code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function rename_object_field self object_name field_name new_name
begin
set save_button = format npsp_lex_locators at string object_manager at string button string Save
call open_fields_and_relationships object_name
set search_button = format npsp_lex_locators at string object_manager at string input string globalQuick... | def rename_object_field(self,object_name,field_name,new_name):
save_button=npsp_lex_locators['object_manager']['button'].format("Save")
self.open_fields_and_relationships(object_name)
search_button = npsp_lex_locators['object_manager']['input'].format("globalQuickfind")
self.selenium.wait_until_page_contains_el... | Python | nomic_cornstack_python_v1 |
comment n, m, l = map(int, input().split())
comment list_n = list(map(int, input().split()))
comment n = input()
comment list = [input() for i in range(N)
comment list = [[i for i in range(N)] for _ in range(M)]
import sys
set input = readline
set N = integer input
set tuple D X = map int split input
set list_A = list ... | # n, m, l = map(int, input().split())
# list_n = list(map(int, input().split()))
# n = input()
# list = [input() for i in range(N)
# list = [[i for i in range(N)] for _ in range(M)]
import sys
input = sys.stdin.readline
N = int(input())
D, X = map(int, input().split())
list_A = [int(input()) for i in range(N)]
lis... | Python | zaydzuhri_stack_edu_python |
function get_team_id team_name
begin
string Returns the team ID associated with the team name that is passed in. Parameters ---------- team_name : str The team name whose ID we want. NOTE: Only pass in the team name (e.g. "Lakers"), not the city, or city and team name, or the team abbreviation. Returns ------- team_id ... | def get_team_id(team_name):
""" Returns the team ID associated with the team name that is passed in.
Parameters
----------
team_name : str
The team name whose ID we want. NOTE: Only pass in the team name
(e.g. "Lakers"), not the city, or city and team name, or the team
abbrevia... | Python | jtatman_500k |
comment !/usr/bin/python3
string Query to db with states and state id
from flask import Flask , render_template
from models import storage
set app = call Flask __name__
decorator call route string /states strict_slashes=false
function states
begin
string list the states
set val = string State
set dic = dict
set States... | #!/usr/bin/python3
""" Query to db with states and state id """
from flask import Flask, render_template
from models import storage
app = Flask(__name__)
@app.route('/states', strict_slashes=False)
def states():
"""list the states """
val = 'State'
dic = {}
States = storage.all('State').items()
fo... | Python | zaydzuhri_stack_edu_python |
function format_state self state
begin
return reshape np state at slice 0 : state_size : list 1 state_size
end function | def format_state(self, state):
return np.reshape(state[0:self.state_size], [1, self.state_size]) | Python | nomic_cornstack_python_v1 |
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
set sdf = read csv string all_string_results.csv
set pdf = read csv string all_pkl_results.csv
set sdf at string network = string String
set pdf at string network = string PheKnowLater
set df = concat list sdf pdf
comment subse... | import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
sdf = pd.read_csv('all_string_results.csv')
pdf = pd.read_csv('all_pkl_results.csv')
sdf['network'] = 'String'
pdf['network'] = 'PheKnowLater'
df = pd.concat([sdf,pdf])
# subset the columns
percent_df = df[['500 %','100 %'... | Python | zaydzuhri_stack_edu_python |
function setup_platform hass config add_devices_callback discovery_info=none
begin
call add_devices_callback list call LRFLight string Guest Bedroom Light false string R1D1 call LRFLight string Office Ceiling Light false string R2D1 call LRFLight string Office Wall Light false string R2D2 call LRFLight string Living Ro... | def setup_platform(hass, config, add_devices_callback, discovery_info=None):
add_devices_callback([
LRFLight("Guest Bedroom Light", False, 'R1D1'),
LRFLight("Office Ceiling Light", False, 'R2D1'),
LRFLight("Office Wall Light", False, 'R2D2'),
LRFLight("Living Room Wall Light", False,... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
comment -*- coding: utf-8 -*-
import unittest
import random
import CorrQ as corr
import q
class TestExtractor extends TestCase
begin
function test_exist self
begin
assert true has attribute q string premier call _ string You did not name the method as expected.
end function
function test_cases... | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import unittest
import random
import CorrQ as corr
import q
class TestExtractor(unittest.TestCase):
def test_exist(self):
self.assertTrue(hasattr(q, 'premier'), _("You did not name the method as expected."))
def test_cases(self):
corr_ans = corr.pr... | Python | zaydzuhri_stack_edu_python |
function IsDeleted self *args
begin
return call BRepAlgo_BooleanOperations_IsDeleted self *args
end function | def IsDeleted(self, *args):
return _BRepAlgo.BRepAlgo_BooleanOperations_IsDeleted(self, *args) | Python | nomic_cornstack_python_v1 |
function genStartScript self path
begin
call mkdir_p path
set startfile = open join path path string start.py string w
set queue = string
set comma = false
for tuple _ instpath instname in startfiles
begin
set relpath = call relpath instpath path
if comma
begin
set queue = queue + string ,
end
else
begin
set comma = t... | def genStartScript(self, path):
tools.mkdir_p(path)
startfile = open(os.path.join(path, "start.py"), 'w')
queue = ""
comma = False
for (_, instpath, instname) in self.startfiles:
relpath = os.path.relpath(instpath, path)
if comma:
queue += ... | Python | nomic_cornstack_python_v1 |
from flask import Flask
set app = call Flask __name__
decorator call route string /
comment Revisit decorators if you unclear of this syntax
function index
begin
return string <h1>Why so easy easy</h1>
end function
comment Revisit previous challenge if you're uncertain what this does https://code.nextacademy.com/lesson... | from flask import Flask
app = Flask(__name__)
@app.route("/") # Revisit decorators if you unclear of this syntax
def index():
return '<h1>Why so easy easy</h1>'
if __name__ == '__main__': # Revisit previous challenge if you're uncertain what this does https://code.nextacademy.com/lessons/name-main/424
app.run(... | Python | zaydzuhri_stack_edu_python |
function get_val_from_dict indict col
begin
set val = indict
for col_i in col
begin
if col_i != string
begin
if string # in col_i
begin
set tuple col_name col_id = split col_i string #
set col_id = integer col_id
if col_name in keys val and col_id < length val at col_name
begin
set val = val at col_name at integer col... | def get_val_from_dict(indict, col):
val = indict
for col_i in col:
if col_i != ' ':
if '#' in col_i:
col_name, col_id = col_i.split('#')
col_id = int(col_id)
if (col_name in val.keys()) and (col_id < len(val[col_name])):
v... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import os
import time
string Boiler plate code for python coding standard. created by - Ajay Singh Parmar dated - September 06, 2019
comment -----------------------------------------------------------#
comment Application Constants #
comment -------------------------------------------------... | #!/usr/bin/env python
import os
import time
"""
Boiler plate code for python coding standard.
created by - Ajay Singh Parmar
dated - September 06, 2019
"""
#-----------------------------------------------------------#
# Application Constants #
#-------------------... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
function read_data
begin
set data = read csv string /home/nixizi/Repository/Analyzing-tiger-mosquito-disease-spread/Data/flu.csv
return list comprehension d / 100 for d in list data at string Positive
end function
if __name__ == string __main__
begin
print call read_data
end | import pandas as pd
def read_data():
data = pd.read_csv("/home/nixizi/Repository/Analyzing-tiger-mosquito-disease-spread/Data/flu.csv")
return [d / 100 for d in list(data["Positive"])]
if __name__ == "__main__":
print(read_data()) | Python | zaydzuhri_stack_edu_python |
import argparse
from sys import exit
from brute import Brute
function define_arguemnts
begin
set parser = call ArgumentParser
call add_argument string target help=string Target IP address or hostname
call add_argument string -u string --userfile help=string Path to user file required=true
call add_argument string -p st... | import argparse
from sys import exit
from brute import Brute
def define_arguemnts():
parser = argparse.ArgumentParser()
parser.add_argument("target", help="Target IP address or hostname")
parser.add_argument("-u", "--userfile", help="Path to user file", required=True)
parser.add_argument("-p", "--pass... | Python | zaydzuhri_stack_edu_python |
function get_field_schema_validations field
begin
string Get the JSON Schema validation keywords for a ``field`` with an annotation of a Pydantic ``Schema`` with validation arguments.
set f_schema : Dict at tuple str Any = dict
if call lenient_issubclass type_ tuple str bytes
begin
for tuple attr_name t keyword in _st... | def get_field_schema_validations(field: Field) -> Dict[str, Any]:
"""
Get the JSON Schema validation keywords for a ``field`` with an annotation of
a Pydantic ``Schema`` with validation arguments.
"""
f_schema: Dict[str, Any] = {}
if lenient_issubclass(field.type_, (str, bytes)):
for att... | Python | jtatman_500k |
function get_waveforms self network station location channel starttime endtime quality=none minimumlength=none longestonly=none filename=none attach_response=false **kwargs
begin
if string dataselect not in services
begin
set msg = string The current client does not have a dataselect service.
raise call ValueError msg
... | def get_waveforms(self, network, station, location, channel, starttime,
endtime, quality=None, minimumlength=None,
longestonly=None, filename=None, attach_response=False,
**kwargs):
if "dataselect" not in self.services:
msg = "The cur... | Python | nomic_cornstack_python_v1 |
function users self
begin
string :class:`~zhmcclient.UserManager`: Access to the :term:`Users <User>` in this Console.
comment We do here some lazy loading.
if not _users
begin
set _users = call UserManager self
end
return _users
end function | def users(self):
"""
:class:`~zhmcclient.UserManager`: Access to the :term:`Users <User>` in
this Console.
"""
# We do here some lazy loading.
if not self._users:
self._users = UserManager(self)
return self._users | Python | jtatman_500k |
comment HW 13-2
comment Alec Barker
import matplotlib.pyplot as plt
import scipy.stats as stats
import glob
function get_temps file_path
begin
set file = open file_path
set all_temps = list
set year_temps = dict
set current_year = 1995
set current_year_temps = list
for line in file
begin
set line_data = split line s... | # HW 13-2
# Alec Barker
import matplotlib.pyplot as plt
import scipy.stats as stats
import glob
def get_temps(file_path):
file = open(file_path)
all_temps = []
year_temps = {}
current_year = 1995
current_year_temps = []
for line in file:
line_data = line.split(" ")
... | Python | zaydzuhri_stack_edu_python |
function get_kwargs d
begin
raise call NotImplementedError string subclass must implement get_kwargs()
end function | def get_kwargs(d):
raise NotImplementedError("subclass must implement get_kwargs()") | Python | nomic_cornstack_python_v1 |
function test_unet_verify_output_shape simple_unet_data
begin
set unet = call UNet
set output = call unet simple_unet_data
print string Input shape: shape
print string Output shape: shape
assert shape == shape
end function | def test_unet_verify_output_shape(simple_unet_data):
unet = models.UNet()
output = unet(simple_unet_data)
print("Input shape:", simple_unet_data.shape)
print("Output shape:", output.shape)
assert simple_unet_data.shape == output.shape | Python | nomic_cornstack_python_v1 |
function get_cardinality self variables
begin
string Returns cardinality of a given variable Parameters ---------- variables: list, array-like A list of variable names. Returns ------- dict: Dictionary of the form {variable: variable_cardinality} Examples -------- >>> from pgmpy.factors.discrete import DiscreteFactor >... | def get_cardinality(self, variables):
"""
Returns cardinality of a given variable
Parameters
----------
variables: list, array-like
A list of variable names.
Returns
-------
dict: Dictionary of the form {variable: variable_cardinality}
... | Python | jtatman_500k |
comment feedforward.py
comment author: Playinf
comment email: playinf@stu.xmu.edu.cn
import theano
from linear import linear
from utils import get_or_default
from config import config , option
from initializer import uniform_initializer , zeros_initializer
class feedforward_config extends config
begin
string * dtype: s... | # feedforward.py
# author: Playinf
# email: playinf@stu.xmu.edu.cn
import theano
from linear import linear
from utils import get_or_default
from config import config, option
from initializer import uniform_initializer, zeros_initializer
class feedforward_config(config):
"""
* dtype: str, default theano.conf... | Python | zaydzuhri_stack_edu_python |
comment Creating 3D visualizations with Mayavi.
from mayavi import mlab
comment Initialize Mayavi visualization.
comment Create 3D plots and surfaces. | # Creating 3D visualizations with Mayavi.
from mayavi import mlab
# Initialize Mayavi visualization.
# Create 3D plots and surfaces.
| Python | flytech_python_25k |
function status self
begin
return status_dict at upper call _get_property_ STATUS
end function | def status(self):
return status_dict[self._get_property_(self.STATUS).upper()] | Python | nomic_cornstack_python_v1 |
string json_data='{"Family":{"Brother1":{"name":"uday","sal":25000,"address":"vizag"},"Brother3":{"name":"chanti","sal":18000,"address":"rajahmundry"}}}'
import json
set json_dict = loads json_data
print json_dict
print type json_dict
print type json_data | '''json_data='{"Family":{"Brother1":{"name":"uday","sal":25000,"address":"vizag"},"Brother3":{"name":"chanti","sal":18000,"address":"rajahmundry"}}}'
'''
import json
json_dict=json.loads(json_data)
print(json_dict)
print(type(json_dict))
print(type(json_data))
| Python | zaydzuhri_stack_edu_python |
function GetVersions
begin
return call getVersions
end function | def GetVersions():
return salome_version.getVersions() | Python | nomic_cornstack_python_v1 |
function __del__ self
begin
call kill
end function | def __del__(self):
self._proc.kill() | Python | nomic_cornstack_python_v1 |
function _get self n
begin
comment Convert ranges to a list
if type n is range
begin
set n = list n
end
comment Check if a list passed (must be)
if type n is not list
begin
raise call NotImplementedError string n must be a list
end
comment Convert list to numpy array
set n = array n
comment Range check
if any n > lengt... | def _get(self, n: Union[range, list]) -> pd.DataFrame:
# Convert ranges to a list
if type(n) is range:
n = list(n)
# Check if a list passed (must be)
if type(n) is not list:
raise NotImplementedError('n must be a list')
# Convert list to numpy array
... | Python | nomic_cornstack_python_v1 |
function corrupt_value self in_str
begin
comment Empty string, no modification possible
if length in_str == 0
begin
return in_str
end
comment Get the possible phonetic modifications for this input string
set phonetic_changes = call __get_transformation__ in_str
set mod_str = in_str
comment Several modifications possibl... | def corrupt_value(self, in_str):
if (len(in_str) == 0): # Empty string, no modification possible
return in_str
# Get the possible phonetic modifications for this input string
#
phonetic_changes = self.__get_transformation__(in_str)
mod_str = in_str
if (',... | Python | nomic_cornstack_python_v1 |
from numpy import *
from numpy.linalg import *
set a = array eval input string digite:
set b = zeros call shape a at 0 dtype=int
set c = 1 | from numpy import*
from numpy.linalg import*
a = array(eval(input('digite: ')))
b= zeros(shape(a)[0], dtype=int)
c=1 | Python | zaydzuhri_stack_edu_python |
function setEdgeGeometry self coordinates radii start end
begin
call setEdgeProperty string geometry_start start
call setEdgeProperty string geometry_end end
call setGraphProperty string edge_geometry_x coordinates at tuple slice : : 0
call setGraphProperty string edge_geometry_y coordinates at tuple slice : : 1
... | def setEdgeGeometry(self, coordinates, radii, start, end):
self.setEdgeProperty('geometry_start', start);
self.setEdgeProperty('geometry_end', end);
self.setGraphProperty('edge_geometry_x', coordinates[:,0]);
self.setGraphProperty('edge_geometry_y', coordinates[:,1]);
self.setGraphProperty... | Python | nomic_cornstack_python_v1 |
comment from pdb import set_trace
comment set_trace()
comment quetion 4 and 1
function parser text tax
begin
set split_data = split text string ,
set quantity = integer split split_data at 1 string : at 1
set price = decimal split strip split_data at 2 string : at 1
set item = split strip string split_data at 0 string ... | # from pdb import set_trace
# set_trace()
#quetion 4 and 1
def parser(text,tax):
split_data = text.split(",")
quantity = int(split_data[1].split(":")[1])
price = float(split_data[2].strip().split(":")[1])
item = str(split_data[0]).strip().split(":")[1]
#print "The item is " + item
subtotal = pr... | Python | zaydzuhri_stack_edu_python |
function rank self
begin
return _history_dict at string rank
end function | def rank(self):
return self._history_dict['rank'] | Python | nomic_cornstack_python_v1 |
function h_pot psi
begin
return call conjugate psi * psi - 1
end function | def h_pot(psi):
return np.conjugate(psi)*psi-1 | Python | nomic_cornstack_python_v1 |
comment Desenvolvido por Daniel Schinaider de Oliveira
comment 01
set num1 = - 1
while num1 < 0 or num1 > 10
begin
set num1 = decimal input string Informe uma nota entre 0 e 10:
if num1 > 10 or num1 < 0
begin
print string Nota com valor inválido!
end
else
begin
print string Nota com valor de num1 string é válida!
end
e... | # Desenvolvido por Daniel Schinaider de Oliveira
#01
num1 = -1
while num1 < 0 or num1 > 10:
num1 = float(input("Informe uma nota entre 0 e 10: "))
if num1 > 10 or num1 < 0:
print("Nota com valor inválido!")
else:
print("Nota com valor de " , num1 , " é válida!")
| Python | zaydzuhri_stack_edu_python |
import random
set number = random integer 1 9
set chances = 0
print string number between 1-9
while chances < 5
begin
set guess = integer input string enter your guess
if guess == number
begin
print string you won
break
end
else
begin
print string you lost a chance try again guess
end
set chances = chances + 1
end | import random
number=random.randint(1,9)
chances=0
print("number between 1-9")
while(chances<5):
guess=int(input("enter your guess"))
if guess==number:
print("you won")
break
else:
print("you lost a chance try again",guess)
chances+=1
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
string Determine which log file(s) match the downlink received by VTGS and MGS
import binascii
import numpy
import struct
import os
comment Downlink files
set files = list directory string ../command
set downlinks = list comprehension join path string ../command f for f in files if string ... | #!/usr/bin/env python3
"""
Determine which log file(s) match the downlink received by VTGS and MGS
"""
import binascii
import numpy
import struct
import os
# Downlink files
files = os.listdir("../command")
downlinks = [os.path.join("../command", f) for f in files if "downlink" in f]
# Load all the packets we did rec... | Python | zaydzuhri_stack_edu_python |
function fuse_missing_perc name perc
begin
if perc == 0
begin
return name
end
return string { name } ( { perc } )
end function | def fuse_missing_perc(name: str, perc: float) -> str:
if perc == 0:
return name
return f"{name} ({perc:.1%})" | Python | nomic_cornstack_python_v1 |
function find_bad_values a
begin
set opened_brackets = string [{(
set closed_brackets = string ]})
set brackets_needed_to_find = list
set bad_brackets = list
set i = 0
while i < length a
begin
comment если скобка открывающая, то мы хотим найти для закрывающую
comment поэтому складываем скобки, которые хотим найти, в ... | def find_bad_values(a):
opened_brackets = '[{('
closed_brackets = ']})'
brackets_needed_to_find = []
bad_brackets = []
i = 0
while i < len(a):
# если скобка открывающая, то мы хотим найти для закрывающую
# поэтому складываем скобки, которые хотим найти, в список
... | Python | zaydzuhri_stack_edu_python |
function eval_act self state action *_ **__
begin
call pull_function actor string actor
return call safe_call actor state action
end function | def eval_act(self,
state: Dict[str, Any],
action: Dict[str, Any],
*_, **__):
self.pull_function(self.actor, "actor")
return safe_call(self.actor, state, action) | Python | nomic_cornstack_python_v1 |
function StreamSelector host port
begin
return true
end function | def StreamSelector(host, port):
return True | Python | nomic_cornstack_python_v1 |
from sys import stdin
set tuple n m = map int split input
set pocketmons = dict
for i in range n
begin
set s = right strip read line stdin
set pocketmons at string i + 1 = s
set pocketmons at s = i + 1
end
for i in range m
begin
set q = right strip read line stdin
print pocketmons at q
end | from sys import stdin
n, m = map(int, input().split())
pocketmons = {}
for i in range(n):
s = stdin.readline().rstrip()
pocketmons[str(i+1)] = s
pocketmons[s] = i+1
for i in range(m):
q = stdin.readline().rstrip()
print(pocketmons[q])
| Python | zaydzuhri_stack_edu_python |
comment генерация списков (делали циклом через append)
set list_again = list comprehension i for i in list 1 2 3 4
print list_again
set text = list comprehension title word for word in split string на улице жара
print text
comment создать новый словарь, который монжо итерировать
comment если просто IF
comment добавляем... | #генерация списков (делали циклом через append)
list_again = [i for i in [1, 2, 3, 4]]
print(list_again)
text = [word.title() for word in 'на улице жара'.split()]
print(text)
#создать новый словарь, который монжо итерировать
#если просто IF
new = [i for i in range(1, 5) if i%2 == 0] #добавляем четные чис... | Python | zaydzuhri_stack_edu_python |
function _request self local_ae remote_ae mp pcdl users_pdu=none
begin
set max_pdu_length = mp
set max_pdu_length_par = call MaximumLengthSubItem mp
set user_information = if expression users_pdu then list max_pdu_length_par + users_pdu else list max_pdu_length_par
set username = get remote_ae string username
set passw... | def _request(self, local_ae, remote_ae, mp, pcdl, users_pdu=None):
self.max_pdu_length = mp
max_pdu_length_par = userdataitems.MaximumLengthSubItem(mp)
user_information = [max_pdu_length_par] + users_pdu \
if users_pdu else [max_pdu_length_par]
username = remote_ae.get('user... | Python | nomic_cornstack_python_v1 |
function cuento2 update _
begin
set query = callback_query
call answer
set keyboard = list list call InlineKeyboardButton string 🔙 Volver callback_data=string FOUR call InlineKeyboardButton string 👋 Salir callback_data=string FIVE
set reply_markup = call InlineKeyboardMarkup keyboard
call edit_message_text text=strin... | def cuento2(update: Update, _: CallbackContext) -> int:
query = update.callback_query
query.answer()
keyboard = [
[
InlineKeyboardButton("\U0001F519 Volver", callback_data=str(FOUR)),
InlineKeyboardButton("\U0001F44B Salir", callback_data=str(FIVE)),
]
]
reply... | Python | nomic_cornstack_python_v1 |
from drive import *
from entry import *
from directory import *
class Volume
begin
comment [line[i:i+n] for i in range(0, len(line), n)] <= string to array seperated by n characters
comment ''.join(list) <= list to string with '' between elements
set EMPTY_BITMAP = list string - * 128
function __init__ self name
begin
... | from drive import *
from entry import *
from directory import *
class Volume:
# [line[i:i+n] for i in range(0, len(line), n)] <= string to array seperated by n characters
# ''.join(list) <= list to string with '' between elements
EMPTY_BITMAP = ['-'] * 128
def __init__(self, name):
# Initialize block 0 with r... | Python | zaydzuhri_stack_edu_python |
comment ============================================#
comment CitadelNerdBot #
comment Written by Red X 500/RedX1000/CrownMauler #
comment #
comment #
comment #
comment #
comment ============================================#
import discord
import os
import requests
import json
import urllib
import sqlalchemy
import sql... | #============================================#
# CitadelNerdBot #
# Written by Red X 500/RedX1000/CrownMauler #
# #
# #
# #
# ... | Python | zaydzuhri_stack_edu_python |
function from_dict session d
begin
return call Port chambre=find Chambre session get d string roomNumber switch=find Switch session get d string switchID numero=get d string portNumber
end function | def from_dict(session, d):
return Port(
chambre=Chambre.find(session, d.get("roomNumber")),
switch=Switch.find(session, d.get("switchID")),
numero=d.get("portNumber"),
) | Python | nomic_cornstack_python_v1 |
string You are given a map in form of a two-dimensional integer grid where 1 represents land and 0 represents water. Grid cells are connected horizontally/vertically (not diagonally). The grid is completely surrounded by water, and there is exactly one island (i.e., one or more connected land cells). The island doesn't... | """
You are given a map in form of a two-dimensional integer grid where 1
represents land and 0 represents water. Grid cells are connected
horizontally/vertically (not diagonally). The grid is completely surrounded
by water, and there is exactly one island (i.e., one or more connected land
cells). The island doesn't ha... | Python | zaydzuhri_stack_edu_python |
function cylinder_volume self height
begin
return area * height
end function | def cylinder_volume(self, height):
return self.area * height | Python | nomic_cornstack_python_v1 |
function parseargs p
begin
call set_defaults func=func
set description = string delay for a specified amount of time
set epilog = string Pause for NUMBER seconds. SUFFIX may be 's' for + string seconds (the default), 'm' for minutes, 'h' for + string hours or 'd' for days. Unlike most implementations + string that requ... | def parseargs(p):
p.set_defaults(func=func)
p.description = "delay for a specified amount of time"
p.epilog = (
"Pause for NUMBER seconds. SUFFIX may be 's' for "
+ "seconds (the default), 'm' for minutes, 'h' for "
+ "hours or 'd' for days. Unlike most implementations "
+ "t... | Python | nomic_cornstack_python_v1 |
comment Automating cloud resource management with Boto3.
import boto3
comment Initialize Boto3 client.
comment Create, update, and delete AWS resources programmatically. | # Automating cloud resource management with Boto3.
import boto3
# Initialize Boto3 client.
# Create, update, and delete AWS resources programmatically.
| Python | flytech_python_25k |
function on_enter_idle self
begin
call advertise state_change state
call _cancel_deferred
if length _del_pm_me and _delete_me_deferred is none
begin
set _delete_me_deferred = call callLater 0 delete_me
end
else
if length _add_pm_me and _add_me_deferred is none
begin
set _add_me_deferred = call callLater 0 add_me
end
el... | def on_enter_idle(self):
self.advertise(OpenOmciEventType.state_change, self.state)
self._cancel_deferred()
if len(self._del_pm_me) and self._delete_me_deferred is None:
self._delete_me_deferred = reactor.callLater(0, self.delete_me)
elif len(self._add_pm_me) and self._add_... | Python | nomic_cornstack_python_v1 |
function display_help head_txt=string help:
begin
set txt = string This calendar is interactive. Here some tips: - Use mouse or keyboard to interact with the calendar. - Hit bottom arrows to cycle through months. - Hit a day to create a linked event. (A day with attached event will appear yellow.) - Create multiple eve... | def display_help(head_txt="help:"):
txt = f"""This calendar is interactive. Here some tips:
- Use mouse or keyboard to interact with the calendar.
- Hit bottom arrows to cycle through months.
- Hit a day to create a linked event.
(A day with attached event will appear yellow.)
- Create multiple event type and... | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
import numpy as np
from tensorflow import keras
comment ///////////////////////////////////////////////////////////////////////////////////////////////////
comment Regression model in small data
comment /////////////////////////////////////////////////////////////////////////////////////////////... | import tensorflow as tf
import numpy as np
from tensorflow import keras
# ///////////////////////////////////////////////////////////////////////////////////////////////////
# Regression model in small data
# ///////////////////////////////////////////////////////////////////////////////////////////////////
#... | Python | zaydzuhri_stack_edu_python |
function normalize_face_landmarks face_landmarks
begin
set face_landmarks_norm = zeros shape
for tuple i lm in enumerate face_landmarks
begin
set face_landmarks_norm at i = lm - lm at nose_center_idx
end
set std_x = standard deviation np reshape face_landmarks_norm at tuple slice : : slice : : 0 tuple - 1
set std... | def normalize_face_landmarks(face_landmarks):
face_landmarks_norm = np.zeros(face_landmarks.shape)
for (i, lm) in enumerate(face_landmarks):
face_landmarks_norm[i] = lm - lm[nose_center_idx]
std_x = np.std(face_landmarks_norm[:,:,0].reshape((-1,)))
std_y = np.std(face_landmarks_norm[:,:,1].reshape((-... | Python | nomic_cornstack_python_v1 |
import sys
import psycopg2 | import sys
import psycopg2
| Python | zaydzuhri_stack_edu_python |
comment [DP-Sequence-Action, Classic]
comment https://leetcode.com/problems/coin-path/
comment 656. Coin Path
comment History:
comment Google
comment 1.
comment Jun 23, 2020
comment Given an array A (index starts at 1) consisting of N integers: A1, A2, ..., AN and an integer
comment B. The integer B denotes that from a... | # [DP-Sequence-Action, Classic]
# https://leetcode.com/problems/coin-path/
# 656. Coin Path
# History:
# Google
# 1.
# Jun 23, 2020
# Given an array A (index starts at 1) consisting of N integers: A1, A2, ..., AN and an integer
# B. The integer B denotes that from any place (suppose the index is i) in the array A,
# ... | Python | zaydzuhri_stack_edu_python |
comment whenevr we face a higher value we change or swap and move in that and if faced again we change again
function merge_linked_list a b
begin
if a and b
begin
if val > val
begin
set tuple a b = tuple b a
set next = call merge_linked_list next b
end
end
return a or b
end function | # whenevr we face a higher value we change or swap and move in that and if faced again we change again
def merge_linked_list(a,b):
if a and b:
if a.val > b.val:
a,b = b,a
a.next = merge_linked_list(a.next,b)
return a or b | Python | zaydzuhri_stack_edu_python |
import heapq
import math
import unittest
from typing import List
from utils import stringToListNode , prettyPrintLinkedList , ListNode
function get_min_node first_nodes
begin
set min_val = inf
set index = - 1
for i in range length first_nodes
begin
if val < min_val
begin
set index = i
set min_val = val
end
end
return i... | import heapq
import math
import unittest
from typing import List
from utils import stringToListNode, prettyPrintLinkedList, ListNode
def get_min_node(first_nodes):
min_val = math.inf
index = -1
for i in range(len(first_nodes)):
if first_nodes[i].val < min_val:
index = i
m... | Python | zaydzuhri_stack_edu_python |
string :Authors: - Wilker Aziz
import unittest
from legacy.sparse import SparseCategorical
class SparseCategoricalTestCase extends TestCase
begin
function test_zero self
begin
set c1 = call SparseCategorical 100
assert equal 100 call support_size
assert equal 0 call n_represented
assert equal 0 sum
end function
functio... | """
:Authors: - Wilker Aziz
"""
import unittest
from legacy.sparse import SparseCategorical
class SparseCategoricalTestCase(unittest.TestCase):
def test_zero(self):
c1 = SparseCategorical(100)
self.assertEqual(100, c1.support_size())
self.assertEqual(0, c1.n_represented())
self.... | Python | zaydzuhri_stack_edu_python |
function nr_cases self institute_id=none
begin
string Return the number of cases This function will change when we migrate to 3.7.1 Args: collaborator(str): Institute id Returns: nr_cases(int)
set query = dict
if institute_id
begin
set query at string collaborators = institute_id
end
debug format string Fetch all case... | def nr_cases(self, institute_id=None):
"""Return the number of cases
This function will change when we migrate to 3.7.1
Args:
collaborator(str): Institute id
Returns:
nr_cases(int)
"""
query = {}
if institute_id:
query['coll... | Python | jtatman_500k |
function get_bounding_box current_building_contour
begin
set tuple x y w h = call boundingRect current_building_contour at 0
return tuple x y w h
end function | def get_bounding_box(current_building_contour):
x, y, w, h, = cv.boundingRect(current_building_contour[0])
return x, y, w, h | Python | nomic_cornstack_python_v1 |
from collections import Counter
set card_value = dictionary generator expression tuple string i i for i in range 2 10
set card_value at string T = 10
set card_value at string J = 11
set card_value at string Q = 12
set card_value at string K = 13
set card_value at string A = 14
class Card
begin
function __init__ self ca... | from collections import Counter
card_value = dict((str(i), i) for i in range(2, 10))
card_value['T'] = 10
card_value['J'] = 11
card_value['Q'] = 12
card_value['K'] = 13
card_value['A'] = 14
class Card:
def __init__(self, card):
self.value = card_value[card[0]]
self.suit = card[1]
self.car... | Python | zaydzuhri_stack_edu_python |
if alien_color == string green
begin
print string You just earned 5 points
end
else
begin
print string You just earned 10 points
end | if alien_color == 'green':
print("You just earned 5 points")
else:
print("You just earned 10 points")
| Python | zaydzuhri_stack_edu_python |
function choose_action self state epsilon_greedy=false
begin
set chosen_action = none
if epsilon_greedy
begin
if call rand <= epsilon
begin
print string random actions
comment choose random action
set chosen_action = random choice actions
end
else
begin
print string argmax
comment find the action with greatest Q value
... | def choose_action(self, state, epsilon_greedy=False):
chosen_action = None
if epsilon_greedy:
if np.random.rand() <= self.epsilon:
print('random actions')
# choose random action
chosen_action = random.choice(self.actions)
else:
... | Python | nomic_cornstack_python_v1 |
function get self key
begin
set idx = key % size
if mp at idx
begin
for i in range length mp at idx
begin
if mp at idx at i at 0 == key
begin
return mp at idx at i at 1
end
end
return - 1
end
else
begin
return - 1
end
end function | def get(self, key: int) -> int:
idx = key % self.size
if self.mp[idx]:
for i in range(len(self.mp[idx])):
if self.mp[idx][i][0] == key:
return self.mp[idx][i][1]
return -1
else:
return -1 | Python | nomic_cornstack_python_v1 |
if num > 0
begin
print string 大于0
end
else
if num == 0
begin
print string {"msg":"账户被禁, 可联系在线客服 处理","code":1,"obj":null,"datas":null,"attributes":null,"ext1":"/user/home"}
end
else
begin
print string 负数
end | if num > 0:
print("大于0")
elif num == 0:
print('{"msg":"账户被禁, 可联系在线客服 处理","code":1,"obj":null,"datas":null,"attributes":null,"ext1":"/user/home"}')
else:
print("负数") | Python | zaydzuhri_stack_edu_python |
set email = strip input string Enter Your Email:
set username = email at slice : index email string @ :
set domain = email at slice index email string @ + 1 : :
set slicing = string Your user name is ' { username } ' and your domain is ' { domain } '
print slicing | email = input("Enter Your Email: ").strip()
username = email[:email.index("@")]
domain = email[email.index("@")+1:]
slicing = (f"Your user name is '{username}' and your domain is '{domain}'")
print(slicing)
| Python | zaydzuhri_stack_edu_python |
import ssl
import urllib.request
function fetch_content url
begin
comment Create an SSL context to configure the TLS version and certificate validation
set context = call create_default_context
set minimum_version = TLSv1_3
comment Set the certificate verification mode to require a trusted CA
set verify_mode = CERT_REQ... | import ssl
import urllib.request
def fetch_content(url):
# Create an SSL context to configure the TLS version and certificate validation
context = ssl.create_default_context()
context.minimum_version = ssl.TLSVersion.TLSv1_3
# Set the certificate verification mode to require a trusted CA
conte... | Python | jtatman_500k |
import math
import array
function binomial S0 u d n
begin
set stkval = list
for i in range n + 1
begin
append stkval list
if i == 0
begin
append stkval at i S0
continue
end
for j in range 0 2 ^ i - 1
begin
append stkval at i stkval at i - 1 at j * u
append stkval at i stkval at i - 1 at j * d
end
end
return stkval
end... | import math
import array
def binomial(S0,u,d,n):
stkval=[]
for i in range(n+1):
stkval.append([])
if i==0:
stkval[i].append(S0)
continue
for j in range(0,2**(i-1)):
stkval[i].append(stkval[i-1][j]*u)
stkval[i].append(stkval[i-1][j]*d)
return stkval
K=2
u=2.0
d=0.5
S0=4.0
k=4
q=binomial(S0,u,d... | Python | zaydzuhri_stack_edu_python |
function update_data self data
begin
set rebuild = false
comment This method needs to substitute some defaultdicts for the normal
comment dictionaries that come back from the server.
comment Metacontact information
comment if data['metacontacts']
set mc_dict = get data string metacontacts dict
if not is instance mc_dic... | def update_data(self, data):
rebuild = False
# This method needs to substitute some defaultdicts for the normal
# dictionaries that come back from the server.
# Metacontact information
#if data['metacontacts']
mc_dict = data.get('metacontacts', {})
if... | Python | nomic_cornstack_python_v1 |
function calculate_feature_vectorizer_output_shapes operator
begin
call check_input_and_output_numbers operator input_count_range=list 1 none output_count_range=1
call check_input_and_output_types operator good_input_types=list FloatTensorType Int64TensorType FloatType Int64Type
if any generator expression length shape... | def calculate_feature_vectorizer_output_shapes(operator):
check_input_and_output_numbers(
operator, input_count_range=[1, None], output_count_range=1
)
check_input_and_output_types(
operator,
good_input_types=[FloatTensorType, Int64TensorType, FloatType, Int64Type],
)
if any... | Python | nomic_cornstack_python_v1 |
function convert_to_plane_basis points basis origo
begin
comment pick cartesian part of basis
set base_x = basis at 0 at slice : - 1 :
set base_y = basis at 1 at slice : - 1 :
comment normalize to unit lenght
set unit_basis_vecs = tuple base_x / square root dot base_x base_x base_y / square root dot base_y base_y
s... | def convert_to_plane_basis(points, basis, origo):
# pick cartesian part of basis
base_x = (basis[0])[:-1]
base_y = (basis[1])[:-1]
# normalize to unit lenght
unit_basis_vecs = (
base_x/math.sqrt(np.dot(base_x, base_x)),
base_y/math.sqrt(np.dot(base_y, base_y))
)
plane_coords ... | Python | nomic_cornstack_python_v1 |
function parse_all sources parser=none
begin
set use_parser = if expression parser then parser else _parse_auto
set source_list = if expression is instance sources list then sources else list sources
for source in source_list
begin
yield call use_parser source
end
end function | def parse_all(sources: typing.List[str], parser: typing.Callable[[str], typing.Dict] = None) -> typing.Iterator:
use_parser = parser if parser else _parse_auto
source_list = sources if isinstance(sources, list) else [sources]
for source in source_list:
yield use_parser(source) | Python | nomic_cornstack_python_v1 |
comment iterator
set a = list 2 3 4
set p = iterate a
comment 2
next p
comment 3
next p
comment 4
next p
try
begin
comment raises a StopIteration exception
next p
end
except StopIteration
begin
pass
end
comment -------------------------------------------------------
set a = list 2 3 4
set p = iterate a
comment list ite... | # iterator
a = [2, 3, 4]
p = iter(a)
next(p) # 2
next(p) # 3
next(p) # 4
try:
next(p) # raises a StopIteration exception
except StopIteration:
pass
# -------------------------------------------------------
a = [2, 3, 4]
p = iter(a)
type(p) ... | Python | zaydzuhri_stack_edu_python |
function organize_students students
begin
set student_list = split students string ;
set student_info = list
for student in student_list
begin
set student_data = split student string ,
set student_dict = dict string name student_data at 0 ; string age integer student_data at 1 ; string grade integer student_data at 2 ... | def organize_students(students):
student_list = students.split(";")
student_info = []
for student in student_list:
student_data = student.split(",")
student_dict = {
"name": student_data[0],
"age": int(student_data[1]),
"grade": int(student_data[2]),
... | Python | jtatman_500k |
function relevant_eval_metrics self draw_smooth gt_smooth g_smooth_thred=1000
begin
comment Now let's compute the relevant locations
set draw_set = call tolist
print draw_set
set gt_set = call tolist
print gt_set
set shared_labels = intersection set draw_set set gt_set
print shared_labels
comment Find the centers of ea... | def relevant_eval_metrics(self, draw_smooth, gt_smooth, g_smooth_thred=1000):
#Now let's compute the relevant locations
draw_set = np.unique(draw_smooth).tolist()
print(draw_set)
gt_set = np.unique(gt_smooth).tolist()
print(gt_set)
shared_labels = set(draw_set).interse... | Python | nomic_cornstack_python_v1 |
function _mst_decode self head_tag_representation child_tag_representation attended_arcs mask
begin
set tuple normalized_arc_logits normalized_pairwise_head_logits lengths = call _attend_and_normalize head_tag_representation child_tag_representation attended_arcs mask
comment Shape (batch_size, num_head_tags, sequence_... | def _mst_decode(
self,
head_tag_representation: torch.Tensor,
child_tag_representation: torch.Tensor,
attended_arcs: torch.Tensor,
mask: torch.Tensor,
) -> Tuple[torch.Tensor, torch.Tensor]:
normalized_arc_logits, normalized_pairwise_head_logits, lengths = self._atte... | Python | nomic_cornstack_python_v1 |
function getSuccessorRight self delNode
begin
set successorParent = delNode
set successor = delNode
set current = right
comment go to right child
while current != none
begin
comment until no more
comment left children,
set successorParent = successor
set successor = current
set current = left
end
comment go to left chi... | def getSuccessorRight(self, delNode):
successorParent = delNode
successor = delNode
current = delNode.right
# go to right child
while current != None:
# until no more
# left children,
successorParent = successor
successor = current
curre... | Python | nomic_cornstack_python_v1 |
string Version : v1.4 History : 1.0 - 07/31/2015 - Initial Version 1.1 - 11/24/2015 - Moved to one version logic 1.2 - 11/30/2015 - Add get_url_health function 1.3 - 12/23/2015 - change get_url_health 1.4 - 01/05/2016 - Set timeout in requests.head
import requests , socket
function get_domain_details in_domain_name
beg... | """
Version : v1.4
History :
1.0 - 07/31/2015 - Initial Version
1.1 - 11/24/2015 - Moved to one version logic
1.2 - 11/30/2015 - Add get_url_health function
1.3 - 12/23/2015 - change get_url_health
1.4 - 01/05/2016 - Set timeo... | Python | zaydzuhri_stack_edu_python |
function is_retry self method status_code has_retry_after=false
begin
string Is this method/status code retryable? (Based on whitelists and control variables such as the number of total retries to allow, whether to respect the Retry-After header, whether this header is present, and whether the returned status code is o... | def is_retry(self, method, status_code, has_retry_after=False):
""" Is this method/status code retryable? (Based on whitelists and control
variables such as the number of total retries to allow, whether to
respect the Retry-After header, whether this header is present, and
whether the re... | Python | jtatman_500k |
function run_general_policy policy env continuous_actions=true render=true scaler=none
begin
set training_info = call TrainingInfo
set tuple episode_length episode_reward = tuple 0 0
set state = call reset
for t in range max_episode_steps
begin
set state = if expression scaler is not none then call scale_state scaler s... | def run_general_policy(
policy: torch.nn.Module,
env: gym.Env,
continuous_actions: bool = True,
render: bool = True,
scaler=None) -> Tuple[float, int]:
training_info = TrainingInfo()
episode_length, episode_reward = 0, 0
state = env.reset()
for t in range(env.sp... | Python | nomic_cornstack_python_v1 |
import math
import pickle
from sklearn import neighbors
import face_recognition
import cv2
class FaceRecognizer
begin
function __init__ self model_path distance_threshold=0.4
begin
with open model_path string rb as f
begin
set knn_clf = load pickle f
end
set distance_threshold = distance_threshold
end function
function... | import math
import pickle
from sklearn import neighbors
import face_recognition
import cv2
class FaceRecognizer:
def __init__(self, model_path, distance_threshold=0.4):
with open(model_path, 'rb') as f:
self.knn_clf = pickle.load(f)
self.distance_threshold = distance_threshold
de... | Python | zaydzuhri_stack_edu_python |
function printFibo n
begin
set first = 0
set second = 1
print first
print second
for i in range 2 n
begin
set next = first + second
print next
set first = second
set second = next
end
end function
comment Test
call printFibo 5 | def printFibo(n):
first = 0
second = 1
print(first)
print(second)
for i in range(2, n):
next = first + second
print(next)
first = second
second = next
#Test
printFibo(5) | Python | iamtarun_python_18k_alpaca |
function reverse_array arr
begin
set n = length arr
end function
for i in range n // 2
begin
set tuple arr at i arr at n - i - 1 = tuple arr at n - i - 1 arr at i
end
return arr | def reverse_array(arr):
n = len(arr)
for i in range(n // 2):
arr[i], arr[n - i - 1] = arr[n - i - 1], arr[i]
return arr
| Python | flytech_python_25k |
function pushs self value
begin
call push value
end function | def pushs(self, value):
self.data_stack.push(value) | Python | nomic_cornstack_python_v1 |
function _create_algorithms self
begin
if scenario == string original_1 or scenario == string known_1
begin
set algorithms = list call PALPOMDP Xtrain numClasses oracles at 0 list 0.0 Bc
end
else
comment PALOriginalScenario1(self.Xtrain, self.numClasses, self.oracles[1], [0.0, self.Bc]),
comment PALBaselineRandom(self.... | def _create_algorithms(self):
if self.scenario == 'original_1' or self.scenario == 'known_1':
self.algorithms = [PALPOMDP(self.Xtrain, self.numClasses, self.oracles[0], [0.0, self.Bc]),
#PALOriginalScenario1(self.Xtrain, self.numClasses, self.oracles[1], [0.0, self.Bc... | Python | nomic_cornstack_python_v1 |
function __iter__ self
begin
return iterate _vars
end function | def __iter__(self):
return iter(self._vars) | Python | nomic_cornstack_python_v1 |
function run_iso_forest_test args
begin
set tuple test_file outdir = args
set start = time
set n_estimators = n_estimators
set max_samples = string auto
set contamination = contamination
comment default is 1.0 (use all features)
set max_features = 1.0
set bootstrap = false
set tuple outfile_path1 outfile_path2 = call g... | def run_iso_forest_test(args):
test_file, outdir = args
start = time.time()
n_estimators = config.iso_forest.n_estimators
max_samples = 'auto'
contamination = config.iso_forest.contamination
max_features = 1.0 # default is 1.0 (use all features)
bootstrap = False
outfile_path1, outfile_... | Python | nomic_cornstack_python_v1 |
function loadCSPAD2x2CalibParsDefault self
begin
set defpars = dict
set defpars at string center = array list list 198.0 198.0 list 95.0 308.0 list 0.0 0.0
set defpars at string tilt = zeros 2 dtype=float32
set defpars at string beam_vector = zeros 3 dtype=float32
set defpars at string common_mode = array list 1 100 3... | def loadCSPAD2x2CalibParsDefault (self) :
self.defpars = {}
self.defpars['center'] = np.array( [[198., 198.],
[ 95., 308.],
[ 0., 0.]])
self.defpars['tilt'] = np.zeros((2), dtype=np.float32)
... | Python | nomic_cornstack_python_v1 |
string Script that plots framewise displacement(fd), RMS signal derivative (DVARS), and meanSignal per subject per run and indicates potential outliers (motion- induced artifacts) based on commonly used threshold of 0.2-0.5mm for FD and 0.3-0.5% for DVARS. 0.5 was used for DVARS and 0.5 was used for FD.
import sys
impo... | """
Script that plots framewise displacement(fd), RMS signal derivative (DVARS),
and meanSignal per subject per run and indicates potential outliers (motion-
induced artifacts) based on commonly used threshold of 0.2-0.5mm for FD and
0.3-0.5% for DVARS. 0.5 was used for DVARS and 0.5 was used for FD.
"""
import sys
... | Python | zaydzuhri_stack_edu_python |
function is_row_echelon self
begin
return call _is_row_echelon false
end function | def is_row_echelon(self):
return self._is_row_echelon(False) | Python | nomic_cornstack_python_v1 |
function cubic_trajectory_planning q0 qf qd0 qdf m=100
begin
set n = shape at 0
comment Polynomial Parameters
set a0 = copy np q0
set a1 = copy np qd0
set a2 = 3 * qf - q0 - 2 * qd0 - qdf
set a3 = - 2 * qf - q0 + qd0 + qdf
set timesteps = linear space 0 1 num=m
set q = zeros tuple n m
set qd = zeros tuple n m
set qdd =... | def cubic_trajectory_planning(q0, qf, qd0, qdf, m = 100):
n = q0.shape[0]
# Polynomial Parameters
a0 = np.copy(q0)
a1 = np.copy(qd0)
a2 = 3 * (qf - q0) - 2 * qd0 - qdf
a3 = -2 * (qf - q0) + qd0 + qdf
timesteps = np.linspace(0, 1, num = m)
q = np.zeros((n, m))
qd = np.zeros((n, m)... | Python | nomic_cornstack_python_v1 |
function get_min a b
begin
string return min number among a and b
return if expression a < b then a else b
end function
function get_min_without_arguments
begin
string raise TypeError exception with message
raise call TypeError string No arguments.
end function
function get_min_with_one_argument x
begin
string return t... | def get_min(a, b):
"""
return min number among a and b
"""
return a if a < b else b
def get_min_without_arguments():
"""
raise TypeError exception with message
"""
raise TypeError("No arguments.")
def get_min_with_one_argument(x):
"""
return that value
"""
r... | Python | zaydzuhri_stack_edu_python |
function add_item self item
begin
call check_param_not_none item string item
if path in items
begin
set total_size = total_size - size
end
update items dict encode path string utf-8 item
set total_size = total_size + size
end function | def add_item(self, item):
check_param_not_none(item, "item")
if item.path in self.items:
self.total_size -= self.items.get(item.path).size
self.items.update({item.path.encode('utf-8') : item})
self.total_size += item.size | Python | nomic_cornstack_python_v1 |
function handle_starttag self tag attrs
begin
for apt in attrs
begin
if apt at 0 == string href
begin
if starts with apt at 1 STANDINGS
begin
set tindx = find apt at 1 string & + 1
set parts = apt at 1 at slice tindx : :
if string _ in parts
begin
if find parts league >= 0
begin
append result parts
end
end
end
end
en... | def handle_starttag(self, tag, attrs):
for apt in attrs:
if apt[0] == 'href':
if apt[1].startswith(STANDINGS):
tindx = apt[1].find('&') + 1
parts = apt[1][tindx:]
if '_' in parts:
if parts.find(self.l... | Python | nomic_cornstack_python_v1 |
function uniq_stable elems
begin
set unique = list
set unique_set = set
for nn in elems
begin
if nn not in unique_set
begin
append unique nn
add unique_set nn
end
end
return unique
end function | def uniq_stable(elems):
unique = []
unique_set = set()
for nn in elems:
if nn not in unique_set:
unique.append(nn)
unique_set.add(nn)
return unique | Python | nomic_cornstack_python_v1 |
function from_user self id **kwargs
begin
return call _get_msgs string messages/from_user/%d.json % id keyword kwargs
end function | def from_user(self, id, **kwargs):
return self._get_msgs('messages/from_user/%d.json' % id, **kwargs) | Python | nomic_cornstack_python_v1 |
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