code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function test_datetime_naive self
begin
assert equal dumps list call datetime 2000 1 1 2 3 4 123 b'["2000-01-01T02:03:04.123"]'
end function | def test_datetime_naive(self):
self.assertEqual(
orjson.dumps([datetime.datetime(2000, 1, 1, 2, 3, 4, 123)]),
b'["2000-01-01T02:03:04.123"]',
) | Python | nomic_cornstack_python_v1 |
function pay drink
begin
set qtr_pay = integer input string How many quarters?
set dime_pay = integer input string How many dimes?
set nickel_pay = integer input string How many nickels?
set penny_pay = integer input string How many pennies?
set payment_given = qtr_pay * qtr + dime_pay * dime + nickel_pay * nickel + pe... | def pay(drink):
qtr_pay = int(input("How many quarters? "))
dime_pay = int(input("How many dimes? "))
nickel_pay = int(input(" How many nickels? "))
penny_pay = int(input("How many pennies? "))
payment_given = (qtr_pay * qtr) + (dime_pay * dime) + (nickel_pay * nickel) + (penny_pay * penny)
prin... | Python | nomic_cornstack_python_v1 |
import torch
import torch.nn as nn
comment L2 Loss
comment L2Loss(outputs, targets)
comment outputs -> shape BATCH_SIZE x NUM_CLASSES
comment targets -> shape BATCH_SIZE x NUM_CLASSES
class L2Loss
begin
comment Constructor
function __init__ self reduction=none alpha=1.0
begin
set default_reduction = string mean
if redu... | import torch
import torch.nn as nn
#
# L2 Loss
# L2Loss(outputs, targets)
# outputs -> shape BATCH_SIZE x NUM_CLASSES
# targets -> shape BATCH_SIZE x NUM_CLASSES
#
class L2Loss():
# Constructor
def __init__(self, reduction=None, alpha=1.0):
default_reduction = 'mean'
if red... | Python | zaydzuhri_stack_edu_python |
function eam_embed self
begin
return call _parse_params_section string EAM-Embed _parse_embed_line
end function | def eam_embed(self):
return self._parse_params_section("EAM-Embed", self._parse_embed_line) | Python | nomic_cornstack_python_v1 |
function __gt__ self other
begin
if _strength > strength
begin
return true
end
return false
end function | def __gt__(self, other):
if self._strength > other.strength:
return True
return False | Python | nomic_cornstack_python_v1 |
function logp self value
begin
set p_trans = p_trans
set p_t0 = p_t0
comment We need a the probability of the next state given the current state P(x_t | x_t-1)
comment Index into trans matrix to generate categorical probabilities for the next point which is based on the
comment previous point (except the last)
set p_t ... | def logp(self, value):
p_trans = self.p_trans
p_t0 = self.p_t0
# We need a the probability of the next state given the current state P(x_t | x_t-1)
# Index into trans matrix to generate categorical probabilities for the next point which is based on the
# previous point (except t... | Python | nomic_cornstack_python_v1 |
import datetime
while true
begin
set time = string format time call utcnow string %H:%M:%S.%f
end | import datetime
while True:
time = datetime.datetime.utcnow().strftime('%H:%M:%S.%f') | Python | zaydzuhri_stack_edu_python |
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
import Tkinter as tk
set top = call Tk
set F = call Frame top
ca... | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
import Tkinter as tk
top=tk.Tk()
F=tk.Frame(top)
F.pack(fi... | Python | zaydzuhri_stack_edu_python |
function execute_string self sql_text remove_comments=false return_cursors=true
begin
set ret = list
if PY2
begin
set stream = call StringIO if expression is instance sql_text str then decode sql_text string utf-8 else sql_text
end
else
begin
set stream = call StringIO sql_text
end
for tuple sql is_put_or_get in call ... | def execute_string(self, sql_text,
remove_comments=False,
return_cursors=True):
ret = []
if PY2:
stream = StringIO(sql_text.decode('utf-8') if isinstance(
sql_text, str) else sql_text)
else:
stream = StringIO(s... | Python | nomic_cornstack_python_v1 |
comment Crear variables y asignarles un valor
set texto = string Máster en Python
set texto2 = string con Víctor Robles
set numero = 45
set decimal = 6.7
comment Mostrar el valor de las variables
print texto
print texto2
print numero
print decimal
print string -----------------------
comment Sustituir el valor de algun... | # Crear variables y asignarles un valor
texto = "Máster en Python"
texto2 = "con Víctor Robles"
numero = 45
decimal = 6.7
# Mostrar el valor de las variables
print(texto)
print(texto2)
print(numero)
print(decimal)
print("-----------------------")
# Sustituir el valor de algunas variables / reasignando valores
num... | Python | zaydzuhri_stack_edu_python |
function has_been_modified self
begin
return _has_been_modified
end function | def has_been_modified(self):
return self._has_been_modified | Python | nomic_cornstack_python_v1 |
function _validate_config cls config
begin
return config
end function | def _validate_config(cls, config):
return config | Python | nomic_cornstack_python_v1 |
function _push_with_children_to_stack self formula **kwargs
begin
comment Deal with quantifiers
if call is_quantifier
begin
comment 1. We invoke the relevant function (walk_exists or
comment walk_forall) to print the formula
set fun = functions at call node_type
set res = call fun formula args=none keyword kwargs
comme... | def _push_with_children_to_stack(self, formula, **kwargs):
# Deal with quantifiers
if formula.is_quantifier():
# 1. We invoke the relevant function (walk_exists or
# walk_forall) to print the formula
fun = self.functions[formula.node_type()]
res = fun(f... | Python | nomic_cornstack_python_v1 |
from typing import List
class Solution
begin
function maxProfit self prices
begin
if not prices or length prices == 1
begin
return 0
end
else
comment 股票价格一直在降的情况
if sorted prices reverse=true == prices
begin
return 0
end
set max_profit = 0
set acculated_profit = 0
set low = prices at 0
for p in prices at slice : - 1 :... | from typing import List
class Solution:
def maxProfit(self, prices: List[int]) -> int:
if not prices or len(prices) == 1:
return 0
# 股票价格一直在降的情况
elif sorted(prices, reverse=True) == prices:
return 0
max_profit = 0
acculated_profit = 0
low = p... | Python | zaydzuhri_stack_edu_python |
import streamlit as st
import pandas as pd
import numpy as np
from sklearn import svm
from sklearn import metrics
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB
function main
begin
set feat_list = list
set df = read csv string diabetes.csv
from s... | import streamlit as st
import pandas as pd
import numpy as np
from sklearn import svm
from sklearn import metrics
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB
def main():
feat_list=[]
df=pd.read_csv('diabetes.csv')
from ... | Python | zaydzuhri_stack_edu_python |
function getFuelMass self
begin
return sum generator expression call getFuelMass for c in self
end function | def getFuelMass(self):
return sum((c.getFuelMass() for c in self)) | Python | nomic_cornstack_python_v1 |
comment 圧縮した文字列 t に対して len(t) - 1 が答え
from itertools import groupby
set groups = list
set uniquekeys = list
for tuple k g in group by s
begin
append groups list g
append uniquekeys k
end
comment print(groups)
comment print(uniquekeys)
print length uniquekeys - 1 | # 圧縮した文字列 t に対して len(t) - 1 が答え
from itertools import groupby
groups = []
uniquekeys = []
for k, g in groupby(s):
groups.append(list(g))
uniquekeys.append(k)
# print(groups)
# print(uniquekeys)
print(len(uniquekeys) - 1) | Python | zaydzuhri_stack_edu_python |
import math
set diferenca_max = 0
for angulo in range 0 91 1
begin
set senbhas = 4 * angulo * 180 - angulo / 40500 - angulo * 180 - angulo
set senpyth = sin angulo
set diferenca = absolute senpyth - senbhas
print diferenca
if diferenca > diferenca_max
begin
set diferenca_max = diferenca
end
end
print diferenca_max | import math
diferenca_max = 0
for angulo in range(0,91,1):
senbhas = (4*angulo*(180-angulo))/(40500-(angulo*(180-angulo)))
senpyth = math.sin(angulo)
diferenca = abs(senpyth-senbhas)
print(diferenca)
if diferenca > diferenca_max:
diferenca_max = diferenca
print(diferenca_max)
| Python | zaydzuhri_stack_edu_python |
function calculate n m parVicinities sentVicinities
begin
global _N
global _M
global _euclidean
if n <= _N and m <= _M
begin
return
end
set _N = n
set _M = m
set _euclidean = call ndarray n * m dtype=list tuple string x uint16 tuple string y uint16 tuple string euclidean float16
comment the next position to be filled i... | def calculate(n, m, parVicinities, sentVicinities):
global _N
global _M
global _euclidean
if (n <= _N) and (m <= _M):
return
_N = n
_M = m
_euclidean = numpy.ndarray(n * m,
dtype=[('x', numpy.uint16), ('y', numpy.uint16), ('euclidean', numpy.float16)])
... | Python | nomic_cornstack_python_v1 |
function __init__ self frame=1
begin
set _frame = frame
set _ticks = list
end function | def __init__(self, frame=1):
self._frame = frame
self._ticks = [] | Python | nomic_cornstack_python_v1 |
string Plots a values from the IMU along with a rolling average of the previous N values.
import collections
import random
import time
import numpy as np
import matplotlib.pyplot as plt
from devices.imu import IMU
set SERIAL_DEV = string /dev/ttyUSB0
set SERIAL_BAUD = 57600
set DATA_POINTS = 150
set AVG_COUNT = 17
set ... | """ Plots a values from the IMU along with a rolling average of the previous N values."""
import collections
import random
import time
import numpy as np
import matplotlib.pyplot as plt
from devices.imu import IMU
SERIAL_DEV = '/dev/ttyUSB0'
SERIAL_BAUD = 57600
DATA_POINTS = 150
AVG_COUNT = 17
prev_data_points = coll... | Python | zaydzuhri_stack_edu_python |
function run self
begin
while not _is_terminated
begin
debug string Start in LoadImageAgent.
set start_time = time
call load_images
sleep max _check_interval - time - start_time 0
debug string End in LoadImageAgent.
end
end function | def run(self) -> None:
while not self._is_terminated:
logger.debug("Start in LoadImageAgent.")
start_time = time.time()
self.load_images()
time.sleep(max(self._check_interval - (time.time() - start_time), 0))
logger.debug("End in LoadImageAgent.") | Python | nomic_cornstack_python_v1 |
function iter_file infile
begin
with call open_zipped infile as bob
begin
set out = dict
set nexts = string
for line in bob
begin
set f = split right strip line string
if not nexts
begin
set nexts = f at 1
set out at f at 1 = list tuple f at 0 decimal f at 3
continue
end
if f at 1 == nexts
begin
append out at f at 1 ... | def iter_file(infile):
with open_zipped(infile) as bob:
out = {}
nexts = ''
for line in bob:
f = line.rstrip().split('\t')
if not nexts:
nexts = f[1]
out[f[1]] = [(f[0], float(f[3]))]
continue
if f[1] == ne... | Python | nomic_cornstack_python_v1 |
function __init__ self n=4
begin
set n = n
set nodes_generated = 0
set frontier = list
set explored = list
end function | def __init__(self, n=4):
self.n = n
self.nodes_generated = 0
self.frontier = []
self.explored = [] | Python | nomic_cornstack_python_v1 |
string Install the following requirements into your virtual environemnt `pip install click redis` Usage: To load data into redis python redis_dump.py load [filepath] To dump data into redis python redis_dump.py dump [filepath] --search '*txt'
from rejson import Client , Path
import logging
function main action filepath... | """
Install the following requirements into your virtual environemnt
`pip install click redis`
Usage:
To load data into redis
python redis_dump.py load [filepath]
To dump data into redis
python redis_dump.py dump [filepath] --search '*txt'
"""
from rejson import Client, Path
import logging
def main(action, filepath,... | Python | zaydzuhri_stack_edu_python |
async function process inbox
begin
async function message_loop
begin
set tuple msg rc = await call receive
call reply string Got { msg }
return await call message_loop
end function
comment start the loop
return await call message_loop
end function | async def process(inbox: MailboxProcessor[Tuple[int, AsyncReplyChannel[str]]]):
async def message_loop() -> None:
msg, rc = await inbox.receive()
rc.reply(f"Got {msg}")
return await message_loop()
# start the loop
return await message_loop() | Python | nomic_cornstack_python_v1 |
function director self
begin
return am_i_director
end function | def director(self):
return(self.am_i_director) | Python | nomic_cornstack_python_v1 |
function test_transfers_load network_dir network_date
begin
set gtfs_feed = call get_gtfs_feed network_dir network_date
set out_dir = join path EXAMPLE_DIR string output string test_gtfs_transfer_load
try
begin
make directories out_dir
end
except OSError
begin
if not is directory path out_dir
begin
raise
end
end
set tr... | def test_transfers_load(network_dir, network_date):
gtfs_feed = get_gtfs_feed(network_dir, network_date)
out_dir = os.path.join(EXAMPLE_DIR, 'output', 'test_gtfs_transfer_load')
try:
os.makedirs(out_dir)
except OSError:
if not os.path.isdir(out_dir):
raise
transfers = Tra... | Python | nomic_cornstack_python_v1 |
function request self token
begin
pass
end function | def request(self, token):
pass | Python | nomic_cornstack_python_v1 |
import tkinter as tk
from tkinter import *
import tkinter.messagebox
set trace = 0
set TITLE_FONT = tuple string Helvetica 22 string bold
comment Creates the canvas for the shapes
set canvas = call Canvas width=800 height=800
class SampleApp extends Tk
begin
function __init__ self *args **kwargs
begin
call __init__ sel... | import tkinter as tk
from tkinter import *
import tkinter.messagebox
trace = 0
TITLE_FONT = ("Helvetica", 22, "bold")
#Creates the canvas for the shapes
canvas = Canvas(width=800, height=800)
class SampleApp(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
... | Python | zaydzuhri_stack_edu_python |
function get_event_type self event_payload
begin
return event_payload at METASTOCK_EVENT_TYPE_KEY
end function | def get_event_type(self, event_payload: dict):
return event_payload[METASTOCK_EVENT_TYPE_KEY] | Python | nomic_cornstack_python_v1 |
function test_detection_learner_init od_detection_dataset
begin
set learner = call DetectionLearner od_detection_dataset
assert type learner == DetectionLearner
end function | def test_detection_learner_init(od_detection_dataset):
learner = DetectionLearner(od_detection_dataset)
assert type(learner) == DetectionLearner | Python | nomic_cornstack_python_v1 |
function count_neighbour seq_list sim_cutoff=0.8
begin
comment [sequence] = number of neighbours.
set d_count_neighbour = dict
set seq_list_len = length seq_list
for i in range seq_list_len
begin
set pepi = seq_list at i
for j in range i seq_list_len
begin
set pepj = seq_list at j
set count = 0
if call is_similar pepi... | def count_neighbour(seq_list, sim_cutoff=0.80):
d_count_neighbour = {} # [sequence] = number of neighbours.
seq_list_len = len(seq_list)
for i in range(seq_list_len):
pepi = seq_list[i]
for j in range(i, seq_list_len):
pepj = seq_list[j]
count = 0
if (is_... | Python | nomic_cornstack_python_v1 |
function make_charge_scalar spectrum_in
begin
if spectrum_in is none
begin
return none
end
set spectrum = clone spectrum_in
comment Avoid pyteomics ChargeList
if is instance get spectrum string charge none list
begin
set string charge integer get spectrum string charge at 0
end
return spectrum
end function | def make_charge_scalar(spectrum_in: SpectrumType) -> SpectrumType:
if spectrum_in is None:
return None
spectrum = spectrum_in.clone()
# Avoid pyteomics ChargeList
if isinstance(spectrum.get("charge", None), list):
spectrum.set("charge", int(spectrum.get("charge")[0]))
return spect... | Python | nomic_cornstack_python_v1 |
import RPi.GPIO as GPIO
import time
call setmode BCM
setup GPIO 10 IN
setup GPIO 4 IN
comment Upon entering, beam 1 is broken before beam 2
set first = false
set second = false
set direction = string empty
set count = 0
while true
begin
if input 4 == 0
begin
set first = true
set direction = string exit
end
if input 10 ... | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(10, GPIO.IN)
GPIO.setup(4, GPIO.IN)
#Upon entering, beam 1 is broken before beam 2
first = False
second = False
direction = "empty"
count = 0
while True:
if GPIO.input(4) == 0:
first = True
direction = "exit"
if GPIO.input(... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding:UTF-8
import hashlib
import hmac
set sk = string sk
set msg = string 2
function get_authorization sk msg
begin
set hashing = hex digest call new sk msg sha1
return hashing
end function | #!/usr/bin/env python
#coding:UTF-8
import hashlib
import hmac
sk = "sk"
msg = "2"
def get_authorization(sk, msg):
hashing = hmac.new(sk, msg, hashlib.sha1).hexdigest()
return hashing
| Python | zaydzuhri_stack_edu_python |
comment Script con los metodos de Back-End
from datetime import datetime
from taller_1.models import *
from django.db.models import Count
import random
import gzip
import pickle
from taller_1.models import User_info , Artist , Homologacion_user , Homologacion_artist , Ratings , RatingTemporal
import numpy as np
import ... | # Script con los metodos de Back-End
from datetime import datetime
from taller_1.models import *
from django.db.models import Count
import random
import gzip
import pickle
from taller_1.models import User_info, Artist, Homologacion_user, Homologacion_artist, Ratings, RatingTemporal
import numpy as np
import pand... | Python | zaydzuhri_stack_edu_python |
function test_empty_context get_input
begin
set inp = get_input
set out = join string call contextual_map keyword inp
comment quantifier == all
set exp = string x * length inp at string iterable
if inp at string quantifier == any
begin
set exp = inp at string iterable
end
assert out == exp
end function | def test_empty_context(get_input):
inp = get_input
out = ''.join(contextual_map(**inp))
exp = 'x' * len(inp['iterable']) # quantifier == all
if inp['quantifier'] == any:
exp = inp['iterable']
assert out == exp | Python | nomic_cornstack_python_v1 |
from cryptography.fernet import Fernet
function callKey
begin
with open string filekey.key string rb as filekey
begin
set key = read filekey
end
set fernet = call Fernet key
return fernet
end function
function encrypt flpath
begin
set fernet = call callKey
with open flpath string rb as file
begin
set original = read fi... | from cryptography.fernet import Fernet
def callKey():
with open('filekey.key', 'rb') as filekey:
key = filekey.read()
fernet = Fernet(key)
return fernet
def encrypt(flpath):
fernet=callKey()
with open(flpath, 'rb') as file:
original = file.read()
encrypted = fernet.encrypt(ori... | Python | zaydzuhri_stack_edu_python |
function types self
begin
set count = call c_ulonglong 0
set type_list = call BNGetPlatformTypes handle count
set result = dict
for i in call xrange 0 value
begin
set name = call _from_core_struct name
set result at name = type call BNNewTypeReference type
end
call BNFreeTypeList type_list value
return result
end func... | def types(self):
count = ctypes.c_ulonglong(0)
type_list = core.BNGetPlatformTypes(self.handle, count)
result = {}
for i in xrange(0, count.value):
name = types.QualifiedName._from_core_struct(type_list[i].name)
result[name] = types.Type(core.BNNewTypeReference(type_list[i].type))
core.BNFreeTypeList(ty... | Python | nomic_cornstack_python_v1 |
import random
import copy
comment Hat Class
class Hat
begin
function __init__ self **kwargs
begin
set balls_dict = dictionary
set contents = list
update balls_dict kwargs
if balls_dict == dict or sum values balls_dict < 1
begin
print string Must enter at least one ball.
end
else
begin
for tuple k v in items balls_dict... | import random
import copy
# Hat Class
class Hat:
def __init__(self, **kwargs):
self.balls_dict = dict()
self.contents = list()
self.balls_dict.update(kwargs)
if self.balls_dict == {} or sum(self.balls_dict.values()) < 1:
print('Must enter at least one ball.')
e... | Python | zaydzuhri_stack_edu_python |
function bug_fixing_recency br prev_reports
begin
set most_rr = call most_recent_report prev_reports
if br and most_rr
begin
return 1 / decimal call get_months_between fixdate fixdate + 1
end
return 0
end function | def bug_fixing_recency(br, prev_reports):
most_rr = most_recent_report(prev_reports)
if br and most_rr:
return 1 / float(
get_months_between(br.fixdate, most_rr.fixdate) + 1
)
return 0 | Python | nomic_cornstack_python_v1 |
import config
import glob
import tensorflow as tf
import re
import cv2
import numpy as np
comment 含中文路径读取图片方法
function cv_imread filepath
begin
set img = call imdecode call fromfile filepath dtype=uint8 - 1
return img
end function
comment 把数据打包，转换成tfrecords格式，以便后续高效读取
function convert_to_tfrecords
begin
set writer = ca... | import config
import glob
import tensorflow as tf
import re
import cv2
import numpy as np
#含中文路径读取图片方法
def cv_imread(filepath):
img = cv2.imdecode(np.fromfile(filepath,dtype=np.uint8),-1)
return img
#把数据打包，转换成tfrecords格式，以便后续高效读取
def convert_to_tfrecords():
writer = tf.python_io.TFRecordWriter('./data.tf... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: UTF-8 -*-
string @author:liux @time:2020/07/23 @func: 创建数据样本、简单示例,过滤网站的恶意留言
import numpy as np
class SimpleBayes
begin
decorator staticmethod
function create_dataset
begin
set postingList = list list string my string dog string has string flea string problems string help string please list string ma... | # -*- coding: UTF-8 -*-
"""
@author:liux
@time:2020/07/23
@func: 创建数据样本、简单示例,过滤网站的恶意留言
"""
import numpy as np
class SimpleBayes:
@staticmethod
def create_dataset():
postingList = [['my', 'dog', 'has', 'flea', 'problems', 'help', 'please'],
['maybe', 'not', 'take', 'him', 'to',... | Python | zaydzuhri_stack_edu_python |
function move l dx dy
begin
global x y
for _ in range 1 l + 1
begin
set y = y + dy
set x = x + dx
if tuple x y in memo
begin
return true
end
else
begin
add memo tuple x y
end
end
return false
end function
set memo = set
set s = split input string ,
set tuple x y = tuple 0 0
comment north
set d = 0
for ss in s
begin
set... | def move(l,dx,dy):
global x,y
for _ in range(1, l+1):
y += dy
x += dx
if (x,y) in memo: return True
else: memo.add((x,y))
return False
memo = set()
s = input().split(", ")
x,y = 0,0
d = 0 #north
for ss in s:
t = ss[0]
l = int(ss[1:])
tl = t is 'L'
if d is 0: d = 1 if tl else 2
elif d is 1: d = 3 if t... | Python | zaydzuhri_stack_edu_python |
function _join_data_lines lines skip
begin
string Join all the data lines into a byte string
set lines = list map strip lines
set blank_lines = call count_header_blanks lines skip
set body = lines at slice skip + blank_lines + 2 : :
return join string body
end function | def _join_data_lines(lines, skip):
"""
Join all the data lines into a byte string
"""
lines = list(map(str.strip, lines))
blank_lines = count_header_blanks(lines, skip)
body = lines[skip + blank_lines + 2:]
return '\n'.join(body) | Python | jtatman_500k |
comment encoding:utf-8
import multiprocessing
import logging
call basicConfig level=DEBUG
set logger = call getLogger
class MonitorProcesos
begin
function __init__ self
begin
set busquedas_pendientes = queue
set resultados_pendientes = queue
set contador = queue
end function
comment crear búsqueda
function activar_busq... | #encoding:utf-8
import multiprocessing
import logging
logging.basicConfig(level=logging.DEBUG)
logger=logging.getLogger()
class MonitorProcesos:
def __init__(self):
self.busquedas_pendientes=multiprocessing.Queue()
self.resultados_pendientes=multiprocessing.Queue()
self.contador=multipr... | Python | zaydzuhri_stack_edu_python |
function have_only_two_digits_number_equal password
begin
for tuple index digits in enumerate password at slice 0 : - 1 :
begin
if digits == password at index + 1
begin
if index == 0 or digits != password at index - 1 and index == length password - 2 or digits != password at index + 2
begin
return true
end
end
end
retu... | def have_only_two_digits_number_equal(password):
for index, digits in enumerate(password[0:-1]):
if digits == password[index+1]:
if (index == 0 or digits != password[index-1]) and (index==len(password)-2 or digits != password[index+2]):
return True
return False
def never_de... | Python | zaydzuhri_stack_edu_python |
function get_longer old new
begin
try
begin
set pngs = tuple string \begin string \end
set old_parts = set comprehension x for x in split sep_RE old if x if x not in pngs
set new_parts = set comprehension y for y in split sep_RE new if y if y not in pngs
if new_parts == old_parts and new != old and any generator expres... | def get_longer(old, new):
try:
pngs = ('\\begin', '\\end')
old_parts = {x for x in sep_RE.split(old) if x if x not in pngs}
new_parts = {y for y in sep_RE.split(new) if y if y not in pngs}
if new_parts == old_parts and new != old and any('\\begin' in c for c
... | Python | nomic_cornstack_python_v1 |
set x = string input string >
set sorted_list = replace x string string
set sorted_list = sorted sorted_list
set x_sorted = join string sorted_list
print x_sorted | x = str(input(">"))
sorted_list = x.replace(" ", "")
sorted_list = sorted(sorted_list)
x_sorted = "".join(sorted_list)
print(x_sorted)
| Python | zaydzuhri_stack_edu_python |
class Foo extends object
begin
string docstring for Foo.
decorator classmethod
function class_method s
begin
print call repr s
end function
function member_method self
begin
print call repr self
end function
end class
set f = call Foo
call member_method
call class_method | class Foo(object):
"""docstring for Foo."""
@classmethod
def class_method(s):
print(repr(s))
def member_method(self):
print(repr(self))
f=Foo()
f.member_method()
f.class_method()
| Python | zaydzuhri_stack_edu_python |
function st self i j s
begin
if s == string /
begin
set first = tuple i + 1 j
set second = tuple i j + 1
end
else
if s == string \
begin
set first = tuple i j
set second = tuple i + 1 j + 1
end
return tuple first second
end function | def st(self, i, j, s):
if s == '/':
first = i+1, j
second = i, j+1
elif s == '\\':
first = i, j
second = i+1, j+1
return first, second | Python | nomic_cornstack_python_v1 |
string Binary Search
from random import randrange
comment COUNT = 0 #counter for counting number of steps
function binarysearch data key
begin
string Simple recursive binary search. Returns the value that was searched for
comment global COUNT #access count on global scope
comment COUNT = COUNT + 1 #increment count on e... | """
Binary Search
"""
from random import randrange
# COUNT = 0 #counter for counting number of steps
def binarysearch(data, key):
"""
Simple recursive binary search.
Returns the value that was searched for
"""
# global COUNT #access count on global scope
# COUNT = COUNT + 1 #increment ... | Python | zaydzuhri_stack_edu_python |
function nested_regions query_set search_space buffer_radius minimum_corner maximum_corner
begin
function region_indices points low_side high_side
begin
string return indices of all points between low_side and high_side
set all_masks = list
comment we can cheat a little here. if no points would be excluded by applying... | def nested_regions(
query_set,
search_space,
buffer_radius,
minimum_corner,
maximum_corner):
def region_indices(points, low_side, high_side):
"""
return indices of all points between low_side and high_side
"""
all_masks = []
# we can ... | Python | nomic_cornstack_python_v1 |
comment Your code here!
for x in start_list
begin
append square_list x ^ 2
end
sort square_list | # Your code here!
for x in start_list:
square_list.append(x ** 2)
square_list.sort() | Python | zaydzuhri_stack_edu_python |
import configparser
import psycopg2
from sql_tables import drop_table_queries , create_table_queries
function drop_tables cur conn
begin
string Function drops existing tables listed in 'drop_table_queries' list from 'sql_tables.py'.
for query in drop_table_queries
begin
execute cur query
commit conn
end
end function
fu... | import configparser
import psycopg2
from sql_tables import drop_table_queries, create_table_queries
def drop_tables(cur, conn):
"""Function drops existing tables listed in 'drop_table_queries' list from 'sql_tables.py'."""
for query in drop_table_queries:
cur.execute(query)
conn.commit()
def... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Task one
import random
import time
comment Variable for counting the # of times quincunx appears.
set count = 0
set start = time
comment n counts the # of times of rolling the dice.
for n in range 1 10 ^ 6 + 1
begin
set k = call randrange 1 7
comment If quincunx appears, count.
if k... | # -*- coding: utf-8 -*-
"""
Task one
"""
import random
import time
count = 0 # Variable for counting the # of times quincunx appears.
start = time.time()
for n in range(1,10**6+1): # n counts the # of times of rolling the dice.
k = random.randrange(1,7)
if k == 5: # If quincunx appears, count.
cou... | Python | zaydzuhri_stack_edu_python |
function __coord_cqt_hz n fmin=none bins_per_octave=12 **_kwargs
begin
string Get CQT bin frequencies
if fmin is none
begin
set fmin = call note_to_hz string C1
end
comment we drop by half a bin so that CQT bins are centered vertically
return call cqt_frequencies n + 1 fmin=fmin / 2.0 ^ 0.5 / bins_per_octave bins_per_o... | def __coord_cqt_hz(n, fmin=None, bins_per_octave=12, **_kwargs):
'''Get CQT bin frequencies'''
if fmin is None:
fmin = core.note_to_hz('C1')
# we drop by half a bin so that CQT bins are centered vertically
return core.cqt_frequencies(n+1,
fmin=fmin / 2.0**(0.5/bi... | Python | jtatman_500k |
function availableShips passengerCount
begin
set total_ships = list
set next = string https://swapi-api.hbtn.io/api/starships/
while next
begin
set r = get requests next
if status_code != 200
begin
break
end
set data = json r
set ships = data at string results
for ship in ships
begin
set passengers = replace ship at s... | def availableShips(passengerCount):
total_ships = []
next = "https://swapi-api.hbtn.io/api/starships/"
while next:
r = requests.get(next)
if r.status_code != 200:
break
data = r.json()
ships = data['results']
for ship in ships:
passengers = shi... | Python | nomic_cornstack_python_v1 |
function toString self
begin
string Converts the data about this view widget into a string value. :return <str>
set xprofile = call toXml
call xmlindent xprofile
return call tostring xprofile
end function | def toString(self):
"""
Converts the data about this view widget into a string value.
:return <str>
"""
xprofile = self.toXml()
projex.text.xmlindent(xprofile)
return ElementTree.tostring(xprofile) | Python | jtatman_500k |
from gurobipy import *
from functions import powerset
class TSP
begin
function __init__ self
begin
set model = model
end function
function setVars self pending_nodes
begin
set tuple x nodes = tuple dict list
for u in pending_nodes
begin
append nodes u
for v in pending_nodes
begin
if u < v
begin
set x at tuple u v = c... | from gurobipy import *
from functions import powerset
class TSP:
def __init__(self):
self.model = Model()
def setVars(self, pending_nodes):
self.x, self.nodes = {}, []
for u in pending_nodes:
self.nodes.append(u)
for v in pending_nodes:
if u <... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment The line at the very top tells the cpu that will be excuting this job
comment which python to use and how to find it.
comment Without that line this sould just be a simple text file and you would
comment specifically need to type on the command line: python name_of_file.py
comment T... | #!/usr/bin/env python
#######################################################################################
# The line at the very top tells the cpu that will be excuting this job
# which python to use and how to find it.
# Without that line this sould just be a simple text file and you would
# specifically need to ... | Python | zaydzuhri_stack_edu_python |
function int_to_padded_hex_byte integer
begin
string Convert an int to a 0-padded hex byte string example: 65 == 41, 10 == 0A Returns: The hex byte as string (ex: "0C")
set to_hex = hexadecimal integer
set xpos = find to_hex string x
set hex_byte = upper to_hex at slice xpos + 1 : length to_hex :
if length hex_byte == ... | def int_to_padded_hex_byte(integer):
"""
Convert an int to a 0-padded hex byte string
example: 65 == 41, 10 == 0A
Returns: The hex byte as string (ex: "0C")
"""
to_hex = hex(integer)
xpos = to_hex.find('x')
hex_byte = to_hex[xpos+1 : len(to_hex)].upper()
if len(hex_byte)... | Python | jtatman_500k |
import numpy as np
from matplotlib import pyplot as plt
set f = 20
set fs = 50
set m = array range 0 100 0.1
set x = call rand 500
set X = list
set w = array range - 1 * pi pi 0.01 * pi
for i in range length w
begin
set s = 0
for n in range 0 length x
begin
set s = s + x at n * exp - 1 * 1j * w at i * n
end
append X s... | import numpy as np
from matplotlib import pyplot as plt
f=20
fs=50
m=np.arange(0,100,0.1)
x=np.random.rand(500)
X=[]
w=np.arange(-1*np.pi,np.pi,0.01*np.pi)
for i in range (len(w)):
s=0
for n in range (0,len(x)) :
s=s+x[n]*np.exp(-1*1j*w[i]*n)
X.append(s)
X[i]=s
plt.subplot(211)
plt.stem(w,np.abs(X))
plt.subplot(2... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
import pickle
comment loading the data
set cars = read csv string D:/Python/Assignments codes/3.2 Multi Linear/Cars.csv
comment 1. VOL: Cubic feet of cab space
comment 2. HP: Engine horsepower
comment 3. MPG: Average miles per gall... | import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
import pickle
# loading the data
cars = pd.read_csv('D:/Python/Assignments codes/3.2 Multi Linear/Cars.csv')
# 1. VOL: Cubic feet of cab space
# 2. HP: Engine horsepower
# 3. MPG: Average miles per gallon
# ... | Python | zaydzuhri_stack_edu_python |
function name self name
begin
set _name = name
end function | def name(self, name):
self._name = name | Python | nomic_cornstack_python_v1 |
from methods import *
function main
begin
set g = call build_graph_from_file string input.txt
print string Drzewo spinające dfs
call spanning_tree g
print string Czy spójny
comment is_connected(g)
set wg = call build_weighted_digraph_from_file string input4.txt
comment wg.getEdgesByWeightsAsc()
print string Kruskal
com... | from methods import *
def main():
g = build_graph_from_file('input.txt')
print("Drzewo spinające dfs")
spanning_tree(g)
print("Czy spójny")
#is_connected(g)
wg = build_weighted_digraph_from_file('input4.txt')
#wg.getEdgesByWeightsAsc()
print("Kruskal")
#kruskal(wg)
dg = bui... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
comment coding: utf-8
string Funciones utilizadas para entrenar una Red
import logging
from keras.models import Sequential
from keras.layers import Dense , Dropout
from keras.utils.np_utils import to_categorical
from keras.callbacks import EarlyStopping
from sklearn.model_selection import trai... | #!/usr/bin/python3
# coding: utf-8
"""
Funciones utilizadas para entrenar una Red
"""
import logging
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.utils.np_utils import to_categorical
from keras.callbacks import EarlyStopping
from sklearn.model_selection import train_test_split
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
set word = string banana
comment In[3]:
set index = count word string a
comment In[4]:
index | #!/usr/bin/env python
# coding: utf-8
# In[1]:
word = 'banana'
# In[3]:
index = word.count('a')
# In[4]:
index
| Python | zaydzuhri_stack_edu_python |
import datetime
function add_gigasecond dateTimeObj
begin
set a = dateTimeObj + time delta 0 10 ^ 9
return a
end function | import datetime
def add_gigasecond(dateTimeObj):
a = dateTimeObj + datetime.timedelta(0,10**9)
return a
| Python | zaydzuhri_stack_edu_python |
function grad_basis self bc index=s_ at slice : :
begin
comment (NQ,NC,ldof)
set gphi0 = call grad_basis bc
set shape = list shape
set shape at - 2 = shape at - 2 + 1
set gphi = zeros shape dtype=string float
comment 把不同类型的自由度区分开来
set dofFlags = call dof_flags_1
comment 面不连续自由度的编号
set tuple idx = call nonzero dofFlag... | def grad_basis(self, bc, index=np.s_[:]):
gphi0 = self.space.grad_basis(bc) #(NQ,NC,ldof)
shape = list(gphi0.shape)
shape[-2]+=1
gphi = np.zeros(shape,dtype='float')
dofFlags = self.dof_flags_1() # 把不同类型的自由度区分开来
idx, = np.nonzero(dofFlags[0]) # 面不连续自由度的编号
#构建面上不连... | Python | nomic_cornstack_python_v1 |
function magnetisation field
begin
set norm_field = call Field mesh dim=1 value=array != 0
set volume = call integral norm_field * dV direction=string xyz
return call integral field * dV / volume direction=string xyz
end function | def magnetisation(field):
norm_field = df.Field(field.mesh, dim=1, value=(field.norm.array != 0))
volume = df.integral(norm_field * df.dV, direction='xyz')
return df.integral(field * df.dV / volume, direction='xyz') | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import math
set a = integer input string Digite a:
set b = integer input string Digite b:
set anterior = a
set atual = b
set resto = anterior % atual
while resto != 0
begin
set anterior = atual
set atual = resto
set resto = anterior % atual
end
print string MDC(%d,%d)=%d % tuple a b atual | # -*- coding: utf-8 -*-
import math
a=int(input('Digite a:'))
b=int(input('Digite b:'))
anterior=a
atual=b
resto=anterior%atual
while resto!=0:
anterior=atual
atual=resto
resto=anterior%atual
print("MDC(%d,%d)=%d"%(a,b,atual)) | Python | zaydzuhri_stack_edu_python |
comment coding: utf-8
function count list
begin
return length list
end function
function min iterable key=lambda x -> x default=0
begin
if length iterable == 0
begin
raise call ValueError string Argument `iterable`'s length should be at least 1.
end
set ret = default
for elem in iterable
begin
if call key ret > call ke... | # coding: utf-8
def count(list):
return len(list)
def min(iterable, key = lambda x: x, default = 0):
if len(iterable) == 0:
raise ValueError("Argument `iterable`'s length should be at least 1.")
ret = default
for elem in iterable:
if key(ret) > key(elem) :
ret = elem
return ret
def max(iterable, ... | Python | zaydzuhri_stack_edu_python |
function _get_mpls_enabled self
begin
return __mpls_enabled
end function | def _get_mpls_enabled(self):
return self.__mpls_enabled | Python | nomic_cornstack_python_v1 |
function main height
begin
if height == 1
begin
set row = list 0 1 0
end
end function | def main(height):
if height == 1:
row = [0,1,0] | Python | zaydzuhri_stack_edu_python |
import os
import shutil
import tempfile
from functools import wraps
from homework_checker.base import Assignment
comment # Chcemy napisać sprawdzarkę do testu znajomości stolic europejskich.
comment # Format listy stolic taki jak w pliku stolice.csv
comment # Format pytań taki jak w pliku pytania.csv
comment # Format o... | import os
import shutil
import tempfile
from functools import wraps
from homework_checker.base import Assignment
# # Chcemy napisać sprawdzarkę do testu znajomości stolic europejskich.
# # Format listy stolic taki jak w pliku stolice.csv
# # Format pytań taki jak w pliku pytania.csv
# # Format odpowiedzi taki jak w p... | Python | zaydzuhri_stack_edu_python |
function addAtTail self val
begin
set cur = call linkNode val
comment first node
if tail == none
begin
set next = cur
set prev = head
set tail = cur
end
else
begin
set next = cur
set prev = tail
comment update tail
set tail = cur
end
end function
comment self.printList() | def addAtTail(self, val):
cur = linkNode(val)
if self.tail == None: # first node
self.head.next = cur
cur.prev = self.head
self.tail = cur
else:
self.tail.next = cur
cur.prev = self.tail
self.tail = cur # update tail
... | Python | nomic_cornstack_python_v1 |
import pytz
import time
import datetime
set tz = call timezone string America/New_York
set a = string format time now tz string %Y-%m-%d %H:%M:%S
print a
set a = now tz + time delta days=1
print a
set a = string format time now string %Y-%m-%d %H:%M:%S
print a
print today
set dd = today - time delta days=1
print dd
com... | import pytz
import time
import datetime
tz = pytz.timezone('America/New_York')
a = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
print(a)
a = datetime.datetime.now(tz) + datetime.timedelta(days=1)
print(a)
a = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
print(a)
print(datetime.date.today())
dd = dat... | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
import tensorflow.examples.tutorials.mnist.input_data as input_data
set mnist = call read_data_sets string MNIST_data/ one_hot=true
set x = call placeholder float32 list none 784
set y_actual = call placeholder float32 shape=list none 10
comment 初始化权值W
set W = call Variable zeros list 784 10
com... | import tensorflow as tf
import tensorflow.examples.tutorials.mnist.input_data as input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
x = tf.placeholder(tf.float32, [None, 784])
y_actual = tf.placeholder(tf.float32, shape=[None, 10])
W = tf.Variable(tf.zeros([784,10])) #初始化权值W
b = tf.V... | Python | zaydzuhri_stack_edu_python |
function _resolve_artifact_value_operator self op
begin
set resolved_artifact = call resolve expression
if not is instance resolved_artifact ValueArtifact
begin
raise call ValueError string ArtifactValueOperator expects the expression to evaluate to a value artifact.Got { type resolved_artifact }
end
return read resolv... | def _resolve_artifact_value_operator(
self, op: placeholder_pb2.ArtifactValueOperator) -> str:
resolved_artifact = self.resolve(op.expression)
if not isinstance(resolved_artifact, value_artifact.ValueArtifact):
raise ValueError("ArtifactValueOperator expects the expression "
"... | Python | nomic_cornstack_python_v1 |
comment Function to add two numbers
function add num1 num2
begin
string This function perform addition
if type num1 == type string s or type num2 == type string s
begin
return 0
end
set addition = num1 + num2
return addition
end function
comment Function to subtract two numbers
function subtract num1 num2
begin
string ... | # Function to add two numbers
def add(num1, num2):
"This function perform addition"
if type(num1) == type("s") or type(num2) == type("s"):
return 0
addition = num1 + num2
return addition
# Function to subtract two numbers
def subtract(num1, num2):
"This function perform subtraction"
if... | Python | zaydzuhri_stack_edu_python |
function class_adjustment self
begin
set ABILITIES_ORDER = call get_abilities_order ch_class
for key in SAVES_LVLS
begin
set SAVES_LVLS at key = call get_class_saves key ch_class
end
set CLASS_SKILLS = call get_class_skills ch_class
set SKILL_POINTS_MOD = call get_skillp_modifier ch_class
set HIT_DIE = call get_hit_die... | def class_adjustment(self):
self.ABILITIES_ORDER = fetch_data.get_abilities_order(self.ch_class)
for key in self.SAVES_LVLS:
self.SAVES_LVLS[key] = fetch_data.get_class_saves(key, self.ch_class)
self.CLASS_SKILLS = fetch_data.get_class_skills(self.ch_class)
self.SKILL_POINT... | Python | nomic_cornstack_python_v1 |
function __cmp__ self other
begin
for i in range 0 call dimensionality
begin
if self at i < other at i
begin
return - 1
end
if self at i > other at i
begin
return 1
end
end
return 0
end function | def __cmp__(self, other):
for i in range(0, self.dimensionality()):
if self[i] < other[i]:
return -1
if self[i] > other[i]:
return 1
return 0 | Python | nomic_cornstack_python_v1 |
string print(type('7')) print(type(7)) print(type(7.1)) print(isinstance('7',str)) print(isinstance(7,int)) print(isinstance(7.1,float)) print(isinstance(7,str)) print(isinstance('7',int)) print(isinstance('7.1',float)) print(type('7') == str) print(type(7) == int) print(type(7.1) == float) print(type(7) == str) print(... | """
print(type('7'))
print(type(7))
print(type(7.1))
print(isinstance('7',str))
print(isinstance(7,int))
print(isinstance(7.1,float))
print(isinstance(7,str))
print(isinstance('7',int))
print(isinstance('7.1',float))
print(type('7') == str)
print(type(7) == int)
print(type(7.1) == float)
print(type(7) == str)
pri... | Python | zaydzuhri_stack_edu_python |
comment generate files for images, V-A values and landmark points for AFEW-VA dataset
import os
import os.path as path
import zipfile
import json
set currentDir = get current directory
comment create the data folder that will hold all the data files
set dataFolder = join path absolute path path join path currentDir str... | #generate files for images, V-A values and landmark points for AFEW-VA dataset
import os
import os.path as path
import zipfile
import json
currentDir = os.getcwd()
#create the data folder that will hold all the data files
dataFolder = path.join(path.abspath(path.join(currentDir,'..')), 'data/dataFolder')
if not os.p... | Python | zaydzuhri_stack_edu_python |
function main
begin
string Sets parameters
set args_parser = call ArgumentParser
call add_argument string -p string --predict required=true help=string Is it a prediction?
call add_argument string --predict_file_name help=string Path to the prediction file required=false
call add_argument string --output_folder help=st... | def main():
"""
Sets parameters
"""
args_parser = argparse.ArgumentParser()
args_parser.add_argument(
"-p", "--predict",
required=True,
help="Is it a prediction?")
args_parser.add_argument(
'--predict_file_name',
help='Path to the prediction f... | Python | nomic_cornstack_python_v1 |
function karat_test
begin
set failed = 0
for trial in range 100
begin
set x = call randrange 100 10000
set y = call randrange 100 10000
if call karat x y != x * y
begin
set failed = failed + 1
end
end
end function | def karat_test():
failed = 0
for trial in range(100):
x = randrange(100, 10000)
y = randrange(100, 10000)
if karat(x, y) != x*y:
failed += 1
| Python | nomic_cornstack_python_v1 |
function json_pretty self
begin
return dumps definition indent=4 cls=JSONEncoder
end function | def json_pretty(self):
return json.dumps(self.definition, indent=4, cls=JSONEncoder) | Python | nomic_cornstack_python_v1 |
from collections import defaultdict
set N = integer input
set xy = list comprehension list map int split input for i in range N
set d = default dictionary int
for tuple i tuple xi yi in enumerate xy
begin
for tuple j tuple xj yj in enumerate xy
begin
set tuple p q = tuple xi - xj yi - yj
set d at tuple p q = d at tuple... | from collections import defaultdict
N = int(input())
xy = [list(map(int, input().split())) for i in range(N)]
d = defaultdict(int)
for i, (xi, yi) in enumerate(xy):
for j, (xj, yj) in enumerate(xy):
p, q = xi - xj, yi - yj
d[(p, q)] += 1
d.pop((0, 0))
ans = N
for k in d:
ans = min(ans, N-d[k])
print(ans... | Python | zaydzuhri_stack_edu_python |
function forward self x
begin
set detection_feed = list x
for layer in additional_layers
begin
set x = call layer x
append detection_feed x
end
set tuple locs confs = call _reshape_bbox detection_feed loc conf
return tuple locs confs
end function | def forward(self, x: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]:
detection_feed = [x]
for layer in self.additional_layers:
x = layer(x)
detection_feed.append(x)
locs, confs = self._reshape_bbox(detection_feed, self.loc, self.conf)
return locs, confs | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment coding=utf-8
comment Author: @maris
comment Created Time: May 18 2017 18:55:41 PM CST
comment File Name:spider.py
comment Description:把元数据同步到ipfs
import sys
import re
import json
import time
import io
import requests
import ipfshttpclient
import base64
comment 文档https://ipfs.io/ipn... | #!/usr/bin/env python3
#coding=utf-8
#########################################################################
# Author: @maris
# Created Time: May 18 2017 18:55:41 PM CST
# File Name:spider.py
# Description:把元数据同步到ipfs
#########################################################################
import sys
import re
impo... | Python | zaydzuhri_stack_edu_python |
function __init__ self servers_lst alias=none session=none
begin
set session = session
if alias
begin
set alias = alias
end
else
begin
set alias = call GetAlias session=session
end
set servers_lst = servers_lst
end function | def __init__(self,servers_lst,alias=None,session=None):
self.session = session
if alias: self.alias = alias
else: self.alias = clc.v2.Account.GetAlias(session=self.session)
self.servers_lst = servers_lst | Python | nomic_cornstack_python_v1 |
function evaluate self
begin
function readJson
begin
set path_to_cand_file = join path _pathToData _candName
set cand_list = loads read open path_to_cand_file string r
set res = default dictionary list
for id_cap in cand_list
begin
extend res at id_cap at string image_id id_cap at string captions
end
return res
end fun... | def evaluate(self):
def readJson():
path_to_cand_file = os.path.join(self._pathToData, self._candName)
cand_list = json.loads(open(path_to_cand_file, 'r').read())
res = defaultdict(list)
for id_cap in cand_list:
res[id_cap['image_id']].extend(id_... | Python | nomic_cornstack_python_v1 |
from math import e
import numpy as np
import csv
import pandas as pd
from pandas import DataFrame
from csv_handle import contain_row
comment from csv_handle import contain_col
from scipy.integrate import quad
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
comment ------------------... | from math import e
import numpy as np
import csv
import pandas as pd
from pandas import DataFrame
from csv_handle import contain_row
#from csv_handle import contain_col
from scipy.integrate import quad
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
#--------------------Methods----... | Python | zaydzuhri_stack_edu_python |
function _tagchain_is_linked self left_tag_name mid_tag_name estimators left_tag_val=true mid_tag_val=true
begin
for tuple _ est in estimators
begin
if call get_tag mid_tag_name == mid_tag_val
begin
return tuple true true
end
if not call get_tag left_tag_name == left_tag_val
begin
return tuple false false
end
end
retur... | def _tagchain_is_linked(
self,
left_tag_name,
mid_tag_name,
estimators,
left_tag_val=True,
mid_tag_val=True,
):
for _, est in estimators:
if est.get_tag(mid_tag_name) == mid_tag_val:
return True, True
if not est.get_tag(... | Python | nomic_cornstack_python_v1 |
function record self record_meta
begin
if string ft.onto.base_ontology.Phrase not in keys record_meta
begin
set record_meta at string ft.onto.base_ontology.Phrase = set
end
end function | def record(self, record_meta: Dict[str, Set[str]]):
if "ft.onto.base_ontology.Phrase" not in record_meta.keys():
record_meta["ft.onto.base_ontology.Phrase"] = set() | Python | nomic_cornstack_python_v1 |
function user_story_07 self
begin
for ind in values individuals
begin
if age >= 150
begin
print string US07 - { name } is age { age } , which is over 150 years old, on line { _age_line }
end
end
end function | def user_story_07(self):
for ind in self.individuals.values():
if ind.age >= 150:
print(f'US07 - {ind.name} is age {ind.age}, which is over 150 years old, on line {ind._age_line}') | Python | nomic_cornstack_python_v1 |
function load self index_start index_end
begin
debug format string Loading data buffer from indexes {} to {}. index_start index_end
set index_start = index_start
set index_end = index_end
try
begin
assert index_start >= 0 and index_start < n_bursts_l1a and index_end > index_start
end
except AssertionError
begin
error s... | def load(self,index_start,index_end):
logging.debug("Loading data buffer from indexes {} to {}.".format(index_start,index_end))
self.index_start=index_start
self.index_end=index_end
try:
assert(self.index_start>=0 and self.index_start<self.n_bursts_l1a and self.index_end>s... | Python | nomic_cornstack_python_v1 |
function recv self
begin
set buf = call recvfrom 65565
set p = call Packet data=buf
return p
end function | def recv(self):
self.buf = self.sock_in.recvfrom(65565)
p = Packet(data=self.buf)
return p | Python | nomic_cornstack_python_v1 |
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