content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
class Person:
pass
class Male(Person):
def getGender(self):
return 'Male'
class Female(Person):
def getGender(self):
return 'Female'
print(Male().getGender())
print(Female().getGender()) | class Person:
pass
class Male(Person):
def get_gender(self):
return 'Male'
class Female(Person):
def get_gender(self):
return 'Female'
print(male().getGender())
print(female().getGender()) |
"""
Copied from: https://github.com/jerrymarino/xcbuildkit/blob/master/BazelExtensions/version.bzl
"""
def _info_impl(ctx):
ctx.file("BUILD", content = "exports_files([\"ref\"])")
ctx.file("WORKSPACE", content = "")
if ctx.attr.value:
ctx.file("ref", content = str(ctx.attr.value))
else:
ctx.file("ref", content = "")
_repo_info = repository_rule(
implementation = _info_impl,
attrs = {"value": attr.string()},
local = True,
)
# While defining a repository, pass info about the repo
# e.g. native.existing_rule("some")["commit"]
# The git rule currently deletes the repo
# https://github.com/bazelbuild/bazel/blob/master/tools/build_defs/repo/git.bzl#L179
def _get_ref(rule):
if not rule:
return None
if rule["commit"]:
return rule["commit"]
if rule["tag"]:
return rule["tag"]
print("WARNING: using unstable build tag")
if rule["branch"]:
return rule["branch"]
def repo_info(name):
external_rule = native.existing_rule(name)
_repo_info(name = name + "_repo_info", value = _get_ref(external_rule))
| """
Copied from: https://github.com/jerrymarino/xcbuildkit/blob/master/BazelExtensions/version.bzl
"""
def _info_impl(ctx):
ctx.file('BUILD', content='exports_files(["ref"])')
ctx.file('WORKSPACE', content='')
if ctx.attr.value:
ctx.file('ref', content=str(ctx.attr.value))
else:
ctx.file('ref', content='')
_repo_info = repository_rule(implementation=_info_impl, attrs={'value': attr.string()}, local=True)
def _get_ref(rule):
if not rule:
return None
if rule['commit']:
return rule['commit']
if rule['tag']:
return rule['tag']
print('WARNING: using unstable build tag')
if rule['branch']:
return rule['branch']
def repo_info(name):
external_rule = native.existing_rule(name)
_repo_info(name=name + '_repo_info', value=_get_ref(external_rule)) |
# input = ["a", "a", "b", "b", "c", "c", "c"]
# o/p = a2b2c3
# O(n) time complexity
string_chr = ["a", "a", "b", "b", "c", "c", "c"]
def stringCompression(string_chr):
newString = ''
count = 1
for i in range(len(string_chr)-1):
print(i)
print(string_chr[i])
if string_chr[i] == string_chr[i+1]:
count += 1
else:
newString += string_chr[i]+str(count)
count = 1
if i == len(string_chr)-2:
newString += string_chr[i]+str(count)
i += 1
return newString
print(stringCompression(string_chr))
| string_chr = ['a', 'a', 'b', 'b', 'c', 'c', 'c']
def string_compression(string_chr):
new_string = ''
count = 1
for i in range(len(string_chr) - 1):
print(i)
print(string_chr[i])
if string_chr[i] == string_chr[i + 1]:
count += 1
else:
new_string += string_chr[i] + str(count)
count = 1
if i == len(string_chr) - 2:
new_string += string_chr[i] + str(count)
i += 1
return newString
print(string_compression(string_chr)) |
def compare_schema_resources(available_resources, schema_resources, version):
_available = set(_r.name for _r in available_resources if _r.is_available(version))
_schema = set(schema_resources)
unexpected = list(_available.difference(_schema))
missing = list(_schema.difference(_available))
match = list(_available.intersection(_schema))
return unexpected, missing, match
def compare_schema_routes(available_routes, schema_routes, version):
_available = set()
for _r in available_routes:
if _r.is_available(version, compatiblity_mode=False):
_available.add('{}:{}'.format(_r.httpMethod, _r.path))
else:
for _sr in _r.get_subroutes():
if _sr.is_available(version):
_available.add('{}:{}'.format(_sr.httpMethod, _sr.path))
_schema = set('{}:{}'.format(_r.get('httpMethod', None), _r.get('path', None)) for _r in schema_routes.values())
unexpected = list(_available.difference(_schema))
missing = list(_schema.difference(_available))
match = list(_available.intersection(_schema))
return unexpected, missing, match
| def compare_schema_resources(available_resources, schema_resources, version):
_available = set((_r.name for _r in available_resources if _r.is_available(version)))
_schema = set(schema_resources)
unexpected = list(_available.difference(_schema))
missing = list(_schema.difference(_available))
match = list(_available.intersection(_schema))
return (unexpected, missing, match)
def compare_schema_routes(available_routes, schema_routes, version):
_available = set()
for _r in available_routes:
if _r.is_available(version, compatiblity_mode=False):
_available.add('{}:{}'.format(_r.httpMethod, _r.path))
else:
for _sr in _r.get_subroutes():
if _sr.is_available(version):
_available.add('{}:{}'.format(_sr.httpMethod, _sr.path))
_schema = set(('{}:{}'.format(_r.get('httpMethod', None), _r.get('path', None)) for _r in schema_routes.values()))
unexpected = list(_available.difference(_schema))
missing = list(_schema.difference(_available))
match = list(_available.intersection(_schema))
return (unexpected, missing, match) |
#paste your api_hash and api_id from my.telegram.org
api_hash = " b59675804753a20366ac24e38dd3ea35"
api_id = "1347448"
entity = "tgcloud"
| api_hash = ' b59675804753a20366ac24e38dd3ea35'
api_id = '1347448'
entity = 'tgcloud' |
'''
A Python program to check whether a specifi ed value iscontained in a group of values.
'''
def isVowel (inputStr):
vowelTuple = ('1', '5', '8', '3', '9')
for vowel in vowelTuple:
if inputStr == vowel:
return True
return False
def main ():
myStr = input ("Enter a letter")
isStrVowel = isVowel(myStr)
if isStrVowel:
print ("You input is not from the list")
else:
print ("ou input is from the list")
main()
| """
A Python program to check whether a specifi ed value iscontained in a group of values.
"""
def is_vowel(inputStr):
vowel_tuple = ('1', '5', '8', '3', '9')
for vowel in vowelTuple:
if inputStr == vowel:
return True
return False
def main():
my_str = input('Enter a letter')
is_str_vowel = is_vowel(myStr)
if isStrVowel:
print('You input is not from the list')
else:
print('ou input is from the list')
main() |
def reverse_string(string):
"""Reverses string and returns it.
Parameters
----------
string
Returns
-------
"""
# define base case
to_list = list(string)
if len(to_list) < 2:
return to_list
# set start and stop indexes.
start = 0
stop = len(to_list) - 1
while start < stop:
# swap values
end_value = to_list[stop]
to_list[stop] = to_list[start]
to_list[start] = end_value
# move indexes
start += 1
stop -= 1
return ''.join(to_list)
def reverse_string_recur(string):
if string == '':
return string
else:
return reverse_string(string[1:]) + string[0]
string_list = ['tom', 'baba', 'store', 'worbler']
for string in string_list:
print(reverse_string(string))
print(reverse_string_recur(string))
| def reverse_string(string):
"""Reverses string and returns it.
Parameters
----------
string
Returns
-------
"""
to_list = list(string)
if len(to_list) < 2:
return to_list
start = 0
stop = len(to_list) - 1
while start < stop:
end_value = to_list[stop]
to_list[stop] = to_list[start]
to_list[start] = end_value
start += 1
stop -= 1
return ''.join(to_list)
def reverse_string_recur(string):
if string == '':
return string
else:
return reverse_string(string[1:]) + string[0]
string_list = ['tom', 'baba', 'store', 'worbler']
for string in string_list:
print(reverse_string(string))
print(reverse_string_recur(string)) |
'''
The MIT License (MIT)
Copyright (c) 2016 WavyCloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
def can_paginate(operation_name=None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is create_foo, and you'd normally invoke the
operation as client.create_foo(**kwargs), if the
create_foo operation can be paginated, you can use the
call client.get_paginator('create_foo').
"""
pass
def delete_scaling_policy(PolicyName=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None):
"""
Deletes the specified Application Auto Scaling scaling policy.
Deleting a policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action.
To create a scaling policy or update an existing one, see PutScalingPolicy .
See also: AWS API Documentation
Examples
This example deletes a scaling policy for the Amazon ECS service called web-app, which is running in the default cluster.
Expected Output:
:example: response = client.delete_scaling_policy(
PolicyName='string',
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'
)
:type PolicyName: string
:param PolicyName: [REQUIRED]
The name of the scaling policy.
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
def deregister_scalable_target(ServiceNamespace=None, ResourceId=None, ScalableDimension=None):
"""
Deregisters a scalable target.
Deregistering a scalable target deletes the scaling policies that are associated with it.
To create a scalable target or update an existing one, see RegisterScalableTarget .
See also: AWS API Documentation
Examples
This example deregisters a scalable target for an Amazon ECS service called web-app that is running in the default cluster.
Expected Output:
:example: response = client.deregister_scalable_target(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
def describe_scalable_targets(ServiceNamespace=None, ResourceIds=None, ScalableDimension=None, MaxResults=None, NextToken=None):
"""
Provides descriptive information about the scalable targets in the specified namespace.
You can filter the results using the ResourceIds and ScalableDimension parameters.
To create a scalable target or update an existing one, see RegisterScalableTarget . If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget .
See also: AWS API Documentation
Examples
This example describes the scalable targets for the ecs service namespace.
Expected Output:
:example: response = client.describe_scalable_targets(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceIds=[
'string',
],
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MaxResults=123,
NextToken='string'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceIds: list
:param ResourceIds: The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
(string) --
:type ScalableDimension: string
:param ScalableDimension: The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MaxResults: integer
:param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
:type NextToken: string
:param NextToken: The token for the next set of results.
:rtype: dict
:return: {
'ScalableTargets': [
{
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
'MinCapacity': 123,
'MaxCapacity': 123,
'RoleARN': 'string',
'CreationTime': datetime(2015, 1, 1)
},
],
'NextToken': 'string'
}
:returns:
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
"""
pass
def describe_scaling_activities(ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MaxResults=None, NextToken=None):
"""
Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.
You can filter the results using the ResourceId and ScalableDimension parameters.
Scaling activities are triggered by CloudWatch alarms that are associated with scaling policies. To view the scaling policies for a service namespace, see DescribeScalingPolicies . To create a scaling policy or update an existing one, see PutScalingPolicy .
See also: AWS API Documentation
Examples
This example describes the scaling activities for an Amazon ECS service called web-app that is running in the default cluster.
Expected Output:
:example: response = client.describe_scaling_activities(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MaxResults=123,
NextToken='string'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MaxResults: integer
:param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
:type NextToken: string
:param NextToken: The token for the next set of results.
:rtype: dict
:return: {
'ScalingActivities': [
{
'ActivityId': 'string',
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
'Description': 'string',
'Cause': 'string',
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'StatusCode': 'Pending'|'InProgress'|'Successful'|'Overridden'|'Unfulfilled'|'Failed',
'StatusMessage': 'string',
'Details': 'string'
},
],
'NextToken': 'string'
}
:returns:
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
"""
pass
def describe_scaling_policies(PolicyNames=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MaxResults=None, NextToken=None):
"""
Provides descriptive information about the scaling policies in the specified namespace.
You can filter the results using the ResourceId , ScalableDimension , and PolicyNames parameters.
To create a scaling policy or update an existing one, see PutScalingPolicy . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy .
See also: AWS API Documentation
Examples
This example describes the scaling policies for the ecs service namespace.
Expected Output:
:example: response = client.describe_scaling_policies(
PolicyNames=[
'string',
],
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MaxResults=123,
NextToken='string'
)
:type PolicyNames: list
:param PolicyNames: The names of the scaling policies to describe.
(string) --
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MaxResults: integer
:param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
:type NextToken: string
:param NextToken: The token for the next set of results.
:rtype: dict
:return: {
'ScalingPolicies': [
{
'PolicyARN': 'string',
'PolicyName': 'string',
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
'PolicyType': 'StepScaling',
'StepScalingPolicyConfiguration': {
'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity',
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MinAdjustmentMagnitude': 123,
'Cooldown': 123,
'MetricAggregationType': 'Average'|'Minimum'|'Maximum'
},
'Alarms': [
{
'AlarmName': 'string',
'AlarmARN': 'string'
},
],
'CreationTime': datetime(2015, 1, 1)
},
],
'NextToken': 'string'
}
:returns:
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
"""
pass
def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to
ClientMethod.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid
for. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By
default, the http method is whatever is used in the method's model.
"""
pass
def get_paginator(operation_name=None):
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is create_foo, and you'd normally invoke the
operation as client.create_foo(**kwargs), if the
create_foo operation can be paginated, you can use the
call client.get_paginator('create_foo').
:rtype: L{botocore.paginate.Paginator}
"""
pass
def get_waiter():
"""
"""
pass
def put_scaling_policy(PolicyName=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None, PolicyType=None, StepScalingPolicyConfiguration=None):
"""
Creates or updates a policy for an Application Auto Scaling scalable target.
Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy without first registering a scalable target using RegisterScalableTarget .
To update a policy, specify its policy name and the parameters that you want to change. Any parameters that you don't specify are not changed by this update request.
You can view the scaling policies for a service namespace using DescribeScalingPolicies . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy .
See also: AWS API Documentation
Examples
This example applies a scaling policy to an Amazon ECS service called web-app in the default cluster. The policy increases the desired count of the service by 200%, with a cool down period of 60 seconds.
Expected Output:
This example applies a scaling policy to an Amazon EC2 Spot fleet. The policy increases the target capacity of the spot fleet by 200%, with a cool down period of 180 seconds.",
Expected Output:
:example: response = client.put_scaling_policy(
PolicyName='string',
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
PolicyType='StepScaling',
StepScalingPolicyConfiguration={
'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity',
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MinAdjustmentMagnitude': 123,
'Cooldown': 123,
'MetricAggregationType': 'Average'|'Minimum'|'Maximum'
}
)
:type PolicyName: string
:param PolicyName: [REQUIRED]
The name of the scaling policy.
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type PolicyType: string
:param PolicyType: The policy type. If you are creating a new policy, this parameter is required. If you are updating a policy, this parameter is not required.
:type StepScalingPolicyConfiguration: dict
:param StepScalingPolicyConfiguration: The configuration for the step scaling policy. If you are creating a new policy, this parameter is required. If you are updating a policy, this parameter is not required. For more information, see StepScalingPolicyConfiguration and StepAdjustment .
AdjustmentType (string) --The adjustment type, which specifies how the ScalingAdjustment parameter in a StepAdjustment is interpreted.
StepAdjustments (list) --A set of adjustments that enable you to scale based on the size of the alarm breach.
(dict) --Represents a step adjustment for a StepScalingPolicyConfiguration . Describes an adjustment based on the difference between the value of the aggregated CloudWatch metric and the breach threshold that you've defined for the alarm.
For the following examples, suppose that you have an alarm with a breach threshold of 50:
To trigger the adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10.
To trigger the adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0.
There are a few rules for the step adjustments for your step policy:
The ranges of your step adjustments can't overlap or have a gap.
At most one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound.
At most one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound.
The upper and lower bound can't be null in the same step adjustment.
MetricIntervalLowerBound (float) --The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.
MetricIntervalUpperBound (float) --The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity.
The upper bound must be greater than the lower bound.
ScalingAdjustment (integer) -- [REQUIRED]The amount by which to scale, based on the specified adjustment type. A positive value adds to the current scalable dimension while a negative number removes from the current scalable dimension.
MinAdjustmentMagnitude (integer) --The minimum number to adjust your scalable dimension as a result of a scaling activity. If the adjustment type is PercentChangeInCapacity , the scaling policy changes the scalable dimension of the scalable target by this amount.
Cooldown (integer) --The amount of time, in seconds, after a scaling activity completes where previous trigger-related scaling activities can influence future scaling events.
For scale out policies, while Cooldown is in effect, the capacity that has been added by the previous scale out event that initiated the Cooldown is calculated as part of the desired capacity for the next scale out. The intention is to continuously (but not excessively) scale out. For example, an alarm triggers a step scaling policy to scale out an Amazon ECS service by 2 tasks, the scaling activity completes successfully, and a Cooldown period of 5 minutes starts. During the Cooldown period, if the alarm triggers the same policy again but at a more aggressive step adjustment to scale out the service by 3 tasks, the 2 tasks that were added in the previous scale out event are considered part of that capacity and only 1 additional task is added to the desired count.
For scale in policies, the Cooldown period is used to block subsequent scale in requests until it has expired. The intention is to scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the Cooldown period after a scale-in, Application Auto Scaling scales out your scalable target immediately.
MetricAggregationType (string) --The aggregation type for the CloudWatch metrics. Valid values are Minimum , Maximum , and Average .
:rtype: dict
:return: {
'PolicyARN': 'string'
}
"""
pass
def register_scalable_target(ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MinCapacity=None, MaxCapacity=None, RoleARN=None):
"""
Registers or updates a scalable target. A scalable target is a resource that Application Auto Scaling can scale out or scale in. After you have registered a scalable target, you can use this operation to update the minimum and maximum values for your scalable dimension.
After you register a scalable target, you can create and apply scaling policies using PutScalingPolicy . You can view the scaling policies for a service namespace using DescribeScalableTargets . If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget .
See also: AWS API Documentation
Examples
This example registers a scalable target from an Amazon ECS service called web-app that is running on the default cluster, with a minimum desired count of 1 task and a maximum desired count of 10 tasks.
Expected Output:
This example registers a scalable target from an Amazon EC2 Spot fleet with a minimum target capacity of 1 and a maximum of 10.
Expected Output:
:example: response = client.register_scalable_target(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MinCapacity=123,
MaxCapacity=123,
RoleARN='string'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MinCapacity: integer
:param MinCapacity: The minimum value to scale to in response to a scale in event. This parameter is required if you are registering a scalable target and optional if you are updating one.
:type MaxCapacity: integer
:param MaxCapacity: The maximum value to scale to in response to a scale out event. This parameter is required if you are registering a scalable target and optional if you are updating one.
:type RoleARN: string
:param RoleARN: The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf. This parameter is required when you register a scalable target and optional when you update one.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
| """
The MIT License (MIT)
Copyright (c) 2016 WavyCloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
def can_paginate(operation_name=None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is create_foo, and you'd normally invoke the
operation as client.create_foo(**kwargs), if the
create_foo operation can be paginated, you can use the
call client.get_paginator('create_foo').
"""
pass
def delete_scaling_policy(PolicyName=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None):
"""
Deletes the specified Application Auto Scaling scaling policy.
Deleting a policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action.
To create a scaling policy or update an existing one, see PutScalingPolicy .
See also: AWS API Documentation
Examples
This example deletes a scaling policy for the Amazon ECS service called web-app, which is running in the default cluster.
Expected Output:
:example: response = client.delete_scaling_policy(
PolicyName='string',
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'
)
:type PolicyName: string
:param PolicyName: [REQUIRED]
The name of the scaling policy.
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
def deregister_scalable_target(ServiceNamespace=None, ResourceId=None, ScalableDimension=None):
"""
Deregisters a scalable target.
Deregistering a scalable target deletes the scaling policies that are associated with it.
To create a scalable target or update an existing one, see RegisterScalableTarget .
See also: AWS API Documentation
Examples
This example deregisters a scalable target for an Amazon ECS service called web-app that is running in the default cluster.
Expected Output:
:example: response = client.deregister_scalable_target(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
def describe_scalable_targets(ServiceNamespace=None, ResourceIds=None, ScalableDimension=None, MaxResults=None, NextToken=None):
"""
Provides descriptive information about the scalable targets in the specified namespace.
You can filter the results using the ResourceIds and ScalableDimension parameters.
To create a scalable target or update an existing one, see RegisterScalableTarget . If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget .
See also: AWS API Documentation
Examples
This example describes the scalable targets for the ecs service namespace.
Expected Output:
:example: response = client.describe_scalable_targets(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceIds=[
'string',
],
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MaxResults=123,
NextToken='string'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceIds: list
:param ResourceIds: The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
(string) --
:type ScalableDimension: string
:param ScalableDimension: The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MaxResults: integer
:param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
:type NextToken: string
:param NextToken: The token for the next set of results.
:rtype: dict
:return: {
'ScalableTargets': [
{
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
'MinCapacity': 123,
'MaxCapacity': 123,
'RoleARN': 'string',
'CreationTime': datetime(2015, 1, 1)
},
],
'NextToken': 'string'
}
:returns:
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
"""
pass
def describe_scaling_activities(ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MaxResults=None, NextToken=None):
"""
Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.
You can filter the results using the ResourceId and ScalableDimension parameters.
Scaling activities are triggered by CloudWatch alarms that are associated with scaling policies. To view the scaling policies for a service namespace, see DescribeScalingPolicies . To create a scaling policy or update an existing one, see PutScalingPolicy .
See also: AWS API Documentation
Examples
This example describes the scaling activities for an Amazon ECS service called web-app that is running in the default cluster.
Expected Output:
:example: response = client.describe_scaling_activities(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MaxResults=123,
NextToken='string'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MaxResults: integer
:param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
:type NextToken: string
:param NextToken: The token for the next set of results.
:rtype: dict
:return: {
'ScalingActivities': [
{
'ActivityId': 'string',
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
'Description': 'string',
'Cause': 'string',
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'StatusCode': 'Pending'|'InProgress'|'Successful'|'Overridden'|'Unfulfilled'|'Failed',
'StatusMessage': 'string',
'Details': 'string'
},
],
'NextToken': 'string'
}
:returns:
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
"""
pass
def describe_scaling_policies(PolicyNames=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MaxResults=None, NextToken=None):
"""
Provides descriptive information about the scaling policies in the specified namespace.
You can filter the results using the ResourceId , ScalableDimension , and PolicyNames parameters.
To create a scaling policy or update an existing one, see PutScalingPolicy . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy .
See also: AWS API Documentation
Examples
This example describes the scaling policies for the ecs service namespace.
Expected Output:
:example: response = client.describe_scaling_policies(
PolicyNames=[
'string',
],
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MaxResults=123,
NextToken='string'
)
:type PolicyNames: list
:param PolicyNames: The names of the scaling policies to describe.
(string) --
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MaxResults: integer
:param MaxResults: The maximum number of scalable target results. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
:type NextToken: string
:param NextToken: The token for the next set of results.
:rtype: dict
:return: {
'ScalingPolicies': [
{
'PolicyARN': 'string',
'PolicyName': 'string',
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
'PolicyType': 'StepScaling',
'StepScalingPolicyConfiguration': {
'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity',
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MinAdjustmentMagnitude': 123,
'Cooldown': 123,
'MetricAggregationType': 'Average'|'Minimum'|'Maximum'
},
'Alarms': [
{
'AlarmName': 'string',
'AlarmARN': 'string'
},
],
'CreationTime': datetime(2015, 1, 1)
},
],
'NextToken': 'string'
}
:returns:
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
"""
pass
def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to
ClientMethod.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid
for. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By
default, the http method is whatever is used in the method's model.
"""
pass
def get_paginator(operation_name=None):
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is create_foo, and you'd normally invoke the
operation as client.create_foo(**kwargs), if the
create_foo operation can be paginated, you can use the
call client.get_paginator('create_foo').
:rtype: L{botocore.paginate.Paginator}
"""
pass
def get_waiter():
"""
"""
pass
def put_scaling_policy(PolicyName=None, ServiceNamespace=None, ResourceId=None, ScalableDimension=None, PolicyType=None, StepScalingPolicyConfiguration=None):
"""
Creates or updates a policy for an Application Auto Scaling scalable target.
Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy without first registering a scalable target using RegisterScalableTarget .
To update a policy, specify its policy name and the parameters that you want to change. Any parameters that you don't specify are not changed by this update request.
You can view the scaling policies for a service namespace using DescribeScalingPolicies . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy .
See also: AWS API Documentation
Examples
This example applies a scaling policy to an Amazon ECS service called web-app in the default cluster. The policy increases the desired count of the service by 200%, with a cool down period of 60 seconds.
Expected Output:
This example applies a scaling policy to an Amazon EC2 Spot fleet. The policy increases the target capacity of the spot fleet by 200%, with a cool down period of 180 seconds.",
Expected Output:
:example: response = client.put_scaling_policy(
PolicyName='string',
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
PolicyType='StepScaling',
StepScalingPolicyConfiguration={
'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity',
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MinAdjustmentMagnitude': 123,
'Cooldown': 123,
'MetricAggregationType': 'Average'|'Minimum'|'Maximum'
}
)
:type PolicyName: string
:param PolicyName: [REQUIRED]
The name of the scaling policy.
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type PolicyType: string
:param PolicyType: The policy type. If you are creating a new policy, this parameter is required. If you are updating a policy, this parameter is not required.
:type StepScalingPolicyConfiguration: dict
:param StepScalingPolicyConfiguration: The configuration for the step scaling policy. If you are creating a new policy, this parameter is required. If you are updating a policy, this parameter is not required. For more information, see StepScalingPolicyConfiguration and StepAdjustment .
AdjustmentType (string) --The adjustment type, which specifies how the ScalingAdjustment parameter in a StepAdjustment is interpreted.
StepAdjustments (list) --A set of adjustments that enable you to scale based on the size of the alarm breach.
(dict) --Represents a step adjustment for a StepScalingPolicyConfiguration . Describes an adjustment based on the difference between the value of the aggregated CloudWatch metric and the breach threshold that you've defined for the alarm.
For the following examples, suppose that you have an alarm with a breach threshold of 50:
To trigger the adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10.
To trigger the adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0.
There are a few rules for the step adjustments for your step policy:
The ranges of your step adjustments can't overlap or have a gap.
At most one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound.
At most one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound.
The upper and lower bound can't be null in the same step adjustment.
MetricIntervalLowerBound (float) --The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.
MetricIntervalUpperBound (float) --The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity.
The upper bound must be greater than the lower bound.
ScalingAdjustment (integer) -- [REQUIRED]The amount by which to scale, based on the specified adjustment type. A positive value adds to the current scalable dimension while a negative number removes from the current scalable dimension.
MinAdjustmentMagnitude (integer) --The minimum number to adjust your scalable dimension as a result of a scaling activity. If the adjustment type is PercentChangeInCapacity , the scaling policy changes the scalable dimension of the scalable target by this amount.
Cooldown (integer) --The amount of time, in seconds, after a scaling activity completes where previous trigger-related scaling activities can influence future scaling events.
For scale out policies, while Cooldown is in effect, the capacity that has been added by the previous scale out event that initiated the Cooldown is calculated as part of the desired capacity for the next scale out. The intention is to continuously (but not excessively) scale out. For example, an alarm triggers a step scaling policy to scale out an Amazon ECS service by 2 tasks, the scaling activity completes successfully, and a Cooldown period of 5 minutes starts. During the Cooldown period, if the alarm triggers the same policy again but at a more aggressive step adjustment to scale out the service by 3 tasks, the 2 tasks that were added in the previous scale out event are considered part of that capacity and only 1 additional task is added to the desired count.
For scale in policies, the Cooldown period is used to block subsequent scale in requests until it has expired. The intention is to scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the Cooldown period after a scale-in, Application Auto Scaling scales out your scalable target immediately.
MetricAggregationType (string) --The aggregation type for the CloudWatch metrics. Valid values are Minimum , Maximum , and Average .
:rtype: dict
:return: {
'PolicyARN': 'string'
}
"""
pass
def register_scalable_target(ServiceNamespace=None, ResourceId=None, ScalableDimension=None, MinCapacity=None, MaxCapacity=None, RoleARN=None):
"""
Registers or updates a scalable target. A scalable target is a resource that Application Auto Scaling can scale out or scale in. After you have registered a scalable target, you can use this operation to update the minimum and maximum values for your scalable dimension.
After you register a scalable target, you can create and apply scaling policies using PutScalingPolicy . You can view the scaling policies for a service namespace using DescribeScalableTargets . If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget .
See also: AWS API Documentation
Examples
This example registers a scalable target from an Amazon ECS service called web-app that is running on the default cluster, with a minimum desired count of 1 task and a maximum desired count of 10 tasks.
Expected Output:
This example registers a scalable target from an Amazon EC2 Spot fleet with a minimum target capacity of 1 and a maximum of 10.
Expected Output:
:example: response = client.register_scalable_target(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity',
MinCapacity=123,
MaxCapacity=123,
RoleARN='string'
)
:type ServiceNamespace: string
:param ServiceNamespace: [REQUIRED]
The namespace of the AWS service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .
:type ResourceId: string
:param ResourceId: [REQUIRED]
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
:type ScalableDimension: string
:param ScalableDimension: [REQUIRED]
The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot fleet request.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
:type MinCapacity: integer
:param MinCapacity: The minimum value to scale to in response to a scale in event. This parameter is required if you are registering a scalable target and optional if you are updating one.
:type MaxCapacity: integer
:param MaxCapacity: The maximum value to scale to in response to a scale out event. This parameter is required if you are registering a scalable target and optional if you are updating one.
:type RoleARN: string
:param RoleARN: The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf. This parameter is required when you register a scalable target and optional when you update one.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass |
n = int(input('n: '))
soma = 0
cont = 0
while cont < n:
numeros = int(input('numero: '))
soma += numeros
cont += 1
media = soma / n
print('soma e igual: {}, e a media: {:.2f}'.format(soma, media))
| n = int(input('n: '))
soma = 0
cont = 0
while cont < n:
numeros = int(input('numero: '))
soma += numeros
cont += 1
media = soma / n
print('soma e igual: {}, e a media: {:.2f}'.format(soma, media)) |
'''
MIT License
Copyright (c) 2019 lewis he
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
axp20x.py - MicroPython library for X-Power AXP202 chip.
Created by Lewis he on June 24, 2019.
github:https://github.com/lewisxhe/AXP202X_Libraries
'''
# Chip Address
AXP202_SLAVE_ADDRESS = 0x35
AXP192_SLAVE_ADDRESS = 0x34
# Chip ID
AXP202_CHIP_ID = 0x41
AXP192_CHIP_ID = 0x03
# REG MAP
AXP202_STATUS = 0x00
AXP202_MODE_CHGSTATUS = 0x01
AXP202_OTG_STATUS = 0x02
AXP202_IC_TYPE = 0x03
AXP202_DATA_BUFFER1 = 0x04
AXP202_DATA_BUFFER2 = 0x05
AXP202_DATA_BUFFER3 = 0x06
AXP202_DATA_BUFFER4 = 0x07
AXP202_DATA_BUFFER5 = 0x08
AXP202_DATA_BUFFER6 = 0x09
AXP202_DATA_BUFFER7 = 0x0A
AXP202_DATA_BUFFER8 = 0x0B
AXP202_DATA_BUFFER9 = 0x0C
AXP202_DATA_BUFFERA = 0x0D
AXP202_DATA_BUFFERB = 0x0E
AXP202_DATA_BUFFERC = 0x0F
AXP202_LDO234_DC23_CTL = 0x12
AXP202_DC2OUT_VOL = 0x23
AXP202_LDO3_DC2_DVM = 0x25
AXP202_DC3OUT_VOL = 0x27
AXP202_LDO24OUT_VOL = 0x28
AXP202_LDO3OUT_VOL = 0x29
AXP202_IPS_SET = 0x30
AXP202_VOFF_SET = 0x31
AXP202_OFF_CTL = 0x32
AXP202_CHARGE1 = 0x33
AXP202_CHARGE2 = 0x34
AXP202_BACKUP_CHG = 0x35
AXP202_POK_SET = 0x36
AXP202_DCDC_FREQSET = 0x37
AXP202_VLTF_CHGSET = 0x38
AXP202_VHTF_CHGSET = 0x39
AXP202_APS_WARNING1 = 0x3A
AXP202_APS_WARNING2 = 0x3B
AXP202_TLTF_DISCHGSET = 0x3C
AXP202_THTF_DISCHGSET = 0x3D
AXP202_DCDC_MODESET = 0x80
AXP202_ADC_EN1 = 0x82
AXP202_ADC_EN2 = 0x83
AXP202_ADC_SPEED = 0x84
AXP202_ADC_INPUTRANGE = 0x85
AXP202_ADC_IRQ_RETFSET = 0x86
AXP202_ADC_IRQ_FETFSET = 0x87
AXP202_TIMER_CTL = 0x8A
AXP202_VBUS_DET_SRP = 0x8B
AXP202_HOTOVER_CTL = 0x8F
AXP202_GPIO0_CTL = 0x90
AXP202_GPIO0_VOL = 0x91
AXP202_GPIO1_CTL = 0x92
AXP202_GPIO2_CTL = 0x93
AXP202_GPIO012_SIGNAL = 0x94
AXP202_GPIO3_CTL = 0x95
AXP202_INTEN1 = 0x40
AXP202_INTEN2 = 0x41
AXP202_INTEN3 = 0x42
AXP202_INTEN4 = 0x43
AXP202_INTEN5 = 0x44
AXP202_INTSTS1 = 0x48
AXP202_INTSTS2 = 0x49
AXP202_INTSTS3 = 0x4A
AXP202_INTSTS4 = 0x4B
AXP202_INTSTS5 = 0x4C
# Irq control register
AXP192_INTEN1 = 0x40
AXP192_INTEN2 = 0x41
AXP192_INTEN3 = 0x42
AXP192_INTEN4 = 0x43
AXP192_INTEN5 = 0x4A
# Irq status register
AXP192_INTSTS1 = 0x44
AXP192_INTSTS2 = 0x45
AXP192_INTSTS3 = 0x46
AXP192_INTSTS4 = 0x47
AXP192_INTSTS5 = 0x4D
AXP192_LDO23OUT_VOL = 0x28
AXP192_DC1_VLOTAGE = 0x26
# axp 20 adc data register
AXP202_BAT_AVERVOL_H8 = 0x78
AXP202_BAT_AVERVOL_L4 = 0x79
AXP202_BAT_AVERCHGCUR_H8 = 0x7A
AXP202_BAT_AVERCHGCUR_L4 = 0x7B
AXP202_BAT_VOL_H8 = 0x50
AXP202_BAT_VOL_L4 = 0x51
AXP202_ACIN_VOL_H8 = 0x56
AXP202_ACIN_VOL_L4 = 0x57
AXP202_ACIN_CUR_H8 = 0x58
AXP202_ACIN_CUR_L4 = 0x59
AXP202_VBUS_VOL_H8 = 0x5A
AXP202_VBUS_VOL_L4 = 0x5B
AXP202_VBUS_CUR_H8 = 0x5C
AXP202_VBUS_CUR_L4 = 0x5D
AXP202_INTERNAL_TEMP_H8 = 0x5E
AXP202_INTERNAL_TEMP_L4 = 0x5F
AXP202_TS_IN_H8 = 0x62
AXP202_TS_IN_L4 = 0x63
AXP202_GPIO0_VOL_ADC_H8 = 0x64
AXP202_GPIO0_VOL_ADC_L4 = 0x65
AXP202_GPIO1_VOL_ADC_H8 = 0x66
AXP202_GPIO1_VOL_ADC_L4 = 0x67
AXP202_BAT_AVERDISCHGCUR_H8 = 0x7C
AXP202_BAT_AVERDISCHGCUR_L5 = 0x7D
AXP202_APS_AVERVOL_H8 = 0x7E
AXP202_APS_AVERVOL_L4 = 0x7F
AXP202_INT_BAT_CHGCUR_H8 = 0xA0
AXP202_INT_BAT_CHGCUR_L4 = 0xA1
AXP202_EXT_BAT_CHGCUR_H8 = 0xA2
AXP202_EXT_BAT_CHGCUR_L4 = 0xA3
AXP202_INT_BAT_DISCHGCUR_H8 = 0xA4
AXP202_INT_BAT_DISCHGCUR_L4 = 0xA5
AXP202_EXT_BAT_DISCHGCUR_H8 = 0xA6
AXP202_EXT_BAT_DISCHGCUR_L4 = 0xA7
AXP202_BAT_CHGCOULOMB3 = 0xB0
AXP202_BAT_CHGCOULOMB2 = 0xB1
AXP202_BAT_CHGCOULOMB1 = 0xB2
AXP202_BAT_CHGCOULOMB0 = 0xB3
AXP202_BAT_DISCHGCOULOMB3 = 0xB4
AXP202_BAT_DISCHGCOULOMB2 = 0xB5
AXP202_BAT_DISCHGCOULOMB1 = 0xB6
AXP202_BAT_DISCHGCOULOMB0 = 0xB7
AXP202_COULOMB_CTL = 0xB8
AXP202_BAT_POWERH8 = 0x70
AXP202_BAT_POWERM8 = 0x71
AXP202_BAT_POWERL8 = 0x72
AXP202_VREF_TEM_CTRL = 0xF3
AXP202_BATT_PERCENTAGE = 0xB9
# AXP202 bit definitions for AXP events irq event
AXP202_IRQ_USBLO = 1
AXP202_IRQ_USBRE = 2
AXP202_IRQ_USBIN = 3
AXP202_IRQ_USBOV = 4
AXP202_IRQ_ACRE = 5
AXP202_IRQ_ACIN = 6
AXP202_IRQ_ACOV = 7
AXP202_IRQ_TEMLO = 8
AXP202_IRQ_TEMOV = 9
AXP202_IRQ_CHAOV = 10
AXP202_IRQ_CHAST = 11
AXP202_IRQ_BATATOU = 12
AXP202_IRQ_BATATIN = 13
AXP202_IRQ_BATRE = 14
AXP202_IRQ_BATIN = 15
AXP202_IRQ_POKLO = 16
AXP202_IRQ_POKSH = 17
AXP202_IRQ_LDO3LO = 18
AXP202_IRQ_DCDC3LO = 19
AXP202_IRQ_DCDC2LO = 20
AXP202_IRQ_CHACURLO = 22
AXP202_IRQ_ICTEMOV = 23
AXP202_IRQ_EXTLOWARN2 = 24
AXP202_IRQ_EXTLOWARN1 = 25
AXP202_IRQ_SESSION_END = 26
AXP202_IRQ_SESS_AB_VALID = 27
AXP202_IRQ_VBUS_UN_VALID = 28
AXP202_IRQ_VBUS_VALID = 29
AXP202_IRQ_PDOWN_BY_NOE = 30
AXP202_IRQ_PUP_BY_NOE = 31
AXP202_IRQ_GPIO0TG = 32
AXP202_IRQ_GPIO1TG = 33
AXP202_IRQ_GPIO2TG = 34
AXP202_IRQ_GPIO3TG = 35
AXP202_IRQ_PEKFE = 37
AXP202_IRQ_PEKRE = 38
AXP202_IRQ_TIMER = 39
# Signal Capture
AXP202_BATT_VOLTAGE_STEP = 1.1
AXP202_BATT_DISCHARGE_CUR_STEP = 0.5
AXP202_BATT_CHARGE_CUR_STEP = 0.5
AXP202_ACIN_VOLTAGE_STEP = 1.7
AXP202_ACIN_CUR_STEP = 0.625
AXP202_VBUS_VOLTAGE_STEP = 1.7
AXP202_VBUS_CUR_STEP = 0.375
AXP202_INTENAL_TEMP_STEP = 0.1
AXP202_APS_VOLTAGE_STEP = 1.4
AXP202_TS_PIN_OUT_STEP = 0.8
AXP202_GPIO0_STEP = 0.5
AXP202_GPIO1_STEP = 0.5
# axp202 power channel
AXP202_EXTEN = 0
AXP202_DCDC3 = 1
AXP202_LDO2 = 2
AXP202_LDO4 = 3
AXP202_DCDC2 = 4
AXP202_LDO3 = 6
# axp192 power channel
AXP192_DCDC1 = 0
AXP192_DCDC3 = 1
AXP192_LDO2 = 2
AXP192_LDO3 = 3
AXP192_DCDC2 = 4
AXP192_EXTEN = 6
# AXP202 ADC channel
AXP202_ADC1 = 1
AXP202_ADC2 = 2
# axp202 adc1 args
AXP202_BATT_VOL_ADC1 = 7
AXP202_BATT_CUR_ADC1 = 6
AXP202_ACIN_VOL_ADC1 = 5
AXP202_ACIN_CUR_ADC1 = 4
AXP202_VBUS_VOL_ADC1 = 3
AXP202_VBUS_CUR_ADC1 = 2
AXP202_APS_VOL_ADC1 = 1
AXP202_TS_PIN_ADC1 = 0
# axp202 adc2 args
AXP202_TEMP_MONITORING_ADC2 = 7
AXP202_GPIO1_FUNC_ADC2 = 3
AXP202_GPIO0_FUNC_ADC2 = 2
# AXP202 IRQ1
AXP202_VBUS_VHOLD_LOW_IRQ = 1 << 1
AXP202_VBUS_REMOVED_IRQ = 1 << 2
AXP202_VBUS_CONNECT_IRQ = 1 << 3
AXP202_VBUS_OVER_VOL_IRQ = 1 << 4
AXP202_ACIN_REMOVED_IRQ = 1 << 5
AXP202_ACIN_CONNECT_IRQ = 1 << 6
AXP202_ACIN_OVER_VOL_IRQ = 1 << 7
# AXP202 IRQ2
AXP202_BATT_LOW_TEMP_IRQ = 1 << 8
AXP202_BATT_OVER_TEMP_IRQ = 1 << 9
AXP202_CHARGING_FINISHED_IRQ = 1 << 10
AXP202_CHARGING_IRQ = 1 << 11
AXP202_BATT_EXIT_ACTIVATE_IRQ = 1 << 12
AXP202_BATT_ACTIVATE_IRQ = 1 << 13
AXP202_BATT_REMOVED_IRQ = 1 << 14
AXP202_BATT_CONNECT_IRQ = 1 << 15
# AXP202 IRQ3
AXP202_PEK_LONGPRESS_IRQ = 1 << 16
AXP202_PEK_SHORTPRESS_IRQ = 1 << 17
AXP202_LDO3_LOW_VOL_IRQ = 1 << 18
AXP202_DC3_LOW_VOL_IRQ = 1 << 19
AXP202_DC2_LOW_VOL_IRQ = 1 << 20
AXP202_CHARGE_LOW_CUR_IRQ = 1 << 21
AXP202_CHIP_TEMP_HIGH_IRQ = 1 << 22
# AXP202 IRQ4
AXP202_APS_LOW_VOL_LEVEL2_IRQ = 1 << 24
APX202_APS_LOW_VOL_LEVEL1_IRQ = 1 << 25
AXP202_VBUS_SESSION_END_IRQ = 1 << 26
AXP202_VBUS_SESSION_AB_IRQ = 1 << 27
AXP202_VBUS_INVALID_IRQ = 1 << 28
AXP202_VBUS_VAILD_IRQ = 1 << 29
AXP202_NOE_OFF_IRQ = 1 << 30
AXP202_NOE_ON_IRQ = 1 << 31
# AXP202 IRQ5
AXP202_GPIO0_EDGE_TRIGGER_IRQ = 1 << 32
AXP202_GPIO1_EDGE_TRIGGER_IRQ = 1 << 33
AXP202_GPIO2_EDGE_TRIGGER_IRQ = 1 << 34
AXP202_GPIO3_EDGE_TRIGGER_IRQ = 1 << 35
# Reserved and unchangeable BIT 4
AXP202_PEK_FALLING_EDGE_IRQ = 1 << 37
AXP202_PEK_RISING_EDGE_IRQ = 1 << 38
AXP202_TIMER_TIMEOUT_IRQ = 1 << 39
AXP202_ALL_IRQ = 0xFFFFFFFFFF
# AXP202 LDO3 Mode
AXP202_LDO3_LDO_MODE = 0
AXP202_LDO3_DCIN_MODE = 1
# AXP202 LDO4 voltage setting args
AXP202_LDO4_1250MV = 0
AXP202_LDO4_1300MV = 1
AXP202_LDO4_1400MV = 2
AXP202_LDO4_1500MV = 3
AXP202_LDO4_1600MV = 4
AXP202_LDO4_1700MV = 5
AXP202_LDO4_1800MV = 6
AXP202_LDO4_1900MV = 7
AXP202_LDO4_2000MV = 8
AXP202_LDO4_2500MV = 9
AXP202_LDO4_2700MV = 10
AXP202_LDO4_2800MV = 11
AXP202_LDO4_3000MV = 12
AXP202_LDO4_3100MV = 13
AXP202_LDO4_3200MV = 14
AXP202_LDO4_3300MV = 15
# Boot time setting
AXP202_STARTUP_TIME_128MS = 0
AXP202_STARTUP_TIME_3S = 1
AXP202_STARTUP_TIME_1S = 2
AXP202_STARTUP_TIME_2S = 3
# Long button time setting
AXP202_LONGPRESS_TIME_1S = 0
AXP202_LONGPRESS_TIME_1S5 = 1
AXP202_LONGPRESS_TIME_2S = 2
AXP202_LONGPRESS_TIME_2S5 = 3
# Shutdown duration setting
AXP202_SHUTDOWN_TIME_4S = 0
AXP202_SHUTDOWN_TIME_6S = 1
AXP202_SHUTDOWN_TIME_8S = 2
AXP202_SHUTDOWN_TIME_10S = 3
# REG 33H: Charging control 1 Charging target-voltage setting
AXP202_TARGET_VOL_4_1V = 0
AXP202_TARGET_VOL_4_15V = 1
AXP202_TARGET_VOL_4_2V = 2
AXP202_TARGET_VOL_4_36V = 3
# AXP202 LED CONTROL
AXP20X_LED_OFF = 0
AXP20X_LED_BLINK_1HZ = 1
AXP20X_LED_BLINK_4HZ = 2
AXP20X_LED_LOW_LEVEL = 3
AXP202_LDO5_1800MV = 0
AXP202_LDO5_2500MV = 1
AXP202_LDO5_2800MV = 2
AXP202_LDO5_3000MV = 3
AXP202_LDO5_3100MV = 4
AXP202_LDO5_3300MV = 5
AXP202_LDO5_3400MV = 6
AXP202_LDO5_3500MV = 7
# LDO3 OUTPUT MODE
AXP202_LDO3_MODE_LDO = 0
AXP202_LDO3_MODE_DCIN = 1
AXP_POWER_OFF_TIME_4S = 0
AXP_POWER_OFF_TIME_65 = 1
AXP_POWER_OFF_TIME_8S = 2
AXP_POWER_OFF_TIME_16S = 3
AXP_LONGPRESS_TIME_1S = 0
AXP_LONGPRESS_TIME_1S5 = 1
AXP_LONGPRESS_TIME_2S = 2
AXP_LONGPRESS_TIME_2S5 = 3
AXP192_STARTUP_TIME_128MS = 0
AXP192_STARTUP_TIME_512MS = 1
AXP192_STARTUP_TIME_1S = 2
AXP192_STARTUP_TIME_2S = 3
AXP202_STARTUP_TIME_128MS = 0
AXP202_STARTUP_TIME_3S = 1
AXP202_STARTUP_TIME_1S = 2
AXP202_STARTUP_TIME_2S = 3
| """
MIT License
Copyright (c) 2019 lewis he
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
axp20x.py - MicroPython library for X-Power AXP202 chip.
Created by Lewis he on June 24, 2019.
github:https://github.com/lewisxhe/AXP202X_Libraries
"""
axp202_slave_address = 53
axp192_slave_address = 52
axp202_chip_id = 65
axp192_chip_id = 3
axp202_status = 0
axp202_mode_chgstatus = 1
axp202_otg_status = 2
axp202_ic_type = 3
axp202_data_buffer1 = 4
axp202_data_buffer2 = 5
axp202_data_buffer3 = 6
axp202_data_buffer4 = 7
axp202_data_buffer5 = 8
axp202_data_buffer6 = 9
axp202_data_buffer7 = 10
axp202_data_buffer8 = 11
axp202_data_buffer9 = 12
axp202_data_buffera = 13
axp202_data_bufferb = 14
axp202_data_bufferc = 15
axp202_ldo234_dc23_ctl = 18
axp202_dc2_out_vol = 35
axp202_ldo3_dc2_dvm = 37
axp202_dc3_out_vol = 39
axp202_ldo24_out_vol = 40
axp202_ldo3_out_vol = 41
axp202_ips_set = 48
axp202_voff_set = 49
axp202_off_ctl = 50
axp202_charge1 = 51
axp202_charge2 = 52
axp202_backup_chg = 53
axp202_pok_set = 54
axp202_dcdc_freqset = 55
axp202_vltf_chgset = 56
axp202_vhtf_chgset = 57
axp202_aps_warning1 = 58
axp202_aps_warning2 = 59
axp202_tltf_dischgset = 60
axp202_thtf_dischgset = 61
axp202_dcdc_modeset = 128
axp202_adc_en1 = 130
axp202_adc_en2 = 131
axp202_adc_speed = 132
axp202_adc_inputrange = 133
axp202_adc_irq_retfset = 134
axp202_adc_irq_fetfset = 135
axp202_timer_ctl = 138
axp202_vbus_det_srp = 139
axp202_hotover_ctl = 143
axp202_gpio0_ctl = 144
axp202_gpio0_vol = 145
axp202_gpio1_ctl = 146
axp202_gpio2_ctl = 147
axp202_gpio012_signal = 148
axp202_gpio3_ctl = 149
axp202_inten1 = 64
axp202_inten2 = 65
axp202_inten3 = 66
axp202_inten4 = 67
axp202_inten5 = 68
axp202_intsts1 = 72
axp202_intsts2 = 73
axp202_intsts3 = 74
axp202_intsts4 = 75
axp202_intsts5 = 76
axp192_inten1 = 64
axp192_inten2 = 65
axp192_inten3 = 66
axp192_inten4 = 67
axp192_inten5 = 74
axp192_intsts1 = 68
axp192_intsts2 = 69
axp192_intsts3 = 70
axp192_intsts4 = 71
axp192_intsts5 = 77
axp192_ldo23_out_vol = 40
axp192_dc1_vlotage = 38
axp202_bat_avervol_h8 = 120
axp202_bat_avervol_l4 = 121
axp202_bat_averchgcur_h8 = 122
axp202_bat_averchgcur_l4 = 123
axp202_bat_vol_h8 = 80
axp202_bat_vol_l4 = 81
axp202_acin_vol_h8 = 86
axp202_acin_vol_l4 = 87
axp202_acin_cur_h8 = 88
axp202_acin_cur_l4 = 89
axp202_vbus_vol_h8 = 90
axp202_vbus_vol_l4 = 91
axp202_vbus_cur_h8 = 92
axp202_vbus_cur_l4 = 93
axp202_internal_temp_h8 = 94
axp202_internal_temp_l4 = 95
axp202_ts_in_h8 = 98
axp202_ts_in_l4 = 99
axp202_gpio0_vol_adc_h8 = 100
axp202_gpio0_vol_adc_l4 = 101
axp202_gpio1_vol_adc_h8 = 102
axp202_gpio1_vol_adc_l4 = 103
axp202_bat_averdischgcur_h8 = 124
axp202_bat_averdischgcur_l5 = 125
axp202_aps_avervol_h8 = 126
axp202_aps_avervol_l4 = 127
axp202_int_bat_chgcur_h8 = 160
axp202_int_bat_chgcur_l4 = 161
axp202_ext_bat_chgcur_h8 = 162
axp202_ext_bat_chgcur_l4 = 163
axp202_int_bat_dischgcur_h8 = 164
axp202_int_bat_dischgcur_l4 = 165
axp202_ext_bat_dischgcur_h8 = 166
axp202_ext_bat_dischgcur_l4 = 167
axp202_bat_chgcoulomb3 = 176
axp202_bat_chgcoulomb2 = 177
axp202_bat_chgcoulomb1 = 178
axp202_bat_chgcoulomb0 = 179
axp202_bat_dischgcoulomb3 = 180
axp202_bat_dischgcoulomb2 = 181
axp202_bat_dischgcoulomb1 = 182
axp202_bat_dischgcoulomb0 = 183
axp202_coulomb_ctl = 184
axp202_bat_powerh8 = 112
axp202_bat_powerm8 = 113
axp202_bat_powerl8 = 114
axp202_vref_tem_ctrl = 243
axp202_batt_percentage = 185
axp202_irq_usblo = 1
axp202_irq_usbre = 2
axp202_irq_usbin = 3
axp202_irq_usbov = 4
axp202_irq_acre = 5
axp202_irq_acin = 6
axp202_irq_acov = 7
axp202_irq_temlo = 8
axp202_irq_temov = 9
axp202_irq_chaov = 10
axp202_irq_chast = 11
axp202_irq_batatou = 12
axp202_irq_batatin = 13
axp202_irq_batre = 14
axp202_irq_batin = 15
axp202_irq_poklo = 16
axp202_irq_poksh = 17
axp202_irq_ldo3_lo = 18
axp202_irq_dcdc3_lo = 19
axp202_irq_dcdc2_lo = 20
axp202_irq_chacurlo = 22
axp202_irq_ictemov = 23
axp202_irq_extlowarn2 = 24
axp202_irq_extlowarn1 = 25
axp202_irq_session_end = 26
axp202_irq_sess_ab_valid = 27
axp202_irq_vbus_un_valid = 28
axp202_irq_vbus_valid = 29
axp202_irq_pdown_by_noe = 30
axp202_irq_pup_by_noe = 31
axp202_irq_gpio0_tg = 32
axp202_irq_gpio1_tg = 33
axp202_irq_gpio2_tg = 34
axp202_irq_gpio3_tg = 35
axp202_irq_pekfe = 37
axp202_irq_pekre = 38
axp202_irq_timer = 39
axp202_batt_voltage_step = 1.1
axp202_batt_discharge_cur_step = 0.5
axp202_batt_charge_cur_step = 0.5
axp202_acin_voltage_step = 1.7
axp202_acin_cur_step = 0.625
axp202_vbus_voltage_step = 1.7
axp202_vbus_cur_step = 0.375
axp202_intenal_temp_step = 0.1
axp202_aps_voltage_step = 1.4
axp202_ts_pin_out_step = 0.8
axp202_gpio0_step = 0.5
axp202_gpio1_step = 0.5
axp202_exten = 0
axp202_dcdc3 = 1
axp202_ldo2 = 2
axp202_ldo4 = 3
axp202_dcdc2 = 4
axp202_ldo3 = 6
axp192_dcdc1 = 0
axp192_dcdc3 = 1
axp192_ldo2 = 2
axp192_ldo3 = 3
axp192_dcdc2 = 4
axp192_exten = 6
axp202_adc1 = 1
axp202_adc2 = 2
axp202_batt_vol_adc1 = 7
axp202_batt_cur_adc1 = 6
axp202_acin_vol_adc1 = 5
axp202_acin_cur_adc1 = 4
axp202_vbus_vol_adc1 = 3
axp202_vbus_cur_adc1 = 2
axp202_aps_vol_adc1 = 1
axp202_ts_pin_adc1 = 0
axp202_temp_monitoring_adc2 = 7
axp202_gpio1_func_adc2 = 3
axp202_gpio0_func_adc2 = 2
axp202_vbus_vhold_low_irq = 1 << 1
axp202_vbus_removed_irq = 1 << 2
axp202_vbus_connect_irq = 1 << 3
axp202_vbus_over_vol_irq = 1 << 4
axp202_acin_removed_irq = 1 << 5
axp202_acin_connect_irq = 1 << 6
axp202_acin_over_vol_irq = 1 << 7
axp202_batt_low_temp_irq = 1 << 8
axp202_batt_over_temp_irq = 1 << 9
axp202_charging_finished_irq = 1 << 10
axp202_charging_irq = 1 << 11
axp202_batt_exit_activate_irq = 1 << 12
axp202_batt_activate_irq = 1 << 13
axp202_batt_removed_irq = 1 << 14
axp202_batt_connect_irq = 1 << 15
axp202_pek_longpress_irq = 1 << 16
axp202_pek_shortpress_irq = 1 << 17
axp202_ldo3_low_vol_irq = 1 << 18
axp202_dc3_low_vol_irq = 1 << 19
axp202_dc2_low_vol_irq = 1 << 20
axp202_charge_low_cur_irq = 1 << 21
axp202_chip_temp_high_irq = 1 << 22
axp202_aps_low_vol_level2_irq = 1 << 24
apx202_aps_low_vol_level1_irq = 1 << 25
axp202_vbus_session_end_irq = 1 << 26
axp202_vbus_session_ab_irq = 1 << 27
axp202_vbus_invalid_irq = 1 << 28
axp202_vbus_vaild_irq = 1 << 29
axp202_noe_off_irq = 1 << 30
axp202_noe_on_irq = 1 << 31
axp202_gpio0_edge_trigger_irq = 1 << 32
axp202_gpio1_edge_trigger_irq = 1 << 33
axp202_gpio2_edge_trigger_irq = 1 << 34
axp202_gpio3_edge_trigger_irq = 1 << 35
axp202_pek_falling_edge_irq = 1 << 37
axp202_pek_rising_edge_irq = 1 << 38
axp202_timer_timeout_irq = 1 << 39
axp202_all_irq = 1099511627775
axp202_ldo3_ldo_mode = 0
axp202_ldo3_dcin_mode = 1
axp202_ldo4_1250_mv = 0
axp202_ldo4_1300_mv = 1
axp202_ldo4_1400_mv = 2
axp202_ldo4_1500_mv = 3
axp202_ldo4_1600_mv = 4
axp202_ldo4_1700_mv = 5
axp202_ldo4_1800_mv = 6
axp202_ldo4_1900_mv = 7
axp202_ldo4_2000_mv = 8
axp202_ldo4_2500_mv = 9
axp202_ldo4_2700_mv = 10
axp202_ldo4_2800_mv = 11
axp202_ldo4_3000_mv = 12
axp202_ldo4_3100_mv = 13
axp202_ldo4_3200_mv = 14
axp202_ldo4_3300_mv = 15
axp202_startup_time_128_ms = 0
axp202_startup_time_3_s = 1
axp202_startup_time_1_s = 2
axp202_startup_time_2_s = 3
axp202_longpress_time_1_s = 0
axp202_longpress_time_1_s5 = 1
axp202_longpress_time_2_s = 2
axp202_longpress_time_2_s5 = 3
axp202_shutdown_time_4_s = 0
axp202_shutdown_time_6_s = 1
axp202_shutdown_time_8_s = 2
axp202_shutdown_time_10_s = 3
axp202_target_vol_4_1_v = 0
axp202_target_vol_4_15_v = 1
axp202_target_vol_4_2_v = 2
axp202_target_vol_4_36_v = 3
axp20_x_led_off = 0
axp20_x_led_blink_1_hz = 1
axp20_x_led_blink_4_hz = 2
axp20_x_led_low_level = 3
axp202_ldo5_1800_mv = 0
axp202_ldo5_2500_mv = 1
axp202_ldo5_2800_mv = 2
axp202_ldo5_3000_mv = 3
axp202_ldo5_3100_mv = 4
axp202_ldo5_3300_mv = 5
axp202_ldo5_3400_mv = 6
axp202_ldo5_3500_mv = 7
axp202_ldo3_mode_ldo = 0
axp202_ldo3_mode_dcin = 1
axp_power_off_time_4_s = 0
axp_power_off_time_65 = 1
axp_power_off_time_8_s = 2
axp_power_off_time_16_s = 3
axp_longpress_time_1_s = 0
axp_longpress_time_1_s5 = 1
axp_longpress_time_2_s = 2
axp_longpress_time_2_s5 = 3
axp192_startup_time_128_ms = 0
axp192_startup_time_512_ms = 1
axp192_startup_time_1_s = 2
axp192_startup_time_2_s = 3
axp202_startup_time_128_ms = 0
axp202_startup_time_3_s = 1
axp202_startup_time_1_s = 2
axp202_startup_time_2_s = 3 |
def format_interval(t):
mins, s = divmod(int(t), 60)
h, m = divmod(mins, 60)
if h:
return '{0:d}:{1:02d}:{2:02d}'.format(h, m, s)
else:
return '{0:02d}:{1:02d}'.format(m, s)
def decode_format_dict(fm):
elapsed_str = format_interval(fm['elapsed'])
remaining = (fm['total'] - fm['n']) / fm['rate'] if fm['rate'] and fm['total'] else 0
remaining_str = format_interval(remaining) if fm['rate'] else '?'
inv_rate = 1 / fm['rate'] if fm['rate'] else None
rate_noinv_str = ('{0:5.2f}'.format(fm['rate']) if fm['rate'] else '?') + 'it/s'
rate_inv_str = ('{0:5.2f}'.format(inv_rate) if inv_rate else '?') + 's/it'
rate_str = rate_inv_str if inv_rate and inv_rate > 1 else rate_noinv_str
ratio = round(fm['n'] / fm['total'] * 100)
return '{:0>3d}%, {}/{}<br>{}<{}, {}'.format(ratio, fm['n'], fm['total'], elapsed_str, remaining_str, rate_str)
| def format_interval(t):
(mins, s) = divmod(int(t), 60)
(h, m) = divmod(mins, 60)
if h:
return '{0:d}:{1:02d}:{2:02d}'.format(h, m, s)
else:
return '{0:02d}:{1:02d}'.format(m, s)
def decode_format_dict(fm):
elapsed_str = format_interval(fm['elapsed'])
remaining = (fm['total'] - fm['n']) / fm['rate'] if fm['rate'] and fm['total'] else 0
remaining_str = format_interval(remaining) if fm['rate'] else '?'
inv_rate = 1 / fm['rate'] if fm['rate'] else None
rate_noinv_str = ('{0:5.2f}'.format(fm['rate']) if fm['rate'] else '?') + 'it/s'
rate_inv_str = ('{0:5.2f}'.format(inv_rate) if inv_rate else '?') + 's/it'
rate_str = rate_inv_str if inv_rate and inv_rate > 1 else rate_noinv_str
ratio = round(fm['n'] / fm['total'] * 100)
return '{:0>3d}%, {}/{}<br>{}<{}, {}'.format(ratio, fm['n'], fm['total'], elapsed_str, remaining_str, rate_str) |
# Initialize search space
# Initialize model
while not objective_reached and not bugdget_exhausted:
# Obtain new hyperparameters
suggestion = GetSuggestions()
# Run trial with new hyperparameters; collect metrics
metrics = RunTrial(suggestion)
# Report metrics
Report(metrics)
| while not objective_reached and (not bugdget_exhausted):
suggestion = get_suggestions()
metrics = run_trial(suggestion)
report(metrics) |
class Solution(object):
def findMissingRanges(self, nums, lower, upper):
"""
:type nums: List[int]
:type lower: int
:type upper: int
:rtype: List[str]
"""
res = []
nums = [lower - 1] + nums + [upper + 1]
nums = nums[::-1]
while nums:
x = nums.pop()
if x > lower + 2:
res.append(str(lower + 1) + '->'+ str(x - 1))
elif x == lower + 2:
res.append(str(lower + 1))
lower = x
return res | class Solution(object):
def find_missing_ranges(self, nums, lower, upper):
"""
:type nums: List[int]
:type lower: int
:type upper: int
:rtype: List[str]
"""
res = []
nums = [lower - 1] + nums + [upper + 1]
nums = nums[::-1]
while nums:
x = nums.pop()
if x > lower + 2:
res.append(str(lower + 1) + '->' + str(x - 1))
elif x == lower + 2:
res.append(str(lower + 1))
lower = x
return res |
# Settings
DEBUG = True
# Setting TESTING to True disables @login_required checks
TESTING = False
CACHE_TYPE = 'simple'
## SQLite Connection
SQLALCHEMY_DATABASE_URI = 'sqlite:///db.sqlite'
# Local PostgreSQL Connection
# SQLALCHEMY_DATABASE_URI = 'postgresql://puser:Password1@localhost/devdb'
SECRET_KEY = 'a9eec0e0-23b7-4788-9a92-318347b9a39a'
SQLALCHEMY_TRACK_MODIFICATIONS = False
# Flask-Mail
MAIL_DEFAULT_SENDER = 'info@flaskproject.us'
MAIL_SERVER = 'smtp.postmarkapp.com'
MAIL_PORT = 25
MAIL_USE_TLS = True
MAIL_USERNAME = 'username'
MAIL_PASSWORD = 'password'
# Flask-Security
SECURITY_CONFIRMABLE = False
SECURITY_CHANGEABLE = True
SECURITY_REGISTERABLE = True
SECURITY_POST_CHANGE_VIEW = '/user'
SECURITY_POST_LOGIN_VIEW = '/main'
SECURITY_POST_LOGOUT_VIEW = '/'
SECURITY_SEND_PASSWORD_CHANGE_EMAIL = False
SECURITY_POST_REGISTER_VIEW = '/main'
SECURITY_SEND_REGISTER_EMAIL = False
SECURITY_TRACKABLE = True
SECURITY_PASSWORD_SALT = 'Some_salt'
# Configure logging
LOGGING_FORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
# Flask-APScheduler
JOBS = [
{
'id': 'job1',
'func': 'flaskproject.apsjobs:events_check',
'trigger': 'interval',
'seconds': 30
}
]
SCHEDULER_VIEWS_ENABLED = True
| debug = True
testing = False
cache_type = 'simple'
sqlalchemy_database_uri = 'sqlite:///db.sqlite'
secret_key = 'a9eec0e0-23b7-4788-9a92-318347b9a39a'
sqlalchemy_track_modifications = False
mail_default_sender = 'info@flaskproject.us'
mail_server = 'smtp.postmarkapp.com'
mail_port = 25
mail_use_tls = True
mail_username = 'username'
mail_password = 'password'
security_confirmable = False
security_changeable = True
security_registerable = True
security_post_change_view = '/user'
security_post_login_view = '/main'
security_post_logout_view = '/'
security_send_password_change_email = False
security_post_register_view = '/main'
security_send_register_email = False
security_trackable = True
security_password_salt = 'Some_salt'
logging_format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
jobs = [{'id': 'job1', 'func': 'flaskproject.apsjobs:events_check', 'trigger': 'interval', 'seconds': 30}]
scheduler_views_enabled = True |
# OGC GeoTIFF
specURL = "http://docs.opengeospatial.org/is/19-008r4/19-008r4.html"
fout = open("../mappings/19-008r4.csv","w") # output file
fin = open("../specifications/19-008r4.txt","r") # input file
elementList = []
# processing the input file
for line in fin:
tokens = line.split()
for token in tokens:
if token.endswith(","):
token = token.replace(",","")
if "/req/" in token:
elementList.append(token)
if "/conf/" in token:
elementList.append(token)
# Handling duplicates
elementList = list(dict.fromkeys(elementList)) # remove duplicates
elementList.remove("http://www.opengis.net/spec/GeoTIFF/1.1/conf/TIFF.Tags.") # this is also a duplicate that is missed by the previous line because of period at end
# Now we write out the output
for e in elementList:
fout.write(specURL+","+e+"\n")
| spec_url = 'http://docs.opengeospatial.org/is/19-008r4/19-008r4.html'
fout = open('../mappings/19-008r4.csv', 'w')
fin = open('../specifications/19-008r4.txt', 'r')
element_list = []
for line in fin:
tokens = line.split()
for token in tokens:
if token.endswith(','):
token = token.replace(',', '')
if '/req/' in token:
elementList.append(token)
if '/conf/' in token:
elementList.append(token)
element_list = list(dict.fromkeys(elementList))
elementList.remove('http://www.opengis.net/spec/GeoTIFF/1.1/conf/TIFF.Tags.')
for e in elementList:
fout.write(specURL + ',' + e + '\n') |
class Solution(object):
def isValid(self, s):
"""
:type s: str
:rtype: bool
"""
# The stack to keep track of opening brackets.
stack = []
open_par = set(["(", "[", "{"])
# Hash map for keeping track of mappings. This keeps the code very clean.
# Also makes adding more types of parenthesis easier
mapping = {"(": ")", "{" : "}", "[":"]"}
#for every bracket in the expression s
for i in s:
#check if element i belongs to set of open parentheses
#if the character is an open bracket
if i in open_par:
#push it onto the stack
stack.append(i)
#check if list is not empty and there is a close bracket for the open bracket
#pop the topmost element from stack
elif stack and i == mapping[stack[-1]]:
stack.pop()
else:
#otherwise, elements don't match, return false
return False
# In the end, if the stack is empty, then we have a valid expression.
# The stack won't be empty for cases like ((()
#return not stack
return stack == []
| class Solution(object):
def is_valid(self, s):
"""
:type s: str
:rtype: bool
"""
stack = []
open_par = set(['(', '[', '{'])
mapping = {'(': ')', '{': '}', '[': ']'}
for i in s:
if i in open_par:
stack.append(i)
elif stack and i == mapping[stack[-1]]:
stack.pop()
else:
return False
return stack == [] |
STUDENT_CODE_DEFAULT = 'analysis.py,qlearningAgents.py,valueIterationAgents.py'
PROJECT_TEST_CLASSES = 'reinforcementTestClasses.py'
PROJECT_NAME = 'Project 3: Reinforcement learning'
BONUS_PIC = False
| student_code_default = 'analysis.py,qlearningAgents.py,valueIterationAgents.py'
project_test_classes = 'reinforcementTestClasses.py'
project_name = 'Project 3: Reinforcement learning'
bonus_pic = False |
def findLongestWord(s, d):
def isSubsequence(x):
iterator_of_s = iter(s)#all chars of s
return all(c in iterator_of_s for c in x)
return max(sorted(filter(isSubsequence, d)) + [''], key=len)
if __name__ == "__main__":
s = "abpcplea"
d = ["ale","apple","monkey","plea"]
print(findLongestWord(s, d))
x = "ale"
iterator_of_s = iter(s)
print(iterator_of_s)
chars_of_x = [c for c in x]
print(chars_of_x)
chars_of_x_in_s = [c in iterator_of_s for c in x]
print(chars_of_x_in_s)
print(all(c in iterator_of_s for c in x))
print(all(chars_of_x_in_s)) | def find_longest_word(s, d):
def is_subsequence(x):
iterator_of_s = iter(s)
return all((c in iterator_of_s for c in x))
return max(sorted(filter(isSubsequence, d)) + [''], key=len)
if __name__ == '__main__':
s = 'abpcplea'
d = ['ale', 'apple', 'monkey', 'plea']
print(find_longest_word(s, d))
x = 'ale'
iterator_of_s = iter(s)
print(iterator_of_s)
chars_of_x = [c for c in x]
print(chars_of_x)
chars_of_x_in_s = [c in iterator_of_s for c in x]
print(chars_of_x_in_s)
print(all((c in iterator_of_s for c in x)))
print(all(chars_of_x_in_s)) |
class Config:
'''
General configuration parent class
'''
pass
class ProdConfig(Config):
'''
Production configuration child class
Args:
config:The parent configuration class
with general configuration settings
'''
pass
class DevConfig(Config):
'''
Development configuration child class
Args:
Config:The parent configuration class with General configuration
settings.
'''
DEBUG = True | class Config:
"""
General configuration parent class
"""
pass
class Prodconfig(Config):
"""
Production configuration child class
Args:
config:The parent configuration class
with general configuration settings
"""
pass
class Devconfig(Config):
"""
Development configuration child class
Args:
Config:The parent configuration class with General configuration
settings.
"""
debug = True |
## Just to use the same value of a variable in more than just one file;
## That way, will only need to change value here
SIZE = 600 # Size of game board, in pixels
ROWS = 20 # How many rows the playable game will have
DELAY = 50 # Delay time for the game execution, in milliseconds
TICK = 10 # Essentially, it's how many frames per second the game will update
| size = 600
rows = 20
delay = 50
tick = 10 |
def sanitize(string):
newString = ""
flag = False
for letter in string:
if letter == '@':
flag = True
elif letter == ' ':
flag = False
if flag:
continue
else:
if letter != ' ':
newString += letter
return newString.strip()
def readGrammer(fileName):
noneTerminals = list()
terminals = list()
startSymbol = ""
rules = dict()
with open(fileName) as inputFile:
index = 1
lines = inputFile.readlines()
for line in lines:
if index == 1:
for noneTerminal in line.strip().split(','):
if(len(noneTerminal) > 1):
raise NameError('none terminal can not be more than 1 chars.')
if noneTerminal in noneTerminals:
raise NameError(f'none terminal {noneTerminal}is repeated!')
noneTerminals.append(noneTerminal.upper())
index += 1
elif index == 2:
for terminal in line.strip().split(','):
terminals.append(terminal.lower())
index += 1
elif index == 3:
char = line.strip()
if len(char) > 1:
raise NameError(f'Start symbol can not be greater than one char!')
if char not in noneTerminals:
raise NameError(f'Start symbol is not in noneTerminals!')
startSymbol = char
index += 1
else:
left, right = line.strip().split('->')
left = left.strip()
right = right.strip()
if left.islower():
raise NameError(f'{left} can not be lowercase!')
if left not in noneTerminals:
raise NameError(f'{left} is not in none terminals!')
newRight = sanitize(right).strip()
word = ""
for letter in newRight:
if letter == ' ' or letter == '~':
continue
if letter.isupper():
if word:
if word not in terminals:
raise NameError(f'{word} is not in terminals!')
word = ""
if letter not in noneTerminals:
raise NameError(f'{letter} is not in none terminals!')
else:
word += letter
if word:
if word not in terminals:
raise NameError(f'{word} is not in terminals!')
#left -> right {}
if left in rules:
rules[left].append(right)
else:
rules[left] = [right]
return (noneTerminals, terminals, startSymbol, rules)
def readInput(fileName):
with open(fileName) as inputFile:
return inputFile.readline().strip() | def sanitize(string):
new_string = ''
flag = False
for letter in string:
if letter == '@':
flag = True
elif letter == ' ':
flag = False
if flag:
continue
elif letter != ' ':
new_string += letter
return newString.strip()
def read_grammer(fileName):
none_terminals = list()
terminals = list()
start_symbol = ''
rules = dict()
with open(fileName) as input_file:
index = 1
lines = inputFile.readlines()
for line in lines:
if index == 1:
for none_terminal in line.strip().split(','):
if len(noneTerminal) > 1:
raise name_error('none terminal can not be more than 1 chars.')
if noneTerminal in noneTerminals:
raise name_error(f'none terminal {noneTerminal}is repeated!')
noneTerminals.append(noneTerminal.upper())
index += 1
elif index == 2:
for terminal in line.strip().split(','):
terminals.append(terminal.lower())
index += 1
elif index == 3:
char = line.strip()
if len(char) > 1:
raise name_error(f'Start symbol can not be greater than one char!')
if char not in noneTerminals:
raise name_error(f'Start symbol is not in noneTerminals!')
start_symbol = char
index += 1
else:
(left, right) = line.strip().split('->')
left = left.strip()
right = right.strip()
if left.islower():
raise name_error(f'{left} can not be lowercase!')
if left not in noneTerminals:
raise name_error(f'{left} is not in none terminals!')
new_right = sanitize(right).strip()
word = ''
for letter in newRight:
if letter == ' ' or letter == '~':
continue
if letter.isupper():
if word:
if word not in terminals:
raise name_error(f'{word} is not in terminals!')
word = ''
if letter not in noneTerminals:
raise name_error(f'{letter} is not in none terminals!')
else:
word += letter
if word:
if word not in terminals:
raise name_error(f'{word} is not in terminals!')
if left in rules:
rules[left].append(right)
else:
rules[left] = [right]
return (noneTerminals, terminals, startSymbol, rules)
def read_input(fileName):
with open(fileName) as input_file:
return inputFile.readline().strip() |
# -*- coding: utf-8 -*-
"""
**Gen_Pnf_With__int__.py**
- Copyright (c) 2019, KNC Solutions Private Limited.
- License: 'Apache License, Version 2.0'.
- version: 1.0.0
""" | """
**Gen_Pnf_With__int__.py**
- Copyright (c) 2019, KNC Solutions Private Limited.
- License: 'Apache License, Version 2.0'.
- version: 1.0.0
""" |
class Solution:
def countElements(self, arr: List[int]) -> int:
table = set(arr)
return sum(x + 1 in table for x in arr)
| class Solution:
def count_elements(self, arr: List[int]) -> int:
table = set(arr)
return sum((x + 1 in table for x in arr)) |
if __name__ == "__main__":
# Initialization
haystack = "Hello, Budgie!"
print(haystack)
# Concatenation
joined = "It is -> " + haystack + " <- It was"
print(joined)
# Characters
text = "abc"
first = text[0]
print("{0}'s first character is {1}.".format(text, first))
# Searching
needle = "Budgie"
firstIndexOf = haystack.find(needle)
secondIndexOf = haystack.find(needle, firstIndexOf + len(needle))
# Results
print("Found a first result at: {0}.".format(firstIndexOf))
if secondIndexOf != -1:
print("Found a second result at: {0}.".format(secondIndexOf))
| if __name__ == '__main__':
haystack = 'Hello, Budgie!'
print(haystack)
joined = 'It is -> ' + haystack + ' <- It was'
print(joined)
text = 'abc'
first = text[0]
print("{0}'s first character is {1}.".format(text, first))
needle = 'Budgie'
first_index_of = haystack.find(needle)
second_index_of = haystack.find(needle, firstIndexOf + len(needle))
print('Found a first result at: {0}.'.format(firstIndexOf))
if secondIndexOf != -1:
print('Found a second result at: {0}.'.format(secondIndexOf)) |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution(object):
def levelOrder(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
if root is None: return []
q = [[root]]
for level in q:
record = []
for node in level:
if node.left: record.append(node.left)
if node.right: record.append(node.right)
if record: q.append(record)
return [[x.val for x in level] for level in q] | class Solution(object):
def level_order(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
if root is None:
return []
q = [[root]]
for level in q:
record = []
for node in level:
if node.left:
record.append(node.left)
if node.right:
record.append(node.right)
if record:
q.append(record)
return [[x.val for x in level] for level in q] |
#
# PySNMP MIB module CTRON-SFPS-SIZE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CTRON-SFPS-SIZE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:31:11 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)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection, SingleValueConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ValueRangeConstraint")
sfpsSizeService, sfpsSizeServiceAPI = mibBuilder.importSymbols("CTRON-SFPS-INCLUDE-MIB", "sfpsSizeService", "sfpsSizeServiceAPI")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Integer32, NotificationType, Unsigned32, IpAddress, MibIdentifier, TimeTicks, Counter32, Bits, ObjectIdentity, ModuleIdentity, Counter64, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, iso = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "NotificationType", "Unsigned32", "IpAddress", "MibIdentifier", "TimeTicks", "Counter32", "Bits", "ObjectIdentity", "ModuleIdentity", "Counter64", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
sfpsSizeServiceTable = MibTable((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1), )
if mibBuilder.loadTexts: sfpsSizeServiceTable.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceTable.setDescription("Displays the current status of the SizeService. This table displays how much was granted to each user, how much was requested, the number of times they've requested, the status, etc. Note :: The <user> refers to the object/code/whatever which makes a request to the SizeService.")
sfpsSizeServiceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1), ).setIndexNames((0, "CTRON-SFPS-SIZE-MIB", "sfpsSizeServiceName"))
if mibBuilder.loadTexts: sfpsSizeServiceEntry.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceEntry.setDescription('An entry in the SfpsSizeServiceTable instanced by ServiceName')
sfpsSizeServiceName = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 1), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceName.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceName.setDescription("Displays the Name of the SizeService 'user'")
sfpsSizeServiceId = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceId.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceId.setDescription('Displays the ID corresponding to the Name above')
sfpsSizeServiceElemSize = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceElemSize.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceElemSize.setDescription('Displays the Element Size for the current user (in bytes).')
sfpsSizeServiceDesired = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceDesired.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceDesired.setDescription('Displays how many Elements/Bytes the current user asked for in SizeRequest')
sfpsSizeServiceGranted = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceGranted.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceGranted.setDescription('Displays how many Elements/Bytes the current user was granted via SizeRequest.')
sfpsSizeServiceIncrement = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceIncrement.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceIncrement.setDescription('Displays total Element/Bytes the user was granted via all IncrementRequest calls.')
sfpsSizeServiceTotalBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceTotalBytes.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceTotalBytes.setDescription('Displays the total number of Bytes the current user was granted (SizeRequest & IncrementRequest).')
sfpsSizeServiceNbrCalls = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceNbrCalls.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceNbrCalls.setDescription('Displays the number of requests the current user has made to the SizeService.')
sfpsSizeServiceRtnStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("ok", 1), ("nvramOk", 2), ("unknown", 3), ("notAllowed", 4), ("nonApiOk", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceRtnStatus.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceRtnStatus.setDescription('Displays the Status of the current user.')
sfpsSizeServiceHowGranted = MibTableColumn((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("elements", 1), ("memory", 2), ("other", 3), ("notAllowed", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceHowGranted.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceHowGranted.setDescription("Displays how the current user was granted it's memory.")
sfpsSizeServiceAPIVerb = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("other", 1), ("next", 2), ("prev", 3), ("set", 4), ("clear", 5), ("clearAll", 6)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sfpsSizeServiceAPIVerb.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPIVerb.setDescription('The action desired to perform on the SizeService Table')
sfpsSizeServiceAPIName = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 2), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sfpsSizeServiceAPIName.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPIName.setDescription('Name of the SizeService <user>')
sfpsSizeServiceAPIId = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 3), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sfpsSizeServiceAPIId.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPIId.setDescription('ID corresponding to the sfpsSizeServiceAPIName')
sfpsSizeServiceAPIGrant = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 4), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sfpsSizeServiceAPIGrant.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPIGrant.setDescription('Number of Elements/Bytes being requested via SizeRequest.')
sfpsSizeServiceAPIIncrement = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 5), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sfpsSizeServiceAPIIncrement.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPIIncrement.setDescription('Total Element/Bytes being requested via IncrementRequest')
sfpsSizeServiceAPINumberSet = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceAPINumberSet.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPINumberSet.setDescription('The Number to set.')
sfpsSizeServiceAPIVersion = MibScalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sfpsSizeServiceAPIVersion.setStatus('mandatory')
if mibBuilder.loadTexts: sfpsSizeServiceAPIVersion.setDescription('The version.')
mibBuilder.exportSymbols("CTRON-SFPS-SIZE-MIB", sfpsSizeServiceHowGranted=sfpsSizeServiceHowGranted, sfpsSizeServiceAPIGrant=sfpsSizeServiceAPIGrant, sfpsSizeServiceAPIVerb=sfpsSizeServiceAPIVerb, sfpsSizeServiceAPIName=sfpsSizeServiceAPIName, sfpsSizeServiceAPIId=sfpsSizeServiceAPIId, sfpsSizeServiceTotalBytes=sfpsSizeServiceTotalBytes, sfpsSizeServiceTable=sfpsSizeServiceTable, sfpsSizeServiceNbrCalls=sfpsSizeServiceNbrCalls, sfpsSizeServiceAPIVersion=sfpsSizeServiceAPIVersion, sfpsSizeServiceElemSize=sfpsSizeServiceElemSize, sfpsSizeServiceIncrement=sfpsSizeServiceIncrement, sfpsSizeServiceAPINumberSet=sfpsSizeServiceAPINumberSet, sfpsSizeServiceAPIIncrement=sfpsSizeServiceAPIIncrement, sfpsSizeServiceGranted=sfpsSizeServiceGranted, sfpsSizeServiceDesired=sfpsSizeServiceDesired, sfpsSizeServiceId=sfpsSizeServiceId, sfpsSizeServiceEntry=sfpsSizeServiceEntry, sfpsSizeServiceRtnStatus=sfpsSizeServiceRtnStatus, sfpsSizeServiceName=sfpsSizeServiceName)
| (integer, octet_string, object_identifier) = mibBuilder.importSymbols('ASN1', 'Integer', 'OctetString', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, value_size_constraint, constraints_intersection, single_value_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueSizeConstraint', 'ConstraintsIntersection', 'SingleValueConstraint', 'ValueRangeConstraint')
(sfps_size_service, sfps_size_service_api) = mibBuilder.importSymbols('CTRON-SFPS-INCLUDE-MIB', 'sfpsSizeService', 'sfpsSizeServiceAPI')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(integer32, notification_type, unsigned32, ip_address, mib_identifier, time_ticks, counter32, bits, object_identity, module_identity, counter64, gauge32, mib_scalar, mib_table, mib_table_row, mib_table_column, iso) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'NotificationType', 'Unsigned32', 'IpAddress', 'MibIdentifier', 'TimeTicks', 'Counter32', 'Bits', 'ObjectIdentity', 'ModuleIdentity', 'Counter64', 'Gauge32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'iso')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
sfps_size_service_table = mib_table((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1))
if mibBuilder.loadTexts:
sfpsSizeServiceTable.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceTable.setDescription("Displays the current status of the SizeService. This table displays how much was granted to each user, how much was requested, the number of times they've requested, the status, etc. Note :: The <user> refers to the object/code/whatever which makes a request to the SizeService.")
sfps_size_service_entry = mib_table_row((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1)).setIndexNames((0, 'CTRON-SFPS-SIZE-MIB', 'sfpsSizeServiceName'))
if mibBuilder.loadTexts:
sfpsSizeServiceEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceEntry.setDescription('An entry in the SfpsSizeServiceTable instanced by ServiceName')
sfps_size_service_name = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 1), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceName.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceName.setDescription("Displays the Name of the SizeService 'user'")
sfps_size_service_id = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceId.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceId.setDescription('Displays the ID corresponding to the Name above')
sfps_size_service_elem_size = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 3), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceElemSize.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceElemSize.setDescription('Displays the Element Size for the current user (in bytes).')
sfps_size_service_desired = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceDesired.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceDesired.setDescription('Displays how many Elements/Bytes the current user asked for in SizeRequest')
sfps_size_service_granted = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceGranted.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceGranted.setDescription('Displays how many Elements/Bytes the current user was granted via SizeRequest.')
sfps_size_service_increment = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 6), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceIncrement.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceIncrement.setDescription('Displays total Element/Bytes the user was granted via all IncrementRequest calls.')
sfps_size_service_total_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 7), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceTotalBytes.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceTotalBytes.setDescription('Displays the total number of Bytes the current user was granted (SizeRequest & IncrementRequest).')
sfps_size_service_nbr_calls = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 8), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceNbrCalls.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceNbrCalls.setDescription('Displays the number of requests the current user has made to the SizeService.')
sfps_size_service_rtn_status = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('ok', 1), ('nvramOk', 2), ('unknown', 3), ('notAllowed', 4), ('nonApiOk', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceRtnStatus.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceRtnStatus.setDescription('Displays the Status of the current user.')
sfps_size_service_how_granted = mib_table_column((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 1, 1, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('elements', 1), ('memory', 2), ('other', 3), ('notAllowed', 4)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceHowGranted.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceHowGranted.setDescription("Displays how the current user was granted it's memory.")
sfps_size_service_api_verb = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('other', 1), ('next', 2), ('prev', 3), ('set', 4), ('clear', 5), ('clearAll', 6)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIVerb.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIVerb.setDescription('The action desired to perform on the SizeService Table')
sfps_size_service_api_name = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 2), display_string()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIName.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIName.setDescription('Name of the SizeService <user>')
sfps_size_service_api_id = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 3), integer32()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIId.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIId.setDescription('ID corresponding to the sfpsSizeServiceAPIName')
sfps_size_service_api_grant = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 4), display_string()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIGrant.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIGrant.setDescription('Number of Elements/Bytes being requested via SizeRequest.')
sfps_size_service_api_increment = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 5), integer32()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIIncrement.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIIncrement.setDescription('Total Element/Bytes being requested via IncrementRequest')
sfps_size_service_api_number_set = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 6), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceAPINumberSet.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPINumberSet.setDescription('The Number to set.')
sfps_size_service_api_version = mib_scalar((1, 3, 6, 1, 4, 1, 52, 4, 2, 4, 2, 1, 14, 2, 7), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIVersion.setStatus('mandatory')
if mibBuilder.loadTexts:
sfpsSizeServiceAPIVersion.setDescription('The version.')
mibBuilder.exportSymbols('CTRON-SFPS-SIZE-MIB', sfpsSizeServiceHowGranted=sfpsSizeServiceHowGranted, sfpsSizeServiceAPIGrant=sfpsSizeServiceAPIGrant, sfpsSizeServiceAPIVerb=sfpsSizeServiceAPIVerb, sfpsSizeServiceAPIName=sfpsSizeServiceAPIName, sfpsSizeServiceAPIId=sfpsSizeServiceAPIId, sfpsSizeServiceTotalBytes=sfpsSizeServiceTotalBytes, sfpsSizeServiceTable=sfpsSizeServiceTable, sfpsSizeServiceNbrCalls=sfpsSizeServiceNbrCalls, sfpsSizeServiceAPIVersion=sfpsSizeServiceAPIVersion, sfpsSizeServiceElemSize=sfpsSizeServiceElemSize, sfpsSizeServiceIncrement=sfpsSizeServiceIncrement, sfpsSizeServiceAPINumberSet=sfpsSizeServiceAPINumberSet, sfpsSizeServiceAPIIncrement=sfpsSizeServiceAPIIncrement, sfpsSizeServiceGranted=sfpsSizeServiceGranted, sfpsSizeServiceDesired=sfpsSizeServiceDesired, sfpsSizeServiceId=sfpsSizeServiceId, sfpsSizeServiceEntry=sfpsSizeServiceEntry, sfpsSizeServiceRtnStatus=sfpsSizeServiceRtnStatus, sfpsSizeServiceName=sfpsSizeServiceName) |
s = 'abc12321cba'
print(s.replace('a', ''))
s = 'abc12321cba'
print(s.translate({ord('a'): None}))
print(s.translate({ord(i): None for i in 'abc'}))
# removing spaces from a string
s = ' 1 2 3 4 '
print(s.replace(' ', ''))
print(s.translate({ord(i): None for i in ' '}))
# remove substring from string
s = 'ab12abc34ba'
print(s.replace('ab', ''))
# remove newline
s = 'ab\ncd\nef'
print(s.replace('\n', ''))
print(s.translate({ord('\n'): None}))
| s = 'abc12321cba'
print(s.replace('a', ''))
s = 'abc12321cba'
print(s.translate({ord('a'): None}))
print(s.translate({ord(i): None for i in 'abc'}))
s = ' 1 2 3 4 '
print(s.replace(' ', ''))
print(s.translate({ord(i): None for i in ' '}))
s = 'ab12abc34ba'
print(s.replace('ab', ''))
s = 'ab\ncd\nef'
print(s.replace('\n', ''))
print(s.translate({ord('\n'): None})) |
# author: WatchDogOblivion
# description: TODO
# WatchDogs List Utility
class ListUtility(object):
@staticmethod
def group(lst, groupSize):
#type: (list, int) -> list
finalList = []
groupSizeList = range(0, len(lst), groupSize)
for groupSizeIndex in groupSizeList:
finalList.append(lst[groupSizeIndex:groupSizeIndex + groupSize])
return finalList | class Listutility(object):
@staticmethod
def group(lst, groupSize):
final_list = []
group_size_list = range(0, len(lst), groupSize)
for group_size_index in groupSizeList:
finalList.append(lst[groupSizeIndex:groupSizeIndex + groupSize])
return finalList |
# Union of list
a = ["apple","Orange"]
b = ["Banana","Chocolate"]
c = list(set().union(a,b))
print(c) | a = ['apple', 'Orange']
b = ['Banana', 'Chocolate']
c = list(set().union(a, b))
print(c) |
# -*- coding: utf-8 -*-
""" TcEx Error Codes """
class TcExErrorCodes(object):
"""TcEx Framework Error Codes."""
@property
def errors(self):
"""TcEx defined error codes and messages.
.. note:: RuntimeErrors with a code of >= 1000 are considered critical. Those < 1000
are considered warning or errors and are up to the developer to determine the appropriate
behavior.
"""
return {
# tcex general errors
100: 'Generic error. See log for more details ({}).',
105: 'Required Module is not installed ({}).',
200: 'Failed retrieving Custom Indicator Associations types from API ({}).',
210: 'Failure during token renewal ({}).',
215: 'HMAC authorization requires a PreparedRequest Object.',
220: 'Failed retrieving indicator types from API ({}).',
# tcex resource
300: 'Failed retrieving Bulk JSON ({}).',
305: 'An invalid action/association name ({}) was provided.',
350: 'Data Store request failed. API status code: {}, API message: {}.',
# batch v2 warn: 500-600
520: 'File Occurrences can only be added to a File. Current type: {}.',
540: 'Failed polling batch status ({}).',
545: 'Failed polling batch status. API status code: {}, API message: {}.',
560: 'Failed retrieving batch errors ({}).',
580: 'Failed posting file data ({}).',
585: 'Failed posting file data. API status code: {}, API message: {}.',
590: 'No hash values provided.',
# metrics
700: 'Failed to create metric. API status code: {}, API message: {}.',
705: 'Error while finding metric by name. API status code: {}, API message: {}.',
710: 'Failed to add metric data. API status code: {}, API message: {}.',
715: 'No metric ID found for "{}".',
# batch v2 critical: 1500-1600
1500: 'Critical batch error ({}).',
1505: 'Failed submitting batch job requests ({}).',
1510: 'Failed submitting batch job requests. API status code: {}, API message: {}.',
1520: 'Failed submitting batch data ({}).',
1525: 'Failed submitting batch data. API status code: {}, API message: {}.',
}
def message(self, code):
"""Return the error message.
Args:
code (integer): The error code integer.
Returns:
(string): The error message.
"""
return self.errors.get(code)
| """ TcEx Error Codes """
class Tcexerrorcodes(object):
"""TcEx Framework Error Codes."""
@property
def errors(self):
"""TcEx defined error codes and messages.
.. note:: RuntimeErrors with a code of >= 1000 are considered critical. Those < 1000
are considered warning or errors and are up to the developer to determine the appropriate
behavior.
"""
return {100: 'Generic error. See log for more details ({}).', 105: 'Required Module is not installed ({}).', 200: 'Failed retrieving Custom Indicator Associations types from API ({}).', 210: 'Failure during token renewal ({}).', 215: 'HMAC authorization requires a PreparedRequest Object.', 220: 'Failed retrieving indicator types from API ({}).', 300: 'Failed retrieving Bulk JSON ({}).', 305: 'An invalid action/association name ({}) was provided.', 350: 'Data Store request failed. API status code: {}, API message: {}.', 520: 'File Occurrences can only be added to a File. Current type: {}.', 540: 'Failed polling batch status ({}).', 545: 'Failed polling batch status. API status code: {}, API message: {}.', 560: 'Failed retrieving batch errors ({}).', 580: 'Failed posting file data ({}).', 585: 'Failed posting file data. API status code: {}, API message: {}.', 590: 'No hash values provided.', 700: 'Failed to create metric. API status code: {}, API message: {}.', 705: 'Error while finding metric by name. API status code: {}, API message: {}.', 710: 'Failed to add metric data. API status code: {}, API message: {}.', 715: 'No metric ID found for "{}".', 1500: 'Critical batch error ({}).', 1505: 'Failed submitting batch job requests ({}).', 1510: 'Failed submitting batch job requests. API status code: {}, API message: {}.', 1520: 'Failed submitting batch data ({}).', 1525: 'Failed submitting batch data. API status code: {}, API message: {}.'}
def message(self, code):
"""Return the error message.
Args:
code (integer): The error code integer.
Returns:
(string): The error message.
"""
return self.errors.get(code) |
def part1(code):
i = 0;
while i < 7 * 365:
i = i << 2 | 0b10;
return i - 7 * 365
def part2(code):
...
def parse(line):
xs = line.strip().split()
if len(xs) < 3:
xs.append("")
for i in (1, 2):
try:
xs[i] = int(xs[i])
except ValueError:
pass
return tuple(xs)
def main(inputs):
print("Day 23")
code = list(map(parse, inputs))
A = part1(code)
print(f"{A=}")
B = part2(code)
print(f"{B=}")
| def part1(code):
i = 0
while i < 7 * 365:
i = i << 2 | 2
return i - 7 * 365
def part2(code):
...
def parse(line):
xs = line.strip().split()
if len(xs) < 3:
xs.append('')
for i in (1, 2):
try:
xs[i] = int(xs[i])
except ValueError:
pass
return tuple(xs)
def main(inputs):
print('Day 23')
code = list(map(parse, inputs))
a = part1(code)
print(f'A={A!r}')
b = part2(code)
print(f'B={B!r}') |
def generateWholeBodyMotion(cs, cfg, fullBody=None, viewer=None):
raise NotImplemented("TODO")
| def generate_whole_body_motion(cs, cfg, fullBody=None, viewer=None):
raise not_implemented('TODO') |
class Solution:
def removeDuplicateLetters(self, s: str) -> str:
last_occ = {}
stack = []
visited = set()
for i in range(len(s)):
last_occ[s[i]] = i
for i in range(len(s)):
if s[i] not in visited:
while (stack and stack[-1] > s[i] and last_occ[stack[-1]] > i):
visited.remove(stack.pop())
stack.append(s[i])
visited.add(s[i])
return ''.join(stack)
| class Solution:
def remove_duplicate_letters(self, s: str) -> str:
last_occ = {}
stack = []
visited = set()
for i in range(len(s)):
last_occ[s[i]] = i
for i in range(len(s)):
if s[i] not in visited:
while stack and stack[-1] > s[i] and (last_occ[stack[-1]] > i):
visited.remove(stack.pop())
stack.append(s[i])
visited.add(s[i])
return ''.join(stack) |
[
{"created_at": "Thu Nov 30 21:16:44 +0000 2017", "favorite_count": 268, "hashtags": [], "id": 936343262088097795, "id_str": "936343262088097795", "lang": "en", "retweet_count": 82, "source": "<a href=\"http://bufferapp.com\" rel=\"nofollow\">Buffer</a>", "text": "Automation (not immigrants, @realDonaldTrump) could eliminate 73 MILLION jobs in America by 2030.\n\nWe should be wor\u2026 https://t.co/YztkVMdcGA", "truncated": true, "urls": [{"expanded_url": "https://twitter.com/i/web/status 936343262088097795", "url": "https://t.co/YztkVMdcGA"}], "user": {"created_at": "Mon Feb 07 03:35:59 +0000 2011", "default_profile": true, "description": "Congressman for #MA6. Let's bring a new generation of leadership to Washington.\n\nAll Tweets are my own.", "favourites_count": 3814, "followers_count": 114494, "friends_count": 2087, "geo_enabled": true, "id": 248495200, "lang": "en", "listed_count": 1378, "location": "Salem, MA", "name": "Seth Moulton", "profile_background_color": "C0DEED", "profile_background_image_url": "http://abs.twimg.com/images/themes/theme1/bg.png", "profile_banner_url": "https://pbs.twimg.com/profile_banners/248495200/1423523084", "profile_image_url": "http://pbs.twimg.com/profile_images/530114548854845440/ceX1JfaZ_normal.png", "profile_link_color": "1DA1F2", "profile_sidebar_fill_color": "DDEEF6", "profile_text_color": "333333", "screen_name": "sethmoulton", "statuses_count": 8508, "time_zone": "Eastern Time (US & Canada)", "utc_offset": -18000, "verified": true}, "user_mentions": [{"id": 25073877, "name": "Donald J. Trump", "screen_name": "realDonaldTrump"}]},
{"created_at": "Thu Nov 30 01:44:47 +0000 2017", "favorite_count": 373, "hashtags": [{"text": "TrumpTaxScam"}], "id": 936048329720508416, "id_str": "936048329720508416", "lang": "en", "retweet_count": 203, "source": "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>", "text": "Not that any of us should be expecting Trump to be a man of his word, but it's worth noting the #TrumpTaxScam sends\u2026 https://t.co/vh9rPBsfc6", "truncated": true, "urls": [{"expanded_url": "https://twitter.com/i/web/status/936048329720508416", "url": "https://t.co/vh9rPBsfc6"}], "user": {"created_at": "Mon Apr 14 13:23:16 +0000 2008", "default_profile": true, "description": "Former teacher, diplomat, & Congressman. CEO of WinVA, helping to flip VA House of Delegates to blue.", "favourites_count": 1147, "followers_count": 73177, "friends_count": 1131, "id": 14384907, "lang": "en", "listed_count": 952, "location": "Always Virginian", "name": "Tom Perriello", "profile_background_color": "C0DEED", "profile_background_image_url": "http://abs.twimg.com/images/themes/theme1/bg.png", "profile_banner_url": "https://pbs.twimg.com/profile_banners/14384907/1509827318", "profile_image_url": "http://pbs.twimg.com/profile_images/875742761437327361/yxpaf7zF_normal.jpg", "profile_link_color": "1DA1F2", "profile_sidebar_fill_color": "DDEEF6", "profile_text_color": "333333", "screen_name": "tomperriello", "statuses_count": 7956, "time_zone": "Eastern Time (US & Canada)", "url": "https://t.co/oJ9MLKuh4s", "utc_offset": -18000, "verified": true}, "user_mentions": []},
{"created_at": "Fri Dec 01 02:37:03 +0000 2017", "favorite_count": 221, "hashtags": [], "id": 936423871640678400, "id_str": "936423871640678400", "lang": "en", "retweet_count": 255, "source": "<a href=\"http://www.socialflow.com\" rel=\"nofollow\">SocialFlow</a>", "text": "Robots may steal as many as 800 million jobs in the next 13 years https://t.co/bSAqCwrGSw", "urls": [{"expanded_url": "http://ti.me/2AiPUEq", "url": "https://t.co/bSAqCwrGSw"}], "user": {"created_at": "Thu Apr 03 13:54:30 +0000 2008", "description": "Breaking news and current events from around the globe. Hosted by TIME staff. Tweet questions to our customer service team @TIMEmag_Service.", "favourites_count": 580, "followers_count": 14990056, "friends_count": 848, "geo_enabled": true, "id": 14293310, "lang": "en", "listed_count": 100179, "name": "TIME", "profile_background_color": "CC0000", "profile_background_image_url": "http://pbs.twimg.com/profile_background_images/735228291/107f1a300a90ee713937234bb3d139c0.jpeg", "profile_background_tile": true, "profile_banner_url": "https://pbs.twimg.com/profile_banners/14293310/1403546591", "profile_image_url": "http://pbs.twimg.com/profile_images/1700796190/Picture_24_normal.png", "profile_link_color": "DE3333", "profile_sidebar_fill_color": "D9D9D9", "profile_text_color": "000000", "screen_name": "TIME", "statuses_count": 260119, "time_zone": "Eastern Time (US & Canada)", "url": "http://t.co/4aYbUuAeSh", "utc_offset": -18000, "verified": true}, "user_mentions": []},
{"created_at": "Fri Dec 01 22:17:32 +0000 2017", "hashtags": [{"text": "RoboTwity"}], "id": 936720950044823553, "id_str": "936720950044823553", "lang": "en", "retweet_count": 1, "retweeted_status": {"created_at": "Fri Dec 01 22:13:37 +0000 2017", "favorite_count": 2, "hashtags": [{"text": "RoboTwity"}], "id": 936719963703922688, "id_str": "936719963703922688", "lang": "en", "retweet_count": 1, "source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Lite</a>", "text": "nice and very helpful twitter automation tool!\n#RoboTwity\nhttps://t.co/y6LNnu8C9q", "urls": [{"expanded_url": "https://goo.gl/KyNqQl?91066", "url": "https://t.co/y6LNnu8C9q"}], "user": {"created_at": "Mon Aug 03 15:16:58 +0000 2009", "description": "Se hizo absolutamente necesaria e inevitable una intervenci\u00f3n internacional humanitaria y su primera fase ser\u00e1 militar Hay que destruir el narco estado", "favourites_count": 886, "followers_count": 290645, "friends_count": 267079, "id": 62537327, "lang": "es", "listed_count": 874, "location": "Venezuela", "name": "Alberto Franceschi", "profile_background_color": "C0DEED", "profile_background_image_url": "http://pbs.twimg.com/profile_background_images/288057702/512px-E8PetrieFull_svg.jpg", "profile_background_tile": true, "profile_banner_url": "https://pbs.twimg.com/profile_banners/62537327/1431033853", "profile_image_url": "http://pbs.twimg.com/profile_images/607930473545908224/hUf4RmNb_normal.jpg", "profile_link_color": "0084B4", "profile_sidebar_fill_color": "DDEEF6", "profile_text_color": "333333", "screen_name": "alFranceschi", "statuses_count": 76789, "time_zone": "Eastern Time (US & Canada)", "url": "https://t.co/W4O9ajdgkk", "utc_offset": -18000, "verified": true}, "user_mentions": []}, "source": "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>", "text": "RT @alFranceschi: nice and very helpful twitter automation tool!\n#RoboTwity\nhttps://t.co/y6LNnu8C9q", "urls": [{"expanded_url": "https://goo.gl/KyNqQl?91066", "url": "https://t.co/y6LNnu8C9q"}], "user": {"created_at": "Tue Jan 05 06:28:00 +0000 2016", "default_profile": true, "description": "You want me? https://t.co/wniv216ODG", "favourites_count": 1850, "followers_count": 354, "friends_count": 1191, "id": 4712344651, "lang": "en", "listed_count": 24, "name": "Jane Miers", "profile_background_color": "F5F8FA", "profile_banner_url": "https://pbs.twimg.com/profile_banners/4712344651/1512110615", "profile_image_url": "http://pbs.twimg.com/profile_images/936485867430072321/AkZ8ALMt_normal.jpg", "profile_link_color": "1DA1F2", "profile_sidebar_fill_color": "DDEEF6", "profile_text_color": "333333", "screen_name": "halinavanda1", "statuses_count": 2042}, "user_mentions": [{"id": 62537327, "name": "Alberto Franceschi", "screen_name": "alFranceschi"}]},
{"created_at": "Fri Dec 01 22:17:28 +0000 2017", "hashtags": [], "id": 936720934437834752, "id_str": "936720934437834752", "in_reply_to_screen_name": "chrisamiller", "in_reply_to_status_id": 936720416151949312, "in_reply_to_user_id": 10054472, "lang": "en", "source": "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>", "text": "@chrisamiller There is https://t.co/sbxOlUlaks but I don't know if it works with sashimi plots.", "urls": [{"expanded_url": "http://software.broadinstitute.org/software/igv/automation", "url": "https://t.co/sbxOlUlaks"}], "user": {"created_at": "Thu Jul 12 15:14:07 +0000 2007", "description": "Bioinformatics @institut_thorax , Nantes, France -- science genetics genomics drawing java c++ genetics high throughput sequencing", "favourites_count": 9608, "followers_count": 4611, "friends_count": 590, "id": 7431072, "lang": "en", "listed_count": 453, "location": "Nantes, France", "name": "Pierre Lindenbaum", "profile_background_color": "9AE4E8", "profile_background_image_url": "http://pbs.twimg.com/profile_background_images/378800000168197084/hxeZjr63.jpeg", "profile_background_tile": true, "profile_banner_url": "https://pbs.twimg.com/profile_banners/7431072/1398193084", "profile_image_url": "http://pbs.twimg.com/profile_images/667105051664609280/jQ6Ile6W_normal.jpg", "profile_link_color": "0000FF", "profile_sidebar_fill_color": "E0FF92", "profile_text_color": "000000", "screen_name": "yokofakun", "statuses_count": 34507, "time_zone": "Paris", "url": "http://t.co/FPX5wmEjPA", "utc_offset": 3600}, "user_mentions": [{"id": 10054472, "name": "Chris Miller", "screen_name": "chrisamiller"}]},
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| [{'created_at': 'Thu Nov 30 21:16:44 +0000 2017', 'favorite_count': 268, 'hashtags': [], 'id': 936343262088097795, 'id_str': '936343262088097795', 'lang': 'en', 'retweet_count': 82, 'source': '<a href="http://bufferapp.com" rel="nofollow">Buffer</a>', 'text': 'Automation (not immigrants, @realDonaldTrump) could eliminate 73 MILLION jobs in America by 2030.\n\nWe should be wor… https://t.co/YztkVMdcGA', 'truncated': true, 'urls': [{'expanded_url': 'https://twitter.com/i/web/status 936343262088097795', 'url': 'https://t.co/YztkVMdcGA'}], 'user': {'created_at': 'Mon Feb 07 03:35:59 +0000 2011', 'default_profile': true, 'description': "Congressman for #MA6. 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#
# PySNMP MIB module ENTERASYS-DIAGNOSTIC-MESSAGE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ENTERASYS-DIAGNOSTIC-MESSAGE-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:48:52 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)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsIntersection")
etsysModules, = mibBuilder.importSymbols("ENTERASYS-MIB-NAMES", "etsysModules")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
NotificationGroup, ObjectGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ObjectGroup", "ModuleCompliance")
TimeTicks, iso, Counter64, IpAddress, Unsigned32, NotificationType, Integer32, Gauge32, MibIdentifier, ObjectIdentity, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter32, Bits = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "iso", "Counter64", "IpAddress", "Unsigned32", "NotificationType", "Integer32", "Gauge32", "MibIdentifier", "ObjectIdentity", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter32", "Bits")
TextualConvention, DateAndTime, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DateAndTime", "DisplayString")
etsysDiagnosticMessageMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13))
etsysDiagnosticMessageMIB.setRevisions(('2003-01-10 21:17', '2002-06-07 14:28', '2001-12-03 19:51', '2001-08-08 00:00',))
if mibBuilder.loadTexts: etsysDiagnosticMessageMIB.setLastUpdated('200304252048Z')
if mibBuilder.loadTexts: etsysDiagnosticMessageMIB.setOrganization('Enterasys Networks')
class LongAdminString(TextualConvention, OctetString):
reference = 'RFC2571 (An Architecture for Describing SNMP Management Frameworks)'
status = 'current'
displayHint = '1024a'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 1024)
etsysDiagnosticMessage = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1))
etsysDiagnosticMessageDetails = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2))
etsysDiagnosticMessageCount = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageCount.setStatus('current')
etsysDiagnosticMessageChanges = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageChanges.setStatus('current')
etsysDiagnosticMessageTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3), )
if mibBuilder.loadTexts: etsysDiagnosticMessageTable.setStatus('current')
etsysDiagnosticMessageEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1), ).setIndexNames((0, "ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageIndex"))
if mibBuilder.loadTexts: etsysDiagnosticMessageEntry.setStatus('current')
etsysDiagnosticMessageIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295)))
if mibBuilder.loadTexts: etsysDiagnosticMessageIndex.setStatus('current')
etsysDiagnosticMessageTime = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 2), DateAndTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageTime.setStatus('current')
etsysDiagnosticMessageType = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 3), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageType.setStatus('current')
etsysDiagnosticMessageSummary = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 4), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 64))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageSummary.setStatus('current')
etsysDiagnosticMessageFWRevision = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 5), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageFWRevision.setStatus('current')
etsysDiagnosticMessageStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 6), Bits().clone(namedValues=NamedValues(("etsysDiagnosticMessageBadChecksum", 0)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageStatus.setStatus('current')
etsysDiagnosticMessageDetailsTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1), )
if mibBuilder.loadTexts: etsysDiagnosticMessageDetailsTable.setStatus('current')
etsysDiagnosticMessageDetailsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1), ).setIndexNames((0, "ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageIndex"), (0, "ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageDetailsIndex"))
if mibBuilder.loadTexts: etsysDiagnosticMessageDetailsEntry.setStatus('current')
etsysDiagnosticMessageDetailsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024)))
if mibBuilder.loadTexts: etsysDiagnosticMessageDetailsIndex.setStatus('current')
etsysDiagnosticMessageDetailsText = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1, 2), LongAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageDetailsText.setStatus('current')
etsysDiagnosticMessageDetailsStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1, 3), Bits().clone(namedValues=NamedValues(("etsysDiagnosticMessageLastSegment", 0)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysDiagnosticMessageDetailsStatus.setStatus('current')
etsysDiagnosticMessageConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3))
etsysDiagnosticMessageGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 1))
etsysDiagnosticMessageCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 2))
etsysDiagnosticMessageGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 1, 1)).setObjects(("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageCount"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageChanges"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageTime"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageType"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageSummary"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageFWRevision"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageStatus"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageDetailsText"), ("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageDetailsStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysDiagnosticMessageGroup = etsysDiagnosticMessageGroup.setStatus('current')
etsysDiagnosticMessageCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 2, 1)).setObjects(("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", "etsysDiagnosticMessageGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysDiagnosticMessageCompliance = etsysDiagnosticMessageCompliance.setStatus('current')
mibBuilder.exportSymbols("ENTERASYS-DIAGNOSTIC-MESSAGE-MIB", etsysDiagnosticMessageConformance=etsysDiagnosticMessageConformance, LongAdminString=LongAdminString, etsysDiagnosticMessageChanges=etsysDiagnosticMessageChanges, etsysDiagnosticMessageStatus=etsysDiagnosticMessageStatus, etsysDiagnosticMessageCompliances=etsysDiagnosticMessageCompliances, etsysDiagnosticMessageMIB=etsysDiagnosticMessageMIB, etsysDiagnosticMessageDetailsIndex=etsysDiagnosticMessageDetailsIndex, etsysDiagnosticMessageDetailsEntry=etsysDiagnosticMessageDetailsEntry, etsysDiagnosticMessageTable=etsysDiagnosticMessageTable, etsysDiagnosticMessageDetails=etsysDiagnosticMessageDetails, etsysDiagnosticMessageEntry=etsysDiagnosticMessageEntry, etsysDiagnosticMessageGroups=etsysDiagnosticMessageGroups, etsysDiagnosticMessageSummary=etsysDiagnosticMessageSummary, etsysDiagnosticMessageType=etsysDiagnosticMessageType, etsysDiagnosticMessageDetailsStatus=etsysDiagnosticMessageDetailsStatus, etsysDiagnosticMessageDetailsText=etsysDiagnosticMessageDetailsText, etsysDiagnosticMessageTime=etsysDiagnosticMessageTime, etsysDiagnosticMessageDetailsTable=etsysDiagnosticMessageDetailsTable, etsysDiagnosticMessageFWRevision=etsysDiagnosticMessageFWRevision, PYSNMP_MODULE_ID=etsysDiagnosticMessageMIB, etsysDiagnosticMessageGroup=etsysDiagnosticMessageGroup, etsysDiagnosticMessage=etsysDiagnosticMessage, etsysDiagnosticMessageIndex=etsysDiagnosticMessageIndex, etsysDiagnosticMessageCount=etsysDiagnosticMessageCount, etsysDiagnosticMessageCompliance=etsysDiagnosticMessageCompliance)
| (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, single_value_constraint, value_size_constraint, value_range_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'SingleValueConstraint', 'ValueSizeConstraint', 'ValueRangeConstraint', 'ConstraintsIntersection')
(etsys_modules,) = mibBuilder.importSymbols('ENTERASYS-MIB-NAMES', 'etsysModules')
(snmp_admin_string,) = mibBuilder.importSymbols('SNMP-FRAMEWORK-MIB', 'SnmpAdminString')
(notification_group, object_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ObjectGroup', 'ModuleCompliance')
(time_ticks, iso, counter64, ip_address, unsigned32, notification_type, integer32, gauge32, mib_identifier, object_identity, module_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, counter32, bits) = mibBuilder.importSymbols('SNMPv2-SMI', 'TimeTicks', 'iso', 'Counter64', 'IpAddress', 'Unsigned32', 'NotificationType', 'Integer32', 'Gauge32', 'MibIdentifier', 'ObjectIdentity', 'ModuleIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Counter32', 'Bits')
(textual_convention, date_and_time, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DateAndTime', 'DisplayString')
etsys_diagnostic_message_mib = module_identity((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13))
etsysDiagnosticMessageMIB.setRevisions(('2003-01-10 21:17', '2002-06-07 14:28', '2001-12-03 19:51', '2001-08-08 00:00'))
if mibBuilder.loadTexts:
etsysDiagnosticMessageMIB.setLastUpdated('200304252048Z')
if mibBuilder.loadTexts:
etsysDiagnosticMessageMIB.setOrganization('Enterasys Networks')
class Longadminstring(TextualConvention, OctetString):
reference = 'RFC2571 (An Architecture for Describing SNMP Management Frameworks)'
status = 'current'
display_hint = '1024a'
subtype_spec = OctetString.subtypeSpec + value_size_constraint(0, 1024)
etsys_diagnostic_message = mib_identifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1))
etsys_diagnostic_message_details = mib_identifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2))
etsys_diagnostic_message_count = mib_scalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 1), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageCount.setStatus('current')
etsys_diagnostic_message_changes = mib_scalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 2), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageChanges.setStatus('current')
etsys_diagnostic_message_table = mib_table((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3))
if mibBuilder.loadTexts:
etsysDiagnosticMessageTable.setStatus('current')
etsys_diagnostic_message_entry = mib_table_row((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1)).setIndexNames((0, 'ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageIndex'))
if mibBuilder.loadTexts:
etsysDiagnosticMessageEntry.setStatus('current')
etsys_diagnostic_message_index = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 4294967295)))
if mibBuilder.loadTexts:
etsysDiagnosticMessageIndex.setStatus('current')
etsys_diagnostic_message_time = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 2), date_and_time()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageTime.setStatus('current')
etsys_diagnostic_message_type = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 3), snmp_admin_string().subtype(subtypeSpec=value_size_constraint(1, 32))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageType.setStatus('current')
etsys_diagnostic_message_summary = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 4), snmp_admin_string().subtype(subtypeSpec=value_size_constraint(1, 64))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageSummary.setStatus('current')
etsys_diagnostic_message_fw_revision = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 5), snmp_admin_string().subtype(subtypeSpec=value_size_constraint(1, 32))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageFWRevision.setStatus('current')
etsys_diagnostic_message_status = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 1, 3, 1, 6), bits().clone(namedValues=named_values(('etsysDiagnosticMessageBadChecksum', 0)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageStatus.setStatus('current')
etsys_diagnostic_message_details_table = mib_table((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1))
if mibBuilder.loadTexts:
etsysDiagnosticMessageDetailsTable.setStatus('current')
etsys_diagnostic_message_details_entry = mib_table_row((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1)).setIndexNames((0, 'ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageIndex'), (0, 'ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageDetailsIndex'))
if mibBuilder.loadTexts:
etsysDiagnosticMessageDetailsEntry.setStatus('current')
etsys_diagnostic_message_details_index = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 1024)))
if mibBuilder.loadTexts:
etsysDiagnosticMessageDetailsIndex.setStatus('current')
etsys_diagnostic_message_details_text = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1, 2), long_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageDetailsText.setStatus('current')
etsys_diagnostic_message_details_status = mib_table_column((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 2, 1, 1, 3), bits().clone(namedValues=named_values(('etsysDiagnosticMessageLastSegment', 0)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
etsysDiagnosticMessageDetailsStatus.setStatus('current')
etsys_diagnostic_message_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3))
etsys_diagnostic_message_groups = mib_identifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 1))
etsys_diagnostic_message_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 2))
etsys_diagnostic_message_group = object_group((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 1, 1)).setObjects(('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageCount'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageChanges'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageTime'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageType'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageSummary'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageFWRevision'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageStatus'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageDetailsText'), ('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageDetailsStatus'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsys_diagnostic_message_group = etsysDiagnosticMessageGroup.setStatus('current')
etsys_diagnostic_message_compliance = module_compliance((1, 3, 6, 1, 4, 1, 5624, 1, 2, 13, 3, 2, 1)).setObjects(('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', 'etsysDiagnosticMessageGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsys_diagnostic_message_compliance = etsysDiagnosticMessageCompliance.setStatus('current')
mibBuilder.exportSymbols('ENTERASYS-DIAGNOSTIC-MESSAGE-MIB', etsysDiagnosticMessageConformance=etsysDiagnosticMessageConformance, LongAdminString=LongAdminString, etsysDiagnosticMessageChanges=etsysDiagnosticMessageChanges, etsysDiagnosticMessageStatus=etsysDiagnosticMessageStatus, etsysDiagnosticMessageCompliances=etsysDiagnosticMessageCompliances, etsysDiagnosticMessageMIB=etsysDiagnosticMessageMIB, etsysDiagnosticMessageDetailsIndex=etsysDiagnosticMessageDetailsIndex, etsysDiagnosticMessageDetailsEntry=etsysDiagnosticMessageDetailsEntry, etsysDiagnosticMessageTable=etsysDiagnosticMessageTable, etsysDiagnosticMessageDetails=etsysDiagnosticMessageDetails, etsysDiagnosticMessageEntry=etsysDiagnosticMessageEntry, etsysDiagnosticMessageGroups=etsysDiagnosticMessageGroups, etsysDiagnosticMessageSummary=etsysDiagnosticMessageSummary, etsysDiagnosticMessageType=etsysDiagnosticMessageType, etsysDiagnosticMessageDetailsStatus=etsysDiagnosticMessageDetailsStatus, etsysDiagnosticMessageDetailsText=etsysDiagnosticMessageDetailsText, etsysDiagnosticMessageTime=etsysDiagnosticMessageTime, etsysDiagnosticMessageDetailsTable=etsysDiagnosticMessageDetailsTable, etsysDiagnosticMessageFWRevision=etsysDiagnosticMessageFWRevision, PYSNMP_MODULE_ID=etsysDiagnosticMessageMIB, etsysDiagnosticMessageGroup=etsysDiagnosticMessageGroup, etsysDiagnosticMessage=etsysDiagnosticMessage, etsysDiagnosticMessageIndex=etsysDiagnosticMessageIndex, etsysDiagnosticMessageCount=etsysDiagnosticMessageCount, etsysDiagnosticMessageCompliance=etsysDiagnosticMessageCompliance) |
x:str = "Hello"
y:str = "World"
z:str = ""
z = x + y
z = x[0]
x = y = z
| x: str = 'Hello'
y: str = 'World'
z: str = ''
z = x + y
z = x[0]
x = y = z |
lines = open('input.txt', 'r').readlines()
# part one
grid = dict()
for line in lines:
# extract coord
(x1, y1, x2, y2) = [int(coord) for coord_string in line.split(" -> ") for coord in coord_string.split(",")]
# parallel to x-axis
if x1 == x2:
for y in range(min(y1,y2), max(y1,y2)+1):
if (x1, y) not in grid:
grid[(x1, y)] = 0
grid[(x1, y)] += 1
# parallel to y-axis
elif y1 == y2:
for x in range(min(x1, x2), max(x1, x2)+1):
if (x, y1) not in grid:
grid[(x, y1)] = 0
grid[(x, y1)] += 1
highest_count = 0
for val in grid.values():
if val >= 2:
highest_count += 1
print(highest_count)
# part two
grid = dict()
for line in lines:
(x1, y1, x2, y2) = [int(coord) for coord_string in line.split(" -> ") for coord in coord_string.split(",")]
# parallel to x-axis
if x1 == x2:
for y in range(min(y1, y2), max(y1, y2) + 1):
if (x1, y) not in grid:
grid[(x1, y)] = 0
grid[(x1, y)] += 1
# parallel to y-axis
elif y1 == y2:
for x in range(min(x1, x2), max(x1, x2) + 1):
if (x, y1) not in grid:
grid[(x, y1)] = 0
grid[(x, y1)] += 1
else:
# check for diagonal
for diag_counter in range(0, max(x1, x2)-min(x1, x2)+1):
signX = -1 if x1 > x2 else 1 # determine direction to move
signY = -1 if y1 > y2 else 1 # determine direction to move
x = x1 + signX * diag_counter
y = y1 + signY * diag_counter
if (x,y) not in grid:
grid[(x,y)] = 0
grid[(x,y)] += 1
highest_count = 0
for val in grid.values():
if val >= 2:
highest_count += 1
print(highest_count)
| lines = open('input.txt', 'r').readlines()
grid = dict()
for line in lines:
(x1, y1, x2, y2) = [int(coord) for coord_string in line.split(' -> ') for coord in coord_string.split(',')]
if x1 == x2:
for y in range(min(y1, y2), max(y1, y2) + 1):
if (x1, y) not in grid:
grid[x1, y] = 0
grid[x1, y] += 1
elif y1 == y2:
for x in range(min(x1, x2), max(x1, x2) + 1):
if (x, y1) not in grid:
grid[x, y1] = 0
grid[x, y1] += 1
highest_count = 0
for val in grid.values():
if val >= 2:
highest_count += 1
print(highest_count)
grid = dict()
for line in lines:
(x1, y1, x2, y2) = [int(coord) for coord_string in line.split(' -> ') for coord in coord_string.split(',')]
if x1 == x2:
for y in range(min(y1, y2), max(y1, y2) + 1):
if (x1, y) not in grid:
grid[x1, y] = 0
grid[x1, y] += 1
elif y1 == y2:
for x in range(min(x1, x2), max(x1, x2) + 1):
if (x, y1) not in grid:
grid[x, y1] = 0
grid[x, y1] += 1
else:
for diag_counter in range(0, max(x1, x2) - min(x1, x2) + 1):
sign_x = -1 if x1 > x2 else 1
sign_y = -1 if y1 > y2 else 1
x = x1 + signX * diag_counter
y = y1 + signY * diag_counter
if (x, y) not in grid:
grid[x, y] = 0
grid[x, y] += 1
highest_count = 0
for val in grid.values():
if val >= 2:
highest_count += 1
print(highest_count) |
query = input('Pick a number less than the magnitude of 10^8. Note- any multiple of 7 will give an unusual answer. Use a number that is not a multiple '
'of 7 for the best results. ')
print('\nYou have picked the number ' + str(query) + '. To demonstrate the cyclic nature of the number 142857, let\'s '
'begin by multiplying ' + str(query) + ' and 142857.')
var1 = 142857 * query
if len(str(var1)) == 6:
print('\nThis gives us a result of ' + str(var1) + ', which is a permutation of 142857.')
#FIGURE OUT HOW TO STOP CODE HERE
def last6(num):
return int(str(num)[len(str(num)) - 6::])
def firstNums(num):
return int(str(num)[:len(str(num)) - 6])
result = (firstNums(var1) + last6(var1))
print('\nThis gives us the result ' + str(var1) + '.')
print('\nNext, we add the last 6 digits, which are ' + str(last6(var1)) + ', to the remaining digits in front, which in '
'this case is ' + str(firstNums(var1)) + '.')
if 0 != query % 7:
print('\nThis gives us a result of ' + str(result) + ', which is a permutation of 142857.')
else:
print('\nThis gives us a result of ' + str(result) + ', which is not a permutation of 142857! Any multiple of 7 will '
'cause a result of a repeating sequence of 9s. ')
| query = input('Pick a number less than the magnitude of 10^8. Note- any multiple of 7 will give an unusual answer. Use a number that is not a multiple of 7 for the best results. ')
print('\nYou have picked the number ' + str(query) + ". To demonstrate the cyclic nature of the number 142857, let's begin by multiplying " + str(query) + ' and 142857.')
var1 = 142857 * query
if len(str(var1)) == 6:
print('\nThis gives us a result of ' + str(var1) + ', which is a permutation of 142857.')
def last6(num):
return int(str(num)[len(str(num)) - 6:])
def first_nums(num):
return int(str(num)[:len(str(num)) - 6])
result = first_nums(var1) + last6(var1)
print('\nThis gives us the result ' + str(var1) + '.')
print('\nNext, we add the last 6 digits, which are ' + str(last6(var1)) + ', to the remaining digits in front, which in this case is ' + str(first_nums(var1)) + '.')
if 0 != query % 7:
print('\nThis gives us a result of ' + str(result) + ', which is a permutation of 142857.')
else:
print('\nThis gives us a result of ' + str(result) + ', which is not a permutation of 142857! Any multiple of 7 will cause a result of a repeating sequence of 9s. ') |
# This program displays a person's
# name and address
print('Kate Austen')
print('123 Full Circle Drive')
print('Ashville, NC 28899') | print('Kate Austen')
print('123 Full Circle Drive')
print('Ashville, NC 28899') |
# Inserting a new node in DLL at end
# 7 step procedure
#Node class
class Node:
def __init__(self, next = None, prev = None, data = None):
self.next = next
self.prev = prev
self.data = data
#DLL class
class DoublyLinkedList:
def __init__(self):
self.head = None
def append(self, new_data):
#1. allocate new node 2. put in the data
new_node = Node(data = new_data)
last = self.head
#3. make next of last node as null, as it will be inserted at end
new_node.next = None
#4. is list is empty make new node as head of the list
if self.head is None:
new_node.prev = None
self.head = new_node
return
#5. else traverse till the last point
while (last.next is not None):
last = last.next
#6. change the next of last node
last.next = new_node
#change prev of new node
new_node.pev = last
| class Node:
def __init__(self, next=None, prev=None, data=None):
self.next = next
self.prev = prev
self.data = data
class Doublylinkedlist:
def __init__(self):
self.head = None
def append(self, new_data):
new_node = node(data=new_data)
last = self.head
new_node.next = None
if self.head is None:
new_node.prev = None
self.head = new_node
return
while last.next is not None:
last = last.next
last.next = new_node
new_node.pev = last |
a = 0
a += 5 #Suma en asignacion
a -= 10 #Resta en asignacion
a *= 2 #Producto de asignacion
a /= 2 #Division de asignacion
a %= 2 #Modulo de asinacion
a **= 10
numero_magico = 12345679
numero_usuario = int(input("Numero entre 1 y 9: "))
numero_usuario *= 9
numero_magico *= numero_usuario
print (numero_magico)
| a = 0
a += 5
a -= 10
a *= 2
a /= 2
a %= 2
a **= 10
numero_magico = 12345679
numero_usuario = int(input('Numero entre 1 y 9: '))
numero_usuario *= 9
numero_magico *= numero_usuario
print(numero_magico) |
'''Faca um Programa que leia um numero de 0 a 9999 e mostre na tela cada um dos gigitos separados
Ex: 1834
4 Unidades , 3 Dezenas , 8 Centenas , 1 Milhar
'''
numero = input('Digite um Numero de O a 9999: ')
print('\033[31m {} \033[m,Unidades '.format(numero[3]))
print('\033[32m {} \033[m,Dezenas '.format(numero[2]))
print('\033[33m {} \033[m, Centenas '.format(numero[1]))
print('\033[34m {} \033[m, Milhar '.format(numero[0])) | """Faca um Programa que leia um numero de 0 a 9999 e mostre na tela cada um dos gigitos separados
Ex: 1834
4 Unidades , 3 Dezenas , 8 Centenas , 1 Milhar
"""
numero = input('Digite um Numero de O a 9999: ')
print('\x1b[31m {} \x1b[m,Unidades '.format(numero[3]))
print('\x1b[32m {} \x1b[m,Dezenas '.format(numero[2]))
print('\x1b[33m {} \x1b[m, Centenas '.format(numero[1]))
print('\x1b[34m {} \x1b[m, Milhar '.format(numero[0])) |
# import pytest
class TestNameSpace:
def test___call__(self): # synced
assert True
def test___len__(self): # synced
assert True
def test___getitem__(self): # synced
assert True
def test___setitem__(self): # synced
assert True
def test___delitem__(self): # synced
assert True
def test___iter__(self): # synced
assert True
def test___contains__(self): # synced
assert True
| class Testnamespace:
def test___call__(self):
assert True
def test___len__(self):
assert True
def test___getitem__(self):
assert True
def test___setitem__(self):
assert True
def test___delitem__(self):
assert True
def test___iter__(self):
assert True
def test___contains__(self):
assert True |
"""Constants for the Govee BLE HCI monitor sensor integration."""
DOMAIN = "govee_ble"
SCANNER = "scanner"
EVENT_DEVICE_ADDED_TO_REGISTRY = f"{DOMAIN}_device_added_to_registry"
| """Constants for the Govee BLE HCI monitor sensor integration."""
domain = 'govee_ble'
scanner = 'scanner'
event_device_added_to_registry = f'{DOMAIN}_device_added_to_registry' |
def part_1():
for i in input:
if (2020-i) in input:
return (2020-i)*i
def part_2():
for i in range(len(input)):
for j in range(i, len(input)):
if (2020 - input[i] - input[j]) in input:
return (2020-input[i]-input[j]) * input[i] * input[j]
if __name__ == "__main__":
input = [1825,1944,1802,1676,1921,1652,1710,1952,1932,1934,1823,1732,1795,1681,1706,1697,1919,1695,2007,1889,1942,961,1868,1878,1723,416,1875,1831,1890,1654,1956,1827,973,1947,1688,1680,1808,1998,1794,1552,1935,1693,1824,1711,1766,1668,1968,1884,217,2003,1869,1658,1953,1829,1984,2005,1973,428,1957,1925,1719,1797,321,1804,1971,922,1976,1863,2008,1806,1833,1809,1707,1954,1811,1815,1915,1799,1917,1664,1937,1775,1685,1756,1940,1660,1859,1916,1989,1763,1994,1716,1689,1866,1708,1670,1982,1870,1847,1627,1819,1786,1828,1640,1699,1722,1737,1882,1666,1871,1703,1770,1623,1837,1636,1655,1930,1739,1810,1805,1861,1922,1993,1896,1760,2002,1779,1633,1972,1856,1641,1718,2004,1730,1826,1923,1753,1735,660,1988,1796,1990,1720,1626,1788,1700,942,1902,1943,1758,1839,1924,938,1634,1724,1983,1683,1687,1904,1907,1757,2001,1910,1849,1781,1981,1743,1851,2009,619,1898,1891,1751,1765,1959,1888,1894,1759,389,1964,1900,1742,1672,1969,1978,1933,1906,1807,1867,1838,1960,1814,1950,1918,1726,1986,1746,2006,1949,1784]
print(part_1())
print(part_2()) | def part_1():
for i in input:
if 2020 - i in input:
return (2020 - i) * i
def part_2():
for i in range(len(input)):
for j in range(i, len(input)):
if 2020 - input[i] - input[j] in input:
return (2020 - input[i] - input[j]) * input[i] * input[j]
if __name__ == '__main__':
input = [1825, 1944, 1802, 1676, 1921, 1652, 1710, 1952, 1932, 1934, 1823, 1732, 1795, 1681, 1706, 1697, 1919, 1695, 2007, 1889, 1942, 961, 1868, 1878, 1723, 416, 1875, 1831, 1890, 1654, 1956, 1827, 973, 1947, 1688, 1680, 1808, 1998, 1794, 1552, 1935, 1693, 1824, 1711, 1766, 1668, 1968, 1884, 217, 2003, 1869, 1658, 1953, 1829, 1984, 2005, 1973, 428, 1957, 1925, 1719, 1797, 321, 1804, 1971, 922, 1976, 1863, 2008, 1806, 1833, 1809, 1707, 1954, 1811, 1815, 1915, 1799, 1917, 1664, 1937, 1775, 1685, 1756, 1940, 1660, 1859, 1916, 1989, 1763, 1994, 1716, 1689, 1866, 1708, 1670, 1982, 1870, 1847, 1627, 1819, 1786, 1828, 1640, 1699, 1722, 1737, 1882, 1666, 1871, 1703, 1770, 1623, 1837, 1636, 1655, 1930, 1739, 1810, 1805, 1861, 1922, 1993, 1896, 1760, 2002, 1779, 1633, 1972, 1856, 1641, 1718, 2004, 1730, 1826, 1923, 1753, 1735, 660, 1988, 1796, 1990, 1720, 1626, 1788, 1700, 942, 1902, 1943, 1758, 1839, 1924, 938, 1634, 1724, 1983, 1683, 1687, 1904, 1907, 1757, 2001, 1910, 1849, 1781, 1981, 1743, 1851, 2009, 619, 1898, 1891, 1751, 1765, 1959, 1888, 1894, 1759, 389, 1964, 1900, 1742, 1672, 1969, 1978, 1933, 1906, 1807, 1867, 1838, 1960, 1814, 1950, 1918, 1726, 1986, 1746, 2006, 1949, 1784]
print(part_1())
print(part_2()) |
# https://leetcode.com/problems/max-increase-to-keep-city-skyline/description/
# input: grid = [[3,0,8,4],[2,4,5,7],[9,2,6,3],[0,3,1,0]]
# output: 35
def build_top_or_bottom(grid):
top_or_bottom = []
for i in range(len(grid[0])):
highest_building = 0
for j in range(len(grid)):
if grid[j][i] > highest_building:
highest_building = grid[j][i]
top_or_bottom.append(highest_building)
return top_or_bottom
def build_left_or_right(grid):
left_or_right = []
for line in grid:
highest_building = 0
for building_height in line:
if building_height > highest_building:
highest_building = building_height
left_or_right.append(highest_building)
return left_or_right
def max_increase_keeping_skyline(grid):
top_or_bottom = build_top_or_bottom(grid)
left_or_right = build_left_or_right(grid)
increased_number = 0
for i in range(len(grid)):
for j in range(len(grid[i])):
if left_or_right[i] < top_or_bottom[j]:
increased_number += (left_or_right[i] - grid[i][j])
else:
increased_number += (top_or_bottom[j] - grid[i][j])
return increased_number
print(max_increase_keeping_skyline([[3,0,8,4],[2,4,5,7],[9,2,6,3],[0,3,1,0]]))
| def build_top_or_bottom(grid):
top_or_bottom = []
for i in range(len(grid[0])):
highest_building = 0
for j in range(len(grid)):
if grid[j][i] > highest_building:
highest_building = grid[j][i]
top_or_bottom.append(highest_building)
return top_or_bottom
def build_left_or_right(grid):
left_or_right = []
for line in grid:
highest_building = 0
for building_height in line:
if building_height > highest_building:
highest_building = building_height
left_or_right.append(highest_building)
return left_or_right
def max_increase_keeping_skyline(grid):
top_or_bottom = build_top_or_bottom(grid)
left_or_right = build_left_or_right(grid)
increased_number = 0
for i in range(len(grid)):
for j in range(len(grid[i])):
if left_or_right[i] < top_or_bottom[j]:
increased_number += left_or_right[i] - grid[i][j]
else:
increased_number += top_or_bottom[j] - grid[i][j]
return increased_number
print(max_increase_keeping_skyline([[3, 0, 8, 4], [2, 4, 5, 7], [9, 2, 6, 3], [0, 3, 1, 0]])) |
lines = open("day 13/Toon D - Python/input", "r").readlines()
coordinates = [[int(coor) for coor in line.replace('\n', '').split(',')]
for line in lines if "," in line]
folds = [line[11:].replace('\n', '').split('=')
for line in lines if '=' in line]
for element in folds:
element[1] = int(element[1])
def fold(coordinates, direction, position):
new_coordinates = []
for coordinate in coordinates:
if direction == 'x':
if coordinate[0] > position:
new_coordinates.append(
[(position * 2) - coordinate[0], coordinate[1]])
else:
new_coordinates.append(coordinate)
if direction == 'y':
if coordinate[1] > position:
new_coordinates.append(
[coordinate[0], (position * 2) - coordinate[1]])
else:
new_coordinates.append(coordinate)
present = set()
result = []
for coordinate in new_coordinates:
if str(coordinate) not in present:
present.add(str(coordinate))
result.append(coordinate)
return result
print("part 1: %i" % len(fold(coordinates, folds[0][0], folds[0][1])))
result = coordinates
for fold_element in folds:
result = fold(result, fold_element[0], fold_element[1])
x_max = max([coordinate[0] for coordinate in result])
y_max = max([coordinate[1] for coordinate in result])
present = set([str(coordinate) for coordinate in result])
for y in range(y_max+1):
row = ''
for x in range(x_max+1):
if str([x, y]) in present:
row += '#'
else:
row += ' '
print(row)
| lines = open('day 13/Toon D - Python/input', 'r').readlines()
coordinates = [[int(coor) for coor in line.replace('\n', '').split(',')] for line in lines if ',' in line]
folds = [line[11:].replace('\n', '').split('=') for line in lines if '=' in line]
for element in folds:
element[1] = int(element[1])
def fold(coordinates, direction, position):
new_coordinates = []
for coordinate in coordinates:
if direction == 'x':
if coordinate[0] > position:
new_coordinates.append([position * 2 - coordinate[0], coordinate[1]])
else:
new_coordinates.append(coordinate)
if direction == 'y':
if coordinate[1] > position:
new_coordinates.append([coordinate[0], position * 2 - coordinate[1]])
else:
new_coordinates.append(coordinate)
present = set()
result = []
for coordinate in new_coordinates:
if str(coordinate) not in present:
present.add(str(coordinate))
result.append(coordinate)
return result
print('part 1: %i' % len(fold(coordinates, folds[0][0], folds[0][1])))
result = coordinates
for fold_element in folds:
result = fold(result, fold_element[0], fold_element[1])
x_max = max([coordinate[0] for coordinate in result])
y_max = max([coordinate[1] for coordinate in result])
present = set([str(coordinate) for coordinate in result])
for y in range(y_max + 1):
row = ''
for x in range(x_max + 1):
if str([x, y]) in present:
row += '#'
else:
row += ' '
print(row) |
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 23 19:16:26 2020
@author: crtom
GRID = 600*600
GRID 6x6 = 36 pieces
100x100 per square
one piece is 80x80 + margin = 100x100
"""
# create a list of touple positions
grid_touple_list = []
grid_pixel_pos_list = []
card_position_list = []
for y in range(0, 6):
for x in range(0, 6):
grid_touple_list.append((x,y))
grid_pixel_pos_list.append((x*100, y*100))
card_position_list.append(((x*100) + 10, (y*100) + 10))
# for x in range(0, 600, 100):
# for y in range(0, 600, 100):
# grid_pixel_pos_list.append((x, y))
# card_position_list.append((x + 10, y + 10))
print(grid_touple_list)
print(grid_pixel_pos_list)
print(card_position_list) | """
Created on Wed Dec 23 19:16:26 2020
@author: crtom
GRID = 600*600
GRID 6x6 = 36 pieces
100x100 per square
one piece is 80x80 + margin = 100x100
"""
grid_touple_list = []
grid_pixel_pos_list = []
card_position_list = []
for y in range(0, 6):
for x in range(0, 6):
grid_touple_list.append((x, y))
grid_pixel_pos_list.append((x * 100, y * 100))
card_position_list.append((x * 100 + 10, y * 100 + 10))
print(grid_touple_list)
print(grid_pixel_pos_list)
print(card_position_list) |
expected_output = {
'ids': {
'1': {
'no_of_failures': 11,
'no_of_success': 0,
'probe_id': 1,
'return_code': 'Timeout',
'rtt_stats': 'NoConnection/Busy/Timeout',
'start_time': '07:10:18 UTC Fri Oct 22 2021'
},
'2': {
'delay': '3239998/3240718/3240998',
'destination': '10.50.10.100',
'no_of_failures': 0,
'no_of_success': 46,
'oper_id': 60988531,
'probe_id': 2,
'return_code': 'OK',
'start_time': '07:11:18 UTC Fri Oct 22 2021'
},
'3': {
'delay': '3239/3240/3240',
'destination': '10.50.10.100',
'no_of_failures': 0,
'no_of_success': 24,
'oper_id': 393146530,
'probe_id': 3,
'return_code': 'OK',
'start_time': '07:11:19 UTC Fri Oct 22 2021'
},
'50': {
'no_of_failures': 0,
'no_of_success': 24,
'probe_id': 50,
'return_code': 'OK',
'rtt_stats': '6 milliseconds',
'start_time': '07:11:19 UTC Fri Oct 22 2021'
},
'51': {
'no_of_failures': 0,
'no_of_success': 47,
'probe_id': 51,
'return_code': 'OK',
'rtt_stats': '11 milliseconds',
'start_time': '07:11:19 UTC Fri Oct 22 2021'
},
'52': {
'no_of_failures': 0,
'no_of_success': 24,
'probe_id': 52,
'return_code': 'OK',
'rtt_stats': '11 milliseconds',
'start_time': '07:11:19 UTC Fri Oct 22 2021'
},
'53': {
'no_of_failures': 23,
'no_of_success': 0,
'probe_id': 53,
'return_code': 'No',
'rtt_stats': 'NoConnection/Busy/Timeout',
'start_time': '07:10:19 UTC Fri Oct 22 2021'
},
'54': {
'no_of_failures': 24,
'no_of_success': 0,
'probe_id': 54,
'return_code': 'Socket',
'rtt_stats': '0 milliseconds',
'start_time': '07:11:19 UTC Fri Oct 22 2021'
},
'100': {
'no_of_failures': 0,
'no_of_success': 23,
'probe_id': 100,
'return_code': 'OK',
'rtt_stats': '1 milliseconds',
'start_time': '07:11:08 UTC Fri Oct 22 2021'
},
}
} | expected_output = {'ids': {'1': {'no_of_failures': 11, 'no_of_success': 0, 'probe_id': 1, 'return_code': 'Timeout', 'rtt_stats': 'NoConnection/Busy/Timeout', 'start_time': '07:10:18 UTC Fri Oct 22 2021'}, '2': {'delay': '3239998/3240718/3240998', 'destination': '10.50.10.100', 'no_of_failures': 0, 'no_of_success': 46, 'oper_id': 60988531, 'probe_id': 2, 'return_code': 'OK', 'start_time': '07:11:18 UTC Fri Oct 22 2021'}, '3': {'delay': '3239/3240/3240', 'destination': '10.50.10.100', 'no_of_failures': 0, 'no_of_success': 24, 'oper_id': 393146530, 'probe_id': 3, 'return_code': 'OK', 'start_time': '07:11:19 UTC Fri Oct 22 2021'}, '50': {'no_of_failures': 0, 'no_of_success': 24, 'probe_id': 50, 'return_code': 'OK', 'rtt_stats': '6 milliseconds', 'start_time': '07:11:19 UTC Fri Oct 22 2021'}, '51': {'no_of_failures': 0, 'no_of_success': 47, 'probe_id': 51, 'return_code': 'OK', 'rtt_stats': '11 milliseconds', 'start_time': '07:11:19 UTC Fri Oct 22 2021'}, '52': {'no_of_failures': 0, 'no_of_success': 24, 'probe_id': 52, 'return_code': 'OK', 'rtt_stats': '11 milliseconds', 'start_time': '07:11:19 UTC Fri Oct 22 2021'}, '53': {'no_of_failures': 23, 'no_of_success': 0, 'probe_id': 53, 'return_code': 'No', 'rtt_stats': 'NoConnection/Busy/Timeout', 'start_time': '07:10:19 UTC Fri Oct 22 2021'}, '54': {'no_of_failures': 24, 'no_of_success': 0, 'probe_id': 54, 'return_code': 'Socket', 'rtt_stats': '0 milliseconds', 'start_time': '07:11:19 UTC Fri Oct 22 2021'}, '100': {'no_of_failures': 0, 'no_of_success': 23, 'probe_id': 100, 'return_code': 'OK', 'rtt_stats': '1 milliseconds', 'start_time': '07:11:08 UTC Fri Oct 22 2021'}}} |
#! /usr/bin/env/python3
# -*- coding: utf-8 -*-
first_line = set(sorted(''.join([a for a in input() if a.isalnum()])))
second_line = set(sorted(''.join([a for a in input() if a.isalnum()])))
print(first_line)
print(second_line)
for i in second_line:
if i not in first_line:
print("We can't do it")
break
else:
print("We can do it")
| first_line = set(sorted(''.join([a for a in input() if a.isalnum()])))
second_line = set(sorted(''.join([a for a in input() if a.isalnum()])))
print(first_line)
print(second_line)
for i in second_line:
if i not in first_line:
print("We can't do it")
break
else:
print('We can do it') |
#!/usr/bin/env python
# -------------------------------------------
# Compass Data object, corresponds to Compass_Data.h in old code
# -------------------------------------------
class CompassData:
def __init__(self, head=0):
self.heading = head
self.pitch = 0
self.roll = 0
self.temperature = 0
self.check_sum = 0
| class Compassdata:
def __init__(self, head=0):
self.heading = head
self.pitch = 0
self.roll = 0
self.temperature = 0
self.check_sum = 0 |
class Pessoa:
species = 'Human'
age = None
def __init__(self, name, sex):
self.sex = sex
self.name = name
def p_data(self):
print(
f'''
{self.name}
{self.age}
{self.species}
{self.sex}''')
class Elder(Pessoa):
age = '>60'
class Adult(Pessoa):
age = '18 to 59'
class Teenager(Pessoa):
age = '13 to 17'
class Child(Pessoa):
age = '0 to 12'
tilburi = Adult('Tilburi', 'Male')
chuck = Teenager('Chuck', 'Female')
gabo = Child('Gabo', 'Male')
tilburi.p_data()
chuck.p_data()
gabo.p_data()
| class Pessoa:
species = 'Human'
age = None
def __init__(self, name, sex):
self.sex = sex
self.name = name
def p_data(self):
print(f'\n{self.name}\n{self.age}\n{self.species}\n{self.sex}')
class Elder(Pessoa):
age = '>60'
class Adult(Pessoa):
age = '18 to 59'
class Teenager(Pessoa):
age = '13 to 17'
class Child(Pessoa):
age = '0 to 12'
tilburi = adult('Tilburi', 'Male')
chuck = teenager('Chuck', 'Female')
gabo = child('Gabo', 'Male')
tilburi.p_data()
chuck.p_data()
gabo.p_data() |
class Solution:
def findWords(self, words: List[str]) -> List[str]:
first, second, third = set("qwertyuiop"), set("asdfghjkl"), set("zxcvbnm")
result = []
for word in words:
first_letter = word[0].lower()
group = first
if first_letter in second:
group = second
elif first_letter in third:
group = third
for letter in word:
letter = letter.lower()
if letter not in group:
break
else:
result.append(word)
return result
| class Solution:
def find_words(self, words: List[str]) -> List[str]:
(first, second, third) = (set('qwertyuiop'), set('asdfghjkl'), set('zxcvbnm'))
result = []
for word in words:
first_letter = word[0].lower()
group = first
if first_letter in second:
group = second
elif first_letter in third:
group = third
for letter in word:
letter = letter.lower()
if letter not in group:
break
else:
result.append(word)
return result |
L = [[0]*5 for i in range(3)]
n = int(input())
for i in range(n):
I = list(map(int,input().split()))
for j in range(3):
L[j][I[j]]+=1
for i in range(3):
L[i][0] = L[i][1]*1 + L[i][2]*2 + L[i][3]*3
L[i][4] = i+1
L.sort(key = lambda t: (-t[0], -t[3], -t[2], -t[1]))
if len(L) > 1 and L[0][:-1] == L[1][:-1]:
print(0, L[0][0])
else:
print(L[0][4], L[0][0]) | l = [[0] * 5 for i in range(3)]
n = int(input())
for i in range(n):
i = list(map(int, input().split()))
for j in range(3):
L[j][I[j]] += 1
for i in range(3):
L[i][0] = L[i][1] * 1 + L[i][2] * 2 + L[i][3] * 3
L[i][4] = i + 1
L.sort(key=lambda t: (-t[0], -t[3], -t[2], -t[1]))
if len(L) > 1 and L[0][:-1] == L[1][:-1]:
print(0, L[0][0])
else:
print(L[0][4], L[0][0]) |
def part1():
with open('07_input.txt', 'r') as f:
lines = f.read().split('\n')
visited = []
acc = 0
ip = 0
while True:
if str(ip) in visited:
break
else:
visited.append(str(ip))
op, arg = lines[ip].split(' ')
if op == 'acc':
acc += int(arg)
ip += 1
elif op == 'nop':
ip += 1
continue
elif op == 'jmp':
ip = ip + int(arg)
else:
break
print(acc)
part1()
| def part1():
with open('07_input.txt', 'r') as f:
lines = f.read().split('\n')
visited = []
acc = 0
ip = 0
while True:
if str(ip) in visited:
break
else:
visited.append(str(ip))
(op, arg) = lines[ip].split(' ')
if op == 'acc':
acc += int(arg)
ip += 1
elif op == 'nop':
ip += 1
continue
elif op == 'jmp':
ip = ip + int(arg)
else:
break
print(acc)
part1() |
class Leaderboard:
def __init__(self):
self.scores = defaultdict()
def addScore(self, playerId: int, score: int) -> None:
if playerId not in self.scores:
self.scores[playerId] = 0
self.scores[playerId] += score
def top(self, K: int) -> int:
values = [v for _, v in sorted(self.scores.items(), key=lambda item: item[1])]
values.sort(reverse=True)
total, i = 0, 0
while i < K:
total += values[i]
i += 1
return total
def reset(self, playerId: int) -> None:
self.scores[playerId] = 0
| class Leaderboard:
def __init__(self):
self.scores = defaultdict()
def add_score(self, playerId: int, score: int) -> None:
if playerId not in self.scores:
self.scores[playerId] = 0
self.scores[playerId] += score
def top(self, K: int) -> int:
values = [v for (_, v) in sorted(self.scores.items(), key=lambda item: item[1])]
values.sort(reverse=True)
(total, i) = (0, 0)
while i < K:
total += values[i]
i += 1
return total
def reset(self, playerId: int) -> None:
self.scores[playerId] = 0 |
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 11 01:46:31 2020
@author: ucobiz
"""
class Student:
"""This is a class for a student"""
MAX_ID_LENGTH = 4
numStudents = 0
def __init__(self, name, age, gpa):
"""Constructor for a student"""
self.full_name = name
self.age = age
self.gpa = gpa
def get_age(self):
"""Method to get an age for a student
return an age
"""
return self.age | """
Created on Wed Nov 11 01:46:31 2020
@author: ucobiz
"""
class Student:
"""This is a class for a student"""
max_id_length = 4
num_students = 0
def __init__(self, name, age, gpa):
"""Constructor for a student"""
self.full_name = name
self.age = age
self.gpa = gpa
def get_age(self):
"""Method to get an age for a student
return an age
"""
return self.age |
class Book:
def __init__(self, name, author, pages):
self.name = name
self.author = author
self.pages = pages
def name(self):
return self.name
def author(self):
return self.name
def pages(self):
return self.name
book = Book("My Book", "Me", 200)
print(book.name)
print(book.author)
print(book.pages)
| class Book:
def __init__(self, name, author, pages):
self.name = name
self.author = author
self.pages = pages
def name(self):
return self.name
def author(self):
return self.name
def pages(self):
return self.name
book = book('My Book', 'Me', 200)
print(book.name)
print(book.author)
print(book.pages) |
"""
Anthropometry formulas for determining heights of the body and its parts
Winter, David A. Biomechanics and Motor Control of Human Movement. New York, N.Y.: Wiley, 2009. Print.
"""
def height_from_height_eyes(segment_length):
"""
Calculates body height based on the height of the eyes from the ground
args:
segment_length (float): height of the eyes from the ground
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.936
def height_from_height_head(segment_length):
"""
Calculates body height based on the height of the head (up to the bottom of the chin) from the ground
args:
segment_length (float): height of the head (up to the bottom of the chin)
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.870
def height_from_height_shoulders(segment_length):
"""
Calculates body height based on the height of the shoulders from the ground
args:
segment_length (float): height of the shoulders
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.818
def height_from_height_chest(segment_length):
"""
Calculates body height based on the height of the chest (equal to the nipples) from the ground
args:
segment_length (float): height of the chest (equal to the nipples)
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.720
def height_from_height_elbow(segment_length):
"""
Calculates body height based on the height of the elbows from the ground
args:
segment_length (float): height of the elbows
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.630
def height_from_height_wrist(segment_length):
"""
Calculates body height based on the height of the elbows from the ground
args:
segment_length (float): height of the wrists
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.485
def height_from_height_fingertip(segment_length):
"""
Calculates body height based on the height of the fingertips from the ground
args:
segment_length (float): height of the fingertips
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.377
def height_from_height_hips(segment_length):
"""
Calculates body height based on the height of the hips from the ground
args:
segment_length (float): height of the hips
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.530
def height_from_height_buttocks(segment_length):
"""
Calculates body height based on the height of the buttocks from the ground
args:
segment_length (float): height of the buttocks
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.485
def height_from_height_knee(segment_length):
"""
Calculates body height based on the height of the knees from the ground
args:
segment_length (float): height of the knees
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.285
def height_from_height_ankle(segment_length):
"""
Calculates body height based on the height of the ankles from the ground
args:
segment_length (float): height of the ankles
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.039
def height_from_head_length(segment_length):
"""
Calculates body height based on the height of the head
args:
segment_length (float): vertical length of head
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.130
def height_from_shoulder_distance(segment_length):
"""
Calculates body height based on the horizontal distance from the center of the chest to the shoulder
args:
segment_length (float): horizontal distance from the center of the chest to the shoulder
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.129
def height_from_shoulder_width(segment_length):
"""
Calculates body height based on the width of the shoulders
args:
segment_length (float): width of the shoulders
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.259
def height_from_hips_width(segment_length):
"""
Calculates body height based on the horizontal width of the hips
args:
segment_length (float): width of the hips
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.191
def height_from_nipple_width(segment_length):
"""
Calculates body height based on the horizontal distance between nipples
args:
segment_length (float): horizontal distance between nipples
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.174
def height_from_foot_width(segment_length):
"""
Calculates body height based on the foot breadth
args:
segment_length (float): breadth of the foot
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.055
def height_from_foot_length(segment_length):
"""
Calculates body height based on the foot length
args:
segment_length (float): length of foot
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.152
def height_from_humerus_length(segment_length):
"""
Calculates body height based on the humerus (shoulder to elbow) length
args:
segment_length (float): length of humerus (shoulder to end of elbow)
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.186
def height_from_forearm_length(segment_length):
"""
Calculates body height based on the forearm length (elbow to wrist)
args:
segment_length (float): length of forearm
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.146
def height_from_hand_length(segment_length):
"""
Calculates body height based on the hand length (wrist to fingertips)
args:
segment_length (float): length of length of hand
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.108
def height_from_upperbody_length(segment_length):
"""
Calculates body height based on the upper body length (top of head to bottom of torso)
args:
segment_length (float): length of upper body
Returns:
float: total body height
"""
if segment_length <= 0:
raise ValueError('segment_length must be > 0')
return segment_length / 0.520
class Segment(object):
def __init__(self, body_height):
if body_height <= 0:
raise ValueError('body_height must be > 0')
self.body_height = body_height
def height_eyes(self):
"""
Calculates the height of the eyes from the ground based on the body height
Returns:
float: height of the eyes from the ground
"""
return 0.936 * self.body_height
def height_head(self):
"""
Calculates the height of the head (up to the bottom of the chin) from the ground based on the body height
Returns:
float: height of the head (bottom of chin) from the ground
"""
return 0.870 * self.body_height
def height_shoulders(self):
"""
Calculates the height of the shoulders from the ground based on the body height
Returns:
float: height of the shoulders from the ground
"""
return 0.818 * self.body_height
def height_chest(self):
"""
Calculates the height of the chest (equal to the nipples) from the ground based on the body height
Returns:
float: height of the chest (equal to nipples) from the ground
"""
return 0.720 * self.body_height
def height_elbow(self):
"""
Calculates the height of the elbows from the ground based on the body height
Returns:
float: height of the elbow from the ground
"""
return 0.630 * self.body_height
def height_wrist(self):
"""
Calculates the height of the wrists from the ground based on the body height
Returns:
float: height of the wrists from the ground
"""
return 0.485 * self.body_height
def height_fingertip(self):
"""
Calculates the height of the fingertips from the ground based on the body height
Returns:
float: height of the fingertips from the ground
"""
return 0.377 * self.body_height
def height_hips(self):
"""
Calculates the height of the hips from the ground based on the body height
Returns:
float: height of the hips from the ground
"""
return 0.530 * self.body_height
def height_buttocks(self):
"""
Calculates the height of the buttocks from the ground based on the body height
Returns:
float: height of the buttocks from the ground
"""
return 0.485 * self.body_height
def height_knee(self):
"""
Calculates the height of the knees from the ground based on the body height
Returns:
float: height of the knees from the ground
"""
return 0.285 * self.body_height
def height_ankle(self):
"""
Calculates the height of the ankles from the ground based on the body height
Returns:
float: height of theankles from the ground
"""
return 0.039 * self.body_height
def head_height(self):
"""
Calculates the height of the head based on the body height
Returns:
float: vertical height of the head
"""
return 0.130 * self.body_height
def shoulder_distance(self):
"""
Calculates the horizontal distance from the center of the chest to the shoulder based on the body height
Returns:
float: horizontal distance from the center of the chest to the shoulder
"""
return 0.129 * self.body_height
def shoulder_width(self):
"""
Calculates the width of the shoulders based on the body height
Returns:
float: shoulder width
"""
return 0.259 * self.body_height
def hips_width(self):
"""
Calculates the horizontal width of the hips based on the body height
Returns:
float: width of the hips
"""
return 0.191 * self.body_height
def nipple_width(self):
"""
Calculates the horizontal distance between nipples based on the body height
Returns:
float: horizontal distance between nipples
"""
return 0.174 * self.body_height
def foot_width(self):
"""
Calculates the foot breadth based on the body height
Returns:
float: width of the foot
"""
return 0.055 * self.body_height
def foot_length(self):
"""
Calculates the foot length based on the body height
Returns:
float: length of the foot
"""
return 0.152 * self.body_height
def humerus_length(self):
"""
Calculates the humerus (shoulder to elbow) length based on the body height
Returns:
float: length of the humerus
"""
return 0.186 * self.body_height
def forearm_length(self):
"""
Calculates the forearm length (elbow to wrist) based on the body height
Returns:
float: length of the forearm
"""
return 0.146 * self.body_height
def hand_length(self):
"""
Calculates the hand length (wrist to fingertips) based on the body height
Returns:
float: length of the hand
"""
return 0.108 * self.body_height
def upperbody_length(self):
"""
Calculates the upper body length (top of head to bottom of torso) based on the body height
Returns:
float: length of the upper body
"""
return 0.520 * self.body_height
| """
Anthropometry formulas for determining heights of the body and its parts
Winter, David A. Biomechanics and Motor Control of Human Movement. New York, N.Y.: Wiley, 2009. Print.
"""
def height_from_height_eyes(segment_length):
"""
Calculates body height based on the height of the eyes from the ground
args:
segment_length (float): height of the eyes from the ground
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.936
def height_from_height_head(segment_length):
"""
Calculates body height based on the height of the head (up to the bottom of the chin) from the ground
args:
segment_length (float): height of the head (up to the bottom of the chin)
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.87
def height_from_height_shoulders(segment_length):
"""
Calculates body height based on the height of the shoulders from the ground
args:
segment_length (float): height of the shoulders
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.818
def height_from_height_chest(segment_length):
"""
Calculates body height based on the height of the chest (equal to the nipples) from the ground
args:
segment_length (float): height of the chest (equal to the nipples)
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.72
def height_from_height_elbow(segment_length):
"""
Calculates body height based on the height of the elbows from the ground
args:
segment_length (float): height of the elbows
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.63
def height_from_height_wrist(segment_length):
"""
Calculates body height based on the height of the elbows from the ground
args:
segment_length (float): height of the wrists
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.485
def height_from_height_fingertip(segment_length):
"""
Calculates body height based on the height of the fingertips from the ground
args:
segment_length (float): height of the fingertips
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.377
def height_from_height_hips(segment_length):
"""
Calculates body height based on the height of the hips from the ground
args:
segment_length (float): height of the hips
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.53
def height_from_height_buttocks(segment_length):
"""
Calculates body height based on the height of the buttocks from the ground
args:
segment_length (float): height of the buttocks
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.485
def height_from_height_knee(segment_length):
"""
Calculates body height based on the height of the knees from the ground
args:
segment_length (float): height of the knees
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.285
def height_from_height_ankle(segment_length):
"""
Calculates body height based on the height of the ankles from the ground
args:
segment_length (float): height of the ankles
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.039
def height_from_head_length(segment_length):
"""
Calculates body height based on the height of the head
args:
segment_length (float): vertical length of head
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.13
def height_from_shoulder_distance(segment_length):
"""
Calculates body height based on the horizontal distance from the center of the chest to the shoulder
args:
segment_length (float): horizontal distance from the center of the chest to the shoulder
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.129
def height_from_shoulder_width(segment_length):
"""
Calculates body height based on the width of the shoulders
args:
segment_length (float): width of the shoulders
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.259
def height_from_hips_width(segment_length):
"""
Calculates body height based on the horizontal width of the hips
args:
segment_length (float): width of the hips
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.191
def height_from_nipple_width(segment_length):
"""
Calculates body height based on the horizontal distance between nipples
args:
segment_length (float): horizontal distance between nipples
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.174
def height_from_foot_width(segment_length):
"""
Calculates body height based on the foot breadth
args:
segment_length (float): breadth of the foot
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.055
def height_from_foot_length(segment_length):
"""
Calculates body height based on the foot length
args:
segment_length (float): length of foot
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.152
def height_from_humerus_length(segment_length):
"""
Calculates body height based on the humerus (shoulder to elbow) length
args:
segment_length (float): length of humerus (shoulder to end of elbow)
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.186
def height_from_forearm_length(segment_length):
"""
Calculates body height based on the forearm length (elbow to wrist)
args:
segment_length (float): length of forearm
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.146
def height_from_hand_length(segment_length):
"""
Calculates body height based on the hand length (wrist to fingertips)
args:
segment_length (float): length of length of hand
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.108
def height_from_upperbody_length(segment_length):
"""
Calculates body height based on the upper body length (top of head to bottom of torso)
args:
segment_length (float): length of upper body
Returns:
float: total body height
"""
if segment_length <= 0:
raise value_error('segment_length must be > 0')
return segment_length / 0.52
class Segment(object):
def __init__(self, body_height):
if body_height <= 0:
raise value_error('body_height must be > 0')
self.body_height = body_height
def height_eyes(self):
"""
Calculates the height of the eyes from the ground based on the body height
Returns:
float: height of the eyes from the ground
"""
return 0.936 * self.body_height
def height_head(self):
"""
Calculates the height of the head (up to the bottom of the chin) from the ground based on the body height
Returns:
float: height of the head (bottom of chin) from the ground
"""
return 0.87 * self.body_height
def height_shoulders(self):
"""
Calculates the height of the shoulders from the ground based on the body height
Returns:
float: height of the shoulders from the ground
"""
return 0.818 * self.body_height
def height_chest(self):
"""
Calculates the height of the chest (equal to the nipples) from the ground based on the body height
Returns:
float: height of the chest (equal to nipples) from the ground
"""
return 0.72 * self.body_height
def height_elbow(self):
"""
Calculates the height of the elbows from the ground based on the body height
Returns:
float: height of the elbow from the ground
"""
return 0.63 * self.body_height
def height_wrist(self):
"""
Calculates the height of the wrists from the ground based on the body height
Returns:
float: height of the wrists from the ground
"""
return 0.485 * self.body_height
def height_fingertip(self):
"""
Calculates the height of the fingertips from the ground based on the body height
Returns:
float: height of the fingertips from the ground
"""
return 0.377 * self.body_height
def height_hips(self):
"""
Calculates the height of the hips from the ground based on the body height
Returns:
float: height of the hips from the ground
"""
return 0.53 * self.body_height
def height_buttocks(self):
"""
Calculates the height of the buttocks from the ground based on the body height
Returns:
float: height of the buttocks from the ground
"""
return 0.485 * self.body_height
def height_knee(self):
"""
Calculates the height of the knees from the ground based on the body height
Returns:
float: height of the knees from the ground
"""
return 0.285 * self.body_height
def height_ankle(self):
"""
Calculates the height of the ankles from the ground based on the body height
Returns:
float: height of theankles from the ground
"""
return 0.039 * self.body_height
def head_height(self):
"""
Calculates the height of the head based on the body height
Returns:
float: vertical height of the head
"""
return 0.13 * self.body_height
def shoulder_distance(self):
"""
Calculates the horizontal distance from the center of the chest to the shoulder based on the body height
Returns:
float: horizontal distance from the center of the chest to the shoulder
"""
return 0.129 * self.body_height
def shoulder_width(self):
"""
Calculates the width of the shoulders based on the body height
Returns:
float: shoulder width
"""
return 0.259 * self.body_height
def hips_width(self):
"""
Calculates the horizontal width of the hips based on the body height
Returns:
float: width of the hips
"""
return 0.191 * self.body_height
def nipple_width(self):
"""
Calculates the horizontal distance between nipples based on the body height
Returns:
float: horizontal distance between nipples
"""
return 0.174 * self.body_height
def foot_width(self):
"""
Calculates the foot breadth based on the body height
Returns:
float: width of the foot
"""
return 0.055 * self.body_height
def foot_length(self):
"""
Calculates the foot length based on the body height
Returns:
float: length of the foot
"""
return 0.152 * self.body_height
def humerus_length(self):
"""
Calculates the humerus (shoulder to elbow) length based on the body height
Returns:
float: length of the humerus
"""
return 0.186 * self.body_height
def forearm_length(self):
"""
Calculates the forearm length (elbow to wrist) based on the body height
Returns:
float: length of the forearm
"""
return 0.146 * self.body_height
def hand_length(self):
"""
Calculates the hand length (wrist to fingertips) based on the body height
Returns:
float: length of the hand
"""
return 0.108 * self.body_height
def upperbody_length(self):
"""
Calculates the upper body length (top of head to bottom of torso) based on the body height
Returns:
float: length of the upper body
"""
return 0.52 * self.body_height |
##
# .port
##
"""
Platform specific modules.
The subject of each module should be the feature and the target platform.
This is done to keep modules small and descriptive.
These modules are for internal use only.
"""
__docformat__ = 'reStructuredText'
| """
Platform specific modules.
The subject of each module should be the feature and the target platform.
This is done to keep modules small and descriptive.
These modules are for internal use only.
"""
__docformat__ = 'reStructuredText' |
x = input("Give me a number: ")
y = input ("Give me a word: ")
out = "Output: "+str(x)+" "+str(y)
if x == 0 or x > 1:
if y[-2:] ==('ly'):
out = out [:-1]+'ies'
elif y[-2:] == "us":
out = out[:-2]+"i"
elif y[-2:] == "sh" or y[-2:] == "ch":
out += "es"
else:
out +="s"
print (out)
| x = input('Give me a number: ')
y = input('Give me a word: ')
out = 'Output: ' + str(x) + ' ' + str(y)
if x == 0 or x > 1:
if y[-2:] == 'ly':
out = out[:-1] + 'ies'
elif y[-2:] == 'us':
out = out[:-2] + 'i'
elif y[-2:] == 'sh' or y[-2:] == 'ch':
out += 'es'
else:
out += 's'
print(out) |
class MarkdownEmitter(object):
def initialize(self, filename, title, author, date):
self.file = open(filename, "w")
self.file.write(title)
self.file.write("\n======================================================================\n\n")
self.file.write("## %s (%s) ##" % (author, date))
def emit_category(self, category):
self.file.write("\n## %s\n\n" % category)
def emit_header(self, num, meter, author):
if author == "":
self.file.write("**%s**. (%s) \n" %
(num, meter))
else:
self.file.write("**%s**. (%s) _%s_ \n" %
(num, meter, author))
def emit_footer(self):
pass
def emit_stanza(self, stanza):
self.file.write("%s %s \n" % (stanza.num, stanza[0]))
for line in stanza[1:]:
self.file.write("%s \n" % line)
self.file.write("\n")
def finalize(self):
self.file.close()
| class Markdownemitter(object):
def initialize(self, filename, title, author, date):
self.file = open(filename, 'w')
self.file.write(title)
self.file.write('\n======================================================================\n\n')
self.file.write('## %s (%s) ##' % (author, date))
def emit_category(self, category):
self.file.write('\n## %s\n\n' % category)
def emit_header(self, num, meter, author):
if author == '':
self.file.write('**%s**. (%s) \n' % (num, meter))
else:
self.file.write('**%s**. (%s) _%s_ \n' % (num, meter, author))
def emit_footer(self):
pass
def emit_stanza(self, stanza):
self.file.write('%s %s \n' % (stanza.num, stanza[0]))
for line in stanza[1:]:
self.file.write('%s \n' % line)
self.file.write('\n')
def finalize(self):
self.file.close() |
n = int(input())
t = list(map(int, input().split()))
m = int(input())
drink = [tuple(map(int, input().split())) for _ in range(m)]
for i in range(m):
ans = 0
for j in range(n):
if drink[i][0] == j + 1:
ans += drink[i][1]
else:
ans += t[j]
print(ans)
| n = int(input())
t = list(map(int, input().split()))
m = int(input())
drink = [tuple(map(int, input().split())) for _ in range(m)]
for i in range(m):
ans = 0
for j in range(n):
if drink[i][0] == j + 1:
ans += drink[i][1]
else:
ans += t[j]
print(ans) |
#!/usr/bin/env python
'''
Name : APO Config, apoconfig.py
Author: Nickalas Reynolds
Date : Fall 2017
Misc : Config File for apo output
'''
config={
'pprint' : True,\
'commentline' : '#',\
'includefields': True,\
'header' : '',\
'interfielddelimiter': ' ',\
'intrafielddelimiter': ['',':',':',''],\
'fields' : ['Name','RA','Dec','Magnitude'],\
'fieldprefix': ['','','','Magntitude='],\
'fieldsuffix': ['','','',''],\
'customend' : '',\
'customfield': ["Telescope Home",98,30,"CSys=Mount; RotType=Mount; RotAng=0"],\
}
| """
Name : APO Config, apoconfig.py
Author: Nickalas Reynolds
Date : Fall 2017
Misc : Config File for apo output
"""
config = {'pprint': True, 'commentline': '#', 'includefields': True, 'header': '', 'interfielddelimiter': ' ', 'intrafielddelimiter': ['', ':', ':', ''], 'fields': ['Name', 'RA', 'Dec', 'Magnitude'], 'fieldprefix': ['', '', '', 'Magntitude='], 'fieldsuffix': ['', '', '', ''], 'customend': '', 'customfield': ['Telescope Home', 98, 30, 'CSys=Mount; RotType=Mount; RotAng=0']} |
def open_file(file):
with open(file) as f:
data = [x.strip() for x in f.readlines()]
return data
def get_gama_eps_in_str(data):
gamma = ''
eps = ''
for i in range(len(data[0])):
bit_value = 0
for j in range(len(data)):
bit_value += int(data[j][i])
max_occurance_bit = bit_value // (len(data) // 2)
gamma += str(max_occurance_bit)
eps += str(1 - max_occurance_bit)
return gamma, eps
def day3_a(data):
gamma, eps = get_gama_eps_in_str(data)
gamma = int(gamma, 2)
eps = int(eps, 2)
print(gamma * eps)
def bit_criteria_1(rows, i):
value = sum([int(x[i]) for x in rows]) / len(rows)
return '0' if value < 0.5 else '1'
def bit_criteria_2(rows, i):
value = sum([int(x[i]) for x in rows]) / len(rows)
return '1' if value < 0.5 else '0'
def look_for_values(data, filtering_crit):
filtered_data = data
for i in range(len(data[0])):
gamma_eps = filtering_crit(filtered_data, i)
filtered_data = [x for x in filtered_data if x[i] == gamma_eps]
if len(filtered_data) == 1:
break
return filtered_data[0]
def day3_b(data):
o_rating = look_for_values(data, bit_criteria_1)
co2_rating = look_for_values(data, bit_criteria_2)
o_rating = int(o_rating, 2)
co2_rating = int(co2_rating, 2)
print(o_rating * co2_rating)
if __name__ == '__main__':
data = open_file('inputs/day3.txt')
# day3_a(data)
day3_b(data)
| def open_file(file):
with open(file) as f:
data = [x.strip() for x in f.readlines()]
return data
def get_gama_eps_in_str(data):
gamma = ''
eps = ''
for i in range(len(data[0])):
bit_value = 0
for j in range(len(data)):
bit_value += int(data[j][i])
max_occurance_bit = bit_value // (len(data) // 2)
gamma += str(max_occurance_bit)
eps += str(1 - max_occurance_bit)
return (gamma, eps)
def day3_a(data):
(gamma, eps) = get_gama_eps_in_str(data)
gamma = int(gamma, 2)
eps = int(eps, 2)
print(gamma * eps)
def bit_criteria_1(rows, i):
value = sum([int(x[i]) for x in rows]) / len(rows)
return '0' if value < 0.5 else '1'
def bit_criteria_2(rows, i):
value = sum([int(x[i]) for x in rows]) / len(rows)
return '1' if value < 0.5 else '0'
def look_for_values(data, filtering_crit):
filtered_data = data
for i in range(len(data[0])):
gamma_eps = filtering_crit(filtered_data, i)
filtered_data = [x for x in filtered_data if x[i] == gamma_eps]
if len(filtered_data) == 1:
break
return filtered_data[0]
def day3_b(data):
o_rating = look_for_values(data, bit_criteria_1)
co2_rating = look_for_values(data, bit_criteria_2)
o_rating = int(o_rating, 2)
co2_rating = int(co2_rating, 2)
print(o_rating * co2_rating)
if __name__ == '__main__':
data = open_file('inputs/day3.txt')
day3_b(data) |
class SiteType:
def __init__(self):
pass
Communication = "CommunicationSite"
Team = "TeamSite"
| class Sitetype:
def __init__(self):
pass
communication = 'CommunicationSite'
team = 'TeamSite' |
"""
Given a string num which represents an integer, return true if num is a strobogrammatic number.
A strobogrammatic number is a number that looks the same when rotated 180 degrees (looked at upside down).
Example 1:
Input: num = "69"
Output: true
Example 2:
Input: num = "88"
Output: true
Example 3:
Input: num = "962"
Output: false
"""
class Solution:
"""
Build rotated string and compare with the source string. Strobogrammatic strings shall equal.
Runtime: 28 ms, faster than 80.88% of Python3
Memory Usage: 14.3 MB, less than 12.53% of Python3
Time / Space complexity: O(n)
"""
def isStrobogrammatic(self, num: str) -> bool:
strob = {"0": "0", "1": "1", "6": "9", "9": "6", "8": "8"}
rev_num = list()
for n in num:
if n in strob:
rev_num.append(strob[n])
else:
return False
return num == "".join(reversed(rev_num))
class Solution2:
"""
Two-pointers approach
Runtime: 28 ms, faster than 80.88% of Python3
Memory Usage: 14 MB, less than 99.05% of Python3
Time complexity: O(n) as we need to check all the digits in num
Space complexity: O(1) as we use constant extra space for "strob" dict
"""
def isStrobogrammatic(self, num: str) -> bool:
strob = {"0": "0", "1": "1", "6": "9", "9": "6", "8": "8"}
i, j = 0, len(num) - 1
while i <= j:
if num[i] not in strob or strob[num[i]] != num[j]:
return False
i += 1
j -= 1
return True
if __name__ == '__main__':
solutions = [Solution(), Solution2()]
tc = (
("69", True),
("88", True),
("962", False),
("1", True),
("2", False),
("101", True),
)
for s in solutions:
for inp, exp in tc:
res = s.isStrobogrammatic(inp)
assert res is exp, f"{s.__class__.__name__}: for input {inp} expected {exp}, got {res}"
| """
Given a string num which represents an integer, return true if num is a strobogrammatic number.
A strobogrammatic number is a number that looks the same when rotated 180 degrees (looked at upside down).
Example 1:
Input: num = "69"
Output: true
Example 2:
Input: num = "88"
Output: true
Example 3:
Input: num = "962"
Output: false
"""
class Solution:
"""
Build rotated string and compare with the source string. Strobogrammatic strings shall equal.
Runtime: 28 ms, faster than 80.88% of Python3
Memory Usage: 14.3 MB, less than 12.53% of Python3
Time / Space complexity: O(n)
"""
def is_strobogrammatic(self, num: str) -> bool:
strob = {'0': '0', '1': '1', '6': '9', '9': '6', '8': '8'}
rev_num = list()
for n in num:
if n in strob:
rev_num.append(strob[n])
else:
return False
return num == ''.join(reversed(rev_num))
class Solution2:
"""
Two-pointers approach
Runtime: 28 ms, faster than 80.88% of Python3
Memory Usage: 14 MB, less than 99.05% of Python3
Time complexity: O(n) as we need to check all the digits in num
Space complexity: O(1) as we use constant extra space for "strob" dict
"""
def is_strobogrammatic(self, num: str) -> bool:
strob = {'0': '0', '1': '1', '6': '9', '9': '6', '8': '8'}
(i, j) = (0, len(num) - 1)
while i <= j:
if num[i] not in strob or strob[num[i]] != num[j]:
return False
i += 1
j -= 1
return True
if __name__ == '__main__':
solutions = [solution(), solution2()]
tc = (('69', True), ('88', True), ('962', False), ('1', True), ('2', False), ('101', True))
for s in solutions:
for (inp, exp) in tc:
res = s.isStrobogrammatic(inp)
assert res is exp, f'{s.__class__.__name__}: for input {inp} expected {exp}, got {res}' |
#
# PySNMP MIB module CXOperatingSystem-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CXOperatingSystem-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:33:16 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)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint")
cxOperatingSystem, = mibBuilder.importSymbols("CXProduct-SMI", "cxOperatingSystem")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Gauge32, ModuleIdentity, Bits, MibIdentifier, Unsigned32, IpAddress, NotificationType, iso, Counter64, ObjectIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter32, TimeTicks, Integer32 = mibBuilder.importSymbols("SNMPv2-SMI", "Gauge32", "ModuleIdentity", "Bits", "MibIdentifier", "Unsigned32", "IpAddress", "NotificationType", "iso", "Counter64", "ObjectIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter32", "TimeTicks", "Integer32")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
cxOsParameter = MibIdentifier((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1))
cxOsNbBufs = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 1), Integer32().clone(1200)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxOsNbBufs.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsNbBufs.setDescription('Determines the total number of data buffers to be created within the system. System heap memory is reduced as the number of buffers is increased. Range of Values: Depends on amount of installed system DRAM, as well as on requirements made by software during initialization. Cannot be set to a value larger than the one chosen for object cxOsNbSystemMsg. Default Value: 1200')
cxOsBufSize = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 2), Integer32().clone(292)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxOsBufSize.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsBufSize.setDescription('Determines the size in bytes of each data buffer. Range of Values: 1 to 65535 Note: The maximum usable size depends on amount of installed system DRAM, as well as on requirements made by software during initialization. Default Value: 292.')
cxOsNbBufsAvail = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cxOsNbBufsAvail.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsNbBufsAvail.setDescription('Displays the number of data buffers that has actually been created. If you want to change the number of buffers you must change cxOsNbBufs. Range of Values: Depends on amount of installed system DRAM, as well as on requirements made by software during initialization.')
cxOsNbBufsFree = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cxOsNbBufsFree.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsNbBufsFree.setDescription('Displays the number of data buffers that are currently free within the system. Range of Values: Depends on amount of installed system DRAM, as well as on requirements made by software during initialization.')
cxOsNbSystemMsg = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 16), Integer32().clone(1320)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxOsNbSystemMsg.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsNbSystemMsg.setDescription('Determines the number of message buffers defined in the system. One or more data buffers may be attached to a message buffer. Cannot be set to a value smaller than the value of object cxOsNbBufs. Range of Values: from the total number of buffers in the system to 65535 Default Value: 1320')
cxOsNbSystemMsgFree = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 17), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cxOsNbSystemMsgFree.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsNbSystemMsgFree.setDescription('Displays the number of message buffers currently free in the system. Range of Values:from the total number of buffers in the system to 65535.')
cxOsOptions = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("data", 1), ("inst", 2), ("data-inst", 3), ("pipeline", 4), ("p-data", 5), ("p-inst", 6), ("p-data-inst", 7), ("none", 8))).clone('p-data-inst')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxOsOptions.setStatus('mandatory')
if mibBuilder.loadTexts: cxOsOptions.setDescription('Used for engineering testing only. Used to control data cache, instruction cache and pipeline features. Default value: p-data-inst')
mibBuilder.exportSymbols("CXOperatingSystem-MIB", cxOsOptions=cxOsOptions, cxOsNbBufs=cxOsNbBufs, cxOsParameter=cxOsParameter, cxOsBufSize=cxOsBufSize, cxOsNbSystemMsg=cxOsNbSystemMsg, cxOsNbBufsAvail=cxOsNbBufsAvail, cxOsNbSystemMsgFree=cxOsNbSystemMsgFree, cxOsNbBufsFree=cxOsNbBufsFree)
| (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier')
(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')
(cx_operating_system,) = mibBuilder.importSymbols('CXProduct-SMI', 'cxOperatingSystem')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(gauge32, module_identity, bits, mib_identifier, unsigned32, ip_address, notification_type, iso, counter64, object_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, counter32, time_ticks, integer32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Gauge32', 'ModuleIdentity', 'Bits', 'MibIdentifier', 'Unsigned32', 'IpAddress', 'NotificationType', 'iso', 'Counter64', 'ObjectIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Counter32', 'TimeTicks', 'Integer32')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
cx_os_parameter = mib_identifier((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1))
cx_os_nb_bufs = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 1), integer32().clone(1200)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
cxOsNbBufs.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsNbBufs.setDescription('Determines the total number of data buffers to be created within the system. System heap memory is reduced as the number of buffers is increased. Range of Values: Depends on amount of installed system DRAM, as well as on requirements made by software during initialization. Cannot be set to a value larger than the one chosen for object cxOsNbSystemMsg. Default Value: 1200')
cx_os_buf_size = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 2), integer32().clone(292)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
cxOsBufSize.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsBufSize.setDescription('Determines the size in bytes of each data buffer. Range of Values: 1 to 65535 Note: The maximum usable size depends on amount of installed system DRAM, as well as on requirements made by software during initialization. Default Value: 292.')
cx_os_nb_bufs_avail = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 3), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cxOsNbBufsAvail.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsNbBufsAvail.setDescription('Displays the number of data buffers that has actually been created. If you want to change the number of buffers you must change cxOsNbBufs. Range of Values: Depends on amount of installed system DRAM, as well as on requirements made by software during initialization.')
cx_os_nb_bufs_free = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cxOsNbBufsFree.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsNbBufsFree.setDescription('Displays the number of data buffers that are currently free within the system. Range of Values: Depends on amount of installed system DRAM, as well as on requirements made by software during initialization.')
cx_os_nb_system_msg = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 16), integer32().clone(1320)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
cxOsNbSystemMsg.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsNbSystemMsg.setDescription('Determines the number of message buffers defined in the system. One or more data buffers may be attached to a message buffer. Cannot be set to a value smaller than the value of object cxOsNbBufs. Range of Values: from the total number of buffers in the system to 65535 Default Value: 1320')
cx_os_nb_system_msg_free = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 17), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cxOsNbSystemMsgFree.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsNbSystemMsgFree.setDescription('Displays the number of message buffers currently free in the system. Range of Values:from the total number of buffers in the system to 65535.')
cx_os_options = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 5, 1, 18), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=named_values(('data', 1), ('inst', 2), ('data-inst', 3), ('pipeline', 4), ('p-data', 5), ('p-inst', 6), ('p-data-inst', 7), ('none', 8))).clone('p-data-inst')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
cxOsOptions.setStatus('mandatory')
if mibBuilder.loadTexts:
cxOsOptions.setDescription('Used for engineering testing only. Used to control data cache, instruction cache and pipeline features. Default value: p-data-inst')
mibBuilder.exportSymbols('CXOperatingSystem-MIB', cxOsOptions=cxOsOptions, cxOsNbBufs=cxOsNbBufs, cxOsParameter=cxOsParameter, cxOsBufSize=cxOsBufSize, cxOsNbSystemMsg=cxOsNbSystemMsg, cxOsNbBufsAvail=cxOsNbBufsAvail, cxOsNbSystemMsgFree=cxOsNbSystemMsgFree, cxOsNbBufsFree=cxOsNbBufsFree) |
#!/usr/bin/env python3
# ~*~ coding: utf-8 ~*~
# Now modify the grades program from section Dictionaries so that it uses
# file I/O to keep a record of the students.
assignments = ['hw ch 1', 'hw ch 2', 'quiz ', 'hw ch 3', 'test']
students = { }
def load_grades(gradesfile):
inputfile = open(gradesfile, "r")
grades = [ ]
while True:
student_and_grade = inputfile.readline()
student_and_grade = student_and_grade[:-1]
if not student_and_grade:
break
else:
studentname, studentgrades = student_and_grade.split(",")
studentgrades = studentgrades.split(" ")
students[studentname] = studentgrades
inputfile.close()
print("Grades loaded.")
def save_grades(gradesfile):
outputfile = open(gradesfile, "w")
for k, v in students.items():
outputfile.write(k + ",")
for x in v:
outputfile.write(str(x) + " ")
outputfile.write("\n")
outputfile.close()
print("Grades saved.")
def print_menu():
print("1. Add student")
print("2. Remove student")
print("3. Load grades")
print("4. Record grade")
print("5. Print grades")
print("6. Save grades")
print("7. Print Menu")
print("9. Quit")
def print_all_grades():
if students:
keys = sorted(students.keys())
print('\t', end=' ')
for x in assignments:
print(x, '\t', end=' ')
print()
for x in keys:
print(x, '\t', end=' ')
grades = students[x]
print_grades(grades)
else:
print("There are no grades to print.")
def print_grades(grades):
for x in grades:
print(x, '\t', end=' ')
print()
print_menu()
menu_choice = 0
while menu_choice != 9:
print()
menu_choice = int(input("Menu Choice: "))
if menu_choice == 1:
name = input("Student to add: ")
students[name] = [0] * len(assignments)
elif menu_choice == 2:
name = input("Student to remove: ")
if name in students:
del students[name]
else:
print("Student:", name, "not found")
elif menu_choice == 3:
gradesfile = input("Load grades from which file? ")
load_grades(gradesfile)
elif menu_choice == 4:
print("Record Grade")
name = input("Student: ")
if name in students:
grades = students[name]
print("Type in the number of the grade to record")
print("Type a 0 (zero) to exit")
for i,x in enumerate(assignments):
print(i + 1, x, '\t', end=' ')
print()
print_grades(grades)
which = 1234
while which != -1:
which = int(input("Change which Grade: "))
which -= 1
if 0 <= which < len(grades):
grade = input("Grade: ") # Change from float(input()) to input() to avoid an error when savi
grades[which] = grade
elif which != -1:
print("Invalid Grade Number")
else:
print("Student not found")
elif menu_choice == 5:
print_all_grades()
elif menu_choice == 6:
gradesfile = input("Save grades to which file? ")
save_grades(gradesfile)
elif menu_choice != 9:
print_menu()
| assignments = ['hw ch 1', 'hw ch 2', 'quiz ', 'hw ch 3', 'test']
students = {}
def load_grades(gradesfile):
inputfile = open(gradesfile, 'r')
grades = []
while True:
student_and_grade = inputfile.readline()
student_and_grade = student_and_grade[:-1]
if not student_and_grade:
break
else:
(studentname, studentgrades) = student_and_grade.split(',')
studentgrades = studentgrades.split(' ')
students[studentname] = studentgrades
inputfile.close()
print('Grades loaded.')
def save_grades(gradesfile):
outputfile = open(gradesfile, 'w')
for (k, v) in students.items():
outputfile.write(k + ',')
for x in v:
outputfile.write(str(x) + ' ')
outputfile.write('\n')
outputfile.close()
print('Grades saved.')
def print_menu():
print('1. Add student')
print('2. Remove student')
print('3. Load grades')
print('4. Record grade')
print('5. Print grades')
print('6. Save grades')
print('7. Print Menu')
print('9. Quit')
def print_all_grades():
if students:
keys = sorted(students.keys())
print('\t', end=' ')
for x in assignments:
print(x, '\t', end=' ')
print()
for x in keys:
print(x, '\t', end=' ')
grades = students[x]
print_grades(grades)
else:
print('There are no grades to print.')
def print_grades(grades):
for x in grades:
print(x, '\t', end=' ')
print()
print_menu()
menu_choice = 0
while menu_choice != 9:
print()
menu_choice = int(input('Menu Choice: '))
if menu_choice == 1:
name = input('Student to add: ')
students[name] = [0] * len(assignments)
elif menu_choice == 2:
name = input('Student to remove: ')
if name in students:
del students[name]
else:
print('Student:', name, 'not found')
elif menu_choice == 3:
gradesfile = input('Load grades from which file? ')
load_grades(gradesfile)
elif menu_choice == 4:
print('Record Grade')
name = input('Student: ')
if name in students:
grades = students[name]
print('Type in the number of the grade to record')
print('Type a 0 (zero) to exit')
for (i, x) in enumerate(assignments):
print(i + 1, x, '\t', end=' ')
print()
print_grades(grades)
which = 1234
while which != -1:
which = int(input('Change which Grade: '))
which -= 1
if 0 <= which < len(grades):
grade = input('Grade: ')
grades[which] = grade
elif which != -1:
print('Invalid Grade Number')
else:
print('Student not found')
elif menu_choice == 5:
print_all_grades()
elif menu_choice == 6:
gradesfile = input('Save grades to which file? ')
save_grades(gradesfile)
elif menu_choice != 9:
print_menu() |
class Solution:
def containsDuplicate(self, nums: list) -> bool:
hs = set()
for n in nums:
if n not in hs:
hs.add(n)
else:
return True
return False | class Solution:
def contains_duplicate(self, nums: list) -> bool:
hs = set()
for n in nums:
if n not in hs:
hs.add(n)
else:
return True
return False |
"""
Actions module for cumulus.
Will be responsible for running the different actions,
create, update and delete.
"""
| """
Actions module for cumulus.
Will be responsible for running the different actions,
create, update and delete.
""" |
# The file containing all the group API methods
def change_group_name():
row = db(db.group_data.id == request.vars.group_id).select().first()
row.update_record(group_name = request.vars.group_name)
return "ok"
def add_group():
t_id = db.group_data.insert(
group_owner = request.vars.group_owner,
group_name = request.vars.group_name,
)
r = db(db.group_data.id == t_id).select().first()
return response.json(dict(group_data=dict(
id = r.id,
group_owner = r.group_owner,
group_name = r.group_name,
members = r.members,
surf_session = r.surf_session
)))
def delete_all_group_data():
"Deletes all groups from the table"
db(db.group_data.id > -1).delete()
return "ok"
def delete_group():
db(db.group_data.id == request.vars.group_id).delete()
return "ok"
def get_groups():
groups = []
user = db(db.user_data.user_id == request.vars.user_id).select().first()
if user.groups is not None:
for r in user.groups:
group = db(db.group_data.id == r).select().first()
t = dict(
id = group.id,
group_owner = group.group_owner,
group_name = group.group_name,
members = group.members,
surf_session = group.surf_session
)
groups.append(t)
for r in db(db.group_data.group_owner == request.vars.group_owner).select():
t = dict(
id = r.id,
group_owner = r.group_owner,
group_name = r.group_name,
members = r.members,
surf_session = r.surf_session
)
groups.append(t)
return response.json(dict(
groups = groups
))
def get_group():
r = db(db.group_data.id == request.vars.group_id).select().first()
return response.json(dict(group=dict(
id = r.id,
group_owner = r.group_owner,
group_name = r.group_name,
members = r.members,
surf_session = r.surf_session
)))
def edit_group_session():
r = db(db.group_data.id == request.vars.group_id).select().first()
r.update_record(surf_session=request.vars.session)
return "ok"
def invite_member():
r = db(db.user_data.email == request.vars.invitee).select().first()
group_id = int(request.vars.group_id) if request.vars.group_id is not None else -1
if r.notifications is not None:
if group_id not in r.notifications:
r.notifications.append(request.vars.group_id)
r.update_record()
else:
r.update_record(notifications=[request.vars.group_id])
return "ok"
def add_to_group():
r = db(db.group_data.id == request.vars.group_id).select().first()
u = db(db.user_data.user_id == request.vars.user_id).select().first()
if r.members is not None:
r.members.append(request.vars.guest)
r.update_record()
if u.groups is not None:
u.groups.append(request.vars.group_id)
u.update_record()
else:
u.update_record(groups=[request.vars.group_id])
else:
r.update_record(members=[request.vars.guest])
if u.groups is not None:
u.groups.append(request.vars.group_id)
u.update_record()
else:
u.update_record(groups=[request.vars.group_id])
def leave_group():
r = db(db.group_data.id == request.vars.group_id).select().first()
u = db(db.user_data.user_id == request.vars.user_id).select().first()
for idx, mem in enumerate(r.members):
if mem == request.vars.member:
r.members.pop(idx)
r.update_record()
group_id = int(request.vars.group_id) if request.vars.group_id is not None else -1
for index, group in enumerate(u.groups):
# group = int(group) if group is not None else -1
if group == group_id:
u.groups.pop(index)
u.update_record()
return "ok"
def calculate_group_skill():
group = db(db.group_data.group_name == request.vars.group).select().first()
owner = db(db.user_data.email == group.group_owner).select().first()
skill_level = 0
counter = 0
print("owner skill lvl: ", owner.skill_level)
if owner.skill_level == 'Beginner':
skill_level = 1
elif owner.skill_level == 'Intermediate':
skill_level = 2
elif owner.skill_level == 'Advanced':
skill_level = 3
elif owner.skill_level == 'Expert':
skill_level = 4
counter = counter + 1
if group.members is None:
return skill_level
for idx, mem in enumerate(group.members):
user = db(db.user_data.email == mem).select().first()
print("users skill lvl: ", user.skill_level)
if user.skill_level == 'Beginner':
skill_level += 1
elif user.skill_level == 'Intermediate':
skill_level += 2
elif user.skill_level == 'Advanced':
skill_level += 3
elif user.skill_level == 'Expert':
skill_level += 4
counter = counter + 1
print("unrounded skill:", skill_level)
skill_level = round(skill_level/counter)
print("rounded skill:", skill_level)
return skill_level | def change_group_name():
row = db(db.group_data.id == request.vars.group_id).select().first()
row.update_record(group_name=request.vars.group_name)
return 'ok'
def add_group():
t_id = db.group_data.insert(group_owner=request.vars.group_owner, group_name=request.vars.group_name)
r = db(db.group_data.id == t_id).select().first()
return response.json(dict(group_data=dict(id=r.id, group_owner=r.group_owner, group_name=r.group_name, members=r.members, surf_session=r.surf_session)))
def delete_all_group_data():
"""Deletes all groups from the table"""
db(db.group_data.id > -1).delete()
return 'ok'
def delete_group():
db(db.group_data.id == request.vars.group_id).delete()
return 'ok'
def get_groups():
groups = []
user = db(db.user_data.user_id == request.vars.user_id).select().first()
if user.groups is not None:
for r in user.groups:
group = db(db.group_data.id == r).select().first()
t = dict(id=group.id, group_owner=group.group_owner, group_name=group.group_name, members=group.members, surf_session=group.surf_session)
groups.append(t)
for r in db(db.group_data.group_owner == request.vars.group_owner).select():
t = dict(id=r.id, group_owner=r.group_owner, group_name=r.group_name, members=r.members, surf_session=r.surf_session)
groups.append(t)
return response.json(dict(groups=groups))
def get_group():
r = db(db.group_data.id == request.vars.group_id).select().first()
return response.json(dict(group=dict(id=r.id, group_owner=r.group_owner, group_name=r.group_name, members=r.members, surf_session=r.surf_session)))
def edit_group_session():
r = db(db.group_data.id == request.vars.group_id).select().first()
r.update_record(surf_session=request.vars.session)
return 'ok'
def invite_member():
r = db(db.user_data.email == request.vars.invitee).select().first()
group_id = int(request.vars.group_id) if request.vars.group_id is not None else -1
if r.notifications is not None:
if group_id not in r.notifications:
r.notifications.append(request.vars.group_id)
r.update_record()
else:
r.update_record(notifications=[request.vars.group_id])
return 'ok'
def add_to_group():
r = db(db.group_data.id == request.vars.group_id).select().first()
u = db(db.user_data.user_id == request.vars.user_id).select().first()
if r.members is not None:
r.members.append(request.vars.guest)
r.update_record()
if u.groups is not None:
u.groups.append(request.vars.group_id)
u.update_record()
else:
u.update_record(groups=[request.vars.group_id])
else:
r.update_record(members=[request.vars.guest])
if u.groups is not None:
u.groups.append(request.vars.group_id)
u.update_record()
else:
u.update_record(groups=[request.vars.group_id])
def leave_group():
r = db(db.group_data.id == request.vars.group_id).select().first()
u = db(db.user_data.user_id == request.vars.user_id).select().first()
for (idx, mem) in enumerate(r.members):
if mem == request.vars.member:
r.members.pop(idx)
r.update_record()
group_id = int(request.vars.group_id) if request.vars.group_id is not None else -1
for (index, group) in enumerate(u.groups):
if group == group_id:
u.groups.pop(index)
u.update_record()
return 'ok'
def calculate_group_skill():
group = db(db.group_data.group_name == request.vars.group).select().first()
owner = db(db.user_data.email == group.group_owner).select().first()
skill_level = 0
counter = 0
print('owner skill lvl: ', owner.skill_level)
if owner.skill_level == 'Beginner':
skill_level = 1
elif owner.skill_level == 'Intermediate':
skill_level = 2
elif owner.skill_level == 'Advanced':
skill_level = 3
elif owner.skill_level == 'Expert':
skill_level = 4
counter = counter + 1
if group.members is None:
return skill_level
for (idx, mem) in enumerate(group.members):
user = db(db.user_data.email == mem).select().first()
print('users skill lvl: ', user.skill_level)
if user.skill_level == 'Beginner':
skill_level += 1
elif user.skill_level == 'Intermediate':
skill_level += 2
elif user.skill_level == 'Advanced':
skill_level += 3
elif user.skill_level == 'Expert':
skill_level += 4
counter = counter + 1
print('unrounded skill:', skill_level)
skill_level = round(skill_level / counter)
print('rounded skill:', skill_level)
return skill_level |
'''
This contains the entity definition for three contiguous numbers.
This would be useful for something like a phone number area code.
'''
THREE_DIGIT_PATTERN = [[['NUM'], ['NUM'], ['NUM']]]
ENTITY_DEFINITION = {
'patterns': THREE_DIGIT_PATTERN,
'spacing': {
'default': '',
}
}
| """
This contains the entity definition for three contiguous numbers.
This would be useful for something like a phone number area code.
"""
three_digit_pattern = [[['NUM'], ['NUM'], ['NUM']]]
entity_definition = {'patterns': THREE_DIGIT_PATTERN, 'spacing': {'default': ''}} |
# -*- coding:utf-8 -*-
# https://leetcode.com/problems/maximal-rectangle/description/
class Solution(object):
def maximalRectangle(self, matrix):
"""
:type matrix: List[List[str]]
:rtype: int
"""
def largestRectangleArea(heights):
ret = 0
ascent_heights = []
ascent_idxs = []
n = len(heights)
for idx, height in enumerate(heights):
if not ascent_heights or ascent_heights[-1] < height:
ascent_heights.append(height)
ascent_idxs.append(idx)
elif ascent_heights[-1] > height:
while ascent_heights and ascent_heights[-1] > height:
_height = ascent_heights.pop()
_idx = ascent_idxs.pop()
ret = max(ret, _height * (idx - _idx))
ascent_heights.append(height)
ascent_idxs.append(_idx)
while ascent_heights:
ret = max(ret, ascent_heights.pop() * (n - ascent_idxs.pop()))
return ret
if not matrix:
return 0
row = len(matrix)
col = len(matrix[0])
ret = 0
heights = [0 for i in range(col)]
for i in range(row):
for j in range(col):
if matrix[i][j] == '1':
heights[j] += 1
else:
heights[j] = 0
ret = max(ret, largestRectangleArea(heights))
return ret | class Solution(object):
def maximal_rectangle(self, matrix):
"""
:type matrix: List[List[str]]
:rtype: int
"""
def largest_rectangle_area(heights):
ret = 0
ascent_heights = []
ascent_idxs = []
n = len(heights)
for (idx, height) in enumerate(heights):
if not ascent_heights or ascent_heights[-1] < height:
ascent_heights.append(height)
ascent_idxs.append(idx)
elif ascent_heights[-1] > height:
while ascent_heights and ascent_heights[-1] > height:
_height = ascent_heights.pop()
_idx = ascent_idxs.pop()
ret = max(ret, _height * (idx - _idx))
ascent_heights.append(height)
ascent_idxs.append(_idx)
while ascent_heights:
ret = max(ret, ascent_heights.pop() * (n - ascent_idxs.pop()))
return ret
if not matrix:
return 0
row = len(matrix)
col = len(matrix[0])
ret = 0
heights = [0 for i in range(col)]
for i in range(row):
for j in range(col):
if matrix[i][j] == '1':
heights[j] += 1
else:
heights[j] = 0
ret = max(ret, largest_rectangle_area(heights))
return ret |
#def jogar():
print(40 * "*")
print("Bem vindo ao jogo da FORCA")
print(40 * "*")
palavra_secreta = 'banana'
enforcou = False
acertou = False
while not enforcou and not acertou:
chute = input("Qual letra? ")
print('jogando...')
# if __name__ == "main":
# jogar()
| print(40 * '*')
print('Bem vindo ao jogo da FORCA')
print(40 * '*')
palavra_secreta = 'banana'
enforcou = False
acertou = False
while not enforcou and (not acertou):
chute = input('Qual letra? ')
print('jogando...') |
num = 7
step = 2
begin = 41
num *= step
for i in range(begin, begin+num, step):
print(i, end=',')
| num = 7
step = 2
begin = 41
num *= step
for i in range(begin, begin + num, step):
print(i, end=',') |
campaign = {
'type': ['object', 'null'],
'properties': {
'asset_id': {'type': 'integer'},
'asset_name': {'type': 'string'},
'modified_time': {'type': 'string'},
'version_number': {'type': 'integer'},
}
}
owner = {
'type': ['object', 'null'],
'properties': {
'asset_id': {'type': 'integer'},
'first_name': {'type': 'string'},
'last_name': {'type': 'string'},
'modified_time': {'type': 'string'},
}
}
transactional_mailing = {
'type': 'object',
'properties': {
'id': {
'type': 'integer',
'description': 'The asset_id of this mailing',
},
'approved': {'type': 'boolean'},
'asset_name': {'type': 'string'},
'campaign': campaign,
'channel': {'type': 'string'},
'compliance': {'type': 'boolean'},
'mailing_priority': {'type': 'string'},
'mailing_server_group': {'type': 'string'},
'mailing_status': {'type': 'string'},
'modified_time': {'type': 'string'},
'owner': owner,
'target': {
'type': ['object', 'null'],
'properties': {
'asset_id': {'type': 'integer'},
'asset_name': {'type': 'string'},
}
},
'version_number': {'type': 'integer'}
}
}
internal_datasource = {
'type': 'object',
'properties': {
'id': {
'type': 'integer',
'description': 'The asset_id of this mailing',
},
'asset_name': {'type': 'string'},
'asset_url': {'type': 'string'},
'campaign': campaign,
'cloud_sync': {'type': 'boolean'},
'data_source_stat': {
'type': 'object',
'properties': {
'num_total_rec': {'type': 'integer'}
}
},
'modified_time': {'type': 'string'},
'owner': owner,
'version_number': {'type': 'integer'}
}
}
extension_datasource = internal_datasource
source = {
'type': ['object', 'null'],
'properties': {
'asset_id': {'type': 'integer'},
'asset_name': {'type': 'string'},
'data_source_type': {'type': 'string'},
'version_number': {'type': 'integer'},
'modified_time': {'type': 'string'},
}
}
program = {
'type': 'object',
'properties': {
'id': {
'type': 'integer',
'description': 'The asset_id of this mailing',
},
'asset_name': {'type': 'string'},
'asset_url': {'type': 'string'},
'campaign': campaign,
'modified_time': {'type': 'string'},
'owner': owner,
'primary_source': source,
'program_data_source': source,
'status': {'type': 'string'},
'type': {'type': 'string'},
}
}
endpoint_to_schema_mapping = {
'programs': program,
'mailings/transactional': transactional_mailing,
'data-sources/internal': internal_datasource,
'data-sources/extension': extension_datasource,
}
| campaign = {'type': ['object', 'null'], 'properties': {'asset_id': {'type': 'integer'}, 'asset_name': {'type': 'string'}, 'modified_time': {'type': 'string'}, 'version_number': {'type': 'integer'}}}
owner = {'type': ['object', 'null'], 'properties': {'asset_id': {'type': 'integer'}, 'first_name': {'type': 'string'}, 'last_name': {'type': 'string'}, 'modified_time': {'type': 'string'}}}
transactional_mailing = {'type': 'object', 'properties': {'id': {'type': 'integer', 'description': 'The asset_id of this mailing'}, 'approved': {'type': 'boolean'}, 'asset_name': {'type': 'string'}, 'campaign': campaign, 'channel': {'type': 'string'}, 'compliance': {'type': 'boolean'}, 'mailing_priority': {'type': 'string'}, 'mailing_server_group': {'type': 'string'}, 'mailing_status': {'type': 'string'}, 'modified_time': {'type': 'string'}, 'owner': owner, 'target': {'type': ['object', 'null'], 'properties': {'asset_id': {'type': 'integer'}, 'asset_name': {'type': 'string'}}}, 'version_number': {'type': 'integer'}}}
internal_datasource = {'type': 'object', 'properties': {'id': {'type': 'integer', 'description': 'The asset_id of this mailing'}, 'asset_name': {'type': 'string'}, 'asset_url': {'type': 'string'}, 'campaign': campaign, 'cloud_sync': {'type': 'boolean'}, 'data_source_stat': {'type': 'object', 'properties': {'num_total_rec': {'type': 'integer'}}}, 'modified_time': {'type': 'string'}, 'owner': owner, 'version_number': {'type': 'integer'}}}
extension_datasource = internal_datasource
source = {'type': ['object', 'null'], 'properties': {'asset_id': {'type': 'integer'}, 'asset_name': {'type': 'string'}, 'data_source_type': {'type': 'string'}, 'version_number': {'type': 'integer'}, 'modified_time': {'type': 'string'}}}
program = {'type': 'object', 'properties': {'id': {'type': 'integer', 'description': 'The asset_id of this mailing'}, 'asset_name': {'type': 'string'}, 'asset_url': {'type': 'string'}, 'campaign': campaign, 'modified_time': {'type': 'string'}, 'owner': owner, 'primary_source': source, 'program_data_source': source, 'status': {'type': 'string'}, 'type': {'type': 'string'}}}
endpoint_to_schema_mapping = {'programs': program, 'mailings/transactional': transactional_mailing, 'data-sources/internal': internal_datasource, 'data-sources/extension': extension_datasource} |
# Note that the performance of the solutions below will not be great,
# since we use python lists here, while linked lists would be a better
# structure to use for such recursive solutions.
#
# Note also that such implementations are prone to stack overflow, since
# when recursion is used as a substitute for a loop, the recursion depth
# can become pretty large.
# 1.A.1 - List filtering
def list_filter(lst, pred):
if not lst:
return []
fst, *rest = lst
if pred(fst):
return [fst] + list_filter(rest, pred)
else:
return list_filter(rest, pred)
# 1.A.2 - Consecutive elements runs lengths
def count_runs(lst):
if not lst:
return []
else:
fst, *rest = lst
for index, elem in enumerate(rest):
if elem != fst:
return [index + 1] + count_runs(rest[index:])
return [len(lst)]
# 1.A.3 - Positions of a subsequence in a list
def sequence_position(lst, seq, start=0):
if not seq or not lst or len(seq) > len(lst) - start:
return []
if lst[start : len(seq) + start] == seq:
return [start] + sequence_position(lst, seq, start + 1)
else:
return sequence_position(lst, seq, start + 1) | def list_filter(lst, pred):
if not lst:
return []
(fst, *rest) = lst
if pred(fst):
return [fst] + list_filter(rest, pred)
else:
return list_filter(rest, pred)
def count_runs(lst):
if not lst:
return []
else:
(fst, *rest) = lst
for (index, elem) in enumerate(rest):
if elem != fst:
return [index + 1] + count_runs(rest[index:])
return [len(lst)]
def sequence_position(lst, seq, start=0):
if not seq or not lst or len(seq) > len(lst) - start:
return []
if lst[start:len(seq) + start] == seq:
return [start] + sequence_position(lst, seq, start + 1)
else:
return sequence_position(lst, seq, start + 1) |
### Group the People Given the Group Size They Belong To - Solution
class Solution:
def groupThePeople(self, groupSizes: List[int]) -> List[List[int]]:
id_and_person = collections.defaultdict(list)
for person, id_ in enumerate(groupSizes):
id_and_person[id_].append(person)
final_group = tuple(val[i:i+key] for key, val in id_and_person.items() for i in range(0, len(val), key))
return final_group | class Solution:
def group_the_people(self, groupSizes: List[int]) -> List[List[int]]:
id_and_person = collections.defaultdict(list)
for (person, id_) in enumerate(groupSizes):
id_and_person[id_].append(person)
final_group = tuple((val[i:i + key] for (key, val) in id_and_person.items() for i in range(0, len(val), key)))
return final_group |
def cost_d(channel, amount):
return channel["outpol"]["base"] * 1000 + amount * channel["outpol"]["rate"]
def dist_d(channel, amount):
return 1
| def cost_d(channel, amount):
return channel['outpol']['base'] * 1000 + amount * channel['outpol']['rate']
def dist_d(channel, amount):
return 1 |
# Funcoes
# escopos dentro e fora
def funcao():
# escopo local
n1 = 4
print(f'N1 dentro vale {n1}')
n1 = 2
# escopo global
funcao()
print(f'N1 global vale {n1}')
| def funcao():
n1 = 4
print(f'N1 dentro vale {n1}')
n1 = 2
funcao()
print(f'N1 global vale {n1}') |
class EmptySubjectStorage:
def is_concurrency_safe(self):
return False
def is_persistent(self):
return False
def load(self):
return {}, {}
def store(self, inserts=[], updates=[], deletes=[]):
pass
def set(self, prop, old_value_default=None):
return None, None
def get(self, prop):
return None
def delete(self, prop):
pass
def get_ext_props(self):
return {}
def flush(self):
return self
| class Emptysubjectstorage:
def is_concurrency_safe(self):
return False
def is_persistent(self):
return False
def load(self):
return ({}, {})
def store(self, inserts=[], updates=[], deletes=[]):
pass
def set(self, prop, old_value_default=None):
return (None, None)
def get(self, prop):
return None
def delete(self, prop):
pass
def get_ext_props(self):
return {}
def flush(self):
return self |
#
# PySNMP MIB module HH3C-FC-FLOGIN-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HH3C-FC-FLOGIN-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:13:56 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)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint")
Hh3cFcRxMTU, Hh3cFcClassOfServices, Hh3cFcBbCredit, Hh3cFcNameId, Hh3cFcAddressId = mibBuilder.importSymbols("HH3C-FC-TC-MIB", "Hh3cFcRxMTU", "Hh3cFcClassOfServices", "Hh3cFcBbCredit", "Hh3cFcNameId", "Hh3cFcAddressId")
hh3cVsanIndex, hh3cSan = mibBuilder.importSymbols("HH3C-VSAN-MIB", "hh3cVsanIndex", "hh3cSan")
ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Bits, ModuleIdentity, NotificationType, Counter64, IpAddress, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, Integer32, Unsigned32, TimeTicks, MibIdentifier, iso, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "ModuleIdentity", "NotificationType", "Counter64", "IpAddress", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "Integer32", "Unsigned32", "TimeTicks", "MibIdentifier", "iso", "Gauge32")
DisplayString, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TruthValue")
hh3cFcFLogin = ModuleIdentity((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3))
hh3cFcFLogin.setRevisions(('2013-02-27 11:00',))
if mibBuilder.loadTexts: hh3cFcFLogin.setLastUpdated('201302271100Z')
if mibBuilder.loadTexts: hh3cFcFLogin.setOrganization('Hangzhou H3C Tech. Co., Ltd.')
hh3cFcFLoginMibObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1))
hh3cFcFLoginTable = MibTable((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1), )
if mibBuilder.loadTexts: hh3cFcFLoginTable.setStatus('current')
hh3cFcFLoginEntry = MibTableRow((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "HH3C-VSAN-MIB", "hh3cVsanIndex"), (0, "HH3C-FC-FLOGIN-MIB", "hh3cFcFLoginIndex"))
if mibBuilder.loadTexts: hh3cFcFLoginEntry.setStatus('current')
hh3cFcFLoginIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 1), Hh3cFcAddressId())
if mibBuilder.loadTexts: hh3cFcFLoginIndex.setStatus('current')
hh3cFcFLoginPortNodeWWN = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 2), Hh3cFcNameId()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginPortNodeWWN.setStatus('current')
hh3cFcFLoginPortWWN = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 3), Hh3cFcNameId()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginPortWWN.setStatus('current')
hh3cFcFLoginPortFcId = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 4), Hh3cFcAddressId()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginPortFcId.setStatus('current')
hh3cFcFLoginRxBbCredit = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 5), Hh3cFcBbCredit()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginRxBbCredit.setStatus('current')
hh3cFcFLoginTxBbCredit = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 6), Hh3cFcBbCredit()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginTxBbCredit.setStatus('current')
hh3cFcFLoginClass2RxMTU = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 7), Hh3cFcRxMTU()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginClass2RxMTU.setStatus('current')
hh3cFcFLoginClass3RxMTU = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 8), Hh3cFcRxMTU()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginClass3RxMTU.setStatus('current')
hh3cFcFLoginSuppClassRequested = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 9), Hh3cFcClassOfServices()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginSuppClassRequested.setStatus('current')
hh3cFcFLoginClass2ReqAgreed = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 10), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginClass2ReqAgreed.setStatus('current')
hh3cFcFLoginClass3ReqAgreed = MibTableColumn((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 11), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hh3cFcFLoginClass3ReqAgreed.setStatus('current')
mibBuilder.exportSymbols("HH3C-FC-FLOGIN-MIB", hh3cFcFLoginClass2ReqAgreed=hh3cFcFLoginClass2ReqAgreed, hh3cFcFLoginClass3ReqAgreed=hh3cFcFLoginClass3ReqAgreed, PYSNMP_MODULE_ID=hh3cFcFLogin, hh3cFcFLoginTxBbCredit=hh3cFcFLoginTxBbCredit, hh3cFcFLoginTable=hh3cFcFLoginTable, hh3cFcFLoginPortWWN=hh3cFcFLoginPortWWN, hh3cFcFLoginIndex=hh3cFcFLoginIndex, hh3cFcFLoginPortNodeWWN=hh3cFcFLoginPortNodeWWN, hh3cFcFLoginEntry=hh3cFcFLoginEntry, hh3cFcFLoginRxBbCredit=hh3cFcFLoginRxBbCredit, hh3cFcFLoginClass2RxMTU=hh3cFcFLoginClass2RxMTU, hh3cFcFLogin=hh3cFcFLogin, hh3cFcFLoginSuppClassRequested=hh3cFcFLoginSuppClassRequested, hh3cFcFLoginMibObjects=hh3cFcFLoginMibObjects, hh3cFcFLoginPortFcId=hh3cFcFLoginPortFcId, hh3cFcFLoginClass3RxMTU=hh3cFcFLoginClass3RxMTU)
| (integer, octet_string, object_identifier) = mibBuilder.importSymbols('ASN1', 'Integer', 'OctetString', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_intersection, constraints_union, single_value_constraint, value_size_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ConstraintsUnion', 'SingleValueConstraint', 'ValueSizeConstraint', 'ValueRangeConstraint')
(hh3c_fc_rx_mtu, hh3c_fc_class_of_services, hh3c_fc_bb_credit, hh3c_fc_name_id, hh3c_fc_address_id) = mibBuilder.importSymbols('HH3C-FC-TC-MIB', 'Hh3cFcRxMTU', 'Hh3cFcClassOfServices', 'Hh3cFcBbCredit', 'Hh3cFcNameId', 'Hh3cFcAddressId')
(hh3c_vsan_index, hh3c_san) = mibBuilder.importSymbols('HH3C-VSAN-MIB', 'hh3cVsanIndex', 'hh3cSan')
(if_index,) = mibBuilder.importSymbols('IF-MIB', 'ifIndex')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(bits, module_identity, notification_type, counter64, ip_address, counter32, mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, integer32, unsigned32, time_ticks, mib_identifier, iso, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'ModuleIdentity', 'NotificationType', 'Counter64', 'IpAddress', 'Counter32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'Integer32', 'Unsigned32', 'TimeTicks', 'MibIdentifier', 'iso', 'Gauge32')
(display_string, textual_convention, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention', 'TruthValue')
hh3c_fc_f_login = module_identity((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3))
hh3cFcFLogin.setRevisions(('2013-02-27 11:00',))
if mibBuilder.loadTexts:
hh3cFcFLogin.setLastUpdated('201302271100Z')
if mibBuilder.loadTexts:
hh3cFcFLogin.setOrganization('Hangzhou H3C Tech. Co., Ltd.')
hh3c_fc_f_login_mib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1))
hh3c_fc_f_login_table = mib_table((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1))
if mibBuilder.loadTexts:
hh3cFcFLoginTable.setStatus('current')
hh3c_fc_f_login_entry = mib_table_row((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'HH3C-VSAN-MIB', 'hh3cVsanIndex'), (0, 'HH3C-FC-FLOGIN-MIB', 'hh3cFcFLoginIndex'))
if mibBuilder.loadTexts:
hh3cFcFLoginEntry.setStatus('current')
hh3c_fc_f_login_index = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 1), hh3c_fc_address_id())
if mibBuilder.loadTexts:
hh3cFcFLoginIndex.setStatus('current')
hh3c_fc_f_login_port_node_wwn = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 2), hh3c_fc_name_id()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginPortNodeWWN.setStatus('current')
hh3c_fc_f_login_port_wwn = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 3), hh3c_fc_name_id()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginPortWWN.setStatus('current')
hh3c_fc_f_login_port_fc_id = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 4), hh3c_fc_address_id()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginPortFcId.setStatus('current')
hh3c_fc_f_login_rx_bb_credit = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 5), hh3c_fc_bb_credit()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginRxBbCredit.setStatus('current')
hh3c_fc_f_login_tx_bb_credit = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 6), hh3c_fc_bb_credit()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginTxBbCredit.setStatus('current')
hh3c_fc_f_login_class2_rx_mtu = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 7), hh3c_fc_rx_mtu()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginClass2RxMTU.setStatus('current')
hh3c_fc_f_login_class3_rx_mtu = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 8), hh3c_fc_rx_mtu()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginClass3RxMTU.setStatus('current')
hh3c_fc_f_login_supp_class_requested = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 9), hh3c_fc_class_of_services()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginSuppClassRequested.setStatus('current')
hh3c_fc_f_login_class2_req_agreed = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 10), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginClass2ReqAgreed.setStatus('current')
hh3c_fc_f_login_class3_req_agreed = mib_table_column((1, 3, 6, 1, 4, 1, 25506, 2, 127, 3, 1, 1, 1, 11), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hh3cFcFLoginClass3ReqAgreed.setStatus('current')
mibBuilder.exportSymbols('HH3C-FC-FLOGIN-MIB', hh3cFcFLoginClass2ReqAgreed=hh3cFcFLoginClass2ReqAgreed, hh3cFcFLoginClass3ReqAgreed=hh3cFcFLoginClass3ReqAgreed, PYSNMP_MODULE_ID=hh3cFcFLogin, hh3cFcFLoginTxBbCredit=hh3cFcFLoginTxBbCredit, hh3cFcFLoginTable=hh3cFcFLoginTable, hh3cFcFLoginPortWWN=hh3cFcFLoginPortWWN, hh3cFcFLoginIndex=hh3cFcFLoginIndex, hh3cFcFLoginPortNodeWWN=hh3cFcFLoginPortNodeWWN, hh3cFcFLoginEntry=hh3cFcFLoginEntry, hh3cFcFLoginRxBbCredit=hh3cFcFLoginRxBbCredit, hh3cFcFLoginClass2RxMTU=hh3cFcFLoginClass2RxMTU, hh3cFcFLogin=hh3cFcFLogin, hh3cFcFLoginSuppClassRequested=hh3cFcFLoginSuppClassRequested, hh3cFcFLoginMibObjects=hh3cFcFLoginMibObjects, hh3cFcFLoginPortFcId=hh3cFcFLoginPortFcId, hh3cFcFLoginClass3RxMTU=hh3cFcFLoginClass3RxMTU) |
def desenha(linha):
while linha > 0:
coluna = 1
while coluna <= linha:
print('*', end = "")
coluna = coluna + 1
print()
linha = linha - 1
desenha(5) | def desenha(linha):
while linha > 0:
coluna = 1
while coluna <= linha:
print('*', end='')
coluna = coluna + 1
print()
linha = linha - 1
desenha(5) |
class TerminationCondition:
"""
Abstract class.
"""
def should_terminate(self, population):
"""
Executed by EvolutionEngine to determine when to end process. Returns True if evolution process should be
terminated.
:param population: Population
:return: boolean
"""
raise NotImplementedError()
| class Terminationcondition:
"""
Abstract class.
"""
def should_terminate(self, population):
"""
Executed by EvolutionEngine to determine when to end process. Returns True if evolution process should be
terminated.
:param population: Population
:return: boolean
"""
raise not_implemented_error() |
# Momijigaoka | Unfamiliar Hillside
if sm.getFieldID() == 807040100:
sm.warp(807000000, 1)
else:
sm.warp(807040100, 0) | if sm.getFieldID() == 807040100:
sm.warp(807000000, 1)
else:
sm.warp(807040100, 0) |
if __name__ == '__main__':
n = int(input())
for i in range(n):
print(i*i)
'''
==>range(lower_limit , upper_limit , incerment / Decrement)
lower_limit is inclusive
upper_limit is not included
==>range(upper_limit)
''' | if __name__ == '__main__':
n = int(input())
for i in range(n):
print(i * i)
'\n==>range(lower_limit , upper_limit , incerment / Decrement)\nlower_limit is inclusive\nupper_limit is not included\n\n==>range(upper_limit)\n' |
def get_token(fi='dont.mess.with.me'):
with open(fi, 'r') as f:
return f.readline().strip()
t = get_token() | def get_token(fi='dont.mess.with.me'):
with open(fi, 'r') as f:
return f.readline().strip()
t = get_token() |
choices = ['1', '2', '3', '4', '5', '6', '7', '8', '9']
print('\n')
print('|' + choices[0] + '|' + choices[1] + '|' + choices[2] + '|')
print('----------')
print('|' + choices[3] + '|' + choices[4] + '|' + choices[5] + '|')
print('----------')
print('|' + choices[6] + '|' + choices[7] + '|' + choices[8] + '|')
| choices = ['1', '2', '3', '4', '5', '6', '7', '8', '9']
print('\n')
print('|' + choices[0] + '|' + choices[1] + '|' + choices[2] + '|')
print('----------')
print('|' + choices[3] + '|' + choices[4] + '|' + choices[5] + '|')
print('----------')
print('|' + choices[6] + '|' + choices[7] + '|' + choices[8] + '|') |
class Solution:
def majorityElement(self, nums: list[int]) -> int:
current = 0
count = 0
for num in nums:
if count == 0:
current = num
count = 1
continue
if num == current:
count += 1
else:
count -= 1
return current
tests = [
(
([3, 2, 3],),
3,
),
(
([2, 2, 1, 1, 1, 2, 2],),
2,
),
]
| class Solution:
def majority_element(self, nums: list[int]) -> int:
current = 0
count = 0
for num in nums:
if count == 0:
current = num
count = 1
continue
if num == current:
count += 1
else:
count -= 1
return current
tests = [(([3, 2, 3],), 3), (([2, 2, 1, 1, 1, 2, 2],), 2)] |
#
# Binomial heap (Python)
#
# Copyright (c) 2018 Project Nayuki. (MIT License)
# https://www.nayuki.io/page/binomial-heap
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
# the Software, and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
# - The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
# - The Software is provided "as is", without warranty of any kind, express or
# implied, including but not limited to the warranties of merchantability,
# fitness for a particular purpose and noninfringement. In no event shall the
# authors or copyright holders be liable for any claim, damages or other
# liability, whether in an action of contract, tort or otherwise, arising from,
# out of or in connection with the Software or the use or other dealings in the
# Software.
#
class BinomialTree:
def __init__(self, key):
self.key = key
self.children = []
self.order = 0
def add_at_end(self, t):
self.children.append(t)
self.order = self.order + 1
class BinomialHeap:
def __init__(self):
self.trees = []
def extract_min(self):
if self.trees == []:
return None
smallest_node = self.trees[0]
for tree in self.trees:
if tree.key < smallest_node.key:
smallest_node = tree
self.trees.remove(smallest_node)
h = BinomialHeap()
h.trees = smallest_node.children
self.merge(h)
return smallest_node.key
def get_min(self):
if self.trees == []:
return None
least = self.trees[0].key
for tree in self.trees:
if tree.key < least:
least = tree.key
return least
def combine_roots(self, h):
self.trees.extend(h.trees)
self.trees.sort(key=lambda tree: tree.order)
def merge(self, h):
self.combine_roots(h)
if self.trees == []:
return
i = 0
while i < len(self.trees) - 1:
current = self.trees[i]
after = self.trees[i + 1]
if current.order == after.order:
if (i + 1 < len(self.trees) - 1
and self.trees[i + 2].order == after.order):
after_after = self.trees[i + 2]
if after.key < after_after.key:
after.add_at_end(after_after)
del self.trees[i + 2]
else:
after_after.add_at_end(after)
del self.trees[i + 1]
else:
if current.key < after.key:
current.add_at_end(after)
del self.trees[i + 1]
else:
after.add_at_end(current)
del self.trees[i]
i = i + 1
def insert(self, key):
g = BinomialHeap()
g.trees.append(BinomialTree(key))
self.merge(g)
| class Binomialtree:
def __init__(self, key):
self.key = key
self.children = []
self.order = 0
def add_at_end(self, t):
self.children.append(t)
self.order = self.order + 1
class Binomialheap:
def __init__(self):
self.trees = []
def extract_min(self):
if self.trees == []:
return None
smallest_node = self.trees[0]
for tree in self.trees:
if tree.key < smallest_node.key:
smallest_node = tree
self.trees.remove(smallest_node)
h = binomial_heap()
h.trees = smallest_node.children
self.merge(h)
return smallest_node.key
def get_min(self):
if self.trees == []:
return None
least = self.trees[0].key
for tree in self.trees:
if tree.key < least:
least = tree.key
return least
def combine_roots(self, h):
self.trees.extend(h.trees)
self.trees.sort(key=lambda tree: tree.order)
def merge(self, h):
self.combine_roots(h)
if self.trees == []:
return
i = 0
while i < len(self.trees) - 1:
current = self.trees[i]
after = self.trees[i + 1]
if current.order == after.order:
if i + 1 < len(self.trees) - 1 and self.trees[i + 2].order == after.order:
after_after = self.trees[i + 2]
if after.key < after_after.key:
after.add_at_end(after_after)
del self.trees[i + 2]
else:
after_after.add_at_end(after)
del self.trees[i + 1]
elif current.key < after.key:
current.add_at_end(after)
del self.trees[i + 1]
else:
after.add_at_end(current)
del self.trees[i]
i = i + 1
def insert(self, key):
g = binomial_heap()
g.trees.append(binomial_tree(key))
self.merge(g) |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 20 21:08:16 2018
@author: aarontallman
"""
#import data_collection
#import model_building
#import game_player
| """
Created on Sat Jan 20 21:08:16 2018
@author: aarontallman
""" |
class NotFoundException(Exception):
pass
class ExistsException(Exception):
pass
class InvalidFilter(Exception):
pass
class IncorrectFormatException(Exception):
pass
| class Notfoundexception(Exception):
pass
class Existsexception(Exception):
pass
class Invalidfilter(Exception):
pass
class Incorrectformatexception(Exception):
pass |
# uncompyle6 version 2.9.10
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.0b2 (default, Oct 11 2016, 05:27:10)
# [GCC 6.2.0 20161005]
# Embedded file name: audit.py
ERR_AUDIT_SUCCESS = 0
ERR_AUDIT_DISABLE_FAILED = 1
ERR_AUDIT_ENABLE_FAILED = 2
ERR_AUDIT_UNKNOWN_TYPE = 3
ERR_AUDIT_EXCEPTION = 4
ERR_AUDIT_PROCESS_NOT_FOUND = 5
ERR_AUDIT_OPEN_PROCESS_FAILED = 6
ERR_AUDIT_MODULE_BASE_NOT_FOUND = 7
ERR_AUDIT_READ_MEMORY_FAILED = 8
ERR_AUDIT_MEMORY_ALLOC_FAILED = 9
ERR_AUDIT_PATTERN_MATCH_FAILED = 10
ERR_AUDIT_MODIFY_PROTECTION_FAILED = 11
ERR_AUDIT_FAILED_VALUE_READ = 12
ERR_AUDIT_FAILED_VALUE_WRITE = 13
ERR_AUDIT_VALUE_UNEXPECTED = 14
ERR_AUDIT_INVALID_PARAMETER = 15
errorStrings = {ERR_AUDIT_DISABLE_FAILED: 'Disable of auditing failed',
ERR_AUDIT_ENABLE_FAILED: 'Enable of auditing failed',
ERR_AUDIT_UNKNOWN_TYPE: 'Unknown audit type',
ERR_AUDIT_EXCEPTION: 'Exception thrown attempting to modify auditing',
ERR_AUDIT_PROCESS_NOT_FOUND: 'Process for audit change not found',
ERR_AUDIT_OPEN_PROCESS_FAILED: 'Unable to open auditing process using all known methods',
ERR_AUDIT_MODULE_BASE_NOT_FOUND: 'Base for necessary auditing dll not found',
ERR_AUDIT_READ_MEMORY_FAILED: 'Read of audit related process memory failed',
ERR_AUDIT_MEMORY_ALLOC_FAILED: 'Memory allocation failed',
ERR_AUDIT_PATTERN_MATCH_FAILED: 'Pattern match of code failed',
ERR_AUDIT_MODIFY_PROTECTION_FAILED: 'Change of memory protection failed',
ERR_AUDIT_FAILED_VALUE_READ: 'Read of memory value needed for audit changes failed',
ERR_AUDIT_FAILED_VALUE_WRITE: 'Write of memory value needed for audit changes failed',
ERR_AUDIT_VALUE_UNEXPECTED: 'Unexpected value found in memory (** This may indicate that auditing has already been patched **)',
ERR_AUDIT_INVALID_PARAMETER: 'Invalid parameter'
} | err_audit_success = 0
err_audit_disable_failed = 1
err_audit_enable_failed = 2
err_audit_unknown_type = 3
err_audit_exception = 4
err_audit_process_not_found = 5
err_audit_open_process_failed = 6
err_audit_module_base_not_found = 7
err_audit_read_memory_failed = 8
err_audit_memory_alloc_failed = 9
err_audit_pattern_match_failed = 10
err_audit_modify_protection_failed = 11
err_audit_failed_value_read = 12
err_audit_failed_value_write = 13
err_audit_value_unexpected = 14
err_audit_invalid_parameter = 15
error_strings = {ERR_AUDIT_DISABLE_FAILED: 'Disable of auditing failed', ERR_AUDIT_ENABLE_FAILED: 'Enable of auditing failed', ERR_AUDIT_UNKNOWN_TYPE: 'Unknown audit type', ERR_AUDIT_EXCEPTION: 'Exception thrown attempting to modify auditing', ERR_AUDIT_PROCESS_NOT_FOUND: 'Process for audit change not found', ERR_AUDIT_OPEN_PROCESS_FAILED: 'Unable to open auditing process using all known methods', ERR_AUDIT_MODULE_BASE_NOT_FOUND: 'Base for necessary auditing dll not found', ERR_AUDIT_READ_MEMORY_FAILED: 'Read of audit related process memory failed', ERR_AUDIT_MEMORY_ALLOC_FAILED: 'Memory allocation failed', ERR_AUDIT_PATTERN_MATCH_FAILED: 'Pattern match of code failed', ERR_AUDIT_MODIFY_PROTECTION_FAILED: 'Change of memory protection failed', ERR_AUDIT_FAILED_VALUE_READ: 'Read of memory value needed for audit changes failed', ERR_AUDIT_FAILED_VALUE_WRITE: 'Write of memory value needed for audit changes failed', ERR_AUDIT_VALUE_UNEXPECTED: 'Unexpected value found in memory (** This may indicate that auditing has already been patched **)', ERR_AUDIT_INVALID_PARAMETER: 'Invalid parameter'} |
print(1+42
+246
+287
+728
+1434
+1673
+1880
+4264
+6237
+9799
+9855
+18330
+21352
+21385
+24856
+36531
+39990
+46655
+57270
+66815
+92664
+125255
+156570
+182665
+208182
+212949
+242879
+273265
+380511
+391345
+411558
+539560
+627215
+693160
+730145
+741096
+773224
+814463
+931722
+992680
+1069895
+1087009
+1143477
+1166399
+1422577
+1592935
+1815073
+2281255
+2544697
+2713880
+2722005
+2828385
+3054232
+3132935
+3145240
+3188809
+3508456
+4026280
+4647985
+4730879
+5024488
+5054015
+5143945
+5260710
+5938515
+6128024
+6236705
+6366767
+6956927
+6996904
+7133672
+7174440+7538934
+7736646
+7818776
+8292583
+8429967
+8504595
+8795423+9026087
+9963071
+11477130
+11538505
+11725560
+12158135
+12939480
+12948776
+13495720
+13592118
+13736408
+15203889
+15857471
+16149848
+16436490
+16487415
+16909849
+18391401
+18422120
+20549528
+20813976
+20871649
+21251412
+22713455
+23250645
+23630711
+24738935
+26338473
+26343030
+26594568
+28113048
+29429144
+29778762
+29973414
+30666090
+30915027
+34207446
+34741889
+34968983
+35721896
+37113593
+37343065
+38598255
+39256230
+42021720
+44935590
+45795688
+45798935
+48988758
+49375521
+51516049
+51912289
+52867081
+56215914
+59748234
+61116363
+62158134
+63286535) | print(1 + 42 + 246 + 287 + 728 + 1434 + 1673 + 1880 + 4264 + 6237 + 9799 + 9855 + 18330 + 21352 + 21385 + 24856 + 36531 + 39990 + 46655 + 57270 + 66815 + 92664 + 125255 + 156570 + 182665 + 208182 + 212949 + 242879 + 273265 + 380511 + 391345 + 411558 + 539560 + 627215 + 693160 + 730145 + 741096 + 773224 + 814463 + 931722 + 992680 + 1069895 + 1087009 + 1143477 + 1166399 + 1422577 + 1592935 + 1815073 + 2281255 + 2544697 + 2713880 + 2722005 + 2828385 + 3054232 + 3132935 + 3145240 + 3188809 + 3508456 + 4026280 + 4647985 + 4730879 + 5024488 + 5054015 + 5143945 + 5260710 + 5938515 + 6128024 + 6236705 + 6366767 + 6956927 + 6996904 + 7133672 + 7174440 + 7538934 + 7736646 + 7818776 + 8292583 + 8429967 + 8504595 + 8795423 + 9026087 + 9963071 + 11477130 + 11538505 + 11725560 + 12158135 + 12939480 + 12948776 + 13495720 + 13592118 + 13736408 + 15203889 + 15857471 + 16149848 + 16436490 + 16487415 + 16909849 + 18391401 + 18422120 + 20549528 + 20813976 + 20871649 + 21251412 + 22713455 + 23250645 + 23630711 + 24738935 + 26338473 + 26343030 + 26594568 + 28113048 + 29429144 + 29778762 + 29973414 + 30666090 + 30915027 + 34207446 + 34741889 + 34968983 + 35721896 + 37113593 + 37343065 + 38598255 + 39256230 + 42021720 + 44935590 + 45795688 + 45798935 + 48988758 + 49375521 + 51516049 + 51912289 + 52867081 + 56215914 + 59748234 + 61116363 + 62158134 + 63286535) |
"""Classes for handling modeling protocols.
"""
class Step(object):
"""A single step in a :class:`Protocol`.
This class describes a generic step in a modeling protocol. In most
cases, a more specific subclass should be used, such as
:class:`TemplateSearchStep`, :class:`ModelingStep`, or
:class:`ModelSelectionStep`.
:param input_data: Any objects that this step takes as input.
Any individual :class:`modelcif.data.Data` object (such as
a template structure, target sequence, alignment, or model
coordinates) can be given here, or a group of such objects (as a
:class:`modelcif.data.DataGroup` object) can be passed.
:type input_data: :class:`modelcif.data.DataGroup`
or :class:`modelcif.data.Data`
:param output_data: Any objects that this step creates as output,
similarly to ``input_data``.
:type output_data: :class:`modelcif.data.DataGroup`
or :class:`modelcif.data.Data`
:param str name: A short name for this step.
:param str details: Longer description of this step.
:param software: The software that was employed in this modeling step.
:type software: :class:`modelcif.Software`
or :class:`modelcif.SoftwareGroup`
"""
method_type = "other"
def __init__(self, input_data, output_data, name=None, details=None,
software=None):
self.input_data, self.output_data = input_data, output_data
self.name, self.details, self.software = name, details, software
class TemplateSearchStep(Step):
"""A modeling protocol step that searches for templates.
See :class:`Step` for more details."""
method_type = "template search"
class ModelingStep(Step):
"""A modeling protocol step that generates model coordinates.
See :class:`Step` for more details."""
method_type = "modeling"
class ModelSelectionStep(Step):
"""A modeling protocol step that filters candidates to select models.
See :class:`Step` for more details."""
method_type = "model selection"
class Protocol(object):
"""A modeling protocol.
Each protocol consists of a number of protocol steps."""
def __init__(self):
#: All modeling steps (:class:`Step` objects)
self.steps = []
| """Classes for handling modeling protocols.
"""
class Step(object):
"""A single step in a :class:`Protocol`.
This class describes a generic step in a modeling protocol. In most
cases, a more specific subclass should be used, such as
:class:`TemplateSearchStep`, :class:`ModelingStep`, or
:class:`ModelSelectionStep`.
:param input_data: Any objects that this step takes as input.
Any individual :class:`modelcif.data.Data` object (such as
a template structure, target sequence, alignment, or model
coordinates) can be given here, or a group of such objects (as a
:class:`modelcif.data.DataGroup` object) can be passed.
:type input_data: :class:`modelcif.data.DataGroup`
or :class:`modelcif.data.Data`
:param output_data: Any objects that this step creates as output,
similarly to ``input_data``.
:type output_data: :class:`modelcif.data.DataGroup`
or :class:`modelcif.data.Data`
:param str name: A short name for this step.
:param str details: Longer description of this step.
:param software: The software that was employed in this modeling step.
:type software: :class:`modelcif.Software`
or :class:`modelcif.SoftwareGroup`
"""
method_type = 'other'
def __init__(self, input_data, output_data, name=None, details=None, software=None):
(self.input_data, self.output_data) = (input_data, output_data)
(self.name, self.details, self.software) = (name, details, software)
class Templatesearchstep(Step):
"""A modeling protocol step that searches for templates.
See :class:`Step` for more details."""
method_type = 'template search'
class Modelingstep(Step):
"""A modeling protocol step that generates model coordinates.
See :class:`Step` for more details."""
method_type = 'modeling'
class Modelselectionstep(Step):
"""A modeling protocol step that filters candidates to select models.
See :class:`Step` for more details."""
method_type = 'model selection'
class Protocol(object):
"""A modeling protocol.
Each protocol consists of a number of protocol steps."""
def __init__(self):
self.steps = [] |
features = [
{"name": "ntp", "ordered": True, "section": ["ntp server "]},
{"name": "vlan", "ordered": True, "section": ["vlan "]},
]
| features = [{'name': 'ntp', 'ordered': True, 'section': ['ntp server ']}, {'name': 'vlan', 'ordered': True, 'section': ['vlan ']}] |
backpack = False
dollars = .50
if backpack and dollars >= 1.0:
print('Ride the bus!')
| backpack = False
dollars = 0.5
if backpack and dollars >= 1.0:
print('Ride the bus!') |
t = int(input())
for i in range(t):
n, a, b, k = map(int, input().split())
f = 0
c = max(a, b)
d = min(a, b)
if c % d != 0:
f = n//c + n//d - 2 * (n//(c*d))
if c % d == 0:
f = n//d - n//c
if k <= f:
print("Win")
else:
print("Lose")
| t = int(input())
for i in range(t):
(n, a, b, k) = map(int, input().split())
f = 0
c = max(a, b)
d = min(a, b)
if c % d != 0:
f = n // c + n // d - 2 * (n // (c * d))
if c % d == 0:
f = n // d - n // c
if k <= f:
print('Win')
else:
print('Lose') |
#!/usr/bin/env python3
# Author : Chris Azzara
# Purpose : Repeatedly ask user to input an IP address and add it to a list.
# If the user enters in 10.10.3.1 or 10.20.5.2, warn user not to use this IP
# If the user enters a 'q', exit the loop and display the list of IP Addresses
# This script assumes the user will enter a valid IPv4 address
# Prompt to display to user
menu = "Enter in an IP Address or type 'q' to quit!\n"
ip_addrs = []
choice = '' # choice is initially empty
while choice.lower() != 'q': # As long as 'choice' isn't 'q' the loop will continue
choice = input(menu)
if choice == '10.10.3.1':
print("Error: That is the Gateway's IP address")
elif choice == '10.20.5.2':
print("Error: That is the DNS server's IP address")
elif choice != 'q': # We don't want the 'q' to be appended to the list
ip_addrs.append(choice)
else:
print("Here is the list of IPs: ")
print(ip_addrs)
print("Script Exiting...")
| menu = "Enter in an IP Address or type 'q' to quit!\n"
ip_addrs = []
choice = ''
while choice.lower() != 'q':
choice = input(menu)
if choice == '10.10.3.1':
print("Error: That is the Gateway's IP address")
elif choice == '10.20.5.2':
print("Error: That is the DNS server's IP address")
elif choice != 'q':
ip_addrs.append(choice)
else:
print('Here is the list of IPs: ')
print(ip_addrs)
print('Script Exiting...') |
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