content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
# Solution for the problem "Constructing a Number"
# https://www.hackerrank.com/contests/hourrank-25/challenges/constructing-a-number/problem
# Number of test cases
t = int(input())
for x in range(t):
# Number of items. We are not actually using this in our approach
n = int(input())
# We are replacing all spaces to get one big number
num = int(input().replace(' ', ''))
# Check whether number is divisible by 3
print("Yes" if num % 3 == 0 else "No") | t = int(input())
for x in range(t):
n = int(input())
num = int(input().replace(' ', ''))
print('Yes' if num % 3 == 0 else 'No') |
name_score = 0
def cal_name_score(n, list_a):
global name_score
name_s = 0
for i in list_a[n]:
name_s += ord(i.lower()) - 96
name_score += name_s * (n+1)
return name_score
if __name__ == '__main__':
with open('p022_names.txt') as f:
name_list = f.readlines()
clear_list = name_list[0].replace('"', '').split(',')
sorted_list = sorted(clear_list)
for i in range(0, len(sorted_list)):
cal_name_score(i, sorted_list)
print(name_score)
| name_score = 0
def cal_name_score(n, list_a):
global name_score
name_s = 0
for i in list_a[n]:
name_s += ord(i.lower()) - 96
name_score += name_s * (n + 1)
return name_score
if __name__ == '__main__':
with open('p022_names.txt') as f:
name_list = f.readlines()
clear_list = name_list[0].replace('"', '').split(',')
sorted_list = sorted(clear_list)
for i in range(0, len(sorted_list)):
cal_name_score(i, sorted_list)
print(name_score) |
# Nested For Loop
# User input for number of rows
rows = int(input("Enter the rows:"))
# Outer loop will print number of rows
for i in range(0, rows+1):
# Inner loop will print number of Astrisk
for j in range(i):
print("*",end = '')
print()
# Program to print number pyramid
rows = int(input("Enter the rows"))
for i in range(0,rows+1):
for j in range(i):
print(i,end = '')
print()
# Nested While Loop
# program uses a nested while loop to find the prime numbers from 2 to 20
i = 2
while(i < 20):
j = 2
while(j <= (i/j)):
if not(i%j): break
j = j + 1
if (j > i/j) : print (i, " is prime")
i = i + 1
print ("Good bye!")
| rows = int(input('Enter the rows:'))
for i in range(0, rows + 1):
for j in range(i):
print('*', end='')
print()
rows = int(input('Enter the rows'))
for i in range(0, rows + 1):
for j in range(i):
print(i, end='')
print()
i = 2
while i < 20:
j = 2
while j <= i / j:
if not i % j:
break
j = j + 1
if j > i / j:
print(i, ' is prime')
i = i + 1
print('Good bye!') |
select_guilds = """select * from servers where discord_id = %s"""
insert_guild = """ INSERT INTO public.servers(
discord_id, discord_name)
VALUES (%s, %s);
"""
select_users = """ select * from public.users where server_id = (select id from public.servers where discord_id = %s) and user_id = %s"""
insert_user = """INSERT INTO public.users(
username, user_id, server_id)
VALUES (%s, %s, (select id from public.servers where discord_id = %s)); """
select_active_periods = "select * from public.payment_periods where server_id = (select id from public.servers where discord_id = %s) and close_date is null"
insert_active_period = """INSERT INTO public.payment_periods(
open_date, payment, server_id, close_date)
VALUES ( now(), null, (select id from public.servers where discord_id = %s), null);"""
select_periods = "select * from public.payment_periods where server_id = (select id from public.servers where discord_id = %s)"
update_close_period = """UPDATE public.payment_periods
SET payment=%s, close_date=now()
WHERE id = %s;"""
select_validation_id = "select max(validation_id) from public.user_points where period_id = %s"
# init_scripts =
# CREATE TABLE public.servers
# (
# id integer NOT NULL DEFAULT nextval('servers_id_seq'::regclass),
# discord_id bigint NOT NULL,
# discord_name character varying(100) COLLATE pg_catalog."default" NOT NULL,
# CONSTRAINT servers_pkey PRIMARY KEY (id),
# CONSTRAINT discord_id_unique UNIQUE (discord_id)
# )
# CREATE TABLE public.user_points
# (
# id integer NOT NULL DEFAULT nextval('user_points_id_seq'::regclass),
# user_id integer NOT NULL,
# period_id integer NOT NULL,
# validated boolean NOT NULL,
# add_date timestamp without time zone NOT NULL DEFAULT now(),
# points integer NOT NULL DEFAULT 0,
# CONSTRAINT points_pkey PRIMARY KEY (id),
# CONSTRAINT points_period_id FOREIGN KEY (period_id)
# REFERENCES public.payment_periods (id) MATCH SIMPLE
# ON UPDATE NO ACTION
# ON DELETE NO ACTION,
# CONSTRAINT points_users_id FOREIGN KEY (user_id)
# REFERENCES public.users (id) MATCH SIMPLE
# ON UPDATE NO ACTION
# ON DELETE NO ACTION
# )
# CREATE TABLE public.users
# (
# id integer NOT NULL DEFAULT nextval('users_id_seq'::regclass),
# username character varying(80) COLLATE pg_catalog."default" NOT NULL,
# register_date timestamp without time zone DEFAULT now(),
# server_id integer NOT NULL,
# deleted boolean DEFAULT false,
# user_id bigint NOT NULL,
# CONSTRAINT person_pkey PRIMARY KEY (id),
# CONSTRAINT serverid_userid_unique UNIQUE (server_id, user_id),
# CONSTRAINT user_server_fkey FOREIGN KEY (server_id)
# REFERENCES public.servers (id) MATCH SIMPLE
# ON UPDATE NO ACTION
# ON DELETE NO ACTION
# NOT VALID
# )
# CREATE TABLE public.payment_periods
# (
# id integer NOT NULL DEFAULT nextval('payment_periods_id_seq'::regclass),
# open_date timestamp without time zone NOT NULL,
# payment money,
# server_id integer NOT NULL,
# close_date timestamp without time zone,
# CONSTRAINT payment_pkey PRIMARY KEY (id),
# CONSTRAINT serverid_servers FOREIGN KEY (server_id)
# REFERENCES public.servers (id) MATCH SIMPLE
# ON UPDATE NO ACTION
# ON DELETE NO ACTION
# NOT VALID
# ) | select_guilds = 'select * from servers where discord_id = %s'
insert_guild = ' INSERT INTO public.servers(\n discord_id, discord_name)\n VALUES (%s, %s);\n '
select_users = ' select * from public.users where server_id = (select id from public.servers where discord_id = %s) and user_id = %s'
insert_user = 'INSERT INTO public.users(\n\tusername, user_id, server_id)\n\tVALUES (%s, %s, (select id from public.servers where discord_id = %s)); '
select_active_periods = 'select * from public.payment_periods where server_id = (select id from public.servers where discord_id = %s) and close_date is null'
insert_active_period = 'INSERT INTO public.payment_periods(\n\topen_date, payment, server_id, close_date)\n\tVALUES ( now(), null, (select id from public.servers where discord_id = %s), null);'
select_periods = 'select * from public.payment_periods where server_id = (select id from public.servers where discord_id = %s)'
update_close_period = 'UPDATE public.payment_periods\n\tSET payment=%s, close_date=now()\n\tWHERE id = %s;'
select_validation_id = 'select max(validation_id) from public.user_points where period_id = %s' |
class Automovel:
cor = ""
marca = ""
qtdegasolina = 45
def __init__(self, c, m):
self.cor = c
self.marca = m
def abastecerCarro(qtdeLitros):
qtdegasolina = qtdegasolina + qtdeLitros
uno = Automovel("Verde","Fiat")
print(uno)
hondafit = Automovel("Preta", "Honda")
print(hondafit)
| class Automovel:
cor = ''
marca = ''
qtdegasolina = 45
def __init__(self, c, m):
self.cor = c
self.marca = m
def abastecer_carro(qtdeLitros):
qtdegasolina = qtdegasolina + qtdeLitros
uno = automovel('Verde', 'Fiat')
print(uno)
hondafit = automovel('Preta', 'Honda')
print(hondafit) |
class Solution:
def decodeString(self, s: str) -> str:
def dfs(s, i):
res, multi = "", 0
while i < len(s):
if '0' <= s[i] <= '9':
multi = multi * 10 + int(s[i])
elif s[i] == '[':
i, tmp = dfs(s, i + 1)
res += multi * tmp
multi = 0
elif s[i] == ']':
return i, res
else:
res += s[i]
i += 1
return res
return dfs(s,0)
class Solution:
def decodeString(self, s: str) -> str:
stack, res, multi = [], "", 0
for c in s:
if c == '[':
stack.append([multi, res])
res, multi = "", 0
elif c == ']':
cur_multi, last_res = stack.pop()
res = last_res + cur_multi * res
elif '0' <= c <= '9':
multi = multi * 10 + int(c)
else:
res += c
return res
| class Solution:
def decode_string(self, s: str) -> str:
def dfs(s, i):
(res, multi) = ('', 0)
while i < len(s):
if '0' <= s[i] <= '9':
multi = multi * 10 + int(s[i])
elif s[i] == '[':
(i, tmp) = dfs(s, i + 1)
res += multi * tmp
multi = 0
elif s[i] == ']':
return (i, res)
else:
res += s[i]
i += 1
return res
return dfs(s, 0)
class Solution:
def decode_string(self, s: str) -> str:
(stack, res, multi) = ([], '', 0)
for c in s:
if c == '[':
stack.append([multi, res])
(res, multi) = ('', 0)
elif c == ']':
(cur_multi, last_res) = stack.pop()
res = last_res + cur_multi * res
elif '0' <= c <= '9':
multi = multi * 10 + int(c)
else:
res += c
return res |
# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/test_nbdev_define_in_subfolder/01 define in multiple_nbs 1.ipynb (unless otherwise specified).
__all__ = ['defined_in_multiple_nbs', 'defined_in_multiple_nbs']
# Cell
def defined_in_multiple_nbs():
print("This function was defined on notebook 01")
# Cell
def defined_in_multiple_nbs():
print("This function was defined on notebook 02") | __all__ = ['defined_in_multiple_nbs', 'defined_in_multiple_nbs']
def defined_in_multiple_nbs():
print('This function was defined on notebook 01')
def defined_in_multiple_nbs():
print('This function was defined on notebook 02') |
#!/usr/bin/env python
def part_one() -> None:
buffer = [0]
idx = 0
for i in range(1, 2018):
idx = step(buffer, idx)
buffer.insert(idx + 1, i)
idx += 1
print('Part 1: ', buffer[buffer.index(2017) + 1])
def step(buffer: list, start: int) -> int:
steps = 359
return (steps + start) % len(buffer)
def part_two() -> None:
steps = 359
idx = 0
result = 0
for i in range(1, 50 * (10 ** 6) + 1):
idx = (steps + idx) % i
if idx == 0:
result = i
idx += 1
print('Part 2: ', result)
def main():
part_one()
part_two()
if __name__ == '__main__':
main()
| def part_one() -> None:
buffer = [0]
idx = 0
for i in range(1, 2018):
idx = step(buffer, idx)
buffer.insert(idx + 1, i)
idx += 1
print('Part 1: ', buffer[buffer.index(2017) + 1])
def step(buffer: list, start: int) -> int:
steps = 359
return (steps + start) % len(buffer)
def part_two() -> None:
steps = 359
idx = 0
result = 0
for i in range(1, 50 * 10 ** 6 + 1):
idx = (steps + idx) % i
if idx == 0:
result = i
idx += 1
print('Part 2: ', result)
def main():
part_one()
part_two()
if __name__ == '__main__':
main() |
#page contains functions that locates data about things on the webpage
#add locators
def body_element_locator(browser):
return browser.find_element_by_tag_name('body')
def get_tweets(browser):
return browser.find_elements_by_class_name('tweet-text') | def body_element_locator(browser):
return browser.find_element_by_tag_name('body')
def get_tweets(browser):
return browser.find_elements_by_class_name('tweet-text') |
class WorkflowException(Exception):
pass
class UnsupportedRequirement(WorkflowException):
pass
| class Workflowexception(Exception):
pass
class Unsupportedrequirement(WorkflowException):
pass |
# zop = Zen of python
zop = '''Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!'''
print('"The Zen of Python"\n')
print(zop)
print('')
print('Task 1.\n')
print('The word "better" is here', zop.count('better'), 'times')
print('The word "never" is here', zop.count('never'), 'times')
print('The word "is" is here', zop.count('is'), 'times\n')
print('Task 2.\n')
print(zop.upper())
print('')
print('Task 3.\n')
print(zop.replace('i', '&')) | zop = "Beautiful is better than ugly.\nExplicit is better than implicit.\nSimple is better than complex.\nComplex is better than complicated.\nFlat is better than nested.\nSparse is better than dense.\nReadability counts.\nSpecial cases aren't special enough to break the rules.\nAlthough practicality beats purity.\nErrors should never pass silently.\nUnless explicitly silenced.\nIn the face of ambiguity, refuse the temptation to guess.\nThere should be one-- and preferably only one --obvious way to do it.\nAlthough that way may not be obvious at first unless you're Dutch.\nNow is better than never.\nAlthough never is often better than *right* now.\nIf the implementation is hard to explain, it's a bad idea.\nIf the implementation is easy to explain, it may be a good idea.\nNamespaces are one honking great idea -- let's do more of those!"
print('"The Zen of Python"\n')
print(zop)
print('')
print('Task 1.\n')
print('The word "better" is here', zop.count('better'), 'times')
print('The word "never" is here', zop.count('never'), 'times')
print('The word "is" is here', zop.count('is'), 'times\n')
print('Task 2.\n')
print(zop.upper())
print('')
print('Task 3.\n')
print(zop.replace('i', '&')) |
"""
# PROBLEM 2
Even Fibonacci numbers
Problem 2
Each new term in the Fibonacci sequence is generated by adding the previous two terms.
By starting with 1 and 2, the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do not exceed four million, f
ind the sum of the even-valued terms.
"""
# Hmmm. It looks like Fibonacci goes odd, odd, even, ood, ood, even, etc.
final_sum = 0
current = 1
past = 1
index = 2 # If I index from 0, the math won't work as elegantly
while current < 4000000:
index += 1
temp = current
current += past
past = temp
if not index % 3: # We've set things up so that every third item is even.
final_sum += current
print(final_sum) | """
# PROBLEM 2
Even Fibonacci numbers
Problem 2
Each new term in the Fibonacci sequence is generated by adding the previous two terms.
By starting with 1 and 2, the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do not exceed four million, f
ind the sum of the even-valued terms.
"""
final_sum = 0
current = 1
past = 1
index = 2
while current < 4000000:
index += 1
temp = current
current += past
past = temp
if not index % 3:
final_sum += current
print(final_sum) |
img_width = 48
img_height = 48
img_depth = 1
batch_size = 32
epochs = 500
| img_width = 48
img_height = 48
img_depth = 1
batch_size = 32
epochs = 500 |
# -*- coding: utf-8 -*-
class PasswordError(Exception):
"""symmetric encrypt wrong password error.
"""
class SignatureError(Exception):
"""asymmetric encrypt wrong signature error.
"""
| class Passworderror(Exception):
"""symmetric encrypt wrong password error.
"""
class Signatureerror(Exception):
"""asymmetric encrypt wrong signature error.
""" |
t = int(input().strip())
for a0 in range(t):
n = int(input().strip())
a = list(map(int, input().strip().split(' ')))
occur = {}
count = 0
for i in a:
if i in occur:
count += occur[i] * 2
occur[i] += 1
else:
occur[i] = 1
print(count) | t = int(input().strip())
for a0 in range(t):
n = int(input().strip())
a = list(map(int, input().strip().split(' ')))
occur = {}
count = 0
for i in a:
if i in occur:
count += occur[i] * 2
occur[i] += 1
else:
occur[i] = 1
print(count) |
"""
round
"""
print(round(233.33333))
print(round(233.33333, 2))
print(round(233.33333, -2))
| """
round
"""
print(round(233.33333))
print(round(233.33333, 2))
print(round(233.33333, -2)) |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
_ERROR_PAGE_BLOB_SIZE_ALIGNMENT = \
'Invalid page blob size: {0}. ' + \
'The size must be aligned to a 512-byte boundary.'
_ERROR_PAGE_BLOB_START_ALIGNMENT = \
'start_range must align with 512 page size'
_ERROR_PAGE_BLOB_END_ALIGNMENT = \
'end_range must align with 512 page size'
_ERROR_INVALID_BLOCK_ID = \
'All blocks in block list need to have valid block ids.'
_ERROR_INVALID_LEASE_DURATION = \
"lease_duration param needs to be between 15 and 60 or -1."
_ERROR_INVALID_LEASE_BREAK_PERIOD = \
"lease_break_period param needs to be between 0 and 60."
_ERROR_NO_SINGLE_THREAD_CHUNKING = \
'To use blob chunk downloader more than 1 thread must be ' + \
'used since get_blob_to_bytes should be called for single threaded ' + \
'blob downloads.'
| _error_page_blob_size_alignment = 'Invalid page blob size: {0}. ' + 'The size must be aligned to a 512-byte boundary.'
_error_page_blob_start_alignment = 'start_range must align with 512 page size'
_error_page_blob_end_alignment = 'end_range must align with 512 page size'
_error_invalid_block_id = 'All blocks in block list need to have valid block ids.'
_error_invalid_lease_duration = 'lease_duration param needs to be between 15 and 60 or -1.'
_error_invalid_lease_break_period = 'lease_break_period param needs to be between 0 and 60.'
_error_no_single_thread_chunking = 'To use blob chunk downloader more than 1 thread must be ' + 'used since get_blob_to_bytes should be called for single threaded ' + 'blob downloads.' |
"""
types:
'.' = water
'#' = island
'1' or other number = number square
rules:
squares are connected up,down,right,and left
island sqaure can only have one numbered square
numbered squre can contain itself + island square(s) ex) '2' means itself + 1 island
My thought process:
check 2x2 block of water ex) [i+1][j],[i][j],[i][j+1],[i+1][j+1]
check other characters that are NOT '1-9', '.', '#'
check numbered square and if it is > 1, follow the logic below:
set n = [i][j]-1
if n is 1, then check only [i-1][j],[i+1][j],[i][j-1],[i][j+1]
if n is odd, then check only [i-x][j],[i+x][j],[i][j-x],[i][j+x], x= 0<x<=n
...
"""
"""
Only have 8 minutes left
running out of time for this function, so I would like to explain what it will do once finished.
check_not_valid_number_square:
return False if numbered square is 1 (this means valid because we want to find one that does not have enough islands)
set n = number-1
start the counter that will sum all the islands within 1..n and diagonally 1..n-1
if counter < n
return True
"""
def check_not_valid_number_square(puzzle,i,j,islands):
n = int(puzzle[i][j])-1
if n == 0:
return False
cnt = 0
for k in range(1,n+1):
if j-k >= 0 and puzzle[i][j-k] == '#':
if islands[i][j] == False:
islands[i][j] = True
cnt += 1
if cnt == n:
return False
if j+k < len(puzzle[0]) and puzzle[i][j+k] == '#':
if islands[i][j] == False:
islands[i][j] = True
cnt += 1
if cnt < n:
return True
return False
def check_illegal_char(value):
if value.isdigit() or value == '.' or value == '#':
return True
return False
def check_not_water_block(puzzle,i,j):
# check itself,right,diagonal,bottom
if puzzle[i][j] == '.':
# verify if i is not the last row and j is not the right-most row
if i < len(puzzle)-1 and j < len(puzzle[0])-1:
if puzzle[i+1][j] == '.' and puzzle[i][j+1] == '.' and puzzle[i+1][j+1] == '.':
return False
return True
def verify(puzzle):
islands = list(list(False for j in range(len(puzzle[0]))) for i in range(len(puzzle)))
print(islands)
for i in range(len(puzzle)):
for j in range(len(puzzle[0])):
# 1. check illegal values other than '1-9', '.', '#'
if(check_illegal_char(puzzle[i][j])):
# 2. check if there exists 2x2 water
if(check_not_water_block(puzzle,i,j)):
print(i,j)
# 3. check if the square can reach and contain the island. Set island to True if number square has reached it.
#if puzzle[i][j].isdigit():
#if(check_not_valid_number_square(puzzle,i,j,islands)):
#return False
else:
return False
else:
return False
return True
# passed 5/9 test cases...
| """
types:
'.' = water
'#' = island
'1' or other number = number square
rules:
squares are connected up,down,right,and left
island sqaure can only have one numbered square
numbered squre can contain itself + island square(s) ex) '2' means itself + 1 island
My thought process:
check 2x2 block of water ex) [i+1][j],[i][j],[i][j+1],[i+1][j+1]
check other characters that are NOT '1-9', '.', '#'
check numbered square and if it is > 1, follow the logic below:
set n = [i][j]-1
if n is 1, then check only [i-1][j],[i+1][j],[i][j-1],[i][j+1]
if n is odd, then check only [i-x][j],[i+x][j],[i][j-x],[i][j+x], x= 0<x<=n
...
"""
'\nOnly have 8 minutes left\nrunning out of time for this function, so I would like to explain what it will do once finished.\n\ncheck_not_valid_number_square:\n return False if numbered square is 1 (this means valid because we want to find one that does not have enough islands)\n set n = number-1\n\n start the counter that will sum all the islands within 1..n and diagonally 1..n-1\n if counter < n\n return True\n'
def check_not_valid_number_square(puzzle, i, j, islands):
n = int(puzzle[i][j]) - 1
if n == 0:
return False
cnt = 0
for k in range(1, n + 1):
if j - k >= 0 and puzzle[i][j - k] == '#':
if islands[i][j] == False:
islands[i][j] = True
cnt += 1
if cnt == n:
return False
if j + k < len(puzzle[0]) and puzzle[i][j + k] == '#':
if islands[i][j] == False:
islands[i][j] = True
cnt += 1
if cnt < n:
return True
return False
def check_illegal_char(value):
if value.isdigit() or value == '.' or value == '#':
return True
return False
def check_not_water_block(puzzle, i, j):
if puzzle[i][j] == '.':
if i < len(puzzle) - 1 and j < len(puzzle[0]) - 1:
if puzzle[i + 1][j] == '.' and puzzle[i][j + 1] == '.' and (puzzle[i + 1][j + 1] == '.'):
return False
return True
def verify(puzzle):
islands = list((list((False for j in range(len(puzzle[0])))) for i in range(len(puzzle))))
print(islands)
for i in range(len(puzzle)):
for j in range(len(puzzle[0])):
if check_illegal_char(puzzle[i][j]):
if check_not_water_block(puzzle, i, j):
print(i, j)
else:
return False
else:
return False
return True |
img_norm_cfg = dict(
mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=False)
crop_size = (288, 960)
# KITTI config
kitti_train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations', sparse=True),
dict(
type='ColorJitter',
asymmetric_prob=0.0,
brightness=0.4,
contrast=0.4,
saturation=0.4,
hue=0.5 / 3.14),
dict(type='Erase', prob=0.5, bounds=[50, 100], max_num=3),
dict(
type='SpacialTransform',
spacial_prob=0.8,
stretch_prob=0.8,
crop_size=crop_size,
min_scale=-0.2,
max_scale=0.4,
max_stretch=0.2),
dict(type='RandomCrop', crop_size=crop_size),
dict(type='Normalize', **img_norm_cfg),
dict(type='DefaultFormatBundle'),
dict(
type='Collect',
keys=['imgs', 'flow_gt', 'valid'],
meta_keys=[
'filename1', 'filename2', 'ori_filename1', 'ori_filename2',
'filename_flow', 'ori_filename_flow', 'ori_shape', 'img_shape',
'erase_bounds', 'erase_num', 'scale_factor'
])
]
kitti_train = dict(
type='KITTI2015',
data_root='data/kitti2015',
pipeline=kitti_train_pipeline,
test_mode=False)
kitti_test_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations', sparse=True),
dict(type='InputPad', exponent=3),
dict(type='Normalize', **img_norm_cfg),
dict(type='TestFormatBundle'),
dict(
type='Collect',
keys=['imgs'],
meta_keys=[
'flow_gt', 'valid', 'filename1', 'filename2', 'ori_filename1',
'ori_filename2', 'ori_shape', 'img_shape', 'img_norm_cfg',
'scale_factor', 'pad_shape', 'pad'
])
]
kitti2015_val_test = dict(
type='KITTI2015',
data_root='data/kitti2015',
pipeline=kitti_test_pipeline,
test_mode=True)
data = dict(
train_dataloader=dict(
samples_per_gpu=2,
workers_per_gpu=5,
drop_last=True,
shuffle=True,
persistent_workers=True),
val_dataloader=dict(
samples_per_gpu=1,
workers_per_gpu=5,
shuffle=False,
persistent_workers=True),
test_dataloader=dict(samples_per_gpu=1, workers_per_gpu=2, shuffle=False),
train=kitti_train,
val=kitti2015_val_test,
test=kitti2015_val_test)
| img_norm_cfg = dict(mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=False)
crop_size = (288, 960)
kitti_train_pipeline = [dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', sparse=True), dict(type='ColorJitter', asymmetric_prob=0.0, brightness=0.4, contrast=0.4, saturation=0.4, hue=0.5 / 3.14), dict(type='Erase', prob=0.5, bounds=[50, 100], max_num=3), dict(type='SpacialTransform', spacial_prob=0.8, stretch_prob=0.8, crop_size=crop_size, min_scale=-0.2, max_scale=0.4, max_stretch=0.2), dict(type='RandomCrop', crop_size=crop_size), dict(type='Normalize', **img_norm_cfg), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['imgs', 'flow_gt', 'valid'], meta_keys=['filename1', 'filename2', 'ori_filename1', 'ori_filename2', 'filename_flow', 'ori_filename_flow', 'ori_shape', 'img_shape', 'erase_bounds', 'erase_num', 'scale_factor'])]
kitti_train = dict(type='KITTI2015', data_root='data/kitti2015', pipeline=kitti_train_pipeline, test_mode=False)
kitti_test_pipeline = [dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', sparse=True), dict(type='InputPad', exponent=3), dict(type='Normalize', **img_norm_cfg), dict(type='TestFormatBundle'), dict(type='Collect', keys=['imgs'], meta_keys=['flow_gt', 'valid', 'filename1', 'filename2', 'ori_filename1', 'ori_filename2', 'ori_shape', 'img_shape', 'img_norm_cfg', 'scale_factor', 'pad_shape', 'pad'])]
kitti2015_val_test = dict(type='KITTI2015', data_root='data/kitti2015', pipeline=kitti_test_pipeline, test_mode=True)
data = dict(train_dataloader=dict(samples_per_gpu=2, workers_per_gpu=5, drop_last=True, shuffle=True, persistent_workers=True), val_dataloader=dict(samples_per_gpu=1, workers_per_gpu=5, shuffle=False, persistent_workers=True), test_dataloader=dict(samples_per_gpu=1, workers_per_gpu=2, shuffle=False), train=kitti_train, val=kitti2015_val_test, test=kitti2015_val_test) |
# utils.py
""" Odds and ends that might be useful in other files."""
# custom exception for a failing regex
class NoGpuError(Exception):
""" No GPU string was found in the file name!
This error is raised when a run is done without GPUs (meaning it uses only CPUs for
Tensorflow predictions, which is, in theory, possible).
"""
# custom exception for missing data
class MissingDataError(Exception):
""" We refined the data until there was nothing left!
This exception is raised when some ...Figure class tries to pare down self.raw_data in such
a way that it removes all data and is left with nothing that meets its criteria. It
indicates that we're trying to graph data that we don't have.
"""
# https://stackoverflow.com/questions/3229419/how-to-pretty-print-nested-dictionaries
def pretty(json_input, indent=0):
for key, value in json_input.items():
print('\t' * indent + str(key))
if isinstance(value, dict):
pretty(value, indent+1)
else:
print('\t' * (indent+1) + str(value))
| """ Odds and ends that might be useful in other files."""
class Nogpuerror(Exception):
""" No GPU string was found in the file name!
This error is raised when a run is done without GPUs (meaning it uses only CPUs for
Tensorflow predictions, which is, in theory, possible).
"""
class Missingdataerror(Exception):
""" We refined the data until there was nothing left!
This exception is raised when some ...Figure class tries to pare down self.raw_data in such
a way that it removes all data and is left with nothing that meets its criteria. It
indicates that we're trying to graph data that we don't have.
"""
def pretty(json_input, indent=0):
for (key, value) in json_input.items():
print('\t' * indent + str(key))
if isinstance(value, dict):
pretty(value, indent + 1)
else:
print('\t' * (indent + 1) + str(value)) |
maxdepth = 0
def depth(elem, level):
global maxdepth
# your code goes her
# print(elem," :::")
# print(level," [[[]]]")
if (level == maxdepth):
maxdepth += 1
# print(elem)
for child in elem:
# print(child)
depth(child, level + 1)
| maxdepth = 0
def depth(elem, level):
global maxdepth
if level == maxdepth:
maxdepth += 1
for child in elem:
depth(child, level + 1) |
class InvalidKeyType(Exception):
def __init__(self, *args, **kwargs):
Exception.__init__(self, *args, **kwargs)
class KeyValueStoreDumpException(Exception):
def __init__(self, *args, **kwargs):
Exception.__init__(self, *args, **kwargs) | class Invalidkeytype(Exception):
def __init__(self, *args, **kwargs):
Exception.__init__(self, *args, **kwargs)
class Keyvaluestoredumpexception(Exception):
def __init__(self, *args, **kwargs):
Exception.__init__(self, *args, **kwargs) |
# This file is automatically generated during the generation of setup.py
# Copyright 2020, Caer
author = 'Jason Dsouza <jasmcaus@gmail.com>'
version = '1.7.8'
full_version = '1.7.8'
release = True
contributors = ['Jason Dsouza <jasmcaus@gmail.com>']
| author = 'Jason Dsouza <jasmcaus@gmail.com>'
version = '1.7.8'
full_version = '1.7.8'
release = True
contributors = ['Jason Dsouza <jasmcaus@gmail.com>'] |
"""Create Phone Number Kata from Codewars."""
def phone(x):
"""Create the phone number."""
if len(x) < 10:
raise ValueError('List needs to contain 10 numbers')
elif len(x) > 10:
raise ValueError('List needs to contain 10 numbers')
first = x[0:3]
second = x[3:6]
third = x[6:]
area_code = ''
mid = ''
last = ''
for i in range(len(first)):
area_code = area_code + str(first[i])
mid = mid + str(second[i])
for x in range(len(third)):
last = last + str(third[x])
return "(" + area_code + ") " + mid + "-" + last
| """Create Phone Number Kata from Codewars."""
def phone(x):
"""Create the phone number."""
if len(x) < 10:
raise value_error('List needs to contain 10 numbers')
elif len(x) > 10:
raise value_error('List needs to contain 10 numbers')
first = x[0:3]
second = x[3:6]
third = x[6:]
area_code = ''
mid = ''
last = ''
for i in range(len(first)):
area_code = area_code + str(first[i])
mid = mid + str(second[i])
for x in range(len(third)):
last = last + str(third[x])
return '(' + area_code + ') ' + mid + '-' + last |
# Variables and Functions
# Variable names
names = "Python"
job_title = "Software Engineer"
populated_countries_list = []
# Nonmangling names
_books = {} # variable name to define private
__dict = [] # prevent name mangling with python in-build lib
"""You should use one underscore(_) as a prefix for the internal variable
of a class, where you don't want an outside class to access the variable.
This is just a convention; Python doesn't make a variable with a single
underscore prefix private."""
# Normal function names
# function name with single underscore
def get_data():
# write you code here
pass
def calculate_tax_data():
# write your code here
pass
"""The same rules apply to private methods and methods where you want to
prevent name mangling with built-in python functions."""
# private method with single underscore
def _get_data():
# write your code here
pass
# double underscore to prevent name mangling with other in-build functions
def __path():
# write your code here
pass
# function names
# wrong way
def get_user_info(id):
db = get_db_connection()
user = execute_query_for_user(id)
return user
# Right way
def get_user_by(user_id):
db = get_db_connection()
user = execute_query_for_user(user_id)
return user
# Classes
"""The names of classes should be in camel case like in most other languages"""
class UserInformation:
def get_user(id):
db = get_db_connection()
user = execute_query_for_user()
return user
# Constants names
TOTAL = 56
TIMOUT = 6
MAX_OVERFLOW = 7
# function and method arguments
"""Function and method arguments should follow the same rules as variables and
methods names. A class method has self as the first keyword argument compared to
functions that don't pass self as a first keyword parameter."""
def calculate_tax(amount, yearly_tax):
pass
class Player:
def get_total_score(self, player_name):
pass
| names = 'Python'
job_title = 'Software Engineer'
populated_countries_list = []
_books = {}
__dict = []
"You should use one underscore(_) as a prefix for the internal variable\nof a class, where you don't want an outside class to access the variable.\nThis is just a convention; Python doesn't make a variable with a single \nunderscore prefix private."
def get_data():
pass
def calculate_tax_data():
pass
'The same rules apply to private methods and methods where you want to\nprevent name mangling with built-in python functions.'
def _get_data():
pass
def __path():
pass
def get_user_info(id):
db = get_db_connection()
user = execute_query_for_user(id)
return user
def get_user_by(user_id):
db = get_db_connection()
user = execute_query_for_user(user_id)
return user
'The names of classes should be in camel case like in most other languages'
class Userinformation:
def get_user(id):
db = get_db_connection()
user = execute_query_for_user()
return user
total = 56
timout = 6
max_overflow = 7
"Function and method arguments should follow the same rules as variables and\nmethods names. A class method has self as the first keyword argument compared to\nfunctions that don't pass self as a first keyword parameter."
def calculate_tax(amount, yearly_tax):
pass
class Player:
def get_total_score(self, player_name):
pass |
# My solution
def merge_lists(a, b):
res = []
a_cur = 0
b_cur = 0
a_min = a[a_cur]
b_min = b[b_cur]
a_done = False
b_done = False
for i in range(len(a) + len(b)):
if (a_min <= b_min or b_done) and (a_cur < len(a)):
res.append(a_min)
a_cur += 1
if (a_cur < len(a)):
a_min = a[a_cur]
else:
a_done = True
if (a_min >= b_min or a_done) and (b_cur < len(b)):
res.append(b_min)
b_cur += 1
if (a_cur < len(a)):
b_min = b[b_cur]
else:
a_done = True
return res
# Interview Solution
def merge_lists_sol(my_list, alices_list):
# Set up our merged_list
merged_list_size = len(my_list) + len(alices_list)
merged_list = [None] * merged_list_size
current_index_alices = 0
current_index_mine = 0
current_index_merged = 0
while current_index_merged < merged_list_size:
is_my_list_exhausted = current_index_mine >= len(my_list)
is_alices_list_exhausted = current_index_alices >= len(alices_list)
if (not is_my_list_exhausted and
(is_alices_list_exhausted or
my_list[current_index_mine] < alices_list[current_index_alices])):
# Case: next comes from my list
# My list must not be exhausted, and EITHER:
# 1) Alice's list IS exhausted, or
# 2) the current element in my list is less
# than the current element in Alice's list
merged_list[current_index_merged] = my_list[current_index_mine]
current_index_mine += 1
else:
# Case: next comes from Alice's list
merged_list[current_index_merged] = alices_list[current_index_alices]
current_index_alices += 1
current_index_merged += 1
return merged_list
my_list = [3, 4, 6, 10, 11, 15]
alices_list = [1, 5, 8, 12, 14, 19]
print(merge_lists(my_list, alices_list)) | def merge_lists(a, b):
res = []
a_cur = 0
b_cur = 0
a_min = a[a_cur]
b_min = b[b_cur]
a_done = False
b_done = False
for i in range(len(a) + len(b)):
if (a_min <= b_min or b_done) and a_cur < len(a):
res.append(a_min)
a_cur += 1
if a_cur < len(a):
a_min = a[a_cur]
else:
a_done = True
if (a_min >= b_min or a_done) and b_cur < len(b):
res.append(b_min)
b_cur += 1
if a_cur < len(a):
b_min = b[b_cur]
else:
a_done = True
return res
def merge_lists_sol(my_list, alices_list):
merged_list_size = len(my_list) + len(alices_list)
merged_list = [None] * merged_list_size
current_index_alices = 0
current_index_mine = 0
current_index_merged = 0
while current_index_merged < merged_list_size:
is_my_list_exhausted = current_index_mine >= len(my_list)
is_alices_list_exhausted = current_index_alices >= len(alices_list)
if not is_my_list_exhausted and (is_alices_list_exhausted or my_list[current_index_mine] < alices_list[current_index_alices]):
merged_list[current_index_merged] = my_list[current_index_mine]
current_index_mine += 1
else:
merged_list[current_index_merged] = alices_list[current_index_alices]
current_index_alices += 1
current_index_merged += 1
return merged_list
my_list = [3, 4, 6, 10, 11, 15]
alices_list = [1, 5, 8, 12, 14, 19]
print(merge_lists(my_list, alices_list)) |
YOLO = dict()
# Datasets Parameter
YOLO['classes'] = ["aeroplane", "bicycle", "bird", "boat", "bottle"]
YOLO['datasets_path'] = '/home/tshzzz/disk_m2/jinnan_round2/datasets/round1_train/'
YOLO['anno_path'] = '/home/tshzzz/disk_m2/jinnan_round2/datasets/round1_train/jinnan_round1_train.json'
YOLO['val_path'] = '/home/tshzzz/disk_m2/jinnan_round2/datasets/round1_train/jinnan_round1_val.json'
YOLO['pretrain_model'] = './darknet53.conv.74'
YOLO['class_num'] = len(YOLO['classes'])
# Training Parameter
YOLO['save_dir'] = './608/'
YOLO['pretrain_model'] = './darknet53.conv.74'
YOLO['epochs'] = 80
YOLO['epochs_start'] = 0
YOLO['steps'] = [50,60]
YOLO['batch_size'] = 10
YOLO['start_lr'] = 1e-3
YOLO['image_size'] = [608, 608]
YOLO['featmap_size'] = [[19, 19]]
YOLO['anchor'] = [[[2.8523827,2.4452496 ],
[1.3892268,1.8958333 ],
[1.6490009,0.95596665],
[0.7680278,1.3883946 ],
[0.5605738,0.69167805]]]
| yolo = dict()
YOLO['classes'] = ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle']
YOLO['datasets_path'] = '/home/tshzzz/disk_m2/jinnan_round2/datasets/round1_train/'
YOLO['anno_path'] = '/home/tshzzz/disk_m2/jinnan_round2/datasets/round1_train/jinnan_round1_train.json'
YOLO['val_path'] = '/home/tshzzz/disk_m2/jinnan_round2/datasets/round1_train/jinnan_round1_val.json'
YOLO['pretrain_model'] = './darknet53.conv.74'
YOLO['class_num'] = len(YOLO['classes'])
YOLO['save_dir'] = './608/'
YOLO['pretrain_model'] = './darknet53.conv.74'
YOLO['epochs'] = 80
YOLO['epochs_start'] = 0
YOLO['steps'] = [50, 60]
YOLO['batch_size'] = 10
YOLO['start_lr'] = 0.001
YOLO['image_size'] = [608, 608]
YOLO['featmap_size'] = [[19, 19]]
YOLO['anchor'] = [[[2.8523827, 2.4452496], [1.3892268, 1.8958333], [1.6490009, 0.95596665], [0.7680278, 1.3883946], [0.5605738, 0.69167805]]] |
'''
Manages the ingestion rollback
File: rollback.py
Contains:
Singleton - metaclass for the Singleton pattern implementation
Rollback - a class storing and executing rollback commands
@author: livia
'''
class Singleton(type):
'''Metaclass to create Singleton classes
_instances - saves the instances of classes
'''
# saves the instances of the classes
_instances = {}
def __call__(self, *args, **kwargs):
'''Returns the instance if it already exists, creates a new instance if it doesn't exist
Returns:
an instance of a the class
'''
if self not in self._instances:
self._instances[self] = super(Singleton, self).__call__(*args, **kwargs)
return self._instances[self]
class Rollback(metaclass=Singleton):
'''
Class acting like a stack
can be used to store rollback commands and execute them in reversed order
'''
def __init__(self):
'''Constructor of Rollback
Input Parameter:
logger - a python logging object
'''
self._commands = []
def addCommand(self, command, params={}):
'''Adds a command to the rollback
Input parameters:
command - a command function
params - (default: {}) a keyword dictionary with the command function parameters
'''
newCommand = [command, params]
self._commands.append(newCommand)
def rollback(self):
'''Executes all the saved commands, starting with the last added command (lick a stack)
'''
for cmd in reversed(self._commands):
cmd[0](**cmd[1])
def getCommands(self):
'''Getter for commands
Returns:
commands (list) - a list of the saved commands
'''
return self._commands
| """
Manages the ingestion rollback
File: rollback.py
Contains:
Singleton - metaclass for the Singleton pattern implementation
Rollback - a class storing and executing rollback commands
@author: livia
"""
class Singleton(type):
"""Metaclass to create Singleton classes
_instances - saves the instances of classes
"""
_instances = {}
def __call__(self, *args, **kwargs):
"""Returns the instance if it already exists, creates a new instance if it doesn't exist
Returns:
an instance of a the class
"""
if self not in self._instances:
self._instances[self] = super(Singleton, self).__call__(*args, **kwargs)
return self._instances[self]
class Rollback(metaclass=Singleton):
"""
Class acting like a stack
can be used to store rollback commands and execute them in reversed order
"""
def __init__(self):
"""Constructor of Rollback
Input Parameter:
logger - a python logging object
"""
self._commands = []
def add_command(self, command, params={}):
"""Adds a command to the rollback
Input parameters:
command - a command function
params - (default: {}) a keyword dictionary with the command function parameters
"""
new_command = [command, params]
self._commands.append(newCommand)
def rollback(self):
"""Executes all the saved commands, starting with the last added command (lick a stack)
"""
for cmd in reversed(self._commands):
cmd[0](**cmd[1])
def get_commands(self):
"""Getter for commands
Returns:
commands (list) - a list of the saved commands
"""
return self._commands |
#!/usr/bin/env python3
file_contents = open('in.idf').read().upper()
if 'HVACTEMPLATE' in file_contents:
open('expanded.idf', 'w').write('HI')
open('BasementGHTIn.idf', 'w').write('HI')
open('GHTIn.idf', 'w').write('HI')
open('EPObjects.TXT', 'w').write('HI')
open('RunINPUT.TXT', 'w').write('HI')
open('RunDEBUGOUT.TXT', 'w').write('HI')
open('EPObjects.TXT', 'w').write('HI')
open('BasementGHTIn.idf', 'w').write('HI')
open('MonthlyResults.csv', 'w').write('HI')
open('BasementGHT.idd', 'w').write('HI')
open('SLABINP.TXT', 'w').write('HI')
open('GHTIn.idf', 'w').write('HI')
open('SLABSurfaceTemps.TXT', 'w').write('HI')
open('SLABSplit Surface Temps.TXT', 'w').write('HI')
open('SlabGHT.idd', 'w').write('HI')
| file_contents = open('in.idf').read().upper()
if 'HVACTEMPLATE' in file_contents:
open('expanded.idf', 'w').write('HI')
open('BasementGHTIn.idf', 'w').write('HI')
open('GHTIn.idf', 'w').write('HI')
open('EPObjects.TXT', 'w').write('HI')
open('RunINPUT.TXT', 'w').write('HI')
open('RunDEBUGOUT.TXT', 'w').write('HI')
open('EPObjects.TXT', 'w').write('HI')
open('BasementGHTIn.idf', 'w').write('HI')
open('MonthlyResults.csv', 'w').write('HI')
open('BasementGHT.idd', 'w').write('HI')
open('SLABINP.TXT', 'w').write('HI')
open('GHTIn.idf', 'w').write('HI')
open('SLABSurfaceTemps.TXT', 'w').write('HI')
open('SLABSplit Surface Temps.TXT', 'w').write('HI')
open('SlabGHT.idd', 'w').write('HI') |
BID_VALUE = 'BID_VALUE'
PASS = "PASS"
MIN_BID_VALUE = "MIN_BID_VALUE"
FIRST_ROUND_HONORS_MIN= "FIRST_ROUND_HONORS_MIN"
SECOND_ROUND_HONORS_MIN="SECOND_ROUND_HONORS_MIN"
TRUMP_CARD_ABBREVIATION= "CARD_ABBREVIATION"
| bid_value = 'BID_VALUE'
pass = 'PASS'
min_bid_value = 'MIN_BID_VALUE'
first_round_honors_min = 'FIRST_ROUND_HONORS_MIN'
second_round_honors_min = 'SECOND_ROUND_HONORS_MIN'
trump_card_abbreviation = 'CARD_ABBREVIATION' |
def quick_sort(ARRAY):
ARRAY_LENGTH = len(ARRAY)
if( ARRAY_LENGTH <= 1):
return ARRAY
else:
PIVOT = ARRAY[0]
GREATER = [ element for element in ARRAY[1:] if element > PIVOT ]
LESSER = [ element for element in ARRAY[1:] if element <= PIVOT ]
return quick_sort(LESSER) + [PIVOT] + quick_sort(GREATER) | def quick_sort(ARRAY):
array_length = len(ARRAY)
if ARRAY_LENGTH <= 1:
return ARRAY
else:
pivot = ARRAY[0]
greater = [element for element in ARRAY[1:] if element > PIVOT]
lesser = [element for element in ARRAY[1:] if element <= PIVOT]
return quick_sort(LESSER) + [PIVOT] + quick_sort(GREATER) |
# Python - 3.6.0
def is_triangle_number(number):
if type(number) != int:
return False
n, d = 0, 1
while n < number:
n += d
d += 1
return (number == n) or (number == 0)
| def is_triangle_number(number):
if type(number) != int:
return False
(n, d) = (0, 1)
while n < number:
n += d
d += 1
return number == n or number == 0 |
#!/usr/bin/env python3
class Module:
def __init__(self, name, method, options):
self.name = name
self.run = method
self.hasoptions = options
def processD(self, data, options):
return self.run(data, options)
def process(self, data):
return self.run(data)
def getName(self):
return self.name
def hasOptions(self):
return self.hasoptions
| class Module:
def __init__(self, name, method, options):
self.name = name
self.run = method
self.hasoptions = options
def process_d(self, data, options):
return self.run(data, options)
def process(self, data):
return self.run(data)
def get_name(self):
return self.name
def has_options(self):
return self.hasoptions |
"""
This is my first attempt at fibbonaci from memory.
I used cursors similar to how we work with linked lists.
"""
def fib_iterative(n):
prevprev = 0
prev = 1
curr = 0
# base cases
if n == 0:
return 0
if n == 1:
return 0
if n == 2:
return 1
# algorithm
for i in range(2, n):
curr = prev + prevprev
prevprev = prev
prev = curr
return curr
def fib_recursive(n):
if n == 0:
return 0
if n == 1:
return 0
if n == 2:
return 1
return fib_iterative(n - 1) + fib_recursive(n - 2)
memo = {0: 0, 1: 0, 2: 1}
def fib_memo(n):
try:
return memo[n]
except KeyError:
try:
n_1 = memo[n - 1]
except KeyError:
n_1 = fib_memo(n - 1)
memo[n - 1] = n_1
try:
n_2 = memo[n - 2]
except KeyError:
n_2 = fib_memo(n - 2)
memo[n - 2] = n_2
return n_1 + n_2
def fib_branch_prediction(n):
if n in memo:
return memo[n]
if n - 1 in memo:
n_1 = memo[n - 1]
else:
n_1 = fib_branch_prediction(n - 1)
memo[n - 1] = n_1
if n - 2 in memo:
n_2 = memo[n - 2]
else:
n_2 = fib_branch_prediction(n - 2)
memo[n - 2] = n_2
return n_1 + n_2
# # Iterative approach
# print("Testing iterative approach on 1-20")
# for i in range(1, 20):
# print(fib_iterative(i))
#
# # recursive
# print("Testing recursive approach on 1-20")
# for i in range(1, 20):
# print(fib_recursive(i))
#
# # Memoization
# memo = {0: 0, 1: 0, 2: 1}
# print("Testing memoization approach on 1-20")
# for i in range(1, 20):
# print(fib_memo(i))
#
# # Memoization with branch prediction
# memo = {0: 0, 1: 0, 2: 1}
# print("Testing branch prediction approach on 1-20")
# for i in range(1, 20):
# print(fib_branch_prediction(i))
#
# # Timed tests
#
# ns = 950
# memo = {0: 0, 1: 0, 2: 1}
#
# fib_memo(ns)
#
# memo = {0: 0, 1: 0, 2: 1}
# fib_branch_prediction(ns)
#
# fib_iterative(ns) | """
This is my first attempt at fibbonaci from memory.
I used cursors similar to how we work with linked lists.
"""
def fib_iterative(n):
prevprev = 0
prev = 1
curr = 0
if n == 0:
return 0
if n == 1:
return 0
if n == 2:
return 1
for i in range(2, n):
curr = prev + prevprev
prevprev = prev
prev = curr
return curr
def fib_recursive(n):
if n == 0:
return 0
if n == 1:
return 0
if n == 2:
return 1
return fib_iterative(n - 1) + fib_recursive(n - 2)
memo = {0: 0, 1: 0, 2: 1}
def fib_memo(n):
try:
return memo[n]
except KeyError:
try:
n_1 = memo[n - 1]
except KeyError:
n_1 = fib_memo(n - 1)
memo[n - 1] = n_1
try:
n_2 = memo[n - 2]
except KeyError:
n_2 = fib_memo(n - 2)
memo[n - 2] = n_2
return n_1 + n_2
def fib_branch_prediction(n):
if n in memo:
return memo[n]
if n - 1 in memo:
n_1 = memo[n - 1]
else:
n_1 = fib_branch_prediction(n - 1)
memo[n - 1] = n_1
if n - 2 in memo:
n_2 = memo[n - 2]
else:
n_2 = fib_branch_prediction(n - 2)
memo[n - 2] = n_2
return n_1 + n_2 |
def find_matches(s):
s = s + s[0]
m = []
for i in range(0, len(s) - 1):
if s[i] == s[i+1]:
m.append(int(s[i]))
return m
def captcha(s):
return sum(find_matches(s))
if __name__ == '__main__':
s = "428122498997587283996116951397957933569136949848379417125362532269869461185743113733992331379856446362482129646556286611543756564275715359874924898113424472782974789464348626278532936228881786273586278886575828239366794429223317476722337424399239986153675275924113322561873814364451339186918813451685263192891627186769818128715595715444565444581514677521874935942913547121751851631373316122491471564697731298951989511917272684335463436218283261962158671266625299188764589814518793576375629163896349665312991285776595142146261792244475721782941364787968924537841698538288459355159783985638187254653851864874544584878999193242641611859756728634623853475638478923744471563845635468173824196684361934269459459124269196811512927442662761563824323621758785866391424778683599179447845595931928589255935953295111937431266815352781399967295389339626178664148415561175386725992469782888757942558362117938629369129439717427474416851628121191639355646394276451847131182652486561415942815818785884559193483878139351841633366398788657844396925423217662517356486193821341454889283266691224778723833397914224396722559593959125317175899594685524852419495793389481831354787287452367145661829287518771631939314683137722493531318181315216342994141683484111969476952946378314883421677952397588613562958741328987734565492378977396431481215983656814486518865642645612413945129485464979535991675776338786758997128124651311153182816188924935186361813797251997643992686294724699281969473142721116432968216434977684138184481963845141486793996476793954226225885432422654394439882842163295458549755137247614338991879966665925466545111899714943716571113326479432925939227996799951279485722836754457737668191845914566732285928453781818792236447816127492445993945894435692799839217467253986218213131249786833333936332257795191937942688668182629489191693154184177398186462481316834678733713614889439352976144726162214648922159719979143735815478633912633185334529484779322818611438194522292278787653763328944421516569181178517915745625295158611636365253948455727653672922299582352766484"
print(captcha(s)) | def find_matches(s):
s = s + s[0]
m = []
for i in range(0, len(s) - 1):
if s[i] == s[i + 1]:
m.append(int(s[i]))
return m
def captcha(s):
return sum(find_matches(s))
if __name__ == '__main__':
s = '428122498997587283996116951397957933569136949848379417125362532269869461185743113733992331379856446362482129646556286611543756564275715359874924898113424472782974789464348626278532936228881786273586278886575828239366794429223317476722337424399239986153675275924113322561873814364451339186918813451685263192891627186769818128715595715444565444581514677521874935942913547121751851631373316122491471564697731298951989511917272684335463436218283261962158671266625299188764589814518793576375629163896349665312991285776595142146261792244475721782941364787968924537841698538288459355159783985638187254653851864874544584878999193242641611859756728634623853475638478923744471563845635468173824196684361934269459459124269196811512927442662761563824323621758785866391424778683599179447845595931928589255935953295111937431266815352781399967295389339626178664148415561175386725992469782888757942558362117938629369129439717427474416851628121191639355646394276451847131182652486561415942815818785884559193483878139351841633366398788657844396925423217662517356486193821341454889283266691224778723833397914224396722559593959125317175899594685524852419495793389481831354787287452367145661829287518771631939314683137722493531318181315216342994141683484111969476952946378314883421677952397588613562958741328987734565492378977396431481215983656814486518865642645612413945129485464979535991675776338786758997128124651311153182816188924935186361813797251997643992686294724699281969473142721116432968216434977684138184481963845141486793996476793954226225885432422654394439882842163295458549755137247614338991879966665925466545111899714943716571113326479432925939227996799951279485722836754457737668191845914566732285928453781818792236447816127492445993945894435692799839217467253986218213131249786833333936332257795191937942688668182629489191693154184177398186462481316834678733713614889439352976144726162214648922159719979143735815478633912633185334529484779322818611438194522292278787653763328944421516569181178517915745625295158611636365253948455727653672922299582352766484'
print(captcha(s)) |
PRED_DIR = './../../../predictions'
#
# TEST
#
# MultiRC
# Test Predictions
MULTIRC_TEST_BB_S1 = 'multirc_bert_blackbox_predictions_test.jsonl'
MULTIRC_TEST_BB_S2 = 'multirc_bert_blackbox_seed2_predictions_test.jsonl'
MULTIRC_TEST_BB_S3 = 'multirc_bert_blackbox_seed3_predictions_test.jsonl'
MULTIRC_TEST_BB_S4 = 'multirc_bert_blackbox_seed4_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S1 = 'multirc_singlesent_u_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S2 = 'multirc_singlesent_u_seed2_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S3 = 'multirc_singlesent_u_seed3_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S4 = 'multirc_singlesent_u_seed4_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_S_S1 = 'multirc_singlesent_s_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_S_S2 = 'multirc_singlesent_s_seed2_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_S_S3 = 'multirc_singlesent_s_seed3_predictions_test.jsonl'
MULTIRC_TEST_MULTI_U_S1 = 'multirc_twosent_u_predictions_test.jsonl'
MULTIRC_TEST_MULTI_U_S2 = 'multirc_twosent_u_seed2_predictions_test.jsonl'
MULTIRC_TEST_MULTI_U_S3 = 'multirc_twosent_u_seed3_predictions_test.jsonl'
MULTIRC_TEST_MULTI_S_S1 = 'multirc_twosent_s_predictions_test.jsonl'
MULTIRC_TEST_MULTI_S_S2 = 'multirc_twosent_s_seed2_predictions_test.jsonl'
MULTIRC_TEST_MULTI_S_S3 = 'multirc_twosent_s_seed3_predictions_test.jsonl'
# FEVER
FEVER_TEST_BB_S1 = 'fever_bert_blackbox_predictions_test.jsonl'
FEVER_TEST_BB_S2 = 'fever_bert_blackbox_seed2_predictions_test.jsonl'
FEVER_TEST_BB_S3 = 'fever_bert_blackbox_seed3_predictions_test.jsonl'
FEVER_TEST_SINGLE_U_S1 = 'fever_singlesent_u_predictions_test.jsonl'
FEVER_TEST_SINGLE_U_S2 = 'fever_singlesent_u_seed2_predictions_test.jsonl'
FEVER_TEST_SINGLE_U_S3 = 'fever_singlesent_u_seed3_predictions_test.jsonl'
FEVER_TEST_SINGLE_S_S1 = 'fever_singlesent_s_predictions_test.jsonl'
FEVER_TEST_SINGLE_S_S2 = 'fever_singlesent_s_seed2_predictions_test.jsonl'
FEVER_TEST_SINGLE_S_S3 = 'fever_singlesent_s_seed3_predictions_test.jsonl'
FEVER_TEST_MULTI_U_S1 = 'fever_twosent_u_predictions_test.jsonl'
FEVER_TEST_MULTI_U_S2 = 'fever_twosent_u_seed2_predictions_test.jsonl'
FEVER_TEST_MULTI_U_S3 = 'fever_twosent_u_seed3_predictions_test.jsonl'
FEVER_TEST_MULTI_S_S1 = 'fever_twosent_s_predictions_test.jsonl'
FEVER_TEST_MULTI_S_S2 = 'fever_twosent_s_seed2_predictions_test.jsonl'
FEVER_TEST_MULTI_S_S3 = 'fever_twosent_s_seed3_predictions_test.jsonl'
# Movies
MOVIES_TEST_BB_S1 = 'movies_bert_blackbox_predictions_test.jsonl'
MOVIES_TEST_BB_S2 = 'movies_bert_blackbox_seed2_predictions_test.jsonl'
MOVIES_TEST_BB_S3 = 'movies_bert_blackbox_seed3_predictions_test.jsonl'
MOVIES_TEST_SINGLE_U_S1 = 'movies_singlesent_u_predictions_test.jsonl'
MOVIES_TEST_SINGLE_U_S2 = 'movies_singlesent_u_seed2_predictions_test.jsonl'
MOVIES_TEST_SINGLE_U_S3 = 'movies_singlesent_u_seed3_predictions_test.jsonl'
MOVIES_TEST_SINGLE_S_S1 = 'movies_singlesent_s_predictions_test.jsonl'
MOVIES_TEST_SINGLE_S_S2 = 'movies_singlesent_s_seed2_predictions_test.jsonl'
MOVIES_TEST_SINGLE_S_S3 = 'movies_singlesent_s_seed3_predictions_test.jsonl'
#
# Val
#
SRC_BEST_MULTIRC_SINGLE_U = 'multirc_singlesent_u_predictions_val.jsonl'
SRC_BEST_MULTIRC_SINGLE_S = 'multirc_singlesent_s_seed3_predictions_val.jsonl'
SRC_BEST_MULTIRC_MULTI_U = 'multirc_twosent_u_seed3_predictions_val.jsonl'
SRC_BEST_MULTIRC_MULTI_S = 'multirc_twosent_s_predictions_val.jsonl'
SRC_BEST_FEVER_SINGLE_U = 'fever_singlesent_u_predictions_val.jsonl'
SRC_BEST_FEVER_SINGLE_S = 'fever_singlesent_s_seed3_predictions_val.jsonl'
SRC_BEST_FEVER_MULTI_U = 'fever_twosent_u_predictions_val.jsonl'
SRC_BEST_FEVER_MULTI_S = 'fever_twosent_s_seed2_predictions_val.jsonl'
#
# SYM
#
FEVER_TEST_BB_S1_SYM = 'fever_symmetric_bert_blackbox_predictions.jsonl'
FEVER_TEST_BB_S2_SYM = 'fever_symmetric_bert_blackbox_seed2_predictions.jsonl'
FEVER_TEST_BB_S3_SYM = 'fever_symmetric_bert_blackbox_seed3_predictions.jsonl'
FEVER_TEST_SINGLE_U_S1_SYM = 'fever_symmetric_singlesent_u_predictions.jsonl'
FEVER_TEST_SINGLE_U_S2_SYM = 'fever_symmetric_singlesent_u_seed2_predictions.jsonl'
FEVER_TEST_SINGLE_U_S3_SYM = 'fever_symmetric_singlesent_u_seed3_predictions.jsonl'
FEVER_TEST_SINGLE_S_S1_SYM = 'fever_symmetric_singlesent_s_predictions.jsonl'
FEVER_TEST_SINGLE_S_S2_SYM = 'fever_symmetric_singlesent_s_seed2_predictions.jsonl'
FEVER_TEST_SINGLE_S_S3_SYM = 'fever_symmetric_singlesent_s_seed3_predictions.jsonl' | pred_dir = './../../../predictions'
multirc_test_bb_s1 = 'multirc_bert_blackbox_predictions_test.jsonl'
multirc_test_bb_s2 = 'multirc_bert_blackbox_seed2_predictions_test.jsonl'
multirc_test_bb_s3 = 'multirc_bert_blackbox_seed3_predictions_test.jsonl'
multirc_test_bb_s4 = 'multirc_bert_blackbox_seed4_predictions_test.jsonl'
multirc_test_single_u_s1 = 'multirc_singlesent_u_predictions_test.jsonl'
multirc_test_single_u_s2 = 'multirc_singlesent_u_seed2_predictions_test.jsonl'
multirc_test_single_u_s3 = 'multirc_singlesent_u_seed3_predictions_test.jsonl'
multirc_test_single_u_s4 = 'multirc_singlesent_u_seed4_predictions_test.jsonl'
multirc_test_single_s_s1 = 'multirc_singlesent_s_predictions_test.jsonl'
multirc_test_single_s_s2 = 'multirc_singlesent_s_seed2_predictions_test.jsonl'
multirc_test_single_s_s3 = 'multirc_singlesent_s_seed3_predictions_test.jsonl'
multirc_test_multi_u_s1 = 'multirc_twosent_u_predictions_test.jsonl'
multirc_test_multi_u_s2 = 'multirc_twosent_u_seed2_predictions_test.jsonl'
multirc_test_multi_u_s3 = 'multirc_twosent_u_seed3_predictions_test.jsonl'
multirc_test_multi_s_s1 = 'multirc_twosent_s_predictions_test.jsonl'
multirc_test_multi_s_s2 = 'multirc_twosent_s_seed2_predictions_test.jsonl'
multirc_test_multi_s_s3 = 'multirc_twosent_s_seed3_predictions_test.jsonl'
fever_test_bb_s1 = 'fever_bert_blackbox_predictions_test.jsonl'
fever_test_bb_s2 = 'fever_bert_blackbox_seed2_predictions_test.jsonl'
fever_test_bb_s3 = 'fever_bert_blackbox_seed3_predictions_test.jsonl'
fever_test_single_u_s1 = 'fever_singlesent_u_predictions_test.jsonl'
fever_test_single_u_s2 = 'fever_singlesent_u_seed2_predictions_test.jsonl'
fever_test_single_u_s3 = 'fever_singlesent_u_seed3_predictions_test.jsonl'
fever_test_single_s_s1 = 'fever_singlesent_s_predictions_test.jsonl'
fever_test_single_s_s2 = 'fever_singlesent_s_seed2_predictions_test.jsonl'
fever_test_single_s_s3 = 'fever_singlesent_s_seed3_predictions_test.jsonl'
fever_test_multi_u_s1 = 'fever_twosent_u_predictions_test.jsonl'
fever_test_multi_u_s2 = 'fever_twosent_u_seed2_predictions_test.jsonl'
fever_test_multi_u_s3 = 'fever_twosent_u_seed3_predictions_test.jsonl'
fever_test_multi_s_s1 = 'fever_twosent_s_predictions_test.jsonl'
fever_test_multi_s_s2 = 'fever_twosent_s_seed2_predictions_test.jsonl'
fever_test_multi_s_s3 = 'fever_twosent_s_seed3_predictions_test.jsonl'
movies_test_bb_s1 = 'movies_bert_blackbox_predictions_test.jsonl'
movies_test_bb_s2 = 'movies_bert_blackbox_seed2_predictions_test.jsonl'
movies_test_bb_s3 = 'movies_bert_blackbox_seed3_predictions_test.jsonl'
movies_test_single_u_s1 = 'movies_singlesent_u_predictions_test.jsonl'
movies_test_single_u_s2 = 'movies_singlesent_u_seed2_predictions_test.jsonl'
movies_test_single_u_s3 = 'movies_singlesent_u_seed3_predictions_test.jsonl'
movies_test_single_s_s1 = 'movies_singlesent_s_predictions_test.jsonl'
movies_test_single_s_s2 = 'movies_singlesent_s_seed2_predictions_test.jsonl'
movies_test_single_s_s3 = 'movies_singlesent_s_seed3_predictions_test.jsonl'
src_best_multirc_single_u = 'multirc_singlesent_u_predictions_val.jsonl'
src_best_multirc_single_s = 'multirc_singlesent_s_seed3_predictions_val.jsonl'
src_best_multirc_multi_u = 'multirc_twosent_u_seed3_predictions_val.jsonl'
src_best_multirc_multi_s = 'multirc_twosent_s_predictions_val.jsonl'
src_best_fever_single_u = 'fever_singlesent_u_predictions_val.jsonl'
src_best_fever_single_s = 'fever_singlesent_s_seed3_predictions_val.jsonl'
src_best_fever_multi_u = 'fever_twosent_u_predictions_val.jsonl'
src_best_fever_multi_s = 'fever_twosent_s_seed2_predictions_val.jsonl'
fever_test_bb_s1_sym = 'fever_symmetric_bert_blackbox_predictions.jsonl'
fever_test_bb_s2_sym = 'fever_symmetric_bert_blackbox_seed2_predictions.jsonl'
fever_test_bb_s3_sym = 'fever_symmetric_bert_blackbox_seed3_predictions.jsonl'
fever_test_single_u_s1_sym = 'fever_symmetric_singlesent_u_predictions.jsonl'
fever_test_single_u_s2_sym = 'fever_symmetric_singlesent_u_seed2_predictions.jsonl'
fever_test_single_u_s3_sym = 'fever_symmetric_singlesent_u_seed3_predictions.jsonl'
fever_test_single_s_s1_sym = 'fever_symmetric_singlesent_s_predictions.jsonl'
fever_test_single_s_s2_sym = 'fever_symmetric_singlesent_s_seed2_predictions.jsonl'
fever_test_single_s_s3_sym = 'fever_symmetric_singlesent_s_seed3_predictions.jsonl' |
def main():
word = input()
print(''.join([word[0] if ord('A') <= ord(word[0]) <= ord(
'Z') else chr(ord(word[0]) - (ord('a') - ord('A')))] + list(word[1:])))
main()
| def main():
word = input()
print(''.join([word[0] if ord('A') <= ord(word[0]) <= ord('Z') else chr(ord(word[0]) - (ord('a') - ord('A')))] + list(word[1:])))
main() |
class Solution:
def isBalanced(self, root: Optional[TreeNode]) -> bool:
if not root:
return True
def maxDepth(root: Optional[TreeNode]) -> int:
if not root:
return 0
leftHeight = maxDepth(root.left)
if leftHeight == -1:
return -1
rightHeight = maxDepth(root.right)
if rightHeight == -1:
return -1
if abs(leftHeight - rightHeight) > 1:
return -1
return 1 + max(maxDepth(root.left), maxDepth(root.right))
return maxDepth(root) != -1
| class Solution:
def is_balanced(self, root: Optional[TreeNode]) -> bool:
if not root:
return True
def max_depth(root: Optional[TreeNode]) -> int:
if not root:
return 0
left_height = max_depth(root.left)
if leftHeight == -1:
return -1
right_height = max_depth(root.right)
if rightHeight == -1:
return -1
if abs(leftHeight - rightHeight) > 1:
return -1
return 1 + max(max_depth(root.left), max_depth(root.right))
return max_depth(root) != -1 |
def render_lines(lines_count):
s = "abcdefghijklmnopqrstuvwxyz"
yield from ("%d: %s" % (i + 1, s) for i in range(lines_count))
def render_text(lines_count):
return "\n".join(render_lines(lines_count))
#######################################################################################################################
def lines_width_height(lines):
w, h = 0, 0
for ln in lines:
w = max(w, len(ln))
h += 1
return w, h
def text_width_height(text):
return lines_width_height(text.splitlines(False))
#######################################################################################################################
def ellipsis_line(s, width, ellipsis_str="..."):
l = len(s)
if l <= width:
return s
ll = len(ellipsis_str)
lll = width - ll
if lll <= 0:
return s[:width]
return s[:lll] + ellipsis_str
#######################################################################################################################
def el_text_middle_str(width, lines_count, middle_ellipsis_str="..."):
s = "%s (%d lines)" % (middle_ellipsis_str, lines_count)
if len(s) <= width:
return s
s = "%s (%d)" % (middle_ellipsis_str, lines_count)
if len(s) <= width:
return s
s = "%s" % middle_ellipsis_str
if len(s) <= width:
return s
return s[:width]
def el_text_lines_1(height, lines):
if height < 0:
raise ValueError("height < 0")
if height <= 1:
yield from lines[:height]
elif height == 2:
yield from lines[:1]
else:
yield from lines[: height - 2]
def el_text_lines(
width,
height,
lines_count,
lines,
last_line,
ellipsis_str="...",
middle_ellipsis_str="...",
):
if lines_count <= height:
yield from (ellipsis_line(ln, width, ellipsis_str) for ln in lines[:height])
return
yield from (
ellipsis_line(ln, width, ellipsis_str) for ln in el_text_lines_1(height, lines)
)
if height > 1:
yield el_text_middle_str(width, lines_count, middle_ellipsis_str)
if height > 2:
yield ellipsis_line(last_line, width, ellipsis_str)
#######################################################################################################################
class TextEllipsis:
def __init__(
self,
width,
height,
line_seq=(),
text=None,
ellipsis_str="...",
middle_ellipsis_str="...",
):
assert width >= 0
assert height >= 0
self.ellipsis_str = ellipsis_str
self.middle_ellipsis_str = middle_ellipsis_str
self.width = width
self.height = height
self.lines_count = 0
self.lines = []
self.last_line = None
if line_seq:
self.feed_line_seq(line_seq)
if text is not None:
self.feed_text(text)
def feed_line(self, line):
if len(self.lines) < self.height:
self.lines.append(line)
self.lines_count += 1
self.last_line = line
def feed_line_seq(self, seq):
for line in seq:
self.feed_line(line)
def feed_text(self, text):
lines = text.splitlines(False)
self.feed_line_seq(lines)
def as_lines(self):
yield from el_text_lines(
self.width,
self.height,
self.lines_count,
self.lines,
self.last_line,
self.ellipsis_str,
self.middle_ellipsis_str,
)
def as_text(self):
return "\n".join(self.as_lines())
#######################################################################################################################
def text_ellipsis(
text, width=80, height=10, ellipsis_str="...", middle_ellipsis_str="..."
):
obj = TextEllipsis(
width,
height,
text=text,
ellipsis_str=ellipsis_str,
middle_ellipsis_str=middle_ellipsis_str,
)
return obj.as_text()
| def render_lines(lines_count):
s = 'abcdefghijklmnopqrstuvwxyz'
yield from ('%d: %s' % (i + 1, s) for i in range(lines_count))
def render_text(lines_count):
return '\n'.join(render_lines(lines_count))
def lines_width_height(lines):
(w, h) = (0, 0)
for ln in lines:
w = max(w, len(ln))
h += 1
return (w, h)
def text_width_height(text):
return lines_width_height(text.splitlines(False))
def ellipsis_line(s, width, ellipsis_str='...'):
l = len(s)
if l <= width:
return s
ll = len(ellipsis_str)
lll = width - ll
if lll <= 0:
return s[:width]
return s[:lll] + ellipsis_str
def el_text_middle_str(width, lines_count, middle_ellipsis_str='...'):
s = '%s (%d lines)' % (middle_ellipsis_str, lines_count)
if len(s) <= width:
return s
s = '%s (%d)' % (middle_ellipsis_str, lines_count)
if len(s) <= width:
return s
s = '%s' % middle_ellipsis_str
if len(s) <= width:
return s
return s[:width]
def el_text_lines_1(height, lines):
if height < 0:
raise value_error('height < 0')
if height <= 1:
yield from lines[:height]
elif height == 2:
yield from lines[:1]
else:
yield from lines[:height - 2]
def el_text_lines(width, height, lines_count, lines, last_line, ellipsis_str='...', middle_ellipsis_str='...'):
if lines_count <= height:
yield from (ellipsis_line(ln, width, ellipsis_str) for ln in lines[:height])
return
yield from (ellipsis_line(ln, width, ellipsis_str) for ln in el_text_lines_1(height, lines))
if height > 1:
yield el_text_middle_str(width, lines_count, middle_ellipsis_str)
if height > 2:
yield ellipsis_line(last_line, width, ellipsis_str)
class Textellipsis:
def __init__(self, width, height, line_seq=(), text=None, ellipsis_str='...', middle_ellipsis_str='...'):
assert width >= 0
assert height >= 0
self.ellipsis_str = ellipsis_str
self.middle_ellipsis_str = middle_ellipsis_str
self.width = width
self.height = height
self.lines_count = 0
self.lines = []
self.last_line = None
if line_seq:
self.feed_line_seq(line_seq)
if text is not None:
self.feed_text(text)
def feed_line(self, line):
if len(self.lines) < self.height:
self.lines.append(line)
self.lines_count += 1
self.last_line = line
def feed_line_seq(self, seq):
for line in seq:
self.feed_line(line)
def feed_text(self, text):
lines = text.splitlines(False)
self.feed_line_seq(lines)
def as_lines(self):
yield from el_text_lines(self.width, self.height, self.lines_count, self.lines, self.last_line, self.ellipsis_str, self.middle_ellipsis_str)
def as_text(self):
return '\n'.join(self.as_lines())
def text_ellipsis(text, width=80, height=10, ellipsis_str='...', middle_ellipsis_str='...'):
obj = text_ellipsis(width, height, text=text, ellipsis_str=ellipsis_str, middle_ellipsis_str=middle_ellipsis_str)
return obj.as_text() |
class FileLogger:
def __init__(self, file_path):
self.file_path = file_path
def log(self, data):
string = ' '.join(["%s=%s" % (key, value) for key, value in data.items()])
string += '\r\n'
self.write(string)
# TODO: make write function async <<<
def write(self, string):
""" Not async :(( """
with open(self.file_path, "a") as logfile:
logfile.write(string) | class Filelogger:
def __init__(self, file_path):
self.file_path = file_path
def log(self, data):
string = ' '.join(['%s=%s' % (key, value) for (key, value) in data.items()])
string += '\r\n'
self.write(string)
def write(self, string):
""" Not async :(( """
with open(self.file_path, 'a') as logfile:
logfile.write(string) |
salt_email = "1e698bd5135c4e0321b40c8842bb0f8b9217ffdd3ca1e56d5b9ac5abbbb3136c"
d = {}
with open('imdb-1.csv', 'r') as f:
for line in f.readlines():
sp = line.split(',')
movie = sp[1]
date = sp[2].strip()
rating = sp[3].strip()
if date + "," + rating in d:
d[date + "," + rating].append(movie)
else:
d[date + "," + rating] = [movie]
mov_d = {}
with open('com402-1.csv', 'r') as f:
for line in f.readlines():
sp = line.split(',')
salt_movie = sp[1]
date = sp[2].strip()
rating = sp[3].strip()
k = date + ',' + rating
if k in d and len(d[k]) == 1:
mov_d[salt_movie] = d[k][0].strip()[1:-1]
with open('com402-1.csv', 'r') as f:
for line in f.readlines():
sp = line.split(',')
if sp[0] == salt_email:
salt_movie = sp[1]
print(mov_d[salt_movie])
| salt_email = '1e698bd5135c4e0321b40c8842bb0f8b9217ffdd3ca1e56d5b9ac5abbbb3136c'
d = {}
with open('imdb-1.csv', 'r') as f:
for line in f.readlines():
sp = line.split(',')
movie = sp[1]
date = sp[2].strip()
rating = sp[3].strip()
if date + ',' + rating in d:
d[date + ',' + rating].append(movie)
else:
d[date + ',' + rating] = [movie]
mov_d = {}
with open('com402-1.csv', 'r') as f:
for line in f.readlines():
sp = line.split(',')
salt_movie = sp[1]
date = sp[2].strip()
rating = sp[3].strip()
k = date + ',' + rating
if k in d and len(d[k]) == 1:
mov_d[salt_movie] = d[k][0].strip()[1:-1]
with open('com402-1.csv', 'r') as f:
for line in f.readlines():
sp = line.split(',')
if sp[0] == salt_email:
salt_movie = sp[1]
print(mov_d[salt_movie]) |
class CoffeeMachine:
def __init__(self, water=0, milk=0, coffee=0, cups=0, money=0):
self.water = water
self.milk = milk
self.coffee = coffee
self.cups = cups
self.money = money
@classmethod
def coffee_params(cls, param):
dict_param = {"1": (250, 0, 16, 1, 4),
"2": (350, 75, 20, 1, 7),
"3": (200, 100, 12, 1, 6)}
return dict_param[param]
def check_resourses(self, *res):
water, milk, coffee, cups, money = res
if self.water < water:
print("Sorry, not enough water!")
return False
if self.milk < milk:
print("Sorry, not enough milk!")
return False
if self.coffee < coffee:
print("Sorry, not enough coffee beans!")
return False
if self.cups < cups:
print("Sorry, not enough disposable cups!")
return False
return True
def make_some_coffee(self, type_of_coffee):
coffee_params = CoffeeMachine.coffee_params(type_of_coffee)
if self.check_resourses(*coffee_params):
self.water -= coffee_params[0]
self.milk -= coffee_params[1]
self.coffee -= coffee_params[2]
self.cups -= coffee_params[3]
self.money += coffee_params[4]
print("I have enough resources, making you a coffee!")
def action_buy(self):
print("What do you want to buy? 1 - espresso, 2 - latte, 3 - cappuccino, back - to main menu:", end=" ")
type_of_coffee = input()
if type_of_coffee in "123":
self.make_some_coffee(type_of_coffee)
def action_fill(self):
print("Write how many ml of water do you want to add:", end=" ")
water = int(input())
self.water += water
print("Write how many ml of milk do you want to add:", end=" ")
milk = int(input())
self.milk += milk
print("Write how many grams of coffee beans do you want to add: ", end=" ")
coffee = int(input())
self.coffee += coffee
print("Write how many disposable cups of coffee do you want to add:", end=" ")
cups = int(input())
self.cups += cups
def action_take(self):
summ = self.money
print(f"I gave you ${summ}")
self.money = 0
def print_status(self):
print("The coffee machine has:")
print(f"{self.water} of water")
print(f"{self.milk} of milk")
print(f"{self.coffee} of coffee beans")
print(f"{self.cups} of disposable cups")
print(f"${self.money} of money")
print()
def current_state(self):
print("Write action (buy, fill, take, remaining, exit):", end=" ")
self.act = input()
def main():
m = CoffeeMachine(400, 540, 120, 9, 550)
while True:
m.current_state()
if m.act == "buy":
m.action_buy()
elif m.act == "fill":
m.action_fill()
elif m.act == "take":
m.action_take()
elif m.act == "remaining":
m.print_status()
elif m.act == "exit":
break
if __name__ == "__main__":
main()
| class Coffeemachine:
def __init__(self, water=0, milk=0, coffee=0, cups=0, money=0):
self.water = water
self.milk = milk
self.coffee = coffee
self.cups = cups
self.money = money
@classmethod
def coffee_params(cls, param):
dict_param = {'1': (250, 0, 16, 1, 4), '2': (350, 75, 20, 1, 7), '3': (200, 100, 12, 1, 6)}
return dict_param[param]
def check_resourses(self, *res):
(water, milk, coffee, cups, money) = res
if self.water < water:
print('Sorry, not enough water!')
return False
if self.milk < milk:
print('Sorry, not enough milk!')
return False
if self.coffee < coffee:
print('Sorry, not enough coffee beans!')
return False
if self.cups < cups:
print('Sorry, not enough disposable cups!')
return False
return True
def make_some_coffee(self, type_of_coffee):
coffee_params = CoffeeMachine.coffee_params(type_of_coffee)
if self.check_resourses(*coffee_params):
self.water -= coffee_params[0]
self.milk -= coffee_params[1]
self.coffee -= coffee_params[2]
self.cups -= coffee_params[3]
self.money += coffee_params[4]
print('I have enough resources, making you a coffee!')
def action_buy(self):
print('What do you want to buy? 1 - espresso, 2 - latte, 3 - cappuccino, back - to main menu:', end=' ')
type_of_coffee = input()
if type_of_coffee in '123':
self.make_some_coffee(type_of_coffee)
def action_fill(self):
print('Write how many ml of water do you want to add:', end=' ')
water = int(input())
self.water += water
print('Write how many ml of milk do you want to add:', end=' ')
milk = int(input())
self.milk += milk
print('Write how many grams of coffee beans do you want to add: ', end=' ')
coffee = int(input())
self.coffee += coffee
print('Write how many disposable cups of coffee do you want to add:', end=' ')
cups = int(input())
self.cups += cups
def action_take(self):
summ = self.money
print(f'I gave you ${summ}')
self.money = 0
def print_status(self):
print('The coffee machine has:')
print(f'{self.water} of water')
print(f'{self.milk} of milk')
print(f'{self.coffee} of coffee beans')
print(f'{self.cups} of disposable cups')
print(f'${self.money} of money')
print()
def current_state(self):
print('Write action (buy, fill, take, remaining, exit):', end=' ')
self.act = input()
def main():
m = coffee_machine(400, 540, 120, 9, 550)
while True:
m.current_state()
if m.act == 'buy':
m.action_buy()
elif m.act == 'fill':
m.action_fill()
elif m.act == 'take':
m.action_take()
elif m.act == 'remaining':
m.print_status()
elif m.act == 'exit':
break
if __name__ == '__main__':
main() |
#list creation
l1=list()
for i in range(5):
l1.append(input("enter name:"))
print(l1)
| l1 = list()
for i in range(5):
l1.append(input('enter name:'))
print(l1) |
class Number:
def __init__(self, num) -> None:
self.num = num
def __iter__(self):
return self
def __next__(self):
if self.num < 10:
x = self.num
self.num += 1
return x
else: raise StopIteration
my_number = Number(5)
my_number_iterator = iter(my_number)
for n in my_number_iterator:
print(n) | class Number:
def __init__(self, num) -> None:
self.num = num
def __iter__(self):
return self
def __next__(self):
if self.num < 10:
x = self.num
self.num += 1
return x
else:
raise StopIteration
my_number = number(5)
my_number_iterator = iter(my_number)
for n in my_number_iterator:
print(n) |
"""
@version: 2.0
@author: Chao Chen
@contact: cchao@didiglobal.com
"""
| """
@version: 2.0
@author: Chao Chen
@contact: cchao@didiglobal.com
""" |
{
'targets': [
{
'target_name': 'memwatch',
'include_dirs': [
],
'variables': {
'node_ver': '<!(node --version | sed -e "s/^v\([0-9]*\\.[0-9]*\).*$/\\1/")'
},
'sources': [
'src/heapdiff.cc',
'src/init.cc',
'src/memwatch.cc',
'src/util.cc'
],
'target_conditions': [
['node_ver=="0.8"', { 'defines': ['NEW_COMPACTION_BEHAVIOR'] } ]
]
}
]
}
| {'targets': [{'target_name': 'memwatch', 'include_dirs': [], 'variables': {'node_ver': '<!(node --version | sed -e "s/^v\\([0-9]*\\.[0-9]*\\).*$/\\1/")'}, 'sources': ['src/heapdiff.cc', 'src/init.cc', 'src/memwatch.cc', 'src/util.cc'], 'target_conditions': [['node_ver=="0.8"', {'defines': ['NEW_COMPACTION_BEHAVIOR']}]]}]} |
# -*- coding: utf-8 -*-
# Copyright (2017) Hewlett Packard Enterprise Development LP
#
# 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 agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
class OneViewRedfishError(Exception):
def __init__(self, msg):
self.msg = msg
class OneViewRedfishResourceNotFoundError(OneViewRedfishError):
def __init__(self, resource_name, resource_type):
self.msg = "{} {} not found".format(resource_type, resource_name)
class OneViewRedfishResourceNotAccessibleError(OneViewRedfishError):
def __init__(self, resource_name, resource_type):
self.msg = "Can't access {} {}".format(resource_type, resource_name)
| class Oneviewredfisherror(Exception):
def __init__(self, msg):
self.msg = msg
class Oneviewredfishresourcenotfounderror(OneViewRedfishError):
def __init__(self, resource_name, resource_type):
self.msg = '{} {} not found'.format(resource_type, resource_name)
class Oneviewredfishresourcenotaccessibleerror(OneViewRedfishError):
def __init__(self, resource_name, resource_type):
self.msg = "Can't access {} {}".format(resource_type, resource_name) |
UA = ["Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)",
"Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
"Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)",
"Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)",
"Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0",
"Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5",
"Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20",
"Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; Media Center PC 6.0; InfoPath.3; MS-RTC LM 8; Zune 4.7)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; Media Center PC 6.0; InfoPath.3; MS-RTC LM 8; Zune 4.7",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; Zune 4.0; InfoPath.3; MS-RTC LM 8; .NET4.0C; .NET4.0E)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 2.0.50727; SLCC2; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; Zune 4.0; Tablet PC 2.0; InfoPath.3; .NET4.0C; .NET4.0E)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0; chromeframe/11.0.696.57)",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0) chromeframe/10.0.648.205",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.0; Trident/5.0; chromeframe/11.0.696.57)",
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MS-RTC LM 8)', 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.3; Zune 4.0)', 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.3; .NET4.0C; .NET4.0E; MS-RTC LM 8; Zune 4.7)', 'Mozilla/5.0 (X11; Linux x86_64; rv:2.2a1pre) Gecko/20110324 Firefox/4.2a1pre', 'Mozilla/5.0 (X11; Linux x86_64; rv:2.2a1pre) Gecko/20100101 Firefox/4.2a1pre', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.2a1pre) Gecko/20110324 Firefox/4.2a1pre', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.2a1pre) Gecko/20110323 Firefox/4.2a1pre', 'Mozilla/5.0 (X11; Linux x86_64; rv:2.0b9pre) Gecko/20110111 Firefox/4.0b9pre', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b9pre) Gecko/20101228 Firefox/4.0b9pre', 'Mozilla/5.0 (Windows NT 5.1; rv:2.0b9pre) Gecko/20110105 Firefox/4.0b9pre', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:2.0b8pre) Gecko/20101114 Firefox/4.0b8pre', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b8pre) Gecko/20101213 Firefox/4.0b8pre', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b8pre) Gecko/20101128 Firefox/4.0b8pre', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b8pre) Gecko/20101114 Firefox/4.0b8pre', 'Mozilla/5.0 (Windows NT 5.1; rv:2.0b8pre) Gecko/20101127 Firefox/4.0b8pre', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0b8) Gecko/20100101 Firefox/4.0b8', 'Mozilla/5.0 (Windows NT 6.1; rv:2.0b7pre) Gecko/20100921 Firefox/4.0b7pre', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:2.0b7) Gecko/20101111 Firefox/4.0b7', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:2.0b7) Gecko/20100101 Firefox/4.0b7', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:2.0b6pre) Gecko/20100903 Firefox/4.0b6pre', 'Mozilla/5.0 (Windows NT 6.1; rv:2.0b6pre) Gecko/20100903 Firefox/4.0b6pre Firefox/4.0b6pre', 'Mozilla/5.0 (X11; Linux x86_64; rv:2.0b4) Gecko/20100818 Firefox/4.0b4', 'Mozilla/5.0 (X11; Linux i686; rv:2.0b3pre) Gecko/20100731 Firefox/4.0b3pre', 'Mozilla/5.0 (Windows NT 5.2; rv:2.0b13pre) Gecko/20110304 Firefox/4.0b13pre', 'Mozilla/5.0 (Windows NT 5.1; rv:2.0b13pre) Gecko/20110223 Firefox/4.0b13pre', 'Mozilla/5.0 (X11; Linux i686; rv:2.0b12pre) Gecko/20100101 Firefox/4.0b12pre']
request_form_data = {'param': 'postid=1025461213&sort=1&sorttype=1&p=1&ps=30', 'path': 'reply/api/Reply/ArticleNewReplyList', 'env': '2'}
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36 Edg/88.0.705.74', 'Origin': 'https://guba.eastmoney.com', 'Referer': 'https://guba.eastmoney.com/list,002074.html', 'Host': 'guba.eastmoney.com'} |
#http://shell-storm.org/shellcode/files/shellcode-165.php
#I can use it ..
"""
00000000 EB2B jmp short 0x2d
00000002 5E pop esi
00000003 31C0 xor eax,eax
00000005 88460B mov [esi+0xb],al
00000008 884629 mov [esi+0x29],al
0000000B 50 push eax
0000000C B009 mov al,0x9
0000000E 50 push eax
0000000F 31C0 xor eax,eax
00000011 56 push esi
00000012 50 push eax
00000013 B005 mov al,0x5
00000015 CD80 int 0x80
00000017 89C3 mov ebx,eax
00000019 6A1D push byte +0x1d
0000001B 8D460C lea eax,[esi+0xc]
0000001E 50 push eax
0000001F 53 push ebx
00000020 50 push eax
00000021 31C0 xor eax,eax
00000023 B004 mov al,0x4
00000025 CD80 int 0x80
00000027 31C0 xor eax,eax
00000029 B001 mov al,0x1
0000002B CD80 int 0x80
0000002D E8D0FFFFFF call dword 0x2
00000032 2F das
00000033 746D jz 0xa2
00000035 702F jo 0x66
00000037 7061 jo 0x9a
00000039 7373 jnc 0xae
0000003B 7764 ja 0xa1
0000003D 307730 xor [edi+0x30],dh
00000040 307730 xor [edi+0x30],dh
00000043 303A xor [edx],bh
00000045 3A30 cmp dh,[eax]
00000047 3A30 cmp dh,[eax]
00000049 3A7730 cmp dh,[edi+0x30]
0000004C 307730 xor [edi+0x30],dh
0000004F 303A xor [edx],bh
00000051 2F das
00000052 3A2F cmp ch,[edi]
00000054 62696E bound ebp,[ecx+0x6e]
00000057 2F das
00000058 7368 jnc 0xc2
0000005A 0A30 or dh,[eax]
0000005C FF db 0xff
0000005D FF db 0xff
0000005E FF db 0xff
0000005F FF db 0xff
00000060 FF db 0xff
00000061 FF db 0xff
00000062 FF db 0xff
00000063 FF db 0xff
00000064 FF db 0xff
00000065 FF db 0xff
00000066 FF db 0xff
00000067 FF db 0xff
00000068 FF db 0xff
00000069 FF db 0xff
0000006A FF db 0xff
0000006B FF db 0xff
0000006C FF db 0xff
0000006D FF db 0xff
0000006E FF db 0xff
0000006F FF db 0xff
""" | """
00000000 EB2B jmp short 0x2d
00000002 5E pop esi
00000003 31C0 xor eax,eax
00000005 88460B mov [esi+0xb],al
00000008 884629 mov [esi+0x29],al
0000000B 50 push eax
0000000C B009 mov al,0x9
0000000E 50 push eax
0000000F 31C0 xor eax,eax
00000011 56 push esi
00000012 50 push eax
00000013 B005 mov al,0x5
00000015 CD80 int 0x80
00000017 89C3 mov ebx,eax
00000019 6A1D push byte +0x1d
0000001B 8D460C lea eax,[esi+0xc]
0000001E 50 push eax
0000001F 53 push ebx
00000020 50 push eax
00000021 31C0 xor eax,eax
00000023 B004 mov al,0x4
00000025 CD80 int 0x80
00000027 31C0 xor eax,eax
00000029 B001 mov al,0x1
0000002B CD80 int 0x80
0000002D E8D0FFFFFF call dword 0x2
00000032 2F das
00000033 746D jz 0xa2
00000035 702F jo 0x66
00000037 7061 jo 0x9a
00000039 7373 jnc 0xae
0000003B 7764 ja 0xa1
0000003D 307730 xor [edi+0x30],dh
00000040 307730 xor [edi+0x30],dh
00000043 303A xor [edx],bh
00000045 3A30 cmp dh,[eax]
00000047 3A30 cmp dh,[eax]
00000049 3A7730 cmp dh,[edi+0x30]
0000004C 307730 xor [edi+0x30],dh
0000004F 303A xor [edx],bh
00000051 2F das
00000052 3A2F cmp ch,[edi]
00000054 62696E bound ebp,[ecx+0x6e]
00000057 2F das
00000058 7368 jnc 0xc2
0000005A 0A30 or dh,[eax]
0000005C FF db 0xff
0000005D FF db 0xff
0000005E FF db 0xff
0000005F FF db 0xff
00000060 FF db 0xff
00000061 FF db 0xff
00000062 FF db 0xff
00000063 FF db 0xff
00000064 FF db 0xff
00000065 FF db 0xff
00000066 FF db 0xff
00000067 FF db 0xff
00000068 FF db 0xff
00000069 FF db 0xff
0000006A FF db 0xff
0000006B FF db 0xff
0000006C FF db 0xff
0000006D FF db 0xff
0000006E FF db 0xff
0000006F FF db 0xff
""" |
def display(board_state):
n = board_state.shape[0]
print(" ", end="")
for y in range(n):
print(chr(ord('a') + y),"", end="")
print("")
print(" ", end="")
for _ in range(n):
print ("-", end="-")
print("--")
for x in range(n):
print(x, "|",end="") # print the row #
for y in range(n):
piece = board_state[y][x] # get the piece to print
if piece == -1: print("X ",end="")
elif piece == 1: print("O ",end="")
else:
if x==n:
print("-",end="")
else:
print("- ",end="")
print("|")
print(" ", end="")
for _ in range(n):
print("-", end="-")
print("--") | def display(board_state):
n = board_state.shape[0]
print(' ', end='')
for y in range(n):
print(chr(ord('a') + y), '', end='')
print('')
print(' ', end='')
for _ in range(n):
print('-', end='-')
print('--')
for x in range(n):
print(x, '|', end='')
for y in range(n):
piece = board_state[y][x]
if piece == -1:
print('X ', end='')
elif piece == 1:
print('O ', end='')
elif x == n:
print('-', end='')
else:
print('- ', end='')
print('|')
print(' ', end='')
for _ in range(n):
print('-', end='-')
print('--') |
first_name = "Feng"
last_name = "Li"
####################################################
# Repetitions of string
full_name = first_name * 3
print(full_name, "binggo", sep='|')
| first_name = 'Feng'
last_name = 'Li'
full_name = first_name * 3
print(full_name, 'binggo', sep='|') |
#!/usr/bin/env python
"""Docstring"""
__author__ = "Petar Stoyanov"
def main():
"""Docstring"""
if __name__ == '__main__':
main()
| """Docstring"""
__author__ = 'Petar Stoyanov'
def main():
"""Docstring"""
if __name__ == '__main__':
main() |
x = int(input())
a = int(input())
b = int(input())
t = x - a
k = 0
while t - b * k >= 0:
k += 1
print(t - b * (k - 1))
| x = int(input())
a = int(input())
b = int(input())
t = x - a
k = 0
while t - b * k >= 0:
k += 1
print(t - b * (k - 1)) |
# pylint: disable=all
class MockResponse:
def __init__(self, status_code, json_data):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
GOOD_MANIFEST = MockResponse(
200,
{
"@context": "http://iiif.io/api/presentation/2/context.json",
"label": "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest",
"@type": "sc:Manifest",
"sequences": [
{
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal",
"@type": "sc:Sequence",
"canvases": [
{
"@type": "sc:Canvas",
"label": "Front Board Outside",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748",
"width": 5332,
"height": 7006,
"images": [
{
"@type": "oa:Annotation",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/hm957748",
"motivation": "sc:painting",
"on": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748",
"resource": {
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748/full/600,/0/default.jpg",
"@type": "dctypes:Image",
"format": "image/jpeg",
"service": {
"@context": "http://iiif.io/api/image/2/context.json",
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748",
"profile": "http://iiif.io/api/image/2/level0.json",
},
},
}
],
},
{
"@type": "sc:Canvas",
"label": "f. 001r",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c",
"width": 5332,
"height": 7008,
"images": [
{
"@type": "oa:Annotation",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/zw07hs0c",
"motivation": "sc:painting",
"on": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c",
"resource": {
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c/full/600,/0/default.jpg",
"@type": "dctypes:Image",
"format": "image/jpeg",
"service": {
"@context": "http://iiif.io/api/image/2/context.json",
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c",
"profile": "http://iiif.io/api/image/2/level0.json",
},
},
}
],
},
{
"@type": "sc:Canvas",
"label": "f. 049v",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r",
"width": 5332,
"height": 7008,
"images": [
{
"@type": "oa:Annotation",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/dw84c98r",
"motivation": "sc:painting",
"on": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r",
"resource": {
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r/full/600,/0/default.jpg",
"@type": "dctypes:Image",
"format": "image/jpeg",
"service": {
"@context": "http://iiif.io/api/image/2/context.json",
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r",
"profile": "http://iiif.io/api/image/2/level0.json",
},
},
}
],
},
],
}
],
},
)
MANIFEST_WITHOUT_F001R = MockResponse(
200,
{
"@context": "http://iiif.io/api/presentation/2/context.json",
"label": "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest",
"@type": "sc:Manifest",
"sequences": [
{
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal",
"@type": "sc:Sequence",
"canvases": [
{
"@type": "sc:Canvas",
"label": "Front Board Outside",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748",
"width": 5332,
"height": 7006,
"images": [
{
"@type": "oa:Annotation",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/hm957748",
"motivation": "sc:painting",
"on": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748",
"resource": {
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748/full/600,/0/default.jpg",
"@type": "dctypes:Image",
"format": "image/jpeg",
"service": {
"@context": "http://iiif.io/api/image/2/context.json",
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748",
"profile": "http://iiif.io/api/image/2/level0.json",
},
},
}
],
},
{
"@type": "sc:Canvas",
"label": "f. 001v",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c",
"width": 5332,
"height": 7008,
"images": [
{
"@type": "oa:Annotation",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/zw07hs0c",
"motivation": "sc:painting",
"on": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c",
"resource": {
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c/full/600,/0/default.jpg",
"@type": "dctypes:Image",
"format": "image/jpeg",
"service": {
"@context": "http://iiif.io/api/image/2/context.json",
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c",
"profile": "http://iiif.io/api/image/2/level0.json",
},
},
}
],
},
{
"@type": "sc:Canvas",
"label": "f. 049v",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r",
"width": 5332,
"height": 7008,
"images": [
{
"@type": "oa:Annotation",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/dw84c98r",
"motivation": "sc:painting",
"on": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r",
"resource": {
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r/full/600,/0/default.jpg",
"@type": "dctypes:Image",
"format": "image/jpeg",
"service": {
"@context": "http://iiif.io/api/image/2/context.json",
"@id": "https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r",
"profile": "http://iiif.io/api/image/2/level0.json",
},
},
}
],
},
],
}
],
},
)
MANIFEST_WITHOUT_IMAGES = MockResponse(
200,
{
"@context": "http://iiif.io/api/presentation/2/context.json",
"label": "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest",
"@type": "sc:Manifest",
"sequences": [
{
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal",
"@type": "sc:Sequence",
"canvases": [
{
"@type": "sc:Canvas",
"label": "Front Board Outside",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748",
"width": 5332,
"height": 7006,
"images": [],
},
],
}
],
},
)
BAD_MANIFEST = MockResponse(
200,
{
"@context": "http://iiif.io/api/presentation/2/context.json",
"label": "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest",
"@type": "sc:Manifest",
"json_mistake": [
{
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal",
"@type": "sc:Sequence",
"canvases": [
{
"@type": "sc:Canvas",
"label": "Front Board Outside",
"@id": "http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748",
"width": 5332,
"height": 7006,
"images": [],
},
],
}
],
},
)
| class Mockresponse:
def __init__(self, status_code, json_data):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
good_manifest = mock_response(200, {'@context': 'http://iiif.io/api/presentation/2/context.json', 'label': "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt", '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest', '@type': 'sc:Manifest', 'sequences': [{'@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal', '@type': 'sc:Sequence', 'canvases': [{'@type': 'sc:Canvas', 'label': 'Front Board Outside', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748', 'width': 5332, 'height': 7006, 'images': [{'@type': 'oa:Annotation', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/hm957748', 'motivation': 'sc:painting', 'on': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748', 'resource': {'@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748/full/600,/0/default.jpg', '@type': 'dctypes:Image', 'format': 'image/jpeg', 'service': {'@context': 'http://iiif.io/api/image/2/context.json', '@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748', 'profile': 'http://iiif.io/api/image/2/level0.json'}}}]}, {'@type': 'sc:Canvas', 'label': 'f. 001r', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c', 'width': 5332, 'height': 7008, 'images': [{'@type': 'oa:Annotation', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/zw07hs0c', 'motivation': 'sc:painting', 'on': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c', 'resource': {'@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c/full/600,/0/default.jpg', '@type': 'dctypes:Image', 'format': 'image/jpeg', 'service': {'@context': 'http://iiif.io/api/image/2/context.json', '@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c', 'profile': 'http://iiif.io/api/image/2/level0.json'}}}]}, {'@type': 'sc:Canvas', 'label': 'f. 049v', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r', 'width': 5332, 'height': 7008, 'images': [{'@type': 'oa:Annotation', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/dw84c98r', 'motivation': 'sc:painting', 'on': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r', 'resource': {'@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r/full/600,/0/default.jpg', '@type': 'dctypes:Image', 'format': 'image/jpeg', 'service': {'@context': 'http://iiif.io/api/image/2/context.json', '@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r', 'profile': 'http://iiif.io/api/image/2/level0.json'}}}]}]}]})
manifest_without_f001_r = mock_response(200, {'@context': 'http://iiif.io/api/presentation/2/context.json', 'label': "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt", '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest', '@type': 'sc:Manifest', 'sequences': [{'@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal', '@type': 'sc:Sequence', 'canvases': [{'@type': 'sc:Canvas', 'label': 'Front Board Outside', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748', 'width': 5332, 'height': 7006, 'images': [{'@type': 'oa:Annotation', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/hm957748', 'motivation': 'sc:painting', 'on': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748', 'resource': {'@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748/full/600,/0/default.jpg', '@type': 'dctypes:Image', 'format': 'image/jpeg', 'service': {'@context': 'http://iiif.io/api/image/2/context.json', '@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fhm957748', 'profile': 'http://iiif.io/api/image/2/level0.json'}}}]}, {'@type': 'sc:Canvas', 'label': 'f. 001v', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c', 'width': 5332, 'height': 7008, 'images': [{'@type': 'oa:Annotation', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/zw07hs0c', 'motivation': 'sc:painting', 'on': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/zw07hs0c', 'resource': {'@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c/full/600,/0/default.jpg', '@type': 'dctypes:Image', 'format': 'image/jpeg', 'service': {'@context': 'http://iiif.io/api/image/2/context.json', '@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fzw07hs0c', 'profile': 'http://iiif.io/api/image/2/level0.json'}}}]}, {'@type': 'sc:Canvas', 'label': 'f. 049v', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r', 'width': 5332, 'height': 7008, 'images': [{'@type': 'oa:Annotation', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/annotation/dw84c98r', 'motivation': 'sc:painting', 'on': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/dw84c98r', 'resource': {'@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r/full/600,/0/default.jpg', '@type': 'dctypes:Image', 'format': 'image/jpeg', 'service': {'@context': 'http://iiif.io/api/image/2/context.json', '@id': 'https://iiif.sinaimanuscripts.library.ucla.edu/iiif/2/ark%3A%2F21198%2Fz14b44n8%2Fdw84c98r', 'profile': 'http://iiif.io/api/image/2/level0.json'}}}]}]}]})
manifest_without_images = mock_response(200, {'@context': 'http://iiif.io/api/presentation/2/context.json', 'label': "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt", '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest', '@type': 'sc:Manifest', 'sequences': [{'@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal', '@type': 'sc:Sequence', 'canvases': [{'@type': 'sc:Canvas', 'label': 'Front Board Outside', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748', 'width': 5332, 'height': 7006, 'images': []}]}]})
bad_manifest = mock_response(200, {'@context': 'http://iiif.io/api/presentation/2/context.json', 'label': "Sinai Arabic 352. Mimars and Lives of Saints : manuscript, 1200. St. Catherine's Monastery, Sinai, Egypt", '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest', '@type': 'sc:Manifest', 'json_mistake': [{'@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/sequence/normal', '@type': 'sc:Sequence', 'canvases': [{'@type': 'sc:Canvas', 'label': 'Front Board Outside', '@id': 'http://test-iiif.library.ucla.edu/ark%3A%2F21198%2Fz14b44n8/manifest/canvas/hm957748', 'width': 5332, 'height': 7006, 'images': []}]}]}) |
# Filenames
input_configuation_filename = "config.ini"
data_file_directory = "data"
log_file_directory = data_file_directory
status_file_directory = data_file_directory
log_file_name = "log"
database_file_name = 'cryptoData.db'
status_file_name = 'status.ini'
appNameDirectory = 'CMCLogger'
# Configuration file section and option names
API_section_name = "CMC_API"
API_option_private_key = "api_private_key"
API_option_privatate_key_default = 'your-private-key-here'
API_option_conversion_currency = 'conversion_currency'
API_option_conversion_currency_default = 'AUD'
API_option_conversion_currency_symbol = 'curreny_symbol'
API_option_conversion_currency_symbol_default = '$'
API_option_start_index = 'rank_start_index'
API_option_start_index_default = 1
API_option_end_index = 'rank_end_index'
API_option_end_index_default = 200
API_option_interval = 'request_interval'
API_option_interval_default = 5
general_section_name = "General"
general_option_status_file_format = 'status_file_format'
general_option_status_file_format_default = 'ini'
# Data output json infomration
output_json_last_call = "last_call"
output_json_health = "health"
# Coinmarketcap API information
getLatest_Url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'
getLatest_Parameters = {
'start' : 1,
'limit' : 10,
'convert' : 'AUD',
'sort' : 'market_cap'
}
getLatest_Headers = {
'Accepts' : 'application/json',
'X-CMC_PRO_API_KEY' : 'default'
}
API_call_timeout_seconds = 5
API_callRetriesOnFailure = 3
CMC_status_timestamp = 'timestamp'
CMC_status_error_code = 'error_code'
CMC_status_error_message = 'error_message'
CMC_status_elapsed = 'elapsed'
CMC_status_credit_count = 'credit_count'
CMC_data_id = "id"
CMC_data_id_type = "INTEGER"
CMC_data_name = "name"
CMC_data_name_type = "TEXT"
CMC_data_symbol = "symbol"
CMC_data_symbol_type = "TEXT"
CMC_data_slug = "slug"
CMC_data_slug_type = "TEXT"
CMC_data_cmc_rank = "cmc_rank"
CMC_data_cmc_rank_type = "INTEGER"
CMC_data_num_market_pairs = "num_market_pairs"
CMC_data_num_market_pairs_type = "INTEGER"
CMC_data_circulating_suuply = "circulating_supply"
CMC_data_circulating_suuply_type = "REAL"
CMC_data_total_supply = "total_supply"
CMC_data_total_supply_type = "REAL"
CMC_data_max_supply = "max_supply"
CMC_data_max_supply_type = "INTEGER"
CMC_data_last_updated = "last_updated"
CMC_data_last_updated_type = "INTEGER"
CMC_data_data_added = "date_added"
CMC_data_data_added_type = "INTEGER"
CMC_data_tags = "tags"
CMC_data_tags_type = "TEXT"
CMC_data_platform = "platform"
CMC_data_platform_type = "TEXT"
CMC_data_quote = "quote"
CMC_data_quote_price = "price"
CMC_data_quote_price_type = "REAL"
CMC_data_quote_volume_24h = "volume_24h"
CMC_data_quote_volume_24h_type = "REAL"
CMC_data_quote_market_cap = "market_cap"
CMC_data_quote_market_cap_type = "REAL"
CMC_data_percent_change_1h = "percent_change_1h"
CMC_data_percent_change_1h_type = "REAL"
CMC_data_percent_change_24h = "percent_change_24h"
CMC_data_percent_change_24h_type = "REAL"
CMC_data_percent_change_7d = "percent_change_7d"
CMC_data_percent_change_7d_type = "REAL"
# Status file section and option names
status_file_last_call_section_name = 'Last Successful Call'
status_file_option_timeStamp = CMC_status_timestamp
status_file_option_error_code = CMC_status_error_code
status_file_option_error_message = CMC_status_error_message
status_file_option_elapsed = CMC_status_elapsed
status_file_option_credit_count = CMC_status_credit_count
status_file_option_health = "health"
status_file_current_session_section_name = 'Current Session'
status_file_option_successful_calls = 'successful_calls'
status_file_option_failed_calls = 'failed_calls'
status_file_option_success_rate = 'success_rate'
status_file_all_time_section_name = 'All Time'
status_file_last_failed_secion_name = 'Last Failed Call'
# Data query information
data_query_type = "query_type"
data_query_type_price = "query_type_price"
data_query_type_status = "query_type_status"
data_query_tag = "query_tag"
data_query_format = "output_format"
data_query_format_stdout = "output_format_stdout"
data_query_format_json = "output_format_json"
data_query_detail = "output_detail"
data_query_detail_short = "output_detail_short"
data_query_detail_long = "output_detail_long"
| input_configuation_filename = 'config.ini'
data_file_directory = 'data'
log_file_directory = data_file_directory
status_file_directory = data_file_directory
log_file_name = 'log'
database_file_name = 'cryptoData.db'
status_file_name = 'status.ini'
app_name_directory = 'CMCLogger'
api_section_name = 'CMC_API'
api_option_private_key = 'api_private_key'
api_option_privatate_key_default = 'your-private-key-here'
api_option_conversion_currency = 'conversion_currency'
api_option_conversion_currency_default = 'AUD'
api_option_conversion_currency_symbol = 'curreny_symbol'
api_option_conversion_currency_symbol_default = '$'
api_option_start_index = 'rank_start_index'
api_option_start_index_default = 1
api_option_end_index = 'rank_end_index'
api_option_end_index_default = 200
api_option_interval = 'request_interval'
api_option_interval_default = 5
general_section_name = 'General'
general_option_status_file_format = 'status_file_format'
general_option_status_file_format_default = 'ini'
output_json_last_call = 'last_call'
output_json_health = 'health'
get_latest__url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'
get_latest__parameters = {'start': 1, 'limit': 10, 'convert': 'AUD', 'sort': 'market_cap'}
get_latest__headers = {'Accepts': 'application/json', 'X-CMC_PRO_API_KEY': 'default'}
api_call_timeout_seconds = 5
api_call_retries_on_failure = 3
cmc_status_timestamp = 'timestamp'
cmc_status_error_code = 'error_code'
cmc_status_error_message = 'error_message'
cmc_status_elapsed = 'elapsed'
cmc_status_credit_count = 'credit_count'
cmc_data_id = 'id'
cmc_data_id_type = 'INTEGER'
cmc_data_name = 'name'
cmc_data_name_type = 'TEXT'
cmc_data_symbol = 'symbol'
cmc_data_symbol_type = 'TEXT'
cmc_data_slug = 'slug'
cmc_data_slug_type = 'TEXT'
cmc_data_cmc_rank = 'cmc_rank'
cmc_data_cmc_rank_type = 'INTEGER'
cmc_data_num_market_pairs = 'num_market_pairs'
cmc_data_num_market_pairs_type = 'INTEGER'
cmc_data_circulating_suuply = 'circulating_supply'
cmc_data_circulating_suuply_type = 'REAL'
cmc_data_total_supply = 'total_supply'
cmc_data_total_supply_type = 'REAL'
cmc_data_max_supply = 'max_supply'
cmc_data_max_supply_type = 'INTEGER'
cmc_data_last_updated = 'last_updated'
cmc_data_last_updated_type = 'INTEGER'
cmc_data_data_added = 'date_added'
cmc_data_data_added_type = 'INTEGER'
cmc_data_tags = 'tags'
cmc_data_tags_type = 'TEXT'
cmc_data_platform = 'platform'
cmc_data_platform_type = 'TEXT'
cmc_data_quote = 'quote'
cmc_data_quote_price = 'price'
cmc_data_quote_price_type = 'REAL'
cmc_data_quote_volume_24h = 'volume_24h'
cmc_data_quote_volume_24h_type = 'REAL'
cmc_data_quote_market_cap = 'market_cap'
cmc_data_quote_market_cap_type = 'REAL'
cmc_data_percent_change_1h = 'percent_change_1h'
cmc_data_percent_change_1h_type = 'REAL'
cmc_data_percent_change_24h = 'percent_change_24h'
cmc_data_percent_change_24h_type = 'REAL'
cmc_data_percent_change_7d = 'percent_change_7d'
cmc_data_percent_change_7d_type = 'REAL'
status_file_last_call_section_name = 'Last Successful Call'
status_file_option_time_stamp = CMC_status_timestamp
status_file_option_error_code = CMC_status_error_code
status_file_option_error_message = CMC_status_error_message
status_file_option_elapsed = CMC_status_elapsed
status_file_option_credit_count = CMC_status_credit_count
status_file_option_health = 'health'
status_file_current_session_section_name = 'Current Session'
status_file_option_successful_calls = 'successful_calls'
status_file_option_failed_calls = 'failed_calls'
status_file_option_success_rate = 'success_rate'
status_file_all_time_section_name = 'All Time'
status_file_last_failed_secion_name = 'Last Failed Call'
data_query_type = 'query_type'
data_query_type_price = 'query_type_price'
data_query_type_status = 'query_type_status'
data_query_tag = 'query_tag'
data_query_format = 'output_format'
data_query_format_stdout = 'output_format_stdout'
data_query_format_json = 'output_format_json'
data_query_detail = 'output_detail'
data_query_detail_short = 'output_detail_short'
data_query_detail_long = 'output_detail_long' |
n, m = map(int, input().split())
l = []
for i in range(n):
line = input().split()
for x in line:
l.append(x)
s = set(l)
ans = [x for x in s if l.count(x) == n]
print(len(ans))
for x in sorted(ans):
print(x) | (n, m) = map(int, input().split())
l = []
for i in range(n):
line = input().split()
for x in line:
l.append(x)
s = set(l)
ans = [x for x in s if l.count(x) == n]
print(len(ans))
for x in sorted(ans):
print(x) |
PRACTICE = False
with open("test.txt" if PRACTICE else "input.txt", "r") as f:
content = f.read().strip()
grid = [list(row) for row in content.split("\n")]
height = len(grid)
width = len(grid[0])
move_num = 0
while True:
move_occurred = False
for i, row in enumerate(grid):
to_move_east = set()
for j, cell in enumerate(row):
if cell != ">":
continue
if row[(j + 1) % width] == ".":
to_move_east.add(j)
for j in to_move_east:
row[j], row[(j + 1) % width] = ".", ">"
move_occurred = move_occurred or len(to_move_east) > 0
for j in range(width):
to_move_south = set()
for i, row in enumerate(grid):
cell = row[j]
if cell != "v":
continue
if grid[(i + 1) % height][j] == ".":
to_move_south.add(i)
for i in to_move_south:
grid[i][j], grid[(i + 1) % height][j] = ".", "v"
move_occurred = move_occurred or len(to_move_south) > 0
move_num += 1
if not move_occurred:
break
print(move_num)
| practice = False
with open('test.txt' if PRACTICE else 'input.txt', 'r') as f:
content = f.read().strip()
grid = [list(row) for row in content.split('\n')]
height = len(grid)
width = len(grid[0])
move_num = 0
while True:
move_occurred = False
for (i, row) in enumerate(grid):
to_move_east = set()
for (j, cell) in enumerate(row):
if cell != '>':
continue
if row[(j + 1) % width] == '.':
to_move_east.add(j)
for j in to_move_east:
(row[j], row[(j + 1) % width]) = ('.', '>')
move_occurred = move_occurred or len(to_move_east) > 0
for j in range(width):
to_move_south = set()
for (i, row) in enumerate(grid):
cell = row[j]
if cell != 'v':
continue
if grid[(i + 1) % height][j] == '.':
to_move_south.add(i)
for i in to_move_south:
(grid[i][j], grid[(i + 1) % height][j]) = ('.', 'v')
move_occurred = move_occurred or len(to_move_south) > 0
move_num += 1
if not move_occurred:
break
print(move_num) |
def test_hello_world():
message = "Hello, world!"
assert message == "Hello, world!"
| def test_hello_world():
message = 'Hello, world!'
assert message == 'Hello, world!' |
# URI Online Judge 3209
N = int(input())
for n in range(N):
entrada = [int(i) for i in input().split()]
K = entrada[0]
O = entrada[1:]
saida = sum(O) - len(O) + 1
print(saida) | n = int(input())
for n in range(N):
entrada = [int(i) for i in input().split()]
k = entrada[0]
o = entrada[1:]
saida = sum(O) - len(O) + 1
print(saida) |
def menorpos(numeros):
cont = menor = pos = 0
for c, i in enumerate(numeros):
cont = cont + 1
if cont == 1:
menor = i
pos = c
else:
if i < menor:
menor = i
pos = c
return pos
v = [3, 5, 1, 30, 50, 100]
print(menorpos(v))
| def menorpos(numeros):
cont = menor = pos = 0
for (c, i) in enumerate(numeros):
cont = cont + 1
if cont == 1:
menor = i
pos = c
elif i < menor:
menor = i
pos = c
return pos
v = [3, 5, 1, 30, 50, 100]
print(menorpos(v)) |
def load(h):
return ({'bit': 0, 'on': 0, 'title': 'bit0_off'},
{'bit': 0, 'on': 1, 'title': 'bit0_on'},
{'bit': 1, 'on': 0, 'title': 'bit1_off'},
{'bit': 1, 'on': 1, 'title': 'bit1_on'},
{'bit': 2, 'on': 0, 'title': 'bit2_off'},
{'bit': 2, 'on': 1, 'title': 'bit2_on'},
{'bit': 3, 'on': 0, 'title': 'bit3_off'},
{'bit': 3, 'on': 1, 'title': 'bit3_on'},
{'bit': 4, 'on': 0, 'title': 'bit4_off'},
{'bit': 4, 'on': 1, 'title': 'bit4_on'},
{'bit': 5, 'on': 0, 'title': 'bit5_off'},
{'bit': 5, 'on': 1, 'title': 'bit5_on'},
{'bit': 6, 'on': 0, 'title': 'bit6_off'},
{'bit': 6, 'on': 1, 'title': 'bit6_on'},
{'bit': 7, 'on': 0, 'title': 'absent'},
{'bit': 7, 'on': 1, 'title': 'present'})
| def load(h):
return ({'bit': 0, 'on': 0, 'title': 'bit0_off'}, {'bit': 0, 'on': 1, 'title': 'bit0_on'}, {'bit': 1, 'on': 0, 'title': 'bit1_off'}, {'bit': 1, 'on': 1, 'title': 'bit1_on'}, {'bit': 2, 'on': 0, 'title': 'bit2_off'}, {'bit': 2, 'on': 1, 'title': 'bit2_on'}, {'bit': 3, 'on': 0, 'title': 'bit3_off'}, {'bit': 3, 'on': 1, 'title': 'bit3_on'}, {'bit': 4, 'on': 0, 'title': 'bit4_off'}, {'bit': 4, 'on': 1, 'title': 'bit4_on'}, {'bit': 5, 'on': 0, 'title': 'bit5_off'}, {'bit': 5, 'on': 1, 'title': 'bit5_on'}, {'bit': 6, 'on': 0, 'title': 'bit6_off'}, {'bit': 6, 'on': 1, 'title': 'bit6_on'}, {'bit': 7, 'on': 0, 'title': 'absent'}, {'bit': 7, 'on': 1, 'title': 'present'}) |
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def addTwoNumbers(self, l1: ListNode, l2: ListNode) -> ListNode:
def get_number(head):
number = 0
while head:
number = number * 10 + head.val
head = head.next
return number
def reverse_list(node):
prev = None
cur = node
next_ = node.next
while cur:
cur.next = prev
prev = cur
cur = next_
if next_:
next_ = next_.next
return prev
first_number = get_number(l1)
second_number = get_number(l2)
sum_ = first_number + second_number
dummy = head = ListNode(0)
if sum_ == 0:
return dummy
while sum_:
digit = sum_ % 10
sum_ = sum_ // 10
head.next = ListNode(digit)
head = head.next
return reverse_list(dummy.next)
| class Solution:
def add_two_numbers(self, l1: ListNode, l2: ListNode) -> ListNode:
def get_number(head):
number = 0
while head:
number = number * 10 + head.val
head = head.next
return number
def reverse_list(node):
prev = None
cur = node
next_ = node.next
while cur:
cur.next = prev
prev = cur
cur = next_
if next_:
next_ = next_.next
return prev
first_number = get_number(l1)
second_number = get_number(l2)
sum_ = first_number + second_number
dummy = head = list_node(0)
if sum_ == 0:
return dummy
while sum_:
digit = sum_ % 10
sum_ = sum_ // 10
head.next = list_node(digit)
head = head.next
return reverse_list(dummy.next) |
# To input 10 random numbers & find how many of them are even and odd
print("============You have to enter 10 random numbers===================")
even = 0
odd = 0
for i in range(1,11):
num = int(input("Enter the number: "))
if(num%2==0):
even = even + 1
else:
odd = odd + 1
print("Total even no. = ",even)
print("Total odd no. = ",odd)
| print('============You have to enter 10 random numbers===================')
even = 0
odd = 0
for i in range(1, 11):
num = int(input('Enter the number: '))
if num % 2 == 0:
even = even + 1
else:
odd = odd + 1
print('Total even no. = ', even)
print('Total odd no. = ', odd) |
def CheckingNeededVars(list_vars):
#for var in list_vars:
# if var is None:
# print 'Variable Needed'
pass
| def checking_needed_vars(list_vars):
pass |
"""Top-level package for gitown."""
__author__ = """Milind Shakya"""
__email__ = 'sh.milind@gmail.com'
__version__ = '0.1.0'
| """Top-level package for gitown."""
__author__ = 'Milind Shakya'
__email__ = 'sh.milind@gmail.com'
__version__ = '0.1.0' |
# -*- coding: utf-8 -*-
class HelperSet(object):
def __init__(self, helpers=None):
helpers = helpers or []
self.__helpers = {}
self.__command = None
if isinstance(helpers, (list, tuple)):
for helper in helpers:
self.set(helper, None)
else:
for alias, helper in helpers.items():
self.set(helper, None if isinstance(alias, int) else alias)
def set(self, helper, alias=None):
self.__helpers[helper.get_name()] = helper
if alias is not None:
self.__helpers[alias] = helper
helper.set_helper_set(self)
def has(self, name):
return name in self.__helpers
def get(self, name):
if not self.has(name):
raise Exception('The helper "%s" is not defined.' % name)
return self.__helpers[name]
def set_command(self, command):
self.__command = command
def get_command(self):
return self.__command
| class Helperset(object):
def __init__(self, helpers=None):
helpers = helpers or []
self.__helpers = {}
self.__command = None
if isinstance(helpers, (list, tuple)):
for helper in helpers:
self.set(helper, None)
else:
for (alias, helper) in helpers.items():
self.set(helper, None if isinstance(alias, int) else alias)
def set(self, helper, alias=None):
self.__helpers[helper.get_name()] = helper
if alias is not None:
self.__helpers[alias] = helper
helper.set_helper_set(self)
def has(self, name):
return name in self.__helpers
def get(self, name):
if not self.has(name):
raise exception('The helper "%s" is not defined.' % name)
return self.__helpers[name]
def set_command(self, command):
self.__command = command
def get_command(self):
return self.__command |
db_dir = 'financial_db'
db_tables = [ '''security ( ticker TEXT PRIMARY KEY,
company INT,
exchange INT,
currency TEXT
)''',
'''exchange ( acronym TEXT PRIMARY KEY,
name TEXT,
time_zone TEXT,
FOREIGN KEY (acronym) REFERENCES security(exchange)
)''',
'''company ( name TEXT PRIMARY KEY,
sector TEXT,
industry TEXT,
country TEXT,
market TEXT,
employees INT,
website TEXT,
FOREIGN KEY (name) REFERENCES security(company)
)''', # not sure if market is correct here
'''security_price ( security_ticker INT,
date TEXT,
open REAL,
high REAL,
low REAL,
close REAL,
volume INT,
adj_close REAL,
CONSTRAINT price_daily_ticker PRIMARY KEY (security_ticker,date),
FOREIGN KEY (security_ticker) REFERENCES security(ticker)
)''',
'''security_price_intraday ( security_ticker INT,
time TEXT,
open REAL,
high REAL,
low REAL,
close REAL,
volume INT,
adj_close REAL,
CONSTRAINT price_time_ticker PRIMARY KEY (security_ticker,time),
FOREIGN KEY (security_ticker) REFERENCES security(ticker)
)''',
'''stock_adjustment ( security_ticker INT,
date TEXT,
CONSTRAINT adj_time_ticker PRIMARY KEY (security_ticker,date),
FOREIGN KEY (security_ticker) REFERENCES security(ticker)
)''' # missing some info.
]
db_tickers = ['MSFT', 'AAPL', 'HUT', 'HUT.TO', 'SPY', 'CADUSD=X', 'BTC-USD', 'ETH-USD', 'ETHX-U.TO']
| db_dir = 'financial_db'
db_tables = ['security ( ticker TEXT PRIMARY KEY,\n company INT,\n exchange INT,\n currency TEXT\n )', 'exchange ( acronym TEXT PRIMARY KEY,\n name TEXT,\n time_zone TEXT,\n FOREIGN KEY (acronym) REFERENCES security(exchange)\n )', 'company ( name TEXT PRIMARY KEY,\n sector TEXT,\n industry TEXT,\n country TEXT,\n market TEXT,\n employees INT,\n website TEXT,\n FOREIGN KEY (name) REFERENCES security(company)\n )', 'security_price ( security_ticker INT,\n date TEXT,\n open REAL,\n high REAL,\n low REAL,\n close REAL,\n volume INT,\n adj_close REAL,\n CONSTRAINT price_daily_ticker PRIMARY KEY (security_ticker,date),\n FOREIGN KEY (security_ticker) REFERENCES security(ticker)\n )', 'security_price_intraday ( security_ticker INT,\n time TEXT,\n open REAL,\n high REAL,\n low REAL,\n close REAL,\n volume INT,\n adj_close REAL,\n CONSTRAINT price_time_ticker PRIMARY KEY (security_ticker,time),\n FOREIGN KEY (security_ticker) REFERENCES security(ticker)\n )', 'stock_adjustment ( security_ticker INT,\n date TEXT,\n CONSTRAINT adj_time_ticker PRIMARY KEY (security_ticker,date),\n FOREIGN KEY (security_ticker) REFERENCES security(ticker)\n )']
db_tickers = ['MSFT', 'AAPL', 'HUT', 'HUT.TO', 'SPY', 'CADUSD=X', 'BTC-USD', 'ETH-USD', 'ETHX-U.TO'] |
# -*- coding: utf-8 -*-
"""Top-level package for Pretty upper."""
__author__ = """Nick Mavrakis"""
__email__ = 'mavrakis.n@gmail.com'
__version__ = '0.3.1'
| """Top-level package for Pretty upper."""
__author__ = 'Nick Mavrakis'
__email__ = 'mavrakis.n@gmail.com'
__version__ = '0.3.1' |
nums = int(input("Enter range :"))
def getfectnum(nums):
for i in range(1, nums+1):
sumdiv = 0
for a in findalldivs(i):
sumdiv = a + sumdiv
if sumdiv == i:
print(i)
def findalldivs(num):
ls = list()
for x in range(1,num):
if num % x == 0:
ls.append(x)
return (ls)
getfectnum(nums)
| nums = int(input('Enter range :'))
def getfectnum(nums):
for i in range(1, nums + 1):
sumdiv = 0
for a in findalldivs(i):
sumdiv = a + sumdiv
if sumdiv == i:
print(i)
def findalldivs(num):
ls = list()
for x in range(1, num):
if num % x == 0:
ls.append(x)
return ls
getfectnum(nums) |
def merge_sort(nums):
if len(nums) <= 1:
return nums
mid = (0 + len(nums)) // 2
left = merge_sort(nums[:mid])
right = merge_sort(nums[mid:])
return merge_iterative(left, right)
def merge_iterative(nums1, nums2):
if nums1 == []:
return nums2
if nums2 == []:
return nums1
i = 0 # for nums1
j = 0 # for nums2
res = []
while i < len(nums1) and j < len(nums2):
if nums1[i] < nums2[j]:
res.append(nums1[i])
i += 1
else:
res.append(nums2[j])
j += 1
if i < len(nums1):
res += nums1[i:]
else:
res += nums2[j:]
return res
def merge(nums1, nums2):
if nums1 == []:
return nums2
if nums2 == []:
return nums1
if nums1[0] < nums2[0]:
return [nums1[0]] + merge(nums1[1:], nums2)
else:
return [nums2[0]] + merge(nums1, nums2[1:])
if __name__ == "__main__":
test = [99, -18, -1, 90, 98, 6]
print(merge_sort(test))
| def merge_sort(nums):
if len(nums) <= 1:
return nums
mid = (0 + len(nums)) // 2
left = merge_sort(nums[:mid])
right = merge_sort(nums[mid:])
return merge_iterative(left, right)
def merge_iterative(nums1, nums2):
if nums1 == []:
return nums2
if nums2 == []:
return nums1
i = 0
j = 0
res = []
while i < len(nums1) and j < len(nums2):
if nums1[i] < nums2[j]:
res.append(nums1[i])
i += 1
else:
res.append(nums2[j])
j += 1
if i < len(nums1):
res += nums1[i:]
else:
res += nums2[j:]
return res
def merge(nums1, nums2):
if nums1 == []:
return nums2
if nums2 == []:
return nums1
if nums1[0] < nums2[0]:
return [nums1[0]] + merge(nums1[1:], nums2)
else:
return [nums2[0]] + merge(nums1, nums2[1:])
if __name__ == '__main__':
test = [99, -18, -1, 90, 98, 6]
print(merge_sort(test)) |
"""
Paint House
https://leetcode.com/problems/paint-house/
There is a row of n houses, where each house can be painted one of three colors: red, blue, or green. The cost of painting each house with a certain color is different. You have to paint all the houses such that no two adjacent houses have the same color.
The cost of painting each house with a certain color is represented by an n x 3 cost matrix costs.
For example, costs[0][0] is the cost of painting house 0 with the color red; costs[1][2] is the cost of painting house 1 with color green, and so on...
Return the minimum cost to paint all houses.
Example 1:
Input: costs = [[17,2,17],[16,16,5],[14,3,19]]
Output: 10
Explanation: Paint house 0 into blue, paint house 1 into green, paint house 2 into blue.
Minimum cost: 2 + 5 + 3 = 10.
Example 2:
Input: costs = [[7,6,2]]
Output: 2
Constraints:
costs.length == n
costs[i].length == 3
1 <= n <= 100
1 <= costs[i][j] <= 20
"""
class Solution:
def minCost(self, costs: List[List[int]]) -> int:
prev = [0] * 3
for now in costs:
prev = [now[i] + min(prev[:i] + prev[i + 1:]) for i in range(3)]
return min(prev)
class Solution2:
def minCost(self, costs: List[List[int]]) -> int:
n = len(costs)
k = len(costs[0])
prev_row = costs[0]
for house in range(1, n):
cur_row = [0] * k
for cur_color in range(k):
prev_best = math.inf
for prev_color in range(k):
if cur_color == prev_color:
continue
prev_best = min(prev_best, prev_row[prev_color])
cur_row[cur_color] += prev_best + costs[house][cur_color]
prev_row = cur_row
return min(prev_row) | """
Paint House
https://leetcode.com/problems/paint-house/
There is a row of n houses, where each house can be painted one of three colors: red, blue, or green. The cost of painting each house with a certain color is different. You have to paint all the houses such that no two adjacent houses have the same color.
The cost of painting each house with a certain color is represented by an n x 3 cost matrix costs.
For example, costs[0][0] is the cost of painting house 0 with the color red; costs[1][2] is the cost of painting house 1 with color green, and so on...
Return the minimum cost to paint all houses.
Example 1:
Input: costs = [[17,2,17],[16,16,5],[14,3,19]]
Output: 10
Explanation: Paint house 0 into blue, paint house 1 into green, paint house 2 into blue.
Minimum cost: 2 + 5 + 3 = 10.
Example 2:
Input: costs = [[7,6,2]]
Output: 2
Constraints:
costs.length == n
costs[i].length == 3
1 <= n <= 100
1 <= costs[i][j] <= 20
"""
class Solution:
def min_cost(self, costs: List[List[int]]) -> int:
prev = [0] * 3
for now in costs:
prev = [now[i] + min(prev[:i] + prev[i + 1:]) for i in range(3)]
return min(prev)
class Solution2:
def min_cost(self, costs: List[List[int]]) -> int:
n = len(costs)
k = len(costs[0])
prev_row = costs[0]
for house in range(1, n):
cur_row = [0] * k
for cur_color in range(k):
prev_best = math.inf
for prev_color in range(k):
if cur_color == prev_color:
continue
prev_best = min(prev_best, prev_row[prev_color])
cur_row[cur_color] += prev_best + costs[house][cur_color]
prev_row = cur_row
return min(prev_row) |
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Full license terms provided in LICENSE.md file.
CHECKPOINT_DIR = 'data/checkpoints/'
FROZEN_GRAPHS_DIR = 'data/frozen_graphs/'
UFF_DIR = 'data/uff/'
NETS = {
'vgg_16': {
'num_classes': 1000,
'input_name': 'input',
'output_names': ['vgg_16/fc8/BiasAdd'],
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'preprocess_fn': 'preprocess_vgg',
'checkpoint_filename': CHECKPOINT_DIR + 'vgg_16.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'vgg_16.pb',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'vgg_16.uff'
},
'vgg_19': {
'num_classes': 1000,
'input_name': 'input',
'output_names': ['vgg_19/fc8/BiasAdd'],
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'preprocess_fn': 'preprocess_vgg',
'checkpoint_filename': CHECKPOINT_DIR + 'vgg_19.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'vgg_19.pb',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'vgg_19.uff'
},
'inception_v1': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['InceptionV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v1.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v1.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_v1.uff'
},
'inception_v2': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['InceptionV2/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v2.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v2.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "bad results",
'uff_filename': UFF_DIR + 'inception_v2.uff'
},
'inception_v3': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['InceptionV3/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v3.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v3.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_v3.uff'
},
'inception_v4': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['InceptionV4/Logits/Logits/BiasAdd'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v4.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v4.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_v4.uff'
},
'inception_resnet_v2': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['InceptionResnetV2/Logits/Logits/BiasAdd'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_resnet_v2_2016_08_30.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_resnet_v2.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_resnet_v2.uff'
},
'resnet_v1_50': {
'num_classes': 1000,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['resnet_v1_50/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_50.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_50.pb',
'preprocess_fn': 'preprocess_vgg',
'uff_filename': UFF_DIR + 'resnet_v1_50.uff'
},
'resnet_v1_101': {
'num_classes': 1000,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['resnet_v1_101/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_101.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_101.pb',
'preprocess_fn': 'preprocess_vgg',
'uff_filename': UFF_DIR + 'resnet_v1_101.uff'
},
'resnet_v1_152': {
'num_classes': 1000,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['resnet_v1_152/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_152.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_152.pb',
'preprocess_fn': 'preprocess_vgg',
'uff_filename': UFF_DIR + 'resnet_v1_152.uff'
},
'resnet_v2_50': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['resnet_v2_50/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_50.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_50.pb',
'preprocess_fn': 'preprocess_inception',
'uff_filename': UFF_DIR + 'resnet_v2_50.uff'
},
'resnet_v2_101': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['resnet_v2_101/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_101.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_101.pb',
'preprocess_fn': 'preprocess_inception',
'uff_filename': UFF_DIR + 'resnet_v2_101.uff'
},
'resnet_v2_152': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['resnet_v2_152/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_152.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_152.pb',
'preprocess_fn': 'preprocess_inception',
'uff_filename': UFF_DIR + 'resnet_v2_152.uff'
},
#'resnet_v2_200': {
#},
'mobilenet_v1_1p0_224': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['MobilenetV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR +
'mobilenet_v1_1.0_224.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_1p0_224.pb',
'uff_filename': UFF_DIR + 'mobilenet_v1_1p0_224.uff',
'preprocess_fn': 'preprocess_inception',
},
'mobilenet_v1_0p5_160': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 160,
'input_height': 160,
'input_channels': 3,
'output_names': ['MobilenetV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR +
'mobilenet_v1_0.50_160.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_0p5_160.pb',
'uff_filename': UFF_DIR + 'mobilenet_v1_0p5_160.uff',
'preprocess_fn': 'preprocess_inception',
},
'mobilenet_v1_0p25_128': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 128,
'input_height': 128,
'input_channels': 3,
'output_names': ['MobilenetV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR +
'mobilenet_v1_0.25_128.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_0p25_128.pb',
'uff_filename': UFF_DIR + 'mobilenet_v1_0p25_128.uff',
'preprocess_fn': 'preprocess_inception',
},
}
| checkpoint_dir = 'data/checkpoints/'
frozen_graphs_dir = 'data/frozen_graphs/'
uff_dir = 'data/uff/'
nets = {'vgg_16': {'num_classes': 1000, 'input_name': 'input', 'output_names': ['vgg_16/fc8/BiasAdd'], 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'preprocess_fn': 'preprocess_vgg', 'checkpoint_filename': CHECKPOINT_DIR + 'vgg_16.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'vgg_16.pb', 'trt_convert_status': 'works', 'uff_filename': UFF_DIR + 'vgg_16.uff'}, 'vgg_19': {'num_classes': 1000, 'input_name': 'input', 'output_names': ['vgg_19/fc8/BiasAdd'], 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'preprocess_fn': 'preprocess_vgg', 'checkpoint_filename': CHECKPOINT_DIR + 'vgg_19.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'vgg_19.pb', 'trt_convert_status': 'works', 'uff_filename': UFF_DIR + 'vgg_19.uff'}, 'inception_v1': {'num_classes': 1001, 'input_name': 'input', 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'output_names': ['InceptionV1/Logits/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'inception_v1.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v1.pb', 'preprocess_fn': 'preprocess_inception', 'trt_convert_status': 'works', 'uff_filename': UFF_DIR + 'inception_v1.uff'}, 'inception_v2': {'num_classes': 1001, 'input_name': 'input', 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'output_names': ['InceptionV2/Logits/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'inception_v2.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v2.pb', 'preprocess_fn': 'preprocess_inception', 'trt_convert_status': 'bad results', 'uff_filename': UFF_DIR + 'inception_v2.uff'}, 'inception_v3': {'num_classes': 1001, 'input_name': 'input', 'input_width': 299, 'input_height': 299, 'input_channels': 3, 'output_names': ['InceptionV3/Logits/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'inception_v3.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v3.pb', 'preprocess_fn': 'preprocess_inception', 'trt_convert_status': 'works', 'uff_filename': UFF_DIR + 'inception_v3.uff'}, 'inception_v4': {'num_classes': 1001, 'input_name': 'input', 'input_width': 299, 'input_height': 299, 'input_channels': 3, 'output_names': ['InceptionV4/Logits/Logits/BiasAdd'], 'checkpoint_filename': CHECKPOINT_DIR + 'inception_v4.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v4.pb', 'preprocess_fn': 'preprocess_inception', 'trt_convert_status': 'works', 'uff_filename': UFF_DIR + 'inception_v4.uff'}, 'inception_resnet_v2': {'num_classes': 1001, 'input_name': 'input', 'input_width': 299, 'input_height': 299, 'input_channels': 3, 'output_names': ['InceptionResnetV2/Logits/Logits/BiasAdd'], 'checkpoint_filename': CHECKPOINT_DIR + 'inception_resnet_v2_2016_08_30.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_resnet_v2.pb', 'preprocess_fn': 'preprocess_inception', 'trt_convert_status': 'works', 'uff_filename': UFF_DIR + 'inception_resnet_v2.uff'}, 'resnet_v1_50': {'num_classes': 1000, 'input_name': 'input', 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'output_names': ['resnet_v1_50/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_50.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_50.pb', 'preprocess_fn': 'preprocess_vgg', 'uff_filename': UFF_DIR + 'resnet_v1_50.uff'}, 'resnet_v1_101': {'num_classes': 1000, 'input_name': 'input', 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'output_names': ['resnet_v1_101/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_101.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_101.pb', 'preprocess_fn': 'preprocess_vgg', 'uff_filename': UFF_DIR + 'resnet_v1_101.uff'}, 'resnet_v1_152': {'num_classes': 1000, 'input_name': 'input', 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'output_names': ['resnet_v1_152/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_152.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_152.pb', 'preprocess_fn': 'preprocess_vgg', 'uff_filename': UFF_DIR + 'resnet_v1_152.uff'}, 'resnet_v2_50': {'num_classes': 1001, 'input_name': 'input', 'input_width': 299, 'input_height': 299, 'input_channels': 3, 'output_names': ['resnet_v2_50/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_50.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_50.pb', 'preprocess_fn': 'preprocess_inception', 'uff_filename': UFF_DIR + 'resnet_v2_50.uff'}, 'resnet_v2_101': {'num_classes': 1001, 'input_name': 'input', 'input_width': 299, 'input_height': 299, 'input_channels': 3, 'output_names': ['resnet_v2_101/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_101.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_101.pb', 'preprocess_fn': 'preprocess_inception', 'uff_filename': UFF_DIR + 'resnet_v2_101.uff'}, 'resnet_v2_152': {'num_classes': 1001, 'input_name': 'input', 'input_width': 299, 'input_height': 299, 'input_channels': 3, 'output_names': ['resnet_v2_152/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_152.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_152.pb', 'preprocess_fn': 'preprocess_inception', 'uff_filename': UFF_DIR + 'resnet_v2_152.uff'}, 'mobilenet_v1_1p0_224': {'num_classes': 1001, 'input_name': 'input', 'input_width': 224, 'input_height': 224, 'input_channels': 3, 'output_names': ['MobilenetV1/Logits/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'mobilenet_v1_1.0_224.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_1p0_224.pb', 'uff_filename': UFF_DIR + 'mobilenet_v1_1p0_224.uff', 'preprocess_fn': 'preprocess_inception'}, 'mobilenet_v1_0p5_160': {'num_classes': 1001, 'input_name': 'input', 'input_width': 160, 'input_height': 160, 'input_channels': 3, 'output_names': ['MobilenetV1/Logits/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'mobilenet_v1_0.50_160.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_0p5_160.pb', 'uff_filename': UFF_DIR + 'mobilenet_v1_0p5_160.uff', 'preprocess_fn': 'preprocess_inception'}, 'mobilenet_v1_0p25_128': {'num_classes': 1001, 'input_name': 'input', 'input_width': 128, 'input_height': 128, 'input_channels': 3, 'output_names': ['MobilenetV1/Logits/SpatialSqueeze'], 'checkpoint_filename': CHECKPOINT_DIR + 'mobilenet_v1_0.25_128.ckpt', 'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_0p25_128.pb', 'uff_filename': UFF_DIR + 'mobilenet_v1_0p25_128.uff', 'preprocess_fn': 'preprocess_inception'}} |
'''
Created on 27 Oct 2018
@author: vahanoi
'''
class Player:
'''
classdocs
'''
# TODO: create object Player with all details
def __init__(self, name, emailaddress):
'''
Constructor
'''
age=0
return(None)
| """
Created on 27 Oct 2018
@author: vahanoi
"""
class Player:
"""
classdocs
"""
def __init__(self, name, emailaddress):
"""
Constructor
"""
age = 0
return None |
class Zillion:
def __init__(self,digits):
self.digits = digits
self.List = []
self.toList()
def toList(self):
badBoolean=False #Kludge
if len(self.digits) == 0 :
raise RuntimeError #Cannot make a list of nothing
for n in range (0,len(self.digits)):
if self.digits[n] is not ',':
if self.digits[n] is not ' ':
try:
self.List+=[int(self.digits[n])]
badBoolean=True
except ValueError: #Non-comma character in string
raise RuntimeError
if badBoolean is False: #No numbers in string
raise RuntimeError
else:
return self.List
def increment(self):
length = len(self.List) - 1
newList = self.List
newList[length] += 1
if newList[length]>=10: #Loop to increment all 10s to 0s with carry
for n in range (0,length):
newList[length-n]=0
newList[length-n-1]+=1
def isZero(self):
for p in range (0,len(self.List)-1):
if self.List[p] is not 0:
return False
return True
def toString(self):
string=''
for q in range (0,len(self.List)):
string+=str(self.List[q]) #Make string by concatenation
return string
#
# TESTS. Test the class Zillion for CSci 1913 Lab 2.
#
# James Moen
# 18 Sep 17
#
# Every test is followed by a comment which shows what must be printed if your
# code works correctly. It also shows how many points the test is worth.
#
try:
z = Zillion('')
except RuntimeError:
print('Empty string')
# It must print 'Empty string' without apostrophes. 2 points.
try:
z = Zillion(' , ')
except RuntimeError:
print('No digits in the string')
# It must print 'No digits in the string' without apostrophes. 2 points.
try:
z = Zillion('1+0')
except RuntimeError:
print('Non-digit in the string')
# It must print 'Non-digit in the string' without apostrophes. 2 points.
try:
z = Zillion('0')
except RuntimeError:
print('This must not be printed')
# It must print nothing. 2 points.
print(z.isZero()) # It must print True. 2 points.
try:
z = Zillion('000000000')
except RuntimeError:
print('This must not be printed')
# It must print nothing. 2 points.
print(z.isZero()) # It must print True. 2 points.
try:
z = Zillion('000 000 000')
except RuntimeError:
print('This must not be printed')
# It must print nothing. 2 points.
print(z.isZero()) # It must print True. 2 points.
try:
z = Zillion('997')
except RuntimeError:
print('This must not be printed')
# It must print nothing. 2 points.
print(z.isZero()) # It must print False. 2 points.
print(z.toString()) # It must print 997. 2 points.
z.increment()
print(z.toString()) # It must print 998. 2 points.
z.increment()
print(z.toString()) # It must print 999. 2 points.
z.increment()
print(z.toString()) # It must print 1000. 2 points.
try:
z = Zillion('0 9,9 9')
except:
print('This must not be printed')
# It must print nothing. 3 points.
z.increment()
print(z.toString()) # It must print 1000. 2 points.
| class Zillion:
def __init__(self, digits):
self.digits = digits
self.List = []
self.toList()
def to_list(self):
bad_boolean = False
if len(self.digits) == 0:
raise RuntimeError
for n in range(0, len(self.digits)):
if self.digits[n] is not ',':
if self.digits[n] is not ' ':
try:
self.List += [int(self.digits[n])]
bad_boolean = True
except ValueError:
raise RuntimeError
if badBoolean is False:
raise RuntimeError
else:
return self.List
def increment(self):
length = len(self.List) - 1
new_list = self.List
newList[length] += 1
if newList[length] >= 10:
for n in range(0, length):
newList[length - n] = 0
newList[length - n - 1] += 1
def is_zero(self):
for p in range(0, len(self.List) - 1):
if self.List[p] is not 0:
return False
return True
def to_string(self):
string = ''
for q in range(0, len(self.List)):
string += str(self.List[q])
return string
try:
z = zillion('')
except RuntimeError:
print('Empty string')
try:
z = zillion(' , ')
except RuntimeError:
print('No digits in the string')
try:
z = zillion('1+0')
except RuntimeError:
print('Non-digit in the string')
try:
z = zillion('0')
except RuntimeError:
print('This must not be printed')
print(z.isZero())
try:
z = zillion('000000000')
except RuntimeError:
print('This must not be printed')
print(z.isZero())
try:
z = zillion('000 000 000')
except RuntimeError:
print('This must not be printed')
print(z.isZero())
try:
z = zillion('997')
except RuntimeError:
print('This must not be printed')
print(z.isZero())
print(z.toString())
z.increment()
print(z.toString())
z.increment()
print(z.toString())
z.increment()
print(z.toString())
try:
z = zillion('0 9,9 9')
except:
print('This must not be printed')
z.increment()
print(z.toString()) |
MAX_NUMBER_ONE_CLASS = 2
MAX_WIDTH = 200
CPU_CORE = 8
RANSAC_THRESHOLD = 5.0 | max_number_one_class = 2
max_width = 200
cpu_core = 8
ransac_threshold = 5.0 |
def getarea(XYZ):
# prism is A,B,C
# X=A+B Y=B+C Z=A+C
X,Y,Z = XYZ
#A=2(wl+hl+hw)
A = ((X+Z)-Y)/2
B = ((X+Y)-Z)/2
C = ((Y+Z)-X)/2
return 2*(A*B+C*B+C*A)
if __name__ == "__main__":
for tc in xrange(int(raw_input())):
print("%.2f" % round(getarea(map(float,raw_input().split())),2))
| def getarea(XYZ):
(x, y, z) = XYZ
a = (X + Z - Y) / 2
b = (X + Y - Z) / 2
c = (Y + Z - X) / 2
return 2 * (A * B + C * B + C * A)
if __name__ == '__main__':
for tc in xrange(int(raw_input())):
print('%.2f' % round(getarea(map(float, raw_input().split())), 2)) |
"""
Flatten List from nested list
__author__ = Pavan Maradia
__version__ = v1.0
"""
class ListFlatten(object):
"""
Flat Nested list in single list
"""
def __init__(self):
"""
Initialize class object
"""
self.resp_list = list()
self.response = dict()
def controller(self, requested_list):
"""
Control the flow of flatten list
:param requested_list: original nested list
:return:
"""
if isinstance(requested_list, list):
self.response = {
'status': True,
'message': self.flat_list(requested_list)
}
else:
self.response = {
'status': False,
'message': 'Requested collection is not List'
}
return self.response
def flat_list(self, sub_list):
"""
Flat sub list
:param sub_list: list
:return:
"""
_list = list()
for element in sub_list:
if isinstance(element, list):
_list += self.flat_list(element)
else:
_list.append(element)
return _list
| """
Flatten List from nested list
__author__ = Pavan Maradia
__version__ = v1.0
"""
class Listflatten(object):
"""
Flat Nested list in single list
"""
def __init__(self):
"""
Initialize class object
"""
self.resp_list = list()
self.response = dict()
def controller(self, requested_list):
"""
Control the flow of flatten list
:param requested_list: original nested list
:return:
"""
if isinstance(requested_list, list):
self.response = {'status': True, 'message': self.flat_list(requested_list)}
else:
self.response = {'status': False, 'message': 'Requested collection is not List'}
return self.response
def flat_list(self, sub_list):
"""
Flat sub list
:param sub_list: list
:return:
"""
_list = list()
for element in sub_list:
if isinstance(element, list):
_list += self.flat_list(element)
else:
_list.append(element)
return _list |
NPC_IDS = [
3,
6,
30,
36,
38,
40,
43,
46,
48,
54,
60,
61,
66,
68,
69,
74,
78,
79,
80,
92,
94,
95,
97,
98,
99,
100,
103,
113,
114,
115,
116,
117,
118,
121,
122,
123,
124,
125,
126,
127,
151,
152,
154,
157,
167,
171,
190,
193,
196,
197,
198,
199,
202,
203,
205,
206,
210,
212,
213,
215,
217,
218,
222,
223,
225,
226,
227,
228,
232,
233,
234,
235,
237,
238,
239,
240,
241,
244,
246,
247,
248,
250,
251,
252,
253,
255,
257,
258,
261,
263,
264,
265,
266,
267,
268,
269,
270,
271,
272,
273,
274,
275,
276,
277,
278,
279,
285,
288,
289,
294,
295,
297,
299,
300,
302,
311,
313,
315,
325,
327,
328,
330,
331,
332,
334,
335,
338,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
372,
374,
375,
376,
377,
379,
381,
382,
383,
384,
385,
390,
391,
392,
395,
397,
415,
422,
423,
424,
426,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
440,
441,
442,
445,
446,
448,
449,
452,
453,
454,
456,
458,
459,
460,
461,
462,
464,
465,
466,
467,
468,
469,
471,
472,
473,
474,
475,
476,
478,
480,
481,
482,
483,
485,
486,
487,
488,
489,
490,
491,
494,
495,
499,
500,
501,
502,
503,
504,
505,
506,
507,
511,
513,
514,
515,
517,
518,
519,
520,
521,
522,
523,
524,
525,
531,
533,
534,
539,
543,
544,
545,
547,
548,
550,
565,
568,
569,
570,
572,
573,
574,
576,
578,
579,
580,
582,
584,
587,
588,
589,
590,
594,
595,
596,
597,
598,
599,
604,
615,
616,
619,
620,
622,
623,
624,
625,
626,
628,
633,
634,
636,
639,
641,
642,
644,
645,
646,
647,
656,
657,
658,
660,
661,
663,
664,
667,
669,
670,
671,
672,
674,
675,
676,
677,
678,
679,
680,
681,
682,
683,
684,
685,
686,
687,
688,
689,
690,
691,
694,
696,
697,
698,
699,
701,
702,
703,
704,
705,
706,
707,
708,
709,
710,
711,
712,
713,
714,
715,
716,
717,
718,
721,
723,
724,
727,
728,
729,
730,
731,
732,
733,
734,
735,
736,
737,
738,
739,
740,
741,
742,
743,
744,
745,
746,
747,
750,
751,
752,
754,
755,
756,
757,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
770,
771,
772,
773,
777,
780,
781,
782,
783,
784,
785,
786,
787,
789,
790,
791,
793,
794,
795,
796,
797,
798,
799,
800,
801,
802,
804,
805,
806,
807,
808,
810,
811,
812,
813,
814,
818,
819,
820,
821,
822,
823,
824,
826,
827,
828,
829,
830,
831,
832,
833,
834,
836,
837,
840,
842,
843,
844,
846,
847,
848,
849,
850,
851,
853,
854,
855,
856,
857,
858,
859,
861,
862,
863,
864,
865,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
883,
885,
886,
887,
888,
889,
890,
891,
892,
893,
894,
895,
896,
898,
900,
903,
905,
906,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
920,
921,
922,
923,
925,
926,
927,
928,
930,
931,
932,
933,
934,
935,
936,
937,
938,
939,
940,
941,
942,
943,
944,
945,
946,
947,
948,
949,
950,
951,
952,
954,
955,
956,
957,
958,
959,
960,
963,
976,
977,
978,
979,
980,
981,
982,
983,
984,
985,
986,
987,
988,
989,
999,
1007,
1008,
1009,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1018,
1019,
1020,
1021,
1022,
1023,
1024,
1025,
1026,
1027,
1028,
1029,
1030,
1031,
1032,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1040,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1053,
1054,
1057,
1059,
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17804, 18199] |
"""
A variety of functions for converting to and from camelCase and snake_case.
"""
def snake_to_camel_case(string):
words = [word.capitalize() for word in string.split("_")]
words[0] = words[0].lower()
return "".join(words)
def camel_to_snake_case(string):
words = []
start_index = 0
for index, c in enumerate(string):
# Ignore the first character regardless of case
if c.isupper() and index:
words.append(string[start_index:index].lower())
start_index = index
words.append(string[start_index:].lower())
return "_".join(words)
def camel_case_dict(data, remove=False):
for key in list(data.keys()):
if key.find("_") > 0:
data[snake_to_camel_case(key)] = data[key]
if remove:
del data[key]
return data
def snake_case_dict(data, remove=False):
for key in list(data.keys()):
sc_key = camel_to_snake_case(key)
if sc_key != key:
data[sc_key] = data[key]
if remove:
del data[key]
return data
| """
A variety of functions for converting to and from camelCase and snake_case.
"""
def snake_to_camel_case(string):
words = [word.capitalize() for word in string.split('_')]
words[0] = words[0].lower()
return ''.join(words)
def camel_to_snake_case(string):
words = []
start_index = 0
for (index, c) in enumerate(string):
if c.isupper() and index:
words.append(string[start_index:index].lower())
start_index = index
words.append(string[start_index:].lower())
return '_'.join(words)
def camel_case_dict(data, remove=False):
for key in list(data.keys()):
if key.find('_') > 0:
data[snake_to_camel_case(key)] = data[key]
if remove:
del data[key]
return data
def snake_case_dict(data, remove=False):
for key in list(data.keys()):
sc_key = camel_to_snake_case(key)
if sc_key != key:
data[sc_key] = data[key]
if remove:
del data[key]
return data |
"""
Task :
Given an integer, , perform the following conditional actions:
If is odd, print Weird
If is even and in the inclusive range of to , print Not Weird
If is even and in the inclusive range of to , print Weird
If is even and greater than , print Not Weird
"""
number = int(input().strip())
if (6 <= number <= 20) or (number%2):
print('Weird')
else:
print('Not Weird') | """
Task :
Given an integer, , perform the following conditional actions:
If is odd, print Weird
If is even and in the inclusive range of to , print Not Weird
If is even and in the inclusive range of to , print Weird
If is even and greater than , print Not Weird
"""
number = int(input().strip())
if 6 <= number <= 20 or number % 2:
print('Weird')
else:
print('Not Weird') |
T = int(input())
for i in range(T):
RS = input().split()
R = int(RS[0])
S = RS[1]
P = ''
for i in S:
P += (i * R)
print(P) | t = int(input())
for i in range(T):
rs = input().split()
r = int(RS[0])
s = RS[1]
p = ''
for i in S:
p += i * R
print(P) |
config = some.Structure(
globalMap = {
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110040120003212: [114413100031332,102101001412002,100210000032130,214000110100040,103031420121210,112114222301010,110133330100020,100001001203011,102210220202130,102200120234012],
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114121130201204: [100040031020241,101100104000222,102324141000002,101010234004042,102041224010012,100411400030100,100002000102100,114340102322021,112033124022002,102120221120200],
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100001440133234: [102111040210242,114110000002430,102010011412143,100424220032043,114013422300032,102021004001004,100131414303044,100201010110320,100000221030033,110101101120302],
114002033000020: [100001121002141,102000040201003,101132131221321,100004440004031,102002011033030,110310300003402,110220022132003,101001000302103,110044112100220,100010120031210],
112123022000131: [100304201000221,100112021020320,103010001422020,102300124023122,114221004100020,100002100124101,102304100210334,100403210010142,112003100241220,102204304000304],
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1003123041101031: [110043132100300,102220120203200,100002004201122,110132031134031,1320303202002000,1321200010022312,110130330012140,114102134002330,140403400240000,100003230110201],
242220101103400: [111130112100210,102202200240222,110131044200121,100100004102234,110223332120231,100001024301322,114013044102010,114220114140122,101023021034304,110200210110130],
121030040400021: [110011011212100,101134030011000,103220211421421,110123230124040,131000001020102,112200412033030,110420001000202,100102110402220,110412310030001,114012022302022],
100104011300401: [110320414420310,110100100101041,100420124100211,103010211222002,101040120320230,110013021300010,101043234000412,101220000040002,100422001002123,114010010010002],
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223011102020040: [110012420131001,100132040031022,100020310000200,100220004030002,110020002003334,110014000442004,101441204020001,102014201411102,103231320100042,104121201242032],
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101134004004013, 110401020100113, 101214311020403], 1024102010130120: [102020000204032, 110000000003200, 111202004100121, 114031000012100, 102110001342114, 100222220001202, 110200000004322, 114342044032200, 111110020000001, 100200024323300], 214432414421000: [102100321320100, 102102011414242, 100041004100221, 100000000412112, 110000010033022, 102330040242220, 102140121410131, 102310400240000, 101201340300430, 111320312222220], 223412000312023: [102100004130301, 102113020210120, 102201101122100, 100102114100420, 101012310342300, 102321320224101, 100002404310212, 114012212302132, 100430324300003, 114230222331120], 211012410102104: [114404220000142, 101100214003002, 100021231022220, 102410420230111, 102301220210011, 102120004001102, 102323210221002, 103211001400330, 102410220200400, 103020210143120], 1002023202310442: [400004112102010, 1200020030443142], 100100002221212: [110231434430114, 102340144111123, 100140010100100, 130011204200020, 140243003020120, 100120014301440, 112020240233004, 102144311342041, 120422012013021, 101040400300024], 1044010413203120: [103130021444021, 100022001040322, 101400004022210, 110020030024004, 102112204131410, 102312301104422, 100000411002023, 102303200241200, 100022021041122, 114120140000100], 1400100210120201: [104100012102004, 110000010120043, 102102011413000, 102403404004110, 102031024013013, 110044020020202, 102122410220401, 110301311303102, 110021232000021, 100001140000010], 1040312010102100: [100004211221210, 110201001212001, 110200134240420, 110403221000002, 101201304200320, 114022042302201, 112002320212232, 103310101401010, 103140021401211, 102404042001400], 1000300001000101: [100003011041040, 103200141404212, 114001112300222, 100203141001002, 114122440000024, 103000020103121, 101200024010043, 101044211032201, 100011111032203, 103021440122032], 201034002100400: [110003004410041, 100000444104204, 100014420000000, 102012004013201, 100104004230031, 100021000021202, 101400000302113, 112211030201201, 110432304221110, 110410212110111], 101101331204020: [110112012140003, 112110220202020, 112002012030102, 111003410011000, 100400100022002, 110300200044430, 110401422114111, 112020021110112, 112120020220421, 110220244403201], 1122221100001000: [112023022001022, 103122221240032, 110310022220010, 102001000202131, 101020401034111, 111012400040302, 110140021322121, 110120202212130, 110013140003302, 110220002040001], 1020000002421121: [100200011001220, 111202014132111, 100003141022321, 110201434240143, 111030044110010, 110041304201404, 100040211022000, 114000134102201, 100420104301012, 102110001401111], 201022410220300: [102020410220200, 100013014101040, 400204300024034, 100402010420301, 102022110202024, 102010140220011, 1002102003210222, 1130420100342202, 102120000210110, 140020100011012], 1001100100001221: [114203000004300, 103140044032100, 110322100104010, 100032021041010, 114100004121121, 100040214102023, 103033044023040, 102403101400210, 101000001001104, 102100330231011], 1424104010001321: [114213002340022, 120402022102021, 102120140212001, 114400210002021, 103103221421013, 102010002000402, 100240011000013, 114233112330324, 100000021022400, 144200203310100], 1403010413000123: [103142100103020, 100100014033224, 101002204213002, 112001002300102, 110002402130200, 103144111211103, 112202002030000, 110100001014012, 112243034012420, 110010344204120], 1022030220022102: [114022300022421, 111210044410020, 111420230003130, 111310004122000, 101221000312044, 100400240013333, 111001314111000, 103100040210040, 100210001002200, 100001210100102], 1104301030300303: [111220002220100, 100000241020022, 101133410300302, 132200010004401, 100030044202001, 110114410003233, 140200430112430, 110012030002010, 110000040024442, 101410044021332], 131420104131100: [110230000000002, 110220301202400, 101003140322000, 110401001002400, 103012000100400, 110210024220020, 114201142324042, 100401424300314, 102213401111223, 100040120000031], 202204411100110: [114231202331202, 100003021234044, 111102032220111, 110200204224211, 111300042200340, 101010041032322, 114020042300022, 100021421020002, 102400004040100, 111120204100203], 1111100011232413: [104120011242011, 114300000000002, 110020002104100, 102111400202120, 102000301101102, 114100124002210, 111122200021102, 112400034040002, 101041100300001, 100000020201032], 1002000201011131: [114200302320443, 103100420210210, 102132004132023, 102040240242204, 103224020100300, 110030012000101, 100403220022142, 101001240310031, 100000101022200, 114030000024010], 1004104010000220: [102231130213210, 114113104123200, 101210210300031, 110002021121023, 102300040221403, 102201100200430, 100114021040000, 114121300224141, 102301100241002, 100021020412110], 1421021020110001: [103132204001001, 110003404411303, 114410010001200, 111211232220002, 100112301000311, 114000142301404, 111301032200412, 100210011201011, 113030011000324, 110100120120001], 200021104204110: [111120230020122, 114301000000002, 112124310203104, 100113324103000, 102001000221124, 102023021321020, 102114020210202, 114040204014042, 114001010044120, 101010111033143], 1120310000031004: [110411324240311, 101011034000230], 1112021100202003: [114031004020241, 102430321112030, 112101432300231, 110213042222211, 100320224314301, 114202032320004, 100040014101440, 110321100100401, 112200102033440, 110100000101440], 1102000220103034: [110011414240022, 112004202302034, 100042001020203, 100010044300003, 114130210231020, 112120224040040, 103301410110110, 102124031023100, 100204104320231, 114002104020100], 1440232013001100: [103012024004312, 101040040300223, 114234004000210, 100100001040410], 1110140020111223: [100321004011041, 110002342100014, 110021312002040, 111101042244210, 110124002040002, 103110314000100, 110023410122402, 114302200014241, 111204200002001, 100002300411002], 1222102001102032: [110200321303322, 100010030100011, 103002041402004, 102022024000100, 102103030210003, 114120034123300, 100040001230110, 103010011401200, 100020014210002, 114010112332112], 102121400201014: [111124004101012, 104102040011120, 114103220220104, 102120004001310, 102430121110340, 101021204000200, 102020121102120, 112141104020201, 101200111020111, 110001200422320], 102010300001011: [102404004041224, 102200041120220, 103220010101140, 101140014001001, 114101002200223, 1034110304101100, 110021041330000, 114321140000202, 121102001120113, 103322000111220], 110101402310010: [114011302301400, 102304034110400, 102100220210000, 112000022000300, 100003214102204, 102430300201034, 112030122000001, 101102104020404, 111222024104240, 112000102000001], 1013400111031002: [110300222104222, 100002040410130, 100440001000012, 100403011002204, 110202414214022, 111002420031340, 112432142020024, 101103012130233, 102320304030000, 101112241010002], 102003130120100: [100001230201101, 101101131132022, 100010100000042, 104120211242040, 112220104002000, 102223004042102, 110410312121010, 110330130010041, 100030034303012, 102422200201100], 122040420010323: [114203042330220, 102102231400111, 100032421040120, 101004201001232, 100000400412200, 100002020101023, 111100232241200, 100011234202334, 102111024004010, 103343010113030], 1031013022303011: [110000322130121, 100200001210021, 103204230111030, 100422211004214, 102100000210002, 102121010210004, 114013214010111, 100010004210020, 112002100240200, 100001404100110], 221002402022003: [102021401410001, 114210410000401, 102002410222340, 103210214003143, 100110000020111, 114401000004202, 100024104100032, 103303000112122, 102100014132110, 100021304103002], 1001100210002400: [110322104424202, 102112201020000, 102102220312102, 103004204021310, 112220102043102, 110012310020200, 103030120100220, 100232224340041, 112400002011010, 112011001113222], 212002400114144: [100032041021210, 102040011121100, 114310000001232, 111322234130000, 110104002010100, 100030024303023, 102042204000300, 100001134100120, 110303401230040, 110024140142000], 1120324010000221: [114040300043111, 110203111111000, 114010030024204, 102010201012014, 102041204000002, 102323204112320, 100402201004014, 100420404320101, 102123414032304, 112401014040034], 101031020122412: [100000210100030, 110001440041003, 100000220111021, 101000430320220, 100401022201110, 101100001110030, 102210011101110, 112100302012023, 100102410403204, 110042021100041], 200422320010040: [100000210410212, 100202021212012, 102000032003002, 104003410010031, 103020201401104, 110020030011011, 100100000012334], 213123000110000: [103010010104000, 102330030243120, 102100100210033, 100002200014412, 102140142001210, 100141004030100, 104130442103041, 110000012124020, 100022201040213, 110221320111003], 1002203431222130: [103241000112010, 100034114100102, 110330002104200, 114000000030300, 114101012201420, 101114420310142, 102112100210100, 110011111104432, 101300000340401, 100011301210241], 140000130120401: [101000211032200, 104100001242022, 101210000300320, 102120022000224, 100204000410301, 111213130001022, 101030120340201, 102121444003011, 102240121302011, 100401400022202], 1020020030010202: [102202204040010, 103333040110114, 101022200343023, 102000000221222, 102011014001111, 102331201001140, 102101001342004, 102103001414002, 102022011101012, 103222024031400], 1000120402321010: [101010400300001, 110002211302010, 100040004310211, 111101144403004], 1111020032213240: [100404210032112, 100121010022020, 112100322040040, 100112134030041, 102000000224001, 102013314023030, 102103111403000, 102004044000100, 110030121201003, 102110030210103], 204240141002041: [101022000322012, 110123000122000, 110212010000000, 100200020144110, 100230421212431, 100101201021044, 112400000200011, 102112400224210, 100400230020212, 110440401003310], 111403302134022: [102001144013040, 100012111020031, 112203400410130, 100302320420012, 102000404001103, 100022211040222, 112012220214324, 110030400140000, 102242022004100, 103043001412001], 1004010321040430: [100104100022200, 101010020320410, 101120201100110, 102304021004012, 110120001121422, 120000042021310, 100100030402102, 100300414022102, 102100234022140, 101024124000000], 140113212104010: [110211002121001, 101442031012013, 103202000101303, 110020232002103, 114101004000301, 110012311001312, 100241100430000, 102102400314222, 111022022233042, 100120020401013], 1103120200120021: [110134044242442, 100002302213022, 101030020022301, 110120400022300, 100041044101100, 104032420010121, 100121104031022, 103004030121000, 103212210100022, 110144200000122], 120101001020342: [110210400114203, 100001100104021, 101101300010301, 101122200300011, 112210201100012, 102120200221403, 112001122302311, 101001211004233, 102303011002000, 102314100240010], 1002132023000020: [114001204020002, 114230000001013, 100022211001110, 112000002310000, 100010201030300, 112420104040020, 100403430013124, 101002100322211, 112004000230002, 110220111110412], 100000200014040: [101242011000124, 100202340430142, 114420242311240, 110141001301302, 101200200300310, 114011402303024, 112124000203110, 101011000320010, 102020004000040, 102110201342301], 1004311210021102: [100114004100001, 102012030213014, 102003320200411, 112440114040203, 100401001011010, 103001204002010, 100340114211043, 100033001220020, 101100120334014, 114233002340141], 1240000303230010: [103204424022010, 110304304420001, 102110402001413, 102131334020220, 114210024001201, 1031024222000122, 200003020011141, 100020111230000, 114102010224000, 114301012300202], 1001310301020000: [111201000013222, 114004104012300, 114211202324143, 101203211010000, 101200314040213, 103302140112020, 114003200023323, 100012014300020, 114110024000020, 102213214110012], 202000424030110: [101020000300112, 100002020410020, 101000001111200, 102012220241003, 111120214102000, 102113200210140, 103130020213032, 101430211012120, 102323204113210, 102403031110014], 120121341000001: [102041100200402, 112100404000230, 110400112021140, 110112121002403, 110122221240302, 102401200230234, 102241230200120, 110201111200204, 110400104222012, 103302024010240], 1400200011214220: [100002101021120, 102102012003220, 102313114114000, 103030304021102, 100000101001431, 100104100422041, 100001044241012, 102030420223110, 102120200201042, 100200011000020], 101332113114042: [110144240011020, 110011011212100, 101134030011000, 112000244001222, 114441114123013, 103220211421421, 110123230124040, 114000012334102, 101000014012442, 131000001020102], 1000030222202004: [110221204243141, 100400220010240, 102300221002020, 111010204401023, 100000010004124, 110312300040010, 103120000104021, 101220200040320, 102102001402012, 100124221021011], 1144441010000220: [112002204004403, 103013001430040, 100402021000101, 101104121111112, 102141032001100, 100100220024041, 114000000023404, 103030200142241, 103010040123432, 102112322004011], 240201020200121: [111133110023322, 100400024103122, 102000021101201, 112024200220201, 101001440303020, 102000124010400, 103002224002043, 110140141201202, 112012030233024, 114201004001120], 121221411100014: [100012320001320, 102000331120104, 100232214222204, 110203111111000, 112104212010101, 100001104201201, 102300221002020, 100002101020010, 112010202000202, 102033024010010], 1010044020430310: [104120011242011, 114300000000002, 110020002104100, 102111400202120, 102000301101102, 111400214442024, 114100124002210, 111122200021102, 114032234033303, 112400034040002], 1020000200222300: [110402402020010, 112421302011301, 101023431001040, 110001210120320, 110300404422030, 111024100022301, 110200310012010, 110102110124010, 100000404341421, 110000022100112], 110302143030000: [101201004044021, 102422122000001, 100040204202102, 100200124341000, 110021212130000, 103230324024140, 112120022010120, 102113111410044, 101042130310010, 111202014413200], 1031222012302021: [111304340002030, 110102000401214, 100100111044040, 103140014002031, 102024102020000, 102224241110003, 102001014013004, 114113014000010, 114022100010000, 114321004030021], 124203022000303: [103100221440010, 114003344011001, 100021101000000, 101014201030204, 101203001010111, 100031201030102, 114201104114111, 101041001003300, 100001100411302, 114012444020220], 220102220004103: [102342110212020, 100024024200032, 221123404200214, 100021024100301, 1101210010010223, 102042000211301, 1300004102024404, 100421001000020, 1300102043130042, 1333020210312100], 1113300400421010: [110021000410432, 100042304102210, 103202000110102, 102020440220202, 101010010320112, 100042000000000, 112000021122010, 100021111043012, 102122101023020, 110124041140000], 1130010120120310: [104130242103012, 100002131024210, 102410001402210, 102000101132400, 110000102100012, 112023140212112, 114000312301300, 102120214001422, 102400231404200, 114200422324023], 1000412130010144: [114042102330002, 100014001041000, 204020131034103, 114113404003030, 102310030240210, 102100204001030, 102200400234000, 103001324012043, 102110222004041, 100102240020100], 1400220101000132: [102023000220003, 101004204212040, 112130030422202, 102202014030001, 100444021001102, 100020404302120, 112013400220104, 101022424011430, 112112002014120, 112321041130330], 1000141214101410: [102101320220430, 110100010000102, 114020444100202, 114020232302203, 100111120012323, 100014044200222, 101001000321032, 101124021110021, 100023100104410, 110100112141141], 200000101104221: [104132340011314, 102203304123030, 114012040020310, 110000212104130, 110200200004002, 101000040320021, 114131040224332, 114002210021300, 103230114000201, 100123020032031], 204143214033312: [110000212101040, 100014401210011, 110021410020203, 110411044221200, 112024232302040, 102423031402210, 114013022304040, 102021311100042, 100201020140421, 100004001002300]}) |
LOG_RECORD_PROPERTIES = {
"application_name": {"type": "keyword"},
"environment": {"type": "keyword"},
"logfile": {"type": "keyword"},
"data_pipeline": {
"properties": {
"id": {"type": "keyword"},
"component": {"type": "keyword"},
"instance": {"type": "keyword"},
"attempt": {"type": "keyword"},
}
},
"emr_cluster": {"properties": {"id": {"type": "keyword"}, "step_id": {"type": "keyword"}}},
"@timestamp": {
"type": "date",
"format": "strict_date_optional_time",
}, # generic ISO datetime parser
"datetime": {
"properties": {
"epoch_time_in_millis": {"type": "long"},
"date": {"type": "date", "format": "strict_date"},
"year": {"type": "integer"},
"month": {"type": "integer"},
"day": {"type": "integer"},
"day_of_week": {"type": "integer"},
"hour": {"type": "integer"},
"minute": {"type": "integer"},
"second": {"type": "integer"},
},
},
"etl_id": {"type": "keyword"},
"log_level": {"type": "keyword"},
"logger": {"type": "text", "analyzer": "simple", "fields": {"name": {"type": "keyword"}}},
"thread_name": {"type": "keyword"},
"source_code": {
"properties": {"filename": {"type": "text"}, "line_number": {"type": "integer"}}
},
"message": {
"type": "text",
"analyzer": "standard",
"fields": {"raw": {"type": "keyword"}, "english": {"type": "text", "analyzer": "english"}},
},
"monitor": {
"properties": {
"monitor_id": {"type": "keyword"},
"step": {"type": "keyword"},
"event": {"type": "keyword"},
"target": {"type": "keyword"},
"elapsed": {"type": "float"},
"rowcount": {"type": "long"},
"error_codes": {"type": "text"},
}
},
"parser": {
"properties": {
"start_pos": {"type": "long"},
"end_pos": {"type": "long"},
"chars": {"type": "long"},
}
},
}
| log_record_properties = {'application_name': {'type': 'keyword'}, 'environment': {'type': 'keyword'}, 'logfile': {'type': 'keyword'}, 'data_pipeline': {'properties': {'id': {'type': 'keyword'}, 'component': {'type': 'keyword'}, 'instance': {'type': 'keyword'}, 'attempt': {'type': 'keyword'}}}, 'emr_cluster': {'properties': {'id': {'type': 'keyword'}, 'step_id': {'type': 'keyword'}}}, '@timestamp': {'type': 'date', 'format': 'strict_date_optional_time'}, 'datetime': {'properties': {'epoch_time_in_millis': {'type': 'long'}, 'date': {'type': 'date', 'format': 'strict_date'}, 'year': {'type': 'integer'}, 'month': {'type': 'integer'}, 'day': {'type': 'integer'}, 'day_of_week': {'type': 'integer'}, 'hour': {'type': 'integer'}, 'minute': {'type': 'integer'}, 'second': {'type': 'integer'}}}, 'etl_id': {'type': 'keyword'}, 'log_level': {'type': 'keyword'}, 'logger': {'type': 'text', 'analyzer': 'simple', 'fields': {'name': {'type': 'keyword'}}}, 'thread_name': {'type': 'keyword'}, 'source_code': {'properties': {'filename': {'type': 'text'}, 'line_number': {'type': 'integer'}}}, 'message': {'type': 'text', 'analyzer': 'standard', 'fields': {'raw': {'type': 'keyword'}, 'english': {'type': 'text', 'analyzer': 'english'}}}, 'monitor': {'properties': {'monitor_id': {'type': 'keyword'}, 'step': {'type': 'keyword'}, 'event': {'type': 'keyword'}, 'target': {'type': 'keyword'}, 'elapsed': {'type': 'float'}, 'rowcount': {'type': 'long'}, 'error_codes': {'type': 'text'}}}, 'parser': {'properties': {'start_pos': {'type': 'long'}, 'end_pos': {'type': 'long'}, 'chars': {'type': 'long'}}}} |
class Solution(object):
def findPoisonedDuration(self, timeSeries, duration):
"""
:type timeSeries: List[int]
:type duration: int
:rtype: int
"""
prev_end = None
ans = 0
for t in timeSeries:
end = t + duration
t = max(prev_end, t)
ans += end - t
prev_end = end
return ans
| class Solution(object):
def find_poisoned_duration(self, timeSeries, duration):
"""
:type timeSeries: List[int]
:type duration: int
:rtype: int
"""
prev_end = None
ans = 0
for t in timeSeries:
end = t + duration
t = max(prev_end, t)
ans += end - t
prev_end = end
return ans |
# from module_1 import add_number
# from module_1 import print_number
# from module_1 import number
number = 0
def number_in_function():
def add_number_func(number):
number = 2
print(f'Number in function - {number}')
add_number_func(number)
print(f'Number out of the function - {number}')
def add_directly():
global number
number = 3
print(number)
add_directly()
print(f'Number out of the function - {number}')
def variable_in_module():
add_number()
print_number()
global number
print(f'Imported number = {number}')
number = 6
print_number()
if __name__ == '__main__':
# variable_in_module()
number_in_function() | number = 0
def number_in_function():
def add_number_func(number):
number = 2
print(f'Number in function - {number}')
add_number_func(number)
print(f'Number out of the function - {number}')
def add_directly():
global number
number = 3
print(number)
add_directly()
print(f'Number out of the function - {number}')
def variable_in_module():
add_number()
print_number()
global number
print(f'Imported number = {number}')
number = 6
print_number()
if __name__ == '__main__':
number_in_function() |
class BaseEnvironment:
def getResponseDistribution(self, hour, minute, day,
stateLocation, stateActivity, lastNotificationTime):
"""
This function returns user's internal perception of notifications (i.e., at this given
context, how likely the user is going to answer the notification.)
Returns:
(probAnsweringNotification, probIgnoringNotification, probDismissingNotification)
- probAnsweringNotification: A float number between 0. to 1.
- probIgnoringNotification: A float number between 0. to 1.
- probDismissingNotification: A float number between 0. to 1.
The sum of `probAnsweringNotification`, `probIgnoringNotification`, and
`probDismissingNotification` is expected to be 1.0.
"""
pass
| class Baseenvironment:
def get_response_distribution(self, hour, minute, day, stateLocation, stateActivity, lastNotificationTime):
"""
This function returns user's internal perception of notifications (i.e., at this given
context, how likely the user is going to answer the notification.)
Returns:
(probAnsweringNotification, probIgnoringNotification, probDismissingNotification)
- probAnsweringNotification: A float number between 0. to 1.
- probIgnoringNotification: A float number between 0. to 1.
- probDismissingNotification: A float number between 0. to 1.
The sum of `probAnsweringNotification`, `probIgnoringNotification`, and
`probDismissingNotification` is expected to be 1.0.
"""
pass |
word_list = [
'ratt',
'poison',
'twisted sister',
'skid row',
'guns n roses',
'slaughter',
'kix',
'van halen',
'tora tora',
'ozzy osbourne',
'lita ford',
'vixen',
'dangerous toys',
'blue murder',
'damn yankees',
'def leppard',
'tesla',
'warrant',
'motley crue'
]
| word_list = ['ratt', 'poison', 'twisted sister', 'skid row', 'guns n roses', 'slaughter', 'kix', 'van halen', 'tora tora', 'ozzy osbourne', 'lita ford', 'vixen', 'dangerous toys', 'blue murder', 'damn yankees', 'def leppard', 'tesla', 'warrant', 'motley crue'] |
# -*- coding: utf-8 -*-
"""Define project metadata
"""
__title__ = "hashfs"
__summary__ = "A content-addressable file management system."
__url__ = "https://github.com/dgilland/hashfs"
__version__ = "0.7.2"
__install_requires__ = []
__tests_require__ = ["tox"]
__author__ = "Derrick Gilland"
__email__ = "dgilland@gmail.com"
__license__ = "MIT License"
| """Define project metadata
"""
__title__ = 'hashfs'
__summary__ = 'A content-addressable file management system.'
__url__ = 'https://github.com/dgilland/hashfs'
__version__ = '0.7.2'
__install_requires__ = []
__tests_require__ = ['tox']
__author__ = 'Derrick Gilland'
__email__ = 'dgilland@gmail.com'
__license__ = 'MIT License' |
def change(amount):
if amount is None or amount < 24 or amount > 1000:
raise ValueError('"' + str(amount) + '" must be a integer between 24 and 1000')
return _get_change(amount)
def _get_change(amount):
if amount % 7 == 0:
return [7] * int(amount/7)
coins = _get_change(amount - 5)
coins.append(5)
return coins
| def change(amount):
if amount is None or amount < 24 or amount > 1000:
raise value_error('"' + str(amount) + '" must be a integer between 24 and 1000')
return _get_change(amount)
def _get_change(amount):
if amount % 7 == 0:
return [7] * int(amount / 7)
coins = _get_change(amount - 5)
coins.append(5)
return coins |
class Solution(object):
def minOperations(self, s):
"""
:type s: str
:rtype: int
"""
# Runtime: 52 ms
# Memory: 13.4 Mb
return min(self.check(s, "0", "1"), self.check(s, "1", "0"))
def check(self, string, char_even, char_odd):
changes = 0
for idx, char in enumerate(string):
if idx % 2 == 0:
if char != char_even:
changes += 1
else:
if char != char_odd:
changes += 1
return changes
| class Solution(object):
def min_operations(self, s):
"""
:type s: str
:rtype: int
"""
return min(self.check(s, '0', '1'), self.check(s, '1', '0'))
def check(self, string, char_even, char_odd):
changes = 0
for (idx, char) in enumerate(string):
if idx % 2 == 0:
if char != char_even:
changes += 1
elif char != char_odd:
changes += 1
return changes |
def extractWeleTranslation(item):
"""
"""
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or 'preview' in item['title'].lower():
return None
if item['title'].lower().startswith('sin city'):
return buildReleaseMessageWithType(item, 'Sin City', vol, chp, frag=frag, postfix=postfix)
if item['title'].lower().startswith('zhan xian'):
return buildReleaseMessageWithType(item, 'Zhan Xian', vol, chp, frag=frag, postfix=postfix)
if item['title'].lower().startswith('heaven awakening path'):
return buildReleaseMessageWithType(item, 'Heaven Awakening Path', vol, chp, frag=frag, postfix=postfix)
if item['title'].lower().startswith('immortal executioner'):
return buildReleaseMessageWithType(item, 'Immortal Executioner', vol, chp, frag=frag, postfix=postfix)
return False
| def extract_wele_translation(item):
"""
"""
(vol, chp, frag, postfix) = extract_vol_chapter_fragment_postfix(item['title'])
if not (chp or vol) or 'preview' in item['title'].lower():
return None
if item['title'].lower().startswith('sin city'):
return build_release_message_with_type(item, 'Sin City', vol, chp, frag=frag, postfix=postfix)
if item['title'].lower().startswith('zhan xian'):
return build_release_message_with_type(item, 'Zhan Xian', vol, chp, frag=frag, postfix=postfix)
if item['title'].lower().startswith('heaven awakening path'):
return build_release_message_with_type(item, 'Heaven Awakening Path', vol, chp, frag=frag, postfix=postfix)
if item['title'].lower().startswith('immortal executioner'):
return build_release_message_with_type(item, 'Immortal Executioner', vol, chp, frag=frag, postfix=postfix)
return False |
"""
An english to pig latin translator made without the use of machine learning.
"""
s = input('Enter a string to translate to Pig Latin: ')
end = ''
vowels = ['a', 'e', 'i', 'o', 'u']
n = 0
for i in range(len(s)):
if s[i] in vowels:
n = i
break
else:
end += s[i]
print(s[n:]+end+'ay')
| """
An english to pig latin translator made without the use of machine learning.
"""
s = input('Enter a string to translate to Pig Latin: ')
end = ''
vowels = ['a', 'e', 'i', 'o', 'u']
n = 0
for i in range(len(s)):
if s[i] in vowels:
n = i
break
else:
end += s[i]
print(s[n:] + end + 'ay') |
with open("headers.txt", 'r') as file:
headers_unformatted = [header.strip() for header in file]
organized_headers = dict()
for header in headers_unformatted:
key, value = header.split(": ")
organized_headers[key] = value
print("{")
for k, v in organized_headers.items():
print(f"'{k}'", ":", f"'{v}',")
print("}")
| with open('headers.txt', 'r') as file:
headers_unformatted = [header.strip() for header in file]
organized_headers = dict()
for header in headers_unformatted:
(key, value) = header.split(': ')
organized_headers[key] = value
print('{')
for (k, v) in organized_headers.items():
print(f"'{k}'", ':', f"'{v}',")
print('}') |
with open("in.txt", "r") as f:
s = f.read()
with open("out.txt", "w") as f:
for x in s.split("\n"):
if len(x) > 0:
print("# " + x[3:], file=f)
if __name__ == "__main__":
pass
| with open('in.txt', 'r') as f:
s = f.read()
with open('out.txt', 'w') as f:
for x in s.split('\n'):
if len(x) > 0:
print('# ' + x[3:], file=f)
if __name__ == '__main__':
pass |
class PostureAidConfig:
__conf = {
"PAD_X": 30,
"PAD_Y": 30,
"MODEL": 101,
"CAM_ID": 0,
"CORRECT_POS": (0,0,0,0),
"SCALE_FACTOR": 0.7125,
"ALARM_FILE": './data/audio/alarm_audio.wav'
}
__setters = []
@staticmethod
def config(key):
return PostureAidConfig.__conf[key]
@staticmethod
def set(key, value):
if key in PostureAidConfig.__setters:
PostureAidConfig.__conf[key] = value
else:
raise KeyError("Key not accepted in set() method") | class Postureaidconfig:
__conf = {'PAD_X': 30, 'PAD_Y': 30, 'MODEL': 101, 'CAM_ID': 0, 'CORRECT_POS': (0, 0, 0, 0), 'SCALE_FACTOR': 0.7125, 'ALARM_FILE': './data/audio/alarm_audio.wav'}
__setters = []
@staticmethod
def config(key):
return PostureAidConfig.__conf[key]
@staticmethod
def set(key, value):
if key in PostureAidConfig.__setters:
PostureAidConfig.__conf[key] = value
else:
raise key_error('Key not accepted in set() method') |
# Copyright 2007-2016 The HyperSpy developers
#
# This file is part of HyperSpy.
#
# HyperSpy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# HyperSpy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with HyperSpy. If not, see <http://www.gnu.org/licenses/>.
# custom exceptions
class ByteOrderError(Exception):
def __init__(self, order=''):
self.byte_order = order
def __str__(self):
return repr(self.byte_order)
class DM3FileVersionError(Exception):
def __init__(self, value=''):
self.dm3_version = value
def __str__(self):
return repr(self.dm3_version)
class DM3TagError(Exception):
def __init__(self, value=''):
self.dm3_tag = value
def __str__(self):
return repr(self.dm3_tag)
class DM3DataTypeError(Exception):
def __init__(self, value=''):
self.dm3_dtype = value
def __str__(self):
return repr(self.dm3_dtype)
class DM3TagTypeError(Exception):
def __init__(self, value=''):
self.dm3_tagtype = value
def __str__(self):
return repr(self.dm3_tagtype)
class DM3TagIDError(Exception):
def __init__(self, value=''):
self.dm3_tagID = value
def __str__(self):
return repr(self.dm3_tagID)
class ImageIDError(Exception):
def __init__(self, value=''):
self.image_id = value
def __str__(self):
return repr(self.image_id)
class ImageModeError(Exception):
def __init__(self, value=''):
self.mode = value
def __str__(self):
return repr(self.mode)
class ShapeError(Exception):
def __init__(self, value):
self.error = value.shape
def __str__(self):
return repr(self.error)
class NoInteractiveError(Exception):
def __init__(self):
self.error = "HyperSpy must run in interactive mode to use this feature"
def __str__(self):
return repr(self.error)
class WrongObjectError(Exception):
def __init__(self, is_str, must_be_str):
self.error = ("A object of type %s was given, but a %s" % (
is_str, must_be_str) + " object is required")
def __str__(self):
return repr(self.error)
class MissingParametersError(Exception):
def __init__(self, parameters):
par_str = ''
for par in parameters:
par_str += '%s,' % par
self.error = "The following parameters are missing: %s" % par_str
# Remove the last comma
self.error = self.error[:-1]
def __str__(self):
return repr(self.error)
class DataDimensionError(Exception):
def __init__(self, msg):
self.msg = msg
def __str__(self):
return repr(self.msg)
class SignalDimensionError(Exception):
def __init__(self, output_dimension, expected_output_dimension):
self.output_dimension = output_dimension
self.expected_output_dimension = expected_output_dimension
self.msg = 'output dimension=%i, %i expected' % (
self.output_dimension, self.expected_output_dimension)
def __str__(self):
return repr(self.msg)
class NavigationDimensionError(Exception):
def __init__(self,
navigation_dimension,
expected_navigation_dimension):
self.navigation_dimension = navigation_dimension
self.expected_navigation_dimension = \
expected_navigation_dimension
self.msg = 'navigation dimension=%i, %s expected' % (
self.navigation_dimension, self.expected_navigation_dimension)
def __str__(self):
return repr(self.msg)
class SignalSizeError(Exception):
def __init__(self, signal_size, expected_signal_size):
self.signal_size = signal_size
self.expected_signal_size = expected_signal_size
self.msg = 'signal_size=%i, %i expected' % (
self.signal_size, self.expected_signal_size)
def __str__(self):
return repr(self.msg)
class NavigationSizeError(Exception):
def __init__(self, navigation_size, expected_navigation_size):
self.navigation_size = navigation_size
self.expected_navigation_size = expected_navigation_size
self.msg = 'navigation_size =%i, %i expected' % (
self.navigation_size, self.expected_navigation_size)
class VisibleDeprecationWarning(UserWarning):
"""Visible deprecation warning.
By default, python will not show deprecation warnings, so this class
provides a visible one.
"""
pass
| class Byteordererror(Exception):
def __init__(self, order=''):
self.byte_order = order
def __str__(self):
return repr(self.byte_order)
class Dm3Fileversionerror(Exception):
def __init__(self, value=''):
self.dm3_version = value
def __str__(self):
return repr(self.dm3_version)
class Dm3Tagerror(Exception):
def __init__(self, value=''):
self.dm3_tag = value
def __str__(self):
return repr(self.dm3_tag)
class Dm3Datatypeerror(Exception):
def __init__(self, value=''):
self.dm3_dtype = value
def __str__(self):
return repr(self.dm3_dtype)
class Dm3Tagtypeerror(Exception):
def __init__(self, value=''):
self.dm3_tagtype = value
def __str__(self):
return repr(self.dm3_tagtype)
class Dm3Tagiderror(Exception):
def __init__(self, value=''):
self.dm3_tagID = value
def __str__(self):
return repr(self.dm3_tagID)
class Imageiderror(Exception):
def __init__(self, value=''):
self.image_id = value
def __str__(self):
return repr(self.image_id)
class Imagemodeerror(Exception):
def __init__(self, value=''):
self.mode = value
def __str__(self):
return repr(self.mode)
class Shapeerror(Exception):
def __init__(self, value):
self.error = value.shape
def __str__(self):
return repr(self.error)
class Nointeractiveerror(Exception):
def __init__(self):
self.error = 'HyperSpy must run in interactive mode to use this feature'
def __str__(self):
return repr(self.error)
class Wrongobjecterror(Exception):
def __init__(self, is_str, must_be_str):
self.error = 'A object of type %s was given, but a %s' % (is_str, must_be_str) + ' object is required'
def __str__(self):
return repr(self.error)
class Missingparameterserror(Exception):
def __init__(self, parameters):
par_str = ''
for par in parameters:
par_str += '%s,' % par
self.error = 'The following parameters are missing: %s' % par_str
self.error = self.error[:-1]
def __str__(self):
return repr(self.error)
class Datadimensionerror(Exception):
def __init__(self, msg):
self.msg = msg
def __str__(self):
return repr(self.msg)
class Signaldimensionerror(Exception):
def __init__(self, output_dimension, expected_output_dimension):
self.output_dimension = output_dimension
self.expected_output_dimension = expected_output_dimension
self.msg = 'output dimension=%i, %i expected' % (self.output_dimension, self.expected_output_dimension)
def __str__(self):
return repr(self.msg)
class Navigationdimensionerror(Exception):
def __init__(self, navigation_dimension, expected_navigation_dimension):
self.navigation_dimension = navigation_dimension
self.expected_navigation_dimension = expected_navigation_dimension
self.msg = 'navigation dimension=%i, %s expected' % (self.navigation_dimension, self.expected_navigation_dimension)
def __str__(self):
return repr(self.msg)
class Signalsizeerror(Exception):
def __init__(self, signal_size, expected_signal_size):
self.signal_size = signal_size
self.expected_signal_size = expected_signal_size
self.msg = 'signal_size=%i, %i expected' % (self.signal_size, self.expected_signal_size)
def __str__(self):
return repr(self.msg)
class Navigationsizeerror(Exception):
def __init__(self, navigation_size, expected_navigation_size):
self.navigation_size = navigation_size
self.expected_navigation_size = expected_navigation_size
self.msg = 'navigation_size =%i, %i expected' % (self.navigation_size, self.expected_navigation_size)
class Visibledeprecationwarning(UserWarning):
"""Visible deprecation warning.
By default, python will not show deprecation warnings, so this class
provides a visible one.
"""
pass |
def nthMax(nums, n):
maxs = []
for i in range(n):
m = None
for num in nums:
if (m is None or num > m) and (num not in maxs):
m = num
maxs.append(m)
return maxs[-1] if maxs[-1] is not None else maxs[0]
class Solution(object):
def thirdMax(self, nums):
return nthMax(nums, 3)
| def nth_max(nums, n):
maxs = []
for i in range(n):
m = None
for num in nums:
if (m is None or num > m) and num not in maxs:
m = num
maxs.append(m)
return maxs[-1] if maxs[-1] is not None else maxs[0]
class Solution(object):
def third_max(self, nums):
return nth_max(nums, 3) |
def main(request, response):
allow = request.GET.first(b"allow", b"false")
headers = [(b"Content-Type", b"application/javascript")]
if allow != b"false":
headers.append((b"Access-Control-Allow-Origin", b"*"))
body = b"""
function handleRejectedPromise(promise) {
promise.catch(() => {});
}
(function() {
new Promise(function(resolve, reject) { reject(42); });
})();
"""
return headers, body
| def main(request, response):
allow = request.GET.first(b'allow', b'false')
headers = [(b'Content-Type', b'application/javascript')]
if allow != b'false':
headers.append((b'Access-Control-Allow-Origin', b'*'))
body = b'\n \tfunction handleRejectedPromise(promise) {\n \t\tpromise.catch(() => {});\n \t}\n\n \t(function() {\n \t\tnew Promise(function(resolve, reject) { reject(42); });\n \t})();\n '
return (headers, body) |
psys_game_rain = 0
psys_game_snow = 1
psys_game_blood = 2
psys_game_blood_2 = 3
psys_game_hoof_dust = 4
psys_game_hoof_dust_snow = 5
psys_game_hoof_dust_mud = 6
psys_game_water_splash_1 = 7
psys_game_water_splash_2 = 8
psys_game_water_splash_3 = 9
psys_torch_fire = 10
psys_fire_glow_1 = 11
psys_fire_glow_fixed = 12
psys_torch_smoke = 13
psys_flue_smoke_short = 14
psys_flue_smoke_tall = 15
psys_war_smoke_tall = 16
psys_ladder_dust_6m = 17
psys_ladder_dust_8m = 18
psys_ladder_dust_10m = 19
psys_ladder_dust_12m = 20
psys_ladder_dust_14m = 21
psys_ladder_straw_6m = 22
psys_ladder_straw_8m = 23
psys_ladder_straw_10m = 24
psys_ladder_straw_12m = 25
psys_ladder_straw_14m = 26
psys_torch_fire_sparks = 27
psys_fire_sparks_1 = 28
psys_gekokujo_shoot_smoke = 29
psys_gekokujo_hit_smoke = 30
psys_brazier_fire_1 = 31
psys_cooking_fire_1 = 32
psys_cooking_smoke = 33
psys_food_steam = 34
psys_candle_light = 35
psys_candle_light_small = 36
psys_lamp_fire = 37
psys_dummy_smoke = 38
psys_dummy_straw = 39
psys_dummy_smoke_big = 40
psys_dummy_straw_big = 41
psys_gourd_smoke = 42
psys_gourd_piece_1 = 43
psys_gourd_piece_2 = 44
psys_fire_fly_1 = 45
psys_bug_fly_1 = 46
psys_moon_beam_1 = 47
psys_moon_beam_paricle_1 = 48
psys_night_smoke_1 = 49
psys_fireplace_fire_small = 50
psys_fireplace_fire_big = 51
psys_village_fire_big = 52
psys_village_fire_smoke_big = 53
psys_map_village_fire = 54
psys_map_village_fire_smoke = 55
psys_map_village_looted_smoke = 56
psys_dungeon_water_drops = 57
psys_wedding_rose = 58
psys_sea_foam_a = 59
psys_fall_leafs_a = 60
| psys_game_rain = 0
psys_game_snow = 1
psys_game_blood = 2
psys_game_blood_2 = 3
psys_game_hoof_dust = 4
psys_game_hoof_dust_snow = 5
psys_game_hoof_dust_mud = 6
psys_game_water_splash_1 = 7
psys_game_water_splash_2 = 8
psys_game_water_splash_3 = 9
psys_torch_fire = 10
psys_fire_glow_1 = 11
psys_fire_glow_fixed = 12
psys_torch_smoke = 13
psys_flue_smoke_short = 14
psys_flue_smoke_tall = 15
psys_war_smoke_tall = 16
psys_ladder_dust_6m = 17
psys_ladder_dust_8m = 18
psys_ladder_dust_10m = 19
psys_ladder_dust_12m = 20
psys_ladder_dust_14m = 21
psys_ladder_straw_6m = 22
psys_ladder_straw_8m = 23
psys_ladder_straw_10m = 24
psys_ladder_straw_12m = 25
psys_ladder_straw_14m = 26
psys_torch_fire_sparks = 27
psys_fire_sparks_1 = 28
psys_gekokujo_shoot_smoke = 29
psys_gekokujo_hit_smoke = 30
psys_brazier_fire_1 = 31
psys_cooking_fire_1 = 32
psys_cooking_smoke = 33
psys_food_steam = 34
psys_candle_light = 35
psys_candle_light_small = 36
psys_lamp_fire = 37
psys_dummy_smoke = 38
psys_dummy_straw = 39
psys_dummy_smoke_big = 40
psys_dummy_straw_big = 41
psys_gourd_smoke = 42
psys_gourd_piece_1 = 43
psys_gourd_piece_2 = 44
psys_fire_fly_1 = 45
psys_bug_fly_1 = 46
psys_moon_beam_1 = 47
psys_moon_beam_paricle_1 = 48
psys_night_smoke_1 = 49
psys_fireplace_fire_small = 50
psys_fireplace_fire_big = 51
psys_village_fire_big = 52
psys_village_fire_smoke_big = 53
psys_map_village_fire = 54
psys_map_village_fire_smoke = 55
psys_map_village_looted_smoke = 56
psys_dungeon_water_drops = 57
psys_wedding_rose = 58
psys_sea_foam_a = 59
psys_fall_leafs_a = 60 |
HTML_CLUSTER_DATA_DIRECTORY = 'html-cluster-data'
SPLASH_URL = 'http://localhost:8050'
USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36' # NOQA
SPLASH_TIMEOUT = 30
ALLOW_STATUS_CODE = [200]
| html_cluster_data_directory = 'html-cluster-data'
splash_url = 'http://localhost:8050'
user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36'
splash_timeout = 30
allow_status_code = [200] |
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