code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function expiration_seconds self
begin
return get pulumi self string expiration_seconds
end function | def expiration_seconds(self) -> Optional[int]:
return pulumi.get(self, "expiration_seconds") | Python | nomic_cornstack_python_v1 |
function glob_list self l
begin
function glob_item_re item
begin
if string * not in item and string ? not in item
begin
return call escape item
end
return join string list comprehension if expression c == string * then string .* else if expression c == string ? then string . else call escape c for c in item
end functi... | def glob_list(self, l):
def glob_item_re(item):
if '*' not in item and '?' not in item:
return re.escape(item)
return ''.join([
'.*' if c == '*' else
'.' if c == '?' else
re.escape(c)
for c in item
... | Python | nomic_cornstack_python_v1 |
comment Crescimento da população brasileira 1980 - 2016
comment DataSus database do governo
import matplotlib.pyplot as plt
set dados = read lines open string dataScience\BrazilianPopulation\populacao_brasileira.csv string r
set years = list
set population = list
for i in range length dados
begin
if i != 0
begin
set ... | #Crescimento da população brasileira 1980 - 2016
#DataSus database do governo
import matplotlib.pyplot as plt
dados = open("dataScience\BrazilianPopulation\populacao_brasileira.csv", "r").readlines()
years = []
population = []
for i in range(len(dados)):
if i != 0 :
linha = dados[i].split(";")
y... | Python | zaydzuhri_stack_edu_python |
comment for loop
for fruit in fruits
begin
print fruit
end
comment while loop
set i = 0
while i < length fruits
begin
print fruits at i
set i = i + 1
end | # for loop
for fruit in fruits:
print(fruit)
# while loop
i = 0
while i<len(fruits):
print(fruits[i])
i =i+1 | Python | zaydzuhri_stack_edu_python |
function col_means x na_rm=false
begin
comment dims: int = 1,
comment weights = None,
comment freq = None,
comment n = None
return call agg mean na_rm=na_rm
end function | def col_means(
x: DataFrame,
na_rm: bool = False,
# dims: int = 1,
# weights = None,
# freq = None,
# n = None
) -> Iterable[NumericType]:
return x.agg(mean, na_rm=na_rm) | Python | nomic_cornstack_python_v1 |
function get_members self groupName
begin
set route = string wiki/rest/api/group/ { groupName } /member
return get self route=route
end function | def get_members(self, groupName):
route = f"wiki/rest/api/group/{groupName}/member"
return self.get(route=route) | Python | nomic_cornstack_python_v1 |
function sort_sentence sentence
begin
set words = call break_words sentence
return call sort_words words
end function | def sort_sentence(sentence):
words = break_words(sentence)
return sort_words(words) | Python | nomic_cornstack_python_v1 |
import numpy as np
set filename = string iris.data
comment Read in data
set data = call genfromtxt filename dtype=none names=list string slength string swidth string plength string pwidth string class delimiter=string ,
comment Generate test set randomly from data, then remove those elements from data
set test_i = rand... | import numpy as np
filename='iris.data'
#Read in data
data = np.genfromtxt(filename, dtype=None, names = ['slength','swidth','plength','pwidth','class'], delimiter=",")
#Generate test set randomly from data, then remove those elements from data
test_i = np.random.choice(range(len(data)),size=10,replace=False)
test =... | Python | zaydzuhri_stack_edu_python |
function n self
begin
if not table
begin
return 0
end
return max omega + 1
end function | def n(self):
if not self.table:
return 0
return max(self.omega) + 1 | Python | nomic_cornstack_python_v1 |
with open string sequence.nucleotide.fasta string r as fr
begin
for line in fr
begin
if starts with line string >
begin
set title = line
end
else
begin
set seq = seq + strip line
end
end
end
set sequence_reversed = join string reversed seq
set sequence_ATGC = dict string A string T ; string T string A ; string G strin... | with open("sequence.nucleotide.fasta","r") as fr:
for line in fr:
if line.startswith(">"):
title = line
else:
seq += line.strip()
sequence_reversed = ''.join(reversed(seq))
sequence_ATGC = {"A":"T",
"T":"A",
"G":"C",
"C":"... | Python | zaydzuhri_stack_edu_python |
comment encoding=utf-8
from selenium import webdriver
import time
from selenium.webdriver import ActionChains
set driver = call Firefox
set web_url = string https://www.jd.com
get driver web_url
sleep 5
call maximize_window
comment 获取一组分类子元素
set el_list = call find_elements_by_class_name string cate_menu_item
for el in... | #encoding=utf-8
from selenium import webdriver
import time
from selenium.webdriver import ActionChains
driver=webdriver.Firefox()
web_url="https://www.jd.com"
driver.get(web_url)
time.sleep(5)
driver.maximize_window()
#获取一组分类子元素
el_list=driver.find_elements_by_class_name("cate_menu_item")
for el in el_list:
... | Python | zaydzuhri_stack_edu_python |
import sys
import boto3
import argparse
import os
import csv
from botocore.exceptions import ClientError
set client = call client string dynamodb
set dynamodb = call resource string dynamodb
function main
begin
set parser = call ArgumentParser description=string delete evidence in environment specified.
call add_argume... | import sys
import boto3
import argparse
import os
import csv
from botocore.exceptions import ClientError
client = boto3.client('dynamodb')
dynamodb = boto3.resource('dynamodb')
def main():
parser = argparse.ArgumentParser(description=
'delete evidence in environm... | Python | zaydzuhri_stack_edu_python |
function activation x
begin
return 1.0 / 1.0 + exp - 5 * x
end function | def activation(x):
return 1.0 / (1.0 + K.exp(-5 * x)) | Python | nomic_cornstack_python_v1 |
function x_to_rad self x
begin
set x = x + KICKER_OFFSET
set d = x - 2160.0 * pi * 2 / 3840
if d > pi
begin
set d = d - pi * 2
end
if d < - pi
begin
set d = d + pi * 2
end
return d
end function | def x_to_rad(self, x):
x += self.KICKER_OFFSET
d = (x-2160.0)*(math.pi*2)/(3840)
if d > math.pi:
d -= math.pi * 2
if d < -math.pi:
d += math.pi * 2
return d | Python | nomic_cornstack_python_v1 |
string Assigment #1 The Student Life Simulator starter code. You should complete every incomplete function, and add more functions and variables as needed. Also add comments as required. Note that incomplete functions have 'pass' as the first statement: pass is a Python keyword; it is a statement that does nothing. Thi... | """ Assigment #1
The Student Life Simulator starter code.
You should complete every incomplete function,
and add more functions and variables as needed.
Also add comments as required.
Note that incomplete functions have 'pass' as the first statement:
pass is a Python keyword; it is a statement that does nothing.
This ... | Python | zaydzuhri_stack_edu_python |
function check_genera
begin
set genera = get args string genera
set genera_dat = execute db string SELECT * FROM genera WHERE genera =:genera genera=genera
if length genera > 1 and length genera_dat != 0
begin
return call jsonify true
end
else
begin
return call jsonify false
end
end function | def check_genera():
genera = request.args.get("genera")
genera_dat = db.execute("SELECT * FROM genera WHERE genera =:genera", genera=genera)
if len(genera) > 1 and len(genera_dat) != 0:
return jsonify(True)
else:
return jsonify(False) | Python | nomic_cornstack_python_v1 |
import uos
from machine import Pin
import machine
import utime
set sensor_temp = call ADC 4
set conversion_factor = 3.3 / 65535
set led = call Pin 25 OUT
while true
begin
call value 1
set f = open string data.txt string a
set reading = call read_u16 * conversion_factor
set temperature = 27 - reading - 0.706 / 0.001721
... | import uos
from machine import Pin
import machine
import utime
sensor_temp = machine.ADC(4)
conversion_factor = 3.3 / (65535)
led = Pin(25, Pin.OUT)
while True:
led.value(1)
f = open('data.txt', 'a')
reading = sensor_temp.read_u16() * conversion_factor
temperature = 27 - (reading - 0.706)/0.001721
... | Python | zaydzuhri_stack_edu_python |
function calc_stacked df ngroups nsubgroups
begin
set tuple x y = tuple columns at 0 columns at 1
set tuple df grp_cnt_stats largest_grps = call _calc_groups df x ngroups
set fin_df = call DataFrame
for grp in largest_grps
begin
set df_grp = df at df at x == grp
set df_res = call nlargest n=nsubgroups / length df_grp *... | def calc_stacked(
df: dd.DataFrame, ngroups: int, nsubgroups: int,
) -> Tuple[pd.DataFrame, Dict[str, int]]:
x, y = df.columns[0], df.columns[1]
df, grp_cnt_stats, largest_grps = _calc_groups(df, x, ngroups)
fin_df = pd.DataFrame()
for grp in largest_grps:
df_grp = df[df[x] == grp]
... | Python | nomic_cornstack_python_v1 |
function getColorModel self
begin
return call getColorModel
end function | def getColorModel(self):
return self.getModel().getColorModel() | Python | nomic_cornstack_python_v1 |
function test_without_matches self
begin
set match_column_1 = 1
set match_column_2 = 1
set input_data_1 = TESTS_DATA_1
set input_data_2 = TESTS_DATA_2
set result = match
assert equal string Activated result at 0 at 0
assert equal string Money result at 0 at 1
assert equal string Name result at 0 at 4
assert equal 1 len... | def test_without_matches(self):
self.matcher.match_column_1 = 1
self.matcher.match_column_2 = 1
self.matcher.input_data_1 = self.TESTS_DATA_1
self.matcher.input_data_2 = self.TESTS_DATA_2
result = self.matcher.match()
self.assertEqual('Activated', result[0][0])
se... | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
try
begin
set namefile = input string Файл-Оболочка:
with open namefile string rb as file1
begin
set read1 = read file1
end
end
except FileNotFoundError
begin
print string [x] Файл: ' + string namefile + string 'Не найден!
raise SystemExit
end
try
begin
set zipfile = input string Zip-Файл:
with op... | #coding: utf-8
try:
namefile= input("Файл-Оболочка: ")
with open(namefile, 'rb') as file1:
read1=file1.read()
except FileNotFoundError:
print("[x] Файл: '"+str(namefile)+ "'Не найден!")
raise SystemExit
try:
zipfile=input("Zip-Файл: ")
with open(zipfile, 'rb') as file2:
read2=file2.read()
except F... | Python | zaydzuhri_stack_edu_python |
import torch as t
from HW1.utils import variable
import numpy as np
from torch.nn import Sigmoid
import torchtext
from torchtext.vocab import Vectors , GloVe
function vectorize text TEXT vdim=300
begin
set tuple length batch_size = shape
return mean t call cat list comprehension view vectors at transpose data 0 1 at i ... | import torch as t
from HW1.utils import variable
import numpy as np
from torch.nn import Sigmoid
import torchtext
from torchtext.vocab import Vectors, GloVe
def vectorize(text, TEXT, vdim=300):
length, batch_size = text.data.numpy().shape
return t.mean(t.cat([TEXT.vocab.vectors[text.long().data.transpose(0,1)... | Python | zaydzuhri_stack_edu_python |
string import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation plt.style.use('ggplot') fig, ax = plt.subplots(figsize=(10, 10)) ax.set(xlim=(-3, 3), ylim=(-1, 1)) x = np.linspace(-3, 3, 91) t = np.linspace(0, 900, 900) y = np.linspace(-3, 3, 91) X3, Y3, T3 = np.meshgrid(x, y, t... | """import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
plt.style.use('ggplot')
fig, ax = plt.subplots(figsize=(10, 10))
ax.set(xlim=(-3, 3), ylim=(-1, 1))
x = np.linspace(-3, 3, 91)
t = np.linspace(0, 900, 900)
y = np.linspace(-3, 3, 91)
X3, Y3, T3 = np.meshgrid(x, y, t)
... | Python | zaydzuhri_stack_edu_python |
function count_genomic_region_plot self
begin
string Generate the SnpEff Counts by Genomic Region plot
comment Sort the keys based on the total counts
set keys = snpeff_section_totals at string # Count by genomic region
set sorted_keys = sorted keys reverse=true key=get
comment Make nicer label names
set pkeys = ordere... | def count_genomic_region_plot(self):
""" Generate the SnpEff Counts by Genomic Region plot """
# Sort the keys based on the total counts
keys = self.snpeff_section_totals['# Count by genomic region']
sorted_keys = sorted(keys, reverse=True, key=keys.get)
# Make nicer label name... | Python | jtatman_500k |
import sys
from PyQt5.QtSql import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
function initializeModel model
begin
call setTable string Assets
call setEditStrategy OnFieldChange
select model
call setHeaderData 0 Horizontal string ID
call setHeaderData 1 Horizontal string name
c... | import sys
from PyQt5.QtSql import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
def initializeModel(model):
model.setTable('Assets')
model.setEditStrategy(QSqlTableModel.OnFieldChange)
model.select()
model.setHeaderData(0,Qt.Horizontal,'ID')
model.setHeaderD... | Python | zaydzuhri_stack_edu_python |
from trainRO import load_embedding , load_data , preprocess_dataset
from trainEN import load_data_sen
from settings import DATA_FILE_RO , EMBEDDINGS_FILE_RO , OBJ_FILE_EN , SUBJ_FILE_EN , EMBEDDINGS_FILE_EN
import matplotlib.pyplot as plt
from collections import Counter
set ENGLISH = 0
function test_above limit sentenc... | from trainRO import load_embedding, load_data, preprocess_dataset
from trainEN import load_data_sen
from settings import DATA_FILE_RO, EMBEDDINGS_FILE_RO, OBJ_FILE_EN, SUBJ_FILE_EN, EMBEDDINGS_FILE_EN
import matplotlib.pyplot as plt
from collections import Counter
ENGLISH = 0
def test_above(limit, sentences):
a... | Python | zaydzuhri_stack_edu_python |
string you are given Alexnet network with pre-trained weights (alexnet.py uses bvlx-alexnet.npy). use it for inference of animal images.
from helper import read_images , print_output
from alexnet import AlexNet
import tensorflow as tf
set tuple im1 im2 = call read_images string poodle.png string weasel.png
comment Alex... | """
you are given Alexnet network with pre-trained weights (alexnet.py uses bvlx-alexnet.npy).
use it for inference of animal images.
"""
from helper import read_images, print_output
from alexnet import AlexNet
import tensorflow as tf
im1, im2 = read_images('poodle.png', 'weasel.png')
# Alexnet requires (227,277,3)
x ... | Python | zaydzuhri_stack_edu_python |
function list_iam_policy_assignments status=none namespace=string default account_id=none boto3_session=none
begin
set args : Dict at tuple str Any = dict string func_name string list_iam_policy_assignments ; string attr_name string IAMPolicyAssignments ; string account_id account_id ; string boto3_session boto3_sessio... | def list_iam_policy_assignments(
status: Optional[str] = None,
namespace: str = "default",
account_id: Optional[str] = None,
boto3_session: Optional[boto3.Session] = None,
) -> List[Dict[str, Any]]:
args: Dict[str, Any] = {
"func_name": "list_iam_policy_assignments",
"attr_name": "IA... | Python | nomic_cornstack_python_v1 |
function __init__ self parent panel=none
begin
comment sheet.CSheet.__init__(self, parent)
comment The following is the __init__ from CSheet. ##########################
comment We re-write it here because the class is broken in wx 3.0,
comment such that the cell editor is not able to receive the right
comment number of... | def __init__(self, parent, panel=None):
#sheet.CSheet.__init__(self, parent)
# The following is the __init__ from CSheet. ##########################
# We re-write it here because the class is broken in wx 3.0,
# such that the cell editor is not able to receive the right
# number... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
comment -*- coding: utf-8 -*-
from Tkinter import *
class Window extends Frame
begin
function __init__ self master=none
begin
call __init__ self master
set master = master
set wod_select = call IntVar
set 0
set user_name = call Entry self
set age = call Entry self
set sex = call IntVar
call Ne... | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from Tkinter import *
class Window(Frame):
def __init__(self, master=None):
Frame.__init__(self, master)
self.master = master
self.wod_select = IntVar()
self.wod_select.set(0)
self.user_name = Entry(self)
... | Python | zaydzuhri_stack_edu_python |
import sys
call setrecursionlimit 4100000
import math
set INF = 10 ^ 9
function main
begin
set n = integer input
set a = integer input
if n % 500 <= a
begin
print string Yes
end
else
begin
print string No
end
end function
if __name__ == string __main__
begin
call main
end | import sys
sys.setrecursionlimit(4100000)
import math
INF = 10**9
def main():
n = int(input())
a = int(input())
if n%500 <= a:
print('Yes')
else:
print('No')
if __name__ == '__main__':
main()
| Python | zaydzuhri_stack_edu_python |
import numpy as np
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from keras.utils import to_categorical
import time
class MNISTClassifier
begin
function __init__ self X_train X_test y_train y_test features_size
begin
set X_train = X_train
set X_test = X_test
set y_train ... | import numpy as np
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from keras.utils import to_categorical
import time
class MNISTClassifier():
def __init__(self, X_train, X_test, y_train, y_test, features_size):
self.X_train = X_train
self.X_test = X... | Python | zaydzuhri_stack_edu_python |
function store_mapping mapping outdir prefix
begin
set fh = open outdir + string / + prefix + string _mapping.txt string w
for tuple key valuelist in call iteritems
begin
write fh string %s: % key
for v in valuelist
begin
write fh string %s % v
end
write fh string
end
close fh
end function | def store_mapping(mapping, outdir, prefix):
fh = open(outdir + "/" + prefix + "_mapping.txt", "w")
for (key, valuelist) in mapping.iteritems():
fh.write("%s:" % key)
for v in valuelist:
fh.write("\t%s" % v)
fh.write("\n")
fh.close() | Python | nomic_cornstack_python_v1 |
string 1.随机生成1000个整数 2.范围[20,100] 3.升序输出所有不同的数字及其每个数字重复的次数
import random
set num_dirc = dict
comment 统计数字及对应的次数
for i in range 1000
begin
set num_key = random integer 20 100
if num_key in num_dirc
begin
set num_dirc at num_key = num_dirc at num_key + 1
end
else
begin
set num_dirc at num_key = 1
end
end
comment 排序，便历输出... | '''
1.随机生成1000个整数
2.范围[20,100]
3.升序输出所有不同的数字及其每个数字重复的次数
'''
import random
num_dirc = {}
#统计数字及对应的次数
for i in range (1000):
num_key = random.randint(20,100)
if num_key in num_dirc:
num_dirc[num_key] += 1
else:
num_dirc[num_key] = 1
##排序，便历输出
for i in sorted(num_dirc.keys()):... | Python | zaydzuhri_stack_edu_python |
comment 作者 ljc
set tuple user passwd = tuple string ljc string 123
function dec_login login_type
begin
print string longtype login_type
function outer_wapper func
begin
function wrapper *args **kwargs
begin
print string ss *args keyword kwargs
set username = input string please input name
set password = input string pl... | # 作者 ljc
user, passwd = "ljc", "123"
def dec_login(login_type):
print("longtype",login_type)
def outer_wapper(func):
def wrapper(*args, **kwargs):
print("ss",*args,**kwargs)
username = input("please input name")
password = input("please input password")
... | Python | zaydzuhri_stack_edu_python |
function sieve top
begin
set flags = list comprehension true for _ in range top + 1
set flags at 0 = false
set flags at 1 = false
for i in range length flags
begin
if flags at i
begin
for j in range i + 1 length flags
begin
if flags at j and j % i == 0
begin
set flags at j = false
end
end
end
end
return list comprehens... | def sieve(top):
flags = [True for _ in range(top + 1)]
flags[0] = flags[1] = False
for i in range(len(flags)):
if flags[i]:
for j in range(i + 1, len(flags)):
if flags[j] and j % i == 0:
flags[j] = False
return [i for i, f in enumerate(flags) if f... | Python | zaydzuhri_stack_edu_python |
import fresh_tomatoes
import media
comment import the necessary files required
set thupaki = string https://upload.wikimedia.org/wikipedia/en/b/be/Thuppakki_poster.jpg
set magadhera = string http://photos.filmibeat.com/ph-big/2012/01/1325845008613892.jpg
set viveegam = string https://upload.wikimedia.org/wikipedia/en/b... | import fresh_tomatoes
import media
# import the necessary files required
thupaki = "https://upload.wikimedia.org/wikipedia/en/b/be/Thuppakki_poster.jpg"
magadhera = "http://photos.filmibeat.com/ph-big/2012/01/1325845008613892.jpg"
viveegam = "https://upload.wikimedia.org/wikipedia/en/b/be/Vivegam_poster.jpg"
Mr =... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import sys
import string
function reactive_units
begin
set forward = set list comprehension string { char } { upper char } for char in list ascii_lowercase
set backward = set list comprehension string { char } { lower char } for char in list ascii_uppercase
return union forward backward
end... | #!/usr/bin/env python
import sys
import string
def reactive_units():
forward = set([f'{char}{char.upper()}' for char in list(string.ascii_lowercase)])
backward = set([f'{char}{char.lower()}' for char in list(string.ascii_uppercase)])
return forward.union(backward)
def react(molecule, reactive_units):
... | Python | zaydzuhri_stack_edu_python |
comment array[Axes]
function axes_active self
begin
return flat at slice : n_plots :
end function | def axes_active(self) -> np.ndarray: # array[Axes]
return self.axes.flat[:self.n_plots] | Python | nomic_cornstack_python_v1 |
from bs4 import BeautifulSoup
import sys
import requests
from selenium import webdriver
import time
import csv
set driver = call Firefox
set url = string https://www.industrybuying.com/
call maximize_window
get driver url
sleep 5
set content = strip encode page_source string utf-8
set soup = call BeautifulSoup content ... | from bs4 import BeautifulSoup
import sys
import requests
from selenium import webdriver
import time
import csv
driver = webdriver.Firefox()
url = 'https://www.industrybuying.com/'
driver.maximize_window()
driver.get(url)
time.sleep(5)
content = driver.page_source.encode('utf-8').strip()
soup = BeautifulSoup(content,... | Python | zaydzuhri_stack_edu_python |
import scipy.linalg
import numpy as np
from tqdm import tqdm
function gibbs_sample G M num_iters
begin
string Gibbs sample player skills. Accepts: G - Game array G[i, 0] is winner of game i G[i, 1] is loser M - number of players num_iters - number of Gibbs iterations Returns: skill_samples - skill_samples[i, j] is samp... | import scipy.linalg
import numpy as np
from tqdm import tqdm
def gibbs_sample(G, M, num_iters):
"""
Gibbs sample player skills.
Accepts:
G - Game array G[i, 0] is winner of game i G[i, 1] is loser
M - number of players
num_iters - number of Gibbs iterations
Returns:
skill_samples... | Python | zaydzuhri_stack_edu_python |
function stop self
begin
info string sending stop signal to all hardware for waveform output
with _async
begin
for tuple d n in reversed sorted_device_list
begin
call _async d string stop
end
end
debug string sent stop signal to all hardware for waveform output
call _clean_pyro_cache
end function | def stop(self):
logging.info( 'sending stop signal to all hardware for waveform output' )
with self._async:
for d, n in reversed(self.sorted_device_list):
self._async(d, 'stop')
logging.debug( 'sent stop signal to all hardware for waveform output' )
self._clean_pyro_cache() | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
from utlis.GetFileContent import *
import re
function MatchRule matchData
begin
string 匹配模板并返回结果 :param matchData: query
set dataList = call GetData string ../generationData/dicarRule
comment dataList = ['是否是时间 {{时间段}} 有']
set dataLength = length dataList
set count = 0
for i in dataList
begin
set ... | # coding: utf-8
from utlis.GetFileContent import *
import re
def MatchRule(matchData):
"""
匹配模板并返回结果
:param matchData: query
"""
dataList = GetFileContent.GetData('../generationData/dicarRule')
# dataList = ['是否是时间 {{时间段}} 有']
dataLength = len(dataList)
count = 0
for i in dataLis... | Python | zaydzuhri_stack_edu_python |
function attack self other
begin
call is_attacked strength
end function | def attack(self, other):
other.is_attacked(self.strength) | Python | nomic_cornstack_python_v1 |
function hillclimber timetable iterations *args
begin
set scores = list
comment Iterates over a specified range.
for i in range iterations
begin
comment Apply optional added functions.
for function in args at 0
begin
call function timetable
end
score timetable
append scores objective_score
end
return scores
end functi... | def hillclimber(timetable, iterations, *args):
scores = []
# Iterates over a specified range.
for i in range(iterations):
# Apply optional added functions.
for function in args[0]:
function(timetable)
timetable.score()
scores.append(timetable.objective_score)
... | Python | nomic_cornstack_python_v1 |
class Solution extends object
begin
function removeDuplicates self nums
begin
set tuple i j = tuple 0 1
while j < length nums - 1
begin
if nums at i == nums at j + 1
begin
del nums at j
continue
end
set i = i + 1
set j = j + 1
end
return length nums
end function
end class | class Solution(object):
def removeDuplicates(self, nums):
i,j=0,1
while j<len(nums)-1:
if nums[i]==nums[j+1]:
del nums[j]
continue
i+=1
j+=1
return len(nums)
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
string Temperature Sensor Script. This python script is used to read temperature sensors on the 1wire bus of the raspberry pi and send the data to a mysql db
import MySQLdb
import os
import glob
import logging
import time
import threading
import shutil
import signal
set __kill__ = false
fun... | #!/usr/bin/env python
"""
Temperature Sensor Script.
This python script is used to read temperature sensors on the 1wire bus
of the raspberry pi and send the data to a mysql db
"""
import MySQLdb
import os
import glob
import logging
import time
import threading
import shutil
import signal
__kill__ = False
def safe... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
comment michael a.g. aïvázis
comment california institute of technology
comment (c) 1998-2012 all rights reserved
import pyre
from Functor import Functor
class Gaussian extends component
begin
string An implementation of the normal distribution with mean #@$\mu$@ and variance #@$\sigma^2$@... | # -*- coding: utf-8 -*-
#
# michael a.g. aïvázis
# california institute of technology
# (c) 1998-2012 all rights reserved
#
import pyre
from .Functor import Functor
class Gaussian(pyre.component, family="gauss.functor.gaussian",
implements=Functor):
"""
An implementation of the normal distribu... | Python | zaydzuhri_stack_edu_python |
function parse_node_results sess_time kernel_time_only=false threshold=0
begin
set node_name_list = list
set node_time = dict
set node_freq = dict
set node_provider = dict
set total = 0
for item in sess_time
begin
if item at string cat == string Node and string dur in item and string args in item and string op_name... | def parse_node_results(sess_time, kernel_time_only=False, threshold=0):
node_name_list = []
node_time = {}
node_freq = {}
node_provider = {}
total = 0
for item in sess_time:
if item["cat"] == "Node" and "dur" in item and "args" in item and "op_name" in item["args"]:
node_name... | Python | nomic_cornstack_python_v1 |
import turtle
import pandas
set screen = call Screen
title screen string U.S. States game
call addshape string blank_states_img.gif
call shape string blank_states_img.gif
set guessed_states = list
while length guessed_states < 50
begin
set answer = title call textinput title=string { length guessed_states } /50 States... | import turtle
import pandas
screen = turtle.Screen()
screen.title("U.S. States game")
screen.addshape("blank_states_img.gif")
turtle.shape("blank_states_img.gif")
guessed_states = []
while len(guessed_states) < 50:
answer = screen.textinput(title=f"{len(guessed_states)}/50 States Correct", prompt="Pass another sta... | Python | zaydzuhri_stack_edu_python |
while k < num
begin
set j = num - k
set i = i * j
set k = k + 1
end
set s = list string i
set k = 0
for i in s
begin
set k = k + integer i
end | while k < num:
j = num - k
i = i * j
k = k + 1
s = list(str(i))
k = 0
for i in s:
k = k + int(i) | Python | zaydzuhri_stack_edu_python |
function generate_tree_helper self file
begin
set command = list string iqtree string -s file string -m string LG+R7 string -B string 1000 string -T string AUTO string -seed string 3333
run command
end function | def generate_tree_helper(self, file):
command = [
'iqtree',
'-s',
file,
'-m',
'LG+R7',
'-B',
'1000',
'-T',
'AUTO',
'-seed',
'3333',
]
subprocess.run(command) | Python | nomic_cornstack_python_v1 |
import numpy as np
class Diem
begin
function __init__ self filename M=5
begin
set filename = filename
set char_frequency = dictionary
set char2id = dictionary
set id2char = dictionary
set vocab_size = 0
set char_embedding_size = 0
set char_embeddings = none
set M = M
set word2id = dictionary
set id2word = dictionary
se... | import numpy as np
class Diem():
def __init__(self, filename, M=5):
self.filename = filename
self.char_frequency = dict()
self.char2id = dict()
self.id2char = dict()
self.vocab_size = 0
self.char_embedding_size = 0
self.char_embeddings = None
self.M ... | Python | zaydzuhri_stack_edu_python |
function reorderedAttribute self index
begin
pass
end function | def reorderedAttribute(self, index):
pass | Python | nomic_cornstack_python_v1 |
function test_set_non_numeric self
begin
set pp = call PhysicalProperty
assert raises TypeError __set__ MockClassEmpty string not a number
end function | def test_set_non_numeric(self):
pp = PhysicalProperty()
self.assertRaises(TypeError, pp.__set__, MockClassEmpty, "not a number") | Python | nomic_cornstack_python_v1 |
comment encoding=utf-8
from SockClient import SockClient
import logging
import random
from STATIC_DATA import ADDR , TEAM_NAME
from AI import algorithm
from Tools import get_treasure_map
call basicConfig level=DEBUG format=string %(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s datefmt=string %a, %d ... | # encoding=utf-8
from SockClient import SockClient
import logging
import random
from STATIC_DATA import ADDR, TEAM_NAME
from AI import algorithm
from Tools import get_treasure_map
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
... | Python | zaydzuhri_stack_edu_python |
function menu_item_description self
begin
if _is_vegetarian is true
begin
return string Food item %s with menu index of %s added on %s with the price of %s, containing %s calories has a country origin of %s and its main ingredient is %s . Portion size is %s and the food is vegetarian % tuple _menu_item_name _menu_item_... | def menu_item_description(self):
if self._is_vegetarian is True:
return "Food item ""%s"" with menu index of %s added on %s with the price of %s, containing %s calories has a country origin of %s and its main ingredient is %s . Portion size is %s and the food is vegetarian" % (self._menu_item_name... | Python | nomic_cornstack_python_v1 |
from game_files.const import *
class Character
begin
string class for character creation
function __init__ self my_maze
begin
comment character sprites
set character = call convert_alpha
comment character position in cases and pixels
set case_x = 0
set case_y = 0
set _x = 0
set _y = 0
comment default image direction
se... | from game_files.const import *
class Character:
'''class for character creation'''
def __init__(self, my_maze):
#character sprites
self.character = py.image.load(ICON_MACGYVER).convert_alpha()
#character position in cases and pixels
self.case_x = 0
self.case_y = 0
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
comment Filename:changeEncode.py
import sys
import os
import chardet
function print_usage
begin
print string 功能:将指定文件或目录下的[指定编码方式]的文件转换为另一种编码 格式:changeEncode [file|directory] [charset] [match_charset] [file|directory]：文件/目录 [charset]:指定的字符集,默认为utf-8 [match_charset]... | #!/usr/bin/python
# -*- coding: utf-8 -*-
#Filename:changeEncode.py
import sys
import os
import chardet
def print_usage():
print('''功能:将指定文件或目录下的[指定编码方式]的文件转换为另一种编码
格式:changeEncode [file|directory] [charset] [match_charset]
[file|directory]：文件/目录
[charset]:指定的字符集,默认为utf-8
[match_charset]：期望转换的文件的字符集，若... | Python | zaydzuhri_stack_edu_python |
comment DFS(Depth-First Search)
function dfs graph v visited
begin
set visited at v = true
print v end=string
for i in graph at v
begin
if not visited at i
begin
call dfs graph i visited
end
end
end function
set graph = list list list 2 3 8 list 1 7 list 1 4 5 list 3 5 list 3 4 list 7 list 2 6 8 list 1 7
set visited =... | # DFS(Depth-First Search)
def dfs(graph, v, visited):
visited[v] = True
print(v, end=' ')
for i in graph[v]:
if not visited[i]:
dfs(graph, i, visited)
graph = [
[],
[2, 3, 8],
[1, 7],
[1, 4, 5],
[3, 5],
[3, 4],
[7],
[2, 6, 8],
[1, 7]
]
visited = [False] * len(graph)
dfs(graph, 1, vi... | Python | zaydzuhri_stack_edu_python |
function bruteForceTransport cows limit
begin
set cowWeight = sorted values cows
reverse cowWeight
end function | def bruteForceTransport(cows,limit):
cowWeight = sorted(cows.values())
cowWeight.reverse()
| Python | nomic_cornstack_python_v1 |
function forward self x mask
begin
comment Compute the parameters for the Bernoulli
set embeddings = call compute_embedding x
set dist_params = call predict_distribution embeddings
set dist_params = squeeze dist_params
comment Sample
set sampler = call Bernoulli probs=dist_params
set actions = random sample
comment Com... | def forward(self, x, mask):
# Compute the parameters for the Bernoulli
embeddings = self.compute_embedding(x)
dist_params = self.predict_distribution(embeddings)
dist_params = dist_params.squeeze()
# Sample
sampler = dist.Bernoulli(probs=dist_params)
actions = sa... | Python | nomic_cornstack_python_v1 |
import sys
function solution A
begin
set ending_here = list 0 * length A
set starting_here = list 0 * length A
for idx in range 1 length A
begin
set ending_here at idx = max 0 ending_here at idx - 1 + A at idx
end
for idx in reversed range length A - 1
begin
set starting_here at idx = max 0 starting_here at idx + 1 + A... | import sys
def solution(A):
ending_here = [0] * len(A)
starting_here = [0] * len(A)
for idx in range(1, len(A)):
ending_here[idx] = max(0, ending_here[idx-1] + A[idx])
for idx in reversed(range(len(A)-1)):
starting_here[idx] = max(0, starting_here[idx+1] + A[idx])
... | Python | zaydzuhri_stack_edu_python |
function importmodules package_or_toc ignore=none recurse=false silent=none
begin
string Imports all the sub-modules of a package, a useful technique for developing plugins. By default, this method will walk the directory structure looking for submodules and packages. You can also specify a __toc__ attribute on the pac... | def importmodules(package_or_toc, ignore=None, recurse=False, silent=None):
"""
Imports all the sub-modules of a package, a useful technique for developing
plugins. By default, this method will walk the directory structure looking
for submodules and packages. You can also specify a __toc__ attribute
... | Python | jtatman_500k |
function key_class updates image_strip image_rects is_white_key=true
begin
comment Naming convention: Variables used by the Key class as part of a
comment closure start with 'c_'.
comment State logic and shadows:
comment A key may cast a shadow upon the key to its left. A black key casts a
comment shadow on an adjacent... | def key_class(updates, image_strip, image_rects, is_white_key=True):
# Naming convention: Variables used by the Key class as part of a
# closure start with 'c_'.
# State logic and shadows:
#
# A key may cast a shadow upon the key to its left. A black key casts a
# shadow on an adjacent white k... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment _*_ coding:utf-8 _*_
from court import Court
class Court_book extends object
begin
function __init__ self
begin
string 初始化
set court_id = tuple string A string B string C string D
set court = call fromkeys court_id
set input_error_msg = string Error: the booking is invalid!
set book... | #!/usr/bin/env python
# _*_ coding:utf-8 _*_
from court import Court
class Court_book(object):
def __init__(self):
"""
初始化
"""
self.court_id = ('A', 'B', 'C', 'D')
self.court = {}.fromkeys(self.court_id)
self.input_error_msg = "Error: the booking is invalid!"
... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function solveSudoku self board
begin
string :type board: List[List[str]] :rtype: void Do not return anything, modify board in-place instead.
function isValid x y
begin
set temp = board at x at y
set board at x at y = string r
for i in range 9
begin
if board at i at y == temp
begin
r... | class Solution(object):
def solveSudoku(self, board):
"""
:type board: List[List[str]]
:rtype: void Do not return anything, modify board in-place instead.
"""
def isValid(x, y):
temp = board[x][y]
board[x][y] = 'r'
for i in range(9):
... | Python | zaydzuhri_stack_edu_python |
from collections import deque
import sys
set read = readline
set tuple n m = map int split right strip read
set queue = deque range 1 n + 1
set josephus = list
while queue
begin
if m > 1
begin
for _ in range m - 1
begin
comment n-1개는 밑으로 보낸다.
append queue call popleft
end
end
append josephus call popleft
end
comment p... | from collections import deque
import sys
read = sys.stdin.readline
n, m = map(int,read().rstrip().split())
queue = deque(range(1,n+1))
josephus = []
while queue:
if m > 1:
for _ in range(m-1):
# n-1개는 밑으로 보낸다.
queue.append(queue.popleft())
josephus.append(queue.poplef... | Python | zaydzuhri_stack_edu_python |
comment David Snider
comment 3/8/16
set data = split input
set already = list
set out = list
for w in data
begin
if w in already
begin
if w in out
begin
pass
end
else
begin
append out w
end
end
else
begin
append already w
end
end
sort out
for item in out
begin
print item end=string
end | #David Snider
#3/8/16
data = input().split()
already = []
out = []
for w in data:
if w in already:
if w in out:
pass
else:
out.append(w)
else:
already.append(w)
out.sort()
for item in out:
print(item,end=' ') | Python | zaydzuhri_stack_edu_python |
string This script pulls sequence information from the (few) pages that contain the html versions of them for various programs.. it also populates the Program table and SequenceDetails table
import pycurl
import re
comment this is because common LISP has corrupted me
function cdr somelist
begin
set newList = somelist
r... | """
This script pulls sequence information from the (few) pages that contain the html versions of them for various programs..
it also populates the Program table and SequenceDetails table
"""
import pycurl
import re
#this is because common LISP has corrupted me
def cdr(somelist):
newList = somelist
newList.r... | Python | zaydzuhri_stack_edu_python |
import unittest
from solution import Solution , TreeNode
class TestSolution extends TestCase
begin
function setUp self
begin
set s = call Solution
end function
function test_empty self
begin
set exp = none
set act = call invertTree none
assert equal act exp
end function
function test_one self
begin
set exp = call TreeN... | import unittest
from solution import Solution, TreeNode
class TestSolution(unittest.TestCase):
def setUp(self):
self.s = Solution()
def test_empty(self):
exp = None
act = self.s.invertTree(None)
self.assertEqual(act, exp)
def test_one(self):
exp = TreeNode(4, Tre... | Python | zaydzuhri_stack_edu_python |
import sqlite3
string A utility class to serve connection to the Database
class Connection
begin
function __init__ self
begin
set database = string app.db
set conn = call connect database
set row_factory = Row
end function
function get_db_connection self
begin
return conn
end function
end class | import sqlite3
"""
A utility class to serve connection to the Database
"""
class Connection:
def __init__(self):
self.database = "app.db"
self.conn = sqlite3.connect(self.database)
self.conn.row_factory = sqlite3.Row
def get_db_connection(self):
return self.conn
| Python | zaydzuhri_stack_edu_python |
class CoffeeMachine
begin
function __init__ self
begin
set resources = resources
set money = 0
end function
function check_resources self order
begin
for tuple ingredient amount in items MENU at order at string ingredients
begin
if resources at ingredient < amount
begin
return ingredient
end
end
return true
end functio... | class CoffeeMachine:
def __init__(self):
self.resources = resources
self.money = 0
def check_resources(self, order):
for ingredient, amount in MENU[order]["ingredients"].items():
if resources[ingredient] < amount:
return ingredient
return True
de... | Python | zaydzuhri_stack_edu_python |
comment programa q leia 5 valores numéricos e guarde-os em uma lista. Mostre qual foi o maior e o menor valor digitado e as
comment suas respectivas posições na lista
string #solucao incompleta, para fzer um loop q qndo houver mais de um numero igual imprima tdas as posições lista = [] cont = 0 for numero in range(0,5)... | # programa q leia 5 valores numéricos e guarde-os em uma lista. Mostre qual foi o maior e o menor valor digitado e as
# suas respectivas posições na lista
"""
#solucao incompleta, para fzer um loop q qndo houver mais de um numero igual imprima tdas as posições
lista = []
cont = 0
for numero in range(0,5):
numeros =... | Python | zaydzuhri_stack_edu_python |
function plot_tracks_3D trackDF polyline_df_xy polyline_df_yz output_fig_path=none plot_style=string white line_color=none fig_width=3 fig_height=3 fig_dpi=300 plot_xy_polylines=false plot_yz_polylines=false track_list=none tracks_highlight=none uniform_line_width=false elevation=45 azimuth=60 axis_off=false centering=... | def plot_tracks_3D(trackDF, polyline_df_xy, polyline_df_yz,
output_fig_path=None, plot_style='white', line_color=None,
fig_width=3, fig_height=3, fig_dpi=300,
plot_xy_polylines=False, plot_yz_polylines=False,
track_list=None, tracks_highlight=N... | Python | nomic_cornstack_python_v1 |
function connectionLost self reason
begin
pass
end function | def connectionLost(self,reason):
pass | Python | nomic_cornstack_python_v1 |
function update_hit title_url
begin
if call validate_json == string Bad JSON
begin
return call wrong_data string JSON has an error
end
comment get hit filtered by the title_url
set query_hit = filter by query title_url=title_url
comment get hit filtered by the title_url
try
begin
set hit = get query id
end
except Index... | def update_hit(title_url):
if validate_json() == "Bad JSON":
return wrong_data("JSON has an error")
# get hit filtered by the title_url
query_hit = Hits.query.filter_by(title_url=title_url)
# get hit filtered by the title_url
try:
hit = Hits.query.get(query_hit[0].id)
except Inde... | Python | nomic_cornstack_python_v1 |
import json
import nltk
import collections
function snippet termids termlist
begin
set returnstring = string
for id in termids
begin
set returnstring = returnstring + string ...
set surr_list = list
if id in termlist
begin
set index = index termlist id
for i in range index - 3 index + 3
begin
if i >= 0 and i < length... | import json
import nltk
import collections
def snippet(termids, termlist: list):
returnstring = ''
for id in termids:
returnstring += '...'
surr_list = []
if id in termlist:
index = termlist.index(id)
for i in range(index-3,index+3):
i... | Python | zaydzuhri_stack_edu_python |
function remove_vowels s
begin
comment pass
set s_list = list s
set result = list
set vowels = string aiueoAIUEO
for i in range length s_list
begin
if s_list at i not in vowels
begin
append result s_list at i
end
end
set s_str = join string result
return s_str
end function | def remove_vowels(s: str):
# pass
s_list = list(s)
result = []
vowels = "aiueoAIUEO"
for i in range(len(s_list)):
if s_list[i] not in vowels:
result.append(s_list[i])
s_str = ''.join(result)
return s_str | Python | nomic_cornstack_python_v1 |
function sravnenie *args
begin
set a = integer input string Введите первое число
set b = integer input string Введите второе число
if a > b
begin
return string a>b
end
else
if a < b
begin
return string a<b
end
else
if a == b
begin
return string a==b
end
end function
print call sravnenie | def sravnenie(*args):
a=int(input("Введите первое число "))
b=int(input("Введите второе число "))
if a>b:
return "a>b"
elif a<b:
return "a<b"
elif a==b:
return "a==b"
print(sravnenie())
| Python | zaydzuhri_stack_edu_python |
function is_uppercase_letter char
begin
if length char != 1
begin
return false
end
set ascii_value = ordinal char
return 65 <= ascii_value <= 90
end function | def is_uppercase_letter(char):
if len(char) != 1:
return False
ascii_value = ord(char)
return 65 <= ascii_value <= 90
| Python | jtatman_500k |
comment 被动产生
function demo
begin
1 + 1
comment 未获取到想要的数据，或者函数没有return，默认返回None
print call demo
end function | #被动产生
def demo():
1+1
print(demo()) #未获取到想要的数据，或者函数没有return，默认返回None
| Python | zaydzuhri_stack_edu_python |
function tempimagepath mode=string w+b suffix=string .png
begin
set fob = named temporary file mode=mode suffix=suffix delete=false
set fname = name
close fob
return fname
end function | def tempimagepath(mode='w+b', suffix='.png'):
fob = tempfile.NamedTemporaryFile(mode=mode, suffix=suffix, delete=False)
fname = fob.name
fob.close()
return fname | Python | nomic_cornstack_python_v1 |
function dataset_download_file self dataset file_name path=none force=false quiet=true
begin
if string / in dataset
begin
call validate_dataset_string dataset
set dataset_urls = split dataset string /
set owner_slug = dataset_urls at 0
set dataset_slug = dataset_urls at 1
end
else
begin
set owner_slug = call get_config... | def dataset_download_file(self,
dataset,
file_name,
path=None,
force=False,
quiet=True):
if '/' in dataset:
self.validate_dataset_string(datase... | Python | nomic_cornstack_python_v1 |
function has_tag lst tag
begin
if not is instance lst list
begin
set lst = list lst
end
for l in lst
begin
if tag == tag
begin
return true
end
end
for else
begin
return false
end
end function | def has_tag(lst, tag):
if not isinstance(lst, list):
lst = [lst]
for l in lst:
if l.tag == tag:
return True
else:
return False | Python | nomic_cornstack_python_v1 |
set tuple A B C = sorted list comprehension integer x for x in split strip input
print A * B * C % 2 | A, B, C = sorted([int(x) for x in input().strip().split()])
print(A * B * (C % 2)) | Python | zaydzuhri_stack_edu_python |
function get_size bytes suffix=string B
begin
set factor = 1024
for unit in list string string K string M string G string T string P
begin
if bytes < factor
begin
return string { bytes } { unit } { suffix }
end
set bytes = bytes / factor
end
end function | def get_size(bytes, suffix="B"):
factor = 1024
for unit in ["", "K", "M", "G", "T", "P"]:
if bytes < factor:
return f"{bytes:.2f}{unit}{suffix}"
bytes /= factor | Python | nomic_cornstack_python_v1 |
function get_input self
begin
return pop input_value 0
end function | def get_input(self):
return self.input_value.pop(0) | Python | nomic_cornstack_python_v1 |
function find_peaks data
begin
set peaks = list
for tuple i datum in enumerate data
begin
if 0 < i < length data - 1
begin
if data at i - 1 < datum > data at i + 1
begin
append peaks i
end
end
end
return peaks
end function
function find_valleys data
begin
set valleys = list
for tuple i datum in enumerate data
begin
i... | def find_peaks(data):
peaks = []
for i, datum in enumerate(data):
if 0 < i < len(data)-1:
if data[i-1] < datum > data[i+1]:
peaks.append(i)
return peaks
def find_valleys(data):
valleys = []
for i, datum in enumerate(data):
if 0 < i < len(data)-1:
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
class Line
begin
string Diese Klasse gepräsentiert das geometrische Objekt Line mit Startpunkt (p1) und Endpunkt (p2).
function __init__ self p1xy p2xy
begin
string Konstruktor für das Line-Objekt. :param p1xy: Startpunkt als Tuple (x, y) :param p2xy: Endpunkt als Tuple
end function
comment HIER KOMM... | import numpy as np
class Line:
"""
Diese Klasse gepräsentiert das geometrische Objekt Line mit Startpunkt (p1) und Endpunkt (p2).
"""
def __init__(self, p1xy, p2xy):
"""
Konstruktor für das Line-Objekt.
:param p1xy: Startpunkt als Tuple (x, y)
:param p2xy: Endpunkt als ... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
import numpy as np
string # 필터링 : bool형의 시퀀스를 지정하여 True인 것만 추출하여 칠터링 수행
set data = dict string fruits list string apple string orange string banana string strawberry string kiwifruit ; string time list 1 4 5 6 3 ; string year list 2001 2002 2001 2008 2006
set df = call DataFrame data
print df
commen... | import pandas as pd
import numpy as np
'''
# 필터링
: bool형의 시퀀스를 지정하여 True인 것만 추출하여 칠터링 수행
'''
data = {'fruits':['apple','orange','banana','strawberry','kiwifruit'],
'time':[1, 4, 5, 6, 3],
'year':[2001, 2002, 2001, 2008, 2006]}
df = pd.DataFrame(data)
print(df)
# fru... | Python | zaydzuhri_stack_edu_python |
function create_similarity_over_time decades
begin
comment sort decades from smallest to largest (earliest to last)
comment base model is the largest
sort decades key=lambda tup -> tup at 0
comment remove pre 1470 and post 1700
set decades = list comprehension d for d in decades if integer d at 0 < 1710 and integer d a... | def create_similarity_over_time(decades):
# sort decades from smallest to largest (earliest to last)
# base model is the largest
decades.sort(key=lambda tup: tup[0])
# remove pre 1470 and post 1700
decades = [d for d in decades if int(d[0]) < 1710 and int(d[0]) > 1460]
## compute alignments
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python2
comment -*- coding: utf-8 -*-
string Created on Sat Dec 9 23:52:39 2017 @author: apple
string Given two sorted integer arrays nums1 and nums2, merge nums2 into nums1 as one sorted array. Note: You may assume that nums1 has enough space (size that is greater or equal to m + n) to hold addit... | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 9 23:52:39 2017
@author: apple
"""
"""
Given two sorted integer arrays nums1 and nums2,
merge nums2 into nums1 as one sorted array.
Note:
You may assume that nums1 has enough space
(size that is greater or equal to m + n) to
hold additional ele... | Python | zaydzuhri_stack_edu_python |
import unittest
comment 1. 继承自unittest.TestCase
comment 2. case均以test开头
class Mytest extends TestCase
begin
comment test fixture
comment 每个用例开始
function setUp self
begin
print string start...
end function
comment test case
function test_001 self
begin
print string 001
end function
comment self.assertEquals("1","1") 断言
... | import unittest
#1. 继承自unittest.TestCase
#2. case均以test开头
class Mytest(unittest.TestCase):
#test fixture
def setUp(self): #每个用例开始
print("start...")
#test case
def test_001(self):
print("001")
# self.assertEquals("1","1") 断言
#test case
def test_00... | Python | zaydzuhri_stack_edu_python |
function assign_to_specs self builders
begin
for builder in builders
begin
set spec_match = call _best_matching_spec builder
if spec_match is none
begin
add _unmatched_builders builder
end
else
begin
add spec_match builder
end
end
end function | def assign_to_specs(self, builders):
for builder in builders:
spec_match = self._best_matching_spec(builder)
if spec_match is None:
self._unmatched_builders.add(builder)
else:
spec_match.add(builder) | Python | nomic_cornstack_python_v1 |
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
class MyW extends Widget
begin
set counter = 0
function on_touch_down self touch
begin
if button == string left
begin
call add_widget call Button text=string pos pos=pos id=string counter
set counter = counter + 1
end
else
if... | from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
class MyW(Widget):
counter = 0
def on_touch_down(self, touch):
if touch.button == 'left':
self.add_widget(Button(text=str(touch.pos), pos=touch.pos, id = str(self.counter)))
self.cou... | Python | zaydzuhri_stack_edu_python |
function read_file filename
begin
string Opens and reads a file, then returns a nested list with the elements of the file.
with open filename as file
begin
set file_list = list comprehension split lines string , for lines in call splitlines
end
return file_list
end function
function write_file filename nestedlist
begin... | def read_file(filename):
'''
Opens and reads a file, then returns a nested list with the elements of the file.
'''
with open(filename) as file:
file_list = [lines.split(',') for lines in file.read().splitlines()]
return file_list
def write_file(filename, nestedlist):
'''
Rewrites t... | Python | zaydzuhri_stack_edu_python |
function _water_balance awc pet precip
begin
comment flatten timeseries to a 1-D array
set pet = flatten pet
set precip = flatten precip
set total_months = shape at 0
comment allocate arrays for the water balance values
set ET = zeros tuple total_months
set PR = zeros tuple total_months
set R = zeros tuple total_months... | def _water_balance(awc, pet, precip):
# flatten timeseries to a 1-D array
pet = pet.flatten()
precip = precip.flatten()
total_months = pet.shape[0]
# allocate arrays for the water balance values
ET = np.zeros((total_months,))
PR = np.zeros((total_months,))
R = np.zeros((total_months,)... | Python | nomic_cornstack_python_v1 |
from typing import Iterable
import logging
from config_injection import get_and_cast , global_config , _log
set logger = call getLogger __name__
function inject_statics_from_config section
begin
string Inject config options into static variables of class. If you want injection into actual instance variables, use inject... | from typing import Iterable
import logging
from config_injection import get_and_cast, global_config, _log
logger = logging.getLogger(__name__)
def inject_statics_from_config(section: str):
"""
Inject config options into static variables of class.
If you want injection into actual instance variables, use ... | Python | zaydzuhri_stack_edu_python |
comment Aadiba Haque
comment 4/24/2020
comment Lab 12 Q5
function add_entry contacts name number
begin
if name not in contacts
begin
if length number == 10
begin
set valid = true
for num in number
begin
if not is digit num
begin
set valid = false
end
end
if valid
begin
set contacts at name = number
end
end
end
end func... | #Aadiba Haque
#4/24/2020
#Lab 12 Q5
def add_entry(contacts, name, number):
if name not in contacts:
if len(number) == 10:
valid = True
for num in number:
if not num.isdigit():
valid = False
if valid:
contacts[... | Python | zaydzuhri_stack_edu_python |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.