content
stringlengths 7
1.05M
| fixed_cases
stringlengths 1
1.28M
|
|---|---|
NOTES = {
'notes': [
{'date': '2014-05-22T00:00:00Z', 'note': 'Second Note'},
{'date': '2014-05-21T14:02:45Z', 'note': 'First Note'}
]
}
SUBJECT = {
"subject": ['HB1-3840', 'H']
}
OWNER = {
"owner": "Owner"
}
EDITORIAL = {
"editor_group": "editorgroup",
"editor": "associate"
}
SEAL = {
"doaj_seal": True,
}
| notes = {'notes': [{'date': '2014-05-22T00:00:00Z', 'note': 'Second Note'}, {'date': '2014-05-21T14:02:45Z', 'note': 'First Note'}]}
subject = {'subject': ['HB1-3840', 'H']}
owner = {'owner': 'Owner'}
editorial = {'editor_group': 'editorgroup', 'editor': 'associate'}
seal = {'doaj_seal': True} |
def fatorial(n):
f = 1
while n != 0:
f *= n
n -= 1
return f
def dobro(n):
n *= 2
return n
def triplo(n):
n *= 3
return n
| def fatorial(n):
f = 1
while n != 0:
f *= n
n -= 1
return f
def dobro(n):
n *= 2
return n
def triplo(n):
n *= 3
return n |
#!/usr/bin/python3
# If F(a) is any function that can be defined as composition of bitwise XORs, ANDs and left shifts
# Then the dynac system x_(n+1) = F(x_n) is Turing complete
# Proof by simulation (rule110)
a = 1
while a:
print(bin(a))
a = a ^ (a << 1) ^ (a & (a << 1)) ^ (a & (a << 1) & (a << 2))
| a = 1
while a:
print(bin(a))
a = a ^ a << 1 ^ a & a << 1 ^ a & a << 1 & a << 2 |
load("//tools/bzl:maven_jar.bzl", "maven_jar")
def external_plugin_deps(omit_commons_codec = True):
JACKSON_VERS = "2.10.2"
maven_jar(
name = "scribejava-core",
artifact = "com.github.scribejava:scribejava-core:6.9.0",
sha1 = "ed761f450d8382f75787e8fee9ae52e7ec768747",
)
maven_jar(
name = "jackson-annotations",
artifact = "com.fasterxml.jackson.core:jackson-annotations:" + JACKSON_VERS,
sha1 = "3a13b6105946541b8d4181a0506355b5fae63260",
)
maven_jar(
name = "jackson-databind",
artifact = "com.fasterxml.jackson.core:jackson-databind:" + JACKSON_VERS,
sha1 = "0528de95f198afafbcfb0c09d2e43b6e0ea663ec",
deps = [
"@jackson-annotations//jar",
],
)
if not omit_commons_codec:
maven_jar(
name = "commons-codec",
artifact = "commons-codec:commons-codec:1.4",
sha1 = "4216af16d38465bbab0f3dff8efa14204f7a399a",
)
| load('//tools/bzl:maven_jar.bzl', 'maven_jar')
def external_plugin_deps(omit_commons_codec=True):
jackson_vers = '2.10.2'
maven_jar(name='scribejava-core', artifact='com.github.scribejava:scribejava-core:6.9.0', sha1='ed761f450d8382f75787e8fee9ae52e7ec768747')
maven_jar(name='jackson-annotations', artifact='com.fasterxml.jackson.core:jackson-annotations:' + JACKSON_VERS, sha1='3a13b6105946541b8d4181a0506355b5fae63260')
maven_jar(name='jackson-databind', artifact='com.fasterxml.jackson.core:jackson-databind:' + JACKSON_VERS, sha1='0528de95f198afafbcfb0c09d2e43b6e0ea663ec', deps=['@jackson-annotations//jar'])
if not omit_commons_codec:
maven_jar(name='commons-codec', artifact='commons-codec:commons-codec:1.4', sha1='4216af16d38465bbab0f3dff8efa14204f7a399a') |
def load(h):
return ({'abbr': 0, 'code': 0, 'title': 'There is no appended list'},
{'abbr': 1,
'code': 1,
'title': 'Numbers define number of points corresponding to full coordinate '
'circles (i.e. parallels), coordinate values on each circle are '
'multiple of the circle mesh, and extreme coordinate values given '
'in grid definition (i.e. extreme longitudes) may not be reached in '
'all rows'},
{'abbr': 2,
'code': 2,
'title': 'Numbers define number of points corresponding to coordinate lines '
'delimited by extreme coordinate values given in grid definition '
'(i.e. extreme longitudes) which are present in each row'},
{'abbr': 3,
'code': 3,
'title': 'Numbers define the actual latitudes for each row in the grid. The '
'list of numbers are integer values of the valid latitudes in '
'microdegrees (scaled by 10-6) or in unit equal to the ratio of the '
'basic angle and the subdivisions number for each row, in the same '
'order as specified in the scanning mode flag',
'units': 'bit no. 2'},
{'abbr': None, 'code': 255, 'title': 'Missing'})
| def load(h):
return ({'abbr': 0, 'code': 0, 'title': 'There is no appended list'}, {'abbr': 1, 'code': 1, 'title': 'Numbers define number of points corresponding to full coordinate circles (i.e. parallels), coordinate values on each circle are multiple of the circle mesh, and extreme coordinate values given in grid definition (i.e. extreme longitudes) may not be reached in all rows'}, {'abbr': 2, 'code': 2, 'title': 'Numbers define number of points corresponding to coordinate lines delimited by extreme coordinate values given in grid definition (i.e. extreme longitudes) which are present in each row'}, {'abbr': 3, 'code': 3, 'title': 'Numbers define the actual latitudes for each row in the grid. The list of numbers are integer values of the valid latitudes in microdegrees (scaled by 10-6) or in unit equal to the ratio of the basic angle and the subdivisions number for each row, in the same order as specified in the scanning mode flag', 'units': 'bit no. 2'}, {'abbr': None, 'code': 255, 'title': 'Missing'}) |
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode:
seen = set()
curr = headA
while curr:
seen.add(curr)
curr = curr.next
curr = headB
while curr:
if curr in seen:
return curr
curr = curr.next
return None
| class Listnode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def get_intersection_node(self, headA: ListNode, headB: ListNode) -> ListNode:
seen = set()
curr = headA
while curr:
seen.add(curr)
curr = curr.next
curr = headB
while curr:
if curr in seen:
return curr
curr = curr.next
return None |
# Copyright 2020 Plezentek, 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.
load(
"//sqlc/private:providers.bzl",
"SQLCRelease",
)
load(
"//sqlc/private/rules_go/lib:platforms.bzl",
"PLATFORMS",
)
def _sqlc_toolchain_impl(ctx):
release = ctx.attr.release[SQLCRelease]
cross_compile = ctx.attr.goos != release.goos or ctx.attr.goarch != release.goarch
return [platform_common.ToolchainInfo(
name = ctx.label.name,
cross_compile = cross_compile,
default_goos = ctx.attr.goos,
default_goarch = ctx.attr.goarch,
actions = struct(),
flags = struct(),
release = release,
)]
sqlc_toolchain = rule(
_sqlc_toolchain_impl,
attrs = {
"goos": attr.string(
mandatory = True,
doc = "Default target OS",
),
"goarch": attr.string(
mandatory = True,
doc = "Default target architecture",
),
"release": attr.label(
mandatory = True,
providers = [SQLCRelease],
cfg = "exec",
doc = "The SQLC release this toolchain is based on",
),
},
doc = "Defines a SQLC toolchain based on a release",
provides = [platform_common.ToolchainInfo],
)
def declare_toolchains(host, release):
host_goos, _, host_goarch = host.partition("_")
for p in PLATFORMS:
toolchain_name = "sqlc_" + p.name
impl_name = toolchain_name + "-impl"
cgo_constraints = (
"@com_plezentek_rules_sqlc//sqlc/toolchain:cgo_off",
"@com_plezentek_rules_sqlc//sqlc/toolchain:cgo_on",
)
constraints = [c for c in p.constraints if c not in cgo_constraints]
sqlc_toolchain(
name = impl_name,
goos = p.goos,
goarch = p.goarch,
release = release,
tags = ["manual"],
visibility = ["//visibility:public"],
)
native.toolchain(
name = toolchain_name,
toolchain_type = "@com_plezentek_rules_sqlc//sqlc:toolchain",
exec_compatible_with = [
"@com_plezentek_rules_sqlc//sqlc/toolchain:" + host_goos,
"@com_plezentek_rules_sqlc//sqlc/toolchain:" + host_goarch,
],
target_compatible_with = constraints,
toolchain = ":" + impl_name,
)
| load('//sqlc/private:providers.bzl', 'SQLCRelease')
load('//sqlc/private/rules_go/lib:platforms.bzl', 'PLATFORMS')
def _sqlc_toolchain_impl(ctx):
release = ctx.attr.release[SQLCRelease]
cross_compile = ctx.attr.goos != release.goos or ctx.attr.goarch != release.goarch
return [platform_common.ToolchainInfo(name=ctx.label.name, cross_compile=cross_compile, default_goos=ctx.attr.goos, default_goarch=ctx.attr.goarch, actions=struct(), flags=struct(), release=release)]
sqlc_toolchain = rule(_sqlc_toolchain_impl, attrs={'goos': attr.string(mandatory=True, doc='Default target OS'), 'goarch': attr.string(mandatory=True, doc='Default target architecture'), 'release': attr.label(mandatory=True, providers=[SQLCRelease], cfg='exec', doc='The SQLC release this toolchain is based on')}, doc='Defines a SQLC toolchain based on a release', provides=[platform_common.ToolchainInfo])
def declare_toolchains(host, release):
(host_goos, _, host_goarch) = host.partition('_')
for p in PLATFORMS:
toolchain_name = 'sqlc_' + p.name
impl_name = toolchain_name + '-impl'
cgo_constraints = ('@com_plezentek_rules_sqlc//sqlc/toolchain:cgo_off', '@com_plezentek_rules_sqlc//sqlc/toolchain:cgo_on')
constraints = [c for c in p.constraints if c not in cgo_constraints]
sqlc_toolchain(name=impl_name, goos=p.goos, goarch=p.goarch, release=release, tags=['manual'], visibility=['//visibility:public'])
native.toolchain(name=toolchain_name, toolchain_type='@com_plezentek_rules_sqlc//sqlc:toolchain', exec_compatible_with=['@com_plezentek_rules_sqlc//sqlc/toolchain:' + host_goos, '@com_plezentek_rules_sqlc//sqlc/toolchain:' + host_goarch], target_compatible_with=constraints, toolchain=':' + impl_name) |
root = {
"general" : {
"display_viewer" : False,
#The visible GPUS will be restricted to the numbers listed here. The pytorch (cuda:0) numeration will start at 0
#This is a trick to get everything onto the wanted gpus because just setting cuda:4 in the function calls will
#not work for mmdetection. There will still be things on gpu cuda:0.
"cuda_visible_devices" : "1",
"save_track_results" : True
},
"data" : {
# To increase the speed while developing an specific interval of all frames can be set.
"selection_interval" : [0,10000],
"source" : {
"base_folder" : "/u40/zhanr110/MTA_ext_short/test",
# "base_folder" : "/Users/nolanzhang/Projects/mtmct/data/MTA_ext_short/test",
"cam_ids" : [1]
}
},
"detector" : {
# "mmdetection_config" : "detectors/mmdetection/configs/faster_rcnn_r50_fpn_1x_gta.py",
"mmdetection_config" : "detectors/mmdetection/configs/mta/faster_rcnn_r50_mta.py",
# "mmdetection_checkpoint_file" : "work_dirs/detector/faster_rcnn_gta22.07_epoch_5.pth",
"mmdetection_checkpoint_file" : "detectors/mmdetection/work_dirs/GtaDataset_30e/epoch_20.pth",
"device" : "cuda:0",
#Remove all detections with a confidence less than min_confidence
"min_confidence" : 0.8,
},
"feature_extractor" : {
"feature_extractor_name" : "abd_net_extractor"
,"reid_strong_extractor": {
"reid_strong_baseline_config": "feature_extractors/reid_strong_baseline/configs/softmax_triplet.yml",
"checkpoint_file": "work_dirs/feature_extractor/strong_reid_baseline/resnet50_model_reid_GTA_softmax_triplet.pth",
"device": "cuda:0,1"
,"visible_device" : "0,1"}
,"abd_net_extractor" : dict(abd_dan=['cam', 'pam'], abd_dan_no_head=False, abd_dim=1024, abd_np=2, adam_beta1=0.9,
adam_beta2=0.999, arch='resnet50', branches=['global', 'abd'], compatibility=False, criterion='htri',
cuhk03_classic_split=False, cuhk03_labeled=False, dan_dan=[], dan_dan_no_head=False, dan_dim=1024,
data_augment=['crop,random-erase'], day_only=False, dropout=0.5, eval_freq=5, evaluate=False,
fixbase=False, fixbase_epoch=10, flip_eval=False, gamma=0.1, global_dim=1024,
global_max_pooling=False, gpu_devices='1', height=384, htri_only=False, label_smooth=True,
lambda_htri=0.1, lambda_xent=1, lr=0.0003, margin=1.2, max_epoch=80, min_height=-1,
momentum=0.9, night_only=False, np_dim=1024, np_max_pooling=False, np_np=2, np_with_global=False,
num_instances=4, of_beta=1e-06, of_position=['before', 'after', 'cam', 'pam', 'intermediate'],
of_start_epoch=23, open_layers=['classifier'], optim='adam', ow_beta=0.001,
pool_tracklet_features='avg', print_freq=10, resume='', rmsprop_alpha=0.99
, load_weights='work_dirs/feature_extractor/abd-net/checkpoint_ep30_non_clean.pth.tar'
# , load_weights='work_dirs/feature_extractor/abd-net/resnet50-19c8e357.pth'
, root='work_dirs/datasets'
, sample_method='evenly'
, save_dir='work_dirs/feature_extractor/abd-net/log/eval-resnet50'
, seed=1, seq_len=15,
sgd_dampening=0, sgd_nesterov=False, shallow_cam=True, source_names=['mta_ext'], split_id=0,
start_epoch=0, start_eval=0, stepsize=[20, 40], target_names=['market1501'],
test_batch_size=100, train_batch_size=64, train_sampler='', use_avai_gpus=False, use_cpu=False,
use_metric_cuhk03=False, use_of=True, use_ow=True, visualize_ranks=False, weight_decay=0.0005,
width=128, workers=4)
},
"tracker" : {
"type" : "DeepSort",
"nn_budget" : 100
}
}
| root = {'general': {'display_viewer': False, 'cuda_visible_devices': '1', 'save_track_results': True}, 'data': {'selection_interval': [0, 10000], 'source': {'base_folder': '/u40/zhanr110/MTA_ext_short/test', 'cam_ids': [1]}}, 'detector': {'mmdetection_config': 'detectors/mmdetection/configs/mta/faster_rcnn_r50_mta.py', 'mmdetection_checkpoint_file': 'detectors/mmdetection/work_dirs/GtaDataset_30e/epoch_20.pth', 'device': 'cuda:0', 'min_confidence': 0.8}, 'feature_extractor': {'feature_extractor_name': 'abd_net_extractor', 'reid_strong_extractor': {'reid_strong_baseline_config': 'feature_extractors/reid_strong_baseline/configs/softmax_triplet.yml', 'checkpoint_file': 'work_dirs/feature_extractor/strong_reid_baseline/resnet50_model_reid_GTA_softmax_triplet.pth', 'device': 'cuda:0,1', 'visible_device': '0,1'}, 'abd_net_extractor': dict(abd_dan=['cam', 'pam'], abd_dan_no_head=False, abd_dim=1024, abd_np=2, adam_beta1=0.9, adam_beta2=0.999, arch='resnet50', branches=['global', 'abd'], compatibility=False, criterion='htri', cuhk03_classic_split=False, cuhk03_labeled=False, dan_dan=[], dan_dan_no_head=False, dan_dim=1024, data_augment=['crop,random-erase'], day_only=False, dropout=0.5, eval_freq=5, evaluate=False, fixbase=False, fixbase_epoch=10, flip_eval=False, gamma=0.1, global_dim=1024, global_max_pooling=False, gpu_devices='1', height=384, htri_only=False, label_smooth=True, lambda_htri=0.1, lambda_xent=1, lr=0.0003, margin=1.2, max_epoch=80, min_height=-1, momentum=0.9, night_only=False, np_dim=1024, np_max_pooling=False, np_np=2, np_with_global=False, num_instances=4, of_beta=1e-06, of_position=['before', 'after', 'cam', 'pam', 'intermediate'], of_start_epoch=23, open_layers=['classifier'], optim='adam', ow_beta=0.001, pool_tracklet_features='avg', print_freq=10, resume='', rmsprop_alpha=0.99, load_weights='work_dirs/feature_extractor/abd-net/checkpoint_ep30_non_clean.pth.tar', root='work_dirs/datasets', sample_method='evenly', save_dir='work_dirs/feature_extractor/abd-net/log/eval-resnet50', seed=1, seq_len=15, sgd_dampening=0, sgd_nesterov=False, shallow_cam=True, source_names=['mta_ext'], split_id=0, start_epoch=0, start_eval=0, stepsize=[20, 40], target_names=['market1501'], test_batch_size=100, train_batch_size=64, train_sampler='', use_avai_gpus=False, use_cpu=False, use_metric_cuhk03=False, use_of=True, use_ow=True, visualize_ranks=False, weight_decay=0.0005, width=128, workers=4)}, 'tracker': {'type': 'DeepSort', 'nn_budget': 100}} |
i=input("Enter a string: ")
list = i.split()
list.sort()
for i in list:
print(i,end=' ')
| i = input('Enter a string: ')
list = i.split()
list.sort()
for i in list:
print(i, end=' ') |
def test_one_plus_one_is_two():
assert 1 + 1 == 2 #o assert espera que algo seja verdadeiro, se for falso o teste quebrou
def test_negative_1_plus_1_is_3():
assert 1 + 1 == 3
| def test_one_plus_one_is_two():
assert 1 + 1 == 2
def test_negative_1_plus_1_is_3():
assert 1 + 1 == 3 |
values = []
for i in range(9):
values.append(int(input('')))
max_value = 0
location = 0
for i in range(9):
if values[i] > max_value:
max_value = values[i]
location = i+1
print(max_value)
print(location) | values = []
for i in range(9):
values.append(int(input('')))
max_value = 0
location = 0
for i in range(9):
if values[i] > max_value:
max_value = values[i]
location = i + 1
print(max_value)
print(location) |
# OpenWeatherMap API Key
weather_api_key = "MyOpenWeatherMapAPIKey"
# Google API Key
g_key = "MyGoogleKey" | weather_api_key = 'MyOpenWeatherMapAPIKey'
g_key = 'MyGoogleKey' |
def attack():
pass
def defend():
pass
def pass_turn():
pass
def use_ability_One(kit):
pass
def use_ability_Two(kit):
pass
def end_Of_Battle():
pass | def attack():
pass
def defend():
pass
def pass_turn():
pass
def use_ability__one(kit):
pass
def use_ability__two(kit):
pass
def end__of__battle():
pass |
mail_settings = {
"MAIL_SERVER": 'smtp.gmail.com',
"MAIL_PORT": 465,
"MAIL_USE_TLS": False,
"MAIL_USE_SSL": True,
"MAIL_USERNAME": '[email protected]',
"MAIL_PASSWORD": 'C003.teste'
} | mail_settings = {'MAIL_SERVER': 'smtp.gmail.com', 'MAIL_PORT': 465, 'MAIL_USE_TLS': False, 'MAIL_USE_SSL': True, 'MAIL_USERNAME': '[email protected]', 'MAIL_PASSWORD': 'C003.teste'} |
class Solution:
def maxArea(self, height) -> int:
left=0
right=len(height)-1
res=min(height[left],height[right])*(right-left)
while right>left:
res=max(res,(right-left)*min(height[right],height[left]))
if height[left]<height[right]:
left+=1
else: right-=1
return res
if __name__ == '__main__':
sol=Solution()
# height = [1, 1]
height=[1,3,2,5,25,24,5]
print(sol.maxArea(height))
| class Solution:
def max_area(self, height) -> int:
left = 0
right = len(height) - 1
res = min(height[left], height[right]) * (right - left)
while right > left:
res = max(res, (right - left) * min(height[right], height[left]))
if height[left] < height[right]:
left += 1
else:
right -= 1
return res
if __name__ == '__main__':
sol = solution()
height = [1, 3, 2, 5, 25, 24, 5]
print(sol.maxArea(height)) |
# Copyright (c) 2021, Omid Erfanmanesh, All rights reserved.
class RuntimeMode:
TRAIN = 0
TUNING = 1
CROSS_VAL = 2
FEATURE_IMPORTANCE = 3
| class Runtimemode:
train = 0
tuning = 1
cross_val = 2
feature_importance = 3 |
#
# Example file for HelloWorld
#
def main():
print("Hello World")
name = input("What is your name? ")
print("Nice to meet you,", name)
if __name__ == "__main__":
main()
| def main():
print('Hello World')
name = input('What is your name? ')
print('Nice to meet you,', name)
if __name__ == '__main__':
main() |
class DispatchConfig:
def __init__(self, raw_config):
self.registered_commands = {}
for package in raw_config["handlers"]:
for command in package["commands"]:
self.registered_commands[command] = {
"class": package["class"],
"fullpath": ".".join([package["package"], package["module"], package["class"]])
}
def get_handler_by_command(self, command):
if command in self.registered_commands:
return self.registered_commands[command]
else:
return None
| class Dispatchconfig:
def __init__(self, raw_config):
self.registered_commands = {}
for package in raw_config['handlers']:
for command in package['commands']:
self.registered_commands[command] = {'class': package['class'], 'fullpath': '.'.join([package['package'], package['module'], package['class']])}
def get_handler_by_command(self, command):
if command in self.registered_commands:
return self.registered_commands[command]
else:
return None |
"set operations for multiple sequences"
def intersect(*args):
res = []
for x in args[0]: # scan the first list
for other in args[1:]: # for all other arguments
if x not in other: break # this item in each one?
else:
res.append(x) # add common items to the end
return res
def union(*args):
res = []
for seq in args: # for all sequence-arguments
for x in seq: # for all nodes in argument
if not x in res:
res.append(x) # add new items to result
return res
| """set operations for multiple sequences"""
def intersect(*args):
res = []
for x in args[0]:
for other in args[1:]:
if x not in other:
break
else:
res.append(x)
return res
def union(*args):
res = []
for seq in args:
for x in seq:
if not x in res:
res.append(x)
return res |
msg_dict = {
'resource_not_found':
'The resource you specified was not found',
'invalid_gender':
"The gender you specified is invalid!!",
'many_invalid_fields':
'Some errors occured while validating some fields. Please check and try again',
'unique':
'The {} you inputted already exists',
'user_not_found':
'The user with that username/email and password combination was not found',
'email_not_found':
'A user with email `{}` does not exist',
'user_already_verified':
'The user with that email has already been verified',
'invalid_flight_type':
'Flight type must be either international or local',
'invalid_flight_schedule':
'Flight schedule must be at least 12 hours before it is created',
'resource_id_not_found':
'The {} with that id was not found',
'user_book_flight_twice':
'You had previously booked for this Flight and thus cannot do it again',
'flight_booking_expired':
'You cannot book for a flight less than 24 hours before the flight',
'flight_schedule_expired':
'The schedule of this flight has already passed and thus you cannot book it',
'missing_field':
'You forgot to include this field',
'value_not_a_file':
'The value you inputted is not a file',
'not_an_image':
'The file you uploaded is not a valid image',
'image_too_large':
'Image must not be more than 2MB',
'payment_link_error':
'An error occurred while creating payment link',
'booking_already_paid':
'You have already paid for this flight',
'booking_expired':
'Your booking has expired, thus you cannot pay for this ticket',
'invalid_url':
'The `{}` field must be a valid URL with protocols `http` or `https`',
"invalid_url_field":
'This field must be a valid URL with protocols `http` or `https`',
'paystack_threw_error':
"There was an unexpected error while processing request. "
"Please raise this as an issue in at "
"https://github.com/chidioguejiofor/airtech-api/issues",
'empty_request':
'You did not specify any `{}` data in your request',
'paid_booking_cannot_be_deleted':
'You cannot delete this Booking because you have already paid for it',
'cannot_delete_expired_booking':
'You cannot delete an expired booking',
'cannot_delete_flight_with_bookings':
'You cannot delete this flight because users have started booking it',
'cannot_delete_flight_that_has_flown':
'You cannot delete this flight because the schedule date has been passed',
'cannot_update_flight_field_with_bookings':
'You cannot update the `{}` of this flight because it has already been booked',
'cannot_update_field':
'You cannot update a {} {}',
'regular_user_only':
'This endpoint is for only regular users',
'profile_not_updated':
'You need to update your profile picture before you can do this',
'only_alpha_and_numbers':
'This field can contain only alphabets and numbers'
}
| msg_dict = {'resource_not_found': 'The resource you specified was not found', 'invalid_gender': 'The gender you specified is invalid!!', 'many_invalid_fields': 'Some errors occured while validating some fields. Please check and try again', 'unique': 'The {} you inputted already exists', 'user_not_found': 'The user with that username/email and password combination was not found', 'email_not_found': 'A user with email `{}` does not exist', 'user_already_verified': 'The user with that email has already been verified', 'invalid_flight_type': 'Flight type must be either international or local', 'invalid_flight_schedule': 'Flight schedule must be at least 12 hours before it is created', 'resource_id_not_found': 'The {} with that id was not found', 'user_book_flight_twice': 'You had previously booked for this Flight and thus cannot do it again', 'flight_booking_expired': 'You cannot book for a flight less than 24 hours before the flight', 'flight_schedule_expired': 'The schedule of this flight has already passed and thus you cannot book it', 'missing_field': 'You forgot to include this field', 'value_not_a_file': 'The value you inputted is not a file', 'not_an_image': 'The file you uploaded is not a valid image', 'image_too_large': 'Image must not be more than 2MB', 'payment_link_error': 'An error occurred while creating payment link', 'booking_already_paid': 'You have already paid for this flight', 'booking_expired': 'Your booking has expired, thus you cannot pay for this ticket', 'invalid_url': 'The `{}` field must be a valid URL with protocols `http` or `https`', 'invalid_url_field': 'This field must be a valid URL with protocols `http` or `https`', 'paystack_threw_error': 'There was an unexpected error while processing request. Please raise this as an issue in at https://github.com/chidioguejiofor/airtech-api/issues', 'empty_request': 'You did not specify any `{}` data in your request', 'paid_booking_cannot_be_deleted': 'You cannot delete this Booking because you have already paid for it', 'cannot_delete_expired_booking': 'You cannot delete an expired booking', 'cannot_delete_flight_with_bookings': 'You cannot delete this flight because users have started booking it', 'cannot_delete_flight_that_has_flown': 'You cannot delete this flight because the schedule date has been passed', 'cannot_update_flight_field_with_bookings': 'You cannot update the `{}` of this flight because it has already been booked', 'cannot_update_field': 'You cannot update a {} {}', 'regular_user_only': 'This endpoint is for only regular users', 'profile_not_updated': 'You need to update your profile picture before you can do this', 'only_alpha_and_numbers': 'This field can contain only alphabets and numbers'} |
'''
- Leetcode problem: 23
- Difficulty: Hard
- Brief problem description:
Merge k sorted linked lists and return it as one sorted list. Analyze and describe its complexity.
Example:
Input:
[
1->4->5,
1->3->4,
2->6
]
Output: 1->1->2->3->4->4->5->6
- Solution Summary:
- Used Resources:
--- Bo Zhou
'''
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def mergeKLists(self, lists: List[ListNode]) -> ListNode:
pq = []
for l in lists:
if l:
heapq.heappush(pq, (l.val, id(l), l))
newNode = ListNode()
result = newNode
while pq:
minVal, i, minNode = heapq.heappop(pq)
newNode.next = minNode
nextNode = minNode.next
newNode = minNode
if nextNode:
heapq.heappush(pq, (nextNode.val, id(nextNode), nextNode))
return result.next
| """
- Leetcode problem: 23
- Difficulty: Hard
- Brief problem description:
Merge k sorted linked lists and return it as one sorted list. Analyze and describe its complexity.
Example:
Input:
[
1->4->5,
1->3->4,
2->6
]
Output: 1->1->2->3->4->4->5->6
- Solution Summary:
- Used Resources:
--- Bo Zhou
"""
class Solution:
def merge_k_lists(self, lists: List[ListNode]) -> ListNode:
pq = []
for l in lists:
if l:
heapq.heappush(pq, (l.val, id(l), l))
new_node = list_node()
result = newNode
while pq:
(min_val, i, min_node) = heapq.heappop(pq)
newNode.next = minNode
next_node = minNode.next
new_node = minNode
if nextNode:
heapq.heappush(pq, (nextNode.val, id(nextNode), nextNode))
return result.next |
# Written by Ivan Sapozhkov and Denis Chagin <[email protected]>
#
# Copyright (c) 2016, Emlid Limited
# All rights reserved.
#
# Redistribution and use in source and binary forms,
# with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. 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.
#
# 3. Neither the name of the copyright holder 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 HOLDER 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.
def create_security(proto, key_mgmt, group):
if not proto:
return 'open'
if not key_mgmt:
if "wep" in group:
return 'wep'
else:
return None
else:
if "wpa-psk" in key_mgmt:
if proto == "WPA":
return "wpapsk"
elif proto == "RSN":
return "wpa2psk"
else:
return None
elif "wpa-eap" in key_mgmt:
return 'wpaeap'
else:
return None
def convert_to_wpas_network(network):
return dict(WpasNetworkConverter(network))
def convert_to_wificontrol_network(network, current_network):
wifinetwork = dict(WifiControlNetworkConverter(network))
try:
if wifinetwork['ssid'] == current_network['ssid']:
wifinetwork.update(current_network)
wifinetwork["connected"] = True
except TypeError:
pass
finally:
return wifinetwork
class WpasNetworkConverter(object):
def __init__(self, network_dict):
def rawUtf8(s):
return "{}".format(s.encode('utf-8'))[2:-1]
self.security = network_dict.get('security')
self.name = rawUtf8(network_dict.get('ssid', ''))
self.password = rawUtf8(network_dict.get('password', ''))
self.identity = rawUtf8(network_dict.get('identity', ''))
def __iter__(self):
if (self.security == 'open'):
yield "ssid", "{}".format(self.name)
yield "key_mgmt", "NONE"
elif (self.security == 'wep'):
yield "ssid", "{}".format(self.name)
yield "key_mgmt", "NONE"
yield "group", "WEP104 WEP40"
yield "wep_key0", "{}".format(self.password)
elif (self.security == 'wpapsk'):
yield "ssid", "{}".format(self.name)
yield "key_mgmt", "WPA-PSK"
yield "pairwise", "CCMP TKIP"
yield "group", "CCMP TKIP"
yield "eap", "TTLS PEAP TLS"
yield "psk", "{}".format(self.password)
elif (self.security == 'wpa2psk'):
yield "ssid", "{}".format(self.name)
yield "proto", "RSN"
yield "key_mgmt", "WPA-PSK"
yield "pairwise", "CCMP TKIP"
yield "group", "CCMP TKIP"
yield "eap", "TTLS PEAP TLS"
yield "psk", "{}".format(self.password)
elif (self.security == 'wpaeap'):
yield "ssid", "{}".format(self.name)
yield "key_mgmt", "WPA-EAP"
yield "pairwise", "CCMP TKIP"
yield "group", "CCMP TKIP"
yield "eap", "TTLS PEAP TLS"
yield "identity", "{}".format(self.identity)
yield "password", "{}".format(self.password)
yield "phase1", "peaplable=0"
else:
yield "ssid", "{}".format(self.name)
yield "psk", "{}".format(self.password)
class WifiControlNetworkConverter(object):
def __init__(self, network_dict):
self.name = network_dict.get('ssid')
self.key_mgmt = network_dict.get('key_mgmt')
self.proto = network_dict.get('proto')
self.group = network_dict.get('group')
def __iter__(self):
if (self.key_mgmt == 'NONE'):
if not self.group:
yield "ssid", self.name
yield "security", "Open"
else:
yield "ssid", self.name
yield "security", "WEP"
elif (self.key_mgmt == 'WPA-PSK'):
if not self.proto:
yield "ssid", self.name
yield "security", "WPA-PSK"
else:
yield "ssid", self.name
yield "security", "WPA2-PSK"
elif (self.key_mgmt == 'WPA-EAP'):
yield "ssid", self.name
yield "security", "WPA-EAP"
else:
yield "ssid", self.name
yield "security", "NONE"
yield "connected", False
if __name__ == '__main__':
network = {'ssid': "MySSID", 'password': "NewPassword", 'security': "wpaeap", 'identity': "[email protected]"}
conv = convert_to_wpas_network(network)
reconv = convert_to_wificontrol_network(conv)
print(conv, reconv)
| def create_security(proto, key_mgmt, group):
if not proto:
return 'open'
if not key_mgmt:
if 'wep' in group:
return 'wep'
else:
return None
elif 'wpa-psk' in key_mgmt:
if proto == 'WPA':
return 'wpapsk'
elif proto == 'RSN':
return 'wpa2psk'
else:
return None
elif 'wpa-eap' in key_mgmt:
return 'wpaeap'
else:
return None
def convert_to_wpas_network(network):
return dict(wpas_network_converter(network))
def convert_to_wificontrol_network(network, current_network):
wifinetwork = dict(wifi_control_network_converter(network))
try:
if wifinetwork['ssid'] == current_network['ssid']:
wifinetwork.update(current_network)
wifinetwork['connected'] = True
except TypeError:
pass
finally:
return wifinetwork
class Wpasnetworkconverter(object):
def __init__(self, network_dict):
def raw_utf8(s):
return '{}'.format(s.encode('utf-8'))[2:-1]
self.security = network_dict.get('security')
self.name = raw_utf8(network_dict.get('ssid', ''))
self.password = raw_utf8(network_dict.get('password', ''))
self.identity = raw_utf8(network_dict.get('identity', ''))
def __iter__(self):
if self.security == 'open':
yield ('ssid', '{}'.format(self.name))
yield ('key_mgmt', 'NONE')
elif self.security == 'wep':
yield ('ssid', '{}'.format(self.name))
yield ('key_mgmt', 'NONE')
yield ('group', 'WEP104 WEP40')
yield ('wep_key0', '{}'.format(self.password))
elif self.security == 'wpapsk':
yield ('ssid', '{}'.format(self.name))
yield ('key_mgmt', 'WPA-PSK')
yield ('pairwise', 'CCMP TKIP')
yield ('group', 'CCMP TKIP')
yield ('eap', 'TTLS PEAP TLS')
yield ('psk', '{}'.format(self.password))
elif self.security == 'wpa2psk':
yield ('ssid', '{}'.format(self.name))
yield ('proto', 'RSN')
yield ('key_mgmt', 'WPA-PSK')
yield ('pairwise', 'CCMP TKIP')
yield ('group', 'CCMP TKIP')
yield ('eap', 'TTLS PEAP TLS')
yield ('psk', '{}'.format(self.password))
elif self.security == 'wpaeap':
yield ('ssid', '{}'.format(self.name))
yield ('key_mgmt', 'WPA-EAP')
yield ('pairwise', 'CCMP TKIP')
yield ('group', 'CCMP TKIP')
yield ('eap', 'TTLS PEAP TLS')
yield ('identity', '{}'.format(self.identity))
yield ('password', '{}'.format(self.password))
yield ('phase1', 'peaplable=0')
else:
yield ('ssid', '{}'.format(self.name))
yield ('psk', '{}'.format(self.password))
class Wificontrolnetworkconverter(object):
def __init__(self, network_dict):
self.name = network_dict.get('ssid')
self.key_mgmt = network_dict.get('key_mgmt')
self.proto = network_dict.get('proto')
self.group = network_dict.get('group')
def __iter__(self):
if self.key_mgmt == 'NONE':
if not self.group:
yield ('ssid', self.name)
yield ('security', 'Open')
else:
yield ('ssid', self.name)
yield ('security', 'WEP')
elif self.key_mgmt == 'WPA-PSK':
if not self.proto:
yield ('ssid', self.name)
yield ('security', 'WPA-PSK')
else:
yield ('ssid', self.name)
yield ('security', 'WPA2-PSK')
elif self.key_mgmt == 'WPA-EAP':
yield ('ssid', self.name)
yield ('security', 'WPA-EAP')
else:
yield ('ssid', self.name)
yield ('security', 'NONE')
yield ('connected', False)
if __name__ == '__main__':
network = {'ssid': 'MySSID', 'password': 'NewPassword', 'security': 'wpaeap', 'identity': '[email protected]'}
conv = convert_to_wpas_network(network)
reconv = convert_to_wificontrol_network(conv)
print(conv, reconv) |
# Given a singly linked list, determine if it is a palindrome.
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
fast = slow = head
# find the mid node
while fast and fast.next:
slow = slow.next
fast = fast.next.next
# reverse the second half
node = None
while slow:
nxt = slow.next
slow.next = node
node = slow
slow = nxt
# compare first and second half of nodes
while node:
if node.val != head.val:
return False
node = node.next
head = head.next
return True
| class Listnode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def is_palindrome(self, head: ListNode) -> bool:
fast = slow = head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
node = None
while slow:
nxt = slow.next
slow.next = node
node = slow
slow = nxt
while node:
if node.val != head.val:
return False
node = node.next
head = head.next
return True |
with open("inputday3.txt") as f:
data = [x for x in f.read().split()]
gamma = ""
epsilon = ""
for b in range(0, len(data[0])):
one = 0
zero = 0
for c in range(0, len(data)):
if data[c][b] == '0':
zero += 1
else:
one += 1
if zero > one:
gamma += '0'
epsilon += '1'
else:
gamma += '1'
epsilon += '0'
g = int(gamma, 2)
e = int(epsilon, 2)
print("PART 1", g * e)
gamma = ""
epsilon = ""
data2 = data.copy()
index = 0
while len(data) > 1:
one = 0
zero = 0
ones = []
zeroes = []
for c in range(0, len(data)):
if data[c][index] == "0":
zero += 1
zeroes.append(data[c])
else:
one += 1
ones.append(data[c])
if zero > one:
data = zeroes
else:
data = ones
index += 1
oxygen = int(data[0], 2)
data = data2
index = 0
while len(data) > 1:
one = 0
zero = 0
ones = []
zeroes = []
for c in range(0, len(data)):
if data[c][index] == '0':
zero += 1
zeroes.append(data[c])
else:
one += 1
ones.append(data[c])
if one < zero:
data = ones
else:
data = zeroes
index += 1
co2 = int(data[0], 2)
print("PART 2", oxygen * co2)
| with open('inputday3.txt') as f:
data = [x for x in f.read().split()]
gamma = ''
epsilon = ''
for b in range(0, len(data[0])):
one = 0
zero = 0
for c in range(0, len(data)):
if data[c][b] == '0':
zero += 1
else:
one += 1
if zero > one:
gamma += '0'
epsilon += '1'
else:
gamma += '1'
epsilon += '0'
g = int(gamma, 2)
e = int(epsilon, 2)
print('PART 1', g * e)
gamma = ''
epsilon = ''
data2 = data.copy()
index = 0
while len(data) > 1:
one = 0
zero = 0
ones = []
zeroes = []
for c in range(0, len(data)):
if data[c][index] == '0':
zero += 1
zeroes.append(data[c])
else:
one += 1
ones.append(data[c])
if zero > one:
data = zeroes
else:
data = ones
index += 1
oxygen = int(data[0], 2)
data = data2
index = 0
while len(data) > 1:
one = 0
zero = 0
ones = []
zeroes = []
for c in range(0, len(data)):
if data[c][index] == '0':
zero += 1
zeroes.append(data[c])
else:
one += 1
ones.append(data[c])
if one < zero:
data = ones
else:
data = zeroes
index += 1
co2 = int(data[0], 2)
print('PART 2', oxygen * co2) |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.181181,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.344996,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.977935,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.486054,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.841669,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.482721,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.81044,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.330514,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 7.28395,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.184753,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0176198,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.195265,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.130309,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.380018,
'Execution Unit/Register Files/Runtime Dynamic': 0.147929,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.521478,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.08927,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 3.79801,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
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'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00272158,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00272158,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0023766,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000923356,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00187191,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00969166,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0258763,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.12527,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.372767,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.425473,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 0.959077,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.090727,
'L2/Runtime Dynamic': 0.0127692,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 4.08122,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.38167,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0920133,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0920133,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.51749,
'Load Store Unit/Runtime Dynamic': 1.92746,
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'Load Store Unit/StoreQ/Peak Dynamic': 0.226889,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.453778,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
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'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
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'Memory Management Unit/Peak Dynamic': 0.697703,
'Memory Management Unit/Runtime Dynamic': 0.143311,
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'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
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'Renaming Unit/Free List/Area': 0.0414755,
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'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
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'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.914258,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 7.75489,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.11996,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.29691,
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'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.64733,
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'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.234954,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.378972,
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'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.191292,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.805218,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.169475,
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'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 5.2954,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.122295,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00985502,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.116195,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0728839,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.23849,
'Execution Unit/Register Files/Runtime Dynamic': 0.0827389,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.274787,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.565173,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.15542,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00133282,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00133282,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00118494,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000471861,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00104698,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00489756,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0119197,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0700652,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.45674,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.197355,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.237973,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.89155,
'Instruction Fetch Unit/Runtime Dynamic': 0.522211,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0504299,
'L2/Runtime Dynamic': 0.0069462,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.70196,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.713329,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0473909,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0473909,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.92575,
'Load Store Unit/Runtime Dynamic': 0.994436,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.116858,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.233716,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 19.2571,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
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'Renaming Unit/Peak Dynamic': 3.58947,
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'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 4.20167,
'Subthreshold Leakage': 6.16288,
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'Execution Unit/Area': 7.68434,
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'Execution Unit/Gate Leakage': 0.120359,
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'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00634181,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0043008,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
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'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
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'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0399443,
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'Execution Unit/Runtime Dynamic': 1.18039,
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'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
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'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000456911,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0037065,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0103022,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0305769,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.94496,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0958958,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.103853,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.25787,
'Instruction Fetch Unit/Runtime Dynamic': 0.244335,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0538499,
'L2/Runtime Dynamic': 0.0148173,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.02873,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.40237,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0256105,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0256104,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.14967,
'Load Store Unit/Runtime Dynamic': 0.554282,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.063151,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.126302,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0224125,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0232096,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.12093,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0157552,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.31554,
'Memory Management Unit/Runtime Dynamic': 0.0389648,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 14.4686,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0166828,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.00482915,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0520126,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0735245,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.10632,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.00682822,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.208052,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.0364806,
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'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.171272,
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'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
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'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0864526,
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'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.36391,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
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'Execution Unit/Integer ALUs/Peak Dynamic': 0.115853,
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'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.11398,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
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'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00689197,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00445387,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0347798,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0329391,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0416718,
'Execution Unit/Register Files/Runtime Dynamic': 0.037393,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0749788,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.202833,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.21756,
'Execution Unit/Subthreshold Leakage': 1.79543,
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'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000625326,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000625326,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000550159,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000215984,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000473173,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00227399,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00579905,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0316652,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
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'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.01418,
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'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.107549,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.33045,
'Instruction Fetch Unit/Runtime Dynamic': 0.216233,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0418086,
'L2/Runtime Dynamic': 0.00989266,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.36015,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.554162,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0363327,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0363327,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.53172,
'Load Store Unit/Runtime Dynamic': 0.769675,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0895903,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.17918,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0317959,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0324228,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.125234,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0113054,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.335963,
'Memory Management Unit/Runtime Dynamic': 0.0437282,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 14.9434,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0181291,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0050114,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0551057,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0782462,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.33534,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 3.868411224021876,
'Runtime Dynamic': 3.868411224021876,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.371973,
'Runtime Dynamic': 0.183113,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 75.1614,
'Peak Power': 108.274,
'Runtime Dynamic': 16.5813,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 74.7894,
'Total Cores/Runtime Dynamic': 16.3982,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.371973,
'Total L3s/Runtime Dynamic': 0.183113,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} | power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.181181, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.344996, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.977935, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.486054, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.841669, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.482721, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.81044, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.330514, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 7.28395, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.184753, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0176198, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.195265, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.130309, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.380018, 'Execution Unit/Register Files/Runtime Dynamic': 0.147929, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.521478, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.08927, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 3.79801, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00272158, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00272158, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0023766, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000923356, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00187191, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00969166, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0258763, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.12527, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.372767, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.425473, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 0.959077, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.090727, 'L2/Runtime Dynamic': 0.0127692, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 4.08122, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.38167, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0920133, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0920133, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 4.51749, 'Load Store Unit/Runtime Dynamic': 1.92746, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.226889, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.453778, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0805237, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0817258, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.061585, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.697703, 'Memory Management Unit/Runtime Dynamic': 0.143311, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 26.1203, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.644561, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0326103, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.237087, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.914258, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 7.75489, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.11996, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.29691, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.64733, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.234954, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.378972, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.191292, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.805218, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.169475, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 5.2954, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register 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'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.197355, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.237973, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 6.89155, 'Instruction Fetch Unit/Runtime Dynamic': 0.522211, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0504299, 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'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.0399443, 'Execution Unit/Register Files/Runtime Dynamic': 0.0361079, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0724192, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.179703, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 1.18039, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power 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Dynamic': 0.0256104, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 2.14967, 'Load Store Unit/Runtime Dynamic': 0.554282, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.063151, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.126302, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0224125, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0232096, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.12093, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0157552, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.31554, 'Memory Management Unit/Runtime Dynamic': 0.0389648, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 14.4686, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0166828, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.00482915, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0520126, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.0735245, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 2.10632, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.00682822, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.208052, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.0364806, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.106185, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.171272, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0864526, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.36391, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.115853, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.11398, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.00689197, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00445387, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0347798, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0329391, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.0416718, 'Execution Unit/Register Files/Runtime Dynamic': 0.037393, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0749788, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.202833, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 1.21756, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000625326, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000625326, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000550159, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000215984, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000473173, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00227399, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00579905, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0316652, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.01418, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0689457, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.107549, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 4.33045, 'Instruction Fetch Unit/Runtime Dynamic': 0.216233, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0418086, 'L2/Runtime Dynamic': 0.00989266, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 2.36015, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.554162, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0363327, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0363327, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 2.53172, 'Load Store Unit/Runtime Dynamic': 0.769675, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.0895903, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.17918, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0317959, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0324228, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.125234, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0113054, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.335963, 'Memory Management Unit/Runtime Dynamic': 0.0437282, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 14.9434, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0181291, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0050114, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0551057, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.0782462, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 2.33534, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 3.868411224021876, 'Runtime Dynamic': 3.868411224021876, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.371973, 'Runtime Dynamic': 0.183113, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 75.1614, 'Peak Power': 108.274, 'Runtime Dynamic': 16.5813, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 74.7894, 'Total Cores/Runtime Dynamic': 16.3982, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.371973, 'Total L3s/Runtime Dynamic': 0.183113, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} |
# type: ignore
__all__ = [
"readDatastoreImage",
"datastore",
]
def readDatastoreImage(*args):
raise NotImplementedError("readDatastoreImage")
def datastore(*args):
raise NotImplementedError("datastore")
| __all__ = ['readDatastoreImage', 'datastore']
def read_datastore_image(*args):
raise not_implemented_error('readDatastoreImage')
def datastore(*args):
raise not_implemented_error('datastore') |
# THIS FILE IS GENERATED FROM SCIPY SETUP.PY
short_version = '1.5.4'
version = '1.5.4'
full_version = '1.5.4'
git_revision = '19acfed431060aafaa963f7e530c95e70cd4b85c'
release = True
if not release:
version = full_version
| short_version = '1.5.4'
version = '1.5.4'
full_version = '1.5.4'
git_revision = '19acfed431060aafaa963f7e530c95e70cd4b85c'
release = True
if not release:
version = full_version |
#
# PySNMP MIB module ZYXEL-AclV2-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZYXEL-AclV2-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:43:03 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint")
InetAddress, = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddress")
EnabledStatus, = mibBuilder.importSymbols("P-BRIDGE-MIB", "EnabledStatus")
PortList, = mibBuilder.importSymbols("Q-BRIDGE-MIB", "PortList")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Counter32, Integer32, Counter64, NotificationType, Bits, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, TimeTicks, iso, Gauge32, Unsigned32, IpAddress, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "Integer32", "Counter64", "NotificationType", "Bits", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "TimeTicks", "iso", "Gauge32", "Unsigned32", "IpAddress", "ObjectIdentity")
RowStatus, MacAddress, DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "MacAddress", "DisplayString", "TextualConvention")
esMgmt, = mibBuilder.importSymbols("ZYXEL-ES-SMI", "esMgmt")
zyxelAclV2 = ModuleIdentity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105))
if mibBuilder.loadTexts: zyxelAclV2.setLastUpdated('201207010000Z')
if mibBuilder.loadTexts: zyxelAclV2.setOrganization('Enterprise Solution ZyXEL')
zyxelAclV2ClassifierStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1))
zyxelAclV2PolicyStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2))
zyxelAclV2TrapInfoObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 3))
zyxelAclV2Notifications = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 4))
zyxelAclV2ClassifierTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1), )
if mibBuilder.loadTexts: zyxelAclV2ClassifierTable.setStatus('current')
zyxelAclV2ClassifierEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"))
if mibBuilder.loadTexts: zyxelAclV2ClassifierEntry.setStatus('current')
zyAclV2ClassifierName = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 1), DisplayString())
if mibBuilder.loadTexts: zyAclV2ClassifierName.setStatus('current')
zyAclV2ClassifierState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 2), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierState.setStatus('current')
zyAclV2ClassifierWeight = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierWeight.setStatus('current')
zyAclV2ClassifierCountState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 4), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierCountState.setStatus('current')
zyAclV2ClassifierLogState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 5), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierLogState.setStatus('current')
zyAclV2ClassifierTimeRange = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 6), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierTimeRange.setStatus('current')
zyAclV2ClassifierMatchCount = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 7), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierMatchCount.setStatus('current')
zyxelAclV2ClassifierEthernetTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2), )
if mibBuilder.loadTexts: zyxelAclV2ClassifierEthernetTable.setStatus('current')
zyxelAclV2ClassifierEthernetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"))
if mibBuilder.loadTexts: zyxelAclV2ClassifierEthernetEntry.setStatus('current')
zyAclV2ClassifierEthernetSourcePorts = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 1), PortList()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourcePorts.setStatus('current')
zyAclV2ClassifierEthernetSourceTrunks = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 2), PortList()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourceTrunks.setStatus('current')
zyAclV2ClassifierEthernetPacketFormat = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("all", 1), ("ethernetIIUntagged", 2), ("ethernetIITagged", 3), ("ethernet802dot3Untagged", 4), ("ethernet802dot3Tagged", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetPacketFormat.setStatus('current')
zyAclV2ClassifierEthernet8021pPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernet8021pPriority.setStatus('current')
zyAclV2ClassifierEthernetInner8021pPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetInner8021pPriority.setStatus('current')
zyAclV2ClassifierEthernetType = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetType.setStatus('current')
zyAclV2ClassifierEthernetSourceMacAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 7), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourceMacAddress.setStatus('current')
zyAclV2ClassifierEthernetSourceMACMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 8), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetSourceMACMask.setStatus('current')
zyAclV2ClassifierEthernetDestinationMacAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 9), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetDestinationMacAddress.setStatus('current')
zyAclV2ClassifierEthernetDestinationMACMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 10), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierEthernetDestinationMACMask.setStatus('current')
zyxelAclV2ClassifierVlanTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3), )
if mibBuilder.loadTexts: zyxelAclV2ClassifierVlanTable.setStatus('current')
zyxelAclV2ClassifierVlanEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"))
if mibBuilder.loadTexts: zyxelAclV2ClassifierVlanEntry.setStatus('current')
zyAclV2ClassifierVlanMap1k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap1k.setStatus('current')
zyAclV2ClassifierVlanMap2k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap2k.setStatus('current')
zyAclV2ClassifierVlanMap3k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap3k.setStatus('current')
zyAclV2ClassifierVlanMap4k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierVlanMap4k.setStatus('current')
zyxelAclV2ClassifierInnerVlanTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4), )
if mibBuilder.loadTexts: zyxelAclV2ClassifierInnerVlanTable.setStatus('current')
zyxelAclV2ClassifierInnerVlanEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"))
if mibBuilder.loadTexts: zyxelAclV2ClassifierInnerVlanEntry.setStatus('current')
zyAclV2ClassifierInnerVlanMap1k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap1k.setStatus('current')
zyAclV2ClassifierInnerVlanMap2k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap2k.setStatus('current')
zyAclV2ClassifierInnerVlanMap3k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap3k.setStatus('current')
zyAclV2ClassifierInnerVlanMap4k = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierInnerVlanMap4k.setStatus('current')
zyxelAclV2ClassifierIpTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5), )
if mibBuilder.loadTexts: zyxelAclV2ClassifierIpTable.setStatus('current')
zyxelAclV2ClassifierIpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"))
if mibBuilder.loadTexts: zyxelAclV2ClassifierIpEntry.setStatus('current')
zyAclV2ClassifierIpPacketLenRangeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpPacketLenRangeStart.setStatus('current')
zyAclV2ClassifierIpPacketLenRangeEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpPacketLenRangeEnd.setStatus('current')
zyAclV2ClassifierIpDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpDSCP.setStatus('current')
zyAclV2ClassifierIpPrecedence = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpPrecedence.setStatus('current')
zyAclV2ClassifierIpToS = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpToS.setStatus('current')
zyAclV2ClassifierIpProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpProtocol.setStatus('current')
zyAclV2ClassifierIpEstablishOnly = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 7), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpEstablishOnly.setStatus('current')
zyAclV2ClassifierIpSourceIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 8), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceIpAddress.setStatus('current')
zyAclV2ClassifierIpSourceIpMaskBits = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceIpMaskBits.setStatus('current')
zyAclV2ClassifierIpDestinationIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 10), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationIpAddress.setStatus('current')
zyAclV2ClassifierIpDestinationIpMaskBits = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationIpMaskBits.setStatus('current')
zyAclV2ClassifierIpSourceSocketRangeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 12), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceSocketRangeStart.setStatus('current')
zyAclV2ClassifierIpSourceSocketRangeEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 13), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpSourceSocketRangeEnd.setStatus('current')
zyAclV2ClassifierIpDestinationSocketRangeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 14), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationSocketRangeStart.setStatus('current')
zyAclV2ClassifierIpDestinationSocketRangeEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 15), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIpDestinationSocketRangeEnd.setStatus('current')
zyxelAclV2ClassifierIpv6Table = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6), )
if mibBuilder.loadTexts: zyxelAclV2ClassifierIpv6Table.setStatus('current')
zyxelAclV2ClassifierIpv6Entry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"))
if mibBuilder.loadTexts: zyxelAclV2ClassifierIpv6Entry.setStatus('current')
zyAclV2ClassifierIPv6DSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6DSCP.setStatus('current')
zyAclV2ClassifierIPv6NextHeader = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6NextHeader.setStatus('current')
zyAclV2ClassifierIPv6EstablishOnly = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 3), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6EstablishOnly.setStatus('current')
zyAclV2ClassifierIPv6SourceIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 4), InetAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6SourceIpAddress.setStatus('current')
zyAclV2ClassifierIPv6SourceIpPrefixLength = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6SourceIpPrefixLength.setStatus('current')
zyAclV2ClassifierIPv6DestinationIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 6), InetAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6DestinationIpAddress.setStatus('current')
zyAclV2ClassifierIPv6DestinationIpPrefixLength = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2ClassifierIPv6DestinationIpPrefixLength.setStatus('current')
zyxelAclV2ClassifierMatchOrder = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("auto", 1), ("manual", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyxelAclV2ClassifierMatchOrder.setStatus('current')
zyxelAclV2ClassifierLoggingState = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 8), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyxelAclV2ClassifierLoggingState.setStatus('current')
zyxelAclV2ClassifierLoggingInterval = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyxelAclV2ClassifierLoggingInterval.setStatus('current')
zyxelAclV2PolicyTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1), )
if mibBuilder.loadTexts: zyxelAclV2PolicyTable.setStatus('current')
zyxelAclV2PolicyEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1), ).setIndexNames((0, "ZYXEL-AclV2-MIB", "zyAclV2PolicyName"))
if mibBuilder.loadTexts: zyxelAclV2PolicyEntry.setStatus('current')
zyAclV2PolicyName = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 1), DisplayString())
if mibBuilder.loadTexts: zyAclV2PolicyName.setStatus('current')
zyAclV2PolicyState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 2), EnabledStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyState.setStatus('current')
zyAclV2PolicyClassifier = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 3), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyClassifier.setStatus('current')
zyAclV2PolicyVid = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyVid.setStatus('current')
zyAclV2PolicyEgressPort = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyEgressPort.setStatus('current')
zyAclV2Policy8021pPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2Policy8021pPriority.setStatus('current')
zyAclV2PolicyDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyDSCP.setStatus('current')
zyAclV2PolicyTOS = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyTOS.setStatus('current')
zyAclV2PolicyBandwidth = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyBandwidth.setStatus('current')
zyAclV2PolicyOutOfProfileDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyOutOfProfileDSCP.setStatus('current')
zyAclV2PolicyForwardingAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noChange", 1), ("discardThePacket", 2), ("doNotDropTheMatchingFramePreviouslyMarkedForDropping", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyForwardingAction.setStatus('current')
zyAclV2PolicyPriorityAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("noChange", 1), ("setThePackets802dot1Priority", 2), ("sendThePacketToPriorityQueue", 3), ("replaceThe802dot1PriorityFieldWithTheIpTosValue", 4), ("replaceThe802dot1PriorityByInner802dot1Priority", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyPriorityAction.setStatus('current')
zyAclV2PolicyDiffServAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("noChange", 1), ("setThePacketsTosField", 2), ("replaceTheIpTosFieldWithThe802dot1PriorityValue", 3), ("setTheDiffservCodepointFieldInTheFrame", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyDiffServAction.setStatus('current')
zyAclV2PolicyOutgoingAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 14), Bits().clone(namedValues=NamedValues(("sendThePacketToTheMirrorPort", 0), ("sendThePacketToTheEgressPort", 1), ("sendTheMatchingFramesToTheEgressPort", 2), ("setThePacketVlanId", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyOutgoingAction.setStatus('current')
zyAclV2PolicyMeteringState = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 15), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyMeteringState.setStatus('current')
zyAclV2PolicyOutOfProfileAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 16), Bits().clone(namedValues=NamedValues(("dropThePacket", 0), ("changeTheDscpValue", 1), ("setOutDropPrecedence", 2), ("doNotDropTheMatchingFramePreviouslyMarkedForDropping", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyOutOfProfileAction.setStatus('current')
zyAclV2PolicyRowstatus = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 17), RowStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyRowstatus.setStatus('current')
zyAclV2PolicyQueueAction = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("noChange", 1), ("sendThePacketToPriorityQueue", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyAclV2PolicyQueueAction.setStatus('current')
zyAclV2TrapClassifierLogMatchCount = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 3, 1), Integer32())
if mibBuilder.loadTexts: zyAclV2TrapClassifierLogMatchCount.setStatus('current')
zyAclV2ClassifierLogNotification = NotificationType((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 4, 1)).setObjects(("ZYXEL-AclV2-MIB", "zyAclV2ClassifierName"), ("ZYXEL-AclV2-MIB", "zyAclV2TrapClassifierLogMatchCount"))
if mibBuilder.loadTexts: zyAclV2ClassifierLogNotification.setStatus('current')
mibBuilder.exportSymbols("ZYXEL-AclV2-MIB", zyAclV2ClassifierInnerVlanMap1k=zyAclV2ClassifierInnerVlanMap1k, zyAclV2ClassifierIPv6DSCP=zyAclV2ClassifierIPv6DSCP, zyAclV2ClassifierEthernetInner8021pPriority=zyAclV2ClassifierEthernetInner8021pPriority, zyAclV2ClassifierInnerVlanMap4k=zyAclV2ClassifierInnerVlanMap4k, zyAclV2ClassifierEthernetPacketFormat=zyAclV2ClassifierEthernetPacketFormat, zyAclV2ClassifierVlanMap2k=zyAclV2ClassifierVlanMap2k, zyxelAclV2PolicyStatus=zyxelAclV2PolicyStatus, zyAclV2PolicyClassifier=zyAclV2PolicyClassifier, zyxelAclV2ClassifierInnerVlanTable=zyxelAclV2ClassifierInnerVlanTable, zyAclV2ClassifierIpEstablishOnly=zyAclV2ClassifierIpEstablishOnly, zyAclV2ClassifierEthernetType=zyAclV2ClassifierEthernetType, zyAclV2ClassifierEthernetSourceMacAddress=zyAclV2ClassifierEthernetSourceMacAddress, zyAclV2ClassifierIpSourceIpMaskBits=zyAclV2ClassifierIpSourceIpMaskBits, zyAclV2ClassifierEthernetDestinationMacAddress=zyAclV2ClassifierEthernetDestinationMacAddress, zyAclV2PolicyOutOfProfileDSCP=zyAclV2PolicyOutOfProfileDSCP, zyAclV2ClassifierIpDestinationSocketRangeEnd=zyAclV2ClassifierIpDestinationSocketRangeEnd, zyAclV2PolicyEgressPort=zyAclV2PolicyEgressPort, zyAclV2PolicyRowstatus=zyAclV2PolicyRowstatus, zyAclV2ClassifierEthernetSourceTrunks=zyAclV2ClassifierEthernetSourceTrunks, zyxelAclV2ClassifierInnerVlanEntry=zyxelAclV2ClassifierInnerVlanEntry, zyAclV2ClassifierLogNotification=zyAclV2ClassifierLogNotification, zyAclV2PolicyOutgoingAction=zyAclV2PolicyOutgoingAction, zyAclV2ClassifierIpDestinationIpAddress=zyAclV2ClassifierIpDestinationIpAddress, zyAclV2PolicyMeteringState=zyAclV2PolicyMeteringState, zyAclV2ClassifierInnerVlanMap2k=zyAclV2ClassifierInnerVlanMap2k, zyAclV2ClassifierIpPrecedence=zyAclV2ClassifierIpPrecedence, zyAclV2PolicyVid=zyAclV2PolicyVid, zyxelAclV2ClassifierEntry=zyxelAclV2ClassifierEntry, zyAclV2ClassifierIpDestinationIpMaskBits=zyAclV2ClassifierIpDestinationIpMaskBits, zyxelAclV2Notifications=zyxelAclV2Notifications, zyxelAclV2PolicyTable=zyxelAclV2PolicyTable, zyxelAclV2ClassifierMatchOrder=zyxelAclV2ClassifierMatchOrder, zyAclV2ClassifierIpDSCP=zyAclV2ClassifierIpDSCP, zyAclV2ClassifierWeight=zyAclV2ClassifierWeight, zyAclV2ClassifierMatchCount=zyAclV2ClassifierMatchCount, zyAclV2PolicyPriorityAction=zyAclV2PolicyPriorityAction, zyAclV2TrapClassifierLogMatchCount=zyAclV2TrapClassifierLogMatchCount, zyxelAclV2ClassifierEthernetEntry=zyxelAclV2ClassifierEthernetEntry, zyAclV2ClassifierIpPacketLenRangeStart=zyAclV2ClassifierIpPacketLenRangeStart, zyAclV2ClassifierEthernetSourceMACMask=zyAclV2ClassifierEthernetSourceMACMask, zyAclV2ClassifierEthernetDestinationMACMask=zyAclV2ClassifierEthernetDestinationMACMask, zyAclV2ClassifierVlanMap3k=zyAclV2ClassifierVlanMap3k, zyAclV2ClassifierTimeRange=zyAclV2ClassifierTimeRange, zyxelAclV2ClassifierIpv6Entry=zyxelAclV2ClassifierIpv6Entry, zyAclV2ClassifierIPv6EstablishOnly=zyAclV2ClassifierIPv6EstablishOnly, zyAclV2ClassifierIPv6DestinationIpPrefixLength=zyAclV2ClassifierIPv6DestinationIpPrefixLength, zyxelAclV2ClassifierIpEntry=zyxelAclV2ClassifierIpEntry, zyAclV2ClassifierIpToS=zyAclV2ClassifierIpToS, zyAclV2ClassifierEthernetSourcePorts=zyAclV2ClassifierEthernetSourcePorts, zyAclV2PolicyQueueAction=zyAclV2PolicyQueueAction, zyAclV2ClassifierIPv6NextHeader=zyAclV2ClassifierIPv6NextHeader, zyAclV2ClassifierVlanMap4k=zyAclV2ClassifierVlanMap4k, zyAclV2ClassifierEthernet8021pPriority=zyAclV2ClassifierEthernet8021pPriority, zyxelAclV2TrapInfoObjects=zyxelAclV2TrapInfoObjects, zyxelAclV2ClassifierIpTable=zyxelAclV2ClassifierIpTable, zyAclV2ClassifierIPv6SourceIpAddress=zyAclV2ClassifierIPv6SourceIpAddress, zyxelAclV2ClassifierLoggingState=zyxelAclV2ClassifierLoggingState, zyxelAclV2=zyxelAclV2, zyxelAclV2ClassifierIpv6Table=zyxelAclV2ClassifierIpv6Table, zyAclV2PolicyDiffServAction=zyAclV2PolicyDiffServAction, zyAclV2ClassifierIpDestinationSocketRangeStart=zyAclV2ClassifierIpDestinationSocketRangeStart, zyAclV2ClassifierVlanMap1k=zyAclV2ClassifierVlanMap1k, zyAclV2PolicyDSCP=zyAclV2PolicyDSCP, zyxelAclV2ClassifierEthernetTable=zyxelAclV2ClassifierEthernetTable, zyAclV2ClassifierLogState=zyAclV2ClassifierLogState, zyAclV2ClassifierInnerVlanMap3k=zyAclV2ClassifierInnerVlanMap3k, zyAclV2ClassifierIPv6SourceIpPrefixLength=zyAclV2ClassifierIPv6SourceIpPrefixLength, zyAclV2PolicyBandwidth=zyAclV2PolicyBandwidth, zyxelAclV2ClassifierLoggingInterval=zyxelAclV2ClassifierLoggingInterval, zyAclV2Policy8021pPriority=zyAclV2Policy8021pPriority, zyAclV2PolicyForwardingAction=zyAclV2PolicyForwardingAction, zyAclV2PolicyName=zyAclV2PolicyName, PYSNMP_MODULE_ID=zyxelAclV2, zyAclV2ClassifierName=zyAclV2ClassifierName, zyAclV2ClassifierIPv6DestinationIpAddress=zyAclV2ClassifierIPv6DestinationIpAddress, zyAclV2ClassifierState=zyAclV2ClassifierState, zyxelAclV2ClassifierVlanEntry=zyxelAclV2ClassifierVlanEntry, zyAclV2PolicyState=zyAclV2PolicyState, zyAclV2ClassifierIpSourceIpAddress=zyAclV2ClassifierIpSourceIpAddress, zyxelAclV2ClassifierTable=zyxelAclV2ClassifierTable, zyxelAclV2ClassifierStatus=zyxelAclV2ClassifierStatus, zyAclV2ClassifierIpSourceSocketRangeEnd=zyAclV2ClassifierIpSourceSocketRangeEnd, zyAclV2PolicyTOS=zyAclV2PolicyTOS, zyAclV2ClassifierIpPacketLenRangeEnd=zyAclV2ClassifierIpPacketLenRangeEnd, zyxelAclV2PolicyEntry=zyxelAclV2PolicyEntry, zyAclV2ClassifierIpProtocol=zyAclV2ClassifierIpProtocol, zyxelAclV2ClassifierVlanTable=zyxelAclV2ClassifierVlanTable, zyAclV2PolicyOutOfProfileAction=zyAclV2PolicyOutOfProfileAction, zyAclV2ClassifierIpSourceSocketRangeStart=zyAclV2ClassifierIpSourceSocketRangeStart, zyAclV2ClassifierCountState=zyAclV2ClassifierCountState)
| (object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_size_constraint, constraints_union, single_value_constraint, constraints_intersection, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ConstraintsUnion', 'SingleValueConstraint', 'ConstraintsIntersection', 'ValueRangeConstraint')
(inet_address,) = mibBuilder.importSymbols('INET-ADDRESS-MIB', 'InetAddress')
(enabled_status,) = mibBuilder.importSymbols('P-BRIDGE-MIB', 'EnabledStatus')
(port_list,) = mibBuilder.importSymbols('Q-BRIDGE-MIB', 'PortList')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(counter32, integer32, counter64, notification_type, bits, module_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, mib_identifier, time_ticks, iso, gauge32, unsigned32, ip_address, object_identity) = mibBuilder.importSymbols('SNMPv2-SMI', 'Counter32', 'Integer32', 'Counter64', 'NotificationType', 'Bits', 'ModuleIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'MibIdentifier', 'TimeTicks', 'iso', 'Gauge32', 'Unsigned32', 'IpAddress', 'ObjectIdentity')
(row_status, mac_address, display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'RowStatus', 'MacAddress', 'DisplayString', 'TextualConvention')
(es_mgmt,) = mibBuilder.importSymbols('ZYXEL-ES-SMI', 'esMgmt')
zyxel_acl_v2 = module_identity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105))
if mibBuilder.loadTexts:
zyxelAclV2.setLastUpdated('201207010000Z')
if mibBuilder.loadTexts:
zyxelAclV2.setOrganization('Enterprise Solution ZyXEL')
zyxel_acl_v2_classifier_status = mib_identifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1))
zyxel_acl_v2_policy_status = mib_identifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2))
zyxel_acl_v2_trap_info_objects = mib_identifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 3))
zyxel_acl_v2_notifications = mib_identifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 4))
zyxel_acl_v2_classifier_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierTable.setStatus('current')
zyxel_acl_v2_classifier_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierEntry.setStatus('current')
zy_acl_v2_classifier_name = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 1), display_string())
if mibBuilder.loadTexts:
zyAclV2ClassifierName.setStatus('current')
zy_acl_v2_classifier_state = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 2), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierState.setStatus('current')
zy_acl_v2_classifier_weight = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 3), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierWeight.setStatus('current')
zy_acl_v2_classifier_count_state = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 4), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierCountState.setStatus('current')
zy_acl_v2_classifier_log_state = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 5), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierLogState.setStatus('current')
zy_acl_v2_classifier_time_range = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 6), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierTimeRange.setStatus('current')
zy_acl_v2_classifier_match_count = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 1, 1, 7), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierMatchCount.setStatus('current')
zyxel_acl_v2_classifier_ethernet_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierEthernetTable.setStatus('current')
zyxel_acl_v2_classifier_ethernet_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierEthernetEntry.setStatus('current')
zy_acl_v2_classifier_ethernet_source_ports = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 1), port_list()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetSourcePorts.setStatus('current')
zy_acl_v2_classifier_ethernet_source_trunks = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 2), port_list()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetSourceTrunks.setStatus('current')
zy_acl_v2_classifier_ethernet_packet_format = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('all', 1), ('ethernetIIUntagged', 2), ('ethernetIITagged', 3), ('ethernet802dot3Untagged', 4), ('ethernet802dot3Tagged', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetPacketFormat.setStatus('current')
zy_acl_v2_classifier_ethernet8021p_priority = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernet8021pPriority.setStatus('current')
zy_acl_v2_classifier_ethernet_inner8021p_priority = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetInner8021pPriority.setStatus('current')
zy_acl_v2_classifier_ethernet_type = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 6), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetType.setStatus('current')
zy_acl_v2_classifier_ethernet_source_mac_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 7), mac_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetSourceMacAddress.setStatus('current')
zy_acl_v2_classifier_ethernet_source_mac_mask = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 8), mac_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetSourceMACMask.setStatus('current')
zy_acl_v2_classifier_ethernet_destination_mac_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 9), mac_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetDestinationMacAddress.setStatus('current')
zy_acl_v2_classifier_ethernet_destination_mac_mask = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 2, 1, 10), mac_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierEthernetDestinationMACMask.setStatus('current')
zyxel_acl_v2_classifier_vlan_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierVlanTable.setStatus('current')
zyxel_acl_v2_classifier_vlan_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierVlanEntry.setStatus('current')
zy_acl_v2_classifier_vlan_map1k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 1), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierVlanMap1k.setStatus('current')
zy_acl_v2_classifier_vlan_map2k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 2), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierVlanMap2k.setStatus('current')
zy_acl_v2_classifier_vlan_map3k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 3), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierVlanMap3k.setStatus('current')
zy_acl_v2_classifier_vlan_map4k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 3, 1, 4), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierVlanMap4k.setStatus('current')
zyxel_acl_v2_classifier_inner_vlan_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierInnerVlanTable.setStatus('current')
zyxel_acl_v2_classifier_inner_vlan_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierInnerVlanEntry.setStatus('current')
zy_acl_v2_classifier_inner_vlan_map1k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 1), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierInnerVlanMap1k.setStatus('current')
zy_acl_v2_classifier_inner_vlan_map2k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 2), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierInnerVlanMap2k.setStatus('current')
zy_acl_v2_classifier_inner_vlan_map3k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 3), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierInnerVlanMap3k.setStatus('current')
zy_acl_v2_classifier_inner_vlan_map4k = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 4, 1, 4), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierInnerVlanMap4k.setStatus('current')
zyxel_acl_v2_classifier_ip_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierIpTable.setStatus('current')
zyxel_acl_v2_classifier_ip_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierIpEntry.setStatus('current')
zy_acl_v2_classifier_ip_packet_len_range_start = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpPacketLenRangeStart.setStatus('current')
zy_acl_v2_classifier_ip_packet_len_range_end = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpPacketLenRangeEnd.setStatus('current')
zy_acl_v2_classifier_ip_dscp = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 3), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpDSCP.setStatus('current')
zy_acl_v2_classifier_ip_precedence = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpPrecedence.setStatus('current')
zy_acl_v2_classifier_ip_to_s = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpToS.setStatus('current')
zy_acl_v2_classifier_ip_protocol = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 6), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpProtocol.setStatus('current')
zy_acl_v2_classifier_ip_establish_only = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 7), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpEstablishOnly.setStatus('current')
zy_acl_v2_classifier_ip_source_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 8), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpSourceIpAddress.setStatus('current')
zy_acl_v2_classifier_ip_source_ip_mask_bits = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 9), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpSourceIpMaskBits.setStatus('current')
zy_acl_v2_classifier_ip_destination_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 10), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpDestinationIpAddress.setStatus('current')
zy_acl_v2_classifier_ip_destination_ip_mask_bits = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 11), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpDestinationIpMaskBits.setStatus('current')
zy_acl_v2_classifier_ip_source_socket_range_start = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 12), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpSourceSocketRangeStart.setStatus('current')
zy_acl_v2_classifier_ip_source_socket_range_end = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 13), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpSourceSocketRangeEnd.setStatus('current')
zy_acl_v2_classifier_ip_destination_socket_range_start = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 14), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpDestinationSocketRangeStart.setStatus('current')
zy_acl_v2_classifier_ip_destination_socket_range_end = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 5, 1, 15), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIpDestinationSocketRangeEnd.setStatus('current')
zyxel_acl_v2_classifier_ipv6_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierIpv6Table.setStatus('current')
zyxel_acl_v2_classifier_ipv6_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'))
if mibBuilder.loadTexts:
zyxelAclV2ClassifierIpv6Entry.setStatus('current')
zy_acl_v2_classifier_i_pv6_dscp = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6DSCP.setStatus('current')
zy_acl_v2_classifier_i_pv6_next_header = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6NextHeader.setStatus('current')
zy_acl_v2_classifier_i_pv6_establish_only = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 3), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6EstablishOnly.setStatus('current')
zy_acl_v2_classifier_i_pv6_source_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 4), inet_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6SourceIpAddress.setStatus('current')
zy_acl_v2_classifier_i_pv6_source_ip_prefix_length = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6SourceIpPrefixLength.setStatus('current')
zy_acl_v2_classifier_i_pv6_destination_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 6), inet_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6DestinationIpAddress.setStatus('current')
zy_acl_v2_classifier_i_pv6_destination_ip_prefix_length = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 6, 1, 7), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2ClassifierIPv6DestinationIpPrefixLength.setStatus('current')
zyxel_acl_v2_classifier_match_order = mib_scalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('auto', 1), ('manual', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyxelAclV2ClassifierMatchOrder.setStatus('current')
zyxel_acl_v2_classifier_logging_state = mib_scalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 8), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyxelAclV2ClassifierLoggingState.setStatus('current')
zyxel_acl_v2_classifier_logging_interval = mib_scalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 1, 9), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyxelAclV2ClassifierLoggingInterval.setStatus('current')
zyxel_acl_v2_policy_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1))
if mibBuilder.loadTexts:
zyxelAclV2PolicyTable.setStatus('current')
zyxel_acl_v2_policy_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1)).setIndexNames((0, 'ZYXEL-AclV2-MIB', 'zyAclV2PolicyName'))
if mibBuilder.loadTexts:
zyxelAclV2PolicyEntry.setStatus('current')
zy_acl_v2_policy_name = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 1), display_string())
if mibBuilder.loadTexts:
zyAclV2PolicyName.setStatus('current')
zy_acl_v2_policy_state = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 2), enabled_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyState.setStatus('current')
zy_acl_v2_policy_classifier = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 3), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyClassifier.setStatus('current')
zy_acl_v2_policy_vid = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyVid.setStatus('current')
zy_acl_v2_policy_egress_port = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyEgressPort.setStatus('current')
zy_acl_v2_policy8021p_priority = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 6), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2Policy8021pPriority.setStatus('current')
zy_acl_v2_policy_dscp = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 7), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyDSCP.setStatus('current')
zy_acl_v2_policy_tos = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 8), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyTOS.setStatus('current')
zy_acl_v2_policy_bandwidth = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 9), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyBandwidth.setStatus('current')
zy_acl_v2_policy_out_of_profile_dscp = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 10), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyOutOfProfileDSCP.setStatus('current')
zy_acl_v2_policy_forwarding_action = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('noChange', 1), ('discardThePacket', 2), ('doNotDropTheMatchingFramePreviouslyMarkedForDropping', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyForwardingAction.setStatus('current')
zy_acl_v2_policy_priority_action = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('noChange', 1), ('setThePackets802dot1Priority', 2), ('sendThePacketToPriorityQueue', 3), ('replaceThe802dot1PriorityFieldWithTheIpTosValue', 4), ('replaceThe802dot1PriorityByInner802dot1Priority', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyPriorityAction.setStatus('current')
zy_acl_v2_policy_diff_serv_action = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 13), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('noChange', 1), ('setThePacketsTosField', 2), ('replaceTheIpTosFieldWithThe802dot1PriorityValue', 3), ('setTheDiffservCodepointFieldInTheFrame', 4)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyDiffServAction.setStatus('current')
zy_acl_v2_policy_outgoing_action = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 14), bits().clone(namedValues=named_values(('sendThePacketToTheMirrorPort', 0), ('sendThePacketToTheEgressPort', 1), ('sendTheMatchingFramesToTheEgressPort', 2), ('setThePacketVlanId', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyOutgoingAction.setStatus('current')
zy_acl_v2_policy_metering_state = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 15), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyMeteringState.setStatus('current')
zy_acl_v2_policy_out_of_profile_action = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 16), bits().clone(namedValues=named_values(('dropThePacket', 0), ('changeTheDscpValue', 1), ('setOutDropPrecedence', 2), ('doNotDropTheMatchingFramePreviouslyMarkedForDropping', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyOutOfProfileAction.setStatus('current')
zy_acl_v2_policy_rowstatus = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 17), row_status()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyRowstatus.setStatus('current')
zy_acl_v2_policy_queue_action = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 2, 1, 1, 18), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('noChange', 1), ('sendThePacketToPriorityQueue', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
zyAclV2PolicyQueueAction.setStatus('current')
zy_acl_v2_trap_classifier_log_match_count = mib_scalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 3, 1), integer32())
if mibBuilder.loadTexts:
zyAclV2TrapClassifierLogMatchCount.setStatus('current')
zy_acl_v2_classifier_log_notification = notification_type((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 105, 4, 1)).setObjects(('ZYXEL-AclV2-MIB', 'zyAclV2ClassifierName'), ('ZYXEL-AclV2-MIB', 'zyAclV2TrapClassifierLogMatchCount'))
if mibBuilder.loadTexts:
zyAclV2ClassifierLogNotification.setStatus('current')
mibBuilder.exportSymbols('ZYXEL-AclV2-MIB', zyAclV2ClassifierInnerVlanMap1k=zyAclV2ClassifierInnerVlanMap1k, zyAclV2ClassifierIPv6DSCP=zyAclV2ClassifierIPv6DSCP, zyAclV2ClassifierEthernetInner8021pPriority=zyAclV2ClassifierEthernetInner8021pPriority, zyAclV2ClassifierInnerVlanMap4k=zyAclV2ClassifierInnerVlanMap4k, zyAclV2ClassifierEthernetPacketFormat=zyAclV2ClassifierEthernetPacketFormat, zyAclV2ClassifierVlanMap2k=zyAclV2ClassifierVlanMap2k, zyxelAclV2PolicyStatus=zyxelAclV2PolicyStatus, zyAclV2PolicyClassifier=zyAclV2PolicyClassifier, zyxelAclV2ClassifierInnerVlanTable=zyxelAclV2ClassifierInnerVlanTable, zyAclV2ClassifierIpEstablishOnly=zyAclV2ClassifierIpEstablishOnly, zyAclV2ClassifierEthernetType=zyAclV2ClassifierEthernetType, zyAclV2ClassifierEthernetSourceMacAddress=zyAclV2ClassifierEthernetSourceMacAddress, zyAclV2ClassifierIpSourceIpMaskBits=zyAclV2ClassifierIpSourceIpMaskBits, zyAclV2ClassifierEthernetDestinationMacAddress=zyAclV2ClassifierEthernetDestinationMacAddress, zyAclV2PolicyOutOfProfileDSCP=zyAclV2PolicyOutOfProfileDSCP, zyAclV2ClassifierIpDestinationSocketRangeEnd=zyAclV2ClassifierIpDestinationSocketRangeEnd, zyAclV2PolicyEgressPort=zyAclV2PolicyEgressPort, zyAclV2PolicyRowstatus=zyAclV2PolicyRowstatus, zyAclV2ClassifierEthernetSourceTrunks=zyAclV2ClassifierEthernetSourceTrunks, zyxelAclV2ClassifierInnerVlanEntry=zyxelAclV2ClassifierInnerVlanEntry, zyAclV2ClassifierLogNotification=zyAclV2ClassifierLogNotification, zyAclV2PolicyOutgoingAction=zyAclV2PolicyOutgoingAction, zyAclV2ClassifierIpDestinationIpAddress=zyAclV2ClassifierIpDestinationIpAddress, zyAclV2PolicyMeteringState=zyAclV2PolicyMeteringState, zyAclV2ClassifierInnerVlanMap2k=zyAclV2ClassifierInnerVlanMap2k, zyAclV2ClassifierIpPrecedence=zyAclV2ClassifierIpPrecedence, zyAclV2PolicyVid=zyAclV2PolicyVid, zyxelAclV2ClassifierEntry=zyxelAclV2ClassifierEntry, zyAclV2ClassifierIpDestinationIpMaskBits=zyAclV2ClassifierIpDestinationIpMaskBits, zyxelAclV2Notifications=zyxelAclV2Notifications, zyxelAclV2PolicyTable=zyxelAclV2PolicyTable, zyxelAclV2ClassifierMatchOrder=zyxelAclV2ClassifierMatchOrder, zyAclV2ClassifierIpDSCP=zyAclV2ClassifierIpDSCP, zyAclV2ClassifierWeight=zyAclV2ClassifierWeight, zyAclV2ClassifierMatchCount=zyAclV2ClassifierMatchCount, zyAclV2PolicyPriorityAction=zyAclV2PolicyPriorityAction, zyAclV2TrapClassifierLogMatchCount=zyAclV2TrapClassifierLogMatchCount, zyxelAclV2ClassifierEthernetEntry=zyxelAclV2ClassifierEthernetEntry, zyAclV2ClassifierIpPacketLenRangeStart=zyAclV2ClassifierIpPacketLenRangeStart, zyAclV2ClassifierEthernetSourceMACMask=zyAclV2ClassifierEthernetSourceMACMask, zyAclV2ClassifierEthernetDestinationMACMask=zyAclV2ClassifierEthernetDestinationMACMask, zyAclV2ClassifierVlanMap3k=zyAclV2ClassifierVlanMap3k, zyAclV2ClassifierTimeRange=zyAclV2ClassifierTimeRange, zyxelAclV2ClassifierIpv6Entry=zyxelAclV2ClassifierIpv6Entry, zyAclV2ClassifierIPv6EstablishOnly=zyAclV2ClassifierIPv6EstablishOnly, zyAclV2ClassifierIPv6DestinationIpPrefixLength=zyAclV2ClassifierIPv6DestinationIpPrefixLength, zyxelAclV2ClassifierIpEntry=zyxelAclV2ClassifierIpEntry, zyAclV2ClassifierIpToS=zyAclV2ClassifierIpToS, zyAclV2ClassifierEthernetSourcePorts=zyAclV2ClassifierEthernetSourcePorts, zyAclV2PolicyQueueAction=zyAclV2PolicyQueueAction, zyAclV2ClassifierIPv6NextHeader=zyAclV2ClassifierIPv6NextHeader, zyAclV2ClassifierVlanMap4k=zyAclV2ClassifierVlanMap4k, zyAclV2ClassifierEthernet8021pPriority=zyAclV2ClassifierEthernet8021pPriority, zyxelAclV2TrapInfoObjects=zyxelAclV2TrapInfoObjects, zyxelAclV2ClassifierIpTable=zyxelAclV2ClassifierIpTable, zyAclV2ClassifierIPv6SourceIpAddress=zyAclV2ClassifierIPv6SourceIpAddress, zyxelAclV2ClassifierLoggingState=zyxelAclV2ClassifierLoggingState, zyxelAclV2=zyxelAclV2, zyxelAclV2ClassifierIpv6Table=zyxelAclV2ClassifierIpv6Table, zyAclV2PolicyDiffServAction=zyAclV2PolicyDiffServAction, zyAclV2ClassifierIpDestinationSocketRangeStart=zyAclV2ClassifierIpDestinationSocketRangeStart, zyAclV2ClassifierVlanMap1k=zyAclV2ClassifierVlanMap1k, zyAclV2PolicyDSCP=zyAclV2PolicyDSCP, zyxelAclV2ClassifierEthernetTable=zyxelAclV2ClassifierEthernetTable, zyAclV2ClassifierLogState=zyAclV2ClassifierLogState, zyAclV2ClassifierInnerVlanMap3k=zyAclV2ClassifierInnerVlanMap3k, zyAclV2ClassifierIPv6SourceIpPrefixLength=zyAclV2ClassifierIPv6SourceIpPrefixLength, zyAclV2PolicyBandwidth=zyAclV2PolicyBandwidth, zyxelAclV2ClassifierLoggingInterval=zyxelAclV2ClassifierLoggingInterval, zyAclV2Policy8021pPriority=zyAclV2Policy8021pPriority, zyAclV2PolicyForwardingAction=zyAclV2PolicyForwardingAction, zyAclV2PolicyName=zyAclV2PolicyName, PYSNMP_MODULE_ID=zyxelAclV2, zyAclV2ClassifierName=zyAclV2ClassifierName, zyAclV2ClassifierIPv6DestinationIpAddress=zyAclV2ClassifierIPv6DestinationIpAddress, zyAclV2ClassifierState=zyAclV2ClassifierState, zyxelAclV2ClassifierVlanEntry=zyxelAclV2ClassifierVlanEntry, zyAclV2PolicyState=zyAclV2PolicyState, zyAclV2ClassifierIpSourceIpAddress=zyAclV2ClassifierIpSourceIpAddress, zyxelAclV2ClassifierTable=zyxelAclV2ClassifierTable, zyxelAclV2ClassifierStatus=zyxelAclV2ClassifierStatus, zyAclV2ClassifierIpSourceSocketRangeEnd=zyAclV2ClassifierIpSourceSocketRangeEnd, zyAclV2PolicyTOS=zyAclV2PolicyTOS, zyAclV2ClassifierIpPacketLenRangeEnd=zyAclV2ClassifierIpPacketLenRangeEnd, zyxelAclV2PolicyEntry=zyxelAclV2PolicyEntry, zyAclV2ClassifierIpProtocol=zyAclV2ClassifierIpProtocol, zyxelAclV2ClassifierVlanTable=zyxelAclV2ClassifierVlanTable, zyAclV2PolicyOutOfProfileAction=zyAclV2PolicyOutOfProfileAction, zyAclV2ClassifierIpSourceSocketRangeStart=zyAclV2ClassifierIpSourceSocketRangeStart, zyAclV2ClassifierCountState=zyAclV2ClassifierCountState) |
class Temperature:
def __init__(self, kelvin=None, celsius=None, fahrenheit=None):
values = [x for x in [kelvin, celsius, fahrenheit] if x]
if len(values) < 1:
raise ValueError('Need argument')
if len(values) > 1:
raise ValueError('Only one argument')
if celsius is not None:
self.kelvin = celsius + 273.15
elif fahrenheit is not None:
self.kelvin = (fahrenheit - 32) * 5 / 9 + 273.15
else:
self.kelvin = kelvin
if self.kelvin < 0:
raise ValueError('Temperature in Kelvin cannot be negative')
def __str__(self):
return f'Temperature = {self.kelvin} Kelvins'
| class Temperature:
def __init__(self, kelvin=None, celsius=None, fahrenheit=None):
values = [x for x in [kelvin, celsius, fahrenheit] if x]
if len(values) < 1:
raise value_error('Need argument')
if len(values) > 1:
raise value_error('Only one argument')
if celsius is not None:
self.kelvin = celsius + 273.15
elif fahrenheit is not None:
self.kelvin = (fahrenheit - 32) * 5 / 9 + 273.15
else:
self.kelvin = kelvin
if self.kelvin < 0:
raise value_error('Temperature in Kelvin cannot be negative')
def __str__(self):
return f'Temperature = {self.kelvin} Kelvins' |
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
M = float('inf')
# dynamic programming
dp = [0] + [M] * amount
for i in range(1, amount+1):
dp[i] = 1 + min([dp[i-c] for c in coins if i >= c] or [M])
return dp[-1] if dp[-1] < M else -1
| class Solution:
def coin_change(self, coins: List[int], amount: int) -> int:
m = float('inf')
dp = [0] + [M] * amount
for i in range(1, amount + 1):
dp[i] = 1 + min([dp[i - c] for c in coins if i >= c] or [M])
return dp[-1] if dp[-1] < M else -1 |
def removeLoop(head):
ptr = head
ptr2 = head
while True :
if ptr is None or ptr2 is None or ptr2.next is None :
return
ptr = ptr.next
ptr2 = ptr2.next.next
if ptr is ptr2 :
loopNode = ptr
break
ptr = loopNode.next
count = 1
while ptr is not loopNode :
ptr = ptr.next
count += 1
ptr = head
ptr1 = head
ptr2 = head.next
while count > 1 :
ptr2 = ptr2.next
ptr1 = ptr1.next
count -= 1
while ptr is not ptr2 :
ptr = ptr.next
ptr2 = ptr2.next
ptr1 = ptr1.next
ptr1.next = None
| def remove_loop(head):
ptr = head
ptr2 = head
while True:
if ptr is None or ptr2 is None or ptr2.next is None:
return
ptr = ptr.next
ptr2 = ptr2.next.next
if ptr is ptr2:
loop_node = ptr
break
ptr = loopNode.next
count = 1
while ptr is not loopNode:
ptr = ptr.next
count += 1
ptr = head
ptr1 = head
ptr2 = head.next
while count > 1:
ptr2 = ptr2.next
ptr1 = ptr1.next
count -= 1
while ptr is not ptr2:
ptr = ptr.next
ptr2 = ptr2.next
ptr1 = ptr1.next
ptr1.next = None |
students = []
def read_file():
try:
f = open("students.txt", "r")
for student in read_students(f):
students.append(student)
f.close()
except Exception:
print("Could not read file")
def read_students(f):
for line in f:
yield line
read_file()
print(students) | students = []
def read_file():
try:
f = open('students.txt', 'r')
for student in read_students(f):
students.append(student)
f.close()
except Exception:
print('Could not read file')
def read_students(f):
for line in f:
yield line
read_file()
print(students) |
def extended_euclidean_algorithm(a, b):
# Initial s = 1
s = 1
list_s = []
list_t = []
# Algorithm
while b > 0:
# Find the remainder of a, b
r = a % b
if r > 0:
# The t expression
t = (r - (a * s)) // b
list_t.append(t)
list_s.append(s)
# Use b to be the new a
a = b
if r > 0:
# Use the remainder to be the new b
b = r
else:
break
# Find the coefficients s and t
for i in range(len(list_t)):
if i+1 < len(list_t):
# Find the coefficient t
t = list_t[0] + (list_t[(len(list_t)-1)] * s)
# Find the coefficient s
s = list_s[i] + list_t[i] * list_t[i+1]
return t
| def extended_euclidean_algorithm(a, b):
s = 1
list_s = []
list_t = []
while b > 0:
r = a % b
if r > 0:
t = (r - a * s) // b
list_t.append(t)
list_s.append(s)
a = b
if r > 0:
b = r
else:
break
for i in range(len(list_t)):
if i + 1 < len(list_t):
t = list_t[0] + list_t[len(list_t) - 1] * s
s = list_s[i] + list_t[i] * list_t[i + 1]
return t |
WIDTH = 20
HEIGHT = 14
TITLE = 'Click Ninja'
BACKGROUND = 'board'
def destroy(s):
sound('swoosh')
if s.name == 'taco':
score(50)
else:
score(5)
# draw a splatting image at the center position of the image
image('redsplat', center=s.event_pos, size=2).fade(1.0)
s.fade(0.25)
def failure(s):
score(-20)
if s.name == 'bomb':
s.destroy()
image('explode', center=s.center, size=10).pulse(0.05)
if s.name == 'bomb' or score() < 0:
sound('scream')
text('You Survived %s seconds' % time(), MAROON)
callback(gameover, 0.01)
def spawn():
speed = randint(2, 10)
size = randint(1,4)
target = choice(['bananas', 'cherries',
'olives', 'ham', 'hotdog',
'fries','icee', 'pizza'])
if randint(1, 4) == 2:
target = 'bomb'
if randint(1, 10) == 5:
target = 'taco'
sound('launch')
arc = rand_arc()
s = image(target, arc[0], size=size)
if target == 'bomb':
s.speed(speed).spin(1).clicked(failure)
s.move_to(arc[1], arc[2], callback = s.destroy)
elif target == 'taco':
s.speed(5).spin().clicked(destroy)
s.move_to((-10, -2), (-5, HEIGHT/2), (WIDTH+1, HEIGHT/2), callback = s.destroy)
else:
s.speed(speed).clicked(destroy)
s.move_to(arc[1], arc[2], callback = lambda: failure(s))
callback(spawn, rand(0.1, 3))
score(color = PURPLE)
callback(spawn, 1)
keydown('r', reset)
| width = 20
height = 14
title = 'Click Ninja'
background = 'board'
def destroy(s):
sound('swoosh')
if s.name == 'taco':
score(50)
else:
score(5)
image('redsplat', center=s.event_pos, size=2).fade(1.0)
s.fade(0.25)
def failure(s):
score(-20)
if s.name == 'bomb':
s.destroy()
image('explode', center=s.center, size=10).pulse(0.05)
if s.name == 'bomb' or score() < 0:
sound('scream')
text('You Survived %s seconds' % time(), MAROON)
callback(gameover, 0.01)
def spawn():
speed = randint(2, 10)
size = randint(1, 4)
target = choice(['bananas', 'cherries', 'olives', 'ham', 'hotdog', 'fries', 'icee', 'pizza'])
if randint(1, 4) == 2:
target = 'bomb'
if randint(1, 10) == 5:
target = 'taco'
sound('launch')
arc = rand_arc()
s = image(target, arc[0], size=size)
if target == 'bomb':
s.speed(speed).spin(1).clicked(failure)
s.move_to(arc[1], arc[2], callback=s.destroy)
elif target == 'taco':
s.speed(5).spin().clicked(destroy)
s.move_to((-10, -2), (-5, HEIGHT / 2), (WIDTH + 1, HEIGHT / 2), callback=s.destroy)
else:
s.speed(speed).clicked(destroy)
s.move_to(arc[1], arc[2], callback=lambda : failure(s))
callback(spawn, rand(0.1, 3))
score(color=PURPLE)
callback(spawn, 1)
keydown('r', reset) |
DEPTH = 3
# Action
class Action:
top = [1, 0, 0, 0]
bottom = [0, 1, 0, 0]
left = [0, 0, 1, 0]
right = [0, 0, 0, 1]
actlist = [(-1, 0), (1, 0), (0, -1), (0, 1)]
mapAct = {
actlist[0]: top,
actlist[1]: bottom,
actlist[2]: left,
actlist[3]: right
}
def go(state, action, board_height, board_width):
if action == (-1, 0):
return ((state[0]+board_height-1) % board_height, state[1])
elif action == (1, 0):
return ((state[0]+1) % board_height, state[1])
elif action == (0, 1):
return (state[0], (state[1]+1) % board_width)
elif action == (0, -1):
return (state[0], (state[1]+board_width-1) % board_width)
class GameState:
obs = {}
is_end = False
def __init__(self, observation):
self.obs = {
1: observation[1].copy(),
2: observation[2].copy(),
3: observation[3].copy(),
4: observation[4].copy(),
5: observation[5].copy(),
6: observation[6].copy(),
7: observation[7].copy(),
'board_width': observation['board_width'],
'board_height': observation['board_height'],
}
def generateSuccessor(self, index, action):
successor = GameState(self.obs)
index += 2
head = tuple(successor.obs[index][0])
tar = list(Action.go(head, action, self.obs['board_height'], self.obs['board_width']))
for i in range(1, 8):
for cor in successor.obs[i]:
if cor == tar:
successor.is_end = True
if i == 1:
successor.obs[index].append(successor.obs[index][-1])
else:
successor.obs[index].clear()
successor.obs[index].insert(0, tar)
successor.obs[index].pop()
return successor
def evaluationFunction(self):
ans = 0
for i in range(2, 8):
if i < 5:
ans += len(self.obs[i])
else:
ans -= len(self.obs[i])
return ans
class MinimaxAgent:
def __init__(self, obs):
self.obs = obs
def value(self, gameState, index, depth, a, b):
index %= 6
if index == 0:
return self.maxValue(gameState, index, depth + 1, a, b)[0]
elif index < 3:
return self.maxValue(gameState, index, depth, a, b)[0]
else:
return self.minValue(gameState, index, depth, a, b)[0]
def maxValue(self, gameState, index, depth, a, b):
if gameState.is_end or depth >= DEPTH:
return [gameState.evaluationFunction(), None]
v = -10000
ac = Action.actlist[0]
for action in Action.actlist:
next = gameState.generateSuccessor(index, action)
value = self.value(next, index+1, depth, a, b)
if value > v:
v = value
ac = action
if v >= b:
return [v, ac]
a = max(a, v)
return [v, ac]
def minValue(self, gameState, index, depth, a, b):
if gameState.is_end:
return [gameState.evaluationFunction(), None]
v = 10000
ac = Action.actlist[0]
for action in Action.actlist:
next = gameState.generateSuccessor(index, action)
value = self.value(next, index+1, depth, a, b)
if value < v:
v = value
ac = action
if v <= a:
return [v, ac]
b = min(b, v)
return [v, ac]
def get_action(self, index):
return self.maxValue(GameState(self.obs), index-2, 0, -10000, 10000)[1]
def my_controller(observation, action_space, is_act_continuous=False):
ac = Action.mapAct[MinimaxAgent(observation).get_action(observation['controlled_snake_index'])]
return [ac] | depth = 3
class Action:
top = [1, 0, 0, 0]
bottom = [0, 1, 0, 0]
left = [0, 0, 1, 0]
right = [0, 0, 0, 1]
actlist = [(-1, 0), (1, 0), (0, -1), (0, 1)]
map_act = {actlist[0]: top, actlist[1]: bottom, actlist[2]: left, actlist[3]: right}
def go(state, action, board_height, board_width):
if action == (-1, 0):
return ((state[0] + board_height - 1) % board_height, state[1])
elif action == (1, 0):
return ((state[0] + 1) % board_height, state[1])
elif action == (0, 1):
return (state[0], (state[1] + 1) % board_width)
elif action == (0, -1):
return (state[0], (state[1] + board_width - 1) % board_width)
class Gamestate:
obs = {}
is_end = False
def __init__(self, observation):
self.obs = {1: observation[1].copy(), 2: observation[2].copy(), 3: observation[3].copy(), 4: observation[4].copy(), 5: observation[5].copy(), 6: observation[6].copy(), 7: observation[7].copy(), 'board_width': observation['board_width'], 'board_height': observation['board_height']}
def generate_successor(self, index, action):
successor = game_state(self.obs)
index += 2
head = tuple(successor.obs[index][0])
tar = list(Action.go(head, action, self.obs['board_height'], self.obs['board_width']))
for i in range(1, 8):
for cor in successor.obs[i]:
if cor == tar:
successor.is_end = True
if i == 1:
successor.obs[index].append(successor.obs[index][-1])
else:
successor.obs[index].clear()
successor.obs[index].insert(0, tar)
successor.obs[index].pop()
return successor
def evaluation_function(self):
ans = 0
for i in range(2, 8):
if i < 5:
ans += len(self.obs[i])
else:
ans -= len(self.obs[i])
return ans
class Minimaxagent:
def __init__(self, obs):
self.obs = obs
def value(self, gameState, index, depth, a, b):
index %= 6
if index == 0:
return self.maxValue(gameState, index, depth + 1, a, b)[0]
elif index < 3:
return self.maxValue(gameState, index, depth, a, b)[0]
else:
return self.minValue(gameState, index, depth, a, b)[0]
def max_value(self, gameState, index, depth, a, b):
if gameState.is_end or depth >= DEPTH:
return [gameState.evaluationFunction(), None]
v = -10000
ac = Action.actlist[0]
for action in Action.actlist:
next = gameState.generateSuccessor(index, action)
value = self.value(next, index + 1, depth, a, b)
if value > v:
v = value
ac = action
if v >= b:
return [v, ac]
a = max(a, v)
return [v, ac]
def min_value(self, gameState, index, depth, a, b):
if gameState.is_end:
return [gameState.evaluationFunction(), None]
v = 10000
ac = Action.actlist[0]
for action in Action.actlist:
next = gameState.generateSuccessor(index, action)
value = self.value(next, index + 1, depth, a, b)
if value < v:
v = value
ac = action
if v <= a:
return [v, ac]
b = min(b, v)
return [v, ac]
def get_action(self, index):
return self.maxValue(game_state(self.obs), index - 2, 0, -10000, 10000)[1]
def my_controller(observation, action_space, is_act_continuous=False):
ac = Action.mapAct[minimax_agent(observation).get_action(observation['controlled_snake_index'])]
return [ac] |
def read_csv(root, file_name, keys):
with open('{root}private_static/csv/{file_name}.csv'.format(root=root, file_name=file_name)) as file:
data = file.read()
lines = data.split("\n")
return [dict(zip(keys, line.split(','))) for i, line in enumerate(lines) if i != 0]
| def read_csv(root, file_name, keys):
with open('{root}private_static/csv/{file_name}.csv'.format(root=root, file_name=file_name)) as file:
data = file.read()
lines = data.split('\n')
return [dict(zip(keys, line.split(','))) for (i, line) in enumerate(lines) if i != 0] |
# -*- coding: utf-8 -*-
'''
Copyright 2012 Rodrigo Pinheiro Matias <[email protected]>
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.
'''
templates = {
'static_link': '''
\t@$(AR) rcs %(lib)s %(obj)s
\t@echo " [\033[33m\033[1mAR\033[0m] - \033[37m\033[1m%(obj)s\033[0m to \033[37m\033[1m%(lib)s\033[0m"''',
'c_obj_ruler': '''%(obj)s: %(source)s
\t@$(CC) $(CFLAGS) $(INCLUDE) -c %(source)s -o %(obj)s 1>> compile.log 2>> compile.err
\t@echo " [\033[33m\033[1mCC\033[0m] - \033[37m\033[1m%(source)s\033[0m"''',
'asm_obj_ruler': '''%(obj)s: %(source)s
\t@$(AS) $(ASFLAGS) -o %(obj)s %(source)s 1>> compile.log 2>> compile.err
\t@echo " [\033[33m\033[1mAS\033[0m] - \033[37m\033[1m%(source)s\033[0m"''',
'c_asm_ruler': '''%(obj)s: %(source)s
\t@$(CC) $(CFLAGS) $(INCLUDE) -c %(source)s -S -o %(obj)s 1>> compile.log 2>> compile.err
\t@echo " [\033[33m\033[1mCC\033[0m] - \033[37m\033[1m%(source)s\033[0m"''',
'cxx_obj_ruler': '''%(obj)s: %(source)s
\t@$(CXX) $(CXXFLAGS) $(INCLUDE) -c %(source)s -o %(obj)s 1>> compile.log 2>> compile.err
\t@echo " [\033[33m\033[1mCXX\033[0m] - \033[37m\033[1m%(source)s\033[0m"''',
'cxx_asm_ruler': '''%(obj)s: %(source)s
\t@$(CXX) $(CXXFLAGS) $(INCLUDE) -c %(source)s -S -o %(obj)s 1>> compile.log 2>> compile.err
\t@echo " [\033[33m\033[1mCXX\033[0m] - \033[37m\033[1m%(source)s\033[0m"''',
'avr-main.cc': '''/**
* Generated with sketch %(version)s
**/
#include <avr/sleep.h>
int main(void) {
for(;;)
sleep_mode();
return 0;
}''',
'main.cc': '''/**
* Generated with sketch %(version)s
**/
#include <Arduino.h>
/**
* Setup of the firmware
**/
void setup() {
}
/**
* Schedule events for firmware program
**/
void loop() {
delay(250);
}''',
'Makefile': '''##########################################
# Makefile generated with sketch %(version)s
##########################################
# Defines of Arduino
ARDUINO_HOME=%(sdk_home)s
ARDUINO_CORE=$(ARDUINO_HOME)/hardware/arduino/cores
ARDUINO_VARIANT=$(ARDUINO_HOME)/hardware/arduino/variants/%(variant)s
# Define toolchain
CC=%(cc)s
CXX=%(cxx)s
AS=%(asm)s
LD=%(ld)s
AR=%(ar)s
OBJCOPY=%(objcopy)s
SIZE=%(size)s
AVRDUDE=%(avrdude)s
PROGRAMER=%(programer)s
LIB=
INCLUDE=-I$(ARDUINO_CORE)/arduino -I$(ARDUINO_VARIANT) -I$(ARDUINO_CORE) -I lib/
#Define of MCU
MCU=%(mcu)s
CLOCK=%(clock_hz)sUL
ARDUINO=%(sdk_version)s
# Define compiler flags
_CFLAGS=-Os -Wall -fno-exceptions -ffunction-sections -fdata-sections -mmcu=$(MCU) \\
-DF_CPU=$(CLOCK) -MMD -DARDUINO=$(ARDUINO) \\
-fpermissive -lm -Wl,-u,vfprintf -lprintf_min
CFLAGS=$(_CFLAGS) -std=c99
CXXFLAGS=$(_CFLAGS) -std=c++98
ASFLAGS=-mmcu $(MCU)
# Define compiler rulers
OBJ=%(obj_dep)s
CORE_OBJ=%(core_obj_dep)s
AOUT=binary/%(project_name)s-%(mcu)s.elf
HEX=binary/%(project_name)s-%(mcu)s.hex
EPP=binary/%(project_name)s-%(mcu)s.epp
CORE_LIB=binary/core.a
LIB_DEPS=%(lib_deps)s
LD_FLAGS=-Os -Wl,--gc-sections -mmcu=$(MCU) -lm
AVRDUDE_OPTIONS = -p$(MCU) -c$(PROGRAMER) %(pgrextra)s -Uflash:w:$(HEX):i
SIZE_OPTS=-C --mcu=$(MCU)
CONFIG_EXISTS=$(shell [ -e "Makefile.config" ] && echo 1 || echo 0)
ifeq ($(CONFIG_EXISTS), 1)
include Makefile.config
endif
all: $(HEX) $(EPP)
rebuild: clean all
deploy: $(HEX)
\t$(AVRDUDE) $(AVRDUDE_OPTIONS)
$(HEX): $(EPP)
\t@echo " [\033[33m\033[1mOBJCOPY\033[0m] - \033[37m\033[1mFirmware\033[0m"
\t@$(OBJCOPY) -O ihex -R .eeprom $(AOUT) $(HEX)
$(EPP): $(AOUT)
\t@echo " [\033[33m\033[1mOBJCOPY\033[0m] - \033[37m\033[1mMemory of EEPROM\033[0m"
\t@$(OBJCOPY) -O ihex -j .eeprom --set-section-flags=.eeprom=alloc,load --no-change-warnings --change-section-lma .eeprom=0 $(AOUT) $(EPP)
size: $(AOUT)
\t@$(SIZE) $(SIZE_OPTS) $(AOUT)
$(AOUT): clear-compiler $(OBJ) $(CORE_LIB) $(LIB_DEPS)
\t@echo " [\033[33m\033[1mLD\033[0m] - \033[37m\033[1m$(AOUT)\033[0m"
\t@$(CXX) $(LD_FLAGS) $(LIB) $(OBJ) $(CORE_LIB) $(LIB_DEPS) -o $(AOUT)
$(CORE_LIB): $(CORE_OBJ)%(core_ruler)s
%(asm_rulers)s
%(obj_rulers)s
%(libs_rulers)s
%(core_asm_rulers)s
%(core_obj_rulers)s
clear-compiler:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear compiler logs"
\trm -f compile.*
clean-tmp:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear temporary files"
\t@rm -f tmp/*
clean-bin:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear binary files"
\t@rm -f binary/*
clean:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear temporary files"
\t@rm -f tmp/*
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear binary files"
\t@rm -f binary/*
''',
'avr-Makefile': '''##########################################
# Makefile generated with sketch %(version)s
##########################################
# Define toolchain
CC=%(cc)s
CXX=%(cxx)s
AS=%(asm)s
LD=%(ld)s
AR=%(ar)s
OBJCOPY=%(objcopy)s
SIZE=%(size)s
AVRDUDE=%(avrdude)s
PROGRAMER=%(programer)s
LIB=
INCLUDE=-I lib/
#Define of MCU
MCU=%(mcu)s
CLOCK=%(clock_hz)sUL
# Define compiler flags
_CFLAGS=-Os -Wall -fno-exceptions -ffunction-sections -fdata-sections -mmcu=$(MCU) \\
-DF_CPU=$(CLOCK) -fpermissive -lm -Wl,-u,vfprintf -lprintf_min
CFLAGS=$(_CFLAGS) -std=c99
CXXFLAGS=$(_CFLAGS) -std=c++98
ASFLAGS=-mmcu $(MCU)
# Define compiler rulers
ASM=%(asm_dep)s
OBJ=%(obj_dep)s
LIB_DEPS=%(lib_deps)s
AOUT=binary/%(project_name)s-%(mcu)s.elf
HEX=binary/%(project_name)s-%(mcu)s.hex
EPP=binary/%(project_name)s-%(mcu)s.epp
LD_FLAGS=-Os -Wl,--gc-sections -mmcu=$(MCU) -lm
AVRDUDE_OPTIONS = -p$(MCU) -c$(PROGRAMER) %(pgrextra)s -Uflash:w:$(HEX):i
SIZE_OPTS=-A
CONFIG_EXISTS=$(shell [ -e "Makefile.config" ] && echo 1 || echo 0)
ifeq ($(CONFIG_EXISTS), 1)
include Makefile.config
endif
all: $(HEX) $(EPP)
rebuild: clean all
deploy: $(HEX)
\t$(AVRDUDE) $(AVRDUDE_OPTIONS)
$(HEX): $(EPP)
\t@echo " [\033[33m\033[1mOBJCOPY\033[0m] - \033[37m\033[1mFirmware\033[0m"
\t@$(OBJCOPY) -O ihex -R .eeprom $(AOUT) $(HEX)
$(EPP): $(AOUT)
\t@echo " [\033[33m\033[1mOBJCOPY\033[0m] - \033[37m\033[1mMemory of EEPROM\033[0m"
\t@$(OBJCOPY) -O ihex -j .eeprom --set-section-flags=.eeprom=alloc,load --no-change-warnings --change-section-lma .eeprom=0 $(AOUT) $(EPP)
size: $(AOUT)
\t@$(SIZE) $(SIZE_OPTS) $(AOUT)
$(AOUT): clear-compiler $(OBJ) $(LIB_DEPS)
\t@echo " [\033[33m\033[1mLD\033[0m] - \033[37m\033[1m$(AOUT)\033[0m"
\t@$(CXX) $(LD_FLAGS) $(LIB) $(OBJ) $(LIB_DEPS) -o $(AOUT)
%(asm_rulers)s
%(obj_rulers)s
%(libs_rulers)s
clear-compiler:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear compiler logs"
\t@rm -f compile.*
clean-tmp:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear temporary files"
\t@rm -f tmp/*
clean-bin:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear binary files"
\t@rm -f binary/*
clean:
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear temporary files"
\t@rm -f tmp/*
\t@echo " [\033[33m\033[1mRM\033[0m] - Clear binary files"
\t@rm -f binary/*
'''
}
| """
Copyright 2012 Rodrigo Pinheiro Matias <[email protected]>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
templates = {'static_link': '\n\t@$(AR) rcs %(lib)s %(obj)s\n\t@echo " [\x1b[33m\x1b[1mAR\x1b[0m] - \x1b[37m\x1b[1m%(obj)s\x1b[0m to \x1b[37m\x1b[1m%(lib)s\x1b[0m"', 'c_obj_ruler': '%(obj)s: %(source)s\n\t@$(CC) $(CFLAGS) $(INCLUDE) -c %(source)s -o %(obj)s 1>> compile.log 2>> compile.err\n\t@echo " [\x1b[33m\x1b[1mCC\x1b[0m] - \x1b[37m\x1b[1m%(source)s\x1b[0m"', 'asm_obj_ruler': '%(obj)s: %(source)s\n\t@$(AS) $(ASFLAGS) -o %(obj)s %(source)s 1>> compile.log 2>> compile.err\n\t@echo " [\x1b[33m\x1b[1mAS\x1b[0m] - \x1b[37m\x1b[1m%(source)s\x1b[0m"', 'c_asm_ruler': '%(obj)s: %(source)s\n\t@$(CC) $(CFLAGS) $(INCLUDE) -c %(source)s -S -o %(obj)s 1>> compile.log 2>> compile.err\n\t@echo " [\x1b[33m\x1b[1mCC\x1b[0m] - \x1b[37m\x1b[1m%(source)s\x1b[0m"', 'cxx_obj_ruler': '%(obj)s: %(source)s\n\t@$(CXX) $(CXXFLAGS) $(INCLUDE) -c %(source)s -o %(obj)s 1>> compile.log 2>> compile.err\n\t@echo " [\x1b[33m\x1b[1mCXX\x1b[0m] - \x1b[37m\x1b[1m%(source)s\x1b[0m"', 'cxx_asm_ruler': '%(obj)s: %(source)s\n\t@$(CXX) $(CXXFLAGS) $(INCLUDE) -c %(source)s -S -o %(obj)s 1>> compile.log 2>> compile.err\n\t@echo " [\x1b[33m\x1b[1mCXX\x1b[0m] - \x1b[37m\x1b[1m%(source)s\x1b[0m"', 'avr-main.cc': '/**\n * Generated with sketch %(version)s\n **/\n#include <avr/sleep.h>\n\nint main(void) {\n for(;;)\n sleep_mode();\n\n return 0;\n}', 'main.cc': '/**\n * Generated with sketch %(version)s\n **/\n#include <Arduino.h>\n\n/**\n * Setup of the firmware\n **/\nvoid setup() {\n}\n\n/**\n * Schedule events for firmware program\n **/\nvoid loop() {\n delay(250);\n}', 'Makefile': '##########################################\n# Makefile generated with sketch %(version)s\n##########################################\n\n# Defines of Arduino\nARDUINO_HOME=%(sdk_home)s\nARDUINO_CORE=$(ARDUINO_HOME)/hardware/arduino/cores\nARDUINO_VARIANT=$(ARDUINO_HOME)/hardware/arduino/variants/%(variant)s\n\n# Define toolchain\nCC=%(cc)s\nCXX=%(cxx)s\nAS=%(asm)s\nLD=%(ld)s\nAR=%(ar)s\nOBJCOPY=%(objcopy)s\nSIZE=%(size)s\nAVRDUDE=%(avrdude)s\nPROGRAMER=%(programer)s\nLIB=\nINCLUDE=-I$(ARDUINO_CORE)/arduino -I$(ARDUINO_VARIANT) -I$(ARDUINO_CORE) -I lib/\n\n#Define of MCU\nMCU=%(mcu)s\nCLOCK=%(clock_hz)sUL\nARDUINO=%(sdk_version)s\n\n# Define compiler flags\n_CFLAGS=-Os -Wall -fno-exceptions -ffunction-sections -fdata-sections -mmcu=$(MCU) \\\n -DF_CPU=$(CLOCK) -MMD -DARDUINO=$(ARDUINO) \\\n -fpermissive -lm -Wl,-u,vfprintf -lprintf_min\nCFLAGS=$(_CFLAGS) -std=c99\nCXXFLAGS=$(_CFLAGS) -std=c++98\nASFLAGS=-mmcu $(MCU)\n\n# Define compiler rulers\nOBJ=%(obj_dep)s\nCORE_OBJ=%(core_obj_dep)s\nAOUT=binary/%(project_name)s-%(mcu)s.elf\nHEX=binary/%(project_name)s-%(mcu)s.hex\nEPP=binary/%(project_name)s-%(mcu)s.epp\nCORE_LIB=binary/core.a\nLIB_DEPS=%(lib_deps)s\nLD_FLAGS=-Os -Wl,--gc-sections -mmcu=$(MCU) -lm\n\nAVRDUDE_OPTIONS = -p$(MCU) -c$(PROGRAMER) %(pgrextra)s -Uflash:w:$(HEX):i\n\nSIZE_OPTS=-C --mcu=$(MCU)\n\nCONFIG_EXISTS=$(shell [ -e "Makefile.config" ] && echo 1 || echo 0)\n\nifeq ($(CONFIG_EXISTS), 1)\n include Makefile.config\nendif\n\nall: $(HEX) $(EPP)\n\nrebuild: clean all\n\ndeploy: $(HEX)\n\t$(AVRDUDE) $(AVRDUDE_OPTIONS)\n\n$(HEX): $(EPP)\n\t@echo " [\x1b[33m\x1b[1mOBJCOPY\x1b[0m] - \x1b[37m\x1b[1mFirmware\x1b[0m"\n\t@$(OBJCOPY) -O ihex -R .eeprom $(AOUT) $(HEX)\n\n$(EPP): $(AOUT)\n\t@echo " [\x1b[33m\x1b[1mOBJCOPY\x1b[0m] - \x1b[37m\x1b[1mMemory of EEPROM\x1b[0m"\n\t@$(OBJCOPY) -O ihex -j .eeprom --set-section-flags=.eeprom=alloc,load --no-change-warnings --change-section-lma .eeprom=0 $(AOUT) $(EPP)\n\nsize: $(AOUT)\n\t@$(SIZE) $(SIZE_OPTS) $(AOUT)\n\n$(AOUT): clear-compiler $(OBJ) $(CORE_LIB) $(LIB_DEPS)\n\t@echo " [\x1b[33m\x1b[1mLD\x1b[0m] - \x1b[37m\x1b[1m$(AOUT)\x1b[0m"\n\t@$(CXX) $(LD_FLAGS) $(LIB) $(OBJ) $(CORE_LIB) $(LIB_DEPS) -o $(AOUT)\n\n$(CORE_LIB): $(CORE_OBJ)%(core_ruler)s\n\n%(asm_rulers)s\n\n%(obj_rulers)s\n\n%(libs_rulers)s\n\n%(core_asm_rulers)s\n\n%(core_obj_rulers)s\n\nclear-compiler:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear compiler logs"\n\trm -f compile.*\n\nclean-tmp:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear temporary files"\n\t@rm -f tmp/*\n\nclean-bin:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear binary files"\n\t@rm -f binary/*\n\nclean:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear temporary files"\n\t@rm -f tmp/*\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear binary files"\n\t@rm -f binary/*\n', 'avr-Makefile': '##########################################\n# Makefile generated with sketch %(version)s\n##########################################\n\n# Define toolchain\nCC=%(cc)s\nCXX=%(cxx)s\nAS=%(asm)s\nLD=%(ld)s\nAR=%(ar)s\nOBJCOPY=%(objcopy)s\nSIZE=%(size)s\nAVRDUDE=%(avrdude)s\nPROGRAMER=%(programer)s\nLIB=\nINCLUDE=-I lib/\n\n#Define of MCU\nMCU=%(mcu)s\nCLOCK=%(clock_hz)sUL\n\n# Define compiler flags\n_CFLAGS=-Os -Wall -fno-exceptions -ffunction-sections -fdata-sections -mmcu=$(MCU) \\\n -DF_CPU=$(CLOCK) -fpermissive -lm -Wl,-u,vfprintf -lprintf_min\nCFLAGS=$(_CFLAGS) -std=c99\nCXXFLAGS=$(_CFLAGS) -std=c++98\nASFLAGS=-mmcu $(MCU)\n\n# Define compiler rulers\nASM=%(asm_dep)s\nOBJ=%(obj_dep)s\nLIB_DEPS=%(lib_deps)s\nAOUT=binary/%(project_name)s-%(mcu)s.elf\nHEX=binary/%(project_name)s-%(mcu)s.hex\nEPP=binary/%(project_name)s-%(mcu)s.epp\nLD_FLAGS=-Os -Wl,--gc-sections -mmcu=$(MCU) -lm\n\nAVRDUDE_OPTIONS = -p$(MCU) -c$(PROGRAMER) %(pgrextra)s -Uflash:w:$(HEX):i\n\nSIZE_OPTS=-A\n\nCONFIG_EXISTS=$(shell [ -e "Makefile.config" ] && echo 1 || echo 0)\n\nifeq ($(CONFIG_EXISTS), 1)\n include Makefile.config\nendif\n\nall: $(HEX) $(EPP)\n\nrebuild: clean all\n\ndeploy: $(HEX)\n\t$(AVRDUDE) $(AVRDUDE_OPTIONS)\n\n$(HEX): $(EPP)\n\t@echo " [\x1b[33m\x1b[1mOBJCOPY\x1b[0m] - \x1b[37m\x1b[1mFirmware\x1b[0m"\n\t@$(OBJCOPY) -O ihex -R .eeprom $(AOUT) $(HEX)\n\n$(EPP): $(AOUT)\n\t@echo " [\x1b[33m\x1b[1mOBJCOPY\x1b[0m] - \x1b[37m\x1b[1mMemory of EEPROM\x1b[0m"\n\t@$(OBJCOPY) -O ihex -j .eeprom --set-section-flags=.eeprom=alloc,load --no-change-warnings --change-section-lma .eeprom=0 $(AOUT) $(EPP)\n\nsize: $(AOUT)\n\t@$(SIZE) $(SIZE_OPTS) $(AOUT)\n\n$(AOUT): clear-compiler $(OBJ) $(LIB_DEPS)\n\t@echo " [\x1b[33m\x1b[1mLD\x1b[0m] - \x1b[37m\x1b[1m$(AOUT)\x1b[0m"\n\t@$(CXX) $(LD_FLAGS) $(LIB) $(OBJ) $(LIB_DEPS) -o $(AOUT)\n\n%(asm_rulers)s\n\n%(obj_rulers)s\n\n%(libs_rulers)s\n\nclear-compiler:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear compiler logs"\n\t@rm -f compile.*\n\nclean-tmp:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear temporary files"\n\t@rm -f tmp/*\n\nclean-bin:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear binary files"\n\t@rm -f binary/*\n\nclean:\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear temporary files"\n\t@rm -f tmp/*\n\t@echo " [\x1b[33m\x1b[1mRM\x1b[0m] - Clear binary files"\n\t@rm -f binary/*\n'} |
def main():
# input
A = input()
# compute
# output
if A == 'a':
print(-1)
else:
print('a')
if __name__ == '__main__':
main()
| def main():
a = input()
if A == 'a':
print(-1)
else:
print('a')
if __name__ == '__main__':
main() |
## mv to //:WORKSPACE.bzl ocaml_configure
load("//ocaml/_bootstrap:ocaml.bzl", _ocaml_configure = "ocaml_configure")
# load("//ocaml/_bootstrap:obazl.bzl", _obazl_configure = "obazl_configure")
load("//ocaml/_rules:ocaml_repository.bzl" , _ocaml_repository = "ocaml_repository")
# load("//ocaml/_rules:opam_configuration.bzl" , _opam_configuration = "opam_configuration")
# load("//ocaml/_toolchains:ocaml_toolchains.bzl",
# _ocaml_toolchain = "ocaml_toolchain",
# _ocaml_register_toolchains = "ocaml_register_toolchains")
# obazl_configure = _obazl_configure
ocaml_configure = _ocaml_configure
ocaml_repository = _ocaml_repository
# ocaml_toolchain = _ocaml_toolchain
# ocaml_register_toolchains = _ocaml_register_toolchains
| load('//ocaml/_bootstrap:ocaml.bzl', _ocaml_configure='ocaml_configure')
load('//ocaml/_rules:ocaml_repository.bzl', _ocaml_repository='ocaml_repository')
ocaml_configure = _ocaml_configure
ocaml_repository = _ocaml_repository |
class MetricsService:
def __init__(self, adc_data, metrics_data):
self._adc_data = adc_data
self._metrics_data = metrics_data
@property
def metrics_data(self):
return self._metrics_data
def update(self):
self._metrics_data.is_new_data_available = False
if self._adc_data.is_new_data_available:
self._metrics_data.update(self._adc_data.trace)
self._metrics_data.is_new_data_available = True
| class Metricsservice:
def __init__(self, adc_data, metrics_data):
self._adc_data = adc_data
self._metrics_data = metrics_data
@property
def metrics_data(self):
return self._metrics_data
def update(self):
self._metrics_data.is_new_data_available = False
if self._adc_data.is_new_data_available:
self._metrics_data.update(self._adc_data.trace)
self._metrics_data.is_new_data_available = True |
#sum(iterable, start=0, /)
#Return the sum of a 'start' value (default: 0) plus an iterable of numbers
#When the iterable is empty, return the start value.
'''This function is intended specifically for use with numeric values and may
reject non-numeric types.'''
a = [1,3,5,7,9,4,6,2,8]
print(sum(a))
print(sum(a,start = 4))
| """This function is intended specifically for use with numeric values and may
reject non-numeric types."""
a = [1, 3, 5, 7, 9, 4, 6, 2, 8]
print(sum(a))
print(sum(a, start=4)) |
def find_accounts(search_text):
# perform search...
if not db_is_available:
return None
# returns a list of account IDs
return db_search(search_text)
accounts = find_accounts('python')
if accounts is None:
print("Error: DB not available")
else:
print("Accounts found: Would list them here...")
def db_search(search_text):
return [1, 11]
db_is_availble = True
| def find_accounts(search_text):
if not db_is_available:
return None
return db_search(search_text)
accounts = find_accounts('python')
if accounts is None:
print('Error: DB not available')
else:
print('Accounts found: Would list them here...')
def db_search(search_text):
return [1, 11]
db_is_availble = True |
fruits = ["orange", "banana", "apple", "avocado", "kiwi", "apricot",
"cherry", "grape", "coconut", "lemon", "mango", "peach",
"pear", "strawberry", "pineapple", "apple", "orange", "pear",
"grape", "banana"
]
filters = dict()
for key in fruits:
filters[key] = 1
result = set(filters.keys())
print(result) | fruits = ['orange', 'banana', 'apple', 'avocado', 'kiwi', 'apricot', 'cherry', 'grape', 'coconut', 'lemon', 'mango', 'peach', 'pear', 'strawberry', 'pineapple', 'apple', 'orange', 'pear', 'grape', 'banana']
filters = dict()
for key in fruits:
filters[key] = 1
result = set(filters.keys())
print(result) |
#module.py
def hello():
print("Hello!")
#if __name__=="__main__":
# print(__name__) | def hello():
print('Hello!') |
class IOEngine(object):
def __init__(self, node):
self.node = node
self.inputs = []
self.outputs = []
def release(self):
self.inputs = None
self.outputs = None
self.node = None
def updateInputs(self, names):
# remove prior outputs
for inputNode in self.inputs:
if not inputNode in names:
if self.node.model.existNode(inputNode):
self.node.model.getNode(inputNode).ioEngine.removeOutput(
self.node.identifier)
newInputs = []
for nodeId in names:
if self.node.model.existNode(nodeId):
newInputs.append(nodeId)
if not nodeId in self.inputs:
self.node.model.getNode(nodeId).ioEngine.addOutput(
self.node.identifier)
self.inputs = newInputs
def removeOutput(self, nodeId):
if nodeId in self.outputs:
self.outputs.remove(nodeId)
def removeInput(self, nodeId):
if nodeId in self.inputs:
self.inputs.remove(nodeId)
def addOutput(self, nodeId):
self.outputs.append(nodeId)
def updateNodeId(self, oldId, newId):
for inputNode in self.inputs:
if self.node.model.existNode(inputNode):
self.node.model.getNode(
inputNode).ioEngine.updateOutputId(oldId, newId)
for outputNode in self.outputs:
if self.node.model.existNode(outputNode):
self.node.model.getNode(
outputNode).ioEngine.updateInputId(oldId, newId)
def updateOnDeleteNode(self):
for inputNode in self.inputs:
if self.node.model.existNode(inputNode):
self.node.model.getNode(inputNode).ioEngine.removeOutput(
self.node.identifier)
for outputNode in self.outputs:
if self.node.model.existNode(outputNode):
self.node.model.getNode(outputNode).ioEngine.removeInput(
self.node.identifier)
def updateOutputId(self, oldId, newId):
if oldId in self.outputs:
self.outputs.remove(oldId)
self.outputs.append(newId)
def updateInputId(self, oldId, newId):
if oldId in self.inputs:
self.inputs.remove(oldId)
self.inputs.append(newId)
self.node.updateDefinitionForChangeId(oldId, newId)
| class Ioengine(object):
def __init__(self, node):
self.node = node
self.inputs = []
self.outputs = []
def release(self):
self.inputs = None
self.outputs = None
self.node = None
def update_inputs(self, names):
for input_node in self.inputs:
if not inputNode in names:
if self.node.model.existNode(inputNode):
self.node.model.getNode(inputNode).ioEngine.removeOutput(self.node.identifier)
new_inputs = []
for node_id in names:
if self.node.model.existNode(nodeId):
newInputs.append(nodeId)
if not nodeId in self.inputs:
self.node.model.getNode(nodeId).ioEngine.addOutput(self.node.identifier)
self.inputs = newInputs
def remove_output(self, nodeId):
if nodeId in self.outputs:
self.outputs.remove(nodeId)
def remove_input(self, nodeId):
if nodeId in self.inputs:
self.inputs.remove(nodeId)
def add_output(self, nodeId):
self.outputs.append(nodeId)
def update_node_id(self, oldId, newId):
for input_node in self.inputs:
if self.node.model.existNode(inputNode):
self.node.model.getNode(inputNode).ioEngine.updateOutputId(oldId, newId)
for output_node in self.outputs:
if self.node.model.existNode(outputNode):
self.node.model.getNode(outputNode).ioEngine.updateInputId(oldId, newId)
def update_on_delete_node(self):
for input_node in self.inputs:
if self.node.model.existNode(inputNode):
self.node.model.getNode(inputNode).ioEngine.removeOutput(self.node.identifier)
for output_node in self.outputs:
if self.node.model.existNode(outputNode):
self.node.model.getNode(outputNode).ioEngine.removeInput(self.node.identifier)
def update_output_id(self, oldId, newId):
if oldId in self.outputs:
self.outputs.remove(oldId)
self.outputs.append(newId)
def update_input_id(self, oldId, newId):
if oldId in self.inputs:
self.inputs.remove(oldId)
self.inputs.append(newId)
self.node.updateDefinitionForChangeId(oldId, newId) |
#
# Copyright (C) 2018 The Android Open Source Project
#
# 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.
#
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}")
f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}")
b1 = Input("op3", "TENSOR_FLOAT32", "{4}")
pad0 = Int32Scalar("pad0", 0)
act = Int32Scalar("act", 0)
stride = Int32Scalar("stride", 1)
cm = Int32Scalar("channelMultiplier", 2)
output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}")
model = model.Operation("DEPTHWISE_CONV_2D",
i1, f1, b1,
pad0, pad0, pad0, pad0,
stride, stride,
cm, act).To(output)
model = model.RelaxedExecution(True)
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[10, 21, 10, 22, 10, 23,
10, 24, 10, 25, 10, 26,
10, 27, 10, 28, 10, 29],
f1:
[.25, 0, .2, 0,
.25, 0, 0, .3,
.25, 0, 0, 0,
.25, .1, 0, 0],
b1:
[1, 2, 3, 4]}
# (i1 (conv) f1) + b1
# filter usage:
# in_ch1 * f_1 --> output_d1
# in_ch1 * f_2 --> output_d2
# in_ch2 * f_3 --> output_d3
# in_ch3 * f_4 --> output_d4
output0 = {output: # output 0
[11, 3, 7.2, 10.6,
11, 3, 7.4, 10.9,
11, 3, 7.8, 11.5,
11, 3, 8.0, 11.8]}
# Instantiate an example
Example((input0, output0))
| model = model()
i1 = input('op1', 'TENSOR_FLOAT32', '{1, 3, 3, 2}')
f1 = input('op2', 'TENSOR_FLOAT32', '{1, 2, 2, 4}')
b1 = input('op3', 'TENSOR_FLOAT32', '{4}')
pad0 = int32_scalar('pad0', 0)
act = int32_scalar('act', 0)
stride = int32_scalar('stride', 1)
cm = int32_scalar('channelMultiplier', 2)
output = output('op4', 'TENSOR_FLOAT32', '{1, 2, 2, 4}')
model = model.Operation('DEPTHWISE_CONV_2D', i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, cm, act).To(output)
model = model.RelaxedExecution(True)
input0 = {i1: [10, 21, 10, 22, 10, 23, 10, 24, 10, 25, 10, 26, 10, 27, 10, 28, 10, 29], f1: [0.25, 0, 0.2, 0, 0.25, 0, 0, 0.3, 0.25, 0, 0, 0, 0.25, 0.1, 0, 0], b1: [1, 2, 3, 4]}
output0 = {output: [11, 3, 7.2, 10.6, 11, 3, 7.4, 10.9, 11, 3, 7.8, 11.5, 11, 3, 8.0, 11.8]}
example((input0, output0)) |
class Check_Excessive_Current(object):
def __init__(self,chain_name,cf,handlers,irrigation_io,irrigation_hash_control,get_json_object):
self.get_json_object = get_json_object
cf.define_chain(chain_name, False )
#cf.insert.log("check_excessive_current")
cf.insert.assert_function_reset(self.check_excessive_current)
cf.insert.log("excessive_current_found")
cf.insert.send_event("IRI_CLOSE_MASTER_VALVE",False)
cf.insert.send_event( "RELEASE_IRRIGATION_CONTROL")
cf.insert.one_step(irrigation_io.disable_all_sprinklers )
cf.insert.wait_event_count( count = 15 )
cf.insert.reset()
self.handlers = handlers
self.irrigation_hash_control = irrigation_hash_control
def check_excessive_current(self,cf_handle, chainObj, parameters, event):
#print("check excessive current")
return False #TBD
| class Check_Excessive_Current(object):
def __init__(self, chain_name, cf, handlers, irrigation_io, irrigation_hash_control, get_json_object):
self.get_json_object = get_json_object
cf.define_chain(chain_name, False)
cf.insert.assert_function_reset(self.check_excessive_current)
cf.insert.log('excessive_current_found')
cf.insert.send_event('IRI_CLOSE_MASTER_VALVE', False)
cf.insert.send_event('RELEASE_IRRIGATION_CONTROL')
cf.insert.one_step(irrigation_io.disable_all_sprinklers)
cf.insert.wait_event_count(count=15)
cf.insert.reset()
self.handlers = handlers
self.irrigation_hash_control = irrigation_hash_control
def check_excessive_current(self, cf_handle, chainObj, parameters, event):
return False |
indexWords = list()
def PreviousWord(_list, _word):
if _list[_list.index(_word)-1] :
return _list[_list.index(_word)-1]
else:
return
phrase = str(input())
phraseList = phrase.split(" ")
length = len(phraseList)
for item in phraseList :
item = item.strip()
if phrase != "" :
for i in range(1, length-1) :
lengthOfWord = len(phraseList[i])
if phraseList[i][0].isupper() :
if PreviousWord(phraseList, phraseList[i])[-1] != "." :
if phraseList[i][-1]=="." or phraseList[i][-1]=="," :
indexWords.append(i + 1)
indexWords.append(phraseList[i][: lengthOfWord-1])
elif phraseList[i][-1]== "]" and phraseList[i][-2]== "'" :
indexWords.append(i + 1)
indexWords.append(phraseList[i][: lengthOfWord-2])
else :
indexWords.append(i + 1)
indexWords.append(phraseList[i])
else:
print("None")
lengthOfIndexWord = len(indexWords)
if lengthOfIndexWord == 0 :
print("None")
else:
for i in range(0, lengthOfIndexWord//2):
print("%i:%s" %(indexWords[2*i],indexWords[(2*i)+1])) | index_words = list()
def previous_word(_list, _word):
if _list[_list.index(_word) - 1]:
return _list[_list.index(_word) - 1]
else:
return
phrase = str(input())
phrase_list = phrase.split(' ')
length = len(phraseList)
for item in phraseList:
item = item.strip()
if phrase != '':
for i in range(1, length - 1):
length_of_word = len(phraseList[i])
if phraseList[i][0].isupper():
if previous_word(phraseList, phraseList[i])[-1] != '.':
if phraseList[i][-1] == '.' or phraseList[i][-1] == ',':
indexWords.append(i + 1)
indexWords.append(phraseList[i][:lengthOfWord - 1])
elif phraseList[i][-1] == ']' and phraseList[i][-2] == "'":
indexWords.append(i + 1)
indexWords.append(phraseList[i][:lengthOfWord - 2])
else:
indexWords.append(i + 1)
indexWords.append(phraseList[i])
else:
print('None')
length_of_index_word = len(indexWords)
if lengthOfIndexWord == 0:
print('None')
else:
for i in range(0, lengthOfIndexWord // 2):
print('%i:%s' % (indexWords[2 * i], indexWords[2 * i + 1])) |
city_country = {}
for _ in range(int(input())):
country, *cities = input().split()
for city in cities:
city_country[city] = country
for _ in range(int(input())):
print(city_country[input()]) | city_country = {}
for _ in range(int(input())):
(country, *cities) = input().split()
for city in cities:
city_country[city] = country
for _ in range(int(input())):
print(city_country[input()]) |
nume1 = int(input("Digite um numero"))
nume2 = int(input("Digite um numero"))
nume3 = int(input("Digite um numero"))
nume4 = int(input("Digite um numero"))
nume5 = int(input("Digite um numero"))
table = [nume1,nume2,nume3,nume4,nume5]
tableM = (float((nume1 + nume2 + nume3 + nume4 + nume5)))
print(float(tableM)) | nume1 = int(input('Digite um numero'))
nume2 = int(input('Digite um numero'))
nume3 = int(input('Digite um numero'))
nume4 = int(input('Digite um numero'))
nume5 = int(input('Digite um numero'))
table = [nume1, nume2, nume3, nume4, nume5]
table_m = float(nume1 + nume2 + nume3 + nume4 + nume5)
print(float(tableM)) |
class Solution:
def combinationSum(self, candidates, target):
def lookup(candidates, index, target, combine, result):
if target == 0:
result.append(combine)
return
if index >= len(candidates) and target > 0:
return
if target >= candidates[index]:
lookup(candidates, index, target - candidates[index], list(combine) + [candidates[index]], result)
lookup(candidates, index + 1, target, list(combine), result)
sorted(candidates)
result = []
lookup(candidates, 0, target, [], result)
return result
s = Solution()
print(s.combinationSum([2,3,6,7], 7))
print(s.combinationSum([2,3,5], 8))
| class Solution:
def combination_sum(self, candidates, target):
def lookup(candidates, index, target, combine, result):
if target == 0:
result.append(combine)
return
if index >= len(candidates) and target > 0:
return
if target >= candidates[index]:
lookup(candidates, index, target - candidates[index], list(combine) + [candidates[index]], result)
lookup(candidates, index + 1, target, list(combine), result)
sorted(candidates)
result = []
lookup(candidates, 0, target, [], result)
return result
s = solution()
print(s.combinationSum([2, 3, 6, 7], 7))
print(s.combinationSum([2, 3, 5], 8)) |
# version of the graw package
__version__ = "0.1.0"
| __version__ = '0.1.0' |
'''
@author Gabriel Flores
Checks the primality of an integer.
'''
def is_prime(x):
'''
Checks the primality of an integer.
'''
sqrt = int(x ** (1/2))
for i in range(2, sqrt, 1):
if x % i == 0:
return False
return True
def main():
try:
print("\n\n")
a = int(input(" Enter an integer to check if it is prime: "))
if is_prime(a):
print("\n ",a,"is a prime number.\n")
else:
print("\n ",a,"is not a prime number.\n")
except ValueError as e:
print("\n\n Please enter a valid choice.\n")
if __name__ == "__main__":
main() | """
@author Gabriel Flores
Checks the primality of an integer.
"""
def is_prime(x):
"""
Checks the primality of an integer.
"""
sqrt = int(x ** (1 / 2))
for i in range(2, sqrt, 1):
if x % i == 0:
return False
return True
def main():
try:
print('\n\n')
a = int(input(' Enter an integer to check if it is prime: '))
if is_prime(a):
print('\n ', a, 'is a prime number.\n')
else:
print('\n ', a, 'is not a prime number.\n')
except ValueError as e:
print('\n\n Please enter a valid choice.\n')
if __name__ == '__main__':
main() |
def fibonacci_iterative(n):
previous = 0
current = 1
for i in range(n - 1):
current_old = current
current = previous + current
previous = current_old
return current
def fibonacci_recursive(n):
if n == 0 or n == 1:
return n
else:
return fibonacci_recursive(n - 2) + fibonacci_recursive(n - 1)
| def fibonacci_iterative(n):
previous = 0
current = 1
for i in range(n - 1):
current_old = current
current = previous + current
previous = current_old
return current
def fibonacci_recursive(n):
if n == 0 or n == 1:
return n
else:
return fibonacci_recursive(n - 2) + fibonacci_recursive(n - 1) |
__all__ = [
'session',
'event',
'profile',
'consent',
'segment',
'source',
'rule',
'entity'
]
| __all__ = ['session', 'event', 'profile', 'consent', 'segment', 'source', 'rule', 'entity'] |
def global_alignment(seq1, seq2, score_matrix, penalty):
len1, len2 = len(seq1), len(seq2)
s = [[0] * (len2 + 1) for i in range(len1 + 1)]
backtrack = [[0] * (len2 + 1) for i in range(len1 + 1)]
for i in range(1, len1 + 1):
s[i][0] = - i * penalty
for j in range(1, len2 + 1):
s[0][j] = - j * penalty
for i in range(1, len1 + 1):
for j in range(1, len2 + 1):
score_list = [s[i - 1][j] - penalty, s[i][j - 1] - penalty,
s[i - 1][j - 1] + score_matrix[seq1[i - 1], seq2[j - 1]]]
s[i][j] = max(score_list)
backtrack[i][j] = score_list.index(s[i][j])
indel_insert = lambda seq, i: seq[:i] + '-' + seq[i:]
align1, align2 = seq1, seq2
a, b = len1, len2
max_score = str(s[a][b])
while a * b != 0:
if backtrack[a][b] == 0:
a -= 1
align2 = indel_insert(align2, b)
elif backtrack[a][b] == 1:
b -= 1
align1 = indel_insert(align1, a)
else:
a -= 1
b -= 1
for i in range(a):
align2 = indel_insert(align2, 0)
for j in range(b):
align1 = indel_insert(align1, 0)
return max_score, align1, align2
def mid_column_score(v, w, score_matrix, penalty):
s = [[i * j * penalty for i in range(-1, 1)] for j in range(len(v) + 1)]
s[0][1] = -penalty
backtrack = [0] * (len(v) + 1)
for j in range(1, len(w) // 2 + 1):
for i in range(0, len(v) + 1):
if i == 0:
s[i][1] = -j * penalty
else:
scores = [s[i - 1][0] + score_matrix[v[i - 1], w[j - 1]], s[i][0] - penalty, s[i - 1][1] - penalty]
s[i][1] = max(scores)
backtrack[i] = scores.index(s[i][1])
if j != len(w) // 2:
s = [[row[1]] * 2 for row in s]
return [i[1] for i in s], backtrack
def mid_edge(v, w, score_matrix, penalty):
source = mid_column_score(v, w, score_matrix, penalty)[0]
mid_to_sink, backtrack = list(map(lambda l: l[::-1], mid_column_score(v[::-1], w[::-1] + ['', '$'][
len(w) % 2 == 1 and len(w) > 1], score_matrix, penalty)))
scores = list(map(sum, zip(source, mid_to_sink)))
max_mid = max(range(len(scores)), key = lambda i: scores[i])
if max_mid == len(scores) - 1:
next_node = (max_mid, len(w) // 2 + 1)
else:
next_node = [(max_mid + 1, len(w) // 2 + 1), (max_mid, len(w) // 2 + 1), (max_mid + 1, len(w) // 2), ][
backtrack[max_mid]]
return (max_mid, len(w) // 2), next_node
def linear_space_alignment(top, bottom, left, right, score_matrix):
v = seq1
w = seq2
if left == right:
return [v[top:bottom], '-' * (bottom - top)]
elif top == bottom:
return ['-' * (right - left), w[left:right]]
elif bottom - top == 1 or right - left == 1:
return global_alignment(v[top:bottom], w[left:right], score_matrix, penalty)[1:]
else:
mid_node, next_node = mid_edge(v[top:bottom], w[left:right], score_matrix, penalty)
mid_node = tuple(map(sum, zip(mid_node, [top, left])))
next_node = tuple(map(sum, zip(next_node, [top, left])))
current = [['-', v[mid_node[0] % len(v)]][next_node[0] - mid_node[0]],
['-', w[mid_node[1] % len(w)]][next_node[1] - mid_node[1]]]
a = linear_space_alignment(top, mid_node[0], left, mid_node[1], score_matrix)
b = linear_space_alignment(next_node[0], bottom, next_node[1], right, score_matrix)
return [a[i] + current[i] + b[i] for i in range(2)]
def linear_space_global_alignment(v, w, score_matrix, penalty):
align1, align2 = linear_space_alignment(0, len(v), 0, len(w), score_matrix)
p = []
for i in zip(align1, align2):
if '-' in i:
p.append(-penalty)
else:
p.append(score_matrix[i])
score = sum(p)
return str(score), align1, align2
if __name__ == '__main__':
with open('input.txt') as f:
seq1 = f.readline().strip()
seq2 = f.readline().strip()
with open('BLOSUM62.txt') as f1:
lines = [line.strip().split() for line in f1.readlines()]
matrix = {(i[0], i[1]): int(i[2]) for i in lines}
penalty = 5
alignment = '\n'.join(linear_space_global_alignment(seq1, seq2, matrix, penalty))
print(alignment)
| def global_alignment(seq1, seq2, score_matrix, penalty):
(len1, len2) = (len(seq1), len(seq2))
s = [[0] * (len2 + 1) for i in range(len1 + 1)]
backtrack = [[0] * (len2 + 1) for i in range(len1 + 1)]
for i in range(1, len1 + 1):
s[i][0] = -i * penalty
for j in range(1, len2 + 1):
s[0][j] = -j * penalty
for i in range(1, len1 + 1):
for j in range(1, len2 + 1):
score_list = [s[i - 1][j] - penalty, s[i][j - 1] - penalty, s[i - 1][j - 1] + score_matrix[seq1[i - 1], seq2[j - 1]]]
s[i][j] = max(score_list)
backtrack[i][j] = score_list.index(s[i][j])
indel_insert = lambda seq, i: seq[:i] + '-' + seq[i:]
(align1, align2) = (seq1, seq2)
(a, b) = (len1, len2)
max_score = str(s[a][b])
while a * b != 0:
if backtrack[a][b] == 0:
a -= 1
align2 = indel_insert(align2, b)
elif backtrack[a][b] == 1:
b -= 1
align1 = indel_insert(align1, a)
else:
a -= 1
b -= 1
for i in range(a):
align2 = indel_insert(align2, 0)
for j in range(b):
align1 = indel_insert(align1, 0)
return (max_score, align1, align2)
def mid_column_score(v, w, score_matrix, penalty):
s = [[i * j * penalty for i in range(-1, 1)] for j in range(len(v) + 1)]
s[0][1] = -penalty
backtrack = [0] * (len(v) + 1)
for j in range(1, len(w) // 2 + 1):
for i in range(0, len(v) + 1):
if i == 0:
s[i][1] = -j * penalty
else:
scores = [s[i - 1][0] + score_matrix[v[i - 1], w[j - 1]], s[i][0] - penalty, s[i - 1][1] - penalty]
s[i][1] = max(scores)
backtrack[i] = scores.index(s[i][1])
if j != len(w) // 2:
s = [[row[1]] * 2 for row in s]
return ([i[1] for i in s], backtrack)
def mid_edge(v, w, score_matrix, penalty):
source = mid_column_score(v, w, score_matrix, penalty)[0]
(mid_to_sink, backtrack) = list(map(lambda l: l[::-1], mid_column_score(v[::-1], w[::-1] + ['', '$'][len(w) % 2 == 1 and len(w) > 1], score_matrix, penalty)))
scores = list(map(sum, zip(source, mid_to_sink)))
max_mid = max(range(len(scores)), key=lambda i: scores[i])
if max_mid == len(scores) - 1:
next_node = (max_mid, len(w) // 2 + 1)
else:
next_node = [(max_mid + 1, len(w) // 2 + 1), (max_mid, len(w) // 2 + 1), (max_mid + 1, len(w) // 2)][backtrack[max_mid]]
return ((max_mid, len(w) // 2), next_node)
def linear_space_alignment(top, bottom, left, right, score_matrix):
v = seq1
w = seq2
if left == right:
return [v[top:bottom], '-' * (bottom - top)]
elif top == bottom:
return ['-' * (right - left), w[left:right]]
elif bottom - top == 1 or right - left == 1:
return global_alignment(v[top:bottom], w[left:right], score_matrix, penalty)[1:]
else:
(mid_node, next_node) = mid_edge(v[top:bottom], w[left:right], score_matrix, penalty)
mid_node = tuple(map(sum, zip(mid_node, [top, left])))
next_node = tuple(map(sum, zip(next_node, [top, left])))
current = [['-', v[mid_node[0] % len(v)]][next_node[0] - mid_node[0]], ['-', w[mid_node[1] % len(w)]][next_node[1] - mid_node[1]]]
a = linear_space_alignment(top, mid_node[0], left, mid_node[1], score_matrix)
b = linear_space_alignment(next_node[0], bottom, next_node[1], right, score_matrix)
return [a[i] + current[i] + b[i] for i in range(2)]
def linear_space_global_alignment(v, w, score_matrix, penalty):
(align1, align2) = linear_space_alignment(0, len(v), 0, len(w), score_matrix)
p = []
for i in zip(align1, align2):
if '-' in i:
p.append(-penalty)
else:
p.append(score_matrix[i])
score = sum(p)
return (str(score), align1, align2)
if __name__ == '__main__':
with open('input.txt') as f:
seq1 = f.readline().strip()
seq2 = f.readline().strip()
with open('BLOSUM62.txt') as f1:
lines = [line.strip().split() for line in f1.readlines()]
matrix = {(i[0], i[1]): int(i[2]) for i in lines}
penalty = 5
alignment = '\n'.join(linear_space_global_alignment(seq1, seq2, matrix, penalty))
print(alignment) |
def main(file: str) -> None:
depth = 0
distance = 0
aim = 0
with open(f"{file}.in") as f:
for line in f.readlines():
line = line.rstrip().split(" ")
command = line[0]
unit = int(line[1])
if command == "forward":
distance += unit
depth += aim * unit
elif command == "down":
aim += unit
else:
aim -= unit
print(f"{file}: {depth * distance}")
if __name__ == "__main__":
main("test")
main("puzzle")
| def main(file: str) -> None:
depth = 0
distance = 0
aim = 0
with open(f'{file}.in') as f:
for line in f.readlines():
line = line.rstrip().split(' ')
command = line[0]
unit = int(line[1])
if command == 'forward':
distance += unit
depth += aim * unit
elif command == 'down':
aim += unit
else:
aim -= unit
print(f'{file}: {depth * distance}')
if __name__ == '__main__':
main('test')
main('puzzle') |
# coding=utf8
class MetaSingleton(type):
def __init__(cls, *args):
type.__init__(cls, *args)
cls.instance = None
def __call__(cls, *args, **kwargs):
if not cls.instance:
cls.instance = type.__call__(cls, *args, **kwargs)
return cls.instance
| class Metasingleton(type):
def __init__(cls, *args):
type.__init__(cls, *args)
cls.instance = None
def __call__(cls, *args, **kwargs):
if not cls.instance:
cls.instance = type.__call__(cls, *args, **kwargs)
return cls.instance |
class Person:
olhos = 2
def __init__(self, *children, name=None, year=0):
self.year = year
self.name = name
self.children = list(children)
def cumprimentar(self):
return 'Hello'
@staticmethod
def metodo_estatico():
return 123
@classmethod
def metodo_classe(cls):
return f'{cls} - {cls.olhos}'
if __name__ == '__main__':
p = Person()
eu = Person(name='marcio')
wes = Person(eu, name='Wesley')
print(p.cumprimentar())
print(p.year) # Atributo de instancia
print(p.name) # Atributo de dados
for filhos in wes.children:
print(filhos.year)
p.sobre = 'eu'
print(p.sobre)
del p.sobre
print(p.__dict__)
print(p.olhos)
print(eu.olhos)
print(p.metodo_estatico(), eu.metodo_estatico())
print(p.metodo_classe(), eu.metodo_classe())
| class Person:
olhos = 2
def __init__(self, *children, name=None, year=0):
self.year = year
self.name = name
self.children = list(children)
def cumprimentar(self):
return 'Hello'
@staticmethod
def metodo_estatico():
return 123
@classmethod
def metodo_classe(cls):
return f'{cls} - {cls.olhos}'
if __name__ == '__main__':
p = person()
eu = person(name='marcio')
wes = person(eu, name='Wesley')
print(p.cumprimentar())
print(p.year)
print(p.name)
for filhos in wes.children:
print(filhos.year)
p.sobre = 'eu'
print(p.sobre)
del p.sobre
print(p.__dict__)
print(p.olhos)
print(eu.olhos)
print(p.metodo_estatico(), eu.metodo_estatico())
print(p.metodo_classe(), eu.metodo_classe()) |
class Animal:
def __init__(self):
self.name = ""
self.weight = 0
self.sound = ""
def setName(self, name):
self.name = name
def getName(self):
return self.name
def setWeight(self, weight):
self.weight = weight
def getWeight(self):
return self.weight
def setSound(self, sound):
self.sound = sound
def getSound(self):
return self.sound
| class Animal:
def __init__(self):
self.name = ''
self.weight = 0
self.sound = ''
def set_name(self, name):
self.name = name
def get_name(self):
return self.name
def set_weight(self, weight):
self.weight = weight
def get_weight(self):
return self.weight
def set_sound(self, sound):
self.sound = sound
def get_sound(self):
return self.sound |
#!/usr/bin/python3
lines = open("inputs/07.in", "r").readlines()
for i,line in enumerate(lines):
lines[i] = line.split("\n")[0]
l = lines.copy();
wires = {}
def func_set(p, i):
if p[0].isdigit():
wires[p[2]] = int(p[0])
lines.pop(i)
elif p[0] in wires.keys():
wires[p[2]] = wires[p[0]]
lines.pop(i)
def func_and(p, i):
if p[0].isdigit() and p[2] in wires.keys():
wires[p[4]] = int(p[0]) & wires[p[2]]
lines.pop(i)
if p[0] in wires.keys() and p[2] in wires.keys():
wires[p[4]] = wires[p[0]] & wires[p[2]]
lines.pop(i)
def func_or(p, i):
if p[0] in wires.keys() and p[2] in wires.keys():
wires[p[4]] = wires[p[0]] | wires[p[2]]
lines.pop(i)
def func_rshift(p, i):
if p[0] in wires.keys():
wires[p[4]] = wires[p[0]] >> int(p[2])
lines.pop(i)
def func_lshift(p, i):
if p[0] in wires.keys():
wires[p[4]] = wires[p[0]] << int(p[2])
lines.pop(i)
def func_not(p, i):
if p[1] in wires.keys():
wires[p[3]] = 65535 - wires[p[1]]
lines.pop(i)
def run():
i = 0
while len(lines) > 0:
parts = lines[i].split(" ")
if "AND" in parts:
func_and(parts, i)
elif "NOT" in parts:
func_not(parts, i)
elif "RSHIFT" in parts:
func_rshift(parts, i)
elif "LSHIFT" in parts:
func_lshift(parts, i)
elif "OR" in parts:
func_or(parts, i)
else:
func_set(parts, i)
i += 1
if i >= len(lines):
i = 0
run()
print("Part 1: " + str(wires["a"]))
lines = l
wires = {"b": wires["a"]}
run()
print("Part 2: " + str(wires["a"]))
| lines = open('inputs/07.in', 'r').readlines()
for (i, line) in enumerate(lines):
lines[i] = line.split('\n')[0]
l = lines.copy()
wires = {}
def func_set(p, i):
if p[0].isdigit():
wires[p[2]] = int(p[0])
lines.pop(i)
elif p[0] in wires.keys():
wires[p[2]] = wires[p[0]]
lines.pop(i)
def func_and(p, i):
if p[0].isdigit() and p[2] in wires.keys():
wires[p[4]] = int(p[0]) & wires[p[2]]
lines.pop(i)
if p[0] in wires.keys() and p[2] in wires.keys():
wires[p[4]] = wires[p[0]] & wires[p[2]]
lines.pop(i)
def func_or(p, i):
if p[0] in wires.keys() and p[2] in wires.keys():
wires[p[4]] = wires[p[0]] | wires[p[2]]
lines.pop(i)
def func_rshift(p, i):
if p[0] in wires.keys():
wires[p[4]] = wires[p[0]] >> int(p[2])
lines.pop(i)
def func_lshift(p, i):
if p[0] in wires.keys():
wires[p[4]] = wires[p[0]] << int(p[2])
lines.pop(i)
def func_not(p, i):
if p[1] in wires.keys():
wires[p[3]] = 65535 - wires[p[1]]
lines.pop(i)
def run():
i = 0
while len(lines) > 0:
parts = lines[i].split(' ')
if 'AND' in parts:
func_and(parts, i)
elif 'NOT' in parts:
func_not(parts, i)
elif 'RSHIFT' in parts:
func_rshift(parts, i)
elif 'LSHIFT' in parts:
func_lshift(parts, i)
elif 'OR' in parts:
func_or(parts, i)
else:
func_set(parts, i)
i += 1
if i >= len(lines):
i = 0
run()
print('Part 1: ' + str(wires['a']))
lines = l
wires = {'b': wires['a']}
run()
print('Part 2: ' + str(wires['a'])) |
#Variables
#Working with build 2234
saberPort = "/dev/ttyUSB0"
#Initializing Motorcontroller
saber = Runtime.start("saber", "Sabertooth")
saber.connect(saberPort)
sleep(1)
#Initializing Joystick
joystick = Runtime.start("joystick","Joystick")
print(joystick.getControllers())
python.subscribe("joystick","publishJoystickInput")
joystick.setController(0)
for x in range(0,100):
print("power", x)
saber.driveForwardMotor1(x)
sleep(0.5)
for x in range(100,-1,-1):
print("power", x)
saber.driveForwardMotor1(x)
sleep(0.5)
| saber_port = '/dev/ttyUSB0'
saber = Runtime.start('saber', 'Sabertooth')
saber.connect(saberPort)
sleep(1)
joystick = Runtime.start('joystick', 'Joystick')
print(joystick.getControllers())
python.subscribe('joystick', 'publishJoystickInput')
joystick.setController(0)
for x in range(0, 100):
print('power', x)
saber.driveForwardMotor1(x)
sleep(0.5)
for x in range(100, -1, -1):
print('power', x)
saber.driveForwardMotor1(x)
sleep(0.5) |
#===============================================================================
# Copyright 2020-2021 Intel Corporation
#
# 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.
#===============================================================================
load("@onedal//dev/bazel:repos.bzl", "repos")
micromkl_repo = repos.prebuilt_libs_repo_rule(
includes = [
"include",
"%{os}/include",
],
libs = [
"%{os}/lib/intel64/libdaal_mkl_thread.a",
"%{os}/lib/intel64/libdaal_mkl_sequential.a",
"%{os}/lib/intel64/libdaal_vmlipp_core.a",
],
build_template = "@onedal//dev/bazel/deps:micromkl.tpl.BUILD",
)
micromkl_dpc_repo = repos.prebuilt_libs_repo_rule(
includes = [
"include",
],
libs = [
"lib/intel64/libdaal_sycl.a",
],
build_template = "@onedal//dev/bazel/deps:micromkldpc.tpl.BUILD",
)
| load('@onedal//dev/bazel:repos.bzl', 'repos')
micromkl_repo = repos.prebuilt_libs_repo_rule(includes=['include', '%{os}/include'], libs=['%{os}/lib/intel64/libdaal_mkl_thread.a', '%{os}/lib/intel64/libdaal_mkl_sequential.a', '%{os}/lib/intel64/libdaal_vmlipp_core.a'], build_template='@onedal//dev/bazel/deps:micromkl.tpl.BUILD')
micromkl_dpc_repo = repos.prebuilt_libs_repo_rule(includes=['include'], libs=['lib/intel64/libdaal_sycl.a'], build_template='@onedal//dev/bazel/deps:micromkldpc.tpl.BUILD') |
guests=int(input())
reservations=set([])
while guests!=0:
reservationCode=input()
reservations.add(reservationCode)
guests-=1
while True:
r=input()
if r!="END":
reservations.discard(r)
else:
print(len(reservations))
VIPS=[]; Regulars=[]
for e in reservations:
if e[0].isnumeric():
VIPS.append(e)
else:
Regulars.append(e)
VIPS.sort(); Regulars.sort()
for k in VIPS:
print(k)
for k in Regulars:
print(k)
break | guests = int(input())
reservations = set([])
while guests != 0:
reservation_code = input()
reservations.add(reservationCode)
guests -= 1
while True:
r = input()
if r != 'END':
reservations.discard(r)
else:
print(len(reservations))
vips = []
regulars = []
for e in reservations:
if e[0].isnumeric():
VIPS.append(e)
else:
Regulars.append(e)
VIPS.sort()
Regulars.sort()
for k in VIPS:
print(k)
for k in Regulars:
print(k)
break |
class TestClass:
def __init__(self, list, name):
self.list = list
self.name = name
def func1():
print("func1 print something")
def func2():
print("func2 print something")
integer = 8
return integer
def func3():
print("func3 print something")
s = "func3"
return s
def func4():
print("func4 print something")
listIntegers = [1,2,3,4,5]
return listIntegers
def func5():
print("func5 print something")
listStrings = ["a","b","c","d","e"]
return listStrings
print("Hello World")
# test = TestClass()
| class Testclass:
def __init__(self, list, name):
self.list = list
self.name = name
def func1():
print('func1 print something')
def func2():
print('func2 print something')
integer = 8
return integer
def func3():
print('func3 print something')
s = 'func3'
return s
def func4():
print('func4 print something')
list_integers = [1, 2, 3, 4, 5]
return listIntegers
def func5():
print('func5 print something')
list_strings = ['a', 'b', 'c', 'd', 'e']
return listStrings
print('Hello World') |
# // ###########################################################################
# // Queries
# // ###########################################################################
# -> get a single cell of a df (use `iloc` with `row` + `col` as arguments)
df.iloc[0]['staticContextId']
# -> get one column as a list
allFunctionNames = staticContexts[['displayName']].to_numpy().flatten().tolist()
# -> get all rows that match a condition
callLinked = staticTraces[~staticTraces['callId'].isin([0])]
# -> exclude columns
df.drop(['A', 'B'], axis=1)
# -> complex queries
staticTraces.query(f'callId == {callId} or resultCallId == {callId}')
# -> join queries (several examples)
# https://stackoverflow.com/a/40869861
df.set_index('key').join(other.set_index('key'))
B.query('client_id not in @A.client_id')
B[~B.client_id.isin(A.client_id)]
# merging dfs
# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html
pd.merge(df1, df2, on=['A', 'B'])
df1.merge(df2, left_on='lkey', right_on='rkey')
# // ###########################################################################
# // Display
# // ###########################################################################
# -> display a groupby object (https://stackoverflow.com/questions/22691010/how-to-print-a-groupby-object)
groups = df.groupby('A')
for key, item in groups:
group = groups.get_group(key)
display(group)
# .to_numpy().flatten().tolist() | df.iloc[0]['staticContextId']
all_function_names = staticContexts[['displayName']].to_numpy().flatten().tolist()
call_linked = staticTraces[~staticTraces['callId'].isin([0])]
df.drop(['A', 'B'], axis=1)
staticTraces.query(f'callId == {callId} or resultCallId == {callId}')
df.set_index('key').join(other.set_index('key'))
B.query('client_id not in @A.client_id')
B[~B.client_id.isin(A.client_id)]
pd.merge(df1, df2, on=['A', 'B'])
df1.merge(df2, left_on='lkey', right_on='rkey')
groups = df.groupby('A')
for (key, item) in groups:
group = groups.get_group(key)
display(group) |
def climbingLeaderboard(ranked, player):
ranked = sorted(list(set(ranked)), reverse=True)
ranks = []
# print(ranked)
for i in range(len(player)):
bi = 0
bs = len(ranked) - 1
index = 0
while (bi <= bs):
mid = (bi+bs) // 2
if (ranked[mid] > player[i]):
index = mid
bi = mid + 1
else:
bs = mid - 1
if (ranked[index] > player[i]):
index += 1
index += 1
ranks.append(index)
return ranks
| def climbing_leaderboard(ranked, player):
ranked = sorted(list(set(ranked)), reverse=True)
ranks = []
for i in range(len(player)):
bi = 0
bs = len(ranked) - 1
index = 0
while bi <= bs:
mid = (bi + bs) // 2
if ranked[mid] > player[i]:
index = mid
bi = mid + 1
else:
bs = mid - 1
if ranked[index] > player[i]:
index += 1
index += 1
ranks.append(index)
return ranks |
class Auth():
def __init__(self, client):
self.client = client
def get_profiles(self):
return self.client.get('/auth/api/profiles/', {'page_size': 10000})['results']
def get_groups(self):
return self.client.get('/auth/api/groups/')
def get_group_map(self):
return {group['id']: group['name'] for group in self.get_groups()}
def activate_profile(self, pk):
return self.client.put('/auth/api/profiles/%d/activate/' % pk, {})
def update_profile_attributes(self, pk, attributes):
return self.client.patch('/auth/api/profiles/%d/' % pk, {'attributes': attributes})
| class Auth:
def __init__(self, client):
self.client = client
def get_profiles(self):
return self.client.get('/auth/api/profiles/', {'page_size': 10000})['results']
def get_groups(self):
return self.client.get('/auth/api/groups/')
def get_group_map(self):
return {group['id']: group['name'] for group in self.get_groups()}
def activate_profile(self, pk):
return self.client.put('/auth/api/profiles/%d/activate/' % pk, {})
def update_profile_attributes(self, pk, attributes):
return self.client.patch('/auth/api/profiles/%d/' % pk, {'attributes': attributes}) |
class Solution:
def kthFactor(self, n: int, k: int) -> int:
s1 = set()
s2 = set()
for i in range(1,int(n**0.5)+1):
if n%i ==0:
s1.add(i)
s2.add(int(n/i))
l = list(s1|s2)
l.sort()
if k > len(l):
return -1
return l[k-1] | class Solution:
def kth_factor(self, n: int, k: int) -> int:
s1 = set()
s2 = set()
for i in range(1, int(n ** 0.5) + 1):
if n % i == 0:
s1.add(i)
s2.add(int(n / i))
l = list(s1 | s2)
l.sort()
if k > len(l):
return -1
return l[k - 1] |
__title__ = 'The Onion Box'
__description__ = 'Dashboard to monitor Tor node operations.'
__version__ = '20.2'
__stamp__ = '20200119|095654'
| __title__ = 'The Onion Box'
__description__ = 'Dashboard to monitor Tor node operations.'
__version__ = '20.2'
__stamp__ = '20200119|095654' |
# This is the word list from where the answers for the hangman game will come from.
word_list = [
2015,
"Fred Swaniker",
"Rwanda and Mauritius",
2,
"Dr, Gaidi Faraj",
"Sila Ogidi",
"Madagascar",
94,
8,
"Mauritius"
]
# Here we are defining the variables 'Right'(for when they get the question correct) and \n
# 'tries'(for when they get a question wrong).
Right = 0
tries = 0
# This function below after called, will greet the user when they input their name.
def greet(name):
print("Hello " + name + " welcome to hangman and good luck!")
user_name = input("What is your name?")
greet(user_name)
# This functions below when called, will check when guess is returned whether the user's guess is in the word_list\n
# or not and will print out the appropriate responses while consecutively adding to the 'Right' or 'tries' variable.
def alu(guess):
if guess in word_list:
print("congrats!")
def check(guess):
if guess not in word_list:
print("Wrong")
return guess
guess1 = int(input("When was ALU founded?"))
if alu(guess1):
Right += 1
else:
check(guess1)
tries += 1
guess2 = input("Who is the CEO of ALU")
if alu(guess2):
Right += 1
else:
check(guess2)
tries += 1
guess3 = input("Where are ALU campuses?")
if alu(guess3):
Right += 1
else:
check(guess3)
tries += 1
guess4 = int(input("How many campuses does ALU have?"))
if alu(guess4):
Right += 1
else:
check(guess4)
tries += 1
guess5 = input("What is the name of ALU Rwanda's Dean?")
if alu(guess5):
Right += 1
else:
check(guess5)
tries += 1
guess6 = input("Who is in charge of Student Life?")
if alu(guess6):
Right += 1
else:
check(guess6)
tries += 1
if tries == 6:
exit("You lost")
guess7 = input("What is the name of our Lab?")
if alu(guess7):
Right += 1
else:
check(guess7)
tries += 1
if tries == 6:
exit("You lost")
guess8 = int(input("How many students do we have in Year 2 CS?"))
if alu(guess8):
Right += 1
else:
check(guess8)
tries += 1
if tries == 6:
exit("You lost")
guess9 = int(input("How many degrees does ALU offer?"))
if alu(guess9):
Right += 1
else:
check(guess9)
tries += 1
if tries == 6:
exit("You lost")
guess10 = input("Where are the headquarters of ALU?")
if alu(guess10):
Right += 1
else:
check(guess10)
tries += 1
if tries == 6:
exit("You lost")
| word_list = [2015, 'Fred Swaniker', 'Rwanda and Mauritius', 2, 'Dr, Gaidi Faraj', 'Sila Ogidi', 'Madagascar', 94, 8, 'Mauritius']
right = 0
tries = 0
def greet(name):
print('Hello ' + name + ' welcome to hangman and good luck!')
user_name = input('What is your name?')
greet(user_name)
def alu(guess):
if guess in word_list:
print('congrats!')
def check(guess):
if guess not in word_list:
print('Wrong')
return guess
guess1 = int(input('When was ALU founded?'))
if alu(guess1):
right += 1
else:
check(guess1)
tries += 1
guess2 = input('Who is the CEO of ALU')
if alu(guess2):
right += 1
else:
check(guess2)
tries += 1
guess3 = input('Where are ALU campuses?')
if alu(guess3):
right += 1
else:
check(guess3)
tries += 1
guess4 = int(input('How many campuses does ALU have?'))
if alu(guess4):
right += 1
else:
check(guess4)
tries += 1
guess5 = input("What is the name of ALU Rwanda's Dean?")
if alu(guess5):
right += 1
else:
check(guess5)
tries += 1
guess6 = input('Who is in charge of Student Life?')
if alu(guess6):
right += 1
else:
check(guess6)
tries += 1
if tries == 6:
exit('You lost')
guess7 = input('What is the name of our Lab?')
if alu(guess7):
right += 1
else:
check(guess7)
tries += 1
if tries == 6:
exit('You lost')
guess8 = int(input('How many students do we have in Year 2 CS?'))
if alu(guess8):
right += 1
else:
check(guess8)
tries += 1
if tries == 6:
exit('You lost')
guess9 = int(input('How many degrees does ALU offer?'))
if alu(guess9):
right += 1
else:
check(guess9)
tries += 1
if tries == 6:
exit('You lost')
guess10 = input('Where are the headquarters of ALU?')
if alu(guess10):
right += 1
else:
check(guess10)
tries += 1
if tries == 6:
exit('You lost') |
OS_MA_NFVO_IP = '192.168.1.197'
OS_USER_DOMAIN_NAME = 'Default'
OS_USERNAME = 'admin'
OS_PASSWORD = '0000'
OS_PROJECT_DOMAIN_NAME = 'Default'
OS_PROJECT_NAME = 'admin' | os_ma_nfvo_ip = '192.168.1.197'
os_user_domain_name = 'Default'
os_username = 'admin'
os_password = '0000'
os_project_domain_name = 'Default'
os_project_name = 'admin' |
class Solution:
def findDisappearedNumbers(self, nums: List[int]) -> List[int]:
if len(nums) < 1:
raise Exception("Invalid Array")
n = len(nums)
res = []
s = set()
for x in nums:
s.add(x)
for i in range(1, n + 1):
if i not in s:
res.append(i)
return res
| class Solution:
def find_disappeared_numbers(self, nums: List[int]) -> List[int]:
if len(nums) < 1:
raise exception('Invalid Array')
n = len(nums)
res = []
s = set()
for x in nums:
s.add(x)
for i in range(1, n + 1):
if i not in s:
res.append(i)
return res |
'''
03 - Multiple arguments
In the previous exercise, the square brackets around imag in the documentation showed us that the
imag argument is optional. But Python also uses a different way to tell users about arguments being
optional.
Have a look at the documentation of sorted() by typing help(sorted) in the IPython Shell.
You'll see that sorted() takes three arguments: iterable, key and reverse.
key=None means that if you don't specify the key argument, it will be None. reverse=False means
that if you don't specify the reverse argument, it will be False.
In this exercise, you'll only have to specify iterable and reverse, not key. The first input you
pass to sorted() will be matched to the iterable argument, but what about the second input? To tell
Python you want to specify reverse without changing anything about key, you can use =:
sorted(___, reverse = ___)
Two lists have been created for you on the right. Can you paste them together and sort them in
descending order?
Note: For now, we can understand an iterable as being any collection of objects, e.g. a List.
Instructions:
- Use + to merge the contents of first and second into a new list: full.
- Call sorted() on full and specify the reverse argument to be True. Save the sorted list as
full_sorted.
- Finish off by printing out full_sorted.
'''
# Create lists first and second
first = [11.25, 18.0, 20.0]
second = [10.75, 9.50]
# Paste together first and second: full
full = first + second
# Sort full in descending order: full_sorted
full_sorted = sorted(full, reverse=True)
# Print out full_sorted
print(full_sorted) | """
03 - Multiple arguments
In the previous exercise, the square brackets around imag in the documentation showed us that the
imag argument is optional. But Python also uses a different way to tell users about arguments being
optional.
Have a look at the documentation of sorted() by typing help(sorted) in the IPython Shell.
You'll see that sorted() takes three arguments: iterable, key and reverse.
key=None means that if you don't specify the key argument, it will be None. reverse=False means
that if you don't specify the reverse argument, it will be False.
In this exercise, you'll only have to specify iterable and reverse, not key. The first input you
pass to sorted() will be matched to the iterable argument, but what about the second input? To tell
Python you want to specify reverse without changing anything about key, you can use =:
sorted(___, reverse = ___)
Two lists have been created for you on the right. Can you paste them together and sort them in
descending order?
Note: For now, we can understand an iterable as being any collection of objects, e.g. a List.
Instructions:
- Use + to merge the contents of first and second into a new list: full.
- Call sorted() on full and specify the reverse argument to be True. Save the sorted list as
full_sorted.
- Finish off by printing out full_sorted.
"""
first = [11.25, 18.0, 20.0]
second = [10.75, 9.5]
full = first + second
full_sorted = sorted(full, reverse=True)
print(full_sorted) |
parameters = {}
genome = {}
genome_stats = {}
genome_test_stats = []
brain = {}
cortical_list = []
cortical_map = {}
intercortical_mapping = []
block_dic = {}
upstream_neurons = {}
memory_list = {}
activity_stats = {}
temp_neuron_list = []
original_genome_id = []
fire_list = []
termination_flag = False
variation_counter_actual = 0
exposure_counter_actual = 0
mnist_training = {}
mnist_testing = {}
top_10_utf_memory_neurons = {}
top_10_utf_neurons = {}
v1_members = []
prunning_candidates = set()
genome_id = ""
event_id = '_'
blueprint = ""
comprehension_queue = ''
working_directory = ''
connectome_path = ''
paths = {}
watchdog_queue = ''
exit_condition = False
fcl_queue = ''
proximity_queue = ''
last_ipu_activity = ''
last_alertness_trigger = ''
influxdb = ''
mongodb = ''
running_in_container = False
hardware = ''
gazebo = False
stimulation_data = {}
hw_controller_path = ''
hw_controller = None
opu_pub = None
router_address = None
burst_timer = 1
# rules = ""
brain_is_running = False
# live_mode_status can have modes of idle, learning, testing, tbd
live_mode_status = 'idle'
fcl_history = {}
brain_run_id = ""
burst_detection_list = {}
burst_count = 0
fire_candidate_list = {}
previous_fcl = {}
future_fcl = {}
labeled_image = []
training_neuron_list_utf = {}
training_neuron_list_img = {}
empty_fcl_counter = 0
neuron_mp_list = []
pain_flag = False
cumulative_neighbor_count = 0
time_neuron_update = ''
time_apply_plasticity_ext = ''
plasticity_time_total = None
plasticity_time_total_p1 = None
plasticity_dict = {}
tester_test_stats = {}
# Flags
flag_ready_to_inject_image = False
| parameters = {}
genome = {}
genome_stats = {}
genome_test_stats = []
brain = {}
cortical_list = []
cortical_map = {}
intercortical_mapping = []
block_dic = {}
upstream_neurons = {}
memory_list = {}
activity_stats = {}
temp_neuron_list = []
original_genome_id = []
fire_list = []
termination_flag = False
variation_counter_actual = 0
exposure_counter_actual = 0
mnist_training = {}
mnist_testing = {}
top_10_utf_memory_neurons = {}
top_10_utf_neurons = {}
v1_members = []
prunning_candidates = set()
genome_id = ''
event_id = '_'
blueprint = ''
comprehension_queue = ''
working_directory = ''
connectome_path = ''
paths = {}
watchdog_queue = ''
exit_condition = False
fcl_queue = ''
proximity_queue = ''
last_ipu_activity = ''
last_alertness_trigger = ''
influxdb = ''
mongodb = ''
running_in_container = False
hardware = ''
gazebo = False
stimulation_data = {}
hw_controller_path = ''
hw_controller = None
opu_pub = None
router_address = None
burst_timer = 1
brain_is_running = False
live_mode_status = 'idle'
fcl_history = {}
brain_run_id = ''
burst_detection_list = {}
burst_count = 0
fire_candidate_list = {}
previous_fcl = {}
future_fcl = {}
labeled_image = []
training_neuron_list_utf = {}
training_neuron_list_img = {}
empty_fcl_counter = 0
neuron_mp_list = []
pain_flag = False
cumulative_neighbor_count = 0
time_neuron_update = ''
time_apply_plasticity_ext = ''
plasticity_time_total = None
plasticity_time_total_p1 = None
plasticity_dict = {}
tester_test_stats = {}
flag_ready_to_inject_image = False |
# --------------
# Code starts here
class_1 = ['Geoffrey Hinton' , 'Andrew Ng' , 'Sebastian Raschka' , 'Yoshua Bengio']
class_2 = ['Hilary Mason' , 'Carla Gentry' , 'Corinna Cortes']
new_class = class_1 + class_2
print(new_class)
new_class.append('Peter Warden')
print(new_class)
del new_class[5]
print(new_class)
# Code ends here
# --------------
# Code starts here
courses = {'Math': 65 , 'English': 70 , 'History': 80 , 'French': 70 , 'Science': 60}
total = sum(courses.values())
print(total)
percentage = total/500*100
print(percentage)
# Code ends here
# --------------
# Code starts here
mathematics = { 'Geoffrey Hinton' : 78, 'Andrew Ng' : 95, 'Sebastian Raschka' : 65 ,
'Yoshua Benjio' : 50 , 'Hilary Mason' : 70 , 'Corinna Cortes' : 66 , 'Peter Warden' : 75}
max_marks_scored = max(mathematics, key=mathematics.get)
print(max_marks_scored)
topper = max_marks_scored
print(topper)
# Code ends here
# --------------
# Given string
topper = ' andrew ng'
# Code starts here
first_name = topper.split()[0]
print(first_name)
last_name = topper.split()[1]
print(last_name)
full_name = last_name +' '+ first_name
print(full_name)
certificate_name = full_name.upper()
print(certificate_name)
# Code ends here
| class_1 = ['Geoffrey Hinton', 'Andrew Ng', 'Sebastian Raschka', 'Yoshua Bengio']
class_2 = ['Hilary Mason', 'Carla Gentry', 'Corinna Cortes']
new_class = class_1 + class_2
print(new_class)
new_class.append('Peter Warden')
print(new_class)
del new_class[5]
print(new_class)
courses = {'Math': 65, 'English': 70, 'History': 80, 'French': 70, 'Science': 60}
total = sum(courses.values())
print(total)
percentage = total / 500 * 100
print(percentage)
mathematics = {'Geoffrey Hinton': 78, 'Andrew Ng': 95, 'Sebastian Raschka': 65, 'Yoshua Benjio': 50, 'Hilary Mason': 70, 'Corinna Cortes': 66, 'Peter Warden': 75}
max_marks_scored = max(mathematics, key=mathematics.get)
print(max_marks_scored)
topper = max_marks_scored
print(topper)
topper = ' andrew ng'
first_name = topper.split()[0]
print(first_name)
last_name = topper.split()[1]
print(last_name)
full_name = last_name + ' ' + first_name
print(full_name)
certificate_name = full_name.upper()
print(certificate_name) |
n = int(input().strip())
items = [
int(A_temp)
for A_temp
in input().strip().split(' ')
]
items_map = {}
result = None
for i, item in enumerate(items):
if item not in items_map:
items_map[item] = [i]
else:
items_map[item].append(i)
for _, item_indexes in items_map.items():
items_indexes_length = len(item_indexes)
if items_indexes_length > 1:
for i in range(items_indexes_length):
for j in range(i + 1, items_indexes_length):
diff = item_indexes[j] - item_indexes[i]
if result is None:
result = diff
elif diff < result:
result = diff
print(result if result else -1)
| n = int(input().strip())
items = [int(A_temp) for a_temp in input().strip().split(' ')]
items_map = {}
result = None
for (i, item) in enumerate(items):
if item not in items_map:
items_map[item] = [i]
else:
items_map[item].append(i)
for (_, item_indexes) in items_map.items():
items_indexes_length = len(item_indexes)
if items_indexes_length > 1:
for i in range(items_indexes_length):
for j in range(i + 1, items_indexes_length):
diff = item_indexes[j] - item_indexes[i]
if result is None:
result = diff
elif diff < result:
result = diff
print(result if result else -1) |
def compareMetaboliteDicts(d1, d2):
sorted_d1_keys = sorted(d1.keys())
sorted_d2_keys = sorted(d2.keys())
for i in range(len(sorted_d1_keys)):
if not compareMetabolites(sorted_d1_keys[i], sorted_d2_keys[i], naive=True):
return False
elif not d1[sorted_d1_keys[i]] == d2[sorted_d2_keys[i]]:
return False
else:
return True
def compareMetabolites(met1, met2, naive=False):
if isinstance(met1, set):
return compareReactions(list(met1), list(met2), naive)
if isinstance(met1, list):
if not isinstance(met2, list):
return False
elif len(met1) != len(met2):
return False
else:
for i in range(len(met1)):
if not compareMetabolites(met1[i], met2[i], naive):
return False
else:
return True
else:
if not True:
#can never be entered
pass
elif not met1._bound == met2._bound:
return False
elif not met1._constraint_sense == met2._constraint_sense:
return False
#elif not met1.annotation == met2.annotation:
# return False
elif not met1.charge == met2.charge:
return False
elif not met1.compartment == met2.compartment:
return False
elif not met1.name == met2.name:
return False
elif not met1.compartment == met2.compartment:
return False
#elif not met1.notes == met2.notes:
# return False
elif not naive:
if not compareReactions(met1._reaction, met2._reaction, naive=True):
return False
elif not compareModels(met1._model, met2._model, naive=True):
return False
else:
return True
else:
return True
def compareReactions(r1, r2, naive=False):
if isinstance(r1, set):
return compareReactions(list(r1), list(r2), naive)
if isinstance(r1, list):
if not isinstance(r2, list):
return False
elif len(r1) != len(r2):
return False
else:
for i in range(len(r1)):
if not compareReactions(r1[i], r2[i],naive):
return False
else:
return True
else:
if not True:
#can never be entered
pass
#elif not r1._compartments == r2._compartments:
# return False
#elif not r1._forward_variable == r2._forward_variable:
# return False
elif not r1._gene_reaction_rule == r2._gene_reaction_rule:
return False
elif not r1._id == r2._id:
return False
elif not r1._lower_bound == r2._lower_bound:
return False
#elif not r1._model == r2._model:
# return False
#elif not r1._reverse_variable == r2._reverse_variable:
# return False
elif not r1._upper_bound == r2._upper_bound:
return False
#elif not r1.annotation == r2.annotation:
# return False
elif not r1.name== r2.name:
return False
#elif not r1.notes == r2.notes:
# return False
elif not r1.subsystem == r2.subsystem:
return False
elif not r1.variable_kind == r2.variable_kind:
return False
elif not naive:
if not compareMetaboliteDicts(r1._metabolites, r2._metabolites):
return False
elif not compareGenes(r1._genes,r2._genes, naive=True):
return False
else:
return True
else:
return True
def compareGenes(g1, g2, naive=False):
if isinstance(g1, set):
return compareGenes(list(g1), list(g2), naive)
if isinstance(g1, list):
if not isinstance(g2, list):
return False
elif len(g1) != len(g2):
return False
else:
for i in range(len(g1)):
if not compareGenes(g1[i], g2[i], naive):
return False
else:
return True
else:
if not True:
#can never be entered
pass
elif not g1._functional == g2._functional:
return False
elif not g1._id == g2._id:
return False
#elif not g1._model == g2._model:
# return False
elif not g1.annotation == g2.annotation:
return False
elif not g1.name == g2.name:
return False
#elif not g1.notes == g2.notes:
# return False
elif not naive:
if not compareReactions(g1._reaction,g2._reaction, naive=True):
return False
else:
return True
else:
return True
def compareModels(m1, m2, naive=False):
if not True:
#can never be entered
pass
#elif not m1._compartments == m2._compartments:
# return False
#elif not m1._contexts == m2._contexts:
# return False
#elif not m1._solver == m2._solver:
# return False
elif not m1._id == m2._id:
return False
#elif not m1._trimmed == m2.trimmed:
# return False
#elif not m1._trimmed_genes == m2._trimmed_genes:
# return False
#elif not m1._trimmed_reactions == m2._trimmed_reactions:
# return False
#elif not m1.annotation == m2.annotation:
# return False
elif not m1.bounds == m2.bounds:
return False
elif not m1.name == m2.name:
return False
#elif not m1.notes == m2.notes:
# return False
#elif not m1.quadratic_component == m2.quadratic_component:
# return False
elif not naive:
if not compareGenes(m1.genes, m2.genes):
return False
elif not compareMetabolites(m1.metabolites, m2.metabolites):
return False
elif not compareReactions(m1.reactions,m2.reactions):
return False
else:
return True
else:
return True
| def compare_metabolite_dicts(d1, d2):
sorted_d1_keys = sorted(d1.keys())
sorted_d2_keys = sorted(d2.keys())
for i in range(len(sorted_d1_keys)):
if not compare_metabolites(sorted_d1_keys[i], sorted_d2_keys[i], naive=True):
return False
elif not d1[sorted_d1_keys[i]] == d2[sorted_d2_keys[i]]:
return False
else:
return True
def compare_metabolites(met1, met2, naive=False):
if isinstance(met1, set):
return compare_reactions(list(met1), list(met2), naive)
if isinstance(met1, list):
if not isinstance(met2, list):
return False
elif len(met1) != len(met2):
return False
else:
for i in range(len(met1)):
if not compare_metabolites(met1[i], met2[i], naive):
return False
else:
return True
elif not True:
pass
elif not met1._bound == met2._bound:
return False
elif not met1._constraint_sense == met2._constraint_sense:
return False
elif not met1.charge == met2.charge:
return False
elif not met1.compartment == met2.compartment:
return False
elif not met1.name == met2.name:
return False
elif not met1.compartment == met2.compartment:
return False
elif not naive:
if not compare_reactions(met1._reaction, met2._reaction, naive=True):
return False
elif not compare_models(met1._model, met2._model, naive=True):
return False
else:
return True
else:
return True
def compare_reactions(r1, r2, naive=False):
if isinstance(r1, set):
return compare_reactions(list(r1), list(r2), naive)
if isinstance(r1, list):
if not isinstance(r2, list):
return False
elif len(r1) != len(r2):
return False
else:
for i in range(len(r1)):
if not compare_reactions(r1[i], r2[i], naive):
return False
else:
return True
elif not True:
pass
elif not r1._gene_reaction_rule == r2._gene_reaction_rule:
return False
elif not r1._id == r2._id:
return False
elif not r1._lower_bound == r2._lower_bound:
return False
elif not r1._upper_bound == r2._upper_bound:
return False
elif not r1.name == r2.name:
return False
elif not r1.subsystem == r2.subsystem:
return False
elif not r1.variable_kind == r2.variable_kind:
return False
elif not naive:
if not compare_metabolite_dicts(r1._metabolites, r2._metabolites):
return False
elif not compare_genes(r1._genes, r2._genes, naive=True):
return False
else:
return True
else:
return True
def compare_genes(g1, g2, naive=False):
if isinstance(g1, set):
return compare_genes(list(g1), list(g2), naive)
if isinstance(g1, list):
if not isinstance(g2, list):
return False
elif len(g1) != len(g2):
return False
else:
for i in range(len(g1)):
if not compare_genes(g1[i], g2[i], naive):
return False
else:
return True
elif not True:
pass
elif not g1._functional == g2._functional:
return False
elif not g1._id == g2._id:
return False
elif not g1.annotation == g2.annotation:
return False
elif not g1.name == g2.name:
return False
elif not naive:
if not compare_reactions(g1._reaction, g2._reaction, naive=True):
return False
else:
return True
else:
return True
def compare_models(m1, m2, naive=False):
if not True:
pass
elif not m1._id == m2._id:
return False
elif not m1.bounds == m2.bounds:
return False
elif not m1.name == m2.name:
return False
elif not naive:
if not compare_genes(m1.genes, m2.genes):
return False
elif not compare_metabolites(m1.metabolites, m2.metabolites):
return False
elif not compare_reactions(m1.reactions, m2.reactions):
return False
else:
return True
else:
return True |
problem_type = "segmentation"
dataset_name = "synthia_rand_cityscapes"
dataset_name2 = None
perc_mb2 = None
model_name = "resnetFCN"
freeze_layers_from = None
show_model = False
load_imageNet = True
load_pretrained = False
weights_file = "weights.hdf5"
train_model = True
test_model = True
pred_model = False
debug = True
debug_images_train = 50
debug_images_valid = 50
debug_images_test = 50
debug_n_epochs = 2
batch_size_train = 2
batch_size_valid = 2
batch_size_test = 2
crop_size_train = (512, 512)
crop_size_valid = None
crop_size_test = None
resize_train = None
resize_valid = None
resize_test = None
shuffle_train = True
shuffle_valid = False
shuffle_test = False
seed_train = 1924
seed_valid = 1924
seed_test = 1924
optimizer = "rmsprop"
learning_rate = 0.0001
weight_decay = 0.0
n_epochs = 1000
save_results_enabled = True
save_results_nsamples = 5
save_results_batch_size = 5
save_results_n_legend_rows = 1
earlyStopping_enabled = True
earlyStopping_monitor = "val_jaccard"
earlyStopping_mode = "max"
earlyStopping_patience = 50
earlyStopping_verbose = 0
checkpoint_enabled = True
checkpoint_monitor = "val_jaccard"
checkpoint_mode = "max"
checkpoint_save_best_only = True
checkpoint_save_weights_only = True
checkpoint_verbose = 0
plotHist_enabled = True
plotHist_verbose = 0
LRScheduler_enabled = True
LRScheduler_batch_epoch = "batch"
LRScheduler_type = "poly"
LRScheduler_M = 75000
LRScheduler_decay = 0.1
LRScheduler_S = 10000
LRScheduler_power = 0.9
TensorBoard_enabled = True
TensorBoard_histogram_freq = 1
TensorBoard_write_graph = True
TensorBoard_write_images = False
TensorBoard_logs_folder = None
norm_imageNet_preprocess = True
norm_fit_dataset = False
norm_rescale = 1
norm_featurewise_center = False
norm_featurewise_std_normalization = False
norm_samplewise_center = False
norm_samplewise_std_normalization = False
norm_gcn = False
norm_zca_whitening = False
cb_weights_method = None
da_rotation_range = 0
da_width_shift_range = 0.0
da_height_shift_range = 0.0
da_shear_range = 0.0
da_zoom_range = 0.5
da_channel_shift_range = 0.0
da_fill_mode = "constant"
da_cval = 0.0
da_horizontal_flip = True
da_vertical_flip = False
da_spline_warp = False
da_warp_sigma = 10
da_warp_grid_size = 3
da_save_to_dir = False | problem_type = 'segmentation'
dataset_name = 'synthia_rand_cityscapes'
dataset_name2 = None
perc_mb2 = None
model_name = 'resnetFCN'
freeze_layers_from = None
show_model = False
load_image_net = True
load_pretrained = False
weights_file = 'weights.hdf5'
train_model = True
test_model = True
pred_model = False
debug = True
debug_images_train = 50
debug_images_valid = 50
debug_images_test = 50
debug_n_epochs = 2
batch_size_train = 2
batch_size_valid = 2
batch_size_test = 2
crop_size_train = (512, 512)
crop_size_valid = None
crop_size_test = None
resize_train = None
resize_valid = None
resize_test = None
shuffle_train = True
shuffle_valid = False
shuffle_test = False
seed_train = 1924
seed_valid = 1924
seed_test = 1924
optimizer = 'rmsprop'
learning_rate = 0.0001
weight_decay = 0.0
n_epochs = 1000
save_results_enabled = True
save_results_nsamples = 5
save_results_batch_size = 5
save_results_n_legend_rows = 1
early_stopping_enabled = True
early_stopping_monitor = 'val_jaccard'
early_stopping_mode = 'max'
early_stopping_patience = 50
early_stopping_verbose = 0
checkpoint_enabled = True
checkpoint_monitor = 'val_jaccard'
checkpoint_mode = 'max'
checkpoint_save_best_only = True
checkpoint_save_weights_only = True
checkpoint_verbose = 0
plot_hist_enabled = True
plot_hist_verbose = 0
lr_scheduler_enabled = True
lr_scheduler_batch_epoch = 'batch'
lr_scheduler_type = 'poly'
lr_scheduler_m = 75000
lr_scheduler_decay = 0.1
lr_scheduler_s = 10000
lr_scheduler_power = 0.9
tensor_board_enabled = True
tensor_board_histogram_freq = 1
tensor_board_write_graph = True
tensor_board_write_images = False
tensor_board_logs_folder = None
norm_image_net_preprocess = True
norm_fit_dataset = False
norm_rescale = 1
norm_featurewise_center = False
norm_featurewise_std_normalization = False
norm_samplewise_center = False
norm_samplewise_std_normalization = False
norm_gcn = False
norm_zca_whitening = False
cb_weights_method = None
da_rotation_range = 0
da_width_shift_range = 0.0
da_height_shift_range = 0.0
da_shear_range = 0.0
da_zoom_range = 0.5
da_channel_shift_range = 0.0
da_fill_mode = 'constant'
da_cval = 0.0
da_horizontal_flip = True
da_vertical_flip = False
da_spline_warp = False
da_warp_sigma = 10
da_warp_grid_size = 3
da_save_to_dir = False |
{
"targets": [
{
"target_name": "cclust",
"sources": [ "./src/heatmap_clustering_js_module.cpp" ],
'dependencies': ['bonsaiclust']
},
{
'target_name': 'bonsaiclust',
'type': 'static_library',
'sources': [ 'src/cluster.c' ],
'cflags': ['-fPIC', '-I', '-pedantic', '-Wall']
}
]
}
| {'targets': [{'target_name': 'cclust', 'sources': ['./src/heatmap_clustering_js_module.cpp'], 'dependencies': ['bonsaiclust']}, {'target_name': 'bonsaiclust', 'type': 'static_library', 'sources': ['src/cluster.c'], 'cflags': ['-fPIC', '-I', '-pedantic', '-Wall']}]} |
#!/usr/bin/env python3.8
table="".maketrans("0123456789","\N{Devanagari digit zero}\N{Devanagari digit one}"
"\N{Devanagari digit two}\N{Devanagari digit three}"
"\N{Devanagari digit four}\N{Devanagari digit five}"
"\N{Devanagari digit six}\N{Devanagari digit seven}"
"\N{Devanagari digit eight}\N{Devanagari digit nine}")
print("0123456789".translate(table)) | table = ''.maketrans('0123456789', '०१२३४५६७८९')
print('0123456789'.translate(table)) |
__author__ = 'Riccardo Frigerio'
'''
Oggetto HOST
Attributi:
- mac_address: indirizzo MAC
- port: porta a cui e' collegato
- dpid: switch a cui e' collegato
'''
class Host(object):
def __init__(self, mac_address, port, dpid):
self.mac_address = mac_address
self.port = port
self.dpid = dpid
| __author__ = 'Riccardo Frigerio'
"\nOggetto HOST\nAttributi:\n- mac_address: indirizzo MAC\n- port: porta a cui e' collegato\n- dpid: switch a cui e' collegato\n"
class Host(object):
def __init__(self, mac_address, port, dpid):
self.mac_address = mac_address
self.port = port
self.dpid = dpid |
# nested loops = The "inner loop" will finish all of it's iterations before
# finishing one iteration of the "outer loop"
rows = int(input("How many rows?: "))
columns = int(input("How many columns?: "))
symbol = input("Enter a symbol to use: ")
#symbol = int(input("Enter a symbol to use: "))
for i in range(rows):
for j in range(columns):
print(symbol, end="")
print() | rows = int(input('How many rows?: '))
columns = int(input('How many columns?: '))
symbol = input('Enter a symbol to use: ')
for i in range(rows):
for j in range(columns):
print(symbol, end='')
print() |
_base_ = [
'../_base_/models/retinanet_r50_fpn.py',
'../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py'
]
cudnn_benchmark = True
norm_cfg = dict(type='BN', requires_grad=True)
checkpoint = 'https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k_20220119-5b4887a0.pth' # noqa
model = dict(
backbone=dict(
_delete_=True,
type='EfficientNet',
arch='b3',
drop_path_rate=0.2,
out_indices=(3, 4, 5),
frozen_stages=0,
norm_cfg=dict(
type='SyncBN', requires_grad=True, eps=1e-3, momentum=0.01),
norm_eval=False,
init_cfg=dict(
type='Pretrained', prefix='backbone', checkpoint=checkpoint)),
neck=dict(
in_channels=[48, 136, 384],
start_level=0,
out_channels=256,
relu_before_extra_convs=True,
no_norm_on_lateral=True,
norm_cfg=norm_cfg),
bbox_head=dict(type='RetinaSepBNHead', num_ins=5, norm_cfg=norm_cfg),
# training and testing settings
train_cfg=dict(assigner=dict(neg_iou_thr=0.5)))
# dataset settings
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
img_size = (896, 896)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations', with_bbox=True),
dict(
type='Resize',
img_scale=img_size,
ratio_range=(0.8, 1.2),
keep_ratio=True),
dict(type='RandomCrop', crop_size=img_size),
dict(type='RandomFlip', flip_ratio=0.5),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size=img_size),
dict(type='DefaultFormatBundle'),
dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']),
]
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=img_size,
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size=img_size),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img']),
])
]
data = dict(
samples_per_gpu=4,
workers_per_gpu=4,
train=dict(pipeline=train_pipeline),
val=dict(pipeline=test_pipeline),
test=dict(pipeline=test_pipeline))
# optimizer
optimizer_config = dict(grad_clip=None)
optimizer = dict(
type='SGD',
lr=0.04,
momentum=0.9,
weight_decay=0.0001,
paramwise_cfg=dict(norm_decay_mult=0, bypass_duplicate=True))
# learning policy
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=1000,
warmup_ratio=0.1,
step=[8, 11])
# runtime settings
runner = dict(type='EpochBasedRunner', max_epochs=12)
# NOTE: This variable is for automatically scaling LR,
# USER SHOULD NOT CHANGE THIS VALUE.
default_batch_size = 32 # (8 GPUs) x (4 samples per GPU)
| _base_ = ['../_base_/models/retinanet_r50_fpn.py', '../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py']
cudnn_benchmark = True
norm_cfg = dict(type='BN', requires_grad=True)
checkpoint = 'https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k_20220119-5b4887a0.pth'
model = dict(backbone=dict(_delete_=True, type='EfficientNet', arch='b3', drop_path_rate=0.2, out_indices=(3, 4, 5), frozen_stages=0, norm_cfg=dict(type='SyncBN', requires_grad=True, eps=0.001, momentum=0.01), norm_eval=False, init_cfg=dict(type='Pretrained', prefix='backbone', checkpoint=checkpoint)), neck=dict(in_channels=[48, 136, 384], start_level=0, out_channels=256, relu_before_extra_convs=True, no_norm_on_lateral=True, norm_cfg=norm_cfg), bbox_head=dict(type='RetinaSepBNHead', num_ins=5, norm_cfg=norm_cfg), train_cfg=dict(assigner=dict(neg_iou_thr=0.5)))
img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
img_size = (896, 896)
train_pipeline = [dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict(type='Resize', img_scale=img_size, ratio_range=(0.8, 1.2), keep_ratio=True), dict(type='RandomCrop', crop_size=img_size), dict(type='RandomFlip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size=img_size), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])]
test_pipeline = [dict(type='LoadImageFromFile'), dict(type='MultiScaleFlipAug', img_scale=img_size, flip=False, transforms=[dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size=img_size), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]
data = dict(samples_per_gpu=4, workers_per_gpu=4, train=dict(pipeline=train_pipeline), val=dict(pipeline=test_pipeline), test=dict(pipeline=test_pipeline))
optimizer_config = dict(grad_clip=None)
optimizer = dict(type='SGD', lr=0.04, momentum=0.9, weight_decay=0.0001, paramwise_cfg=dict(norm_decay_mult=0, bypass_duplicate=True))
lr_config = dict(policy='step', warmup='linear', warmup_iters=1000, warmup_ratio=0.1, step=[8, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12)
default_batch_size = 32 |
'''
1. Write a Python program to access a specific item in a singly linked list using index value.
2. Write a Python program to set a new value of an item in a singly linked list using index value.
3. Write a Python program to delete the first item from a singly linked list.
'''
| """
1. Write a Python program to access a specific item in a singly linked list using index value.
2. Write a Python program to set a new value of an item in a singly linked list using index value.
3. Write a Python program to delete the first item from a singly linked list.
""" |
class Node:
left = right = None
def __init__(self, data):
self.data = data
def inorder(root):
if root is None:
return
inorder(root.left)
print(root.data, end=' ')
inorder(root.right)
def insert(root, key):
if root is None:
return Node(key)
if key < root.data:
root.left = insert(root.left, key)
else:
root.right = insert(root.right, key)
return root
def constructBST(keys):
root = None
for key in keys:
root = insert(root, key)
return root
if __name__ == '__main__':
keys = [15, 10, 20, 8, 12, 16, 25]
root = constructBST(keys)
inorder(root) | class Node:
left = right = None
def __init__(self, data):
self.data = data
def inorder(root):
if root is None:
return
inorder(root.left)
print(root.data, end=' ')
inorder(root.right)
def insert(root, key):
if root is None:
return node(key)
if key < root.data:
root.left = insert(root.left, key)
else:
root.right = insert(root.right, key)
return root
def construct_bst(keys):
root = None
for key in keys:
root = insert(root, key)
return root
if __name__ == '__main__':
keys = [15, 10, 20, 8, 12, 16, 25]
root = construct_bst(keys)
inorder(root) |
def something() -> None:
print("Andrew says: `something`.")
| def something() -> None:
print('Andrew says: `something`.') |
blacklist=set()
def get_blacklist():
return blacklist
def add_to_blacklist(jti):
return blacklist.add(jti)
| blacklist = set()
def get_blacklist():
return blacklist
def add_to_blacklist(jti):
return blacklist.add(jti) |
#unit
#mydict.py
class Dict(dict):
def __init__(self,**kw):
super(Dict,self).__init__(**kw)
def __getattr__(self,key):
try:
return self[key]
except KeyError:
raise AttributeError(r"'Dict' object han no attribute'%s'" %key)
def __setattr__(self,key,value):
self[key]=value
| class Dict(dict):
def __init__(self, **kw):
super(Dict, self).__init__(**kw)
def __getattr__(self, key):
try:
return self[key]
except KeyError:
raise attribute_error("'Dict' object han no attribute'%s'" % key)
def __setattr__(self, key, value):
self[key] = value |
#
# This is Seisflows
#
# See LICENCE file
#
###############################################################################
raise NotImplementedError
| raise NotImplementedError |
#Integer division
#You have a shop selling buns for $2.40 each. A customer comes in with $15, and would like to buy as many buns as possible.
#Complete the code to calculate how many buns the customer can afford.
#Note: Your customer won't be happy if you try to sell them part of a bun.
#Print only the result, any other text in the output will cause the checker to fail.
bun_price = 2.40
money = 15
print( money // bun_price ) | bun_price = 2.4
money = 15
print(money // bun_price) |
# An algorithm to reconstruct the queue.
# Suppose you have a random list of people standing in a queue.
# Each person is described by a pair of integers (h,k), where h is the height of the person and k is the number of people in front of this person who have a height greater than or equal to h.
class Solution:
def reconstructQueue(self, people: List[List[int]]) -> List[List[int]]:
people = sorted(people, key = lambda x: (-x[0], x[1]))
ans = []
for pep in people:
ans.insert(pep[1], pep)
return ans
| class Solution:
def reconstruct_queue(self, people: List[List[int]]) -> List[List[int]]:
people = sorted(people, key=lambda x: (-x[0], x[1]))
ans = []
for pep in people:
ans.insert(pep[1], pep)
return ans |
# statements that used at the start of defenition or in statements without columns
defenition_statements = {
"DROP": "DROP",
"CREATE": "CREATE",
"TABLE": "TABLE",
"DATABASE": "DATABASE",
"SCHEMA": "SCHEMA",
"ALTER": "ALTER",
"TYPE": "TYPE",
"DOMAIN": "DOMAIN",
"REPLACE": "REPLACE",
"OR": "OR",
"CLUSTERED": "CLUSTERED",
"SEQUENCE": "SEQUENCE",
"TABLESPACE": "TABLESPACE",
}
common_statements = {
"INDEX": "INDEX",
"REFERENCES": "REFERENCES",
"KEY": "KEY",
"ADD": "ADD",
"AS": "AS",
"CLONE": "CLONE",
"DEFERRABLE": "DEFERRABLE",
"INITIALLY": "INITIALLY",
"IF": "IF",
"NOT": "NOT",
"EXISTS": "EXISTS",
"ON": "ON",
"FOR": "FOR",
"ENCRYPT": "ENCRYPT",
"SALT": "SALT",
"NO": "NO",
"USING": "USING",
# bigquery
"OPTIONS": "OPTIONS",
}
columns_defenition = {
"DELETE": "DELETE",
"UPDATE": "UPDATE",
"NULL": "NULL",
"ARRAY": "ARRAY",
",": "COMMA",
"DEFAULT": "DEFAULT",
"COLLATE": "COLLATE",
"ENFORCED": "ENFORCED",
"ENCODE": "ENCODE",
"GENERATED": "GENERATED",
"COMMENT": "COMMENT",
}
first_liners = {
"LIKE": "LIKE",
"CONSTRAINT": "CONSTRAINT",
"FOREIGN": "FOREIGN",
"PRIMARY": "PRIMARY",
"UNIQUE": "UNIQUE",
"CHECK": "CHECK",
"WITH": "WITH",
}
common_statements.update(first_liners)
defenition_statements.update(common_statements)
after_columns_tokens = {
"PARTITIONED": "PARTITIONED",
"PARTITION": "PARTITION",
"BY": "BY",
# hql
"INTO": "INTO",
"STORED": "STORED",
"LOCATION": "LOCATION",
"ROW": "ROW",
"FORMAT": "FORMAT",
"TERMINATED": "TERMINATED",
"COLLECTION": "COLLECTION",
"ITEMS": "ITEMS",
"MAP": "MAP",
"KEYS": "KEYS",
"SERDE": "SERDE",
"CLUSTER": "CLUSTER",
"SERDEPROPERTIES": "SERDEPROPERTIES",
"TBLPROPERTIES": "TBLPROPERTIES",
"SKEWED": "SKEWED",
# oracle
"STORAGE": "STORAGE",
"TABLESPACE": "TABLESPACE",
# mssql
"TEXTIMAGE_ON": "TEXTIMAGE_ON",
}
sequence_reserved = {
"INCREMENT": "INCREMENT",
"START": "START",
"MINVALUE": "MINVALUE",
"MAXVALUE": "MAXVALUE",
"CACHE": "CACHE",
"NO": "NO",
}
tokens = tuple(
set(
["ID", "DOT", "STRING", "DQ_STRING", "LP", "RP", "LT", "RT", "COMMAT"]
+ list(defenition_statements.values())
+ list(common_statements.values())
+ list(columns_defenition.values())
+ list(sequence_reserved.values())
+ list(after_columns_tokens.values())
)
)
symbol_tokens = {
")": "RP",
"(": "LP",
}
symbol_tokens_no_check = {"<": "LT", ">": "RT"}
| defenition_statements = {'DROP': 'DROP', 'CREATE': 'CREATE', 'TABLE': 'TABLE', 'DATABASE': 'DATABASE', 'SCHEMA': 'SCHEMA', 'ALTER': 'ALTER', 'TYPE': 'TYPE', 'DOMAIN': 'DOMAIN', 'REPLACE': 'REPLACE', 'OR': 'OR', 'CLUSTERED': 'CLUSTERED', 'SEQUENCE': 'SEQUENCE', 'TABLESPACE': 'TABLESPACE'}
common_statements = {'INDEX': 'INDEX', 'REFERENCES': 'REFERENCES', 'KEY': 'KEY', 'ADD': 'ADD', 'AS': 'AS', 'CLONE': 'CLONE', 'DEFERRABLE': 'DEFERRABLE', 'INITIALLY': 'INITIALLY', 'IF': 'IF', 'NOT': 'NOT', 'EXISTS': 'EXISTS', 'ON': 'ON', 'FOR': 'FOR', 'ENCRYPT': 'ENCRYPT', 'SALT': 'SALT', 'NO': 'NO', 'USING': 'USING', 'OPTIONS': 'OPTIONS'}
columns_defenition = {'DELETE': 'DELETE', 'UPDATE': 'UPDATE', 'NULL': 'NULL', 'ARRAY': 'ARRAY', ',': 'COMMA', 'DEFAULT': 'DEFAULT', 'COLLATE': 'COLLATE', 'ENFORCED': 'ENFORCED', 'ENCODE': 'ENCODE', 'GENERATED': 'GENERATED', 'COMMENT': 'COMMENT'}
first_liners = {'LIKE': 'LIKE', 'CONSTRAINT': 'CONSTRAINT', 'FOREIGN': 'FOREIGN', 'PRIMARY': 'PRIMARY', 'UNIQUE': 'UNIQUE', 'CHECK': 'CHECK', 'WITH': 'WITH'}
common_statements.update(first_liners)
defenition_statements.update(common_statements)
after_columns_tokens = {'PARTITIONED': 'PARTITIONED', 'PARTITION': 'PARTITION', 'BY': 'BY', 'INTO': 'INTO', 'STORED': 'STORED', 'LOCATION': 'LOCATION', 'ROW': 'ROW', 'FORMAT': 'FORMAT', 'TERMINATED': 'TERMINATED', 'COLLECTION': 'COLLECTION', 'ITEMS': 'ITEMS', 'MAP': 'MAP', 'KEYS': 'KEYS', 'SERDE': 'SERDE', 'CLUSTER': 'CLUSTER', 'SERDEPROPERTIES': 'SERDEPROPERTIES', 'TBLPROPERTIES': 'TBLPROPERTIES', 'SKEWED': 'SKEWED', 'STORAGE': 'STORAGE', 'TABLESPACE': 'TABLESPACE', 'TEXTIMAGE_ON': 'TEXTIMAGE_ON'}
sequence_reserved = {'INCREMENT': 'INCREMENT', 'START': 'START', 'MINVALUE': 'MINVALUE', 'MAXVALUE': 'MAXVALUE', 'CACHE': 'CACHE', 'NO': 'NO'}
tokens = tuple(set(['ID', 'DOT', 'STRING', 'DQ_STRING', 'LP', 'RP', 'LT', 'RT', 'COMMAT'] + list(defenition_statements.values()) + list(common_statements.values()) + list(columns_defenition.values()) + list(sequence_reserved.values()) + list(after_columns_tokens.values())))
symbol_tokens = {')': 'RP', '(': 'LP'}
symbol_tokens_no_check = {'<': 'LT', '>': 'RT'} |
def kmp(P, T):
# Compute the start position (number of chars) of the longest suffix that matches a prefix,
# and store them into list K, the first element of K is set to be -1, the second
#
K = [] # K[t] store the value that when mismatch happens at t, should move Pattern P K[t] characters ahead
t = -1 # K's length is len(P) + 1, the first element is set to be -1, corresponding to no elements in P.
K.append(t) # Add the first element, keep t = -1.
for k in range(1, len(P) + 1):
# traverse all the elemtn in P, calculate the corresponding value for each element.
while(t >= 0 and P[t] != P[k - 1]): # if t=-1, then let t = 0, if t>=0 and current suffix doesn't match, then try a shorter suffix
t = K[t]
t = t + 1 # If it matches, then the matching position should be one character ahead.
K.append(t) # record the matching postion for k
print(K)
# Match the String T with P
m = 0 # Record the current matching position in P when compared with T
for i in range(0, len(T)): # traverse T one-by-one
while (m >= 0 and P[m] != T[i]): # if mismatch happens at position m, move P forward with K[m] characters and restart comparison
m = K[m]
m = m + 1 # if position m matches, move P forward to next position
if m == len(P): # if m is already the end of K (or P), the a fully match is found. Continue comparison by move P forward K[m] characters
print (i - m + 1, i)
m = K[m]
if __name__ == "__main__":
kmp('abcbabca', 'abcbabcabcbabcbabcbabcabcbabcbabca')
kmp('abab', 'ababcabababc')
| def kmp(P, T):
k = []
t = -1
K.append(t)
for k in range(1, len(P) + 1):
while t >= 0 and P[t] != P[k - 1]:
t = K[t]
t = t + 1
K.append(t)
print(K)
m = 0
for i in range(0, len(T)):
while m >= 0 and P[m] != T[i]:
m = K[m]
m = m + 1
if m == len(P):
print(i - m + 1, i)
m = K[m]
if __name__ == '__main__':
kmp('abcbabca', 'abcbabcabcbabcbabcbabcabcbabcbabca')
kmp('abab', 'ababcabababc') |
class _FuncStorage:
def __init__(self):
self._function_map = {}
def insert_function(self, name, function):
self._function_map[name] = function
def get_all_functions(self):
return self._function_map
| class _Funcstorage:
def __init__(self):
self._function_map = {}
def insert_function(self, name, function):
self._function_map[name] = function
def get_all_functions(self):
return self._function_map |
A=int(input("dame int"))
B=int(input("dame int"))
if(A>B):
print("A es mayor")
else:
print("B es mayor")
| a = int(input('dame int'))
b = int(input('dame int'))
if A > B:
print('A es mayor')
else:
print('B es mayor') |
# !/usr/bin/env python3
# Author: C.K
# Email: [email protected]
# DateTime:2021-03-15 00:07:14
# Description:
class Solution:
def threeSum(self, nums: List[int]) -> List[List[int]]:
result = set()
for i in range(0, len(nums) - 1):
# Reduce the problem to two sum(0)
two_sum = -nums[i]
cache = set()
for num in nums[i + 1:]:
remaining = two_sum - num
if remaining in cache:
#sorting to create unique tuples
triplet = tuple(sorted([nums[i], remaining, num]))
# using tuple in a set will eliminate duplicates combinations
result.add(triplet)
else:
cache.add(num)
return result
if __name__ == "__main__":
pass
| class Solution:
def three_sum(self, nums: List[int]) -> List[List[int]]:
result = set()
for i in range(0, len(nums) - 1):
two_sum = -nums[i]
cache = set()
for num in nums[i + 1:]:
remaining = two_sum - num
if remaining in cache:
triplet = tuple(sorted([nums[i], remaining, num]))
result.add(triplet)
else:
cache.add(num)
return result
if __name__ == '__main__':
pass |
bluelabs_format_hints = {
'field-delimiter': ',',
'record-terminator': "\n",
'compression': 'GZIP',
'quoting': None,
'quotechar': '"',
'doublequote': False,
'escape': '\\',
'encoding': 'UTF8',
'dateformat': 'YYYY-MM-DD',
'timeonlyformat': 'HH24:MI:SS',
'datetimeformattz': 'YYYY-MM-DD HH:MI:SSOF',
'datetimeformat': 'YYYY-MM-DD HH24:MI:SS',
'header-row': False,
}
csv_format_hints = {
'field-delimiter': ',',
'record-terminator': "\n",
'compression': 'GZIP',
'quoting': 'minimal',
'quotechar': '"',
'doublequote': True,
'escape': None,
'encoding': 'UTF8',
'dateformat': 'MM/DD/YY',
'timeonlyformat': 'HH24:MI:SS',
'datetimeformattz': 'MM/DD/YY HH24:MI',
'datetimeformat': 'MM/DD/YY HH24:MI',
'header-row': True,
}
vertica_format_hints = {
'field-delimiter': '\001',
'record-terminator': '\002',
'compression': None,
'quoting': None,
'quotechar': '"',
'doublequote': False,
'escape': None,
'encoding': 'UTF8',
'dateformat': 'YYYY-MM-DD',
'timeonlyformat': 'HH24:MI:SS',
'datetimeformat': 'YYYY-MM-DD HH:MI:SS',
'datetimeformattz': 'YYYY-MM-DD HH:MI:SSOF',
'header-row': False,
}
| bluelabs_format_hints = {'field-delimiter': ',', 'record-terminator': '\n', 'compression': 'GZIP', 'quoting': None, 'quotechar': '"', 'doublequote': False, 'escape': '\\', 'encoding': 'UTF8', 'dateformat': 'YYYY-MM-DD', 'timeonlyformat': 'HH24:MI:SS', 'datetimeformattz': 'YYYY-MM-DD HH:MI:SSOF', 'datetimeformat': 'YYYY-MM-DD HH24:MI:SS', 'header-row': False}
csv_format_hints = {'field-delimiter': ',', 'record-terminator': '\n', 'compression': 'GZIP', 'quoting': 'minimal', 'quotechar': '"', 'doublequote': True, 'escape': None, 'encoding': 'UTF8', 'dateformat': 'MM/DD/YY', 'timeonlyformat': 'HH24:MI:SS', 'datetimeformattz': 'MM/DD/YY HH24:MI', 'datetimeformat': 'MM/DD/YY HH24:MI', 'header-row': True}
vertica_format_hints = {'field-delimiter': '\x01', 'record-terminator': '\x02', 'compression': None, 'quoting': None, 'quotechar': '"', 'doublequote': False, 'escape': None, 'encoding': 'UTF8', 'dateformat': 'YYYY-MM-DD', 'timeonlyformat': 'HH24:MI:SS', 'datetimeformat': 'YYYY-MM-DD HH:MI:SS', 'datetimeformattz': 'YYYY-MM-DD HH:MI:SSOF', 'header-row': False} |
# FROM THE OP PAPER-ISH
MINI_BATCH_SIZE = 32
MEMORY_SIZE = 10**6
BUFFER_SIZE = 100
LHIST = 4
GAMMA = 0.99
UPDATE_FREQ_ONlINE = 4
UPDATE_TARGET = 2500 # This was 10**4 but is measured in actor steps, so it's divided update_freq_online
TEST_FREQ = 5*10**4 # Measure in updates
TEST_STEPS = 10**4
LEARNING_RATE = 0.00025
G_MOMENTUM = 0.95
EPSILON_INIT = 1.0
EPSILON_FINAL = 0.1
EPSILON_TEST = 0.05
EPSILON_LIFE = 10**6
REPLAY_START = 5*10**4
NO_OP_MAX = 30
UPDATES = 5*10**6
CLIP_REWARD = 1.0
CLIP_ERROR = 1.0
# MISC
PLAY_STEPS = 3000
BUFFER_SAMPLES = 20
CROP = (0, -1)
FRAMESIZE = [84,84]
FRAMESIZETP = (84,84)
#DROPS = [0.0,0.15,0.1,0.0]
DROPS = [0.0, 0.0, 0.0, 0.0]
Games = ['air_raid', 'alien', 'amidar', 'assault', 'asterix', 'asteroids', 'atlantis',
'bank_heist', 'battle_zone', 'beam_rider', 'bowling', 'boxing', 'breakout', 'carnival',
'centipede', 'chopper_command', 'crazy_climber', 'demon_attack', 'double_dunk',
'enduro', 'fishing_derby', 'freeway', 'frostbite', 'gopher', 'gravitar',
'hero', 'ice_hockey', 'jamesbond', 'kangaroo', 'krull', 'kung_fu_master',
'montezuma_revenge', 'ms_pacman', 'name_this_game', 'pong',
'private_eye', 'qbert', 'riverraid', 'road_runner', 'robotank', 'seaquest',
'space_invaders', 'star_gunner', 'tennis', 'time_pilot', 'tutankham', 'up_n_down',
'venture', 'video_pinball', 'wizard_of_wor', 'zaxxon']
GamesExtras = ['defender','phoenix','berzerk','skiing','yars_revenge','solaris','pitfall',]
ACTION_MEANING = {
0: "NOOP",
1: "FIRE",
2: "UP",
3: "RIGHT",
4: "LEFT",
5: "DOWN",
6: "UPRIGHT",
7: "UPLEFT",
8: "DOWNRIGHT",
9: "DOWNLEFT",
10: "UPFIRE",
11: "RIGHTFIRE",
12: "LEFTFIRE",
13: "DOWNFIRE",
14: "UPRIGHTFIRE",
15: "UPLEFTFIRE",
16: "DOWNRIGHTFIRE",
17: "DOWNLEFTFIRE",
} | mini_batch_size = 32
memory_size = 10 ** 6
buffer_size = 100
lhist = 4
gamma = 0.99
update_freq_o_nl_ine = 4
update_target = 2500
test_freq = 5 * 10 ** 4
test_steps = 10 ** 4
learning_rate = 0.00025
g_momentum = 0.95
epsilon_init = 1.0
epsilon_final = 0.1
epsilon_test = 0.05
epsilon_life = 10 ** 6
replay_start = 5 * 10 ** 4
no_op_max = 30
updates = 5 * 10 ** 6
clip_reward = 1.0
clip_error = 1.0
play_steps = 3000
buffer_samples = 20
crop = (0, -1)
framesize = [84, 84]
framesizetp = (84, 84)
drops = [0.0, 0.0, 0.0, 0.0]
games = ['air_raid', 'alien', 'amidar', 'assault', 'asterix', 'asteroids', 'atlantis', 'bank_heist', 'battle_zone', 'beam_rider', 'bowling', 'boxing', 'breakout', 'carnival', 'centipede', 'chopper_command', 'crazy_climber', 'demon_attack', 'double_dunk', 'enduro', 'fishing_derby', 'freeway', 'frostbite', 'gopher', 'gravitar', 'hero', 'ice_hockey', 'jamesbond', 'kangaroo', 'krull', 'kung_fu_master', 'montezuma_revenge', 'ms_pacman', 'name_this_game', 'pong', 'private_eye', 'qbert', 'riverraid', 'road_runner', 'robotank', 'seaquest', 'space_invaders', 'star_gunner', 'tennis', 'time_pilot', 'tutankham', 'up_n_down', 'venture', 'video_pinball', 'wizard_of_wor', 'zaxxon']
games_extras = ['defender', 'phoenix', 'berzerk', 'skiing', 'yars_revenge', 'solaris', 'pitfall']
action_meaning = {0: 'NOOP', 1: 'FIRE', 2: 'UP', 3: 'RIGHT', 4: 'LEFT', 5: 'DOWN', 6: 'UPRIGHT', 7: 'UPLEFT', 8: 'DOWNRIGHT', 9: 'DOWNLEFT', 10: 'UPFIRE', 11: 'RIGHTFIRE', 12: 'LEFTFIRE', 13: 'DOWNFIRE', 14: 'UPRIGHTFIRE', 15: 'UPLEFTFIRE', 16: 'DOWNRIGHTFIRE', 17: 'DOWNLEFTFIRE'} |
# author: jamie
# email: [email protected]
def Priority (c):
if c == '&': return 3
elif c == '|': return 2
elif c == '^': return 1
elif c == '(': return 0
def InfixToPostfix (infix, postfix):
stack = []
for c in infix:
if c == '(':
stack.append('(')
elif c == ')':
while stack[-1] != '(':
postfix.append(stack.pop())
stack.pop()
elif c == '&' or c == '|' or c == '^':
while len(stack) and Priority(c) <= Priority(stack[-1]):
postfix.append(stack.pop())
stack.append(c)
else:
postfix.append(c)
while len(stack):
postfix.append(stack.pop())
def Evaluate (postfix, value):
stack = []
for c in postfix:
if c == '&' or c == '|' or c == '^':
rhs = stack.pop()
lhs = stack.pop()
if c == '&': stack.append(lhs & rhs)
elif c == '|': stack.append(lhs | rhs)
elif c == '^': stack.append(lhs ^ rhs)
elif c == '1' or c == '0':
stack.append(ord(c) - ord('0'))
else:
stack.append(value[ord(c) - ord('A')])
return stack.pop()
if __name__ == "__main__":
infix = input()
T = int(input())
for _ in range(T):
value = list(map(int, input().split()))
postfix = []
InfixToPostfix(infix, postfix)
print(Evaluate(postfix, value)) | def priority(c):
if c == '&':
return 3
elif c == '|':
return 2
elif c == '^':
return 1
elif c == '(':
return 0
def infix_to_postfix(infix, postfix):
stack = []
for c in infix:
if c == '(':
stack.append('(')
elif c == ')':
while stack[-1] != '(':
postfix.append(stack.pop())
stack.pop()
elif c == '&' or c == '|' or c == '^':
while len(stack) and priority(c) <= priority(stack[-1]):
postfix.append(stack.pop())
stack.append(c)
else:
postfix.append(c)
while len(stack):
postfix.append(stack.pop())
def evaluate(postfix, value):
stack = []
for c in postfix:
if c == '&' or c == '|' or c == '^':
rhs = stack.pop()
lhs = stack.pop()
if c == '&':
stack.append(lhs & rhs)
elif c == '|':
stack.append(lhs | rhs)
elif c == '^':
stack.append(lhs ^ rhs)
elif c == '1' or c == '0':
stack.append(ord(c) - ord('0'))
else:
stack.append(value[ord(c) - ord('A')])
return stack.pop()
if __name__ == '__main__':
infix = input()
t = int(input())
for _ in range(T):
value = list(map(int, input().split()))
postfix = []
infix_to_postfix(infix, postfix)
print(evaluate(postfix, value)) |
Subsets and Splits