code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function _systemjacuser self x0 ind=none
begin
set VARS = dictionary zip varslist array X at coords
for tuple i par in enumerate freepars
begin
set parsdict at par = X at params at i
end
return call _userjac self VARS parsdict
end function | def _systemjacuser(self, x0, ind=None):
VARS = dict(zip(self.varslist, array(X)[self.coords]))
for i, par in enumerate(self.freepars):
self.parsdict[par] = X[self.params[i]]
return self._userjac(self, VARS, self.parsdict) | Python | nomic_cornstack_python_v1 |
function add_nums nums
begin
set n_splt = split nums string ,
set n_int = list
for i in n_splt
begin
append n_int integer i
end
return sum n_int
end function | def add_nums(nums):
n_splt = nums.split(",")
n_int = []
for i in n_splt:
n_int.append(int(i))
return sum(n_int)
| Python | zaydzuhri_stack_edu_python |
function get_executions_by_type self type_name
begin
set request = call GetExecutionsByTypeRequest
set type_name = type_name
set response = call GetExecutionsByTypeResponse
call _call string GetExecutionsByType request response
set result = list
for x in executions
begin
append result x
end
return result
end function | def get_executions_by_type(
self, type_name: Text) -> List[metadata_store_pb2.Execution]:
request = metadata_store_service_pb2.GetExecutionsByTypeRequest()
request.type_name = type_name
response = metadata_store_service_pb2.GetExecutionsByTypeResponse()
self._call('GetExecutionsByType', request, ... | Python | nomic_cornstack_python_v1 |
function parse ascii_armor_message signing_key=none sender_pubkeys=none
begin
string Return a dict with parsed content (decrypted message, signature validation) :: { 'message': { 'fields': {}, 'content': str, }, 'signatures': [ {'pubkey': str, 'valid': bool, fields: {}} ] } :param ascii_armor_message: The Ascii Armor M... | def parse(ascii_armor_message: str, signing_key: Optional[SigningKey] = None,
sender_pubkeys: Optional[List[str]] = None) -> dict:
"""
Return a dict with parsed content (decrypted message, signature validation) ::
{
'message':
{
... | Python | jtatman_500k |
function avg self other weight=0.5
begin
if not call _sameSize other
begin
return
end
if weight < 0.0 or weight > 1.0
begin
return
end
set buf1 = buf * weight
set buf2 = buf * 1.0 - weight
set buf = as type buf1 dtype=DTYPE + as type buf2 dtype=DTYPE
end function | def avg(self, other, weight=.5):
if not self._sameSize(other):
return
if weight<0.0 or weight>1.0:
return
buf1 = (self.buf * weight)
buf2 = (other.buf * (1.0-weight))
self.buf = buf1.astype(dtype=DTYPE) + buf2.astype(dtype=DTYPE) | Python | nomic_cornstack_python_v1 |
import sys
import requests
from bs4 import BeautifulSoup as bs
set headers = dict string User-Agent string Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit 537.36 (KHTML, like Gecko) Chrome ; string Accept string text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8
set userID = argv at 1... | import sys
import requests
from bs4 import BeautifulSoup as bs
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit 537.36 (KHTML, like Gecko) Chrome",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8"
}
userID = sys.argv[1]
password = sys... | Python | zaydzuhri_stack_edu_python |
function __init__ self bid_prices ask_prices volumes params_file=string params.yaml
begin
if columns != columns
begin
raise call ValueError string Bid price and ask price columns mismatch
end
if columns != columns
begin
raise call ValueError string Price and volumes columns mismatch
end
set bid_prices = bid_prices
set ... | def __init__(self, bid_prices, ask_prices, volumes, params_file='params.yaml'):
if bid_prices.columns != ask_prices.columns:
raise ValueError('Bid price and ask price columns mismatch')
if volumes.columns != bid_prices.columns:
raise ValueError('Price and volumes columns mismatch... | Python | nomic_cornstack_python_v1 |
function comprobar_estado strvih
begin
if strvih == string POSITIVO or strvih == string NEGATIVO
begin
return string SI
end
else
begin
return string NO
end
end function | def comprobar_estado(strvih):
if (strvih == "POSITIVO" or strvih == "NEGATIVO"):
return "SI"
else:
return "NO" | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Spyder Editor This is a temporary script file.
set n = integer input
set screens = dict
for i in range 0 n
begin
set string = input
set arr = split string
if arr at 0 == string add-screen
begin
call add_screen arr
end
end
function add_screen arr
begin
set screen_name = integer arr ... | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
n = int(input())
screens = {}
for i in range(0,n):
string = input();
arr = string.split()
if arr[0] == "add-screen":
add_screen(arr)
def add_screen(arr):
screen_name = int(arr[1])
rows = int(arr[2]) + 1
... | Python | zaydzuhri_stack_edu_python |
function delete_nodes pks_to_delete
begin
from django.db import transaction
from django.db.models import Q
from aiida.backends.djsite.db import models
from aiida.orm import load_node
comment Delete also all children of the given calculations
comment Here I get a set of all pks to actually delete, including
comment all ... | def delete_nodes(pks_to_delete):
from django.db import transaction
from django.db.models import Q
from aiida.backends.djsite.db import models
from aiida.orm import load_node
# Delete also all children of the given calculations
# Here I get a set of all pks to actually delete, including
# al... | Python | nomic_cornstack_python_v1 |
import numpy as np
from scipy.stats import norm
from plots import plot_scatter
from plots import plot_function_values
function roulette_wheel_selection probabilities
begin
set p = uniform 0 sum probabilities
for i in range 0 length probabilities
begin
set p = p - probabilities at i
if p <= 0
begin
return i
end
end
end ... | import numpy as np
from scipy.stats import norm
from plots import plot_scatter
from plots import plot_function_values
def roulette_wheel_selection(probabilities):
p = np.random.uniform(0, sum(probabilities))
for i in range(0, len(probabilities)):
p -= probabilities[i]
if p <= 0:
re... | Python | zaydzuhri_stack_edu_python |
function plot_discontinuity self depth colormap=string tomo res=string i verbose=false
begin
comment - set up a map and colourmap -----------------------------------------
set m = call Basemap projection=string merc llcrnrlat=min grid_lat urcrnrlat=max grid_lat llcrnrlon=min grid_lon urcrnrlon=max grid_lon lat_ts=20 re... | def plot_discontinuity(self,depth,colormap='tomo',res='i',verbose=False):
#- set up a map and colourmap -----------------------------------------
m=Basemap(projection='merc',llcrnrlat=np.min(grid_lat),urcrnrlat=np.max(grid_lat),llcrnrlon=np.min(grid_lon),urcrnrlon=np.max(grid_lon),lat_ts=20,resolution=res)
... | Python | nomic_cornstack_python_v1 |
function construct_stacked_matrix array
begin
assert ndim == 4
set a_shape = shape
set filter_shape = tuple a_shape at 2 a_shape at 3
set stacked_shape = tuple a_shape at 0 * a_shape at 2 + 1 a_shape at 1 * a_shape at 3 + 1
comment logger.debug("Stacked array shape %s", stacked_shape)
set stacked = zeros stacked_shape
... | def construct_stacked_matrix(array):
assert(array.ndim == 4)
a_shape = array.shape
filter_shape = (a_shape[2], a_shape[3])
stacked_shape = (a_shape[0] * (a_shape[2] + 1),
a_shape[1] * (a_shape[3] + 1))
# logger.debug("Stacked array shape %s", stacked_shape)
stacked = np.... | Python | nomic_cornstack_python_v1 |
function client_with_edgelist_csv_loaded client
begin
set test_data = edgelist_csv_data at string karate
call load_csv_as_edge_data test_data at string csv_file_name dtypes=test_data at string dtypes vertex_col_names=list string 0 string 1 type_name=string
assert call get_graph_ids == list 0
return tuple client test_da... | def client_with_edgelist_csv_loaded(client):
test_data = data.edgelist_csv_data["karate"]
client.load_csv_as_edge_data(
test_data["csv_file_name"],
dtypes=test_data["dtypes"],
vertex_col_names=["0", "1"],
type_name="",
)
assert client.get_graph_ids() == [0]
return (cl... | Python | nomic_cornstack_python_v1 |
class Solution extends object
begin
function maxProfit self prices
begin
string :type prices: List[int] :rtype: int
if not prices
begin
return 0
end
set buy = prices at 0
set profit = 0
for i in prices at slice 1 : :
begin
if i - buy > profit
begin
set profit = i - buy
end
if i < buy
begin
set buy = i
end
end
return ... | class Solution(object):
def maxProfit(self, prices):
"""
:type prices: List[int]
:rtype: int
"""
if not prices:
return 0
buy = prices[0]
profit = 0
for i in prices[1:]:
if i-buy > profit:
profit... | Python | zaydzuhri_stack_edu_python |
function test_single_axis_bspline_first_derivative
begin
set control_points = array list tuple 0.0 0.0 0.0 tuple 1.0 0.0 0.0
set curve = call BSplineCurve control_points
for parameter in linear space 0.0 1.0 num=5
begin
set first_derivative = tuple parameter 0.0 0.0
call assert_allclose call first_derivative_at paramet... | def test_single_axis_bspline_first_derivative() -> None:
control_points = np.array([(0.0, 0.0, 0.0), (1.0, 0.0, 0.0)])
curve = BSplineCurve(control_points)
for parameter in np.linspace(0.0, 1.0, num=5):
first_derivative = (parameter, 0.0, 0.0)
np.testing.assert_allclose(
curve.fi... | Python | nomic_cornstack_python_v1 |
function bootScope paths recorder
begin
return call finalize dict string isList call isList ; string isMap call isMap ; string isSet call isSet ; string Bool call BoolGuard ; string Bytes call BytesGuard ; string Char call CharGuard ; string Double call DoubleGuard ; string Int call IntGuard ; string Str call StrGuard ... | def bootScope(paths, recorder):
return finalize({
u"isList": isList(),
u"isMap": isMap(),
u"isSet": isSet(),
u"Bool": BoolGuard(),
u"Bytes": BytesGuard(),
u"Char": CharGuard(),
u"Double": DoubleGuard(),
u"Int": IntGuard(),
u"Str": StrGuard(),
... | Python | nomic_cornstack_python_v1 |
function __str__ self
begin
return call get_string
end function | def __str__(self):
return self.get_string() | Python | nomic_cornstack_python_v1 |
from Telegram.sendmarkdown import SendMarkdown
import os
import pandas as pd
function check_farm_summary
begin
set req = read popen string chia farm summary
comment req = "Farming status: Farming\nTotal chia farmed: 0.0\nUser transaction fees: 0.0\nBlock rewards: 0.0\nLast height farmed: 0\nPlot count: 1\nTotal size of... | from Telegram.sendmarkdown import SendMarkdown
import os
import pandas as pd
def check_farm_summary():
req = os.popen("chia farm summary").read()
#req = "Farming status: Farming\nTotal chia farmed: 0.0\nUser transaction fees: 0.0\nBlock rewards: 0.0\nLast height farmed: 0\nPlot count: 1\nTotal size of plots: 1... | Python | zaydzuhri_stack_edu_python |
comment def longest_word(filename):
comment file= open(filename, 'r')
comment words = file.read().split()
comment max_len = len(max(words, key=len))
comment return [word for word in words if len(word) == max_len]
comment print(longest_word('read write.txt'))
function file_lengthy fname
begin
with open fname as f
begin
... | # def longest_word(filename):
# file= open(filename, 'r')
# words = file.read().split()
# max_len = len(max(words, key=len))
# return [word for word in words if len(word) == max_len]
#
# print(longest_word('read write.txt'))
def file_lengthy(fname):
with open( fname ) as f:
f... | Python | zaydzuhri_stack_edu_python |
function add_ambiguous_request db_session new_request_url
begin
set tuple new_ambiguous is_new = call db_get_or_create db_session AmbiguousRequest request=new_request_url
if is_new
begin
commit db_session
call out severity=INFO
return new_ambiguous
end
else
begin
call out severity=INFO
return none
end
end function | def add_ambiguous_request(db_session, new_request_url: str) -> Optional[AmbiguousRequest]:
new_ambiguous, is_new = db_get_or_create(db_session, AmbiguousRequest, request=new_request_url)
if is_new:
db_session.commit()
Logger() \
.event(category="database", action="ambiguous request ... | Python | nomic_cornstack_python_v1 |
function remove_uploaded_zip self
begin
string Remove the local and S3 zip file after uploading and updating.
comment Remove the uploaded zip from S3, because it is now registered..
call remove_from_s3 zip_path s3_bucket_name
comment Finally, delete the local copy our zip package
call remove_local_zip
end function | def remove_uploaded_zip(self):
"""
Remove the local and S3 zip file after uploading and updating.
"""
# Remove the uploaded zip from S3, because it is now registered..
self.zappa.remove_from_s3(self.zip_path, self.s3_bucket_name)
# Finally, delete the local copy our zip... | Python | jtatman_500k |
import json , time
import urllib.parse
import requests
set url_pattern = string https://udn.com/api/more?page={}&id=&channelId=1&cate_id=0&type=breaknews&totalRecNo=6561
set alldata = list
for page in range 1 11
begin
set url = format url_pattern page
set html = text
set data = loads html
set titles = data at string li... | import json, time
import urllib.parse
import requests
url_pattern = "https://udn.com/api/more?page={}&id=&channelId=1&cate_id=0&type=breaknews&totalRecNo=6561"
alldata = list()
for page in range(1, 11):
url = url_pattern.format(page)
html = requests.get(url).text
data = json.loads(html)
titles = data['l... | Python | zaydzuhri_stack_edu_python |
comment (r,q,d) = (rb2,rab,ra2) b<a
function square_number n
begin
if round n ^ 0.5 ^ 2 == n
begin
return true
end
else
begin
return false
end
end function
set progressive_square = list
set limit = power 10 12
for a in range 1 integer power limit 1 / 3 + 1
begin
for b in range 1 a
begin
for r in range 1 integer power ... | # (r,q,d) = (rb2,rab,ra2) b<a
def square_number(n):
if round(n ** 0.5) ** 2 == n:
return True
else:
return False
progressive_square = []
limit = pow(10,12)
for a in range(1,int(pow(limit,1/3))+1):
for b in range(1,a):
for r in range(1,int(pow(limit/(b*pow(a,3)),1/2))+1)... | Python | zaydzuhri_stack_edu_python |
import datetime as dt
import numpy as np
import pandas as pd
import json
from flask import Flask , render_template , jsonify , request , url_for , redirect , make_response
comment Flask Setup
set app = call Flask __name__
comment Database Setup
from flask_sqlalchemy import SQLAlchemy
decorator call route string /
comme... | import datetime as dt
import numpy as np
import pandas as pd
import json
from flask import (
Flask,
render_template,
jsonify,
request,
url_for,
redirect,
make_response)
#################################################
# Flask Setup
#########################################... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import scipy.io as sio
import scipy.stats as ss
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
string simulated annealing, 模拟退火法，既可用于寻找全局最优解，也可用于multi-modal分布的采样
seed 2
comment load data
set data = call loadmat string peaks.mat
print keys data
set XX = data at string XX
set Y... | import numpy as np
import scipy.io as sio
import scipy.stats as ss
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
'''simulated annealing, 模拟退火法，既可用于寻找全局最优解，也可用于multi-modal分布的采样'''
np.random.seed(2)
# load data
data = sio.loadmat('peaks.mat')
print(data.keys())
XX = data['XX']
YY = data['YY']... | Python | zaydzuhri_stack_edu_python |
function process_request request client
begin
comment type: (Dict, ConnectClient) -> Dict
comment Create the subscription in vendor system by calling the Vendor API to create subscription
comment TODO: implement the Vendor API call to create the subscription in Vendor portal
comment The following is the Mock API and cl... | def process_request(request, client):
# type: (Dict, ConnectClient) -> Dict
# Create the subscription in vendor system by calling the Vendor API to create subscription
# TODO: implement the Vendor API call to create the subscription in Vendor portal
# The following is the Mock API and c... | Python | nomic_cornstack_python_v1 |
import subprocess
import sys
import os
set i = 2
set command = string argv at 1
while i < length argv
begin
set command = command + string + string argv at i
set i = i + 1
end
call system command
set response = call raw_input string Press enter to close window: | import subprocess
import sys
import os
i=2
command=str(sys.argv[1])
while (i<len(sys.argv)):
command = command + " " + str(sys.argv[i])
i+=1
os.system(command)
response = raw_input("Press enter to close window: ")
| Python | zaydzuhri_stack_edu_python |
from django.shortcuts import render
comment Create your views here.
from booktest.models import BookInfo , HeroInfo
from datetime import date
comment 导入 F Q 对象 ，聚合Sum, Avg
from django.db.models import F , Q , Sum , Avg
string 演示增加数据 save和create
comment 创建一个记录对象
set book = call BookInfo
set btitle = string 西游记
comment d... | from django.shortcuts import render
# Create your views here.
from booktest.models import BookInfo, HeroInfo
from datetime import date
from django.db.models import F, Q, Sum, Avg # 导入 F Q 对象 ，聚合Sum, Avg
"""演示增加数据 save和create"""
book = BookInfo() # 创建一个记录对象
book.btitle = '西游记'
book.bpub_date = date(1991, 1, 1) # da... | Python | zaydzuhri_stack_edu_python |
function _parser_fsm self
begin
set basic = basic
set listener = listener
set draw = draw
set debug = debug
set tuple ESC CSI_C1 = tuple ESC CSI_C1
set OSC_C1 = OSC_C1
set SP_OR_GT = SP + string >
set NUL_OR_DEL = NUL + DEL
set CAN_OR_SUB = CAN + SUB
set ALLOWED_IN_CSI = join string list BEL BS HT LF VT FF CR
set OSC_... | def _parser_fsm(self):
basic = self.basic
listener = self.listener
draw = listener.draw
debug = listener.debug
ESC, CSI_C1 = ctrl.ESC, ctrl.CSI_C1
OSC_C1 = ctrl.OSC_C1
SP_OR_GT = ctrl.SP + ">"
NUL_OR_DEL = ctrl.NUL + ctrl.DEL
CAN_OR_SUB = ctrl.CAN... | Python | nomic_cornstack_python_v1 |
function read_2d fpath
begin
comment check_isfile(fpath)
set objs = list
set ids = list
with open fpath string r as f
begin
for ff in f
begin
set tuple id_position players_x players_y = call token_position ff
append objs tuple players_x players_y
append ids id_position
end
end
set objs = array objs
set ids = array id... | def read_2d(fpath):
#check_isfile(fpath)
objs = []
ids = []
with open(fpath, 'r') as f:
for ff in f:
id_position, players_x, players_y = token_position(ff)
objs.append((players_x, players_y))
ids.append(id_position)
objs = np.array(objs)
ids = np.array... | Python | nomic_cornstack_python_v1 |
comment real signature unknown
function from_bytes self *args **kwargs
begin
pass
end function | def from_bytes(self, *args, **kwargs): # real signature unknown
pass | Python | nomic_cornstack_python_v1 |
comment encoding=utf-8
import json
import utils
set __author__ = string lxf
import re
from scrapy import Request , Selector , Item , Field , log
from scrapy.contrib.spiders import CrawlSpider
from utils.database import get_mongodb
comment -----------------------------------define field------------------------
class Yah... | # encoding=utf-8
import json
import utils
__author__ = 'lxf'
import re
from scrapy import Request, Selector, Item, Field, log
from scrapy.contrib.spiders import CrawlSpider
from utils.database import get_mongodb
# -----------------------------------define field------------------------
class YahooCityItem(Item):... | Python | zaydzuhri_stack_edu_python |
function set_data_source inst channel=string Ch3
begin
if channel not in channels
begin
raise call ValueError format string Channel "{}" not allowed, must be in {} channel channels
end
write inst string dat:sou + channel
return
end function | def set_data_source(inst, channel: str = 'Ch3'):
if channel not in channels:
raise ValueError('Channel "{}" not allowed, must be in {}'.format(channel, channels))
inst.write('dat:sou ' + channel)
return | Python | nomic_cornstack_python_v1 |
function from_numpy array
begin
if is instance array ndarray and not flags at string C_CONTIGUOUS
begin
set array = call ascontiguousarray array
end
return tensor call from_numpy array
end function | def from_numpy(array):
if isinstance(array, np.ndarray) and not array.flags['C_CONTIGUOUS']:
array = np.ascontiguousarray(array)
return Tensor(Tensor_.from_numpy(array)) | Python | nomic_cornstack_python_v1 |
function __create_connection self
begin
if not _connection
begin
try
begin
set _connection = call connect keyword params
print string Connection successfully
return _connection
end
except Error as err
begin
if errno == ER_ACCESS_DENIED_ERROR
begin
print string Access denied! User or password is incorrect! Please check!... | def __create_connection(self):
if not self._connection:
try:
self._connection = connector.connect(**self.params)
print("Connection successfully")
return self._connection
except connector.Error as err:
if err.errno == errorco... | Python | nomic_cornstack_python_v1 |
function cmd_usage self args
begin
info string Usage:
call blue string $ otto %s %s % tuple call _name join string args
exit
end function | def cmd_usage(self, args):
info("Usage:")
blue(" $ otto %s %s" % (self._name(), ' '.join(args)))
sys.exit() | Python | nomic_cornstack_python_v1 |
function close self
begin
close controller
end function | def close(self):
self.controller.close() | Python | nomic_cornstack_python_v1 |
function main
begin
set n = integer input
comment Geração de vetor
while n < 2
begin
set n = integer input
end
set vetor = list 0 * n
set vetor at 0 = 0
set vetor at 1 = 1
for i in range 2 n
begin
set vetor at i = vetor at i - 1 + vetor at i - 2
end
print vetor
end function
if __name__ == string __main__
begin
call mai... | def main():
n = int(input())
#Geração de vetor
while n < 2:
n = int(input())
vetor = [0] * n
vetor[0] = 0
vetor[1] = 1
for i in range(2, n):
vetor[i] = vetor[i - 1] + vetor[i - 2]
print(vetor)
if __name__ == '__main__':
main()
| Python | zaydzuhri_stack_edu_python |
function train training validation X Y NN_model nan_exception=false
begin
if length training <= length validation
begin
print string Validation set bigger than training set, skipping it!
return string error
end
if DATA_AUGMENTATION
begin
set tuple addedX addedY = call data_augmentation training X Y
set added_indices = ... | def train(training, validation, X, Y, NN_model, nan_exception=False):
if len(training) <= len(validation):
print("Validation set bigger than training set, skipping it!")
return 'error'
if settings.DATA_AUGMENTATION:
addedX, addedY = data_augmentation(training, X, Y)
added_indic... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import os
function get_filelist path
begin
set filelist = list
for file in list directory path
begin
if ends with file string .csv
begin
insert filelist length filelist file
end
end
return filelist
end function
function converDateTime str_date
begin
set str_time = split str_date s... | import pandas as pd
import numpy as np
import os
def get_filelist(path):
filelist = list()
for file in os.listdir(path):
if file.endswith(".csv"):
filelist.insert(len(filelist), file)
return filelist
def converDateTime(str_date):
str_time = str_date.split(' ')[1]
str_time = s... | Python | zaydzuhri_stack_edu_python |
function _activate_upnp_coordinator self coordinator_constructor
begin
set _has_upnp_devices = true
set _upnp_coord = call coordinator_constructor self
return
end function | def _activate_upnp_coordinator(self, coordinator_constructor):
self._has_upnp_devices = True
self._upnp_coord = coordinator_constructor(self)
return | Python | nomic_cornstack_python_v1 |
function removeRemote self id
begin
if id not in remoteMap
begin
return
end
call destroy
set remote = remoteMap at id at 0
comment ??? check this
call detachNode
append freeRemotes remote
del remoteMap at id
if id in visList
begin
remove visList id
end
end function | def removeRemote(self, id) :
if id not in self.remoteMap : return
self.remoteMap[id][2].destroy()
remote = self.remoteMap[id][0]
remote.detachNode() # ??? check this
self.freeRemotes.append(remote)
del self.remoteMap[id]
if id in self.visList:
self.visList.remove(id) | Python | nomic_cornstack_python_v1 |
function has_access_permissions self *args **kwargs
begin
return true
end function | def has_access_permissions(self, *args, **kwargs):
return True | Python | nomic_cornstack_python_v1 |
import numpy as np
from decimal import *
set data = array list list 1 5 list 2 6 list 3 7 list 4 8 list 1.1 5.5 list 2.2 6.6 list 3.3 7.7 list 4.4 8.8 dtype=float
function Reconstitute_DataSets
begin
set X = list
set y = list
print string
for i in range 0 8
begin
set index_0 = data at tuple i 0
set index_1 = data at ... | import numpy as np
from decimal import *
data = np.array([[1, 5], [2, 6], [3, 7], [4, 8], [1.1, 5.5], [2.2, 6.6], [3.3, 7.7], [4.4, 8.8]], dtype=float)
def Reconstitute_DataSets():
X = [];
y = []
print('')
for i in range(0, 8):
index_0 = data[i, 0]
index_1 = data[i, 1]
... | Python | zaydzuhri_stack_edu_python |
function test_formatter5 self
begin
set tuple start end = call one_day
set x = call RiderTimeDelta start end dnf=true
assert equal call format_ride_time x show_special=false string
end function | def test_formatter5(self):
start, end = self.one_day()
x = RiderTimeDelta(start, end, dnf=True)
self.assertEqual(format_ride_time(x, show_special=False), "") | Python | nomic_cornstack_python_v1 |
function get_id request request_type
begin
if request_type == string post
begin
set id = POST at string id
end
else
begin
set id = GET at string id
end
set id = call rsplit string _
set id = integer id at 1
return id
end function | def get_id(request, request_type):
if request_type == "post":
id = request.POST['id']
else:
id = request.GET['id']
id = id.rsplit('_')
id = int(id[1])
return id | Python | nomic_cornstack_python_v1 |
function accuracy predictions targets
begin
comment PUT YOUR CODE HERE #
set correct = 0
for i in range length targets
begin
if predictions at i == targets at i
begin
set correct = correct + 1
end
end
set accuracy = correct / length targets
comment raise NotImplementedError
comment END OF YOUR CODE #
return accuracy
en... | def accuracy(predictions, targets):
########################
# PUT YOUR CODE HERE #
#######################
correct = 0
for i in range(len(targets)):
if(predictions[i] == targets[i]):
correct += 1
accuracy = correct/len(targets)
#raise NotImplementedError
########################
# E... | Python | nomic_cornstack_python_v1 |
function process_dataframe df
begin
if is instance df DataFrame
begin
set df2 = copy df
set required_columns = set literal string name string wkt string lower_limit string upper_limit
if not required_columns <= set columns
begin
raise call ValueError string DataFrame must contain columns 'name', 'wkt', 'lower_limit', '... | def process_dataframe(df):
if isinstance(df, pd.DataFrame):
df2 = df.copy()
required_columns = {'name', 'wkt', 'lower_limit', 'upper_limit'}
if not required_columns <= set(df2.columns):
raise ValueError("DataFrame must contain columns 'name', 'wkt', 'lower_limit', 'upper_limit'.... | Python | nomic_cornstack_python_v1 |
function _GetSpecificationStore cls format_category
begin
set specification_store = call FormatSpecificationStore
set remainder_list = list
for analyzer_helper in values _analyzer_helpers
begin
if not call IsEnabled
begin
continue
end
if format_category in format_categories
begin
set format_specification = call GetFor... | def _GetSpecificationStore(cls, format_category):
specification_store = specification.FormatSpecificationStore()
remainder_list = []
for analyzer_helper in cls._analyzer_helpers.values():
if not analyzer_helper.IsEnabled():
continue
if format_category in analyzer_helper.format_categori... | Python | nomic_cornstack_python_v1 |
comment an implementation of Eratosthenes' Sieve:
comment http://en.wikipedia.org/wiki/Sieve_of_Eratosthenes
comment Checks whether a number is prime or not
function _is_prime primes n
begin
for i in primes
begin
if n % i == 0
begin
return false
end
end
return true
end function
comment Loops through numbers and jumps b... | # an implementation of Eratosthenes' Sieve:
# http://en.wikipedia.org/wiki/Sieve_of_Eratosthenes
# Checks whether a number is prime or not
def _is_prime(primes, n):
for i in primes:
if n % i == 0:
return False
return True
# Loops through numbers and jumps back to the test files once one ... | Python | zaydzuhri_stack_edu_python |
comment 读取人物名称
comment f = open('name.txt')
comment data = f.read()
comment print(data.split('|'))
comment # 读取兵器名称
comment f2 = open('weapon.txt')
comment data2 = f2.read()
comment i = 1
comment for line in f2.readlines():
comment if i % 2 == 1:
comment print(line.strip('\n'))
comment i += 1
comment f3 = open('sanguo.... | # 读取人物名称
# f = open('name.txt')
# data = f.read()
# print(data.split('|'))
#
# # 读取兵器名称
# f2 = open('weapon.txt')
# data2 = f2.read()
# i = 1
# for line in f2.readlines():
# if i % 2 == 1:
# print(line.strip('\n'))
# i += 1
#
# f3 = open('sanguo.txt',encoding='GB18030')
# print(f3.read().replace('\n', '... | Python | zaydzuhri_stack_edu_python |
from dolfin import *
from constants import *
from channel_tools_new import *
import numpy as np
comment Define the mesh and ice sheet geometry ###
comment Maximum ice thickness
set h_max = 1500.0
comment Length of ice sheet
set length = 60000.0
comment 60km by 20km rectangular mesh
set mesh = call Mesh string sheet.xml... | from dolfin import *
from constants import *
from channel_tools_new import *
import numpy as np
### Define the mesh and ice sheet geometry ###
# Maximum ice thickness
h_max = 1500.
# Length of ice sheet
length = 60e3
# 60km by 20km rectangular mesh
mesh = Mesh("sheet.xml")
# Standard continuous function space for t... | Python | zaydzuhri_stack_edu_python |
function cli stage maas_url maas_key debug output_log
begin
if debug
begin
call setLevel DEBUG
end
set detail = dict string start call isoformat
set results = dict
set log_id = format string {}-{} string stage replace replace call isoformat string : string _ string . string _
set dt = call utcnow
set results at string... | def cli(stage, maas_url, maas_key, debug, output_log):
if debug:
log.setLevel(logging.DEBUG)
detail = {'start': datetime.utcnow().isoformat(), }
results = {}
log_id = '{}-{}'.format(str(stage), datetime.utcnow().isoformat().replace(':', '_').replace('.', '_'))
dt = datetime.utcnow()
resu... | Python | nomic_cornstack_python_v1 |
comment TODO typed actions callables
function __init__ self text font panel_widget engine text_shift=none on_ok=none on_cancel=none
begin
call __init__ transparent=true
set _on_ok = on_ok
set _on_cancel = on_cancel
set _panel = call Compound
call add_widget panel_widget
set _panel_size = call get_size engine
set window... | def __init__(self, text, font, panel_widget, engine, text_shift=None, on_ok=None, on_cancel=None): # TODO typed actions callables
super().__init__(transparent=True)
self._on_ok = on_ok
self._on_cancel = on_cancel
self._panel = Compound()
self._panel.add_widget(panel_widget)
_panel_size = panel_widget.get_... | Python | nomic_cornstack_python_v1 |
function flopViewer
begin
set allV = call allNodes string Viewer
set pV = allV at 0
set List = call selectedNodes
call selectAll
call invertSelection
try
begin
set n = call toNode string VIEWER_INPUT
if call Class == string Mirror
begin
call setValue not call value
for i in allV
begin
call setValue not call value + cal... | def flopViewer():
allV = nuke.allNodes('Viewer')
pV = allV[0]
List = nuke.selectedNodes()
nuke.selectAll()
nuke.invertSelection()
try:
n = nuke.toNode('VIEWER_INPUT')
if n.Class() == 'Mirror':
n['Vertical'].setValue(not n['Vertical'].value())
for i in allV... | Python | nomic_cornstack_python_v1 |
function test_sorting_multiple_contours
begin
set graph = dict 11 list 10 ; 10 list 5 7 9 ; 9 list 7 8 ; 8 list 2 ; 7 list 6 ; 6 list 2 ; 5 list 4 ; 4 list 3 ; 3 list 2 ; 2 list 0 1 ; 1 list ; 0 list
call run_toposort_multisolution_test 2 graph list list 2 0 list 2 1
call run_toposort_multisolution_test 9 graph list ... | def test_sorting_multiple_contours():
graph = {
11: [10],
10: [5, 7, 9],
9: [7, 8],
8: [2],
7: [6],
6: [2],
5: [4],
4: [3],
3: [2],
2: [0, 1],
1: [],
0: [],
}
run_toposort_multisolution_test(2, graph, [[2, 0], [2... | Python | nomic_cornstack_python_v1 |
function login username password expiresIn=86400 scope=string internal
begin
set url = call login_url
set payload = dict string client_id string c82SH0WZOsabOXGP2sxqcj34FxkvfnWRZBKlBjFS ; string expires_in expiresIn ; string grant_type string password ; string password password ; string scope scope ; string username us... | def login(username,password,expiresIn=86400,scope='internal'):
url = urls.login_url()
payload = {
'client_id': 'c82SH0WZOsabOXGP2sxqcj34FxkvfnWRZBKlBjFS',
'expires_in': expiresIn,
'grant_type': 'password',
'password': password,
'scope': scope,
'username': username
}
data = helper... | Python | nomic_cornstack_python_v1 |
function call_rvol self other_args
begin
set parser = call ArgumentParser add_help=false formatter_class=ArgumentDefaultsHelpFormatter prog=string rvol description=string Show rolling volatility portfolio vs benchmark
call add_argument string -p string --period type=str dest=string period default=string 1y choices=PERI... | def call_rvol(self, other_args: List[str]):
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="rvol",
description="Show rolling volatility portfolio vs benchmark",
)
parser.add_argument(
... | Python | nomic_cornstack_python_v1 |
function getJSONObject self json key
begin
set toReturn = dict
if json is not none
begin
set toReturn = get json key dict
end
return toReturn
end function | def getJSONObject(self, json, key):
toReturn = {}
if json is not None:
toReturn = json.get(key, {})
return toReturn | Python | nomic_cornstack_python_v1 |
function OptimizeMathIdentities self
begin
set addIdentity = compile string add [\w]*, 0
set subIdentity = compile string sub [\w]*, 0
set i = 0
while i < length lines
begin
if match lines at i != none or match lines at i != none
begin
del lines at i
end
else
begin
set i = i + 1
end
end
end function | def OptimizeMathIdentities(self):
addIdentity = re.compile("add [\w]*, 0")
subIdentity = re.compile("sub [\w]*, 0")
i=0
while i<len(self.lines):
if(addIdentity.match(self.lines[i])!=None or subIdentity.match(self.lines[i])!=None):
del(sel... | Python | nomic_cornstack_python_v1 |
import numpy as np
set myArr = zeros 5
print myArr
set myArr1 = ones 10
print myArr1
set myArr2 = array list 10 20 30 40 50 60 70 80 90 100
print myArr2
set myArr3 = array list 10 20 30 40 50 60 70 80 90 100 string Asher true
print myArr3
comment It creates an empty Array.
set myArr4 = call empty 5
print myArr4 | import numpy as np
myArr = np.zeros(5)
print(myArr)
myArr1 = np.ones(10)
print(myArr1)
myArr2 = np.array([10,20,30,40,50,60,70,80,90,100])
print(myArr2)
myArr3 = np.array([10,20,30,40,50,60,70,80,90,100,"Asher",True])
print(myArr3)
# It creates an empty Array.
myArr4 = np.empty(5)
print(myArr4) | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Fri Jul 12 13:38:17 2019 @author: rahul
import numpy as np
import os
from sklearn.metrics import confusion_matrix
import seaborn as sn
import tensorflow as tf
from sklearn.utils import shuffle
import matplotlib.pyplot as plt
import cv2
comment labelling of class names
set... | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 12 13:38:17 2019
@author: rahul
"""
import numpy as np
import os
from sklearn.metrics import confusion_matrix
import seaborn as sn
import tensorflow as tf
from sklearn.utils import shuffle
import matplotlib.pyplot as plt
import cv2
#labelling of class ... | Python | zaydzuhri_stack_edu_python |
import pygame
from farbkonstanten import constants as const
import random
call init
set tuple width height = tuple 500 500
set screen = call set_mode tuple width height
set clock = call Clock
set font = call SysFont string Helvetica 30
set blocksize = 10
set enemy_speed = 10
set enemy_count = 0
set enemy_max = 20
set e... | import pygame
from farbkonstanten import constants as const
import random
pygame.init()
width, height = 500, 500
screen = pygame.display.set_mode((width, height))
clock = pygame.time.Clock()
font = pygame.font.SysFont("Helvetica", 30)
blocksize = 10
enemy_speed = 10
enemy_count = 0
enemy_max = ... | Python | zaydzuhri_stack_edu_python |
function show_default self
begin
set formatter = call BaseHtmlFormatter config output is_blank=true
set content_type = string %s; charset=%s % tuple media_type config at string charset
call response_start b'200' b'OK' list tuple b'Content-Type' encode content_type string ascii tuple b'Cache-Control' b'max-age=300'
call... | def show_default(self) -> None:
formatter = html.BaseHtmlFormatter(self.config, self.output, is_blank=True)
content_type = "%s; charset=%s" % (formatter.media_type, self.config['charset'])
self.response_start(b"200", b"OK", [
(b"Content-Type", content_type.encode('ascii')),
... | Python | nomic_cornstack_python_v1 |
string Created on 2010/05/08 @author: banana
if __name__ == string __main__
begin
pass
end
set fp = open string C-large.in string r
set lines = read lines fp
set T = integer lines at 0
set fpout = open string C-large.txt string w
for t in range 1 T + 1
begin
set l = list comprehension integer x for x in split lines at ... | '''
Created on 2010/05/08
@author: banana
'''
if __name__ == '__main__':
pass
fp = open("C-large.in", "r")
lines = fp.readlines()
T = int(lines[0])
fpout = open("C-large.txt", "w")
for t in range(1, T+1):
l = [ int(x) for x in lines[t*2].split()]
#check if divisible
M = 22
... | Python | zaydzuhri_stack_edu_python |
function quota_create context project_id resource limit
begin
return call quota_create context project_id resource limit
end function | def quota_create(context, project_id, resource, limit):
return _get_dbdriver_instance().quota_create(context, project_id,
resource, limit) | Python | nomic_cornstack_python_v1 |
import os
import re
import csv
import json
import jieba
from util import get_word_to_ix
set SPLIT = 16000
function read_data_from_tsv_to_txt tsv_path path train=false
begin
set corpus = list
set txt_path = path
if train == true
begin
set train_path = string train_ + txt_path
set test_path = string test_ + txt_path
set... | import os
import re
import csv
import json
import jieba
from util import get_word_to_ix
SPLIT = 16000
def read_data_from_tsv_to_txt(tsv_path, path, train=False):
corpus = []
txt_path = path
if train == True:
train_path = 'train_' + txt_path
test_path = 'test_' + txt_path
train_cor... | Python | zaydzuhri_stack_edu_python |
function interpolated_distmod z cosmo=none dz=1e-05
begin
set z = call atleast_1d z
if min z < 0.0
begin
set msg = string all `z` must be greater or equal to 0.0.
assert call ValueError msg
end
if cosmo is none
begin
set cosmo = default_cosmo
end
set z_range = max z - min z
set n_sample = z_range / dz
comment require n... | def interpolated_distmod(z, cosmo=None, dz=1e-5):
z = np.atleast_1d(z)
if np.min(z)<0.0:
msg = ('all `z` must be greater or equal to 0.0.')
assert ValueError(msg)
if cosmo is None:
cosmo = default_cosmo
z_range = np.max(z) - np.min(z)
n_sample = z_range/dz
# require ... | Python | nomic_cornstack_python_v1 |
function test_tiled_grid_values self
begin
set xdim = 3
set ydim = 3
set array = reshape array range 1 10 tuple xdim ydim
set tiled_array = call tiled_grid array size=3
for value in array range 1 10
begin
set counts = tiled_array at where tiled_array == value
assert equal length counts xdim * ydim
end
end function | def test_tiled_grid_values(self):
xdim = 3
ydim = 3
array = np.arange(1, 10).reshape((xdim, ydim))
tiled_array = tiled_grid(array, size=3)
for value in np.arange(1, 10):
counts = tiled_array[np.where(tiled_array == value)]
self.assertEqual(len(counts), xdi... | Python | nomic_cornstack_python_v1 |
function SaveState self
begin
acquire _next_cache_lock
set metadata = dict string _current_cache list _current_cache ; string _used_cache list _used_cache ; string _uncached_files list _uncached_files ; string _next_cache_update list _next_cache_update
release _next_cache_lock
with open join path _cache_dir _CACHE_META... | def SaveState(self):
self._next_cache_lock.acquire()
metadata = {
'_current_cache': list(self._current_cache),
'_used_cache': list(self._used_cache),
'_uncached_files': list(self._uncached_files),
'_next_cache_update': list(self._next_cache_update)
... | Python | nomic_cornstack_python_v1 |
function process_part self part
begin
set content_type = call get_content_type
set filename = call get_filename
if content_type == string text/plain and not filename
begin
set text_content = text_content + call get_payload part
end
else
if content_type == string text/html
begin
set html_content = html_content + call ge... | def process_part(self, part):
content_type = part.get_content_type()
filename = part.get_filename()
if content_type == 'text/plain' and not filename:
self.text_content += self.get_payload(part)
elif content_type == 'text/html':
self.html_content += self.get_payload(part)
elif content_type == 'message/... | Python | nomic_cornstack_python_v1 |
function get_formated firstname lastname
begin
set full_name = firstname + string + lastname
return title full_name
end function
print call get_formated string aditi string jain | def get_formated(firstname, lastname):
full_name = firstname + ' ' + lastname
return full_name.title()
print(get_formated('aditi', 'jain'))
| Python | zaydzuhri_stack_edu_python |
function expiration_date self expiration_date
begin
set _expiration_date = expiration_date
end function | def expiration_date(self, expiration_date):
self._expiration_date = expiration_date | Python | nomic_cornstack_python_v1 |
function test_bin_larvaemutattion
begin
set larvae = array list list 0 0 0 0 0 0 0 0 list 1 1 1 1 0 0 0 0 list 0 0 0 0 1 1 1 1
set pos = array list list 0 3 5
set mode = string bin
set larvaemutation_function = call get_larvaemutation_function mode
set larvaemutated = call larvaemutation_function larvae pos seed=13
set... | def test_bin_larvaemutattion():
larvae = np.array([[0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 1, 1, 1]])
pos = np.array([[0, 3, 5]])
mode = 'bin'
larvaemutation_function = get_larvaemutation_function(mode)
larvaemut... | Python | nomic_cornstack_python_v1 |
while n > 10
begin
set n = integer input string dati un nr mai mic decat 10:
end
set a = list
print string introduceti n string elemente pentru vectorul creat
for i in range 0 n
begin
set q = integer input string Dati elementul:
extend a list q
end
print a
print string a) afiseaza pe ecran componentele tabloului la un... | while n>10:
n=int(input('dati un nr mai mic decat 10: '))
a=[]
print('introduceti ',n,' elemente pentru vectorul creat')
for i in range(0,n):
q=int(input('Dati elementul:'))
a.extend([q])
print(a)
print('a) afiseaza pe ecran componentele tabloului la un interval de 5 pozitii')
print(a[::5])
prin... | Python | zaydzuhri_stack_edu_python |
comment Tabuada
set num = integer input string Qual tabudada você quer saber?
print string - * 15
print string TABUADA
print string - * 15
print format string {} X 1 = {} num num * 1
print format string {} X 2 = {} num num * 2
print format string {} X 3 = {} num num * 3
print format string {} X 4 = {} num num * 4
print... | # Tabuada
num = int(input("Qual tabudada você quer saber? "))
print("-"*15)
print("TABUADA")
print("-"*15)
print("{} X 1 = {}".format(num, num * 1))
print("{} X 2 = {}".format(num, num * 2))
print("{} X 3 = {}".format(num, num * 3))
print("{} X 4 = {}".format(num, num * 4))
print("{} X 5 = {}".format(num, num * 5))
p... | Python | zaydzuhri_stack_edu_python |
function AskText question default=string title=string
begin
comment build the dialog
set dlg = call TextEntryDialog none string question title value=default
comment run it and capture answer
if call ShowModal != ID_OK
begin
call Destroy
return none
end
comment convert answer to string
set result = string call GetValue... | def AskText(question, default='', title=''):
# build the dialog
dlg = wx.TextEntryDialog(None, str(question), title, value=default)
if (dlg.ShowModal() != wx.ID_OK): # run it and capture answer
dlg.Destroy()
return None
result = str(dlg.GetValue()) # convert answer to string
retur... | Python | nomic_cornstack_python_v1 |
function getRandomDateString
begin
set year = 2017
set month = random integer 1 12
set day = random integer 1 28
return string year + string - + string month + string - + string day
end function | def getRandomDateString():
year = 2017
month = random.randint(1, 12)
day = random.randint(1, 28)
return str(year) + "-" + str(month) + "-" + str(day) | Python | nomic_cornstack_python_v1 |
comment languages = 'python,php,Ruby,Perl'
set lang_list = split languages string ,
set separator = string ,
join separator lang_list
print join separator lang_list
set poem = string It was nice day.
set new_poem = replace poem string nice string bad
print poem
print new_poem
set text = string hello, hello, helo, hello... | # languages = 'python,php,Ruby,Perl'
lang_list = languages.split(',')
separator = ','
separator.join(lang_list)
print(separator.join(lang_list))
poem = 'It was nice day.'
new_poem = poem.replace('nice', 'bad')
print(poem)
print(new_poem)
text = 'hello, hello, helo, hello'
print(text.count('hello'))
name = 'Billy Joe... | Python | zaydzuhri_stack_edu_python |
function graph
begin
comment returns an adjacensy matrix of a graph
set V = integer input string give the number of vertices
print string Type inn edges:
comment create list
set L = list comprehension list for i in range V
for i in range V
begin
set connections = input format string Type in all connected vertices to {... | def graph():
# returns an adjacensy matrix of a graph
V = int(input('give the number of vertices'))
print('Type inn edges:')
L = [[] for i in range(V)] # create list
for i in range(V):
connections = input('Type in all connected vertices to {}, use comma as delimiter'.format(i))
c = c... | Python | zaydzuhri_stack_edu_python |
function _call_command_method self name original_method args kwargs
begin
if call current_controller is not self
begin
set action = _direct_comm_call_action
if action == string warning
begin
if name not in _command_warned
begin
print format string Warning: direct call of command '{}' of thread '{}' from a different thr... | def _call_command_method(self, name, original_method, args, kwargs):
if threadprop.current_controller() is not self:
action=self._direct_comm_call_action
if action=="warning":
if name not in self._command_warned:
print("Warning: direct call of command ... | Python | nomic_cornstack_python_v1 |
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler , StandardScaler
from sklearn.linear_model import LogisticRegression
set df_wine = read csv string https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data header=none
set columns = li... | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler,StandardScaler
from sklearn.linear_model import LogisticRegression
df_wine = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data",header=None)
df_wine.columns = ['Cla... | Python | zaydzuhri_stack_edu_python |
function align_image src_im ref_im crop_list=none use_autocorr=true precision_fold=100 min_good_drifts=3 drift_diff_th=1.0 all_channels=_allowed_colors ref_all_channels=none drift_channel=string 488 correction_args=dict fitting_args=dict match_distance_th=2.0 verbose=true detailed_verbose=false
begin
from io_tools.lo... | def align_image(
src_im:np.ndarray,
ref_im:np.ndarray,
crop_list=None,
use_autocorr=True, precision_fold=100,
min_good_drifts=3, drift_diff_th=1.,
all_channels=_allowed_colors,
ref_all_channels=None,
drift_channel='488',
correction_args={},
fitting_args={},
match_distanc... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import collections
import subprocess
import time
import os
import errno
import threading
class Logger extends object
begin
set LoggingDir = string
set fd = none
set is_started = false
end class | #!/usr/bin/env python
import collections
import subprocess
import time
import os
import errno
import threading
class Logger(object):
LoggingDir = ""
fd = None
is_started = False | Python | zaydzuhri_stack_edu_python |
function resource_discovery_association_count self
begin
return get pulumi self string resource_discovery_association_count
end function | def resource_discovery_association_count(self) -> pulumi.Output[int]:
return pulumi.get(self, "resource_discovery_association_count") | Python | nomic_cornstack_python_v1 |
comment Created By: Evan
comment Created on: Sept. 2020
comment This program: Uses neopixels for traffic lights loop
from microbit import *
import neopixel
from random import randint
set np = call NeoPixel pin16 4
while true
begin
set np at 3 = tuple 0 255 0
show
sleep 1000
clear np
set np at 2 = tuple 255 255 0
show
s... | #Created By: Evan
#Created on: Sept. 2020
#This program: Uses neopixels for traffic lights loop
from microbit import *
import neopixel
from random import randint
np = neopixel.NeoPixel(pin16, 4)
while True:
np[3] = (0, 255, 0)
np.show()
sleep(1000)
np.clear()
np[2] = (255, 255, 0)
np.show()... | Python | zaydzuhri_stack_edu_python |
function get_global_embeddings self filenames embedding_size embedding_dir
begin
set sentences = list
print embedding_dir
if exists path join path embedding_dir string vocab_len.pkl
begin
set vocab_len_stored = load pickle open join path embedding_dir string vocab_len.pkl string rb
end
else
begin
set vocab_len_stored ... | def get_global_embeddings(self, filenames, embedding_size, embedding_dir):
sentences = []
print (embedding_dir)
if (os.path.exists(os.path.join(embedding_dir , 'vocab_len.pkl'))):
vocab_len_stored = pickle.load(open(os.path.join(embedding_dir , "vocab_len.pkl"), "rb"))
else:... | Python | nomic_cornstack_python_v1 |
function make_feature_function features_txt
begin
set rules_by_tag = dict
for tuple rule_i line in enumerate call splitlines
begin
set tuple which_word index_diff word which_tag = call parse_rule line
if which_tag not in rules_by_tag
begin
set rules_by_tag at which_tag = list
end
append rules_by_tag at which_tag tupl... | def make_feature_function(features_txt):
rules_by_tag = {}
for rule_i,line in enumerate(features_txt.splitlines()):
which_word, index_diff, word, which_tag = parse_rule(line)
if which_tag not in rules_by_tag:
rules_by_tag[which_tag] = []
rules_by_tag[which_tag].append((which_... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Wed Oct 28 13:17:12 2020 @author: Gebruiker
import numpy as np
function k_p2_func k_xx k_xy k_yy
begin
comment eq 9 Rühs
set theta = 0.5 * call arctan 2 * k_xy / k_xx - k_yy
comment eq 8 Rühs
set k_p2 = k_xx * sin theta ^ 2 - k_xy * sin 2 * theta + k_yy * cos theta ^ 2
re... | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 28 13:17:12 2020
@author: Gebruiker
"""
import numpy as np
def k_p2_func(k_xx, k_xy, k_yy):
theta = 0.5 * np.arctan( 2 * k_xy / (k_xx - k_yy)) # eq 9 Rühs
k_p2 = k_xx * np.sin(theta)**2 - k_xy * np.sin(2*theta) + k_yy * np.cos(theta)**2 # eq 8 Rühs
return ... | Python | zaydzuhri_stack_edu_python |
function bounding_box trajectory
begin
set box = max absolute trajectory axis=0
call cleanup_small_values box val=1.0 tol=1e-10
return box
end function | def bounding_box(trajectory):
box = np.max(np.abs(trajectory),axis=0)
cleanup_small_values(box,val=1.,tol=1e-10)
return box | Python | nomic_cornstack_python_v1 |
import datetime as dt
set arrival_time = call datetime 2019 5 10 19 45
print string Самолёт прибывает в arrival_time
comment Что делать, если хочется напечатать сообщение по-человечески, скажем: Сейчас 10:31?
comment Для этого существует метод strftime().
comment Его можно применить к любому объекту типа datetime и арг... | import datetime as dt
arrival_time = dt.datetime(2019, 5, 10, 19, 45)
print('Самолёт прибывает в', arrival_time)
# Что делать, если хочется напечатать сообщение по-человечески, скажем: Сейчас 10:31?
# Для этого существует метод strftime().
# Его можно применить к любому объекту типа datetime и аргументом задать формат... | Python | zaydzuhri_stack_edu_python |
string " Este codigo calcula los retornos mensuales de las 3000 acciones en periodicidad mensual para luego introducirlas al panel
import pandas as pd
import os
print string Se importaron las librerias necesarias
set n_stocks = 3000
change directory string C:\Users\usuario\Desktop\Maestrías\Maestria finanzas eafit\Tesi... | """"
Este codigo calcula los retornos mensuales de las 3000 acciones en periodicidad mensual
para luego introducirlas al panel
"""
import pandas as pd
import os
print ("Se importaron las librerias necesarias")
n_stocks=3000
os.chdir(u"C:\\Users\\usuario\\Desktop\\Maestr\xedas\\Maestria finanzas eafit\\Tesis_Network\... | Python | zaydzuhri_stack_edu_python |
function __init__ self parent pixmap width height
begin
call __init__
set parent = parent
set width = width
set height = height
set set_colour = call QColor 255 255 255
comment draw type is initially PIX (pixel)
set draw_type = string PIX
comment initialse the widget
call init_widget pixmap width height
set save_pixmap... | def __init__(self, parent, pixmap, width, height):
super(View, self).__init__()
self.parent = parent
self.width = width
self.height = height
self.set_colour = QtGui.QColor(255,255,255)
#draw type is initially PIX (pixel)
self.draw_type = 'PIX'
... | Python | nomic_cornstack_python_v1 |
function serialize element strip=false
begin
string A handy way to serialize an element to text.
set text = call tostring element method=string text encoding=string utf-8
if strip
begin
set text = strip text
end
return string text encoding=string utf-8
end function | def serialize(element, strip=False):
"""
A handy way to serialize an element to text.
"""
text = etree.tostring(element, method='text', encoding='utf-8')
if strip:
text = text.strip()
return str(text, encoding='utf-8') | Python | jtatman_500k |
function play_game grid instruction_list
begin
set location_x = instruction_list at 1
set location_y = instruction_list at 0
set tile = instruction_list at 2
if tile == 0
begin
set grid at location_x at location_y = string
end
else
if tile == 1
begin
set grid at location_x at location_y = string W
end
else
if tile == ... | def play_game(grid, instruction_list):
location_x = instruction_list[1]
location_y = instruction_list[0]
tile = instruction_list[2]
if tile == 0:
grid[location_x][location_y] = ' '
elif tile == 1:
grid[location_x][location_y] = 'W'
elif tile == 2:
grid[location_x][locati... | Python | nomic_cornstack_python_v1 |
function read_array file n_row n_col dtype
begin
set val = list
for ir in range 0 n_row
begin
try
begin
while 1
begin
set line = split read line file
if length line == 0 or line at 0 == string #
begin
continue
end
else
begin
break
end
end
end
except any
begin
call output string Array (%d, %d) reading failed! % tuple n... | def read_array( file, n_row, n_col, dtype ):
val = []
for ir in range( 0, n_row ):
try:
while 1:
line = file.readline().split()
if (len( line ) == 0) or (line[0] == "#"):
continue
else:
break
exce... | Python | nomic_cornstack_python_v1 |
from emd import one_dimension_emd
import numpy as np
from scipy.signal import argrelextrema
import matplotlib.pyplot as plt
import sys
from smooth import gaussian_smooth
from smooth import spline_smooth
function load_data filename
begin
with open filename string r as f
begin
set lines = read lines f
set datalist = list... | from emd import one_dimension_emd
import numpy as np
from scipy.signal import argrelextrema
import matplotlib.pyplot as plt
import sys
from smooth import gaussian_smooth
from smooth import spline_smooth
def load_data(filename):
with open(filename,'r') as f:
lines = f.readlines()
datalist = []
... | Python | zaydzuhri_stack_edu_python |
function view_addNode self user cTag nTag pkg exe args=string name=string namespace=string
begin
try
begin
call addNode nTag pkg exe args name namespace
end
except KeyError
begin
raise call InvalidRequest format string Can not add Node, because Container {0} does not exist. cTag
end
end function
comment TODO: Return ... | def view_addNode(self, user, cTag, nTag, pkg, exe, args='', name='',
namespace=''):
try:
user.containers[cTag].addNode(nTag, pkg, exe, args, name, namespace)
except KeyError:
raise InvalidRequest('Can not add Node, because Container {0} '
... | Python | nomic_cornstack_python_v1 |
function Texture self
begin
set s = texture
assert s in range 1 6 msg string Texture score out of bounds.
if s == 1
begin
return string Non-Solid / Ground Glass Opacity Texture
end
else
if s == 2
begin
return string Non-Solid or Mixed Texture
end
else
if s == 3
begin
return string Part Solid or Mixed Texture
end
else
i... | def Texture(self):
s = self.texture
assert s in range(1,6), "Texture score out of bounds."
if s == 1: return 'Non-Solid / Ground Glass Opacity Texture'
elif s == 2: return 'Non-Solid or Mixed Texture'
elif s == 3: return 'Part Solid or Mixed Texture'
elif s == 4: return... | Python | nomic_cornstack_python_v1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.