code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function _parse_args
begin
string Parse and return command line arguments.
set parser = call ArgumentParser description=__doc__ formatter_class=_CliFormatter
call add_argument string -v string --verbose action=string store_true help=string Enable verbose output.
set fb_group = call add_argument_group string FogBugz arg... | def _parse_args():
"""Parse and return command line arguments."""
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=_CliFormatter)
parser.add_argument('-v', '--verbose', action='store_true',
help='Enable verbose output.')
fb_group = parser.ad... | Python | jtatman_500k |
function _b_py self eSolution source_list
begin
return call _b_pyPrimary eSolution source_list + call _b_pySecondary eSolution source_list
end function | def _b_py(self, eSolution, source_list):
return self._b_pyPrimary(eSolution, source_list) + self._b_pySecondary(
eSolution, source_list
) | Python | nomic_cornstack_python_v1 |
from zonnescherm import *
from tkinter import *
from tkinter import _setit
from tkinter import Canvas
class GUI
begin
function __init__ self
begin
comment Variables
set __zonneschermen = list
set __selected_zonnescherm = none
set __update_CB = none
set __update_milliseconds = 1000
comment The root(TK)
set __root = cal... | from zonnescherm import *
from tkinter import *
from tkinter import _setit
from tkinter import Canvas
class GUI:
def __init__(self):
# Variables
self.__zonneschermen = []
self.__selected_zonnescherm = None
self.__update_CB = None
self.__update_milliseconds = 1000
... | Python | zaydzuhri_stack_edu_python |
comment Assignment 6
comment Problem 1b
comment Hoazhe Wang
import pandas as pd
import csv
import pylab
import numpy as np
import matplotlib.pyplot as plt
set labeledfile = read csv string labeled_data.csv
set plotdata2 = labeledfile at list string # zipcode string num_incidents
set index2 = set index plotdata2 string ... | #Assignment 6
#Problem 1b
#Hoazhe Wang
import pandas as pd
import csv
import pylab
import numpy as np
import matplotlib.pyplot as plt
labeledfile = pd.read_csv('labeled_data.csv')
plotdata2 = labeledfile[['# zipcode','num_incidents']]
index2 = plotdata2.set_index('# zipcode')
second_plot = index2.plot(legend = True, ... | Python | zaydzuhri_stack_edu_python |
from ant_updated import *
from maze_classes import *
from algorithms_updated import *
import simpy
import math
import numpy as np
from tower_of_hanoi import *
import matplotlib.pyplot as plt
set size = 2
set maze = call mirror_hanoi size
set nest_name = string up + string -top * size
set food_name = string down + strin... | from ant_updated import *
from maze_classes import *
from algorithms_updated import *
import simpy
import math
import numpy as np
from tower_of_hanoi import *
import matplotlib.pyplot as plt
size = 2
maze = mirror_hanoi(size)
nest_name = 'up'+'-top'*size
food_name = 'down'+'-bottom'*size
nest = maze.get_intersection(... | Python | zaydzuhri_stack_edu_python |
function __enter__ self
begin
if not _content
begin
comment type: IO[str]
with call YamlFile _path as file
begin
append _content call YamlFromStream file
end
end
return self
end function | def __enter__(self) -> Yaml:
if not self._content:
with YamlFile(self._path) as file: # type: IO[str]
self._content.append(YamlFromStream(file))
return self | Python | nomic_cornstack_python_v1 |
function removeBrackets s
begin
set newS = list
set brackLevel = 0
for c in s
begin
if c == string (
begin
set brackLevel = brackLevel + 1
continue
end
if c == string )
begin
set brackLevel = brackLevel - 1
continue
end
if brackLevel == 0
begin
append newS c
end
end
return strip join string newS
end function | def removeBrackets(s):
newS = []
brackLevel = 0
for c in s:
if c=="(":
brackLevel+=1
continue
if c==")":
brackLevel-=1
continue
if brackLevel==0:
newS.append(c)
return "".join(newS).strip() | Python | nomic_cornstack_python_v1 |
function reverseString s
begin
return s at slice : : - 1
end function
set s = string Hello
print call reverseString s | def reverseString(s):
return s[::-1]
s = "Hello"
print(reverseString(s))
| Python | flytech_python_25k |
function _relief_square_inner_refresh self add_instruction top_color bottom_color wid_x wid_y wid_width wid_height
begin
set lines = integer relief_square_inner_lines
set offset = integer relief_square_inner_offset
for line in range 1 lines + 1
begin
set alpha = 0.9 - line / lines * 0.81
set line = line + offset
set li... | def _relief_square_inner_refresh(self, add_instruction: Callable,
top_color: ColorRGB, bottom_color: ColorRGB,
wid_x: float, wid_y: float, wid_width: float, wid_height: float):
lines = int(self.relief_square_inner_lines)
offset = ... | Python | nomic_cornstack_python_v1 |
function get_random_wilson_coeffs_start self
begin
if fit_wc_function is none
begin
comment no Wilson coefficients present
return none
end
else
if start_wc_priors is none
begin
if fit_wc_priors is none
begin
raise call ValueError string Starting values can only be generated if either fit_wc_priors or start_wc_priors is... | def get_random_wilson_coeffs_start(self):
if self.fit_wc_function is None:
# no Wilson coefficients present
return None
elif self.start_wc_priors is None:
if self.fit_wc_priors is None:
raise ValueError("Starting values can only be generated if"
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
import math
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from python_inferno.inferno import sigmoid
from python_inferno.plotting import use_style
if __name__ == string __main__
begin
call use_style
set factors = list - 1 0.5 3
se... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import math
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from python_inferno.inferno import sigmoid
from python_inferno.plotting import use_style
if __name__ == "__main__":
use_style()
factors = [-1, 0.5, 3]
centres = [0]
... | Python | zaydzuhri_stack_edu_python |
function predict self observation state=none mask=none deterministic=false
begin
comment TODO (GH/1): add support for RNN policies
comment if state is None:
comment state = self.initial_state
comment if mask is None:
comment mask = [False for _ in range(self.n_envs)]
set vectorized_env = false
if is instance observatio... | def predict(
self,
observation: Union[np.ndarray, Dict[str, np.ndarray]],
state: Optional[np.ndarray] = None,
mask: Optional[np.ndarray] = None,
deterministic: bool = False,
) -> Tuple[np.ndarray, Optional[np.ndarray]]:
# TODO (GH/1): add support for RNN policies
... | Python | nomic_cornstack_python_v1 |
function fit_to_focus x y model focus_point
begin
from scipy.optimize import curve_fit
set tuple x1 y1 = focus_point
set init_vals = list 0 + focus_point
set tuple v c = curve fit model x + list x1 y + list y1 p0=init_vals
return v
end function | def fit_to_focus(x, y, model, focus_point):
from scipy.optimize import curve_fit
x1, y1 = focus_point
init_vals = [0] + focus_point
v, c = curve_fit(model,
x + [x1], y + [y1],
p0=init_vals)
return v | Python | nomic_cornstack_python_v1 |
function balance_check_existing_oldBF_new_view request
begin
comment Check connected
if not call has_permission request settings at string affaire_numero_edition
begin
raise call HTTPForbidden
end
set affaire_id = params at string affaire_id
set oldBF = loads params at string oldBF
comment Control existance of each old... | def balance_check_existing_oldBF_new_view(request):
# Check connected
if not Utils.has_permission(request, request.registry.settings['affaire_numero_edition']):
raise exc.HTTPForbidden()
affaire_id = request.params['affaire_id']
oldBF = json.loads(request.params['oldBF'])
# Control exi... | Python | nomic_cornstack_python_v1 |
function regDebug cls word1 word2 word3 word4
begin
set regs = zeros REG_PACKET_LEN dtype=string <u1
set regs at 0 = 2
set regs at 1 = 1
set regs at slice 13 : 17 : = call littleEndian word1
set regs at slice 17 : 21 : = call littleEndian word2
set regs at slice 21 : 25 : = call littleEndian word3
set regs at slice ... | def regDebug(cls, word1, word2, word3, word4):
regs = np.zeros(cls.REG_PACKET_LEN, dtype='<u1')
regs[0] = 2
regs[1] = 1
regs[13:17] = littleEndian(word1)
regs[17:21] = littleEndian(word2)
regs[21:25] = littleEndian(word3)
regs[25:29] = littleEndian(word4)
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
string _Couch_ A simple API to CouchDB that sends HTTP requests to the REST interface. Warning: There is a known issue when posting large (~800KB) JSON documents from OSX through a reverse proxy. If a timeout is set then the client will stop sending data and the request will not complete. T... | #!/usr/bin/env python
"""
_Couch_
A simple API to CouchDB that sends HTTP requests to the REST interface.
Warning: There is a known issue when posting large (~800KB) JSON documents
from OSX through a reverse proxy. If a timeout is set then the client will
stop sending data and the request will not complete. This issu... | Python | zaydzuhri_stack_edu_python |
function crop cnt *images
begin
assert images is not none
comment Checking that all are in fact images
if not all generator expression is instance item ndarray for item in images
begin
raise call TypeError string "*images" must be nust be of type: "numpy.ndarray"
end
comment Returning the cropped images
set tuple refer... | def crop(cnt, *images):
assert images is not None
#Checking that all are in fact images
if not all(isinstance(item, np.ndarray) for item in images):
raise TypeError('"*images" must be nust be of type: "numpy.ndarray"')
#Returning the cropped images
reference_y, reference_x = images[0].sha... | Python | nomic_cornstack_python_v1 |
function do_bounding_boxes_intersect a b
begin
return x <= x and x >= x and y <= y and y >= y
end function | def do_bounding_boxes_intersect(a: tuple[Point, Point], b: tuple[Point, Point]) -> bool:
return (
a[0].x <= b[1].x and a[1].x >= b[0].x and a[0].y <= b[1].y and a[1].y >= b[0].y
) | Python | nomic_cornstack_python_v1 |
from django.shortcuts import render
from django.http import HttpResponse
from django.contrib.admin.views.decorators import staff_member_required
import datetime , calendar
from decimal import *
from models import teacher , Class , student , timetable , attendence , theorysubject , lab
function home request
begin
set n ... | from django.shortcuts import render
from django.http import HttpResponse
from django.contrib.admin.views.decorators import staff_member_required
import datetime , calendar
from decimal import *
from .models import teacher , Class , student , timetable , attendence , theorysubject , lab
def home(request):
n = datet... | Python | zaydzuhri_stack_edu_python |
function potencia c
begin
if length c == 0
begin
return list list
end
set r = call potencia c at slice : - 1 :
return r + list comprehension s + list c at - 1 for s in r
end function | def potencia(c):
if len(c) == 0:
return [[]]
r = potencia(c[:-1])
return r + [s + [c[-1]] for s in r] | Python | nomic_cornstack_python_v1 |
from math import pow
import requests
set prev = json get requests string http://95.217.177.249/casino/playLcg?id=228&bet=1&number=1 at string realNumber
set curr = json get requests string http://95.217.177.249/casino/playLcg?id=228&bet=1&number=1 at string realNumber
set nextn = json get requests string http://95.217.... | from math import pow
import requests
prev = requests.get("http://95.217.177.249/casino/playLcg?id=228&bet=1&number=1").json()["realNumber"]
curr = requests.get("http://95.217.177.249/casino/playLcg?id=228&bet=1&number=1").json()["realNumber"]
nextn = requests.get("http://95.217.177.249/casino/playLcg?id=228&bet=1&numb... | Python | zaydzuhri_stack_edu_python |
function build_encoder_bi tparams options
begin
comment word embedding (source)
set embedding = call tensor3 string embedding dtype=string float32
set embeddingr = embedding at slice : : - 1
set x_mask = call matrix string x_mask dtype=string float32
set xr_mask = x_mask at slice : : - 1
comment encoder
set proj = ... | def build_encoder_bi(tparams, options):
# word embedding (source)
embedding = tensor.tensor3('embedding', dtype='float32')
embeddingr = embedding[::-1]
x_mask = tensor.matrix('x_mask', dtype='float32')
xr_mask = x_mask[::-1]
# encoder
proj = get_layer(options['encoder'])[1](tparams, embedding, options,
... | Python | nomic_cornstack_python_v1 |
from rs_converter import *
from lexicon_converter import *
import sys
comment This top level script obtains two optional arguments:
comment a) input file name - the file must be a well formed lisp version of ONTO lexicon
comment residing in the same directory with this script
comment IF the file name is missing then 'l... | from rs_converter import *
from lexicon_converter import *
import sys
## This top level script obtains two optional arguments:
## a) input file name - the file must be a well formed lisp version of ONTO lexicon
## residing in the same directory with this script
## IF the file name is missing then 'lexicon.... | Python | zaydzuhri_stack_edu_python |
import random
import unionfind
import argparse
import numpy as np
from matplotlib import pyplot as plt
import matplotlib.cm as cm
import HelperFunctions as hf
comment given length and width, generate maze using kruskal's minimum spanning tree algorithm
function generate_maze length width
begin
comment generate edges
se... | import random
import unionfind
import argparse
import numpy as np
from matplotlib import pyplot as plt
import matplotlib.cm as cm
import HelperFunctions as hf
#given length and width, generate maze using kruskal's minimum spanning tree algorithm
def generate_maze(length,width):
#generate edges
edges=hf.gene... | Python | zaydzuhri_stack_edu_python |
function __setitem__ self key val
begin
set call self at key = val
end function | def __setitem__(self, key, val):
self()[key] = val | Python | nomic_cornstack_python_v1 |
function box
begin
for i in range 0 length word
begin
print word at slice 0 : length word :
end
end function
call box | def box():
for i in range(0, len(word)):
print(word[0:len(word)])
box()
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
string using MySQLdb
import MySQLdb
import re
comment Open database connection
set db = call connect string localhost string root string root string rcp_base
comment prepare a cursor object using cursor() method
set cursor = call cursor
comment Drop table if it already exist using execute() met... | #!/usr/bin/python
''' using MySQLdb '''
import MySQLdb
import re
# Open database connection
db = MySQLdb.connect("localhost","root","root","rcp_base" )
# prepare a cursor object using cursor() method
cursor = db.cursor()
# Drop table if it already exist using execute() method.
cursor.execute("DROP TABLE IF EXISTS C... | Python | zaydzuhri_stack_edu_python |
function init_params
begin
set p = dict
comment 2040
set p at string endYear = 1940
comment 1990
set p at string statsCollectFrom = 1900
set p at string implementPoliciesFromYear = 1920
set p at string numRepeats = 4
return p
end function | def init_params():
p = {}
p['endYear'] = 1940 # 2040
p['statsCollectFrom'] = 1900 # 1990
p['implementPoliciesFromYear'] = 1920
p['numRepeats'] = 4
return p | Python | nomic_cornstack_python_v1 |
async function cookies ctx user whispers=none
begin
try
begin
if whispers is none
begin
await call send string * { mention } passes { mention } a 🍪*
end
else
begin
await call send string * { mention } passes { mention } a 🍪 and whispers { whispers } *
end
end
except Exception as e
begin
comment if error
await call se... | async def cookies(ctx, user: discord.Member, *, whispers=None):
try:
if whispers is None:
await ctx.send(f"*{ctx.author.mention} passes {user.mention} a 🍪*")
else:
await ctx.send(f"*{ctx.author.mention} passes {user.mention} a 🍪 and whispers {whispers}*")
except Exception as e:
await ctx.send(f'There wa... | Python | nomic_cornstack_python_v1 |
set n = integer input
set xs = list map int split input
set max_x = max xs
set bad = sum xs
set good = n * max_x - bad
print max_x + max 0 1 + bad - good // n | n = int(input())
xs = list(map(int, input().split()))
max_x = max(xs)
bad = sum(xs)
good = n * max_x - bad
print(max_x + max(0, 1 + (bad - good) // n))
| Python | zaydzuhri_stack_edu_python |
function countdown n
begin
while n > 0
begin
yield n
set n = n - 1
end
end function
set c = call countdown 3 | def countdown(n):
while n > 0:
yield n
n -= 1
c = countdown(3)
| Python | zaydzuhri_stack_edu_python |
function __init__ self normal_vector=none constant_term=none
begin
set dimension = 2
if not normal_vector
begin
set all_zeros = list string 0 * dimension
set normal_vector = call Vector all_zeros
end
set normal_vector = normal_vector
if not constant_term
begin
set constant_term = call Decimal string 0
end
set constant_... | def __init__(self, normal_vector=None, constant_term=None):
self.dimension = 2
if not normal_vector:
all_zeros = ['0']*self.dimension
normal_vector = Vector(all_zeros)
self.normal_vector = normal_vector
if not constant_term:
constant_term = Decimal('... | Python | nomic_cornstack_python_v1 |
function preserve_patron_loan self data **kwargs
begin
set record = get context string record
return call preserve_patron_loan data record
end function | def preserve_patron_loan(self, data, **kwargs):
record = self.context.get("record")
return preserve_patron_loan(data, record) | Python | nomic_cornstack_python_v1 |
function get_iterator x n forced=false
begin
if forced
begin
return list x * n
end
if not is instance x Iterable or is instance x str
begin
set x = list x * n
end
comment Note: np.array, list are always iterable
if length x != n
begin
set x = list x * n
end
return x
end function | def get_iterator(x, n, forced=False):
if forced:
return [x] * n
if not isinstance(x, collections.Iterable) or isinstance(x, str):
x = [x] * n
# Note: np.array, list are always iterable
if len(x) != n:
x = [x] * n
return x | Python | nomic_cornstack_python_v1 |
function name self
begin
warn string attribute 'name' has been deprecated from provider version 1.129.0 and it will be remove in the future version. Please use the new attribute 'certificate_name' instead. DeprecationWarning
warn string name is deprecated: attribute 'name' has been deprecated from provider version 1.12... | def name(self) -> Optional[pulumi.Input[str]]:
warnings.warn("""attribute 'name' has been deprecated from provider version 1.129.0 and it will be remove in the future version. Please use the new attribute 'certificate_name' instead.""", DeprecationWarning)
pulumi.log.warn("""name is deprecated: attribut... | Python | nomic_cornstack_python_v1 |
from functools import wraps
function hello_decorator function
begin
decorator wraps function
function decorator
begin
set result = call function
return string this is + result + string decorated
end function
return decorator
end function
decorator hello_decorator
function hello_world
begin
return string Hello World
end... | from functools import wraps
def hello_decorator(function):
@wraps(function)
def decorator():
result = function()
return 'this is ' + result + ' decorated'
return decorator
@hello_decorator
def hello_world():
return 'Hello World'
print(hello_world()) | Python | zaydzuhri_stack_edu_python |
comment package to solve gyrokinetic equations when Apar = 0
import numpy as np
from scipy.special import i0e , i1e
import scipy.optimize
from gk_solver.util import real_imag , list2complex , zp
comment -------------------------------------
comment Terms ABCDE in the dispersion tensor
comment --------------------------... | # package to solve gyrokinetic equations when Apar = 0
import numpy as np
from scipy.special import i0e, i1e
import scipy.optimize
from gk_solver.util import real_imag, list2complex, zp
#-------------------------------------
# Terms ABCDE in the dispersion tensor
#-------------------------------------
def A(ti_te, mi... | Python | zaydzuhri_stack_edu_python |
function _get_triggers settings
begin
try
begin
set triggers_list = settings at string triggers
end
except KeyError as e
begin
raise call SettingNotFound string %s setting not found % e
end
set triggers = list
for trigger_el in triggers_list
begin
if is instance trigger_el dict
begin
for trigger_name in trigger_el
begi... | def _get_triggers(settings):
try:
triggers_list = settings["triggers"]
except KeyError as e:
raise SettingNotFound("%s setting not found" % e)
triggers = list()
for trigger_el in triggers_list:
if isinstance(trigger_el, dict):
for tri... | Python | nomic_cornstack_python_v1 |
import tabula
import camelot
from pdfrw import PdfReader
import pandas as pd
import xlsxwriter
import re
comment Importing PDF
set file = string Data\DBS_P3Q42020.pdf
comment Get number of pages
set num_pages = length pages
comment Function to clean camelot table_c
function split_newline df_c
begin
for k in range lengt... | import tabula
import camelot
from pdfrw import PdfReader
import pandas as pd
import xlsxwriter
import re
## Importing PDF
file = "Data\DBS_P3Q42020.pdf"
## Get number of pages
num_pages = len(PdfReader(file).pages)
## Function to clean camelot table_c
def split_newline(df_c):
for k in range(len(df... | Python | zaydzuhri_stack_edu_python |
import divination
import gallows
print string ***********************************************************
print string ***********************************************************
print string ***********************************************************
print string Choose your game
print string (1) Gallows (2) Divinatio... | import divination
import gallows
print("***********************************************************")
print("***********************************************************")
print("***********************************************************")
print ("Choose your game")
print("(1) Gallows (2) Divination")
print("***... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
string This is the "text_indentation" module. The "text-indentation" module provides a simple function text_indentation() that prints a text with 2 new lines after each characters: ., ? and :.
function text_indentation text
begin
string Print a text with 2 new lines after each characters: ., ?... | #!/usr/bin/python3
"""
This is the "text_indentation" module.
The "text-indentation" module provides a simple function text_indentation()
that prints a text with 2 new lines after each characters: ., ? and :.
"""
def text_indentation(text):
"""Print a text with 2 new lines after each characters: ., ? and :.
... | Python | zaydzuhri_stack_edu_python |
import asyncio
import websockets
import pygame
import time
import json
comment Starts the game, finds the joysticks on the system. Automatically includes pygame.joystick.init()
call init
comment print(pygame.joystick.Joystick(0).get_axis(0))
if call get_init
begin
print string Joystick object initialized
end
comment py... | import asyncio
import websockets
import pygame
import time
import json
pygame.init() #Starts the game, finds the joysticks on the system. Automatically includes pygame.joystick.init()
#print(pygame.joystick.Joystick(0).get_axis(0))
if pygame.joystick.get_init():
print("Joystick object initialized")
#pygame.joys... | Python | zaydzuhri_stack_edu_python |
function rescale_features feature variable
begin
set SCALER = call read_pickle parent / string data/SCALER.p
if variable == string inputs
begin
set feature = feature * SCALER at string input_stds + SCALER at string input_means
end
else
if variable == string output
begin
set feature = feature * SCALER at string output_s... | def rescale_features(feature: np.ndarray, variable: str) -> np.ndarray:
SCALER = pd.read_pickle(Path(__file__).absolute().parent.parent / ("data/SCALER.p"))
if variable == 'inputs':
feature = feature * SCALER["input_stds"] + SCALER["input_means"]
elif variable == 'output':
feature ... | Python | nomic_cornstack_python_v1 |
from scipy.stats import rv_continuous
import numpy as np
class marchenko_pastur extends rv_continuous
begin
function _pdf self x Q var
begin
set lambda_min = var * 1 + 1 / Q - 2 * square root 1 / Q
set lambda_max = var * 1 + 1 / Q + 2 * square root 1 / Q
return where x > lambda_max ? x < lambda_min 0 Q / 2 * pi * var *... | from scipy.stats import rv_continuous
import numpy as np
class marchenko_pastur(rv_continuous):
def _pdf(self, x, Q, var):
lambda_min = var * (1 + 1/Q - 2 * np.sqrt(1/Q))
lambda_max = var * (1 + 1/Q + 2 * np.sqrt(1/Q))
return np.where((x > lambda_max) | (x < lambda_min), 0, Q/(2*np.pi*... | Python | zaydzuhri_stack_edu_python |
import cv2 , os , sys
import numpy as np
import matplotlib.pyplot as plt
from fractions import Fraction
from decimal import Decimal
from PIL import Image
comment from untitled8 import calc
function calc x
begin
set y = x ^ 2
comment y = 9.1*x-1
comment y = 9.1*x**4 + 2.15*x**3 + 7.1*x**2 + 7*x - 4 # 2542.png
return y
e... | import cv2, os, sys
import numpy as np
import matplotlib.pyplot as plt
from fractions import Fraction
from decimal import Decimal
from PIL import Image
# from untitled8 import calc
def calc(x):
y = x**2
# y = 9.1*x-1
# y = 9.1*x**4 + 2.15*x**3 + 7.1*x**2 + 7*x - 4 # 2542.png
return y
def process_coord... | Python | zaydzuhri_stack_edu_python |
function avgsize_c self
begin
return _avgsize_c
end function | def avgsize_c(self):
return self._avgsize_c | Python | nomic_cornstack_python_v1 |
function evalExpressionStr expression_str context
begin
return flatten context call ExprTree expression_str
end function | def evalExpressionStr(expression_str, context):
return context.flatten(classad.ExprTree(expression_str)) | Python | nomic_cornstack_python_v1 |
async function on_message self message
begin
if not bot
begin
set guild_info = call get_guild_info guild
set warned_users = guild_info at string warnedUsers
if call contains_profanity content
begin
await delete
await call send string { mention } that is not allowed!
try
begin
set found_user = false
for user in warned_u... | async def on_message(self, message: discord.Message):
if not message.author.bot:
guild_info = server_setup.get_guild_info(message.guild)
warned_users = guild_info["warnedUsers"]
if profanity.contains_profanity(message.content):
await message.delete()
... | Python | nomic_cornstack_python_v1 |
function compress self data_list
begin
set files_to_upload = list
set files_to_delete = list
if data_list
begin
set files_to_upload = data_list at 0
set files_to_delete = data_list at 1
end
set data = tuple files_to_upload files_to_delete
call validate data
return data
end function | def compress(self, data_list):
files_to_upload = []
files_to_delete = []
if data_list:
files_to_upload = data_list[0]
files_to_delete = data_list[1]
data = (files_to_upload, files_to_delete)
self.validate(data)
return data | Python | nomic_cornstack_python_v1 |
function check h w
begin
set count = 0
for tuple dy dx in dydx
begin
if 0 <= h + dy < H and 0 <= w + dx < W and S at h + dy at w + dx == string #
begin
set count = count + 1
end
end
return count
end function
for h in range H
begin
for w in range W
begin
if S at h at w == string .
begin
set S at h at w = string call che... | def check(h, w):
count = 0
for dy, dx in dydx:
if 0 <= h + dy < H and 0 <= w + dx < W and S[h+dy][w+dx] == '#':
count += 1
return count
for h in range(H):
for w in range(W):
if S[h][w] == '.':
S[h][w] = str(check(h, w))
res = "".join(S[h])
print(res) | Python | zaydzuhri_stack_edu_python |
comment just a parser demo for demostrating templite class.
import re
set e1 = string abc.edf.ghi
print split e1 string .
set buffered = list string haha string hehe
if length buffered == 1
begin
print string append_result(%s) % buffered at 0
end
else
if length buffered > 1
begin
print string extend_result([%s]) % join... | # just a parser demo for demostrating templite class.
import re
e1 = "abc.edf.ghi"
print(e1.split("."))
buffered = ["haha", "hehe"]
if len(buffered) == 1:
print("append_result(%s)" % buffered[0])
elif len(buffered) > 1:
print("extend_result([%s])" % ", ".join(buffered))
# re对templite的解析
text = '''
<h... | Python | zaydzuhri_stack_edu_python |
function get_from_snap_id self
begin
return from_snapshot_id
end function | def get_from_snap_id(self):
return self.from_snapshot_id | Python | nomic_cornstack_python_v1 |
function check_cached self file_name n
begin
try
begin
with open string files/ + file_name + string .txt string r as f
begin
set f_ = read lines f
comment no data in the file
if length f_ == 0
begin
return false
end
return decimal f_ at 0 + n * 60 < time
end
end
except FileNotFoundError
begin
with open string files/ + ... | def check_cached(self, file_name, n):
try:
with open('files/' + file_name + '.txt', 'r') as f:
f_ = f.readlines()
if len(f_) == 0: # no data in the file
return False
return float(f_[0]) + (n * 60) < time.time()
except FileN... | Python | nomic_cornstack_python_v1 |
function velocity_embedding adata basis=none vkey=string velocity density=1 scale=1 X=none V=none color=none use_raw=none layer=none color_map=none colorbar=false palette=none size=none alpha=0.2 perc=none sort_order=true groups=none components=none projection=string 2d legend_loc=string none legend_fontsize=none legen... | def velocity_embedding(adata, basis=None, vkey='velocity', density=1, scale=1, X=None, V=None, color=None, use_raw=None,
layer=None, color_map=None, colorbar=False, palette=None, size=None, alpha=.2, perc=None,
sort_order=True, groups=None, components=None, projection='2d',... | Python | nomic_cornstack_python_v1 |
from collections import deque , defaultdict , Counter
class Solution
begin
function countSubTrees self n edges labels
begin
set tree = default dictionary list
for tuple u v in edges
begin
append tree at u v
append tree at v u
end
set output = list comprehension 0 for _ in range n
function dfs i parent
begin
set counter... | from collections import deque, defaultdict, Counter
class Solution:
def countSubTrees(self, n, edges, labels):
tree = defaultdict(list)
for u, v in edges:
tree[u].append(v)
tree[v].append(u)
output = [0 for _ in range(n)]
def dfs(i, parent):
counte... | Python | zaydzuhri_stack_edu_python |
comment WAP read the data from the file and display all the words which are starts witj
comment i or I
set f = open string input.txt string r
set data = read f
close f
set words = split data
comment print(words)
for word in words
begin
comment print(word, type(word))
if word at 0 == string i or word at 0 == string I
be... | # WAP read the data from the file and display all the words which are starts witj
# i or I
f = open('input.txt', 'r')
data = f.read()
f.close()
words = data.split()
#print(words)
for word in words:
#print(word, type(word))
if word[0] == 'i' or word[0] == 'I':
print(word)
| Python | zaydzuhri_stack_edu_python |
comment encoding:utf-8
string Created on 2017年8月10日 题目：输出指定格式的日期。 知识链接： 1、re.finditer-正则取字符串中的数字(正则切片)： a = re.finditer(r'\d+', str) print a.group() 2、time.localtime()、time.strftime('格式', time.localtime()) @author: wangtaoyuan
import datetime
import time
import re
set time = string format time time string %Y, %m, %d, %... | # encoding:utf-8
'''
Created on 2017年8月10日
题目：输出指定格式的日期。
知识链接：
1、re.finditer-正则取字符串中的数字(正则切片)：
a = re.finditer(r'\d+', str)
print a.group()
2、time.localtime()、time.strftime('格式', time.localtime())
@author: wangtaoyuan
'''
import datetime
import time
import re
time = time.strftime('%Y, %m, %d, %H... | Python | zaydzuhri_stack_edu_python |
function name self
begin
return get pulumi self string name
end function | def name(self) -> str:
return pulumi.get(self, "name") | Python | nomic_cornstack_python_v1 |
comment import youtube_dl for download the vedio
comment import tkinter for GUI
from __future__ import unicode_literals
import youtube_dl
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
comment fun for download
function DownloadVideo
begin
comment get the type of vedio(mp4/mp3)
set choice =... | #import youtube_dl for download the vedio
# import tkinter for GUI
from __future__ import unicode_literals
import youtube_dl
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
#fun for download
def DownloadVideo():
#get the type of vedio(mp4/mp3)
choice = ytdchoices.get()
#... | Python | zaydzuhri_stack_edu_python |
function _hash blob
begin
if blob is not none
begin
set m = md5
update m blob
return hex digest m
end
end function | def _hash(blob):
if blob is not None:
m = hashlib.md5()
m.update(blob)
return m.hexdigest() | Python | nomic_cornstack_python_v1 |
function number_of_strongly_connected_components adj
begin
set result = 0
comment write your code here
comment Find the reverse graph
set trans_graph = call transpose_graph adj
comment Find the topological order of the reverse graph,
comment To find the sink vertex of the original graph.
set trans_order = call toposort... | def number_of_strongly_connected_components(adj):
result = 0
# write your code here
# Find the reverse graph
trans_graph = transpose_graph(adj)
# Find the topological order of the reverse graph,
# To find the sink vertex of the original graph.
trans_order = toposort(trans_graph)
# Creat... | Python | nomic_cornstack_python_v1 |
if film == string Пятница
begin
set date = input string ВВедите дату(сегодня или завтра)
if date == string сегодня
begin
set time = integer input string ВВедите время сеанса(12, 16, 20)
set score = integer input string ВВедите к-во билетов
if time == 12
begin
if score < 20
begin
print 250 * score
end
else
begin
print 2... | if film=="Пятница":
date=input("ВВедите дату(сегодня или завтра) ")
if date=="сегодня":
time=int(input("ВВедите время сеанса(12, 16, 20) "))
score=int(input("ВВедите к-во билетов "))
if time==12:
if score<20:
print(250*score)
else:
... | Python | zaydzuhri_stack_edu_python |
function test_make_qual self
begin
set qual_fp = join path sff_dir string test.qual
set qual_gz_fp = join path gz_sff_dir string test_gz.qual
call make_qual sff_fp qual_fp
call make_qual sff_gz_fp qual_gz_fp
assert equal read open qual_fp qual_txt
assert equal read open qual_gz_fp qual_txt
end function | def test_make_qual(self):
qual_fp = os.path.join(self.sff_dir, 'test.qual')
qual_gz_fp = os.path.join(self.gz_sff_dir, 'test_gz.qual')
make_qual(self.sff_fp, qual_fp)
make_qual(self.sff_gz_fp, qual_gz_fp)
self.assertEqual(open(qual_fp).read(), qual_txt)
self.assertE... | Python | nomic_cornstack_python_v1 |
set x = string 7
print x
print call zfill 6 | x = "7"
print(x)
print(x.zfill(6)) | Python | zaydzuhri_stack_edu_python |
comment Returns a tuple where the string is parted into three parts
set x = call partition string bananas
print x | # Returns a tuple where the string is parted into three parts
x = txt.partition("bananas")
print(x) | Python | zaydzuhri_stack_edu_python |
function is_correct self question answer
begin
return correct_answer == call strtobool lower answer
end function | def is_correct(self, question, answer):
return self.get(question=question).correct_answer == strtobool(answer.lower()) | Python | nomic_cornstack_python_v1 |
function handle_jump data
begin
set jumping = call unpack string ? data at slice : 1 : at 0
return tuple data at slice 1 : : if expression jumping then string Jumping else string Falling
end function | def handle_jump(data: bytes) -> Tuple[bytes, str]:
jumping = struct.unpack('?', data[:1])[0]
return data[1:], 'Jumping' if jumping else 'Falling' | Python | nomic_cornstack_python_v1 |
function get_top_words file_list
begin
set word_dict = dict
print string Getting top words...
for doc in file_list
begin
for word in doc at string diff_text
begin
if word not in word_dict
begin
set word_dict at word = 1
end
else
begin
set word_dict at word = word_dict at word + 1
end
end
end
set top_200 = dictionary s... | def get_top_words(file_list):
word_dict = {}
print("Getting top words...")
for doc in file_list:
for word in doc['diff_text']:
if word not in word_dict:
word_dict[word] = 1
else:
word_dict[word] = word_dict[word] + 1
top_200 = dict(sorted(w... | Python | nomic_cornstack_python_v1 |
function plot_confusion_matrix cm classes normalize=false title=string Confusion matrix cmap=Greys
begin
if normalize
begin
set cm = as type cm string float / sum axis=1 at tuple slice : : newaxis
print string Normalized confusion matrix
end
else
begin
print string Confusion matrix, without normalization
end
comment... | def plot_confusion_matrix(cm, classes,
normalize=False,
title='Confusion matrix',
cmap=plt.cm.Greys):
if normalize:
cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]
print("Normalized confusion matrix")
else:
... | Python | nomic_cornstack_python_v1 |
function crawl_course metadata
begin
comment Need to re-decode with utf-8, original is encoded with ISO-8859-1
set text : str = decode encode text string ISO-8859-1 string utf-8
set html : _Element = call HTML text
set title : _Element = call xpath string //*[@id="header"]/h1/div/span at 1
set filtered = list filter la... | def crawl_course(metadata: CourseInfo) -> CourseInfo:
# Need to re-decode with utf-8, original is encoded with ISO-8859-1
text: str = requests.get(
"http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php",
params={
"syear": metadata.year.zfill(4),
"sem": metadata.s... | Python | nomic_cornstack_python_v1 |
import json
from get_data_from_csv_xls import Item
from send_requests import StorageApi
from PIL import Image , ImageDraw , ImageColor , ImageFont
class Cell
begin
function __init__ self name lvl merged group_of_merge=0 merged_with=list size_width=none size_height=none size_depth=1 busy=false
begin
set name = name
set... | import json
from get_data_from_csv_xls import Item
from send_requests import StorageApi
from PIL import Image, ImageDraw, ImageColor, ImageFont
class Cell:
def __init__(self, name, lvl, merged, group_of_merge=0, merged_with=[], size_width=None, size_height=None,
size_depth=1, busy=False):
... | Python | zaydzuhri_stack_edu_python |
comment #
comment Todo esse código será feito na extensão .py para que seja possível usá-lo nos projetos. #
comment #
comment Todas as anotações e explicações sobre o que está sendo usado nesse documento podem ser #
comment encontradas no documento "Aula 5 - Detecção da face (Introdução).ipynb". #
comment #
comment Git... | ################################################################################################
# #
# Todo esse código será feito na extensão .py para que seja possível usá-lo nos projetos. #
# ... | Python | zaydzuhri_stack_edu_python |
function save_to_file data filename dir=none
begin
if is instance data ByteArray
begin
set data = data
end
if dir
begin
set filename = join path dir filename
end
set path = join path MEDIA_ROOT filename
set file = open path string wb
try
begin
write file data
end
except any
begin
raise
end
try else
begin
close file
end... | def save_to_file(data, filename, dir=None):
if isinstance(data, amf.ByteArray):
data = data.data
if dir:
filename = os.path.join(dir, filename)
path = os.path.join(settings.MEDIA_ROOT, filename)
file = open(path, 'wb')
try:
file.write(data)
except:
raise... | Python | nomic_cornstack_python_v1 |
import timeit
set sumwords = 4
set listWords = list string champions string we string are string Stepik
set listErrors = list
set numlines = 3
set line = list string We are the champignons string We Are The Champions string Stepic
comment listWords = [input().lower() for i in range(int(input()))]
comment print(*listWo... | import timeit
sumwords = 4
listWords = ['champions', 'we', 'are', 'Stepik']
listErrors = []
numlines = 3
line = ['We are the champignons', 'We Are The Champions', 'Stepic']
#listWords = [input().lower() for i in range(int(input()))]
#print(*listWords)
#for i in line:
#for i in range(int(input())):
for i in line:
f... | Python | zaydzuhri_stack_edu_python |
function reverse_words string
begin
set reversed_string = string
set start = 0
set end = 0
set length = length string
while end < length
begin
comment Find the start and end of each word
while start < length and not is alpha string at start
begin
set start = start + 1
end
set end = start
while end < length and is alph... | def reverse_words(string):
reversed_string = ""
start = 0
end = 0
length = len(string)
while end < length:
# Find the start and end of each word
while start < length and not string[start].isalpha():
start += 1
end = start
while end < length and string... | Python | jtatman_500k |
import urllib.request
function GetTypesOfCancer
begin
string Retrieves a list of all the clinical types of cancer stored on the server OUTPUT: A tab-delimited file with two columns: type_of_cancer_id: a unique text identifier used to identify the type of cancer. For example, "gbm" identifies Glioblastoma multiforme. na... | import urllib.request
def GetTypesOfCancer():
"""Retrieves a list of all the clinical types of cancer stored on the server
OUTPUT:
A tab-delimited file with two columns:
type_of_cancer_id: a unique text identifier used to identify the type of cancer. For example, "gbm" identifies Glioblastom... | Python | zaydzuhri_stack_edu_python |
function _DrawTextList *args **kwargs
begin
return call DC__DrawTextList *args keyword kwargs
end function | def _DrawTextList(*args, **kwargs):
return _gdi_.DC__DrawTextList(*args, **kwargs) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
string This module contains a function called *lookup* that returns a list
function lookup obj
begin
string Returns: The list of available attributes and methods of an object.
return directory obj
end function | #!/usr/bin/python3
"""This module contains a function called *lookup* that returns a list"""
def lookup(obj):
"""
Returns:
The list of available attributes and methods of an object.
"""
return dir(obj)
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding:utf-8 -*-
from repository import models
from django.db.models import Count , Avg , Max , Min , Sum , Aggregate
from utils.response import BaseResponse
class Business extends object
begin
decorator staticmethod
function chart
begin
set response = call BaseResponse
try
begi... | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from repository import models
from django.db.models import Count, Avg, Max, Min, Sum, Aggregate
from utils.response import BaseResponse
class Business(object):
@staticmethod
def chart():
response = BaseResponse()
try:
sql = """
... | Python | zaydzuhri_stack_edu_python |
from keras.utils import Sequence
from skimage.io import imread
from skimage.transform import resize
from keras.preprocessing.image import img_to_array , load_img
from keras.utils import to_categorical
import numpy as np
import pandas as pd
class DataGenerator extends Sequence
begin
set __slots__ = tuple string data_dir... | from keras.utils import Sequence
from skimage.io import imread
from skimage.transform import resize
from keras.preprocessing.image import img_to_array, load_img
from keras.utils import to_categorical
import numpy as np
import pandas as pd
class DataGenerator(Sequence):
__slots__ = 'data_dir', 'seq_length', 'type', '... | Python | zaydzuhri_stack_edu_python |
from turtle import *
function shape k
begin
call pendown
set l = list tuple 1 90 tuple 7 - 90 tuple 2 - 90 tuple 2 - 90 tuple 2 90 tuple 1 90 tuple 3 90 tuple 4 90 tuple 4 90 tuple 8 90
call begin_fill
for tuple s a in l
begin
call fd s * k
call rt a
end
call end_fill
call penup
end function
function klucze
begin
call ... | from turtle import *
def shape(k):
pendown()
l = [(1,90),(7,-90),(2,-90),(2,-90),(2,90),(1,90),(3,90),(4,90),(4,90),(8,90)]
begin_fill()
for s,a in l:
fd(s*k)
rt(a)
end_fill()
penup()
def klucze():
pencolor("orange")
fillcolor("green")
k=420/(12*1.41)
pensize(2)... | Python | zaydzuhri_stack_edu_python |
function run self
begin
pass
end function | def run(self):
pass | Python | nomic_cornstack_python_v1 |
class Solution extends object
begin
function sumEvenGrandparent self root
begin
function DFS root father_even grandpa_even
begin
if root == none
begin
return 0
end
set result = 0
if grandpa_even
begin
set result = result + val
end
set currrent_even = val % 2 == 0
set result = result + call DFS left currrent_even father... | class Solution(object):
def sumEvenGrandparent(self, root):
def DFS(root, father_even, grandpa_even):
if root == None:
return 0
result = 0
if grandpa_even:
result += root.val
currrent_even = root.val % 2 == 0
result ... | Python | zaydzuhri_stack_edu_python |
function output2sphinx data mime_type metadata out_dir inline=false
begin
comment This only works lazily because the logger is inited by Sphinx
from import logger
comment If we're in `inline` mode, ensure that we don't add block-level nodes
if inline
begin
set literal_node = literal
set math_node = math
end
else
begin... | def output2sphinx(data, mime_type, metadata, out_dir, inline=False):
# This only works lazily because the logger is inited by Sphinx
from . import logger
# If we're in `inline` mode, ensure that we don't add block-level nodes
if inline:
literal_node = docutils.nodes.literal
math_node = ... | Python | nomic_cornstack_python_v1 |
import json
import sys
class Coverage
begin
function __init__ self
begin
comment super().__init__()
set kiap = load json open string /Users/arashsaidi/PycharmProjects/GardnerDavies2/coverage/kiap.txt
set kiap_count = integer read line open string /Users/arashsaidi/PycharmProjects/GardnerDavies2/coverage/count_kiap.txt
... | import json
import sys
class Coverage:
def __init__(self):
# super().__init__()
self.kiap = json.load(open('/Users/arashsaidi/PycharmProjects/GardnerDavies2/coverage/kiap.txt'))
self.kiap_count = int(open('/Users/arashsaidi/PycharmProjects/GardnerDavies2/coverage/count_kiap.txt').readline(... | Python | zaydzuhri_stack_edu_python |
function create_dataset file_pattern batch_size mode
begin
function _parse serialized_example
begin
string Parse serialized example and return feature_dict and label. Args: serialized_example: tf.example to parse. Returns: Parsed features dictionary and label.
set feature_map = dict string dayofweek call FixedLenFeatur... | def create_dataset(file_pattern, batch_size, mode):
def _parse(serialized_example):
"""Parse serialized example and return feature_dict and label.
Args:
serialized_example: tf.example to parse.
Returns:
Parsed features dictionary and label.
"""
fea... | Python | nomic_cornstack_python_v1 |
function _define self
begin
string Calculate a subcircuit that implements this unitary.
if num_qubits == 1
begin
set q = call QuantumRegister 1 string q
set angles = call euler_angles_1q call to_matrix
set definition = list tuple call U3Gate *angles list q at 0 list
end
if num_qubits == 2
begin
set definition = call t... | def _define(self):
"""Calculate a subcircuit that implements this unitary."""
if self.num_qubits == 1:
q = QuantumRegister(1, "q")
angles = euler_angles_1q(self.to_matrix())
self.definition = [(U3Gate(*angles), [q[0]], [])]
if self.num_qubits == 2:
... | Python | jtatman_500k |
function render self
begin
pass
end function | def render(self):
pass | Python | nomic_cornstack_python_v1 |
function go_right self
begin
set change_x = 6
set direction = string R
end function | def go_right(self):
self.change_x = 6
self.direction = "R" | Python | nomic_cornstack_python_v1 |
import re
import nltk
import requests
from flask import Flask , render_template , request
from nltk.stem.snowball import EnglishStemmer
set app = call Flask __name__
decorator call route string /
function index
begin
return call render_template string index.html
end function
decorator call route string /api/
function t... | import re
import nltk
import requests
from flask import Flask, render_template, request
from nltk.stem.snowball import EnglishStemmer
app = Flask(__name__)
@app.route("/")
def index():
return render_template('index.html')
@app.route("/api/")
def text_to_sign():
words = [request.args.get("word").lower(), E... | Python | zaydzuhri_stack_edu_python |
from nltk.tag import UnigramTagger , BigramTagger , TrigramTagger , DefaultTagger
from nltk.tokenize import sent_tokenize
from nltk import StanfordNERTagger , word_tokenize
from os import getcwd
import re
from taggers.paragraphs import tag_paragraphs
from taggers.sentences import tag_sentences
from taggers.time import ... | from nltk.tag import UnigramTagger, BigramTagger, TrigramTagger, DefaultTagger
from nltk.tokenize import sent_tokenize
from nltk import StanfordNERTagger, word_tokenize
from os import getcwd
import re
from taggers.paragraphs import tag_paragraphs
from taggers.sentences import tag_sentences
from taggers.time import tag... | Python | zaydzuhri_stack_edu_python |
comment Importing essential libraries
from tkinter import *
comment Create the root window
set root = call Tk
comment Defining the title of the window
title root string GUI created using Tkinter
comment Defining the size of the window
call geometry string 500x500
comment Create the widgets
set label_1 = call Label root... | # Importing essential libraries
from tkinter import *
# Create the root window
root = Tk()
# Defining the title of the window
root.title("GUI created using Tkinter")
# Defining the size of the window
root.geometry("500x500")
# Create the widgets
label_1 = Label(root, text = "My First Program needs GUI")
#... | Python | jtatman_500k |
function indiv_email_new lab_dict sub_dict new_sub
begin
comment # Check if the subscription is cancelled
comment if new_sub.subscription_status.lower() == CONST_SUB_CANCELLED.lower():
comment html_content = email_top(CONST_EMAIL_SUBJECT_CANCELLED)
comment else:
set html_content = call email_top CONST_EMAIL_SUBJECT_NEW... | def indiv_email_new(lab_dict, sub_dict, new_sub):
# # Check if the subscription is cancelled
# if new_sub.subscription_status.lower() == CONST_SUB_CANCELLED.lower():
# html_content = email_top(CONST_EMAIL_SUBJECT_CANCELLED)
# else:
html_content = email_top(CONST_EMAIL_SUBJECT_NEW)
html_mid... | Python | nomic_cornstack_python_v1 |
function Binary arr
begin
for i in range length
begin
for j in range length
begin
set arr at i at j = if expression arr at i at j < 128 then 0 else 255
end
end
return arr
end function | def Binary(arr):
for i in range(length):
for j in range(length):
arr[i][j] = 0 if arr[i][j] < 128 else 255
return arr | Python | nomic_cornstack_python_v1 |
function adopt_instances self
begin
return call succeed 0
set instance_names = list comprehension call name for x in call listDomainsID
for name in instance_names
begin
try
begin
set new_inst = call fromName _conn _pool name
call update_state
end
except any
begin
pass
end
end
return call succeed length _instances
end f... | def adopt_instances(self):
return defer.succeed(0)
instance_names = [self._conn.lookupByID(x).name()
for x in self._conn.listDomainsID()]
for name in instance_names:
try:
new_inst = Instance.fromName(self._conn, self._pool, name)
... | Python | nomic_cornstack_python_v1 |
function near_max_spectra_matrix SN_df SN_spec_df
begin
set tuple spec_idx_list_use sn_name sn_spec_idx sn_spec_time = call near_max_spectra_idxs SN_df SN_spec_df
comment nof_objects = spec_idx_list_use[spec_idx_list_use > 0].shape[0]
set file_name_list = values
set tuple W X dX spec_len = call get_vanilla_spectra_matr... | def near_max_spectra_matrix(SN_df, SN_spec_df):
spec_idx_list_use, sn_name, sn_spec_idx, sn_spec_time = near_max_spectra_idxs(SN_df, SN_spec_df)
#nof_objects = spec_idx_list_use[spec_idx_list_use > 0].shape[0]
file_name_list = SN_spec_df['#Filename'].values
W, X, dX, spec_len = get_vanilla_spectra_matr... | Python | nomic_cornstack_python_v1 |
comment real signature unknown
function __setattr__ self *args **kwargs
begin
pass
end function | def __setattr__(self, *args, **kwargs): # real signature unknown
pass | Python | nomic_cornstack_python_v1 |
function threecycle_stimulus tau
begin
comment pre-pulse
set y0 = list 0.99996874 0.10023398 0
set param at 3 = tau
set kron = call Oscillator model null_I param y0
set intoptions at string constraints = none
set dsol_pre = call int_odes 10.4
set dts_pre = ts
set y0_pulse = dsol_pre at - 1
set dsol_pulses = list dsol_p... | def threecycle_stimulus(tau):
# pre-pulse
y0 = [ 0.99996874, 0.10023398, 0]
param[3]=tau
kron = lc.Oscillator(model(null_I), param, y0)
kron.intoptions['constraints']=None
dsol_pre = kron.int_odes(10.4)
dts_pre = kron.ts
y0_pulse = dsol_pre[-1]
dsol_pulses = [dsol_pre]
dts_pul... | Python | nomic_cornstack_python_v1 |
comment dit wordt hoogstwaarschijnlijk afzien
comment print( voornaam, "is nogal trash,\n de", voornaam, "is vrij tot uitzonderlijk zielig")
set voornaam = input string Wat is jouw voornaam?
set naam = input string Wat is jouw naam?
set leeftijd = integer input string Wat is jouw leeftijd?
set leeftijd = leeftijd + 100... | #dit wordt hoogstwaarschijnlijk afzien
#print( voornaam, "is nogal trash,\n de", voornaam, "is vrij tot uitzonderlijk zielig")
voornaam = input("Wat is jouw voornaam? ")
naam = input("Wat is jouw naam? ")
leeftijd = int(input("Wat is jouw leeftijd? "))
leeftijd = leeftijd + 100
print( "Welkom {0}. Jouw naam is {1} e... | Python | zaydzuhri_stack_edu_python |
comment type: () -> ControllerHostConfig
function controller self
begin
return controller
end function | def controller(self): # type: () -> ControllerHostConfig
return self.host_settings.controller | Python | nomic_cornstack_python_v1 |
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