code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment Tipos de variables [Python]
comment Ejercicios de práctica
comment Autor: Inove Coding School
comment Version: 2.0
comment IMPORTANTE: NO borrar los comentarios
comment que aparecen en verde con el hashtag "#"
comment Ejemplos variables de texto
comment Ingrese tres palabras y arme un acrónimo con ellas
comment... | # Tipos de variables [Python]
# Ejercicios de práctica
# Autor: Inove Coding School
# Version: 2.0
# IMPORTANTE: NO borrar los comentarios
# que aparecen en verde con el hashtag "#"
# Ejemplos variables de texto
# Ingrese tres palabras y arme un acrónimo con ellas
# Si desea puede modificar el código para ingresar ... | Python | zaydzuhri_stack_edu_python |
import argparse
import Constants
function segment sentence tag
begin
comment apply segmentation on one single sentence using predicted tags
set sentence = list strip sentence
set length = length sentence
set tag = list map int split strip tag
for i in range length - 2 - 1 - 1
begin
if tag at i == BEGIN or tag at i == M... | import argparse
import Constants
def segment(sentence, tag):
# apply segmentation on one single sentence using predicted tags
sentence = list(sentence.strip())
length = len(sentence)
tag = list(map(int, tag.strip().split()))
for i in range(length-2, -1, -1):
if tag[i] == Constants.BEGIN or... | Python | zaydzuhri_stack_edu_python |
function output_results results mvdelim=string output=stdout
begin
comment We collect all the unique field names, as well as
comment convert all multivalue keys to the right form
set fields = set
for result in results
begin
for key in keys result
begin
if is instance result at key list
begin
set result at string __mv_... | def output_results(results, mvdelim = '\n', output = sys.stdout):
# We collect all the unique field names, as well as
# convert all multivalue keys to the right form
fields = set()
for result in results:
for key in result.keys():
if(isinstance(result[key], list)):
... | Python | nomic_cornstack_python_v1 |
function show_people people
begin
for person in people
begin
print title person
end
end function
function make_great people
begin
set great_people = list
while people
begin
set person = pop people
set great_person = person + string the Great
append great_people great_person
end
for great_person in great_people
begin
a... | def show_people(people):
for person in people:
print(person.title())
def make_great(people):
great_people = []
while people:
person = people.pop()
great_person = person + " the Great"
great_people.append(great_person)
for great_person in great_people:
people.ap... | Python | zaydzuhri_stack_edu_python |
function get_user_task self name_user
begin
set user_tasks = list
set scanned_task = list
with open path_to_task_file string r as file
begin
for line in file
begin
set task = call Task
load task line
if name_user in admins
begin
append user_tasks task
end
else
if name_user in members
begin
append user_tasks task
end
... | def get_user_task(self, name_user):
user_tasks = []
scanned_task = []
with open(self.path_to_task_file, 'r') as file:
for line in file:
task = Task()
task.load(line)
if name_user in task.admins:
user_tasks.append(ta... | Python | nomic_cornstack_python_v1 |
function main
begin
comment Get stock symbols and name
set tickers = read csv string data/symbols.csv
set symbols = tickers at string symbol
comment Will use 6 months data
set tuple s e = call get_date 180
comment To calculate running time
set t0 = time
comment Run threads
set result1 = call get_quotes symbols s e
comm... | def main():
# Get stock symbols and name
tickers = pd.read_csv("data/symbols.csv")
symbols = tickers['symbol']
# Will use 6 months data
s, e = get_date(180)
# To calculate running time
t0 = time.time()
# Run threads
result1 = get_quotes(symbols, s, e)
# Convert result into pa... | Python | nomic_cornstack_python_v1 |
function _replace_nulls self df
begin
print string Replacing nulls in the following categories...
if string gilded in columns
begin
print string gilded: changing strings to nums, all to True/False
replace df at string gilded to_replace=list string 0 string 1 string 2 value=list 0 1 2 inplace=true
set df at string gilde... | def _replace_nulls(self, df):
print('Replacing nulls in the following categories...')
if 'gilded' in df.columns:
print('gilded: changing strings to nums, all to True/False')
df['gilded'].replace(to_replace=['0','1','2'], value=[0,1,2], inplace=True)
df['gilded'] = df[... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
set ticker = string SWED-A.ST
set INDEX = string ^OMX
import pandas as pd
import pandas_datareader as web
import matplotlib.pyplot as plt
set startdate = string 2010
set enddate = string 2019-06-23
set df0 = call DataFrame
set df0 at string Stock = call DataReader ticker string yahoo start... | # -*- coding: utf-8 -*-
ticker= "SWED-A.ST"
INDEX = "^OMX"
import pandas as pd
import pandas_datareader as web
import matplotlib.pyplot as plt
startdate= "2010"; enddate='2019-06-23'
df0 = pd.DataFrame()
df0['Stock'] = web.DataReader(ticker, 'yahoo', start = startdate, end=enddate)['Adj Close'];
df0['Index']... | Python | zaydzuhri_stack_edu_python |
function __netInterface self
begin
set interface = dict string AssociatePublicIpAddress true ; string DeleteOnTermination true ; string Description string Network adaptor via boto3 api ; string DeviceIndex 0 ; string Groups sg_ids ; string SubnetId subnet_id
if nodeType == string c5n.18xlarge
begin
set interface at str... | def __netInterface(self):
interface = {
'AssociatePublicIpAddress': True,
'DeleteOnTermination': True,
'Description': 'Network adaptor via boto3 api',
'DeviceIndex': 0,
'Groups': self.sg_ids,
'SubnetId': self.subnet_id
}
i... | Python | nomic_cornstack_python_v1 |
function _get_stretch_parameters self data
begin
set median = median data
set avg_dev = call _get_avg_dev data
set c0 = call clip median + shadows_clip * avg_dev 0 1
set m = call _mtf target_bkg median - c0
return dict string c0 c0 ; string c1 1 ; string m m
end function | def _get_stretch_parameters(self, data):
median = np.median(data)
avg_dev = self._get_avg_dev(data)
c0 = np.clip(median + (self.shadows_clip * avg_dev), 0, 1)
m = self._mtf(self.target_bkg, median - c0)
return {
"c0": c0,
"c1": 1,
"m": m
... | Python | nomic_cornstack_python_v1 |
function camera_grid_generator camera vehicle_params
begin
set tuple start_x start_y = tuple 0.0 0.0
set tuple end_x end_y = tuple R_x R_y
set tuple step_x step_y = tuple end_x / vehicle_params at string x_pixel_steps_per_line end_y / vehicle_params at string y_pixel_steps_per_line
set start_heading = 0.0
set orientati... | def camera_grid_generator(camera, vehicle_params):
start_x, start_y = 0.0, 0.0
end_x, end_y = camera.R_x, camera.R_y
step_x, step_y = end_x/vehicle_params["x_pixel_steps_per_line"], end_y/vehicle_params["y_pixel_steps_per_line"]
start_heading = 0.0
orientation_step = vehicle_params["orientation_step... | Python | nomic_cornstack_python_v1 |
set i = 2
set total = 0
while i < 100
begin
set is_prime = true
for j in range 2 i
begin
if i % j == 0
begin
set is_prime = false
break
end
end
if is_prime
begin
print i
set total = total + i
end
set i = i + 1
end
print string Sum of prime numbers: total | i = 2
total = 0
while i < 100:
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
print(i)
total += i
i += 1
print("Sum of prime numbers:", total)
| Python | jtatman_500k |
function _charge_ self
begin
set netPos = sum generator expression aaComp at aa * 10 ^ a2chargePos at aa / 10 ^ aa2chargePos at aa + 10 ^ pH1 for aa in aa2chargePos
set netNeg = sum generator expression aaComp at aa * 10 ^ pH1 / 10 ^ aa2chargeNeg at aa + 10 ^ pH1 for aa in aa2chargeNeg
comment used for calculations in ... | def _charge_(self):
netPos = sum(
self.aaComp[aa] * (10 ** self.a2chargePos[aa] / 10 ** self.aa2chargePos[aa] + (10 ** pH1)) for aa in
self.aa2chargePos)
netNeg = sum(
self.aaComp[aa] * ((10 ** pH1) / (10 ** self.aa2chargeNeg[aa] + (10 ** pH1))) for aa in self.aa2char... | Python | nomic_cornstack_python_v1 |
comment Author:Xu
comment 豆瓣top250,保存记录到movInfo.txt
comment !/usr/bin/env python3
comment _*_ coding:utf-8 _*_
import requests
from bs4 import BeautifulSoup
import re
import traceback
import sys
function GetHtmlText url
begin
comment 尝试两次
for i in range 0 1
begin
try
begin
set r = get requests url
set encoding = string... | ## Author:Xu
## 豆瓣top250,保存记录到movInfo.txt
#!/usr/bin/env python3
# _*_ coding:utf-8 _*_
import requests
from bs4 import BeautifulSoup
import re
import traceback
import sys
def GetHtmlText(url):
for i in range(0,1): #尝试两次
try:
r=requests.get(url)
r.encoding = 'utf-8'
... | Python | zaydzuhri_stack_edu_python |
function get_filename nothing
begin
return format string {nothing}.txt nothing=nothing
end function | def get_filename(nothing):
return '{nothing}.txt'.format(nothing=nothing) | Python | nomic_cornstack_python_v1 |
import copy
function rotate key
begin
set n = length key
set res = list comprehension list 0 * n for _ in range n
for r in range n
begin
for c in range n
begin
set res at c at n - 1 - r = key at r at c
end
end
return res
end function
function finding key Lock newLen m n
begin
for startI in range newLen - m + 1
begin
fo... | import copy
def rotate(key):
n = len(key)
res = [[0] * n for _ in range(n)]
for r in range(n):
for c in range(n):
res[c][n-1-r] = key[r][c]
return res
def finding(key, Lock, newLen, m, n):
for startI in range(newLen-m + 1):
for startJ in range(newLen-m + 1):
... | Python | zaydzuhri_stack_edu_python |
function _has_received_data self
begin
return not _bytes_received == bytes_received_on_connection
end function | def _has_received_data(self):
return not self._bytes_received == self.bytes_received_on_connection | Python | nomic_cornstack_python_v1 |
function _lineage_eval_text_match_rules rules text
begin
for rule in rules
begin
if call dict_call rule at string test text rule at string expression
begin
return true
end
end
return false
end function | def _lineage_eval_text_match_rules(rules, text):
for rule in rules:
if TextMatch.dict_call(rule['test'], text, rule['expression']):
return True
return False | Python | nomic_cornstack_python_v1 |
function notFainted self
begin
set messages = call attemptAfterTurn pkmn
assert messages == list message msg string Should receive messages from afterTurn function
end function | def notFainted(self):
messages = self.effect.attemptAfterTurn(self.pkmn)
assert messages == [AfterTurnEffect.message], "Should receive messages from afterTurn function" | Python | nomic_cornstack_python_v1 |
function simulationDelayedTreatment numTrials
begin
set pop_list = dict
set resistant_pop_list = dict
set init_step_list = list 300 150 75 0
for tuple index init_step in enumerate init_step_list
begin
set pop_list at init_step = call get_pop_list init_step numTrials
subplot 2 2 index + 1
histogram pop_list at init_st... | def simulationDelayedTreatment(numTrials):
pop_list = {}
resistant_pop_list = {}
init_step_list = [300, 150, 75, 0]
for index, init_step in enumerate(init_step_list):
pop_list[init_step] = get_pop_list(init_step, numTrials)
pylab.subplot(2, 2, index + 1)
pylab.hist(pop_list[init_... | Python | nomic_cornstack_python_v1 |
function createMaskStep self filterRadius1 sdFactor filterRadius2 maskThreshold
begin
call runCustomMaskScript filterRadius1 sdFactor filterRadius2 maskThreshold workingDir=call _getPath ext=call getExt inputImage=_params at string inputImage + string @1 outputMask=_params at string outputMask
end function | def createMaskStep(self, filterRadius1, sdFactor, filterRadius2, maskThreshold):
runCustomMaskScript(filterRadius1, sdFactor,
filterRadius2, maskThreshold,
workingDir=self._getPath(), ext=self.getExt(),
inputImage=self._params['... | Python | nomic_cornstack_python_v1 |
string Proyecto
import copy
import numpy as np
import random
import vrep
import sys
import time
import math
import matplotlib.pyplot as plt
class Individuo
begin
function __init__ self solucion
begin
set solucion = solucion
end function
end class
class Problema
begin
set MIN_VALUE = 0.02
set MAX_VALUE = 1.0
function __... | '''
Proyecto
'''
import copy
import numpy as np
import random
import vrep
import sys
import time
import math
import matplotlib.pyplot as plt
class Individuo:
def __init__(self, solucion):
self.solucion = solucion
class Problema:
MIN_VALUE = 0.02
MAX_VALUE = 1.0
def __init__(self, clientID):
... | Python | zaydzuhri_stack_edu_python |
function format_record self record
begin
set feature = dict string type string Feature ; string geometry record at 0 ; string properties dict
for tuple col value in enumerate record
begin
if fields at col != string geometry
begin
set feature at string properties at fields at col = value
end
end
return dumps feature cl... | def format_record(self, record):
feature = {
'type': 'Feature',
'geometry': record[0],
'properties': {}
}
for col, value in enumerate(record):
if self.fields[col] != 'geometry':
feature['properties'][self.fields[col]] = value
... | Python | nomic_cornstack_python_v1 |
function get_func_arg_names func
begin
return co_varnames
end function | def get_func_arg_names(func):
return get_func_code(func).co_varnames | Python | nomic_cornstack_python_v1 |
function append_colums_df self df new_df
begin
set df = concat list df new_df axis=1 join_axes=list index
return df
end function | def append_colums_df(self, df, new_df):
df = pd.concat([df,new_df], axis=1, join_axes=[df.index])
return df | Python | nomic_cornstack_python_v1 |
function construct_patch image x y patch_size
begin
set patch_width = patch_size at 0
set patch_height = patch_size at 1
set start_y = y
set end_y = y + patch_height
set start_x = x
set end_x = x + patch_width
set patch = image at tuple slice start_x : end_x : slice start_y : end_y :
return patch
end function | def construct_patch(image, x, y, patch_size):
patch_width = patch_size[0]
patch_height = patch_size[1]
start_y = y
end_y = (y + patch_height)
start_x = x
end_x = (x + patch_width)
patch = image[start_x:end_x, start_y:end_y]
return patch | Python | nomic_cornstack_python_v1 |
import socket
import threading
set HEADER = 64
set PORT = 5050
set FORMAT = string utf-8
set DISCONNECT_MESSAGE = string !DISCONNECT
comment change it if server is changed
set SERVER = call gethostbyname call gethostname
set ADDR = tuple SERVER PORT
set client = call socket AF_INET SOCK_STREAM
call connect ADDR
comment... | import socket
import threading
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
# change it if server is changed
SERVER = socket.gethostbyname(socket.gethostname())
ADDR = (SERVER, PORT)
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client.connect(ADDR)
#debug mode allows you t... | Python | zaydzuhri_stack_edu_python |
async function expect self watch_for respond_with
begin
if not process
begin
raise exception string missing process; was this called inside a with statement?
end
assert stdin is not none msg string process must be opened with stdin=PIPE
comment NOTE: This could be improved to show which responses were sent, and which
c... | async def expect(
self,
watch_for: bytes,
respond_with: bytes,
) -> None:
if not self.process:
raise Exception("missing process; was this called inside a with statement?")
assert self.process.stdin is not None, "process must be opened with stdin=PIPE"
... | Python | nomic_cornstack_python_v1 |
comment @lc app=leetcode id=98 lang=python
comment [98] Validate Binary Search Tree
comment https://leetcode.com/problems/validate-binary-search-tree/description/
comment algorithms
comment Medium (26.55%)
comment Likes: 2582
comment Dislikes: 374
comment Total Accepted: 505.2K
comment Total Submissions: 1.9M
comment T... | #
# @lc app=leetcode id=98 lang=python
#
# [98] Validate Binary Search Tree
#
# https://leetcode.com/problems/validate-binary-search-tree/description/
#
# algorithms
# Medium (26.55%)
# Likes: 2582
# Dislikes: 374
# Total Accepted: 505.2K
# Total Submissions: 1.9M
# Testcase Example: '[2,1,3]'
#
# Given a binary... | Python | zaydzuhri_stack_edu_python |
from pythoncalculator import *
import testcalculator
function print_hi name
begin
print string Hi, { name }
end function
comment Press the green button in the gutter to run the script.
if __name__ == string __main__
begin
call print_hi string Pawan
call pythoncalculator
call testcalculator
end | from pythoncalculator import *
import testcalculator
def print_hi(name):
print(f'Hi, {name}')
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
print_hi('Pawan')
pythoncalculator()
testcalculator()
| Python | zaydzuhri_stack_edu_python |
function __init__ self func=none
begin
function corrector self model y0 beta lims dv0 retit=false maxit=100
begin
return none
end function
end function | def __init__(self, func=None):
def corrector(self, model, y0, beta, lims, dv0, retit=False, maxit=100):
return None | Python | nomic_cornstack_python_v1 |
function generate_plat self x y
begin
set plat = platform
append plat_obj plat
call draw_platform x y
end function | def generate_plat(self, x, y):
plat = Platform()
self.plat_obj.append(plat)
plat.draw_platform(x,y) | Python | nomic_cornstack_python_v1 |
import serial
import sys
import time
set original = list 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 | import serial
import sys
import time
original = [1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0]
| Python | zaydzuhri_stack_edu_python |
import pytest
import torch as T
from lstm_ae import LstmAutoEncoder
from ae_wrappers.ae_classification_wrapper import AutoEncoderClassifier
set device = if expression call is_available then string cuda:0 else string cpu
class Test_AE_Classifier
begin
decorator fixture
function ae self seq_dim latent_size num_layers n_c... | import pytest
import torch as T
from lstm_ae import LstmAutoEncoder
from ae_wrappers.ae_classification_wrapper import AutoEncoderClassifier
device = 'cuda:0' if T.cuda.is_available() else 'cpu'
class Test_AE_Classifier():
@pytest.fixture()
def ae(self, seq_dim, latent_size, num_layers, n_classes):
a... | Python | zaydzuhri_stack_edu_python |
function _fetch_components_from_dn self dn
begin
set components = call to_dn dn
set tuple non_dc dc = tuple list list
for item in components
begin
if starts with lower item string dc
begin
append dc item
end
else
begin
append non_dc item
end
end
return tuple non_dc dc
end function | def _fetch_components_from_dn(self, dn):
components = ldap3.utils.dn.to_dn(dn)
non_dc, dc = [], []
for item in components:
if item.lower().startswith("dc"):
dc.append(item)
else:
non_dc.append(item)
return non_dc, dc | Python | nomic_cornstack_python_v1 |
import os
import sys
import json
class DataProcessor
begin
function __init__ self *args
begin
set objs = dict
if length *args > 0
begin
for tuple i val in enumerate *args
begin
call push_obj val
end
end
end function
function push_obj self src_path
begin
assert exists path src_path msg string Invalid file path given to... | import os
import sys
import json
class DataProcessor:
def __init__(self, *args):
self.objs = {}
if len(*args) > 0:
for i, val in enumerate(*args):
self.push_obj(val)
def push_obj(self, src_path):
assert os.path.exists(src_path), "Invalid file path given to D... | Python | zaydzuhri_stack_edu_python |
comment Definition for a binary tree node.
comment class TreeNode:
comment def __init__(self, x):
comment self.val = x
comment self.left = None
comment self.right = None
class Solution
begin
function isSameTree self p q
begin
string :type p: TreeNode :type q: TreeNode :rtype: bool
set same = true
call postOrder p q
ret... | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def isSameTree(self, p, q):
"""
:type p: TreeNode
:type q: TreeNode
:rtype: bool
"""
self... | Python | zaydzuhri_stack_edu_python |
import os
import sys
import time
from dataclasses import dataclass , field
from typing import Any , ClassVar
import random
class TimerError extends Exception
begin
string A custom exception used to report errors in use of Timer class
end class
decorator dataclass
class Timer
begin
set timers : ClassVar = dictionary
set... | import os
import sys
import time
from dataclasses import dataclass, field
from typing import Any, ClassVar
import random
class TimerError(Exception):
"""A custom exception used to report errors in use of Timer class"""
@dataclass
class Timer:
timers: ClassVar = dict()
name: Any = None
text: Any = "... | Python | zaydzuhri_stack_edu_python |
comment Test pygame script, just a basic shell of a game.
comment Import modules that I need
import pygame , pygame.mixer , random , os.path
comment Define the color black for font usage
set black = tuple 0 0 0
comment Initialize pygame
call init
comment Setup the pyinstaller resource path detection. Hugely simplifies ... | #Test pygame script, just a basic shell of a game.
# Import modules that I need
import pygame, pygame.mixer, random, os.path
#Define the color black for font usage
black = (0, 0, 0)
#Initialize pygame
pygame.init()
#Setup the pyinstaller resource path detection. Hugely simplifies the build
def resource_path(relat... | Python | zaydzuhri_stack_edu_python |
function all_batches self batch_size=128
begin
comment Start index for the current batch.
set begin = 0
comment Repeat until all batches have been processed.
while begin < num_used
begin
comment End index for the current batch.
set end = begin + batch_size
comment Ensure the batch does not exceed the used replay-memory... | def all_batches(self, batch_size=128):
# Start index for the current batch.
begin = 0
# Repeat until all batches have been processed.
while begin < self.num_used:
# End index for the current batch.
end = begin + batch_size
# Ensure the batch does no... | Python | nomic_cornstack_python_v1 |
function word_tokenizing text
begin
set word_tokens = call word_tokenize string text
return word_tokens
end function | def word_tokenizing(text):
word_tokens = nltk.word_tokenize(str(text))
return word_tokens | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
class Plotter
begin
function __init__ self metrics=none
begin
set losses = none
set accuracies = none
set nfes = none
set epochs = none
set legend = none
if metrics is not none
begin
call _setMetrics metrics
end
end function
function _setMetrics self metrics
begin
set ... | import numpy as np
import matplotlib.pyplot as plt
class Plotter():
def __init__(self, metrics=None):
self.losses = None
self.accuracies = None
self.nfes = None
self.epochs = None
self.legend = None
if metrics is not None:
self._setMetrics(metric... | Python | zaydzuhri_stack_edu_python |
comment Imprimir todas las potencias de dos hasta llegar al mil, hasta millon
comment Ciclo While
function run
begin
comment una constante se define con las palabras en Mayusculas
set LIMITE = 1000000
set contador = 0
comment todo numero elevado a la cero es igual a uno
set potencia_2 = 2 ^ contador
while potencia_2 < ... | ## Imprimir todas las potencias de dos hasta llegar al mil, hasta millon
## Ciclo While
def run():
LIMITE = 1000000 # una constante se define con las palabras en Mayusculas
contador = 0
potencia_2 = 2**contador #todo numero elevado a la cero es igual a uno
while potencia_2 < LIMITE:
print('2 elevado a ' + str(c... | Python | zaydzuhri_stack_edu_python |
function load_data del_file dup_file non_file seq_length=500 channels_first=true normalize_data=false
begin
set deletions = call read_pickle del_file
set duplications = call read_pickle dup_file
set non_sv = call read_pickle non_file
comment combine data and create labels
set data = concatenate tuple values values valu... | def load_data(del_file, dup_file, non_file,
seq_length=500,
channels_first=True,
normalize_data=False):
deletions = pd.read_pickle(del_file)
duplications = pd.read_pickle(dup_file)
non_sv = pd.read_pickle(non_file)
# combine data and create labels
data = n... | Python | nomic_cornstack_python_v1 |
function delete_page self **app_names_and_pages
begin
set page_location = lambda app_name app_page -> join path _main app_name app_page
set css_path = join path folder_location string static string css
for tuple app pages in items app_names_and_pages
begin
for page in pages
begin
remove tree call page_location app page... | def delete_page(self,**app_names_and_pages):
page_location = lambda app_name,app_page : os.path.join(self._main,app_name,app_page)
css_path = os.path.join(self.folder_location,"static","css")
for app,pages in app_names_and_pages.items():
for page in pages:
sh... | Python | nomic_cornstack_python_v1 |
function of_row cls row
begin
set obj = call cls
set security_id = security_id
set underlying_symbol = underlying_symbol
set root_symbol = root
set expiration_date = expiration
set strike = strike
set option_type = option_type
set quote_date = quote_date
set underlying_price = underlyer_price
set ask = ask
set bid = bi... | def of_row(cls, row):
obj = cls()
obj.security_id = row.security_id
obj.underlying_symbol = row.underlying_symbol
obj.root_symbol = row.root
obj.expiration_date = row.expiration
obj.strike = row.strike
obj.option_type = row.option_type
obj.quote_date = row... | Python | nomic_cornstack_python_v1 |
function can_move_up up left right
begin
if is instance up bool
begin
return false
end
if is instance up int
begin
return true
end
else
begin
return false
end
end function | def can_move_up(up, left, right):
if isinstance(up, bool):
return False
if isinstance(up, int):
return True
else:
return False | Python | nomic_cornstack_python_v1 |
function set_first_frame self box=none frame=none img=none transformed_box_ct=none
begin
set first_box = box
set first_frame = frame
set first_img = img
set large_img = img
if transformed_box_ct is not none
begin
set first_box_ct_in_world = transformed_box_ct
end
end function | def set_first_frame(self, box=None, frame=None, img=None, transformed_box_ct=None):
self.first_box = box
self.first_frame = frame
self.first_img = img
self.large_img = img
if transformed_box_ct is not None:
self.first_box_ct_in_world = transformed_box_ct | Python | nomic_cornstack_python_v1 |
comment encoding: UTF-8
import pandas as pd
from globalVars import *
comment 载入数据,支持多品种多周期同时载入
function load_data
begin
comment 读取分钟数据CSV时的时间列格式
set date_parse = lambda dates -> string parse time dates string %Y/%m/%d %H:%M
comment 读取日线数据CSV时的时间列格式
set date_parse_day = lambda dates -> string parse time dates string %Y/... | # encoding: UTF-8
import pandas as pd
from globalVars import *
def load_data(): # 载入数据,支持多品种多周期同时载入
date_parse = lambda dates: pd.datetime.strptime(dates, '%Y/%m/%d %H:%M') # 读取分钟数据CSV时的时间列格式
date_parse_day = lambda dates: pd.datetime.strptime(dates, '%Y/%m/%d') # 读取日线数据CSV时的时间列格式
for inst in instrumen... | Python | zaydzuhri_stack_edu_python |
function sieve n
begin
set results = list range n
set results at 1 = 0
for i in results
begin
if i
begin
for j in range 2 * i n i
begin
set results at j = 0
end
end
end
return list comprehension n for n in results if n
end function | def sieve(n):
results = list(range(n))
results[1] = 0
for i in results:
if (i):
for j in range(2 * i, n, i):
results[j] = 0
return [n for n in results if n]
| Python | zaydzuhri_stack_edu_python |
function place_beepers_on_row
begin
comment A check for the smallest world (1x1).
if call front_is_blocked
begin
call put_beeper
end
else
begin
comment keep putting beepers on all corners until front_is_blocked().
while call front_is_clear
begin
call put_beeper
move
end
comment when Karel stops, we know he's reached th... | def place_beepers_on_row():
if front_is_blocked(): # A check for the smallest world (1x1).
put_beeper()
else:
while front_is_clear(): # keep putting beepers on all corners until front_is_blocked().
put_beeper()
move()
reverse_direction() # when Karel stops, we ... | Python | nomic_cornstack_python_v1 |
function are_segments_compatible self seg0 seg1
begin
if h1 != h0
begin
print string Warning: seg0 h1 and seg1 h0 are not the same
print h1
print h0
end
return call check_tolerance h0 h1 h1
end function | def are_segments_compatible(self, seg0, seg1):
if seg0.h1 != seg1.h0:
print("Warning: seg0 h1 and seg1 h0 are not the same")
print(seg0.h1)
print(seg1.h0)
return self.check_tolerance(seg0.h0, seg0.h1, seg1.h1) | Python | nomic_cornstack_python_v1 |
function __init__ self patterns
begin
set patterns = patterns
set edges = list
set deBruijnDict = dictionary
end function | def __init__(self, patterns):
self.patterns = patterns
self.edges = []
self.deBruijnDict = dict() | Python | nomic_cornstack_python_v1 |
function index_rows self
begin
set _index = dict
for tuple i r in enumerate row
begin
set _index at call _cf call idtag r = i
end
end function | def index_rows(self):
self._index = {}
for i,r in enumerate(self._table.row):
self._index[self._cf(self.idtag(r))] = i | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
import csv
set train_start_index = 1
set train_last_index = 42
set test_start_index = train_last_index
set test_last_index = 53
set num_in_line = 0
function calculate_num input_x label_y hundred
begin
if hundred == true
begin
set input_num = input_x at 0 * 100 + input_x at 1 * 10 + input_x... | import cv2
import numpy as np
import csv
train_start_index = 1
train_last_index = 42
test_start_index = train_last_index
test_last_index = 53
num_in_line = 0
def calculate_num(input_x, label_y, hundred):
if hundred == True:
input_num = input_x[0] * 100 + input_x[1] * 10 + input_x[2]
num_in_line... | Python | zaydzuhri_stack_edu_python |
function install self
begin
set cwd = get current directory
change directory depenedncy_dir
comment Unzipping the dependency
set zipf = zip file zip
extract all zipf string .
change directory extracted_dir
comment Installsstalling the dependency
set p = call setup_py
set tuple out err = communicate p
change directory c... | def install(self):
cwd = os.getcwd()
os.chdir(self.depenedncy_dir)
# Unzipping the dependency
zipf = zipfile.ZipFile(self.zip)
zipf.extractall('.')
os.chdir(self.extracted_dir)
# Installsstalling the dependency
p = setup_py()
out, err = p.commun... | Python | nomic_cornstack_python_v1 |
function listAttributes self
begin
if not scope
begin
call promptScope
end
execute dbCursor string SELECT * FROM ( SELECT ea.attribute_id, ea.attribute_code, ea.is_required AS required FROM catalog_%s_entity AS ce LEFT JOIN eav_attribute AS ea ON ce.entity_type_id = ea.entity_type_id LEFT JOIN catalog_%s_entity_varchar... | def listAttributes(self):
if not self.scope:
self.promptScope()
self.dbCursor.execute("""SELECT * FROM (
SELECT
ea.attribute_id,
ea.attribute_code,
ea.is_required AS required
FROM catalog_%s_entity AS ce
LEFT JOIN eav_attribute AS ea
ON ce.entity_type_id = ea.entity_type_id
... | Python | nomic_cornstack_python_v1 |
from numpy import *
set cont = zeros 3 dtype=int
set vn = array eval input string Insira as medias finais de cada aluno:
set vp = array eval input string Insira o numero de horas de cada aluno:
set ch = decimal input string Insira a carga horaria da disciplina:
set f = ch * 0.75
for i in range size vn and range size vp... | from numpy import*
cont= zeros(3, dtype=int)
vn= array(eval(input("Insira as medias finais de cada aluno:")))
vp= array(eval(input("Insira o numero de horas de cada aluno:")))
ch= float(input("Insira a carga horaria da disciplina:"))
f= ch * 0.75
for i in range(size(vn)) and range(size(vp)):
if(vn[i]>=5 and vp[i]>=f... | Python | zaydzuhri_stack_edu_python |
function SetClassOfDevice self device_type
begin
if device_type in CLASS_OF_DEVICE
begin
return call _SetClassOfDevice get CLASS_OF_DEVICE device_type
end
else
begin
set error_msg = string device type is not supported: %s % device_type
error error_msg
raise call RN42Exception error_msg
end
end function | def SetClassOfDevice(self, device_type):
if device_type in self.CLASS_OF_DEVICE:
return self._SetClassOfDevice(self.CLASS_OF_DEVICE.get(device_type))
else:
error_msg = 'device type is not supported: %s' % device_type
logging.error(error_msg)
raise RN42Exception(error_msg) | Python | nomic_cornstack_python_v1 |
function genericize val
begin
if is instance val bool
begin
return list true false
end
else
if is instance val dict
begin
set result = dict
for tuple k v in call iteritems
begin
set result at k = call genericize v
end
return result
end
else
begin
return list val
end
end function | def genericize(val):
if isinstance(val, bool):
return [True, False]
elif isinstance(val, dict):
result = {}
for k, v in val.iteritems():
result[k] = genericize(v)
return result
else:
return [val] | Python | nomic_cornstack_python_v1 |
function dilate_contours contours w h
begin
set black = zeros tuple h w uint8
call drawContours black contours - 1 255 - 1
set tuple contours _ = call findContours call dilate black ones tuple 7 7 uint8 RETR_EXTERNAL CHAIN_APPROX_NONE
return contours
end function | def dilate_contours(contours: List[np.ndarray], w: int, h: int) -> List[np.ndarray]:
black = np.zeros((h, w), np.uint8)
cv2.drawContours(black, contours, -1, 255, -1)
contours, _ = cv2.findContours(
cv2.dilate(black, np.ones((7, 7), np.uint8)),
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_NON... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
from stack import *
function matches open close
begin
set opens = string ([{
set closes = string )]}
return index opens open == index closes close
end function
function parChecker2 str_symbol
begin
set s = stack 20
set ind = 0
set L = length str_symbol
set balanced = true
while ind < L and... | # -*- coding: utf-8 -*-
from stack import *
def matches(open, close):
opens = "([{"
closes = ")]}"
return opens.index(open) == closes.index(close)
def parChecker2(str_symbol):
s = Stack(20)
ind = 0
L = len(str_symbol)
balanced = True
while ind < L and balanced:
symbol = str... | Python | zaydzuhri_stack_edu_python |
import os
import cv2
import pandas as pd
import numpy as np
from skimage.util.shape import view_as_blocks
from skimage.transform import resize
function generate_patches_from_img img patch_size=128
begin
string This function divides the image into equally sized patches.base Parameters ---------- img: numpy array of imag... | import os
import cv2
import pandas as pd
import numpy as np
from skimage.util.shape import view_as_blocks
from skimage.transform import resize
def generate_patches_from_img(img, patch_size=128):
"""This function divides the image into equally sized patches.base
Parameters
----------
img: numpy array ... | Python | zaydzuhri_stack_edu_python |
class Cat extends object
begin
string A Cat object.
function __init__ self name img_url
begin
set name = name
set img_url = img_url
end function
function __repr__ self
begin
string Convenience method to show information about cat in console.
return string <Cat: %s> % name
end function
end class
set alex = call Cat stri... | class Cat(object):
"""A Cat object."""
def __init__(self, name, img_url):
self.name = name
self.img_url = img_url
def __repr__(self):
"""Convenience method to show information about cat in console."""
return "<Cat: %s>" %self.name
alex = Cat("Alex", "static/img/alex.jpg"... | Python | zaydzuhri_stack_edu_python |
function __call__ self function
begin
call _add_attr function
return function
end function | def __call__(self, function: FuncSpeechArg):
self._add_attr(function)
return function | Python | nomic_cornstack_python_v1 |
comment Fileoperation -- Those operation we ca d on a file..(read,write,append)
comment read - r
comment write - w
comment append - a
comment open a file..
comment open() -- it is the function to open a file..
comment file=open('sample.txt','r')
comment #read()
comment #readline()
comment #readlines()
comment for i in ... | #Fileoperation -- Those operation we ca d on a file..(read,write,append)
#read - r
#write - w
#append - a
#open a file..
# open() -- it is the function to open a file..
# file=open('sample.txt','r')
# #read()
# #readline()
# #readlines()
# for i in file.read():
# print(i)
# file.close()
# with open('C:/Use... | Python | zaydzuhri_stack_edu_python |
function get_title self entry
begin
set title = call _ string %(title)s (%(word_count)i words) % dict string title title ; string word_count word_count
return title
end function | def get_title(self, entry):
title = _('%(title)s (%(word_count)i words)') % \
{'title': entry.title, 'word_count': entry.word_count}
return title | Python | nomic_cornstack_python_v1 |
function writeShiftFile stream residues shiftList minShiftQuality=0.0 atomNames=tuple string H string N string C string CA string CB string HA string HA2 string HA3
begin
set formatObj = call TalosShiftFormat
call addSequence residues
call startTable colNames=shiftColumns formats=shiftFormats
for tuple ii res in enumer... | def writeShiftFile(stream, residues, shiftList, minShiftQuality=0.0,
atomNames = ('H','N','C','CA','CB','HA','HA2','HA3')):
formatObj = TalosShiftFormat()
formatObj.addSequence(residues)
formatObj.startTable(colNames=shiftColumns, formats=shiftFormats)
for ii,res in enumerate(residues)... | Python | nomic_cornstack_python_v1 |
import string
set punSet = set punctuation
set sett = set literal string . string % string & string " string ! string , string [ string = string : string ; string ` string \ string ? string (
set punSet = punSet - sett
print punSet | import string
punSet = set(string.punctuation)
sett = {'.', '%', '&', '"', '!', ',', '[', '=', ':', ';', '`', '\\', '?', '('}
punSet = punSet - sett
print(punSet)
| Python | zaydzuhri_stack_edu_python |
comment Problem statement: https://open.kattis.com/problems/anothercandies
for i in range integer input
begin
input
set l = integer input
set s = 0
for j in range l
begin
set s = s + integer input
end
if not s % l
begin
print string YES
end
else
begin
print string NO
end
end | # Problem statement: https://open.kattis.com/problems/anothercandies
for i in range(int(input())):
input()
l = int(input())
s = 0
for j in range(l):
s += int(input())
if not s%l:
print('YES')
else:
print('NO')
| Python | zaydzuhri_stack_edu_python |
from common import *
from plotting import *
comment Divergence of schemes for declining dx
set N = 20000
set T = 1.0
comment N_values = np.linspace(5,100,94)
set n_values = linear space 10 100 91
comment N_values = np.array([5,6,7,8,9,10,15,20,25,30,40,50,60,70,80,90,100,200,300,400,500,1000,1500,2000])
set FE_error = ... | from common import *
from plotting import *
# Divergence of schemes for declining dx
N = 20000
T = 1.0
# N_values = np.linspace(5,100,94)
n_values = np.linspace(10,100,91)
# N_values = np.array([5,6,7,8,9,10,15,20,25,30,40,50,60,70,80,90,100,200,300,400,500,1000,1500,2000])
FE_error = np.zeros(len(n_values))
BE_err... | Python | zaydzuhri_stack_edu_python |
comment Author: Simon Carlson
import argparse
import os
class Parser
begin
set parsed_lines = list
set address = 0
function __init__ self file
begin
with open file as f
begin
for line in f
begin
set l = parse self line
if length l > 0
begin
append parsed_lines l
end
end
end
end function
function parse self line
begin
... | # Author: Simon Carlson
import argparse
import os
class Parser():
parsed_lines = []
address = 0
def __init__(self, file):
with open(file) as f:
for line in f:
l = self.parse(line)
if len(l) > 0:
self.parsed_lines.append(l)
def p... | Python | zaydzuhri_stack_edu_python |
import random , math
from statistics import mean , stdev
import pylab as plt
function illustrateRegressionToMean numTrials numStdDevsToQualityAsExtreme=2
begin
set l = list string H string T
set extreme = lambda p_hat n -> if expression p_hat > 0.5 + numStdDevsToQualityAsExtreme * square root 0.25 / n or p_hat < 0.5 - ... | import random, math
from statistics import mean, stdev
import pylab as plt
def illustrateRegressionToMean(numTrials, numStdDevsToQualityAsExtreme = 2):
l = ["H", "T"]
extreme = lambda p_hat, n:True if (p_hat>0.5+numStdDevsToQualityAsExtreme*math.sqrt(0.25/n) or p_hat<0.5-numStdDevsToQualityAsExtreme*math.sqrt(... | Python | zaydzuhri_stack_edu_python |
function _buildAspectSettingsWidget self
begin
set aspectSettingsGroupBox = call QGroupBox string Planet aspect settings:
set formLayoutAbove = call QFormLayout
call setLabelAlignment AlignLeft
set formLayoutBelow = call QFormLayout
call setLabelAlignment AlignLeft
comment Aspects enabled on Astrology Chart 1.
set aspe... | def _buildAspectSettingsWidget(self):
self.aspectSettingsGroupBox = QGroupBox("Planet aspect settings:")
formLayoutAbove = QFormLayout()
formLayoutAbove.setLabelAlignment(Qt.AlignLeft)
formLayoutBelow = QFormLayout()
formLayoutBelow.setLabelAlignment(Qt.AlignLeft)
... | Python | nomic_cornstack_python_v1 |
import json
import re
function load_products file_name
begin
string Loads a list of products from a file. Args: file_name: the file to load data from, should be a single json encoded product per line. Returns: A list of dicts corresponding to the file lines. Raises: Exception: An exception if there is an error on readi... | import json
import re
def load_products(file_name):
"""Loads a list of products from a file.
Args:
file_name: the file to load data from, should be a single json encoded
product per line.
Returns:
A list of dicts corresponding to the file lines.
Raises:
Exception:... | Python | zaydzuhri_stack_edu_python |
comment set is a collection of non repeatative elements.
string set = {1,2,3,4,5,"vikash","1",1,2} print(set) #it cannot print the repeat value of element print(type(set))
comment empty set
string set1 = {} # dictionary set2 = () # tuple set3 = [] # list set4 = set() # empty set print(type(set1)) print(type(set2)) prin... | # set is a collection of non repeatative elements.
'''set = {1,2,3,4,5,"vikash","1",1,2}
print(set) #it cannot print the repeat value of element
print(type(set))'''
#empty set
'''set1 = {} # dictionary
set2 = () # tuple
set3 = [] # list
set4 = set() # empty set
print(type(set1))
print(type(set2))
print(type(set3))
... | Python | zaydzuhri_stack_edu_python |
function r2 self data target
begin
return 1 - call rss data target / call sst target
end function | def r2(self, data, target):
return 1 - self.rss(data, target) / self.sst(target) | Python | nomic_cornstack_python_v1 |
string 给定一个范围在 1 ≤ a[i] ≤ n ( n = 数组大小 ) 的 整型数组,数组中的元素一些出现了两次,另一些只出现一次。 找到所有在 [1, n] 范围之间没有出现在数组中的数字。 您能在不使用额外空间且时间复杂度为O(n)的情况下完成这个任务吗? 你可以假定返回的数组不算在额外空间内。 示例: 输入: [4,3,2,7,8,2,3,1] 输出: [5,6] 来源:力扣(LeetCode) 链接:https://leetcode-cn.com/problems/find-all-numbers-disappeared-in-an-array 著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。
... | '''
给定一个范围在 1 ≤ a[i] ≤ n ( n = 数组大小 ) 的 整型数组,数组中的元素一些出现了两次,另一些只出现一次。
找到所有在 [1, n] 范围之间没有出现在数组中的数字。
您能在不使用额外空间且时间复杂度为O(n)的情况下完成这个任务吗? 你可以假定返回的数组不算在额外空间内。
示例:
输入:
[4,3,2,7,8,2,3,1]
输出:
[5,6]
来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/find-all-numbers-disappeared-in-an-array
著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明... | Python | zaydzuhri_stack_edu_python |
import random as rnd
comment Dimensão inicial
set dim = 2
comment Numero de atributos a serem gerados
set nDM = 2
comment Numero de datasets a serem gerados
set nDS = 200
comment Numero de instancias por dataset
set nEX = 1000
print string Generating 200 exponential datasets with 1000 instances each one:
for n in range... | import random as rnd
dim = 2 # Dimensão inicial
nDM = 2 # Numero de atributos a serem gerados
nDS = 200 # Numero de datasets a serem gerados
nEX = 1000 # Numero de instancias por dataset
print("Generating 200 exponential datasets with 1000 instances each one:")
for n in range(nDS):
n += 1
with ope... | Python | zaydzuhri_stack_edu_python |
async function test_no_hb self
begin
await call async_setup
set HB_CHECK_BUFFER = 1
set _hb_mgr = call HeartbeatManager _address _group 0
await sleep 1.1
assert _heartbeat
end function | async def test_no_hb(self):
await self.async_setup()
pyinsteon.managers.heartbeat_manager.HB_CHECK_BUFFER = 1
self._hb_mgr = pyinsteon.managers.heartbeat_manager.HeartbeatManager(
self._address, self._group, 0
)
await asyncio.sleep(1.1)
assert self._heartbeat | Python | nomic_cornstack_python_v1 |
function failure_response self
begin
return get pulumi self string failure_response
end function | def failure_response(self) -> Optional[pulumi.Input['BotResponseSpecificationArgs']]:
return pulumi.get(self, "failure_response") | Python | nomic_cornstack_python_v1 |
class Solution
begin
function uniqueMorseRepresentations self words
begin
set codes = list string .- string -... string -.-. string -.. string . string ..-. string --. string .... string .. string .--- string -.- string .-.. string -- string -. string --- string .--. string --.- string .-. string ... string - string ..... | class Solution:
def uniqueMorseRepresentations(self, words: List[str]) -> int:
codes = [
".-","-...","-.-.","-..",".","..-.","--.","....","..",".---","-.-",".-..","--","-.","---",".--.","--.-",".-.",
"...","-","..-","...-",".--","-..-","-.--","--.."
]
d = lambda x: codes[ord(x) - ord("a")]
... | Python | zaydzuhri_stack_edu_python |
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 |
import sys , os , numpy , re
set rawdata = argv at 1
set outfolder = string resources
comment READ THE SPECIFIED COLUMNS FROM THE RAW TEXT FILE
comment THEY ARE THE CHROMOSOME, FEATURE, START, AND END
set table = call loadtxt rawdata unpack=false dtype=string str usecols=tuple 0 2 3 4
comment GENERATE THE CORRECT PATH
... | import sys, os, numpy, re
rawdata=sys.argv[1]
outfolder="resources"
#READ THE SPECIFIED COLUMNS FROM THE RAW TEXT FILE
#THEY ARE THE CHROMOSOME, FEATURE, START, AND END
table=numpy.loadtxt(rawdata, unpack=False, dtype='str', usecols = (0,2,3,4))
#GENERATE THE CORRECT PATH
tableout=os.path.join(outfolder, "TEMP.gen... | Python | zaydzuhri_stack_edu_python |
comment to solve quadratic equation
import cmath
set a = 1
set b = 5
set c = 6
set x = b ^ 2 - 4 * a * c
set sol1 = - b - square root x / 2 * a
set sol2 = - b + square root x / 2 * a
print format string the solutions are {} and{} sol1 sol2 | #to solve quadratic equation
import cmath
a=1
b=5
c=6
x=(b**2)-(4*a*c)
sol1=(-b-cmath.sqrt(x))/(2*a)
sol2=(-b+cmath.sqrt(x))/(2*a)
print("the solutions are {} and{}".format(sol1,sol2) ) | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
import numpy as np
from tqdm import tqdm
import gzip
class CollapseAF extends object
begin
string Collapse stacked allele frequency tables based with non unique genomics positions Parameters ---------- **kwargs : type keyword specific updates Attributes ---------- skip_header : type skips ... | #!/usr/bin/env python3
import numpy as np
from tqdm import tqdm
import gzip
class CollapseAF(object):
"""
Collapse stacked allele frequency tables based with non unique
genomics positions
Parameters
----------
**kwargs : type
keyword specific updates
Attributes
----------
... | Python | zaydzuhri_stack_edu_python |
function check_errors self document_tree filename
begin
for tuple i report in enumerate document_tree at string lab_reports
begin
if string error in keys report
begin
print format string {}: {} string file_path + filename report at string error
append errors format string {} ERROR: {} FILENAME: {} string now report at ... | def check_errors(self, document_tree, filename):
for i, report in enumerate(document_tree['lab_reports']):
if 'error' in report.keys():
print('{}: {}'.format(str(self.file_path)+filename, report['error']))
self.errors.append("{} ERROR: {} FILENAME: {}".format(str(date... | Python | nomic_cornstack_python_v1 |
comment Gamma it's like a gamma bomb, which pretty complicated for most people, but this is what made the Hunk
import logging
comment TODO: check for debug flag and update logger
call basicConfig level=DEBUG
set log = call getLogger string Gamma
import tokenize , token
import codecs , cStringIO , encodings , re
from en... | #Gamma it's like a gamma bomb, which pretty complicated for most people, but this is what made the Hunk
import logging
#TODO: check for debug flag and update logger
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger("Gamma")
import tokenize, token
import codecs, cStringIO, encodings, re
from encodings ... | Python | zaydzuhri_stack_edu_python |
from Engine.geometry import Vec2d
from Engine.config import get_path
from Engine.config import DEBUG
import pygame
import os
from math import ceil
function load_sound path volume=1 ext=string ogg
begin
set fp = call get_path path + string . + ext
set s = call Sound fp
call set_volume volume
return s
end function
functi... | from Engine.geometry import Vec2d
from Engine.config import get_path
from Engine.config import DEBUG
import pygame
import os
from math import ceil
def load_sound(path, volume=1, ext='ogg'):
fp = get_path(path + '.' + ext)
s = pygame.mixer.Sound(fp)
s.set_volume(volume)
return s
def load_image(path... | Python | zaydzuhri_stack_edu_python |
function _test_apply_in_pandas_returning_empty_dataframe self empty_df
begin
set df = data
function stats key pdf
begin
if key at 0 % 2 == 0
begin
return call stats_with_no_column_names key pdf
end
return empty_df
end function
set result = call collect
set actual_ids = set comprehension row at 0 for row in result
set e... | def _test_apply_in_pandas_returning_empty_dataframe(self, empty_df):
df = self.data
def stats(key, pdf):
if key[0] % 2 == 0:
return GroupedApplyInPandasTestsMixin.stats_with_no_column_names(key, pdf)
return empty_df
result = (
df.groupby("id"... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import recall_score , precision_score , accuracy_score
from sklearn.cross_validation import train_test_split
from sklearn.metrics import classification_report , confusion_matri... | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import recall_score, precision_score, accuracy_score
from sklearn.cross_validation import train_test_split
from sklearn.metrics import classification_report, confusion_matrix
... | Python | zaydzuhri_stack_edu_python |
comment Read IoT database and plot any one variable
from config import *
import sys
import pymysql
import json
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
comment Note how the double quotes can be retained all the way upto the SQL statement
set SQL1 = string select SlNo, GroupId... | # Read IoT database and plot any one variable
from config import *
import sys
import pymysql
import json
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
# Note how the double quotes can be retained all the way upto the SQL statement
SQL1 = ('select SlNo, GroupId, Devi... | Python | zaydzuhri_stack_edu_python |
function iexecute self job jobs_args progress=false
begin
return none
end function | def iexecute ( self , job , jobs_args , progress = False ) :
return None | Python | nomic_cornstack_python_v1 |
function exit self
begin
if not closed
begin
try
begin
call send_json dict string tag string exit flags=NOBLOCK
call recv_json flags=NOBLOCK
end
except Again
begin
pass
end
close __req
end
end function | def exit(self):
if not self.__req.closed:
try:
self.__req.send_json({'tag': 'exit'}, flags=zmq.NOBLOCK)
self.__req.recv_json(flags=zmq.NOBLOCK)
except zmq.error.Again:
pass
self.__req.close() | Python | nomic_cornstack_python_v1 |
function get_win_prob elos
begin
comment based on https://stats.stackexchange.com/q/66398
set q = list
for elo in elos
begin
append q 10 ^ elo / 400
end
set expected_scores = list
for i in range length elos
begin
append expected_scores q at i / sum q
end
return expected_scores
end function | def get_win_prob(elos):
#based on https://stats.stackexchange.com/q/66398
q = []
for elo in elos:
q.append(10 ** (elo / 400))
expected_scores = []
for i in range(len(elos)):
expected_scores.append(q[i]/sum(q))
return expected_scores | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from skimage.io import imread , imsave
set img = call imread string ./catG.png
image show img cmap=string Greys_r
comment breite und höhe
print string x und y shape
comment anzahl der pixel
print call prod sha... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from skimage.io import imread, imsave
img = imread("./catG.png")
plt.imshow(img, cmap="Greys_r")
print("x und y",img.shape) # breite und höhe
print(np.prod(img.shape)) # anzahl der pixel
print(np.amin(img)) # minimum
pri... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
comment 정규분호 normal_dist
from scipy.stats import norm
comment 평균 얘가 2가되면 가운데가 2가 된다. 3이되면 가운데가 3 ...
set mu = 0
comment 표준편차. 얘가 커질수록 좌우로 넓어진다.
set sigma = 1
set num_sample = 100000
set s = call normal mu sigma num_sample
comment 평균mu, 표준편차sigma인 정규분포를 따르는 랜덤 변수 num_sa... | import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import norm #정규분호 normal_dist
mu = 0 #평균 얘가 2가되면 가운데가 2가 된다. 3이되면 가운데가 3 ...
sigma = 1 #표준편차. 얘가 커질수록 좌우로 넓어진다.
num_sample = 100000
s = np.random.normal(mu, sigma, num_sample)
#평균mu, 표준편차sigma인 정규분포를 따르는 랜덤 변수 num_sample개를 생성하시오
cnt, bins, ignored =... | Python | zaydzuhri_stack_edu_python |
import re
set text = string The rain in Spain
set x = sub string in string ** text
set x = sub string \s+ string text
print x | import re
text = "The rain in Spain"
x = re.sub("in", "**", text)
x = re.sub("\s+", " ", text)
print(x) | Python | zaydzuhri_stack_edu_python |
while true
begin
set tuple n p = map int split input
if n == 0
begin
break
end
set lst = list 0 * n
set ind = 0
set rest = p
while true
begin
if rest == 0
begin
set rest = lst at ind
set lst at ind = 0
end
else
begin
set lst at ind = lst at ind + 1
set rest = rest - 1
if lst at ind == p
begin
print ind
break
end
end
se... | while True:
n, p = map(int, input().split())
if n == 0:
break
lst = [0] * n
ind = 0
rest = p
while True:
if rest == 0:
rest = lst[ind]
lst[ind] = 0
else:
lst[ind] += 1
rest -= 1
if lst[ind] == p:
print(ind)
break
ind = (ind + 1) % n
| Python | jtatman_500k |
function find_file name open_mode
begin
comment All useful files have already been hashed. So just check the hash.
if get __file_hash name
begin
return open __file_hash at name open_mode
end
else
comment This elif clause checks if the user passed in the file path instead of just the file name
if name in iterate values ... | def find_file(name, open_mode):
# All useful files have already been hashed. So just check the hash.
if __file_hash.get(name):
return open(__file_hash[name], open_mode)
# This elif clause checks if the user passed in the file path instead of just the file name
elif name in iter(__file_hash.... | Python | nomic_cornstack_python_v1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.