for line in split data string
end function
function count_until_loop instructions
begin
set program_pointer = 0
set pointer_prev_locations = list
set accumulator = 0
while pr... | #!/usr/bin/env python3
import unittest
def extract(data):
return [[line.split()[0], int(line.split()[1])] for line in data.split("\n")]
def count_until_loop(instructions):
program_pointer = 0
pointer_prev_locations = []
accumulator = 0
while program_pointer not in pointer_prev_locations:
... | Python | zaydzuhri_stack_edu_python |
from src.season2021.optimizer import get_best_team_for_GP
from src.season2021.config import GPs
if __name__ == string __main__
begin
comment Your budget at the end of last GP
set budget = 103
comment The target GP
set GP = string Spain
comment Expectation or actual results
set expectation = false
comment Names of drive... | from src.season2021.optimizer import get_best_team_for_GP
from src.season2021.config import GPs
if __name__ == '__main__':
# Your budget at the end of last GP
budget = 103
# The target GP
GP = "Spain"
# Expectation or actual results
expectation = False
# Names of drivers and constructors to... | Python | zaydzuhri_stack_edu_python |
from enum import Enum
class SeverityCategoryCode extends int Enum
begin
set I : int = 10
set II : int = 7
set III : int = 4
decorator staticmethod
function getMember value
begin
for member in SeverityCategoryCode
begin
if value == value
begin
return member
end
end
end function
end class | from enum import Enum
class SeverityCategoryCode(int,Enum):
I:int = 10
II:int = 7
III:int = 4
@staticmethod
def getMember(value: int):
for member in SeverityCategoryCode:
if member.value == value:
return member | Python | zaydzuhri_stack_edu_python |
set idade = integer input string Digite a idade do seu carro:
set resultado = if expression idade <= 3 then string Seu carro é novo else string Seu carro é velho
print resultado
set num = integer input string Digite um número inteiro maior que 0:
print if expression num % 2 == 0 then string Par else string Ímpar | idade = int(input("Digite a idade do seu carro: "))
resultado = 'Seu carro é novo' if idade <= 3 else 'Seu carro é velho'
print(resultado)
num = int(input('Digite um número inteiro maior que 0: '))
print('Par' if num % 2 == 0 else 'Ímpar')
| Python | zaydzuhri_stack_edu_python |
import numpy as np
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
comment plots intensity fit for MDRE model
function plotIntensityFit
begin
with open string time_series_mdre_relaxation_oscillations.txt string r as file
begin
set lines = read lines file
end
set time = list
set intensity = list
f... | import numpy as np
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
# plots intensity fit for MDRE model
def plotIntensityFit ():
with open("time_series_mdre_relaxation_oscillations.txt", "r") as file:
lines = file.readlines()
time = []
intensity = []
for line in lines:
time.... | Python | zaydzuhri_stack_edu_python |
function _compare_job_function self sd_employment mo_engagement
begin
set mo_job_function_id = mo_engagement at string job_function at string user_key
set sd_job_position_id = sd_employment at string Profession at string JobPositionIdentifier
set is_ok = mo_job_function_id == sd_job_position_id
return tuple string job_... | def _compare_job_function(self, sd_employment, mo_engagement):
mo_job_function_id = mo_engagement["job_function"]["user_key"]
sd_job_position_id = sd_employment["Profession"]["JobPositionIdentifier"]
is_ok = mo_job_function_id == sd_job_position_id
return "job_function", is_ok | Python | nomic_cornstack_python_v1 |
function attack self other
begin
print name string attacks name
set damage = strenght * 1.0 - defense
print string damage: damage
set hp = hp - damage
print name + string 's remaining health: hp
print string ----------
end function | def attack(self, other):
print(self.name, "attacks", other.name)
damage = self.strenght*(1.-other.defense)
print("damage: ", damage)
other.hp -= damage
print(other.name+"'s remaining health: ", other.hp,)
print("----------") | Python | nomic_cornstack_python_v1 |
function _get_number_of_hours self
begin
if date_to
begin
set DATETIME_FORMAT = string %Y-%m-%d %H:%M:%S
set from_dt = string parse time date_from DATETIME_FORMAT
set to_dt = string parse time date_to DATETIME_FORMAT
set timedelta = to_dt - from_dt
set diff_day = decimal seconds / 3600 - break_hour
set number_of_hours_... | def _get_number_of_hours(self):
if self.date_to:
DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S"
from_dt = datetime.strptime(self.date_from, DATETIME_FORMAT)
to_dt = datetime.strptime(self.date_to, DATETIME_FORMAT)
timedelta = to_dt - from_dt
diff_day =(float(ti... | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
import sys
append path string ..
from Question_01_10.q2 import Gray
set channel = 3
function band_pass_filter _G ratio=0.1 ratio2=0.5
begin
set tuple H W _ = shape
print H W
set y = reshape repeat W H - 1
set x = call tile array range W tuple H 1
comment make filter
set _x = x - W // 2
set... | import cv2
import numpy as np
import sys
sys.path.append("..")
from Question_01_10.q2 import Gray
channel = 3
def band_pass_filter(_G, ratio = 0.1, ratio2 = 0.5):
H, W, _ = _G.shape
print(H,W)
y = np.arange(H).repeat(W).reshape(H,-1)
x = np.tile(np.arange(W), (H,1))
# make filter
_x = x - W/... | Python | zaydzuhri_stack_edu_python |
from main import db
from sqlalchemy import Column , Integer , String , Float , ForeignKey , DECIMAL
class Reviewer extends Model
begin
set __tablename__ = string reviewers
set id = call Column Integer primary_key=true autoincrement=true nullable=false
set first_name = call Column String nullable=false
set last_name = c... | from main import db
from sqlalchemy import Column, Integer, String, Float, ForeignKey, DECIMAL
class Reviewer(db.Model):
__tablename__ = "reviewers"
id = Column(Integer, primary_key=True, autoincrement=True, nullable=False)
first_name = Column(String, nullable=False)
last_name = Column(String, nullabl... | Python | zaydzuhri_stack_edu_python |
import plotly
import plotly.graph_objs as go
import numpy as np
import tools.utils
set ITERORBIT = 300
set ITERANIM = 300
set rmax = 249230000.0 * 1.1
class PlotManager3D
begin
string 3D Plot manager based on plotly due to matplotlib's poor 3D performance currently supports : - Plotting of bodies - Plotting of elliptic... | import plotly
import plotly.graph_objs as go
import numpy as np
import tools.utils
ITERORBIT = 300
ITERANIM = 300
rmax = 2.4923E+8*1.1
class PlotManager3D:
"""
3D Plot manager based on plotly due to matplotlib's poor 3D performance
currently supports :
- Plotting of bodies
- Plotting of elliptica... | Python | zaydzuhri_stack_edu_python |
string Ejercicio 3.18: Lectura de los árboles de un parque Definí una función leer_parque(nombre_archivo, parque) que abra el archivo indicado y devuelva una lista de diccionarios con la información del parque especificado. La función debe devolver, en una lista un diccionario con todos los datos por cada árbol del par... | """
Ejercicio 3.18: Lectura de los árboles de un parque
Definí una función leer_parque(nombre_archivo, parque) que abra el archivo indicado y devuelva una lista de diccionarios con la información del parque especificado. La función debe devolver, en una lista un diccionario con todos los datos por cada árbol del pa... | Python | zaydzuhri_stack_edu_python |
import requests
import json
import sqlite3
comment Make a GET request to the API
set response = get requests url
set data = json response
comment Save the data to a database
set conn = call connect string data.db
set c = call cursor
for item in data
begin
execute c string INSERT INTO items VALUES (?, ?) tuple item at s... | import requests
import json
import sqlite3
# Make a GET request to the API
response = requests.get(url)
data = response.json()
# Save the data to a database
conn = sqlite3.connect('data.db')
c = conn.cursor()
for item in data:
c.execute("INSERT INTO items VALUES (?, ?)", (item['id'], item['name']))
conn.commit()
... | Python | iamtarun_python_18k_alpaca |
function vars self
begin
return list
end function | def vars(self):
return [] | Python | nomic_cornstack_python_v1 |
function get_b64_from_data data
begin
set b64_from_data = none
try
begin
set b64_from_data = base64 encode data
end
except any
begin
print string Could not read data to compute base64 string.
end
return b64_from_data
end function | def get_b64_from_data(data):
b64_from_data = None
try:
b64_from_data = base64.b64encode(data)
except:
print("Could not read data to compute base64 string.")
return b64_from_data | Python | nomic_cornstack_python_v1 |
function _init_extension_classes self
begin
set _extension_classes = ordered dictionary list comprehension tuple ext_class call ExtensionClassMetadata self ext_class list comprehension option_id for config_option in sorted config_options key=lambda c -> key if call include_config_option_id option_id list comprehension ... | def _init_extension_classes(self):
self._extension_classes = OrderedDict(
[
(
ext_class,
ExtensionClassMetadata(
self,
ext_class,
[
config_optio... | Python | nomic_cornstack_python_v1 |
comment BUBBLE SORT
comment Swap every pair iteratively till array is sorted
comment O(n^2)
function bubble_sort arr
begin
function swap i j
begin
set tuple arr at i arr at j = tuple arr at j arr at i
end function
set n = length arr
set swapped = true
set end = n - 1
while swapped
begin
set swapped = false
for i in ran... | ### BUBBLE SORT
# Swap every pair iteratively till array is sorted
# O(n^2)
def bubble_sort(arr):
def swap(i, j):
arr[i], arr[j] = arr[j], arr[i]
n = len(arr)
swapped = True
end = n - 1
while swapped:
swapped = False
for i in range(end):
j ... | Python | zaydzuhri_stack_edu_python |
function get_time_bounds self
begin
set min_time = string %0.20f % call ex_eval string min(time)
set max_time = string %0.20f % call ex_eval string max(time)
return list string min_time string max_time
end function | def get_time_bounds(self):
min_time = "%0.20f" % self.table_join.ex_eval("min(time)")
max_time = "%0.20f" % self.table_join.ex_eval("max(time)")
return [str(min_time), str(max_time)] | Python | nomic_cornstack_python_v1 |
import nibabel as nib
import numpy as np
import matplotlib.pyplot as plt
import skimage.measure
import skimage.morphology
import scipy.signal
function SegmentationByTH nifty_file Imin Imax
begin
set img = load nib nifty_file
set img_data = call get_data
set in_range_values_flags = img_data > Imin ? img_data < Imax
set ... | import nibabel as nib
import numpy as np
import matplotlib.pyplot as plt
import skimage.measure
import skimage.morphology
import scipy.signal
def SegmentationByTH(nifty_file, Imin, Imax):
img = nib.load(nifty_file)
img_data = img.get_data()
in_range_values_flags = (img_data > Imin) & (img_data ... | Python | zaydzuhri_stack_edu_python |
async function init_integration hass mock_config_entry mock_tailscale
begin
call add_to_hass hass
await call async_setup entry_id
await call async_block_till_done
return mock_config_entry
end function | async def init_integration(
hass: HomeAssistant, mock_config_entry: MockConfigEntry, mock_tailscale: MagicMock
) -> MockConfigEntry:
mock_config_entry.add_to_hass(hass)
await hass.config_entries.async_setup(mock_config_entry.entry_id)
await hass.async_block_till_done()
return mock_config_entry | Python | nomic_cornstack_python_v1 |
function pre_emphasis signal coefficient=0.95
begin
set signal = call asarray signal dtype=string float32
return append np signal at 0 signal at slice 1 : : - coefficient * signal at slice : - 1 :
end function | def pre_emphasis(signal, coefficient=0.95):
signal = np.asarray(signal, dtype='float32')
return np.append(signal[0], signal[1:] - coefficient * signal[:-1]) | Python | nomic_cornstack_python_v1 |
from Crypto.PublicKey import RSA
from Crypto import Random
set random_generator = read
set key1 = call generate 1024 random_generator
comment key2 = RSA.generate(1024, random_generator)
set fmt = string PEM
set prv_key = call exportKey fmt
set pub_key = call exportKey fmt
with open string private.pem string wb as f
beg... | from Crypto.PublicKey import RSA
from Crypto import Random
random_generator = Random.new().read
key1 = RSA.generate(1024, random_generator)
#key2 = RSA.generate(1024, random_generator)
fmt='PEM'
prv_key=key1.exportKey(fmt)
pub_key=key1.publickey().exportKey(fmt)
with open('private.pem', 'wb') as f:
f.write(prv_k... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
from multiprocessing import Pool , BoundedSemaphore
import sys
import time
import cassandra
from cassandra.cluster import Cluster
from cassandra.query import tuple_factory , SimpleStatement
set lock = call BoundedSemaphore 6
class QueryManager extends object
begin
set batch_size = 10
functi... | #!/usr/bin/env python
from multiprocessing import Pool, BoundedSemaphore
import sys
import time
import cassandra
from cassandra.cluster import Cluster
from cassandra.query import tuple_factory, SimpleStatement
lock = BoundedSemaphore(6)
class QueryManager(object):
batch_size = 10
def __init__(self, cluste... | Python | zaydzuhri_stack_edu_python |
comment !/bin/python3
import math
import os
import random
import re
import sys
comment c=current
comment m=maximum or total
if __name__ == string __main__
begin
set n = integer input
set c = 0
set m = 0
while n > 0
begin
set r = n % 2
if r == 1
begin
set c = c + 1
if c > m
begin
set m = c
end
end
else
begin
set c = 0
e... | #!/bin/python3
import math
import os
import random
import re
import sys
# c=current
# m=maximum or total
if __name__ == '__main__':
n = int(input())
c=0
m=0
while(n>0):
r=n%2
if(r==1):
c+=1
if(c>m):
m=c
else:
c=0
n=n/... | Python | zaydzuhri_stack_edu_python |
for i in ls
begin
set sum = sum + i
end
print sum | for i in ls:
sum+=i
print(sum)
| Python | zaydzuhri_stack_edu_python |
function run_file self path all_errors_exit=true
begin
set path = call fixpath path
with call handling_errors all_errors_exit
begin
set module_vars = call run_file path
update vars module_vars
call store string from + base name path path + string import *
end
end function | def run_file(self, path, all_errors_exit=True):
path = fixpath(path)
with self.handling_errors(all_errors_exit):
module_vars = run_file(path)
self.vars.update(module_vars)
self.store("from " + os.path.basename(path) + " import *") | Python | nomic_cornstack_python_v1 |
function shared_folder_change_members_inheritance_policy_details cls val
begin
return call cls string shared_folder_change_members_inheritance_policy_details val
end function | def shared_folder_change_members_inheritance_policy_details(cls, val):
return cls('shared_folder_change_members_inheritance_policy_details', val) | Python | nomic_cornstack_python_v1 |
from django.db import models
comment Create your models here.
class CountryModel extends Model
begin
set Code = call CharField max_length=2
set Name = call TextField
end class
class TestModel extends Model
begin
set name = call CharField max_length=100
set test = call TextField
end class
class AirportModel extends Mode... | from django.db import models
# Create your models here.
class CountryModel(models.Model):
Code = models.CharField(max_length=2)
Name = models.TextField()
class TestModel(models.Model):
name = models.CharField(max_length=100)
test = models.TextField()
class AirportModel(models.Model):
Id = models... | Python | zaydzuhri_stack_edu_python |
function IsStrobogrammatic n
begin
set i = 0
set j = length n - 1
while i <= j
begin
if n at i == n at j
begin
if n at i not in list string 1 string 0 string 8
begin
return false
end
end
else
if n at i != string 6 or n at j != string 9 and n at i != string 9 or n at j != string 6
begin
return false
end
set i = i + 1
se... | def IsStrobogrammatic(n):
i = 0
j = len(n) - 1
while i <= j:
if n[i] == n[j]:
if n[i] not in ['1', '0', '8']:
return False
else:
if n[i] != '6' or n[j] != '9' and (n[i] != '9' or n[j] != '6'):
return False
i += 1
j -= 1
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment This script takes one filename as argument and opens a openwith gtk window
import sys
import os
import subprocess
import mimetypes
import gi
call require_version string Gtk string 3.0
from gi.repository import Gtk , Gdk
comment home = os.getenv("HOME")
class myWindow extends Window
... | #!/usr/bin/env python
# This script takes one filename as argument and opens a openwith gtk window
import sys
import os
import subprocess
import mimetypes
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Gdk
#home = os.getenv("HOME")
class myWindow(Gtk.Window):
def __init__(self):
... | Python | zaydzuhri_stack_edu_python |
function deallocateAllFlags self pluginName
begin
pass
end function | def deallocateAllFlags(self, pluginName):
pass | Python | nomic_cornstack_python_v1 |
from __future__ import absolute_import , division , print_function , unicode_literals
from six.moves import zip
from matplotlib.widgets import Cursor
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.ticker import NullLocator , LinearLocator
from matplotlib.colors import Normalize
from matplotlib.... | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from six.moves import zip
from matplotlib.widgets import Cursor
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.ticker import NullLocator, LinearLocator
from matplotlib.colors import Nor... | Python | zaydzuhri_stack_edu_python |
function substitute str callback desc=none hints=string caller=string substitute
begin
function callb cond s
begin
return call callback s
end function
if caller == none
begin
set caller = string substitute
end
return call substitute2 str callb desc hints=hints caller=caller
end function | def substitute(str, callback, desc=None, hints='', caller='substitute'):
def callb(cond, s):
return callback(s)
if caller == None:
caller = 'substitute'
return substitute2(str, callb, desc, hints=hints, caller=caller) | Python | nomic_cornstack_python_v1 |
function _make_aeff_hdu cls table_energy table_theta aeff
begin
set table = call Table dict string ENERG_LO data * unit ; string ENERG_HI data * unit ; string THETA_LO data * unit ; string THETA_HI data * unit ; string EFFAREA data at tuple newaxis slice : : slice : : * unit
set header = call Header
set header at... | def _make_aeff_hdu(cls, table_energy, table_theta, aeff):
table = Table(
{
"ENERG_LO": table_energy["ETRUE_LO"][np.newaxis, :].data
* table_energy["ETRUE_LO"].unit,
"ENERG_HI": table_energy["ETRUE_HI"][np.newaxis, :].data
* table_energy... | Python | nomic_cornstack_python_v1 |
function get_topic_prob_in_timestep bow_subset lda_model topic_ID
begin
comment Progress
print name
comment Get list of topic probs for docs in this timestep
set topic_probs = list comprehension call get_topic_prob bow_doc topic_ID lda_model for bow_doc in bow_subset
return call Series topic_probs
end function | def get_topic_prob_in_timestep(bow_subset, lda_model, topic_ID):
# Progress
print(multiprocessing.current_process().name)
# Get list of topic probs for docs in this timestep
topic_probs = [
get_topic_prob(bow_doc, topic_ID, lda_model)
for bow_doc in bow_subset
]
... | Python | nomic_cornstack_python_v1 |
function make_checkerboard_mask column_distance row_distance column_offset=0 row_offset=0 default=0 value=1
begin
string Generate chessboard/checkerboard mask. Parameters ---------- column_distance : int Column distance of the enabled pixels. row_distance : int Row distance of the enabled pixels. column_offset : int Ad... | def make_checkerboard_mask(column_distance, row_distance, column_offset=0, row_offset=0, default=0, value=1):
"""
Generate chessboard/checkerboard mask.
Parameters
----------
column_distance : int
Column distance of the enabled pixels.
row_distance : int
Row distance of... | Python | jtatman_500k |
import cv2 as cv
import numpy as np
set img = call imread string OpenCv/Photos/pic2.jpg
set res = call resize img dsize=tuple 500 750 interpolation=INTER_CUBIC
set gray = call cvtColor res COLOR_BGR2GRAY
image show string Gray gray
comment canny = cv.Canny(res, 125, 125)
comment cv.imshow('Canny', canny)
set tuple ret ... | import cv2 as cv
import numpy as np
img = cv.imread('OpenCv/Photos/pic2.jpg')
res = cv.resize(img, dsize=(500,750), interpolation=cv.INTER_CUBIC)
gray = cv.cvtColor(res, cv.COLOR_BGR2GRAY)
cv.imshow('Gray', gray)
# canny = cv.Canny(res, 125, 125)
# cv.imshow('Canny', canny)
ret, thresh = cv.threshold(gray, 125, 255... | Python | zaydzuhri_stack_edu_python |
function test_sealedbox_enc_dec test_data minion_opts
begin
comment Store the data
with patch string salt.runners.nacl.__opts__ minion_opts create=true
begin
set ret = call keygen
assert string pk in ret
assert string sk in ret
set pk = ret at string pk
set sk = ret at string sk
comment Encrypt with pk
set encrypted_da... | def test_sealedbox_enc_dec(test_data, minion_opts):
# Store the data
with patch("salt.runners.nacl.__opts__", minion_opts, create=True):
ret = nacl.keygen()
assert "pk" in ret
assert "sk" in ret
pk = ret["pk"]
sk = ret["sk"]
# Encrypt with pk
encrypted_da... | Python | nomic_cornstack_python_v1 |
function test_delete_pair name pref_names capacity
begin
set others = list comprehension call Player other list name for other in pref_names
for other in others
begin
set player = call Player name pref_names capacity
call delete_pair player other
assert set pref_names == set pref_names - set list name
assert pref_names... | def test_delete_pair(name, pref_names, capacity):
others = [Player(other, [name]) for other in pref_names]
for other in others:
player = Player(name, pref_names, capacity)
delete_pair(player, other)
assert set(player.pref_names) == set(pref_names) - set([other.name])
assert ot... | Python | nomic_cornstack_python_v1 |
function run_method self function_name *parameters
begin
set output_buffer = none
set save_to_output_buffer = true
call add_queued_method function_name *parameters
while output_buffer == none
begin
sleep PAUSE_DEBUG_WAIT_TIME
end
set save_to_output_buffer = false
call print_message output_buffer
end function | def run_method(self, function_name, *parameters):
self.output_buffer = None
self.save_to_output_buffer = True
self.add_queued_method(function_name, *parameters)
while (self.output_buffer == None):
time.sleep(self.PAUSE_DEBUG_WAIT_TIME)
self.save_to_output_buffer = False
self.print_message(se... | Python | nomic_cornstack_python_v1 |
function __call__ self x
begin
comment Calculating the WayburnSeader's 3rd function
set f = 2 / 3 * x at 0 ^ 3 - 8 * x at 0 ^ 2 + 33 * x at 0 - x at 0 * x at 1 + 5 + x at 0 - 4 ^ 2 + x at 1 - 5 ^ 2 - 4 ^ 2
return f
end function | def __call__(self, x):
# Calculating the WayburnSeader's 3rd function
f = (2 / 3) * x[0] ** 3 - 8 * x[0] ** 2 + 33 * x[0] - x[0] * \
x[1] + 5 + ((x[0] - 4) ** 2 + (x[1] - 5) ** 2 - 4) ** 2
return f | Python | nomic_cornstack_python_v1 |
class Athlete
begin
function __init__ self name leaps avg
begin
set tuple _name _leaps _avg = tuple name leaps avg
end function
end class
function calculate_avg *args
begin
set numbers = list comprehension decimal value for value in args
return sum numbers / length numbers
end function
set athletes = list
while true
b... | class Athlete:
def __init__(self, name, leaps, avg) :
self._name, self._leaps, self._avg = name, leaps, avg
def calculate_avg(*args):
numbers = [float(value) for value in args]
return sum(numbers) / len(numbers)
athletes = []
while True:
name = input('Atleta: ')
if not name: break
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
from math import log
import operator
import copy
import re
function loadDataT
begin
set df = read csv string TreeData.csv
set data = call tolist
set data_full = data at slice : :
set labels = call tolist
set labels_full... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
from math import log
import operator
import copy
import re
def loadDataT():
df=pd.read_csv('TreeData.csv')
data=df.values[:11,1:].tolist()
data_full=data[:]
labels=df.columns.values[1:-1].tolist()
labels_full=la... | Python | zaydzuhri_stack_edu_python |
comment manhatun
from numpy import *
set vector1 = call mat list 2.1 2.5 3.8
set vector2 = call mat list 1.0 1.7 6.6
print sum absolute vector1 - vector2
comment 欧式距离
from numpy import *
set vector1 = call mat list 2.1 2.5 3.8
set vector2 = call mat list 1.0 1.7 6.6
print square root vector1 - vector2 * T
comment 切比雪夫距... | # manhatun
from numpy import *
vector1 = mat([2.1,2.5,3.8])
vector2 = mat([1.0,1.7,6.6])
print(sum(abs(vector1-vector2)))
# 欧式距离
from numpy import *
vector1 = mat([2.1,2.5,3.8])
vector2 = mat([1.0,1.7,6.6])
print(sqrt((vector1-vector2)*(vector1-vector2).T))
# 切比雪夫距离
print(abs(vector1-vector2).max)
# 夹角余弦
import nump... | Python | zaydzuhri_stack_edu_python |
function read_params self config
begin
set name = config at string name
set fields = config at string fields
set file = dict
set manager = call get_instance
for field in items fields
begin
set file at field at 0 = get manager field at 1
end
if string order in config
begin
set order = list
for item in config at string... | def read_params(self, config):
self.name = config['name']
fields = config['fields']
self.file = {}
manager = FieldManager.get_instance()
for field in fields.items():
self.file[field[0]] = manager.get(field[1])
if 'order' in config:
self.order = []... | Python | nomic_cornstack_python_v1 |
function gid exp_gid
begin
set gid = call getegid
if gid != exp_gid or gid != 0
begin
return gid
end
return exp_gid
end function | def gid(exp_gid):
gid = os.getegid()
if gid != exp_gid or gid != 0:
return gid
return exp_gid | Python | nomic_cornstack_python_v1 |
function reset self
begin
close self
set cur_item = 0
end function | def reset(self):
self.close()
self.cur_item = 0 | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment Project: Logs Analysis - Udacity
comment Questions the reporting tool will answer:
comment 1. What are the most popular three articles of all time?
comment 2. Who are the most popular article authors of all time?
comment 3. On which days did more than 1% of requests lead to errors?... | #!/usr/bin/env python3
#
# Project: Logs Analysis - Udacity
#
# Questions the reporting tool will answer:
# 1. What are the most popular three articles of all time?
# 2. Who are the most popular article authors of all time?
# 3. On which days did more than 1% of requests lead to errors?
#
#
import psycopg2
... | Python | zaydzuhri_stack_edu_python |
import unittest
import preprocess
import utils
import pandas as pd
import numpy as np
set DTYPE_PATH = string ./data/dtypes.csv
set DATA_PATH = string ./data/output.csv
set dataframe_mock = none
set categoricals_mock = none
function load_dataset
begin
set columns_dict = call load_dtypes DTYPE_PATH
set columns = sorted ... | import unittest
import preprocess
import utils
import pandas as pd
import numpy as np
DTYPE_PATH = "./data/dtypes.csv"
DATA_PATH = "./data/output.csv"
dataframe_mock = None
categoricals_mock = None
def load_dataset():
columns_dict = utils.load_dtypes(DTYPE_PATH)
columns = sorted(columns_dict.keys())
cate... | Python | zaydzuhri_stack_edu_python |
function seed self seed=none
begin
comment to have a different environment at each time (resolve python random problem)
set tuple np_random seed1 = call np_random seed
set seed2 = call hash_seed seed1 + 1 % 2 ^ 31
return list seed1 seed2
end function | def seed(self, seed=None):
# to have a different environment at each time (resolve python random problem)
self.np_random, seed1 = seeding.np_random(seed)
seed2 = seeding.hash_seed(seed1 + 1) % 2 ** 31
return [seed1, seed2] | Python | nomic_cornstack_python_v1 |
import urllib.request
set page = url open string https://www.flyhiee.com/
set text = decode read page string utf8
comment search for the index location of "Amit" combinationself.
set where = find text string Amit
set start_text = where + 0
set end_text = start_text + 17
set name = text at slice start_text : end_text : ... | import urllib.request
page = urllib.request.urlopen("https://www.flyhiee.com/")
text = page.read().decode("utf8")
where = text.find("Amit") #search for the index location of "Amit" combinationself.
start_text = where + 0
end_text = start_text + 17
name = text[start_text:end_text]
#With the start and end index locat... | Python | zaydzuhri_stack_edu_python |
function get_store self name=string default
begin
if name in stores
begin
return stores at name
end
try
begin
set tuple type_ options = store_infos at name
end
except KeyError
begin
raise call ConfigurationError string No info for store %s % name
end
set store = call open_store type_ keyword options
set stores at name ... | def get_store(self, name="default"):
if name in self.stores:
return self.stores[name]
try:
type_, options = self.store_infos[name]
except KeyError:
raise ConfigurationError("No info for store %s" % name)
store = open_store(type_, **options)
... | Python | nomic_cornstack_python_v1 |
comment Listdir
comment read csv rows
comment if date is in range, immediately write to a csv
comment all source files will be combined to a single csv
import os
import csv
import sys
set input_dir = argv at 1
set output_path = argv at 2
function date_in_range row
begin
set date = row at 3
comment because dates are alr... | # Listdir
# read csv rows
# if date is in range, immediately write to a csv
# all source files will be combined to a single csv
import os
import csv
import sys
input_dir = sys.argv[1]
output_path = sys.argv[2]
def date_in_range(row):
date = row[3]
# because dates are already 8601 we can compare them cheaply
... | Python | zaydzuhri_stack_edu_python |
comment print("Hello World Typo")
import sys
comment import pycorrector
function typo text
begin
comment corrected_sent, detail = pycorrector.correct(text)
print string Typo Analyse: received: + text + string result:
end function
if __name__ == string __main__
begin
comment print(sys.argv[0])
comment print(sys.argv[1])... | #print("Hello World Typo")
import sys
# import pycorrector
def typo(text):
#corrected_sent, detail = pycorrector.correct(text)
print("Typo Analyse: received:" + text + "result:")
if __name__ == '__main__':
#print(sys.argv[0])
#print(sys.argv[1])
typo(sys.argv[1])
| Python | zaydzuhri_stack_edu_python |
import re
set fname = string regex_sum_1197743.txt
set fh = open fname
set s = 0
for line in fh
begin
set h1 = find all string [0-9]+ line
if length h1 > 0
begin
set h2 = length h1
for i in range h2
begin
set s = s + integer h1 at i
end
end
end
print s | import re
fname = 'regex_sum_1197743.txt'
fh = open(fname)
s = 0
for line in fh:
h1 = re.findall('[0-9]+', line)
if len(h1) > 0 :
h2 = len(h1)
for i in range(h2) :
s = s + int(h1[i])
print(s)
| Python | zaydzuhri_stack_edu_python |
function test_save_ignore_fallback_marker self
begin
set x = call SimpleModel
call set_current_language other_lang1
set tr_title = string TITLE_XX
call set_current_language other_lang2
comment try fetching, causing an fallback marker
call safe_translation_getter string tr_title any_language=true
comment Now save. This ... | def test_save_ignore_fallback_marker(self):
x = SimpleModel()
x.set_current_language(self.other_lang1)
x.tr_title = "TITLE_XX"
x.set_current_language(self.other_lang2)
# try fetching, causing an fallback marker
x.safe_translation_getter("tr_title", any_language=True)
... | Python | nomic_cornstack_python_v1 |
string "" Author: Rajagopal Senthil Kumar Created Date: 07-Sep-2017 Modified Date: 07-Sep-2017 Purpose: Internal library - Encryption and Decryption class
import base64
import hashlib
from Crypto import Random
from Crypto.Cipher import AES
class EnDec extends object
begin
function __init__ self master_key
begin
set mas... | """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
Author: Rajagopal Senthil Kumar
Created Date: 07-Sep-2017
Modified Date: 07-Sep-2017
Purpose: Internal library - Encryption and Decryption class
"""""""""""""""""""""""""""""""""""""""""""""""... | Python | zaydzuhri_stack_edu_python |
import os
import torch
import numpy as np
import cv2 as cv
from torch.utils.data import Dataset
from pathlib import Path
class CRDataset extends Dataset
begin
function __init__ self coco_path cell_path
begin
call __init__
set mpath = coco_path
set mlist = list glob mpath string *.jpg
set mlen = length mlist
set tpath =... | import os
import torch
import numpy as np
import cv2 as cv
from torch.utils.data import Dataset
from pathlib import Path
class CRDataset(Dataset):
def __init__(self, coco_path: Path, cell_path: Path):
super(CRDataset, self).__init__()
self.mpath = coco_path
self.mlist = list(self.mpath.g... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
import re
import string
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split , cross_val_score
from sklearn.metrics import accuracy_score , precision_score , recall_scor... | import pandas as pd
import numpy as np
import re
import string
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.metrics import accuracy_score, precision_score, recall_score, ... | Python | jtatman_500k |
function utility board
begin
if call winner board == X
begin
return 1
end
else
if call winner board == O
begin
return - 1
end
else
begin
return 0
end
end function | def utility(board):
if winner(board) == X:
return 1
elif winner(board) == O:
return -1
else:
return 0 | Python | nomic_cornstack_python_v1 |
function init_from_file filename parser=int
begin
set filename = filename + string . + string PID
function __parser_couple s
begin
set s = replace s string ( string
set s = replace s string ) string
set ss = split s string ,
return tuple integer ss at 0 integer ss at 1
end function
set p = call PTree
set content = call... | def init_from_file(filename, parser=int):
filename = filename + "." + str(PID)
def __parser_couple(s):
s = s.replace("(", "")
s = s.replace(")", "")
ss = s.split(",")
return int(ss[0]), int(ss[1])
p = PTree()
content = SList([])
w... | Python | nomic_cornstack_python_v1 |
function connect_previous self previous_layer
begin
for neuron in _neurons
begin
for dest in _neurons
begin
call add_link string in dest
end
end
end function | def connect_previous(self, previous_layer):
for neuron in self._neurons:
for dest in previous_layer._neurons:
neuron.add_link('in', dest) | Python | nomic_cornstack_python_v1 |
from sys import stdin
function solve s_original k
begin
comment cache of previously solved positions
set cache = dict
function solve_inner s
begin
comment if we hit this in the cache, we've returned to the original point, so obviously not optimal
set cache at s = none
if string - not in s
begin
return 0
end
set best =... | from sys import stdin
def solve(s_original, k):
#cache of previously solved positions
cache = {}
def solve_inner(s):
#if we hit this in the cache, we've returned to the original point, so obviously not optimal
cache[s] = None
if "-" not in s:
return 0
... | Python | zaydzuhri_stack_edu_python |
function help_plot
begin
call open_help_text join path module_dir string help-plot.txt
end function | def help_plot():
open_help_text(os.path.join(module_dir, "help-plot.txt")) | Python | nomic_cornstack_python_v1 |
comment Jeffrey Rodriguez 110733867
import numpy as np
from numpy.linalg import inv
import matplotlib.pyplot as plt
comment Interpolation of left side
set xl = array list - 1 - 0.75 - 0.5 - 0.25 0
set xr = array list 0 0.25 0.5 0.75 1
comment array of left and right values
set xlr = unique append np xl xr
print xlr
fun... | #Jeffrey Rodriguez 110733867
import numpy as np
from numpy.linalg import inv
import matplotlib.pyplot as plt
#Interpolation of left side
xl = np.array([-1,-.75,-.5,-.25,0])
xr = np.array([0,.25,.5,.75,1])
xlr = np.unique(np.append(xl,xr)) #array of left and right values
print(xlr)
def f(x):
return (1+25*x**2)**(-1... | Python | zaydzuhri_stack_edu_python |
function node_camera_type self
begin
return _node_camera_type
end function | def node_camera_type(self, ):
return self._node_camera_type | Python | nomic_cornstack_python_v1 |
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