code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
while true
begin
set palavra = input string Digite uma palavra:
if upper palavra == string SAIR
begin
break
end
print string A palavra '%s' tem %d caracteres % tuple palavra length palavra
end | while True:
palavra = input('Digite uma palavra: ')
if palavra.upper() == 'SAIR':
break
print("A palavra '%s' tem %d caracteres" % (palavra, len(palavra)))
| Python | zaydzuhri_stack_edu_python |
comment Given string S and a dictionary of words words, find the number of words[i] that is a subsequence of S.
comment Example :
comment Input:
comment S = "abcde"
comment words = ["a", "bb", "acd", "ace"]
comment Output: 3
comment Explanation: There are three words in words that are a subsequence of S: "a", "acd", "a... | # Given string S and a dictionary of words words, find the number of words[i] that is a subsequence of S.
# Example :
# Input:
# S = "abcde"
# words = ["a", "bb", "acd", "ace"]
# Output: 3
# Explanation: There are three words in words that are a subsequence of S: "a", "acd", "ace".
import sys
def numMatchingSubseq(S,... | Python | zaydzuhri_stack_edu_python |
import argparse
import re
import collections
set COUNT_UNIT_STATISTIC = 10
function load_data filepath
begin
with open filepath string rt encoding=string utf8 as file_with_text
begin
return read file_with_text
end
end function
function get_most_frequent_words text_study
begin
set word_pattern = string [\w\-]+
set words... | import argparse
import re
import collections
COUNT_UNIT_STATISTIC = 10
def load_data(filepath):
with open(filepath, 'rt', encoding='utf8') as file_with_text:
return file_with_text.read()
def get_most_frequent_words(text_study):
word_pattern = r'[\w\-]+'
words_all = re.findall(word_pattern, text... | Python | zaydzuhri_stack_edu_python |
function get_field_schema self value schemas **kwargs
begin
set keys = get kwargs string keys GET_SCHEMA_KEYS
set search = strip lower value
for schema in schemas
begin
if not get schema string selectable
begin
continue
end
for key in keys
begin
if search == lower schema at key
begin
return schema
end
end
end
set msg =... | def get_field_schema(self, value, schemas, **kwargs):
keys = kwargs.get("keys", GET_SCHEMA_KEYS)
search = value.lower().strip()
for schema in schemas:
if not schema.get("selectable"):
continue
for key in keys:
if search == schema[key].low... | Python | nomic_cornstack_python_v1 |
function meanTemplateEig self figsize
begin
set snIb = call readtemplate string Ib
set snIc = call readtemplate string Ic
set snIIb = call readtemplate string IIb
set snIcBL = call readtemplate string IcBL
set tuple f axs = call subplots 2 2 figsize=figsize sharex=true sharey=true
call subplots_adjust hspace=0.05 wspac... | def meanTemplateEig(self, figsize):
snIb = readtemplate('Ib')
snIc = readtemplate('Ic')
snIIb = readtemplate('IIb')
snIcBL = readtemplate('IcBL')
f, axs = plt.subplots(2,2,figsize=figsize, sharex=True, sharey=True)
plt.subplots_adjust(hspace=0.05, wspace=0.05)
axs... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Thu Jul 19 16:32:57 2018 @author: Lhnet
import matplotlib.pyplot as plt
import numpy as np
set n = randn 100000
set tuple fig axes = call subplots 1 2 figsize=tuple 12 4
histogram n
call set_title string Default histogram
call set_xlim tuple min n max n
histogram n cumula... | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 19 16:32:57 2018
@author: Lhnet
"""
import matplotlib.pyplot as plt
import numpy as np
n = np.random.randn(100000)
fig, axes = plt.subplots(1, 2, figsize=(12,4))
axes[0].hist(n)
axes[0].set_title("Default histogram")
axes[0].set_xlim((min(n), max(n)))
axes[1].hist(n, c... | Python | zaydzuhri_stack_edu_python |
function prior_min_field field_name field_value
begin
set name = field_name
set value = copy field_value
update value dict string label string Min ; string required false
return tuple name + string _min value
end function | def prior_min_field(field_name, field_value):
name = field_name
value = field_value.copy()
value.update({
'label': 'Min',
'required': False,
})
return name + '_min', value | Python | nomic_cornstack_python_v1 |
function create_pidfile self
begin
set pidfile = config at string rnmsd_pid_file
set piddir = directory name path pidfile
if not is directory path piddir
begin
error string Exiting, pidfile directory %s doesn't exist piddir
exit 1
return
end
try
begin
set pf = call file pidfile
set pid = integer strip read pf
close pf
... | def create_pidfile(self):
pidfile = config['rnmsd_pid_file']
piddir = os.path.dirname(pidfile)
if not os.path.isdir(piddir):
self.log.error(
'Exiting, pidfile directory %s doesn\'t exist',
piddir)
sys.exit(1)
return
try:... | Python | nomic_cornstack_python_v1 |
string Defines all database tables for the `data` django app
import re
from django.db import models
class DataType extends Model
begin
string Defines db table for `DataType`s
comment e.g. VARCHAR, MEASURE, INT etc
set name = call CharField max_length=140 unique=true
comment pylint: disable=signature-differs
function sa... | '''
Defines all database tables for the `data` django app
'''
import re
from django.db import models
class DataType(models.Model):
'''
Defines db table for `DataType`s
'''
name = models.CharField(max_length=140, unique=True) # e.g. VARCHAR, MEASURE, INT etc
def save(self, *args, **kwargs): # ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
from django.db import models
from django_cache.cache.cache_decorator import *
set __author__ = string Zhangxiaofan
class BaseDao extends object
begin
function __init__ self model
begin
set model = model
end function
decorator call cache_set
function cache_add s... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from django.db import models
from django_cache.cache.cache_decorator import *
__author__ = 'Zhangxiaofan'
class BaseDao(object):
def __init__(self, model):
self.model = model
@cache_set()
def cache_add(self, model):
"""
插入缓存中
... | Python | zaydzuhri_stack_edu_python |
function __init__ self examples model show_progress_bar=none
begin
if show_progress_bar is none
begin
set show_progress_bar = call getEffectiveLevel == INFO or call getEffectiveLevel == DEBUG
end
set show_progress_bar = show_progress_bar
call convert_input_examples examples model
end function | def __init__(self, examples: List[InputExample], model: SentenceTransformer, show_progress_bar: bool = None):
if show_progress_bar is None:
show_progress_bar = (logging.getLogger().getEffectiveLevel() == logging.INFO or logging.getLogger().getEffectiveLevel() == logging.DEBUG)
self.show_prog... | Python | nomic_cornstack_python_v1 |
function getNotifications self
begin
return targets
end function | def getNotifications(self):
return self.data.notifications.targets | Python | nomic_cornstack_python_v1 |
for k in vet
begin
append res count a k
end
set ok = true
set um = false
for l in res
begin
if l and um or l > 1
begin
set ok = false
end
else
if l
begin
set um = true
end
end
if ok and um
begin
print string YES
end
else
begin
print string NO
end | for k in vet:
res.append(a.count(k))
ok = True
um = False
for l in res:
if((l and um) or (l > 1)):
ok = False
elif(l):
um = True
if(ok and um):
print("YES")
else:
print("NO") | Python | zaydzuhri_stack_edu_python |
import time
from gpio.Buzzer import ActiveBuzzer
from gpio.Pcf8591 import Pcf8591
from gpio.RgbLed import RgbLed
class Gas
begin
function __init__ self pcf8591 ain
begin
set __pcf8591 = pcf8591
set __ain = ain
set buzzer = call ActiveBuzzer 35
set rgbLed = call RgbLed redpin=16
end function
function read self
begin
set... | import time
from gpio.Buzzer import ActiveBuzzer
from gpio.Pcf8591 import Pcf8591
from gpio.RgbLed import RgbLed
class Gas:
def __init__(self, pcf8591, ain):
self.__pcf8591 = pcf8591
self.__ain = ain
self.buzzer = ActiveBuzzer(35)
self.rgbLed = RgbLed(redpin=16)
def read(self... | Python | zaydzuhri_stack_edu_python |
function get self
begin
debug string Request: { request }
try
begin
comment Read from the database
debug string Retrieving all picklist values...
set all_picklists = call scan
comment Convert each record to a dictionary, compile into a list
set output = list
for picklist in all_picklists
begin
append output call to_di... | def get(self) -> json:
logger.debug(f"Request: {request}")
try:
# Read from the database
logger.debug("Retrieving all picklist values...")
all_picklists = Picklist.scan()
# Convert each record to a dictionary, compile into a list
output = []
... | Python | nomic_cornstack_python_v1 |
function initial_concentration self
begin
return initial_value / 1000.0 * N_a
end function | def initial_concentration(self):
return self.initial_value / 1000.0 * N_a | Python | nomic_cornstack_python_v1 |
function search_in_help self topic
begin
set key_lower = lower topic
if key_lower == string args
begin
call print_help_text docs_args_text
end
else
if key_lower == string sort
begin
call print_help_text docs_sort_text
end
else
if key_lower == string groups
begin
call print_help_text docs_groups_text
end
else
if key_low... | def search_in_help(self, topic: str):
key_lower = topic.lower()
if key_lower == 'args':
self.print_help_text(docs_args_text)
elif key_lower == 'sort':
self.print_help_text(docs_sort_text)
elif key_lower == 'groups':
self.print_help_text(docs_groups_tex... | Python | nomic_cornstack_python_v1 |
function encode n minlen=1 charset=CHARSET_DEFAULT
begin
set chs = list
while n > 0
begin
set r = n % BASE
set n = n // BASE
append chs charset at r
end
if length chs > 0
begin
reverse chs
end
else
begin
append chs string 0
end
set s = join string chs
set s = charset at 0 * max minlen - length s 0 + s
return s
end fu... | def encode(n, minlen=1, charset=CHARSET_DEFAULT):
chs = []
while n > 0:
r = n % BASE
n //= BASE
chs.append(charset[r])
if len(chs) > 0:
chs.reverse()
else:
chs.append('0')
s = ''.join(chs)
s = charset[0] * max(minlen - len(s), 0) + s
return s | Python | nomic_cornstack_python_v1 |
function test_no_exceptions self
begin
set t = thread target=start
start t
call put_inbox call dummy_envelope
sleep 1
assert handler_called >= 2
end function | def test_no_exceptions(self) -> None:
t = Thread(target=self.aea.start)
t.start()
self.aea_tool.put_inbox(self.aea_tool.dummy_envelope())
time.sleep(1)
assert self.handler_called >= 2 | Python | nomic_cornstack_python_v1 |
while p <= n
begin
set is_prime = true
for i in range 2 p
begin
if p % i == 0
begin
set is_prime = false
break
end
end
if is_prime is true
begin
print p
end
set p = p + 1
end | while p <= n:
is_prime = True
for i in range(2, p):
if p % i == 0:
is_prime = False
break
if (is_prime is True):
print(p)
p = p + 1 | Python | zaydzuhri_stack_edu_python |
import argparse
from trainer import train
from processor import process
function output_result final_data output_file
begin
with open output_file string w as file
begin
for tuple word wf in final_data
begin
print strip format string {} {} word wf or string file=file
end
end
end function
function main training_dir test_... | import argparse
from trainer import train
from processor import process
def output_result(final_data, output_file):
with open(output_file, 'w') as file:
for (word, wf) in final_data:
print('{} {}'.format(word, wf or '').strip(), file=file)
def main(training_dir, test_file, output_file):
p... | Python | zaydzuhri_stack_edu_python |
function forward self x
begin
set pre_activation = matrix multiply x + unsqueeze clone _bias 0
return pre_activation
end function | def forward(self, x):
pre_activation = self._weights.t().matmul(x) + self._bias.clone().unsqueeze(0)
return pre_activation | Python | nomic_cornstack_python_v1 |
function binary_to_seq
begin
set tuple bin_seq dico_binary comp_seq file_comp = call utf8_to_binary
comment for each binary value associate the corresponding letter (key)
comment according to the dictionnary
set dna_seq = string
set reading_binary = string
for value in bin_seq
begin
set reading_binary = reading_binar... | def binary_to_seq():
bin_seq, dico_binary, comp_seq, file_comp = utf8_to_binary()
#for each binary value associate the corresponding letter (key)
#according to the dictionnary
dna_seq = ""
reading_binary = ""
for value in bin_seq:
reading_binary += value
for letter, code i... | Python | nomic_cornstack_python_v1 |
string Nodige imports
import hashlib
import requests
import time
string Variabelen
set ts = time
set public_key = string private
set private_key = string public
set name = input string Character name:
function hash_params
begin
string Functie voor md5 hash voor api key + tijdstip
set hash_md5 = md5
update hash_md5 enco... | """Nodige imports"""
import hashlib
import requests
import time
"""Variabelen"""
ts = time.time()
public_key = 'private'
private_key = 'public'
name = input("Character name: ")
def hash_params():
""" Functie voor md5 hash voor api key + tijdstip """
hash_md5 = hashlib.md5()
hash_md5.upda... | Python | zaydzuhri_stack_edu_python |
function _is_dynamic self
begin
return call pn_terminus_is_dynamic _impl
end function | def _is_dynamic(self):
return pn_terminus_is_dynamic(self._impl) | Python | nomic_cornstack_python_v1 |
function get_e_log_perturbation log_phi stick_propn_mean stick_propn_info gh_loc gh_weights sum_vector=true
begin
set e_perturbation_vec = call get_e_fun_normal stick_propn_mean stick_propn_info gh_loc gh_weights log_phi
if sum_vector
begin
return sum e_perturbation_vec
end
else
begin
return e_perturbation_vec
end
end ... | def get_e_log_perturbation(log_phi, stick_propn_mean, stick_propn_info,
gh_loc, gh_weights, sum_vector=True):
e_perturbation_vec = get_e_fun_normal(
stick_propn_mean, stick_propn_info,
gh_loc, gh_weights, log_phi)
if sum_vector... | Python | nomic_cornstack_python_v1 |
function sol_4 mat
begin
set tuple ans ind n = tuple - 1 length mat at 0 - 1 length mat
for i in range n
begin
set j = ind
while j >= 0 and mat at i at j
begin
set j = j - 1
end
if ind > j
begin
set ind = j
set ans = i
end
end
return ans
end function | def sol_4(mat: list) -> int:
ans, ind, n = -1, len(mat[0])-1, len(mat)
for i in range(n):
j = ind
while j >= 0 and mat[i][j]:
j -= 1
if ind > j:
ind = j
ans = i
return ans | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment In[ ]:
set total = 0
while true
begin
set coin = integer input string Enter a coin!
if coin == - 1
begin
break
end
else
if coin == 10 or coin == 25 or coin == 50
begin
set total = total + coin
end
else
begin
print string Please enter a valid coin value!
end
end... | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
total = 0
while(True):
coin = int(input("Enter a coin! "))
if coin == -1:
break
elif (coin == 10) or (coin == 25) or (coin == 50):
total += coin
else:
print("Please enter a valid coin value!")
# Use while loop to let user enter a... | Python | zaydzuhri_stack_edu_python |
import copy
from typing import List
class Solution
begin
function trap self heights
begin
set p1 = 0
set p2 = length heights - 1
set maxL = 0
set maxR = 0
set area_total = 0
while p1 != p2
begin
comment A = 1 * (min(maxL, maxR) - heights[i])
set height_in_p1 = heights at p1
set height_in_p2 = heights at p2
comment upda... | import copy
from typing import List
class Solution:
def trap(self, heights: List):
p1 = 0
p2 = len(heights) - 1
maxL = 0
maxR = 0
area_total = 0
while p1 != p2:
# A = 1 * (min(maxL, maxR) - heights[i])
height_in_p1 = heights[p1]
he... | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 -*-
from task.ITaskEditorDisplayableObject import *
from util.util import adaptTextColor
class AbstractSchedulableObject extends ITaskEditorDisplayableObject
begin
string Classe permettant la généralisation de Task et Group.
function __init__ self nom periode desc=string color=string white id=... | # -*- coding:utf-8 -*-
from .task.ITaskEditorDisplayableObject import *
from util.util import adaptTextColor
class AbstractSchedulableObject(ITaskEditorDisplayableObject):
"""
Classe permettant la généralisation de Task et Group.
"""
def __init__(self, nom, periode, desc="", color="white", id... | Python | zaydzuhri_stack_edu_python |
string Action handler of get request;
from django.db.models import Q
from django.core.exceptions import ObjectDoesNotExist
from spec.exception import InputDataServerException
from book.models import Book
function get_q object_name arg search_type=string
begin
string Makes Q object for 'object_name' with search type fro... | '''Action handler of get request;'''
from django.db.models import Q
from django.core.exceptions import ObjectDoesNotExist
from spec.exception import InputDataServerException
from book.models import Book
def get_q(object_name, arg, search_type=''):
"Makes Q object for 'object_name' with search type from 'search_... | Python | zaydzuhri_stack_edu_python |
function getAllPlaylist self
begin
set tuple data _ = call _fetch string playlists
return call depaginate data
end function | def getAllPlaylist(self):
data, _ = self._fetch('playlists')
return self.depaginate(data) | Python | nomic_cornstack_python_v1 |
function _export_table table fname
begin
string Export DataFrame to .csv
import os.path as op
set extension = call splitext lower fname at 1
if extension == string
begin
set fname = fname + string .csv
end
to csv table fname index=none sep=string , encoding=string utf-8 float_format=string %.4f decimal=string .
end fu... | def _export_table(table, fname):
"""Export DataFrame to .csv"""
import os.path as op
extension = op.splitext(fname.lower())[1]
if extension == '':
fname = fname + '.csv'
table.to_csv(fname, index=None, sep=',', encoding='utf-8',
float_format='%.4f', decimal='.') | Python | jtatman_500k |
import nuke
import re
comment this is a test text | import nuke
import re
# this is a test text | Python | zaydzuhri_stack_edu_python |
import gym
from gym import spaces
import numpy as np | import gym
from gym import spaces
import numpy as np
| Python | iamtarun_python_18k_alpaca |
function is_invalidated self
begin
if status == string invalidated
begin
return true
end
return false
end function | def is_invalidated(self):
if self.status == "invalidated":
return True
return False | Python | nomic_cornstack_python_v1 |
function calculateCircleArea radius
begin
set MAX_RADIUS = 10 ^ 9
set ROUNDING_FACTOR = 0.5
set radius_squared = radius * radius
set area = radius_squared * 4
set rounded_area = integer area + ROUNDING_FACTOR
if rounded_area > MAX_RADIUS * 4
begin
return MAX_RADIUS * 4
end
else
begin
return rounded_area
end
end functio... | def calculateCircleArea(radius):
MAX_RADIUS = 10 ** 9
ROUNDING_FACTOR = 0.5
radius_squared = radius * radius
area = radius_squared * 4
rounded_area = int(area + ROUNDING_FACTOR)
if rounded_area > MAX_RADIUS * 4:
return MAX_RADIUS * 4
else:
return rounded_area
| Python | jtatman_500k |
function kmeans2
begin
pass
end function | def kmeans2():
pass | Python | nomic_cornstack_python_v1 |
function runner
begin
return call CliRunner
end function | def runner() -> CliRunner:
return CliRunner() | Python | nomic_cornstack_python_v1 |
function fit_rois self M ROIs
begin
set tuple X y = call _fit_rois M ROIs
fit call super HyperKNeighborsClassifier self X y
end function | def fit_rois(self, M, ROIs):
X, y = self._fit_rois(M, ROIs)
super(HyperKNeighborsClassifier, self).fit(X, y) | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
from detect_function import *
from config import *
comment tf.enable_eager_execution()
import os
set environ at string CUDA_VISIBLE_DEVICES = string 0
set B1 = call constant list list list list 3 5 3 6 dtype=float32 name=string box1
set B2 = call constant list list list list 5 6 3 6 dtype=float3... | import tensorflow as tf
from detect_function import *
from config import *
# tf.enable_eager_execution()
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
B1 = tf.constant([[[[3, 5, 3, 6]]]], dtype=tf.float32, name='box1')
B2 = tf.constant([[[[5, 6, 3, 6]]]], dtype=tf.float32, name='box2')
IoU = YOLOv3_detection(anch... | Python | zaydzuhri_stack_edu_python |
function source_change_tunein_can_interrupt_other_source_playback self
begin
comment prepare play queue with one radio station
set tunein_play_ids = call add_stations_to_play_queue 1
call _tunein_station_play_and_verify tunein_play_ids at 0
call _deezer_track_add_play_and_verify
call _tunein_station_play_and_verify tun... | def source_change_tunein_can_interrupt_other_source_playback(self):
# prepare play queue with one radio station
tunein_play_ids = self._tunein_client.add_stations_to_play_queue(1)
self._tunein_station_play_and_verify(tunein_play_ids[0])
self._deezer_track_add_play_and_verify()
self._tunein_statio... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment @author: hz_company
comment @license: (C) Copyright 2016-2019, Node Supply Chain Manager Corporation Limited.
comment @software: PyCharm
comment @file: read_model.py
comment @time: 2019/4/10 11:56
comment @Software: PyCharm
comment @Site :
comment @desc:
import os
import yaml
impor... | # -*- coding: utf-8 -*-
# @author: hz_company
# @license: (C) Copyright 2016-2019, Node Supply Chain Manager Corporation Limited.
# @software: PyCharm
# @file: read_model.py
# @time: 2019/4/10 11:56
# @Software: PyCharm
# @Site :
# @desc:
import os
import yaml
import configparser
class ReadModelIni(object):
... | Python | zaydzuhri_stack_edu_python |
function hours_known self
begin
if all
begin
return true
end
else
begin
return false
end
end function | def hours_known(self):
if self.schedules.all():
return True
else: return False | Python | nomic_cornstack_python_v1 |
function my_function arg
begin
comment write the body of your function here
set ind = list
end function
class FibClass extends object
begin
function __init__ self
begin
comment dict creation
set memo = dict
end function
function fib self n
begin
if n < 0
begin
raise ValueError
end
if n in memo
begin
return memo at n
... | def my_function(arg):
# write the body of your function here
ind=[];
class FibClass(object):
def __init__(self):
self.memo = {}; #dict creation
def fib(self,n):
if n<0: raise ValueError;
if n in self.memo:
return self.memo[n];
elif n==0: result = 0;
e... | Python | zaydzuhri_stack_edu_python |
comment P01: Two Sum
comment difficulty: E
string Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice.
class Solution
begin
function twoSum self nums target
be... | # P01: Two Sum
# difficulty: E
"""
Given an array of integers, return indices of the two numbers such that they
add up to a specific target.
You may assume that each input would have exactly one solution, and you may not
use the same element twice.
"""
class Solution:
def twoSum(self, nums: [int], target: int) -... | Python | zaydzuhri_stack_edu_python |
function splitOnIndex examples attribute index
begin
set midValue = examples at index at attribute + examples at index + 1 at attribute / 2
set tuple greater lesser = tuple list list
for i in range length examples
begin
if examples at i at attribute > midValue
begin
append greater examples at i
end
else
begin
append le... | def splitOnIndex(examples, attribute, index):
midValue = (examples[index][attribute] + examples[index + 1][attribute]) / 2
greater, lesser = list(), list()
for i in range(len(examples)):
if examples[i][attribute] > midValue:
greater.append(examples[i])
else:
le... | Python | nomic_cornstack_python_v1 |
function reconnect_conservative trajs locs locs_array max_blinks=0 frame_interval=0.00548 pixel_size_um=0.16 **kwargs
begin
set out = list
comment A single localization and trajectory pair - assignment
comment is unambiguous. This is the only situation where reconnection
comment is allowed.
set n_trajs = length trajs
... | def reconnect_conservative(trajs, locs, locs_array, max_blinks=0,
frame_interval=0.00548, pixel_size_um=0.16, **kwargs):
out = []
# A single localization and trajectory pair - assignment
# is unambiguous. This is the only situation where reconnection
# is allowed.
n_trajs = len(trajs)
n_loc... | Python | nomic_cornstack_python_v1 |
import json
import csv
comment JSON object
set json_object = string { "users": [ { "Name": "John", "Age": 28, "Email": "john@example.com" }, { "Name": "Alice", "Age": 24, "Email": "alice@example.com" }, { "Name": "Bob", "Age": 32 }, { "Name": "Eve" } ] }
try
begin
comment Parse JSON object
set data = loads json_object
... | import json
import csv
# JSON object
json_object = '''
{
"users": [
{
"Name": "John",
"Age": 28,
"Email": "john@example.com"
},
{
"Name": "Alice",
"Age": 24,
"Email": "alice@example.com"
},
{
"Name": "Bob",
"Age": 32
},
{
"Name": "Eve"... | Python | jtatman_500k |
import sys
import cv2
import matplotlib.pyplot as plt
import numpy as np
import requests
function get_word word
begin
set key = string b28515ae-24a1-4796-be7c-e5cda4b47014
set URL = string https://www.dictionaryapi.com/api/v3/references/sd2/json/
set URL = URL + word + string ?
set URL = URL + key
set PARAMS = dict str... | import sys
import cv2
import matplotlib.pyplot as plt
import numpy as np
import requests
def get_word(word):
key = 'b28515ae-24a1-4796-be7c-e5cda4b47014'
URL = 'https://www.dictionaryapi.com/api/v3/references/sd2/json/'
URL += word + '?'
URL += key
PARAMS = {'word': word,'key': key}
r = reque... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import Outliers as OT
string Volatility Bucketing Given a matrix lr, shape of n, m, choose a sebset in the m columns so that the det(R) is minimized, where R is the qr decomposition of the given lr. This is is used to pick the trigger time of strategy in MTS, especially when the look back is long rel... | import numpy as np
import Outliers as OT
"""
Volatility Bucketing
Given a matrix lr, shape of n, m, choose
a sebset in the m columns so that the det(R)
is minimized, where R is the qr decomposition of
the given lr.
This is is used to pick the trigger time of
strategy in MTS, especially when the look back
is long r... | Python | zaydzuhri_stack_edu_python |
from main import db
class PayrollModel extends Model
begin
set __tablename__ = string payrolls
set id = call Column Integer primary=true
set gross_salary = call Column Float
set net_salary = call Column Float
set PAYE = call Column Float
set NHIF = call Column Float
set NSSF = call Column Float
set employee_id = call C... | from main import db
class PayrollModel(db.Model):
__tablename__ = 'payrolls'
id = db.Column(db.Integer, primary=True)
gross_salary = db.Column(db.Float)
net_salary = db.Column(db.Float)
PAYE = db.Column(db.Float)
NHIF = db.Column(db.Float)
NSSF = db.Column(db.Float)
employee_id = db.Co... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Sat Feb 16 10:47:23 2019 @author: Ruman
import pandas as pd
import numpy as np
from sklearn.linear_model import Lasso , LinearRegression , LogisticRegression
from sklearn.model_selection import train_test_split
from scipy.stats import uniform... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 16 10:47:23 2019
@author: Ruman
"""
import pandas as pd
import numpy as np
from sklearn.linear_model import Lasso, LinearRegression, LogisticRegression
from sklearn.model_selection import train_test_split
from scipy.stats import uniform as sp_rand
... | Python | zaydzuhri_stack_edu_python |
comment Use a while loop to take numbers from a user until they give a "q"
while true
begin
set user_input = input string Enter a number to add or q to finish:
if user_input == string q
begin
break
end
else
begin
set total = total + integer user_input
end
end
comment Print the total out
print string The sum is: total | # Use a while loop to take numbers from a user until they give a "q"
while True:
user_input = input("Enter a number to add or q to finish: ")
if user_input == "q":
break
else:
total += int(user_input)
# Print the total out
print("The sum is:", total) | Python | zaydzuhri_stack_edu_python |
function drop_tables
begin
set table_names = list comprehension l at 0 for l in rows
for table_name in table_names
begin
call execute_sql format string DROP TABLE {}; table_name
end
end function | def drop_tables():
table_names = [l[0] for l in execute_sql("""SELECT name FROM sqlite_master WHERE type='table';""").rows]
for table_name in table_names:
execute_sql("""DROP TABLE {};""".format(table_name)) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
from sys import exit
comment Handel room goes to Bach or death. | #!/usr/bin/python
# -*- coding: utf-8 -*-
from sys import exit
#Handel room goes to Bach or death.
| Python | zaydzuhri_stack_edu_python |
function add_monster
begin
function print_monsters_database
begin
string Print the Monsters database so the user knows what monsters or characters have been added
set monsters = select Monsters
clear
print GREEN + string * * 80
print string + BRIGHT + string Monsters Database
print string + DIM + string (Monsters in ... | def add_monster():
def print_monsters_database():
"""Print the Monsters database so the user knows what monsters or characters have been added"""
monsters = Monsters.select()
clear()
print(Fore.GREEN + "*" * 80)
print("\t\t\t" + Style.BRIGHT + "Monsters Database")
pr... | Python | nomic_cornstack_python_v1 |
function get_radius self times
begin
return call projected_radius times
end function | def get_radius(self, times):
return self._backend.projected_radius(times) | Python | nomic_cornstack_python_v1 |
function initialize self widget=widget size=size position=position autodestruct=autodestruct
begin
call set_autodestruct autodestruct
comment default widget
if widget is none
begin
set widget = call GalryWidget
end
comment if widget is not an instance of GalryWidget, maybe it's a class,
comment then try to instanciate ... | def initialize(self, widget=widget, size=size, position=position,
autodestruct=autodestruct):
self.set_autodestruct(autodestruct)
# default widget
if widget is None:
widget = GalryWidget()
# if widget is not an instance of GalryWidge... | Python | nomic_cornstack_python_v1 |
string Uma empresa vende o mesmo produto para quatro diferentes estados. Cada estado possui uma taxa diferente de imposto sobre o produto (MG 7%; SP 12%; RJ 15%; MS 8%). Faça um programa em que o usuário entre com o valor e o estado de destino do produto e o programa retorne o preço final do produto acrecido do imposto... | """
Uma empresa vende o mesmo produto para quatro diferentes estados. Cada estado possui
uma taxa diferente de imposto sobre o produto (MG 7%; SP 12%; RJ 15%; MS 8%). Faça
um programa em que o usuário entre com o valor e o estado de destino do produto e o
programa retorne o preço final do produto acrecido do imposto do... | Python | zaydzuhri_stack_edu_python |
function set_attr self name values axis=0 dtype=none
begin
string **DEPRECATED** - Use `ds.ra.key = values` or `ds.ca.key = values` instead
call deprecated string 'set_attr' is deprecated. Use 'ds.ra.key = values' or 'ds.ca.key = values' instead
if axis == 0
begin
set ra at name = values
end
else
begin
set ca at name =... | def set_attr(self, name: str, values: np.ndarray, axis: int = 0, dtype: str = None) -> None:
"""
**DEPRECATED** - Use `ds.ra.key = values` or `ds.ca.key = values` instead
"""
deprecated("'set_attr' is deprecated. Use 'ds.ra.key = values' or 'ds.ca.key = values' instead")
if axis == 0:
self.ra[name] = value... | Python | jtatman_500k |
function set_camera_parameters self camera_parameters
begin
for key in camera_parameters
begin
if not key in camera_parameters
begin
raise call KeyError string The specified property keys are not valid + string Valid keys are: + string camera_parameters
end
set camera_parameters at key = camera_parameters at key
end
se... | def set_camera_parameters(self, camera_parameters: Dict):
for key in camera_parameters:
if not key in self.camera_parameters:
raise KeyError("The specified property keys are not valid" +
" Valid keys are: "+str(self.camera_parameters))
... | Python | nomic_cornstack_python_v1 |
from socket import *
set severPort = 12000
set severSocket = call socket AF_INET SOCK_DGRAM
call bind tuple string severPort
print string The sever is ready to receive
while true
begin
set tuple message clientAddress = call recvfrom 2048
set modifiedMessage = upper decode message
call sendto encode modifiedMessage cli... | from socket import *
severPort = 12000
severSocket = socket(AF_INET,SOCK_DGRAM)
severSocket.bind(('',severPort))
print("The sever is ready to receive")
while True:
message ,clientAddress = severSocket.recvfrom(2048)
modifiedMessage = message.decode().upper()
severSocket.sendto(modifiedMessage.encode(),clientAddre... | Python | zaydzuhri_stack_edu_python |
function run self
begin
try
begin
with signal_handler
begin
while call should_run
begin
call advance
if reloader
begin
call reloader
end
end
end
end
except Exception
begin
pass
end
end function | def run(self):
try:
with self.graph.signal_handler:
while self.should_run():
self.advance()
if self.reloader:
self.reloader()
except Exception:
pass | Python | nomic_cornstack_python_v1 |
function initialize self request
begin
if type request == NoneType
begin
comment Set some defaults
for name in attributeNames
begin
set attributes at name = string Unknown
end
set attributes at string CreationTime = string call dateTime
set attributes at string Status = string New
set result = call getProxyInfo
if resu... | def initialize( self, request ):
if type( request ) == NoneType:
# Set some defaults
for name in self.attributeNames:
self.attributes[name] = 'Unknown'
self.attributes['CreationTime'] = str( Time.dateTime() )
self.attributes['Status'] = "New"
result = getProxyInfo()
if re... | Python | nomic_cornstack_python_v1 |
comment Iterative python program to reverse an array
comment Function to reverse A[] from start to end
function reverselist A start end
begin
while start < end
begin
set tuple A at start A at end = tuple A at end A at start
set start = start + 1
set end = end - 1
end
end function
comment Driver function to test above f... | # Iterative python program to reverse an array
# Function to reverse A[] from start to end
def reverselist(A,start,end):
while start < end:
A[start],A[end] = A[end],A[start]
start += 1
end -= 1
# Driver function to test above function
A = [1,2,3,4,5,6]
print(A)
reverselist(A,... | Python | zaydzuhri_stack_edu_python |
comment This module consists of the compute_tweets function.
comment The function takes two parameters, processes the tweets, and then outputs the results.
import string
function compute_tweets tweetsFile keywordsFile
begin
try
begin
comment Opens keywords file, avoid encoding errors
set infile = open keywordsFile stri... | # This module consists of the compute_tweets function.
# The function takes two parameters, processes the tweets, and then outputs the results.
import string
def compute_tweets(tweetsFile, keywordsFile):
try:
# Opens keywords file, avoid encoding errors
infile = open(keywordsFile, "r", enc... | Python | zaydzuhri_stack_edu_python |
function reset_login_attempts self
begin
set login_attempts = 0
end function | def reset_login_attempts(self):
self.login_attempts = 0 | Python | nomic_cornstack_python_v1 |
function ignore_listings name_key
begin
comment for blacklist_str in models_blacklist:
comment if blacklist_str in name_key:
comment return True
return false
end function | def ignore_listings(name_key):
# for blacklist_str in models_blacklist:
# if blacklist_str in name_key:
# return True
return False | Python | nomic_cornstack_python_v1 |
function nplm_cost_gradient parameters input output
begin
set tuple W U H C = parameters
set context_size = length input
set x = concatenate list comprehension C at input at i for i in range context_size
comment Append bias term
set x = append np x 1.0
set x = reshape x - 1 1
set hidden_layer = tanh dot x
set y = dot x... | def nplm_cost_gradient(parameters, input, output):
W, U, H, C = parameters
context_size = len(input)
x = np.concatenate([C[input[i]] for i in range(context_size)])
x = np.append(x, 1.) # Append bias term
x = x.reshape(-1, 1)
hidden_layer = np.tanh(H.dot(x))
y = W.dot(x) + U.dot(hidden_lay... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
from matplotlib.dates import MONDAY , DateFormatter , DayLocator , WeekdayLocator
from matplotlib import pyplot as plt
from mpl_finance import candlestick_ohlc
import matplotlib.dates as mdates
from matplotlib.patches import Patch
import datetime
import os.path
import patrones
set... | import pandas as pd
import numpy as np
from matplotlib.dates import MONDAY, DateFormatter, DayLocator, WeekdayLocator
from matplotlib import pyplot as plt
from mpl_finance import candlestick_ohlc
import matplotlib.dates as mdates
from matplotlib.patches import Patch
import datetime
import os.path
import patrones
dir ... | Python | zaydzuhri_stack_edu_python |
import requests
from bs4 import BeautifulSoup as BS
import json
import html
function beano_jokes
begin
set data = list
set req = get requests string https://www.beano.com/categories/jokes
set soup = call BS content string lxml
set layer1 = find all soup string div dict string class string Shelf-tileWrap-1T8aF
set base... | import requests
from bs4 import BeautifulSoup as BS
import json
import html
def beano_jokes():
data = []
req = requests.get('https://www.beano.com/categories/jokes')
soup = BS(req.content,'lxml')
layer1 = soup.find_all('div', {'class':'Shelf-tileWrap-1T8aF'})
base_url = 'https://www.beano.com'
f... | Python | zaydzuhri_stack_edu_python |
function get_field_name_from_lookup lookup
begin
return split lookup string __ at 0
end function | def get_field_name_from_lookup(lookup):
return lookup.split("__")[0] | Python | nomic_cornstack_python_v1 |
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
comment Sample dataset
set docs = list string The sky is blue. string Violets are red. string I love programming. string JavaScript is fun.Python is great!
set labels = list 0 0 1 1 1
comment Create the vectorizer
... | from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
# Sample dataset
docs = [
"The sky is blue.",
"Violets are red.",
"I love programming.",
"JavaScript is fun."
"Python is great!"
]
labels = [0, 0, 1, 1, 1]
# Create the vectorizer
vectorizer = CountVectoriz... | Python | jtatman_500k |
function build_model self filtered_model_params
begin
set model = call XGBRegressor max_depth=filtered_model_params at string max_depth learning_rate=filtered_model_params at string learning_rate n_estimators=filtered_model_params at string n_estimators verbosity=filtered_model_params at string verbosity booster=filter... | def build_model(self, filtered_model_params: Dict) -> XGBRegressor:
model = XGBRegressor(
max_depth=filtered_model_params["max_depth"],
learning_rate=filtered_model_params["learning_rate"],
n_estimators=filtered_model_params["n_estimators"],
verbosity=filtered_mod... | Python | nomic_cornstack_python_v1 |
function get_cleared_lines self
begin
return _cleared_lines
end function | def get_cleared_lines(self):
return self._cleared_lines | Python | nomic_cornstack_python_v1 |
import socket
import threading
set bind_ip = string 0.0.0.0
set bind_port = 9000
set server = call socket AF_INET SOCK_STREAM
call bind tuple bind_ip bind_port
call listen 5 | import socket
import threading
bind_ip = "0.0.0.0"
bind_port = 9000
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind((bind_ip, bind_port))
server.listen(5) | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import random
from arraystack import ArrayStack
from base import BaseSet
set w = 32
class ChainedHashTable extends BaseSet
begin
function __init__ self iterrable=list
begin
call _initialize
call add_all iterrable
end function
function _initialize self
begin
set d = 1
set t = call _alloc_ta... | # -*- coding: utf-8 -*-
import random
from arraystack import ArrayStack
from base import BaseSet
w = 32
class ChainedHashTable(BaseSet):
def __init__(self, iterrable=[]):
self._initialize()
self.add_all(iterrable)
def _initialize(self):
self.d = 1
self.t = self._alloc_table(1... | Python | zaydzuhri_stack_edu_python |
function getImageList chunkSize
begin
set imageList = list directory IMAGE_LOCATION
set imageList = sorted imageList key=lambda x -> integer call splitext x at 0
set firstImageNo = integer call splitext imageList at 0 at 0
set chunkList = list imageList at 0
set totalImageInCurrentPass = 1
set expectedImageNo = firstIm... | def getImageList(chunkSize):
imageList = os.listdir(IMAGE_LOCATION)
imageList = sorted(imageList, key=lambda x : int(os.path.splitext(x)[0]))
firstImageNo = int(os.path.splitext(imageList[0])[0])
chunkList = [imageList[0]]
totalImageInCurrentPass = 1
expectedImageNo = firstImageNo... | Python | nomic_cornstack_python_v1 |
function get_row_text self a_index
begin
if size listbox >= a_index
begin
set a_value = get listbox a_index
end
else
begin
set a_value = none
end
return a_value
end function | def get_row_text( self, a_index ):
if self.listbox.size() >= a_index:
a_value = self.listbox.get( a_index )
else:
a_value = None
return a_value | Python | nomic_cornstack_python_v1 |
function remove_node self data
begin
if __binarySTree is not none
begin
set node = search data at 0
if node is not none
begin
delete data
delete node
end
end
else
begin
print string Can't remove from an empty tree
end
end function | def remove_node(self, data):
if self.__binarySTree is not None:
node = self.__binarySTree.search(data)[0]
if node is not None:
self.__binarySTree.delete(data)
self.__repo.delete(node)
else:
print("Can't remove from an empty tree") | Python | nomic_cornstack_python_v1 |
import os
from twilio.rest import Client
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from pprint import pprint
import time
print string welcome to the medicine compliance program. This program helps you keep track of your medicine compliance by reminding you on your phone and gathe... | import os
from twilio.rest import Client
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from pprint import pprint
import time
print('welcome to the medicine compliance program. \
This program helps you keep track of your medicine \
compliance by reminding you on your phone and gather... | Python | zaydzuhri_stack_edu_python |
import numpy as np
set benimListem = list range 10
set benimListem = array list 1 2 3 4
set benimListem = reshape array range start=0 stop=25 step=1 5 5
print benimListem at 1 at 0 | import numpy as np
benimListem=list(range(10))
benimListem=np.array([1,2,3,4])
benimListem=np.arange(start=0,stop=25,step=1).reshape(5,5)
print(benimListem[1][0]) | Python | zaydzuhri_stack_edu_python |
set r = integer input string Enter radius:
set Diameter = 2 * r
print string Diameter = Diameter string units
set Circumference = 2 * 3.1416 * r
print string Circumference = Circumference string units
set area = 3.1416 * r ^ 2
print string area = area string units | r = int(input("Enter radius: "))
Diameter = (2*r)
print("Diameter = " , Diameter , "units")
Circumference = (2*3.1416*r)
print("Circumference = ", Circumference, "units")
area = 3.1416*(r**2)
print("area = ", area , "units")
| Python | zaydzuhri_stack_edu_python |
import cv2
import numpy as np
set count = 1
set imgMain = call imread string /home/omar/Desktop/Omar/ImageProcceing/HW1/ImagesForHW/Fig%d.tif % count
image show string sample imgMain
call imwrite string sample.tif imgMain
while count < 100
begin
set count = count + 1
set imgTemp = call imread string /home/omar/Desktop/... | import cv2
import numpy as np
count = 1
imgMain = cv2.imread('/home/omar/Desktop/Omar/ImageProcceing/HW1/ImagesForHW/Fig%d.tif'%(count))
cv2.imshow('sample',imgMain)
cv2.imwrite('sample.tif',imgMain)
while (count<100) :
count = count + 1
imgTemp = cv2.imread('/home/omar/Desktop/Omar/ImageProcceing/HW1/Images... | Python | zaydzuhri_stack_edu_python |
for file_path in files_to_process
begin
with open file_path string r as f
begin
print format string File {} ... file_path
set source = read f
exec source
end
end | for file_path in files_to_process:
with open(file_path, 'r') as f:
print('File {} ...'.format(file_path))
source = f.read()
exec(source) | Python | zaydzuhri_stack_edu_python |
function load_config self config_file
begin
with open config_file string r as config_file
begin
update _shared_state call encode_user_data call convert_to_attribute_dict call safe_load config_file
end
end function | def load_config(self, config_file: str) -> None:
with open(config_file, "r") as config_file:
self._shared_state.update(
encode_user_data(convert_to_attribute_dict(yaml.safe_load(config_file)))
) | Python | nomic_cornstack_python_v1 |
function calculation element symmetry experiment edge
begin
return call Calculation element symmetry experiment edge
end function | def calculation(element, symmetry, experiment, edge):
return Calculation(element, symmetry, experiment, edge) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
comment needed for floating point division in python2
from __future__ import division
from sunrise import sun
from datetime import date , datetime , time , timedelta
set ct_lookup = list 2000 2300 2600 2900 3300 3800 4300 4600 4700 4800 4900 5000 5050 5100 5200 5300 5400 5500 5500 5500
functio... | #!/usr/bin/python3
#
from __future__ import division # needed for floating point division in python2
from sunrise import sun
from datetime import date,datetime,time,timedelta
ct_lookup = [2000, 2300, 2600, 2900, 3300, 3800, 4300, 4600, 4700, 4800, 4900, 5000, 5050, 5100, 5200, 5300, 5400, 5500, 5500, 5500]
def colort... | Python | zaydzuhri_stack_edu_python |
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input , Output , ClientsideFunction
import dash_bootstrap_components as dbc
import plotly.express as px
import plotly.graph_objects as go
import numpy as np
import pandas as pd
import json
set tuple CENTER_L... | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, ClientsideFunction
import dash_bootstrap_components as dbc
import plotly.express as px
import plotly.graph_objects as go
import numpy as np
import pandas as pd
import json
CENTER_LAT, CENTER_... | Python | zaydzuhri_stack_edu_python |
function resetDirtyBlocks self
begin
raise call NotImplemented
end function | def resetDirtyBlocks(self):
raise (NotImplemented()) | Python | nomic_cornstack_python_v1 |
comment Stack as Linked List
class Node
begin
function __init__ self val=none
begin
set data = val
set next = none
end function
end class
class Stack
begin
function __init__ self root=none
begin
set root = none
end function
function push self item
begin
set item = call Node item
set next = root
set root = item
return r... | #Stack as Linked List
class Node:
def __init__(self,val=None):
self.data=val
self.next=None
class Stack:
def __init__(self,root=None):
self.root=None
def push(self,item):
item=Node(item)
item.next=self.root
self.root=item
return self.root
... | Python | zaydzuhri_stack_edu_python |
from django.shortcuts import render , redirect
from django.contrib import messages
from django.templatetags.static import static
comment Importing Google spreadsheets aka Airtable DB on steroids ...
from airtable import Airtable
comment Importing os to handle environment variables
import os
from pprint import pprint
co... | from django.shortcuts import render, redirect
from django.contrib import messages
from django.templatetags.static import static
# Importing Google spreadsheets aka Airtable DB on steroids ...
from airtable import Airtable
# Importing os to handle environment variables
import os
from pprint import pprint
# Airtable con... | Python | zaydzuhri_stack_edu_python |
function test_102_keystone_ldap_group_membership self
begin
set application_name = string keystone-ldap
set intended_cfg = call _get_ldap_config
set tuple current_cfg non_string_cfg = call config_current_separate_non_string_type_keys non_string_type_keys intended_cfg application_name
with call config_change dict non_s... | def test_102_keystone_ldap_group_membership(self):
application_name = 'keystone-ldap'
intended_cfg = self._get_ldap_config()
current_cfg, non_string_cfg = (
self.config_current_separate_non_string_type_keys(
self.non_string_type_keys, intended_cfg, application_name)
... | Python | nomic_cornstack_python_v1 |
from build_array import Solution
function test_solution
begin
set s = call Solution
set nums = list 0 2 1 5 3 4
set expected_result = list 0 1 2 4 5 3
set ret = call buildArray nums
assert ret == expected_result
set nums = list 5 0 1 2 3 4
set expected_result = list 4 5 0 1 2 3
set ret = call buildArray nums
assert ret... | from build_array import Solution
def test_solution():
s = Solution()
nums = [0, 2, 1, 5, 3, 4]
expected_result = [0,1,2,4,5,3]
ret = s.buildArray(nums)
assert ret == expected_result
nums = [5,0,1,2,3,4]
expected_result = [4,5,0,1,2,3]
ret = s.buildArray(nums)
assert ret == e... | Python | zaydzuhri_stack_edu_python |
function __init__ self
begin
call __init__ self
set _parameterNode = none
set postopProgrammingInstance = none
set FrameAutoDetect = false
end function | def __init__(self):
ScriptedLoadableModuleLogic.__init__(self)
self._parameterNode = None
self.postopProgrammingInstance = None
self.FrameAutoDetect = False | Python | nomic_cornstack_python_v1 |
string Your task is to construct a building which will be a pile of n cubes. The cube at the bottom will have a volume of n^3, the cube above will have volume of (n-1)^3 and so on until the top which will have a volume of 1^3. You are given the total volume m of the building. Being given m can you find the number n of ... | """Your task is to construct a building which will be a pile of n cubes.
The cube at the bottom will have a volume of n^3, the cube above will have volume of (n-1)^3
and so on until the top which will have a volume of 1^3.
You are given the total volume m of the building.
Being given m can you find the number n of ... | Python | zaydzuhri_stack_edu_python |
function property_group_id self
begin
return get pulumi self string property_group_id
end function | def property_group_id(self) -> pulumi.Input[str]:
return pulumi.get(self, "property_group_id") | Python | nomic_cornstack_python_v1 |
from selenium.webdriver import ActionChains
class BasePage extends object
begin
function __init__ self driver
begin
set driver = driver
end function
function find_element self *loc
begin
return call find_element *loc
end function
function type_text self text *loc
begin
call send_keys text
end function
function click se... | from selenium.webdriver import ActionChains
class BasePage(object):
def __init__(self, driver):
self.driver = driver
def find_element(self, *loc):
return self.driver.find_element(*loc)
def type_text(self, text, *loc):
self.find_element(*loc).send_keys(text)
def click(self, *lo... | Python | zaydzuhri_stack_edu_python |
comment Import pandas
import pandas as pd
comment Read the file into a DataFrame: df
set df = read csv string Py_cleaning_pivot_data.csv
print string ****** 01. data before pivoting *******
print df
print string ****** 02. data after pivoting *******
set df_pivot = call pivot index=string name columns=string treatment ... | # Import pandas
import pandas as pd
# Read the file into a DataFrame: df
df = pd.read_csv('Py_cleaning_pivot_data.csv')
print("****** 01. data before pivoting *******")
print(df)
print("****** 02. data after pivoting *******")
df_pivot = df.pivot(index='name',columns='treatment',values='result')
print(df_pivot)
| Python | zaydzuhri_stack_edu_python |
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