content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
def conciseReadInput(inputFileName):
try:
fin = open(inputFileName,'r')
dataList = fin.readlines()
fin.close()
except:
print(( " ERROR! Can't open file '" + inputFileName + "'"))
return False
i=0
while i < len(dataList):
if dataList[i].lstr... | def concise_read_input(inputFileName):
try:
fin = open(inputFileName, 'r')
data_list = fin.readlines()
fin.close()
except:
print(" ERROR! Can't open file '" + inputFileName + "'")
return False
i = 0
while i < len(dataList):
if dataList[i].lstrip() == '' o... |
class CryptoError(Exception):
''' General Exception raised by this library if an error occurs not covered below '''
pass
class InvalidTokenException(Exception):
''' Raised if there is an issue with the JWT and/or JWE headers and payloads '''
def __init__(self, value="This token is invalid"):
... | class Cryptoerror(Exception):
""" General Exception raised by this library if an error occurs not covered below """
pass
class Invalidtokenexception(Exception):
""" Raised if there is an issue with the JWT and/or JWE headers and payloads """
def __init__(self, value='This token is invalid'):
s... |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"show_cv2": "00_core.ipynb",
"blur": "00_core.ipynb",
"pixelate": "00_core.ipynb",
"find_faces": "00_core.ipynb",
"blur_areas": "00_core.ipynb",
"anonymize": "00_c... | __all__ = ['index', 'modules', 'custom_doc_links', 'git_url']
index = {'show_cv2': '00_core.ipynb', 'blur': '00_core.ipynb', 'pixelate': '00_core.ipynb', 'find_faces': '00_core.ipynb', 'blur_areas': '00_core.ipynb', 'anonymize': '00_core.ipynb', 'load_img': '00_core.ipynb', 'path': '00_core.ipynb', 'get_image_download_... |
##
class SoSAutomator:
def __init__():
pass
def setActivity(activity):
pass
def selectPlayer():
pass
| class Sosautomator:
def __init__():
pass
def set_activity(activity):
pass
def select_player():
pass |
# for i in range(11037):
# print("R"+str(i))
if __name__ == '__main__':
count_line = 24992;
list_source = "'events'"
cell_orig = "C"
cell_transl = "D"
flag_concat_origin = "Eo-"
flag_concat_transl = "Et-"
for i in range(count_line):
# print("E" + str(i))
print(r"=if(len(... | if __name__ == '__main__':
count_line = 24992
list_source = "'events'"
cell_orig = 'C'
cell_transl = 'D'
flag_concat_origin = 'Eo-'
flag_concat_transl = 'Et-'
for i in range(count_line):
print('=if(len(' + list_source + '!' + cell_transl + str(i) + ') > 0;' + 'CONCAT("' + flag_concat... |
n = int(input())
s = 0
while s < n:
current_num = int(input())
s += current_num
print(s)
| n = int(input())
s = 0
while s < n:
current_num = int(input())
s += current_num
print(s) |
#demo of class MyClass
class MyClass:
def __init__(self,name,age):
self.name=name
self.age=age
self.skills=["Java","JavaScript","Python"]
def display(self):
print("name:"+self.name)
print("age:"+self.age)
print("skills:")
for s in self.skills:
... | class Myclass:
def __init__(self, name, age):
self.name = name
self.age = age
self.skills = ['Java', 'JavaScript', 'Python']
def display(self):
print('name:' + self.name)
print('age:' + self.age)
print('skills:')
for s in self.skills:
print(s... |
#!/usr/bin/python
with open('words.txt') as f:
lines = f.readlines()
for line in lines:
print(line.rstrip())
| with open('words.txt') as f:
lines = f.readlines()
for line in lines:
print(line.rstrip()) |
characterMapEliza = {
"eliza_be0_full_naked_002": "eliza_be0_full_naked_002", # Auto: Same
"eliza_be0_full_under_002": "eliza_be0_full_under_002", # Auto: Same
"eliza_be0_naked_002": "eliza_be0_naked_002", # Auto: Same
"eliz... | character_map_eliza = {'eliza_be0_full_naked_002': 'eliza_be0_full_naked_002', 'eliza_be0_full_under_002': 'eliza_be0_full_under_002', 'eliza_be0_naked_002': 'eliza_be0_naked_002', 'eliza_be0_under_002': 'eliza_be0_under_002', 'eliza_be1_001': 'eliza_be1_001', 'eliza_be1_002': 'eliza_be1_002', 'eliza_be1_003': 'eliza_b... |
def func():
print("Func() In ONE.py")
def func1():
pass
print("Top Level in one py")
if __name__ == '__main__':
#RUN the script
print('one.py is running directly')
func1()
else:
print('one.py has be imported') | def func():
print('Func() In ONE.py')
def func1():
pass
print('Top Level in one py')
if __name__ == '__main__':
print('one.py is running directly')
func1()
else:
print('one.py has be imported') |
class Logger(object):
def __init__(self):
self.dic = {}
def shouldPrintMessage(self, timestamp, message):
if message not in self.dic:
self.dic[message] = timestamp
return True
else:
if timestamp - self.dic[message] > 10:
self.dic[messa... | class Logger(object):
def __init__(self):
self.dic = {}
def should_print_message(self, timestamp, message):
if message not in self.dic:
self.dic[message] = timestamp
return True
elif timestamp - self.dic[message] > 10:
self.dic[message] = timestamp
... |
__author__ = 'ipetrash'
def create_massive(rows, cols, init_value):
return [[init_value for c in range(cols)] for r in range(rows)]
def create_massive_2(rows, cols, init_value):
massive = []
for r in range(rows):
massive.append([])
for c in range(cols):
massive[r].append(ini... | __author__ = 'ipetrash'
def create_massive(rows, cols, init_value):
return [[init_value for c in range(cols)] for r in range(rows)]
def create_massive_2(rows, cols, init_value):
massive = []
for r in range(rows):
massive.append([])
for c in range(cols):
massive[r].append(init_v... |
def solution():
x, y, *rival = input().split()
medal = 2
medal -= 1 if x in rival else 0
medal -= 1 if y in rival else 0
print(medal)
test_case = int(input())
while test_case:
solution()
test_case -= 1 | def solution():
(x, y, *rival) = input().split()
medal = 2
medal -= 1 if x in rival else 0
medal -= 1 if y in rival else 0
print(medal)
test_case = int(input())
while test_case:
solution()
test_case -= 1 |
class CCXTException:
def __init__(self, exceptionType, message):
self.exceptionType = exceptionType
self.message = message
| class Ccxtexception:
def __init__(self, exceptionType, message):
self.exceptionType = exceptionType
self.message = message |
# 80. Remove Duplicates from Sorted Array II
# Time: O(len(nums))
# Space: O(1)
class Solution:
def removeDuplicates(self, nums: List[int]) -> int:
start = 0
index = 0
while index<len(nums):
if start<2 or (nums[index]!=nums[start-1] or nums[index]!=nums[start-2]):
... | class Solution:
def remove_duplicates(self, nums: List[int]) -> int:
start = 0
index = 0
while index < len(nums):
if start < 2 or (nums[index] != nums[start - 1] or nums[index] != nums[start - 2]):
nums[start] = nums[index]
start += 1
... |
class Traverser(object):
def __init__(self):
pass
def addVisitor(self,visitor):
pass
def visitEvent(self,event,data):
pass
def traverseForest(self,CFGForest):
pass
def traverseFunc(self,funcName):
pass
def traverseBlock(self,CFG,blockId,forestKey,prev... | class Traverser(object):
def __init__(self):
pass
def add_visitor(self, visitor):
pass
def visit_event(self, event, data):
pass
def traverse_forest(self, CFGForest):
pass
def traverse_func(self, funcName):
pass
def traverse_block(self, CFG, blockId, ... |
def find_all(sd, d):
if sd/d > 9:
return []
res, ln = [], 0
for i in partitions(sd):
if filter(lambda x: len(str(x))>1, i):
break
if len(i)==d and sum(i) == sd:
res.append(int(''.join(map(str,i))))
ln +=1
return [ln, res[-1], res[0]] if r... | def find_all(sd, d):
if sd / d > 9:
return []
(res, ln) = ([], 0)
for i in partitions(sd):
if filter(lambda x: len(str(x)) > 1, i):
break
if len(i) == d and sum(i) == sd:
res.append(int(''.join(map(str, i))))
ln += 1
return [ln, res[-1], res[0]... |
class PFSSurvey:
z_samples = {
0: {
"zrange": [0.7, 1.0],
"max_dict": dict(m_y=22.5, m_j=22.8)
},
1: {
"zrange": [1.0, 1.7],
"max_dict": dict(m_j=22.8)
}
}
sqdeg = 12.0
completeness = 0.7
def __init__(self, z_sample):
... | class Pfssurvey:
z_samples = {0: {'zrange': [0.7, 1.0], 'max_dict': dict(m_y=22.5, m_j=22.8)}, 1: {'zrange': [1.0, 1.7], 'max_dict': dict(m_j=22.8)}}
sqdeg = 12.0
completeness = 0.7
def __init__(self, z_sample):
self.zrange = self.z_samples[z_sample]['zrange']
self.max_dict = self.z_sam... |
tests = [["a"],["b"],["c"]]
for i, t in enumerate(tests[2:]):
print(i)
tests[i] = list(filter(lambda x: x is "b", t))
print(tests) | tests = [['a'], ['b'], ['c']]
for (i, t) in enumerate(tests[2:]):
print(i)
tests[i] = list(filter(lambda x: x is 'b', t))
print(tests) |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Modul : rwn_steuerung.py
# Version : 1.00
# SW-Stand : 18.04.2021
# Autor : Rolf Weiss
# Beschreibung : Definition von Steuerungs-Sequenzen
# Cursor-Position, Farben und Tastencodes
class position:
up = '\r\033[A'
d... | class Position:
up = '\r\x1b[A'
down = '\r\x1b[B'
right = '\x1b[C'
left = '\x1b[D'
class Color:
reset = '\x1b[0m'
black = '\x1b[30m'
red = '\x1b[31m'
green = '\x1b[32m'
orange = '\x1b[33m'
blue = '\x1b[34m'
purple = '\x1b[35m'
pink = '\x1b[95m'
cyan = '\x1b[36m'
... |
#
# PySNMP MIB module QUANTA-BGP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/QUANTA-BGP-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:35:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2... | (object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(single_value_constraint, value_range_constraint, value_size_constraint, constraints_union, constraints_intersection) ... |
class Solution:
def backspaceCompare(self, s: str, t: str) -> bool:
s2 = ""
t2 = ""
for each in s:
if each=="#":
s2 = s2[:-1]
else:
s2+=each
for each in t:
if each=="#":
t2 = t2[:-1]
else:... | class Solution:
def backspace_compare(self, s: str, t: str) -> bool:
s2 = ''
t2 = ''
for each in s:
if each == '#':
s2 = s2[:-1]
else:
s2 += each
for each in t:
if each == '#':
t2 = t2[:-1]
... |
def add(arr):
assert len(arr) == 2
sum = 0
for i in arr:
sum += i
return sum
def multipy(arr):
assert len(arr) == 2
mul = 1
for i in arr:
mul *= i
return mul
def devide(arr):
assert len(arr) == 2
if arr[1] == 0:
return arr[0]
return arr[0] / arr[1]... | def add(arr):
assert len(arr) == 2
sum = 0
for i in arr:
sum += i
return sum
def multipy(arr):
assert len(arr) == 2
mul = 1
for i in arr:
mul *= i
return mul
def devide(arr):
assert len(arr) == 2
if arr[1] == 0:
return arr[0]
return arr[0] / arr[1]
... |
#!/usr/bin/env python
def index():
return {}
| def index():
return {} |
INF = 10 ** 9
def BellmanFord(s):
dist = [INF] * (n + 1)
dist[s] = 0
for i in range(n):
for edge in graph:
u, v, w = edge
if dist[u] != INF and dist[u] + w < dist[v]:
dist[v] = dist[u] + w
if i == n - 1: #!!!
return True
return False
T... | inf = 10 ** 9
def bellman_ford(s):
dist = [INF] * (n + 1)
dist[s] = 0
for i in range(n):
for edge in graph:
(u, v, w) = edge
if dist[u] != INF and dist[u] + w < dist[v]:
dist[v] = dist[u] + w
if i == n - 1:
return True
... |
numbers_list = list(map(lambda x: float(x), input().split(' ')))
occ_dic = {num: numbers_list.count(num) for num in numbers_list}
#now is sorted by values, default is by key
for key, value in sorted(occ_dic.items(), key=lambda kvp: kvp[1], reverse=True):
print(f'{key} -> {value} times')
| numbers_list = list(map(lambda x: float(x), input().split(' ')))
occ_dic = {num: numbers_list.count(num) for num in numbers_list}
for (key, value) in sorted(occ_dic.items(), key=lambda kvp: kvp[1], reverse=True):
print(f'{key} -> {value} times') |
def part1():
count = 0
with open('day1-input.txt') as f:
lines = [int(x) for x in f.readlines()]
for index, current_depth in enumerate(lines[1:]):
previous_depth = lines[index]
if current_depth > previous_depth:
count += 1
print(f"The measurement incre... | def part1():
count = 0
with open('day1-input.txt') as f:
lines = [int(x) for x in f.readlines()]
for (index, current_depth) in enumerate(lines[1:]):
previous_depth = lines[index]
if current_depth > previous_depth:
count += 1
print(f'The measurement inc... |
class AttrMapping:
def __init__(self, dataset_name, mapping_type='integer', node_attr_dims=None, edge_attr_dims=None):
self.node_attr_dims = node_attr_dims
self.edge_attr_dims = edge_attr_dims
if dataset_name == 'MUTAG':
self.node_attr_values = [['C', 'N', 'O', 'F', 'I', 'Cl', 'B... | class Attrmapping:
def __init__(self, dataset_name, mapping_type='integer', node_attr_dims=None, edge_attr_dims=None):
self.node_attr_dims = node_attr_dims
self.edge_attr_dims = edge_attr_dims
if dataset_name == 'MUTAG':
self.node_attr_values = [['C', 'N', 'O', 'F', 'I', 'Cl', '... |
# Print "Hello" if a is equal to b, or if c is equal to d.
a, b, c, d = 1, 1, 1, 1
if a == b or c == d:
print("Hello")
| (a, b, c, d) = (1, 1, 1, 1)
if a == b or c == d:
print('Hello') |
caves = {}
while True:
try:
(a, b) = input().split("-")
if a in caves:
cave_a = caves[a]
cave_a.append(b)
else:
cave_a = [b]
caves[a] = cave_a
if b in caves:
cave_b = caves[b]
cave_b.append(a)
else:
... | caves = {}
while True:
try:
(a, b) = input().split('-')
if a in caves:
cave_a = caves[a]
cave_a.append(b)
else:
cave_a = [b]
caves[a] = cave_a
if b in caves:
cave_b = caves[b]
cave_b.append(a)
else:
... |
# Copyright (c) 2011 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# There's a couple key GYP variables that control how FFmpeg is built:
# ffmpeg_branding
# Controls whether we build the Chromium or Google Chrome ... | {'target_defaults': {'variables': {'release_optimize': '2', 'debug_optimize': '2', 'mac_debug_optimization': '2', 'win_debug_Optimization': '2', 'win_debug_RuntimeChecks': '0'}}, 'variables': {'conditions': [['target_arch == "arm" and armv7 == 1 and arm_neon == 1', {'ffmpeg_config%': 'arm-neon'}, {'ffmpeg_config%': '<(... |
s = input()
d={"UPPER CASE":0, "LOWER CASE":0}
for c in s:
if c.isupper():
d["UPPER CASE"]+=1
elif c.islower():
d["LOWER CASE"]+=1
else:
pass
print("UPPER CASE", d["UPPER CASE"])
print("LOWER CASE", d["LOWER CASE"]) | s = input()
d = {'UPPER CASE': 0, 'LOWER CASE': 0}
for c in s:
if c.isupper():
d['UPPER CASE'] += 1
elif c.islower():
d['LOWER CASE'] += 1
else:
pass
print('UPPER CASE', d['UPPER CASE'])
print('LOWER CASE', d['LOWER CASE']) |
#!/usr/bin/env python3
x = int(input("Enter number "))
i = 1
while(True):
if(x // (10 ** i) == 0):
dig = i
break
i += 1
lis = []
for i in str(x):
lis.append(int(i))
i = 0
arm = 0
while(i < len(lis)):
arm += lis[i] ** dig
i += 1
if(arm == x):
print("It is Armstrong number")
else:
... | x = int(input('Enter number '))
i = 1
while True:
if x // 10 ** i == 0:
dig = i
break
i += 1
lis = []
for i in str(x):
lis.append(int(i))
i = 0
arm = 0
while i < len(lis):
arm += lis[i] ** dig
i += 1
if arm == x:
print('It is Armstrong number')
else:
print('It is not Armstron... |
controller_actions = {
'charging_temperature': {'lower': 'Battery Warming System Activated', 'upper': 'Battery Cooling System Activated'},
'state_of_charge': {'lower': 'Stopping Charging: Low Battery', 'upper': 'Stopping Charging: Battery Almost Full'},
'charge_rate': {'lower': 'Stopping Charging: Charge ra... | controller_actions = {'charging_temperature': {'lower': 'Battery Warming System Activated', 'upper': 'Battery Cooling System Activated'}, 'state_of_charge': {'lower': 'Stopping Charging: Low Battery', 'upper': 'Stopping Charging: Battery Almost Full'}, 'charge_rate': {'lower': 'Stopping Charging: Charge rate low', 'upp... |
BASE_DIR = "/faceEditor/"
TEMP_DIR = "temp/"
THUMBNAIL_SIZE = 256, 256
# MODEL
MODEL = "MODELS/generator_8.h5"
MODEL_SIZE_SGM = 512, 512
MODEL_SIZE_ORG = 512, 512
SAVE_DATA = True
| base_dir = '/faceEditor/'
temp_dir = 'temp/'
thumbnail_size = (256, 256)
model = 'MODELS/generator_8.h5'
model_size_sgm = (512, 512)
model_size_org = (512, 512)
save_data = True |
class swagger_path(object):
def __init__(self, swagger_file):
self.swagger_file = swagger_file
def __call__(self, f):
f.swagger_file = self.swagger_file
return f
| class Swagger_Path(object):
def __init__(self, swagger_file):
self.swagger_file = swagger_file
def __call__(self, f):
f.swagger_file = self.swagger_file
return f |
my_list = [1,2,3,4,5]
for each in my_list: #iterating over the defined list
print(each)
| my_list = [1, 2, 3, 4, 5]
for each in my_list:
print(each) |
# -*- coding: utf-8 -*-
# @Time : 2019/12/30 11:38
# @Author : Tonny Cao
# @Email : 647812411@qq.com
# @File : __init__.py
# @Software: PyCharm
__version__ = 0.1
| __version__ = 0.1 |
MAGICSTR_BYTES = b'pst0'
STORABLE_BIN_MAJOR = 2 # Binary major "version"
STORABLE_BIN_MINOR = 11 # Binary minor "version"
BYTEORDER_BYTES = b'12345678'
SIZE_OF_INT = 4
SIZE_OF_LONG = 8
SIZE_OF_CHAR_PTR = 8
SIZE_OF_NV = 8
LG_BLESS = 127 # Large classname bless limit
#define svis_REF 0
# svis_SCALAR = 1
#define s... | magicstr_bytes = b'pst0'
storable_bin_major = 2
storable_bin_minor = 11
byteorder_bytes = b'12345678'
size_of_int = 4
size_of_long = 8
size_of_char_ptr = 8
size_of_nv = 8
lg_bless = 127
shv_restricted = 1
shv_k_utf8 = 1
shv_k_wasutf8 = 2
shv_k_locked = 4
shv_k_issv = 8
sx_object = 0
sx_lscalar = 1
sx_array = 2
sx_hash ... |
# self-scare
l = 6
def setup():
size(527, 700)
global img
img=loadImage("face.png")
def draw():
background(255)
translate(width/2, height/2)
emoji(527, 700, 1)
def emoji( w, h, level):
global l
t=map(level, 1, l, 255, 80)
tint(t)
imageMode(CENTER)
image(img, 0,... | l = 6
def setup():
size(527, 700)
global img
img = load_image('face.png')
def draw():
background(255)
translate(width / 2, height / 2)
emoji(527, 700, 1)
def emoji(w, h, level):
global l
t = map(level, 1, l, 255, 80)
tint(t)
image_mode(CENTER)
image(img, 0, 0, w, h)
if... |
class CompilationConfig:
def __init__(self,
sourceCode, # str for single code / dict for several files { file_name : source_code }
language: str,
compileTimeLimit: int
):
self.sourceCode = sourceCode
self.language = language
... | class Compilationconfig:
def __init__(self, sourceCode, language: str, compileTimeLimit: int):
self.sourceCode = sourceCode
self.language = language
self.compileTimeLimit = compileTimeLimit
class Testpointconfig:
def __init__(self, programPath: str, userOutputFile, inputFile: str, tim... |
#
# PySNMP MIB module HPN-ICF-LAG-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-LAG-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:39:36 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... | (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(single_value_constraint, value_range_constraint, constraints_union, constraints_intersection, value_size_constraint) ... |
def first(n):
return n[0]
def sort_list_first(tuples):
return sorted(tuples, key=first)
print(sort_list_first([(5, 2), (2, 1), (4, 4), (3, 2), (1, 2)]))
| def first(n):
return n[0]
def sort_list_first(tuples):
return sorted(tuples, key=first)
print(sort_list_first([(5, 2), (2, 1), (4, 4), (3, 2), (1, 2)])) |
stations = {
"07005": {"departement": "80"},
"07015": {"departement": "59"},
"07020": {"departement": "50"},
"07027": {"departement": "14"},
"07037": {"departement": "76"},
"07072": {"departement": "51"},
"07110": {"departement": "29"},
"07117": {"departement": "22"},
"07130": {"depa... | stations = {'07005': {'departement': '80'}, '07015': {'departement': '59'}, '07020': {'departement': '50'}, '07027': {'departement': '14'}, '07037': {'departement': '76'}, '07072': {'departement': '51'}, '07110': {'departement': '29'}, '07117': {'departement': '22'}, '07130': {'departement': '35'}, '07139': {'departeme... |
access_codes = {
"axc123": {
"reference_unit_id": "123",
"reference_unit_name": "ACME Corporation",
"survey_id": "023",
"survey_name": "Monthly Commodities Enquiry",
"form_type_id": "0231",
"survey_period": "0616"
},
"dey789": {
"reference_unit_id": "... | access_codes = {'axc123': {'reference_unit_id': '123', 'reference_unit_name': 'ACME Corporation', 'survey_id': '023', 'survey_name': 'Monthly Commodities Enquiry', 'form_type_id': '0231', 'survey_period': '0616'}, 'dey789': {'reference_unit_id': '124', 'reference_unit_name': 'Methods Digital', 'survey_id': '023', 'surv... |
'''
https://leetcode.com/problems/longest-increasing-subsequence/
'''
class Solution:
def lengthOfLIS(self, nums: List[int]) -> int:
n = len(nums)
graph=[ [] for i in range(n)]
for i in range(n):
for j in range(i+1,n):
if nums[j]>nums[i]:
graph... | """
https://leetcode.com/problems/longest-increasing-subsequence/
"""
class Solution:
def length_of_lis(self, nums: List[int]) -> int:
n = len(nums)
graph = [[] for i in range(n)]
for i in range(n):
for j in range(i + 1, n):
if nums[j] > nums[i]:
... |
name = 'Zed A. Shaw'
age = 35 # not a lie
height = 74.0 # inches
weight = 180.0 # lbs
eyes = 'Blue'
teeth = 'White'
hair = 'Brown'
centimeters = height * 2.54
kilograms = weight * 0.45359237
print(f"Let's talk about {name}.")
print(f"He's {centimeters} centimeters tall.")
print(f"He's {kilograms} kilograms heavy.... | name = 'Zed A. Shaw'
age = 35
height = 74.0
weight = 180.0
eyes = 'Blue'
teeth = 'White'
hair = 'Brown'
centimeters = height * 2.54
kilograms = weight * 0.45359237
print(f"Let's talk about {name}.")
print(f"He's {centimeters} centimeters tall.")
print(f"He's {kilograms} kilograms heavy.")
print("Actually that's not too... |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"ImgSize": "00_core.ipynb",
"ImgLayout": "00_core.ipynb",
"ImgType": "00_core.ipynb",
"ImgColor": "00_core.ipynb",
"duckduckgo_scrape_urls": "00_core.ipynb",
"rmtr... | __all__ = ['index', 'modules', 'custom_doc_links', 'git_url']
index = {'ImgSize': '00_core.ipynb', 'ImgLayout': '00_core.ipynb', 'ImgType': '00_core.ipynb', 'ImgColor': '00_core.ipynb', 'duckduckgo_scrape_urls': '00_core.ipynb', 'rmtree': '00_core.ipynb', 'download_urls': '00_core.ipynb', 'duckduckgo_search': '00_core.... |
CONFIG = {
"markers": [
{
# Deadline is 04/22/2022 @ 11:59pm, but use 04/23/2022 @ 12am
# since it'll look nicer
'd': ['2022-04-23'],
't': 0,
'l': 'solid',
'c': '#ad0be3',
'n': 'Drop (No W) Deadline',
's': False
... | config = {'markers': [{'d': ['2022-04-23'], 't': 0, 'l': 'solid', 'c': '#ad0be3', 'n': 'Drop (No W) Deadline', 's': False}, {'d': ['2022-05-07'], 't': 0, 'l': 'solid', 'c': '#20c2d4', 'n': 'Drop (W) Deadline', 's': False}], 'settings': {'termName': 'Spring 2022 Post-Enrollment', 'isNormal': False, 'showTotal': False, '... |
def print_output(taskbook):
output = taskbook['output']
#pprint(output)
# Print task results
print(f"Task = {output['task']}")
for result in sorted(output['devices'], key=lambda k: k['device']):
print('='*20,f"Results for {result['device']}",'='*20)
if 'exception' not in... | def print_output(taskbook):
output = taskbook['output']
print(f"Task = {output['task']}")
for result in sorted(output['devices'], key=lambda k: k['device']):
print('=' * 20, f"Results for {result['device']}", '=' * 20)
if 'exception' not in result:
if isinstance(result['result'],... |
with open(r'2021/day_1/SonarSweepInput.txt', 'r') as sonar_data:
depths = [int(depth.strip()) for depth in sonar_data.readlines()]
window_sums = [sum(depths[i:i+3]) for i in range(len(depths))]
counter = 0
for i, depth in enumerate(window_sums):
if int(depth) > int(window_sums[i-1]):
counter ... | with open('2021/day_1/SonarSweepInput.txt', 'r') as sonar_data:
depths = [int(depth.strip()) for depth in sonar_data.readlines()]
window_sums = [sum(depths[i:i + 3]) for i in range(len(depths))]
counter = 0
for (i, depth) in enumerate(window_sums):
if int(depth) > int(window_sums[i - 1]):
counter +=... |
def greet_person(name):
print("Hello " + name)
personExample = {
"name": "Sandip",
"age": 20,
"country": "India"
} | def greet_person(name):
print('Hello ' + name)
person_example = {'name': 'Sandip', 'age': 20, 'country': 'India'} |
log_level = "DEBUG"
input_ip = "0.0.0.0"
input_port = 8125
output_ip = "0.0.0.0"
output_ports = [8126,8127]
| log_level = 'DEBUG'
input_ip = '0.0.0.0'
input_port = 8125
output_ip = '0.0.0.0'
output_ports = [8126, 8127] |
ANCHOR_INFO_PATH = "C:/Users/sangmin/Desktop/backbone/pytorch/detection/dataset_info/yolo_anchors.txt"
TRAIN_DIR_PATH = "C:/Users/sangmin/Desktop/backbone/dataset/coco/train2017"
VALID_DIR_PATH = "C:/Users/sangmin/Desktop/backbone/dataset/coco/val2017"
backbone_name = "Regnet-yolo"
input_shape = (3, 608, 608)
batch_si... | anchor_info_path = 'C:/Users/sangmin/Desktop/backbone/pytorch/detection/dataset_info/yolo_anchors.txt'
train_dir_path = 'C:/Users/sangmin/Desktop/backbone/dataset/coco/train2017'
valid_dir_path = 'C:/Users/sangmin/Desktop/backbone/dataset/coco/val2017'
backbone_name = 'Regnet-yolo'
input_shape = (3, 608, 608)
batch_siz... |
width , height = 900 , 500
WIN = pygame.display.set_mode(( width , height))
pygame.display.set_caption(" Space Game!!")
bullet_firesound = pygame.mixer.Sound('python\PygameForBeginners-main\Assets\Gun+Silencer.mp3')
bullet_hitsound = pygame.mixer.Sound('python\PygameForBeginners-main\Assets\Grenade+1.mp3')
health_... | (width, height) = (900, 500)
win = pygame.display.set_mode((width, height))
pygame.display.set_caption(' Space Game!!')
bullet_firesound = pygame.mixer.Sound('python\\PygameForBeginners-main\\Assets\\Gun+Silencer.mp3')
bullet_hitsound = pygame.mixer.Sound('python\\PygameForBeginners-main\\Assets\\Grenade+1.mp3')
health... |
class Solution:
def minSubsequence(self, nums: List[int]) -> List[int]:
if len(nums) == 1: return nums
nums = sorted(nums, reverse = True); i = 1
while i < len(nums):
if sum(nums[:i]) > sum(nums[i:]):
return nums[:i]
i += 1
return nums | class Solution:
def min_subsequence(self, nums: List[int]) -> List[int]:
if len(nums) == 1:
return nums
nums = sorted(nums, reverse=True)
i = 1
while i < len(nums):
if sum(nums[:i]) > sum(nums[i:]):
return nums[:i]
i += 1
r... |
n = int(input())
if n % 2 == 0:
print(str(n) + ' is even!')
else:
print(str(n) + ' is odd!') | n = int(input())
if n % 2 == 0:
print(str(n) + ' is even!')
else:
print(str(n) + ' is odd!') |
# def order():
# return 1
def filter(x):
print("filter called")
print(x)
def detect(x):
x = ''.join([chr(l) for l in x[:3]])
if x == 'SSH': return True
return False | def filter(x):
print('filter called')
print(x)
def detect(x):
x = ''.join([chr(l) for l in x[:3]])
if x == 'SSH':
return True
return False |
# -*- coding: utf-8 -*-
description = 'ANTARES shutter devices'
group = 'lowlevel'
devices = dict(
shutter1 = device('nicos.devices.generic.ManualSwitch',
description = 'Shutter 1',
states = ['open', 'closed'],
),
shutter2 = device('nicos.devices.generic.ManualSwitch',
description ... | description = 'ANTARES shutter devices'
group = 'lowlevel'
devices = dict(shutter1=device('nicos.devices.generic.ManualSwitch', description='Shutter 1', states=['open', 'closed']), shutter2=device('nicos.devices.generic.ManualSwitch', description='Shutter 2', states=['open', 'closed']), fastshutter=device('nicos.device... |
n, k = map(int, input().split())
height = map(int, input().split())
jump = max(height) - k
if jump >= 0:
print(jump)
else:
print(0)
| (n, k) = map(int, input().split())
height = map(int, input().split())
jump = max(height) - k
if jump >= 0:
print(jump)
else:
print(0) |
# -*- coding: utf-8 -*-
# Default data types
INT = 'int64'
FLOAT = 'float32'
MODEL_DEFAULTS = {
'weight_init': 'xavier', # Can be a float for the scale of normal initialization, "xavier" or "he".
'batch_size': 32, # Training batch size
'optimizer': '... | int = 'int64'
float = 'float32'
model_defaults = {'weight_init': 'xavier', 'batch_size': 32, 'optimizer': 'adam', 'lrate': None}
train_defaults = {'init': None, 'device_id': 'auto', 'seed': 1234, 'clip_c': 5.0, 'decay_c': 0.0, 'patience': 10, 'patience_delta': 0.0, 'max_epochs': 100, 'max_iteration': int(1000000.0), 'v... |
def local_minima(left,right,array):
'''
Function to calculate local minima using binary search technique
'''
mid = (left+right)//2
if (mid == 0 or array[mid]<array[mid-1] and mid == len(array)-1 or array[mid]<array[mid+1]):
return array[mid]
elif (mid > 0 and array[mid]>array[mid-1]):
right = mid-1
... | def local_minima(left, right, array):
"""
Function to calculate local minima using binary search technique
"""
mid = (left + right) // 2
if mid == 0 or (array[mid] < array[mid - 1] and mid == len(array) - 1) or array[mid] < array[mid + 1]:
return array[mid]
elif mid > 0 and array[mid] > arra... |
class BasicField:
def __init__(self, field):
self.column = field[1:]
def get_value(self, row):
return row[self.column].replace('\n', '').replace('\r', '')
| class Basicfield:
def __init__(self, field):
self.column = field[1:]
def get_value(self, row):
return row[self.column].replace('\n', '').replace('\r', '') |
#!/usr/bin/python
# ex:set fileencoding=utf-8:
'''
from __future__ import unicode_literals
from django.forms.models import ModelChoiceIterator as DjangoModelChoiceIterator
from django.forms.models import ModelChoiceField as DjangoModelChoiceField
class ModelChoiceIterator(DjangoModelChoiceIterator):
def __ite... | """
from __future__ import unicode_literals
from django.forms.models import ModelChoiceIterator as DjangoModelChoiceIterator
from django.forms.models import ModelChoiceField as DjangoModelChoiceField
class ModelChoiceIterator(DjangoModelChoiceIterator):
def __iter__(self):
if self.field.empty_label is ... |
class Solution:
def depthSumInverse(self, nestedList: List[NestedInteger]) -> int:
level_col = collections.defaultdict(list)
def count( nest, level ):
if nest.isInteger():
level_col[level].append(nest.getInteger())
for n in nest.... | class Solution:
def depth_sum_inverse(self, nestedList: List[NestedInteger]) -> int:
level_col = collections.defaultdict(list)
def count(nest, level):
if nest.isInteger():
level_col[level].append(nest.getInteger())
for n in nest.getList():
co... |
def read_file_word(file_name):
with open(file_name, "r") as file_obj:
words = file_obj.read().split()
return words
| def read_file_word(file_name):
with open(file_name, 'r') as file_obj:
words = file_obj.read().split()
return words |
class Solution:
def minInsertions(self, s: str) -> int:
m=len(s) # Calculating the length of the string
t=[[0 for i in range(m+1)] for i in range(m+1)]
r=s[::-1] # Reversing the string
for i in range(1,m+1):
for j in range(1,m+1): ... | class Solution:
def min_insertions(self, s: str) -> int:
m = len(s)
t = [[0 for i in range(m + 1)] for i in range(m + 1)]
r = s[::-1]
for i in range(1, m + 1):
for j in range(1, m + 1):
if m == 0:
t[i][j] = 0
elif s[i -... |
def isIn(char, aStr):
'''
char: a single character
aStr: an alphabetized string
returns: True if char is in aStr; False otherwise
'''
# Your code here
l = len(aStr)
if l==0 and char=='':
return True
elif l==0 and char!='':
return False
if l%2 == 0:
... | def is_in(char, aStr):
"""
char: a single character
aStr: an alphabetized string
returns: True if char is in aStr; False otherwise
"""
l = len(aStr)
if l == 0 and char == '':
return True
elif l == 0 and char != '':
return False
if l % 2 == 0:
n = l // 2
... |
#BFS solution
class Solution(object):
def levelOrder(self, root):
q, ret = [root], []
while any(q):
ret.append([node.val for node in q])
q = [child for node in q for child in node.children if child]
return ret | class Solution(object):
def level_order(self, root):
(q, ret) = ([root], [])
while any(q):
ret.append([node.val for node in q])
q = [child for node in q for child in node.children if child]
return ret |
# all programming lanuages include selector (if statments)
def main(num):
if num < 5:
print("num is less then 5")
# if else statement
def main2(num):
if num < 5 :
print("num is less then 5")
else:
print("num is greater then 5")
# if elif statment
def main3(num):
if num == 5 :
... | def main(num):
if num < 5:
print('num is less then 5')
def main2(num):
if num < 5:
print('num is less then 5')
else:
print('num is greater then 5')
def main3(num):
if num == 5:
print('num is 5')
elif num < 5:
print('num is less then 5')
else:
pri... |
# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
project = u'EveryVoter'
author = u'Nick Catalano'
extensions = [
'sphinxcontrib.images',
"sphinx_rtd_theme",
]
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
language = None
exclude_patterns = ... | project = u'EveryVoter'
author = u'Nick Catalano'
extensions = ['sphinxcontrib.images', 'sphinx_rtd_theme']
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
language = None
exclude_patterns = []
pygments_style = 'sphinx'
html_theme = 'sphinx_rtd_theme'
html_theme_options = {'titles_only': Fal... |
# File: hackertarget_consts.py
#
# Copyright (c) 2016-2022 Splunk Inc.
#
# 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 b... | err_connectivity_test = 'Connectivity test failed'
succ_connectivity_test = 'Connectivity test passed'
err_404_msg = 'Requested resource not found'
err_server_connection = 'Connection failed'
err_from_server = 'API failed, Status code: {status}, Detail: {detail}'
err_api_unsupported_method = 'Unsupported method'
using_... |
_base_ = './htc_without_semantic_r50_fpn_1x_coco.py'
model = dict(
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict... | _base_ = './htc_without_semantic_r50_fpn_1x_coco.py'
model = dict(pretrained='open-mmlab://resnext101_64x4d', backbone=dict(type='ResNeXt', depth=101, groups=64, base_width=4, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, norm_cfg=dict(type='BN', requires_grad=True), norm_eval=True, style='pytorch', dcn=dict... |
class BufferUnderflowException(Exception):
pass
class BoundBuffer(object):
buff = b''
cursor = 0
def __init__(self, data=b""):
self.write(data)
def read(self, length):
if length > len(self):
raise BufferUnderflowException()
out = self.buff[self.cursor:self.cu... | class Bufferunderflowexception(Exception):
pass
class Boundbuffer(object):
buff = b''
cursor = 0
def __init__(self, data=b''):
self.write(data)
def read(self, length):
if length > len(self):
raise buffer_underflow_exception()
out = self.buff[self.cursor:self.cu... |
GUIDE_NAME = 'plum'
class Plum(object):
def __init__(self, glyph):
self.glyph = glyph
def toggle(self):
if self.plum_guide:
self.destroy()
else:
self.create()
def create(self):
if self.glyph_exists:
self.glyph.addGuide(self.position, s... | guide_name = 'plum'
class Plum(object):
def __init__(self, glyph):
self.glyph = glyph
def toggle(self):
if self.plum_guide:
self.destroy()
else:
self.create()
def create(self):
if self.glyph_exists:
self.glyph.addGuide(self.position, se... |
class Lukuvinkki:
def __init__(self, otsikko, url):
self.otsikko = otsikko
self.url = url
def get_otsikko(self):
return self.otsikko
def get_linkki(self):
return self.url
def __str__(self):
return f"Otsikko: {self.otsikko} \n Url: {self.url} "
| class Lukuvinkki:
def __init__(self, otsikko, url):
self.otsikko = otsikko
self.url = url
def get_otsikko(self):
return self.otsikko
def get_linkki(self):
return self.url
def __str__(self):
return f'Otsikko: {self.otsikko} \n Url: {self.url} ' |
def make_readable(seconds: int):
if seconds <= 359999:
hours = seconds // (60*60)
minutes = seconds % (60*60) // 60
seconds = seconds % 60
return '{:02}:{:02}:{:02}'.format(hours, minutes, seconds)
else:
return "99:59:59"
print(make_readable(5))
print(make_readable(3500... | def make_readable(seconds: int):
if seconds <= 359999:
hours = seconds // (60 * 60)
minutes = seconds % (60 * 60) // 60
seconds = seconds % 60
return '{:02}:{:02}:{:02}'.format(hours, minutes, seconds)
else:
return '99:59:59'
print(make_readable(5))
print(make_readable(35... |
def load_bpi():
with open("bpi-rte.txt", "r") as f:
content = f.read()
pairs = content.split("\n\n")
pairs_done = {"YES": list(), "NO": list()}
for pair in pairs:
try:
text, hypothesis, entailment = pair.split("\n")
except ValueError:
# last pair
... | def load_bpi():
with open('bpi-rte.txt', 'r') as f:
content = f.read()
pairs = content.split('\n\n')
pairs_done = {'YES': list(), 'NO': list()}
for pair in pairs:
try:
(text, hypothesis, entailment) = pair.split('\n')
except ValueError:
(text, hypothesis, ... |
#!/usr/local/bin/python
# Code Fights Is Sum Consecutive 2 Problem
def isSumConsecutive2(n):
count = 0
nums = list(range(1, n))
for i in range(len(nums)):
for j in range(i + 1, len(nums)):
tmp = sum(nums[i:j])
if tmp == n:
count += 1
if tmp > n:
... | def is_sum_consecutive2(n):
count = 0
nums = list(range(1, n))
for i in range(len(nums)):
for j in range(i + 1, len(nums)):
tmp = sum(nums[i:j])
if tmp == n:
count += 1
if tmp > n:
break
return count
def main():
tests = [[1... |
P = 10**9 + 7
class MODCombination:
def __init__(self, n, p):
self.n = n
self.p = p # MOD
self.fac, self.ifac = self.make_fac_tables_mod_p(n, p)
@staticmethod
def make_fac_tables_mod_p(n, p):
assert n >= 1
fac = [0] * (n + 1) # _______ factorial: n!
ifac... | p = 10 ** 9 + 7
class Modcombination:
def __init__(self, n, p):
self.n = n
self.p = p
(self.fac, self.ifac) = self.make_fac_tables_mod_p(n, p)
@staticmethod
def make_fac_tables_mod_p(n, p):
assert n >= 1
fac = [0] * (n + 1)
ifac = [0] * (n + 1)
inv ... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
class global_var:
getpriv = False
newUser = ""
targetName = ""
newPassword = ""
ccache = ""
dcsync = False
def set_dcsync(status):
global_var.dcsync = status
def get_dcsync():
return global_var.dcsync
def set_priv(status):
global_var... | class Global_Var:
getpriv = False
new_user = ''
target_name = ''
new_password = ''
ccache = ''
dcsync = False
def set_dcsync(status):
global_var.dcsync = status
def get_dcsync():
return global_var.dcsync
def set_priv(status):
global_var.getpriv = status
def get_priv():
return... |
def CANDLE_TO_INFLUXDB_JSON(coinbase_product, candle):
return [
{
"measurement": coinbase_product,
"time": int(candle[0]),
"fields": {
"low": float(candle[1]),
"high": float(candle[2]),
"open": float(candle[3]),
... | def candle_to_influxdb_json(coinbase_product, candle):
return [{'measurement': coinbase_product, 'time': int(candle[0]), 'fields': {'low': float(candle[1]), 'high': float(candle[2]), 'open': float(candle[3]), 'close': float(candle[4]), 'volume': float(candle[5])}}] |
class Rectangle:
def __init__(self, l, w):
self.length = l
self.width = w
def area(self):
return self.length*self.width
aRectangle = Rectangle(2,10)
print(aRectangle.area())
| class Rectangle:
def __init__(self, l, w):
self.length = l
self.width = w
def area(self):
return self.length * self.width
a_rectangle = rectangle(2, 10)
print(aRectangle.area()) |
PuzzleInput = "PuzzleInput.txt"
f = open(PuzzleInput)
txt = f.readlines()
seatID = 0
for i in txt:
binary = i.replace("F", "0")
binary = binary.replace("B", "1")
binary = binary.replace("L", "0")
binary = binary.replace("R", "1")
row = int(binary[:7],2)
seat = int(binary[7:],2)
i... | puzzle_input = 'PuzzleInput.txt'
f = open(PuzzleInput)
txt = f.readlines()
seat_id = 0
for i in txt:
binary = i.replace('F', '0')
binary = binary.replace('B', '1')
binary = binary.replace('L', '0')
binary = binary.replace('R', '1')
row = int(binary[:7], 2)
seat = int(binary[7:], 2)
if seatID... |
def metade(n=0):
res = n / 2
return res
def dobro(n=0):
res = n * 2
return res
def aumentar(n=0, taxa=0):
res = n + (n * taxa/100)
return res
def diminuir(n=0, taxa=0):
res = n - (n * taxa/100)
return res
def virgula(n=0, moed='R$'):
return f'{moed}{n:.2f}'.replace('.', '... | def metade(n=0):
res = n / 2
return res
def dobro(n=0):
res = n * 2
return res
def aumentar(n=0, taxa=0):
res = n + n * taxa / 100
return res
def diminuir(n=0, taxa=0):
res = n - n * taxa / 100
return res
def virgula(n=0, moed='R$'):
return f'{moed}{n:.2f}'.replace('.', ',') |
class ArrayQueue:
def __init__(self, max=10):
self._data = [None] * max
self._size = 0
self._front = 0
self._max = max
def enqueue(self, e):
self._data[(self._front + self._size) % self._max] = e
self._size += 1
def dequeue(self):
rst, self._data[sel... | class Arrayqueue:
def __init__(self, max=10):
self._data = [None] * max
self._size = 0
self._front = 0
self._max = max
def enqueue(self, e):
self._data[(self._front + self._size) % self._max] = e
self._size += 1
def dequeue(self):
(rst, self._data[s... |
def main():
info('Entering Pump minibone script')
v=get_resource_value(name='JanMiniboneFlag')
info('get resource value {}'.format(v))
if get_resource_value(name='JanMiniboneFlag'):
info('Pump minibone')
close(description='Bone to Minibone')
open(description='M... | def main():
info('Entering Pump minibone script')
v = get_resource_value(name='JanMiniboneFlag')
info('get resource value {}'.format(v))
if get_resource_value(name='JanMiniboneFlag'):
info('Pump minibone')
close(description='Bone to Minibone')
open(description='Microbone to Minib... |
{
"targets": [
{
"include_dirs": [
"<!(node -e \"require('nan')\")",
"./lib/"
],
"cflags": ["-Wstack-protector", "-Wall"],
"target_name": "addon",
"sources": [ './lib/metaphone_ptbr.c', 'main.cpp' ]
}
]
} | {'targets': [{'include_dirs': ['<!(node -e "require(\'nan\')")', './lib/'], 'cflags': ['-Wstack-protector', '-Wall'], 'target_name': 'addon', 'sources': ['./lib/metaphone_ptbr.c', 'main.cpp']}]} |
def Partition(A, low, high):
Pivot = A[high-1]
i = low-1
for j in range(low, high-1):
if(A[j] < Pivot):
i+=1
A[i], A[j] = A[j], A[i]
A[i+1], A[high-1] = A[high-1], A[i+1]
return i+1
def QuickSort(A, low, high):
if(high-low > 1):
mid = Partition(A, low, high)
QuickSort(A, low, mid)
QuickSort(A, mid+... | def partition(A, low, high):
pivot = A[high - 1]
i = low - 1
for j in range(low, high - 1):
if A[j] < Pivot:
i += 1
(A[i], A[j]) = (A[j], A[i])
(A[i + 1], A[high - 1]) = (A[high - 1], A[i + 1])
return i + 1
def quick_sort(A, low, high):
if high - low > 1:
... |
class Solution:
def longestDecomposition(self, text: str) -> int:
l = 0
r = len(text)-1
l_stack = []
r_stack = []
count = 0
while r > l:
l_stack += [text[l]]
r_stack += [text[r]]
l_stack.sort()
r_stack.sort()
... | class Solution:
def longest_decomposition(self, text: str) -> int:
l = 0
r = len(text) - 1
l_stack = []
r_stack = []
count = 0
while r > l:
l_stack += [text[l]]
r_stack += [text[r]]
l_stack.sort()
r_stack.sort()
... |
# -*- coding: UTF-8 -*-
logger.info("Loading 0 objects to table checkdata_problem...")
# fields: id, owner_type, owner_id, user, checker, message
loader.flush_deferred_objects()
| logger.info('Loading 0 objects to table checkdata_problem...')
loader.flush_deferred_objects() |
# Python Week-7 Day-48
# Python Scope
# A variable created inside a function is available inside that function
print("\n-----")
def myfunc():
x = "Python Scope"
print (x)
myfunc()
print("\n-----")
# The local variable can be accessed from
# a function within the function.
def myfunc1():
xx = "Call Me"
... | print('\n-----')
def myfunc():
x = 'Python Scope'
print(x)
myfunc()
print('\n-----')
def myfunc1():
xx = 'Call Me'
def myfunc2():
print(xx)
myfunc2()
myfunc1()
print('\n-----')
y = 'Global Variable'
def my_global():
global yy
yy = 'variable inside function '
print(y, ' => ins... |
# -*- coding: utf-8 -*-
extensions = [
'jupyter_sphinx', 'jupyterlite_sphinx', 'sphinx.ext.autodoc', 'sphinx.ext.coverage', 'sphinx.ext.napoleon','sphinx.ext.todo', 'sphinx.ext.viewcode'
]
templates_path = ['_templates']
jupyterlite_config = "jupyterlite_config.json"
def setup(app):
app.add_css_file("main_s... | extensions = ['jupyter_sphinx', 'jupyterlite_sphinx', 'sphinx.ext.autodoc', 'sphinx.ext.coverage', 'sphinx.ext.napoleon', 'sphinx.ext.todo', 'sphinx.ext.viewcode']
templates_path = ['_templates']
jupyterlite_config = 'jupyterlite_config.json'
def setup(app):
app.add_css_file('main_stylesheet.css')
master_doc = 'in... |
TOKEN = 'YOUR_BOT_TOKEN_HERE'
BASE_URL = 'https://api.telegram.org/bot' + TOKEN + '/'
WIKIMAPIA_API_KEY = 'WIKIMAPIA_API_KEY_HERE'
| token = 'YOUR_BOT_TOKEN_HERE'
base_url = 'https://api.telegram.org/bot' + TOKEN + '/'
wikimapia_api_key = 'WIKIMAPIA_API_KEY_HERE' |
jolts = set()
max_jolt = 0
try:
while True:
num = int(input())
max_jolt = max(max_jolt, num)
jolts.add(num)
except EOFError:
pass
target_jolt = max_jolt + 3
jolts.add(target_jolt)
arrs = [0] * (target_jolt + 1)
arrs[0] = 1
for i in range(1, target_jolt + 1):
if i in jolts:
... | jolts = set()
max_jolt = 0
try:
while True:
num = int(input())
max_jolt = max(max_jolt, num)
jolts.add(num)
except EOFError:
pass
target_jolt = max_jolt + 3
jolts.add(target_jolt)
arrs = [0] * (target_jolt + 1)
arrs[0] = 1
for i in range(1, target_jolt + 1):
if i in jolts:
ar... |
inputfile = open('input.txt','r').readlines()
for i in range(len(inputfile)):
inputfile[i] = inputfile[i].strip('\n')
# Notes: DICTIONARY, edge cases eg: contain no other bags
part = 2 # 1 or 2
answer = []
if part == 1:
bagDict = {}
for i in inputfile:
lineList = i.split(" ")
key = ""
... | inputfile = open('input.txt', 'r').readlines()
for i in range(len(inputfile)):
inputfile[i] = inputfile[i].strip('\n')
part = 2
answer = []
if part == 1:
bag_dict = {}
for i in inputfile:
line_list = i.split(' ')
key = ''
if lineList[4] == 'no':
pass
else:
... |
while True:
L,R=map(int,input().split())
if L==R==0:break
print(L+R)
| while True:
(l, r) = map(int, input().split())
if L == R == 0:
break
print(L + R) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 Naomasa Matsubayashi
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation t... | def get_header(name, header_version):
return '/*\n * Copyright (c) 2021 Naomasa Matsubayashi\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the "Software"), to deal\n * in the Software without restriction, including witho... |
def collatz(n):
result = [str(n)]
while n > 1:
if n % 2 == 0:
n /= 2
else:
n = (3 * n) + 1
result.append(str(n))
return '->'.join(result)
| def collatz(n):
result = [str(n)]
while n > 1:
if n % 2 == 0:
n /= 2
else:
n = 3 * n + 1
result.append(str(n))
return '->'.join(result) |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | def load_arguments(self, _):
with self.argument_context('communication update') as c:
c.argument('location', validator=None)
with self.argument_context('communication identity issue-access-token') as c:
c.argument('userid', options_list=['--userid', '-u'], type=str, help='ACS identifier')
... |
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