content
stringlengths 7
1.05M
| fixed_cases
stringlengths 1
1.28M
|
|---|---|
# https://www.facebook.com/hackercup/problem/169401886867367/
__author__ = "Moonis Javed"
__email__ = "monis.javed@gmail.com"
def numberOfDays(arr):
arr = sorted(arr)
n = 0
while len(arr) > 0:
k = arr[-1]
w = k
del arr[-1]
while w <= 50:
try:
del arr[0]
w += k
except:
break
if w > 50:
n += 1
return n
if __name__ == "__main__":
f = open("input2.txt").read().split("\n")
writeF = open("output2.txt","w")
n = int(f[0])
del f[0]
for i in range(1,n+1):
t = int(f[0])
del f[0]
arr =[None]*t
for j in xrange(t):
arr[j] = int(f[0])
del f[0]
writeF.write("Case #%d: %d\n" % (i,numberOfDays(arr)))
# print i
| __author__ = 'Moonis Javed'
__email__ = 'monis.javed@gmail.com'
def number_of_days(arr):
arr = sorted(arr)
n = 0
while len(arr) > 0:
k = arr[-1]
w = k
del arr[-1]
while w <= 50:
try:
del arr[0]
w += k
except:
break
if w > 50:
n += 1
return n
if __name__ == '__main__':
f = open('input2.txt').read().split('\n')
write_f = open('output2.txt', 'w')
n = int(f[0])
del f[0]
for i in range(1, n + 1):
t = int(f[0])
del f[0]
arr = [None] * t
for j in xrange(t):
arr[j] = int(f[0])
del f[0]
writeF.write('Case #%d: %d\n' % (i, number_of_days(arr))) |
class Robot:
def __init__(self, left="MOTOR4", right="MOTOR2", config=1):
print("init")
def forward(self):
print("forward")
def backward(self):
print("backward")
def left(self):
print("left")
def right(self):
print("right")
def stop(self):
print("stop")
| class Robot:
def __init__(self, left='MOTOR4', right='MOTOR2', config=1):
print('init')
def forward(self):
print('forward')
def backward(self):
print('backward')
def left(self):
print('left')
def right(self):
print('right')
def stop(self):
print('stop') |
"""Exceptions."""
class OandaError(Exception):
""" Generic error class, catches oanda response errors
"""
def __init__(self, error_response):
self.error_response = error_response
msg = f"OANDA API returned error code {error_response['code']} ({error_response['message']}) "
super(OandaError, self).__init__(msg)
class BadEnvironment(Exception):
"""environment should be: sandbox, practice or live."""
def __init__(self, environment):
msg = f"Environment '{environment}' does not exist"
super(BadEnvironment, self).__init__(msg)
| """Exceptions."""
class Oandaerror(Exception):
""" Generic error class, catches oanda response errors
"""
def __init__(self, error_response):
self.error_response = error_response
msg = f"OANDA API returned error code {error_response['code']} ({error_response['message']}) "
super(OandaError, self).__init__(msg)
class Badenvironment(Exception):
"""environment should be: sandbox, practice or live."""
def __init__(self, environment):
msg = f"Environment '{environment}' does not exist"
super(BadEnvironment, self).__init__(msg) |
'''
Created on 1.12.2016
@author: Darren
''''''
Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below.
For example, given the following triangle
[
[2],
[3,4],
[6,5,7],
[4,1,8,3]
]
The minimum path sum from top to bottom is 11 (i.e., 2 + 3 + 5 + 1 = 11).
Note:
Bonus point if you are able to do this using only O(n) extra space, where n is the total number of rows in the triangle.
"
'''
| """
Created on 1.12.2016
@author: Darren
Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below.
For example, given the following triangle
[
[2],
[3,4],
[6,5,7],
[4,1,8,3]
]
The minimum path sum from top to bottom is 11 (i.e., 2 + 3 + 5 + 1 = 11).
Note:
Bonus point if you are able to do this using only O(n) extra space, where n is the total number of rows in the triangle.
"
""" |
#Represents an object
class Object:
def __init__(self,ID,name):
self.name = name
self.ID = ID
self.importance = 1
#keep track of the events in which this file was the object
self.modifiedIn = []
self.addedIn = []
self.deletedIn = []
def getName(self):
return self.name
def getID(self):
return self.ID
def getImportance(self):
return self.importance
#Add an event to the right list according to the modifier
#@param event : Event object
#@param modifier : "Added" "Deleted" or "Modified"
def addEvent(self, event, modifier):
if modifier == "Added":
if(not event in self.addedIn):
self.addedIn.append(event)
elif modifier == "Deleted":
if(not event in self.deletedIn):
self.deletedIn.append(event)
else:
if(not event in self.modifiedIn):
self.modifiedIn.append(event)
#Function that calculates the importance of a object based on a ratio:
#the number of months in which it was changed / the number of months is exists
#@param firstAndLastTimeStamp = tuple with the first timestamp of the log and the last
def calculateImportanceRatio(self,firstAndLastTimeStamp):
addedTimestamps = []
for event in self.addedIn:
addedTimestamps.append(event.getTimestamp())
addedTimestamps.sort()
deletedTimestamps = []
for event in self.deletedIn:
deletedTimestamps.append(event.getTimestamp())
deletedTimestamps.sort()
timestamps = []
for event in self.modifiedIn:
timestamps.append(event.getTimestamp())
for event in self.addedIn:
timestamps.append(event.getTimestamp())
numberOfMonthsExistence = 0
numberOfMonthsChanged = 0
iteratorAdded = 0
iteratorDeleted = 0
if(not addedTimestamps):
beginstamp = firstAndLastTimeStamp[0]
#only 2 scenarios possible : 0 or 1 deleted timestamp
if(not deletedTimestamps):
endstamp = firstAndLastTimeStamp[1]
else:
endstamp = deletedTimestamps[0]
numberOfMonthsExistence += self.calculateNumberOfMonthsExistence(beginstamp,endstamp)
numberOfMonthsChanged += self.calculateNumberOfMonthsChanged(beginstamp,endstamp,timestamps)
while(iteratorAdded < len(addedTimestamps)):
beginstamp = addedTimestamps[iteratorAdded]
iteratorAdded += 1
if(iteratorDeleted == len(deletedTimestamps)):
#all deleted stamps are done
endstamp = firstAndLastTimeStamp[1]
else:
endstamp = deletedTimestamps[iteratorDeleted]
iteratorDeleted += 1
if(endstamp < beginstamp):
beginstamp = firstAndLastTimeStamp[0]
iteratorAdded -= 1
numberOfMonthsExistence += self.calculateNumberOfMonthsExistence(beginstamp,endstamp)
numberOfMonthsChanged += self.calculateNumberOfMonthsChanged(beginstamp,endstamp,timestamps)
importance = numberOfMonthsChanged/numberOfMonthsExistence
#TO DO: what if importance = 0 ?
if importance == 0 :
importance = 0.00001
self.importance = importance
#calculate how many months this object exists between these 2 timestamps
def calculateNumberOfMonthsExistence(self,beginstamp, endstamp):
numberOfMonths = abs(endstamp.year - beginstamp.year) * 12 + abs(endstamp.month - beginstamp.month)
numberOfMonths += 1
return numberOfMonths
#calculate in how many months between begin and end the object was changed
#@param timestamps = list of timestamps when the file was committed
def calculateNumberOfMonthsChanged(self,beginstamp,endstamp,timestamps):
timestamps.sort()
numberOfMonths = 0
currentMonth = -1
currentYear = -1
for stamp in timestamps:
#only consider the timestamps between the timespan
if((stamp >= beginstamp)and(stamp <= endstamp)):
if((stamp.month != currentMonth) or (currentYear != stamp.year)):
currentMonth = stamp.month
currentYear = stamp.year
numberOfMonths += 1
return numberOfMonths
| class Object:
def __init__(self, ID, name):
self.name = name
self.ID = ID
self.importance = 1
self.modifiedIn = []
self.addedIn = []
self.deletedIn = []
def get_name(self):
return self.name
def get_id(self):
return self.ID
def get_importance(self):
return self.importance
def add_event(self, event, modifier):
if modifier == 'Added':
if not event in self.addedIn:
self.addedIn.append(event)
elif modifier == 'Deleted':
if not event in self.deletedIn:
self.deletedIn.append(event)
elif not event in self.modifiedIn:
self.modifiedIn.append(event)
def calculate_importance_ratio(self, firstAndLastTimeStamp):
added_timestamps = []
for event in self.addedIn:
addedTimestamps.append(event.getTimestamp())
addedTimestamps.sort()
deleted_timestamps = []
for event in self.deletedIn:
deletedTimestamps.append(event.getTimestamp())
deletedTimestamps.sort()
timestamps = []
for event in self.modifiedIn:
timestamps.append(event.getTimestamp())
for event in self.addedIn:
timestamps.append(event.getTimestamp())
number_of_months_existence = 0
number_of_months_changed = 0
iterator_added = 0
iterator_deleted = 0
if not addedTimestamps:
beginstamp = firstAndLastTimeStamp[0]
if not deletedTimestamps:
endstamp = firstAndLastTimeStamp[1]
else:
endstamp = deletedTimestamps[0]
number_of_months_existence += self.calculateNumberOfMonthsExistence(beginstamp, endstamp)
number_of_months_changed += self.calculateNumberOfMonthsChanged(beginstamp, endstamp, timestamps)
while iteratorAdded < len(addedTimestamps):
beginstamp = addedTimestamps[iteratorAdded]
iterator_added += 1
if iteratorDeleted == len(deletedTimestamps):
endstamp = firstAndLastTimeStamp[1]
else:
endstamp = deletedTimestamps[iteratorDeleted]
iterator_deleted += 1
if endstamp < beginstamp:
beginstamp = firstAndLastTimeStamp[0]
iterator_added -= 1
number_of_months_existence += self.calculateNumberOfMonthsExistence(beginstamp, endstamp)
number_of_months_changed += self.calculateNumberOfMonthsChanged(beginstamp, endstamp, timestamps)
importance = numberOfMonthsChanged / numberOfMonthsExistence
if importance == 0:
importance = 1e-05
self.importance = importance
def calculate_number_of_months_existence(self, beginstamp, endstamp):
number_of_months = abs(endstamp.year - beginstamp.year) * 12 + abs(endstamp.month - beginstamp.month)
number_of_months += 1
return numberOfMonths
def calculate_number_of_months_changed(self, beginstamp, endstamp, timestamps):
timestamps.sort()
number_of_months = 0
current_month = -1
current_year = -1
for stamp in timestamps:
if stamp >= beginstamp and stamp <= endstamp:
if stamp.month != currentMonth or currentYear != stamp.year:
current_month = stamp.month
current_year = stamp.year
number_of_months += 1
return numberOfMonths |
def uint(x):
# casts x to unsigned int (1 byte)
return x & 0xff
def chunkify(string, size):
# breaks up string into chunks of size
chunks = []
for i in range(0, len(string), size):
chunks.append(string[i:i + size])
return chunks
def gen_rcons(rounds):
# generates and returns round constants
# the round constants don't depend on the
# key so these constants could have been
# hard coded, but I wanted to build it anyway
rcons = []
for i in range(rounds):
value = 0
if i + 1 > 1:
if rcons[i - 1] >= 0x80:
value = uint((2 * rcons[i - 1]) ^ 0x11b)
else:
value = uint(2 * rcons[i - 1])
else:
value = 1
rcons.append(value)
return list(map(lambda x: x << 24, rcons))
def generate_round_keys(key, rounds, sbox):
# Generates round keys based on main key
# basic variables used for looping, etc.
key_size = len(key) * 8
R = rounds + 1
rcons = gen_rcons(rounds) # get round key constants
N = key_size // 32
# split key into 32 bit words and parse to int
K = [int(k.encode("utf-8").hex(), 16) for k in chunkify(key, 4)]
W = [0] * (4 * R)
# main loop to generate expanded round subkeys
for i in range(4 * R):
if i < N:
W[i] = K[i]
elif i >= N and i % N == 0:
word_str = hex(W[i - 1])[2:].zfill(8) # turn int to 8 digit hex
rot = word_str[2:] + word_str[:2] # rotate left 1 byte
hex_bytes = chunkify(rot, 2) # split into byte chunks
subvals = [sbox(hexb) for hexb in hex_bytes] # sub out hex bytes with s-box
sval = (subvals[0] << 24) \
+ (subvals[1] << 16) \
+ (subvals[2] << 8) \
+ subvals[3] # concat hex bytes and parse to 32 bit int
W[i] = W[i - N] ^ sval ^ rcons[(i // N) - 1]
elif i >= N and N > 6 and i % N == 4:
word_str = hex(W[i - 1])[2:].zfill(8) # turn int to 8 digit hex
hex_bytes = chunkify(word_str, 2) # split into byte chunks
subvals = [sbox(hexb) for hexb in hex_bytes] # sub out hex bytes with s-box
sval = (subvals[0] << 24) \
+ (subvals[1] << 16) \
+ (subvals[2] << 8) \
+ subvals[3] # concat hex bytes and parse to 32 bit int
W[i] = W[i - N] ^ sval
else:
W[i] = W[i - N] ^ W[i - 1]
# subkeys are all 128 bits, but each entry is 32 bits
# so combine all entries by groups of 4 for later use
return [tuple(W[i:i + 4]) for i in range(0, len(W), 4)]
def add_round_key(state, round_key):
# adds each byte of the round key to the
# respective byte of the state
key = []
# round key is a tuple of 4, 32 bit ints
for rk in round_key:
hx = hex(rk)[2:].zfill(8) # turn int to hex
# add each byte to the key list as an int
key += [int(hx[i:i + 2], 16) for i in range(0, len(hx), 2)]
for i in range(len(state)):
# run through the state and add each byte to the
# respective byte in the key
key_state = [key[j] for j in range(i, len(key), 4)]
state[i] = [sv ^ kv for sv, kv in zip(state[i], key_state)]
return state
| def uint(x):
return x & 255
def chunkify(string, size):
chunks = []
for i in range(0, len(string), size):
chunks.append(string[i:i + size])
return chunks
def gen_rcons(rounds):
rcons = []
for i in range(rounds):
value = 0
if i + 1 > 1:
if rcons[i - 1] >= 128:
value = uint(2 * rcons[i - 1] ^ 283)
else:
value = uint(2 * rcons[i - 1])
else:
value = 1
rcons.append(value)
return list(map(lambda x: x << 24, rcons))
def generate_round_keys(key, rounds, sbox):
key_size = len(key) * 8
r = rounds + 1
rcons = gen_rcons(rounds)
n = key_size // 32
k = [int(k.encode('utf-8').hex(), 16) for k in chunkify(key, 4)]
w = [0] * (4 * R)
for i in range(4 * R):
if i < N:
W[i] = K[i]
elif i >= N and i % N == 0:
word_str = hex(W[i - 1])[2:].zfill(8)
rot = word_str[2:] + word_str[:2]
hex_bytes = chunkify(rot, 2)
subvals = [sbox(hexb) for hexb in hex_bytes]
sval = (subvals[0] << 24) + (subvals[1] << 16) + (subvals[2] << 8) + subvals[3]
W[i] = W[i - N] ^ sval ^ rcons[i // N - 1]
elif i >= N and N > 6 and (i % N == 4):
word_str = hex(W[i - 1])[2:].zfill(8)
hex_bytes = chunkify(word_str, 2)
subvals = [sbox(hexb) for hexb in hex_bytes]
sval = (subvals[0] << 24) + (subvals[1] << 16) + (subvals[2] << 8) + subvals[3]
W[i] = W[i - N] ^ sval
else:
W[i] = W[i - N] ^ W[i - 1]
return [tuple(W[i:i + 4]) for i in range(0, len(W), 4)]
def add_round_key(state, round_key):
key = []
for rk in round_key:
hx = hex(rk)[2:].zfill(8)
key += [int(hx[i:i + 2], 16) for i in range(0, len(hx), 2)]
for i in range(len(state)):
key_state = [key[j] for j in range(i, len(key), 4)]
state[i] = [sv ^ kv for (sv, kv) in zip(state[i], key_state)]
return state |
def modulus_three(n):
r = n % 3
if r == 0:
print("Multiple of 3")
elif r == 1:
print("Remainder 1")
else:
assert r == 2, "Remainder is not 2"
print("Remainder 2")
def modulus_four(n):
r = n % 4
if r == 0:
print("Multiple of 4")
elif r == 1:
print("Remainder 1")
elif r == 2:
print("Remainder 2")
elif r == 3:
print("Remainder 3")
else:
assert False, "This should never happen"
if __name__ == '__main__':
print(modulus_four(5)) | def modulus_three(n):
r = n % 3
if r == 0:
print('Multiple of 3')
elif r == 1:
print('Remainder 1')
else:
assert r == 2, 'Remainder is not 2'
print('Remainder 2')
def modulus_four(n):
r = n % 4
if r == 0:
print('Multiple of 4')
elif r == 1:
print('Remainder 1')
elif r == 2:
print('Remainder 2')
elif r == 3:
print('Remainder 3')
else:
assert False, 'This should never happen'
if __name__ == '__main__':
print(modulus_four(5)) |
""" Contains classes to handle batch data components """
class ComponentDescriptor:
""" Class for handling one component item """
def __init__(self, component, default=None):
self._component = component
self._default = default
def __get__(self, instance, cls):
try:
if instance.data is None:
out = self._default
elif instance.pos is None:
out = instance.data[self._component]
else:
pos = instance.pos[self._component]
data = instance.data[self._component]
out = data[pos] if data is not None else self._default
except IndexError:
out = self._default
return out
def __set__(self, instance, value):
if instance.pos is None:
new_data = list(instance.data) if instance.data is not None else []
new_data = new_data + [None for _ in range(max(len(instance.components) - len(new_data), 0))]
new_data[self._component] = value
instance.data = tuple(new_data)
else:
pos = instance.pos[self._component]
instance.data[self._component][pos] = value
class BaseComponentsTuple:
""" Base class for a component tuple """
components = None
def __init__(self, data=None, pos=None):
if isinstance(data, BaseComponentsTuple):
self.data = data.data
else:
self.data = data
if pos is not None and not isinstance(pos, list):
pos = [pos for _ in self.components]
self.pos = pos
def __str__(self):
s = ''
for comp in self.components:
d = getattr(self, comp)
s += comp + '\n' + str(d) + '\n'
return s
def as_tuple(self, components=None):
""" Return components data as a tuple """
components = tuple(components or self.components)
return tuple(getattr(self, comp) for comp in components)
class MetaComponentsTuple(type):
""" Class factory for a component tuple """
def __init__(cls, *args, **kwargs):
_ = kwargs
super().__init__(*args, (BaseComponentsTuple,), {})
def __new__(mcs, name, components):
comp_class = super().__new__(mcs, name, (BaseComponentsTuple,), {})
comp_class.components = components
for i, comp in enumerate(components):
setattr(comp_class, comp, ComponentDescriptor(i))
globals()[comp_class.__name__] = comp_class
return comp_class
| """ Contains classes to handle batch data components """
class Componentdescriptor:
""" Class for handling one component item """
def __init__(self, component, default=None):
self._component = component
self._default = default
def __get__(self, instance, cls):
try:
if instance.data is None:
out = self._default
elif instance.pos is None:
out = instance.data[self._component]
else:
pos = instance.pos[self._component]
data = instance.data[self._component]
out = data[pos] if data is not None else self._default
except IndexError:
out = self._default
return out
def __set__(self, instance, value):
if instance.pos is None:
new_data = list(instance.data) if instance.data is not None else []
new_data = new_data + [None for _ in range(max(len(instance.components) - len(new_data), 0))]
new_data[self._component] = value
instance.data = tuple(new_data)
else:
pos = instance.pos[self._component]
instance.data[self._component][pos] = value
class Basecomponentstuple:
""" Base class for a component tuple """
components = None
def __init__(self, data=None, pos=None):
if isinstance(data, BaseComponentsTuple):
self.data = data.data
else:
self.data = data
if pos is not None and (not isinstance(pos, list)):
pos = [pos for _ in self.components]
self.pos = pos
def __str__(self):
s = ''
for comp in self.components:
d = getattr(self, comp)
s += comp + '\n' + str(d) + '\n'
return s
def as_tuple(self, components=None):
""" Return components data as a tuple """
components = tuple(components or self.components)
return tuple((getattr(self, comp) for comp in components))
class Metacomponentstuple(type):
""" Class factory for a component tuple """
def __init__(cls, *args, **kwargs):
_ = kwargs
super().__init__(*args, (BaseComponentsTuple,), {})
def __new__(mcs, name, components):
comp_class = super().__new__(mcs, name, (BaseComponentsTuple,), {})
comp_class.components = components
for (i, comp) in enumerate(components):
setattr(comp_class, comp, component_descriptor(i))
globals()[comp_class.__name__] = comp_class
return comp_class |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 7 03:26:16 2019
@author: sodatab
MITx: 6.00.1x
"""
"""
03.6-Finger How Many
---------------------
Consider the following sequence of expressions:
animals = { 'a': ['aardvark'], 'b': ['baboon'], 'c': ['coati']}
animals['d'] = ['donkey']
animals['d'].append('dog')
animals['d'].append('dingo')
We want to write some simple procedures that work on dictionaries to return information.
First, write a procedure, called how_many, which returns the sum of the number of values associated with a dictionary.
"""
"""Answer Script:"""
def how_many(aDict):
'''
aDict: A dictionary, where all the values are lists.
returns: int, how many values are in the dictionary.
'''
sum = 0
for i in aDict.values():
sum += len(i)
return sum
| """
Created on Mon Oct 7 03:26:16 2019
@author: sodatab
MITx: 6.00.1x
"""
"\n03.6-Finger How Many\n---------------------\n Consider the following sequence of expressions:\n\nanimals = { 'a': ['aardvark'], 'b': ['baboon'], 'c': ['coati']}\n\nanimals['d'] = ['donkey']\nanimals['d'].append('dog')\nanimals['d'].append('dingo')\n\nWe want to write some simple procedures that work on dictionaries to return information.\n\nFirst, write a procedure, called how_many, which returns the sum of the number of values associated with a dictionary.\n"
'Answer Script:'
def how_many(aDict):
"""
aDict: A dictionary, where all the values are lists.
returns: int, how many values are in the dictionary.
"""
sum = 0
for i in aDict.values():
sum += len(i)
return sum |
BASE_FILES = "C:\\Users\\Dani\\repos-git\\shexerp3\\test\\t_files\\"
BASE_FILES_GENERAL = BASE_FILES + "general\\"
G1 = BASE_FILES + "t_graph_1.ttl"
G1_NT = BASE_FILES + "t_graph_1.nt"
G1_TSVO_SPO = BASE_FILES + "t_graph_1.tsv"
G1_JSON_LD = BASE_FILES + "t_graph_1.json"
G1_XML = BASE_FILES + "t_graph_1.xml"
G1_N3 = BASE_FILES + "t_graph_1.n3"
G1_ALL_CLASSES_NO_COMMENTS = BASE_FILES_GENERAL + "g1_all_classes_no_comments.shex"
# PREFIX xml: <http://www.w3.org/XML/1998/namespace/>
# PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
# PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
# PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
# PREFIX foaf: <http://xmlns.com/foaf/0.1/>
# NAMESPACES_WITH_FOAF_AND_EX = {"http://example.org/" : "ex",
# "http://www.w3.org/XML/1998/namespace/" : "xml",
# "http://www.w3.org/1999/02/22-rdf-syntax-ns#": "rdf",
# "http://www.w3.org/2000/01/rdf-schema#" : "rdfs",
# "http://www.w3.org/2001/XMLSchema#": "xsd",
# "http://xmlns.com/foaf/0.1/": "foaf"
# }
def default_namespaces():
return {"http://example.org/": "ex",
"http://www.w3.org/XML/1998/namespace/": "xml",
"http://www.w3.org/1999/02/22-rdf-syntax-ns#": "rdf",
"http://www.w3.org/2000/01/rdf-schema#": "rdfs",
"http://www.w3.org/2001/XMLSchema#": "xsd",
"http://xmlns.com/foaf/0.1/": "foaf"
}
| base_files = 'C:\\Users\\Dani\\repos-git\\shexerp3\\test\\t_files\\'
base_files_general = BASE_FILES + 'general\\'
g1 = BASE_FILES + 't_graph_1.ttl'
g1_nt = BASE_FILES + 't_graph_1.nt'
g1_tsvo_spo = BASE_FILES + 't_graph_1.tsv'
g1_json_ld = BASE_FILES + 't_graph_1.json'
g1_xml = BASE_FILES + 't_graph_1.xml'
g1_n3 = BASE_FILES + 't_graph_1.n3'
g1_all_classes_no_comments = BASE_FILES_GENERAL + 'g1_all_classes_no_comments.shex'
def default_namespaces():
return {'http://example.org/': 'ex', 'http://www.w3.org/XML/1998/namespace/': 'xml', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#': 'rdf', 'http://www.w3.org/2000/01/rdf-schema#': 'rdfs', 'http://www.w3.org/2001/XMLSchema#': 'xsd', 'http://xmlns.com/foaf/0.1/': 'foaf'} |
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")
def deps():
excludes = native.existing_rules().keys()
if "bazel_installer" not in excludes:
http_file(
name = "bazel_installer",
downloaded_file_path = "bazel-installer.sh",
sha256 = "bd7a3a583a18640f58308c26e654239d412adaa833b6b6a7b57a216ab62fabc2",
urls = [
"https://releases.bazel.build/4.0.0/release/bazel-4.0.0-installer-linux-x86_64.sh",
"https://github.com/bazelbuild/bazel/releases/download/4.0.0/bazel-4.0.0-installer-linux-x86_64.sh",
],
)
| load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_file')
def deps():
excludes = native.existing_rules().keys()
if 'bazel_installer' not in excludes:
http_file(name='bazel_installer', downloaded_file_path='bazel-installer.sh', sha256='bd7a3a583a18640f58308c26e654239d412adaa833b6b6a7b57a216ab62fabc2', urls=['https://releases.bazel.build/4.0.0/release/bazel-4.0.0-installer-linux-x86_64.sh', 'https://github.com/bazelbuild/bazel/releases/download/4.0.0/bazel-4.0.0-installer-linux-x86_64.sh']) |
#!/usr/bin/python
def test_vars():
"""test variables in python"""
int_var = 5
string_var = "hah"
assert int_var == 5
assert string_var == 'hah'
print("test vars is done")
if __name__ == "__main__":
test_vars()
| def test_vars():
"""test variables in python"""
int_var = 5
string_var = 'hah'
assert int_var == 5
assert string_var == 'hah'
print('test vars is done')
if __name__ == '__main__':
test_vars() |
class Programmer:
def __init__(self, name, language, skills):
self.name = name
self.language = language
self.skills = skills
def watch_course(self, course_name, language, skills_earned):
if not self.language == language:
return f"{self.name} does not know {language}"
self.skills += skills_earned
return f"{self.name} watched {course_name}"
def change_language(self, new_language, skills_needed):
if not skills_needed <= self.skills:
needed_skills = skills_needed - self.skills
return f"{self.name} needs {needed_skills} more skills"
if self.language == new_language:
return f"{self.name} already knows {self.language}"
previous_language = self.language
self.language = new_language
return f"{self.name} switched from {previous_language} to {new_language}" | class Programmer:
def __init__(self, name, language, skills):
self.name = name
self.language = language
self.skills = skills
def watch_course(self, course_name, language, skills_earned):
if not self.language == language:
return f'{self.name} does not know {language}'
self.skills += skills_earned
return f'{self.name} watched {course_name}'
def change_language(self, new_language, skills_needed):
if not skills_needed <= self.skills:
needed_skills = skills_needed - self.skills
return f'{self.name} needs {needed_skills} more skills'
if self.language == new_language:
return f'{self.name} already knows {self.language}'
previous_language = self.language
self.language = new_language
return f'{self.name} switched from {previous_language} to {new_language}' |
#returns the value to the variable #
x = 900
print(x)
#print will take the argument x as the value in the variable #
| x = 900
print(x) |
def add(tree, x):
if not tree:
tree.extend([x, None, None])
print('DONE')
return
key = tree[0]
if x == key:
print('ALREADY')
elif x < key:
left = tree[1]
if left == None:
tree[1] = [x, None, None]
print('DONE')
else:
add(left, x)
elif x > key:
right = tree[2]
if right == None:
tree[2] = [x, None, None]
print('DONE')
else:
add(right, x)
def find(tree, x):
if not tree:
return False
key = tree[0]
if x == key:
return True
elif x < key:
left = tree[1]
if left == None:
return False
else:
return find(left, x)
elif x > key:
right = tree[2]
if right == None:
return False
else:
return find(right, x)
def printtree(tree, count=0):
# if not tree:
# return
if tree[1]:
printtree(tree[1], count + 1)
print(f"{''.join('.' * count)}{tree[0]}")
if tree[2]:
printtree(tree[2], count + 1)
tree = []
with open('input.txt', 'r', encoding='utf-8') as file:
string = file.readline().strip()
while string != '':
line = [i for i in string.split()]
if line[0] == 'ADD':
add(tree, int(line[1]))
elif line[0] == 'SEARCH':
if find(tree, int(line[1])):
print('YES')
else:
print('NO')
elif line[0] == 'PRINTTREE':
printtree(tree)
string = file.readline().strip()
| def add(tree, x):
if not tree:
tree.extend([x, None, None])
print('DONE')
return
key = tree[0]
if x == key:
print('ALREADY')
elif x < key:
left = tree[1]
if left == None:
tree[1] = [x, None, None]
print('DONE')
else:
add(left, x)
elif x > key:
right = tree[2]
if right == None:
tree[2] = [x, None, None]
print('DONE')
else:
add(right, x)
def find(tree, x):
if not tree:
return False
key = tree[0]
if x == key:
return True
elif x < key:
left = tree[1]
if left == None:
return False
else:
return find(left, x)
elif x > key:
right = tree[2]
if right == None:
return False
else:
return find(right, x)
def printtree(tree, count=0):
if tree[1]:
printtree(tree[1], count + 1)
print(f"{''.join('.' * count)}{tree[0]}")
if tree[2]:
printtree(tree[2], count + 1)
tree = []
with open('input.txt', 'r', encoding='utf-8') as file:
string = file.readline().strip()
while string != '':
line = [i for i in string.split()]
if line[0] == 'ADD':
add(tree, int(line[1]))
elif line[0] == 'SEARCH':
if find(tree, int(line[1])):
print('YES')
else:
print('NO')
elif line[0] == 'PRINTTREE':
printtree(tree)
string = file.readline().strip() |
batch_size, num_samples, sample_rate = 32, 32000, 16000.0
# A Tensor of [batch_size, num_samples] mono PCM samples in the range [-1, 1].
pcm = tf.random.normal([batch_size, num_samples], dtype=tf.float32)
# A 1024-point STFT with frames of 64 ms and 75% overlap.
stfts = tf.signal.stft(pcm, frame_length=1024, frame_step=256,
fft_length=1024)
spectrograms = tf.abs(stfts)
# Warp the linear scale spectrograms into the mel-scale.
num_spectrogram_bins = stfts.shape[-1].value
lower_edge_hertz, upper_edge_hertz, num_mel_bins = 80.0, 7600.0, 80
linear_to_mel_weight_matrix = tf.signal.linear_to_mel_weight_matrix(
num_mel_bins, num_spectrogram_bins, sample_rate, lower_edge_hertz,
upper_edge_hertz)
mel_spectrograms = tf.tensordot(
spectrograms, linear_to_mel_weight_matrix, 1)
mel_spectrograms.set_shape(spectrograms.shape[:-1].concatenate(
linear_to_mel_weight_matrix.shape[-1:]))
# Compute a stabilized log to get log-magnitude mel-scale spectrograms.
log_mel_spectrograms = tf.math.log(mel_spectrograms + 1e-6)
# Compute MFCCs from log_mel_spectrograms and take the first 13.
mfccs = tf.signal.mfccs_from_log_mel_spectrograms(
log_mel_spectrograms)[..., :13] | (batch_size, num_samples, sample_rate) = (32, 32000, 16000.0)
pcm = tf.random.normal([batch_size, num_samples], dtype=tf.float32)
stfts = tf.signal.stft(pcm, frame_length=1024, frame_step=256, fft_length=1024)
spectrograms = tf.abs(stfts)
num_spectrogram_bins = stfts.shape[-1].value
(lower_edge_hertz, upper_edge_hertz, num_mel_bins) = (80.0, 7600.0, 80)
linear_to_mel_weight_matrix = tf.signal.linear_to_mel_weight_matrix(num_mel_bins, num_spectrogram_bins, sample_rate, lower_edge_hertz, upper_edge_hertz)
mel_spectrograms = tf.tensordot(spectrograms, linear_to_mel_weight_matrix, 1)
mel_spectrograms.set_shape(spectrograms.shape[:-1].concatenate(linear_to_mel_weight_matrix.shape[-1:]))
log_mel_spectrograms = tf.math.log(mel_spectrograms + 1e-06)
mfccs = tf.signal.mfccs_from_log_mel_spectrograms(log_mel_spectrograms)[..., :13] |
"""Top-level package for mynlp."""
__author__ = """Suneel Dondapati"""
__email__ = 'dsuneel1@gmail.com'
__version__ = '0.1.0'
| """Top-level package for mynlp."""
__author__ = 'Suneel Dondapati'
__email__ = 'dsuneel1@gmail.com'
__version__ = '0.1.0' |
"""
User Get Key Value Input Dictionary Start
"""
dic = {
"google": "google is provide job and internship.",
"amezon": "amezon is e-commerce store and cloud computing provider.",
"zoom": "zoom is provide video call system to connecting meeating.",
"microsoft": "microsoft is owner of windows and office software.."
}
# For beginner
print("google")
print("amezon")
print("zoom")
print("microsoft")
key = input("search detail of dectionary! \n")
print(dic[key.lower()])
# For advance
while True:
for index, item in dic.items():
print(index)
key = input("search detail of dectionary! \n")
print(dic[key.lower()])
if int(input("Press 1 to exit 0 to continue \n")):
break
"""
User Get Key Value Input Dictionary End
"""
| """
User Get Key Value Input Dictionary Start
"""
dic = {'google': 'google is provide job and internship.', 'amezon': 'amezon is e-commerce store and cloud computing provider.', 'zoom': 'zoom is provide video call system to connecting meeating.', 'microsoft': 'microsoft is owner of windows and office software..'}
print('google')
print('amezon')
print('zoom')
print('microsoft')
key = input('search detail of dectionary! \n')
print(dic[key.lower()])
while True:
for (index, item) in dic.items():
print(index)
key = input('search detail of dectionary! \n')
print(dic[key.lower()])
if int(input('Press 1 to exit 0 to continue \n')):
break
'\nUser Get Key Value Input Dictionary End\n' |
# Copyright 2016 Dave Kludt
#
# 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.
sample_product = {
"title": "Test",
"us_url": "http://us.test.com",
"uk_url": "http://uk.test.com",
"active": True,
"db_name": "test",
"require_region": True,
"doc_url": "http://doc.test.com",
"pitchfork_url": "https://pitchfork/url"
}
sample_limit = {
"product": "test",
"title": "Test",
"uri": "/limits",
"slug": "test",
"active": True,
"absolute_path": "test/path",
"absolute_type": "list",
"limit_key": "test_limit",
"value_key": "test_value"
}
sample_log = {
"queried": ["dns"],
"queried_by": "skeletor",
"region": "dfw",
"ddi": "123456",
'query_results': []
}
sample_auth_failure = {
'message': (
'<strong>Error!</strong> Authentication has failed due to'
' incorrect token or DDI. Please check the token and DDI '
'and try again.'
)
}
""" DNS Tests """
dns = {
"title": "DNS",
"us_url": "https://us.test.com",
"uk_url": "https://uk.test.com",
"active": True,
"db_name": "dns",
"require_region": True,
"doc_url": "https://doc.test.com",
"pitchfork_url": "https://pitchfork.url",
"limit_maps": []
}
dns_limit = {
"product": "dns",
"title": "Domains",
"uri": "/limits",
"slug": "domains",
"active": True,
"absolute_path": "limits.absolute",
"absolute_type": "dict",
"value_key": "",
"limit_key": "domains"
}
dns_limit_return = {
"limits": {
"rate": [
{
"regex": ".*/v\\d+\\.\\d+/(\\d+/domains/search).*",
"limit": [
{
"value": 20,
"verb": "GET",
"next-available": "2016-01-12T13:56:11.450Z",
"remaining": 20,
"unit": "MINUTE"
}
],
"uri": "*/domains/search*"
}
],
"absolute": {
"domains": 500,
"records per domain": 500
}
}
}
dns_list_return = {
"domains": [
{
"comment": "Test",
"updated": "2015-12-08T20:47:02.000+0000",
"name": "test.net",
"created": "2015-04-09T15:42:49.000+0000",
"emailAddress": "skeletor@rackspace.com",
"id": 123465798,
"accountId": 1234567
}
],
"totalEntries": 1
}
dns_full_return = {
'dns': {
'values': {'Domains': 1},
'limits': {'Domains': 500}
}
}
""" Autoscale """
autoscale = {
"title": "Autoscale",
"us_url": "https://us.test.com",
"uk_url": "https://uk.test.com",
"active": True,
"db_name": "autoscale",
"require_region": True,
"doc_url": "https://doc.test.com",
"pitchfork_url": "https://pitchfork.url",
"limit_maps": []
}
autoscale_limit = {
"product": "autoscale",
"title": "Max Groups",
"absolute_path": "limits.absolute",
"uri": "/v1.0/{ddi}/limits",
"slug": "max_groups",
"value_key": "",
"absolute_type": "dict",
"active": True,
"limit_key": "maxGroups"
}
autoscale_limit_return = {
"limits": {
"rate": [
{
"regex": "/v1\\.0/execute/(.*)",
"limit": [
{
"value": 10,
"verb": "ALL",
"next-available": "2016-01-12T14:51:13.402Z",
"remaining": 10,
"unit": "SECOND"
}
],
"uri": "/v1.0/execute/*"
}
],
"absolute": {
"maxGroups": 1000,
"maxPoliciesPerGroup": 100,
"maxWebhooksPerPolicy": 25
}
}
}
autoscale_list_return = {
"groups": [
{
"state": {
"status": "ACTIVE",
"desiredCapacity": 0,
"paused": False,
"active": [],
"pendingCapacity": 0,
"activeCapacity": 0,
"name": "test"
},
"id": "d446f3c2-612f-41b8-92dc-4d6e1422bde2",
"links": [
{
"href": (
'https://dfw.autoscale.api.rackspacecloud.com/v1.0'
'/1234567/groups/d446f3c2-612f-41b8-92dc-4d6e1422bde2/'
),
"rel": "self"
}
]
}
],
"groups_links": []
}
autoscale_full_return = {
'autoscale': {
'values': {'Max Groups': 1},
'limits': {'Max Groups': 1000}
}
}
""" Big Data """
big_data = {
"title": "Big Data",
"us_url": "https://us.test.com",
"uk_url": "https://uk.test.com",
"active": True,
"db_name": "big_data",
"require_region": True,
"doc_url": "https://doc.test.com",
"pitchfork_url": "https://pitchfork.url",
"limit_maps": []
}
big_data_limit = [
{
"product": "big_data",
"title": "Node Count",
"absolute_path": "limits.absolute.node_count",
"uri": "/v2/{ddi}/limits",
"slug": "node_count",
"value_key": "remaining",
"absolute_type": "dict",
"active": True,
"limit_key": "limit"
}, {
"product": "big_data",
"title": "Disk - MB",
"absolute_path": "limits.absolute.disk",
"uri": "/v2/{ddi}/limits",
"slug": "disk_-_mb",
"value_key": "remaining",
"absolute_type": "dict",
"active": True,
"limit_key": "limit"
}
]
big_data_limit_return = {
"limits": {
"absolute": {
"node_count": {
"limit": 15,
"remaining": 8
},
"disk": {
"limit": 50000,
"remaining": 25000
},
"ram": {
"limit": 655360,
"remaining": 555360
},
"vcpus": {
"limit": 200,
"remaining": 120
}
}
}
}
big_data_full_return = {
'big_data': {
'values': {'Node Count': 7, 'Disk - MB': 25000},
'limits': {'Node Count': 15, 'Disk - MB': 50000}
}
}
""" CBS """
cbs = {
"title": "CBS",
"us_url": "https://us.test.com",
"uk_url": "https://uk.test.com",
"active": True,
"db_name": "cbs",
"require_region": True,
"doc_url": "https://doc.test.com",
"pitchfork_url": "https://pitchfork.url",
"limit_maps": []
}
cbs_limit = {
"product": "cbs",
"title": "SATA - GB",
"absolute_path": "quota_set.gigabytes_SATA",
"uri": "/v1/{ddi}/os-quota-sets/{ddi}?usage=True",
"slug": "sata_-_gb",
"value_key": "in_use",
"absolute_type": "dict",
"active": True,
"limit_key": "limit"
}
cbs_limit_return = {
"quota_set": {
"volumes": {
"limit": -1,
"reserved": 0,
"in_use": 3
},
"gigabytes_SATA": {
"limit": 10240,
"reserved": 0,
"in_use": 325
},
"gigabytes_SSD": {
"limit": 10240,
"reserved": 0,
"in_use": 50
}
}
}
cbs_full_return = {
'cbs': {
'values': {'SATA - GB': 9915},
'limits': {'SATA - GB': 10240}
}
}
""" Load Balancers """
clb = {
"title": "Load Balancers",
"us_url": "https://us.test.com",
"uk_url": "https://uk.test.com",
"active": True,
"db_name": "load_balancers",
"require_region": True,
"doc_url": "https://doc.test.com",
"pitchfork_url": "https://pitchfork.url",
"limit_maps": []
}
clb_limit = [
{
"product": "load_balancers",
"title": "Total Load Balancers",
"uri": "/v1.0/{ddi}/loadbalancers/absolutelimits",
"slug": "total_load_balancers",
"active": True,
"path": "absolute['LOADBALANCER_LIMIT']",
"absolute_path": "absolute",
"value_key": "",
"absolute_type": "list",
"limit_key": "LOADBALANCER_LIMIT"
}, {
"product": "load_balancers",
"title": "Nodes per LB",
"uri": "/v1.0/{ddi}/loadbalancers/absolutelimits",
"slug": "nodes_per_lb",
"active": True,
"path": "absolute['NODE_LIMIT']",
"absolute_path": "absolute",
"value_key": "",
"absolute_type": "list",
"limit_key": "NODE_LIMIT"
}
]
clb_limit_return = {
"absolute": [
{
"name": "IPV6_LIMIT",
"value": 25
}, {
"name": "LOADBALANCER_LIMIT",
"value": 25
}, {
"name": "BATCH_DELETE_LIMIT",
"value": 10
}, {
"name": "ACCESS_LIST_LIMIT",
"value": 100
}, {
"name": "NODE_LIMIT",
"value": 25
}, {
"name": "NODE_META_LIMIT",
"value": 25
}, {
"name": "LOADBALANCER_META_LIMIT",
"value": 25
}, {
"name": "CERTIFICATE_MAPPING_LIMIT",
"value": 20
}
]
}
clb_list_return = {
"loadBalancers": [
{
"status": "ACTIVE",
"updated": {
"time": "2016-01-12T16:04:44Z"
},
"protocol": "HTTP",
"name": "test",
"algorithm": "LEAST_CONNECTIONS",
"created": {
"time": "2016-01-12T16:04:44Z"
},
"virtualIps": [
{
"ipVersion": "IPV4",
"type": "PUBLIC",
"id": 19875,
"address": "148.62.0.226"
}, {
"ipVersion": "IPV6",
"type": "PUBLIC",
"id": 9318325,
"address": "2001:4800:7904:0100:f46f:211b:0000:0001"
}
],
"id": 506497,
"timeout": 30,
"nodeCount": 0,
"port": 80
}
]
}
clb_full_return = {
'load_balancers': {
'values': {'Total Load Balancers': 1},
'limits': {'Total Load Balancers': 25, 'Nodes per LB': 25}
}
}
""" Servers """
server = {
"title": "Servers",
"us_url": "https://us.test.com",
"uk_url": "https://uk.test.com",
"active": True,
"db_name": "servers",
"require_region": True,
"doc_url": "https://doc.test.com",
"pitchfork_url": "https://pitchfork.url",
"limit_maps": []
}
server_limit = [
{
"product": "servers",
"title": "Servers",
"uri": "/v2/{ddi}/limits",
"slug": "servers",
"active": True,
"path": "absolute['maxTotalInstances']",
"absolute_path": "limits.absolute",
"value_key": "",
"absolute_type": "dict",
"limit_key": "maxTotalInstances"
}, {
"product": "servers",
"title": "Private Networks",
"uri": "/v2/{ddi}/limits",
"slug": "private_networks",
"active": True,
"path": "absolute['maxTotalPrivateNetworks']",
"absolute_path": "limits.absolute",
"value_key": "",
"absolute_type": "dict",
"limit_key": "maxTotalPrivateNetworks"
}, {
"product": "servers",
"title": "Ram - MB",
"uri": "/v2/{ddi}/limits",
"slug": "ram_-_mb",
"active": True,
"path": "absolute['maxTotalRAMSize']",
"absolute_path": "limits.absolute",
"value_key": "",
"absolute_type": "dict",
"limit_key": "maxTotalRAMSize"
}
]
server_limit_return = {
"limits": {
"rate": [
{
"regex": "/[^/]*/?$",
"limit": [
{
"next-available": "2016-01-12T16:14:47.624Z",
"unit": "MINUTE",
"verb": "GET",
"remaining": 2200,
"value": 2200
}
],
"uri": "*"
}, {
"regex": (
"/v[^/]+/[^/]+/servers/([^/]+)/rax-si-image-schedule"
),
"limit": [
{
"next-available": "2016-01-12T16:14:47.624Z",
"unit": "SECOND",
"verb": "POST",
"remaining": 10,
"value": 10
}
],
"uri": "/servers/{id}/rax-si-image-schedule"
}
],
"absolute": {
"maxPersonalitySize": 1000,
"maxTotalCores": -1,
"maxPersonality": 5,
"totalPrivateNetworksUsed": 1,
"maxImageMeta": 40,
"maxTotalPrivateNetworks": 10,
"maxSecurityGroupRules": -1,
"maxTotalKeypairs": 100,
"totalRAMUsed": 4096,
"maxSecurityGroups": -1,
"totalFloatingIpsUsed": 0,
"totalInstancesUsed": 3,
"totalSecurityGroupsUsed": 0,
"maxServerMeta": 40,
"maxTotalFloatingIps": -1,
"maxTotalInstances": 200,
"totalCoresUsed": 4,
"maxTotalRAMSize": 256000
}
}
}
server_list_return = {
"servers": [
{
"OS-EXT-STS:task_state": None,
"addresses": {
"public": [
{
"version": 4,
"addr": "104.130.28.32"
}, {
"version": 6,
"addr": "2001:4802:7803:104:be76:4eff:fe21:51b7"
}
],
"private": [
{
"version": 4,
"addr": "10.176.205.68"
}
]
},
"flavor": {
"id": "general1-1",
"links": [
{
"href": (
"https://iad.servers.api.rackspacecloud.com"
"/766030/flavors/general1-1"
),
"rel": "bookmark"
}
]
},
"id": "3290e50d-888f-4500-a934-16c10f3b8a10",
"user_id": "284275",
"OS-DCF:diskConfig": "MANUAL",
"accessIPv4": "104.130.28.32",
"accessIPv6": "2001:4802:7803:104:be76:4eff:fe21:51b7",
"progress": 100,
"OS-EXT-STS:power_state": 1,
"config_drive": "",
"status": "ACTIVE",
"updated": "2016-01-12T15:16:37Z",
"name": "test-server",
"created": "2016-01-12T15:15:39Z",
"tenant_id": "1234567",
"metadata": {
"build_config": "",
"rax_service_level_automation": "Complete"
}
}
]
}
server_list_processed_return = [
{
'status': 'ACTIVE',
'updated': '2016-01-12T15:16:37Z',
'OS-EXT-STS:task_state': None,
'user_id': '284275',
'addresses': {
'public': [
{
'version': 4,
'addr': '104.130.28.32'
}, {
'version': 6,
'addr': '2001:4802:7803:104:be76:4eff:fe21:51b7'
}
],
'private': [
{
'version': 4,
'addr': '10.176.205.68'
}
]
},
'created': '2016-01-12T15:15:39Z',
'tenant_id': '1234567',
'OS-DCF:diskConfig': 'MANUAL',
'id': '3290e50d-888f-4500-a934-16c10f3b8a10',
'accessIPv4': '104.130.28.32',
'accessIPv6': '2001:4802:7803:104:be76:4eff:fe21:51b7',
'config_drive': '',
'progress': 100,
'OS-EXT-STS:power_state': 1,
'metadata': {
'build_config': '',
'rax_service_level_automation': 'Complete'
},
'flavor': {
'id': 'general1-1',
'links': [
{
'href': (
'https://iad.servers.api.rackspacecloud.com'
'/766030/flavors/general1-1'
),
'rel': 'bookmark'
}
]
},
'name': 'test-server'
}
]
network_list_return = {
"networks": [
{
"status": "ACTIVE",
"subnets": [
"879ff280-6f17-4fd8-b684-19237d88fc45"
],
"name": "test-network",
"admin_state_up": True,
"tenant_id": "1234567",
"shared": False,
"id": "e737483a-00d7-4517-afc3-bd1fbbbd4cd3"
}
]
}
network_processed_list = [
{
'status': 'ACTIVE',
'subnets': [
'879ff280-6f17-4fd8-b684-19237d88fc45'
],
'name': 'test-network',
'admin_state_up': True,
'tenant_id': '1234567',
'shared': False,
'id': 'e737483a-00d7-4517-afc3-bd1fbbbd4cd3'
}
]
server_flavor_return = {
"flavor": {
"ram": 1024,
"name": "1 GB General Purpose v1",
"OS-FLV-WITH-EXT-SPECS:extra_specs": {
"number_of_data_disks": "0",
"class": "general1",
"disk_io_index": "40",
"policy_class": "general_flavor"
},
"vcpus": 1,
"swap": "",
"rxtx_factor": 200.0,
"OS-FLV-EXT-DATA:ephemeral": 0,
"disk": 20,
"id": "general1-1"
}
}
server_full_return = {
'servers': {
'values': {
'Private Networks': 1,
'Ram - MB': 1024,
'Servers': 1
},
'limits': {
'Private Networks': 10,
'Ram - MB': 256000,
'Servers': 200
}
}
}
| sample_product = {'title': 'Test', 'us_url': 'http://us.test.com', 'uk_url': 'http://uk.test.com', 'active': True, 'db_name': 'test', 'require_region': True, 'doc_url': 'http://doc.test.com', 'pitchfork_url': 'https://pitchfork/url'}
sample_limit = {'product': 'test', 'title': 'Test', 'uri': '/limits', 'slug': 'test', 'active': True, 'absolute_path': 'test/path', 'absolute_type': 'list', 'limit_key': 'test_limit', 'value_key': 'test_value'}
sample_log = {'queried': ['dns'], 'queried_by': 'skeletor', 'region': 'dfw', 'ddi': '123456', 'query_results': []}
sample_auth_failure = {'message': '<strong>Error!</strong> Authentication has failed due to incorrect token or DDI. Please check the token and DDI and try again.'}
' DNS Tests '
dns = {'title': 'DNS', 'us_url': 'https://us.test.com', 'uk_url': 'https://uk.test.com', 'active': True, 'db_name': 'dns', 'require_region': True, 'doc_url': 'https://doc.test.com', 'pitchfork_url': 'https://pitchfork.url', 'limit_maps': []}
dns_limit = {'product': 'dns', 'title': 'Domains', 'uri': '/limits', 'slug': 'domains', 'active': True, 'absolute_path': 'limits.absolute', 'absolute_type': 'dict', 'value_key': '', 'limit_key': 'domains'}
dns_limit_return = {'limits': {'rate': [{'regex': '.*/v\\d+\\.\\d+/(\\d+/domains/search).*', 'limit': [{'value': 20, 'verb': 'GET', 'next-available': '2016-01-12T13:56:11.450Z', 'remaining': 20, 'unit': 'MINUTE'}], 'uri': '*/domains/search*'}], 'absolute': {'domains': 500, 'records per domain': 500}}}
dns_list_return = {'domains': [{'comment': 'Test', 'updated': '2015-12-08T20:47:02.000+0000', 'name': 'test.net', 'created': '2015-04-09T15:42:49.000+0000', 'emailAddress': 'skeletor@rackspace.com', 'id': 123465798, 'accountId': 1234567}], 'totalEntries': 1}
dns_full_return = {'dns': {'values': {'Domains': 1}, 'limits': {'Domains': 500}}}
' Autoscale '
autoscale = {'title': 'Autoscale', 'us_url': 'https://us.test.com', 'uk_url': 'https://uk.test.com', 'active': True, 'db_name': 'autoscale', 'require_region': True, 'doc_url': 'https://doc.test.com', 'pitchfork_url': 'https://pitchfork.url', 'limit_maps': []}
autoscale_limit = {'product': 'autoscale', 'title': 'Max Groups', 'absolute_path': 'limits.absolute', 'uri': '/v1.0/{ddi}/limits', 'slug': 'max_groups', 'value_key': '', 'absolute_type': 'dict', 'active': True, 'limit_key': 'maxGroups'}
autoscale_limit_return = {'limits': {'rate': [{'regex': '/v1\\.0/execute/(.*)', 'limit': [{'value': 10, 'verb': 'ALL', 'next-available': '2016-01-12T14:51:13.402Z', 'remaining': 10, 'unit': 'SECOND'}], 'uri': '/v1.0/execute/*'}], 'absolute': {'maxGroups': 1000, 'maxPoliciesPerGroup': 100, 'maxWebhooksPerPolicy': 25}}}
autoscale_list_return = {'groups': [{'state': {'status': 'ACTIVE', 'desiredCapacity': 0, 'paused': False, 'active': [], 'pendingCapacity': 0, 'activeCapacity': 0, 'name': 'test'}, 'id': 'd446f3c2-612f-41b8-92dc-4d6e1422bde2', 'links': [{'href': 'https://dfw.autoscale.api.rackspacecloud.com/v1.0/1234567/groups/d446f3c2-612f-41b8-92dc-4d6e1422bde2/', 'rel': 'self'}]}], 'groups_links': []}
autoscale_full_return = {'autoscale': {'values': {'Max Groups': 1}, 'limits': {'Max Groups': 1000}}}
' Big Data '
big_data = {'title': 'Big Data', 'us_url': 'https://us.test.com', 'uk_url': 'https://uk.test.com', 'active': True, 'db_name': 'big_data', 'require_region': True, 'doc_url': 'https://doc.test.com', 'pitchfork_url': 'https://pitchfork.url', 'limit_maps': []}
big_data_limit = [{'product': 'big_data', 'title': 'Node Count', 'absolute_path': 'limits.absolute.node_count', 'uri': '/v2/{ddi}/limits', 'slug': 'node_count', 'value_key': 'remaining', 'absolute_type': 'dict', 'active': True, 'limit_key': 'limit'}, {'product': 'big_data', 'title': 'Disk - MB', 'absolute_path': 'limits.absolute.disk', 'uri': '/v2/{ddi}/limits', 'slug': 'disk_-_mb', 'value_key': 'remaining', 'absolute_type': 'dict', 'active': True, 'limit_key': 'limit'}]
big_data_limit_return = {'limits': {'absolute': {'node_count': {'limit': 15, 'remaining': 8}, 'disk': {'limit': 50000, 'remaining': 25000}, 'ram': {'limit': 655360, 'remaining': 555360}, 'vcpus': {'limit': 200, 'remaining': 120}}}}
big_data_full_return = {'big_data': {'values': {'Node Count': 7, 'Disk - MB': 25000}, 'limits': {'Node Count': 15, 'Disk - MB': 50000}}}
' CBS '
cbs = {'title': 'CBS', 'us_url': 'https://us.test.com', 'uk_url': 'https://uk.test.com', 'active': True, 'db_name': 'cbs', 'require_region': True, 'doc_url': 'https://doc.test.com', 'pitchfork_url': 'https://pitchfork.url', 'limit_maps': []}
cbs_limit = {'product': 'cbs', 'title': 'SATA - GB', 'absolute_path': 'quota_set.gigabytes_SATA', 'uri': '/v1/{ddi}/os-quota-sets/{ddi}?usage=True', 'slug': 'sata_-_gb', 'value_key': 'in_use', 'absolute_type': 'dict', 'active': True, 'limit_key': 'limit'}
cbs_limit_return = {'quota_set': {'volumes': {'limit': -1, 'reserved': 0, 'in_use': 3}, 'gigabytes_SATA': {'limit': 10240, 'reserved': 0, 'in_use': 325}, 'gigabytes_SSD': {'limit': 10240, 'reserved': 0, 'in_use': 50}}}
cbs_full_return = {'cbs': {'values': {'SATA - GB': 9915}, 'limits': {'SATA - GB': 10240}}}
' Load Balancers '
clb = {'title': 'Load Balancers', 'us_url': 'https://us.test.com', 'uk_url': 'https://uk.test.com', 'active': True, 'db_name': 'load_balancers', 'require_region': True, 'doc_url': 'https://doc.test.com', 'pitchfork_url': 'https://pitchfork.url', 'limit_maps': []}
clb_limit = [{'product': 'load_balancers', 'title': 'Total Load Balancers', 'uri': '/v1.0/{ddi}/loadbalancers/absolutelimits', 'slug': 'total_load_balancers', 'active': True, 'path': "absolute['LOADBALANCER_LIMIT']", 'absolute_path': 'absolute', 'value_key': '', 'absolute_type': 'list', 'limit_key': 'LOADBALANCER_LIMIT'}, {'product': 'load_balancers', 'title': 'Nodes per LB', 'uri': '/v1.0/{ddi}/loadbalancers/absolutelimits', 'slug': 'nodes_per_lb', 'active': True, 'path': "absolute['NODE_LIMIT']", 'absolute_path': 'absolute', 'value_key': '', 'absolute_type': 'list', 'limit_key': 'NODE_LIMIT'}]
clb_limit_return = {'absolute': [{'name': 'IPV6_LIMIT', 'value': 25}, {'name': 'LOADBALANCER_LIMIT', 'value': 25}, {'name': 'BATCH_DELETE_LIMIT', 'value': 10}, {'name': 'ACCESS_LIST_LIMIT', 'value': 100}, {'name': 'NODE_LIMIT', 'value': 25}, {'name': 'NODE_META_LIMIT', 'value': 25}, {'name': 'LOADBALANCER_META_LIMIT', 'value': 25}, {'name': 'CERTIFICATE_MAPPING_LIMIT', 'value': 20}]}
clb_list_return = {'loadBalancers': [{'status': 'ACTIVE', 'updated': {'time': '2016-01-12T16:04:44Z'}, 'protocol': 'HTTP', 'name': 'test', 'algorithm': 'LEAST_CONNECTIONS', 'created': {'time': '2016-01-12T16:04:44Z'}, 'virtualIps': [{'ipVersion': 'IPV4', 'type': 'PUBLIC', 'id': 19875, 'address': '148.62.0.226'}, {'ipVersion': 'IPV6', 'type': 'PUBLIC', 'id': 9318325, 'address': '2001:4800:7904:0100:f46f:211b:0000:0001'}], 'id': 506497, 'timeout': 30, 'nodeCount': 0, 'port': 80}]}
clb_full_return = {'load_balancers': {'values': {'Total Load Balancers': 1}, 'limits': {'Total Load Balancers': 25, 'Nodes per LB': 25}}}
' Servers '
server = {'title': 'Servers', 'us_url': 'https://us.test.com', 'uk_url': 'https://uk.test.com', 'active': True, 'db_name': 'servers', 'require_region': True, 'doc_url': 'https://doc.test.com', 'pitchfork_url': 'https://pitchfork.url', 'limit_maps': []}
server_limit = [{'product': 'servers', 'title': 'Servers', 'uri': '/v2/{ddi}/limits', 'slug': 'servers', 'active': True, 'path': "absolute['maxTotalInstances']", 'absolute_path': 'limits.absolute', 'value_key': '', 'absolute_type': 'dict', 'limit_key': 'maxTotalInstances'}, {'product': 'servers', 'title': 'Private Networks', 'uri': '/v2/{ddi}/limits', 'slug': 'private_networks', 'active': True, 'path': "absolute['maxTotalPrivateNetworks']", 'absolute_path': 'limits.absolute', 'value_key': '', 'absolute_type': 'dict', 'limit_key': 'maxTotalPrivateNetworks'}, {'product': 'servers', 'title': 'Ram - MB', 'uri': '/v2/{ddi}/limits', 'slug': 'ram_-_mb', 'active': True, 'path': "absolute['maxTotalRAMSize']", 'absolute_path': 'limits.absolute', 'value_key': '', 'absolute_type': 'dict', 'limit_key': 'maxTotalRAMSize'}]
server_limit_return = {'limits': {'rate': [{'regex': '/[^/]*/?$', 'limit': [{'next-available': '2016-01-12T16:14:47.624Z', 'unit': 'MINUTE', 'verb': 'GET', 'remaining': 2200, 'value': 2200}], 'uri': '*'}, {'regex': '/v[^/]+/[^/]+/servers/([^/]+)/rax-si-image-schedule', 'limit': [{'next-available': '2016-01-12T16:14:47.624Z', 'unit': 'SECOND', 'verb': 'POST', 'remaining': 10, 'value': 10}], 'uri': '/servers/{id}/rax-si-image-schedule'}], 'absolute': {'maxPersonalitySize': 1000, 'maxTotalCores': -1, 'maxPersonality': 5, 'totalPrivateNetworksUsed': 1, 'maxImageMeta': 40, 'maxTotalPrivateNetworks': 10, 'maxSecurityGroupRules': -1, 'maxTotalKeypairs': 100, 'totalRAMUsed': 4096, 'maxSecurityGroups': -1, 'totalFloatingIpsUsed': 0, 'totalInstancesUsed': 3, 'totalSecurityGroupsUsed': 0, 'maxServerMeta': 40, 'maxTotalFloatingIps': -1, 'maxTotalInstances': 200, 'totalCoresUsed': 4, 'maxTotalRAMSize': 256000}}}
server_list_return = {'servers': [{'OS-EXT-STS:task_state': None, 'addresses': {'public': [{'version': 4, 'addr': '104.130.28.32'}, {'version': 6, 'addr': '2001:4802:7803:104:be76:4eff:fe21:51b7'}], 'private': [{'version': 4, 'addr': '10.176.205.68'}]}, 'flavor': {'id': 'general1-1', 'links': [{'href': 'https://iad.servers.api.rackspacecloud.com/766030/flavors/general1-1', 'rel': 'bookmark'}]}, 'id': '3290e50d-888f-4500-a934-16c10f3b8a10', 'user_id': '284275', 'OS-DCF:diskConfig': 'MANUAL', 'accessIPv4': '104.130.28.32', 'accessIPv6': '2001:4802:7803:104:be76:4eff:fe21:51b7', 'progress': 100, 'OS-EXT-STS:power_state': 1, 'config_drive': '', 'status': 'ACTIVE', 'updated': '2016-01-12T15:16:37Z', 'name': 'test-server', 'created': '2016-01-12T15:15:39Z', 'tenant_id': '1234567', 'metadata': {'build_config': '', 'rax_service_level_automation': 'Complete'}}]}
server_list_processed_return = [{'status': 'ACTIVE', 'updated': '2016-01-12T15:16:37Z', 'OS-EXT-STS:task_state': None, 'user_id': '284275', 'addresses': {'public': [{'version': 4, 'addr': '104.130.28.32'}, {'version': 6, 'addr': '2001:4802:7803:104:be76:4eff:fe21:51b7'}], 'private': [{'version': 4, 'addr': '10.176.205.68'}]}, 'created': '2016-01-12T15:15:39Z', 'tenant_id': '1234567', 'OS-DCF:diskConfig': 'MANUAL', 'id': '3290e50d-888f-4500-a934-16c10f3b8a10', 'accessIPv4': '104.130.28.32', 'accessIPv6': '2001:4802:7803:104:be76:4eff:fe21:51b7', 'config_drive': '', 'progress': 100, 'OS-EXT-STS:power_state': 1, 'metadata': {'build_config': '', 'rax_service_level_automation': 'Complete'}, 'flavor': {'id': 'general1-1', 'links': [{'href': 'https://iad.servers.api.rackspacecloud.com/766030/flavors/general1-1', 'rel': 'bookmark'}]}, 'name': 'test-server'}]
network_list_return = {'networks': [{'status': 'ACTIVE', 'subnets': ['879ff280-6f17-4fd8-b684-19237d88fc45'], 'name': 'test-network', 'admin_state_up': True, 'tenant_id': '1234567', 'shared': False, 'id': 'e737483a-00d7-4517-afc3-bd1fbbbd4cd3'}]}
network_processed_list = [{'status': 'ACTIVE', 'subnets': ['879ff280-6f17-4fd8-b684-19237d88fc45'], 'name': 'test-network', 'admin_state_up': True, 'tenant_id': '1234567', 'shared': False, 'id': 'e737483a-00d7-4517-afc3-bd1fbbbd4cd3'}]
server_flavor_return = {'flavor': {'ram': 1024, 'name': '1 GB General Purpose v1', 'OS-FLV-WITH-EXT-SPECS:extra_specs': {'number_of_data_disks': '0', 'class': 'general1', 'disk_io_index': '40', 'policy_class': 'general_flavor'}, 'vcpus': 1, 'swap': '', 'rxtx_factor': 200.0, 'OS-FLV-EXT-DATA:ephemeral': 0, 'disk': 20, 'id': 'general1-1'}}
server_full_return = {'servers': {'values': {'Private Networks': 1, 'Ram - MB': 1024, 'Servers': 1}, 'limits': {'Private Networks': 10, 'Ram - MB': 256000, 'Servers': 200}}} |
class Element:
dependencies = []
def __init__(self, name):
self.name = name
def add_dependencies(self, *elements):
for element in elements:
if not self.dependencies.__contains__(element):
self.dependencies.append(element)
def remove_dependencies(self, *elements):
for element in elements:
if self.dependencies.__contains__(element):
self.dependencies.remove(element)
| class Element:
dependencies = []
def __init__(self, name):
self.name = name
def add_dependencies(self, *elements):
for element in elements:
if not self.dependencies.__contains__(element):
self.dependencies.append(element)
def remove_dependencies(self, *elements):
for element in elements:
if self.dependencies.__contains__(element):
self.dependencies.remove(element) |
# known contracts from protocol
CONTRACTS = [
# NFT - Meteor Dust
"terra1p70x7jkqhf37qa7qm4v23g4u4g8ka4ktxudxa7",
# NFT - Eggs
"terra1k0y373yxqne22pc9g7jvnr4qclpsxtafevtrpg",
# NFT - Dragons
"terra1vhuyuwwr4rkdpez5f5lmuqavut28h5dt29rpn6",
# NFT - Loot
"terra14gfnxnwl0yz6njzet4n33erq5n70wt79nm24el",
]
def handle(exporter, elem, txinfo, contract):
print(f"Levana! {contract}")
#print(elem)
| contracts = ['terra1p70x7jkqhf37qa7qm4v23g4u4g8ka4ktxudxa7', 'terra1k0y373yxqne22pc9g7jvnr4qclpsxtafevtrpg', 'terra1vhuyuwwr4rkdpez5f5lmuqavut28h5dt29rpn6', 'terra14gfnxnwl0yz6njzet4n33erq5n70wt79nm24el']
def handle(exporter, elem, txinfo, contract):
print(f'Levana! {contract}') |
def isPalindrome(string, i = 0):
j = len(string) - 1 -i
return True if i > j else string[i] == string[j] and isPalindrome(string, i+1)
def isPalindrome(string):
return string == string[::-1]
def isPalindromeUsingIndexes(string):
lIx = 0
rIdx = len(string) -1
while lIx < rIdx:
if(string[lIx] != string [rIdx]):
return False
else:
lIx += 1
rIdx -=1
return True
| def is_palindrome(string, i=0):
j = len(string) - 1 - i
return True if i > j else string[i] == string[j] and is_palindrome(string, i + 1)
def is_palindrome(string):
return string == string[::-1]
def is_palindrome_using_indexes(string):
l_ix = 0
r_idx = len(string) - 1
while lIx < rIdx:
if string[lIx] != string[rIdx]:
return False
else:
l_ix += 1
r_idx -= 1
return True |
# coding=utf-8
# *** WARNING: this file was generated by crd2pulumi. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
SNAKE_TO_CAMEL_CASE_TABLE = {
"access_modes": "accessModes",
"api_group": "apiGroup",
"api_version": "apiVersion",
"app_protocol": "appProtocol",
"association_status": "associationStatus",
"available_nodes": "availableNodes",
"change_budget": "changeBudget",
"client_ip": "clientIP",
"cluster_ip": "clusterIP",
"config_ref": "configRef",
"daemon_set": "daemonSet",
"data_source": "dataSource",
"elasticsearch_association_status": "elasticsearchAssociationStatus",
"elasticsearch_ref": "elasticsearchRef",
"expected_nodes": "expectedNodes",
"external_i_ps": "externalIPs",
"external_name": "externalName",
"external_traffic_policy": "externalTrafficPolicy",
"file_realm": "fileRealm",
"health_check_node_port": "healthCheckNodePort",
"ip_family": "ipFamily",
"kibana_association_status": "kibanaAssociationStatus",
"kibana_ref": "kibanaRef",
"last_probe_time": "lastProbeTime",
"last_transition_time": "lastTransitionTime",
"load_balancer_ip": "loadBalancerIP",
"load_balancer_source_ranges": "loadBalancerSourceRanges",
"match_expressions": "matchExpressions",
"match_labels": "matchLabels",
"max_surge": "maxSurge",
"max_unavailable": "maxUnavailable",
"min_available": "minAvailable",
"node_port": "nodePort",
"node_sets": "nodeSets",
"pod_disruption_budget": "podDisruptionBudget",
"pod_template": "podTemplate",
"publish_not_ready_addresses": "publishNotReadyAddresses",
"remote_clusters": "remoteClusters",
"rolling_update": "rollingUpdate",
"secret_name": "secretName",
"secret_token_secret": "secretTokenSecret",
"secure_settings": "secureSettings",
"self_signed_certificate": "selfSignedCertificate",
"service_account_name": "serviceAccountName",
"session_affinity": "sessionAffinity",
"session_affinity_config": "sessionAffinityConfig",
"storage_class_name": "storageClassName",
"subject_alt_names": "subjectAltNames",
"target_port": "targetPort",
"timeout_seconds": "timeoutSeconds",
"topology_keys": "topologyKeys",
"update_strategy": "updateStrategy",
"volume_claim_templates": "volumeClaimTemplates",
"volume_mode": "volumeMode",
"volume_name": "volumeName",
}
CAMEL_TO_SNAKE_CASE_TABLE = {
"accessModes": "access_modes",
"apiGroup": "api_group",
"apiVersion": "api_version",
"appProtocol": "app_protocol",
"associationStatus": "association_status",
"availableNodes": "available_nodes",
"changeBudget": "change_budget",
"clientIP": "client_ip",
"clusterIP": "cluster_ip",
"configRef": "config_ref",
"daemonSet": "daemon_set",
"dataSource": "data_source",
"elasticsearchAssociationStatus": "elasticsearch_association_status",
"elasticsearchRef": "elasticsearch_ref",
"expectedNodes": "expected_nodes",
"externalIPs": "external_i_ps",
"externalName": "external_name",
"externalTrafficPolicy": "external_traffic_policy",
"fileRealm": "file_realm",
"healthCheckNodePort": "health_check_node_port",
"ipFamily": "ip_family",
"kibanaAssociationStatus": "kibana_association_status",
"kibanaRef": "kibana_ref",
"lastProbeTime": "last_probe_time",
"lastTransitionTime": "last_transition_time",
"loadBalancerIP": "load_balancer_ip",
"loadBalancerSourceRanges": "load_balancer_source_ranges",
"matchExpressions": "match_expressions",
"matchLabels": "match_labels",
"maxSurge": "max_surge",
"maxUnavailable": "max_unavailable",
"minAvailable": "min_available",
"nodePort": "node_port",
"nodeSets": "node_sets",
"podDisruptionBudget": "pod_disruption_budget",
"podTemplate": "pod_template",
"publishNotReadyAddresses": "publish_not_ready_addresses",
"remoteClusters": "remote_clusters",
"rollingUpdate": "rolling_update",
"secretName": "secret_name",
"secretTokenSecret": "secret_token_secret",
"secureSettings": "secure_settings",
"selfSignedCertificate": "self_signed_certificate",
"serviceAccountName": "service_account_name",
"sessionAffinity": "session_affinity",
"sessionAffinityConfig": "session_affinity_config",
"storageClassName": "storage_class_name",
"subjectAltNames": "subject_alt_names",
"targetPort": "target_port",
"timeoutSeconds": "timeout_seconds",
"topologyKeys": "topology_keys",
"updateStrategy": "update_strategy",
"volumeClaimTemplates": "volume_claim_templates",
"volumeMode": "volume_mode",
"volumeName": "volume_name",
}
| snake_to_camel_case_table = {'access_modes': 'accessModes', 'api_group': 'apiGroup', 'api_version': 'apiVersion', 'app_protocol': 'appProtocol', 'association_status': 'associationStatus', 'available_nodes': 'availableNodes', 'change_budget': 'changeBudget', 'client_ip': 'clientIP', 'cluster_ip': 'clusterIP', 'config_ref': 'configRef', 'daemon_set': 'daemonSet', 'data_source': 'dataSource', 'elasticsearch_association_status': 'elasticsearchAssociationStatus', 'elasticsearch_ref': 'elasticsearchRef', 'expected_nodes': 'expectedNodes', 'external_i_ps': 'externalIPs', 'external_name': 'externalName', 'external_traffic_policy': 'externalTrafficPolicy', 'file_realm': 'fileRealm', 'health_check_node_port': 'healthCheckNodePort', 'ip_family': 'ipFamily', 'kibana_association_status': 'kibanaAssociationStatus', 'kibana_ref': 'kibanaRef', 'last_probe_time': 'lastProbeTime', 'last_transition_time': 'lastTransitionTime', 'load_balancer_ip': 'loadBalancerIP', 'load_balancer_source_ranges': 'loadBalancerSourceRanges', 'match_expressions': 'matchExpressions', 'match_labels': 'matchLabels', 'max_surge': 'maxSurge', 'max_unavailable': 'maxUnavailable', 'min_available': 'minAvailable', 'node_port': 'nodePort', 'node_sets': 'nodeSets', 'pod_disruption_budget': 'podDisruptionBudget', 'pod_template': 'podTemplate', 'publish_not_ready_addresses': 'publishNotReadyAddresses', 'remote_clusters': 'remoteClusters', 'rolling_update': 'rollingUpdate', 'secret_name': 'secretName', 'secret_token_secret': 'secretTokenSecret', 'secure_settings': 'secureSettings', 'self_signed_certificate': 'selfSignedCertificate', 'service_account_name': 'serviceAccountName', 'session_affinity': 'sessionAffinity', 'session_affinity_config': 'sessionAffinityConfig', 'storage_class_name': 'storageClassName', 'subject_alt_names': 'subjectAltNames', 'target_port': 'targetPort', 'timeout_seconds': 'timeoutSeconds', 'topology_keys': 'topologyKeys', 'update_strategy': 'updateStrategy', 'volume_claim_templates': 'volumeClaimTemplates', 'volume_mode': 'volumeMode', 'volume_name': 'volumeName'}
camel_to_snake_case_table = {'accessModes': 'access_modes', 'apiGroup': 'api_group', 'apiVersion': 'api_version', 'appProtocol': 'app_protocol', 'associationStatus': 'association_status', 'availableNodes': 'available_nodes', 'changeBudget': 'change_budget', 'clientIP': 'client_ip', 'clusterIP': 'cluster_ip', 'configRef': 'config_ref', 'daemonSet': 'daemon_set', 'dataSource': 'data_source', 'elasticsearchAssociationStatus': 'elasticsearch_association_status', 'elasticsearchRef': 'elasticsearch_ref', 'expectedNodes': 'expected_nodes', 'externalIPs': 'external_i_ps', 'externalName': 'external_name', 'externalTrafficPolicy': 'external_traffic_policy', 'fileRealm': 'file_realm', 'healthCheckNodePort': 'health_check_node_port', 'ipFamily': 'ip_family', 'kibanaAssociationStatus': 'kibana_association_status', 'kibanaRef': 'kibana_ref', 'lastProbeTime': 'last_probe_time', 'lastTransitionTime': 'last_transition_time', 'loadBalancerIP': 'load_balancer_ip', 'loadBalancerSourceRanges': 'load_balancer_source_ranges', 'matchExpressions': 'match_expressions', 'matchLabels': 'match_labels', 'maxSurge': 'max_surge', 'maxUnavailable': 'max_unavailable', 'minAvailable': 'min_available', 'nodePort': 'node_port', 'nodeSets': 'node_sets', 'podDisruptionBudget': 'pod_disruption_budget', 'podTemplate': 'pod_template', 'publishNotReadyAddresses': 'publish_not_ready_addresses', 'remoteClusters': 'remote_clusters', 'rollingUpdate': 'rolling_update', 'secretName': 'secret_name', 'secretTokenSecret': 'secret_token_secret', 'secureSettings': 'secure_settings', 'selfSignedCertificate': 'self_signed_certificate', 'serviceAccountName': 'service_account_name', 'sessionAffinity': 'session_affinity', 'sessionAffinityConfig': 'session_affinity_config', 'storageClassName': 'storage_class_name', 'subjectAltNames': 'subject_alt_names', 'targetPort': 'target_port', 'timeoutSeconds': 'timeout_seconds', 'topologyKeys': 'topology_keys', 'updateStrategy': 'update_strategy', 'volumeClaimTemplates': 'volume_claim_templates', 'volumeMode': 'volume_mode', 'volumeName': 'volume_name'} |
# -*- coding: utf-8 -*-
# Importing Libraries
"""
# Commented out IPython magic to ensure Python compatibility.
import torch
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import torch.nn as nn
from tqdm import tqdm_notebook
from sklearn.preprocessing import MinMaxScaler
# %matplotlib inline
torch.manual_seed(0)
"""# Loading Dataset"""
sns.get_dataset_names()
flight_data = sns.load_dataset("flights")
flight_data.head()
"""# Preprocessing"""
# Changing the plot size
figsize = plt.rcParams["figure.figsize"]
figsize[0] = 15
figsize[1] = 5
plt.rcParams["figure.figsize"] = figsize
# Plotting the data
plt.title("Time Series Representation of Data")
plt.xlabel("Months")
plt.ylabel("Passengers")
plt.grid(True)
plt.autoscale(axis = "x",tight=True)
plt.plot(flight_data["passengers"])
#Please note that this is univariate time series data : consisting of one variable passengers
#
data = flight_data["passengers"].values.astype(float)
print(data)
print(len(data))
# Train-Test Split
# Consider the last the 12 months data as evaluation data for testing the model's behaviour
train_window = 12
train_data = data[:-train_window]
test_data = data[-train_window:]
print(len(train_data))
print(len(test_data))
# Normalizing the train-data
scaler = MinMaxScaler(feature_range=(-1,1))
train_data_normalized = scaler.fit_transform(train_data.reshape(-1,1))
print(train_data_normalized[:10])
# Converting to Torch Tensor
train_data_normalized = torch.FloatTensor(train_data_normalized).view(-1)
print(train_data_normalized)
# Final step is creating sequences of length 12 (12 months data) from the train-data and
# the label for each sequence is the passenger_data for the (12+1)th Month
def create_in_sequences(input_data,tw):
in_seq = []
L = len(input_data)
for i in range(L-tw):
train_seq = input_data[i:i+tw]
train_label = input_data[i+tw:i+tw+1]
in_seq.append((train_seq,train_label))
return in_seq
# Therefore, we get 120 train sequences along with the label value
train_in_seq = create_in_sequences(train_data_normalized,train_window)
print(len(train_in_seq))
print(train_in_seq[:5])
"""# The Model
Please note that the model considered here is:
1. LSTM layer with a univariate input sequence of length 12 and LSTM's previous hidden cell consisting of previous hidden state and previous cell state of length 100 and also , the size of LSTM's output is 100
2. The second layer is a Linear layer of 100 inputs from the LSTM's output and a single output size
"""
class LSTM(nn.Module): #LSTM Class inheriting the inbuilt nn.Module class for neural networks
def __init__(self,input_size = 1,hidden_layer_size = 100, output_size = 1):
super().__init__() #Calls the init function of the nn.Module superclass for being able to access its features
self.hidden_layer_size = hidden_layer_size # Defines the size of h(t-1) [Previous hidden output] and c(t-1) [previous cell state]
self.lstm = nn.LSTM(input_size,hidden_layer_size,dropout = 0.45) # definining the LSTM with univariate input,output and with a dropout regularization of 0.45
self.linear = nn.Linear(hidden_layer_size,output_size) # Linear layer which returns the weighted sum of 100 outputs from the LSTM
self.hidden_cell = (torch.ones(1,1,self.hidden_layer_size), # This is the previous hidden state
torch.ones(1,1,self.hidden_layer_size)) # This is the previous cell state
def forward(self,input_seq):
lstm_out, self.hidden_cell = self.lstm(input_seq.view(len(input_seq),1,-1),self.hidden_cell) #returns 1200 outputs from each of the 100 output neurons for the 12 valued sequence
predictions = self.linear(lstm_out.view(len(input_seq),-1)) # Reshaped to make it compatible as an input to the linear layer
return predictions[-1] # The last element contains the prediction
model = LSTM()
print(model)
"""# Loss Function and Learning Algorithm (Optimizer)
Please note that for this simple model ,
* Loss Function considered is *Mean Squared Error* and
* Optimization Function used is Stochastic Version of **Adam** *Optimizer*.
"""
loss_fn = nn.MSELoss() # Mean Squared Error Loss Function
optimizer = torch.optim.Adam(model.parameters(),lr = 0.0002) # Adam Learning Algorithm
"""# Training"""
epochs = 450
loss_plot = []
for epoch in tqdm_notebook(range(epochs), total=epochs, unit="epoch"):
for seq,label in train_in_seq:
optimizer.zero_grad() # makes the gradients zero for each new sequence
model.hidden_cell = (torch.zeros(1,1,model.hidden_layer_size), # Initialising the previous hidden state and cell state for each new sequence
torch.zeros(1,1,model.hidden_layer_size))
y_pred = model(seq) # Automatically calls the forward pass
loss = loss_fn(y_pred,label) # Determining the loss
loss.backward() # Backpropagation of loss and gradients computation
optimizer.step() # Weights and Bias Updation
loss_plot.append(loss.item()) # Some Bookkeeping
plt.plot(loss_plot,'r-')
plt.xlabel("Epochs")
plt.ylabel("Loss : MSE")
plt.show()
print(loss_plot[-1])
"""# Making Prediction
Please note that for comparison purpose we use the training data's values and predicted data values to predict the number of passengers for the test data months and then compare them
"""
fut_pred = 12
test_inputs = train_data_normalized[-train_window: ].tolist()
print(test_inputs)
print(len(test_inputs))
model.eval() # Makes the model ready for evaluation
for i in range(fut_pred):
seq = torch.FloatTensor(test_inputs[-train_window: ]) # Converting to a tensor
with torch.no_grad(): # Stops adding to the computational flow graph (stops being prepared for backpropagation)
model.hidden_cell = (torch.zeros(1,1,model.hidden_layer_size),
torch.zeros(1,1,model.hidden_layer_size))
test_inputs.append(model(seq).item())
predicted_outputs_normalized = []
predicted_outputs_normalized = test_inputs[-train_window: ]
print(predicted_outputs_normalized)
print(len(predicted_outputs_normalized))
"""# Postprocessing"""
predicted_outputs = scaler.inverse_transform(np.array(predicted_outputs_normalized).reshape(-1,1))
print(predicted_outputs)
x = np.arange(132, 144, 1)
print(x)
"""# Final Output"""
figsize = plt.rcParams["figure.figsize"]
figsize[0] = 15
figsize[1] = 5
plt.rcParams["figure.figsize"] = figsize
plt.title('Month vs Passenger')
plt.ylabel('Total Passengers')
plt.grid(True)
plt.autoscale(axis='x', tight=True)
plt.plot(flight_data['passengers'])
plt.plot(x,predicted_outputs)
plt.show()
figsize = plt.rcParams["figure.figsize"]
figsize[0] = 15
figsize[1] = 5
plt.rcParams["figure.figsize"] = figsize
plt.title('Month vs Passenger')
plt.ylabel('Total Passengers')
plt.grid(True)
plt.autoscale(axis='x', tight=True)
plt.plot(flight_data['passengers'][-train_window-5: ])
plt.plot(x,predicted_outputs)
plt.show()
"""**Please observe that the model is able to get the trend of the passengers but it can be further fine-tuned by adding appropriate regularization methods**"""
| """
# Commented out IPython magic to ensure Python compatibility.
import torch
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import torch.nn as nn
from tqdm import tqdm_notebook
from sklearn.preprocessing import MinMaxScaler
# %matplotlib inline
torch.manual_seed(0)
"""
sns.get_dataset_names()
flight_data = sns.load_dataset('flights')
flight_data.head()
'# Preprocessing'
figsize = plt.rcParams['figure.figsize']
figsize[0] = 15
figsize[1] = 5
plt.rcParams['figure.figsize'] = figsize
plt.title('Time Series Representation of Data')
plt.xlabel('Months')
plt.ylabel('Passengers')
plt.grid(True)
plt.autoscale(axis='x', tight=True)
plt.plot(flight_data['passengers'])
data = flight_data['passengers'].values.astype(float)
print(data)
print(len(data))
train_window = 12
train_data = data[:-train_window]
test_data = data[-train_window:]
print(len(train_data))
print(len(test_data))
scaler = min_max_scaler(feature_range=(-1, 1))
train_data_normalized = scaler.fit_transform(train_data.reshape(-1, 1))
print(train_data_normalized[:10])
train_data_normalized = torch.FloatTensor(train_data_normalized).view(-1)
print(train_data_normalized)
def create_in_sequences(input_data, tw):
in_seq = []
l = len(input_data)
for i in range(L - tw):
train_seq = input_data[i:i + tw]
train_label = input_data[i + tw:i + tw + 1]
in_seq.append((train_seq, train_label))
return in_seq
train_in_seq = create_in_sequences(train_data_normalized, train_window)
print(len(train_in_seq))
print(train_in_seq[:5])
"# The Model\n\nPlease note that the model considered here is:\n\n\n1. LSTM layer with a univariate input sequence of length 12 and LSTM's previous hidden cell consisting of previous hidden state and previous cell state of length 100 and also , the size of LSTM's output is 100 \n2. The second layer is a Linear layer of 100 inputs from the LSTM's output and a single output size\n"
class Lstm(nn.Module):
def __init__(self, input_size=1, hidden_layer_size=100, output_size=1):
super().__init__()
self.hidden_layer_size = hidden_layer_size
self.lstm = nn.LSTM(input_size, hidden_layer_size, dropout=0.45)
self.linear = nn.Linear(hidden_layer_size, output_size)
self.hidden_cell = (torch.ones(1, 1, self.hidden_layer_size), torch.ones(1, 1, self.hidden_layer_size))
def forward(self, input_seq):
(lstm_out, self.hidden_cell) = self.lstm(input_seq.view(len(input_seq), 1, -1), self.hidden_cell)
predictions = self.linear(lstm_out.view(len(input_seq), -1))
return predictions[-1]
model = lstm()
print(model)
'# Loss Function and Learning Algorithm (Optimizer)\n\nPlease note that for this simple model , \n* Loss Function considered is *Mean Squared Error* and\n* Optimization Function used is Stochastic Version of **Adam** *Optimizer*.\n'
loss_fn = nn.MSELoss()
optimizer = torch.optim.Adam(model.parameters(), lr=0.0002)
'# Training'
epochs = 450
loss_plot = []
for epoch in tqdm_notebook(range(epochs), total=epochs, unit='epoch'):
for (seq, label) in train_in_seq:
optimizer.zero_grad()
model.hidden_cell = (torch.zeros(1, 1, model.hidden_layer_size), torch.zeros(1, 1, model.hidden_layer_size))
y_pred = model(seq)
loss = loss_fn(y_pred, label)
loss.backward()
optimizer.step()
loss_plot.append(loss.item())
plt.plot(loss_plot, 'r-')
plt.xlabel('Epochs')
plt.ylabel('Loss : MSE')
plt.show()
print(loss_plot[-1])
"# Making Prediction\n\nPlease note that for comparison purpose we use the training data's values and predicted data values to predict the number of passengers for the test data months and then compare them\n"
fut_pred = 12
test_inputs = train_data_normalized[-train_window:].tolist()
print(test_inputs)
print(len(test_inputs))
model.eval()
for i in range(fut_pred):
seq = torch.FloatTensor(test_inputs[-train_window:])
with torch.no_grad():
model.hidden_cell = (torch.zeros(1, 1, model.hidden_layer_size), torch.zeros(1, 1, model.hidden_layer_size))
test_inputs.append(model(seq).item())
predicted_outputs_normalized = []
predicted_outputs_normalized = test_inputs[-train_window:]
print(predicted_outputs_normalized)
print(len(predicted_outputs_normalized))
'# Postprocessing'
predicted_outputs = scaler.inverse_transform(np.array(predicted_outputs_normalized).reshape(-1, 1))
print(predicted_outputs)
x = np.arange(132, 144, 1)
print(x)
'# Final Output'
figsize = plt.rcParams['figure.figsize']
figsize[0] = 15
figsize[1] = 5
plt.rcParams['figure.figsize'] = figsize
plt.title('Month vs Passenger')
plt.ylabel('Total Passengers')
plt.grid(True)
plt.autoscale(axis='x', tight=True)
plt.plot(flight_data['passengers'])
plt.plot(x, predicted_outputs)
plt.show()
figsize = plt.rcParams['figure.figsize']
figsize[0] = 15
figsize[1] = 5
plt.rcParams['figure.figsize'] = figsize
plt.title('Month vs Passenger')
plt.ylabel('Total Passengers')
plt.grid(True)
plt.autoscale(axis='x', tight=True)
plt.plot(flight_data['passengers'][-train_window - 5:])
plt.plot(x, predicted_outputs)
plt.show()
'**Please observe that the model is able to get the trend of the passengers but it can be further fine-tuned by adding appropriate regularization methods**' |
# List of addresses within the Battle Animation Scripts for the following commands which cause screen flashes:
# B0 - Set background palette color addition (absolute)
# B5 - Add color to background palette (relative)
# AF - Set background palette color subtraction (absolute)
# B6 - Subtract color from background palette (relative)
# By changing address + 1 to E0 (for absolute) or F0 (for relative), it causes no change to the background color (that is, no flash)
BATTLE_ANIMATION_FLASHES = {
"Goner": [
0x100088, # AF E0 - set background color subtraction to 0 (black)
0x10008C, # B6 61 - increase background color subtraction by 1 (red)
0x100092, # B6 31 - decrease background color subtraction by 1 (yellow)
0x100098, # B6 81 - increase background color subtraction by 1 (cyan)
0x1000A1, # B6 91 - decrease background color subtraction by 1 (cyan)
0x1000A3, # B6 21 - increase background color subtraction by 1 (yellow)
0x1000D3, # B6 8F - increase background color subtraction by 15 (cyan)
0x1000DF, # B0 FF - set background color addition to 31 (white)
0x100172, # B5 F2 - decrease background color addition by 2 (white)
],
"Final KEFKA Death": [
0x10023A, # B0 FF - set background color addition to 31 (white)
0x100240, # B5 F4 - decrease background color addition by 4 (white)
0x100248, # B0 FF - set background color addition to 31 (white)
0x10024E, # B5 F4 - decrease background color addition by 4 (white)
],
"Atom Edge": [ # Also True Edge
0x1003D0, # AF E0 - set background color subtraction to 0 (black)
0x1003DD, # B6 E1 - increase background color subtraction by 1 (black)
0x1003E6, # B6 E1 - increase background color subtraction by 1 (black)
0x10044B, # B6 F1 - decrease background color subtraction by 1 (black)
0x100457, # B6 F1 - decrease background color subtraction by 1 (black)
],
"Boss Death": [
0x100476, # B0 FF - set background color addition to 31 (white)
0x10047C, # B5 F4 - decrease background color addition by 4 (white)
0x100484, # B0 FF - set background color addition to 31 (white)
0x100497, # B5 F4 - decrease background color addition by 4 (white)
],
"Transform into Magicite": [
0x100F30, # B0 FF - set background color addition to 31 (white)
0x100F3F, # B5 F2 - decrease background color addition by 2 (white)
0x100F4E, # B5 F2 - decrease background color addition by 2 (white)
],
"Purifier": [
0x101340, # AF E0 - set background color subtraction to 0 (black)
0x101348, # B6 62 - increase background color subtraction by 2 (red)
0x101380, # B6 81 - increase background color subtraction by 1 (cyan)
0x10138A, # B6 F1 - decrease background color subtraction by 1 (black)
],
"Wall": [
0x10177B, # AF E0 - set background color subtraction to 0 (black)
0x10177F, # B6 61 - increase background color subtraction by 1 (red)
0x101788, # B6 51 - decrease background color subtraction by 1 (magenta)
0x101791, # B6 81 - increase background color subtraction by 1 (cyan)
0x10179A, # B6 31 - decrease background color subtraction by 1 (yellow)
0x1017A3, # B6 41 - increase background color subtraction by 1 (magenta)
0x1017AC, # B6 91 - decrease background color subtraction by 1 (cyan)
0x1017B5, # B6 51 - decrease background color subtraction by 1 (magenta)
],
"Pearl": [
0x10190E, # B0 E0 - set background color addition to 0 (white)
0x101913, # B5 E2 - increase background color addition by 2 (white)
0x10191E, # B5 F1 - decrease background color addition by 1 (white)
0x10193E, # B6 C2 - increase background color subtraction by 2 (blue)
],
"Ice 3": [
0x101978, # B0 FF - set background color addition to 31 (white)
0x10197B, # B5 F4 - decrease background color addition by 4 (white)
0x10197E, # B5 F4 - decrease background color addition by 4 (white)
0x101981, # B5 F4 - decrease background color addition by 4 (white)
0x101984, # B5 F4 - decrease background color addition by 4 (white)
0x101987, # B5 F4 - decrease background color addition by 4 (white)
0x10198A, # B5 F4 - decrease background color addition by 4 (white)
0x10198D, # B5 F4 - decrease background color addition by 4 (white)
0x101990, # B5 F4 - decrease background color addition by 4 (white)
],
"Fire 3": [
0x1019FA, # B0 9F - set background color addition to 31 (red)
0x101A1C, # B5 94 - decrease background color addition by 4 (red)
],
"Sleep": [
0x101A23, # AF E0 - set background color subtraction to 0 (black)
0x101A29, # B6 E1 - increase background color subtraction by 1 (black)
0x101A33, # B6 F1 - decrease background color subtraction by 1 (black)
],
"7-Flush": [
0x101B43, # AF E0 - set background color subtraction to 0 (black)
0x101B47, # B6 61 - increase background color subtraction by 1 (red)
0x101B4D, # B6 51 - decrease background color subtraction by 1 (magenta)
0x101B53, # B6 81 - increase background color subtraction by 1 (cyan)
0x101B59, # B6 31 - decrease background color subtraction by 1 (yellow)
0x101B5F, # B6 41 - increase background color subtraction by 1 (magenta)
0x101B65, # B6 91 - decrease background color subtraction by 1 (cyan)
0x101B6B, # B6 51 - decrease background color subtraction by 1 (magenta)
],
"H-Bomb": [
0x101BC5, # B0 E0 - set background color addition to 0 (white)
0x101BC9, # B5 E1 - increase background color addition by 1 (white)
0x101C13, # B5 F1 - decrease background color addition by 1 (white)
],
"Revenger": [
0x101C62, # AF E0 - set background color subtraction to 0 (black)
0x101C66, # B6 81 - increase background color subtraction by 1 (cyan)
0x101C6C, # B6 41 - increase background color subtraction by 1 (magenta)
0x101C72, # B6 91 - decrease background color subtraction by 1 (cyan)
0x101C78, # B6 21 - increase background color subtraction by 1 (yellow)
0x101C7E, # B6 51 - decrease background color subtraction by 1 (magenta)
0x101C84, # B6 81 - increase background color subtraction by 1 (cyan)
0x101C86, # B6 31 - decrease background color subtraction by 1 (yellow)
0x101C8C, # B6 91 - decrease background color subtraction by 1 (cyan)
],
"Phantasm": [
0x101DFD, # AF E0 - set background color subtraction to 0 (black)
0x101E03, # B6 E1 - increase background color subtraction by 1 (black)
0x101E07, # B0 FF - set background color addition to 31 (white)
0x101E0D, # B5 F4 - decrease background color addition by 4 (white)
0x101E15, # B6 E2 - increase background color subtraction by 2 (black)
0x101E1F, # B0 FF - set background color addition to 31 (white)
0x101E27, # B5 F4 - decrease background color addition by 4 (white)
0x101E2F, # B6 E2 - increase background color subtraction by 2 (black)
0x101E3B, # B6 F1 - decrease background color subtraction by 1 (black)
],
"TigerBreak": [
0x10240D, # B0 FF - set background color addition to 31 (white)
0x102411, # B5 F2 - decrease background color addition by 2 (white)
0x102416, # B5 F2 - decrease background color addition by 2 (white)
],
"Metamorph": [
0x102595, # AF E0 - set background color subtraction to 0 (black)
0x102599, # B6 61 - increase background color subtraction by 1 (red)
0x1025AF, # B6 71 - decrease background color subtraction by 1 (red)
],
"Cat Rain": [
0x102677, # B0 FF - set background color addition to 31 (white)
0x10267B, # B5 F1 - decrease background color addition by 1 (white)
],
"Charm": [
0x1026EE, # B0 FF - set background color addition to 31 (white)
0x1026FB, # B5 F1 - decrease background color addition by 1 (white)
],
"Mirager": [
0x102791, # B0 FF - set background color addition to 31 (white)
0x102795, # B5 F2 - decrease background color addition by 2 (white)
],
"SabreSoul": [
0x1027D3, # B0 FF - set background color addition to 31 (white)
0x1027DA, # B5 F2 - decrease background color addition by 2 (white)
],
"Back Blade": [
0x1028D3, # AF FF - set background color subtraction to 31 (black)
0x1028DF, # B6 F4 - decrease background color subtraction by 4 (black)
],
"RoyalShock": [
0x102967, # B0 FF - set background color addition to 31 (white)
0x10296B, # B5 F2 - decrease background color addition by 2 (white)
0x102973, # B5 F2 - decrease background color addition by 2 (white)
],
"Overcast": [
0x102C3A, # AF E0 - set background color subtraction to 0 (black)
0x102C55, # B6 E1 - increase background color subtraction by 1 (black)
0x102C8D, # B6 F1 - decrease background color subtraction by 1 (black)
0x102C91, # B6 F1 - decrease background color subtraction by 1 (black)
],
"Disaster": [
0x102CEE, # AF E0 - set background color subtraction to 0 (black)
0x102CF2, # B6 E1 - increase background color subtraction by 1 (black)
0x102D19, # B6 F1 - decrease background color subtraction by 1 (black)
],
"ForceField": [
0x102D3A, # B0 E0 - set background color addition to 0 (white)
0x102D48, # B5 E1 - increase background color addition by 1 (white)
0x102D64, # B5 F1 - decrease background color addition by 1 (white)
],
"Terra/Tritoch Lightning": [
0x102E05, # B0 E0 - set background color addition to 0 (white)
0x102E09, # B5 81 - increase background color addition by 1 (red)
0x102E24, # B5 61 - increase background color addition by 1 (cyan)
],
"S. Cross": [
0x102EDA, # AF E0 - set background color subtraction to 0 (black)
0x102EDE, # B6 E2 - increase background color subtraction by 2 (black)
0x102FA8, # B6 F2 - decrease background color subtraction by 2 (black)
0x102FB1, # B0 E0 - set background color addition to 0 (white)
0x102FBE, # B5 E2 - increase background color addition by 2 (white)
0x102FD9, # B5 F2 - decrease background color addition by 2 (white)
],
"Mind Blast": [
0x102FED, # B0 E0 - set background color addition to 0 (white)
0x102FF1, # B5 81 - increase background color addition by 1 (red)
0x102FF7, # B5 91 - decrease background color addition by 1 (red)
0x102FF9, # B5 21 - increase background color addition by 1 (blue)
0x102FFF, # B5 31 - decrease background color addition by 1 (blue)
0x103001, # B5 C1 - increase background color addition by 1 (yellow)
0x103007, # B5 91 - decrease background color addition by 1 (red)
0x10300D, # B5 51 - decrease background color addition by 1 (green)
0x103015, # B5 E2 - increase background color addition by 2 (white)
0x10301F, # B5 F1 - decrease background color addition by 1 (white)
],
"Flare Star": [
0x1030F5, # B0 E0 - set background color addition to 0 (white)
0x103106, # B5 81 - increase background color addition by 1 (red)
0x10310D, # B5 E2 - increase background color addition by 2 (white)
0x103123, # B5 71 - decrease background color addition by 1 (cyan)
0x10312E, # B5 91 - decrease background color addition by 1 (red)
],
"Quasar": [
0x1031D2, # AF E0 - set background color subtraction to 0 (black)
0x1031D6, # B6 E1 - increase background color subtraction by 1 (black)
0x1031FA, # B6 F1 - decrease background color subtraction by 1 (black)
],
"R.Polarity": [
0x10328B, # B0 FF - set background color addition to 31 (white)
0x103292, # B5 F1 - decrease background color addition by 1 (white)
],
"Rippler": [
0x1033C6, # B0 FF - set background color addition to 31 (white)
0x1033CA, # B5 F1 - decrease background color addition by 1 (white)
],
"Step Mine": [
0x1034D9, # B0 FF - set background color addition to 31 (white)
0x1034E0, # B5 F4 - decrease background color addition by 4 (white)
],
"L.5 Doom": [
0x1035E6, # B0 FF - set background color addition to 31 (white)
0x1035F6, # B5 F4 - decrease background color addition by 4 (white)
],
"Megazerk": [
0x103757, # B0 80 - set background color addition to 0 (red)
0x103761, # B5 82 - increase background color addition by 2 (red)
0x10378F, # B5 92 - decrease background color addition by 2 (red)
0x103795, # B5 92 - decrease background color addition by 2 (red)
0x10379B, # B5 92 - decrease background color addition by 2 (red)
0x1037A1, # B5 92 - decrease background color addition by 2 (red)
0x1037A7, # B5 92 - decrease background color addition by 2 (red)
0x1037AD, # B5 92 - decrease background color addition by 2 (red)
0x1037B3, # B5 92 - decrease background color addition by 2 (red)
0x1037B9, # B5 92 - decrease background color addition by 2 (red)
0x1037C0, # B5 92 - decrease background color addition by 2 (red)
],
"Schiller": [
0x103819, # B0 FF - set background color addition to 31 (white)
0x10381D, # B5 F4 - decrease background color addition by 4 (white)
],
"WallChange": [
0x10399E, # B0 FF - set background color addition to 31 (white)
0x1039A3, # B5 F2 - decrease background color addition by 2 (white)
0x1039A9, # B5 F2 - decrease background color addition by 2 (white)
0x1039AF, # B5 F2 - decrease background color addition by 2 (white)
0x1039B5, # B5 F2 - decrease background color addition by 2 (white)
0x1039BB, # B5 F2 - decrease background color addition by 2 (white)
0x1039C1, # B5 F2 - decrease background color addition by 2 (white)
0x1039C7, # B5 F2 - decrease background color addition by 2 (white)
0x1039CD, # B5 F2 - decrease background color addition by 2 (white)
0x1039D4, # B5 F2 - decrease background color addition by 2 (white)
],
"Ultima": [
0x1056CB, # AF 60 - set background color subtraction to 0 (red)
0x1056CF, # B6 C2 - increase background color subtraction by 2 (blue)
0x1056ED, # B0 FF - set background color addition to 31 (white)
0x1056F5, # B5 F1 - decrease background color addition by 1 (white)
],
"Bolt 3": [ # Also Giga Volt
0x10588E, # B0 FF - set background color addition to 31 (white)
0x105893, # B5 F4 - decrease background color addition by 4 (white)
0x105896, # B5 F4 - decrease background color addition by 4 (white)
0x105899, # B5 F4 - decrease background color addition by 4 (white)
0x10589C, # B5 F4 - decrease background color addition by 4 (white)
0x1058A1, # B5 F4 - decrease background color addition by 4 (white)
0x1058A6, # B5 F4 - decrease background color addition by 4 (white)
0x1058AB, # B5 F4 - decrease background color addition by 4 (white)
0x1058B0, # B5 F4 - decrease background color addition by 4 (white)
],
"X-Zone": [
0x105A5D, # B0 FF - set background color addition to 31 (white)
0x105A6A, # B5 F2 - decrease background color addition by 2 (white)
0x105A79, # B5 F2 - decrease background color addition by 2 (white)
],
"Dispel": [
0x105DC2, # B0 FF - set background color addition to 31 (white)
0x105DC9, # B5 F1 - decrease background color addition by 1 (white)
0x105DD2, # B5 F1 - decrease background color addition by 1 (white)
0x105DDB, # B5 F1 - decrease background color addition by 1 (white)
0x105DE4, # B5 F1 - decrease background color addition by 1 (white)
0x105DED, # B5 F1 - decrease background color addition by 1 (white)
],
"Muddle": [ # Also L.3 Muddle, Confusion
0x1060EA, # B0 FF - set background color addition to 31 (white)
0x1060EE, # B5 F1 - decrease background color addition by 1 (white)
],
"Shock": [
0x1068BE, # B0 FF - set background color addition to 31 (white)
0x1068D0, # B5 F1 - decrease background color addition by 1 (white)
],
"Bum Rush": [
0x106C3E, # B0 E0 - set background color addition to 0 (white)
0x106C47, # B0 E0 - set background color addition to 0 (white)
0x106C53, # B0 E0 - set background color addition to 0 (white)
0x106C7E, # B0 FF - set background color addition to 31 (white)
0x106C87, # B0 E0 - set background color addition to 0 (white)
0x106C95, # B0 FF - set background color addition to 31 (white)
0x106C9E, # B0 E0 - set background color addition to 0 (white)
],
"Stunner": [
0x1071BA, # B0 20 - set background color addition to 0 (blue)
0x1071C1, # B5 24 - increase background color addition by 4 (blue)
0x1071CA, # B5 24 - increase background color addition by 4 (blue)
0x1071D5, # B5 24 - increase background color addition by 4 (blue)
0x1071DE, # B5 24 - increase background color addition by 4 (blue)
0x1071E9, # B5 24 - increase background color addition by 4 (blue)
0x1071F2, # B5 24 - increase background color addition by 4 (blue)
0x1071FD, # B5 24 - increase background color addition by 4 (blue)
0x107206, # B5 24 - increase background color addition by 4 (blue)
0x107211, # B5 24 - increase background color addition by 4 (blue)
0x10721A, # B5 24 - increase background color addition by 4 (blue)
0x10725A, # B5 32 - decrease background color addition by 2 (blue)
],
"Quadra Slam": [ # Also Quadra Slice
0x1073DC, # B0 FF - set background color addition to 31 (white)
0x1073EE, # B5 F2 - decrease background color addition by 2 (white)
0x1073F3, # B5 F2 - decrease background color addition by 2 (white)
0x107402, # B0 5F - set background color addition to 31 (green)
0x107424, # B5 54 - decrease background color addition by 4 (green)
0x107429, # B5 54 - decrease background color addition by 4 (green)
0x107436, # B0 3F - set background color addition to 31 (blue)
0x107458, # B5 34 - decrease background color addition by 4 (blue)
0x10745D, # B5 34 - decrease background color addition by 4 (blue)
0x107490, # B0 9F - set background color addition to 31 (red)
0x1074B2, # B5 94 - decrease background color addition by 4 (red)
0x1074B7, # B5 94 - decrease background color addition by 4 (red)
],
"Slash": [
0x1074F4, # B0 FF - set background color addition to 31 (white)
0x1074FD, # B5 F2 - decrease background color addition by 2 (white)
0x107507, # B5 F2 - decrease background color addition by 2 (white)
],
"Flash": [
0x107850, # B0 FF - set background color addition to 31 (white)
0x10785C, # B5 F1 - decrease background color addition by 1 (white)
]
}
| battle_animation_flashes = {'Goner': [1048712, 1048716, 1048722, 1048728, 1048737, 1048739, 1048787, 1048799, 1048946], 'Final KEFKA Death': [1049146, 1049152, 1049160, 1049166], 'Atom Edge': [1049552, 1049565, 1049574, 1049675, 1049687], 'Boss Death': [1049718, 1049724, 1049732, 1049751], 'Transform into Magicite': [1052464, 1052479, 1052494], 'Purifier': [1053504, 1053512, 1053568, 1053578], 'Wall': [1054587, 1054591, 1054600, 1054609, 1054618, 1054627, 1054636, 1054645], 'Pearl': [1054990, 1054995, 1055006, 1055038], 'Ice 3': [1055096, 1055099, 1055102, 1055105, 1055108, 1055111, 1055114, 1055117, 1055120], 'Fire 3': [1055226, 1055260], 'Sleep': [1055267, 1055273, 1055283], '7-Flush': [1055555, 1055559, 1055565, 1055571, 1055577, 1055583, 1055589, 1055595], 'H-Bomb': [1055685, 1055689, 1055763], 'Revenger': [1055842, 1055846, 1055852, 1055858, 1055864, 1055870, 1055876, 1055878, 1055884], 'Phantasm': [1056253, 1056259, 1056263, 1056269, 1056277, 1056287, 1056295, 1056303, 1056315], 'TigerBreak': [1057805, 1057809, 1057814], 'Metamorph': [1058197, 1058201, 1058223], 'Cat Rain': [1058423, 1058427], 'Charm': [1058542, 1058555], 'Mirager': [1058705, 1058709], 'SabreSoul': [1058771, 1058778], 'Back Blade': [1059027, 1059039], 'RoyalShock': [1059175, 1059179, 1059187], 'Overcast': [1059898, 1059925, 1059981, 1059985], 'Disaster': [1060078, 1060082, 1060121], 'ForceField': [1060154, 1060168, 1060196], 'Terra/Tritoch Lightning': [1060357, 1060361, 1060388], 'S. Cross': [1060570, 1060574, 1060776, 1060785, 1060798, 1060825], 'Mind Blast': [1060845, 1060849, 1060855, 1060857, 1060863, 1060865, 1060871, 1060877, 1060885, 1060895], 'Flare Star': [1061109, 1061126, 1061133, 1061155, 1061166], 'Quasar': [1061330, 1061334, 1061370], 'R.Polarity': [1061515, 1061522], 'Rippler': [1061830, 1061834], 'Step Mine': [1062105, 1062112], 'L.5 Doom': [1062374, 1062390], 'Megazerk': [1062743, 1062753, 1062799, 1062805, 1062811, 1062817, 1062823, 1062829, 1062835, 1062841, 1062848], 'Schiller': [1062937, 1062941], 'WallChange': [1063326, 1063331, 1063337, 1063343, 1063349, 1063355, 1063361, 1063367, 1063373, 1063380], 'Ultima': [1070795, 1070799, 1070829, 1070837], 'Bolt 3': [1071246, 1071251, 1071254, 1071257, 1071260, 1071265, 1071270, 1071275, 1071280], 'X-Zone': [1071709, 1071722, 1071737], 'Dispel': [1072578, 1072585, 1072594, 1072603, 1072612, 1072621], 'Muddle': [1073386, 1073390], 'Shock': [1075390, 1075408], 'Bum Rush': [1076286, 1076295, 1076307, 1076350, 1076359, 1076373, 1076382], 'Stunner': [1077690, 1077697, 1077706, 1077717, 1077726, 1077737, 1077746, 1077757, 1077766, 1077777, 1077786, 1077850], 'Quadra Slam': [1078236, 1078254, 1078259, 1078274, 1078308, 1078313, 1078326, 1078360, 1078365, 1078416, 1078450, 1078455], 'Slash': [1078516, 1078525, 1078535], 'Flash': [1079376, 1079388]} |
class Solution:
def maxEnvelopes(self, envelopes: List[List[int]]) -> int:
if not envelopes:
return 0
pairs = sorted(envelopes, key=lambda x: (x[0], -x[1]))
result = []
for pair in pairs:
height = pair[1]
if len(result) == 0 or height > result[-1]:
result.append(height)
else:
index = bisect.bisect_left(result, height)
result[index] = height
return len(result)
| class Solution:
def max_envelopes(self, envelopes: List[List[int]]) -> int:
if not envelopes:
return 0
pairs = sorted(envelopes, key=lambda x: (x[0], -x[1]))
result = []
for pair in pairs:
height = pair[1]
if len(result) == 0 or height > result[-1]:
result.append(height)
else:
index = bisect.bisect_left(result, height)
result[index] = height
return len(result) |
# -*- coding: utf-8 -*-
# This file is made to configure every file number at one place
# Choose the place you are training at
# AWS : 0, Own PC : 1
PC = 1
path_list = ["/jet/prs/workspace/", "."]
url = path_list[PC]
clothes = ['shirt',
'jeans',
'blazer',
'chino-pants',
'jacket',
'coat',
'hoody',
'training-pants',
't-shirt',
'polo-shirt',
'knit',
'slacks',
'sweat-shirt']
schedule = ['party',
'trip',
'sport',
'work',
'speech',
'daily',
'school',
'date']
weather = ['snow',
'sunny',
'cloudy',
'rain']
| pc = 1
path_list = ['/jet/prs/workspace/', '.']
url = path_list[PC]
clothes = ['shirt', 'jeans', 'blazer', 'chino-pants', 'jacket', 'coat', 'hoody', 'training-pants', 't-shirt', 'polo-shirt', 'knit', 'slacks', 'sweat-shirt']
schedule = ['party', 'trip', 'sport', 'work', 'speech', 'daily', 'school', 'date']
weather = ['snow', 'sunny', 'cloudy', 'rain'] |
def test_rm_long_opt_help(pycred):
pycred('rm --help')
def test_rm_short_opt_help(pycred):
pycred('rm -h')
def test_rm_none_existing_store_gives_exit_code_2(pycred, workspace):
with workspace():
pycred('rm non-existing-store user', expected_exit_code=2)
| def test_rm_long_opt_help(pycred):
pycred('rm --help')
def test_rm_short_opt_help(pycred):
pycred('rm -h')
def test_rm_none_existing_store_gives_exit_code_2(pycred, workspace):
with workspace():
pycred('rm non-existing-store user', expected_exit_code=2) |
# Application definition
INSTALLED_APPS = [
'django.contrib.staticfiles',
'django.contrib.sessions',
'authenticate',
]
ROOT_URLCONF = 'auth_service.urls'
WSGI_APPLICATION = 'auth_service.wsgi.application'
# Use a non database session engine
SESSION_ENGINE = 'django.contrib.sessions.backends.signed_cookies'
SESSION_COOKIE_SECURE = False
| installed_apps = ['django.contrib.staticfiles', 'django.contrib.sessions', 'authenticate']
root_urlconf = 'auth_service.urls'
wsgi_application = 'auth_service.wsgi.application'
session_engine = 'django.contrib.sessions.backends.signed_cookies'
session_cookie_secure = False |
s=[]
for i in range(int(input())):
s.append(input())
cnt=0
while s:
flag=True
for i in range(len(s)//2):
if s[i]<s[-(i+1)]:
print(s[0],end='')
s.pop(0)
flag=False
break
elif s[-(i+1)]<s[i]:
print(s[-1],end='')
s.pop()
flag=False
break
if flag:
print(s[-1],end='')
s.pop()
cnt+=1
if cnt%80==0: print() | s = []
for i in range(int(input())):
s.append(input())
cnt = 0
while s:
flag = True
for i in range(len(s) // 2):
if s[i] < s[-(i + 1)]:
print(s[0], end='')
s.pop(0)
flag = False
break
elif s[-(i + 1)] < s[i]:
print(s[-1], end='')
s.pop()
flag = False
break
if flag:
print(s[-1], end='')
s.pop()
cnt += 1
if cnt % 80 == 0:
print() |
cars=100
cars_in_space=5
drivers=20
pasengers=70
car_not_driven=cars-drivers
cars_driven=drivers
carpool_capacity=cars_driven*space_in_a_car
average_passengers_percar=passengers/cars_driven
print("There are", cars,"cars availble")
print("There are only",drivers,"drivers availble")
print("There will be",car_not_driven,"empty cars today")
print("There are",cars_in_space,"space availble in car")
print("We can transport",carpool_capacity,"peopletoday.")
print("We have", passengers,"to carpool today.")
print("We need to put about", average_passengers_per_car,"in each car.")
| cars = 100
cars_in_space = 5
drivers = 20
pasengers = 70
car_not_driven = cars - drivers
cars_driven = drivers
carpool_capacity = cars_driven * space_in_a_car
average_passengers_percar = passengers / cars_driven
print('There are', cars, 'cars availble')
print('There are only', drivers, 'drivers availble')
print('There will be', car_not_driven, 'empty cars today')
print('There are', cars_in_space, 'space availble in car')
print('We can transport', carpool_capacity, 'peopletoday.')
print('We have', passengers, 'to carpool today.')
print('We need to put about', average_passengers_per_car, 'in each car.') |
# AUTOGENERATED! DO NOT EDIT! File to edit: dataset.ipynb (unless otherwise specified).
__all__ = ['load_mp3', 'get_sample_label', 'preprocess_file', 'pad_by_zeros', 'split_file_by_window_size',
'wrapper_split_file_by_window_size', 'create_dataset_fixed_size', 'get_spectrogram', 'add_channel_dim']
# Cell
def load_mp3(file):
sample = tf.io.read_file(file)
sample_audio = tfio.audio.decode_mp3(sample)
return sample_audio
# Cell
def get_sample_label(file):
sample = load_mp3(file)
label = tf.argmax(tf.strings.split(file, '/')[1] == np.array(ebirds))
return sample, label
# Cell
def preprocess_file(sample_audio, label):
# Only look at the first channel
sample_audio = sample_audio[:,0]
sample_audio_scaled = (sample_audio - tf.math.reduce_min(sample_audio))/(tf.math.reduce_max(sample_audio) - tf.math.reduce_min(sample_audio))
sample_audio_scaled = 2*(sample_audio_scaled - 0.5)
return sample_audio_scaled, label
# Cell
def pad_by_zeros(sample, min_file_size, last_sample_size):
padding_size = min_file_size - last_sample_size
sample_padded = tf.pad(sample, paddings=[[tf.constant(0), padding_size]])
return sample_padded
# Cell
def split_file_by_window_size(sample, label):
# number of subsamples given none overlapping window size.
subsample_count = int(np.round(sample.shape[0]/min_file_size))
# ignore extremely long files for now
subsample_limit = 75
if subsample_count <= subsample_limit:
# if the last sample is at least half the window size, then pad it, if not, clip it.
last_sample_size = sample.shape[0]%min_file_size
if last_sample_size/min_file_size > 0.5:
sample = pad_by_zeros(sample, min_file_size, last_sample_size)
else:
sample = sample[:subsample_count*min_file_size]
sample = tf.reshape(sample, shape=[subsample_count, min_file_size])
label = tf.pad(tf.expand_dims(label, axis=0), paddings=[[0, subsample_count-1]], constant_values=label.numpy())
else:
sample = tf.reshape(sample[:subsample_limit*min_file_size], shape=[subsample_limit, min_file_size])
label = tf.pad(tf.expand_dims(label, axis=0), paddings=[[0, 74]], constant_values=label.numpy())
return sample, label
# Cell
def wrapper_split_file_by_window_size(sample, label):
sample, label = tf.py_function(split_file_by_window_size, inp=(sample, label),
Tout=(sample.dtype, label.dtype))
return sample, label
# Cell
def create_dataset_fixed_size(ds):
iterator = iter(ds)
sample, label = iterator.next()
samples_all = tf.unstack(sample)
labels_all = tf.unstack(label)
while True:
try:
sample, label = iterator.next()
sample = tf.unstack(sample)
label = tf.unstack(label)
samples_all = tf.concat([samples_all, sample], axis=0)
labels_all = tf.concat([labels_all, label], axis=0)
except:
break
return samples_all, labels_all
# Cell
def get_spectrogram(sample, label):
spectrogram = tfio.experimental.audio.spectrogram(sample, nfft=512, window=512, stride=256)
return spectrogram, label
# Cell
def add_channel_dim(sample, label):
sample = tf.expand_dims(sample, axis=-1)
return sample, label | __all__ = ['load_mp3', 'get_sample_label', 'preprocess_file', 'pad_by_zeros', 'split_file_by_window_size', 'wrapper_split_file_by_window_size', 'create_dataset_fixed_size', 'get_spectrogram', 'add_channel_dim']
def load_mp3(file):
sample = tf.io.read_file(file)
sample_audio = tfio.audio.decode_mp3(sample)
return sample_audio
def get_sample_label(file):
sample = load_mp3(file)
label = tf.argmax(tf.strings.split(file, '/')[1] == np.array(ebirds))
return (sample, label)
def preprocess_file(sample_audio, label):
sample_audio = sample_audio[:, 0]
sample_audio_scaled = (sample_audio - tf.math.reduce_min(sample_audio)) / (tf.math.reduce_max(sample_audio) - tf.math.reduce_min(sample_audio))
sample_audio_scaled = 2 * (sample_audio_scaled - 0.5)
return (sample_audio_scaled, label)
def pad_by_zeros(sample, min_file_size, last_sample_size):
padding_size = min_file_size - last_sample_size
sample_padded = tf.pad(sample, paddings=[[tf.constant(0), padding_size]])
return sample_padded
def split_file_by_window_size(sample, label):
subsample_count = int(np.round(sample.shape[0] / min_file_size))
subsample_limit = 75
if subsample_count <= subsample_limit:
last_sample_size = sample.shape[0] % min_file_size
if last_sample_size / min_file_size > 0.5:
sample = pad_by_zeros(sample, min_file_size, last_sample_size)
else:
sample = sample[:subsample_count * min_file_size]
sample = tf.reshape(sample, shape=[subsample_count, min_file_size])
label = tf.pad(tf.expand_dims(label, axis=0), paddings=[[0, subsample_count - 1]], constant_values=label.numpy())
else:
sample = tf.reshape(sample[:subsample_limit * min_file_size], shape=[subsample_limit, min_file_size])
label = tf.pad(tf.expand_dims(label, axis=0), paddings=[[0, 74]], constant_values=label.numpy())
return (sample, label)
def wrapper_split_file_by_window_size(sample, label):
(sample, label) = tf.py_function(split_file_by_window_size, inp=(sample, label), Tout=(sample.dtype, label.dtype))
return (sample, label)
def create_dataset_fixed_size(ds):
iterator = iter(ds)
(sample, label) = iterator.next()
samples_all = tf.unstack(sample)
labels_all = tf.unstack(label)
while True:
try:
(sample, label) = iterator.next()
sample = tf.unstack(sample)
label = tf.unstack(label)
samples_all = tf.concat([samples_all, sample], axis=0)
labels_all = tf.concat([labels_all, label], axis=0)
except:
break
return (samples_all, labels_all)
def get_spectrogram(sample, label):
spectrogram = tfio.experimental.audio.spectrogram(sample, nfft=512, window=512, stride=256)
return (spectrogram, label)
def add_channel_dim(sample, label):
sample = tf.expand_dims(sample, axis=-1)
return (sample, label) |
# Copyright 2014-2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0
# See LICENSE file for details.
class mockData:
"""dictionary of mocking data for the mocking tests"""
# dictionary to hold the mock data
_data={}
# function to add mock data to the _mock_data dictionary
def _add(self,uri,status,payload):
self._data[uri] = {"status":status,
"payload":payload
}
return
def getPayload(self,input):
return self._data[input]['payload']
def getStatusCode(self,input):
return self._data[input]['status']
# initialize the _mock_data dictionary with all the appropriate mocking data
def __init__(self):
self._add( uri="limits", status=200,
payload='{"transaction-quota":10000,"transaction-count":259,"endpoint-quota":100,"endpoint-count":1}')
self._add( uri="connectorVersion", status=200,
payload='DeviceServer v3.0.0-520\nREST version = v2')
self._add( uri="apiVersion", status=200,
payload='["v1","v2"]')
self._add( uri="endpoints", status=200,
payload='[{"name":"51f540a2-3113-46e2-aef4-96e94a637b31","type":"test","status":"ACTIVE"}]')
self._add( uri="resources", status=200,
payload='[{"uri":"/Test/0/S","rt":"Static","obs":false,"type":""},{"uri":"/Test/0/D","rt":"Dynamic","obs":true,"type":""},{"uri":"/3/0/2","obs":false,"type":""},{"uri":"/3/0/1","obs":false,"type":""},{"uri":"/3/0/17","obs":false,"type":""},{"uri":"/3/0/0","obs":false,"type":""},{"uri":"/3/0/16","obs":false,"type":""},{"uri":"/3/0/11","obs":false,"type":""},{"uri":"/3/0/11/0","obs":false,"type":""},{"uri":"/3/0/4","obs":false,"type":""}]')
#self._add( uri="", status=200,
# payload="")
#self._add( uri="", status=200,
# payload="")
#self._add( uri="", status=200,
# payload="")
| class Mockdata:
"""dictionary of mocking data for the mocking tests"""
_data = {}
def _add(self, uri, status, payload):
self._data[uri] = {'status': status, 'payload': payload}
return
def get_payload(self, input):
return self._data[input]['payload']
def get_status_code(self, input):
return self._data[input]['status']
def __init__(self):
self._add(uri='limits', status=200, payload='{"transaction-quota":10000,"transaction-count":259,"endpoint-quota":100,"endpoint-count":1}')
self._add(uri='connectorVersion', status=200, payload='DeviceServer v3.0.0-520\nREST version = v2')
self._add(uri='apiVersion', status=200, payload='["v1","v2"]')
self._add(uri='endpoints', status=200, payload='[{"name":"51f540a2-3113-46e2-aef4-96e94a637b31","type":"test","status":"ACTIVE"}]')
self._add(uri='resources', status=200, payload='[{"uri":"/Test/0/S","rt":"Static","obs":false,"type":""},{"uri":"/Test/0/D","rt":"Dynamic","obs":true,"type":""},{"uri":"/3/0/2","obs":false,"type":""},{"uri":"/3/0/1","obs":false,"type":""},{"uri":"/3/0/17","obs":false,"type":""},{"uri":"/3/0/0","obs":false,"type":""},{"uri":"/3/0/16","obs":false,"type":""},{"uri":"/3/0/11","obs":false,"type":""},{"uri":"/3/0/11/0","obs":false,"type":""},{"uri":"/3/0/4","obs":false,"type":""}]') |
a = int(input())
b = int(input())
if a >=b*12:
print("Buy it!")
else:
print("Try again")
| a = int(input())
b = int(input())
if a >= b * 12:
print('Buy it!')
else:
print('Try again') |
# [weight, value]
I = [[4, 8], [4, 7], [6, 14]]
k = 8
def knapRecursive(I, k):
return knapRecursiveAux(I, k, len(I) - 1)
def knapRecursiveAux(I, k, hi):
# final element
if hi == 0:
# too big for sack
if I[hi][0] > k:
return 0
# fits
else:
return I[hi][1]
else:
# too big for sack
if I[hi][0] > k:
return knapRecursiveAux(I, k, hi - 1)
# fits
else:
# don't include it
s1 = knapRecursiveAux(I, k, hi - 1)
# include it
s2 = I[hi][1] + knapRecursiveAux(I, k - I[hi][0], hi - 1)
return max(s1, s2)
print(knapRecursive(I, k))
| i = [[4, 8], [4, 7], [6, 14]]
k = 8
def knap_recursive(I, k):
return knap_recursive_aux(I, k, len(I) - 1)
def knap_recursive_aux(I, k, hi):
if hi == 0:
if I[hi][0] > k:
return 0
else:
return I[hi][1]
elif I[hi][0] > k:
return knap_recursive_aux(I, k, hi - 1)
else:
s1 = knap_recursive_aux(I, k, hi - 1)
s2 = I[hi][1] + knap_recursive_aux(I, k - I[hi][0], hi - 1)
return max(s1, s2)
print(knap_recursive(I, k)) |
class Piece(object):
def __init__(self,
is_tall: bool = True,
is_dark: bool = True,
is_square: bool = True,
is_solid: bool = True,
string: str = None):
if string:
self.is_tall = (string[0] == "1")
self.is_dark = (string[1] == "1")
self.is_square = (string[2] == "1")
self.is_solid = (string[3] == "1")
else:
self.is_tall = is_tall
self.is_dark = is_dark
self.is_square = is_square
self.is_solid = is_solid
def __str__(self):
return "{0}{1}{2}{3}".format(
'1' if self.is_tall else '0',
'1' if self.is_dark else '0',
'1' if self.is_square else '0',
'1' if self.is_solid else '0'
)
def __hash__(self):
res = 0
res += 1 if self.is_tall else 0
res += 2 if self.is_dark else 0
res += 4 if self.is_square else 0
res += 8 if self.is_solid else 0
return res
def __eq__(self, other_piece):
if not isinstance(other_piece, type(self)):
return False
return self.__hash__() == other_piece.__hash__()
def has_in_common_with(self, *other_pieces):
all_pieces_are_as_tall = True
all_pieces_are_as_dark = True
all_pieces_are_as_square = True
all_pieces_are_as_solid = True
for p in other_pieces:
if not(self.is_tall == p.is_tall):
all_pieces_are_as_tall = False
if not(self.is_dark == p.is_dark):
all_pieces_are_as_dark = False
if not(self.is_square == p.is_square):
all_pieces_are_as_square = False
if not(self.is_solid == p.is_solid):
all_pieces_are_as_solid = False
return (all_pieces_are_as_tall
or all_pieces_are_as_dark
or all_pieces_are_as_square
or all_pieces_are_as_solid)
if __name__ == "__main__":
pass
| class Piece(object):
def __init__(self, is_tall: bool=True, is_dark: bool=True, is_square: bool=True, is_solid: bool=True, string: str=None):
if string:
self.is_tall = string[0] == '1'
self.is_dark = string[1] == '1'
self.is_square = string[2] == '1'
self.is_solid = string[3] == '1'
else:
self.is_tall = is_tall
self.is_dark = is_dark
self.is_square = is_square
self.is_solid = is_solid
def __str__(self):
return '{0}{1}{2}{3}'.format('1' if self.is_tall else '0', '1' if self.is_dark else '0', '1' if self.is_square else '0', '1' if self.is_solid else '0')
def __hash__(self):
res = 0
res += 1 if self.is_tall else 0
res += 2 if self.is_dark else 0
res += 4 if self.is_square else 0
res += 8 if self.is_solid else 0
return res
def __eq__(self, other_piece):
if not isinstance(other_piece, type(self)):
return False
return self.__hash__() == other_piece.__hash__()
def has_in_common_with(self, *other_pieces):
all_pieces_are_as_tall = True
all_pieces_are_as_dark = True
all_pieces_are_as_square = True
all_pieces_are_as_solid = True
for p in other_pieces:
if not self.is_tall == p.is_tall:
all_pieces_are_as_tall = False
if not self.is_dark == p.is_dark:
all_pieces_are_as_dark = False
if not self.is_square == p.is_square:
all_pieces_are_as_square = False
if not self.is_solid == p.is_solid:
all_pieces_are_as_solid = False
return all_pieces_are_as_tall or all_pieces_are_as_dark or all_pieces_are_as_square or all_pieces_are_as_solid
if __name__ == '__main__':
pass |
"""
# Utilities for interacting with NCBI EUtilities relating to PubMed
"""
__version__ = "0.0.1"
| """
# Utilities for interacting with NCBI EUtilities relating to PubMed
"""
__version__ = '0.0.1' |
x = int(input('Podaj pierwsza liczbe calkowita: '))
y = int(input('Podaj druga liczbe calkowita: '))
z = int(input('Podaj trzecia liczbe calkowita: '))
print()
if x > 10:
print(x)
if y > 10:
print(y)
if z > 10:
print(z) | x = int(input('Podaj pierwsza liczbe calkowita: '))
y = int(input('Podaj druga liczbe calkowita: '))
z = int(input('Podaj trzecia liczbe calkowita: '))
print()
if x > 10:
print(x)
if y > 10:
print(y)
if z > 10:
print(z) |
while True:
try:
dados = []
matriz = []
n = int(input())
for linha in range(0, n):
for coluna in range(0, n):
dados.append(0)
matriz.append(dados[:])
dados.clear()
# Numeros na diagonal
for diagonal_principal in range(0, n):
matriz[diagonal_principal][diagonal_principal] = 2
for diagonal_secundaria in range(0, n):
matriz[diagonal_secundaria][n - 1 - diagonal_secundaria] = 3
# Matriz do numero 1
for linha in range(n // 3, n - n // 3):
for coluna in range(n // 3, n - n // 3):
matriz[linha][coluna] = 1
# Matriz do numero 4
matriz[n // 2][n // 2] = 4
# Print da Matriz completa
for linha in range(0, len(matriz)):
for coluna in range(0, len(matriz)):
if coluna == 0:
print(f"{matriz[linha][coluna]}", end="")
else:
print(f"{matriz[linha][coluna]}", end="")
print()
print()
except EOFError:
break
| while True:
try:
dados = []
matriz = []
n = int(input())
for linha in range(0, n):
for coluna in range(0, n):
dados.append(0)
matriz.append(dados[:])
dados.clear()
for diagonal_principal in range(0, n):
matriz[diagonal_principal][diagonal_principal] = 2
for diagonal_secundaria in range(0, n):
matriz[diagonal_secundaria][n - 1 - diagonal_secundaria] = 3
for linha in range(n // 3, n - n // 3):
for coluna in range(n // 3, n - n // 3):
matriz[linha][coluna] = 1
matriz[n // 2][n // 2] = 4
for linha in range(0, len(matriz)):
for coluna in range(0, len(matriz)):
if coluna == 0:
print(f'{matriz[linha][coluna]}', end='')
else:
print(f'{matriz[linha][coluna]}', end='')
print()
print()
except EOFError:
break |
# query_strings.py
'''
Since Sqlite queries are inserted as string in Python code,
the queries can be stored here to save space in the modules
where they are used.
'''
delete_color_scheme = '''
DELETE FROM color_scheme
WHERE color_scheme_id = ?
'''
insert_color_scheme = '''
INSERT INTO color_scheme
VALUES (null, ?, ?, ?, ?, 0, 0)
'''
select_all_color_schemes = '''
SELECT bg, highlight_bg, head_bg, fg
FROM color_scheme
'''
select_all_color_schemes_plus = '''
SELECT bg, highlight_bg, head_bg, fg, built_in, color_scheme_id
FROM color_scheme
'''
select_color_scheme_current = '''
SELECT bg, highlight_bg, head_bg, fg
FROM format
WHERE format_id = 1
'''
select_current_database = '''
SELECT current_database
FROM closing_state
WHERE closing_state_id = 1
'''
select_font_scheme = '''
SELECT font_size, output_font, input_font
FROM format
WHERE format_id = 1
'''
select_opening_settings = '''
SELECT
bg,
highlight_bg,
head_bg,
fg,
output_font,
input_font,
font_size,
default_bg,
default_highlight_bg,
default_head_bg,
default_fg,
default_output_font,
default_input_font,
default_font_size
FROM format
WHERE format_id = 1
'''
update_color_scheme_null = '''
UPDATE format
SET (bg, highlight_bg, head_bg, fg) =
(null, null, null, null)
WHERE format_id = 1
'''
update_current_database = '''
UPDATE closing_state
SET current_database = ?
WHERE closing_state_id = 1
'''
update_format_color_scheme = '''
UPDATE format
SET (bg, highlight_bg, head_bg, fg) = (?, ?, ?, ?)
WHERE format_id = 1
'''
update_format_fonts = '''
UPDATE format
SET (font_size, output_font, input_font) = (?, ?, ?)
WHERE format_id = 1
'''
| """
Since Sqlite queries are inserted as string in Python code,
the queries can be stored here to save space in the modules
where they are used.
"""
delete_color_scheme = '\n DELETE FROM color_scheme \n WHERE color_scheme_id = ?\n'
insert_color_scheme = '\n INSERT INTO color_scheme \n VALUES (null, ?, ?, ?, ?, 0, 0)\n'
select_all_color_schemes = '\n SELECT bg, highlight_bg, head_bg, fg \n FROM color_scheme\n'
select_all_color_schemes_plus = '\n SELECT bg, highlight_bg, head_bg, fg, built_in, color_scheme_id \n FROM color_scheme\n'
select_color_scheme_current = '\n SELECT bg, highlight_bg, head_bg, fg \n FROM format \n WHERE format_id = 1\n'
select_current_database = '\n SELECT current_database \n FROM closing_state \n WHERE closing_state_id = 1\n'
select_font_scheme = '\n SELECT font_size, output_font, input_font\n FROM format\n WHERE format_id = 1\n'
select_opening_settings = '\n SELECT \n bg,\n highlight_bg,\n head_bg, \n fg,\n output_font,\n input_font, \n font_size,\n default_bg,\n default_highlight_bg,\n default_head_bg, \n default_fg,\n default_output_font,\n default_input_font, \n default_font_size \n FROM format\n WHERE format_id = 1\n'
update_color_scheme_null = '\n UPDATE format \n SET (bg, highlight_bg, head_bg, fg) = \n (null, null, null, null) \n WHERE format_id = 1\n'
update_current_database = '\n UPDATE closing_state \n SET current_database = ? \n WHERE closing_state_id = 1\n'
update_format_color_scheme = '\n UPDATE format \n SET (bg, highlight_bg, head_bg, fg) = (?, ?, ?, ?) \n WHERE format_id = 1 \n'
update_format_fonts = '\n UPDATE format \n SET (font_size, output_font, input_font) = (?, ?, ?) \n WHERE format_id = 1\n' |
"""
HackerRank :: Reverse a singly-linked list
https://www.hackerrank.com/challenges/reverse-a-linked-list/problem
Complete the reverse function below.
For your reference:
SinglyLinkedListNode:
int data
SinglyLinkedListNode next
"""
def reverse(head):
# head node value can be null
# Keep track of previous node
prev_node = None
cur_node = head
# Loop through - while node.next
while cur_node:
# Save node for overwriting cur_node
next_node = cur_node.next
# Set current node's next to prev_node
cur_node.next = prev_node
# Pass previous node to next iteration
prev_node = cur_node
cur_node = next_node
return prev_node
| """
HackerRank :: Reverse a singly-linked list
https://www.hackerrank.com/challenges/reverse-a-linked-list/problem
Complete the reverse function below.
For your reference:
SinglyLinkedListNode:
int data
SinglyLinkedListNode next
"""
def reverse(head):
prev_node = None
cur_node = head
while cur_node:
next_node = cur_node.next
cur_node.next = prev_node
prev_node = cur_node
cur_node = next_node
return prev_node |
# Copyright (c) 2013 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.
{
'variables': {
'chromium_code': 1,
},
'targets': [
{
'target_name': 'gfx',
'type': '<(component)',
'dependencies': [
'<(DEPTH)/base/base.gyp:base',
'<(DEPTH)/base/base.gyp:base_i18n',
'<(DEPTH)/base/base.gyp:base_static',
'<(DEPTH)/base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations',
'<(DEPTH)/net/net.gyp:net',
'<(DEPTH)/skia/skia.gyp:skia',
'<(DEPTH)/third_party/icu/icu.gyp:icui18n',
'<(DEPTH)/third_party/icu/icu.gyp:icuuc',
'<(DEPTH)/third_party/libpng/libpng.gyp:libpng',
'<(DEPTH)/third_party/zlib/zlib.gyp:zlib',
'<(DEPTH)/url/url.gyp:url_lib',
],
# text_elider.h includes ICU headers.
'export_dependent_settings': [
'<(DEPTH)/skia/skia.gyp:skia',
'<(DEPTH)/third_party/icu/icu.gyp:icui18n',
'<(DEPTH)/third_party/icu/icu.gyp:icuuc',
],
'defines': [
'GFX_IMPLEMENTATION',
],
'sources': [
'android/device_display_info.cc',
'android/device_display_info.h',
'android/gfx_jni_registrar.cc',
'android/gfx_jni_registrar.h',
'android/java_bitmap.cc',
'android/java_bitmap.h',
'android/shared_device_display_info.cc',
'android/shared_device_display_info.h',
'animation/animation.cc',
'animation/animation.h',
'animation/animation_container.cc',
'animation/animation_container.h',
'animation/animation_container_element.h',
'animation/animation_container_observer.h',
'animation/animation_delegate.h',
'animation/linear_animation.cc',
'animation/linear_animation.h',
'animation/multi_animation.cc',
'animation/multi_animation.h',
'animation/slide_animation.cc',
'animation/slide_animation.h',
'animation/throb_animation.cc',
'animation/throb_animation.h',
'animation/tween.cc',
'animation/tween.h',
'blit.cc',
'blit.h',
'box_f.cc',
'box_f.h',
'break_list.h',
'canvas.cc',
'canvas.h',
'canvas_android.cc',
'canvas_paint_gtk.cc',
'canvas_paint_gtk.h',
'canvas_paint_mac.h',
'canvas_paint_mac.mm',
'canvas_paint_win.cc',
'canvas_paint_win.h',
'canvas_skia.cc',
'canvas_skia_paint.h',
'codec/jpeg_codec.cc',
'codec/jpeg_codec.h',
'codec/png_codec.cc',
'codec/png_codec.h',
'color_analysis.cc',
'color_analysis.h',
'color_profile.cc',
'color_profile.h',
'color_profile_mac.cc',
'color_profile_win.cc',
'color_utils.cc',
'color_utils.h',
'display.cc',
'display.h',
'display_observer.cc',
'display_observer.h',
'favicon_size.cc',
'favicon_size.h',
'frame_time.h',
'font.cc',
'font.h',
'font_fallback_win.cc',
'font_fallback_win.h',
'font_list.cc',
'font_list.h',
'font_render_params_android.cc',
'font_render_params_linux.cc',
'font_render_params_linux.h',
'font_smoothing_win.cc',
'font_smoothing_win.h',
'gfx_export.h',
'gfx_paths.cc',
'gfx_paths.h',
'gpu_memory_buffer.cc',
'gpu_memory_buffer.h',
'image/canvas_image_source.cc',
'image/canvas_image_source.h',
'image/image.cc',
'image/image.h',
'image/image_family.cc',
'image/image_family.h',
'image/image_ios.mm',
'image/image_mac.mm',
'image/image_png_rep.cc',
'image/image_png_rep.h',
'image/image_skia.cc',
'image/image_skia.h',
'image/image_skia_operations.cc',
'image/image_skia_operations.h',
'image/image_skia_rep.cc',
'image/image_skia_rep.h',
'image/image_skia_source.h',
'image/image_skia_util_ios.h',
'image/image_skia_util_ios.mm',
'image/image_skia_util_mac.h',
'image/image_skia_util_mac.mm',
'image/image_util.cc',
'image/image_util.h',
'image/image_util_ios.mm',
'insets.cc',
'insets.h',
'insets_base.h',
'insets_f.cc',
'insets_f.h',
'interpolated_transform.cc',
'interpolated_transform.h',
'mac/scoped_ns_disable_screen_updates.h',
'matrix3_f.cc',
'matrix3_f.h',
'native_widget_types.h',
'ozone/dri/dri_skbitmap.cc',
'ozone/dri/dri_skbitmap.h',
'ozone/dri/dri_surface.cc',
'ozone/dri/dri_surface.h',
'ozone/dri/dri_surface_factory.cc',
'ozone/dri/dri_surface_factory.h',
'ozone/dri/dri_wrapper.cc',
'ozone/dri/dri_wrapper.h',
'ozone/dri/hardware_display_controller.cc',
'ozone/dri/hardware_display_controller.h',
'ozone/impl/file_surface_factory.cc',
'ozone/impl/file_surface_factory.h',
'ozone/surface_factory_ozone.cc',
'ozone/surface_factory_ozone.h',
'pango_util.cc',
'pango_util.h',
'path.cc',
'path.h',
'path_aura.cc',
'path_gtk.cc',
'path_win.cc',
'path_win.h',
'path_x11.cc',
'path_x11.h',
'platform_font.h',
'platform_font_android.cc',
'platform_font_ios.h',
'platform_font_ios.mm',
'platform_font_mac.h',
'platform_font_mac.mm',
'platform_font_ozone.cc',
'platform_font_pango.cc',
'platform_font_pango.h',
'platform_font_win.cc',
'platform_font_win.h',
'point.cc',
'point.h',
'point3_f.cc',
'point3_f.h',
'point_base.h',
'point_conversions.cc',
'point_conversions.h',
'point_f.cc',
'point_f.h',
'quad_f.cc',
'quad_f.h',
'range/range.cc',
'range/range.h',
'range/range_mac.mm',
'range/range_win.cc',
'rect.cc',
'rect.h',
'rect_base.h',
'rect_base_impl.h',
'rect_conversions.cc',
'rect_conversions.h',
'rect_f.cc',
'rect_f.h',
'render_text.cc',
'render_text.h',
'render_text_mac.cc',
'render_text_mac.h',
'render_text_ozone.cc',
'render_text_pango.cc',
'render_text_pango.h',
'render_text_win.cc',
'render_text_win.h',
'safe_integer_conversions.h',
'scoped_canvas.h',
'scoped_cg_context_save_gstate_mac.h',
'scoped_ns_graphics_context_save_gstate_mac.h',
'scoped_ns_graphics_context_save_gstate_mac.mm',
'scoped_ui_graphics_push_context_ios.h',
'scoped_ui_graphics_push_context_ios.mm',
'screen.cc',
'screen.h',
'screen_android.cc',
'screen_aura.cc',
'screen_gtk.cc',
'screen_ios.mm',
'screen_mac.mm',
'screen_win.cc',
'screen_win.h',
'scrollbar_size.cc',
'scrollbar_size.h',
'selection_model.cc',
'selection_model.h',
'sequential_id_generator.cc',
'sequential_id_generator.h',
'shadow_value.cc',
'shadow_value.h',
'size.cc',
'size.h',
'size_base.h',
'size_conversions.cc',
'size_conversions.h',
'size_f.cc',
'size_f.h',
'skbitmap_operations.cc',
'skbitmap_operations.h',
'skia_util.cc',
'skia_util.h',
'skia_utils_gtk.cc',
'skia_utils_gtk.h',
'switches.cc',
'switches.h',
'sys_color_change_listener.cc',
'sys_color_change_listener.h',
'text_constants.h',
'text_elider.cc',
'text_elider.h',
'text_utils.cc',
'text_utils.h',
'text_utils_android.cc',
'text_utils_ios.mm',
'text_utils_skia.cc',
'transform.cc',
'transform.h',
'transform_util.cc',
'transform_util.h',
'utf16_indexing.cc',
'utf16_indexing.h',
'vector2d.cc',
'vector2d.h',
'vector2d_conversions.cc',
'vector2d_conversions.h',
'vector2d_f.cc',
'vector2d_f.h',
'vector3d_f.cc',
'vector3d_f.h',
'win/dpi.cc',
'win/dpi.h',
'win/hwnd_util.cc',
'win/hwnd_util.h',
'win/scoped_set_map_mode.h',
'win/singleton_hwnd.cc',
'win/singleton_hwnd.h',
'win/window_impl.cc',
'win/window_impl.h',
'x/x11_atom_cache.cc',
'x/x11_atom_cache.h',
'x/x11_types.cc',
'x/x11_types.h',
],
'conditions': [
['OS=="ios"', {
# iOS only uses a subset of UI.
'sources/': [
['exclude', '^codec/jpeg_codec\\.cc$'],
],
}, {
'dependencies': [
'<(libjpeg_gyp_path):libjpeg',
],
}],
# TODO(asvitkine): Switch all platforms to use canvas_skia.cc.
# http://crbug.com/105550
['use_canvas_skia==1', {
'sources!': [
'canvas_android.cc',
],
}, { # use_canvas_skia!=1
'sources!': [
'canvas_skia.cc',
],
}],
['toolkit_uses_gtk == 1', {
'dependencies': [
'<(DEPTH)/build/linux/system.gyp:gtk',
],
'sources': [
'gtk_native_view_id_manager.cc',
'gtk_native_view_id_manager.h',
'gtk_preserve_window.cc',
'gtk_preserve_window.h',
'gdk_compat.h',
'gtk_compat.h',
'gtk_util.cc',
'gtk_util.h',
'image/cairo_cached_surface.cc',
'image/cairo_cached_surface.h',
'scoped_gobject.h',
],
}],
['OS=="win"', {
'sources': [
'gdi_util.cc',
'gdi_util.h',
'icon_util.cc',
'icon_util.h',
],
# TODO(jschuh): C4267: http://crbug.com/167187 size_t -> int
# C4324 is structure was padded due to __declspec(align()), which is
# uninteresting.
'msvs_disabled_warnings': [ 4267, 4324 ],
}],
['OS=="android"', {
'sources!': [
'animation/throb_animation.cc',
'display_observer.cc',
'path.cc',
'selection_model.cc',
],
'dependencies': [
'gfx_jni_headers',
],
'link_settings': {
'libraries': [
'-landroid',
'-ljnigraphics',
],
},
}],
['OS=="android" and android_webview_build==0', {
'dependencies': [
'<(DEPTH)/base/base.gyp:base_java',
],
}],
['OS=="android" or OS=="ios"', {
'sources!': [
'render_text.cc',
'render_text.h',
'text_utils_skia.cc',
],
}],
['use_pango==1', {
'dependencies': [
'<(DEPTH)/build/linux/system.gyp:pangocairo',
],
}],
['ozone_platform_dri==1', {
'dependencies': [
'<(DEPTH)/build/linux/system.gyp:dridrm',
],
}],
],
'target_conditions': [
# Need 'target_conditions' to override default filename_rules to include
# the file on iOS.
['OS == "ios"', {
'sources/': [
['include', '^scoped_cg_context_save_gstate_mac\\.h$'],
],
}],
],
}
],
'conditions': [
['OS=="android"' , {
'targets': [
{
'target_name': 'gfx_jni_headers',
'type': 'none',
'direct_dependent_settings': {
'include_dirs': [
'<(SHARED_INTERMEDIATE_DIR)/ui/gfx',
],
},
'sources': [
'../android/java/src/org/chromium/ui/gfx/BitmapHelper.java',
'../android/java/src/org/chromium/ui/gfx/DeviceDisplayInfo.java',
],
'variables': {
'jni_gen_package': 'ui/gfx',
'jni_generator_ptr_type': 'long',
},
'includes': [ '../../build/jni_generator.gypi' ],
},
],
}],
],
}
| {'variables': {'chromium_code': 1}, 'targets': [{'target_name': 'gfx', 'type': '<(component)', 'dependencies': ['<(DEPTH)/base/base.gyp:base', '<(DEPTH)/base/base.gyp:base_i18n', '<(DEPTH)/base/base.gyp:base_static', '<(DEPTH)/base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations', '<(DEPTH)/net/net.gyp:net', '<(DEPTH)/skia/skia.gyp:skia', '<(DEPTH)/third_party/icu/icu.gyp:icui18n', '<(DEPTH)/third_party/icu/icu.gyp:icuuc', '<(DEPTH)/third_party/libpng/libpng.gyp:libpng', '<(DEPTH)/third_party/zlib/zlib.gyp:zlib', '<(DEPTH)/url/url.gyp:url_lib'], 'export_dependent_settings': ['<(DEPTH)/skia/skia.gyp:skia', '<(DEPTH)/third_party/icu/icu.gyp:icui18n', '<(DEPTH)/third_party/icu/icu.gyp:icuuc'], 'defines': ['GFX_IMPLEMENTATION'], 'sources': ['android/device_display_info.cc', 'android/device_display_info.h', 'android/gfx_jni_registrar.cc', 'android/gfx_jni_registrar.h', 'android/java_bitmap.cc', 'android/java_bitmap.h', 'android/shared_device_display_info.cc', 'android/shared_device_display_info.h', 'animation/animation.cc', 'animation/animation.h', 'animation/animation_container.cc', 'animation/animation_container.h', 'animation/animation_container_element.h', 'animation/animation_container_observer.h', 'animation/animation_delegate.h', 'animation/linear_animation.cc', 'animation/linear_animation.h', 'animation/multi_animation.cc', 'animation/multi_animation.h', 'animation/slide_animation.cc', 'animation/slide_animation.h', 'animation/throb_animation.cc', 'animation/throb_animation.h', 'animation/tween.cc', 'animation/tween.h', 'blit.cc', 'blit.h', 'box_f.cc', 'box_f.h', 'break_list.h', 'canvas.cc', 'canvas.h', 'canvas_android.cc', 'canvas_paint_gtk.cc', 'canvas_paint_gtk.h', 'canvas_paint_mac.h', 'canvas_paint_mac.mm', 'canvas_paint_win.cc', 'canvas_paint_win.h', 'canvas_skia.cc', 'canvas_skia_paint.h', 'codec/jpeg_codec.cc', 'codec/jpeg_codec.h', 'codec/png_codec.cc', 'codec/png_codec.h', 'color_analysis.cc', 'color_analysis.h', 'color_profile.cc', 'color_profile.h', 'color_profile_mac.cc', 'color_profile_win.cc', 'color_utils.cc', 'color_utils.h', 'display.cc', 'display.h', 'display_observer.cc', 'display_observer.h', 'favicon_size.cc', 'favicon_size.h', 'frame_time.h', 'font.cc', 'font.h', 'font_fallback_win.cc', 'font_fallback_win.h', 'font_list.cc', 'font_list.h', 'font_render_params_android.cc', 'font_render_params_linux.cc', 'font_render_params_linux.h', 'font_smoothing_win.cc', 'font_smoothing_win.h', 'gfx_export.h', 'gfx_paths.cc', 'gfx_paths.h', 'gpu_memory_buffer.cc', 'gpu_memory_buffer.h', 'image/canvas_image_source.cc', 'image/canvas_image_source.h', 'image/image.cc', 'image/image.h', 'image/image_family.cc', 'image/image_family.h', 'image/image_ios.mm', 'image/image_mac.mm', 'image/image_png_rep.cc', 'image/image_png_rep.h', 'image/image_skia.cc', 'image/image_skia.h', 'image/image_skia_operations.cc', 'image/image_skia_operations.h', 'image/image_skia_rep.cc', 'image/image_skia_rep.h', 'image/image_skia_source.h', 'image/image_skia_util_ios.h', 'image/image_skia_util_ios.mm', 'image/image_skia_util_mac.h', 'image/image_skia_util_mac.mm', 'image/image_util.cc', 'image/image_util.h', 'image/image_util_ios.mm', 'insets.cc', 'insets.h', 'insets_base.h', 'insets_f.cc', 'insets_f.h', 'interpolated_transform.cc', 'interpolated_transform.h', 'mac/scoped_ns_disable_screen_updates.h', 'matrix3_f.cc', 'matrix3_f.h', 'native_widget_types.h', 'ozone/dri/dri_skbitmap.cc', 'ozone/dri/dri_skbitmap.h', 'ozone/dri/dri_surface.cc', 'ozone/dri/dri_surface.h', 'ozone/dri/dri_surface_factory.cc', 'ozone/dri/dri_surface_factory.h', 'ozone/dri/dri_wrapper.cc', 'ozone/dri/dri_wrapper.h', 'ozone/dri/hardware_display_controller.cc', 'ozone/dri/hardware_display_controller.h', 'ozone/impl/file_surface_factory.cc', 'ozone/impl/file_surface_factory.h', 'ozone/surface_factory_ozone.cc', 'ozone/surface_factory_ozone.h', 'pango_util.cc', 'pango_util.h', 'path.cc', 'path.h', 'path_aura.cc', 'path_gtk.cc', 'path_win.cc', 'path_win.h', 'path_x11.cc', 'path_x11.h', 'platform_font.h', 'platform_font_android.cc', 'platform_font_ios.h', 'platform_font_ios.mm', 'platform_font_mac.h', 'platform_font_mac.mm', 'platform_font_ozone.cc', 'platform_font_pango.cc', 'platform_font_pango.h', 'platform_font_win.cc', 'platform_font_win.h', 'point.cc', 'point.h', 'point3_f.cc', 'point3_f.h', 'point_base.h', 'point_conversions.cc', 'point_conversions.h', 'point_f.cc', 'point_f.h', 'quad_f.cc', 'quad_f.h', 'range/range.cc', 'range/range.h', 'range/range_mac.mm', 'range/range_win.cc', 'rect.cc', 'rect.h', 'rect_base.h', 'rect_base_impl.h', 'rect_conversions.cc', 'rect_conversions.h', 'rect_f.cc', 'rect_f.h', 'render_text.cc', 'render_text.h', 'render_text_mac.cc', 'render_text_mac.h', 'render_text_ozone.cc', 'render_text_pango.cc', 'render_text_pango.h', 'render_text_win.cc', 'render_text_win.h', 'safe_integer_conversions.h', 'scoped_canvas.h', 'scoped_cg_context_save_gstate_mac.h', 'scoped_ns_graphics_context_save_gstate_mac.h', 'scoped_ns_graphics_context_save_gstate_mac.mm', 'scoped_ui_graphics_push_context_ios.h', 'scoped_ui_graphics_push_context_ios.mm', 'screen.cc', 'screen.h', 'screen_android.cc', 'screen_aura.cc', 'screen_gtk.cc', 'screen_ios.mm', 'screen_mac.mm', 'screen_win.cc', 'screen_win.h', 'scrollbar_size.cc', 'scrollbar_size.h', 'selection_model.cc', 'selection_model.h', 'sequential_id_generator.cc', 'sequential_id_generator.h', 'shadow_value.cc', 'shadow_value.h', 'size.cc', 'size.h', 'size_base.h', 'size_conversions.cc', 'size_conversions.h', 'size_f.cc', 'size_f.h', 'skbitmap_operations.cc', 'skbitmap_operations.h', 'skia_util.cc', 'skia_util.h', 'skia_utils_gtk.cc', 'skia_utils_gtk.h', 'switches.cc', 'switches.h', 'sys_color_change_listener.cc', 'sys_color_change_listener.h', 'text_constants.h', 'text_elider.cc', 'text_elider.h', 'text_utils.cc', 'text_utils.h', 'text_utils_android.cc', 'text_utils_ios.mm', 'text_utils_skia.cc', 'transform.cc', 'transform.h', 'transform_util.cc', 'transform_util.h', 'utf16_indexing.cc', 'utf16_indexing.h', 'vector2d.cc', 'vector2d.h', 'vector2d_conversions.cc', 'vector2d_conversions.h', 'vector2d_f.cc', 'vector2d_f.h', 'vector3d_f.cc', 'vector3d_f.h', 'win/dpi.cc', 'win/dpi.h', 'win/hwnd_util.cc', 'win/hwnd_util.h', 'win/scoped_set_map_mode.h', 'win/singleton_hwnd.cc', 'win/singleton_hwnd.h', 'win/window_impl.cc', 'win/window_impl.h', 'x/x11_atom_cache.cc', 'x/x11_atom_cache.h', 'x/x11_types.cc', 'x/x11_types.h'], 'conditions': [['OS=="ios"', {'sources/': [['exclude', '^codec/jpeg_codec\\.cc$']]}, {'dependencies': ['<(libjpeg_gyp_path):libjpeg']}], ['use_canvas_skia==1', {'sources!': ['canvas_android.cc']}, {'sources!': ['canvas_skia.cc']}], ['toolkit_uses_gtk == 1', {'dependencies': ['<(DEPTH)/build/linux/system.gyp:gtk'], 'sources': ['gtk_native_view_id_manager.cc', 'gtk_native_view_id_manager.h', 'gtk_preserve_window.cc', 'gtk_preserve_window.h', 'gdk_compat.h', 'gtk_compat.h', 'gtk_util.cc', 'gtk_util.h', 'image/cairo_cached_surface.cc', 'image/cairo_cached_surface.h', 'scoped_gobject.h']}], ['OS=="win"', {'sources': ['gdi_util.cc', 'gdi_util.h', 'icon_util.cc', 'icon_util.h'], 'msvs_disabled_warnings': [4267, 4324]}], ['OS=="android"', {'sources!': ['animation/throb_animation.cc', 'display_observer.cc', 'path.cc', 'selection_model.cc'], 'dependencies': ['gfx_jni_headers'], 'link_settings': {'libraries': ['-landroid', '-ljnigraphics']}}], ['OS=="android" and android_webview_build==0', {'dependencies': ['<(DEPTH)/base/base.gyp:base_java']}], ['OS=="android" or OS=="ios"', {'sources!': ['render_text.cc', 'render_text.h', 'text_utils_skia.cc']}], ['use_pango==1', {'dependencies': ['<(DEPTH)/build/linux/system.gyp:pangocairo']}], ['ozone_platform_dri==1', {'dependencies': ['<(DEPTH)/build/linux/system.gyp:dridrm']}]], 'target_conditions': [['OS == "ios"', {'sources/': [['include', '^scoped_cg_context_save_gstate_mac\\.h$']]}]]}], 'conditions': [['OS=="android"', {'targets': [{'target_name': 'gfx_jni_headers', 'type': 'none', 'direct_dependent_settings': {'include_dirs': ['<(SHARED_INTERMEDIATE_DIR)/ui/gfx']}, 'sources': ['../android/java/src/org/chromium/ui/gfx/BitmapHelper.java', '../android/java/src/org/chromium/ui/gfx/DeviceDisplayInfo.java'], 'variables': {'jni_gen_package': 'ui/gfx', 'jni_generator_ptr_type': 'long'}, 'includes': ['../../build/jni_generator.gypi']}]}]]} |
"""
113 / 113 test cases passed.
Runtime: 92 ms
Memory Usage: 16.4 MB
"""
class Solution:
def pacificAtlantic(self, heights: List[List[int]]) -> List[List[int]]:
m, n = len(heights), len(heights[0])
def dfs(used, x, y):
used[x][y] = True
for xx, yy in [(x + 1, y), (x - 1, y), (x, y + 1), (x, y - 1)]:
if 0 <= xx < m and 0 <= yy < n and not used[xx][yy] and heights[xx][yy] >= heights[x][y]:
dfs(used, xx, yy)
pacific_used = [[False] * n for _ in range(m)]
atlantic_used = [[False] * n for _ in range(m)]
for i in range(m):
dfs(pacific_used, i, 0)
dfs(atlantic_used, i, n - 1)
for i in range(n):
dfs(pacific_used, 0, i)
dfs(atlantic_used, m - 1, i)
ans = []
for i in range(m):
for j in range(n):
if pacific_used[i][j] and atlantic_used[i][j]:
ans.append([i, j])
return ans
| """
113 / 113 test cases passed.
Runtime: 92 ms
Memory Usage: 16.4 MB
"""
class Solution:
def pacific_atlantic(self, heights: List[List[int]]) -> List[List[int]]:
(m, n) = (len(heights), len(heights[0]))
def dfs(used, x, y):
used[x][y] = True
for (xx, yy) in [(x + 1, y), (x - 1, y), (x, y + 1), (x, y - 1)]:
if 0 <= xx < m and 0 <= yy < n and (not used[xx][yy]) and (heights[xx][yy] >= heights[x][y]):
dfs(used, xx, yy)
pacific_used = [[False] * n for _ in range(m)]
atlantic_used = [[False] * n for _ in range(m)]
for i in range(m):
dfs(pacific_used, i, 0)
dfs(atlantic_used, i, n - 1)
for i in range(n):
dfs(pacific_used, 0, i)
dfs(atlantic_used, m - 1, i)
ans = []
for i in range(m):
for j in range(n):
if pacific_used[i][j] and atlantic_used[i][j]:
ans.append([i, j])
return ans |
__all__ = (
'LIST',
'GET',
'CREATE',
'UPDATE',
'REPLACE',
'DELETE',
'ALL',
'get_http_methods'
)
LIST = 'list'
GET = 'get'
CREATE = 'create'
REPLACE = 'replace'
UPDATE = 'update'
DELETE = 'delete'
ALL = (LIST, GET, CREATE, UPDATE, REPLACE, DELETE)
_http_methods = {
LIST: ('get',),
GET: ('get',),
CREATE: ('post',),
REPLACE: ('put',),
UPDATE: ('patch',),
DELETE: ('delete',)
}
def get_http_methods(method):
return _http_methods[method]
| __all__ = ('LIST', 'GET', 'CREATE', 'UPDATE', 'REPLACE', 'DELETE', 'ALL', 'get_http_methods')
list = 'list'
get = 'get'
create = 'create'
replace = 'replace'
update = 'update'
delete = 'delete'
all = (LIST, GET, CREATE, UPDATE, REPLACE, DELETE)
_http_methods = {LIST: ('get',), GET: ('get',), CREATE: ('post',), REPLACE: ('put',), UPDATE: ('patch',), DELETE: ('delete',)}
def get_http_methods(method):
return _http_methods[method] |
# -*- coding: utf-8 -*-
"""
Created on 2017/11/18
@author: MG
"""
| """
Created on 2017/11/18
@author: MG
""" |
"""
Rackspace Cloud Backup API
Test Suite
"""
| """
Rackspace Cloud Backup API
Test Suite
""" |
#!/usr/bin/env python3
if __name__ == '__main__':
# Python can represent integers. Here are a couple of ways to create an integer variable. Notice the truncation,
# rather than rounding, in the assignment of d.
a = 5
b = int()
c = int(4)
d = int(3.84)
print(a, b, c, d)
# Integers have the usual math operations. Note that division will return a float, but others will preserve the
# integer type. The type() function can tell you the type of a variable. You should try to avoid using this
# function in your code.
print('\ndivision')
a = 10
b = 10 / 5
print(b, type(b))
# We can force integer division with //. Note that this will truncate results.
print('\nInteger division')
a = 10
b = 10 // 5
print(b, type(b))
a = 10
b = 10 // 3
print(b, type(b))
# We can also calculate the remainder
n = 10
m = 3
div = n // m
rem = n % m
print('\n{0} = {1} * {2} + {3}'.format(n, div, m, rem))
| if __name__ == '__main__':
a = 5
b = int()
c = int(4)
d = int(3.84)
print(a, b, c, d)
print('\ndivision')
a = 10
b = 10 / 5
print(b, type(b))
print('\nInteger division')
a = 10
b = 10 // 5
print(b, type(b))
a = 10
b = 10 // 3
print(b, type(b))
n = 10
m = 3
div = n // m
rem = n % m
print('\n{0} = {1} * {2} + {3}'.format(n, div, m, rem)) |
def test():
obj = { 'xxx1': 1, 'xxx2': 2, 'xxx3': 4, 'xxx4': 4, 'foo': 123 }
i = 0
while i < 1e7:
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
i += 1
test()
| def test():
obj = {'xxx1': 1, 'xxx2': 2, 'xxx3': 4, 'xxx4': 4, 'foo': 123}
i = 0
while i < 10000000.0:
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
obj['foo'] = 234
i += 1
test() |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
"""
"""
__author__ = 'joscha'
__date__ = '03.08.12'
| """
"""
__author__ = 'joscha'
__date__ = '03.08.12' |
counter_name = 'I0_PIN'
Size = wx.Size(1007, 726)
logfile = '/net/helix/data/anfinrud_1502/Logfiles/I0_PIN-2.log'
average_count = 1
max_value = 11
min_value = 0
start_fraction = 0.401
reject_outliers = False
outlier_cutoff = 2.5
show_statistics = True
time_window = 172800
| counter_name = 'I0_PIN'
size = wx.Size(1007, 726)
logfile = '/net/helix/data/anfinrud_1502/Logfiles/I0_PIN-2.log'
average_count = 1
max_value = 11
min_value = 0
start_fraction = 0.401
reject_outliers = False
outlier_cutoff = 2.5
show_statistics = True
time_window = 172800 |
print("I will now count my chickens:")
print ("Hens",25+30/6)
print ("Roosters",100-25*3%4)
print("How I will count the eggs:")
print(3+2+1-5+4%2-1/4+6)
print("Is it true that 3+2<5-7?")
print(3+2<5-7)
print("What is 3+2?", 3+2)
print("What is 5-7?", 5-7)
print("Oh,that's why it's false")
print("How about some more.")
print("Is it greater?",5>-2)
print("Is it greater or equal?",5>=-2)
print("Is it less or equal?",5<=-2)
| print('I will now count my chickens:')
print('Hens', 25 + 30 / 6)
print('Roosters', 100 - 25 * 3 % 4)
print('How I will count the eggs:')
print(3 + 2 + 1 - 5 + 4 % 2 - 1 / 4 + 6)
print('Is it true that 3+2<5-7?')
print(3 + 2 < 5 - 7)
print('What is 3+2?', 3 + 2)
print('What is 5-7?', 5 - 7)
print("Oh,that's why it's false")
print('How about some more.')
print('Is it greater?', 5 > -2)
print('Is it greater or equal?', 5 >= -2)
print('Is it less or equal?', 5 <= -2) |
#! /usr/bin/env python
"""
Learning Series: Network Programmability Basics
Module: Programming Fundamentals
Lesson: Python Part 2
Author: Hank Preston <hapresto@cisco.com>
common_vars.py
Illustrate the following concepts:
- Code reuse
imported into other examples
"""
shapes = ["square", "triangle", "circle"]
books = [
{
"title": "War and Peace",
"shelf": 3,
"available": True
},
{
"title": "Hamlet",
"shelf": 1,
"available": False
},
{
"title": "Harold and the Purple Crayon",
"shelf": 2,
"available": True
}
]
colors = ["blue", "green", "red"]
| """
Learning Series: Network Programmability Basics
Module: Programming Fundamentals
Lesson: Python Part 2
Author: Hank Preston <hapresto@cisco.com>
common_vars.py
Illustrate the following concepts:
- Code reuse
imported into other examples
"""
shapes = ['square', 'triangle', 'circle']
books = [{'title': 'War and Peace', 'shelf': 3, 'available': True}, {'title': 'Hamlet', 'shelf': 1, 'available': False}, {'title': 'Harold and the Purple Crayon', 'shelf': 2, 'available': True}]
colors = ['blue', 'green', 'red'] |
# -*- coding: utf-8 -*-
"""
Created on Wed May 27 18:48:24 2020
@author: Christopher Cheng
"""
class Stack(object):
def __init__ (self):
self.stack = []
def get_stack_elements(self):
return self.stack.copy()
def add_one(self, item):
self.stack.append(item)
def add_many(self,item,n): # item is still a single string, n times
for i in range (n):
self.stack.append(item)
def remove_one(self):
self.stack.pop()
def remove_many(self,n):
for i in range(n):
self.stack.pop()
def size(self):
return len(self.stack)
def prettyprint(self):
for thing in self.stack[::-1]:
print("|_", thing,"_|")
def add_list(self, L):
for e in L:
self.stack.append(e)
def __str__ (self):
ret = ""
for thing in self.stack[::-1]:
ret += ("|_" + str(thing) + "_|\n")
return ret
class Circle (object):
def __init__(self):
self.radius = 0
def change_radius(self, radius):
self.radius = radius
def get_radius (self):
return self.radius
def __str__(self):
return "circle: " + str(self.radius)
circles = Stack()
one_circle = Circle()
one_circle.change_radius(1)
circles.add_one(one_circle)
two_circle = Circle()
two_circle.change_radius(2)
circles.add_one(two_circle)
print(circles) | """
Created on Wed May 27 18:48:24 2020
@author: Christopher Cheng
"""
class Stack(object):
def __init__(self):
self.stack = []
def get_stack_elements(self):
return self.stack.copy()
def add_one(self, item):
self.stack.append(item)
def add_many(self, item, n):
for i in range(n):
self.stack.append(item)
def remove_one(self):
self.stack.pop()
def remove_many(self, n):
for i in range(n):
self.stack.pop()
def size(self):
return len(self.stack)
def prettyprint(self):
for thing in self.stack[::-1]:
print('|_', thing, '_|')
def add_list(self, L):
for e in L:
self.stack.append(e)
def __str__(self):
ret = ''
for thing in self.stack[::-1]:
ret += '|_' + str(thing) + '_|\n'
return ret
class Circle(object):
def __init__(self):
self.radius = 0
def change_radius(self, radius):
self.radius = radius
def get_radius(self):
return self.radius
def __str__(self):
return 'circle: ' + str(self.radius)
circles = stack()
one_circle = circle()
one_circle.change_radius(1)
circles.add_one(one_circle)
two_circle = circle()
two_circle.change_radius(2)
circles.add_one(two_circle)
print(circles) |
def wordPower(word):
num = dict(zip(string.ascii_lowercase, range(1,27)))
return sum([num[ch] for ch in word])
| def word_power(word):
num = dict(zip(string.ascii_lowercase, range(1, 27)))
return sum([num[ch] for ch in word]) |
"""
Profile ../profile-datasets-py/div83/027.py
file automaticaly created by prof_gen.py script
"""
self["ID"] = "../profile-datasets-py/div83/027.py"
self["Q"] = numpy.array([ 1.51831800e+00, 2.02599600e+00, 2.94787100e+00,
3.99669400e+00, 4.71653800e+00, 4.89106600e+00,
5.14399400e+00, 5.67274800e+00, 6.02338400e+00,
6.09836300e+00, 6.08376300e+00, 6.01126400e+00,
5.91866500e+00, 5.77584700e+00, 5.59481900e+00,
5.41637100e+00, 5.26750200e+00, 5.10689400e+00,
4.98576500e+00, 4.90039600e+00, 4.80689700e+00,
4.63989800e+00, 4.46443000e+00, 4.30135100e+00,
4.16606300e+00, 4.06766300e+00, 4.01361400e+00,
3.95640400e+00, 3.87825500e+00, 3.79394600e+00,
3.73623600e+00, 3.72919600e+00, 3.74067600e+00,
3.78187600e+00, 3.81900500e+00, 3.85233500e+00,
3.88512500e+00, 3.91148500e+00, 3.92466500e+00,
3.92849500e+00, 3.93905400e+00, 3.97355400e+00,
4.02951400e+00, 4.05710400e+00, 4.04558400e+00,
4.02228400e+00, 4.01040400e+00, 4.00572400e+00,
4.00641400e+00, 4.08608300e+00, 4.44130000e+00,
5.00126500e+00, 5.73600700e+00, 6.83860300e+00,
8.34002000e+00, 9.95999100e+00, 1.13537700e+01,
1.24435500e+01, 1.36048100e+01, 1.55239600e+01,
1.77784800e+01, 1.93991200e+01, 2.00516000e+01,
1.97941100e+01, 1.89638400e+01, 1.84148600e+01,
1.82331700e+01, 1.84861600e+01, 2.02668900e+01,
3.24805400e+01, 6.31028200e+01, 1.09865900e+02,
1.71694500e+02, 2.41407700e+02, 3.05073900e+02,
3.60772800e+02, 4.04902000e+02, 4.16543400e+02,
4.04623200e+02, 3.59892400e+02, 3.06567000e+02,
3.03443900e+02, 4.25764600e+02, 8.75110500e+02,
1.60701300e+03, 2.52645100e+03, 3.50894400e+03,
4.39830900e+03, 5.05090900e+03, 5.40195000e+03,
5.54486300e+03, 5.86218200e+03, 6.10752900e+03,
6.83105600e+03, 6.63557500e+03, 6.44820100e+03,
6.26853800e+03, 6.09616900e+03, 5.93072700e+03,
5.77187200e+03, 5.61926500e+03])
self["P"] = numpy.array([ 5.00000000e-03, 1.61000000e-02, 3.84000000e-02,
7.69000000e-02, 1.37000000e-01, 2.24400000e-01,
3.45400000e-01, 5.06400000e-01, 7.14000000e-01,
9.75300000e-01, 1.29720000e+00, 1.68720000e+00,
2.15260000e+00, 2.70090000e+00, 3.33980000e+00,
4.07700000e+00, 4.92040000e+00, 5.87760000e+00,
6.95670000e+00, 8.16550000e+00, 9.51190000e+00,
1.10038000e+01, 1.26492000e+01, 1.44559000e+01,
1.64318000e+01, 1.85847000e+01, 2.09224000e+01,
2.34526000e+01, 2.61829000e+01, 2.91210000e+01,
3.22744000e+01, 3.56505000e+01, 3.92566000e+01,
4.31001000e+01, 4.71882000e+01, 5.15278000e+01,
5.61260000e+01, 6.09895000e+01, 6.61253000e+01,
7.15398000e+01, 7.72396000e+01, 8.32310000e+01,
8.95204000e+01, 9.61138000e+01, 1.03017000e+02,
1.10237000e+02, 1.17778000e+02, 1.25646000e+02,
1.33846000e+02, 1.42385000e+02, 1.51266000e+02,
1.60496000e+02, 1.70078000e+02, 1.80018000e+02,
1.90320000e+02, 2.00989000e+02, 2.12028000e+02,
2.23442000e+02, 2.35234000e+02, 2.47408000e+02,
2.59969000e+02, 2.72919000e+02, 2.86262000e+02,
3.00000000e+02, 3.14137000e+02, 3.28675000e+02,
3.43618000e+02, 3.58966000e+02, 3.74724000e+02,
3.90893000e+02, 4.07474000e+02, 4.24470000e+02,
4.41882000e+02, 4.59712000e+02, 4.77961000e+02,
4.96630000e+02, 5.15720000e+02, 5.35232000e+02,
5.55167000e+02, 5.75525000e+02, 5.96306000e+02,
6.17511000e+02, 6.39140000e+02, 6.61192000e+02,
6.83667000e+02, 7.06565000e+02, 7.29886000e+02,
7.53628000e+02, 7.77790000e+02, 8.02371000e+02,
8.27371000e+02, 8.52788000e+02, 8.78620000e+02,
9.04866000e+02, 9.31524000e+02, 9.58591000e+02,
9.86067000e+02, 1.01395000e+03, 1.04223000e+03,
1.07092000e+03, 1.10000000e+03])
self["CO2"] = numpy.array([ 375.9234, 375.9232, 375.9219, 375.9195, 375.9172, 375.9142,
375.9041, 375.8819, 375.8607, 375.8617, 375.8997, 375.9717,
376.0398, 376.0858, 376.1489, 376.212 , 376.224 , 376.2321,
376.2481, 376.2772, 376.3252, 376.3663, 376.4023, 376.4224,
376.4504, 376.4865, 376.5545, 376.6335, 376.7605, 376.8966,
377.0446, 377.2036, 377.3766, 377.5606, 377.7106, 377.8485,
378.0765, 378.4945, 378.9365, 379.6475, 380.4225, 381.0245,
381.4085, 381.8025, 381.8315, 381.8625, 381.8985, 381.9405,
381.9845, 382.0364, 382.0903, 382.5651, 383.1618, 383.8894,
384.7668, 385.5962, 386.1156, 386.6532, 386.7607, 386.854 ,
386.8701, 386.8645, 386.8732, 386.8913, 386.9157, 386.9449,
386.9669, 386.9788, 386.9602, 386.9034, 386.8186, 386.7075,
386.6086, 386.5187, 386.4681, 386.4315, 386.4595, 386.5189,
386.6375, 386.8447, 387.1073, 387.3124, 387.433 , 387.3937,
387.2297, 386.9659, 386.6525, 386.3522, 386.1188, 385.9826,
385.9361, 385.8209, 385.7317, 385.4548, 385.5337, 385.6074,
385.6771, 385.744 , 385.8082, 385.8699, 385.9291])
self["CO"] = numpy.array([ 0.2205447 , 0.2185316 , 0.2145434 , 0.2078282 , 0.1977631 ,
0.1839901 , 0.1511932 , 0.09891954, 0.0827345 , 0.05454007,
0.02926452, 0.01534331, 0.01021024, 0.00922827, 0.00895567,
0.00841368, 0.00791632, 0.0076217 , 0.00749041, 0.00745301,
0.00740799, 0.00741502, 0.00746624, 0.00760092, 0.00775626,
0.00793258, 0.0081303 , 0.00834271, 0.00844155, 0.00854593,
0.00861921, 0.00869836, 0.00895125, 0.009236 , 0.00956421,
0.00993273, 0.01050776, 0.01155325, 0.01277055, 0.01483604,
0.01745463, 0.02009092, 0.02248201, 0.0252159 , 0.0250677 ,
0.0249136 , 0.0248554 , 0.0248671 , 0.0248747 , 0.0248604 ,
0.02484549, 0.02830606, 0.03349511, 0.03954063, 0.04649641,
0.05393566, 0.05777834, 0.06203953, 0.06291754, 0.06367061,
0.06376177, 0.06365417, 0.06355173, 0.06345124, 0.063449 ,
0.06353453, 0.06376724, 0.06416551, 0.06445159, 0.0646028 ,
0.06451203, 0.06417925, 0.06369376, 0.06310236, 0.06261609,
0.06216137, 0.06196 , 0.06180874, 0.06178709, 0.06208905,
0.06263239, 0.06350083, 0.06423774, 0.06476787, 0.06481747,
0.06471838, 0.06458966, 0.06447546, 0.06438733, 0.06432344,
0.06428367, 0.06423741, 0.0641983 , 0.06589368, 0.07015209,
0.07475692, 0.0797395 , 0.08513432, 0.09097941, 0.09731644,
0.1041912 ])
self["T"] = numpy.array([ 189.265, 197.336, 211.688, 227.871, 242.446, 252.765,
259.432, 262.908, 263.411, 262.202, 261.422, 259.368,
255.095, 250.075, 244.792, 239.205, 235.817, 231.46 ,
227.966, 225.935, 225.115, 222.382, 219.723, 218.152,
217.875, 218.211, 218.288, 218.294, 217.949, 217.202,
216.158, 214.964, 215.259, 215.053, 215.409, 216.081,
216.441, 216.152, 215.427, 215.082, 216.198, 217.247,
217.006, 216.373, 216.342, 217.088, 218.419, 219.839,
220.797, 220.946, 221.423, 222.504, 223.822, 225.134,
226.221, 226.93 , 227.275, 227.405, 227.434, 227.346,
227.212, 227.246, 227.566, 228.2 , 229.083, 230.094,
231.117, 232.121, 233.086, 234.01 , 235.064, 236.351,
237.928, 239.892, 242.039, 244.306, 246.651, 249.025,
251.415, 253.802, 256.16 , 258.448, 260.591, 262.445,
264.071, 265.349, 266.233, 266.969, 267.78 , 268.72 ,
269.42 , 270.502, 271.421, 273.317, 273.317, 273.317,
273.317, 273.317, 273.317, 273.317, 273.317])
self["N2O"] = numpy.array([ 0.00161 , 0.00187 , 0.00205999, 0.00220999, 0.00233999,
0.00235999, 0.00157999, 0.00186999, 0.00519997, 0.00870995,
0.00838995, 0.00955994, 0.01208993, 0.01432992, 0.0171399 ,
0.02172988, 0.02788985, 0.03756981, 0.04630977, 0.05168975,
0.05680973, 0.05922973, 0.06028973, 0.06131974, 0.07010971,
0.07957968, 0.08867964, 0.09929961, 0.1101496 , 0.1206295 ,
0.1301795 , 0.1371795 , 0.1439595 , 0.1505294 , 0.1651494 ,
0.1848693 , 0.2034792 , 0.2285391 , 0.252299 , 0.2748389 ,
0.2840589 , 0.2926288 , 0.3004188 , 0.3072488 , 0.3129187 ,
0.3172487 , 0.3200187 , 0.3209987 , 0.3209987 , 0.3209987 ,
0.3209986 , 0.3209984 , 0.3209982 , 0.3209978 , 0.3209973 ,
0.3209968 , 0.3209964 , 0.320996 , 0.3209956 , 0.320995 ,
0.3209943 , 0.3209938 , 0.3209936 , 0.3209936 , 0.3209939 ,
0.3209941 , 0.3209941 , 0.3209941 , 0.3209935 , 0.3209896 ,
0.3209797 , 0.3209647 , 0.3209449 , 0.3209225 , 0.3209021 ,
0.3208842 , 0.32087 , 0.3208663 , 0.3208701 , 0.3208845 ,
0.3209016 , 0.3209026 , 0.3208633 , 0.3207191 , 0.3204841 ,
0.320189 , 0.3198736 , 0.3195881 , 0.3193787 , 0.319266 ,
0.3192201 , 0.3191182 , 0.3190395 , 0.3188072 , 0.31887 ,
0.3189301 , 0.3189878 , 0.3190431 , 0.3190962 , 0.3191472 ,
0.3191962 ])
self["O3"] = numpy.array([ 0.1903137 , 0.2192386 , 0.3077081 , 0.5440408 , 0.8590299 ,
1.170854 , 1.499102 , 1.864289 , 2.273556 , 2.805293 ,
3.409769 , 4.028786 , 4.806182 , 5.619898 , 6.411164 ,
7.147361 , 7.51202 , 7.648961 , 7.644362 , 7.556123 ,
7.446574 , 7.281136 , 6.952659 , 6.604492 , 6.296854 ,
6.008776 , 5.751387 , 5.520268 , 5.311749 , 5.111921 ,
4.890092 , 4.593293 , 4.298724 , 3.882905 , 3.380027 ,
2.799559 , 2.288161 , 2.031152 , 2.018272 , 2.047542 ,
1.969722 , 1.685453 , 1.220825 , 0.9176053 , 0.8929574 ,
0.9542592 , 1.004996 , 1.034796 , 1.031726 , 1.019046 ,
0.8797071 , 0.6484178 , 0.4105526 , 0.2529783 , 0.1943934 ,
0.201197 , 0.2459162 , 0.322179 , 0.3977806 , 0.4292413 ,
0.4255834 , 0.3930204 , 0.3461121 , 0.2989281 , 0.2606191 ,
0.2321107 , 0.2069452 , 0.1838146 , 0.1618567 , 0.1410414 ,
0.1225313 , 0.1061913 , 0.09214328, 0.08133816, 0.07293074,
0.06636085, 0.06143102, 0.05859298, 0.05740586, 0.05732126,
0.05783027, 0.05809797, 0.05651443, 0.05019414, 0.0404447 ,
0.03280082, 0.02944741, 0.02902179, 0.02945348, 0.02918976,
0.02836743, 0.02750451, 0.02608958, 0.02225294, 0.02225732,
0.02226152, 0.02226555, 0.02226941, 0.02227312, 0.02227668,
0.02228009])
self["CH4"] = numpy.array([ 0.1059488, 0.1201298, 0.1306706, 0.1417254, 0.1691352,
0.209023 , 0.2345078, 0.2578465, 0.2845033, 0.328699 ,
0.3987896, 0.4800421, 0.5668716, 0.6510682, 0.7280449,
0.7954147, 0.8518465, 0.8903115, 0.9281374, 0.9731752,
1.016085 , 1.071595 , 1.131985 , 1.189835 , 1.247015 ,
1.302185 , 1.355285 , 1.400504 , 1.442154 , 1.464494 ,
1.488464 , 1.514124 , 1.541544 , 1.560774 , 1.579304 ,
1.596804 , 1.612894 , 1.627174 , 1.638294 , 1.650024 ,
1.662373 , 1.675353 , 1.688973 , 1.722213 , 1.729283 ,
1.736683 , 1.741733 , 1.745103 , 1.749093 , 1.755483 ,
1.762122 , 1.770021 , 1.77847 , 1.785498 , 1.790785 ,
1.795642 , 1.79793 , 1.800308 , 1.800506 , 1.800632 ,
1.800498 , 1.800295 , 1.800414 , 1.800704 , 1.800856 ,
1.800867 , 1.800517 , 1.799787 , 1.798434 , 1.796372 ,
1.794017 , 1.791393 , 1.789133 , 1.787118 , 1.785875 ,
1.784886 , 1.784827 , 1.785476 , 1.788046 , 1.791395 ,
1.795229 , 1.798224 , 1.800263 , 1.801052 , 1.800931 ,
1.80036 , 1.799234 , 1.797877 , 1.796739 , 1.796035 ,
1.795827 , 1.795294 , 1.79488 , 1.793604 , 1.793966 ,
1.794315 , 1.794639 , 1.794951 , 1.795249 , 1.795536 ,
1.795812 ])
self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 273.317
self["S2M"]["Q"] = 5619.26541873
self["S2M"]["O"] = 0.022280094739
self["S2M"]["P"] = 905.85559
self["S2M"]["U"] = 0.0
self["S2M"]["V"] = 0.0
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 0
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 273.317
self["SKIN"]["SALINITY"] = 35.0
self["SKIN"]["FOAM_FRACTION"] = 0.0
self["SKIN"]["FASTEM"] = numpy.array([ 3. , 5. , 15. , 0.1, 0.3])
self["ZENANGLE"] = 0.0
self["AZANGLE"] = 0.0
self["SUNZENANGLE"] = 0.0
self["SUNAZANGLE"] = 0.0
self["LATITUDE"] = 45.309
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0
self["DATE"] = numpy.array([2007, 4, 1])
self["TIME"] = numpy.array([0, 0, 0])
| """
Profile ../profile-datasets-py/div83/027.py
file automaticaly created by prof_gen.py script
"""
self['ID'] = '../profile-datasets-py/div83/027.py'
self['Q'] = numpy.array([1.518318, 2.025996, 2.947871, 3.996694, 4.716538, 4.891066, 5.143994, 5.672748, 6.023384, 6.098363, 6.083763, 6.011264, 5.918665, 5.775847, 5.594819, 5.416371, 5.267502, 5.106894, 4.985765, 4.900396, 4.806897, 4.639898, 4.46443, 4.301351, 4.166063, 4.067663, 4.013614, 3.956404, 3.878255, 3.793946, 3.736236, 3.729196, 3.740676, 3.781876, 3.819005, 3.852335, 3.885125, 3.911485, 3.924665, 3.928495, 3.939054, 3.973554, 4.029514, 4.057104, 4.045584, 4.022284, 4.010404, 4.005724, 4.006414, 4.086083, 4.4413, 5.001265, 5.736007, 6.838603, 8.34002, 9.959991, 11.35377, 12.44355, 13.60481, 15.52396, 17.77848, 19.39912, 20.0516, 19.79411, 18.96384, 18.41486, 18.23317, 18.48616, 20.26689, 32.48054, 63.10282, 109.8659, 171.6945, 241.4077, 305.0739, 360.7728, 404.902, 416.5434, 404.6232, 359.8924, 306.567, 303.4439, 425.7646, 875.1105, 1607.013, 2526.451, 3508.944, 4398.309, 5050.909, 5401.95, 5544.863, 5862.182, 6107.529, 6831.056, 6635.575, 6448.201, 6268.538, 6096.169, 5930.727, 5771.872, 5619.265])
self['P'] = numpy.array([0.005, 0.0161, 0.0384, 0.0769, 0.137, 0.2244, 0.3454, 0.5064, 0.714, 0.9753, 1.2972, 1.6872, 2.1526, 2.7009, 3.3398, 4.077, 4.9204, 5.8776, 6.9567, 8.1655, 9.5119, 11.0038, 12.6492, 14.4559, 16.4318, 18.5847, 20.9224, 23.4526, 26.1829, 29.121, 32.2744, 35.6505, 39.2566, 43.1001, 47.1882, 51.5278, 56.126, 60.9895, 66.1253, 71.5398, 77.2396, 83.231, 89.5204, 96.1138, 103.017, 110.237, 117.778, 125.646, 133.846, 142.385, 151.266, 160.496, 170.078, 180.018, 190.32, 200.989, 212.028, 223.442, 235.234, 247.408, 259.969, 272.919, 286.262, 300.0, 314.137, 328.675, 343.618, 358.966, 374.724, 390.893, 407.474, 424.47, 441.882, 459.712, 477.961, 496.63, 515.72, 535.232, 555.167, 575.525, 596.306, 617.511, 639.14, 661.192, 683.667, 706.565, 729.886, 753.628, 777.79, 802.371, 827.371, 852.788, 878.62, 904.866, 931.524, 958.591, 986.067, 1013.95, 1042.23, 1070.92, 1100.0])
self['CO2'] = numpy.array([375.9234, 375.9232, 375.9219, 375.9195, 375.9172, 375.9142, 375.9041, 375.8819, 375.8607, 375.8617, 375.8997, 375.9717, 376.0398, 376.0858, 376.1489, 376.212, 376.224, 376.2321, 376.2481, 376.2772, 376.3252, 376.3663, 376.4023, 376.4224, 376.4504, 376.4865, 376.5545, 376.6335, 376.7605, 376.8966, 377.0446, 377.2036, 377.3766, 377.5606, 377.7106, 377.8485, 378.0765, 378.4945, 378.9365, 379.6475, 380.4225, 381.0245, 381.4085, 381.8025, 381.8315, 381.8625, 381.8985, 381.9405, 381.9845, 382.0364, 382.0903, 382.5651, 383.1618, 383.8894, 384.7668, 385.5962, 386.1156, 386.6532, 386.7607, 386.854, 386.8701, 386.8645, 386.8732, 386.8913, 386.9157, 386.9449, 386.9669, 386.9788, 386.9602, 386.9034, 386.8186, 386.7075, 386.6086, 386.5187, 386.4681, 386.4315, 386.4595, 386.5189, 386.6375, 386.8447, 387.1073, 387.3124, 387.433, 387.3937, 387.2297, 386.9659, 386.6525, 386.3522, 386.1188, 385.9826, 385.9361, 385.8209, 385.7317, 385.4548, 385.5337, 385.6074, 385.6771, 385.744, 385.8082, 385.8699, 385.9291])
self['CO'] = numpy.array([0.2205447, 0.2185316, 0.2145434, 0.2078282, 0.1977631, 0.1839901, 0.1511932, 0.09891954, 0.0827345, 0.05454007, 0.02926452, 0.01534331, 0.01021024, 0.00922827, 0.00895567, 0.00841368, 0.00791632, 0.0076217, 0.00749041, 0.00745301, 0.00740799, 0.00741502, 0.00746624, 0.00760092, 0.00775626, 0.00793258, 0.0081303, 0.00834271, 0.00844155, 0.00854593, 0.00861921, 0.00869836, 0.00895125, 0.009236, 0.00956421, 0.00993273, 0.01050776, 0.01155325, 0.01277055, 0.01483604, 0.01745463, 0.02009092, 0.02248201, 0.0252159, 0.0250677, 0.0249136, 0.0248554, 0.0248671, 0.0248747, 0.0248604, 0.02484549, 0.02830606, 0.03349511, 0.03954063, 0.04649641, 0.05393566, 0.05777834, 0.06203953, 0.06291754, 0.06367061, 0.06376177, 0.06365417, 0.06355173, 0.06345124, 0.063449, 0.06353453, 0.06376724, 0.06416551, 0.06445159, 0.0646028, 0.06451203, 0.06417925, 0.06369376, 0.06310236, 0.06261609, 0.06216137, 0.06196, 0.06180874, 0.06178709, 0.06208905, 0.06263239, 0.06350083, 0.06423774, 0.06476787, 0.06481747, 0.06471838, 0.06458966, 0.06447546, 0.06438733, 0.06432344, 0.06428367, 0.06423741, 0.0641983, 0.06589368, 0.07015209, 0.07475692, 0.0797395, 0.08513432, 0.09097941, 0.09731644, 0.1041912])
self['T'] = numpy.array([189.265, 197.336, 211.688, 227.871, 242.446, 252.765, 259.432, 262.908, 263.411, 262.202, 261.422, 259.368, 255.095, 250.075, 244.792, 239.205, 235.817, 231.46, 227.966, 225.935, 225.115, 222.382, 219.723, 218.152, 217.875, 218.211, 218.288, 218.294, 217.949, 217.202, 216.158, 214.964, 215.259, 215.053, 215.409, 216.081, 216.441, 216.152, 215.427, 215.082, 216.198, 217.247, 217.006, 216.373, 216.342, 217.088, 218.419, 219.839, 220.797, 220.946, 221.423, 222.504, 223.822, 225.134, 226.221, 226.93, 227.275, 227.405, 227.434, 227.346, 227.212, 227.246, 227.566, 228.2, 229.083, 230.094, 231.117, 232.121, 233.086, 234.01, 235.064, 236.351, 237.928, 239.892, 242.039, 244.306, 246.651, 249.025, 251.415, 253.802, 256.16, 258.448, 260.591, 262.445, 264.071, 265.349, 266.233, 266.969, 267.78, 268.72, 269.42, 270.502, 271.421, 273.317, 273.317, 273.317, 273.317, 273.317, 273.317, 273.317, 273.317])
self['N2O'] = numpy.array([0.00161, 0.00187, 0.00205999, 0.00220999, 0.00233999, 0.00235999, 0.00157999, 0.00186999, 0.00519997, 0.00870995, 0.00838995, 0.00955994, 0.01208993, 0.01432992, 0.0171399, 0.02172988, 0.02788985, 0.03756981, 0.04630977, 0.05168975, 0.05680973, 0.05922973, 0.06028973, 0.06131974, 0.07010971, 0.07957968, 0.08867964, 0.09929961, 0.1101496, 0.1206295, 0.1301795, 0.1371795, 0.1439595, 0.1505294, 0.1651494, 0.1848693, 0.2034792, 0.2285391, 0.252299, 0.2748389, 0.2840589, 0.2926288, 0.3004188, 0.3072488, 0.3129187, 0.3172487, 0.3200187, 0.3209987, 0.3209987, 0.3209987, 0.3209986, 0.3209984, 0.3209982, 0.3209978, 0.3209973, 0.3209968, 0.3209964, 0.320996, 0.3209956, 0.320995, 0.3209943, 0.3209938, 0.3209936, 0.3209936, 0.3209939, 0.3209941, 0.3209941, 0.3209941, 0.3209935, 0.3209896, 0.3209797, 0.3209647, 0.3209449, 0.3209225, 0.3209021, 0.3208842, 0.32087, 0.3208663, 0.3208701, 0.3208845, 0.3209016, 0.3209026, 0.3208633, 0.3207191, 0.3204841, 0.320189, 0.3198736, 0.3195881, 0.3193787, 0.319266, 0.3192201, 0.3191182, 0.3190395, 0.3188072, 0.31887, 0.3189301, 0.3189878, 0.3190431, 0.3190962, 0.3191472, 0.3191962])
self['O3'] = numpy.array([0.1903137, 0.2192386, 0.3077081, 0.5440408, 0.8590299, 1.170854, 1.499102, 1.864289, 2.273556, 2.805293, 3.409769, 4.028786, 4.806182, 5.619898, 6.411164, 7.147361, 7.51202, 7.648961, 7.644362, 7.556123, 7.446574, 7.281136, 6.952659, 6.604492, 6.296854, 6.008776, 5.751387, 5.520268, 5.311749, 5.111921, 4.890092, 4.593293, 4.298724, 3.882905, 3.380027, 2.799559, 2.288161, 2.031152, 2.018272, 2.047542, 1.969722, 1.685453, 1.220825, 0.9176053, 0.8929574, 0.9542592, 1.004996, 1.034796, 1.031726, 1.019046, 0.8797071, 0.6484178, 0.4105526, 0.2529783, 0.1943934, 0.201197, 0.2459162, 0.322179, 0.3977806, 0.4292413, 0.4255834, 0.3930204, 0.3461121, 0.2989281, 0.2606191, 0.2321107, 0.2069452, 0.1838146, 0.1618567, 0.1410414, 0.1225313, 0.1061913, 0.09214328, 0.08133816, 0.07293074, 0.06636085, 0.06143102, 0.05859298, 0.05740586, 0.05732126, 0.05783027, 0.05809797, 0.05651443, 0.05019414, 0.0404447, 0.03280082, 0.02944741, 0.02902179, 0.02945348, 0.02918976, 0.02836743, 0.02750451, 0.02608958, 0.02225294, 0.02225732, 0.02226152, 0.02226555, 0.02226941, 0.02227312, 0.02227668, 0.02228009])
self['CH4'] = numpy.array([0.1059488, 0.1201298, 0.1306706, 0.1417254, 0.1691352, 0.209023, 0.2345078, 0.2578465, 0.2845033, 0.328699, 0.3987896, 0.4800421, 0.5668716, 0.6510682, 0.7280449, 0.7954147, 0.8518465, 0.8903115, 0.9281374, 0.9731752, 1.016085, 1.071595, 1.131985, 1.189835, 1.247015, 1.302185, 1.355285, 1.400504, 1.442154, 1.464494, 1.488464, 1.514124, 1.541544, 1.560774, 1.579304, 1.596804, 1.612894, 1.627174, 1.638294, 1.650024, 1.662373, 1.675353, 1.688973, 1.722213, 1.729283, 1.736683, 1.741733, 1.745103, 1.749093, 1.755483, 1.762122, 1.770021, 1.77847, 1.785498, 1.790785, 1.795642, 1.79793, 1.800308, 1.800506, 1.800632, 1.800498, 1.800295, 1.800414, 1.800704, 1.800856, 1.800867, 1.800517, 1.799787, 1.798434, 1.796372, 1.794017, 1.791393, 1.789133, 1.787118, 1.785875, 1.784886, 1.784827, 1.785476, 1.788046, 1.791395, 1.795229, 1.798224, 1.800263, 1.801052, 1.800931, 1.80036, 1.799234, 1.797877, 1.796739, 1.796035, 1.795827, 1.795294, 1.79488, 1.793604, 1.793966, 1.794315, 1.794639, 1.794951, 1.795249, 1.795536, 1.795812])
self['CTP'] = 500.0
self['CFRACTION'] = 0.0
self['IDG'] = 0
self['ISH'] = 0
self['ELEVATION'] = 0.0
self['S2M']['T'] = 273.317
self['S2M']['Q'] = 5619.26541873
self['S2M']['O'] = 0.022280094739
self['S2M']['P'] = 905.85559
self['S2M']['U'] = 0.0
self['S2M']['V'] = 0.0
self['S2M']['WFETC'] = 100000.0
self['SKIN']['SURFTYPE'] = 0
self['SKIN']['WATERTYPE'] = 1
self['SKIN']['T'] = 273.317
self['SKIN']['SALINITY'] = 35.0
self['SKIN']['FOAM_FRACTION'] = 0.0
self['SKIN']['FASTEM'] = numpy.array([3.0, 5.0, 15.0, 0.1, 0.3])
self['ZENANGLE'] = 0.0
self['AZANGLE'] = 0.0
self['SUNZENANGLE'] = 0.0
self['SUNAZANGLE'] = 0.0
self['LATITUDE'] = 45.309
self['GAS_UNITS'] = 2
self['BE'] = 0.0
self['COSBK'] = 0.0
self['DATE'] = numpy.array([2007, 4, 1])
self['TIME'] = numpy.array([0, 0, 0]) |
s = input().strip()
res = [c for c in set(s.lower()) if c.isalpha()]
if len(res) == 26:
print("pangram")
else:
print("not pangram")
| s = input().strip()
res = [c for c in set(s.lower()) if c.isalpha()]
if len(res) == 26:
print('pangram')
else:
print('not pangram') |
class DataStream:
async def create_private_listen_key(self) -> dict:
"""**Create a ListenKey (USER_STREAM)**
Notes:
``POST /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#start-user-data-stream-user_stream
"""
return await self._fetch(
'POST',
'create_private_listen_key',
'/fapi/v1/listenKey'
)
async def update_private_listen_key(self) -> dict:
"""**Ping/Keep-alive a ListenKey (USER_STREAM)**
Notes:
``PUT /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#keepalive-user-data-stream-user_stream
"""
return await self._fetch(
'PUT',
'update_private_listen_key',
'/fapi/v1/listenKey'
)
async def delete_private_listen_key(self) -> dict:
"""**Close a ListenKey (USER_STREAM)**
Notes:
``DELETE /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#close-user-data-stream-user_stream
"""
return await self._fetch(
'DELETE',
'delete_private_listen_key',
'/fapi/v1/listenKey'
)
| class Datastream:
async def create_private_listen_key(self) -> dict:
"""**Create a ListenKey (USER_STREAM)**
Notes:
``POST /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#start-user-data-stream-user_stream
"""
return await self._fetch('POST', 'create_private_listen_key', '/fapi/v1/listenKey')
async def update_private_listen_key(self) -> dict:
"""**Ping/Keep-alive a ListenKey (USER_STREAM)**
Notes:
``PUT /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#keepalive-user-data-stream-user_stream
"""
return await self._fetch('PUT', 'update_private_listen_key', '/fapi/v1/listenKey')
async def delete_private_listen_key(self) -> dict:
"""**Close a ListenKey (USER_STREAM)**
Notes:
``DELETE /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#close-user-data-stream-user_stream
"""
return await self._fetch('DELETE', 'delete_private_listen_key', '/fapi/v1/listenKey') |
x = input("Enter sentence: ")
count={"Uppercase":0, "Lowercase":0}
for i in x:
if i.isupper():
count["Uppercase"]+=1
elif i.islower():
count["Lowercase"]+=1
else:
pass
print ("There is:", count["Uppercase"], "uppercases.")
print ("There is:", count["Lowercase"], "lowercases.")
| x = input('Enter sentence: ')
count = {'Uppercase': 0, 'Lowercase': 0}
for i in x:
if i.isupper():
count['Uppercase'] += 1
elif i.islower():
count['Lowercase'] += 1
else:
pass
print('There is:', count['Uppercase'], 'uppercases.')
print('There is:', count['Lowercase'], 'lowercases.') |
input = """
f(X,1) :- a(X,Y),
g(A,X),g(B,X),
not f(1,X).
a(X,Y) :- g(X,0),g(Y,0).
g(x1,0).
g(x2,0).
"""
output = """
f(X,1) :- a(X,Y),
g(A,X),g(B,X),
not f(1,X).
a(X,Y) :- g(X,0),g(Y,0).
g(x1,0).
g(x2,0).
"""
| input = '\nf(X,1) :- a(X,Y),\n g(A,X),g(B,X),\n not f(1,X).\n\na(X,Y) :- g(X,0),g(Y,0).\n\ng(x1,0).\ng(x2,0).\n\n'
output = '\nf(X,1) :- a(X,Y),\n g(A,X),g(B,X),\n not f(1,X).\n\na(X,Y) :- g(X,0),g(Y,0).\n\ng(x1,0).\ng(x2,0).\n\n' |
file = open("13")
sum = 0
for numbers in file:
#print(numbers.rstrip())
numbers = int(numbers)
sum += numbers;
print(sum)
sum = str(sum)
print(sum[:10])
| file = open('13')
sum = 0
for numbers in file:
numbers = int(numbers)
sum += numbers
print(sum)
sum = str(sum)
print(sum[:10]) |
variable1 = "variable original"
def variable_global():
global variable1
variable1 = "variable global modificada"
print(variable1)
#variable original
variable_global()
print(variable1)
#variable global modificada
| variable1 = 'variable original'
def variable_global():
global variable1
variable1 = 'variable global modificada'
print(variable1)
variable_global()
print(variable1) |
TIMEOUT=100
def GenerateWriteCommand(i2cAddress, ID, writeLocation, data):
i = 0
TIMEOUT = 100
command = bytearray(len(data)+15)
while (i < 4):
command[i] = 255
i += 1
command[4] = i2cAddress
command[5] = TIMEOUT
command[6] = ID
command[7] = 2
command[8] = writeLocation
command[9] = len(data)
command[(10 + len(data))] = 255
i = 0
while (i < len(data)):
command[(10 + i)] = data[i]
i += 1
i = 0
while (i < 4):
command[(11 + i) + len(data)] = 254
i += 1
return command
def GenerateReadCommand(i2cAddress, ID, readLocation, numToRead):
command = bytearray(16)
i = 0
TIMEOUT = 100
while (i < 4):
command[i] = 0xFF
i += 1
command[4] = i2cAddress
command[5] = TIMEOUT
command[6] = ID
command[7] = 0x01
command[8] = readLocation
command[9] = numToRead
command[10] = 0xFF
i = 0
while (i < 4):
command[(11 + i)] = 0xFE
i += 1
return command
def GenerateToggleCommand(i2cAddress, ID, writeLocation, data):
i = 0
command = bytearray(16 + 15)
while (i < 4):
command[i] = 255
i += 1
command[4] = i2cAddress
command[5] = TIMEOUT
command[6] = ID
command[7] = 3
command[8] = data
command[9] = 16
command[(10 + 16)] = 255
i = 0
while (i < 16):
command[(10 + i)] = 7
i += 1
i = 0
while (i < 4):
command[((11 + i) + 16)] = 254
i += 1
return command | timeout = 100
def generate_write_command(i2cAddress, ID, writeLocation, data):
i = 0
timeout = 100
command = bytearray(len(data) + 15)
while i < 4:
command[i] = 255
i += 1
command[4] = i2cAddress
command[5] = TIMEOUT
command[6] = ID
command[7] = 2
command[8] = writeLocation
command[9] = len(data)
command[10 + len(data)] = 255
i = 0
while i < len(data):
command[10 + i] = data[i]
i += 1
i = 0
while i < 4:
command[11 + i + len(data)] = 254
i += 1
return command
def generate_read_command(i2cAddress, ID, readLocation, numToRead):
command = bytearray(16)
i = 0
timeout = 100
while i < 4:
command[i] = 255
i += 1
command[4] = i2cAddress
command[5] = TIMEOUT
command[6] = ID
command[7] = 1
command[8] = readLocation
command[9] = numToRead
command[10] = 255
i = 0
while i < 4:
command[11 + i] = 254
i += 1
return command
def generate_toggle_command(i2cAddress, ID, writeLocation, data):
i = 0
command = bytearray(16 + 15)
while i < 4:
command[i] = 255
i += 1
command[4] = i2cAddress
command[5] = TIMEOUT
command[6] = ID
command[7] = 3
command[8] = data
command[9] = 16
command[10 + 16] = 255
i = 0
while i < 16:
command[10 + i] = 7
i += 1
i = 0
while i < 4:
command[11 + i + 16] = 254
i += 1
return command |
class AveragingBucketUpkeep:
def __init__(self):
self.numer = 0.0
self.denom = 0
def add_cost(self, cost):
self.numer += cost
self.denom += 1
return self.numer / self.denom
def rem_cost(self, cost):
self.numer -= cost
self.denom -= 1
if self.denom == 0:
return 0
return self.numer / self.denom
| class Averagingbucketupkeep:
def __init__(self):
self.numer = 0.0
self.denom = 0
def add_cost(self, cost):
self.numer += cost
self.denom += 1
return self.numer / self.denom
def rem_cost(self, cost):
self.numer -= cost
self.denom -= 1
if self.denom == 0:
return 0
return self.numer / self.denom |
__version__ = "2.18"
def version():
"""Returns the version number of the installed workflows package."""
return __version__
class Error(Exception):
"""Common class for exceptions deliberately raised by workflows package."""
class Disconnected(Error):
"""Indicates the connection could not be established or has been lost."""
| __version__ = '2.18'
def version():
"""Returns the version number of the installed workflows package."""
return __version__
class Error(Exception):
"""Common class for exceptions deliberately raised by workflows package."""
class Disconnected(Error):
"""Indicates the connection could not be established or has been lost.""" |
sqlqueries = {
'WeatherForecast':"select concat ('FY', to_char(f.forecasted_timestamp, 'YY')) Fiscal_yr, to_char(f.forecasted_timestamp, 'MON') Fiscal_mth, concat ('Day_', to_char(f.forecasted_timestamp, 'DD')) Fiscal_day, f.zipcode zip, min(f.temp_avg) low, max(f.temp_avg) high, max(f.wind_speed) wind, max(f.humidity) humidity from forecast f where to_char(forecast_timestamp, 'YYYY-MM-DD HH24') = (select max(to_char(forecast_timestamp, 'YYYY-MM-DD HH24')) from forecast) group by to_char(f.forecasted_timestamp, 'YY'), to_char(f.forecasted_timestamp, 'MON'), to_char(f.forecasted_timestamp, 'DD'), f.zipcode;",
'WeatherActDesc':"select concat ('FY', to_char(o.observation_timestamp, 'YY')) Fiscal_yr, to_char(o.observation_timestamp, 'MON') Fiscal_mth, concat ('Day_', to_char(o.observation_timestamp, 'DD')) Fiscal_day, o.zipcode zip, o.weather_description descripion from observations o group by to_char(o.observation_timestamp, 'YY'), to_char(o.observation_timestamp, 'MON'), to_char(o.observation_timestamp, 'DD'), o.zipcode, o.weather_description order by fiscal_yr, fiscal_mth, fiscal_day, zip;",
'WeatherActual':"select concat ('FY', to_char(o.observation_timestamp, 'YY')) Fiscal_yr, to_char(o.observation_timestamp, 'MON') Fiscal_mth, concat ('Day_', to_char(o.observation_timestamp, 'DD')) Fiscal_day, o.zipcode zip, min(o.temp_avg) low, max(o.temp_avg) high, max(o.wind_speed) wind, max(o.humidity) humidity from observations o group by to_char(o.observation_timestamp, 'YY'), to_char(o.observation_timestamp, 'MON') , to_char(o.observation_timestamp, 'DD') , o.zipcode order by fiscal_yr, fiscal_mth, fiscal_day, zip;",
'WeatherDescription':"select concat ('FY', to_char(f.forecasted_timestamp, 'YY')) Fiscal_yr , to_char(f.forecasted_timestamp, 'MON') Fiscal_mth , concat ('Day_', to_char(f.forecasted_timestamp, 'DD')) Fiscal_day , f.zipcode zip , f.weather_description descripion from forecast f where to_char(forecast_timestamp, 'YYYY-MM-DD HH24') = (select max(to_char(forecast_timestamp, 'YYYY-MM-DD HH24')) from forecast) group by to_char(forecasted_timestamp, 'YY') , to_char(f.forecasted_timestamp, 'MON') , to_char(f.forecasted_timestamp, 'DD') , f.zipcode , f.weather_description;"
} | sqlqueries = {'WeatherForecast': "select concat ('FY', to_char(f.forecasted_timestamp, 'YY')) Fiscal_yr, to_char(f.forecasted_timestamp, 'MON') Fiscal_mth, concat ('Day_', to_char(f.forecasted_timestamp, 'DD')) Fiscal_day, f.zipcode zip, min(f.temp_avg) low, max(f.temp_avg) high, max(f.wind_speed) wind, max(f.humidity) humidity from forecast f where to_char(forecast_timestamp, 'YYYY-MM-DD HH24') = (select max(to_char(forecast_timestamp, 'YYYY-MM-DD HH24')) from forecast) group by to_char(f.forecasted_timestamp, 'YY'), to_char(f.forecasted_timestamp, 'MON'), to_char(f.forecasted_timestamp, 'DD'), f.zipcode;", 'WeatherActDesc': "select concat ('FY', to_char(o.observation_timestamp, 'YY')) Fiscal_yr, to_char(o.observation_timestamp, 'MON') Fiscal_mth, concat ('Day_', to_char(o.observation_timestamp, 'DD')) Fiscal_day, o.zipcode zip, o.weather_description descripion from observations o group by to_char(o.observation_timestamp, 'YY'), to_char(o.observation_timestamp, 'MON'), to_char(o.observation_timestamp, 'DD'), o.zipcode, o.weather_description order by fiscal_yr, fiscal_mth, fiscal_day, zip;", 'WeatherActual': "select concat ('FY', to_char(o.observation_timestamp, 'YY')) Fiscal_yr, to_char(o.observation_timestamp, 'MON') Fiscal_mth, concat ('Day_', to_char(o.observation_timestamp, 'DD')) Fiscal_day, o.zipcode zip, min(o.temp_avg) low, max(o.temp_avg) high, max(o.wind_speed) wind, max(o.humidity) humidity from observations o group by to_char(o.observation_timestamp, 'YY'), to_char(o.observation_timestamp, 'MON') , to_char(o.observation_timestamp, 'DD') , o.zipcode order by fiscal_yr, fiscal_mth, fiscal_day, zip;", 'WeatherDescription': "select concat ('FY', to_char(f.forecasted_timestamp, 'YY')) Fiscal_yr , to_char(f.forecasted_timestamp, 'MON') Fiscal_mth , concat ('Day_', to_char(f.forecasted_timestamp, 'DD')) Fiscal_day , f.zipcode zip , f.weather_description descripion from forecast f where to_char(forecast_timestamp, 'YYYY-MM-DD HH24') = (select max(to_char(forecast_timestamp, 'YYYY-MM-DD HH24')) from forecast) group by to_char(forecasted_timestamp, 'YY') , to_char(f.forecasted_timestamp, 'MON') , to_char(f.forecasted_timestamp, 'DD') , f.zipcode , f.weather_description;"} |
mock_dbcli_config = {
'exports_from': {
'lpass': {
'pull_lastpass_from': "{{ lastpass_entry }}",
},
'lpass_user_and_pass_only': {
'pull_lastpass_username_password_from': "{{ lastpass_entry }}",
},
'my-json-script': {
'json_script': [
'some-custom-json-script'
]
},
'invalid-method': {
},
},
'dbs': {
'baz': {
'exports_from': 'my-json-script',
},
'bing': {
'exports_from': 'invalid-method',
},
'bazzle': {
'exports_from': 'lpass',
'lastpass_entry': 'lpass entry name'
},
'bazzle-bing': {
'exports_from': 'lpass',
'lastpass_entry': 'different lpass entry name'
},
'frazzle': {
'exports_from': 'lpass',
'lastpass_entry': 'lpass entry name'
},
'frink': {
'exports_from': 'lpass_user_and_pass_only',
'lastpass_entry': 'lpass entry name',
'jinja_context_name': 'standard',
'exports': {
'some_additional': 'export',
'a_numbered_export': 123
},
},
'gaggle': {
'jinja_context_name': [
'env',
'base64',
],
'exports': {
'type': 'bigquery',
'protocol': 'bigquery',
'bq_account': 'bq_itest',
'bq_service_account_json':
"{{ env('ITEST_BIGQUERY_SERVICE_ACCOUNT_JSON_BASE64') | b64decode }}",
'bq_default_project_id': 'bluelabs-tools-dev',
'bq_default_dataset_id': 'bq_itest',
},
},
},
'orgs': {
'myorg': {
'full_name': 'MyOrg',
},
},
}
| mock_dbcli_config = {'exports_from': {'lpass': {'pull_lastpass_from': '{{ lastpass_entry }}'}, 'lpass_user_and_pass_only': {'pull_lastpass_username_password_from': '{{ lastpass_entry }}'}, 'my-json-script': {'json_script': ['some-custom-json-script']}, 'invalid-method': {}}, 'dbs': {'baz': {'exports_from': 'my-json-script'}, 'bing': {'exports_from': 'invalid-method'}, 'bazzle': {'exports_from': 'lpass', 'lastpass_entry': 'lpass entry name'}, 'bazzle-bing': {'exports_from': 'lpass', 'lastpass_entry': 'different lpass entry name'}, 'frazzle': {'exports_from': 'lpass', 'lastpass_entry': 'lpass entry name'}, 'frink': {'exports_from': 'lpass_user_and_pass_only', 'lastpass_entry': 'lpass entry name', 'jinja_context_name': 'standard', 'exports': {'some_additional': 'export', 'a_numbered_export': 123}}, 'gaggle': {'jinja_context_name': ['env', 'base64'], 'exports': {'type': 'bigquery', 'protocol': 'bigquery', 'bq_account': 'bq_itest', 'bq_service_account_json': "{{ env('ITEST_BIGQUERY_SERVICE_ACCOUNT_JSON_BASE64') | b64decode }}", 'bq_default_project_id': 'bluelabs-tools-dev', 'bq_default_dataset_id': 'bq_itest'}}}, 'orgs': {'myorg': {'full_name': 'MyOrg'}}} |
# Time: O(n)
# Space: O(1)
class Solution(object):
def minDistance(self, height, width, tree, squirrel, nuts):
"""
:type height: int
:type width: int
:type tree: List[int]
:type squirrel: List[int]
:type nuts: List[List[int]]
:rtype: int
"""
def distance(a, b):
return abs(a[0] - b[0]) + abs(a[1] - b[1])
result = 0
d = float("inf")
for nut in nuts:
result += (distance(nut, tree) * 2)
d = min(d, distance(nut, squirrel) - distance(nut, tree))
return result + d
| class Solution(object):
def min_distance(self, height, width, tree, squirrel, nuts):
"""
:type height: int
:type width: int
:type tree: List[int]
:type squirrel: List[int]
:type nuts: List[List[int]]
:rtype: int
"""
def distance(a, b):
return abs(a[0] - b[0]) + abs(a[1] - b[1])
result = 0
d = float('inf')
for nut in nuts:
result += distance(nut, tree) * 2
d = min(d, distance(nut, squirrel) - distance(nut, tree))
return result + d |
# Copyright 2000-2004 Michael Hudson mwh@python.net
#
# All Rights Reserved
#
#
# Permission to use, copy, modify, and distribute this software and
# its documentation for any purpose is hereby granted without fee,
# provided that the above copyright notice appear in all copies and
# that both that copyright notice and this permission notice appear in
# supporting documentation.
#
# THE AUTHOR MICHAEL HUDSON DISCLAIMS ALL WARRANTIES WITH REGARD TO
# THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
# AND FITNESS, IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL,
# INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER
# RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF
# CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
# CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
class Event:
"""An Event. `evt' is 'key' or somesuch."""
def __init__(self, evt, data, raw=''):
self.evt = evt
self.data = data
self.raw = raw
def __repr__(self):
return 'Event(%r, %r)'%(self.evt, self.data)
class Console:
"""Attributes:
screen,
height,
width,
"""
def refresh(self, screen, xy):
pass
def prepare(self):
pass
def restore(self):
pass
def move_cursor(self, x, y):
pass
def set_cursor_vis(self, vis):
pass
def getheightwidth(self):
"""Return (height, width) where height and width are the height
and width of the terminal window in characters."""
pass
def get_event(self, block=1):
"""Return an Event instance. Returns None if |block| is false
and there is no event pending, otherwise waits for the
completion of an event."""
pass
def beep(self):
pass
def clear(self):
"""Wipe the screen"""
pass
def finish(self):
"""Move the cursor to the end of the display and otherwise get
ready for end. XXX could be merged with restore? Hmm."""
pass
def flushoutput(self):
"""Flush all output to the screen (assuming there's some
buffering going on somewhere)."""
pass
def forgetinput(self):
"""Forget all pending, but not yet processed input."""
pass
def getpending(self):
"""Return the characters that have been typed but not yet
processed."""
pass
def wait(self):
"""Wait for an event."""
pass
| class Event:
"""An Event. `evt' is 'key' or somesuch."""
def __init__(self, evt, data, raw=''):
self.evt = evt
self.data = data
self.raw = raw
def __repr__(self):
return 'Event(%r, %r)' % (self.evt, self.data)
class Console:
"""Attributes:
screen,
height,
width,
"""
def refresh(self, screen, xy):
pass
def prepare(self):
pass
def restore(self):
pass
def move_cursor(self, x, y):
pass
def set_cursor_vis(self, vis):
pass
def getheightwidth(self):
"""Return (height, width) where height and width are the height
and width of the terminal window in characters."""
pass
def get_event(self, block=1):
"""Return an Event instance. Returns None if |block| is false
and there is no event pending, otherwise waits for the
completion of an event."""
pass
def beep(self):
pass
def clear(self):
"""Wipe the screen"""
pass
def finish(self):
"""Move the cursor to the end of the display and otherwise get
ready for end. XXX could be merged with restore? Hmm."""
pass
def flushoutput(self):
"""Flush all output to the screen (assuming there's some
buffering going on somewhere)."""
pass
def forgetinput(self):
"""Forget all pending, but not yet processed input."""
pass
def getpending(self):
"""Return the characters that have been typed but not yet
processed."""
pass
def wait(self):
"""Wait for an event."""
pass |
with open('./8/input_a.txt', 'r') as f:
input = [[a.strip().split(' | ')[0].split(' '), a.strip().split(' | ')[1].split(' ')] for a in f]
num = sum([sum([1 if len(a) in {2,3,4,7} else 0 for a in o[1]]) for o in input ])
print(f'Part A: Number of 1,4,7 or 8s in output - {num}')
def getoutput(i):
nums = ['0','1','2','3','4','5','6','7','8','9']
nums[1] = [a for a in i[0] if len(a) == 2][0]
nums[4] = [a for a in i[0] if len(a) == 4][0]
nums[7] = [a for a in i[0] if len(a) == 3][0]
nums[8] = [a for a in i[0] if len(a) == 7][0]
nums[9] = [a for a in i[0] if len(a) == 6 and set(nums[4]).issubset(set(a))][0]
nums[0] = [a for a in i[0] if len(a) == 6 and set(nums[1]).issubset(set(a)) and a not in nums][0]
nums[6] = [a for a in i[0] if len(a) == 6 and a not in nums][0]
nums[3] = [a for a in i[0] if len(a) == 5 and set(nums[1]).issubset(set(a))][0]
nums[5] = [a for a in i[0] if len(a) == 5 and (set(nums[4]) - set(nums[1])).issubset(set(a)) and a not in nums][0]
nums[2] = [a for a in i[0] if len(a) == 5 and a not in nums][0]
return int(''.join([str(nums.index([n for n in nums if set(n) == set(a)][0])) for a in i[1]]))
print(f'Part B: total output sum value - {sum([getoutput(a) for a in input])}') | with open('./8/input_a.txt', 'r') as f:
input = [[a.strip().split(' | ')[0].split(' '), a.strip().split(' | ')[1].split(' ')] for a in f]
num = sum([sum([1 if len(a) in {2, 3, 4, 7} else 0 for a in o[1]]) for o in input])
print(f'Part A: Number of 1,4,7 or 8s in output - {num}')
def getoutput(i):
nums = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
nums[1] = [a for a in i[0] if len(a) == 2][0]
nums[4] = [a for a in i[0] if len(a) == 4][0]
nums[7] = [a for a in i[0] if len(a) == 3][0]
nums[8] = [a for a in i[0] if len(a) == 7][0]
nums[9] = [a for a in i[0] if len(a) == 6 and set(nums[4]).issubset(set(a))][0]
nums[0] = [a for a in i[0] if len(a) == 6 and set(nums[1]).issubset(set(a)) and (a not in nums)][0]
nums[6] = [a for a in i[0] if len(a) == 6 and a not in nums][0]
nums[3] = [a for a in i[0] if len(a) == 5 and set(nums[1]).issubset(set(a))][0]
nums[5] = [a for a in i[0] if len(a) == 5 and (set(nums[4]) - set(nums[1])).issubset(set(a)) and (a not in nums)][0]
nums[2] = [a for a in i[0] if len(a) == 5 and a not in nums][0]
return int(''.join([str(nums.index([n for n in nums if set(n) == set(a)][0])) for a in i[1]]))
print(f'Part B: total output sum value - {sum([getoutput(a) for a in input])}') |
class Node:
def __init__(self, data):
self.data = data
self.next = None
def sumLinkedListNodes(list1, list2):
value1, value2 = "", ""
head1, head2 = list1, list2
while head1:
value1 += str(head1.data)
head1 = head1.next
while head2:
value2 += str(head2.data)
head2 = head2.next
total = str(int(value1) + int(value2))
totalList = list(total)
list3 = {"head": Node(int(totalList[0]))}
current = list3["head"]
for i in range(1, len(totalList)):
current.next = Node(int(totalList[i]))
current = current.next
return list3
list1 = Node(5)
list1.next = Node(6)
list1.next.next = Node(3)
list2 = Node(8)
list2.next = Node(4)
list2.next.next = Node(2)
sumLinkedListNodes(list1, list2)
| class Node:
def __init__(self, data):
self.data = data
self.next = None
def sum_linked_list_nodes(list1, list2):
(value1, value2) = ('', '')
(head1, head2) = (list1, list2)
while head1:
value1 += str(head1.data)
head1 = head1.next
while head2:
value2 += str(head2.data)
head2 = head2.next
total = str(int(value1) + int(value2))
total_list = list(total)
list3 = {'head': node(int(totalList[0]))}
current = list3['head']
for i in range(1, len(totalList)):
current.next = node(int(totalList[i]))
current = current.next
return list3
list1 = node(5)
list1.next = node(6)
list1.next.next = node(3)
list2 = node(8)
list2.next = node(4)
list2.next.next = node(2)
sum_linked_list_nodes(list1, list2) |
class Stack:
def __init__(self):
self.array = []
self.top = -1
self.max = 100
def isEmpty(self):
if(self.top == -1):
return True
else:
return False
def isFull(self):
if(self.top == self.max -1):
return True
else:
return False
def push(self, data):
if(self.isFull()):
print("Stack Overflow")
return
else:
self.top += 1
self.array.append(data)
def pop(self):
if(self.isEmpty()):
print("Stack Underflow")
return
else:
self.top -= 1
return(self.array.pop())
class SpecialStack(Stack):
def __init__(self):
super().__init__()
self.Min = Stack()
def push(self, x):
if(self.isEmpty):
super().push(x)
self.Min.push(x)
else:
super().push(x)
y = self.Min.pop()
self.Min.push(y)
if(x <= y):
self.Min.push(x)
else:
self.Min.push(y)
def pop(self):
x = super().pop()
self.Min.pop()
return x
def getMin(self):
x = self.Min.pop()
self.Min.push(x)
return x
if __name__ == "__main__":
s = SpecialStack()
s.push(10)
s.push(20)
s.push(30)
print(s.getMin())
s.push(5)
print(s.getMin()) | class Stack:
def __init__(self):
self.array = []
self.top = -1
self.max = 100
def is_empty(self):
if self.top == -1:
return True
else:
return False
def is_full(self):
if self.top == self.max - 1:
return True
else:
return False
def push(self, data):
if self.isFull():
print('Stack Overflow')
return
else:
self.top += 1
self.array.append(data)
def pop(self):
if self.isEmpty():
print('Stack Underflow')
return
else:
self.top -= 1
return self.array.pop()
class Specialstack(Stack):
def __init__(self):
super().__init__()
self.Min = stack()
def push(self, x):
if self.isEmpty:
super().push(x)
self.Min.push(x)
else:
super().push(x)
y = self.Min.pop()
self.Min.push(y)
if x <= y:
self.Min.push(x)
else:
self.Min.push(y)
def pop(self):
x = super().pop()
self.Min.pop()
return x
def get_min(self):
x = self.Min.pop()
self.Min.push(x)
return x
if __name__ == '__main__':
s = special_stack()
s.push(10)
s.push(20)
s.push(30)
print(s.getMin())
s.push(5)
print(s.getMin()) |
#----------------------------------------------------------------------
# Basis Set Exchange
# Version v0.8.13
# https://www.basissetexchange.org
#----------------------------------------------------------------------
# Basis set: STO-3G
# Description: STO-3G Minimal Basis (3 functions/AO)
# Role: orbital
# Version: 1 (Data from Gaussian09)
#----------------------------------------------------------------------
# BASIS "ao basis" PRINT
# #BASIS SET: (3s) -> [1s]
# H S
# 0.3425250914E+01 0.1543289673E+00
# 0.6239137298E+00 0.5353281423E+00
# 0.1688554040E+00 0.4446345422E+00
# END
A_LIST = [3.425250914 , 0.6239137298, 0.1688554040]
D_LIST = [0.1543289673, 0.5353281423, 0.4446345422]
| a_list = [3.425250914, 0.6239137298, 0.168855404]
d_list = [0.1543289673, 0.5353281423, 0.4446345422] |
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "001887f2",
"metadata": {},
"outputs": [],
"source": [
"# import os modules to create path across operating system to load csv file\n",
"import os\n",
"# module for reading csv files\n",
"import csv"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "77c0f7d8",
"metadata": {},
"outputs": [],
"source": [
"# read csv data and load to budgetDB\n",
"csvpath = os.path.join(\"Resources\",\"budget_data.csv\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b2da0e1e",
"metadata": {},
"outputs": [],
"source": [
"# creat a txt file to hold the analysis\n",
"outputfile = os.path.join(\"Analysis\",\"budget_analysis.txt\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f3c0fd89",
"metadata": {},
"outputs": [],
"source": [
"# set var and initialize to zero\n",
"totalMonths = 0 \n",
"totalBudget = 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4f807576",
"metadata": {},
"outputs": [],
"source": [
"# set list to store all of the monthly changes\n",
"monthChange = [] \n",
"months = []"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ad264653",
"metadata": {},
"outputs": [],
"source": [
"# use csvreader object to import the csv library with csvreader object\n",
"with open(csvpath, newline = \"\") as csvfile:\n",
"# # create a csv reader object\n",
" csvreader = csv.reader(csvfile, delimiter=\",\")\n",
" \n",
" # skip the first row since it has all of the column information\n",
" #next(csvreader)\n",
" \n",
"#header: date, profit/losses\n",
"print(csvreader)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "27fc81c1",
"metadata": {},
"outputs": [],
"source": [
"for p in csvreader:\n",
" print(\"date: \" + p[0])\n",
" print(\"profit: \" + p[1])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "83749f03",
"metadata": {},
"outputs": [],
"source": [
"# read the header row\n",
"header = next(csvreader)\n",
"print(f\"csv header:{header}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3b441a20",
"metadata": {},
"outputs": [],
"source": [
"# move to the next row (first row)\n",
"firstRow = next(csvreader)\n",
"totalMonths = (len(f\"[csvfile.index(months)][csvfile]\"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a815e200",
"metadata": {},
"outputs": [],
"source": [
"output = (\n",
" f\"Financial Anaylsis \\n\"\n",
" f\"------------------------- \\n\"\n",
" f\"Total Months: {totalMonths} \\n\")\n",
"print(output)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6bf35c14",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
| {'cells': [{'cell_type': 'code', 'execution_count': null, 'id': '001887f2', 'metadata': {}, 'outputs': [], 'source': ['# import os modules to create path across operating system to load csv file\n', 'import os\n', '# module for reading csv files\n', 'import csv']}, {'cell_type': 'code', 'execution_count': null, 'id': '77c0f7d8', 'metadata': {}, 'outputs': [], 'source': ['# read csv data and load to budgetDB\n', 'csvpath = os.path.join("Resources","budget_data.csv")']}, {'cell_type': 'code', 'execution_count': null, 'id': 'b2da0e1e', 'metadata': {}, 'outputs': [], 'source': ['# creat a txt file to hold the analysis\n', 'outputfile = os.path.join("Analysis","budget_analysis.txt")']}, {'cell_type': 'code', 'execution_count': null, 'id': 'f3c0fd89', 'metadata': {}, 'outputs': [], 'source': ['# set var and initialize to zero\n', 'totalMonths = 0 \n', 'totalBudget = 0']}, {'cell_type': 'code', 'execution_count': null, 'id': '4f807576', 'metadata': {}, 'outputs': [], 'source': ['# set list to store all of the monthly changes\n', 'monthChange = [] \n', 'months = []']}, {'cell_type': 'code', 'execution_count': null, 'id': 'ad264653', 'metadata': {}, 'outputs': [], 'source': ['# use csvreader object to import the csv library with csvreader object\n', 'with open(csvpath, newline = "") as csvfile:\n', '# # create a csv reader object\n', ' csvreader = csv.reader(csvfile, delimiter=",")\n', ' \n', ' # skip the first row since it has all of the column information\n', ' #next(csvreader)\n', ' \n', '#header: date, profit/losses\n', 'print(csvreader)']}, {'cell_type': 'code', 'execution_count': null, 'id': '27fc81c1', 'metadata': {}, 'outputs': [], 'source': ['for p in csvreader:\n', ' print("date: " + p[0])\n', ' print("profit: " + p[1])']}, {'cell_type': 'code', 'execution_count': null, 'id': '83749f03', 'metadata': {}, 'outputs': [], 'source': ['# read the header row\n', 'header = next(csvreader)\n', 'print(f"csv header:{header}")']}, {'cell_type': 'code', 'execution_count': null, 'id': '3b441a20', 'metadata': {}, 'outputs': [], 'source': ['# move to the next row (first row)\n', 'firstRow = next(csvreader)\n', 'totalMonths = (len(f"[csvfile.index(months)][csvfile]"))']}, {'cell_type': 'code', 'execution_count': null, 'id': 'a815e200', 'metadata': {}, 'outputs': [], 'source': ['output = (\n', ' f"Financial Anaylsis \\n"\n', ' f"------------------------- \\n"\n', ' f"Total Months: {totalMonths} \\n")\n', 'print(output)']}, {'cell_type': 'code', 'execution_count': null, 'id': '6bf35c14', 'metadata': {}, 'outputs': [], 'source': []}], 'metadata': {'kernelspec': {'display_name': 'Python 3', 'language': 'python', 'name': 'python3'}, 'language_info': {'codemirror_mode': {'name': 'ipython', 'version': 3}, 'file_extension': '.py', 'mimetype': 'text/x-python', 'name': 'python', 'nbconvert_exporter': 'python', 'pygments_lexer': 'ipython3', 'version': '3.8.8'}}, 'nbformat': 4, 'nbformat_minor': 5} |
class Solution:
"""
@param A : an integer array
@return : a integer
"""
def singleNumber(self, A):
# write your code here
return reduce(lambda x, y: x ^ y, A) if A != [] else 0
| class Solution:
"""
@param A : an integer array
@return : a integer
"""
def single_number(self, A):
return reduce(lambda x, y: x ^ y, A) if A != [] else 0 |
# Copyright 2018 Luddite Labs 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 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.
"""
Block Quotes
------------
Line blocks are groups of lines beginning with vertical bar ("|") prefixes.
Each vertical bar prefix indicates a new line, so line breaks are preserved.
Initial indents are also significant, resulting in a nested structure.
Inline markup is supported. Continuation lines are wrapped portions
of long lines; they begin with a space in place of the vertical bar.
The left edge of a continuation line must be indented, but need not be aligned
with the left edge of the text above it. A line block ends with a blank line.
Syntax diagram:
+------------------------------+
| (current level of |
| indentation) |
+------------------------------+
+---------------------------+
| block quote |
| (body elements)+ |
| |
| -- attribution text |
| (optional) |
+---------------------------+
http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#block-quotes
"""
class BlockQuoteMixin:
def visit_block_quote(self, node):
self.open_block(indent=self.options['indent'], top_margin=1,
bottom_margin=1)
def depart_block_quote(self, node):
self.close_block()
def visit_attribution(self, node):
self.block.add_text(u'-- ')
def depart_attribution(self, node):
pass
| """
Block Quotes
------------
Line blocks are groups of lines beginning with vertical bar ("|") prefixes.
Each vertical bar prefix indicates a new line, so line breaks are preserved.
Initial indents are also significant, resulting in a nested structure.
Inline markup is supported. Continuation lines are wrapped portions
of long lines; they begin with a space in place of the vertical bar.
The left edge of a continuation line must be indented, but need not be aligned
with the left edge of the text above it. A line block ends with a blank line.
Syntax diagram:
+------------------------------+
| (current level of |
| indentation) |
+------------------------------+
+---------------------------+
| block quote |
| (body elements)+ |
| |
| -- attribution text |
| (optional) |
+---------------------------+
http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#block-quotes
"""
class Blockquotemixin:
def visit_block_quote(self, node):
self.open_block(indent=self.options['indent'], top_margin=1, bottom_margin=1)
def depart_block_quote(self, node):
self.close_block()
def visit_attribution(self, node):
self.block.add_text(u'-- ')
def depart_attribution(self, node):
pass |
# https://www.beecrowd.com.br/judge/en/problems/view/1017
car_efficiency = 12 # Km/L
time = int(input())
average_speed = int(input())
liters = (time * average_speed) / car_efficiency
print(f"{liters:.3f}") | car_efficiency = 12
time = int(input())
average_speed = int(input())
liters = time * average_speed / car_efficiency
print(f'{liters:.3f}') |
preference_list_of_user=[]
def give(def_list):
Def=def_list
global preference_list_of_user
preference_list_of_user=Def
return Def
def give_to_model():
return preference_list_of_user | preference_list_of_user = []
def give(def_list):
def = def_list
global preference_list_of_user
preference_list_of_user = Def
return Def
def give_to_model():
return preference_list_of_user |
def is_leap(year):
leap = False
# Write your logic here
# The year can be evenly divided by 4, is a leap year, unless:
# The year can be evenly divided by 100, it is NOT a leap year, unless:
# The year is also evenly divisible by 400. Then it is a leap year.
leap = (year % 4 == 0 and (year % 400 == 0 or year % 100 != 0))
return leap
year = int(input())
print(is_leap(year)) | def is_leap(year):
leap = False
leap = year % 4 == 0 and (year % 400 == 0 or year % 100 != 0)
return leap
year = int(input())
print(is_leap(year)) |
# Set random number generator
np.random.seed(2020)
# Initialize step_end, n, t_range, v and i
step_end = int(t_max / dt)
n = 50
t_range = np.linspace(0, t_max, num=step_end)
v_n = el * np.ones([n, step_end])
i = i_mean * (1 + 0.1 * (t_max / dt)**(0.5) * (2 * np.random.random([n, step_end]) - 1))
# Loop for step_end - 1 steps
for step in range(1, step_end):
# Compute v_n
v_n[:, step] = v_n[:, step - 1] + (dt / tau) * (el - v_n[:, step - 1] + r * i[:, step])
# Plot figure
with plt.xkcd():
plt.figure()
plt.title('Multiple realizations of $V_m$')
plt.xlabel('time (s)')
plt.ylabel('$V_m$ (V)')
plt.plot(t_range, v_n.T, 'k', alpha=0.3)
plt.show() | np.random.seed(2020)
step_end = int(t_max / dt)
n = 50
t_range = np.linspace(0, t_max, num=step_end)
v_n = el * np.ones([n, step_end])
i = i_mean * (1 + 0.1 * (t_max / dt) ** 0.5 * (2 * np.random.random([n, step_end]) - 1))
for step in range(1, step_end):
v_n[:, step] = v_n[:, step - 1] + dt / tau * (el - v_n[:, step - 1] + r * i[:, step])
with plt.xkcd():
plt.figure()
plt.title('Multiple realizations of $V_m$')
plt.xlabel('time (s)')
plt.ylabel('$V_m$ (V)')
plt.plot(t_range, v_n.T, 'k', alpha=0.3)
plt.show() |
# ------------------------------
# 78. Subsets
#
# Description:
# Given a set of distinct integers, nums, return all possible subsets (the power set).
# Note: The solution set must not contain duplicate subsets.
#
# For example,
# If nums = [1,2,3], a solution is:
# [
# [3],
# [1],
# [2],
# [1,2,3],
# [1,3],
# [2,3],
# [1,2],
# []
# ]
#
# Version: 1.0
# 01/20/18 by Jianfa
# ------------------------------
class Solution(object):
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
if not nums:
return [[]]
result = []
for i in range(len(nums) + 1):
result += self.combine(nums, i)
return result
def combine(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: List[List[int]]
"""
res = []
currlist = []
self.backtrack(nums, k, currlist, 0, res)
return res
def backtrack(self, nums, k, currlist, start, res):
if len(currlist) == k:
temp = [x for x in currlist]
res.append(temp)
elif len(nums) - start + len(currlist) < k:
return
else:
for i in range(start, len(nums)):
currlist.append(nums[i])
self.backtrack(nums, k, currlist, i+1, res)
currlist.pop()
# Used for testing
if __name__ == "__main__":
test = Solution()
nums = [1,3,5]
test.subsets(nums)
# ------------------------------
# Summary:
# Borrow the combine idea from 77.py. The major difference is here a number list is provided.
# The number list may include discontinuous integers. So the parameter "start" here means index
# rather than number itself. | class Solution(object):
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
if not nums:
return [[]]
result = []
for i in range(len(nums) + 1):
result += self.combine(nums, i)
return result
def combine(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: List[List[int]]
"""
res = []
currlist = []
self.backtrack(nums, k, currlist, 0, res)
return res
def backtrack(self, nums, k, currlist, start, res):
if len(currlist) == k:
temp = [x for x in currlist]
res.append(temp)
elif len(nums) - start + len(currlist) < k:
return
else:
for i in range(start, len(nums)):
currlist.append(nums[i])
self.backtrack(nums, k, currlist, i + 1, res)
currlist.pop()
if __name__ == '__main__':
test = solution()
nums = [1, 3, 5]
test.subsets(nums) |
class CompressedFastq( CompressedArchive ):
"""
Class describing an compressed fastq file
This class can be sublass'ed to implement archive filetypes that will not be unpacked by upload.py.
"""
file_ext = "fq.gz"
def set_peek( self, dataset, is_multi_byte=False ):
if not dataset.dataset.purged:
dataset.peek = "Compressed fastq file"
dataset.blurb = nice_size( dataset.get_size() )
else:
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
def display_peek( self, dataset ):
try:
return dataset.peek
except:
return "Compressed fastq file (%s)" % ( nice_size( dataset.get_size() ) )
Binary.register_unsniffable_binary_ext("fq.gz")
| class Compressedfastq(CompressedArchive):
"""
Class describing an compressed fastq file
This class can be sublass'ed to implement archive filetypes that will not be unpacked by upload.py.
"""
file_ext = 'fq.gz'
def set_peek(self, dataset, is_multi_byte=False):
if not dataset.dataset.purged:
dataset.peek = 'Compressed fastq file'
dataset.blurb = nice_size(dataset.get_size())
else:
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
def display_peek(self, dataset):
try:
return dataset.peek
except:
return 'Compressed fastq file (%s)' % nice_size(dataset.get_size())
Binary.register_unsniffable_binary_ext('fq.gz') |
# Copyright 2017 Google Inc. All rights reserved.
#
# 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.
"""Module containing the InsertableString class."""
class InsertableString(object):
"""Class that accumulates insert and replace operations for a string and
later performs them all at once so that positions in the original string
can be used in all of the operations.
"""
def __init__(self, input_string):
self.input_string = input_string
self.to_insert = []
def insert_at(self, pos, s):
"""Add an insert operation at given position."""
self.to_insert.append((pos, pos, s))
def replace_range(self, start, end, s):
"""Add a replace operation for given range. Assume that all
replace_range operations are disjoint, otherwise undefined behavior.
"""
self.to_insert.append((start, end, s))
def apply_insertions(self):
"""Return a string obtained by performing all accumulated operations."""
to_insert = reversed(sorted(self.to_insert))
result = self.input_string
for start, end, s in to_insert:
result = result[:start] + s + result[end:]
return result
| """Module containing the InsertableString class."""
class Insertablestring(object):
"""Class that accumulates insert and replace operations for a string and
later performs them all at once so that positions in the original string
can be used in all of the operations.
"""
def __init__(self, input_string):
self.input_string = input_string
self.to_insert = []
def insert_at(self, pos, s):
"""Add an insert operation at given position."""
self.to_insert.append((pos, pos, s))
def replace_range(self, start, end, s):
"""Add a replace operation for given range. Assume that all
replace_range operations are disjoint, otherwise undefined behavior.
"""
self.to_insert.append((start, end, s))
def apply_insertions(self):
"""Return a string obtained by performing all accumulated operations."""
to_insert = reversed(sorted(self.to_insert))
result = self.input_string
for (start, end, s) in to_insert:
result = result[:start] + s + result[end:]
return result |
class PaginatorOptions:
def __init__(
self,
page_number: int,
page_size: int,
sort_column: str = None,
sort_descending: bool = None
):
self.sort_column = sort_column
self.sort_descending = sort_descending
self.page_number = page_number
self.page_size = page_size
assert (page_number is not None and page_size) \
or (page_number is not None and not page_size), \
'Specify both page_number and page_size'
if not sort_column:
self.sort_column = 'id'
self.sort_descending = True
__all__ = ['PaginatorOptions']
| class Paginatoroptions:
def __init__(self, page_number: int, page_size: int, sort_column: str=None, sort_descending: bool=None):
self.sort_column = sort_column
self.sort_descending = sort_descending
self.page_number = page_number
self.page_size = page_size
assert page_number is not None and page_size or (page_number is not None and (not page_size)), 'Specify both page_number and page_size'
if not sort_column:
self.sort_column = 'id'
self.sort_descending = True
__all__ = ['PaginatorOptions'] |
property_setter = {
"dt": "Property Setter",
"filters": [
["name", "in", [
'Purchase Order-read_only_onload',
'Purchase Order-default_print_format',
'Purchase Invoice-naming_series-options',
'Purchase Invoice-naming_series-default',
'Delivery Note-naming_series-options',
'Delivery Note-naming_series-default',
'Sales Order-naming_series-options',
'Sales Order-naming_series-default',
'Purchase Receipt-naming_series-options',
'Purchase Receipt-naming_series-default',
'Production Order-naming_series-options',
'Production Order-naming_series-default',
'Stock Entry-naming_series-options',
'Stock Entry-naming_series-default',
'Purchase Order-naming_series-options',
'Purchase Order-naming_series-default',
'Sales Invoice-naming_series-options',
'Sales Invoice-naming_series-default',
'Purchase Invoice-read_only_onload',
'Stock Reconciliation-read_only_onload',
'Delivery Note-read_only_onload',
'Stock Entry-read_only_onload',
'Sales Invoice-po_no-read_only',
'Sales Invoice-read_only_onload',
'Purchase Receipt Item-read_only_onload',
'Custom Field-fieldname-width',
'Custom Field-dt-width',
'Sales Invoice Item-read_only_onload',
'Sales Invoice Item-warehouse-default',
'Sales Order-po_no-read_only',
'Sales Order-read_only_onload',
'Item-read_only_onload',
'User-read_only_onload',
'User-sort_field',
'Asset Maintenance Task-periodicity-options',
'Asset Maintenance Task-read_only_onload',
'Asset-read_only_onload',
'Sales Invoice Item-customer_item_code-print_hide',
'Sales Invoice Item-customer_item_code-hidden',
'Sales Order Item-read_only_onload',
'BOM-with_operations-default',
'BOM-read_only_onload',
'Stock Entry-default_print_format',
'Purchase Receipt-read_only_onload',
'Production Order-skip_transfer-default',
'Production Order-skip_transfer-read_only',
'Production Order-use_multi_level_bom-default',
'Production Order-use_multi_level_bom-read_only',
'Production Order-read_only_onload',
'Purchase Order Item-amount-precision',
'Purchase Order Item-read_only_onload',
'Purchase Order Item-rate-precision',
'Stock Entry-use_multi_level_bom-default',
'Stock Entry-use_multi_level_bom-read_only',
'Stock Entry-from_bom-read_only',
'Stock Entry-from_bom-default',
'Stock Entry Detail-barcode-read_only',
'Stock Entry Detail-read_only_onload',
'Stock Entry-to_warehouse-read_only',
'Stock Entry-from_warehouse-read_only',
'Stock Entry-remarks-reqd',
'Purchase Receipt-in_words-print_hide',
'Purchase Receipt-in_words-hidden',
'Purchase Invoice-in_words-print_hide',
'Purchase Invoice-in_words-hidden',
'Purchase Order-in_words-print_hide',
'Purchase Order-in_words-hidden',
'Supplier Quotation-in_words-print_hide',
'Supplier Quotation-in_words-hidden',
'Delivery Note-in_words-print_hide',
'Delivery Note-in_words-hidden',
'Sales Invoice-in_words-print_hide',
'Sales Invoice-in_words-hidden',
'Sales Order-in_words-print_hide',
'Sales Order-in_words-hidden',
'Quotation-in_words-print_hide',
'Quotation-in_words-hidden',
'Purchase Order-rounded_total-print_hide',
'Purchase Order-rounded_total-hidden',
'Purchase Order-base_rounded_total-print_hide',
'Purchase Order-base_rounded_total-hidden',
'Supplier Quotation-rounded_total-print_hide',
'Supplier Quotation-rounded_total-hidden',
'Supplier Quotation-base_rounded_total-print_hide',
'Supplier Quotation-base_rounded_total-hidden',
'Delivery Note-rounded_total-print_hide',
'Delivery Note-rounded_total-hidden',
'Delivery Note-base_rounded_total-print_hide',
'Delivery Note-base_rounded_total-hidden',
'Sales Invoice-rounded_total-print_hide',
'Sales Invoice-rounded_total-hidden',
'Sales Invoice-base_rounded_total-print_hide',
'Sales Invoice-base_rounded_total-hidden',
'Sales Order-rounded_total-print_hide',
'Sales Order-rounded_total-hidden',
'Sales Order-base_rounded_total-print_hide',
'Sales Order-base_rounded_total-hidden',
'Quotation-rounded_total-print_hide',
'Quotation-rounded_total-hidden',
'Quotation-base_rounded_total-print_hide',
'Quotation-base_rounded_total-hidden',
'Dropbox Settings-dropbox_setup_via_site_config-hidden',
'Dropbox Settings-read_only_onload',
'Dropbox Settings-dropbox_access_token-hidden',
'Activity Log-subject-width',
'Employee-employee_number-hidden',
'Employee-employee_number-reqd',
'Employee-naming_series-reqd',
'Employee-naming_series-hidden',
'Supplier-naming_series-hidden',
'Supplier-naming_series-reqd',
'Delivery Note-tax_id-print_hide',
'Delivery Note-tax_id-hidden',
'Sales Invoice-tax_id-print_hide',
'Sales Invoice-tax_id-hidden',
'Sales Order-tax_id-print_hide',
'Sales Order-tax_id-hidden',
'Customer-naming_series-hidden',
'Customer-naming_series-reqd',
'Stock Entry Detail-barcode-hidden',
'Stock Reconciliation Item-barcode-hidden',
'Item-barcode-hidden',
'Delivery Note Item-barcode-hidden',
'Sales Invoice Item-barcode-hidden',
'Purchase Receipt Item-barcode-hidden',
'Item-item_code-reqd',
'Item-item_code-hidden',
'Item-naming_series-hidden',
'Item-naming_series-reqd',
'Item-manufacturing-collapsible_depends_on',
'Purchase Invoice-payment_schedule-print_hide',
'Purchase Invoice-due_date-print_hide',
'Purchase Order-payment_schedule-print_hide',
'Purchase Order-due_date-print_hide',
'Sales Invoice-payment_schedule-print_hide',
'Sales Invoice-due_date-print_hide',
'Sales Order-payment_schedule-print_hide',
'Sales Order-due_date-print_hide',
'Journal Entry Account-sort_order',
'Journal Entry Account-account_currency-print_hide',
'Sales Invoice-taxes_and_charges-reqd',
'Sales Taxes and Charges-sort_order',
'Sales Invoice Item-customer_item_code-label',
'Sales Invoice-default_print_format',
'Purchase Taxes and Charges Template-sort_order',
'Serial No-company-in_standard_filter',
'Serial No-amc_expiry_date-in_standard_filter',
'Serial No-warranty_expiry_date-in_standard_filter',
'Serial No-maintenance_status-in_standard_filter',
'Serial No-customer_name-in_standard_filter',
'Serial No-customer_name-bold',
'Serial No-customer-in_standard_filter',
'Serial No-delivery_document_no-in_standard_filter',
'Serial No-delivery_document_type-in_standard_filter',
'Serial No-supplier_name-bold',
'Serial No-supplier_name-in_standard_filter',
'Serial No-supplier-in_standard_filter',
'Serial No-purchase_date-in_standard_filter',
'Serial No-description-in_standard_filter',
'Delivery Note-section_break1-hidden',
'Delivery Note-sales_team_section_break-hidden',
'Delivery Note-project-hidden',
'Delivery Note-taxes-hidden',
'Delivery Note-taxes_and_charges-hidden',
'Delivery Note-taxes_section-hidden',
'Delivery Note-posting_time-print_hide',
'Delivery Note-posting_time-description',
'Delivery Note Item-warehouse-default',
'Item-income_account-default',
'Item-income_account-depends_on',
'Purchase Receipt-remarks-reqd',
'Purchase Receipt-taxes-hidden',
'Purchase Receipt-taxes_and_charges-hidden',
'Purchase Receipt Item-base_rate-fieldtype',
'Purchase Receipt Item-amount-in_list_view',
'Purchase Receipt Item-rate-fieldtype',
'Purchase Receipt Item-base_price_list_rate-fieldtype',
'Purchase Receipt Item-price_list_rate-fieldtype',
'Purchase Receipt Item-qty-in_list_view',
'Stock Entry-title_field',
'Stock Entry-search_fields',
'Stock Entry-project-hidden',
'Stock Entry-supplier-in_list_view',
'Stock Entry-from_warehouse-in_list_view',
'Stock Entry-to_warehouse-in_list_view',
'Stock Entry-purpose-default',
'ToDo-sort_order',
'Currency Exchange-sort_order',
'Company-abbr-in_list_view',
'Stock Reconciliation-expense_account-in_standard_filter',
'Stock Reconciliation-expense_account-depends_on',
'Sales Order-taxes-hidden',
'Warehouse-sort_order',
'Address-fax-hidden',
'Address-fax-read_only',
'Address-phone-hidden',
'Address-email_id-hidden',
'Address-city-reqd',
'BOM Operation-sort_order',
'BOM Item-scrap-read_only',
'BOM-operations_section-read_only',
'BOM-operations-read_only',
'BOM-rm_cost_as_per-reqd',
'Journal Entry-pay_to_recd_from-allow_on_submit',
'Journal Entry-remark-in_global_search',
'Journal Entry-total_amount-bold',
'Journal Entry-total_amount-print_hide',
'Journal Entry-total_amount-in_list_view',
'Journal Entry-total_credit-print_hide',
'Journal Entry-total_debit-print_hide',
'Journal Entry-total_debit-in_list_view',
'Journal Entry-user_remark-print_hide',
'Stock Entry-to_warehouse-hidden',
'Purchase Order Item-rate-fieldtype',
'Journal Entry Account-exchange_rate-print_hide',
'Sales Invoice Item-item_code-label',
'BOM-rm_cost_as_per-options',
'Purchase Order Item-price_list_rate-fieldtype',
'Reconciliation-expense_account-read_only',
'Customer-tax_id-read_only',
'Purchase Order Item-amount-fieldtype',
'Stock Entry-project-hidden'
]
]
]
} | property_setter = {'dt': 'Property Setter', 'filters': [['name', 'in', ['Purchase Order-read_only_onload', 'Purchase Order-default_print_format', 'Purchase Invoice-naming_series-options', 'Purchase Invoice-naming_series-default', 'Delivery Note-naming_series-options', 'Delivery Note-naming_series-default', 'Sales Order-naming_series-options', 'Sales Order-naming_series-default', 'Purchase Receipt-naming_series-options', 'Purchase Receipt-naming_series-default', 'Production Order-naming_series-options', 'Production Order-naming_series-default', 'Stock Entry-naming_series-options', 'Stock Entry-naming_series-default', 'Purchase Order-naming_series-options', 'Purchase Order-naming_series-default', 'Sales Invoice-naming_series-options', 'Sales Invoice-naming_series-default', 'Purchase Invoice-read_only_onload', 'Stock Reconciliation-read_only_onload', 'Delivery Note-read_only_onload', 'Stock Entry-read_only_onload', 'Sales Invoice-po_no-read_only', 'Sales Invoice-read_only_onload', 'Purchase Receipt Item-read_only_onload', 'Custom Field-fieldname-width', 'Custom Field-dt-width', 'Sales Invoice Item-read_only_onload', 'Sales Invoice Item-warehouse-default', 'Sales Order-po_no-read_only', 'Sales Order-read_only_onload', 'Item-read_only_onload', 'User-read_only_onload', 'User-sort_field', 'Asset Maintenance Task-periodicity-options', 'Asset Maintenance Task-read_only_onload', 'Asset-read_only_onload', 'Sales Invoice Item-customer_item_code-print_hide', 'Sales Invoice Item-customer_item_code-hidden', 'Sales Order Item-read_only_onload', 'BOM-with_operations-default', 'BOM-read_only_onload', 'Stock Entry-default_print_format', 'Purchase Receipt-read_only_onload', 'Production Order-skip_transfer-default', 'Production Order-skip_transfer-read_only', 'Production Order-use_multi_level_bom-default', 'Production Order-use_multi_level_bom-read_only', 'Production Order-read_only_onload', 'Purchase Order Item-amount-precision', 'Purchase Order Item-read_only_onload', 'Purchase Order Item-rate-precision', 'Stock Entry-use_multi_level_bom-default', 'Stock Entry-use_multi_level_bom-read_only', 'Stock Entry-from_bom-read_only', 'Stock Entry-from_bom-default', 'Stock Entry Detail-barcode-read_only', 'Stock Entry Detail-read_only_onload', 'Stock Entry-to_warehouse-read_only', 'Stock Entry-from_warehouse-read_only', 'Stock Entry-remarks-reqd', 'Purchase Receipt-in_words-print_hide', 'Purchase Receipt-in_words-hidden', 'Purchase Invoice-in_words-print_hide', 'Purchase Invoice-in_words-hidden', 'Purchase Order-in_words-print_hide', 'Purchase Order-in_words-hidden', 'Supplier Quotation-in_words-print_hide', 'Supplier Quotation-in_words-hidden', 'Delivery Note-in_words-print_hide', 'Delivery Note-in_words-hidden', 'Sales Invoice-in_words-print_hide', 'Sales Invoice-in_words-hidden', 'Sales Order-in_words-print_hide', 'Sales Order-in_words-hidden', 'Quotation-in_words-print_hide', 'Quotation-in_words-hidden', 'Purchase Order-rounded_total-print_hide', 'Purchase Order-rounded_total-hidden', 'Purchase Order-base_rounded_total-print_hide', 'Purchase Order-base_rounded_total-hidden', 'Supplier Quotation-rounded_total-print_hide', 'Supplier Quotation-rounded_total-hidden', 'Supplier Quotation-base_rounded_total-print_hide', 'Supplier Quotation-base_rounded_total-hidden', 'Delivery Note-rounded_total-print_hide', 'Delivery Note-rounded_total-hidden', 'Delivery Note-base_rounded_total-print_hide', 'Delivery Note-base_rounded_total-hidden', 'Sales Invoice-rounded_total-print_hide', 'Sales Invoice-rounded_total-hidden', 'Sales Invoice-base_rounded_total-print_hide', 'Sales Invoice-base_rounded_total-hidden', 'Sales Order-rounded_total-print_hide', 'Sales Order-rounded_total-hidden', 'Sales Order-base_rounded_total-print_hide', 'Sales Order-base_rounded_total-hidden', 'Quotation-rounded_total-print_hide', 'Quotation-rounded_total-hidden', 'Quotation-base_rounded_total-print_hide', 'Quotation-base_rounded_total-hidden', 'Dropbox Settings-dropbox_setup_via_site_config-hidden', 'Dropbox Settings-read_only_onload', 'Dropbox Settings-dropbox_access_token-hidden', 'Activity Log-subject-width', 'Employee-employee_number-hidden', 'Employee-employee_number-reqd', 'Employee-naming_series-reqd', 'Employee-naming_series-hidden', 'Supplier-naming_series-hidden', 'Supplier-naming_series-reqd', 'Delivery Note-tax_id-print_hide', 'Delivery Note-tax_id-hidden', 'Sales Invoice-tax_id-print_hide', 'Sales Invoice-tax_id-hidden', 'Sales Order-tax_id-print_hide', 'Sales Order-tax_id-hidden', 'Customer-naming_series-hidden', 'Customer-naming_series-reqd', 'Stock Entry Detail-barcode-hidden', 'Stock Reconciliation Item-barcode-hidden', 'Item-barcode-hidden', 'Delivery Note Item-barcode-hidden', 'Sales Invoice Item-barcode-hidden', 'Purchase Receipt Item-barcode-hidden', 'Item-item_code-reqd', 'Item-item_code-hidden', 'Item-naming_series-hidden', 'Item-naming_series-reqd', 'Item-manufacturing-collapsible_depends_on', 'Purchase Invoice-payment_schedule-print_hide', 'Purchase Invoice-due_date-print_hide', 'Purchase Order-payment_schedule-print_hide', 'Purchase Order-due_date-print_hide', 'Sales Invoice-payment_schedule-print_hide', 'Sales Invoice-due_date-print_hide', 'Sales Order-payment_schedule-print_hide', 'Sales Order-due_date-print_hide', 'Journal Entry Account-sort_order', 'Journal Entry Account-account_currency-print_hide', 'Sales Invoice-taxes_and_charges-reqd', 'Sales Taxes and Charges-sort_order', 'Sales Invoice Item-customer_item_code-label', 'Sales Invoice-default_print_format', 'Purchase Taxes and Charges Template-sort_order', 'Serial No-company-in_standard_filter', 'Serial No-amc_expiry_date-in_standard_filter', 'Serial No-warranty_expiry_date-in_standard_filter', 'Serial No-maintenance_status-in_standard_filter', 'Serial No-customer_name-in_standard_filter', 'Serial No-customer_name-bold', 'Serial No-customer-in_standard_filter', 'Serial No-delivery_document_no-in_standard_filter', 'Serial No-delivery_document_type-in_standard_filter', 'Serial No-supplier_name-bold', 'Serial No-supplier_name-in_standard_filter', 'Serial No-supplier-in_standard_filter', 'Serial No-purchase_date-in_standard_filter', 'Serial No-description-in_standard_filter', 'Delivery Note-section_break1-hidden', 'Delivery Note-sales_team_section_break-hidden', 'Delivery Note-project-hidden', 'Delivery Note-taxes-hidden', 'Delivery Note-taxes_and_charges-hidden', 'Delivery Note-taxes_section-hidden', 'Delivery Note-posting_time-print_hide', 'Delivery Note-posting_time-description', 'Delivery Note Item-warehouse-default', 'Item-income_account-default', 'Item-income_account-depends_on', 'Purchase Receipt-remarks-reqd', 'Purchase Receipt-taxes-hidden', 'Purchase Receipt-taxes_and_charges-hidden', 'Purchase Receipt Item-base_rate-fieldtype', 'Purchase Receipt Item-amount-in_list_view', 'Purchase Receipt Item-rate-fieldtype', 'Purchase Receipt Item-base_price_list_rate-fieldtype', 'Purchase Receipt Item-price_list_rate-fieldtype', 'Purchase Receipt Item-qty-in_list_view', 'Stock Entry-title_field', 'Stock Entry-search_fields', 'Stock Entry-project-hidden', 'Stock Entry-supplier-in_list_view', 'Stock Entry-from_warehouse-in_list_view', 'Stock Entry-to_warehouse-in_list_view', 'Stock Entry-purpose-default', 'ToDo-sort_order', 'Currency Exchange-sort_order', 'Company-abbr-in_list_view', 'Stock Reconciliation-expense_account-in_standard_filter', 'Stock Reconciliation-expense_account-depends_on', 'Sales Order-taxes-hidden', 'Warehouse-sort_order', 'Address-fax-hidden', 'Address-fax-read_only', 'Address-phone-hidden', 'Address-email_id-hidden', 'Address-city-reqd', 'BOM Operation-sort_order', 'BOM Item-scrap-read_only', 'BOM-operations_section-read_only', 'BOM-operations-read_only', 'BOM-rm_cost_as_per-reqd', 'Journal Entry-pay_to_recd_from-allow_on_submit', 'Journal Entry-remark-in_global_search', 'Journal Entry-total_amount-bold', 'Journal Entry-total_amount-print_hide', 'Journal Entry-total_amount-in_list_view', 'Journal Entry-total_credit-print_hide', 'Journal Entry-total_debit-print_hide', 'Journal Entry-total_debit-in_list_view', 'Journal Entry-user_remark-print_hide', 'Stock Entry-to_warehouse-hidden', 'Purchase Order Item-rate-fieldtype', 'Journal Entry Account-exchange_rate-print_hide', 'Sales Invoice Item-item_code-label', 'BOM-rm_cost_as_per-options', 'Purchase Order Item-price_list_rate-fieldtype', 'Reconciliation-expense_account-read_only', 'Customer-tax_id-read_only', 'Purchase Order Item-amount-fieldtype', 'Stock Entry-project-hidden']]]} |
""" First class definition"""
class Cat:
pass
class RaceCar:
pass
cat1 = Cat()
cat2 = Cat()
cat3 = Cat() | """ First class definition"""
class Cat:
pass
class Racecar:
pass
cat1 = cat()
cat2 = cat()
cat3 = cat() |
# We can transition on native options using this
# //command_line_option:<option-name> syntax
_BUILD_SETTING = "//command_line_option:test_arg"
def _test_arg_transition_impl(settings, attr):
_ignore = (settings, attr)
return {_BUILD_SETTING: ["new arg"]}
_test_arg_transition = transition(
implementation = _test_arg_transition_impl,
inputs = [],
outputs = [_BUILD_SETTING],
)
def _test_transition_rule_impl(ctx):
# We need to copy the executable because starlark doesn't allow
# providing an executable not created by the rule
executable_src = ctx.executable.actual_test
executable_dst = ctx.actions.declare_file(ctx.label.name)
ctx.actions.run_shell(
tools = [executable_src],
outputs = [executable_dst],
command = "cp %s %s" % (executable_src.path, executable_dst.path),
)
runfiles = ctx.attr.actual_test[0][DefaultInfo].default_runfiles
return [DefaultInfo(runfiles = runfiles, executable = executable_dst)]
transition_rule_test = rule(
implementation = _test_transition_rule_impl,
attrs = {
"actual_test": attr.label(cfg = _test_arg_transition, executable = True),
"_allowlist_function_transition": attr.label(
default = "@bazel_tools//tools/allowlists/function_transition_allowlist",
),
},
test = True,
)
def test_arg_cc_test(name, **kwargs):
cc_test_name = name + "_native_test"
transition_rule_test(
name = name,
actual_test = ":%s" % cc_test_name,
)
native.cc_test(name = cc_test_name, **kwargs)
| _build_setting = '//command_line_option:test_arg'
def _test_arg_transition_impl(settings, attr):
_ignore = (settings, attr)
return {_BUILD_SETTING: ['new arg']}
_test_arg_transition = transition(implementation=_test_arg_transition_impl, inputs=[], outputs=[_BUILD_SETTING])
def _test_transition_rule_impl(ctx):
executable_src = ctx.executable.actual_test
executable_dst = ctx.actions.declare_file(ctx.label.name)
ctx.actions.run_shell(tools=[executable_src], outputs=[executable_dst], command='cp %s %s' % (executable_src.path, executable_dst.path))
runfiles = ctx.attr.actual_test[0][DefaultInfo].default_runfiles
return [default_info(runfiles=runfiles, executable=executable_dst)]
transition_rule_test = rule(implementation=_test_transition_rule_impl, attrs={'actual_test': attr.label(cfg=_test_arg_transition, executable=True), '_allowlist_function_transition': attr.label(default='@bazel_tools//tools/allowlists/function_transition_allowlist')}, test=True)
def test_arg_cc_test(name, **kwargs):
cc_test_name = name + '_native_test'
transition_rule_test(name=name, actual_test=':%s' % cc_test_name)
native.cc_test(name=cc_test_name, **kwargs) |
balance = 700
papers=[100, 50, 10, 5,4,3,2,1]
def withdraw(balance, request):
if balance < request :
print('Sorry, you are try withdraw: {0}, but Your balance just : {1}'.format(request, balance))
else:
print ('your balance >>', balance)
orgnal_request = request
while request > 0:
for i in papers:
while request >= i:
print('give', i)
request-=i
balance -= orgnal_request
return balance
def withdraw1(balance, request):
give = 0
if balance < request :
print('Sorry, you are try withdraw: {0}, but Your balance just : {1}'.format(request, balance))
else:
print ('your balance >>', balance)
balance -= request
while request > 0:
if request >= 100:
give = 100
elif request >= 50:
give = 50
elif request >= 10:
give = 10
elif request >= 5:
give = 5
else :
give = request
print('give',give)
request -= give
return balance
balance = withdraw(balance, 777)
balance = withdraw(balance, 276)
balance = withdraw1(balance, 276)
balance = withdraw(balance, 34)
balance = withdraw1(balance, 5)
balance = withdraw1(balance, 500) | balance = 700
papers = [100, 50, 10, 5, 4, 3, 2, 1]
def withdraw(balance, request):
if balance < request:
print('Sorry, you are try withdraw: {0}, but Your balance just : {1}'.format(request, balance))
else:
print('your balance >>', balance)
orgnal_request = request
while request > 0:
for i in papers:
while request >= i:
print('give', i)
request -= i
balance -= orgnal_request
return balance
def withdraw1(balance, request):
give = 0
if balance < request:
print('Sorry, you are try withdraw: {0}, but Your balance just : {1}'.format(request, balance))
else:
print('your balance >>', balance)
balance -= request
while request > 0:
if request >= 100:
give = 100
elif request >= 50:
give = 50
elif request >= 10:
give = 10
elif request >= 5:
give = 5
else:
give = request
print('give', give)
request -= give
return balance
balance = withdraw(balance, 777)
balance = withdraw(balance, 276)
balance = withdraw1(balance, 276)
balance = withdraw(balance, 34)
balance = withdraw1(balance, 5)
balance = withdraw1(balance, 500) |
"""Top-level package for Feature Flag Server SDK."""
__author__ = """Enver Bisevac"""
__email__ = "enver@bisevac.com"
__version__ = "0.1.0"
| """Top-level package for Feature Flag Server SDK."""
__author__ = 'Enver Bisevac'
__email__ = 'enver@bisevac.com'
__version__ = '0.1.0' |
arr_1 = ["1","2","3","4","5","6","7"]
arr_2 = []
for n in arr_1:
arr_2.insert(0,n)
print(arr_2)
| arr_1 = ['1', '2', '3', '4', '5', '6', '7']
arr_2 = []
for n in arr_1:
arr_2.insert(0, n)
print(arr_2) |
"""Top-level package for z2z Metadata analysis."""
__author__ = """Isthmus // Mitchell P. Krawiec-Thayer"""
__email__ = 'project_z2z_metadata@mitchellpkt.com'
__version__ = '0.0.1'
| """Top-level package for z2z Metadata analysis."""
__author__ = 'Isthmus // Mitchell P. Krawiec-Thayer'
__email__ = 'project_z2z_metadata@mitchellpkt.com'
__version__ = '0.0.1' |
class Player(object):
"""Player class
Attributes:
name (str): Player name
"""
def __init__(self, name):
"""Initialize player
Args:
name (str): Player name
"""
self.name = name
def place_troops(self, board, n_troops):
"""Place troops on territories
Args:
board (Gameboard): The gameboard
n_troops (int): Number of new troops to deploy
Returns:
(dict(str, int)): Dictionary of territories with number of troops to be deployed
"""
raise NotImplementedError('place_troops not implemented')
def do_attack(self, board):
"""Decide whether or not to continue attacking
Args:
board (Gameboard): The gameboard
Returns:
(bool): Whether or not to continue attacking
"""
raise NotImplementedError('do_attack not implemented')
def attack(self, board):
"""Attack phase
Args:
board (Gameboard): The gameboard
Returns:
(str, str): from_territory, to_territory
"""
raise NotImplementedError('attack not implemented')
def do_move_troops(self, board):
"""Decide whether or not to move troops
Args:
board (Gameboard): The gameboard
Returns:
(bool): Whether or not to move troops
"""
raise NotImplementedError('do_move_troops not implemented')
def move_troops(self, board):
"""Troop movement phase
Args:
board (Gameboard): The gameboard
Returns:
(str, str, int): from_territory, to_territory, n_troops
"""
raise NotImplementedError('move_troops not implemented')
| class Player(object):
"""Player class
Attributes:
name (str): Player name
"""
def __init__(self, name):
"""Initialize player
Args:
name (str): Player name
"""
self.name = name
def place_troops(self, board, n_troops):
"""Place troops on territories
Args:
board (Gameboard): The gameboard
n_troops (int): Number of new troops to deploy
Returns:
(dict(str, int)): Dictionary of territories with number of troops to be deployed
"""
raise not_implemented_error('place_troops not implemented')
def do_attack(self, board):
"""Decide whether or not to continue attacking
Args:
board (Gameboard): The gameboard
Returns:
(bool): Whether or not to continue attacking
"""
raise not_implemented_error('do_attack not implemented')
def attack(self, board):
"""Attack phase
Args:
board (Gameboard): The gameboard
Returns:
(str, str): from_territory, to_territory
"""
raise not_implemented_error('attack not implemented')
def do_move_troops(self, board):
"""Decide whether or not to move troops
Args:
board (Gameboard): The gameboard
Returns:
(bool): Whether or not to move troops
"""
raise not_implemented_error('do_move_troops not implemented')
def move_troops(self, board):
"""Troop movement phase
Args:
board (Gameboard): The gameboard
Returns:
(str, str, int): from_territory, to_territory, n_troops
"""
raise not_implemented_error('move_troops not implemented') |
n=int(input("Nhap vao mot so:"))
d=dict()
for i in range(1, n+1):
d[i]=i*i
print(d) | n = int(input('Nhap vao mot so:'))
d = dict()
for i in range(1, n + 1):
d[i] = i * i
print(d) |
#!/usr/bin/env python
# Copyright 2008-2010 Isaac Gouy
# Copyright (c) 2013, 2014, Regents of the University of California
# Copyright (c) 2017, 2018, Oracle and/or its affiliates.
# All rights reserved.
#
# Revised BSD license
#
# This is a specific instance of the Open Source Initiative (OSI) BSD license
# template http://www.opensource.org/licenses/bsd-license.php
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# Neither the name of "The Computer Language Benchmarks Game" nor the name of
# "The Computer Language Shootout Benchmarks" nor the name "nanobench" nor the
# name "bencher" nor the names of its contributors may be used to endorse or
# promote products derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#runas solve()
#unittest.skip recursive generator
#pythran export solve()
# 01/08/14 modified for benchmarking by Wei Zhang
COINS = [1, 2, 5, 10, 20, 50, 100, 200]
# test
def _sum(iterable):
sum = None
for i in iterable:
if sum is None:
sum = i
else:
sum += i
return sum
def balance(pattern):
return _sum(COINS[x]*pattern[x] for x in range(0, len(pattern)))
def gen(pattern, coinnum, num):
coin = COINS[coinnum]
for p in range(0, num//coin + 1):
newpat = pattern[:coinnum] + (p,)
bal = balance(newpat)
if bal > num:
return
elif bal == num:
yield newpat
elif coinnum < len(COINS)-1:
for pat in gen(newpat, coinnum+1, num):
yield pat
def solve(total):
'''
In England the currency is made up of pound, P, and pence, p, and there are eight coins in general circulation:
1p, 2p, 5p, 10p, 20p, 50p, P1 (100p) and P2 (200p).
It is possible to make P2 in the following way:
1 P1 + 1 50p + 2 20p + 1 5p + 1 2p + 3 1p
How many different ways can P2 be made using any number of coins?
'''
return _sum(1 for pat in gen((), 0, total))
def measure(num):
result = solve(num)
print('total number of different ways: ', result)
def __benchmark__(num=200):
measure(num)
| coins = [1, 2, 5, 10, 20, 50, 100, 200]
def _sum(iterable):
sum = None
for i in iterable:
if sum is None:
sum = i
else:
sum += i
return sum
def balance(pattern):
return _sum((COINS[x] * pattern[x] for x in range(0, len(pattern))))
def gen(pattern, coinnum, num):
coin = COINS[coinnum]
for p in range(0, num // coin + 1):
newpat = pattern[:coinnum] + (p,)
bal = balance(newpat)
if bal > num:
return
elif bal == num:
yield newpat
elif coinnum < len(COINS) - 1:
for pat in gen(newpat, coinnum + 1, num):
yield pat
def solve(total):
"""
In England the currency is made up of pound, P, and pence, p, and there are eight coins in general circulation:
1p, 2p, 5p, 10p, 20p, 50p, P1 (100p) and P2 (200p).
It is possible to make P2 in the following way:
1 P1 + 1 50p + 2 20p + 1 5p + 1 2p + 3 1p
How many different ways can P2 be made using any number of coins?
"""
return _sum((1 for pat in gen((), 0, total)))
def measure(num):
result = solve(num)
print('total number of different ways: ', result)
def __benchmark__(num=200):
measure(num) |
# Problem: Student Attendance Record I
# Difficulty: Easy
# Category: String
# Leetcode 551: https://leetcode.com/problems/student-attendance-record-i/#/description
# Description:
"""
You are given a string representing an attendance record for a student.
The record only contains the following three characters:
'A' : Absent.
'L' : Late.
'P' : Present.
A student could be rewarded if his attendance record doesn't contain
more than one 'A' (absent) or more than two continuous 'L' (late).
You need to return whether the student could be rewarded according to his attendance record.
Example 1:
Input: "PPALLP"
Output: True
Example 2:
Input: "PPALLL"
Output: False
"""
class Solution(object):
def check_record(self, s):
absent = True
late = True
abscn = 0
i = 0
while i < len(s) and absent and late:
if abscn > 1:
absent = False
if s[i] == 'A':
abscn += 1
if s[i] == 'L' and i + 3 <= len(s) and set(s[i:i+3]) == {'L'}:
late = False
i += 1
if abscn > 1:
absent = False
return absent and late
obj = Solution()
s1 = 'PPALLP'
s2 = 'PPALLL'
s3 = 'ALLLPPPLLPL'
s4 = 'AA'
print(obj.check_record(s1))
print(obj.check_record(s2))
print(obj.check_record(s3))
print(obj.check_record(s4))
| """
You are given a string representing an attendance record for a student.
The record only contains the following three characters:
'A' : Absent.
'L' : Late.
'P' : Present.
A student could be rewarded if his attendance record doesn't contain
more than one 'A' (absent) or more than two continuous 'L' (late).
You need to return whether the student could be rewarded according to his attendance record.
Example 1:
Input: "PPALLP"
Output: True
Example 2:
Input: "PPALLL"
Output: False
"""
class Solution(object):
def check_record(self, s):
absent = True
late = True
abscn = 0
i = 0
while i < len(s) and absent and late:
if abscn > 1:
absent = False
if s[i] == 'A':
abscn += 1
if s[i] == 'L' and i + 3 <= len(s) and (set(s[i:i + 3]) == {'L'}):
late = False
i += 1
if abscn > 1:
absent = False
return absent and late
obj = solution()
s1 = 'PPALLP'
s2 = 'PPALLL'
s3 = 'ALLLPPPLLPL'
s4 = 'AA'
print(obj.check_record(s1))
print(obj.check_record(s2))
print(obj.check_record(s3))
print(obj.check_record(s4)) |
# ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: missingdata.py
#
# Tests: missing data
#
# Programmer: Brad Whitlock
# Date: Thu Jan 19 09:49:15 PST 2012
#
# Modifications:
#
# ----------------------------------------------------------------------------
def SetTheView():
v = GetView2D()
v.viewportCoords = (0.02, 0.98, 0.25, 1)
SetView2D(v)
def test0(datapath):
TestSection("Missing data")
OpenDatabase(pjoin(datapath,"earth.nc"))
AddPlot("Pseudocolor", "height")
DrawPlots()
SetTheView()
Test("missingdata_0_00")
ChangeActivePlotsVar("carbon_particulates")
Test("missingdata_0_01")
ChangeActivePlotsVar("seatemp")
Test("missingdata_0_02")
ChangeActivePlotsVar("population")
Test("missingdata_0_03")
# Pick on higher zone numbers to make sure pick works.
PickByNode(domain=0, element=833621)
TestText("missingdata_0_04", GetPickOutput())
DeleteAllPlots()
def test1(datapath):
TestSection("Expressions and missing data")
OpenDatabase(pjoin(datapath,"earth.nc"))
DefineScalarExpression("meaningless", "carbon_particulates + seatemp")
AddPlot("Pseudocolor", "meaningless")
DrawPlots()
SetTheView()
Test("missingdata_1_00")
DeleteAllPlots()
DefineVectorExpression("color", "color(red,green,blue)")
AddPlot("Truecolor", "color")
DrawPlots()
ResetView()
SetTheView()
Test("missingdata_1_01")
DefineVectorExpression("color2", "color(population*0.364,green,blue)")
ChangeActivePlotsVar("color2")
v1 = GetView2D()
v1.viewportCoords = (0.02, 0.98, 0.02, 0.98)
v1.windowCoords = (259.439, 513.299, 288.93, 540) #25.466)
SetView2D(v1)
Test("missingdata_1_02")
def main():
datapath = data_path("netcdf_test_data")
test0(datapath)
test1(datapath)
main()
Exit()
| def set_the_view():
v = get_view2_d()
v.viewportCoords = (0.02, 0.98, 0.25, 1)
set_view2_d(v)
def test0(datapath):
test_section('Missing data')
open_database(pjoin(datapath, 'earth.nc'))
add_plot('Pseudocolor', 'height')
draw_plots()
set_the_view()
test('missingdata_0_00')
change_active_plots_var('carbon_particulates')
test('missingdata_0_01')
change_active_plots_var('seatemp')
test('missingdata_0_02')
change_active_plots_var('population')
test('missingdata_0_03')
pick_by_node(domain=0, element=833621)
test_text('missingdata_0_04', get_pick_output())
delete_all_plots()
def test1(datapath):
test_section('Expressions and missing data')
open_database(pjoin(datapath, 'earth.nc'))
define_scalar_expression('meaningless', 'carbon_particulates + seatemp')
add_plot('Pseudocolor', 'meaningless')
draw_plots()
set_the_view()
test('missingdata_1_00')
delete_all_plots()
define_vector_expression('color', 'color(red,green,blue)')
add_plot('Truecolor', 'color')
draw_plots()
reset_view()
set_the_view()
test('missingdata_1_01')
define_vector_expression('color2', 'color(population*0.364,green,blue)')
change_active_plots_var('color2')
v1 = get_view2_d()
v1.viewportCoords = (0.02, 0.98, 0.02, 0.98)
v1.windowCoords = (259.439, 513.299, 288.93, 540)
set_view2_d(v1)
test('missingdata_1_02')
def main():
datapath = data_path('netcdf_test_data')
test0(datapath)
test1(datapath)
main()
exit() |
class SerialNumber:
def __init__(self, serialNumber):
if not (len(serialNumber) == 6):
raise ValueError('Serial Number must be 6 digits long')
self._serialNumber = serialNumber
def __str__(self):
return 'S/N: {}'.format(self._serialNumber)
def __repr__(self):
return 'SerialNumber: {}'.format(self._serialNumber)
def getSerialNumber(self):
return self._serialNumber
def containsVowel(self):
VOWELS = ['a', 'e', 'i', 'o', 'u']
for character in self._serialNumber:
if character in VOWELS:
return True
return False
def lastDigitOdd(self):
try:
lastDigitValue = int(self._serialNumber[-1])
except ValueError:
return False
return lastDigitValue % 2 == 1
def lastDigitEven(self):
try:
lastDigitValue = int(self._serialNumber[-1])
except ValueError:
return False
return lastDigitValue % 2 == 0
| class Serialnumber:
def __init__(self, serialNumber):
if not len(serialNumber) == 6:
raise value_error('Serial Number must be 6 digits long')
self._serialNumber = serialNumber
def __str__(self):
return 'S/N: {}'.format(self._serialNumber)
def __repr__(self):
return 'SerialNumber: {}'.format(self._serialNumber)
def get_serial_number(self):
return self._serialNumber
def contains_vowel(self):
vowels = ['a', 'e', 'i', 'o', 'u']
for character in self._serialNumber:
if character in VOWELS:
return True
return False
def last_digit_odd(self):
try:
last_digit_value = int(self._serialNumber[-1])
except ValueError:
return False
return lastDigitValue % 2 == 1
def last_digit_even(self):
try:
last_digit_value = int(self._serialNumber[-1])
except ValueError:
return False
return lastDigitValue % 2 == 0 |
#
# BitBake Graphical GTK User Interface
#
# Copyright (C) 2012 Intel Corporation
#
# Authored by Shane Wang <shane.wang@intel.com>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
#
# This program 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 this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
class HobColors:
WHITE = "#ffffff"
PALE_GREEN = "#aaffaa"
ORANGE = "#eb8e68"
PALE_RED = "#ffaaaa"
GRAY = "#aaaaaa"
LIGHT_GRAY = "#dddddd"
SLIGHT_DARK = "#5f5f5f"
DARK = "#3c3b37"
BLACK = "#000000"
PALE_BLUE = "#53b8ff"
DEEP_RED = "#aa3e3e"
KHAKI = "#fff68f"
OK = WHITE
RUNNING = PALE_GREEN
WARNING = ORANGE
ERROR = PALE_RED
| class Hobcolors:
white = '#ffffff'
pale_green = '#aaffaa'
orange = '#eb8e68'
pale_red = '#ffaaaa'
gray = '#aaaaaa'
light_gray = '#dddddd'
slight_dark = '#5f5f5f'
dark = '#3c3b37'
black = '#000000'
pale_blue = '#53b8ff'
deep_red = '#aa3e3e'
khaki = '#fff68f'
ok = WHITE
running = PALE_GREEN
warning = ORANGE
error = PALE_RED |
'''input
4 8 3
4
5
6
7
8
3 8 2
3
4
7
8
2 9 100
2
3
4
5
6
7
8
9
'''
# -*- coding: utf-8 -*-
# AtCoder Beginner Contest
# Problem B
if __name__ == '__main__':
a, b, k = list(map(int, input().split()))
if (b - a + 1) <= 2 * k:
for i in range(a, b + 1):
print(i)
else:
for j in range(a, a + k):
print(j)
for j in range(b - k + 1, b + 1):
print(j)
| """input
4 8 3
4
5
6
7
8
3 8 2
3
4
7
8
2 9 100
2
3
4
5
6
7
8
9
"""
if __name__ == '__main__':
(a, b, k) = list(map(int, input().split()))
if b - a + 1 <= 2 * k:
for i in range(a, b + 1):
print(i)
else:
for j in range(a, a + k):
print(j)
for j in range(b - k + 1, b + 1):
print(j) |
class Authenticator(object):
def authenticate(self, credentials):
raise NotImplementedError()
| class Authenticator(object):
def authenticate(self, credentials):
raise not_implemented_error() |
class Node():
def __init__(self, id: int, value = None, right: 'Node' = None, left: 'Node' = None):
self.id = id
self.value = value
self.right = right
self.left = left
self.parent: 'Node' = None
def add(self, node: 'Node'):
if not node:
raise ValueError('node value invalid')
if node.id == self.id:
raise ValueError('The id sent is alredy on the tree')
if node.id > self.id:
if not self.right:
node.parent = self
self.right = node
else:
self.right.add(node)
if node.id < self.id:
if not self.left:
node.parent = self
self.left = node
else:
self.left.add(node)
def get_size(self):
size_l = self.left.get_size() if self.left else 0
size_r = self.right.get_size() if self.right else 0
return 1 + size_l + size_r
def get_height(self):
h_l = self.left.get_height() if self.left else 0
h_r = self.right.get_height() if self.right else 0
if h_r > h_l:
return 1 + h_r
return 1 + h_l
def get_node(self, id: int):
if self.id == id:
return self
if id > self.id:
if self.right:
return self.right.get_node(id)
if id < self.id:
if self.left:
return self.left.get_node(id)
return None
def get_min_node(self):
if not self.left:
return self
return self.left.get_min_node()
def get_max_node(self):
if not self.right:
return self
return self.right.get_max_node()
def get_sorted_list(self, max_size: int=None, ascending: bool=True):
if max_size == None:
return self.__get_list(ascending)
return self.__get_list_by_size(max_size, ascending)
def __get_list(self, ascending: bool):
list_e = self.left.__get_list(ascending) if self.left else []
list_d = self.right.__get_list(ascending) if self.right else []
if ascending:
return list_e + [self.id] + list_d
return list_d + [self.id] + list_e
def __get_list_by_size(self, max_size: int, ascending: bool):
if ascending:
st = 'left'
fi = 'right'
else:
st = 'right'
fi = 'left'
list_st = self[st].__get_list_by_size(max_size=max_size, ascending=ascending) if self[st] else []
if max_size <= len(list_st):
return list_st
elif max_size <= len(list_st) + 1:
return list_st + [self.id]
else:
curr_size = len(list_st) + 1
list_fi = self[fi].__get_list_by_size(max_size=max_size-curr_size, ascending=ascending) if self[fi] else []
return list_st + [self.id] + list_fi
def __getitem__(self, name):
return getattr(self, name)
def __setitem__(self, name, value):
return setattr(self, name, value)
def __str__(self):
str_e = self.left.__str__() if self.left else None
str_d = self.right.__str__() if self.right else None
if not (str_e or str_d):
return f'[({self.id})]'
return f'[({self.id}) {str_e}, {str_d}]'
| class Node:
def __init__(self, id: int, value=None, right: 'Node'=None, left: 'Node'=None):
self.id = id
self.value = value
self.right = right
self.left = left
self.parent: 'Node' = None
def add(self, node: 'Node'):
if not node:
raise value_error('node value invalid')
if node.id == self.id:
raise value_error('The id sent is alredy on the tree')
if node.id > self.id:
if not self.right:
node.parent = self
self.right = node
else:
self.right.add(node)
if node.id < self.id:
if not self.left:
node.parent = self
self.left = node
else:
self.left.add(node)
def get_size(self):
size_l = self.left.get_size() if self.left else 0
size_r = self.right.get_size() if self.right else 0
return 1 + size_l + size_r
def get_height(self):
h_l = self.left.get_height() if self.left else 0
h_r = self.right.get_height() if self.right else 0
if h_r > h_l:
return 1 + h_r
return 1 + h_l
def get_node(self, id: int):
if self.id == id:
return self
if id > self.id:
if self.right:
return self.right.get_node(id)
if id < self.id:
if self.left:
return self.left.get_node(id)
return None
def get_min_node(self):
if not self.left:
return self
return self.left.get_min_node()
def get_max_node(self):
if not self.right:
return self
return self.right.get_max_node()
def get_sorted_list(self, max_size: int=None, ascending: bool=True):
if max_size == None:
return self.__get_list(ascending)
return self.__get_list_by_size(max_size, ascending)
def __get_list(self, ascending: bool):
list_e = self.left.__get_list(ascending) if self.left else []
list_d = self.right.__get_list(ascending) if self.right else []
if ascending:
return list_e + [self.id] + list_d
return list_d + [self.id] + list_e
def __get_list_by_size(self, max_size: int, ascending: bool):
if ascending:
st = 'left'
fi = 'right'
else:
st = 'right'
fi = 'left'
list_st = self[st].__get_list_by_size(max_size=max_size, ascending=ascending) if self[st] else []
if max_size <= len(list_st):
return list_st
elif max_size <= len(list_st) + 1:
return list_st + [self.id]
else:
curr_size = len(list_st) + 1
list_fi = self[fi].__get_list_by_size(max_size=max_size - curr_size, ascending=ascending) if self[fi] else []
return list_st + [self.id] + list_fi
def __getitem__(self, name):
return getattr(self, name)
def __setitem__(self, name, value):
return setattr(self, name, value)
def __str__(self):
str_e = self.left.__str__() if self.left else None
str_d = self.right.__str__() if self.right else None
if not (str_e or str_d):
return f'[({self.id})]'
return f'[({self.id}) {str_e}, {str_d}]' |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.