code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment Every variable is measured in an SI second
comment As of January 1, 2017 CE, we were about 29.691992871777067 parts behind schedule.
import math
import time
from datetime import *
comment 23.9344699 hours or 0.99726958 mean solar days
set secondsInADay = 86164.0916
comment All Sidereal
set secondsInAYear = 3155... | #Every variable is measured in an SI second
#As of January 1, 2017 CE, we were about 29.691992871777067 parts behind schedule.
import math
import time
from datetime import *
secondsInADay = 86164.0916 #23.9344699 hours or 0.99726958 mean solar days
secondsInAYear = 31558149.5 #All Sidereal
ephemerisDay = 86400
z = date... | Python | zaydzuhri_stack_edu_python |
function __init__ self *args **kwds
begin
if args or kwds
begin
call __init__ *args keyword kwds
comment message fields cannot be None, assign default values for those that are
if header is none
begin
set header = call Header
end
if battery_voltage is none
begin
set battery_voltage = 0.0
end
if flight_mode_ll is none
b... | def __init__(self, *args, **kwds):
if args or kwds:
super(mav_monitor, self).__init__(*args, **kwds)
#message fields cannot be None, assign default values for those that are
if self.header is None:
self.header = std_msgs.msg.Header()
if self.battery_voltage is None:
self.batt... | Python | nomic_cornstack_python_v1 |
function mark_failed self test
begin
if not test
begin
warn string Empty or None test name passed to standard_json_util
return
end
if test in tests
begin
set tests at test at string actual = tests at test at string actual + string FAIL
set tests at test at string is_unexpected = true
end
else
begin
set tests at test = ... | def mark_failed(self, test):
if not test:
LOGGER.warn('Empty or None test name passed to standard_json_util')
return
if test in self.tests:
self.tests[test]['actual'] = self.tests[test]['actual'] + " FAIL"
self.tests[test]['is_unexpected'] = True
else:
self.tests[test] = {
... | Python | nomic_cornstack_python_v1 |
function __init__ self
begin
set svclassifier = support vector classifier kernel=string linear
end function | def __init__(self):
self.svclassifier = SVC(kernel='linear') | Python | nomic_cornstack_python_v1 |
import webapp2
import logging
import urllib
import urllib2
import oauth2
import json
from jsonpath_rw import jsonpath , parse
class MainPage extends RequestHandler
begin
function get self
begin
set headers at string Content-Type = string text/plain
write response string Hello, World
end function
end class
class SearchH... | import webapp2
import logging
import urllib
import urllib2
import oauth2
import json
from jsonpath_rw import jsonpath, parse
class MainPage(webapp2.RequestHandler):
def get(self):
self.response.headers['Content-Type'] = 'text/plain'
self.response.write('Hello, World')
class SearchHandler(webapp2.R... | Python | zaydzuhri_stack_edu_python |
function transient exit_delay=time delta seconds=10
begin
function _TransientActor actor_class
begin
function receiveMessage self msg sender
begin
if not get attribute self string _TransientExitScheduled none
begin
call wakeupAfter exit_delay
set _TransientExitScheduled = now + exit_delay
end
if is instance msg WakeupM... | def transient(exit_delay=timedelta(seconds=10)):
def _TransientActor(actor_class):
def receiveMessage(self, msg, sender):
if not getattr(self, '_TransientExitScheduled', None):
self.wakeupAfter(exit_delay)
self._TransientExitScheduled = datetime.now() + exit_delay... | Python | nomic_cornstack_python_v1 |
function rearrange_array array
begin
comment Step 1
set result = list
comment Step 2
for num in array
begin
comment Step 3
if num % 3 == 0
begin
append result num
end
end
comment Step 4
for num in array
begin
comment Step 5
if num % 3 != 0
begin
append result num
end
end
comment Step 6
return result
end function
comme... | def rearrange_array(array):
result = [] # Step 1
for num in array: # Step 2
if num % 3 == 0: # Step 3
result.append(num)
for num in array: # Step 4
if num % 3 != 0: # Step 5
result.append(num)
return result # Step 6
# Test case
input_array = ... | Python | jtatman_500k |
import copy
import itertools
import time
from dataclasses import dataclass
from typing import Dict , List , Optional , Tuple
set SPACE_VACANT = string ░ * 2
set SPACE_POPULATED = string █ * 2
set BOARD_SIZE = tuple 25 25
decorator dataclass
class Location
begin
set x : int
set y : int
function __hash__ self
begin
retur... | import copy
import itertools
import time
from dataclasses import dataclass
from typing import Dict, List, Optional, Tuple
SPACE_VACANT = "\u2591" * 2
SPACE_POPULATED = "\u2588" * 2
BOARD_SIZE = (25, 25)
@dataclass
class Location:
x: int
y: int
def __hash__(self) -> int:
return hash(f"{self.x,sel... | Python | zaydzuhri_stack_edu_python |
from pandas import Series , DataFrame
import pandas as pd
import numpy as np
import os
import csv
import xlrd
import time
import matplotlib.pyplot as plt
import pytz
comment package developed to do stats analyses
import statsmodels.api as sm
from datetime import datetime , timedelta
comment use this to ensure dates are... | from pandas import Series, DataFrame
import pandas as pd
import numpy as np
import os
import csv
import xlrd
import time
import matplotlib.pyplot as plt
import pytz
import statsmodels.api as sm #package developed to do stats analyses
from datetime import datetime, timedelta
from dateutil import parser #use this to ensu... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
from sqlalchemy import create_engine
set host = string XXXX
set user = string XXXX
set password = string XXXX
set db = string XXXX
set engine = call create_engine string mysql+mysqlconnector:// { user } : { password } @ { host } / { db } pool_pre_ping=true
set df = read csv string data.csv
comment s... | import pandas as pd
from sqlalchemy import create_engine
host = 'XXXX'
user = 'XXXX'
password = 'XXXX'
db = 'XXXX'
engine = create_engine(f"mysql+mysqlconnector://{user}:{password}@{host}/{db}", pool_pre_ping=True)
df = pd.read_csv(r"data.csv")
df['Category'] = df['Category'].str.lstrip().str.rstrip() #scraped data... | Python | zaydzuhri_stack_edu_python |
from bs4 import BeautifulSoup
import re
import json
function getNewCourseObj
begin
set obj = dict string code string ; string name string ; string lecs dict ; string tuts dict ; string pracs dict
return obj
end function
function getNewLectureObj
begin
set obj = dict string days list ; string starts list ; string... | from bs4 import BeautifulSoup
import re
import json
def getNewCourseObj():
obj = {"code": "", "name": "", "lecs": {}, "tuts": {}, "pracs": {}}
return obj
def getNewLectureObj():
obj = {"days": [], "starts": [], "ends": [], "rooms": [], "prof": ""}
return obj
def validateCourse(obj):
validity =... | Python | zaydzuhri_stack_edu_python |
comment **************************************************************************** #
comment #
comment ::: :::::::: #
comment 00_parentheses.py :+: :+: :+: #
comment +:+ +:+ +:+ #
comment By: szheng <marvin@42.fr> +#+ +:+ +#+ #
comment +#+#+#+#+#+ +#+ #
comment Created: 2018/10/17 15:28:32 by szheng #+# #+# #
comment... | # **************************************************************************** #
# #
# ::: :::::::: #
# 00_parentheses.py :+: :+: :+: ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Mon Aug 16 13:25:09 2021 @author: avmejia
if false
begin
print string dentro del if
print string segunda instruccion
end
else
if 5 > 0
begin
print string dentro del elif
end
else
begin
print string dentro del else
end
print string fuera de la... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 16 13:25:09 2021
@author: avmejia
"""
if (False):
print("dentro del if")
print("segunda instruccion")
elif (5 > 0):
print("dentro del elif")
else:
print("dentro del else")
print("fuera de la decision")
if(False):
print("dentro... | Python | zaydzuhri_stack_edu_python |
function generate_2D_plot x y labels_dict file_title plot_title
begin
set fig = figure
plot x y
if labels_dict
begin
x label labels_dict at string x
y label labels_dict at string y
end
if plot_title
begin
title plt plot_title
end
save figure file_title
end function | def generate_2D_plot(x, y, labels_dict, file_title, plot_title):
fig = plt.figure()
plt.plot(x, y)
if labels_dict:
plt.xlabel(labels_dict["x"])
plt.ylabel(labels_dict["y"])
if plot_title:
plt.title(plot_title)
plt.savefig(file_title) | Python | nomic_cornstack_python_v1 |
from typing import List
function solution A K
begin
set K = if expression A and length A < K then K % length A else K
return A at slice - K : : + A at slice 0 : - K :
end function | from typing import List
def solution(A: List[int], K: int) -> List[int]:
K = K % len(A) if A and len(A) < K else K
return A[-K:] + A[0:-K]
| Python | zaydzuhri_stack_edu_python |
comment More on Graph Inspection
import tensorflow as tf
set a = call constant 2 name=string a
set b = call get_variable string b list dtype=int32
set c = a + b
set g = call get_default_graph
set ops_list = call get_operations
print
print string tf.Variable objects are really a bundle of four operations (and their cor... | #### More on Graph Inspection
import tensorflow as tf
a = tf.constant(2, name='a')
b = tf.get_variable('b', [], dtype=tf.int32)
c = a + b
g = tf.get_default_graph()
ops_list = g.get_operations()
print()
print("tf.Variable objects are really a bundle of four operations (and their corresponding tensors):")
print(b)
... | Python | zaydzuhri_stack_edu_python |
function solution seq n
begin
set i = 0
set j = 0
set ret = string
while i < length seq and j < n
begin
if not is alpha seq at i and j + 2 <= n
begin
set ret = ret + seq at slice i : i + 3 :
set i = i + 3
set j = j + 2
end
else
if is alpha seq at i
begin
comment ĸ
set ret = ret + seq at i
set i = i + 1
set j = j + 1
... | def solution(seq, n):
i = 0
j = 0
ret = ''
while i < len(seq) and j < n:
if not seq[i].isalpha() and j+2 <= n:
ret += seq[i:i+3]
i += 3
j += 2
elif seq[i].isalpha():
# ĸ
ret += seq[i]
i += 1
j += 1
... | Python | zaydzuhri_stack_edu_python |
import json
function convert_json_string string
begin
return loads string
end function
comment Returns { "a": 1, "b": 2, "c": 3 }
call convert_json_string string | import json
def convert_json_string(string):
return json.loads(string)
convert_json_string(string) # Returns { "a": 1, "b": 2, "c": 3 }
| Python | flytech_python_25k |
function parse_data_line self line
begin
string Parses the data line into a dictionary for the importer
set it = call _generate line
set reader = dict reader it fieldnames=headers
set values = next
set values at string DefaultResult = string ResidualError
set values at string LineName = sub string \W string strip valu... | def parse_data_line(self, line):
""" Parses the data line into a dictionary for the importer
"""
it = self._generate(line)
reader = csv.DictReader(it, fieldnames=self.headers)
values = reader.next()
values['DefaultResult'] = 'ResidualError'
... | Python | jtatman_500k |
function get_activation self activation
begin
if activation == string leaky_relu
begin
set layer = leaky relu alpha=0.2
end
else
begin
set layer = call Activation activation
end
return layer
end function | def get_activation(self, activation):
if activation == 'leaky_relu':
layer = LeakyReLU(alpha=0.2)
else:
layer = Activation(activation)
return layer | Python | nomic_cornstack_python_v1 |
function prepare_df start_date=string 2016-01-01 end_date=string 2021-12-31
begin
set df = call read_csv_all_stocks call read_pickle_file string utils/data/column_file.py string utils/data/data_30_2016.csv
comment swap levels to be able to call the symbol directly.
set df = call swaplevel i=- 2 j=- 1 axis=1
comment ens... | def prepare_df(start_date='2016-01-01', end_date="2021-12-31"):
df = read_csv_all_stocks(read_pickle_file('utils/data/column_file.py'), 'utils/data/data_30_2016.csv')
df = df.swaplevel(i=- 2, j=- 1, axis=1) # swap levels to be able to call the symbol directly.
# ensure we only have data from the provid... | Python | nomic_cornstack_python_v1 |
function contfrac_to_frac seq
begin
set tuple num den = tuple 1 0
for u in reversed seq
begin
set tuple num den = tuple den + num * u num
end
return tuple num den
end function | def contfrac_to_frac(seq: List[int]) -> Tuple[int, int]:
num, den = 1, 0
for u in reversed(seq):
num, den = den + num * u, num
return num, den | Python | nomic_cornstack_python_v1 |
from __future__ import division
import numpy as np
import sklearn as sk
from sklearn.linear_model import LogisticRegression
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
import matplotlib as mpl
import matplotlib.pyplot as plt
from bonnerlib2 import d... | from __future__ import division
import numpy as np
import sklearn as sk
from sklearn.linear_model import LogisticRegression
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
import matplotlib as mpl
import matplotlib.pyplot as plt
from bonnerlib2 import d... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
import datetime
import time
import sys , os , errno
import urllib
comment Data e hora
function dataehora
begin
print string
print string Data e hora: + string format time now string %d-%m-%y-%H:%M
print string
end function
comment Pegando conte... | # -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
import datetime
import time
import sys, os, errno
import urllib
# Data e hora
def dataehora():
print ('')
print ("Data e hora: " + datetime.datetime.now().strftime("%d-%m-%y-%H:%M"))
print ('')
# Pegando conteúdo
def pegarconteudo(url):
aux... | Python | zaydzuhri_stack_edu_python |
function calc_demagspatial self
begin
return call calc_demagspatial focallength focallength
end function | def calc_demagspatial(self):
return calc_demagspatial(self.collimator.focallength, self.camera.focallength) | Python | nomic_cornstack_python_v1 |
comment print(len(a))
set dict = dict string Google string www.google.com ; string Runoob string www.runoob.com ; string taobao string www.taobao.com
comment print(dict.items())
for i in items dict
begin
print i
end | # print(len(a))
dict = {'Google': 'www.google.com', 'Runoob': 'www.runoob.com', 'taobao': 'www.taobao.com'}
# print(dict.items())
for i in dict.items():
print(i) | Python | zaydzuhri_stack_edu_python |
function djr S T kappa d
begin
comment Equation of Mass in solar masses, per pixel
set M = 0.39 * S * exp 17.0 / T - 1.0 * kappa / 0.012 ^ - 1.0 * d / 250.0 ^ 2.0
end function | def djr(S,T,kappa,d):
#Equation of Mass in solar masses, per pixel
M = 0.39*S*(np.exp(17.0/T)-1.0)*((kappa/0.012)**(-1.0))*((d/250.0)**2.0) | Python | nomic_cornstack_python_v1 |
function success_threshold self
begin
return get pulumi self string success_threshold
end function | def success_threshold(self) -> Optional[int]:
return pulumi.get(self, "success_threshold") | Python | nomic_cornstack_python_v1 |
class Solution
begin
decorator staticmethod
function subsets nums
begin
set result = list list
for num in nums
begin
set result = result + list comprehension sub_set + list num for sub_set in result
end
return result
end function
end class
if __name__ == string __main__
begin
print call subsets list 1 2 3
end | class Solution:
@staticmethod
def subsets(nums: list) -> list:
result = [[]]
for num in nums:
result += [sub_set + [num] for sub_set in result]
return result
if __name__ == '__main__':
print(Solution().subsets([1, 2, 3])) | Python | zaydzuhri_stack_edu_python |
function load_pty finder module
begin
call IgnoreName string sgi
end function | def load_pty(finder, module):
module.IgnoreName("sgi") | Python | nomic_cornstack_python_v1 |
function load_frame_building_test_data fb
begin
call load_building_test_data fb
set bay_lengths = list 6.0 6.0 6.0
set beam_depths = list 0.5
set n_seismic_frames = 3
set n_gravity_frames = 0
end function | def load_frame_building_test_data(fb):
load_building_test_data(fb)
fb.bay_lengths = [6., 6.0, 6.0]
fb.beam_depths = [.5]
fb.n_seismic_frames = 3
fb.n_gravity_frames = 0 | Python | nomic_cornstack_python_v1 |
function dayslice fileindex hourlist=list comprehension i for i in call xrange 0 24 minutelist=none
begin
set imageset = list
sort hourlist
if not minutelist
begin
set minutelist = list 0
end
sort minutelist
end function | def dayslice(fileindex,
hourlist=[i for i in xrange(0, 24)],
minutelist=None):
imageset = []
hourlist.sort()
if not minutelist:
minutelist = [0]
minutelist.sort() | Python | nomic_cornstack_python_v1 |
comment input upp list
function career_choice self upp
begin
if upp at 4 == max upp
begin
set career = Navy
end
else
if upp at 0 == max upp
begin
set career = call random_choice list Scouts Marines
end
else
if upp at 2 == max upp
begin
set career = Army
end
else
if upp at 3 == max upp
begin
set career = Merchants
end
e... | def career_choice (self, upp): #input upp list
if upp[4]==max(upp):
career=self.Navy
elif upp[0]==max(upp):
career=game.random_choice([self.Scouts, self.Marines])
elif upp[2]==max(upp):
career=self.Army
elif upp[3]==max(upp):
career=self.Merchants
else:
career=self.Other
return car... | Python | nomic_cornstack_python_v1 |
function init_response res_str=none data=none
begin
set response = dict
set response at string res_str = string
set response at string res_data = dict
if res_str is not none
begin
set response at string res_str = res_str
end
if data is not none
begin
set response at string res_data = data
end
return response
end fun... | def init_response(res_str=None, data=None):
response = {}
response["res_str"] = ""
response["res_data"] = {}
if res_str is not None:
response["res_str"] = res_str
if data is not None:
response["res_data"] = data
return response | Python | nomic_cornstack_python_v1 |
function generate self num_blocks
begin
set blocks = call generatetoaddress num_blocks _address
for b in blocks
begin
set cb_tx = call getblock blockhash=b verbosity=2 at string tx at 0
append _utxos dict string txid cb_tx at string txid ; string vout 0 ; string value cb_tx at string vout at 0 at string value
end
retur... | def generate(self, num_blocks):
blocks = self._test_node.generatetoaddress(num_blocks, self._address)
for b in blocks:
cb_tx = self._test_node.getblock(blockhash=b, verbosity=2)['tx'][0]
self._utxos.append({'txid': cb_tx['txid'], 'vout': 0, 'value': cb_tx['vout'][0]['value']})
... | Python | nomic_cornstack_python_v1 |
function clean_exit *args
begin
set return_code = 0
for ref in CLEANUP_FUNCTIONS
begin
try
begin
set fn = call ref
if fn
begin
call fn
end
end
except Exception
begin
set return_code = 1
exception string Failure during signal handling
end
end
exit return_code
end function | def clean_exit(*args):
return_code = 0
for ref in CLEANUP_FUNCTIONS:
try:
fn = ref()
if fn:
fn()
except Exception:
return_code = 1
log.exception("Failure during signal handling")
sys.exit(return_code) | Python | nomic_cornstack_python_v1 |
import numpy as np
from scipy import stats
from numpy import random
class GaussianHMM
begin
function __init__ self num_hidden_states=1 dim_observation=1 init_parameters=true
begin
set __num_hidden_states = num_hidden_states
set __dim_observation = dim_observation
set __has_parameters = false
if init_parameters
begin
co... | import numpy as np
from scipy import stats
from numpy import random
class GaussianHMM:
def __init__(self, num_hidden_states=1, dim_observation=1, init_parameters=True):
self.__num_hidden_states = num_hidden_states
self.__dim_observation = dim_observation
self.__has_parameters = False
... | Python | zaydzuhri_stack_edu_python |
function _reset self
begin
call reset
return call TimeStep FIRST call float32 0.0 DISCOUNT zeros 23 dtype=float32
end function | def _reset(self):
self.spot_supervisor.reset()
return ts.TimeStep(ts.StepType.FIRST, np.float32(0.0), DISCOUNT,
np.zeros(23, dtype=np.float32)) | Python | nomic_cornstack_python_v1 |
function persist_scan_results self scan_reports
begin
if not use_s3_integration or not s3_client
begin
return
end
if not bucket or not repo_path
begin
error string Something went wrong: bucket { bucket } , repo path { repo_path }
return
end
comment just process reports with actual results in it
set scan_reports = list ... | def persist_scan_results(self, scan_reports: list[Report]) -> None:
if not self.use_s3_integration or not self.s3_client:
return
if not self.bucket or not self.repo_path:
logging.error(f"Something went wrong: bucket {self.bucket}, repo path {self.repo_path}")
return
... | Python | nomic_cornstack_python_v1 |
function testSetPowerWithNegativeFloat self
begin
function setPower
begin
set power = - 20.1
end function
set HALT_ON_ERROR = true
assert raises ValueError setPower
set HALT_ON_ERROR = false
call setPower
assert equal tuple call Decimal string 0.0 call Decimal string 0.0 call Decimal string 0.0 power
end function | def testSetPowerWithNegativeFloat(self):
def setPower():
self.node.power = -20.1
cdl_convert.config.HALT_ON_ERROR = True
self.assertRaises(
ValueError,
setPower
)
cdl_convert.config.HALT_ON_ERROR = False
setPower()
self.ass... | Python | nomic_cornstack_python_v1 |
from models.item import ItemModel
from tests.base_test import BaseTest
class ItemTest extends BaseTest
begin
function test_crud self
begin
with app_context
begin
set item = call ItemModel string Piano 20.0
comment assert item does not exit in db
assert is none call find_by_name string Piano string Error: found item { n... | from models.item import ItemModel
from tests.base_test import BaseTest
class ItemTest(BaseTest):
def test_crud(self):
with self.app_context:
item = ItemModel('Piano', 20.00)
# assert item does not exit in db
self.assertIsNone(ItemModel.find_by_name('Piano'),
... | Python | zaydzuhri_stack_edu_python |
function DivideAndConquer arr panjangArrAsli
begin
if length arr > 1
begin
comment implement merge sort#
comment mencari mid array
set mid = length arr // 2
comment membagi elemen array dari mid ke kiri
set L = arr at slice : mid :
comment membagi elemen array dari mid ke kanan
set R = arr at slice mid : :
comment ... | def DivideAndConquer(arr, panjangArrAsli):
if len(arr) > 1:
######################
#implement merge sort#
######################
# mencari mid array
mid = len(arr)//2
# membagi elemen array dari mid ke kiri
L = arr[:mid]
# membagi elem... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
comment Sample Python code for youtube.channels.list
comment See instructions for running these code samples locally:
comment https://developers.google.com/explorer-help/guides/code_samples#python
import os
import google_auth_oauthlib.flow
import googleapiclient.discovery
import googleapic... | # -*- coding: utf-8 -*-
# Sample Python code for youtube.channels.list
# See instructions for running these code samples locally:
# https://developers.google.com/explorer-help/guides/code_samples#python
import os
import google_auth_oauthlib.flow
import googleapiclient.discovery
import googleapiclient.error... | Python | zaydzuhri_stack_edu_python |
comment Shahar Engel
comment חתימות הפונקציות שלי נראות כך (ולא כמו במטלה) כי גרסת הפייתון שלי לא תומכת בחתימות של המטלה
class Agent
begin
function __init__ self name values
begin
set name = name
set values = values
end function
comment נעזרתי בעמית רן כדי להבין איך לממש את פונקציה זו
function value self option
begin
r... | # Shahar Engel
# חתימות הפונקציות שלי נראות כך (ולא כמו במטלה) כי גרסת הפייתון שלי לא תומכת בחתימות של המטלה
class Agent:
def __init__(self, name, values):
self.name = name
self.values = values
# נעזרתי בעמית רן כדי להבין איך לממש את פונקציה זו
def value(self, option):
return se... | Python | zaydzuhri_stack_edu_python |
function iter_related self concept relation max_degree_of_separation=2
begin
set queue = deque list tuple concept 0
while queue
begin
set tuple current_concept depth = call popleft
set depth = depth + 1
for tuple target rel in items get self current_concept dict
begin
if rel == relation and depth <= max_degree_of_separ... | def iter_related(self, concept, relation, max_degree_of_separation=2):
queue = deque([(concept, 0)])
while queue:
current_concept, depth = queue.popleft()
depth += 1
for target, rel in self.get(current_concept, {}).items():
if rel == relation and depth... | Python | nomic_cornstack_python_v1 |
function ensure_date_set self message
begin
if not _date
begin
raise call EIMParsingError string Date not parsed and set in %s % _filepath
end
end function | def ensure_date_set(self, message):
if not self._date:
raise EIMParsingError('Date not parsed and set in %s' % self._filepath) | Python | nomic_cornstack_python_v1 |
function auth_uri self auth_uri
begin
set _auth_uri = auth_uri
end function | def auth_uri(self, auth_uri):
self._auth_uri = auth_uri | Python | nomic_cornstack_python_v1 |
function get_input_fnames_data_quality cfg subject session run task
begin
set kwargs = dictionary cfg=cfg subject=subject session=session add_bads=false
set in_files = call _get_run_rest_noise_path run=run task=task kind=string orig mf_reference_run=mf_reference_run keyword kwargs
comment When doing autobad for the noi... | def get_input_fnames_data_quality(
*,
cfg: SimpleNamespace,
subject: str,
session: Optional[str],
run: Optional[str],
task: Optional[str],
) -> dict:
kwargs = dict(
cfg=cfg,
subject=subject,
session=session,
add_bads=False,
)
in_files = _get_run_rest_n... | Python | nomic_cornstack_python_v1 |
comment importing linear models
import random
import time
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import uniform as sp_rand
from sklearn.linear_model import Ridge
from sklearn.metrics import r2_score , mean_squared_error , mean_absolute_error
from sklearn.model_selection import RandomizedSea... | # importing linear models
import random
import time
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import uniform as sp_rand
from sklearn.linear_model import Ridge
from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error
from sklearn.model_selection import RandomizedSearchCV
... | Python | zaydzuhri_stack_edu_python |
function map name
begin
set map = name
end function | def map(name):
env.map = name | Python | nomic_cornstack_python_v1 |
set sentence = input
print join string generator expression if expression is lower letter then upper letter else lower letter for letter in sentence | sentence = input()
print(''.join(letter.upper() if letter.islower() else letter.lower() for letter in sentence))
| Python | zaydzuhri_stack_edu_python |
function check_for_no_improvement_decay self ni_buffer
begin
set no_improvement = call check_no_improvement
if no_improvement and hparams at NO_IMPROV_LR_DECAY < 1.0 and ni_buffer <= 0
begin
comment setting lr on the schedulers
for tuple j base_lr in enumerate base_lrs
begin
set base_lrs at j = base_lr * hparams at NO_... | def check_for_no_improvement_decay(self, ni_buffer):
no_improvement = self.check_no_improvement()
if no_improvement and self.hparams[HyperParamKey.NO_IMPROV_LR_DECAY] < 1.0 and ni_buffer <= 0:
# setting lr on the schedulers
for j, base_lr in enumerate(self.enc_scheduler.base_lrs)... | Python | nomic_cornstack_python_v1 |
import time
import requests
import os
import random
print string python > Hello, docker.
set DAPR_HTTP_PORT = call getenv string DAPR_HTTP_PORT 3500
set BASE_URL = format string http://localhost:{0}/v1.0/invoke/{{}}//method/order DAPR_HTTP_PORT
function post_order app_id num_of_start
begin
set n = num_of_start
set URL ... | import time
import requests
import os
import random
print("python > Hello, docker.")
DAPR_HTTP_PORT = os.getenv("DAPR_HTTP_PORT", 3500)
BASE_URL = "http://localhost:{0}/v1.0/invoke/{{}}//method/order" \
.format(DAPR_HTTP_PORT)
def post_order(app_id, num_of_start):
n = num_of_start
URL = BASE_URL.format(... | Python | zaydzuhri_stack_edu_python |
function add_unknown_words word_vecs vocab min_df=1 k=300 unk_token=UNK_TOKEN
begin
for word in vocab
begin
if word not in word_vecs and vocab at word >= min_df
begin
set word_vecs at word = call uniform_sample - 0.25 0.25 k
end
end
set word_vecs at unk_token = call uniform_sample - 0.25 0.25 k
end function | def add_unknown_words(word_vecs, vocab, min_df=1, k=300, unk_token=UNK_TOKEN):
for word in vocab:
if word not in word_vecs and vocab[word] >= min_df:
word_vecs[word] = uniform_sample(-0.25,0.25,k)
word_vecs[unk_token] = uniform_sample(-0.25,0.25,k) | Python | nomic_cornstack_python_v1 |
import csv
function write_into_csv info_list
begin
with open string student_info.csv string a newline=string as csv_file
begin
set writer = writer csv_file
if tell csv_file == 0
begin
write row writer list string Name string Age string Contact No string Email-id
end
write row writer info_list
end
end function
set selec... | import csv
def write_into_csv(info_list):
with open('student_info.csv','a',newline='') as csv_file:
writer=csv.writer(csv_file)
if csv_file.tell()==0:
writer.writerow(["Name","Age","Contact No","Email-id"])
writer.writerow(info_list)
selection=int(input("\nEnter 1 for adding stud... | Python | zaydzuhri_stack_edu_python |
import os
import hashlib
from concurrent_iterator.thread import Producer
from functools import reduce
import operator
class ExitCodeError extends Exception
begin
pass
end class
function id x
begin
return x
end function
function utf8len s
begin
return length encode s string utf-8
end function
function sh x
begin
if call... | import os
import hashlib
from concurrent_iterator.thread import Producer
from functools import reduce
import operator
class ExitCodeError(Exception): pass
def id(x):
return x
def utf8len(s):
return len(s.encode('utf-8'))
def sh(x):
if os.system(x): raise ExitCodeError()
def fwrite(fname, content):
... | Python | zaydzuhri_stack_edu_python |
string def fact(num): prod=1 for i in range(1,num+1): prod=prod*i return prod num=int(input("Enter number")) result=fact(num) print(result)
comment Recursion#############
function fact num
begin
if num == 0
begin
return 1
end
else
begin
return num * call fact num - 1
end
end function
set result = call fact 3
print resu... | '''def fact(num):
prod=1
for i in range(1,num+1):
prod=prod*i
return prod
num=int(input("Enter number"))
result=fact(num)
print(result)'''
#############Recursion#############
def fact(num):
if num==0:
return 1
else:
return num*fact(num-1)
result=fact(3)
print(result) | Python | zaydzuhri_stack_edu_python |
function get_samples_stream_app self
begin
set req = call Request method=string get endpoint=string /streamapps/samples
function response_handler resp
begin
if is_success is not true
begin
raise call StreamAppGetSampleError resp req
end
return body at string streamAppSample
end function
return call _execute req respons... | def get_samples_stream_app(self):
req = Request(
method="get",
endpoint="/streamapps/samples",
)
def response_handler(resp):
if resp.is_success is not True:
raise StreamAppGetSampleError(resp, req)
return resp.body["streamAppSample... | Python | nomic_cornstack_python_v1 |
comment 문자열
for i in range n
begin
set a = input
set arr = list comprehension 0 for i in range 26
for j in range length a
begin
if ordinal a at j >= 65 and ordinal a at j <= 90 or ordinal a at j >= 97 and ordinal a at j <= 122
begin
set arr at ordinal upper a at j - 65 = arr at ordinal upper a at j - 65 + 1
end
end
set... | # 문자열
for i in range(n):
a = input()
arr = [0 for i in range(26)]
for j in range(len(a)):
if((ord(a[j]) >= 65 and ord(a[j]) <= 90) or (ord(a[j]) >= 97 and ord(a[j]) <= 122)):
arr[ord(a[j].upper())-65] += 1
pen = 1
dpen = 1
tpen = 1
for j in range(26):
if(arr[j... | Python | zaydzuhri_stack_edu_python |
function parse_command_line args=none final=true
begin
return call parse_command_line args final=final
end function | def parse_command_line(args=None, final=True):
return options.parse_command_line(args, final=final) | Python | nomic_cornstack_python_v1 |
function count_paths_with_sum root target_sum running_sum=0 dict_path_count=dict
begin
if not root
begin
return 0
end
set running_sum = running_sum + value
set to_be_taken = running_sum - target_sum
set total_paths = get dict_path_count to_be_taken 0
if running_sum == running_sum
begin
set total_paths = total_paths + 1... | def count_paths_with_sum(root, target_sum, running_sum=0, dict_path_count={}):
if not root: return 0
running_sum += root.value
to_be_taken = running_sum - target_sum
total_paths = dict_path_count.get(to_be_taken, 0)
if running_sum == running_sum: total_paths += 1
actual_count = dict_path_cou... | Python | zaydzuhri_stack_edu_python |
function count self x
begin
return 0
end function | def count(self, x):
return 0 | Python | nomic_cornstack_python_v1 |
function name self
begin
return _name
end function | def name(self) -> str:
return self._name | Python | nomic_cornstack_python_v1 |
import nltk
from nltk import word_tokenize
from nltk.corpus import stopwords
import os
import re
import pickle as pkl
import collections
import codecs
function load_data directory
begin
set sub_dirs = list string fake string real
set label_map = dict string fake 0 ; string real 1
set contents = list
set labels = list ... | import nltk
from nltk import word_tokenize
from nltk.corpus import stopwords
import os
import re
import pickle as pkl
import collections
import codecs
def load_data(directory):
sub_dirs = ['fake', 'real']
label_map = {'fake': 0, 'real': 1}
contents = []
labels = []
for dir in sub_dirs:
... | Python | zaydzuhri_stack_edu_python |
comment Datei muss clock.py heissen !!!
function esIst table
begin
for n in range 0 2
begin
for m in range 5 9
begin
set table at n at m = 1
end
end
for n in range 0 2
begin
for m in range 12 17
begin
set table at n at m = 1
end
end
end function
function fuenf table
begin
for n in range 0 2
begin
for m in range 20 27
b... | # Datei muss clock.py heissen !!!
def esIst(table):
for n in range(0, 2):
for m in range (5, 9):
table [n][m] = 1
for n in range(0, 2):
for m in range (12, 17):
table [n][m] = 1
def fuenf(table):
for n in range(0, 2... | Python | zaydzuhri_stack_edu_python |
function stable_boltzmann beta numerator denominator
begin
set minx = min numerator min
set new_num = beta * numerator - minx
set new_den = beta * denominator - minx
return exp new_num / sum exp new_den
end function | def stable_boltzmann(beta, numerator, denominator):
minx = min(numerator, denominator.min())
new_num = beta * (numerator - minx)
new_den = beta * (denominator - minx)
return np.exp(new_num) / np.sum(np.exp(new_den)) | Python | nomic_cornstack_python_v1 |
import os
import re
import time
import bs4
import requests
from bs4 import BeautifulSoup
comment res = requests.get(f'https://github.com/KHwang9883/MobileModels/blob/master/brands/apple.md')
function down
begin
set url = string https://github.com/KHwang9883/MobileModels/blob/master/brands/apple.md
set res = get request... | import os
import re
import time
import bs4
import requests
from bs4 import BeautifulSoup
# res = requests.get(f'https://github.com/KHwang9883/MobileModels/blob/master/brands/apple.md')
def down():
url = 'https://github.com/KHwang9883/MobileModels/blob/master/brands/apple.md'
res = requests.get(url)
res.r... | Python | zaydzuhri_stack_edu_python |
function overall_status self overall_status
begin
set _overall_status = overall_status
end function | def overall_status(self, overall_status):
self._overall_status = overall_status | Python | nomic_cornstack_python_v1 |
string 使用迭代优化的方法对全局运动进行估计，通过不断迭代消除局部运动的干扰 code_v3: create on 2020/3/10 by Yang Zhou
from lib import flowlib_v2 as fl2
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
from lib import flowlib as fl
from scipy import optimize
import time
from math import pow
comment hyper parameter of the threshold... | """
使用迭代优化的方法对全局运动进行估计，通过不断迭代消除局部运动的干扰
code_v3: create on 2020/3/10 by Yang Zhou
"""
from lib import flowlib_v2 as fl2
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
from lib import flowlib as fl
from scipy import optimize
import time
from math import pow
# hyper parameter of the threshold fu... | Python | zaydzuhri_stack_edu_python |
function get_token self *scopes **kwargs
begin
comment type: (*str, **Any) -> AccessToken
set aad_header_cosmos_emulator = string {"typ":"JWT","alg":"RS256","x5t":"CosmosEmulatorPrimaryMaster","kid":"CosmosEmulatorPrimaryMaster"}
set aad_claim_cosmos_emulator_format = dict string aud string https://localhost.localhost ... | def get_token(self, *scopes, **kwargs):
# type: (*str, **Any) -> AccessToken
aad_header_cosmos_emulator = "{\"typ\":\"JWT\",\"alg\":\"RS256\",\"x5t\":\"" \
"CosmosEmulatorPrimaryMaster\",\"kid\":\"CosmosEmulatorPrimaryMaster\"}"
aad_claim_cosmos_emulator_for... | Python | nomic_cornstack_python_v1 |
function load_atompairs atpairs missing_reppots=string error
begin
from DFTB.AtomicData import atom_names
for tuple Zi Zj in atpairs
begin
set tuple atI atJ = tuple atom_names at Zi - 1 atom_names at Zj - 1
end
end function | def load_atompairs(atpairs, missing_reppots="error"):
from DFTB.AtomicData import atom_names
for (Zi,Zj) in atpairs:
atI, atJ = atom_names[Zi-1], atom_names[Zj-1] | Python | nomic_cornstack_python_v1 |
function sort_mappings self
begin
for t in all_mappings
begin
set sortkey = vpage ? 32 + size
end
sort all_mappings key=lambda x -> sortkey
end function | def sort_mappings(self):
for t in self.all_mappings:
t.sortkey = (t.vpage << 32) + (t.size)
self.all_mappings.sort(key=lambda x: x.sortkey) | Python | nomic_cornstack_python_v1 |
comment faça um programa que leia 5 valores numéricos e guarde numa lista
comment no fim mostre o maior e o menor valor digitado e suas respectivas posições na lista
set valores = list
set max = 0
set min = 0
for i in range 0 5
begin
append valores integer input string Insira um valor para a posição { i } :
if i == 0
... | #faça um programa que leia 5 valores numéricos e guarde numa lista
#no fim mostre o maior e o menor valor digitado e suas respectivas posições na lista
valores = []
max = 0
min = 0
for i in range(0,5):
valores.append((int(input(f'Insira um valor para a posição {i}: '))))
if i == 0:
max = min = valore... | Python | zaydzuhri_stack_edu_python |
function arn self
begin
return get pulumi self string arn
end function | def arn(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "arn") | Python | nomic_cornstack_python_v1 |
comment pylint: disable-msg=too-many-statements
function create_account request post_override=none
begin
comment pylint: disable-msg=invalid-name
set js = dict string success false
set post_vars = if expression post_override then post_override else POST
set extra_fields = get attribute settings string REGISTRATION_EXTR... | def create_account(request, post_override=None): # pylint: disable-msg=too-many-statements
js = {'success': False} # pylint: disable-msg=invalid-name
post_vars = post_override if post_override else request.POST
extra_fields = getattr(settings, 'REGISTRATION_EXTRA_FIELDS', {})
if settings.FEATURES.ge... | Python | nomic_cornstack_python_v1 |
function cosine_fft data inverse=false
begin
set N = length data - 1
set extend_data = list 0.0 * 2 * N
set extend_data at 0 = data at 0
for j in range 1 N
begin
set extend_data at j = data at j
set extend_data at 2 * N - j = data at j
end
set extend_data at N = data at N
set transform = fft extend_data
set cosineft = ... | def cosine_fft(data, inverse=False):
N = len(data)-1
extend_data = [ 0.0 ] * (2*N)
extend_data[0] = data[0]
for j in range(1, N):
extend_data[j] = data[j]
extend_data[2*N-j] = data[j]
extend_data[N] = data[N]
transform = fft(extend_data)
cosineft = [ 0.0 ] * (N+1)
for k i... | Python | nomic_cornstack_python_v1 |
import unittest
from authentication import Authentication
from structures import User
class FakePersist
begin
function __init__ self
begin
set structure = none
set structure_instance = none
set structure_id = none
set custom_retrieve_value = none
end function
function store self structure
begin
set structure = structur... | import unittest
from authentication import Authentication
from structures import User
class FakePersist:
def __init__(self):
self.structure = None
self.structure_instance = None
self.structure_id = None
self.custom_retrieve_value = None
def store(self, structure):
self.... | Python | zaydzuhri_stack_edu_python |
import string
function sort_by_letter lst
begin
return list comprehension i for el in list ascii_lowercase for i in lst if el in list i
end function | import string
def sort_by_letter(lst):
return [i for el in list(string.ascii_lowercase) for i in lst if el in list(i)]
| Python | zaydzuhri_stack_edu_python |
comment Meme Templates
from pathlib import Path
from PIL import Image , ImageFont , ImageDraw , ImageSequence
import requests
from io import BytesIO
set ROOT_DIR = call resolve
set FONT_DIR = ROOT_DIR / string fonts
class Meme
begin
string The basic meme object
function __init__ self
begin
set composition = none
return... | # Meme Templates
from pathlib import Path
from PIL import Image, ImageFont, ImageDraw, ImageSequence
import requests
from io import BytesIO
ROOT_DIR = (Path(__file__).parents[2]).resolve()
FONT_DIR = ROOT_DIR / 'fonts'
class Meme:
"""
The basic meme object
"""
def __init__(self):
self.compos... | Python | zaydzuhri_stack_edu_python |
function ola array a j
begin
if array at a - 1 > array at a
begin
for i in range a length array
begin
if j < array at i
begin
return false
end
set j = array at i
end
return true
end
else
begin
for i in range a length array
begin
if j > array at i
begin
return false
end
set j = array at i
end
return true
end
end functio... | def ola(array,a,j):
if(array[a-1]>array[a]):
for i in range(a,len(array)):
if(j<array[i]):
return False
j=array[i]
return True
else:
for i in range(a,len(array)):
if(j>array[i]):
return False
j=array[i]
return True
def isMonotonic(array):
# Write your code here.''
if(len(array)>2):
... | Python | zaydzuhri_stack_edu_python |
function _print_image self img opts
begin
raise BaseException
end function | def _print_image(self, img, opts):
raise BaseException | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
string Author: TaoRui Date: 2020/07/10 14:36:33 Description: 外部排序实现计算日记点赞表的P90值 1.读取大文件表，维护一个数据总量nTotal 2.分为n个小文件（第一次内部排序<采用优化后的快排>；注意：内存量 大于等于 小文件的数据量大小） 3.采用外部排序排序每个小文件 4.合并所有小文件并输出到一个新的文件（依次读取每个文件从第一行到末尾，比较获取极（大/小）值，存入新文件） 5.最终获得一个排序好的大文件 6.通过排序后的大文件获取p90的位置... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: TaoRui
Date: 2020/07/10 14:36:33
Description: 外部排序实现计算日记点赞表的P90值
1.读取大文件表，维护一个数据总量nTotal
2.分为n个小文件（第一次内部排序<采用优化后的快排>；注意：内存量 大于等于 小文件的数据量大小）
3.采用外部排序排序每个小文件
4.合并所有小文件并输出到一个新的文件（依次读取每个文件从第一行到末尾，比较获取极（大/小）值，存入新文件）
5.最终获得一个排序好的大文件
6.通过排序后的大文件... | Python | zaydzuhri_stack_edu_python |
function build_bpmf_model train alpha=2 dim=10 std=0.01
begin
set tuple n m = shape
comment scaling factor for lambdas; unclear on its use
set beta_0 = 1
comment Mean value imputation on training data.
set train = copy train
set nan_mask = call isnan train
set train at nan_mask = mean train at ? nan_mask
info string bu... | def build_bpmf_model(train, alpha=2, dim=10, std=0.01):
n, m = train.shape
beta_0 = 1 # scaling factor for lambdas; unclear on its use
# Mean value imputation on training data.
train = train.copy()
nan_mask = np.isnan(train)
train[nan_mask] = train[~nan_mask].mean()
logging.info('building... | Python | nomic_cornstack_python_v1 |
function __init__ self ship_type starting_pos
begin
set health_points = 30
if ship_type == string Applecat
begin
call _initialize_applecat
end
set start_location = starting_pos
set model = call Simulator start_location
end function | def __init__(self, ship_type, starting_pos):
self.health_points = 30
if ship_type == 'Applecat':
self._initialize_applecat()
start_location = starting_pos
self.model = physics.Simulator(start_location) | Python | nomic_cornstack_python_v1 |
function hourly location=string Fresno, CA days=1 start=none end=none years=1 use_cache=true verbosity=1
begin
string Get detailed (hourly) weather data for the requested days and location The Weather Underground URL for Fresno, CA on 1/1/2011 is: http://www.wunderground.com/history/airport/KFAT/2011/1/1/DailyHistory.h... | def hourly(location='Fresno, CA', days=1, start=None, end=None, years=1, use_cache=True, verbosity=1):
""" Get detailed (hourly) weather data for the requested days and location
The Weather Underground URL for Fresno, CA on 1/1/2011 is:
http://www.wunderground.com/history/airport/KFAT/2011/1/1/DailyHistory... | Python | jtatman_500k |
function test_absolute_url_without_request self
begin
set context = dict
set abs_url = call absolute_url context string /ciao/
assert equal abs_url string /ciao/
assert not equal abs_url string /
end function | def test_absolute_url_without_request(self):
context = {}
abs_url = absolute_url(context, "/ciao/")
self.assertEqual(abs_url, "/ciao/")
self.assertNotEqual(abs_url, "/") | Python | nomic_cornstack_python_v1 |
function _search_names self query
begin
string Search in the name filed for contacts matching query. :param query: the query to search for :type query: str :yields: all found contacts :rtype: generator(carddav_object.CarddavObject)
set regexp = compile query IGNORECASE ? DOTALL
for contact in values contacts
begin
comm... | def _search_names(self, query):
"""Search in the name filed for contacts matching query.
:param query: the query to search for
:type query: str
:yields: all found contacts
:rtype: generator(carddav_object.CarddavObject)
"""
regexp = re.compile(query, re.IGNORECA... | Python | jtatman_500k |
function defang_ip_addr1 address
begin
set defanged = list
for ch in address
begin
if ch == string .
begin
append defanged string [.]
end
else
begin
append defanged ch
end
end
return join string defanged
end function | def defang_ip_addr1(address):
defanged = []
for ch in address:
if ch == '.':
defanged.append('[.]')
else:
defanged.append(ch)
return ''.join(defanged) | Python | zaydzuhri_stack_edu_python |
function _insert_action self node
begin
string Add a L{WrittenAction} to the tree. Parent actions will be created as necessary. @param child: A L{WrittenAction} to add to the tree. @return: Updated L{Task}.
set task = self
if end_message and start_message and length children == level at - 1 - 2
begin
comment Possibly t... | def _insert_action(self, node):
"""
Add a L{WrittenAction} to the tree.
Parent actions will be created as necessary.
@param child: A L{WrittenAction} to add to the tree.
@return: Updated L{Task}.
"""
task = self
if (
node.end_message and nod... | Python | jtatman_500k |
comment Implementing edge computing using TensorFlow Lite.
import tensorflow as tf
comment Use TensorFlow Lite for edge computing.
comment Perform ML inference on edge devices. | # Implementing edge computing using TensorFlow Lite.
import tensorflow as tf
# Use TensorFlow Lite for edge computing.
# Perform ML inference on edge devices.
| Python | flytech_python_25k |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu May 3 12:55:19 2018 @author: ksato
import urllib
function read_text
begin
set quotes = open string /Users/ksato/Desktop/MOOCS Study/OOP-python/movie_quotes.txt
set contents_of_file = read quotes
set formattedfile = replace contents_of_fil... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 3 12:55:19 2018
@author: ksato
"""
import urllib
def read_text():
quotes = open("/Users/ksato/Desktop/MOOCS Study/OOP-python/movie_quotes.txt")
contents_of_file = quotes.read()
formattedfile = contents_of_file.replace(' ', '')
prin... | Python | zaydzuhri_stack_edu_python |
function get_equality_constraint_scaling_factors self
begin
return none
end function | def get_equality_constraint_scaling_factors(self):
return None | Python | nomic_cornstack_python_v1 |
function setObservations self observations
begin
comment Turn list of observations into a dict (skipping out any scales which
comment are in the constant list)
set _observations = dict
for o in observations
begin
set level_tuple = call _level_tuple *o[0]
if level_tuple in _CONSTANT_SCALES
begin
continue
end
set dist_s... | def setObservations(self, observations):
# Turn list of observations into a dict (skipping out any scales which
# are in the constant list)
self._observations = {}
for o in observations:
level_tuple = ScaleManager._level_tuple(*o[0])
if level_tuple in ScaleManager... | Python | nomic_cornstack_python_v1 |
function sum x y
begin
set result = dict
set result at string s = x at string s * y at string m + x at string m * y at string s
set result at string m = x at string m * y at string m
return result
end function
function minus x y
begin
set result = dict
set result at string s = x at string s * y at string m - x at str... | def sum(x,y):
result={}
result['s'] = x ['s'] * y ['m'] + x ['m'] * y ['s']
result['m'] = x ['m'] * y ['m']
return result
def minus(x,y):
result={}
result['s'] = x ['s'] * y ['m'] - x ['m'] * y ['s']
result['m'] = x ['m'] * y ['m']
return result
def mul(x,y):
result=... | Python | zaydzuhri_stack_edu_python |
function RetrieveProject
begin
with open string projects.json as json_file
begin
set Projects = load json json_file
end
return Projects
end function | def RetrieveProject():
with open('projects.json') as json_file:
Projects = json.load(json_file)
return Projects | Python | nomic_cornstack_python_v1 |
string db_functions offers two functions: authenticate which compares a stored password hash that has been salted using the sha256 algorithm to a plaintext password. Function returns boolean check_passwords utilizes authenticate function and checks if password and username input are correct
import hashlib
from password... | """
db_functions offers two functions:
authenticate which compares a stored password
hash that has been salted using the sha256 algorithm
to a plaintext password. Function returns boolean
check_passwords utilizes authenticate function and checks if
password and username input are correct
"""
import ha... | Python | zaydzuhri_stack_edu_python |
function deriv self t endBehavior=string halt
begin
set tuple i u = call getSegment t endBehavior
if i < 0
begin
return list 0.0 * length milestones at 0
end
else
if i >= length milestones
begin
return list 0.0 * length milestones at - 1
end
return call mul difference self milestones at i + 1 milestones at i u 1.0 / ti... | def deriv(self,t,endBehavior='halt'):
i,u = self.getSegment(t,endBehavior)
if i<0: return [0.0]*len(self.milestones[0])
elif i>=len(self.milestones): return [0.0]*len(self.milestones[-1])
return vectorops.mul(self.difference(self.milestones[i+1],self.milestones[i],u),1.0/(self.times[i+1]-self.times[i])) | Python | nomic_cornstack_python_v1 |
function take_a_break
begin
import sys , traceback
call print_stack file=stdout
end function | def take_a_break():
import sys, traceback
traceback.print_stack( file = sys.stdout) | Python | nomic_cornstack_python_v1 |
function itkVectorIndexSelectionCastImageFilterVIUC2IUC2_Superclass_cast *args
begin
return call itkVectorIndexSelectionCastImageFilterVIUC2IUC2_Superclass_cast *args
end function | def itkVectorIndexSelectionCastImageFilterVIUC2IUC2_Superclass_cast(*args):
return _itkVectorIndexSelectionCastImageFilterPython.itkVectorIndexSelectionCastImageFilterVIUC2IUC2_Superclass_cast(*args) | Python | nomic_cornstack_python_v1 |
comment https://realpython.com/python-sql-libraries/
comment https://docs.python.org/3/library/sqlite3.html
comment serverless and self-contained! Hooray! Comes included in python, writes to a file.
import sqlite3
comment set up a connection
comment This special string means the database will be in memory
set connectio... | # https://realpython.com/python-sql-libraries/
# https://docs.python.org/3/library/sqlite3.html
import sqlite3 # serverless and self-contained! Hooray! Comes included in python, writes to a file.
# set up a connection
connection = sqlite3.connect(":memory:") # This special string means the database will be in memory... | Python | zaydzuhri_stack_edu_python |
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