code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function read_binning_file file_name lmax
begin
set tuple bin_lo bin_hi bin_c = call loadtxt file_name unpack=true
set id = where bin_hi < lmax
set tuple bin_lo bin_hi bin_c = tuple bin_lo at id bin_hi at id bin_c at id
if bin_lo at 0 < 2
begin
set bin_lo at 0 = 2
end
set bin_hi = as type bin_hi int
set bin_lo = as typ... | def read_binning_file(file_name, lmax):
bin_lo,bin_hi,bin_c = plt.loadtxt(file_name,unpack=True)
id = np.where(bin_hi <lmax)
bin_lo,bin_hi,bin_c=bin_lo[id],bin_hi[id],bin_c[id]
if bin_lo[0]<2:
bin_lo[0]=2
bin_hi=bin_hi.astype(np.int)
bin_lo=bin_lo.astype(np.int)
bin_size=bin_hi-bin_... | Python | nomic_cornstack_python_v1 |
function frange start stop increment
begin
while start <= stop
begin
yield start
set start = start + increment
end
end function | def frange(start, stop, increment):
while(start <= stop):
yield start
start += increment | Python | zaydzuhri_stack_edu_python |
function is_installed self
begin
set result = run list string which string brotab
if returncode == 0
begin
return true
end
return false
end function | def is_installed(self):
result = subprocess.run(['which', 'brotab'])
if result.returncode == 0:
return True
return False | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
import sys
import re
import numpy as np
function main argv
begin
if length argv != 2
begin
print format string Usage: {} INPUT_FILE argv at 0
exit 1
end
set pattern = compile string #*@ (.*),(.*): (.*)x(.*)
set fabric = zeros tuple 1000 1000
with open argv at 1 string r encoding=string utf-8 a... | #!/usr/bin/python3
import sys
import re
import numpy as np
def main(argv):
if len(argv) != 2:
print("Usage: {} INPUT_FILE".format(argv[0]))
sys.exit(1)
pattern = re.compile("#*@ (.*),(.*): (.*)x(.*)")
fabric = np.zeros((1000, 1000))
with open(argv[1], "r", encoding="utf-8") as fin:
... | Python | zaydzuhri_stack_edu_python |
from frontend.configuration import FILE_BUCKET_NAME
import frontend.db
import simplejson as json
class File
begin
decorator classmethod
function key cls owner name
begin
return join string __ list owner name
end function
decorator classmethod
function get_file cls owner name
begin
set file_json = call get_item FILE_BUC... | from frontend.configuration import FILE_BUCKET_NAME
import frontend.db
import simplejson as json
class File():
@classmethod
def key(cls, owner, name):
return '__'.join([owner, name])
@classmethod
def get_file(cls, owner, name):
file_json = frontend.db.get_item(FILE_BUCKET_NAME, File.... | Python | zaydzuhri_stack_edu_python |
function test_part_icc_err_status self
begin
comment Set the partition status to an invalid status for this operation
set partition1 = get urihandler hmc string /api/partitions/1 true
set partition1 at string status = string starting
comment the function to be tested:
with raises HTTPError
begin
post hmc string /api/pa... | def test_part_icc_err_status(self):
# Set the partition status to an invalid status for this operation
partition1 = self.urihandler.get(self.hmc, '/api/partitions/1', True)
partition1['status'] = 'starting'
# the function to be tested:
with pytest.raises(HTTPError):
... | Python | nomic_cornstack_python_v1 |
function primes n
begin
set sieve = list true * n
for i in range 3 integer n ^ 0.5 + 1 2
begin
if sieve at i
begin
set sieve at slice i * i : : 2 * i = list false * n - i * i - 1 // 2 * i + 1
end
end
return list 2 + list comprehension i for i in range 3 n 2 if sieve at i
end function | def primes(n):
sieve = [True] * n
for i in range(3,int(n**0.5)+1, 2):
if sieve[i]:
sieve[i*i::2*i]=[False] * ((n-i*i-1)//(2*i)+1)
return [2] + [i for i in range(3, n, 2) if sieve[i]] | Python | nomic_cornstack_python_v1 |
for line in file
begin
set line = strip line string
set word = split line
set lines = lines + 1
set words = words + length word
set characters = characters + length line
end
close file
print string
print string No of Lines== lines
print string No of Words== words
print string No of Charactters== characters
print string | for line in file:
line = line.strip("\n")
word = line.split()
lines = lines + 1
words = words + len(word)
characters = characters + len(line)
file.close()
print("")
print("No of Lines==",lines)
print("No of Words==",words)
print("No of Charactters==",characters)
print("")
| Python | zaydzuhri_stack_edu_python |
comment Desenvolva um programa que leia o comprimento de três retas
comment e diga ao usuário se elas podem ou não formar um triângulo.
print string Olá, vamos formar um triangulo!
set r1 = decimal input string Digite a primeira reta:
set r2 = decimal input string Digite a segunda reta:
set r3 = decimal input string Di... | #Desenvolva um programa que leia o comprimento de três retas
#e diga ao usuário se elas podem ou não formar um triângulo.
print('Olá, vamos formar um triangulo!')
r1 = float(input('Digite a primeira reta: '))
r2 = float(input('Digite a segunda reta: '))
r3 = float(input('Digite a terceira reta: '))
if r1 < r2 + r3 and... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment _*_ coding: utf-8 _*_
comment Exercise 25: Even More Practice
function break_words stuff
begin
string This fucntion will break up wpords for us.
set words = split stuff string
return words
end function
function sort_words words
begin
string Sortes the words.
return sorted words
end... | #!/usr/bin/env python3
# _*_ coding: utf-8 _*_
# Exercise 25: Even More Practice
def break_words(stuff):
"""This fucntion will break up wpords for us."""
words = stuff.split(' ')
return words
def sort_words(words):
"""Sortes the words."""
return sorted(words)
def print_first_word(words):
"""... | Python | zaydzuhri_stack_edu_python |
function upload_material request username course_code
begin
if method == string POST
begin
set errors = dict
comment try to get user that upload file
comment if user log in
try
begin
set user = get objects username=username
if call ensure_login user == false
begin
return call JsonResponse dict string login string User... | def upload_material(request, username, course_code):
if request.method == "POST":
errors = {}
# try to get user that upload file
# if user log in
try:
user = User.objects.get(username=username)
if ensure_login(user) == False:
return ... | Python | nomic_cornstack_python_v1 |
function _do_ratio objects ax=false tal=false obj=false seg=false mul=false cos=false td=false options=false ylim=false xlim=false
begin
comment internal function to make a new mctal object with ratio values and plot it on ax
import numpy
import MCNPtools.tally
import MCNPtools.mctal
end function
comment input check | def _do_ratio(objects,ax=False,tal=False,obj=False,seg=False,mul=False,cos=False,td=False,options=False,ylim=False,xlim=False):
### internal function to make a new mctal object with ratio values and plot it on ax
import numpy
import MCNPtools.tally
import MCNPtools.mctal
### input check | Python | zaydzuhri_stack_edu_python |
function sink_update self sink_name filter_ destination unique_writer_identity=false
begin
comment parse name out of full resoure name
set name = split sink_name string / at - 1
set sink_pb = call LogSink name=name filter=filter_ destination=destination
set request = call UpdateSinkRequest sink_name=sink_name sink=sink... | def sink_update(
self,
sink_name,
filter_,
destination,
*,
unique_writer_identity=False,
):
name = sink_name.split("/")[-1] # parse name out of full resoure name
sink_pb = LogSink(
name=name,
filter=filter_,
destina... | Python | nomic_cornstack_python_v1 |
comment def process(user_input, nlu_data):
comment out_text = 'this is deposit.py'
comment output = {
comment 'bot_response_text': out_text,
comment 'context': 'None'
comment }
comment return output
import config
import sqlite3
import re
import createlog
function do_deposit username amount
begin
try
begin
set conn = ca... | # def process(user_input, nlu_data):
# out_text = 'this is deposit.py'
# output = {
# 'bot_response_text': out_text,
# 'context': 'None'
# }
# return output
import config
import sqlite3
import re
import createlog
def do_deposit(username,amount):
try:
conn = sqlite3.connect(... | Python | zaydzuhri_stack_edu_python |
comment should be a easy implementation problem
for i in range 10 99
begin
for j in range i + 1 100
begin
set s1 = string i
set s2 = string j
end
end | #should be a easy implementation problem
for i in range(10,99):
for j in range(i+1,100):
s1 = str(i)
s2 = str(j)
| Python | zaydzuhri_stack_edu_python |
function icon self
begin
return ICON_PRESENCE_HOLD
end function | def icon(self):
return ICON_PRESENCE_HOLD | Python | nomic_cornstack_python_v1 |
function run self command
begin
debug string running:%s on %s % tuple command instance_id
set status = 0
try
begin
set t = call exec_command command
end
except SSHException
begin
set status = 1
end
set std_out = read t at 1
set std_err = read t at 2
close t at 0
close t at 1
close t at 2
debug string stdout: %s % std_o... | def run(self, command):
boto.log.debug('running:%s on %s' % (command, self.server.instance_id))
status = 0
try:
t = self._ssh_client.exec_command(command)
except paramiko.SSHException:
status = 1
std_out = t[1].read()
std_err = t[2].read()
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
from __future__ import unicode_literals
import pylab
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from scipy.optimize import curve_fit
from scipy.stats import chisquare
function main
begin
set rcParams at string text.usetex = true
set rc... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import pylab
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from scipy.optimize import curve_fit
from scipy.stats import chisquare
def main():
matplotlib.rcParams['text.usetex'] = True
matplotlib.rcParam... | Python | zaydzuhri_stack_edu_python |
comment Probability of n d-sided dices to give a total of s
function prob n d s
begin
if s <= 0
begin
return 0
end
else
if n == 1 and s <= d
begin
return 1 / d
end
else
if n > 1
begin
set o = 0
for r in range 1 d + 1
begin
set o = o + call prob n - 1 d s - r * 1 / d
end
return o
end
else
begin
return 0
end
end function... | # Probability of n d-sided dices to give a total of s
def prob(n, d, s):
if s <= 0:
return 0
elif n == 1 and s <= d:
return 1 / d
elif n > 1:
o = 0
for r in range(1, d + 1):
o += prob(n - 1, d, s - r) * 1 / d
return o
else:
return 0
# What is... | Python | zaydzuhri_stack_edu_python |
function __init__ self filepath
begin
comment Convert to path instance if passed a string
if is instance filepath str
begin
set filepath : Path = call Path filepath
end
comment Assert that the file exist
try
begin
assert exists filepath
end
except AssertionError
begin
raise FileNotFoundError
end
comment Attch object pr... | def __init__(self, *,
filepath: Union[str, Path]
) -> None:
# Convert to path instance if passed a string
if isinstance(filepath, str):
filepath: Path = Path(filepath)
# Assert that the file exist
try:
assert filepath.exists()
... | Python | nomic_cornstack_python_v1 |
comment -*- coding:utf-8 -*-
from PIL import Image
set img1 = open string test.png
show
comment getbands() - 显示该图像的所有通道，返回一个tuple
set bands = call getbands | # -*- coding:utf-8 -*-
from PIL import Image
img1 = Image.open("test.png")
img1.show()
# getbands() - 显示该图像的所有通道，返回一个tuple
bands = img1.getbands() | Python | zaydzuhri_stack_edu_python |
function net_return self
begin
set returns = __market_value + __cash / __original_value - 1
return returns
end function | def net_return(self) -> int:
returns = ((self.__market_value + self.__cash)/self.__original_value) - 1
return returns | Python | nomic_cornstack_python_v1 |
function read_file fp
begin
set word_dict = dict
for word in fp
begin
set word = strip word
if length word < 3
begin
pass
end
else
if string - in word
begin
pass
end
else
if string ' in word
begin
pass
end
else
begin
lower word
set word_dict at word = 1
end
end
return word_dict
end function | def read_file(fp):
word_dict = {}
for word in fp:
word = word.strip()
if len(word) < 3:
pass
elif '-' in word:
pass
elif "'" in word:
pass
else:
word.lower()
word_dict[word] = 1
return word_dict | Python | nomic_cornstack_python_v1 |
import sys
import csv
import random
import logging
set options = list string wanna top up string wanna scoop
set fortune = list string успех string фейл
set total_attempt = 0
set scoop_attempt = 0
set top_attempt = 0
set total_scoop = 0
set total_top = 0
set total_failed_scoop = 0
set total_failed_top = 0
set scoop_mis... | import sys
import csv
import random
import logging
options = ['wanna top up', 'wanna scoop']
fortune = ['успех', 'фейл']
total_attempt = 0
scoop_attempt = 0
top_attempt = 0
total_scoop = 0
total_top = 0
total_failed_scoop = 0
total_failed_top = 0
scoop_mistake = 0
top_mistake = 0
format = '%(asctim... | Python | zaydzuhri_stack_edu_python |
function plot_violin res
begin
set tuple fig ax = call subplots figsize=tuple 5 5
set data = list
set labels = list
for k in keys res
begin
append data res at k
append labels k
end
call violinplot data showmeans=false showmedians=true
call set_title string Violin plot
comment adding horizontal grid lines
grid true
ca... | def plot_violin(res):
fig, ax = plt.subplots(figsize=(5, 5))
data = []
labels = []
for k in res.keys():
data.append(res[k])
labels.append(k)
ax.violinplot(data, showmeans=False, showmedians=True)
ax.set_title('Violin plot')
# adding horizontal grid lines
ax.yaxis.grid(Tru... | Python | nomic_cornstack_python_v1 |
function read_cpu_usage
begin
set cpuInfo = ordered dictionary
with open string /proc/stat as f
begin
for line in f
begin
set l = split line
if length l < 5
begin
continue
end
if starts with l at 0 string cpu
begin
set cpuInfo at l at 0 = l
end
end
end
return cpuInfo
end function | def read_cpu_usage():
cpuInfo = OrderedDict()
with open('/proc/stat') as f:
for line in f:
l = line.split()
if len(l) < 5:
continue
if l[0].startswith('cpu'):
cpuInfo[l[0]] = l
return cpuInfo | Python | nomic_cornstack_python_v1 |
import sys
import random
import threading
import numpy as np
import time
import math
from uart import uart | import sys
import random
import threading
import numpy as np
import time
import math
from uart import uart
| Python | zaydzuhri_stack_edu_python |
class Solution
begin
comment @param A : list of integers
comment @return a list of integers
function plusOne self A
begin
if A at 0 == 0 and length A == 1
begin
set A at 0 = 1
return A
end
comment Remove front zero from the list
for item in A
begin
if item == 0
begin
set A = A at slice 1 : :
end
else
begin
break
end
... | class Solution:
# @param A : list of integers
# @return a list of integers
def plusOne(self, A):
if A[0] == 0 and len(A) == 1:
A[0] = 1
return A
# Remove front zero from the list
for item in A:
if item == 0:
A = A[1:]
e... | Python | zaydzuhri_stack_edu_python |
function create cls name
begin
return call create name=name
end function | def create(cls, name):
return cls.objects.create(name=name) | Python | nomic_cornstack_python_v1 |
function collect_archive_information self
begin
call update_extra_data dict string filename name ; string size st_size ; none call multi_checksums archive_path
end function | def collect_archive_information(self):
self.project.update_extra_data(
{
"filename": self.archive_path.name,
"size": self.archive_path.stat().st_size,
**multi_checksums(self.archive_path),
}
) | Python | nomic_cornstack_python_v1 |
comment script is a text file containing the statements that comprise a Python program. Once you have created the script, you can execute #it over and over without having to retype it each time. Scripts are editable.
from sys import argv
comment read the WYSS section for how to run this
set tuple script first second th... | #script is a text file containing the statements that comprise a Python program. Once you have created the script, you can execute #it over and over without having to retype it each time. Scripts are editable.
from sys import argv
# read the WYSS section for how to run this
script, first, second, third = argv
print("... | Python | zaydzuhri_stack_edu_python |
import random
comment DNA : Unique information each entity holds
class DNA extends object
begin
function __init__ self color=none
begin
if color == none
begin
set gene = 0
end
else
begin
set gene = color
end
end function
function __hash__ self
begin
return gene
end function
function mutate self mutationRate
begin
if ra... | import random
#### DNA : Unique information each entity holds
class DNA(object):
def __init__(self, color = None):
if ( color==None): self.gene = 0
else : self.gene = color
def __hash__(self):
return self.gene
def mutate(self, mutationRate):
... | Python | zaydzuhri_stack_edu_python |
function get_all_games self
begin
set games = string
for i in range 0 call llen list_name
begin
set games = games + decode call lindex list_name i string utf-8 + string
end
set games = games or string Sorry. No recent game found in your searches
return games
end function | def get_all_games(self) -> str:
games = ""
for i in range(0, redisClient.llen(self.list_name)):
games += redisClient.lindex(self.list_name, i).decode("utf-8") + "\n"
games = games or "Sorry. No recent game found in your searches"
return games | Python | nomic_cornstack_python_v1 |
function update_application_resource_lifecycle ApplicationName=none ResourceLifecycleConfig=none
begin
pass
end function | def update_application_resource_lifecycle(ApplicationName=None, ResourceLifecycleConfig=None):
pass | Python | nomic_cornstack_python_v1 |
string Project Euler Problem 18 http://projecteuler.net/index.php?section=problems&id=18 By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23. 3 7 4 2 4 6 8 5 9 3 That is, 3 + 7 + 4 + 9 = 23. Find the maximum total from top to bottom of... | """
Project Euler Problem 18
http://projecteuler.net/index.php?section=problems&id=18
By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23.
3
7 4
2 4 6
8 5 9 3
That is, 3 + 7 + 4 + 9 = 23.
Find the maximum total from top to bottom ... | Python | zaydzuhri_stack_edu_python |
import pyautogui
import time
import pyperclip
import json
import requests
from datetime import datetime
call click 94 1059
sleep 1
call typewrite string kakaotalk
sleep 1
call moveTo 94 520
sleep 1
call doubleClick
sleep 20
call click 838 338
sleep 1
call click 1082 276
sleep 1
copy pyperclip string 3학년 애반(선미쌤)
call ho... | import pyautogui
import time
import pyperclip
import json
import requests
from datetime import datetime
pyautogui.click(94,1059)
time.sleep(1)
pyautogui.typewrite("kakaotalk")
time.sleep(1)
pyautogui.moveTo(94,520)
time.sleep(1)
pyautogui.doubleClick()
time.sleep(20)
pyautogui.click(838,338)
time.sleep(1)
pyautogui.cl... | Python | zaydzuhri_stack_edu_python |
function draw self canvas
begin
set left = pos at 0
set width = width
set height = call getHeight
set top = pos at 1 - height / 2
comment outline perimeter
set x = 0.5 * angle * width
set A = tuple left top
set C = tuple left top + height
set E = tuple left + 0.5 * width top + height + x
set D = tuple left + width C at... | def draw(self, canvas):
left = self.pos[0]
width = self.width
height = self.getHeight()
top = self.pos[1] - height/2
# outline perimeter
x = 0.5 * self.angle * width
A = (left, top)
C = (left, top + height)
E = (left + 0.5 * width, top + height + x)
D = (left + width, C[1])
B = (left + width, to... | Python | nomic_cornstack_python_v1 |
function close self
begin
return _close
end function | def close(self) -> float:
return self._close | Python | nomic_cornstack_python_v1 |
function fetch_sample_data self table
begin
set sampler = call DatalakeSampler session=client table=data_frame_list profile_sample_config=profile_sample_config partition_details=partition_details profile_sample_query=profile_query
return call fetch_dl_sample_data
end function | def fetch_sample_data(self, table) -> TableData:
sampler = DatalakeSampler(
session=self.client,
table=self.data_frame_list,
profile_sample_config=self.profile_sample_config,
partition_details=self.partition_details,
profile_sample_query=self.profile_q... | Python | nomic_cornstack_python_v1 |
function test_rotate_left_reassigns_root small_tree
begin
call _rotate_left root
assert value == 80
end function | def test_rotate_left_reassigns_root(small_tree):
small_tree._rotate_left(small_tree.root)
assert small_tree.root.value == 80 | Python | nomic_cornstack_python_v1 |
function graph_transformation_answer
begin
set correct_option = string D
print string The correct answer is: { correct_option }
return correct_option
end function
comment Call the function to see the output
call graph_transformation_answer | def graph_transformation_answer():
correct_option = 'D'
print(f"The correct answer is: {correct_option}")
return correct_option
# Call the function to see the output
graph_transformation_answer() | Python | dbands_pythonMath |
import requests , sqlite3
from bs4 import BeautifulSoup
set url = string https://news.google.com/topics/CAAqJQgKIh9DQkFTRVFvSUwyMHZNR3QwTlRFU0JYcG9MVlJYS0FBUAE?hl=zh-TW&gl=TW&ceid=TW%3Azh-Hant
function cleanup dom
begin
set title = list comprehension call getText for tt in find all dom string a string DY5T1d
set source... | import requests, sqlite3
from bs4 import BeautifulSoup
url = 'https://news.google.com/topics/CAAqJQgKIh9DQkFTRVFvSUwyMHZNR3QwTlRFU0JYcG9MVlJYS0FBUAE?hl=zh-TW&gl=TW&ceid=TW%3Azh-Hant'
def cleanup(dom):
title = [tt.getText() for tt in dom.find_all('a', 'DY5T1d')]
source = [s.getText() for s in dom.find_all('a', cla... | Python | zaydzuhri_stack_edu_python |
for i in listofpeople
begin
set fronthalf = i at slice 0 : 7 :
set backhalf = i at slice 7 : :
set thelistofrows = listofrows
set thelistofcolumns = listofcolumns
for z in fronthalf
begin
if z == string F
begin
set thelistofrows = thelistofrows at slice : integer length thelistofrows / 2 :
end
else
if z == string ... | for i in listofpeople:
fronthalf = i[0:7]
backhalf = i[7:]
thelistofrows = listofrows
thelistofcolumns = listofcolumns
for z in fronthalf:
if z =='F':
thelistofrows = thelistofrows[:int((len(thelistofrows)/2))]
elif z == 'B':
... | Python | zaydzuhri_stack_edu_python |
function _get_extract_iter self
begin
comment type: () -> Iterator[TableMetadata]
for tuple key group in group by call _get_raw_extract_iter _get_table_key
begin
set columns = list
for row in group
begin
set last_row = row
append columns call ColumnMetadata row at string col_name row at string col_description row at s... | def _get_extract_iter(self):
# type: () -> Iterator[TableMetadata]
for key, group in groupby(self._get_raw_extract_iter(), self._get_table_key):
columns = []
for row in group:
last_row = row
columns.append(ColumnMetadata(row['col_name'], row['col_... | Python | nomic_cornstack_python_v1 |
function test_get_albums_query_param self id_name_elms service_config request
begin
set return_value = id_name_elms
set args at string query = string Dummy
set params = parameters request request
set service = call AvalonMetadataService service_config
set results = call get_albums params
assert results == id_name_elms ... | def test_get_albums_query_param(self, id_name_elms, service_config, request):
service_config.search.search_albums.return_value = id_name_elms
request.args['query'] = 'Dummy'
params = avalon.web.request.Parameters(request)
service = avalon.web.services.AvalonMetadataService(service_confi... | Python | nomic_cornstack_python_v1 |
function train self inputData BATCH_SIZE=64 lstm_hidden_cells=list 150 100 epochs=50 earlystop_patience=5
begin
set data = call prepare_data inputData
call create_model lstm_hidden_cells
set batch_size = BATCH_SIZE
set earlystop = call EarlyStopping monitor=string loss min_delta=0 patience=earlystop_patience verbose=0 ... | def train(self, inputData, BATCH_SIZE=64, lstm_hidden_cells=[150, 100], epochs=50, earlystop_patience=5):
self.data = self.prepare_data(inputData)
self.create_model(lstm_hidden_cells)
self.batch_size = BATCH_SIZE
earlystop = EarlyStopping(
monitor='loss', min_delta=0, patience=earlystop_patience, verbose=0... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- encoding: utf-8 -*-
import sys
import codecs
from math import sqrt
import datetime
import MySQLdb
import gensim
import gensim.parsing
function handler
begin
return call connect host=string localhost port=3306 user=string twitter passwd=string db=string twitter use_unicode=1
end... | #!/usr/bin/env python
#-*- encoding: utf-8 -*-
import sys
import codecs
from math import sqrt
import datetime
import MySQLdb
import gensim
import gensim.parsing
def handler():
return MySQLdb.connect(
host = "localhost",
port = 3306,
user = "twitter",
passwd = "",
db = "twitter",
use_unicode=1
)
def cr... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
import dbus
import sys
function set_br level
begin
set bus = call SystemBus
set kbd_blight_proxy = call get_object string org.freedesktop.UPower string /org/freedesktop/UPower/KbdBacklight
set kbd_blight = call Interface kbd_blight_proxy string org.freedesktop... | #!/usr/bin/env python3
#-*- coding: utf-8 -*-
import dbus
import sys
def set_br(level:int):
bus = dbus.SystemBus()
kbd_blight_proxy = bus.get_object('org.freedesktop.UPower', '/org/freedesktop/UPower/KbdBacklight')
kbd_blight = dbus.Interface(kbd_blight_proxy, 'org.freedesktop.UPower.KbdBacklight')
m... | Python | zaydzuhri_stack_edu_python |
function optimization_parameters self topology
begin
set parameters = zeros call number_of_parameters
for tuple pkey parameter in items parameters
begin
set parameters at pkey = call start_value topology
end
return parameters
end function | def optimization_parameters(self, topology):
parameters = np.zeros(self.number_of_parameters())
for pkey, parameter in self.parameters.items():
parameters[pkey] = parameter.start_value(topology)
return parameters | Python | nomic_cornstack_python_v1 |
function posterior_prediction self
begin
if __posterior_prediction is not none
begin
return __posterior_prediction
end
else
begin
if predictions is not none
begin
try
begin
if nnz_obs == 0
begin
log string no non-zero obs, posterior equals prior
return prior_prediction
end
log string propagating posterior to prediction... | def posterior_prediction(self):
if self.__posterior_prediction is not None:
return self.__posterior_prediction
else:
if self.predictions is not None:
try:
if self.pst.nnz_obs == 0:
self.log("no non-zero obs, posterior eq... | Python | nomic_cornstack_python_v1 |
function get_targets self sampling_results rcnn_train_cfg concat=true
begin
set pos_proposals = list comprehension pos_bboxes for res in sampling_results
set neg_proposals = list comprehension neg_bboxes for res in sampling_results
set pos_gt_bboxes = list comprehension pos_gt_bboxes for res in sampling_results
set pos... | def get_targets(self,
sampling_results: List[SamplingResult],
rcnn_train_cfg: ConfigDict,
concat: bool = True) -> tuple:
pos_proposals = [res.pos_bboxes for res in sampling_results]
neg_proposals = [res.neg_bboxes for res in sampling_results]
... | Python | nomic_cornstack_python_v1 |
import os
import argparse
import math
import xml.etree.ElementTree as ET
function main
begin
comment Commandline arguments
set parser = call ArgumentParser
call add_argument string -i string --in dest=string inputfile required=true
call add_argument string -o string --out dest=string outputfile default=string
set args ... | import os
import argparse
import math
import xml.etree.ElementTree as ET
def main():
# Commandline arguments
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--in", dest="inputfile", required=True)
parser.add_argument("-o", "--out", dest="outputfile", default="")
args = parser.parse_ar... | Python | zaydzuhri_stack_edu_python |
function sort_list_of_strings list_of_strings
begin
sort list_of_strings
for string in list_of_strings
begin
print string
end
end function | def sort_list_of_strings(list_of_strings):
list_of_strings.sort()
for string in list_of_strings:
print(string)
| Python | flytech_python_25k |
function add self name value
begin
if name in _data and not _ignore_clashes
begin
set l = _data at name
if has attribute l string extend
begin
comment it is already a list
append l value
end
else
begin
set _data at name = list l value
end
end
else
begin
set name value
end
end function | def add(self, name, value):
if name in self._data and not self._ignore_clashes:
l = self._data[name]
if hasattr(l, 'extend'):
# it is already a list
l.append(value)
else:
self._data[name] = [l, value]
else:
s... | Python | nomic_cornstack_python_v1 |
function getCommand self
begin
comment check if currently recalculating ==> wait
if recalculate
begin
return WAIT
end
comment check if no route is available ==> turn around to expand map
if route == none
begin
return TURN_RIGHT
end
set position = call getpos
comment check if target is reached and if new targets are ava... | def getCommand(self):
#check if currently recalculating ==> wait
if(self.recalculate): return self.commands.WAIT
#check if no route is available ==> turn around to expand map
if(self.route == None): return self.commands.TURN_RIGHT
position = self.slam.getpos()
#check if... | Python | nomic_cornstack_python_v1 |
import time
import random
import opc
from colors import *
set ADDRESS = string 192.168.7.2:7890
set no_of_matrices = 4
set leds = 100 * no_of_matrices
comment Create a client object
set client = call Client ADDRESS
comment Test if it can connect | import time
import random
import opc
from colors import *
ADDRESS = '192.168.7.2:7890'
no_of_matrices = 4
leds = 100*no_of_matrices
# Create a client object
client = opc.Client(ADDRESS)
# Test if it can connect | Python | zaydzuhri_stack_edu_python |
string Shell commands of the drupalindustry.scripts package.
comment import ConfigParser
from optparse import OptionParser
import os
import subprocess
import sys
class DrupalIndustryCommand extends object
begin
string Proxy to scripts in bin/.
function __init__ self argv=list
begin
set argv = argv
set config_file = non... | """Shell commands of the drupalindustry.scripts package."""
#import ConfigParser
from optparse import OptionParser
import os
import subprocess
import sys
class DrupalIndustryCommand(object):
"""Proxy to scripts in bin/."""
def __init__(self, argv=[]):
self.argv = argv
self.config_file = None
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment -*- coding: UTF-8 -*-
from vectorizer import cluster_paragraphs
from random import shuffle
from preprocessing import mythril_process , oyente_process , slither_process , listToString
set mythril_filename = string scanner_res/my_visibility_not_set.txt
set oyente_filename = string scanner... | #!/usr/bin/python
# -*- coding: UTF-8 -*-
from vectorizer import cluster_paragraphs
from random import shuffle
from preprocessing import mythril_process, oyente_process, slither_process, listToString
mythril_filename = 'scanner_res/my_visibility_not_set.txt'
oyente_filename = 'scanner_res/oy_visibility_not_set.txt'
sl... | Python | zaydzuhri_stack_edu_python |
import ccxt
import os
import datetime
import json
import sys
set exchange = call ftx
set exc_name = replace name string string
set symbolForThis = string
function main
begin
if length argv not in list 2 3
begin
exit string Usage: python CcxtData.py <SYMBOL>
end
set symbolForThis = argv at 1 + string -PERP
print call ... | import ccxt
import os
import datetime
import json
import sys
exchange = ccxt.ftx()
exc_name = exchange.name.replace(" ", "")
symbolForThis = ""
def main():
if len(sys.argv) not in [2, 3]:
sys.exit("Usage: python CcxtData.py <SYMBOL>")
symbolForThis = sys.argv[1]+'-PERP'
print(getTickerPrice(symb... | Python | zaydzuhri_stack_edu_python |
import time
from Аlg_sort import *
function bench *funcs arr count_iter=10
begin
comment Замеряет скорость работы функции(функций) для заданного списка
set dict_bench = dict
for func in funcs
begin
set time_sum = 0
for i in range count_iter
begin
set arr_copy = arr at slice : :
set start = time
set s = call func ar... | import time
from Аlg_sort import *
def bench(*funcs, arr, count_iter=10):
# Замеряет скорость работы функции(функций) для заданного списка
dict_bench = {}
for func in funcs:
time_sum = 0
for i in range(count_iter):
arr_copy = arr[:]
start = time.time()
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import math
import os
import sys
import time
from geometry_msgs.msg import WrenchStamped
import rospy
import trajectory_msgs.msg
import actionlib
from actionlib_msgs.msg import GoalStatus
from tmc_control_msgs.msg import GripperApplyEffortAction , GripperApplyEffortGoal
set FT_SENSOR_TOPIC ... | #!/usr/bin/env python
import math
import os
import sys
import time
from geometry_msgs.msg import WrenchStamped
import rospy
import trajectory_msgs.msg
import actionlib
from actionlib_msgs.msg import GoalStatus
from tmc_control_msgs.msg import (
GripperApplyEffortAction,
GripperApplyEffortGoal
)
FT_SENSOR_TO... | Python | zaydzuhri_stack_edu_python |
function startup_user_interaction_required self
begin
return plugin in list string manual string user-interact string user-interact-verify
end function | def startup_user_interaction_required(self):
return self.plugin in ['manual', 'user-interact',
'user-interact-verify'] | Python | nomic_cornstack_python_v1 |
import itertools
set file = open string input
set data = list comprehension integer l for l in read lines file
for pair in call combinations data 3
begin
if pair at 0 + pair at 1 + pair at 2 == 2020
begin
print string Solution: + string pair at 0 * pair at 1 * pair at 2
end
end | import itertools
file = open("input")
data = [int(l) for l in file.readlines()];
for pair in itertools.combinations(data, 3):
if pair[0]+pair[1]+pair[2] == 2020:
print("Solution: "+str(pair[0]*pair[1]*pair[2])) | Python | zaydzuhri_stack_edu_python |
string Object-oriented programming (OOP) is a programming paradigm that uses objects and their interactions to design applications and computer programs. There are some basic programming concepts in OOP: Abstraction Polymorphism Encapsulation Inheritance The abstraction is simplifying complex reality by modeling classe... | """
Object-oriented programming (OOP) is a programming paradigm that uses objects and their interactions to
design applications and computer programs. There are some basic programming concepts in OOP:
Abstraction
Polymorphism
Encapsulation
Inheritance
The abstraction is simpl... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
comment Copyright 2020 Yedaffon Author.
comment Licensed under the Apache License, Version 2.0 (the "License");
comment you may not use this file except in compliance with the License.
comment You may obtain a copy of the License at
comment http://www.apache.org/licenses/LICENSE-2.0
comment Unless ... | # coding=utf-8
# Copyright 2020 Yedaffon Author.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | Python | zaydzuhri_stack_edu_python |
string 给定一个字符串列表，你可以将这些字符串连接成一个循环字符串，对于每个字符串，你可以选择是否翻转它。在所有可能的循环字符串中，你需要分割循环字符串（这将使循环字符串变成一个常规的字符串），然后找到字典序最大的字符串。 具体来说，要找到字典序最大的字符串，你需要经历两个阶段： 将所有字符串连接成一个循环字符串，你可以选择是否翻转某些字符串，并按照给定的顺序连接它们。 在循环字符串的某个位置分割它，这将使循环字符串从分割点变成一个常规的字符串。 你的工作是在所有可能的常规字符串中找到字典序最大的一个。 示例: 输入: "abc", "xyz" 输出: "zyxcba" 解释: 你可以得到循环字符串 "-abcxyz-", "... | """
给定一个字符串列表，你可以将这些字符串连接成一个循环字符串，对于每个字符串，你可以选择是否翻转它。在所有可能的循环字符串中，你需要分割循环字符串（这将使循环字符串变成一个常规的字符串），然后找到字典序最大的字符串。
具体来说，要找到字典序最大的字符串，你需要经历两个阶段：
将所有字符串连接成一个循环字符串，你可以选择是否翻转某些字符串，并按照给定的顺序连接它们。
在循环字符串的某个位置分割它，这将使循环字符串从分割点变成一个常规的字符串。
你的工作是在所有可能的常规字符串中找到字典序最大的一个。
示例:
输入: "abc", "xyz"
输出: "zyxcba"
解释: 你可以得到循环字符串 "-abcxyz-", "-a... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Sun Jan 17 06:02:45 2021 @author: C64990
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
function upd_v u a t
begin
return u + a * t
end function
function upd_s u a t
begin
return u * t + 0.5 * a * t ^ 2
end function
function upd_x_u x0 u0 a tau
beg... | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 17 06:02:45 2021
@author: C64990
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def upd_v(u, a, t):
return u + a*t
def upd_s(u, a, t):
return u*t + 0.5*a*t**2
def upd_x_u(x0, u0, a, tau):
if u0 > 0:
de... | Python | zaydzuhri_stack_edu_python |
function empty_list
begin
from linked_list import LinkedList
set new_list = call LinkedList
return new_list
end function | def empty_list():
from linked_list import LinkedList
new_list = LinkedList()
return new_list | Python | nomic_cornstack_python_v1 |
function normdat inpath outpath
begin
comment load annotations of this set
with open join path inpath set string anno_%s.pickle % set string rb as fi
begin
set anno_all = load pickle fi
end
comment iterate samples of the set
set itr = 0
for tuple sample_id anno in items anno_all
begin
comment load data
set impath_img =... | def normdat(inpath, outpath):
# load annotations of this set
with open(os.path.join(inpath, set, 'anno_%s.pickle' % set), 'rb') as fi:
anno_all = pickle.load(fi)
# iterate samples of the set
itr = 0
for sample_id, anno in anno_all.items():
# load data
impath_img = os.path.jo... | Python | nomic_cornstack_python_v1 |
import os
import pandas as pd
from sklearn.utils import shuffle
set image_list = list
set label_list = list
function remote_path
begin
string sample: image: /root/data/LaneSeg/Image_Data/Road02/Record001/Camera 5/170927_064620420_Camera_6.jpg label: /root/data/LaneSeg/Gray_Label/Label_road02/Label/Record001/Camera 51... | import os
import pandas as pd
from sklearn.utils import shuffle
image_list = []
label_list = []
def remote_path():
"""
sample:
image: /root/data/LaneSeg/Image_Data/Road02/Record001/Camera 5/170927_064620420_Camera_6.jpg
label: /root/data/LaneSeg/Gray_Label/Label_road02/Label/Record001/Camera 5... | Python | zaydzuhri_stack_edu_python |
from __future__ import annotations
import typing as t
import contextlib
class GetOrDefault
begin
set data : Optional at tuple dict list str
function __init__ self dict_list_str
begin
set data = dict_list_str
end function
function __call__ self item default=none
begin
string get or default
try
begin
comment key/index
re... | from __future__ import annotations
import typing as t
import contextlib
class GetOrDefault:
data: t.Optional[dict, list, str]
def __init__(self, dict_list_str: t.Optional[dict, list, str]):
self.data = dict_list_str
def __call__(self, item, default=None):
"""
get or default
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import sys
set buf = string
for line in stdin
begin
set line = right strip line string
if starts with line string
begin
set buf = buf + line at slice 1 : :
end
else
begin
print buf
set buf = line
end
end
if buf
begin
print buf
end | #!/usr/bin/env python
import sys
buf = ""
for line in sys.stdin:
line = line.rstrip("\r\n")
if line.startswith(" "):
buf += line[1:]
else:
print(buf)
buf = line
if buf:
print(buf)
| Python | zaydzuhri_stack_edu_python |
from django import forms
from models import product_person
class Personform extends ModelForm
begin
set first_name = call CharField label=string your name widget=call TextInput attrs=dict string placeholder string enter your name
class Meta
begin
set model = product_person
set fields = list string first_name string mid... | from django import forms
from .models import product_person
class Personform(forms.ModelForm):
first_name = forms.CharField(label= 'your name',
widget= forms.TextInput(
attrs={
"placeholder":"enter your name"
}))
class Meta:
model=product_person
fields=[
'first_name',
'middle_name',
'last_nam... | Python | zaydzuhri_stack_edu_python |
comment 2-1. Simple Message: Store a message in a variable, and then print that message.
set msg = string hello world!
print msg | # 2-1. Simple Message: Store a message in a variable, and then print that message.
msg = "hello world!"
print(msg)
| Python | zaydzuhri_stack_edu_python |
function preprocess self path=none
begin
set path = if expression path then path else path
set data = get load Data path=path __name__
for subject in data
begin
call preprocess model=model detector=detector
append data subject
end
return data
end function | def preprocess(self, path=None):
path = path if path else self.path
data = Data.load(path=path).get(Data.__name__)
for subject in data:
subject.preprocess(model=self.model, detector=self.detector)
self.data.append(subject)
return self.data | Python | nomic_cornstack_python_v1 |
function unicode2ascii _unicrap
begin
set xlate = dict 192 string A ; 193 string A ; 194 string A ; 195 string A ; 196 string A ; 197 string A ; 198 string Ae ; 199 string C ; 200 string E ; 201 string E ; 202 string E ; 203 string E ; 204 string I ; 205 string I ; 206 string I ; 207 string I ; 208 string Th ; 209 stri... | def unicode2ascii(_unicrap):
xlate = {0xc0:'A', 0xc1:'A', 0xc2:'A', 0xc3:'A', 0xc4:'A', 0xc5:'A',
0xc6:'Ae', 0xc7:'C',
0xc8:'E', 0xc9:'E', 0xca:'E', 0xcb:'E',
0xcc:'I', 0xcd:'I', 0xce:'I', 0xcf:'I',
0xd0:'Th', 0xd1:'N',
0xd2:'O', 0xd3:'O', 0xd4:'O', 0xd5:'O', 0xd6:'O', 0xd8:'... | Python | nomic_cornstack_python_v1 |
import turtle
set a = call Pen
call reset
for i in range 1 9
begin
call forward 200
call left 225
end | import turtle
a=turtle.Pen()
a.reset()
for i in range(1,9):
a.forward(200)
a.left(225)
| Python | zaydzuhri_stack_edu_python |
function onStoreCorrectChange self event=none
begin
if call GetValue
begin
show
show
end
else
begin
comment self.paramCtrls['correctAns'].typeCtrl.Show()
comment self.paramCtrls['correctAns'].updateCtrl.Show()
call Hide
call Hide
end
comment self.paramCtrls['correctAns'].typeCtrl.Hide()
comment self.paramCtrls['correct... | def onStoreCorrectChange(self,event=None):
if self.paramCtrls['storeCorrect'].valueCtrl.GetValue():
self.paramCtrls['correctAns'].valueCtrl.Show()
self.paramCtrls['correctAns'].nameCtrl.Show()
#self.paramCtrls['correctAns'].typeCtrl.Show()
#self.paramCtrls['c... | Python | nomic_cornstack_python_v1 |
comment -> float:
function weights_none mol
begin
Ellipsis
end function | def weights_none(mol): # -> float:
... | Python | nomic_cornstack_python_v1 |
function countPlayers tid
begin
set DB = call connect
set c = call cursor
set sql = string SELECT count(player) AS num FROM scoreboard WHERE tournament = %s
execute c sql tuple tid
set players = call fetchone at 0
close DB
return players
end function | def countPlayers(tid):
DB = connect()
c = DB.cursor()
sql = """SELECT count(player) AS num
FROM scoreboard
WHERE tournament = %s"""
c.execute(sql, (tid,))
players = c.fetchone()[0]
DB.close()
return players | Python | nomic_cornstack_python_v1 |
function predict u v
begin
return dot u v
end function | def predict(u, v):
return np.dot(u, v) | Python | nomic_cornstack_python_v1 |
comment CS3243 Introduction to Artificial Intelligence
comment Project 2
import sys
import copy
comment Running script: given code can be run with the command:
comment python file.py, ./path/to/init_state.txt ./output/output.txt
class Sudoku extends object
begin
function __init__ self puzzle
begin
comment you may add m... | # CS3243 Introduction to Artificial Intelligence
# Project 2
import sys
import copy
# Running script: given code can be run with the command:
# python file.py, ./path/to/init_state.txt ./output/output.txt
class Sudoku(object):
def __init__(self, puzzle):
# you may add more attributes if you ne... | Python | zaydzuhri_stack_edu_python |
function read_puppy_hk_pickles lfile key=none
begin
set d = load pickle open lfile string rb
comment print "d.keys", d.keys()
comment data = d["y"][:,0,0] # , d["y"]
set rate = 20
set offset = 0
comment data = np.atleast_2d(data).T
comment print "wavdata", data.shape
comment special treatment for x,y with addtional dim... | def read_puppy_hk_pickles(lfile, key = None):
d = pickle.load(open(lfile, 'rb'))
# print "d.keys", d.keys()
# data = d["y"][:,0,0] # , d["y"]
rate = 20
offset = 0
# data = np.atleast_2d(data).T
# print "wavdata", data.shape
# special treatment for x,y with addtional dimension
data = ... | Python | nomic_cornstack_python_v1 |
function run self
begin
raise NotImplementedError
end function | def run(self):
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
function insSorted lst n leftIdx rightIdx
begin
print lst n leftIdx rightIdx
if not lst or leftIdx == length lst or leftIdx > rightIdx
begin
insert lst leftIdx n
return leftIdx
end
set midIdx = leftIdx + rightIdx - leftIdx // 2
if n < lst at midIdx
begin
return call insSorted lst n leftIdx midIdx - 1
end
else
if n > ls... | def insSorted(lst,n,leftIdx,rightIdx):
print(lst,n,leftIdx,rightIdx)
if not lst or leftIdx==len(lst) or leftIdx>rightIdx:
lst.insert(leftIdx,n)
return leftIdx
midIdx=leftIdx+(rightIdx-leftIdx)//2
if n<lst[midIdx]: return insSorted(lst,n,leftIdx,midIdx-1)
elif n>lst[midIdx]: return insSorted(lst,n,midI... | Python | zaydzuhri_stack_edu_python |
function RefreshDetails self item=none
begin
if details
begin
return call RefreshDetails item
end
set item = item or call GetDetailsItem
if item not in data
begin
set item = none
end
end function | def RefreshDetails(self,item=None):
if self.details: return self.details.RefreshDetails(item)
item = item or self.GetDetailsItem()
if item not in self.data: item = None | Python | nomic_cornstack_python_v1 |
function add_timing_or_data_tag row value
begin
if not value
begin
return string NO VALUE
end
set lower_value = lower value
if string min in lower_value
begin
call add_tag row string Min
end
else
if string max in lower_value
begin
call add_tag row string Max
end
else
if string avg in lower_value
begin
call add_tag row ... | def add_timing_or_data_tag(row, value):
if not value:
return "NO VALUE"
lower_value = value.lower()
if 'min' in lower_value:
add_tag(row, 'Min')
elif 'max' in lower_value:
add_tag(row, 'Max')
elif 'avg' in lower_value:
add_tag(row, 'Average')
elif 'average' in low... | Python | nomic_cornstack_python_v1 |
from bs4 import BeautifulSoup
from download import *
from urllib import urlencode
function replace a
begin
return replace a string string %20
end function
set url = string http://www.allitebooks.com/modern-programming-made-easy/
set html = call download url
set soup = call BeautifulSoup html
set span = find soup attrs... | from bs4 import BeautifulSoup
from download import *
from urllib import urlencode
def replace(a):
return a.replace(" ", "%20")
url = "http://www.allitebooks.com/modern-programming-made-easy/"
html = download(url)
soup = BeautifulSoup(html)
span = soup.find(attrs={'class':'download-links'})
#a = span.find... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from fcm import fcmean
from plots import plot_points , plot_points_colored
set recs = 200
comment data = np.random.normal(0, 5, size=(recs, 2))
set data1 = call normal 10 1 size=tuple recs 2
set data2 = call normal 12 1 size=tuple recs 2
set data3 = call normal 14 1 size=tuple recs 2
set data = conca... | import numpy as np
from fcm import fcmean
from plots import plot_points, plot_points_colored
recs = 200
# data = np.random.normal(0, 5, size=(recs, 2))
data1 = np.random.normal(10, 1, size=(recs, 2))
data2 = np.random.normal(12, 1, size=(recs, 2))
data3 = np.random.normal(14, 1, size=(recs, 2))
data = np.concatenate... | Python | zaydzuhri_stack_edu_python |
if N > K
begin
set N = N % K
end
set min_N = decimal string inf
while min_N != N
begin
set min_N = min N min_N
if N == K or N == 0 or K == 0
begin
print 0
exit 0
end
set N = absolute N - K
end
print min_N | if N > K:
N = N % K
min_N = float("inf")
while min_N != N:
min_N = min(N,min_N)
if N == K or N == 0 or K == 0:
print(0)
exit(0)
N = abs(N - K)
print(min_N) | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
comment -*- encoding: utf-8 -*-
string @File : task5.py @Time : 2020/03/29 10:49:43 @Author : KingFar @Version : 1.0 @Contact : 1136421682@qq.com @WebSite : https://github.com/KingFarGrace
comment here put the import lib
import pickle
string 在2个文件中存放了英文计算机技术文章(可以选择2篇关于Python技术文件操作处理技巧的2篇英文技术文章... | #!/usr/bin/python3
# -*- encoding: utf-8 -*-
"""
@File : task5.py
@Time : 2020/03/29 10:49:43
@Author : KingFar
@Version : 1.0
@Contact : 1136421682@qq.com
@WebSite : https://github.com/KingFarGrace
"""
# here put the import lib
import pickle
"""
在2个文件中存放了英文计算机技术文章(可以选择2篇关于Python技术文件操作处理技巧的2篇英文技术文章), 请读取文章内容,进行词频的统... | Python | zaydzuhri_stack_edu_python |
function dynamic_allpass source frequency Q=i_sqrt_two srate=none
begin
set frequency = call to_iterable frequency
set Q = call to_iterable Q
set srate = call get_srate srate
set dw = two_pi / srate
set y0 = 0j
set x1 = 0.0
set x2 = 0.0
for tuple sample f q in zip source frequency Q
begin
set w0 = dw * f
set cosw0 = co... | def dynamic_allpass(source, frequency, Q=i_sqrt_two, srate=None):
frequency = to_iterable(frequency)
Q = to_iterable(Q)
srate = get_srate(srate)
dw = two_pi / srate
y0 = 0j
x1 = 0.0
x2 = 0.0
for sample, f, q in zip(source, frequency, Q):
w0 = dw * f
cosw0 = cos(w0)
... | Python | nomic_cornstack_python_v1 |
function test_root_get self
begin
set result = get app string /
assert equal status_code 200 string Get of / did not return 200
end function | def test_root_get(self):
result = self.app.get('/')
self.assertEqual(result.status_code, 200, "Get of / did not return 200") | Python | nomic_cornstack_python_v1 |
import numpy as np
import pandas as pd
from parsen import Parsen
import matplotlib.pyplot as plt
set data = read csv string height_weight2.csv
set indexes = call to_numpy
set heights_weights = call to_numpy
set tuple X_train y_train = tuple heights_weights indexes
set data = read csv string height_weight_test.csv
set X... | import numpy as np
import pandas as pd
from parsen import Parsen
import matplotlib.pyplot as plt
data = pd.read_csv("height_weight2.csv")
indexes = data['Index'].to_numpy()
heights_weights = data[['Height', 'Weight']].to_numpy()
X_train, y_train = heights_weights, indexes
data = pd.read_csv("height_weight_test.csv")... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
string Task 15 relationship city state
from relationship_state import State
from relationship_city import City , Base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import sys
if __name__ == string __main__
begin
set t = string mysql+mysqldb://{}:{}@localhost/{}
s... | #!/usr/bin/python3
'''Task 15 relationship city state'''
from relationship_state import State
from relationship_city import City, Base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import sys
if __name__ == "__main__":
t = 'mysql+mysqldb://{}:{}@localhost/{}'
s1 = sys.argv[1]
... | Python | zaydzuhri_stack_edu_python |
function set self q r val
begin
if not tuple q r in spaces
begin
raise call KeyError format string ({}, {}) not in range q r
end
set spaces at tuple q r = val
end function | def set(self, q, r, val):
if not (q, r) in self.spaces:
raise KeyError("({}, {}) not in range".format(q, r))
self.spaces[q, r] = val | Python | nomic_cornstack_python_v1 |
function ascii_name_plaque name
begin
set st = string * + string string __ + name + string __ + string *
set star = string * * length st - 1 + string
set space = string * + string * length st - 3 + string *
print star + space + st + space + star
end function | def ascii_name_plaque(name: str):
st = "*" + str(" __" + name + "__ ") + "*\n"
star = "*" * (len(st)-1) + "\n"
space = "*" + (" " * (len(st)-3)) + "*\n"
print(star + space + st + space + star) | Python | nomic_cornstack_python_v1 |
class Queue
begin
function __init__ self
begin
set tuple s1 s2 = tuple list list
end function
function enqueue self data
begin
append s1 data
end function
function dequeue self
begin
if s1 == list and s2 == list
begin
return none
end
if s2 == list
begin
while not s1 == list
begin
append s2 pop s1
end
end
set res ... | class Queue:
def __init__(self):
self.s1, self.s2 = [], []
def enqueue(self, data):
self.s1.append(data)
def dequeue(self):
if self.s1 == [] and self.s2 == []:
return None
if self.s2 == []:
while not self.s1 == []:
self.s2.append(... | Python | zaydzuhri_stack_edu_python |
from data import db_connection
decorator connection_handler
function fetch_details_by_show_id cursor show_id
begin
set sql_string = string SELECT seasons.id AS season_id, seasons.season_number AS season_number, episodes.title AS episode_title, episodes.id AS episode_id FROM shows LEFT JOIN seasons ON shows.id = seasons... | from data import db_connection
@db_connection.connection_handler
def fetch_details_by_show_id(cursor, show_id):
sql_string = """
SELECT seasons.id AS season_id,
seasons.season_number AS season_number,
episodes.title AS episode_title,
... | Python | zaydzuhri_stack_edu_python |
function __str__ self
begin
return title
end function | def __str__(self):
return self.title | Python | nomic_cornstack_python_v1 |
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