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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
424526fe4c6b2ac3f5a89f36e3f865f5c458509b | 9d2bafb07baf657c447d09a6bc5a6e551ba1806d | /ros2_ws/build/ros2srv/build/lib/ros2srv/api/__init__.py | c1fba609b68266f574397fa8a54e3448c92a64c2 | []
| no_license | weidafan/ros2_dds | f65c4352899a72e1ade662b4106e822d80a99403 | c0d9e6ff97cb7cc822fe25a62c0b1d56f7d12c59 | refs/heads/master | 2021-09-05T20:47:49.088161 | 2018-01-30T21:03:59 | 2018-01-30T21:03:59 | 119,592,597 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,818 | py | # Copyright 2017 Open Source Robotics Foundation, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from ament_index_python import get_resource
from ament_index_python import get_resources
from ament_index_python import has_resource
def get_all_service_types():
all_service_types = {}
for package_name in get_resources('rosidl_interfaces'):
service_types = get_service_types(package_name)
if service_types:
all_service_types[package_name] = service_types
return all_service_types
def get_service_types(package_name):
if not has_resource('packages', package_name):
raise LookupError('Unknown package name')
try:
content, _ = get_resource('rosidl_interfaces', package_name)
except LookupError:
return []
interface_names = content.splitlines()
# TODO(dirk-thomas) this logic should come from a rosidl related package
return [n[:-4] for n in interface_names if n.endswith('.srv')]
def get_service_path(package_name, service_name):
service_types = get_service_types(package_name)
if service_name not in service_types:
raise LookupError('Unknown service name')
prefix_path = has_resource('packages', package_name)
# TODO(dirk-thomas) this logic should come from a rosidl related package
return os.path.join(
prefix_path, 'share', package_name, 'srv', service_name + '.srv')
def service_package_name_completer(**kwargs):
"""Callable returning a list of package names which contain services."""
return get_all_service_types().keys()
def service_type_completer(**kwargs):
"""Callable returning a list of service types."""
service_types = []
for package_name, service_names in get_all_service_types().items():
for service_name in service_names:
service_types.append(
'{package_name}/{service_name}'.format_map(locals()))
return service_types
class ServiceNameCompleter(object):
"""Callable returning a list of service names within a package."""
def __init__(self, *, package_name_key=None):
self.package_name_key = package_name_key
def __call__(self, prefix, parsed_args, **kwargs):
package_name = getattr(parsed_args, self.package_name_key)
return get_service_types(package_name)
| [
"[email protected]"
]
| |
34a1bc435f15323b65afae54e614c78de3b10f20 | 4012f290d83ae7f4c09d7440f26d2acd7e63efbe | /1165.py | 6450daed28443ca9a0500ef96a76167a16f51d03 | []
| no_license | jinaur/codeup | ffc2d0fdf73892c1f46d80021ad8f4c1293c9e2e | 5f75ace909e2b3151171932cc3ee9f3c49dd46d9 | refs/heads/master | 2023-04-15T07:42:06.244806 | 2021-04-25T13:59:42 | 2021-04-25T13:59:42 | 277,760,813 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 115 | py | a, b = list(map(int, input().split()))
while True :
if a >= 90 :
break
a += 5
b += 1
print(b) | [
"[email protected]"
]
| |
39490f513add0e0a5c8110a317483eff540be3e1 | e84e699767444315ac2096b3ece1659ba2873ae3 | /radio/templatetags/show_stars.py | bd6749ed39e9404bd4b450a2938de695e41ca7a1 | [
"BSD-3-Clause"
]
| permissive | ftrain/django-ftrain | 1e6ac41211dba5e69eabf1a4a85c2aec0c048959 | af535fda8e113e9dcdac31216852e35a01d3b950 | refs/heads/master | 2021-01-21T01:46:53.957091 | 2009-12-28T15:31:26 | 2009-12-28T15:31:26 | 259,071 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,808 | py | import math
from django.template import Library, Node, TemplateSyntaxError, VariableDoesNotExist, resolve_variable
from django.conf import settings
register = Library()
IMG_TEMPLATE = '<img src="%s" alt="%s"/>'
PATH_TO_WHOLE_STAR = IMG_TEMPLATE % (settings.MEDIA_URL + 'e/stars/star.png', "Whole Star")
PATH_TO_THREE_QUARTER_STAR = IMG_TEMPLATE % (settings.MEDIA_URL + 'e/stars/three-quarter.png', "3/4 Star")
PATH_TO_HALF_STAR = IMG_TEMPLATE % (settings.MEDIA_URL + 'e/stars/half.png', "1/2 Star")
PATH_TO_QUARTER_STAR = IMG_TEMPLATE % (settings.MEDIA_URL + 'e/stars/quarter.png', "1/4 Star")
PATH_TO_BLANK_STAR = IMG_TEMPLATE % (settings.MEDIA_URL + 'e/stars/blank.png', "Empty Star")
class ShowStarsNode(Node):
""" Default rounding is to the whole unit """
def __init__(self, context_var, total_stars, round_to):
self.context_var = context_var
self.total_stars = int(total_stars)
self.round_to = round_to.lower()
def render(self, context):
try:
stars = resolve_variable(self.context_var, context)
except VariableDoesNotExist:
return ''
if self.round_to == "half":
stars = round(stars*2)/2
elif self.round_to == "quarter":
stars = round(stars*4)/4
else:
stars = round(stars)
fraction, integer = math.modf(stars)
integer = int(integer)
output = []
for whole_star in range(integer):
output.append(PATH_TO_WHOLE_STAR)
if self.round_to == 'half' and fraction == .5:
output.append(PATH_TO_HALF_STAR)
elif self.round_to == 'quarter':
if fraction == .25:
output.append(PATH_TO_QUARTER_STAR)
elif fraction == .5:
output.append(PATH_TO_HALF_STAR)
elif fraction == .75:
output.append(PATH_TO_THREE_QUARTER_STAR)
if fraction:
integer += 1
blanks = int(self.total_stars - integer)
for blank_star in range(blanks):
output.append(PATH_TO_BLANK_STAR)
return "".join(output)
""" show_stars context_var of 5 round to half """
def do_show_stars(parser, token):
args = token.contents.split()
if len(args) != 7:
raise TemplateSyntaxError('%s tag requires exactly six arguments' % args[0])
if args[2] != 'of':
raise TemplateSyntaxError("second argument to '%s' tag must be 'of'" % args[0])
if args[4] != 'round':
raise TemplateSyntaxError("fourth argument to '%s' tag must be 'round'" % args[0])
if args[5] != 'to':
raise TemplateSyntaxError("fourth argument to '%s' tag must be 'to'" % args[0])
return ShowStarsNode(args[1], args[3], args[6])
register.tag('show_stars', do_show_stars)
| [
"[email protected]"
]
| |
a789a909f89e7fc0ec0c3ce4cbafd1e65fa6a22e | 113ef54e42a047e9e631b557012411ecfac72c47 | /siphon/web/apps/submissions/migrations/0006_auto_20160224_0639.py | 8a5b27e311ba3669f3c194106114013581a4ae54 | [
"MIT"
]
| permissive | siphoncode/siphon-web | 77bd241d5f3912ee78155c2b71b75fb59e1b5e27 | c398427dc1b73f70b94cd2f60a13e4d26c71610e | refs/heads/master | 2021-01-19T21:48:15.253451 | 2016-08-04T16:53:18 | 2016-08-04T16:53:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-24 06:39
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('submissions', '0005_auto_20160224_0629'),
]
operations = [
migrations.AlterField(
model_name='submission',
name='display_name',
field=models.CharField(max_length=32),
),
]
| [
"[email protected]"
]
| |
1623370bd8827bb2e17d37abd93f5adbe40eac9a | 82b946da326148a3c1c1f687f96c0da165bb2c15 | /sdk/python/pulumi_azure_native/synapse/v20190601preview/outputs.py | 9b9be8c3152a42585cb9ee4150575f664e3c4fa2 | [
"BSD-3-Clause",
"Apache-2.0"
]
| permissive | morrell/pulumi-azure-native | 3916e978382366607f3df0a669f24cb16293ff5e | cd3ba4b9cb08c5e1df7674c1c71695b80e443f08 | refs/heads/master | 2023-06-20T19:37:05.414924 | 2021-07-19T20:57:53 | 2021-07-19T20:57:53 | 387,815,163 | 0 | 0 | Apache-2.0 | 2021-07-20T14:18:29 | 2021-07-20T14:18:28 | null | UTF-8 | Python | false | false | 140,125 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ._enums import *
__all__ = [
'AutoPausePropertiesResponse',
'AutoScalePropertiesResponse',
'CmdkeySetupResponse',
'ComponentSetupResponse',
'CustomerManagedKeyDetailsResponse',
'DataLakeStorageAccountDetailsResponse',
'DynamicExecutorAllocationResponse',
'EncryptionDetailsResponse',
'EntityReferenceResponse',
'EnvironmentVariableSetupResponse',
'IntegrationRuntimeComputePropertiesResponse',
'IntegrationRuntimeCustomSetupScriptPropertiesResponse',
'IntegrationRuntimeDataFlowPropertiesResponse',
'IntegrationRuntimeDataProxyPropertiesResponse',
'IntegrationRuntimeSsisCatalogInfoResponse',
'IntegrationRuntimeSsisPropertiesResponse',
'IntegrationRuntimeVNetPropertiesResponse',
'LibraryInfoResponse',
'LibraryRequirementsResponse',
'LinkedIntegrationRuntimeKeyAuthorizationResponse',
'LinkedIntegrationRuntimeRbacAuthorizationResponse',
'LinkedIntegrationRuntimeResponse',
'ManagedIdentityResponse',
'ManagedIntegrationRuntimeErrorResponse',
'ManagedIntegrationRuntimeNodeResponse',
'ManagedIntegrationRuntimeOperationResultResponse',
'ManagedIntegrationRuntimeResponse',
'ManagedIntegrationRuntimeStatusResponse',
'ManagedVirtualNetworkReferenceResponse',
'ManagedVirtualNetworkSettingsResponse',
'PrivateEndpointConnectionForPrivateLinkHubBasicResponse',
'PrivateEndpointConnectionResponse',
'PrivateEndpointResponse',
'PrivateLinkServiceConnectionStateResponse',
'PurviewConfigurationResponse',
'SecureStringResponse',
'SelfHostedIntegrationRuntimeNodeResponse',
'SelfHostedIntegrationRuntimeResponse',
'SelfHostedIntegrationRuntimeStatusResponse',
'SkuResponse',
'SqlPoolVulnerabilityAssessmentRuleBaselineItemResponse',
'SsisEnvironmentReferenceResponse',
'SsisEnvironmentResponse',
'SsisFolderResponse',
'SsisPackageResponse',
'SsisParameterResponse',
'SsisProjectResponse',
'SsisVariableResponse',
'VirtualNetworkProfileResponse',
'VulnerabilityAssessmentRecurringScansPropertiesResponse',
'WorkspaceKeyDetailsResponse',
'WorkspaceRepositoryConfigurationResponse',
]
@pulumi.output_type
class AutoPausePropertiesResponse(dict):
"""
Auto-pausing properties of a Big Data pool powered by Apache Spark
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "delayInMinutes":
suggest = "delay_in_minutes"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in AutoPausePropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
AutoPausePropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
AutoPausePropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
delay_in_minutes: Optional[int] = None,
enabled: Optional[bool] = None):
"""
Auto-pausing properties of a Big Data pool powered by Apache Spark
:param int delay_in_minutes: Number of minutes of idle time before the Big Data pool is automatically paused.
:param bool enabled: Whether auto-pausing is enabled for the Big Data pool.
"""
if delay_in_minutes is not None:
pulumi.set(__self__, "delay_in_minutes", delay_in_minutes)
if enabled is not None:
pulumi.set(__self__, "enabled", enabled)
@property
@pulumi.getter(name="delayInMinutes")
def delay_in_minutes(self) -> Optional[int]:
"""
Number of minutes of idle time before the Big Data pool is automatically paused.
"""
return pulumi.get(self, "delay_in_minutes")
@property
@pulumi.getter
def enabled(self) -> Optional[bool]:
"""
Whether auto-pausing is enabled for the Big Data pool.
"""
return pulumi.get(self, "enabled")
@pulumi.output_type
class AutoScalePropertiesResponse(dict):
"""
Auto-scaling properties of a Big Data pool powered by Apache Spark
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "maxNodeCount":
suggest = "max_node_count"
elif key == "minNodeCount":
suggest = "min_node_count"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in AutoScalePropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
AutoScalePropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
AutoScalePropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
enabled: Optional[bool] = None,
max_node_count: Optional[int] = None,
min_node_count: Optional[int] = None):
"""
Auto-scaling properties of a Big Data pool powered by Apache Spark
:param bool enabled: Whether automatic scaling is enabled for the Big Data pool.
:param int max_node_count: The maximum number of nodes the Big Data pool can support.
:param int min_node_count: The minimum number of nodes the Big Data pool can support.
"""
if enabled is not None:
pulumi.set(__self__, "enabled", enabled)
if max_node_count is not None:
pulumi.set(__self__, "max_node_count", max_node_count)
if min_node_count is not None:
pulumi.set(__self__, "min_node_count", min_node_count)
@property
@pulumi.getter
def enabled(self) -> Optional[bool]:
"""
Whether automatic scaling is enabled for the Big Data pool.
"""
return pulumi.get(self, "enabled")
@property
@pulumi.getter(name="maxNodeCount")
def max_node_count(self) -> Optional[int]:
"""
The maximum number of nodes the Big Data pool can support.
"""
return pulumi.get(self, "max_node_count")
@property
@pulumi.getter(name="minNodeCount")
def min_node_count(self) -> Optional[int]:
"""
The minimum number of nodes the Big Data pool can support.
"""
return pulumi.get(self, "min_node_count")
@pulumi.output_type
class CmdkeySetupResponse(dict):
"""
The custom setup of running cmdkey commands.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "targetName":
suggest = "target_name"
elif key == "userName":
suggest = "user_name"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in CmdkeySetupResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
CmdkeySetupResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
CmdkeySetupResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
password: 'outputs.SecureStringResponse',
target_name: Any,
type: str,
user_name: Any):
"""
The custom setup of running cmdkey commands.
:param 'SecureStringResponse' password: The password of data source access.
:param Any target_name: The server name of data source access.
:param str type: The type of custom setup.
Expected value is 'CmdkeySetup'.
:param Any user_name: The user name of data source access.
"""
pulumi.set(__self__, "password", password)
pulumi.set(__self__, "target_name", target_name)
pulumi.set(__self__, "type", 'CmdkeySetup')
pulumi.set(__self__, "user_name", user_name)
@property
@pulumi.getter
def password(self) -> 'outputs.SecureStringResponse':
"""
The password of data source access.
"""
return pulumi.get(self, "password")
@property
@pulumi.getter(name="targetName")
def target_name(self) -> Any:
"""
The server name of data source access.
"""
return pulumi.get(self, "target_name")
@property
@pulumi.getter
def type(self) -> str:
"""
The type of custom setup.
Expected value is 'CmdkeySetup'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="userName")
def user_name(self) -> Any:
"""
The user name of data source access.
"""
return pulumi.get(self, "user_name")
@pulumi.output_type
class ComponentSetupResponse(dict):
"""
The custom setup of installing 3rd party components.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "componentName":
suggest = "component_name"
elif key == "licenseKey":
suggest = "license_key"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in ComponentSetupResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
ComponentSetupResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
ComponentSetupResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
component_name: str,
type: str,
license_key: Optional['outputs.SecureStringResponse'] = None):
"""
The custom setup of installing 3rd party components.
:param str component_name: The name of the 3rd party component.
:param str type: The type of custom setup.
Expected value is 'ComponentSetup'.
:param 'SecureStringResponse' license_key: The license key to activate the component.
"""
pulumi.set(__self__, "component_name", component_name)
pulumi.set(__self__, "type", 'ComponentSetup')
if license_key is not None:
pulumi.set(__self__, "license_key", license_key)
@property
@pulumi.getter(name="componentName")
def component_name(self) -> str:
"""
The name of the 3rd party component.
"""
return pulumi.get(self, "component_name")
@property
@pulumi.getter
def type(self) -> str:
"""
The type of custom setup.
Expected value is 'ComponentSetup'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="licenseKey")
def license_key(self) -> Optional['outputs.SecureStringResponse']:
"""
The license key to activate the component.
"""
return pulumi.get(self, "license_key")
@pulumi.output_type
class CustomerManagedKeyDetailsResponse(dict):
"""
Details of the customer managed key associated with the workspace
"""
def __init__(__self__, *,
status: str,
key: Optional['outputs.WorkspaceKeyDetailsResponse'] = None):
"""
Details of the customer managed key associated with the workspace
:param str status: The customer managed key status on the workspace
:param 'WorkspaceKeyDetailsResponse' key: The key object of the workspace
"""
pulumi.set(__self__, "status", status)
if key is not None:
pulumi.set(__self__, "key", key)
@property
@pulumi.getter
def status(self) -> str:
"""
The customer managed key status on the workspace
"""
return pulumi.get(self, "status")
@property
@pulumi.getter
def key(self) -> Optional['outputs.WorkspaceKeyDetailsResponse']:
"""
The key object of the workspace
"""
return pulumi.get(self, "key")
@pulumi.output_type
class DataLakeStorageAccountDetailsResponse(dict):
"""
Details of the data lake storage account associated with the workspace
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "accountUrl":
suggest = "account_url"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in DataLakeStorageAccountDetailsResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
DataLakeStorageAccountDetailsResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
DataLakeStorageAccountDetailsResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
account_url: Optional[str] = None,
filesystem: Optional[str] = None):
"""
Details of the data lake storage account associated with the workspace
:param str account_url: Account URL
:param str filesystem: Filesystem name
"""
if account_url is not None:
pulumi.set(__self__, "account_url", account_url)
if filesystem is not None:
pulumi.set(__self__, "filesystem", filesystem)
@property
@pulumi.getter(name="accountUrl")
def account_url(self) -> Optional[str]:
"""
Account URL
"""
return pulumi.get(self, "account_url")
@property
@pulumi.getter
def filesystem(self) -> Optional[str]:
"""
Filesystem name
"""
return pulumi.get(self, "filesystem")
@pulumi.output_type
class DynamicExecutorAllocationResponse(dict):
"""
Dynamic Executor Allocation Properties
"""
def __init__(__self__, *,
enabled: Optional[bool] = None):
"""
Dynamic Executor Allocation Properties
:param bool enabled: Indicates whether Dynamic Executor Allocation is enabled or not.
"""
if enabled is not None:
pulumi.set(__self__, "enabled", enabled)
@property
@pulumi.getter
def enabled(self) -> Optional[bool]:
"""
Indicates whether Dynamic Executor Allocation is enabled or not.
"""
return pulumi.get(self, "enabled")
@pulumi.output_type
class EncryptionDetailsResponse(dict):
"""
Details of the encryption associated with the workspace
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "doubleEncryptionEnabled":
suggest = "double_encryption_enabled"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in EncryptionDetailsResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
EncryptionDetailsResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
EncryptionDetailsResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
double_encryption_enabled: bool,
cmk: Optional['outputs.CustomerManagedKeyDetailsResponse'] = None):
"""
Details of the encryption associated with the workspace
:param bool double_encryption_enabled: Double Encryption enabled
:param 'CustomerManagedKeyDetailsResponse' cmk: Customer Managed Key Details
"""
pulumi.set(__self__, "double_encryption_enabled", double_encryption_enabled)
if cmk is not None:
pulumi.set(__self__, "cmk", cmk)
@property
@pulumi.getter(name="doubleEncryptionEnabled")
def double_encryption_enabled(self) -> bool:
"""
Double Encryption enabled
"""
return pulumi.get(self, "double_encryption_enabled")
@property
@pulumi.getter
def cmk(self) -> Optional['outputs.CustomerManagedKeyDetailsResponse']:
"""
Customer Managed Key Details
"""
return pulumi.get(self, "cmk")
@pulumi.output_type
class EntityReferenceResponse(dict):
"""
The entity reference.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "referenceName":
suggest = "reference_name"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in EntityReferenceResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
EntityReferenceResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
EntityReferenceResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
reference_name: Optional[str] = None,
type: Optional[str] = None):
"""
The entity reference.
:param str reference_name: The name of this referenced entity.
:param str type: The type of this referenced entity.
"""
if reference_name is not None:
pulumi.set(__self__, "reference_name", reference_name)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="referenceName")
def reference_name(self) -> Optional[str]:
"""
The name of this referenced entity.
"""
return pulumi.get(self, "reference_name")
@property
@pulumi.getter
def type(self) -> Optional[str]:
"""
The type of this referenced entity.
"""
return pulumi.get(self, "type")
@pulumi.output_type
class EnvironmentVariableSetupResponse(dict):
"""
The custom setup of setting environment variable.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "variableName":
suggest = "variable_name"
elif key == "variableValue":
suggest = "variable_value"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in EnvironmentVariableSetupResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
EnvironmentVariableSetupResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
EnvironmentVariableSetupResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
type: str,
variable_name: str,
variable_value: str):
"""
The custom setup of setting environment variable.
:param str type: The type of custom setup.
Expected value is 'EnvironmentVariableSetup'.
:param str variable_name: The name of the environment variable.
:param str variable_value: The value of the environment variable.
"""
pulumi.set(__self__, "type", 'EnvironmentVariableSetup')
pulumi.set(__self__, "variable_name", variable_name)
pulumi.set(__self__, "variable_value", variable_value)
@property
@pulumi.getter
def type(self) -> str:
"""
The type of custom setup.
Expected value is 'EnvironmentVariableSetup'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="variableName")
def variable_name(self) -> str:
"""
The name of the environment variable.
"""
return pulumi.get(self, "variable_name")
@property
@pulumi.getter(name="variableValue")
def variable_value(self) -> str:
"""
The value of the environment variable.
"""
return pulumi.get(self, "variable_value")
@pulumi.output_type
class IntegrationRuntimeComputePropertiesResponse(dict):
"""
The compute resource properties for managed integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "dataFlowProperties":
suggest = "data_flow_properties"
elif key == "maxParallelExecutionsPerNode":
suggest = "max_parallel_executions_per_node"
elif key == "nodeSize":
suggest = "node_size"
elif key == "numberOfNodes":
suggest = "number_of_nodes"
elif key == "vNetProperties":
suggest = "v_net_properties"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeComputePropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeComputePropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeComputePropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
data_flow_properties: Optional['outputs.IntegrationRuntimeDataFlowPropertiesResponse'] = None,
location: Optional[str] = None,
max_parallel_executions_per_node: Optional[int] = None,
node_size: Optional[str] = None,
number_of_nodes: Optional[int] = None,
v_net_properties: Optional['outputs.IntegrationRuntimeVNetPropertiesResponse'] = None):
"""
The compute resource properties for managed integration runtime.
:param 'IntegrationRuntimeDataFlowPropertiesResponse' data_flow_properties: Data flow properties for managed integration runtime.
:param str location: The location for managed integration runtime. The supported regions could be found on https://docs.microsoft.com/en-us/azure/data-factory/data-factory-data-movement-activities
:param int max_parallel_executions_per_node: Maximum parallel executions count per node for managed integration runtime.
:param str node_size: The node size requirement to managed integration runtime.
:param int number_of_nodes: The required number of nodes for managed integration runtime.
:param 'IntegrationRuntimeVNetPropertiesResponse' v_net_properties: VNet properties for managed integration runtime.
"""
if data_flow_properties is not None:
pulumi.set(__self__, "data_flow_properties", data_flow_properties)
if location is not None:
pulumi.set(__self__, "location", location)
if max_parallel_executions_per_node is not None:
pulumi.set(__self__, "max_parallel_executions_per_node", max_parallel_executions_per_node)
if node_size is not None:
pulumi.set(__self__, "node_size", node_size)
if number_of_nodes is not None:
pulumi.set(__self__, "number_of_nodes", number_of_nodes)
if v_net_properties is not None:
pulumi.set(__self__, "v_net_properties", v_net_properties)
@property
@pulumi.getter(name="dataFlowProperties")
def data_flow_properties(self) -> Optional['outputs.IntegrationRuntimeDataFlowPropertiesResponse']:
"""
Data flow properties for managed integration runtime.
"""
return pulumi.get(self, "data_flow_properties")
@property
@pulumi.getter
def location(self) -> Optional[str]:
"""
The location for managed integration runtime. The supported regions could be found on https://docs.microsoft.com/en-us/azure/data-factory/data-factory-data-movement-activities
"""
return pulumi.get(self, "location")
@property
@pulumi.getter(name="maxParallelExecutionsPerNode")
def max_parallel_executions_per_node(self) -> Optional[int]:
"""
Maximum parallel executions count per node for managed integration runtime.
"""
return pulumi.get(self, "max_parallel_executions_per_node")
@property
@pulumi.getter(name="nodeSize")
def node_size(self) -> Optional[str]:
"""
The node size requirement to managed integration runtime.
"""
return pulumi.get(self, "node_size")
@property
@pulumi.getter(name="numberOfNodes")
def number_of_nodes(self) -> Optional[int]:
"""
The required number of nodes for managed integration runtime.
"""
return pulumi.get(self, "number_of_nodes")
@property
@pulumi.getter(name="vNetProperties")
def v_net_properties(self) -> Optional['outputs.IntegrationRuntimeVNetPropertiesResponse']:
"""
VNet properties for managed integration runtime.
"""
return pulumi.get(self, "v_net_properties")
@pulumi.output_type
class IntegrationRuntimeCustomSetupScriptPropertiesResponse(dict):
"""
Custom setup script properties for a managed dedicated integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "blobContainerUri":
suggest = "blob_container_uri"
elif key == "sasToken":
suggest = "sas_token"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeCustomSetupScriptPropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeCustomSetupScriptPropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeCustomSetupScriptPropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
blob_container_uri: Optional[str] = None,
sas_token: Optional['outputs.SecureStringResponse'] = None):
"""
Custom setup script properties for a managed dedicated integration runtime.
:param str blob_container_uri: The URI of the Azure blob container that contains the custom setup script.
:param 'SecureStringResponse' sas_token: The SAS token of the Azure blob container.
"""
if blob_container_uri is not None:
pulumi.set(__self__, "blob_container_uri", blob_container_uri)
if sas_token is not None:
pulumi.set(__self__, "sas_token", sas_token)
@property
@pulumi.getter(name="blobContainerUri")
def blob_container_uri(self) -> Optional[str]:
"""
The URI of the Azure blob container that contains the custom setup script.
"""
return pulumi.get(self, "blob_container_uri")
@property
@pulumi.getter(name="sasToken")
def sas_token(self) -> Optional['outputs.SecureStringResponse']:
"""
The SAS token of the Azure blob container.
"""
return pulumi.get(self, "sas_token")
@pulumi.output_type
class IntegrationRuntimeDataFlowPropertiesResponse(dict):
"""
Data flow properties for managed integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "computeType":
suggest = "compute_type"
elif key == "coreCount":
suggest = "core_count"
elif key == "timeToLive":
suggest = "time_to_live"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeDataFlowPropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeDataFlowPropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeDataFlowPropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
compute_type: Optional[str] = None,
core_count: Optional[int] = None,
time_to_live: Optional[int] = None):
"""
Data flow properties for managed integration runtime.
:param str compute_type: Compute type of the cluster which will execute data flow job.
:param int core_count: Core count of the cluster which will execute data flow job. Supported values are: 8, 16, 32, 48, 80, 144 and 272.
:param int time_to_live: Time to live (in minutes) setting of the cluster which will execute data flow job.
"""
if compute_type is not None:
pulumi.set(__self__, "compute_type", compute_type)
if core_count is not None:
pulumi.set(__self__, "core_count", core_count)
if time_to_live is not None:
pulumi.set(__self__, "time_to_live", time_to_live)
@property
@pulumi.getter(name="computeType")
def compute_type(self) -> Optional[str]:
"""
Compute type of the cluster which will execute data flow job.
"""
return pulumi.get(self, "compute_type")
@property
@pulumi.getter(name="coreCount")
def core_count(self) -> Optional[int]:
"""
Core count of the cluster which will execute data flow job. Supported values are: 8, 16, 32, 48, 80, 144 and 272.
"""
return pulumi.get(self, "core_count")
@property
@pulumi.getter(name="timeToLive")
def time_to_live(self) -> Optional[int]:
"""
Time to live (in minutes) setting of the cluster which will execute data flow job.
"""
return pulumi.get(self, "time_to_live")
@pulumi.output_type
class IntegrationRuntimeDataProxyPropertiesResponse(dict):
"""
Data proxy properties for a managed dedicated integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "connectVia":
suggest = "connect_via"
elif key == "stagingLinkedService":
suggest = "staging_linked_service"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeDataProxyPropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeDataProxyPropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeDataProxyPropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
connect_via: Optional['outputs.EntityReferenceResponse'] = None,
path: Optional[str] = None,
staging_linked_service: Optional['outputs.EntityReferenceResponse'] = None):
"""
Data proxy properties for a managed dedicated integration runtime.
:param 'EntityReferenceResponse' connect_via: The self-hosted integration runtime reference.
:param str path: The path to contain the staged data in the Blob storage.
:param 'EntityReferenceResponse' staging_linked_service: The staging linked service reference.
"""
if connect_via is not None:
pulumi.set(__self__, "connect_via", connect_via)
if path is not None:
pulumi.set(__self__, "path", path)
if staging_linked_service is not None:
pulumi.set(__self__, "staging_linked_service", staging_linked_service)
@property
@pulumi.getter(name="connectVia")
def connect_via(self) -> Optional['outputs.EntityReferenceResponse']:
"""
The self-hosted integration runtime reference.
"""
return pulumi.get(self, "connect_via")
@property
@pulumi.getter
def path(self) -> Optional[str]:
"""
The path to contain the staged data in the Blob storage.
"""
return pulumi.get(self, "path")
@property
@pulumi.getter(name="stagingLinkedService")
def staging_linked_service(self) -> Optional['outputs.EntityReferenceResponse']:
"""
The staging linked service reference.
"""
return pulumi.get(self, "staging_linked_service")
@pulumi.output_type
class IntegrationRuntimeSsisCatalogInfoResponse(dict):
"""
Catalog information for managed dedicated integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "catalogAdminPassword":
suggest = "catalog_admin_password"
elif key == "catalogAdminUserName":
suggest = "catalog_admin_user_name"
elif key == "catalogPricingTier":
suggest = "catalog_pricing_tier"
elif key == "catalogServerEndpoint":
suggest = "catalog_server_endpoint"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeSsisCatalogInfoResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeSsisCatalogInfoResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeSsisCatalogInfoResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
catalog_admin_password: Optional['outputs.SecureStringResponse'] = None,
catalog_admin_user_name: Optional[str] = None,
catalog_pricing_tier: Optional[str] = None,
catalog_server_endpoint: Optional[str] = None):
"""
Catalog information for managed dedicated integration runtime.
:param 'SecureStringResponse' catalog_admin_password: The password of the administrator user account of the catalog database.
:param str catalog_admin_user_name: The administrator user name of catalog database.
:param str catalog_pricing_tier: The pricing tier for the catalog database. The valid values could be found in https://azure.microsoft.com/en-us/pricing/details/sql-database/
:param str catalog_server_endpoint: The catalog database server URL.
"""
if catalog_admin_password is not None:
pulumi.set(__self__, "catalog_admin_password", catalog_admin_password)
if catalog_admin_user_name is not None:
pulumi.set(__self__, "catalog_admin_user_name", catalog_admin_user_name)
if catalog_pricing_tier is not None:
pulumi.set(__self__, "catalog_pricing_tier", catalog_pricing_tier)
if catalog_server_endpoint is not None:
pulumi.set(__self__, "catalog_server_endpoint", catalog_server_endpoint)
@property
@pulumi.getter(name="catalogAdminPassword")
def catalog_admin_password(self) -> Optional['outputs.SecureStringResponse']:
"""
The password of the administrator user account of the catalog database.
"""
return pulumi.get(self, "catalog_admin_password")
@property
@pulumi.getter(name="catalogAdminUserName")
def catalog_admin_user_name(self) -> Optional[str]:
"""
The administrator user name of catalog database.
"""
return pulumi.get(self, "catalog_admin_user_name")
@property
@pulumi.getter(name="catalogPricingTier")
def catalog_pricing_tier(self) -> Optional[str]:
"""
The pricing tier for the catalog database. The valid values could be found in https://azure.microsoft.com/en-us/pricing/details/sql-database/
"""
return pulumi.get(self, "catalog_pricing_tier")
@property
@pulumi.getter(name="catalogServerEndpoint")
def catalog_server_endpoint(self) -> Optional[str]:
"""
The catalog database server URL.
"""
return pulumi.get(self, "catalog_server_endpoint")
@pulumi.output_type
class IntegrationRuntimeSsisPropertiesResponse(dict):
"""
SSIS properties for managed integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "catalogInfo":
suggest = "catalog_info"
elif key == "customSetupScriptProperties":
suggest = "custom_setup_script_properties"
elif key == "dataProxyProperties":
suggest = "data_proxy_properties"
elif key == "expressCustomSetupProperties":
suggest = "express_custom_setup_properties"
elif key == "licenseType":
suggest = "license_type"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeSsisPropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeSsisPropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeSsisPropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
catalog_info: Optional['outputs.IntegrationRuntimeSsisCatalogInfoResponse'] = None,
custom_setup_script_properties: Optional['outputs.IntegrationRuntimeCustomSetupScriptPropertiesResponse'] = None,
data_proxy_properties: Optional['outputs.IntegrationRuntimeDataProxyPropertiesResponse'] = None,
edition: Optional[str] = None,
express_custom_setup_properties: Optional[Sequence[Any]] = None,
license_type: Optional[str] = None):
"""
SSIS properties for managed integration runtime.
:param 'IntegrationRuntimeSsisCatalogInfoResponse' catalog_info: Catalog information for managed dedicated integration runtime.
:param 'IntegrationRuntimeCustomSetupScriptPropertiesResponse' custom_setup_script_properties: Custom setup script properties for a managed dedicated integration runtime.
:param 'IntegrationRuntimeDataProxyPropertiesResponse' data_proxy_properties: Data proxy properties for a managed dedicated integration runtime.
:param str edition: The edition for the SSIS Integration Runtime
:param Sequence[Union['CmdkeySetupResponse', 'ComponentSetupResponse', 'EnvironmentVariableSetupResponse']] express_custom_setup_properties: Custom setup without script properties for a SSIS integration runtime.
:param str license_type: License type for bringing your own license scenario.
"""
if catalog_info is not None:
pulumi.set(__self__, "catalog_info", catalog_info)
if custom_setup_script_properties is not None:
pulumi.set(__self__, "custom_setup_script_properties", custom_setup_script_properties)
if data_proxy_properties is not None:
pulumi.set(__self__, "data_proxy_properties", data_proxy_properties)
if edition is not None:
pulumi.set(__self__, "edition", edition)
if express_custom_setup_properties is not None:
pulumi.set(__self__, "express_custom_setup_properties", express_custom_setup_properties)
if license_type is not None:
pulumi.set(__self__, "license_type", license_type)
@property
@pulumi.getter(name="catalogInfo")
def catalog_info(self) -> Optional['outputs.IntegrationRuntimeSsisCatalogInfoResponse']:
"""
Catalog information for managed dedicated integration runtime.
"""
return pulumi.get(self, "catalog_info")
@property
@pulumi.getter(name="customSetupScriptProperties")
def custom_setup_script_properties(self) -> Optional['outputs.IntegrationRuntimeCustomSetupScriptPropertiesResponse']:
"""
Custom setup script properties for a managed dedicated integration runtime.
"""
return pulumi.get(self, "custom_setup_script_properties")
@property
@pulumi.getter(name="dataProxyProperties")
def data_proxy_properties(self) -> Optional['outputs.IntegrationRuntimeDataProxyPropertiesResponse']:
"""
Data proxy properties for a managed dedicated integration runtime.
"""
return pulumi.get(self, "data_proxy_properties")
@property
@pulumi.getter
def edition(self) -> Optional[str]:
"""
The edition for the SSIS Integration Runtime
"""
return pulumi.get(self, "edition")
@property
@pulumi.getter(name="expressCustomSetupProperties")
def express_custom_setup_properties(self) -> Optional[Sequence[Any]]:
"""
Custom setup without script properties for a SSIS integration runtime.
"""
return pulumi.get(self, "express_custom_setup_properties")
@property
@pulumi.getter(name="licenseType")
def license_type(self) -> Optional[str]:
"""
License type for bringing your own license scenario.
"""
return pulumi.get(self, "license_type")
@pulumi.output_type
class IntegrationRuntimeVNetPropertiesResponse(dict):
"""
VNet properties for managed integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "publicIPs":
suggest = "public_ips"
elif key == "vNetId":
suggest = "v_net_id"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in IntegrationRuntimeVNetPropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
IntegrationRuntimeVNetPropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
IntegrationRuntimeVNetPropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
public_ips: Optional[Sequence[str]] = None,
subnet: Optional[str] = None,
v_net_id: Optional[str] = None):
"""
VNet properties for managed integration runtime.
:param Sequence[str] public_ips: Resource IDs of the public IP addresses that this integration runtime will use.
:param str subnet: The name of the subnet this integration runtime will join.
:param str v_net_id: The ID of the VNet that this integration runtime will join.
"""
if public_ips is not None:
pulumi.set(__self__, "public_ips", public_ips)
if subnet is not None:
pulumi.set(__self__, "subnet", subnet)
if v_net_id is not None:
pulumi.set(__self__, "v_net_id", v_net_id)
@property
@pulumi.getter(name="publicIPs")
def public_ips(self) -> Optional[Sequence[str]]:
"""
Resource IDs of the public IP addresses that this integration runtime will use.
"""
return pulumi.get(self, "public_ips")
@property
@pulumi.getter
def subnet(self) -> Optional[str]:
"""
The name of the subnet this integration runtime will join.
"""
return pulumi.get(self, "subnet")
@property
@pulumi.getter(name="vNetId")
def v_net_id(self) -> Optional[str]:
"""
The ID of the VNet that this integration runtime will join.
"""
return pulumi.get(self, "v_net_id")
@pulumi.output_type
class LibraryInfoResponse(dict):
"""
Library/package information of a Big Data pool powered by Apache Spark
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "creatorId":
suggest = "creator_id"
elif key == "provisioningStatus":
suggest = "provisioning_status"
elif key == "uploadedTimestamp":
suggest = "uploaded_timestamp"
elif key == "containerName":
suggest = "container_name"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in LibraryInfoResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
LibraryInfoResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
LibraryInfoResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
creator_id: str,
provisioning_status: str,
uploaded_timestamp: str,
container_name: Optional[str] = None,
name: Optional[str] = None,
path: Optional[str] = None,
type: Optional[str] = None):
"""
Library/package information of a Big Data pool powered by Apache Spark
:param str creator_id: Creator Id of the library/package.
:param str provisioning_status: Provisioning status of the library/package.
:param str uploaded_timestamp: The last update time of the library.
:param str container_name: Storage blob container name.
:param str name: Name of the library.
:param str path: Storage blob path of library.
:param str type: Type of the library.
"""
pulumi.set(__self__, "creator_id", creator_id)
pulumi.set(__self__, "provisioning_status", provisioning_status)
pulumi.set(__self__, "uploaded_timestamp", uploaded_timestamp)
if container_name is not None:
pulumi.set(__self__, "container_name", container_name)
if name is not None:
pulumi.set(__self__, "name", name)
if path is not None:
pulumi.set(__self__, "path", path)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="creatorId")
def creator_id(self) -> str:
"""
Creator Id of the library/package.
"""
return pulumi.get(self, "creator_id")
@property
@pulumi.getter(name="provisioningStatus")
def provisioning_status(self) -> str:
"""
Provisioning status of the library/package.
"""
return pulumi.get(self, "provisioning_status")
@property
@pulumi.getter(name="uploadedTimestamp")
def uploaded_timestamp(self) -> str:
"""
The last update time of the library.
"""
return pulumi.get(self, "uploaded_timestamp")
@property
@pulumi.getter(name="containerName")
def container_name(self) -> Optional[str]:
"""
Storage blob container name.
"""
return pulumi.get(self, "container_name")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Name of the library.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def path(self) -> Optional[str]:
"""
Storage blob path of library.
"""
return pulumi.get(self, "path")
@property
@pulumi.getter
def type(self) -> Optional[str]:
"""
Type of the library.
"""
return pulumi.get(self, "type")
@pulumi.output_type
class LibraryRequirementsResponse(dict):
"""
Library requirements for a Big Data pool powered by Apache Spark
"""
def __init__(__self__, *,
time: str,
content: Optional[str] = None,
filename: Optional[str] = None):
"""
Library requirements for a Big Data pool powered by Apache Spark
:param str time: The last update time of the library requirements file.
:param str content: The library requirements.
:param str filename: The filename of the library requirements file.
"""
pulumi.set(__self__, "time", time)
if content is not None:
pulumi.set(__self__, "content", content)
if filename is not None:
pulumi.set(__self__, "filename", filename)
@property
@pulumi.getter
def time(self) -> str:
"""
The last update time of the library requirements file.
"""
return pulumi.get(self, "time")
@property
@pulumi.getter
def content(self) -> Optional[str]:
"""
The library requirements.
"""
return pulumi.get(self, "content")
@property
@pulumi.getter
def filename(self) -> Optional[str]:
"""
The filename of the library requirements file.
"""
return pulumi.get(self, "filename")
@pulumi.output_type
class LinkedIntegrationRuntimeKeyAuthorizationResponse(dict):
"""
The key authorization type integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "authorizationType":
suggest = "authorization_type"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in LinkedIntegrationRuntimeKeyAuthorizationResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
LinkedIntegrationRuntimeKeyAuthorizationResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
LinkedIntegrationRuntimeKeyAuthorizationResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
authorization_type: str,
key: 'outputs.SecureStringResponse'):
"""
The key authorization type integration runtime.
:param str authorization_type: The authorization type for integration runtime sharing.
Expected value is 'Key'.
:param 'SecureStringResponse' key: The key used for authorization.
"""
pulumi.set(__self__, "authorization_type", 'Key')
pulumi.set(__self__, "key", key)
@property
@pulumi.getter(name="authorizationType")
def authorization_type(self) -> str:
"""
The authorization type for integration runtime sharing.
Expected value is 'Key'.
"""
return pulumi.get(self, "authorization_type")
@property
@pulumi.getter
def key(self) -> 'outputs.SecureStringResponse':
"""
The key used for authorization.
"""
return pulumi.get(self, "key")
@pulumi.output_type
class LinkedIntegrationRuntimeRbacAuthorizationResponse(dict):
"""
The role based access control (RBAC) authorization type integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "authorizationType":
suggest = "authorization_type"
elif key == "resourceId":
suggest = "resource_id"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in LinkedIntegrationRuntimeRbacAuthorizationResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
LinkedIntegrationRuntimeRbacAuthorizationResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
LinkedIntegrationRuntimeRbacAuthorizationResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
authorization_type: str,
resource_id: str):
"""
The role based access control (RBAC) authorization type integration runtime.
:param str authorization_type: The authorization type for integration runtime sharing.
Expected value is 'RBAC'.
:param str resource_id: The resource identifier of the integration runtime to be shared.
"""
pulumi.set(__self__, "authorization_type", 'RBAC')
pulumi.set(__self__, "resource_id", resource_id)
@property
@pulumi.getter(name="authorizationType")
def authorization_type(self) -> str:
"""
The authorization type for integration runtime sharing.
Expected value is 'RBAC'.
"""
return pulumi.get(self, "authorization_type")
@property
@pulumi.getter(name="resourceId")
def resource_id(self) -> str:
"""
The resource identifier of the integration runtime to be shared.
"""
return pulumi.get(self, "resource_id")
@pulumi.output_type
class LinkedIntegrationRuntimeResponse(dict):
"""
The linked integration runtime information.
"""
def __init__(__self__, *,
create_time: str,
data_factory_location: str,
data_factory_name: str,
name: str,
subscription_id: str):
"""
The linked integration runtime information.
:param str create_time: The creating time of the linked integration runtime.
:param str data_factory_location: The location of the workspace for which the linked integration runtime belong to.
:param str data_factory_name: The name of the workspace for which the linked integration runtime belong to.
:param str name: The name of the linked integration runtime.
:param str subscription_id: The subscription ID for which the linked integration runtime belong to.
"""
pulumi.set(__self__, "create_time", create_time)
pulumi.set(__self__, "data_factory_location", data_factory_location)
pulumi.set(__self__, "data_factory_name", data_factory_name)
pulumi.set(__self__, "name", name)
pulumi.set(__self__, "subscription_id", subscription_id)
@property
@pulumi.getter(name="createTime")
def create_time(self) -> str:
"""
The creating time of the linked integration runtime.
"""
return pulumi.get(self, "create_time")
@property
@pulumi.getter(name="dataFactoryLocation")
def data_factory_location(self) -> str:
"""
The location of the workspace for which the linked integration runtime belong to.
"""
return pulumi.get(self, "data_factory_location")
@property
@pulumi.getter(name="dataFactoryName")
def data_factory_name(self) -> str:
"""
The name of the workspace for which the linked integration runtime belong to.
"""
return pulumi.get(self, "data_factory_name")
@property
@pulumi.getter
def name(self) -> str:
"""
The name of the linked integration runtime.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="subscriptionId")
def subscription_id(self) -> str:
"""
The subscription ID for which the linked integration runtime belong to.
"""
return pulumi.get(self, "subscription_id")
@pulumi.output_type
class ManagedIdentityResponse(dict):
"""
The workspace managed identity
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "principalId":
suggest = "principal_id"
elif key == "tenantId":
suggest = "tenant_id"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in ManagedIdentityResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
ManagedIdentityResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
ManagedIdentityResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
principal_id: str,
tenant_id: str,
type: Optional[str] = None):
"""
The workspace managed identity
:param str principal_id: The principal ID of the workspace managed identity
:param str tenant_id: The tenant ID of the workspace managed identity
:param str type: The type of managed identity for the workspace
"""
pulumi.set(__self__, "principal_id", principal_id)
pulumi.set(__self__, "tenant_id", tenant_id)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="principalId")
def principal_id(self) -> str:
"""
The principal ID of the workspace managed identity
"""
return pulumi.get(self, "principal_id")
@property
@pulumi.getter(name="tenantId")
def tenant_id(self) -> str:
"""
The tenant ID of the workspace managed identity
"""
return pulumi.get(self, "tenant_id")
@property
@pulumi.getter
def type(self) -> Optional[str]:
"""
The type of managed identity for the workspace
"""
return pulumi.get(self, "type")
@pulumi.output_type
class ManagedIntegrationRuntimeErrorResponse(dict):
"""
Error definition for managed integration runtime.
"""
def __init__(__self__, *,
code: str,
message: str,
parameters: Sequence[str],
time: str):
"""
Error definition for managed integration runtime.
:param str code: Error code.
:param str message: Error message.
:param Sequence[str] parameters: Managed integration runtime error parameters.
:param str time: The time when the error occurred.
"""
pulumi.set(__self__, "code", code)
pulumi.set(__self__, "message", message)
pulumi.set(__self__, "parameters", parameters)
pulumi.set(__self__, "time", time)
@property
@pulumi.getter
def code(self) -> str:
"""
Error code.
"""
return pulumi.get(self, "code")
@property
@pulumi.getter
def message(self) -> str:
"""
Error message.
"""
return pulumi.get(self, "message")
@property
@pulumi.getter
def parameters(self) -> Sequence[str]:
"""
Managed integration runtime error parameters.
"""
return pulumi.get(self, "parameters")
@property
@pulumi.getter
def time(self) -> str:
"""
The time when the error occurred.
"""
return pulumi.get(self, "time")
@pulumi.output_type
class ManagedIntegrationRuntimeNodeResponse(dict):
"""
Properties of integration runtime node.
"""
def __init__(__self__, *,
node_id: str,
status: str,
errors: Optional[Sequence['outputs.ManagedIntegrationRuntimeErrorResponse']] = None):
"""
Properties of integration runtime node.
:param str node_id: The managed integration runtime node id.
:param str status: The managed integration runtime node status.
:param Sequence['ManagedIntegrationRuntimeErrorResponse'] errors: The errors that occurred on this integration runtime node.
"""
pulumi.set(__self__, "node_id", node_id)
pulumi.set(__self__, "status", status)
if errors is not None:
pulumi.set(__self__, "errors", errors)
@property
@pulumi.getter(name="nodeId")
def node_id(self) -> str:
"""
The managed integration runtime node id.
"""
return pulumi.get(self, "node_id")
@property
@pulumi.getter
def status(self) -> str:
"""
The managed integration runtime node status.
"""
return pulumi.get(self, "status")
@property
@pulumi.getter
def errors(self) -> Optional[Sequence['outputs.ManagedIntegrationRuntimeErrorResponse']]:
"""
The errors that occurred on this integration runtime node.
"""
return pulumi.get(self, "errors")
@pulumi.output_type
class ManagedIntegrationRuntimeOperationResultResponse(dict):
"""
Properties of managed integration runtime operation result.
"""
def __init__(__self__, *,
activity_id: str,
error_code: str,
parameters: Sequence[str],
result: str,
start_time: str,
type: str):
"""
Properties of managed integration runtime operation result.
:param str activity_id: The activity id for the operation request.
:param str error_code: The error code.
:param Sequence[str] parameters: Managed integration runtime error parameters.
:param str result: The operation result.
:param str start_time: The start time of the operation.
:param str type: The operation type. Could be start or stop.
"""
pulumi.set(__self__, "activity_id", activity_id)
pulumi.set(__self__, "error_code", error_code)
pulumi.set(__self__, "parameters", parameters)
pulumi.set(__self__, "result", result)
pulumi.set(__self__, "start_time", start_time)
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="activityId")
def activity_id(self) -> str:
"""
The activity id for the operation request.
"""
return pulumi.get(self, "activity_id")
@property
@pulumi.getter(name="errorCode")
def error_code(self) -> str:
"""
The error code.
"""
return pulumi.get(self, "error_code")
@property
@pulumi.getter
def parameters(self) -> Sequence[str]:
"""
Managed integration runtime error parameters.
"""
return pulumi.get(self, "parameters")
@property
@pulumi.getter
def result(self) -> str:
"""
The operation result.
"""
return pulumi.get(self, "result")
@property
@pulumi.getter(name="startTime")
def start_time(self) -> str:
"""
The start time of the operation.
"""
return pulumi.get(self, "start_time")
@property
@pulumi.getter
def type(self) -> str:
"""
The operation type. Could be start or stop.
"""
return pulumi.get(self, "type")
@pulumi.output_type
class ManagedIntegrationRuntimeResponse(dict):
"""
Managed integration runtime, including managed elastic and managed dedicated integration runtimes.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "computeProperties":
suggest = "compute_properties"
elif key == "managedVirtualNetwork":
suggest = "managed_virtual_network"
elif key == "ssisProperties":
suggest = "ssis_properties"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in ManagedIntegrationRuntimeResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
ManagedIntegrationRuntimeResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
ManagedIntegrationRuntimeResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
state: str,
type: str,
compute_properties: Optional['outputs.IntegrationRuntimeComputePropertiesResponse'] = None,
description: Optional[str] = None,
managed_virtual_network: Optional['outputs.ManagedVirtualNetworkReferenceResponse'] = None,
ssis_properties: Optional['outputs.IntegrationRuntimeSsisPropertiesResponse'] = None):
"""
Managed integration runtime, including managed elastic and managed dedicated integration runtimes.
:param str state: Integration runtime state, only valid for managed dedicated integration runtime.
:param str type: The type of integration runtime.
Expected value is 'Managed'.
:param 'IntegrationRuntimeComputePropertiesResponse' compute_properties: The compute resource for managed integration runtime.
:param str description: Integration runtime description.
:param 'ManagedVirtualNetworkReferenceResponse' managed_virtual_network: Managed Virtual Network reference.
:param 'IntegrationRuntimeSsisPropertiesResponse' ssis_properties: SSIS properties for managed integration runtime.
"""
pulumi.set(__self__, "state", state)
pulumi.set(__self__, "type", 'Managed')
if compute_properties is not None:
pulumi.set(__self__, "compute_properties", compute_properties)
if description is not None:
pulumi.set(__self__, "description", description)
if managed_virtual_network is not None:
pulumi.set(__self__, "managed_virtual_network", managed_virtual_network)
if ssis_properties is not None:
pulumi.set(__self__, "ssis_properties", ssis_properties)
@property
@pulumi.getter
def state(self) -> str:
"""
Integration runtime state, only valid for managed dedicated integration runtime.
"""
return pulumi.get(self, "state")
@property
@pulumi.getter
def type(self) -> str:
"""
The type of integration runtime.
Expected value is 'Managed'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="computeProperties")
def compute_properties(self) -> Optional['outputs.IntegrationRuntimeComputePropertiesResponse']:
"""
The compute resource for managed integration runtime.
"""
return pulumi.get(self, "compute_properties")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Integration runtime description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="managedVirtualNetwork")
def managed_virtual_network(self) -> Optional['outputs.ManagedVirtualNetworkReferenceResponse']:
"""
Managed Virtual Network reference.
"""
return pulumi.get(self, "managed_virtual_network")
@property
@pulumi.getter(name="ssisProperties")
def ssis_properties(self) -> Optional['outputs.IntegrationRuntimeSsisPropertiesResponse']:
"""
SSIS properties for managed integration runtime.
"""
return pulumi.get(self, "ssis_properties")
@pulumi.output_type
class ManagedIntegrationRuntimeStatusResponse(dict):
"""
Managed integration runtime status.
"""
def __init__(__self__, *,
create_time: str,
data_factory_name: str,
last_operation: 'outputs.ManagedIntegrationRuntimeOperationResultResponse',
nodes: Sequence['outputs.ManagedIntegrationRuntimeNodeResponse'],
other_errors: Sequence['outputs.ManagedIntegrationRuntimeErrorResponse'],
state: str,
type: str):
"""
Managed integration runtime status.
:param str create_time: The time at which the integration runtime was created, in ISO8601 format.
:param str data_factory_name: The workspace name which the integration runtime belong to.
:param 'ManagedIntegrationRuntimeOperationResultResponse' last_operation: The last operation result that occurred on this integration runtime.
:param Sequence['ManagedIntegrationRuntimeNodeResponse'] nodes: The list of nodes for managed integration runtime.
:param Sequence['ManagedIntegrationRuntimeErrorResponse'] other_errors: The errors that occurred on this integration runtime.
:param str state: The state of integration runtime.
:param str type: The type of integration runtime.
Expected value is 'Managed'.
"""
pulumi.set(__self__, "create_time", create_time)
pulumi.set(__self__, "data_factory_name", data_factory_name)
pulumi.set(__self__, "last_operation", last_operation)
pulumi.set(__self__, "nodes", nodes)
pulumi.set(__self__, "other_errors", other_errors)
pulumi.set(__self__, "state", state)
pulumi.set(__self__, "type", 'Managed')
@property
@pulumi.getter(name="createTime")
def create_time(self) -> str:
"""
The time at which the integration runtime was created, in ISO8601 format.
"""
return pulumi.get(self, "create_time")
@property
@pulumi.getter(name="dataFactoryName")
def data_factory_name(self) -> str:
"""
The workspace name which the integration runtime belong to.
"""
return pulumi.get(self, "data_factory_name")
@property
@pulumi.getter(name="lastOperation")
def last_operation(self) -> 'outputs.ManagedIntegrationRuntimeOperationResultResponse':
"""
The last operation result that occurred on this integration runtime.
"""
return pulumi.get(self, "last_operation")
@property
@pulumi.getter
def nodes(self) -> Sequence['outputs.ManagedIntegrationRuntimeNodeResponse']:
"""
The list of nodes for managed integration runtime.
"""
return pulumi.get(self, "nodes")
@property
@pulumi.getter(name="otherErrors")
def other_errors(self) -> Sequence['outputs.ManagedIntegrationRuntimeErrorResponse']:
"""
The errors that occurred on this integration runtime.
"""
return pulumi.get(self, "other_errors")
@property
@pulumi.getter
def state(self) -> str:
"""
The state of integration runtime.
"""
return pulumi.get(self, "state")
@property
@pulumi.getter
def type(self) -> str:
"""
The type of integration runtime.
Expected value is 'Managed'.
"""
return pulumi.get(self, "type")
@pulumi.output_type
class ManagedVirtualNetworkReferenceResponse(dict):
"""
Managed Virtual Network reference type.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "referenceName":
suggest = "reference_name"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in ManagedVirtualNetworkReferenceResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
ManagedVirtualNetworkReferenceResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
ManagedVirtualNetworkReferenceResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
reference_name: str,
type: str):
"""
Managed Virtual Network reference type.
:param str reference_name: Reference ManagedVirtualNetwork name.
:param str type: Managed Virtual Network reference type.
"""
pulumi.set(__self__, "reference_name", reference_name)
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="referenceName")
def reference_name(self) -> str:
"""
Reference ManagedVirtualNetwork name.
"""
return pulumi.get(self, "reference_name")
@property
@pulumi.getter
def type(self) -> str:
"""
Managed Virtual Network reference type.
"""
return pulumi.get(self, "type")
@pulumi.output_type
class ManagedVirtualNetworkSettingsResponse(dict):
"""
Managed Virtual Network Settings
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "allowedAadTenantIdsForLinking":
suggest = "allowed_aad_tenant_ids_for_linking"
elif key == "linkedAccessCheckOnTargetResource":
suggest = "linked_access_check_on_target_resource"
elif key == "preventDataExfiltration":
suggest = "prevent_data_exfiltration"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in ManagedVirtualNetworkSettingsResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
ManagedVirtualNetworkSettingsResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
ManagedVirtualNetworkSettingsResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
allowed_aad_tenant_ids_for_linking: Optional[Sequence[str]] = None,
linked_access_check_on_target_resource: Optional[bool] = None,
prevent_data_exfiltration: Optional[bool] = None):
"""
Managed Virtual Network Settings
:param Sequence[str] allowed_aad_tenant_ids_for_linking: Allowed Aad Tenant Ids For Linking
:param bool linked_access_check_on_target_resource: Linked Access Check On Target Resource
:param bool prevent_data_exfiltration: Prevent Data Exfiltration
"""
if allowed_aad_tenant_ids_for_linking is not None:
pulumi.set(__self__, "allowed_aad_tenant_ids_for_linking", allowed_aad_tenant_ids_for_linking)
if linked_access_check_on_target_resource is not None:
pulumi.set(__self__, "linked_access_check_on_target_resource", linked_access_check_on_target_resource)
if prevent_data_exfiltration is not None:
pulumi.set(__self__, "prevent_data_exfiltration", prevent_data_exfiltration)
@property
@pulumi.getter(name="allowedAadTenantIdsForLinking")
def allowed_aad_tenant_ids_for_linking(self) -> Optional[Sequence[str]]:
"""
Allowed Aad Tenant Ids For Linking
"""
return pulumi.get(self, "allowed_aad_tenant_ids_for_linking")
@property
@pulumi.getter(name="linkedAccessCheckOnTargetResource")
def linked_access_check_on_target_resource(self) -> Optional[bool]:
"""
Linked Access Check On Target Resource
"""
return pulumi.get(self, "linked_access_check_on_target_resource")
@property
@pulumi.getter(name="preventDataExfiltration")
def prevent_data_exfiltration(self) -> Optional[bool]:
"""
Prevent Data Exfiltration
"""
return pulumi.get(self, "prevent_data_exfiltration")
@pulumi.output_type
class PrivateEndpointConnectionForPrivateLinkHubBasicResponse(dict):
"""
Private Endpoint Connection For Private Link Hub - Basic
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "provisioningState":
suggest = "provisioning_state"
elif key == "privateEndpoint":
suggest = "private_endpoint"
elif key == "privateLinkServiceConnectionState":
suggest = "private_link_service_connection_state"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in PrivateEndpointConnectionForPrivateLinkHubBasicResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
PrivateEndpointConnectionForPrivateLinkHubBasicResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
PrivateEndpointConnectionForPrivateLinkHubBasicResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
id: str,
provisioning_state: str,
private_endpoint: Optional['outputs.PrivateEndpointResponse'] = None,
private_link_service_connection_state: Optional['outputs.PrivateLinkServiceConnectionStateResponse'] = None):
"""
Private Endpoint Connection For Private Link Hub - Basic
:param str id: identifier
:param str provisioning_state: Provisioning state of the private endpoint connection.
:param 'PrivateEndpointResponse' private_endpoint: The private endpoint which the connection belongs to.
:param 'PrivateLinkServiceConnectionStateResponse' private_link_service_connection_state: Connection state of the private endpoint connection.
"""
pulumi.set(__self__, "id", id)
pulumi.set(__self__, "provisioning_state", provisioning_state)
if private_endpoint is not None:
pulumi.set(__self__, "private_endpoint", private_endpoint)
if private_link_service_connection_state is not None:
pulumi.set(__self__, "private_link_service_connection_state", private_link_service_connection_state)
@property
@pulumi.getter
def id(self) -> str:
"""
identifier
"""
return pulumi.get(self, "id")
@property
@pulumi.getter(name="provisioningState")
def provisioning_state(self) -> str:
"""
Provisioning state of the private endpoint connection.
"""
return pulumi.get(self, "provisioning_state")
@property
@pulumi.getter(name="privateEndpoint")
def private_endpoint(self) -> Optional['outputs.PrivateEndpointResponse']:
"""
The private endpoint which the connection belongs to.
"""
return pulumi.get(self, "private_endpoint")
@property
@pulumi.getter(name="privateLinkServiceConnectionState")
def private_link_service_connection_state(self) -> Optional['outputs.PrivateLinkServiceConnectionStateResponse']:
"""
Connection state of the private endpoint connection.
"""
return pulumi.get(self, "private_link_service_connection_state")
@pulumi.output_type
class PrivateEndpointConnectionResponse(dict):
"""
A private endpoint connection
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "provisioningState":
suggest = "provisioning_state"
elif key == "privateEndpoint":
suggest = "private_endpoint"
elif key == "privateLinkServiceConnectionState":
suggest = "private_link_service_connection_state"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in PrivateEndpointConnectionResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
PrivateEndpointConnectionResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
PrivateEndpointConnectionResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
id: str,
name: str,
provisioning_state: str,
type: str,
private_endpoint: Optional['outputs.PrivateEndpointResponse'] = None,
private_link_service_connection_state: Optional['outputs.PrivateLinkServiceConnectionStateResponse'] = None):
"""
A private endpoint connection
:param str id: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
:param str name: The name of the resource
:param str provisioning_state: Provisioning state of the private endpoint connection.
:param str type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
:param 'PrivateEndpointResponse' private_endpoint: The private endpoint which the connection belongs to.
:param 'PrivateLinkServiceConnectionStateResponse' private_link_service_connection_state: Connection state of the private endpoint connection.
"""
pulumi.set(__self__, "id", id)
pulumi.set(__self__, "name", name)
pulumi.set(__self__, "provisioning_state", provisioning_state)
pulumi.set(__self__, "type", type)
if private_endpoint is not None:
pulumi.set(__self__, "private_endpoint", private_endpoint)
if private_link_service_connection_state is not None:
pulumi.set(__self__, "private_link_service_connection_state", private_link_service_connection_state)
@property
@pulumi.getter
def id(self) -> str:
"""
Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> str:
"""
The name of the resource
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="provisioningState")
def provisioning_state(self) -> str:
"""
Provisioning state of the private endpoint connection.
"""
return pulumi.get(self, "provisioning_state")
@property
@pulumi.getter
def type(self) -> str:
"""
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="privateEndpoint")
def private_endpoint(self) -> Optional['outputs.PrivateEndpointResponse']:
"""
The private endpoint which the connection belongs to.
"""
return pulumi.get(self, "private_endpoint")
@property
@pulumi.getter(name="privateLinkServiceConnectionState")
def private_link_service_connection_state(self) -> Optional['outputs.PrivateLinkServiceConnectionStateResponse']:
"""
Connection state of the private endpoint connection.
"""
return pulumi.get(self, "private_link_service_connection_state")
@pulumi.output_type
class PrivateEndpointResponse(dict):
"""
Private endpoint details
"""
def __init__(__self__, *,
id: str):
"""
Private endpoint details
:param str id: Resource id of the private endpoint.
"""
pulumi.set(__self__, "id", id)
@property
@pulumi.getter
def id(self) -> str:
"""
Resource id of the private endpoint.
"""
return pulumi.get(self, "id")
@pulumi.output_type
class PrivateLinkServiceConnectionStateResponse(dict):
"""
Connection state details of the private endpoint
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "actionsRequired":
suggest = "actions_required"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in PrivateLinkServiceConnectionStateResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
PrivateLinkServiceConnectionStateResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
PrivateLinkServiceConnectionStateResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
actions_required: str,
description: Optional[str] = None,
status: Optional[str] = None):
"""
Connection state details of the private endpoint
:param str actions_required: The actions required for private link service connection.
:param str description: The private link service connection description.
:param str status: The private link service connection status.
"""
pulumi.set(__self__, "actions_required", actions_required)
if description is not None:
pulumi.set(__self__, "description", description)
if status is not None:
pulumi.set(__self__, "status", status)
@property
@pulumi.getter(name="actionsRequired")
def actions_required(self) -> str:
"""
The actions required for private link service connection.
"""
return pulumi.get(self, "actions_required")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
The private link service connection description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def status(self) -> Optional[str]:
"""
The private link service connection status.
"""
return pulumi.get(self, "status")
@pulumi.output_type
class PurviewConfigurationResponse(dict):
"""
Purview Configuration
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "purviewResourceId":
suggest = "purview_resource_id"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in PurviewConfigurationResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
PurviewConfigurationResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
PurviewConfigurationResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
purview_resource_id: Optional[str] = None):
"""
Purview Configuration
:param str purview_resource_id: Purview Resource ID
"""
if purview_resource_id is not None:
pulumi.set(__self__, "purview_resource_id", purview_resource_id)
@property
@pulumi.getter(name="purviewResourceId")
def purview_resource_id(self) -> Optional[str]:
"""
Purview Resource ID
"""
return pulumi.get(self, "purview_resource_id")
@pulumi.output_type
class SecureStringResponse(dict):
"""
Azure Synapse secure string definition. The string value will be masked with asterisks '*' during Get or List API calls.
"""
def __init__(__self__, *,
type: str,
value: str):
"""
Azure Synapse secure string definition. The string value will be masked with asterisks '*' during Get or List API calls.
:param str type: Type of the secret.
Expected value is 'SecureString'.
:param str value: Value of secure string.
"""
pulumi.set(__self__, "type", 'SecureString')
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def type(self) -> str:
"""
Type of the secret.
Expected value is 'SecureString'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def value(self) -> str:
"""
Value of secure string.
"""
return pulumi.get(self, "value")
@pulumi.output_type
class SelfHostedIntegrationRuntimeNodeResponse(dict):
"""
Properties of Self-hosted integration runtime node.
"""
def __init__(__self__, *,
capabilities: Mapping[str, str],
concurrent_jobs_limit: int,
expiry_time: str,
host_service_uri: str,
is_active_dispatcher: bool,
last_connect_time: str,
last_end_update_time: str,
last_start_time: str,
last_start_update_time: str,
last_stop_time: str,
last_update_result: str,
machine_name: str,
max_concurrent_jobs: int,
node_name: str,
register_time: str,
status: str,
version: str,
version_status: str):
"""
Properties of Self-hosted integration runtime node.
:param Mapping[str, str] capabilities: The integration runtime capabilities dictionary
:param int concurrent_jobs_limit: Maximum concurrent jobs on the integration runtime node.
:param str expiry_time: The time at which the integration runtime will expire in ISO8601 format.
:param str host_service_uri: URI for the host machine of the integration runtime.
:param bool is_active_dispatcher: Indicates whether this node is the active dispatcher for integration runtime requests.
:param str last_connect_time: The most recent time at which the integration runtime was connected in ISO8601 format.
:param str last_end_update_time: The last time for the integration runtime node update end.
:param str last_start_time: The time the node last started up.
:param str last_start_update_time: The last time for the integration runtime node update start.
:param str last_stop_time: The integration runtime node last stop time.
:param str last_update_result: The result of the last integration runtime node update.
:param str machine_name: Machine name of the integration runtime node.
:param int max_concurrent_jobs: The maximum concurrent jobs in this integration runtime.
:param str node_name: Name of the integration runtime node.
:param str register_time: The time at which the integration runtime node was registered in ISO8601 format.
:param str status: Status of the integration runtime node.
:param str version: Version of the integration runtime node.
:param str version_status: Status of the integration runtime node version.
"""
pulumi.set(__self__, "capabilities", capabilities)
pulumi.set(__self__, "concurrent_jobs_limit", concurrent_jobs_limit)
pulumi.set(__self__, "expiry_time", expiry_time)
pulumi.set(__self__, "host_service_uri", host_service_uri)
pulumi.set(__self__, "is_active_dispatcher", is_active_dispatcher)
pulumi.set(__self__, "last_connect_time", last_connect_time)
pulumi.set(__self__, "last_end_update_time", last_end_update_time)
pulumi.set(__self__, "last_start_time", last_start_time)
pulumi.set(__self__, "last_start_update_time", last_start_update_time)
pulumi.set(__self__, "last_stop_time", last_stop_time)
pulumi.set(__self__, "last_update_result", last_update_result)
pulumi.set(__self__, "machine_name", machine_name)
pulumi.set(__self__, "max_concurrent_jobs", max_concurrent_jobs)
pulumi.set(__self__, "node_name", node_name)
pulumi.set(__self__, "register_time", register_time)
pulumi.set(__self__, "status", status)
pulumi.set(__self__, "version", version)
pulumi.set(__self__, "version_status", version_status)
@property
@pulumi.getter
def capabilities(self) -> Mapping[str, str]:
"""
The integration runtime capabilities dictionary
"""
return pulumi.get(self, "capabilities")
@property
@pulumi.getter(name="concurrentJobsLimit")
def concurrent_jobs_limit(self) -> int:
"""
Maximum concurrent jobs on the integration runtime node.
"""
return pulumi.get(self, "concurrent_jobs_limit")
@property
@pulumi.getter(name="expiryTime")
def expiry_time(self) -> str:
"""
The time at which the integration runtime will expire in ISO8601 format.
"""
return pulumi.get(self, "expiry_time")
@property
@pulumi.getter(name="hostServiceUri")
def host_service_uri(self) -> str:
"""
URI for the host machine of the integration runtime.
"""
return pulumi.get(self, "host_service_uri")
@property
@pulumi.getter(name="isActiveDispatcher")
def is_active_dispatcher(self) -> bool:
"""
Indicates whether this node is the active dispatcher for integration runtime requests.
"""
return pulumi.get(self, "is_active_dispatcher")
@property
@pulumi.getter(name="lastConnectTime")
def last_connect_time(self) -> str:
"""
The most recent time at which the integration runtime was connected in ISO8601 format.
"""
return pulumi.get(self, "last_connect_time")
@property
@pulumi.getter(name="lastEndUpdateTime")
def last_end_update_time(self) -> str:
"""
The last time for the integration runtime node update end.
"""
return pulumi.get(self, "last_end_update_time")
@property
@pulumi.getter(name="lastStartTime")
def last_start_time(self) -> str:
"""
The time the node last started up.
"""
return pulumi.get(self, "last_start_time")
@property
@pulumi.getter(name="lastStartUpdateTime")
def last_start_update_time(self) -> str:
"""
The last time for the integration runtime node update start.
"""
return pulumi.get(self, "last_start_update_time")
@property
@pulumi.getter(name="lastStopTime")
def last_stop_time(self) -> str:
"""
The integration runtime node last stop time.
"""
return pulumi.get(self, "last_stop_time")
@property
@pulumi.getter(name="lastUpdateResult")
def last_update_result(self) -> str:
"""
The result of the last integration runtime node update.
"""
return pulumi.get(self, "last_update_result")
@property
@pulumi.getter(name="machineName")
def machine_name(self) -> str:
"""
Machine name of the integration runtime node.
"""
return pulumi.get(self, "machine_name")
@property
@pulumi.getter(name="maxConcurrentJobs")
def max_concurrent_jobs(self) -> int:
"""
The maximum concurrent jobs in this integration runtime.
"""
return pulumi.get(self, "max_concurrent_jobs")
@property
@pulumi.getter(name="nodeName")
def node_name(self) -> str:
"""
Name of the integration runtime node.
"""
return pulumi.get(self, "node_name")
@property
@pulumi.getter(name="registerTime")
def register_time(self) -> str:
"""
The time at which the integration runtime node was registered in ISO8601 format.
"""
return pulumi.get(self, "register_time")
@property
@pulumi.getter
def status(self) -> str:
"""
Status of the integration runtime node.
"""
return pulumi.get(self, "status")
@property
@pulumi.getter
def version(self) -> str:
"""
Version of the integration runtime node.
"""
return pulumi.get(self, "version")
@property
@pulumi.getter(name="versionStatus")
def version_status(self) -> str:
"""
Status of the integration runtime node version.
"""
return pulumi.get(self, "version_status")
@pulumi.output_type
class SelfHostedIntegrationRuntimeResponse(dict):
"""
Self-hosted integration runtime.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "linkedInfo":
suggest = "linked_info"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in SelfHostedIntegrationRuntimeResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
SelfHostedIntegrationRuntimeResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
SelfHostedIntegrationRuntimeResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
type: str,
description: Optional[str] = None,
linked_info: Optional[Any] = None):
"""
Self-hosted integration runtime.
:param str type: The type of integration runtime.
Expected value is 'SelfHosted'.
:param str description: Integration runtime description.
:param Union['LinkedIntegrationRuntimeKeyAuthorizationResponse', 'LinkedIntegrationRuntimeRbacAuthorizationResponse'] linked_info: Linked integration runtime type from data factory
"""
pulumi.set(__self__, "type", 'SelfHosted')
if description is not None:
pulumi.set(__self__, "description", description)
if linked_info is not None:
pulumi.set(__self__, "linked_info", linked_info)
@property
@pulumi.getter
def type(self) -> str:
"""
The type of integration runtime.
Expected value is 'SelfHosted'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Integration runtime description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="linkedInfo")
def linked_info(self) -> Optional[Any]:
"""
Linked integration runtime type from data factory
"""
return pulumi.get(self, "linked_info")
@pulumi.output_type
class SelfHostedIntegrationRuntimeStatusResponse(dict):
"""
Self-hosted integration runtime status.
"""
def __init__(__self__, *,
auto_update: str,
auto_update_eta: str,
capabilities: Mapping[str, str],
create_time: str,
data_factory_name: str,
internal_channel_encryption: str,
latest_version: str,
local_time_zone_offset: str,
node_communication_channel_encryption_mode: str,
pushed_version: str,
scheduled_update_date: str,
service_urls: Sequence[str],
state: str,
task_queue_id: str,
type: str,
update_delay_offset: str,
version: str,
version_status: str,
links: Optional[Sequence['outputs.LinkedIntegrationRuntimeResponse']] = None,
nodes: Optional[Sequence['outputs.SelfHostedIntegrationRuntimeNodeResponse']] = None):
"""
Self-hosted integration runtime status.
:param str auto_update: Whether Self-hosted integration runtime auto update has been turned on.
:param str auto_update_eta: The estimated time when the self-hosted integration runtime will be updated.
:param Mapping[str, str] capabilities: Object with additional information about integration runtime capabilities.
:param str create_time: The time at which the integration runtime was created, in ISO8601 format.
:param str data_factory_name: The workspace name which the integration runtime belong to.
:param str internal_channel_encryption: It is used to set the encryption mode for node-node communication channel (when more than 2 self-hosted integration runtime nodes exist).
:param str latest_version: The latest version on download center.
:param str local_time_zone_offset: The local time zone offset in hours.
:param str node_communication_channel_encryption_mode: The node communication Channel encryption mode
:param str pushed_version: The version that the integration runtime is going to update to.
:param str scheduled_update_date: The date at which the integration runtime will be scheduled to update, in ISO8601 format.
:param Sequence[str] service_urls: The URLs for the services used in integration runtime backend service.
:param str state: The state of integration runtime.
:param str task_queue_id: The task queue id of the integration runtime.
:param str type: The type of integration runtime.
Expected value is 'SelfHosted'.
:param str update_delay_offset: The time in the date scheduled by service to update the integration runtime, e.g., PT03H is 3 hours
:param str version: Version of the integration runtime.
:param str version_status: Status of the integration runtime version.
:param Sequence['LinkedIntegrationRuntimeResponse'] links: The list of linked integration runtimes that are created to share with this integration runtime.
:param Sequence['SelfHostedIntegrationRuntimeNodeResponse'] nodes: The list of nodes for this integration runtime.
"""
pulumi.set(__self__, "auto_update", auto_update)
pulumi.set(__self__, "auto_update_eta", auto_update_eta)
pulumi.set(__self__, "capabilities", capabilities)
pulumi.set(__self__, "create_time", create_time)
pulumi.set(__self__, "data_factory_name", data_factory_name)
pulumi.set(__self__, "internal_channel_encryption", internal_channel_encryption)
pulumi.set(__self__, "latest_version", latest_version)
pulumi.set(__self__, "local_time_zone_offset", local_time_zone_offset)
pulumi.set(__self__, "node_communication_channel_encryption_mode", node_communication_channel_encryption_mode)
pulumi.set(__self__, "pushed_version", pushed_version)
pulumi.set(__self__, "scheduled_update_date", scheduled_update_date)
pulumi.set(__self__, "service_urls", service_urls)
pulumi.set(__self__, "state", state)
pulumi.set(__self__, "task_queue_id", task_queue_id)
pulumi.set(__self__, "type", 'SelfHosted')
pulumi.set(__self__, "update_delay_offset", update_delay_offset)
pulumi.set(__self__, "version", version)
pulumi.set(__self__, "version_status", version_status)
if links is not None:
pulumi.set(__self__, "links", links)
if nodes is not None:
pulumi.set(__self__, "nodes", nodes)
@property
@pulumi.getter(name="autoUpdate")
def auto_update(self) -> str:
"""
Whether Self-hosted integration runtime auto update has been turned on.
"""
return pulumi.get(self, "auto_update")
@property
@pulumi.getter(name="autoUpdateETA")
def auto_update_eta(self) -> str:
"""
The estimated time when the self-hosted integration runtime will be updated.
"""
return pulumi.get(self, "auto_update_eta")
@property
@pulumi.getter
def capabilities(self) -> Mapping[str, str]:
"""
Object with additional information about integration runtime capabilities.
"""
return pulumi.get(self, "capabilities")
@property
@pulumi.getter(name="createTime")
def create_time(self) -> str:
"""
The time at which the integration runtime was created, in ISO8601 format.
"""
return pulumi.get(self, "create_time")
@property
@pulumi.getter(name="dataFactoryName")
def data_factory_name(self) -> str:
"""
The workspace name which the integration runtime belong to.
"""
return pulumi.get(self, "data_factory_name")
@property
@pulumi.getter(name="internalChannelEncryption")
def internal_channel_encryption(self) -> str:
"""
It is used to set the encryption mode for node-node communication channel (when more than 2 self-hosted integration runtime nodes exist).
"""
return pulumi.get(self, "internal_channel_encryption")
@property
@pulumi.getter(name="latestVersion")
def latest_version(self) -> str:
"""
The latest version on download center.
"""
return pulumi.get(self, "latest_version")
@property
@pulumi.getter(name="localTimeZoneOffset")
def local_time_zone_offset(self) -> str:
"""
The local time zone offset in hours.
"""
return pulumi.get(self, "local_time_zone_offset")
@property
@pulumi.getter(name="nodeCommunicationChannelEncryptionMode")
def node_communication_channel_encryption_mode(self) -> str:
"""
The node communication Channel encryption mode
"""
return pulumi.get(self, "node_communication_channel_encryption_mode")
@property
@pulumi.getter(name="pushedVersion")
def pushed_version(self) -> str:
"""
The version that the integration runtime is going to update to.
"""
return pulumi.get(self, "pushed_version")
@property
@pulumi.getter(name="scheduledUpdateDate")
def scheduled_update_date(self) -> str:
"""
The date at which the integration runtime will be scheduled to update, in ISO8601 format.
"""
return pulumi.get(self, "scheduled_update_date")
@property
@pulumi.getter(name="serviceUrls")
def service_urls(self) -> Sequence[str]:
"""
The URLs for the services used in integration runtime backend service.
"""
return pulumi.get(self, "service_urls")
@property
@pulumi.getter
def state(self) -> str:
"""
The state of integration runtime.
"""
return pulumi.get(self, "state")
@property
@pulumi.getter(name="taskQueueId")
def task_queue_id(self) -> str:
"""
The task queue id of the integration runtime.
"""
return pulumi.get(self, "task_queue_id")
@property
@pulumi.getter
def type(self) -> str:
"""
The type of integration runtime.
Expected value is 'SelfHosted'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="updateDelayOffset")
def update_delay_offset(self) -> str:
"""
The time in the date scheduled by service to update the integration runtime, e.g., PT03H is 3 hours
"""
return pulumi.get(self, "update_delay_offset")
@property
@pulumi.getter
def version(self) -> str:
"""
Version of the integration runtime.
"""
return pulumi.get(self, "version")
@property
@pulumi.getter(name="versionStatus")
def version_status(self) -> str:
"""
Status of the integration runtime version.
"""
return pulumi.get(self, "version_status")
@property
@pulumi.getter
def links(self) -> Optional[Sequence['outputs.LinkedIntegrationRuntimeResponse']]:
"""
The list of linked integration runtimes that are created to share with this integration runtime.
"""
return pulumi.get(self, "links")
@property
@pulumi.getter
def nodes(self) -> Optional[Sequence['outputs.SelfHostedIntegrationRuntimeNodeResponse']]:
"""
The list of nodes for this integration runtime.
"""
return pulumi.get(self, "nodes")
@pulumi.output_type
class SkuResponse(dict):
"""
SQL pool SKU
"""
def __init__(__self__, *,
capacity: Optional[int] = None,
name: Optional[str] = None,
tier: Optional[str] = None):
"""
SQL pool SKU
:param int capacity: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
:param str name: The SKU name
:param str tier: The service tier
"""
if capacity is not None:
pulumi.set(__self__, "capacity", capacity)
if name is not None:
pulumi.set(__self__, "name", name)
if tier is not None:
pulumi.set(__self__, "tier", tier)
@property
@pulumi.getter
def capacity(self) -> Optional[int]:
"""
If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
"""
return pulumi.get(self, "capacity")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
The SKU name
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def tier(self) -> Optional[str]:
"""
The service tier
"""
return pulumi.get(self, "tier")
@pulumi.output_type
class SqlPoolVulnerabilityAssessmentRuleBaselineItemResponse(dict):
"""
Properties for an Sql pool vulnerability assessment rule baseline's result.
"""
def __init__(__self__, *,
result: Sequence[str]):
"""
Properties for an Sql pool vulnerability assessment rule baseline's result.
:param Sequence[str] result: The rule baseline result
"""
pulumi.set(__self__, "result", result)
@property
@pulumi.getter
def result(self) -> Sequence[str]:
"""
The rule baseline result
"""
return pulumi.get(self, "result")
@pulumi.output_type
class SsisEnvironmentReferenceResponse(dict):
"""
Ssis environment reference.
"""
def __init__(__self__, *,
environment_folder_name: Optional[str] = None,
environment_name: Optional[str] = None,
id: Optional[float] = None,
reference_type: Optional[str] = None):
"""
Ssis environment reference.
:param str environment_folder_name: Environment folder name.
:param str environment_name: Environment name.
:param float id: Environment reference id.
:param str reference_type: Reference type
"""
if environment_folder_name is not None:
pulumi.set(__self__, "environment_folder_name", environment_folder_name)
if environment_name is not None:
pulumi.set(__self__, "environment_name", environment_name)
if id is not None:
pulumi.set(__self__, "id", id)
if reference_type is not None:
pulumi.set(__self__, "reference_type", reference_type)
@property
@pulumi.getter(name="environmentFolderName")
def environment_folder_name(self) -> Optional[str]:
"""
Environment folder name.
"""
return pulumi.get(self, "environment_folder_name")
@property
@pulumi.getter(name="environmentName")
def environment_name(self) -> Optional[str]:
"""
Environment name.
"""
return pulumi.get(self, "environment_name")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Environment reference id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter(name="referenceType")
def reference_type(self) -> Optional[str]:
"""
Reference type
"""
return pulumi.get(self, "reference_type")
@pulumi.output_type
class SsisEnvironmentResponse(dict):
"""
Ssis environment.
"""
def __init__(__self__, *,
type: str,
description: Optional[str] = None,
folder_id: Optional[float] = None,
id: Optional[float] = None,
name: Optional[str] = None,
variables: Optional[Sequence['outputs.SsisVariableResponse']] = None):
"""
Ssis environment.
:param str type: The type of SSIS object metadata.
Expected value is 'Environment'.
:param str description: Metadata description.
:param float folder_id: Folder id which contains environment.
:param float id: Metadata id.
:param str name: Metadata name.
:param Sequence['SsisVariableResponse'] variables: Variable in environment
"""
pulumi.set(__self__, "type", 'Environment')
if description is not None:
pulumi.set(__self__, "description", description)
if folder_id is not None:
pulumi.set(__self__, "folder_id", folder_id)
if id is not None:
pulumi.set(__self__, "id", id)
if name is not None:
pulumi.set(__self__, "name", name)
if variables is not None:
pulumi.set(__self__, "variables", variables)
@property
@pulumi.getter
def type(self) -> str:
"""
The type of SSIS object metadata.
Expected value is 'Environment'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Metadata description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="folderId")
def folder_id(self) -> Optional[float]:
"""
Folder id which contains environment.
"""
return pulumi.get(self, "folder_id")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Metadata id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Metadata name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def variables(self) -> Optional[Sequence['outputs.SsisVariableResponse']]:
"""
Variable in environment
"""
return pulumi.get(self, "variables")
@pulumi.output_type
class SsisFolderResponse(dict):
"""
Ssis folder.
"""
def __init__(__self__, *,
type: str,
description: Optional[str] = None,
id: Optional[float] = None,
name: Optional[str] = None):
"""
Ssis folder.
:param str type: The type of SSIS object metadata.
Expected value is 'Folder'.
:param str description: Metadata description.
:param float id: Metadata id.
:param str name: Metadata name.
"""
pulumi.set(__self__, "type", 'Folder')
if description is not None:
pulumi.set(__self__, "description", description)
if id is not None:
pulumi.set(__self__, "id", id)
if name is not None:
pulumi.set(__self__, "name", name)
@property
@pulumi.getter
def type(self) -> str:
"""
The type of SSIS object metadata.
Expected value is 'Folder'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Metadata description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Metadata id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Metadata name.
"""
return pulumi.get(self, "name")
@pulumi.output_type
class SsisPackageResponse(dict):
"""
Ssis Package.
"""
def __init__(__self__, *,
type: str,
description: Optional[str] = None,
folder_id: Optional[float] = None,
id: Optional[float] = None,
name: Optional[str] = None,
parameters: Optional[Sequence['outputs.SsisParameterResponse']] = None,
project_id: Optional[float] = None,
project_version: Optional[float] = None):
"""
Ssis Package.
:param str type: The type of SSIS object metadata.
Expected value is 'Package'.
:param str description: Metadata description.
:param float folder_id: Folder id which contains package.
:param float id: Metadata id.
:param str name: Metadata name.
:param Sequence['SsisParameterResponse'] parameters: Parameters in package
:param float project_id: Project id which contains package.
:param float project_version: Project version which contains package.
"""
pulumi.set(__self__, "type", 'Package')
if description is not None:
pulumi.set(__self__, "description", description)
if folder_id is not None:
pulumi.set(__self__, "folder_id", folder_id)
if id is not None:
pulumi.set(__self__, "id", id)
if name is not None:
pulumi.set(__self__, "name", name)
if parameters is not None:
pulumi.set(__self__, "parameters", parameters)
if project_id is not None:
pulumi.set(__self__, "project_id", project_id)
if project_version is not None:
pulumi.set(__self__, "project_version", project_version)
@property
@pulumi.getter
def type(self) -> str:
"""
The type of SSIS object metadata.
Expected value is 'Package'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Metadata description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="folderId")
def folder_id(self) -> Optional[float]:
"""
Folder id which contains package.
"""
return pulumi.get(self, "folder_id")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Metadata id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Metadata name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def parameters(self) -> Optional[Sequence['outputs.SsisParameterResponse']]:
"""
Parameters in package
"""
return pulumi.get(self, "parameters")
@property
@pulumi.getter(name="projectId")
def project_id(self) -> Optional[float]:
"""
Project id which contains package.
"""
return pulumi.get(self, "project_id")
@property
@pulumi.getter(name="projectVersion")
def project_version(self) -> Optional[float]:
"""
Project version which contains package.
"""
return pulumi.get(self, "project_version")
@pulumi.output_type
class SsisParameterResponse(dict):
"""
Ssis parameter.
"""
def __init__(__self__, *,
data_type: Optional[str] = None,
default_value: Optional[str] = None,
description: Optional[str] = None,
design_default_value: Optional[str] = None,
id: Optional[float] = None,
name: Optional[str] = None,
required: Optional[bool] = None,
sensitive: Optional[bool] = None,
sensitive_default_value: Optional[str] = None,
value_set: Optional[bool] = None,
value_type: Optional[str] = None,
variable: Optional[str] = None):
"""
Ssis parameter.
:param str data_type: Parameter type.
:param str default_value: Default value of parameter.
:param str description: Parameter description.
:param str design_default_value: Design default value of parameter.
:param float id: Parameter id.
:param str name: Parameter name.
:param bool required: Whether parameter is required.
:param bool sensitive: Whether parameter is sensitive.
:param str sensitive_default_value: Default sensitive value of parameter.
:param bool value_set: Parameter value set.
:param str value_type: Parameter value type.
:param str variable: Parameter reference variable.
"""
if data_type is not None:
pulumi.set(__self__, "data_type", data_type)
if default_value is not None:
pulumi.set(__self__, "default_value", default_value)
if description is not None:
pulumi.set(__self__, "description", description)
if design_default_value is not None:
pulumi.set(__self__, "design_default_value", design_default_value)
if id is not None:
pulumi.set(__self__, "id", id)
if name is not None:
pulumi.set(__self__, "name", name)
if required is not None:
pulumi.set(__self__, "required", required)
if sensitive is not None:
pulumi.set(__self__, "sensitive", sensitive)
if sensitive_default_value is not None:
pulumi.set(__self__, "sensitive_default_value", sensitive_default_value)
if value_set is not None:
pulumi.set(__self__, "value_set", value_set)
if value_type is not None:
pulumi.set(__self__, "value_type", value_type)
if variable is not None:
pulumi.set(__self__, "variable", variable)
@property
@pulumi.getter(name="dataType")
def data_type(self) -> Optional[str]:
"""
Parameter type.
"""
return pulumi.get(self, "data_type")
@property
@pulumi.getter(name="defaultValue")
def default_value(self) -> Optional[str]:
"""
Default value of parameter.
"""
return pulumi.get(self, "default_value")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Parameter description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="designDefaultValue")
def design_default_value(self) -> Optional[str]:
"""
Design default value of parameter.
"""
return pulumi.get(self, "design_default_value")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Parameter id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Parameter name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def required(self) -> Optional[bool]:
"""
Whether parameter is required.
"""
return pulumi.get(self, "required")
@property
@pulumi.getter
def sensitive(self) -> Optional[bool]:
"""
Whether parameter is sensitive.
"""
return pulumi.get(self, "sensitive")
@property
@pulumi.getter(name="sensitiveDefaultValue")
def sensitive_default_value(self) -> Optional[str]:
"""
Default sensitive value of parameter.
"""
return pulumi.get(self, "sensitive_default_value")
@property
@pulumi.getter(name="valueSet")
def value_set(self) -> Optional[bool]:
"""
Parameter value set.
"""
return pulumi.get(self, "value_set")
@property
@pulumi.getter(name="valueType")
def value_type(self) -> Optional[str]:
"""
Parameter value type.
"""
return pulumi.get(self, "value_type")
@property
@pulumi.getter
def variable(self) -> Optional[str]:
"""
Parameter reference variable.
"""
return pulumi.get(self, "variable")
@pulumi.output_type
class SsisProjectResponse(dict):
"""
Ssis project.
"""
def __init__(__self__, *,
type: str,
description: Optional[str] = None,
environment_refs: Optional[Sequence['outputs.SsisEnvironmentReferenceResponse']] = None,
folder_id: Optional[float] = None,
id: Optional[float] = None,
name: Optional[str] = None,
parameters: Optional[Sequence['outputs.SsisParameterResponse']] = None,
version: Optional[float] = None):
"""
Ssis project.
:param str type: The type of SSIS object metadata.
Expected value is 'Project'.
:param str description: Metadata description.
:param Sequence['SsisEnvironmentReferenceResponse'] environment_refs: Environment reference in project
:param float folder_id: Folder id which contains project.
:param float id: Metadata id.
:param str name: Metadata name.
:param Sequence['SsisParameterResponse'] parameters: Parameters in project
:param float version: Project version.
"""
pulumi.set(__self__, "type", 'Project')
if description is not None:
pulumi.set(__self__, "description", description)
if environment_refs is not None:
pulumi.set(__self__, "environment_refs", environment_refs)
if folder_id is not None:
pulumi.set(__self__, "folder_id", folder_id)
if id is not None:
pulumi.set(__self__, "id", id)
if name is not None:
pulumi.set(__self__, "name", name)
if parameters is not None:
pulumi.set(__self__, "parameters", parameters)
if version is not None:
pulumi.set(__self__, "version", version)
@property
@pulumi.getter
def type(self) -> str:
"""
The type of SSIS object metadata.
Expected value is 'Project'.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Metadata description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="environmentRefs")
def environment_refs(self) -> Optional[Sequence['outputs.SsisEnvironmentReferenceResponse']]:
"""
Environment reference in project
"""
return pulumi.get(self, "environment_refs")
@property
@pulumi.getter(name="folderId")
def folder_id(self) -> Optional[float]:
"""
Folder id which contains project.
"""
return pulumi.get(self, "folder_id")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Metadata id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Metadata name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def parameters(self) -> Optional[Sequence['outputs.SsisParameterResponse']]:
"""
Parameters in project
"""
return pulumi.get(self, "parameters")
@property
@pulumi.getter
def version(self) -> Optional[float]:
"""
Project version.
"""
return pulumi.get(self, "version")
@pulumi.output_type
class SsisVariableResponse(dict):
"""
Ssis variable.
"""
def __init__(__self__, *,
data_type: Optional[str] = None,
description: Optional[str] = None,
id: Optional[float] = None,
name: Optional[str] = None,
sensitive: Optional[bool] = None,
sensitive_value: Optional[str] = None,
value: Optional[str] = None):
"""
Ssis variable.
:param str data_type: Variable type.
:param str description: Variable description.
:param float id: Variable id.
:param str name: Variable name.
:param bool sensitive: Whether variable is sensitive.
:param str sensitive_value: Variable sensitive value.
:param str value: Variable value.
"""
if data_type is not None:
pulumi.set(__self__, "data_type", data_type)
if description is not None:
pulumi.set(__self__, "description", description)
if id is not None:
pulumi.set(__self__, "id", id)
if name is not None:
pulumi.set(__self__, "name", name)
if sensitive is not None:
pulumi.set(__self__, "sensitive", sensitive)
if sensitive_value is not None:
pulumi.set(__self__, "sensitive_value", sensitive_value)
if value is not None:
pulumi.set(__self__, "value", value)
@property
@pulumi.getter(name="dataType")
def data_type(self) -> Optional[str]:
"""
Variable type.
"""
return pulumi.get(self, "data_type")
@property
@pulumi.getter
def description(self) -> Optional[str]:
"""
Variable description.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def id(self) -> Optional[float]:
"""
Variable id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Variable name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def sensitive(self) -> Optional[bool]:
"""
Whether variable is sensitive.
"""
return pulumi.get(self, "sensitive")
@property
@pulumi.getter(name="sensitiveValue")
def sensitive_value(self) -> Optional[str]:
"""
Variable sensitive value.
"""
return pulumi.get(self, "sensitive_value")
@property
@pulumi.getter
def value(self) -> Optional[str]:
"""
Variable value.
"""
return pulumi.get(self, "value")
@pulumi.output_type
class VirtualNetworkProfileResponse(dict):
"""
Virtual Network Profile
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "computeSubnetId":
suggest = "compute_subnet_id"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in VirtualNetworkProfileResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
VirtualNetworkProfileResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
VirtualNetworkProfileResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
compute_subnet_id: Optional[str] = None):
"""
Virtual Network Profile
:param str compute_subnet_id: Subnet ID used for computes in workspace
"""
if compute_subnet_id is not None:
pulumi.set(__self__, "compute_subnet_id", compute_subnet_id)
@property
@pulumi.getter(name="computeSubnetId")
def compute_subnet_id(self) -> Optional[str]:
"""
Subnet ID used for computes in workspace
"""
return pulumi.get(self, "compute_subnet_id")
@pulumi.output_type
class VulnerabilityAssessmentRecurringScansPropertiesResponse(dict):
"""
Properties of a Vulnerability Assessment recurring scans.
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "emailSubscriptionAdmins":
suggest = "email_subscription_admins"
elif key == "isEnabled":
suggest = "is_enabled"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in VulnerabilityAssessmentRecurringScansPropertiesResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
VulnerabilityAssessmentRecurringScansPropertiesResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
VulnerabilityAssessmentRecurringScansPropertiesResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
email_subscription_admins: Optional[bool] = None,
emails: Optional[Sequence[str]] = None,
is_enabled: Optional[bool] = None):
"""
Properties of a Vulnerability Assessment recurring scans.
:param bool email_subscription_admins: Specifies that the schedule scan notification will be is sent to the subscription administrators.
:param Sequence[str] emails: Specifies an array of e-mail addresses to which the scan notification is sent.
:param bool is_enabled: Recurring scans state.
"""
if email_subscription_admins is None:
email_subscription_admins = True
if email_subscription_admins is not None:
pulumi.set(__self__, "email_subscription_admins", email_subscription_admins)
if emails is not None:
pulumi.set(__self__, "emails", emails)
if is_enabled is not None:
pulumi.set(__self__, "is_enabled", is_enabled)
@property
@pulumi.getter(name="emailSubscriptionAdmins")
def email_subscription_admins(self) -> Optional[bool]:
"""
Specifies that the schedule scan notification will be is sent to the subscription administrators.
"""
return pulumi.get(self, "email_subscription_admins")
@property
@pulumi.getter
def emails(self) -> Optional[Sequence[str]]:
"""
Specifies an array of e-mail addresses to which the scan notification is sent.
"""
return pulumi.get(self, "emails")
@property
@pulumi.getter(name="isEnabled")
def is_enabled(self) -> Optional[bool]:
"""
Recurring scans state.
"""
return pulumi.get(self, "is_enabled")
@pulumi.output_type
class WorkspaceKeyDetailsResponse(dict):
"""
Details of the customer managed key associated with the workspace
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "keyVaultUrl":
suggest = "key_vault_url"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in WorkspaceKeyDetailsResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
WorkspaceKeyDetailsResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
WorkspaceKeyDetailsResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
key_vault_url: Optional[str] = None,
name: Optional[str] = None):
"""
Details of the customer managed key associated with the workspace
:param str key_vault_url: Workspace Key sub-resource key vault url
:param str name: Workspace Key sub-resource name
"""
if key_vault_url is not None:
pulumi.set(__self__, "key_vault_url", key_vault_url)
if name is not None:
pulumi.set(__self__, "name", name)
@property
@pulumi.getter(name="keyVaultUrl")
def key_vault_url(self) -> Optional[str]:
"""
Workspace Key sub-resource key vault url
"""
return pulumi.get(self, "key_vault_url")
@property
@pulumi.getter
def name(self) -> Optional[str]:
"""
Workspace Key sub-resource name
"""
return pulumi.get(self, "name")
@pulumi.output_type
class WorkspaceRepositoryConfigurationResponse(dict):
"""
Git integration settings
"""
@staticmethod
def __key_warning(key: str):
suggest = None
if key == "accountName":
suggest = "account_name"
elif key == "collaborationBranch":
suggest = "collaboration_branch"
elif key == "hostName":
suggest = "host_name"
elif key == "lastCommitId":
suggest = "last_commit_id"
elif key == "projectName":
suggest = "project_name"
elif key == "repositoryName":
suggest = "repository_name"
elif key == "rootFolder":
suggest = "root_folder"
elif key == "tenantId":
suggest = "tenant_id"
if suggest:
pulumi.log.warn(f"Key '{key}' not found in WorkspaceRepositoryConfigurationResponse. Access the value via the '{suggest}' property getter instead.")
def __getitem__(self, key: str) -> Any:
WorkspaceRepositoryConfigurationResponse.__key_warning(key)
return super().__getitem__(key)
def get(self, key: str, default = None) -> Any:
WorkspaceRepositoryConfigurationResponse.__key_warning(key)
return super().get(key, default)
def __init__(__self__, *,
account_name: Optional[str] = None,
collaboration_branch: Optional[str] = None,
host_name: Optional[str] = None,
last_commit_id: Optional[str] = None,
project_name: Optional[str] = None,
repository_name: Optional[str] = None,
root_folder: Optional[str] = None,
tenant_id: Optional[str] = None,
type: Optional[str] = None):
"""
Git integration settings
:param str account_name: Account name
:param str collaboration_branch: Collaboration branch
:param str host_name: GitHub Enterprise host name. For example: https://github.mydomain.com
:param str last_commit_id: The last commit ID
:param str project_name: VSTS project name
:param str repository_name: Repository name
:param str root_folder: Root folder to use in the repository
:param str tenant_id: The VSTS tenant ID
:param str type: Type of workspace repositoryID configuration. Example WorkspaceVSTSConfiguration, WorkspaceGitHubConfiguration
"""
if account_name is not None:
pulumi.set(__self__, "account_name", account_name)
if collaboration_branch is not None:
pulumi.set(__self__, "collaboration_branch", collaboration_branch)
if host_name is not None:
pulumi.set(__self__, "host_name", host_name)
if last_commit_id is not None:
pulumi.set(__self__, "last_commit_id", last_commit_id)
if project_name is not None:
pulumi.set(__self__, "project_name", project_name)
if repository_name is not None:
pulumi.set(__self__, "repository_name", repository_name)
if root_folder is not None:
pulumi.set(__self__, "root_folder", root_folder)
if tenant_id is not None:
pulumi.set(__self__, "tenant_id", tenant_id)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="accountName")
def account_name(self) -> Optional[str]:
"""
Account name
"""
return pulumi.get(self, "account_name")
@property
@pulumi.getter(name="collaborationBranch")
def collaboration_branch(self) -> Optional[str]:
"""
Collaboration branch
"""
return pulumi.get(self, "collaboration_branch")
@property
@pulumi.getter(name="hostName")
def host_name(self) -> Optional[str]:
"""
GitHub Enterprise host name. For example: https://github.mydomain.com
"""
return pulumi.get(self, "host_name")
@property
@pulumi.getter(name="lastCommitId")
def last_commit_id(self) -> Optional[str]:
"""
The last commit ID
"""
return pulumi.get(self, "last_commit_id")
@property
@pulumi.getter(name="projectName")
def project_name(self) -> Optional[str]:
"""
VSTS project name
"""
return pulumi.get(self, "project_name")
@property
@pulumi.getter(name="repositoryName")
def repository_name(self) -> Optional[str]:
"""
Repository name
"""
return pulumi.get(self, "repository_name")
@property
@pulumi.getter(name="rootFolder")
def root_folder(self) -> Optional[str]:
"""
Root folder to use in the repository
"""
return pulumi.get(self, "root_folder")
@property
@pulumi.getter(name="tenantId")
def tenant_id(self) -> Optional[str]:
"""
The VSTS tenant ID
"""
return pulumi.get(self, "tenant_id")
@property
@pulumi.getter
def type(self) -> Optional[str]:
"""
Type of workspace repositoryID configuration. Example WorkspaceVSTSConfiguration, WorkspaceGitHubConfiguration
"""
return pulumi.get(self, "type")
| [
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]
| |
aab77ba67f881e2373fa713db42e7c8c1dc80b8d | 169e75df163bb311198562d286d37aad14677101 | /tensorflow/tensorflow/contrib/all_reduce/python/all_reduce_test.py | b3f5d92259df8475b205110dd3f0cee1cb5bde6f | [
"Apache-2.0"
]
| permissive | zylo117/tensorflow-gpu-macosx | e553d17b769c67dfda0440df8ac1314405e4a10a | 181bc2b37aa8a3eeb11a942d8f330b04abc804b3 | refs/heads/master | 2022-10-19T21:35:18.148271 | 2020-10-15T02:33:20 | 2020-10-15T02:33:20 | 134,240,831 | 116 | 26 | Apache-2.0 | 2022-10-04T23:36:22 | 2018-05-21T08:29:12 | C++ | UTF-8 | Python | false | false | 10,443 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for tensorflow.contrib.all_reduce.python..all_reduce."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import numpy as np
from tensorflow.contrib.all_reduce.python import all_reduce as ar
from tensorflow.core.framework import types_pb2
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import state_ops
from tensorflow.python.platform import test
from tensorflow.python.platform import tf_logging
class AllReduceTest(test_util.TensorFlowTestCase):
def testFlattenTensorsShapesDefined(self):
x = array_ops.placeholder(types_pb2.DT_FLOAT, [None])
with self.assertRaisesRegexp(ValueError,
"must have statically known shape"):
ar._flatten_tensors([x, x])
def testRingPermutations(self):
# 0 devices
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 0, [])
self.assertEqual(pred_by_c_d, [])
self.assertEqual(rank_by_c_d, [])
# 1 worker, 1 subchunk cases
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 1, [0])
self.assertEqual(pred_by_c_d, [[0]])
self.assertEqual(rank_by_c_d, [[0]])
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 1, [0, 1, 2])
self.assertEqual(pred_by_c_d, [[2, 0, 1]])
self.assertEqual(rank_by_c_d, [[0, 1, 2]])
# multiple workers, 1 subchunk cases
pred_by_c_d, rank_by_c_d = ar._ring_permutations(2, 1, [0, 1, 2])
self.assertEqual(pred_by_c_d, [[5, 0, 1, 2, 3, 4]])
self.assertEqual(rank_by_c_d, [[0, 1, 2, 3, 4, 5]])
pred_by_c_d, rank_by_c_d = ar._ring_permutations(3, 1, [0, 1, 2])
self.assertEqual(pred_by_c_d, [[8, 0, 1, 2, 3, 4, 5, 6, 7]])
self.assertEqual(rank_by_c_d, [[0, 1, 2, 3, 4, 5, 6, 7, 8]])
pred_by_c_d, rank_by_c_d = ar._ring_permutations(2, 1, [2, 1, 0])
self.assertEqual(pred_by_c_d, [[1, 2, 3, 4, 5, 0]])
self.assertEqual(rank_by_c_d, [[2, 1, 0, 5, 4, 3]])
# 1 worker, multiple subchunk cases
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 2, [0, 1, 2, 3])
self.assertEqual(pred_by_c_d, [[3, 0, 1, 2], [3, 0, 1, 2]])
self.assertEqual(rank_by_c_d, [[0, 1, 2, 3], [2, 3, 0, 1]])
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 4, [0, 1, 2, 3])
self.assertEqual(pred_by_c_d, [[3, 0, 1, 2], [3, 0, 1, 2],
[3, 0, 1, 2], [3, 0, 1, 2]])
self.assertEqual(rank_by_c_d, [[0, 1, 2, 3], [3, 0, 1, 2],
[2, 3, 0, 1], [1, 2, 3, 0]])
# multiple worker, multiple subchunk cases
pred_by_c_d, rank_by_c_d = ar._ring_permutations(2, 2, [0, 1, 2, 3])
self.assertEqual(pred_by_c_d, [[7, 0, 1, 2, 3, 4, 5, 6],
[3, 0, 5, 2, 7, 4, 1, 6]])
self.assertEqual(rank_by_c_d, [[0, 1, 2, 3, 4, 5, 6, 7],
[2, 3, 0, 1, 6, 7, 4, 5]])
pred_by_c_d, rank_by_c_d = ar._ring_permutations(2, 2, [0, 3, 2, 1])
self.assertEqual(pred_by_c_d, [[5, 2, 3, 0, 1, 6, 7, 4],
[1, 2, 7, 0, 5, 6, 3, 4]])
self.assertEqual(rank_by_c_d, [[0, 3, 2, 1, 4, 7, 6, 5],
[2, 1, 0, 3, 6, 5, 4, 7]])
def _buildInput(self, num_workers, num_gpus):
t8 = constant_op.constant(
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
types_pb2.DT_FLOAT)
input_tensors = []
device_names = []
for w in range(0, num_workers):
for d in range(0, num_gpus):
dn = "/replica:0/task:%d/device:GPU:%d" % (w, d % num_gpus)
device_names.append(dn)
with ops.device(dn):
input_tensors.append(array_ops.identity(t8))
return input_tensors, device_names
def testBuildRingGatherPassStructure(self):
# 1 worker, 1 device
input_tensors, device_names = self._buildInput(1, 1)
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 1, [0])
output_tensors = ar._build_ring_gather(input_tensors, device_names, 1,
pred_by_c_d, rank_by_c_d,
math_ops.add)
self.assertEqual(output_tensors, input_tensors)
# 1 worker, 4 devices, 2 subchunks
input_tensors, device_names = self._buildInput(1, 4)
pred_by_c_d, rank_by_c_d = ar._ring_permutations(1, 2, [0, 1, 2, 3])
output_tensors, pad_len = ar._build_ring_gather(
input_tensors, device_names, 2, pred_by_c_d, rank_by_c_d, math_ops.add)
self.assertEqual(0, pad_len)
# same number outputs as inputs
self.assertEqual(len(output_tensors), len(input_tensors))
num_chunks = 2 * len(input_tensors)
tlen = input_tensors[0].shape[0].value
for otl in output_tensors:
self.assertEqual(len(otl), num_chunks)
for ot in otl:
self.assertEqual(ot.shape, [tlen/num_chunks])
def _buildInitialVars(self, shape, dev_list):
values = []
num_devices = len(dev_list)
dim = np.prod(shape) if shape else 1
for d in range(0, num_devices):
with ops.device(dev_list[d]):
npt = np.zeros(shape).astype(np.float32)
alias = np.frombuffer(npt.data, dtype=np.float32)
for i in range(0, dim):
alias[i] = i + 0.01 * d
var = state_ops.variable_op(shape, types_pb2.DT_FLOAT)
state_ops.init_variable(var, npt).op.run()
values.append(var)
return values
# pylint: disable=g-long-lambda
def _buildRing(self, num_workers, num_gpus, subdiv):
gpu_perm = range(0, num_gpus)
return lambda x, un_op: ar.build_ring_all_reduce(
x, num_workers, subdiv, gpu_perm, math_ops.add, un_op)
def _testAllReduce(self, num_workers, num_gpus, shape, build_f):
# Use local CPU as device for all inputs.
num_devices = num_workers * num_gpus
dev_list = ["/replica:0/task:0/device:CPU:0"
for _ in range(num_devices)]
with self.test_session():
input_tensors = self._buildInitialVars(shape, dev_list)
un_op = lambda x: math_ops.div(
x, constant_op.constant(num_devices, dtype=types_pb2.DT_FLOAT))
simple_sum = math_ops.add_n(input_tensors)
simple_sum.op.run()
output_tensors = build_f(input_tensors, un_op)
sum_reduced = math_ops.add_n(output_tensors)
sum_reduced.op.run()
self.assertAllClose(sum_reduced.eval(), simple_sum.eval())
def _testRingAllReduce(self, num_workers, num_gpus, shape, subdiv):
start_time = time.time()
build_f = self._buildRing(num_workers, num_gpus, subdiv)
self._testAllReduce(num_workers, num_gpus, shape, build_f)
elapsed = time.time() - start_time
tf_logging.info("RingAllReduce num_workers=%d num_gpus=%d shape=%s "
"subdiv=%d elapsed=%f" %
(num_workers, num_gpus, shape, subdiv, elapsed))
def testRingAllReduce(self):
self._testRingAllReduce(1, 2, [], 1)
self._testRingAllReduce(1, 2, [8], 1)
self._testRingAllReduce(1, 2, [4, 4], 1)
self._testRingAllReduce(6, 1, [8], 1)
self._testRingAllReduce(1, 8, [32], 1)
self._testRingAllReduce(1, 8, [120], 1)
self._testRingAllReduce(2, 8, [7, 13], 1)
self._testRingAllReduce(2, 8, [8, 8], 2)
self._testRingAllReduce(2, 8, [8, 8], 4)
# TODO(tucker): The following test is surprisingly slow.
# Diagnose and fix before re-enabling.
# self._testRingAllReduce(4, 8, [8, 8, 2], 4)
def _buildShuffle(self, num_workers, num_gpus, num_shards):
# Use local CPU for all shuffle shards
gather_devices = ["/replica:0/task:0/device:CPU:0"
for _ in range(num_shards)]
return lambda x, un_op: ar.build_shuffle_all_reduce(
x, gather_devices, math_ops.add_n, un_op)
def _testShuffleAllReduce(self, num_workers, num_gpus, shape, num_shards):
start_time = time.time()
build_f = self._buildShuffle(num_workers, num_gpus, num_shards)
self._testAllReduce(num_workers, num_gpus, shape, build_f)
elapsed = time.time() - start_time
tf_logging.info("ShuffleAllReduce num_workers=%d num_gpus=%d shape=%s "
"elapsed=%f" % (num_workers, num_gpus, shape, elapsed))
def testShuffleAllReduce(self):
self._testShuffleAllReduce(1, 2, [], 1)
self._testShuffleAllReduce(1, 2, [8], 1)
self._testShuffleAllReduce(1, 2, [4, 4], 1)
self._testShuffleAllReduce(1, 8, [32], 1)
self._testShuffleAllReduce(1, 8, [120], 1)
self._testShuffleAllReduce(2, 8, [7, 13], 3)
self._testShuffleAllReduce(2, 8, [8, 8], 2)
self._testShuffleAllReduce(2, 8, [8, 8], 4)
self._testShuffleAllReduce(4, 8, [8, 8, 2], 4)
def _buildRecursiveHD(self, num_workers, num_gpus):
return lambda x, un_op: ar.build_recursive_hd_all_reduce(
x, math_ops.add, un_op)
# pylint: enable=g-long-lambda
def _testRecursiveHDAllReduce(self, num_workers, num_gpus, shape):
start_time = time.time()
build_f = self._buildRecursiveHD(num_workers, num_gpus)
self._testAllReduce(num_workers, num_gpus, shape, build_f)
elapsed = time.time() - start_time
tf_logging.info("RecursiveHDAllReduce num_workers=%d num_gpus=%d "
"shape=%s elapsed=%f" %
(num_workers, num_gpus, shape, elapsed))
def testRecursiveHDAllReduce(self):
self._testRecursiveHDAllReduce(1, 2, [8])
self._testRecursiveHDAllReduce(1, 2, [4, 4])
self._testRecursiveHDAllReduce(1, 8, [32])
self._testRecursiveHDAllReduce(1, 8, [120])
self._testRecursiveHDAllReduce(2, 8, [8, 8])
self._testRecursiveHDAllReduce(4, 8, [8, 8, 2])
if __name__ == "__main__":
test.main()
| [
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]
| |
81876856328d10a73c63fd33479e2d04f4a2bc80 | 58cf4e5a576b2baf7755ae19d410bf8afc2f3709 | /leetcode-solutions/P1498.Number_of_subsequences_satisfy_sum.py | d1a47cb9eb60a1fc9beae07105be0146554ee857 | []
| no_license | srihariprasad-r/leet-code | 78284beac34a4d84dde9f8cd36503496b618fdf7 | fc4f1455bafd1496eb5469a509be8638b75155c1 | refs/heads/master | 2023-08-16T20:24:09.474931 | 2023-08-07T14:23:36 | 2023-08-07T14:23:36 | 231,920,275 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | class Solution(object):
def numSubseq(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
nums.sort()
mod = 10**9+7
n = len(nums)
l = ans = 0
r = n - 1
while l <= r:
if nums[l] + nums[r] <= target:
ans += pow(2, r - l, mod)
l += 1
else:
r -= 1
return ans % mod
| [
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]
| |
9f95a27bc89138cd60a4c119c7e5cb81011fd2cc | 17b0f34996ed63d14fb3ae2b09e3de866740a27e | /website/settings.py | a0a6ce9dc331e64a2e3ffe1d08f441cb34c00567 | [
"MIT"
]
| permissive | Alexmhack/django_blog | 6ca47d4d294c1886eaa19ee866395144f1d2bce7 | ffb08983ca0aff2fca15961c64168bbb8d55311b | refs/heads/master | 2020-03-28T01:55:32.939171 | 2018-09-13T13:05:55 | 2018-09-13T13:05:55 | 147,532,712 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,335 | py | """
Django settings for website project.
Generated by 'django-admin startproject' using Django 2.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '1g61cdt=p!#bl-4r&8aooqx72aiang6+=)_3#bva)4yd0a@6^f'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'posts',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'website.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(BASE_DIR, 'templates')],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'website.wsgi.application'
# Database
# https://docs.djangoproject.com/en/2.1/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.1/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.1/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = [
os.path.join(BASE_DIR, 'static')
]
STATIC_ROOT = os.path.join(os.path.dirname(BASE_DIR), 'static_cdn')
MEDIA_ROOT = os.path.join(os.path.dirname(BASE_DIR), 'media_cdn')
| [
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]
| |
35416f386997d9306cdc80e0b9d426b66dd86c93 | 53784d3746eccb6d8fca540be9087a12f3713d1c | /res/packages/scripts/scripts/common/Lib/distutils/tests/test_install.py | 992b281d3dd630b90577a87c6e7387582f4872a4 | []
| no_license | webiumsk/WOT-0.9.17.1-CT | 736666d53cbd0da6745b970e90a8bac6ea80813d | d7c3cf340ae40318933e7205bf9a17c7e53bac52 | refs/heads/master | 2021-01-09T06:00:33.898009 | 2017-02-03T21:40:17 | 2017-02-03T21:40:17 | 80,870,824 | 0 | 0 | null | null | null | null | WINDOWS-1250 | Python | false | false | 7,714 | py | # 2017.02.03 21:58:16 Střední Evropa (běžný čas)
# Embedded file name: scripts/common/Lib/distutils/tests/test_install.py
"""Tests for distutils.command.install."""
import os
import sys
import unittest
import site
from test.test_support import captured_stdout, run_unittest
from distutils import sysconfig
from distutils.command.install import install
from distutils.command import install as install_module
from distutils.command.build_ext import build_ext
from distutils.command.install import INSTALL_SCHEMES
from distutils.core import Distribution
from distutils.errors import DistutilsOptionError
from distutils.extension import Extension
from distutils.tests import support
def _make_ext_name(modname):
if os.name == 'nt' and sys.executable.endswith('_d.exe'):
modname += '_d'
return modname + sysconfig.get_config_var('SO')
class InstallTestCase(support.TempdirManager, support.LoggingSilencer, unittest.TestCase):
def test_home_installation_scheme(self):
builddir = self.mkdtemp()
destination = os.path.join(builddir, 'installation')
dist = Distribution({'name': 'foopkg'})
dist.script_name = os.path.join(builddir, 'setup.py')
dist.command_obj['build'] = support.DummyCommand(build_base=builddir, build_lib=os.path.join(builddir, 'lib'))
cmd = install(dist)
cmd.home = destination
cmd.ensure_finalized()
self.assertEqual(cmd.install_base, destination)
self.assertEqual(cmd.install_platbase, destination)
def check_path(got, expected):
got = os.path.normpath(got)
expected = os.path.normpath(expected)
self.assertEqual(got, expected)
libdir = os.path.join(destination, 'lib', 'python')
check_path(cmd.install_lib, libdir)
check_path(cmd.install_platlib, libdir)
check_path(cmd.install_purelib, libdir)
check_path(cmd.install_headers, os.path.join(destination, 'include', 'python', 'foopkg'))
check_path(cmd.install_scripts, os.path.join(destination, 'bin'))
check_path(cmd.install_data, destination)
@unittest.skipIf(sys.version < '2.6', 'site.USER_SITE was introduced in 2.6')
def test_user_site(self):
self.old_user_base = site.USER_BASE
self.old_user_site = site.USER_SITE
self.tmpdir = self.mkdtemp()
self.user_base = os.path.join(self.tmpdir, 'B')
self.user_site = os.path.join(self.tmpdir, 'S')
site.USER_BASE = self.user_base
site.USER_SITE = self.user_site
install_module.USER_BASE = self.user_base
install_module.USER_SITE = self.user_site
def _expanduser(path):
return self.tmpdir
self.old_expand = os.path.expanduser
os.path.expanduser = _expanduser
def cleanup():
site.USER_BASE = self.old_user_base
site.USER_SITE = self.old_user_site
install_module.USER_BASE = self.old_user_base
install_module.USER_SITE = self.old_user_site
os.path.expanduser = self.old_expand
self.addCleanup(cleanup)
for key in ('nt_user', 'unix_user', 'os2_home'):
self.assertIn(key, INSTALL_SCHEMES)
dist = Distribution({'name': 'xx'})
cmd = install(dist)
options = [ name for name, short, lable in cmd.user_options ]
self.assertIn('user', options)
cmd.user = 1
self.assertFalse(os.path.exists(self.user_base))
self.assertFalse(os.path.exists(self.user_site))
cmd.ensure_finalized()
self.assertTrue(os.path.exists(self.user_base))
self.assertTrue(os.path.exists(self.user_site))
self.assertIn('userbase', cmd.config_vars)
self.assertIn('usersite', cmd.config_vars)
def test_handle_extra_path(self):
dist = Distribution({'name': 'xx',
'extra_path': 'path,dirs'})
cmd = install(dist)
cmd.handle_extra_path()
self.assertEqual(cmd.extra_path, ['path', 'dirs'])
self.assertEqual(cmd.extra_dirs, 'dirs')
self.assertEqual(cmd.path_file, 'path')
cmd.extra_path = ['path']
cmd.handle_extra_path()
self.assertEqual(cmd.extra_path, ['path'])
self.assertEqual(cmd.extra_dirs, 'path')
self.assertEqual(cmd.path_file, 'path')
dist.extra_path = cmd.extra_path = None
cmd.handle_extra_path()
self.assertEqual(cmd.extra_path, None)
self.assertEqual(cmd.extra_dirs, '')
self.assertEqual(cmd.path_file, None)
cmd.extra_path = 'path,dirs,again'
self.assertRaises(DistutilsOptionError, cmd.handle_extra_path)
return
def test_finalize_options(self):
dist = Distribution({'name': 'xx'})
cmd = install(dist)
cmd.prefix = 'prefix'
cmd.install_base = 'base'
self.assertRaises(DistutilsOptionError, cmd.finalize_options)
cmd.install_base = None
cmd.home = 'home'
self.assertRaises(DistutilsOptionError, cmd.finalize_options)
cmd.prefix = None
cmd.user = 'user'
self.assertRaises(DistutilsOptionError, cmd.finalize_options)
return
def test_record(self):
install_dir = self.mkdtemp()
project_dir, dist = self.create_dist(py_modules=['hello'], scripts=['sayhi'])
os.chdir(project_dir)
self.write_file('hello.py', "def main(): print 'o hai'")
self.write_file('sayhi', 'from hello import main; main()')
cmd = install(dist)
dist.command_obj['install'] = cmd
cmd.root = install_dir
cmd.record = os.path.join(project_dir, 'filelist')
cmd.ensure_finalized()
cmd.run()
f = open(cmd.record)
try:
content = f.read()
finally:
f.close()
found = [ os.path.basename(line) for line in content.splitlines() ]
expected = ['hello.py',
'hello.pyc',
'sayhi',
'UNKNOWN-0.0.0-py%s.%s.egg-info' % sys.version_info[:2]]
self.assertEqual(found, expected)
def test_record_extensions(self):
install_dir = self.mkdtemp()
project_dir, dist = self.create_dist(ext_modules=[Extension('xx', ['xxmodule.c'])])
os.chdir(project_dir)
support.copy_xxmodule_c(project_dir)
buildextcmd = build_ext(dist)
support.fixup_build_ext(buildextcmd)
buildextcmd.ensure_finalized()
cmd = install(dist)
dist.command_obj['install'] = cmd
dist.command_obj['build_ext'] = buildextcmd
cmd.root = install_dir
cmd.record = os.path.join(project_dir, 'filelist')
cmd.ensure_finalized()
cmd.run()
f = open(cmd.record)
try:
content = f.read()
finally:
f.close()
found = [ os.path.basename(line) for line in content.splitlines() ]
expected = [_make_ext_name('xx'), 'UNKNOWN-0.0.0-py%s.%s.egg-info' % sys.version_info[:2]]
self.assertEqual(found, expected)
def test_debug_mode(self):
old_logs_len = len(self.logs)
install_module.DEBUG = True
try:
with captured_stdout():
self.test_record()
finally:
install_module.DEBUG = False
self.assertGreater(len(self.logs), old_logs_len)
def test_suite():
return unittest.makeSuite(InstallTestCase)
if __name__ == '__main__':
run_unittest(test_suite())
# okay decompyling c:\Users\PC\wotsources\files\originals\res\packages\scripts\scripts\common\Lib\distutils\tests\test_install.pyc
# decompiled 1 files: 1 okay, 0 failed, 0 verify failed
# 2017.02.03 21:58:16 Střední Evropa (běžný čas)
| [
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]
| |
620c6c6893445cae1a01ae8f012ca7b7c9100d81 | 87d0de6a06451d7aa561b72d908d06e68074f650 | /core/arxiv/submission/services/classifier/tests/tests.py | 9e66950fe6b95174cabeec5454cdb7de7e8517cc | [
"MIT"
]
| permissive | arXiv/arxiv-submission-core | 3e79085ee408fd83b4dd4c0c1e8ccc53dd282230 | 6077ce4e0685d67ce7010800083a898857158112 | refs/heads/develop | 2022-01-21T02:11:56.384920 | 2020-07-31T18:16:17 | 2020-07-31T18:16:17 | 106,854,828 | 14 | 8 | MIT | 2022-01-06T22:29:31 | 2017-10-13T17:36:51 | Python | UTF-8 | Python | false | false | 8,910 | py | """Tests for classic classifier service integration."""
import os
import json
from unittest import TestCase, mock
from flask import Flask
from arxiv.integration.api import status, exceptions
from .. import classifier
DATA_PATH = os.path.join(os.path.split(os.path.abspath(__file__))[0], "data")
SAMPLE_PATH = os.path.join(DATA_PATH, "sampleResponse.json")
LINENOS_PATH = os.path.join(DATA_PATH, "linenos.json")
SAMPLE_FAILED_PATH = os.path.join(DATA_PATH, 'sampleFailedCyrillic.json')
class TestClassifier(TestCase):
"""Tests for :class:`classifier.Classifier`."""
def setUp(self):
"""Create an app for context."""
self.app = Flask('test')
self.app.config.update({
'CLASSIFIER_ENDPOINT': 'http://foohost:1234',
'CLASSIFIER_VERIFY': False
})
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_with_service_unavailable(self, mock_Session):
"""The classifier service is unavailable."""
mock_Session.return_value = mock.MagicMock(
post=mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.SERVICE_UNAVAILABLE
)
)
)
with self.app.app_context():
cl = classifier.Classifier.current_session()
with self.assertRaises(exceptions.RequestFailed):
cl.classify(b'somecontent')
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_cannot_classify(self, mock_Session):
"""The classifier returns without classification suggestions."""
with open(SAMPLE_FAILED_PATH) as f:
data = json.load(f)
mock_Session.return_value = mock.MagicMock(
post=mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.OK,
json=mock.MagicMock(return_value=data)
)
)
)
with self.app.app_context():
cl = classifier.Classifier.current_session()
suggestions, flags, counts = cl.classify(b'foo')
self.assertEqual(len(suggestions), 0, "There are no suggestions")
self.assertEqual(len(flags), 4, "There are four flags")
self.assertEqual(counts.chars, 50475)
self.assertEqual(counts.pages, 8)
self.assertEqual(counts.stops, 9)
self.assertEqual(counts.words, 4799)
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_returns_suggestions(self, mock_Session):
"""The classifier returns classification suggestions."""
with open(SAMPLE_PATH) as f:
data = json.load(f)
mock_Session.return_value = mock.MagicMock(
post=mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.OK,
json=mock.MagicMock(return_value=data)
)
)
)
expected = {
'physics.comp-ph': 0.47,
'cs.MS': 0.47,
'math.NA': 0.46
}
with self.app.app_context():
cl = classifier.Classifier.current_session()
suggestions, flags, counts = cl.classify(b'foo')
self.assertEqual(len(suggestions), 3, "There are three suggestions")
for suggestion in suggestions:
self.assertEqual(round(suggestion.probability, 2),
expected[suggestion.category])
self.assertEqual(len(flags), 0, "There are no flags")
self.assertEqual(counts.chars, 15107)
self.assertEqual(counts.pages, 12)
self.assertEqual(counts.stops, 804)
self.assertEqual(counts.words, 2860)
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_withlinenos(self, mock_Session):
"""The classifier returns classification suggestions."""
with open(LINENOS_PATH) as f:
data = json.load(f)
mock_Session.return_value = mock.MagicMock(
post=mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.OK,
json=mock.MagicMock(return_value=data)
)
)
)
expected = {
'astro-ph.SR': 0.77,
'astro-ph.GA': 0.7,
'astro-ph.EP': 0.69,
'astro-ph.HE': 0.57,
'astro-ph.IM': 0.57
}
with self.app.app_context():
cl = classifier.Classifier.current_session()
suggestions, flags, counts = cl.classify(b'foo')
self.assertEqual(len(suggestions), 5, "There are five suggestions")
for suggestion in suggestions:
self.assertEqual(
round(suggestion.probability, 2),
expected[suggestion.category],
"Expected probability of %s for %s" %
(expected[suggestion.category], suggestion.category)
)
self.assertEqual(len(flags), 2, "There are two flags")
self.assertIn("%stop", [flag.key for flag in flags])
self.assertIn("linenos", [flag.key for flag in flags])
self.assertEqual(counts.chars, 125436)
self.assertEqual(counts.pages, 30)
self.assertEqual(counts.stops, 3774)
self.assertEqual(counts.words, 34211)
class TestClassifierModule(TestCase):
"""Tests for :mod:`classifier`."""
def setUp(self):
"""Create an app for context."""
self.app = Flask('test')
self.app.config.update({
'CLASSIFIER_ENDPOINT': 'http://foohost:1234',
'CLASSIFIER_VERIFY': False
})
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_unavailable(self, mock_Session):
"""The classifier service is unavailable."""
mock_post = mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.SERVICE_UNAVAILABLE
)
)
mock_Session.return_value = mock.MagicMock(post=mock_post)
with self.app.app_context():
cl = classifier.Classifier.current_session()
with self.assertRaises(exceptions.RequestFailed):
cl.classify(b'somecontent')
endpoint = f'http://foohost:1234/'
self.assertEqual(mock_post.call_args[0][0], endpoint)
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_cannot_classify(self, mock_Session):
"""The classifier returns without classification suggestions."""
with open(SAMPLE_FAILED_PATH) as f:
data = json.load(f)
mock_post = mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.OK,
json=mock.MagicMock(return_value=data)
)
)
mock_Session.return_value = mock.MagicMock(post=mock_post)
with self.app.app_context():
cl = classifier.Classifier.current_session()
suggestions, flags, counts = cl.classify(b'foo')
self.assertEqual(len(suggestions), 0, "There are no suggestions")
self.assertEqual(len(flags), 4, "There are four flags")
self.assertEqual(counts.chars, 50475)
self.assertEqual(counts.pages, 8)
self.assertEqual(counts.stops, 9)
self.assertEqual(counts.words, 4799)
endpoint = f'http://foohost:1234/'
self.assertEqual(mock_post.call_args[0][0], endpoint)
@mock.patch('arxiv.integration.api.service.requests.Session')
def test_classifier_returns_suggestions(self, mock_Session):
"""The classifier returns classification suggestions."""
with open(SAMPLE_PATH) as f:
data = json.load(f)
mock_post = mock.MagicMock(
return_value=mock.MagicMock(
status_code=status.OK,
json=mock.MagicMock(return_value=data)
)
)
mock_Session.return_value = mock.MagicMock(post=mock_post)
expected = {
'physics.comp-ph': 0.47,
'cs.MS': 0.47,
'math.NA': 0.46
}
with self.app.app_context():
cl = classifier.Classifier.current_session()
suggestions, flags, counts = cl.classify(b'foo')
self.assertEqual(len(suggestions), 3, "There are three suggestions")
for suggestion in suggestions:
self.assertEqual(round(suggestion.probability, 2),
expected[suggestion.category])
self.assertEqual(len(flags), 0, "There are no flags")
self.assertEqual(counts.chars, 15107)
self.assertEqual(counts.pages, 12)
self.assertEqual(counts.stops, 804)
self.assertEqual(counts.words, 2860)
endpoint = f'http://foohost:1234/'
self.assertEqual(mock_post.call_args[0][0], endpoint)
| [
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]
| |
4a1b97ecf31fc70c5c028327969c8e09b80a2cae | 62e58c051128baef9452e7e0eb0b5a83367add26 | /x12/3070/205003070.py | 3456808fc041576fb61f383fc7f6c51e56317478 | []
| no_license | dougvanhorn/bots-grammars | 2eb6c0a6b5231c14a6faf194b932aa614809076c | 09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d | refs/heads/master | 2021-05-16T12:55:58.022904 | 2019-05-17T15:22:23 | 2019-05-17T15:22:23 | 105,274,633 | 0 | 0 | null | 2017-09-29T13:21:21 | 2017-09-29T13:21:21 | null | UTF-8 | Python | false | false | 1,791 | py | from bots.botsconfig import *
from records003070 import recorddefs
syntax = {
'version' : '00403', #version of ISA to send
'functionalgroup' : 'MN',
}
structure = [
{ID: 'ST', MIN: 1, MAX: 1, LEVEL: [
{ID: 'BGN', MIN: 1, MAX: 1},
{ID: 'TRN', MIN: 0, MAX: 1},
{ID: 'NM1', MIN: 1, MAX: 5, LEVEL: [
{ID: 'N2', MIN: 0, MAX: 2},
{ID: 'N3', MIN: 0, MAX: 2},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'PER', MIN: 0, MAX: 2},
{ID: 'REF', MIN: 0, MAX: 4},
]},
{ID: 'MNC', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'SOM', MIN: 0, MAX: 1},
{ID: 'REF', MIN: 0, MAX: 20},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'INT', MIN: 0, MAX: 2},
{ID: 'PCT', MIN: 0, MAX: 10},
{ID: 'AMT', MIN: 0, MAX: 10},
{ID: 'QTY', MIN: 0, MAX: 6},
{ID: 'YNQ', MIN: 0, MAX: 12},
{ID: 'III', MIN: 0, MAX: 12},
{ID: 'CDI', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'LX', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'VDI', MIN: 0, MAX: 99999},
{ID: 'YNQ', MIN: 0, MAX: 4},
{ID: 'AMT', MIN: 0, MAX: 6},
{ID: 'PCT', MIN: 0, MAX: 6},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'III', MIN: 0, MAX: 12},
]},
]},
{ID: 'IN1', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'IN2', MIN: 0, MAX: 10},
{ID: 'PER', MIN: 0, MAX: 2},
{ID: 'REF', MIN: 0, MAX: 15},
{ID: 'NX1', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'NX2', MIN: 0, MAX: 10},
]},
]},
]},
{ID: 'CTT', MIN: 0, MAX: 1},
{ID: 'SE', MIN: 1, MAX: 1},
]}
]
| [
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]
| |
2111217e5d242a6101b463046e8af164ea271f71 | 4e879e994720100a9354895af2bb9be33b38a42b | /cConsolidation/c_OOP/cm_ClassMethods/110_ClassMethods_002_factoryMethods_example_002.py | 396e108d6539a3d77f23d3f9c9396635d68ffe85 | []
| no_license | pepitogrilho/learning_python | 80314ec97091238ed5cc3ed47422d2e6073a3280 | bbdc78a9a0513c13d991701859bcfe7a8e614a49 | refs/heads/master | 2023-04-09T15:07:08.866721 | 2023-04-02T18:45:47 | 2023-04-02T18:45:47 | 230,527,165 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 651 | py | # -*- coding: utf-8 -*-
"""
- Instance Methods receive the OBJECT as argument
- Class Methods receive the CLASS as argument
- Static Methods don't receive neither the OBJECT, nor the CLASS
Class Methods are called by a class, which is passed to the ...
.... cls parameter
A common use of these are factory
"""
class Vector2D:
def __init__(self, x, y):
if x > 0:
self.x = x
else:
self.x = 0
if y > 0:
self.y = y
else:
self.y = 0
def area(self):
return self.x * self.y
@classmethod
def newVector2D(cls,coord):
return cls(coord, coord)
v01 = Vector2D.newVector2D(4)
print(v01.area()) | [
"[email protected]"
]
| |
a5b47c634aa82aa560d7c99745cdfd77c7fce511 | 400e10dfd9e21ae5092f5184753faa91a9df9277 | /python_structure/객체 미리연산.py | 1808df21a4e0c094ebbb3047219aac426601b9d2 | []
| no_license | MyaGya/Python_Practice | d4aff327a76010603f038bcf4491a14ea51de304 | 0391d1aa6d530f53715c968e5ea6a02cf745fde5 | refs/heads/master | 2023-06-14T07:48:19.998573 | 2021-07-12T05:50:52 | 2021-07-12T05:50:52 | 280,452,168 | 0 | 0 | null | 2021-06-23T13:37:56 | 2020-07-17T14:56:24 | Python | UTF-8 | Python | false | false | 1,205 | py | import time
start = time.time()
print("배열을 만드는 데 걸리는 시간 : ", end=" ")
data = [i for i in range(100000)]
end = time.time()
print(end - start)
start = time.time()
print("배열을 출력하는 데 걸리는 시간 : ", end=" ")
print(data)
end = time.time()
print(end - start)
# map 연산을 걸리는 시간
start = time.time()
print("map 연산 시간 : ", end=" ")
data2 = map(str,data)
end = time.time()
print(data2)
print(end - start)
# 그렇다면 객체 데이터 내부를 모두 바꾸어도 map 연산에는 문제가 없을까?
start = time.time()
print("리스트 값을 일부분 변경시키는 데 걸리는 시간 : ", end=" ")
for i in range(10000):
data[i] = "XXX"
end = time.time()
print(end - start)
start = time.time()
print("원본 데이터를 변경한 후 값을 출력하는 데 걸리는 시간 : ", end=" ")
print(list(data2))
end = time.time()
print(end - start)
# 이로써 원본 데이터가 바뀌면 map리스트가 가리키고 있는 명령어는 바뀐 명령어로 실행됨을 알 수 있다.
# 따라서 따로 원본 데이터의 객체를 저장하는 것이 아닌 포인터 방식으로 가리키고 있음을 알 수 있다.
| [
"[email protected]"
]
| |
aca0869423c75d58481d19ce9e4a5eaed6b7a4dc | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/verbs/_envy.py | 39953a52249af41d6c5335f74ba7d1b427f27fad | [
"MIT"
]
| permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 331 | py |
#calss header
class _ENVY():
def __init__(self,):
self.name = "ENVY"
self.definitions = [u'to wish that you had something that another person has: ']
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.specie = 'verbs'
def run(self, obj1 = [], obj2 = []):
return self.jsondata
| [
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]
| |
9e2cfe03c71b87d255becb0e3bfe46b09662220c | 5b5a49643c75aa43d5a876608383bc825ae1e147 | /tests/lists/p126_test.py | 9ab97710827b437465cca8b9f65d6457d8b608fb | []
| no_license | rscai/python99 | 281d00473c0dc977f58ba7511c5bcb6f38275771 | 3fa0cb7683ec8223259410fb6ea2967e3d0e6f61 | refs/heads/master | 2020-04-12T09:08:49.500799 | 2019-10-06T07:47:17 | 2019-10-06T07:47:17 | 162,393,238 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 236 | py | from python99.lists.p126 import combination
import itertools
def test_combination():
l = [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]
k = 2
actual = combination(l, k)
assert actual == [list(e) for e in itertools.combinations(l, k)]
| [
"[email protected]"
]
| |
10dcd966e82a61e2e0650c4a7fd206471ed57224 | 90cea58e80309d2dff88f73f3a43ed5f943ff97d | /DotProduct.py | 16c5d89db0ce1644b33b46100a69c608f8ce680f | []
| no_license | SaiSujithReddy/CodePython | 0b65c82b0e71dba2bbd4c1aefec4e6cd6fd42341 | 4c05b7909092009afffa4536fd284060d20e462d | refs/heads/master | 2022-02-24T09:21:15.284745 | 2019-10-07T23:36:17 | 2019-10-07T23:36:17 | 106,611,251 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,539 | py | #3 3 1 4 4 2 5 3 1 7 2 6 5 1
def dot_product(list_user_input):
print("inside dot product")
first_vector_length = list_user_input[0]
second_vector_length = list_user_input[1]
print("length of first vector is ",first_vector_length)
if first_vector_length != second_vector_length:
print("Incorrect input of vector lengths")
return
result = 0
first_vector = list_user_input[2:2+(first_vector_length*2)]
second_vector = list_user_input[2+(first_vector_length * 2):]
if len(first_vector) != len(second_vector):
print("Incorrect input of vectors")
return
print("elements of first vector",first_vector)
print("elements of second vector",second_vector)
# for x in range(len(first_vector)):
# for y in range(len(second_vector)):
x=0
y=0
while x < len(first_vector) and y < len(second_vector):
print("x,y are", x,y)
if first_vector[x] == second_vector[y]:
result += first_vector[x+1]*second_vector[y+1]
x += 2
y += 2
print("values after incrementing by 2, x, y",x,y)
elif first_vector[x] < second_vector[y]:
x += 2
else:
y += 2
print(result)
try:
user_input = input('Enter your input: ')
print(user_input)
except ValueError:
print("Error in input")
list_user_input = list(user_input.replace(" ",""))
list_user_input_integer = [int(i) for i in list_user_input]
#find dot product
dot_product(list_user_input_integer) | [
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]
| |
c96653a68b279bac906eb7d31a76f6cc76b3e85d | 184310f55b58e854dc3b6c58599ef99bc4c95739 | /hujian_api/API_service/Templight/Official_02.py | 8fc915dc8e1d6048088919cf706caaf6d96527ac | []
| no_license | tanjijun1/Python_API | c8585821a627c399fea1ab31bb024be6b82dd3ab | 3c4771875870ffe425d2d39fc28a50449b1752f2 | refs/heads/master | 2023-01-07T23:30:30.284433 | 2020-11-11T08:43:10 | 2020-11-11T08:43:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,546 | py | import pytest
import allure
import requests
import json
import time
from Templight import GetMysqlData
from Templight import GetMysqlDataSeller
from Common import Post
from Common import Get
from Common import Assert
from Common import Consts
class Official_01:
#官网留言
#type--string反馈类型, feedback/advice/other
def Off_01(self,userId):
sessionX = requests.session()
post_req = Post.Post()
ass = Assert.Assertions()
url = 'http://172.16.2.101:3000/v1/site/add_feedback'
params = {'name':'胡健','contact':'13418483933','content':'吃饭了没?','userId':1,'type':'feedback','mobileModel':'CL001','appVersion':'0.0.1','mobileOSVersion':'10.0.2','deviceModel':'360','images':'https://zhiyundata.oss-cn-shenzhen.aliyuncs.com/zyplay/site_feedback/2018-10-24-11:53:05.jpg'}
params['userId'] = userId
res = post_req.post_model_b(sessionX, url, params)
print(res)
resCode = res['code']
resText = res['text']
assert ass.assert_code(resCode, 200)
assert ass.assert_in_text(resText, '成功')
Consts.RESULT_LIST.append('True')
#官网订阅
#手机, 邮箱手机二选一
def Off_02(self):
sessionX = requests.session()
post_req = Post.Post()
ass = Assert.Assertions()
url = 'http://172.16.2.101:3000/v1/site/add_followmail'
params = {'mobile':'13418483933', 'nickname':'hj'}
res = post_req.post_model_b(sessionX, url, params)
print(res)
resCode = res['code']
resText = res['text']
assert ass.assert_code(resCode, 200)
assert ass.assert_in_text(resText, '成功')
Consts.RESULT_LIST.append('True')
#外链点击日志
def Off_03(self,userId,linkId):
sessionX = requests.session()
post_req = Post.Post()
ass = Assert.Assertions()
url = 'http://172.16.2.101:3000/v1/site/add_link_click_log'
params = { 'linkId':1, 'token':'12134567890121345678901213456789012'}
data = GetMysqlData.GetMysqlData()
tokenData = data.getTokenByUserId(userId)
params['token'] = tokenData
params['linkId'] = linkId
res = post_req.post_model_b(sessionX, url, params)
print(res)
resCode = res['code']
resText = res['text']
assert ass.assert_code(resCode, 200)
assert ass.assert_in_text(resText, '成功')
Consts.RESULT_LIST.append('True')
if __name__ == '__main__':
a = Official_02()
a.Off_03()
| [
"[email protected]"
]
| |
7f62a03f77d18d0c38b6ffa63fcc0f1181324bce | 0c049d4be711ec3d0bc9d37890ea3e79409322fd | /teseoliv3f.py | ef4d95b3709ba2b0d9ad5b7e43dc3101fe33cd7f | []
| no_license | zerynth/lib-stm-teseoliv3f | 216a94b15ae7ee4c248fd7cebbd7923cc5ed9316 | f8f553345c651d4771955851dd9329928159874a | refs/heads/master | 2021-06-13T11:04:56.265590 | 2020-09-24T15:42:00 | 2020-09-24T15:42:00 | 195,260,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,049 | py | """
.. module:: teseoliv3f
*****************
TeseoLiv3F Module
*****************
This module implements the Zerynth driver for the STM Teseo Liv3F GNSS chip (`Product page <https://www.st.com/en/positioning/teseo-liv3f.html>`_).
The following functionalities are implemented:
* retrieve the current location fix if present
* retrieve the current UTC time
The driver starts a background thread continuously tracking the last available location fix. The frequency of fixes can be customized.
The driver support serial mode only.
Location fixes are obtained by parsing NMEA sentences of type RMC and GGA. Obtaining a fix or UTC time are thread safe operations.
"""
import streams
import threading
import timers
SERIAL=0
I2C=1
debug = False
def print_d(*args):
if debug:
print(*args)
_alive = 0
_except = 0
class TeseoLiv3F():
"""
.. class:: Teseo(ifc, mode=SERIAL, baud=9600,clock=400000, addr=0x00)
Creates an intance of TeseoLiv3F.
:param ifc: interface used. One of SERIAL0, SERIAL1, ...
:param mode: one of SERIAL or I2C. Only SERIAL mode supported at the moment.
:param baud: serial speed
:param clock: I2C clock frequency (not supported)
:param addr: I2C address (not supported)
Example: ::
from teseoliv3f import TeseoLiv3F
...
gnss = TeseoLiv3F.TeseoLiv3F(SERIAL1)
gnss.start()
mpl.init()
alt = mpl.get_alt()
pres = mpl.get_pres()
"""
def __init__(self,ifc,mode=SERIAL,baud=9600,clock=400000,addr=0x00):
self.mode = mode
self.running=False
self.ifc = ifc
self.baud = baud
self.th = None
self._tm = [0,0,0,0,0,0,0]
self._lat = 0
self._lon = 0
self._spd = 0
self._cog = 0
self._nsat = 0
self._hdop = 0
self._vdop = 0
self._pdop = 0
self._alt = 0
self._cfix = [None]*10
self._time = None
self._fix = None
self._rmc = False
self._gga = False
self._gsa = False
self._utc = False
self._lock = threading.Lock()
def start(self,rstpin=None,rstval=0):
"""
.. method:: start(rstpin=None,rstval=0)
Start the TeseoLiv3F.
:param rstpin: if given, uses :samp:`rstpin` as the reset pin of Teseo Liv3F
:param rstval: the value to move :samp:`rstpin` to
"""
# init rst if needed
if rstpin is not None:
pinMode(rstpin,OUTPUT_PUSHPULL)
digitalWrite(rstpin,rstval)
sleep(100)
if self.mode==SERIAL:
self.drv = streams.serial(self.ifc,baud=self.baud,set_default=False)
else:
raise UnsupportedError
if self.th:
self.running=True
else:
self.th = thread(self._run)
sleep(2000)
def stop(self):
"""
.. method:: stop()
Stop the TeseoLiv3F by putting it into backup mode. It can be restarted only by setting the FORCE_ON pin to high.
Refer to the Teseo Liv3F documentation for details `here <https://www.st.com/resource/en/datasheet/teseo-liv3f.pdf>`_
"""
if self.mode==SERIAL:
self.drv.write("$PMTK225,4*2F\r\n")
else:
raise UnsupportedError
def pause(self):
"""
.. method:: pause()
Stop the Teseo Liv3F by putting it into standby mode. It can be restarted by calling :ref:`resume`.
Refer to the Teseo Liv3F documentation for details `here <https://www.st.com/resource/en/datasheet/teseo-liv3f.pdf>`_
"""
if self.mode==SERIAL:
self.drv.write("$PMTK161,0*28\r\n")
else:
raise UnsupportedError
def resume(self):
"""
.. method:: resume()
Wake up the Teseo Liv3F from standby mode.
Refer to the Teseo Liv3F documentation for details `here <https://www.st.com/resource/en/datasheet/teseo-liv3f.pdf>`_
"""
if self.mode==SERIAL:
self.drv.write("$PMTK101*32\r\n")
else:
raise UnsupportedError
def set_rate(self,rate=1000):
"""
.. method:: set_rate(rate=1000)
Set the frequency for location fix (100-10000 milliseconds is the available range).
"""
msg = "PMTK220,"+str(rate)
crc=ord(msg[0])
for i in range(1,len(msg)):
crc = crc^ord(msg[i])
msg="$"+msg+"*"+hex(crc,"")+"\r\n"
if self.mode==SERIAL:
self.drv.write(msg)
else:
raise UnsupportedError
def fix(self):
"""
.. method:: fix()
Return the current fix or None if no fix is available.
A fix is a tuple with the following elements:
* latitude in decimal format (-89.9999 - 89.9999)
* longitude in decimal format (-179.9999 - 179.9999)
* altitude in meters
* speed in Km/h
* course over ground as degrees from true north
* number of satellites for this fix
* horizontal dilution of precision (0.5 - 99.9)
* vertical dilution of precision (0.5 - 99.9)
* positional dilution of precision (0.5 - 99.9)
* UTC time as a tuple (yyyy,MM,dd,hh,mm,ss,microseconds)
"""
self._lock.acquire()
r = self._fix
self._fix = None
self._lock.release()
return r
def has_fix(self):
"""
.. method:: has_fix()
Return True if a fix is available
"""
self._lock.acquire()
r = self._fix
self._lock.release()
return r is not None
def utc(self):
"""
.. method:: utc()
Return the current UTC time or None if no UTC time is available.
A UTC time is a tuple of (yyyy,MM,dd,hh,mm,ss,microseconds).
UTC time can be wrong if no fix has ever been obtained.
"""
r= None
self._lock.acquire()
if self._time:
r = self._time
self._time = None
self._lock.release()
return r
def has_utc(self):
"""
.. method:: has_utc()
Return True if a UTC time is available
"""
self._lock.acquire()
r = self._time
self._lock.release()
return r is not None
##################### Private
def _set_time(self,tm,dt):
yy = int(dt[4:])
if yy >= 100:
self._tm[0]=yy
if yy >= 80:
self._tm[0]=1900+yy
else:
self._tm[0]=2000+yy
self._tm[1]=int(dt[2:4])
self._tm[2]=int(dt[0:2])
self._tm[3]=int(tm[0:2])
self._tm[4]=int(tm[2:4])
self._tm[5]=int(tm[4:6])
self._tm[6]=int(tm[7:])
self._cfix[-1]=self._tm
self._utc=True
def _set_pos(self,lat,latp,lon,lonp):
m = lat.find('.')-2
self._lat = int(lat[0:m]) + float(lat[m:])/60
m = lon.find('.')-2
self._lon = int(lon[0:m]) + float(lon[m:])/60
if latp=="S":
self._lat = -self._lat
if lonp=="W":
self._lon = -self._lon
self._cfix[0]=self._lat
self._cfix[1]=self._lon
def _set_spd(self,spd):
self._spd = float(spd)*1.852 # knots to km/h
self._cfix[3] = self._spd
def _set_cog(self,cog):
self._cog = float(cog)
self._cfix[4] = self._cog
def _set_hdop(self,hdop):
self._hdop = float(hdop)
self._cfix[6] = self._hdop
def _set_vdop(self,vdop):
self._vdop = float(vdop)
self._cfix[7] = self._vdop
def _set_pdop(self,pdop):
self._pdop = float(pdop)
self._cfix[8] = self._pdop
def _set_alt(self,alt):
self._alt = float(alt)
self._cfix[2] = self._alt
def _set_nsat(self,nsat):
self._nsat = int(nsat)
self._cfix[5] = self._nsat
def _check(self,line):
try:
start = line.find('$')
end = line.find('*')
if start < 0 or end < 0 or end <= start+2:
print_d("TeseoLiv3F invalid line")
return None
crc=0
for ch in line[start+1:end]:
crc = crc^ch
check = int(line[end+1:end+3],16)
if crc == check:
return line[start:end]
print_d("TeseoLiv3F crc failed:",crc,check)
return None
except Exception as e:
print_d("TeseoLiv3F check", e)
return None
def _parse(self,line):
if (line is None) or len(line) < 8:
return
prefix = line[1:3]
cmd = line[3:6]
if cmd == "RMC":
flds = line.split(",")
if len(flds)<13:
return
tm = flds[1]
dt = flds[9]
self._set_time(tm,dt)
dv = flds[2]
if dv!="A":
# no fix
return
self._set_pos(flds[3],flds[4],flds[5],flds[6])
self._set_spd(flds[7])
self._set_cog(flds[8])
self._rmc = True
elif cmd == "GGA":
flds = line.split(",")
if len(flds)<15:
return
if flds[6]!="1":
# no fix
return
self._set_hdop(flds[8])
self._set_nsat(flds[7])
self._set_alt(flds[9])
self._gga = True
elif cmd == "GSA":
flds = line.split(",")
if len(flds)<18:
return
if flds[2]!="3":
# no 3D fix
return
self._set_hdop(flds[16])
self._set_vdop(flds[17])
self._set_pdop(flds[15])
self._gsa = True
else:
pass
if self._utc:
# we have time
self._lock.acquire()
self._time = (self._tm[0],self._tm[1],self._tm[2],self._tm[3],self._tm[4],self._tm[5],self._tm[6])
self._lock.release()
if self._rmc and self._gga:
# we have a fix
if not self._gsa:
# optional data VDOP, PDOP
self._cfix[7] = None
self._cfix[8] = None
self._lock.acquire()
self._fix = (
self._cfix[0],
self._cfix[1],
self._cfix[2],
self._cfix[3],
self._cfix[4],
self._cfix[5],
self._cfix[6],
self._cfix[7],
self._cfix[8],
(self._tm[0],self._tm[1],self._tm[2],self._tm[3],self._tm[4],self._tm[5],self._tm[6])
)
self._rmc = False
self._gga = False
self._gsa = False
self._utc = False
self._lock.release()
def _run(self):
print("TeseoLiv3F running on thread",threading.__rtos_do(8))
global _alive, _except
buffer=bytearray(256)
self.running=True
while True:
try:
if self.running:
line = self.drv.readline(buffer=buffer,size=256)
print_d(">",len(line),line)
line = self._check(line)
self._parse(line)
else:
sleep(1000)
_alive = _alive + 1
except Exception as e:
_except = _except + 1
print("TeseoLiv3F exception!")
print(e)
sleep(500)
| [
"[email protected]"
]
| |
ce7bf343442a329b5af057e2836c930e2a9ca155 | 5d4504fe2a4881d20669d2a19392c7ac0d9b2831 | /Prerequisites/Python27/Lib/site-packages/platformio/maintenance.py | 7894dbdaf15e7900909d73ab9df521f078e6e98c | []
| no_license | lanbing8023/esphome-tools | 5c98f513b768f71742dc68ad68271e22652db9ea | 6b641e2dcb35130432f2409c50e03ff93af5ceec | refs/heads/master | 2020-05-02T13:24:19.744788 | 2019-03-11T02:25:57 | 2019-03-11T02:25:57 | 177,983,108 | 1 | 1 | null | 2019-03-27T11:48:47 | 2019-03-27T11:48:47 | null | UTF-8 | Python | false | false | 12,781 | py | # Copyright (c) 2014-present PlatformIO <[email protected]>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import os
from os import getenv
from os.path import isdir, join
from time import time
import click
import semantic_version
from platformio import __version__, app, exception, telemetry, util
from platformio.commands.lib import lib_update as cmd_lib_update
from platformio.commands.platform import \
platform_install as cmd_platform_install
from platformio.commands.platform import \
platform_uninstall as cmd_platform_uninstall
from platformio.commands.platform import platform_update as cmd_platform_update
from platformio.commands.upgrade import get_latest_version
from platformio.managers.core import update_core_packages
from platformio.managers.lib import LibraryManager
from platformio.managers.platform import PlatformFactory, PlatformManager
def on_platformio_start(ctx, force, caller):
app.set_session_var("command_ctx", ctx)
app.set_session_var("force_option", force)
set_caller(caller)
telemetry.on_command()
if not in_silence(ctx):
after_upgrade(ctx)
def on_platformio_end(ctx, result): # pylint: disable=W0613
if in_silence(ctx):
return
try:
check_platformio_upgrade()
check_internal_updates(ctx, "platforms")
check_internal_updates(ctx, "libraries")
except (exception.InternetIsOffline, exception.GetLatestVersionError,
exception.APIRequestError):
click.secho(
"Failed to check for PlatformIO upgrades. "
"Please check your Internet connection.",
fg="red")
def on_platformio_exception(e):
telemetry.on_exception(e)
def in_silence(ctx=None):
ctx = ctx or app.get_session_var("command_ctx")
if not ctx:
return True
return ctx.args and any([
ctx.args[0] == "debug" and "--interpreter" in " ".join(ctx.args),
ctx.args[0] == "upgrade", "--json-output" in ctx.args,
"--version" in ctx.args
])
def set_caller(caller=None):
if not caller:
if getenv("PLATFORMIO_CALLER"):
caller = getenv("PLATFORMIO_CALLER")
elif getenv("VSCODE_PID") or getenv("VSCODE_NLS_CONFIG"):
caller = "vscode"
elif util.is_container():
if getenv("C9_UID"):
caller = "C9"
elif getenv("USER") == "cabox":
caller = "CA"
elif getenv("CHE_API", getenv("CHE_API_ENDPOINT")):
caller = "Che"
app.set_session_var("caller_id", caller)
class Upgrader(object):
def __init__(self, from_version, to_version):
self.from_version = semantic_version.Version.coerce(
util.pepver_to_semver(from_version))
self.to_version = semantic_version.Version.coerce(
util.pepver_to_semver(to_version))
self._upgraders = [(semantic_version.Version("3.0.0-a.1"),
self._upgrade_to_3_0_0),
(semantic_version.Version("3.0.0-b.11"),
self._upgrade_to_3_0_0b11),
(semantic_version.Version("3.5.0-a.2"),
self._update_dev_platforms)]
def run(self, ctx):
if self.from_version > self.to_version:
return True
result = [True]
for version, callback in self._upgraders:
if self.from_version >= version or self.to_version < version:
continue
result.append(callback(ctx))
return all(result)
@staticmethod
def _upgrade_to_3_0_0(ctx):
# convert custom board configuration
boards_dir = join(util.get_home_dir(), "boards")
if isdir(boards_dir):
for item in os.listdir(boards_dir):
if not item.endswith(".json"):
continue
data = util.load_json(join(boards_dir, item))
if set(["name", "url", "vendor"]) <= set(data.keys()):
continue
os.remove(join(boards_dir, item))
for key, value in data.items():
with open(join(boards_dir, "%s.json" % key), "w") as f:
json.dump(value, f, sort_keys=True, indent=2)
# re-install PlatformIO 2.0 development platforms
installed_platforms = app.get_state_item("installed_platforms", [])
if installed_platforms:
if "espressif" in installed_platforms:
installed_platforms[installed_platforms.index(
"espressif")] = "espressif8266"
ctx.invoke(cmd_platform_install, platforms=installed_platforms)
return True
@staticmethod
def _upgrade_to_3_0_0b11(ctx):
current_platforms = [
m['name'] for m in PlatformManager().get_installed()
]
if "espressif" not in current_platforms:
return True
ctx.invoke(cmd_platform_install, platforms=["espressif8266"])
ctx.invoke(cmd_platform_uninstall, platforms=["espressif"])
return True
@staticmethod
def _update_dev_platforms(ctx):
ctx.invoke(cmd_platform_update)
return True
def after_upgrade(ctx):
terminal_width, _ = click.get_terminal_size()
last_version = app.get_state_item("last_version", "0.0.0")
if last_version == __version__:
return
if last_version == "0.0.0":
app.set_state_item("last_version", __version__)
elif semantic_version.Version.coerce(util.pepver_to_semver(
last_version)) > semantic_version.Version.coerce(
util.pepver_to_semver(__version__)):
click.secho("*" * terminal_width, fg="yellow")
click.secho(
"Obsolete PIO Core v%s is used (previous was %s)" % (__version__,
last_version),
fg="yellow")
click.secho(
"Please remove multiple PIO Cores from a system:", fg="yellow")
click.secho(
"https://docs.platformio.org/page/faq.html"
"#multiple-pio-cores-in-a-system",
fg="cyan")
click.secho("*" * terminal_width, fg="yellow")
return
else:
click.secho("Please wait while upgrading PlatformIO...", fg="yellow")
app.clean_cache()
# Update PlatformIO's Core packages
update_core_packages(silent=True)
u = Upgrader(last_version, __version__)
if u.run(ctx):
app.set_state_item("last_version", __version__)
click.secho(
"PlatformIO has been successfully upgraded to %s!\n" %
__version__,
fg="green")
telemetry.on_event(
category="Auto",
action="Upgrade",
label="%s > %s" % (last_version, __version__))
else:
raise exception.UpgradeError("Auto upgrading...")
click.echo("")
# PlatformIO banner
click.echo("*" * terminal_width)
click.echo(
"If you like %s, please:" % (click.style("PlatformIO", fg="cyan")))
click.echo("- %s us on Twitter to stay up-to-date "
"on the latest project news > %s" %
(click.style("follow", fg="cyan"),
click.style("https://twitter.com/PlatformIO_Org", fg="cyan")))
click.echo(
"- %s it on GitHub > %s" %
(click.style("star", fg="cyan"),
click.style("https://github.com/platformio/platformio", fg="cyan")))
if not getenv("PLATFORMIO_IDE"):
click.echo(
"- %s PlatformIO IDE for IoT development > %s" %
(click.style("try", fg="cyan"),
click.style("https://platformio.org/platformio-ide", fg="cyan")))
if not util.is_ci():
click.echo("- %s us with PlatformIO Plus > %s" % (click.style(
"support", fg="cyan"), click.style(
"https://pioplus.com", fg="cyan")))
click.echo("*" * terminal_width)
click.echo("")
def check_platformio_upgrade():
last_check = app.get_state_item("last_check", {})
interval = int(app.get_setting("check_platformio_interval")) * 3600 * 24
if (time() - interval) < last_check.get("platformio_upgrade", 0):
return
last_check['platformio_upgrade'] = int(time())
app.set_state_item("last_check", last_check)
util.internet_on(raise_exception=True)
# Update PlatformIO's Core packages
update_core_packages(silent=True)
latest_version = get_latest_version()
if semantic_version.Version.coerce(util.pepver_to_semver(
latest_version)) <= semantic_version.Version.coerce(
util.pepver_to_semver(__version__)):
return
terminal_width, _ = click.get_terminal_size()
click.echo("")
click.echo("*" * terminal_width)
click.secho(
"There is a new version %s of PlatformIO available.\n"
"Please upgrade it via `" % latest_version,
fg="yellow",
nl=False)
if getenv("PLATFORMIO_IDE"):
click.secho(
"PlatformIO IDE Menu: Upgrade PlatformIO", fg="cyan", nl=False)
click.secho("`.", fg="yellow")
elif join("Cellar", "platformio") in util.get_source_dir():
click.secho("brew update && brew upgrade", fg="cyan", nl=False)
click.secho("` command.", fg="yellow")
else:
click.secho("platformio upgrade", fg="cyan", nl=False)
click.secho("` or `", fg="yellow", nl=False)
click.secho("pip install -U platformio", fg="cyan", nl=False)
click.secho("` command.", fg="yellow")
click.secho("Changes: ", fg="yellow", nl=False)
click.secho(
"https://docs.platformio.org/en/latest/history.html", fg="cyan")
click.echo("*" * terminal_width)
click.echo("")
def check_internal_updates(ctx, what):
last_check = app.get_state_item("last_check", {})
interval = int(app.get_setting("check_%s_interval" % what)) * 3600 * 24
if (time() - interval) < last_check.get(what + "_update", 0):
return
last_check[what + '_update'] = int(time())
app.set_state_item("last_check", last_check)
util.internet_on(raise_exception=True)
pm = PlatformManager() if what == "platforms" else LibraryManager()
outdated_items = []
for manifest in pm.get_installed():
if manifest['name'] in outdated_items:
continue
conds = [
pm.outdated(manifest['__pkg_dir']), what == "platforms"
and PlatformFactory.newPlatform(
manifest['__pkg_dir']).are_outdated_packages()
]
if any(conds):
outdated_items.append(manifest['name'])
if not outdated_items:
return
terminal_width, _ = click.get_terminal_size()
click.echo("")
click.echo("*" * terminal_width)
click.secho(
"There are the new updates for %s (%s)" % (what,
", ".join(outdated_items)),
fg="yellow")
if not app.get_setting("auto_update_" + what):
click.secho("Please update them via ", fg="yellow", nl=False)
click.secho(
"`platformio %s update`" %
("lib --global" if what == "libraries" else "platform"),
fg="cyan",
nl=False)
click.secho(" command.\n", fg="yellow")
click.secho(
"If you want to manually check for the new versions "
"without updating, please use ",
fg="yellow",
nl=False)
click.secho(
"`platformio %s update --only-check`" %
("lib --global" if what == "libraries" else "platform"),
fg="cyan",
nl=False)
click.secho(" command.", fg="yellow")
else:
click.secho("Please wait while updating %s ..." % what, fg="yellow")
if what == "platforms":
ctx.invoke(cmd_platform_update, platforms=outdated_items)
elif what == "libraries":
ctx.obj = pm
ctx.invoke(cmd_lib_update, libraries=outdated_items)
click.echo()
telemetry.on_event(
category="Auto", action="Update", label=what.title())
click.echo("*" * terminal_width)
click.echo("")
| [
"[email protected]"
]
| |
74d2938a67a1180e479c9ed2344d56807f5469bd | 24fe1f54fee3a3df952ca26cce839cc18124357a | /servicegraph/lib/python2.7/site-packages/acimodel-4.0_3d-py2.7.egg/cobra/modelimpl/isis/isispsnpstatshist1d.py | 9add5cdc355ad8093fd185beab530ccf723aeb5f | []
| no_license | aperiyed/servicegraph-cloudcenter | 4b8dc9e776f6814cf07fe966fbd4a3481d0f45ff | 9eb7975f2f6835e1c0528563a771526896306392 | refs/heads/master | 2023-05-10T17:27:18.022381 | 2020-01-20T09:18:28 | 2020-01-20T09:18:28 | 235,065,676 | 0 | 0 | null | 2023-05-01T21:19:14 | 2020-01-20T09:36:37 | Python | UTF-8 | Python | false | false | 34,228 | py | # coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.mit.meta import StatsClassMeta
from cobra.mit.meta import CounterMeta
from cobra.mit.meta import PropMeta
from cobra.mit.meta import Category
from cobra.mit.meta import SourceRelationMeta
from cobra.mit.meta import NamedSourceRelationMeta
from cobra.mit.meta import TargetRelationMeta
from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory
from cobra.model.category import MoCategory, PropCategory, CounterCategory
from cobra.mit.mo import Mo
# ##################################################
class IsisPsnpStatsHist1d(Mo):
"""
Mo doc not defined in techpub!!!
"""
meta = StatsClassMeta("cobra.model.isis.IsisPsnpStatsHist1d", "ISIS PSNP Packets")
counter = CounterMeta("psnpPktsMiscErr", CounterCategory.COUNTER, "packets", "PSNP Packets with Miscelcsnpeous Error")
counter._propRefs[PropCategory.IMPLICIT_CUMULATIVE] = "psnpPktsMiscErrCum"
counter._propRefs[PropCategory.IMPLICIT_PERIODIC] = "psnpPktsMiscErrPer"
counter._propRefs[PropCategory.IMPLICIT_MIN] = "psnpPktsMiscErrMin"
counter._propRefs[PropCategory.IMPLICIT_MAX] = "psnpPktsMiscErrMax"
counter._propRefs[PropCategory.IMPLICIT_AVG] = "psnpPktsMiscErrAvg"
counter._propRefs[PropCategory.IMPLICIT_SUSPECT] = "psnpPktsMiscErrSpct"
counter._propRefs[PropCategory.IMPLICIT_THRESHOLDED] = "psnpPktsMiscErrThr"
counter._propRefs[PropCategory.IMPLICIT_TREND] = "psnpPktsMiscErrTr"
counter._propRefs[PropCategory.IMPLICIT_RATE] = "psnpPktsMiscErrRate"
meta._counters.append(counter)
counter = CounterMeta("psnpPktsAuthErr", CounterCategory.COUNTER, "packets", "PSNP Packets with Authentication Error")
counter._propRefs[PropCategory.IMPLICIT_CUMULATIVE] = "psnpPktsAuthErrCum"
counter._propRefs[PropCategory.IMPLICIT_PERIODIC] = "psnpPktsAuthErrPer"
counter._propRefs[PropCategory.IMPLICIT_MIN] = "psnpPktsAuthErrMin"
counter._propRefs[PropCategory.IMPLICIT_MAX] = "psnpPktsAuthErrMax"
counter._propRefs[PropCategory.IMPLICIT_AVG] = "psnpPktsAuthErrAvg"
counter._propRefs[PropCategory.IMPLICIT_SUSPECT] = "psnpPktsAuthErrSpct"
counter._propRefs[PropCategory.IMPLICIT_THRESHOLDED] = "psnpPktsAuthErrThr"
counter._propRefs[PropCategory.IMPLICIT_TREND] = "psnpPktsAuthErrTr"
counter._propRefs[PropCategory.IMPLICIT_RATE] = "psnpPktsAuthErrRate"
meta._counters.append(counter)
counter = CounterMeta("psnpPktsRx", CounterCategory.COUNTER, "packets", "PSNP Packets Recevied")
counter._propRefs[PropCategory.IMPLICIT_CUMULATIVE] = "psnpPktsRxCum"
counter._propRefs[PropCategory.IMPLICIT_PERIODIC] = "psnpPktsRxPer"
counter._propRefs[PropCategory.IMPLICIT_MIN] = "psnpPktsRxMin"
counter._propRefs[PropCategory.IMPLICIT_MAX] = "psnpPktsRxMax"
counter._propRefs[PropCategory.IMPLICIT_AVG] = "psnpPktsRxAvg"
counter._propRefs[PropCategory.IMPLICIT_SUSPECT] = "psnpPktsRxSpct"
counter._propRefs[PropCategory.IMPLICIT_THRESHOLDED] = "psnpPktsRxThr"
counter._propRefs[PropCategory.IMPLICIT_TREND] = "psnpPktsRxTr"
counter._propRefs[PropCategory.IMPLICIT_RATE] = "psnpPktsRxRate"
meta._counters.append(counter)
counter = CounterMeta("psnpPktsTx", CounterCategory.COUNTER, "packets", "PSNP Packets Sent")
counter._propRefs[PropCategory.IMPLICIT_CUMULATIVE] = "psnpPktsTxCum"
counter._propRefs[PropCategory.IMPLICIT_PERIODIC] = "psnpPktsTxPer"
counter._propRefs[PropCategory.IMPLICIT_MIN] = "psnpPktsTxMin"
counter._propRefs[PropCategory.IMPLICIT_MAX] = "psnpPktsTxMax"
counter._propRefs[PropCategory.IMPLICIT_AVG] = "psnpPktsTxAvg"
counter._propRefs[PropCategory.IMPLICIT_SUSPECT] = "psnpPktsTxSpct"
counter._propRefs[PropCategory.IMPLICIT_THRESHOLDED] = "psnpPktsTxThr"
counter._propRefs[PropCategory.IMPLICIT_TREND] = "psnpPktsTxTr"
counter._propRefs[PropCategory.IMPLICIT_RATE] = "psnpPktsTxRate"
meta._counters.append(counter)
meta.moClassName = "isisIsisPsnpStatsHist1d"
meta.rnFormat = "HDisisIsisPsnpStats1d-%(index)s"
meta.category = MoCategory.STATS_HISTORY
meta.label = "historical ISIS PSNP Packets stats in 1 day"
meta.writeAccessMask = 0x8008020040001
meta.readAccessMask = 0x8008020040001
meta.isDomainable = False
meta.isReadOnly = True
meta.isConfigurable = False
meta.isDeletable = False
meta.isContextRoot = True
meta.parentClasses.add("cobra.model.isis.If")
meta.superClasses.add("cobra.model.isis.IsisPsnpStatsHist")
meta.superClasses.add("cobra.model.stats.Hist")
meta.superClasses.add("cobra.model.stats.Item")
meta.rnPrefixes = [
('HDisisIsisPsnpStats1d-', True),
]
prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop._addConstant("deleteAll", "deleteall", 16384)
prop._addConstant("deleteNonPresent", "deletenonpresent", 8192)
prop._addConstant("ignore", "ignore", 4096)
meta.props.add("childAction", prop)
prop = PropMeta("str", "cnt", "cnt", 16212, PropCategory.REGULAR)
prop.label = "Number of Collections During this Interval"
prop.isImplicit = True
prop.isAdmin = True
meta.props.add("cnt", prop)
prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN)
prop.label = "None"
prop.isDn = True
prop.isImplicit = True
prop.isAdmin = True
prop.isCreateOnly = True
meta.props.add("dn", prop)
prop = PropMeta("str", "index", "index", 45850, PropCategory.REGULAR)
prop.label = "History Index"
prop.isConfig = True
prop.isAdmin = True
prop.isCreateOnly = True
prop.isNaming = True
meta.props.add("index", prop)
prop = PropMeta("str", "lastCollOffset", "lastCollOffset", 111, PropCategory.REGULAR)
prop.label = "Collection Length"
prop.isImplicit = True
prop.isAdmin = True
meta.props.add("lastCollOffset", prop)
prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop.defaultValue = 0
prop.defaultValueStr = "never"
prop._addConstant("never", "never", 0)
meta.props.add("modTs", prop)
prop = PropMeta("str", "psnpPktsAuthErrAvg", "psnpPktsAuthErrAvg", 46481, PropCategory.IMPLICIT_AVG)
prop.label = "PSNP Packets with Authentication Error average value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrAvg", prop)
prop = PropMeta("str", "psnpPktsAuthErrCum", "psnpPktsAuthErrCum", 46477, PropCategory.IMPLICIT_CUMULATIVE)
prop.label = "PSNP Packets with Authentication Error cumulative"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrCum", prop)
prop = PropMeta("str", "psnpPktsAuthErrMax", "psnpPktsAuthErrMax", 46480, PropCategory.IMPLICIT_MAX)
prop.label = "PSNP Packets with Authentication Error maximum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrMax", prop)
prop = PropMeta("str", "psnpPktsAuthErrMin", "psnpPktsAuthErrMin", 46479, PropCategory.IMPLICIT_MIN)
prop.label = "PSNP Packets with Authentication Error minimum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrMin", prop)
prop = PropMeta("str", "psnpPktsAuthErrPer", "psnpPktsAuthErrPer", 46478, PropCategory.IMPLICIT_PERIODIC)
prop.label = "PSNP Packets with Authentication Error periodic"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrPer", prop)
prop = PropMeta("str", "psnpPktsAuthErrRate", "psnpPktsAuthErrRate", 46485, PropCategory.IMPLICIT_RATE)
prop.label = "PSNP Packets with Authentication Error rate"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrRate", prop)
prop = PropMeta("str", "psnpPktsAuthErrSpct", "psnpPktsAuthErrSpct", 46482, PropCategory.IMPLICIT_SUSPECT)
prop.label = "PSNP Packets with Authentication Error suspect count"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrSpct", prop)
prop = PropMeta("str", "psnpPktsAuthErrThr", "psnpPktsAuthErrThr", 46483, PropCategory.IMPLICIT_THRESHOLDED)
prop.label = "PSNP Packets with Authentication Error thresholded flags"
prop.isOper = True
prop.isStats = True
prop.defaultValue = 0
prop.defaultValueStr = "unspecified"
prop._addConstant("avgCrit", "avg-severity-critical", 2199023255552)
prop._addConstant("avgHigh", "avg-crossed-high-threshold", 68719476736)
prop._addConstant("avgLow", "avg-crossed-low-threshold", 137438953472)
prop._addConstant("avgMajor", "avg-severity-major", 1099511627776)
prop._addConstant("avgMinor", "avg-severity-minor", 549755813888)
prop._addConstant("avgRecovering", "avg-recovering", 34359738368)
prop._addConstant("avgWarn", "avg-severity-warning", 274877906944)
prop._addConstant("cumulativeCrit", "cumulative-severity-critical", 8192)
prop._addConstant("cumulativeHigh", "cumulative-crossed-high-threshold", 256)
prop._addConstant("cumulativeLow", "cumulative-crossed-low-threshold", 512)
prop._addConstant("cumulativeMajor", "cumulative-severity-major", 4096)
prop._addConstant("cumulativeMinor", "cumulative-severity-minor", 2048)
prop._addConstant("cumulativeRecovering", "cumulative-recovering", 128)
prop._addConstant("cumulativeWarn", "cumulative-severity-warning", 1024)
prop._addConstant("lastReadingCrit", "lastreading-severity-critical", 64)
prop._addConstant("lastReadingHigh", "lastreading-crossed-high-threshold", 2)
prop._addConstant("lastReadingLow", "lastreading-crossed-low-threshold", 4)
prop._addConstant("lastReadingMajor", "lastreading-severity-major", 32)
prop._addConstant("lastReadingMinor", "lastreading-severity-minor", 16)
prop._addConstant("lastReadingRecovering", "lastreading-recovering", 1)
prop._addConstant("lastReadingWarn", "lastreading-severity-warning", 8)
prop._addConstant("maxCrit", "max-severity-critical", 17179869184)
prop._addConstant("maxHigh", "max-crossed-high-threshold", 536870912)
prop._addConstant("maxLow", "max-crossed-low-threshold", 1073741824)
prop._addConstant("maxMajor", "max-severity-major", 8589934592)
prop._addConstant("maxMinor", "max-severity-minor", 4294967296)
prop._addConstant("maxRecovering", "max-recovering", 268435456)
prop._addConstant("maxWarn", "max-severity-warning", 2147483648)
prop._addConstant("minCrit", "min-severity-critical", 134217728)
prop._addConstant("minHigh", "min-crossed-high-threshold", 4194304)
prop._addConstant("minLow", "min-crossed-low-threshold", 8388608)
prop._addConstant("minMajor", "min-severity-major", 67108864)
prop._addConstant("minMinor", "min-severity-minor", 33554432)
prop._addConstant("minRecovering", "min-recovering", 2097152)
prop._addConstant("minWarn", "min-severity-warning", 16777216)
prop._addConstant("periodicCrit", "periodic-severity-critical", 1048576)
prop._addConstant("periodicHigh", "periodic-crossed-high-threshold", 32768)
prop._addConstant("periodicLow", "periodic-crossed-low-threshold", 65536)
prop._addConstant("periodicMajor", "periodic-severity-major", 524288)
prop._addConstant("periodicMinor", "periodic-severity-minor", 262144)
prop._addConstant("periodicRecovering", "periodic-recovering", 16384)
prop._addConstant("periodicWarn", "periodic-severity-warning", 131072)
prop._addConstant("rateCrit", "rate-severity-critical", 36028797018963968)
prop._addConstant("rateHigh", "rate-crossed-high-threshold", 1125899906842624)
prop._addConstant("rateLow", "rate-crossed-low-threshold", 2251799813685248)
prop._addConstant("rateMajor", "rate-severity-major", 18014398509481984)
prop._addConstant("rateMinor", "rate-severity-minor", 9007199254740992)
prop._addConstant("rateRecovering", "rate-recovering", 562949953421312)
prop._addConstant("rateWarn", "rate-severity-warning", 4503599627370496)
prop._addConstant("trendCrit", "trend-severity-critical", 281474976710656)
prop._addConstant("trendHigh", "trend-crossed-high-threshold", 8796093022208)
prop._addConstant("trendLow", "trend-crossed-low-threshold", 17592186044416)
prop._addConstant("trendMajor", "trend-severity-major", 140737488355328)
prop._addConstant("trendMinor", "trend-severity-minor", 70368744177664)
prop._addConstant("trendRecovering", "trend-recovering", 4398046511104)
prop._addConstant("trendWarn", "trend-severity-warning", 35184372088832)
prop._addConstant("unspecified", None, 0)
meta.props.add("psnpPktsAuthErrThr", prop)
prop = PropMeta("str", "psnpPktsAuthErrTr", "psnpPktsAuthErrTr", 46484, PropCategory.IMPLICIT_TREND)
prop.label = "PSNP Packets with Authentication Error trend"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsAuthErrTr", prop)
prop = PropMeta("str", "psnpPktsMiscErrAvg", "psnpPktsMiscErrAvg", 46502, PropCategory.IMPLICIT_AVG)
prop.label = "PSNP Packets with Miscelcsnpeous Error average value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrAvg", prop)
prop = PropMeta("str", "psnpPktsMiscErrCum", "psnpPktsMiscErrCum", 46498, PropCategory.IMPLICIT_CUMULATIVE)
prop.label = "PSNP Packets with Miscelcsnpeous Error cumulative"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrCum", prop)
prop = PropMeta("str", "psnpPktsMiscErrMax", "psnpPktsMiscErrMax", 46501, PropCategory.IMPLICIT_MAX)
prop.label = "PSNP Packets with Miscelcsnpeous Error maximum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrMax", prop)
prop = PropMeta("str", "psnpPktsMiscErrMin", "psnpPktsMiscErrMin", 46500, PropCategory.IMPLICIT_MIN)
prop.label = "PSNP Packets with Miscelcsnpeous Error minimum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrMin", prop)
prop = PropMeta("str", "psnpPktsMiscErrPer", "psnpPktsMiscErrPer", 46499, PropCategory.IMPLICIT_PERIODIC)
prop.label = "PSNP Packets with Miscelcsnpeous Error periodic"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrPer", prop)
prop = PropMeta("str", "psnpPktsMiscErrRate", "psnpPktsMiscErrRate", 46506, PropCategory.IMPLICIT_RATE)
prop.label = "PSNP Packets with Miscelcsnpeous Error rate"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrRate", prop)
prop = PropMeta("str", "psnpPktsMiscErrSpct", "psnpPktsMiscErrSpct", 46503, PropCategory.IMPLICIT_SUSPECT)
prop.label = "PSNP Packets with Miscelcsnpeous Error suspect count"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrSpct", prop)
prop = PropMeta("str", "psnpPktsMiscErrThr", "psnpPktsMiscErrThr", 46504, PropCategory.IMPLICIT_THRESHOLDED)
prop.label = "PSNP Packets with Miscelcsnpeous Error thresholded flags"
prop.isOper = True
prop.isStats = True
prop.defaultValue = 0
prop.defaultValueStr = "unspecified"
prop._addConstant("avgCrit", "avg-severity-critical", 2199023255552)
prop._addConstant("avgHigh", "avg-crossed-high-threshold", 68719476736)
prop._addConstant("avgLow", "avg-crossed-low-threshold", 137438953472)
prop._addConstant("avgMajor", "avg-severity-major", 1099511627776)
prop._addConstant("avgMinor", "avg-severity-minor", 549755813888)
prop._addConstant("avgRecovering", "avg-recovering", 34359738368)
prop._addConstant("avgWarn", "avg-severity-warning", 274877906944)
prop._addConstant("cumulativeCrit", "cumulative-severity-critical", 8192)
prop._addConstant("cumulativeHigh", "cumulative-crossed-high-threshold", 256)
prop._addConstant("cumulativeLow", "cumulative-crossed-low-threshold", 512)
prop._addConstant("cumulativeMajor", "cumulative-severity-major", 4096)
prop._addConstant("cumulativeMinor", "cumulative-severity-minor", 2048)
prop._addConstant("cumulativeRecovering", "cumulative-recovering", 128)
prop._addConstant("cumulativeWarn", "cumulative-severity-warning", 1024)
prop._addConstant("lastReadingCrit", "lastreading-severity-critical", 64)
prop._addConstant("lastReadingHigh", "lastreading-crossed-high-threshold", 2)
prop._addConstant("lastReadingLow", "lastreading-crossed-low-threshold", 4)
prop._addConstant("lastReadingMajor", "lastreading-severity-major", 32)
prop._addConstant("lastReadingMinor", "lastreading-severity-minor", 16)
prop._addConstant("lastReadingRecovering", "lastreading-recovering", 1)
prop._addConstant("lastReadingWarn", "lastreading-severity-warning", 8)
prop._addConstant("maxCrit", "max-severity-critical", 17179869184)
prop._addConstant("maxHigh", "max-crossed-high-threshold", 536870912)
prop._addConstant("maxLow", "max-crossed-low-threshold", 1073741824)
prop._addConstant("maxMajor", "max-severity-major", 8589934592)
prop._addConstant("maxMinor", "max-severity-minor", 4294967296)
prop._addConstant("maxRecovering", "max-recovering", 268435456)
prop._addConstant("maxWarn", "max-severity-warning", 2147483648)
prop._addConstant("minCrit", "min-severity-critical", 134217728)
prop._addConstant("minHigh", "min-crossed-high-threshold", 4194304)
prop._addConstant("minLow", "min-crossed-low-threshold", 8388608)
prop._addConstant("minMajor", "min-severity-major", 67108864)
prop._addConstant("minMinor", "min-severity-minor", 33554432)
prop._addConstant("minRecovering", "min-recovering", 2097152)
prop._addConstant("minWarn", "min-severity-warning", 16777216)
prop._addConstant("periodicCrit", "periodic-severity-critical", 1048576)
prop._addConstant("periodicHigh", "periodic-crossed-high-threshold", 32768)
prop._addConstant("periodicLow", "periodic-crossed-low-threshold", 65536)
prop._addConstant("periodicMajor", "periodic-severity-major", 524288)
prop._addConstant("periodicMinor", "periodic-severity-minor", 262144)
prop._addConstant("periodicRecovering", "periodic-recovering", 16384)
prop._addConstant("periodicWarn", "periodic-severity-warning", 131072)
prop._addConstant("rateCrit", "rate-severity-critical", 36028797018963968)
prop._addConstant("rateHigh", "rate-crossed-high-threshold", 1125899906842624)
prop._addConstant("rateLow", "rate-crossed-low-threshold", 2251799813685248)
prop._addConstant("rateMajor", "rate-severity-major", 18014398509481984)
prop._addConstant("rateMinor", "rate-severity-minor", 9007199254740992)
prop._addConstant("rateRecovering", "rate-recovering", 562949953421312)
prop._addConstant("rateWarn", "rate-severity-warning", 4503599627370496)
prop._addConstant("trendCrit", "trend-severity-critical", 281474976710656)
prop._addConstant("trendHigh", "trend-crossed-high-threshold", 8796093022208)
prop._addConstant("trendLow", "trend-crossed-low-threshold", 17592186044416)
prop._addConstant("trendMajor", "trend-severity-major", 140737488355328)
prop._addConstant("trendMinor", "trend-severity-minor", 70368744177664)
prop._addConstant("trendRecovering", "trend-recovering", 4398046511104)
prop._addConstant("trendWarn", "trend-severity-warning", 35184372088832)
prop._addConstant("unspecified", None, 0)
meta.props.add("psnpPktsMiscErrThr", prop)
prop = PropMeta("str", "psnpPktsMiscErrTr", "psnpPktsMiscErrTr", 46505, PropCategory.IMPLICIT_TREND)
prop.label = "PSNP Packets with Miscelcsnpeous Error trend"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsMiscErrTr", prop)
prop = PropMeta("str", "psnpPktsRxAvg", "psnpPktsRxAvg", 46523, PropCategory.IMPLICIT_AVG)
prop.label = "PSNP Packets Recevied average value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxAvg", prop)
prop = PropMeta("str", "psnpPktsRxCum", "psnpPktsRxCum", 46519, PropCategory.IMPLICIT_CUMULATIVE)
prop.label = "PSNP Packets Recevied cumulative"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxCum", prop)
prop = PropMeta("str", "psnpPktsRxMax", "psnpPktsRxMax", 46522, PropCategory.IMPLICIT_MAX)
prop.label = "PSNP Packets Recevied maximum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxMax", prop)
prop = PropMeta("str", "psnpPktsRxMin", "psnpPktsRxMin", 46521, PropCategory.IMPLICIT_MIN)
prop.label = "PSNP Packets Recevied minimum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxMin", prop)
prop = PropMeta("str", "psnpPktsRxPer", "psnpPktsRxPer", 46520, PropCategory.IMPLICIT_PERIODIC)
prop.label = "PSNP Packets Recevied periodic"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxPer", prop)
prop = PropMeta("str", "psnpPktsRxRate", "psnpPktsRxRate", 46527, PropCategory.IMPLICIT_RATE)
prop.label = "PSNP Packets Recevied rate"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxRate", prop)
prop = PropMeta("str", "psnpPktsRxSpct", "psnpPktsRxSpct", 46524, PropCategory.IMPLICIT_SUSPECT)
prop.label = "PSNP Packets Recevied suspect count"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxSpct", prop)
prop = PropMeta("str", "psnpPktsRxThr", "psnpPktsRxThr", 46525, PropCategory.IMPLICIT_THRESHOLDED)
prop.label = "PSNP Packets Recevied thresholded flags"
prop.isOper = True
prop.isStats = True
prop.defaultValue = 0
prop.defaultValueStr = "unspecified"
prop._addConstant("avgCrit", "avg-severity-critical", 2199023255552)
prop._addConstant("avgHigh", "avg-crossed-high-threshold", 68719476736)
prop._addConstant("avgLow", "avg-crossed-low-threshold", 137438953472)
prop._addConstant("avgMajor", "avg-severity-major", 1099511627776)
prop._addConstant("avgMinor", "avg-severity-minor", 549755813888)
prop._addConstant("avgRecovering", "avg-recovering", 34359738368)
prop._addConstant("avgWarn", "avg-severity-warning", 274877906944)
prop._addConstant("cumulativeCrit", "cumulative-severity-critical", 8192)
prop._addConstant("cumulativeHigh", "cumulative-crossed-high-threshold", 256)
prop._addConstant("cumulativeLow", "cumulative-crossed-low-threshold", 512)
prop._addConstant("cumulativeMajor", "cumulative-severity-major", 4096)
prop._addConstant("cumulativeMinor", "cumulative-severity-minor", 2048)
prop._addConstant("cumulativeRecovering", "cumulative-recovering", 128)
prop._addConstant("cumulativeWarn", "cumulative-severity-warning", 1024)
prop._addConstant("lastReadingCrit", "lastreading-severity-critical", 64)
prop._addConstant("lastReadingHigh", "lastreading-crossed-high-threshold", 2)
prop._addConstant("lastReadingLow", "lastreading-crossed-low-threshold", 4)
prop._addConstant("lastReadingMajor", "lastreading-severity-major", 32)
prop._addConstant("lastReadingMinor", "lastreading-severity-minor", 16)
prop._addConstant("lastReadingRecovering", "lastreading-recovering", 1)
prop._addConstant("lastReadingWarn", "lastreading-severity-warning", 8)
prop._addConstant("maxCrit", "max-severity-critical", 17179869184)
prop._addConstant("maxHigh", "max-crossed-high-threshold", 536870912)
prop._addConstant("maxLow", "max-crossed-low-threshold", 1073741824)
prop._addConstant("maxMajor", "max-severity-major", 8589934592)
prop._addConstant("maxMinor", "max-severity-minor", 4294967296)
prop._addConstant("maxRecovering", "max-recovering", 268435456)
prop._addConstant("maxWarn", "max-severity-warning", 2147483648)
prop._addConstant("minCrit", "min-severity-critical", 134217728)
prop._addConstant("minHigh", "min-crossed-high-threshold", 4194304)
prop._addConstant("minLow", "min-crossed-low-threshold", 8388608)
prop._addConstant("minMajor", "min-severity-major", 67108864)
prop._addConstant("minMinor", "min-severity-minor", 33554432)
prop._addConstant("minRecovering", "min-recovering", 2097152)
prop._addConstant("minWarn", "min-severity-warning", 16777216)
prop._addConstant("periodicCrit", "periodic-severity-critical", 1048576)
prop._addConstant("periodicHigh", "periodic-crossed-high-threshold", 32768)
prop._addConstant("periodicLow", "periodic-crossed-low-threshold", 65536)
prop._addConstant("periodicMajor", "periodic-severity-major", 524288)
prop._addConstant("periodicMinor", "periodic-severity-minor", 262144)
prop._addConstant("periodicRecovering", "periodic-recovering", 16384)
prop._addConstant("periodicWarn", "periodic-severity-warning", 131072)
prop._addConstant("rateCrit", "rate-severity-critical", 36028797018963968)
prop._addConstant("rateHigh", "rate-crossed-high-threshold", 1125899906842624)
prop._addConstant("rateLow", "rate-crossed-low-threshold", 2251799813685248)
prop._addConstant("rateMajor", "rate-severity-major", 18014398509481984)
prop._addConstant("rateMinor", "rate-severity-minor", 9007199254740992)
prop._addConstant("rateRecovering", "rate-recovering", 562949953421312)
prop._addConstant("rateWarn", "rate-severity-warning", 4503599627370496)
prop._addConstant("trendCrit", "trend-severity-critical", 281474976710656)
prop._addConstant("trendHigh", "trend-crossed-high-threshold", 8796093022208)
prop._addConstant("trendLow", "trend-crossed-low-threshold", 17592186044416)
prop._addConstant("trendMajor", "trend-severity-major", 140737488355328)
prop._addConstant("trendMinor", "trend-severity-minor", 70368744177664)
prop._addConstant("trendRecovering", "trend-recovering", 4398046511104)
prop._addConstant("trendWarn", "trend-severity-warning", 35184372088832)
prop._addConstant("unspecified", None, 0)
meta.props.add("psnpPktsRxThr", prop)
prop = PropMeta("str", "psnpPktsRxTr", "psnpPktsRxTr", 46526, PropCategory.IMPLICIT_TREND)
prop.label = "PSNP Packets Recevied trend"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsRxTr", prop)
prop = PropMeta("str", "psnpPktsTxAvg", "psnpPktsTxAvg", 46544, PropCategory.IMPLICIT_AVG)
prop.label = "PSNP Packets Sent average value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxAvg", prop)
prop = PropMeta("str", "psnpPktsTxCum", "psnpPktsTxCum", 46540, PropCategory.IMPLICIT_CUMULATIVE)
prop.label = "PSNP Packets Sent cumulative"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxCum", prop)
prop = PropMeta("str", "psnpPktsTxMax", "psnpPktsTxMax", 46543, PropCategory.IMPLICIT_MAX)
prop.label = "PSNP Packets Sent maximum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxMax", prop)
prop = PropMeta("str", "psnpPktsTxMin", "psnpPktsTxMin", 46542, PropCategory.IMPLICIT_MIN)
prop.label = "PSNP Packets Sent minimum value"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxMin", prop)
prop = PropMeta("str", "psnpPktsTxPer", "psnpPktsTxPer", 46541, PropCategory.IMPLICIT_PERIODIC)
prop.label = "PSNP Packets Sent periodic"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxPer", prop)
prop = PropMeta("str", "psnpPktsTxRate", "psnpPktsTxRate", 46548, PropCategory.IMPLICIT_RATE)
prop.label = "PSNP Packets Sent rate"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxRate", prop)
prop = PropMeta("str", "psnpPktsTxSpct", "psnpPktsTxSpct", 46545, PropCategory.IMPLICIT_SUSPECT)
prop.label = "PSNP Packets Sent suspect count"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxSpct", prop)
prop = PropMeta("str", "psnpPktsTxThr", "psnpPktsTxThr", 46546, PropCategory.IMPLICIT_THRESHOLDED)
prop.label = "PSNP Packets Sent thresholded flags"
prop.isOper = True
prop.isStats = True
prop.defaultValue = 0
prop.defaultValueStr = "unspecified"
prop._addConstant("avgCrit", "avg-severity-critical", 2199023255552)
prop._addConstant("avgHigh", "avg-crossed-high-threshold", 68719476736)
prop._addConstant("avgLow", "avg-crossed-low-threshold", 137438953472)
prop._addConstant("avgMajor", "avg-severity-major", 1099511627776)
prop._addConstant("avgMinor", "avg-severity-minor", 549755813888)
prop._addConstant("avgRecovering", "avg-recovering", 34359738368)
prop._addConstant("avgWarn", "avg-severity-warning", 274877906944)
prop._addConstant("cumulativeCrit", "cumulative-severity-critical", 8192)
prop._addConstant("cumulativeHigh", "cumulative-crossed-high-threshold", 256)
prop._addConstant("cumulativeLow", "cumulative-crossed-low-threshold", 512)
prop._addConstant("cumulativeMajor", "cumulative-severity-major", 4096)
prop._addConstant("cumulativeMinor", "cumulative-severity-minor", 2048)
prop._addConstant("cumulativeRecovering", "cumulative-recovering", 128)
prop._addConstant("cumulativeWarn", "cumulative-severity-warning", 1024)
prop._addConstant("lastReadingCrit", "lastreading-severity-critical", 64)
prop._addConstant("lastReadingHigh", "lastreading-crossed-high-threshold", 2)
prop._addConstant("lastReadingLow", "lastreading-crossed-low-threshold", 4)
prop._addConstant("lastReadingMajor", "lastreading-severity-major", 32)
prop._addConstant("lastReadingMinor", "lastreading-severity-minor", 16)
prop._addConstant("lastReadingRecovering", "lastreading-recovering", 1)
prop._addConstant("lastReadingWarn", "lastreading-severity-warning", 8)
prop._addConstant("maxCrit", "max-severity-critical", 17179869184)
prop._addConstant("maxHigh", "max-crossed-high-threshold", 536870912)
prop._addConstant("maxLow", "max-crossed-low-threshold", 1073741824)
prop._addConstant("maxMajor", "max-severity-major", 8589934592)
prop._addConstant("maxMinor", "max-severity-minor", 4294967296)
prop._addConstant("maxRecovering", "max-recovering", 268435456)
prop._addConstant("maxWarn", "max-severity-warning", 2147483648)
prop._addConstant("minCrit", "min-severity-critical", 134217728)
prop._addConstant("minHigh", "min-crossed-high-threshold", 4194304)
prop._addConstant("minLow", "min-crossed-low-threshold", 8388608)
prop._addConstant("minMajor", "min-severity-major", 67108864)
prop._addConstant("minMinor", "min-severity-minor", 33554432)
prop._addConstant("minRecovering", "min-recovering", 2097152)
prop._addConstant("minWarn", "min-severity-warning", 16777216)
prop._addConstant("periodicCrit", "periodic-severity-critical", 1048576)
prop._addConstant("periodicHigh", "periodic-crossed-high-threshold", 32768)
prop._addConstant("periodicLow", "periodic-crossed-low-threshold", 65536)
prop._addConstant("periodicMajor", "periodic-severity-major", 524288)
prop._addConstant("periodicMinor", "periodic-severity-minor", 262144)
prop._addConstant("periodicRecovering", "periodic-recovering", 16384)
prop._addConstant("periodicWarn", "periodic-severity-warning", 131072)
prop._addConstant("rateCrit", "rate-severity-critical", 36028797018963968)
prop._addConstant("rateHigh", "rate-crossed-high-threshold", 1125899906842624)
prop._addConstant("rateLow", "rate-crossed-low-threshold", 2251799813685248)
prop._addConstant("rateMajor", "rate-severity-major", 18014398509481984)
prop._addConstant("rateMinor", "rate-severity-minor", 9007199254740992)
prop._addConstant("rateRecovering", "rate-recovering", 562949953421312)
prop._addConstant("rateWarn", "rate-severity-warning", 4503599627370496)
prop._addConstant("trendCrit", "trend-severity-critical", 281474976710656)
prop._addConstant("trendHigh", "trend-crossed-high-threshold", 8796093022208)
prop._addConstant("trendLow", "trend-crossed-low-threshold", 17592186044416)
prop._addConstant("trendMajor", "trend-severity-major", 140737488355328)
prop._addConstant("trendMinor", "trend-severity-minor", 70368744177664)
prop._addConstant("trendRecovering", "trend-recovering", 4398046511104)
prop._addConstant("trendWarn", "trend-severity-warning", 35184372088832)
prop._addConstant("unspecified", None, 0)
meta.props.add("psnpPktsTxThr", prop)
prop = PropMeta("str", "psnpPktsTxTr", "psnpPktsTxTr", 46547, PropCategory.IMPLICIT_TREND)
prop.label = "PSNP Packets Sent trend"
prop.isOper = True
prop.isStats = True
meta.props.add("psnpPktsTxTr", prop)
prop = PropMeta("str", "repIntvEnd", "repIntvEnd", 110, PropCategory.REGULAR)
prop.label = "Reporting End Time"
prop.isImplicit = True
prop.isAdmin = True
meta.props.add("repIntvEnd", prop)
prop = PropMeta("str", "repIntvStart", "repIntvStart", 109, PropCategory.REGULAR)
prop.label = "Reporting Start Time"
prop.isImplicit = True
prop.isAdmin = True
meta.props.add("repIntvStart", prop)
prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN)
prop.label = "None"
prop.isRn = True
prop.isImplicit = True
prop.isAdmin = True
prop.isCreateOnly = True
meta.props.add("rn", prop)
prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS)
prop.label = "None"
prop.isImplicit = True
prop.isAdmin = True
prop._addConstant("created", "created", 2)
prop._addConstant("deleted", "deleted", 8)
prop._addConstant("modified", "modified", 4)
meta.props.add("status", prop)
meta.namingProps.append(getattr(meta.props, "index"))
def __init__(self, parentMoOrDn, index, markDirty=True, **creationProps):
namingVals = [index]
Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps)
# End of package file
# ##################################################
| [
"[email protected]"
]
| |
d2ea2f4eb3e5aea99cea24baf453eca59c539211 | 487ce91881032c1de16e35ed8bc187d6034205f7 | /codes/CodeJamCrawler/16_0_2/AndrewNguyen/b2.py | f7a0b686bc0911c70127e931d1811ba557d1d1d4 | []
| no_license | DaHuO/Supergraph | 9cd26d8c5a081803015d93cf5f2674009e92ef7e | c88059dc66297af577ad2b8afa4e0ac0ad622915 | refs/heads/master | 2021-06-14T16:07:52.405091 | 2016-08-21T13:39:13 | 2016-08-21T13:39:13 | 49,829,508 | 2 | 0 | null | 2021-03-19T21:55:46 | 2016-01-17T18:23:00 | Python | UTF-8 | Python | false | false | 1,119 | py | import sys
def isHappy(state):
for ch in state:
if ch == '-':
return False
return True
def generate(state):
new_states = []
lenOfState = len(state)
for i in range(1,lenOfState+1):
new_state = ""
for j in range(0, i):
if state[j] == '+':
new_state = new_state + '-'
else:
new_state = new_state + '+'
new_state = new_state + state[i:lenOfState]
new_states.append(new_state)
return new_states
if __name__ == "__main__":
filename = sys.argv[1]
f = open(filename, 'r')
lines = f.readlines()
T = int(lines[0])
idx = 0
for i in range(0,T):
origin_state = lines[i+1]
states = set([origin_state])
level = {origin_state:0}
queue = [origin_state]
while len(queue) > 0:
# print(states)
next_item = queue.pop()
# print("%3d: %s" % (idx, next_item))
idx = idx + 1
current_level = level[next_item]
if isHappy(next_item):
print("Case #%d: %d" % (i+1, current_level))
break
new_states = generate(next_item)
for state in new_states:
if state not in states:
states.add(state)
queue.insert(0, state)
level[state] = current_level + 1
| [
"[[email protected]]"
]
| |
d3c5463beb6e02ae8155b9bce09381283c948c6e | 4cc2ef8cd6a587da84a7ad0d7f15ed29c3f1cb9a | /pic/updateid.py | 24991c93c0f3a55e6d809fd0567e517804d5f37a | []
| no_license | eiselekd/backuphelpers | 71797823468cec36038d482ee81e606571f35289 | a9b92a6f3bd3984a517eb0c262f856e451302990 | refs/heads/master | 2020-03-23T08:48:29.977323 | 2018-11-19T20:33:13 | 2018-11-19T20:33:13 | 141,349,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,190 | py | #!/usr/bin/python3
import argparse, os
from pprint import pprint
from sortpics.img import SortImage
from pyexiftool.exiftool import ExifTool
from pyexiftool.exiftool import fsencode
import tempfile, sys, hashlib
parser = argparse.ArgumentParser(description='sortpics')
parser.add_argument('--verbose', '-v', dest='verbose', action='count', default=0)
parser.add_argument('--update', '-u', dest='update', action='count', default=0)
parser.add_argument('file')
args = parser.parse_args()
f = args.file
def md5(img_path):
hash_md5 = hashlib.md5()
with open(img_path, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
hash_md5.update(chunk)
return hash_md5.hexdigest()
with ExifTool() as et:
exif_data = et.get_metadata(f)
if (args.verbose):
pprint(exif_data)
m = ""
for j in [ 'EXIF:ImageUniqueID', 'MakerNotes:ImageUniqueID' ]:
if j in exif_data:
if (len(exif_data[j]) > 16):
m = exif_data[j]
if m == "":
if (args.update):
m = md5(f)
p = map(fsencode,["-EXIF:ImageUniqueID+=%s" %(m), f])
et.execute(*p)
sys.stdout.write(m)
| [
"[email protected]"
]
| |
8994d1eea949890530bfbdfe44ecda4a0e96bce8 | d51b4c766661af65b4ee6e7c30f8cb4bdd8603e3 | /python/algorithm/leetcode/403.py | 3684426cb3a77880be1c00f4f4e999c006acfbfb | []
| no_license | yanxurui/keepcoding | 3e988c76b123d55b32cf7cc35fbffb12c4ccb095 | d6b9f07e2d1437681fa77fee0687ea9b83cab135 | refs/heads/master | 2021-01-24T09:01:41.306597 | 2020-05-21T05:36:04 | 2020-05-21T05:36:04 | 93,400,267 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,715 | py | from typing import List
# https://leetcode.com/problems/frog-jump/discuss/88824/Very-easy-to-understand-JAVA-solution-with-explanations
class Solution:
def canCross(self, stones: List[int]) -> bool:
d = {stone:set() for stone in stones}
d[stones[0]].add(1)
for stone in stones:
for step in d[stone]:
reach = stone+step
if reach == stones[-1]:
return True
if reach in d:
if step-1 > 0:
d[reach].add(step-1)
d[reach].add(step)
d[reach].add(step+1)
return False
# TLE
class Solution2:
def canCross(self, stones: List[int]) -> bool:
return self.dfs(stones, 0, 1)
def dfs(self, stones, i, k):
# jump from index i by k units
n = len(stones)
if i == n-1:
# arrive at the last stone
return True
# jump to j
j = self.bs(stones, i+1, len(stones)-1, stones[i]+k)
if j > 0:
return self.dfs(stones, j, k-1) or self.dfs(stones, j, k) or self.dfs(stones, j, k+1)
else:
return False
def bs(self, stones, l, h, t):
while l <= h:
m = (l+h)//2
if stones[m] == t:
return m
elif stones[m] < t:
l = m+1
else:
h = m-1
return -1
if __name__ == '__main__':
from testfunc import test
test_data = [
(
[0,1,3,5,6,8,12,17],
True
),
(
[0,1,2,3,4,8,9,11],
False
)
]
test(Solution().canCross, test_data)
| [
"[email protected]"
]
| |
3c15bf29f03af4682e3d5978616547b28ff92205 | d7faf47825b6f8e5abf9a9587f1e7248c0eed1e2 | /python/ray/tests/test_multinode_failures.py | 61627c99c93063c84698e4d6581e3a96baa82812 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
]
| permissive | ggdupont/ray | 7d7c7f39a8f99a09199fab60897da9e48b8e2645 | 15391026c19f1cbbb8d412e46b01f7998e42f2b9 | refs/heads/master | 2023-03-12T06:30:11.428319 | 2021-12-07T05:34:27 | 2021-12-07T05:34:27 | 165,058,028 | 0 | 0 | Apache-2.0 | 2023-03-04T08:56:50 | 2019-01-10T12:41:09 | Python | UTF-8 | Python | false | false | 5,384 | py | import os
import signal
import sys
import time
import pytest
import ray
import ray.ray_constants as ray_constants
from ray.cluster_utils import Cluster, cluster_not_supported
from ray._private.test_utils import RayTestTimeoutException, get_other_nodes
SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM
@pytest.mark.xfail(cluster_not_supported, reason="cluster not supported")
@pytest.fixture(params=[(1, 4), (4, 4)])
def ray_start_workers_separate_multinode(request):
num_nodes = request.param[0]
num_initial_workers = request.param[1]
# Start the Ray processes.
cluster = Cluster()
for _ in range(num_nodes):
cluster.add_node(num_cpus=num_initial_workers)
ray.init(address=cluster.address)
yield num_nodes, num_initial_workers
# The code after the yield will run as teardown code.
ray.shutdown()
cluster.shutdown()
@pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.")
def test_worker_failed(ray_start_workers_separate_multinode):
num_nodes, num_initial_workers = (ray_start_workers_separate_multinode)
@ray.remote
def get_pids():
time.sleep(0.25)
return os.getpid()
start_time = time.time()
pids = set()
while len(pids) < num_nodes * num_initial_workers:
new_pids = ray.get([
get_pids.remote()
for _ in range(2 * num_nodes * num_initial_workers)
])
for pid in new_pids:
pids.add(pid)
if time.time() - start_time > 60:
raise RayTestTimeoutException(
"Timed out while waiting to get worker PIDs.")
@ray.remote
def f(x):
time.sleep(0.5)
return x
# Submit more tasks than there are workers so that all workers and
# cores are utilized.
object_refs = [f.remote(i) for i in range(num_initial_workers * num_nodes)]
object_refs += [f.remote(object_ref) for object_ref in object_refs]
# Allow the tasks some time to begin executing.
time.sleep(0.1)
# Kill the workers as the tasks execute.
for pid in pids:
try:
os.kill(pid, SIGKILL)
except OSError:
# The process may have already exited due to worker capping.
pass
time.sleep(0.1)
# Make sure that we either get the object or we get an appropriate
# exception.
for object_ref in object_refs:
try:
ray.get(object_ref)
except (ray.exceptions.RayTaskError,
ray.exceptions.WorkerCrashedError):
pass
def _test_component_failed(cluster, component_type):
"""Kill a component on all worker nodes and check workload succeeds."""
# Submit many tasks with many dependencies.
@ray.remote
def f(x):
# Sleep to make sure that tasks actually fail mid-execution.
time.sleep(0.01)
return x
@ray.remote
def g(*xs):
# Sleep to make sure that tasks actually fail mid-execution. We
# only use it for direct calls because the test already takes a
# long time to run with the raylet codepath.
time.sleep(0.01)
return 1
# Kill the component on all nodes except the head node as the tasks
# execute. Do this in a loop while submitting tasks between each
# component failure.
time.sleep(0.1)
worker_nodes = get_other_nodes(cluster)
assert len(worker_nodes) > 0
for node in worker_nodes:
process = node.all_processes[component_type][0].process
# Submit a round of tasks with many dependencies.
x = 1
for _ in range(1000):
x = f.remote(x)
xs = [g.remote(1)]
for _ in range(100):
xs.append(g.remote(*xs))
xs.append(g.remote(1))
# Kill a component on one of the nodes.
process.terminate()
time.sleep(1)
process.kill()
process.wait()
assert not process.poll() is None
# Make sure that we can still get the objects after the
# executing tasks died.
ray.get(x)
ray.get(xs)
def check_components_alive(cluster, component_type, check_component_alive):
"""Check that a given component type is alive on all worker nodes."""
worker_nodes = get_other_nodes(cluster)
assert len(worker_nodes) > 0
for node in worker_nodes:
process = node.all_processes[component_type][0].process
if check_component_alive:
assert process.poll() is None
else:
print("waiting for " + component_type + " with PID " +
str(process.pid) + "to terminate")
process.wait()
print("done waiting for " + component_type + " with PID " +
str(process.pid) + "to terminate")
assert not process.poll() is None
@pytest.mark.parametrize(
"ray_start_cluster",
[{
"num_cpus": 8,
"num_nodes": 4,
"_system_config": {
# Raylet codepath is not stable with a shorter timeout.
"num_heartbeats_timeout": 10
},
}],
indirect=True)
def test_raylet_failed(ray_start_cluster):
cluster = ray_start_cluster
# Kill all raylets on worker nodes.
_test_component_failed(cluster, ray_constants.PROCESS_TYPE_RAYLET)
if __name__ == "__main__":
import pytest
sys.exit(pytest.main(["-v", __file__]))
| [
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]
| |
2f2a337de675580690d98717fd71b31a135f8197 | 209155f8a32bef23c9b02f5ec26a1f5935d319c0 | /tests/test_squeezedimd.py | 69974d322cf4bebb2a84a03558eefc6f67187780 | [
"Apache-2.0"
]
| permissive | wentaozhu/MONAI | ec154ca360714df8fcd55aa63506465c7949e1ff | 55025e07144b113f156b232b196c3ef1a765e02b | refs/heads/master | 2022-11-09T10:28:50.672985 | 2020-06-25T23:09:26 | 2020-06-25T23:09:26 | 274,224,027 | 2 | 1 | Apache-2.0 | 2020-06-22T19:22:59 | 2020-06-22T19:22:58 | null | UTF-8 | Python | false | false | 2,518 | py | # Copyright 2020 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
import torch
from parameterized import parameterized
from monai.transforms import SqueezeDimd
TEST_CASE_1 = [
{"keys": ["img", "seg"], "dim": None},
{"img": np.random.rand(1, 2, 1, 3), "seg": np.random.randint(0, 2, size=[1, 2, 1, 3])},
(2, 3),
]
TEST_CASE_2 = [
{"keys": ["img", "seg"], "dim": 2},
{"img": np.random.rand(1, 2, 1, 8, 16), "seg": np.random.randint(0, 2, size=[1, 2, 1, 8, 16])},
(1, 2, 8, 16),
]
TEST_CASE_3 = [
{"keys": ["img", "seg"], "dim": -1},
{"img": np.random.rand(1, 1, 16, 8, 1), "seg": np.random.randint(0, 2, size=[1, 1, 16, 8, 1])},
(1, 1, 16, 8),
]
TEST_CASE_4 = [
{"keys": ["img", "seg"]},
{"img": np.random.rand(1, 2, 1, 3), "seg": np.random.randint(0, 2, size=[1, 2, 1, 3])},
(2, 1, 3),
]
TEST_CASE_4_PT = [
{"keys": ["img", "seg"], "dim": 0},
{"img": torch.rand(1, 2, 1, 3), "seg": torch.randint(0, 2, size=[1, 2, 1, 3])},
(2, 1, 3),
]
TEST_CASE_5 = [
{"keys": ["img", "seg"], "dim": -2},
{"img": np.random.rand(1, 1, 16, 8, 1), "seg": np.random.randint(0, 2, size=[1, 1, 16, 8, 1])},
]
TEST_CASE_6 = [
{"keys": ["img", "seg"], "dim": 0.5},
{"img": np.random.rand(1, 1, 16, 8, 1), "seg": np.random.randint(0, 2, size=[1, 1, 16, 8, 1])},
]
class TestSqueezeDim(unittest.TestCase):
@parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4, TEST_CASE_4_PT])
def test_shape(self, input_param, test_data, expected_shape):
result = SqueezeDimd(**input_param)(test_data)
self.assertTupleEqual(result["img"].shape, expected_shape)
self.assertTupleEqual(result["seg"].shape, expected_shape)
@parameterized.expand([TEST_CASE_5, TEST_CASE_6])
def test_invalid_inputs(self, input_param, test_data):
with self.assertRaises(ValueError):
SqueezeDimd(**input_param)(test_data)
if __name__ == "__main__":
unittest.main()
| [
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]
| |
decbb3699bc8cd3376d79937ce5ff90ed552d6e5 | 0e0ce88c886370df9af51855115c99dfc003e5da | /2020/08_Flask/16_MONGOdb_and_Login_user/app/__init__.py | 96dcb3ff132ec6bfd8b7aa4b0b1c6f118af143e8 | []
| no_license | miguelzeph/Python_Git | ed80db9a4f060836203df8cc2e42e003b0df6afd | 79d3b00236e7f4194d2a23fb016b43e9d09311e6 | refs/heads/master | 2021-07-08T18:43:45.855023 | 2021-04-01T14:12:23 | 2021-04-01T14:12:23 | 232,007,012 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 455 | py | # Constructor and Config
from flask import Flask
from flask_pymongo import PyMongo
app = Flask(__name__)
app.config['SECRET_KEY'] = 'mysecretkey'
#################MONGODB######################
# MongoDB Config (Cadastrar no www.mlab.com)
app.config['MONGO_URI'] = "mongodb+srv://useradmin:[email protected]/MEU_DB?retryWrites=true&w=majority"
# Create Object MongoDB
mongo = PyMongo(app)
############################################## | [
"[email protected]"
]
| |
1a91963a5355142fb88137dc0520af04d28e21be | c8fd92a30a9ff7f8b3678398ad137b0350b907b8 | /config.py | 173287a0d803000c04dc4a237fe89f9190437745 | []
| no_license | maximilianh/repeatBrowser | 2634d487aeeb8edfb9f48096650cf2bf96251a26 | 76d55908d567ee5eda89dab9145d5f5652065bc5 | refs/heads/master | 2021-01-01T20:00:54.441883 | 2020-03-09T11:57:53 | 2020-03-09T11:57:53 | 20,178,839 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 330 | py | DB = "hg38"
#DB = "hg19"
TMPDIR = "/scratch/tmp"
# set to None to not use cluster
#CLUSTER=None
CLUSTER="ku"
TARGETPERC = 99 # percentile, for top50 consensus building
rmskTable = "rmskHmmer2020" # the rmsk table, usually it's rmsk, but you can specify a different one here
RMTORB = "data/rmToDfam.tab"
RBTORM = "data/rbToRm.tab"
| [
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]
| |
3d805adb218362378b581ac72b37a9ac9781147d | 781e2692049e87a4256320c76e82a19be257a05d | /all_data/exercism_data/python/bob/d7f1d7204e4f46fc8875f4aeefac75e3.py | 36daf78d07daeb7267f1f3306eef351eb9fe3518 | []
| no_license | itsolutionscorp/AutoStyle-Clustering | 54bde86fe6dbad35b568b38cfcb14c5ffaab51b0 | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | refs/heads/master | 2020-12-11T07:27:19.291038 | 2016-03-16T03:18:00 | 2016-03-16T03:18:42 | 59,454,921 | 4 | 0 | null | 2016-05-23T05:40:56 | 2016-05-23T05:40:56 | null | UTF-8 | Python | false | false | 260 | py | def hey(words):
if len(words.strip())==0:
return 'Fine. Be that way!'
elif words.isupper():
return 'Whoa, chill out!'
punctuation=words[-1]
if punctuation=='?':
return 'Sure.'
else:
return 'Whatever.'
| [
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]
| |
83dc2ea11d5703b80b5e91b05c61699d3b671f2b | f28aebe70dc265e0e2ecf3a02c19f1d20a750a92 | /perfil/views.py | 3c2e2a1d680890c1c1419ac0cf747b0d8060df93 | []
| no_license | linikerunk/E-commerce-liniker | 7fc1750d53ad8ad1e2c28537158324caaaf7d710 | c91376da3d18498fdf956e34d884a8ccca2c0d33 | refs/heads/master | 2020-09-28T08:25:12.794289 | 2020-01-09T02:06:26 | 2020-01-09T02:06:26 | 226,731,684 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,674 | py | from django.shortcuts import render, get_object_or_404, redirect
from django.views.generic import ListView
from django.views import View
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
import copy
from . import models
from . import forms
# Create your views here.
class BasePerfil(View):
template_name = 'perfil/criar.html'
def setup(self, *args, **kwargs):
super().setup(*args, **kwargs)
self.carrinho = copy.deepcopy(self.request.session.get('carrinho', {}))
self.perfil = None
if self.request.user.is_authenticated:
self.perfil = models.Perfil.objects.filter(
usuario=self.request.user).first()
self.contexto = {
'userform':forms.UserForm(
data=self.request.POST or None,
usuario=self.request.user,
instance=self.request.user,
),
'perfilform': forms.PerfilForm(
data=self.request.POST or None,
instance=self.perfil,
),
}
else:
self.contexto = {
'userform':forms.UserForm(
data=self.request.POST or None
),
'perfilform': forms.PerfilForm(
data=self.request.POST or None
),
}
self.userform = self.contexto['userform']
self.perfilform = self.contexto['perfilform']
if self.request.user.is_authenticated:
self.template_name = 'perfil/atualizar.html'
self.renderizar = render(self.request, self.template_name, self.contexto)
def get(self, *args, **kwargs):
return self.renderizar
class Criar(BasePerfil):
def post(self, *args, **kwargs):
if not self.userform.is_valid() or not self.perfilform.is_valid():
messages.error(
self.request,
'Existem erros no formulário de cadastro. Verifique se todos '
'os campos foram preenchidos corretamentes'
)
return self.renderizar
username = self.userform.cleaned_data.get('username')
password = self.userform.cleaned_data.get('password')
email = self.userform.cleaned_data.get('email')
first_name = self.userform.cleaned_data.get('first_name')
last_name = self.userform.cleaned_data.get('last_name')
# Usuário Logado
if self.request.user.is_authenticated:
usuario = get_object_or_404(User, username=self.request.user.username)
usuario.username = username
if password:
usuario.set_password(password)
usuario.email = email
usuario.first_name = first_name
usuario.last_name = last_name
usuario.save()
if not self.perfil:
self.perfilform.cleaned_data['usuario'] = usuario
print(self.perfilform.cleaned_data)
perfil = models.Perfil(**self.perfilform.cleaned_data)
perfil.save()
else:
perfil = self.perfilform.save(commit=False)
perfil.usuario = usuario
perfil.save()
#Usuário não logado (novo)
else:
usuario = self.userform.save(commit=False)
usuario.set_password(password)
usuario.save()
perfil = self.perfilform.save(commit=False)
perfil.usuario = usuario
perfil.save()
if password:
autentica = authenticate(self.request,
username=usuario,
password=password)
if autentica:
login(self.request, user=usuario)
self.request.session['carrinho'] = self.carrinho
self.request.session.save()
messages.success(
self.request,
'Seu cadastro foi criado ou atualizado com sucesso.')
messages.success(
self.request,
'Você fez login e pode concluir sua compra.')
return redirect('produto:carrinho')
return self.renderizar
class Atualizar(View):
def get(self, *args, **kwargs):
return HttpResponse('Atualizar')
class Login(View):
def post(self, *args, **kwargs):
username = self.request.POST.get('username')
password = self.request.POST.get('password')
if not username or not password:
messages.error(
self.request,
'Usuário ou senha invalidos.'
)
return redirect('perfil:criar')
usuario = authenticate(self.request, username=username, password=password)
if not usuario:
messages.error(
self.request,
'Usuário ou senha invalidos.'
)
return redirect('perfil:criar')
login(self.request, user=usuario)
messages.success(
self.request,
'Você fez login no sistema e pode concluir sua compra.'
)
return redirect('produto:carrinho')
class Logout(View):
def get(self, *args, **kwargs):
carrinho = copy.deepcopy(self.request.session.get('carrinho'))
logout(self.request)
self.request.session['carrinho'] = carrinho
self.request.session.save()
return redirect('produto:lista')
| [
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]
| |
0d8395c16985bc147b8ca2e583c5f5cace411878 | 7da288104b7ab242913f061dc39adb01b226db98 | /PathSupportSet/CandidatePredicatePathSupSet.py | ff351321e0825a22ebe4414b8da02b0bce7229ee | []
| no_license | cstmdzx/pyAnswer | fc1ba6a58b12a8478cf9e1cd79eb4ec4b46697ef | bb5c16510f25bb61d9618c4069c49fdb0672d417 | refs/heads/master | 2021-01-12T05:25:13.307037 | 2017-04-27T02:57:09 | 2017-04-27T02:57:09 | 77,926,338 | 0 | 0 | null | null | null | null | GB18030 | Python | false | false | 3,377 | py | # coding=gbk
# CandidatePredicatePathForRep format:RelationPhraseId~Predicate[f/b]Predicate[f/b]…~Predicate[f/b]Predicate[f/b]…
# generate Predicate/Path support set and record predicate candidates at the same time
import MySQLdb
import re
conn = MySQLdb.connect(host='localhost', user='root', password='password', db='dbpedia')
cur = conn.cursor()
filePredicatePathSupSet = open('PredicatePathSupSet', 'w')
fileCandidatePredicatePathForRep = open('CandidatePredicatePathForRep')
filePredicateCandidates = open('PredicatePathCandidates', 'w')
linesCandidatePredicatePathForRep = fileCandidatePredicatePathForRep.readlines()
dictPredicatePathCandidates = dict()
for eachLine in linesCandidatePredicatePathForRep:
eachLine = eachLine.replace('\n', '')
words = eachLine.split('~')
idRep = words[0]
del words[0] # 去掉最开始的relation phrase id
listPath = list()
for eachPath in words: # 一条路径
if eachPath in dictPredicatePathCandidates:
dictPredicatePathCandidates[eachPath] += '~' + idRep
else:
dictPredicatePathCandidates[eachPath] = idRep
wordsPath = eachPath.split(']')
dictResEntityPair = dict() # 保存截止当前路径的EntityPairs
for eachPredicate in wordsPath:
wordsPredicate = eachPredicate.split('[') # 路径中的每一条谓语
predicate = wordsPredicate[0]
direction = wordsPredicate[1]
sqlPredicateSO = 'select SO from P_SO WHERE Predicate = \'' + predicate.__str__() + '\''
cur.execute(sqlPredicateSO)
listSO = cur.fetchall() # 找出所有的SO
dictCurEntityPair = dict() # 将找出的SO处理成dict，方便后面做连接
for eachElement in listSO:
wordsSO = eachElement.split('s')
wordSubject = wordsSO[0]
wordObject = wordsSO[1]
if direction.__str__() == 'f':
dictCurEntityPair[wordSubject] = wordObject
else:
dictCurEntityPair[wordObject] = wordSubject
if dictResEntityPair.__len__() == 1:
dictResEntityPair = dictCurEntityPair
else:
for eachKey in dictResEntityPair:
# 把当前的node，连接到下一次要做匹配连接的那个node上
if eachKey in dictCurEntityPair:
# 其实就相当于把dictResEntityPair的key换成下一个node
dictResEntityPair[dictCurEntityPair[eachKey]] = dictResEntityPair[eachKey]
# 写入结果
filePredicatePathSupSet.write(eachPath)
for eachKey in dictResEntityPair:
filePredicatePathSupSet.write('~')
# 一定是先写value进去，然后再写key，因为连接方式
filePredicatePathSupSet.write(dictResEntityPair[eachKey] + '\t' + eachKey)
filePredicatePathSupSet.write('\n')
# 保存candidate
for eachCandidate in dictPredicatePathCandidates:
filePredicateCandidates.write(eachCandidate + '~' + dictPredicatePathCandidates[eachCandidate] + '\n')
cur.close()
conn.close()
filePredicateCandidates.close()
filePredicatePathSupSet.close()
fileCandidatePredicatePathForRep.close()
| [
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]
| |
7e16f267e522ad119638dc37559b9520b949a962 | 9b64f0f04707a3a18968fd8f8a3ace718cd597bc | /huaweicloud-sdk-dgc/huaweicloudsdkdgc/v1/model/resource_info.py | a14466abe6bbdbb7ed79a7a66a595ce0f83a8450 | [
"Apache-2.0"
]
| permissive | jaminGH/huaweicloud-sdk-python-v3 | eeecb3fb0f3396a475995df36d17095038615fba | 83ee0e4543c6b74eb0898079c3d8dd1c52c3e16b | refs/heads/master | 2023-06-18T11:49:13.958677 | 2021-07-16T07:57:47 | 2021-07-16T07:57:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,704 | py | # coding: utf-8
import re
import six
class ResourceInfo:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_types = {
'name': 'str',
'type': 'str',
'location': 'str',
'depend_files': 'list[str]',
'desc': 'str',
'directory': 'str'
}
attribute_map = {
'name': 'name',
'type': 'type',
'location': 'location',
'depend_files': 'dependFiles',
'desc': 'desc',
'directory': 'directory'
}
def __init__(self, name=None, type=None, location=None, depend_files=None, desc=None, directory=None):
"""ResourceInfo - a model defined in huaweicloud sdk"""
self._name = None
self._type = None
self._location = None
self._depend_files = None
self._desc = None
self._directory = None
self.discriminator = None
if name is not None:
self.name = name
if type is not None:
self.type = type
if location is not None:
self.location = location
if depend_files is not None:
self.depend_files = depend_files
if desc is not None:
self.desc = desc
if directory is not None:
self.directory = directory
@property
def name(self):
"""Gets the name of this ResourceInfo.
:return: The name of this ResourceInfo.
:rtype: str
"""
return self._name
@name.setter
def name(self, name):
"""Sets the name of this ResourceInfo.
:param name: The name of this ResourceInfo.
:type: str
"""
self._name = name
@property
def type(self):
"""Gets the type of this ResourceInfo.
:return: The type of this ResourceInfo.
:rtype: str
"""
return self._type
@type.setter
def type(self, type):
"""Sets the type of this ResourceInfo.
:param type: The type of this ResourceInfo.
:type: str
"""
self._type = type
@property
def location(self):
"""Gets the location of this ResourceInfo.
资源文件所在OBS路径
:return: The location of this ResourceInfo.
:rtype: str
"""
return self._location
@location.setter
def location(self, location):
"""Sets the location of this ResourceInfo.
资源文件所在OBS路径
:param location: The location of this ResourceInfo.
:type: str
"""
self._location = location
@property
def depend_files(self):
"""Gets the depend_files of this ResourceInfo.
:return: The depend_files of this ResourceInfo.
:rtype: list[str]
"""
return self._depend_files
@depend_files.setter
def depend_files(self, depend_files):
"""Sets the depend_files of this ResourceInfo.
:param depend_files: The depend_files of this ResourceInfo.
:type: list[str]
"""
self._depend_files = depend_files
@property
def desc(self):
"""Gets the desc of this ResourceInfo.
:return: The desc of this ResourceInfo.
:rtype: str
"""
return self._desc
@desc.setter
def desc(self, desc):
"""Sets the desc of this ResourceInfo.
:param desc: The desc of this ResourceInfo.
:type: str
"""
self._desc = desc
@property
def directory(self):
"""Gets the directory of this ResourceInfo.
资源所在目录
:return: The directory of this ResourceInfo.
:rtype: str
"""
return self._directory
@directory.setter
def directory(self, directory):
"""Sets the directory of this ResourceInfo.
资源所在目录
:param directory: The directory of this ResourceInfo.
:type: str
"""
self._directory = directory
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
return result
def to_str(self):
import simplejson as json
return json.dumps(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ResourceInfo):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| [
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]
| |
be6248f04c5613fc23898d6e6d3dc7a2c1d68df5 | b97f6b3f245eb2546156be00c7495aad1328de0b | /app/main/views.py | 2aea775cd3528e9d27dcd81f98d5ea236e9f7157 | [
"MIT"
]
| permissive | MutuaFranklin/BlogPool | 438e089432f86a6c36607e0ddd6bfbc1632e8be1 | d5781a62a1ad6e5242392dad28e41f536377a4a6 | refs/heads/main | 2023-07-17T12:58:29.352045 | 2021-08-24T08:22:46 | 2021-08-24T08:22:46 | 397,893,856 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,884 | py | from app.requests import get_quote
from . import main
from flask import render_template,request,redirect,url_for, abort, flash
from flask_login import login_required, current_user
from ..models import Quote, Subscriber, User, Blog, Comment
from .. import db,photos
from .forms import SubscriberForm, UpdateProfile, BlogForm, CommentForm
import markdown2
from ..email import mail_message
from sqlalchemy import desc
from werkzeug import secure_filename
@main.route('/')
def index():
'''
Index page
'''
blog_one = Blog.query.filter_by(blog_id=1).first()
blog_two = Blog.query.filter_by(blog_id=2).first()
blog_three = Blog.query.filter_by(blog_id=3).first()
quote = get_quote()
title = 'BlogPool'
return render_template('index.html', quote=quote, blog_one =blog_one, blog_two = blog_two, blog_three =blog_three, title=title)
@main.route('/home', methods= ['POST', 'GET'])
@login_required
def home():
'''
home page view rendered after authentication process.
'''
# blogs = Blog.query.all()
blogs = Blog.query.order_by(Blog.datetime_posted.desc()).all()
# if blogs is None:
# abort(404)
#format_blog = markdown2.markdown(blogs.blog_content,extras=["code-friendly", "fenced-code-blocks"])
title = 'BlogPool Home'
return render_template('home.html', title = title, blogs=blogs)
@main.route('/blog/blog-details/<int:id>',methods=['GET','POST'])
@login_required
def blog_details(id):
single_blog=Blog.query.get(id)
comments= Comment.query.filter_by(blog_id=id).all()
# comments = Comment.query.order_by(Comment.datetime_posted.desc()).all
commentForm=CommentForm()
if commentForm.validate_on_submit():
new_comment = Comment(blog_comment = commentForm.blog_comment.data,blog_id=single_blog.blog_id, user=current_user)
new_comment.save_comment()
return redirect (url_for ("main.blog_details", id= single_blog.blog_id))
title = 'Blog Details'
return render_template('blog_details.html',comments=comments,single_blog=single_blog, commentForm=commentForm, title=title)
@main.route('/user/<uname>')
@login_required
def profile(uname):
user = User.query.filter_by(username = uname).first()
if user is None:
abort(404)
blogs =Blog.query.filter_by(user=current_user)
return render_template("profile/profile.html", blogs = blogs,user=current_user)
@main.route('/user/<uname>/update',methods = ['GET','POST'])
@login_required
def update_profile(uname):
user = User.query.filter_by(username = uname).first()
if user is None:
abort(404)
form = UpdateProfile()
if form.validate_on_submit():
user.bio = form.bio.data
db.session.add(user)
db.session.commit()
return redirect(url_for('.profile',uname=user.username))
user = User.query.filter_by(username = uname).first()
if 'photo' in request.files:
filename = photos.save(request.files['photo'])
path = f'photos/{filename}'
user.profile_pic = path
db.session.commit()
return redirect(url_for('main.profile',uname=uname))
return render_template('profile/update.html',form =form)
@main.route('/user/<uname>/update/pic',methods=['GET','POST'])
@login_required
def update_pic(uname):
user = User.query.filter_by(username = uname).first()
if 'photo' in request.files:
filename = photos.save(request.files['photo'])
path = f'photos/{filename}'
user.profile_pic = path
db.session.commit()
return redirect(url_for('main.profile',uname=uname))
@main.route('/blog-submission',methods=['GET','POST'])
@login_required
def blog_submission():
blog_form = BlogForm()
sub_form = SubscriberForm()
if blog_form.validate_on_submit() and 'photo' in request.files:
filename = photos.save(request.files['photo'])
path=f'photos/{filename}'
new_blog = Blog(
blog_title = blog_form.title.data,
blog_content = blog_form.blog.data,
blog_category = blog_form.blog_category.data,
blog_image = path,
user=current_user)
new_blog.save_blog()
subscribers=Subscriber.query.all()
for subscriber in subscribers:
mail_message("New Blog Post","email/newPost/newPostAlert", subscriber.subscriber_email,blog=new_blog)
return redirect (url_for ("main.home"))
if sub_form.validate_on_submit():
new_subscriber = Subscriber(
subscriber_email = sub_form.subscriber_email.data
)
new_subscriber.save_subscriber()
flash('You have been successfully subscribed')
mail_message("Subscription alert","email/welcomeSubscriber/welcome_subscriber",new_subscriber.subscriber_email,subscriber=new_subscriber)
return redirect (url_for ("main.blog_submission"))
title = 'Blog Submission'
return render_template('blog_submission.html', title = title, blog_form=blog_form, sub_form = sub_form)
@main.route('/blog/editblog/<int:id>', methods=['GET', 'POST'])
@login_required
def edit_blog(id):
"""
Edit a blogpost
"""
sub_form = SubscriberForm()
blog_form = BlogForm()
blog = Blog.query.get(id)
if blog_form.validate_on_submit() and 'photo' in request.files:
filename = photos.save(request.files['photo'])
path=f'photos/{filename}'
blog.title=blog_form.title.data
blog.blog_category=blog_form.blog_category.data
blog.blog_content=blog_form.blog.data
user=current_user
blog.blog_image=path
db.session.commit()
subscribers=Subscriber.query.all()
for subscriber in subscribers:
mail_message("A blog update","email/updatePost/updatePostAlert", subscriber.subscriber_email, user = current_user)
return redirect (url_for ("main.home"))
elif request.method == 'GET':
blog_form.title.data = blog.blog_title
blog_form.blog_category.data = blog.blog_category
blog_form.blog.data = blog.blog_content
title = "Update Post"
return render_template('blog_submission.html', title = title, blog_form=blog_form, sub_form=sub_form)
@main.route('/blog/delete/<int:id>')
@login_required
def delete_blog(id):
blog = Blog.query.filter_by(blog_id =id).first()
if current_user.id == blog.user.id:
db.session.delete(blog)
db.session.commit()
return redirect(url_for('main.home'))
@main.route('/blog/comment/delete/<int:id>')
@login_required
def delete_comment(id):
comment = Comment.query.filter_by(id =id).first()
db.session.delete(comment)
db.session.commit()
return redirect(url_for('main.blog_details', id = comment.blog_id))
@main.route('/Business')
@login_required
def business():
title = 'Business Blogs'
h4 = 'Business Blogs'
random = "Business Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
@main.route('/lifestyle')
@login_required
def lifestyle():
title = 'Lifestyle Blogs'
h4 = 'Lifestyle Blogs'
random = "Lifestyle Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
@main.route('/technology')
@login_required
def technology():
title = 'Technology-Blogs'
h4 = 'Technology Blogs'
random = "Technology Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
@main.route('/fashion')
@login_required
def fashion():
title = 'Fashion-Blogs'
h4 = 'Fashion Blogs'
random = "Fashion Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
@main.route('/entertainment')
@login_required
def entertainment():
title = 'Entertainment Blogs'
h4 = 'Entertainment Blogs'
random = "Entertainment Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
@main.route('/sports')
@login_required
def sports():
title = 'Sports-Blogs'
h4 = 'Sports Blogs'
random = "Sports Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
@main.route('/Others')
@login_required
def other():
title = 'Other Blogs'
h4 = 'Other Blogs'
random = "Other Blog"
blogs = Blog.query.filter_by(blog_category =random).all()
return render_template('blog_categories.html', title = title, blogs=blogs, h4 =h4)
| [
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]
| |
56b342083fe99216f195da0c3369e49ae969dc03 | 43ede7b8fb546c00804c0ef94501f6e48ba170d6 | /Cursos Python/Análise de dados do zero. (PYTHON & PANDAS)/04 - Pandas DataFrame.py | 0731ed8b3a8a6bae993c69a735c235213f50e39c | []
| no_license | bopopescu/Python-13 | db407d17252473e78e705e563cfee4dbd316c6b9 | c8bef500f2d3e4a63d850f96dfa219eff2ecebda | refs/heads/master | 2022-11-22T16:24:08.490879 | 2020-06-11T14:22:24 | 2020-06-11T14:22:24 | 281,830,055 | 0 | 0 | null | 2020-07-23T02:26:31 | 2020-07-23T02:26:30 | null | UTF-8 | Python | false | false | 298 | py | import pandas as pd
coluna = ['Frutas']
itens = ['Laranja', 'maça', 'abacate']
df = pd.DataFrame(itens, columns=coluna)
print(df, '\n'*2)
coluna = ['Frutas', 'Preco']
itens = [['Laranja', 10], ['Maça', 10], ['Abacate', 15]]
df = pd.DataFrame(itens, columns=coluna, dtype=float)
print(df) | [
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]
| |
995822e51e2d34a880e4dc2ba08886ea425c6817 | 8b619e49c3b83778958ebdbe85b25c7182117ac0 | /settings.py | c821d3ed82cd0183cd3e3564514979c0846cf1da | []
| no_license | hellais/ooni.nu | c98417145304ce985c953b78d1a50f10154d5b60 | 763aff9a5a75e358c475cf1bf9fcdf6afc534266 | refs/heads/master | 2020-05-31T06:03:36.383462 | 2012-12-12T17:03:00 | 2012-12-12T17:03:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,735 | py | import os
here = lambda *x: os.path.join(os.path.abspath(os.path.dirname(__file__)), *x)
#Directories
LAYOUT_DIR = here('layout')
CONTENT_DIR = here('content')
MEDIA_DIR = here('media')
DEPLOY_DIR = here('deploy')
TMP_DIR = here('deploy_tmp')
BACKUPS_DIR = here('backups')
BACKUP = False
SITE_ROOT = "/"
SITE_WWW_URL = "http://www.ooni.nu"
SITE_NAME = "OONI"
SITE_AUTHOR = "Arturo Filasto'"
#URL Configuration
GENERATE_ABSOLUTE_FS_URLS = False
# Clean urls causes Hyde to generate urls without extensions. Examples:
# http://example.com/section/page.html becomes
# http://example.com/section/page/, and the listing for that section becomes
# http://example.com/section/
# The built-in CherryPy webserver is capable of serving pages with clean urls
# without any additional configuration, but Apache will need to use Mod_Rewrite
# to map the clean urls to the actual html files. The HtaccessGenerator site
# post processor is capable of automatically generating the necessary
# RewriteRules for use with Apache.
GENERATE_CLEAN_URLS = False
# A list of filenames (without extensions) that will be considered listing
# pages for their enclosing folders.
# LISTING_PAGE_NAMES = ['index']
LISTING_PAGE_NAMES = ['listing', 'index', 'default']
# Determines whether or not to append a trailing slash to generated urls when
# clean urls are enabled.
APPEND_SLASH = False
# {folder : extension : (processors)}
# The processors are run in the given order and are chained.
# Only a lone * is supported as an indicator for folders. Path
# should be specified. No wildcard card support yet.
# Starting under the media folder. For example, if you have media/css under
# your site root,you should specify just css. If you have media/css/ie you
# should specify css/ie for the folder name. css/* is not supported (yet).
# Extensions do not support wildcards.
MEDIA_PROCESSORS = {
'*':{
'.css':('hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.CSSmin',),
'.ccss':('hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.CleverCSS',
'hydeengine.media_processors.CSSmin',),
'.sass':('hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.SASS',
'hydeengine.media_processors.CSSmin',),
'.less':('hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.LessCSS',
'hydeengine.media_processors.CSSmin',),
'.styl':('hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.Stylus',
'hydeengine.media_processors.CSSmin',),
'.hss':(
'hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.HSS',
'hydeengine.media_processors.CSSmin',),
#'.js':(
# 'hydeengine.media_processors.TemplateProcessor',
# 'hydeengine.media_processors.JSmin',),
'.coffee':(
'hydeengine.media_processors.TemplateProcessor',
'hydeengine.media_processors.CoffeeScript',
'hydeengine.media_processors.JSmin',)
}
}
CONTENT_PROCESSORS = {
'prerendered/': {
'*.*' :
('hydeengine.content_processors.PassthroughProcessor',)
}
}
SITE_POST_PROCESSORS = {
# 'media/js': {
# 'hydeengine.site_post_processors.FolderFlattener' : {
# 'remove_processed_folders': True,
# 'pattern':"*.js"
# }
# }
}
CONTEXT = {
'GENERATE_CLEAN_URLS': GENERATE_CLEAN_URLS
}
FILTER = {
'include': (".htaccess",),
'exclude': (".*","*~")
}
#Processor Configuration
#
# Set this to the output of `which growlnotify`. If `which` returns emtpy,
# install growlnotify from the Extras package that comes with the Growl disk image.
#
#
GROWL = None
# path for YUICompressor, or None if you don't
# want to compress JS/CSS. Project homepage:
# http://developer.yahoo.com/yui/compressor/
#YUI_COMPRESSOR = "./lib/yuicompressor-2.4.2.jar"
YUI_COMPRESSOR = None
# path for Closure Compiler, or None if you don't
# want to compress JS/CSS. Project homepage:
# http://closure-compiler.googlecode.com/
#CLOSURE_COMPILER = "./lib/compiler.jar"
CLOSURE_COMPRILER = None
# path for HSS, which is a preprocessor for CSS-like files (*.hss)
# project page at http://ncannasse.fr/projects/hss
#HSS_PATH = "./lib/hss-1.0-osx"
HSS_PATH = None # if you don't want to use HSS
#Django settings
TEMPLATE_DIRS = (LAYOUT_DIR, CONTENT_DIR, TMP_DIR, MEDIA_DIR)
INSTALLED_APPS = (
'hydeengine',
'django.contrib.webdesign',
)
| [
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]
| |
b1c3e2d58b093839cd1bc3b86f002ea815f7bc28 | b3cd00de3608e5225758bb99b28d58320ce81a47 | /practice_20190516/set_practices.py | bb0c1042527f669ab59618349237b43efafce1f1 | []
| no_license | buyi823/learn_python | fc4ec7e35ec421842975956933cfb56371786d7a | b411d5277dba1764d421a267f0ba36da40d8c6e9 | refs/heads/master | 2022-05-13T01:05:35.961946 | 2022-05-09T15:20:52 | 2022-05-09T15:20:52 | 71,314,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | #!/usr/bin/python3
basket={'apple', 'orange', 'apple', 'pear', 'orange', 'banana'}
print(basket)
i = 'orange' in basket
print(i)
a = set('abracadabra')
b = set('alacazam')
print(a)
print(a-b) # 在 a 中的字母，但不在 b 中
print(a | b) # 在 a 或 b 中的字母
print(a & b) # 在 a 和 b 中都有的字母
print(a ^ b) # 在 a 或 b 中的字母，但不同时在 a 和 b 中
a = {x for x in 'abracadabra' if x not in 'abc'}
print(a) | [
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]
| |
5203e3e2fd16915c35a794b6a84738bbe3de2171 | 135f293948b38aa8eaa6ac31dde79f8bc091fe5b | /Estruturas de repetição em Python/Exercicio12.py | ee4e9bcc87e70a6ac7801efa3e2c0c3ff253416f | []
| no_license | Kaiquenakao/Python | 70e42b5fee08a3b50c34913f2f5763f07e754c25 | 008eefce828522b5107917dc699fc3590c7ef52c | refs/heads/master | 2023-08-12T17:03:24.317996 | 2021-09-25T22:31:46 | 2021-09-25T22:31:46 | 279,083,005 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 447 | py | """
12. Faça um programa que leia um número inteiro positivo N e imprima todos os números naturais
de 0 até N em ordem decrescente.
"""
try:
num = int(input('Insira um número positivo: '))
if num > 0:
for i in range(num, -1, -1):
print(i, end=' ')
else:
print('ERRO!!! O número não é positivo')
except ValueError:
print('ERRO!!!! Só pode ser digitados números inteiros positivos') | [
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]
| |
32ea6cd4e3873c9f26199e4214374be704126b4e | a26b214e60287af3c39e5ee40eae4d1869d596d0 | /train_imagenet.py | 6e46043cbac1543a40368e6cf5f624aad1ec7e09 | []
| no_license | beam2d/chainer-efficient-densenet | 17a326ba783d320dff310beb4f04a8873a9db6cf | 075b07450df9d030b943bca4f7d0fe52e838c55b | refs/heads/master | 2021-05-04T18:44:57.559524 | 2017-10-06T05:04:36 | 2017-10-06T05:10:39 | 105,968,804 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,103 | py | #!/usr/bin/env python
"""Example code of learning a large scale convnet from ILSVRC2012 dataset.
Prerequisite: To run this example, crop the center of ILSVRC2012 training and
validation images, scale them to 256x256 and convert them to RGB, and make
two lists of space-separated CSV whose first column is full path to image and
second column is zero-origin label (this format is same as that used by Caffe's
ImageDataLayer).
"""
from __future__ import print_function
import argparse
import random
import numpy as np
import chainer
from chainer import training
from chainer.training import extensions
import densenet
class PreprocessedDataset(chainer.dataset.DatasetMixin):
def __init__(self, path, root, mean, crop_size, random=True):
self.base = chainer.datasets.LabeledImageDataset(path, root)
self.mean = mean.astype('f')
self.crop_size = crop_size
self.random = random
def __len__(self):
return len(self.base)
def get_example(self, i):
# It reads the i-th image/label pair and return a preprocessed image.
# It applies following preprocesses:
# - Cropping (random or center rectangular)
# - Random flip
# - Scaling to [0, 1] value
crop_size = self.crop_size
image, label = self.base[i]
_, h, w = image.shape
if self.random:
# Randomly crop a region and flip the image
top = random.randint(0, h - crop_size - 1)
left = random.randint(0, w - crop_size - 1)
if random.randint(0, 1):
image = image[:, :, ::-1]
else:
# Crop the center
top = (h - crop_size) // 2
left = (w - crop_size) // 2
bottom = top + crop_size
right = left + crop_size
image = image[:, top:bottom, left:right]
image -= self.mean[:, top:bottom, left:right]
image *= (1.0 / 255.0) # Scale to [0, 1]
return image, label
def main():
parser = argparse.ArgumentParser(
description='Learning convnet from ILSVRC2012 dataset')
parser.add_argument('train', help='Path to training image-label list file')
parser.add_argument('val', help='Path to validation image-label list file')
parser.add_argument('--arch', '-a', default='DenseNetBC161',
help='DenseNet architecture')
parser.add_argument('--batchsize', '-B', type=int, default=32,
help='Learning minibatch size')
parser.add_argument('--epoch', '-E', type=int, default=10,
help='Number of epochs to train')
parser.add_argument('--gpu', '-g', type=int, default=-1,
help='GPU ID (negative value indicates CPU')
parser.add_argument('--initmodel',
help='Initialize the model from given file')
parser.add_argument('--loaderjob', '-j', type=int,
help='Number of parallel data loading processes')
parser.add_argument('--mean', '-m', default='mean.npy',
help='Mean file (computed by compute_mean.py)')
parser.add_argument('--resume', '-r', default='',
help='Initialize the trainer from given file')
parser.add_argument('--out', '-o', default='result',
help='Output directory')
parser.add_argument('--root', '-R', default='.',
help='Root directory path of image files')
parser.add_argument('--val_batchsize', '-b', type=int, default=250,
help='Validation minibatch size')
parser.add_argument('--test', action='store_true')
parser.set_defaults(test=False)
args = parser.parse_args()
# Initialize the model to train
model = chainer.links.Classifier(getattr(densenet, args.arch)())
if args.initmodel:
print('Load model from', args.initmodel)
chainer.serializers.load_npz(args.initmodel, model)
if args.gpu >= 0:
chainer.cuda.get_device_from_id(args.gpu).use() # Make the GPU current
model.to_gpu()
# Load the datasets and mean file
mean = np.load(args.mean)
train = PreprocessedDataset(args.train, args.root, mean, 224)
val = PreprocessedDataset(args.val, args.root, mean, 224, False)
# These iterators load the images with subprocesses running in parallel to
# the training/validation.
train_iter = chainer.iterators.MultiprocessIterator(
train, args.batchsize, n_processes=args.loaderjob)
val_iter = chainer.iterators.MultiprocessIterator(
val, args.val_batchsize, repeat=False, n_processes=args.loaderjob)
# Set up an optimizer
optimizer = chainer.optimizers.MomentumSGD(lr=0.01, momentum=0.9)
optimizer.setup(model)
# Set up a trainer
updater = training.StandardUpdater(train_iter, optimizer, device=args.gpu)
trainer = training.Trainer(updater, (args.epoch, 'epoch'), args.out)
val_interval = (10 if args.test else 100000), 'iteration'
log_interval = (10 if args.test else 1000), 'iteration'
trainer.extend(extensions.Evaluator(val_iter, model, device=args.gpu),
trigger=val_interval)
trainer.extend(extensions.dump_graph('main/loss'))
trainer.extend(extensions.snapshot(), trigger=val_interval)
trainer.extend(extensions.snapshot_object(
model, 'model_iter_{.updater.iteration}'), trigger=val_interval)
# Be careful to pass the interval directly to LogReport
# (it determines when to emit log rather than when to read observations)
trainer.extend(extensions.LogReport(trigger=log_interval))
trainer.extend(extensions.observe_lr(), trigger=log_interval)
trainer.extend(extensions.PrintReport([
'epoch', 'iteration', 'main/loss', 'validation/main/loss',
'main/accuracy', 'validation/main/accuracy', 'lr'
]), trigger=log_interval)
trainer.extend(extensions.ProgressBar(update_interval=10))
if args.resume:
chainer.serializers.load_npz(args.resume, trainer)
trainer.run()
if __name__ == '__main__':
main()
| [
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]
| |
81f06546a31f3a1d148091a703f3d6f664345263 | 42b30769e4c676014d3fd8753bc4b1bbcc2a3e3c | /eggs/bx_python-0.7.2-py2.6-linux-x86_64-ucs4.egg/EGG-INFO/scripts/bed_rand_intersect.py | 7f6ee25a6a4b19b8256296f2b0fe48ddc9262184 | [
"CC-BY-2.5",
"AFL-2.1",
"AFL-3.0",
"CC-BY-3.0",
"LicenseRef-scancode-unknown-license-reference"
]
| permissive | psnehal/MethylSig | 4e510685349b1712c92667d40e795fa798ee1702 | 5efad71e71ff2515feff2e49579c856ef9a1bbd8 | refs/heads/master | 2020-05-18T21:03:51.240410 | 2015-09-03T20:23:30 | 2015-09-03T20:23:30 | 26,826,252 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,927 | py | #!/afs/bx.psu.edu/project/pythons/py2.6-linux-x86_64-ucs4/bin/python2.6
"""
From a set of regions and two sets of intervals inside those regions
compute (for each region separately) the overlap between the two sets
of intervals and the overlap in `nsamples` random coverings of the
regions with intervals having the same lengths. Prints the z-score relative
to the mean and sample stdev of the random coverings.
Currently intervals must be in bed 3+ format.
TODO: There are a few versions of this floating around, including a
better/faster one using gap lists instead of bitsets. Need to track
that down and merge as necessary.
usage: %prog bounding_region_file intervals1 intervals2 nsamples
"""
from __future__ import division
import sys, random
import bisect
from bx_extras import stats
from Numeric import *
from bx.bitset import *
from bx.intervals.random_intervals import *
maxtries = 10
class MaxtriesException( Exception ):
pass
def bit_clone( bits ):
"""
Clone a bitset
"""
new = BitSet( bits.size )
new.ior( bits )
return new
def throw_random( lengths, mask ):
"""
Try multiple times to run 'throw_random'
"""
saved = None
for i in range( maxtries ):
try:
return throw_random_bits( lengths, mask )
except MaxtriesException, e:
saved = e
continue
raise e
def as_bits( region_start, region_length, intervals ):
"""
Convert a set of intervals overlapping a region of a chromosome into
a bitset for just that region with the bits covered by the intervals
set.
"""
bits = BitSet( region_length )
for chr, start, stop in intervals:
bits.set_range( start - region_start, stop - start )
return bits
def interval_lengths( bits ):
"""
Get the length distribution of all contiguous runs of set bits from
"""
end = 0
while 1:
start = bits.next_set( end )
if start == bits.size: break
end = bits.next_clear( start )
yield end - start
def count_overlap( bits1, bits2 ):
"""
Count the number of bits that overlap between two sets
"""
b = BitSet( bits1.size )
b |= bits1
b &= bits2
return b.count_range( 0, b.size )
def overlapping_in_bed( fname, r_chr, r_start, r_stop ):
"""
Get from a bed all intervals that overlap the region defined by
r_chr, r_start, r_stop.
"""
rval = []
for line in open( fname ):
if line.startswith( "#" ) or line.startswith( "track" ):
continue
fields = line.split()
chr, start, stop = fields[0], int( fields[1] ), int( fields[2] )
if chr == r_chr and start < r_stop and stop >= r_start:
rval.append( ( chr, max( start, r_start ), min( stop, r_stop ) ) )
return rval
def main():
region_fname = sys.argv[1]
mask_fname = sys.argv[2]
nsamples = int( sys.argv[3] )
intervals1_fname = sys.argv[4]
intervals2_fnames = sys.argv[5:]
nfeatures = len( intervals2_fnames )
total_actual = zeros( nfeatures )
# total_lengths1 = 0
total_lengths2 = zeros( nfeatures )
total_samples = zeros( ( nsamples, nfeatures ) )
for line in open( region_fname ):
# Load lengths for all intervals overlapping region
fields = line.split()
print >>sys.stderr, "Processing region:", fields[3]
r_chr, r_start, r_stop = fields[0], int( fields[1] ), int( fields[2] )
r_length = r_stop - r_start
# Load the mask
mask = overlapping_in_bed( mask_fname, r_chr, r_start, r_stop )
bits_mask = as_bits( r_start, r_length, mask )
bits_not_masked = bit_clone( bits_mask ); bits_not_masked.invert()
# Load the first set
intervals1 = overlapping_in_bed( intervals1_fname, r_chr, r_start, r_stop )
bits1 = as_bits( r_start, r_length, intervals1 )
# Intersect it with the mask
bits1.iand( bits_not_masked )
# Sanity checks
assert count_overlap( bits1, bits_mask ) == 0
# For each data set
for featnum, intervals2_fname in enumerate( intervals2_fnames ):
print >>sys.stderr, intervals2_fname
intervals2 = overlapping_in_bed( intervals2_fname, r_chr, r_start, r_stop )
bits2 = as_bits( r_start, r_length, intervals2 )
bits2.iand( bits_not_masked )
assert count_overlap( bits2, bits_mask ) == 0
# Observed values
actual_overlap = count_overlap( bits1, bits2 )
total_actual[featnum] += actual_overlap
# Sample
lengths2 = list( interval_lengths( bits2 ) )
total_lengths2[ featnum ] += sum( lengths2 )
for i in range( nsamples ):
# Build randomly covered bitmask for second set
random2 = throw_random( lengths2, bits_mask )
# Find intersection
random2 &= bits1
# Print amount intersecting
total_samples[ i, featnum ] += random2.count_range( 0, random2.size )
print >>sys.stderr, total_samples[ i, featnum ]
fraction_overlap = total_samples / total_lengths2
print "\t".join( intervals2_fnames )
print "\t".join( map( str, total_actual/total_lengths2 ) )
for row in fraction_overlap:
print "\t".join( map( str, row ) )
#print "total covered by first: %d, second: %d, overlap: %d" % ( total_lengths1, total_lengths2, total_actual )
print "observed overlap: %d, sample mean: %d, sample stdev: %d" % ( total_actual, stats.amean( total_samples ), stats.asamplestdev( total_samples ) )
print "z-score:", ( total_actual - stats.amean( total_samples ) ) / stats.asamplestdev( total_samples )
print "percentile:", sum( total_actual > total_samples ) / nsamples
if __name__ == "__main__":
main()
| [
"snehal@lnx-306501.(none)"
]
| snehal@lnx-306501.(none) |
935e668353281522257cae2c1d7cf7f920d7109b | ba182c0ef3f2d9be57454808e999972a44a17246 | /papis_zotero/__init__.py | cd4b219ea84afd857e3af21d24fe69025ec8f0c0 | []
| no_license | stuartthomas25/papis-zotero | 9bc1aea061a2a5653e3f8a2f0dca20ca6591f649 | 00911a6a94191715429649b36f99f32005db530a | refs/heads/master | 2023-01-20T14:53:53.738651 | 2020-12-03T01:27:27 | 2020-12-03T01:27:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,966 | py | import click
import os
import logging
import http.server
import papis_zotero.server
@click.group('zotero')
@click.help_option('-h', '--help')
def main():
"""
Zotero interface for papis
"""
pass
@main.command('serve')
@click.help_option('-h', '--help')
@click.option(
"--port",
help="Port to listen to",
default=papis_zotero.server.zotero_port,
type=int
)
@click.option(
"--address",
help="Address to bind",
default="localhost"
)
def serve(address, port):
"""Start a zotero-connector server"""
global logger
server_address = (address, port)
httpd = http.server.HTTPServer(
server_address,
papis_zotero.server.PapisRequestHandler
)
httpd.serve_forever()
@main.command('import')
@click.help_option('-h', '--help')
@click.option(
'-f', '--from-bibtex', 'from_bibtex',
help='Import zotero library from a bibtex dump, the files fields in '
'the bibtex files should point to valid paths',
default=None,
type=click.Path(exists=True)
)
@click.option(
'-s', '--from-sql', 'from_sql',
help='Path to the FOLDER where the "zotero.sqlite" file resides',
default=None,
type=click.Path(exists=True)
)
@click.option(
'-o', '--outfolder',
help='Folder to save the imported library',
type=str,
required=True
)
@click.option(
'--link',
help='Wether to link the pdf files or copy them',
default=None
)
def do_importer(from_bibtex, from_sql, outfolder, link):
"""Import zotero libraries into papis libraries
"""
import papis_zotero.bibtex
import papis_zotero.sql
if not os.path.exists(outfolder):
os.makedirs(outfolder)
if from_bibtex is not None:
papis_zotero.bibtex.add_from_bibtex(
from_bibtex, outfolder, link
)
elif from_sql is not None:
papis_zotero.sql.add_from_sql(
from_sql, outfolder
)
if __name__ == "__main__":
main()
| [
"[email protected]"
]
| |
e1a3e6b019db32d46d544ec8533a4e2420661ae1 | a5a99f646e371b45974a6fb6ccc06b0a674818f2 | /DPGAnalysis/Skims/python/TPGSkims_cfg.py | 72a0da830b6a2f7874b2e7bdbf09b435556f9e7a | [
"Apache-2.0"
]
| permissive | cms-sw/cmssw | 4ecd2c1105d59c66d385551230542c6615b9ab58 | 19c178740257eb48367778593da55dcad08b7a4f | refs/heads/master | 2023-08-23T21:57:42.491143 | 2023-08-22T20:22:40 | 2023-08-22T20:22:40 | 10,969,551 | 1,006 | 3,696 | Apache-2.0 | 2023-09-14T19:14:28 | 2013-06-26T14:09:07 | C++ | UTF-8 | Python | false | false | 6,095 | py | import FWCore.ParameterSet.Config as cms
process = cms.Process("SKIM")
process.configurationMetadata = cms.untracked.PSet(
version = cms.untracked.string('$Revision: 1.1 $'),
name = cms.untracked.string('$Source' ),
annotation = cms.untracked.string('TPG skim')
)
#
#
# This is for testing purposes.
#
#
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring(
# run 136066 lumi~500
'/store/data/Run2010A/MinimumBias/RECO/v1/000/136/066/18F6DB82-5566-DF11-B289-0030487CAF0E.root'),
secondaryFileNames = cms.untracked.vstring(
'/store/data/Run2010A/MinimumBias/RAW/v1/000/136/066/38D48BED-3C66-DF11-88A5-001D09F27003.root')
)
process.source.inputCommands = cms.untracked.vstring("keep *", "drop *_MEtoEDMConverter_*_*", "drop L1GlobalTriggerObjectMapRecord_hltL1GtObjectMap__HLT")
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(500)
)
#------------------------------------------
# Load standard sequences.
#------------------------------------------
process.load('Configuration/StandardSequences/MagneticField_AutoFromDBCurrent_cff')
process.load('Configuration/StandardSequences/GeometryIdeal_cff')
process.load("Configuration.StandardSequences.FrontierConditions_GlobalTag_cff")
process.GlobalTag.globaltag = 'GR10_P_V6::All'
process.load("Configuration/StandardSequences/RawToDigi_Data_cff")
process.load("Configuration/StandardSequences/Reconstruction_cff")
process.load('Configuration/EventContent/EventContent_cff')
#drop collections created on the fly
process.FEVTEventContent.outputCommands.append("drop *_MEtoEDMConverter_*_*")
process.FEVTEventContent.outputCommands.append("drop *_*_*_SKIM")
#
# Load common sequences
#
process.load('L1TriggerConfig.L1GtConfigProducers.L1GtTriggerMaskAlgoTrigConfig_cff')
process.load('L1TriggerConfig.L1GtConfigProducers.L1GtTriggerMaskTechTrigConfig_cff')
process.load('HLTrigger/HLTfilters/hltLevel1GTSeed_cfi')
##################################TPG Skims############################################
process.load('DPGAnalysis/Skims/singleMuonSkim_cff')
process.load('DPGAnalysis/Skims/singleElectronSkim_cff')
process.load('DPGAnalysis/Skims/muonTagProbeFilters_cff')
process.load('DPGAnalysis/Skims/electronTagProbeFilters_cff')
process.load('DPGAnalysis/Skims/singlePhotonSkim_cff')
process.load('DPGAnalysis/Skims/jetSkim_cff')
process.load('DPGAnalysis/Skims/METSkim_cff')
process.load('DPGAnalysis/Skims/singlePfTauSkim_cff')
#process.singleMuPt20SkimPath=cms.Path(process.singleMuPt20RecoQualitySeq)
#process.singleMuPt15SkimPath=cms.Path(process.singleMuPt15RecoQualitySeq)
#process.singleMuPt10SkimPath=cms.Path(process.singleMuPt10RecoQualitySeq)
process.singleMuPt5SkimPath=cms.Path(process.singleMuPt5RecoQualitySeq)
#process.singleElectronPt20SkimPath=cms.Path(process.singleElectronPt20RecoQualitySeq)
#process.singleElectronPt15SkimPath=cms.Path(process.singleElectronPt15RecoQualitySeq)
#process.singleElectronPt10SkimPath=cms.Path(process.singleElectronPt10RecoQualitySeq)
process.singleElectronPt5SkimPath=cms.Path(process.singleElectronPt5RecoQualitySeq)
#process.singlePhotonPt20SkimPath=cms.Path(process.singlePhotonPt20QualitySeq)
#process.singlePhotonPt15SkimPath=cms.Path(process.singlePhotonPt15QualitySeq)
#process.singlePhotonPt10SkimPath=cms.Path(process.singlePhotonPt10QualitySeq)
process.singlePhotonPt5SkimPath=cms.Path(process.singlePhotonPt5QualitySeq)
#process.muonZMMSkimPath=cms.Path(process.muonZMMRecoQualitySeq)
process.muonJPsiMMSkimPath=cms.Path(process.muonJPsiMMRecoQualitySeq)
#process.electronZEESkimPath=cms.Path(process.electronZEERecoQualitySeq)
process.jetSkimPath=cms.Path(process.jetRecoQualitySeq)
#process.METSkimPath=cms.Path(process.METQualitySeq)
process.singlePfTauPt15SkimPath=cms.Path(process.singlePfTauPt15QualitySeq)
process.outTPGSkim = cms.OutputModule("PoolOutputModule",
outputCommands = process.FEVTHLTALLEventContent.outputCommands,
fileName = cms.untracked.string("/tmp/azzi/TPGSkim.root"),
dataset = cms.untracked.PSet(
dataTier = cms.untracked.string('USER'),
filterName = cms.untracked.string('TPGSkim')
),
SelectEvents = cms.untracked.PSet(SelectEvents = cms.vstring(
#'singleMuPt20SkimPath',
#'singleMuPt15SkimPath',
#'singleMuPt10SkimPath',
'singleMuPt5SkimPath',
#'singleElectronPt20SkimPath',
#'singleElectronPt15SkimPath',
#'singleElectronPt10SkimPath',
'singleElectronPt5SkimPath',
#'singlePhotonPt20SkimPath',
#'singlePhotonPt15SkimPath',
#'singlePhotonPt10SkimPath',
'singlePhotonPt5SkimPath',
#'muonZMMSkimPath',
'muonJPsiMMSkimPath',
#'electronZEESkimPath',
'jetSkimPath',
#'METSkimPath',
'singlePfTauPt15SkimPath'))
)
###########################################################################
process.options = cms.untracked.PSet(
wantSummary = cms.untracked.bool(True)
)
process.outpath = cms.EndPath(process.outTPGSkim)
| [
"[email protected]"
]
| |
fb8c3504401a4296b74eeac355c5e856a62a0ccc | df2cbe914f463ad050d7ed26194424afbe3a0a52 | /odoo/addons/base/tests/test_float.py | 5e1db6c074f0a028378ea92042abb0810b5aa3dd | [
"Apache-2.0"
]
| permissive | SHIVJITH/Odoo_Machine_Test | 019ed339e995be980606a2d87a63312ddc18e706 | 310497a9872db7844b521e6dab5f7a9f61d365a4 | refs/heads/main | 2023-07-16T16:23:14.300656 | 2021-08-29T11:48:36 | 2021-08-29T11:48:36 | 401,010,175 | 0 | 0 | Apache-2.0 | 2021-08-29T10:13:58 | 2021-08-29T10:13:58 | null | UTF-8 | Python | false | false | 11,756 | py | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from math import log10
from odoo.tests.common import TransactionCase
from odoo.tools import float_compare, float_is_zero, float_repr, float_round, float_split, float_split_str
class TestFloatPrecision(TransactionCase):
""" Tests on float precision. """
def test_rounding_02(self):
""" Test rounding methods with 2 digits. """
currency = self.env.ref('base.EUR')
def try_round(amount, expected):
digits = max(0, -int(log10(currency.rounding)))
result = float_repr(currency.round(amount), precision_digits=digits)
self.assertEqual(result, expected, 'Rounding error: got %s, expected %s' % (result, expected))
try_round(2.674,'2.67')
try_round(2.675,'2.68') # in Python 2.7.2, round(2.675,2) gives 2.67
try_round(-2.675,'-2.68') # in Python 2.7.2, round(2.675,2) gives 2.67
try_round(0.001,'0.00')
try_round(-0.001,'-0.00')
try_round(0.0049,'0.00') # 0.0049 is closer to 0 than to 0.01, so should round down
try_round(0.005,'0.01') # the rule is to round half away from zero
try_round(-0.005,'-0.01') # the rule is to round half away from zero
try_round(6.6 * 0.175, '1.16') # 6.6 * 0.175 is rounded to 1.15 with epsilon = 53
try_round(-6.6 * 0.175, '-1.16')
def try_zero(amount, expected):
self.assertEqual(currency.is_zero(amount), expected,
"Rounding error: %s should be zero!" % amount)
try_zero(0.01, False)
try_zero(-0.01, False)
try_zero(0.001, True)
try_zero(-0.001, True)
try_zero(0.0046, True)
try_zero(-0.0046, True)
try_zero(2.68-2.675, False) # 2.68 - 2.675 = 0.005 -> rounds to 0.01
try_zero(2.68-2.676, True) # 2.68 - 2.675 = 0.004 -> rounds to 0.0
try_zero(2.676-2.68, True) # 2.675 - 2.68 = -0.004 -> rounds to -0.0
try_zero(2.675-2.68, False) # 2.675 - 2.68 = -0.005 -> rounds to -0.01
def try_compare(amount1, amount2, expected):
self.assertEqual(currency.compare_amounts(amount1, amount2), expected,
"Rounding error, compare_amounts(%s,%s) should be %s" % (amount1, amount2, expected))
try_compare(0.001, 0.001, 0)
try_compare(-0.001, -0.001, 0)
try_compare(0.001, 0.002, 0)
try_compare(-0.001, -0.002, 0)
try_compare(2.675, 2.68, 0)
try_compare(2.676, 2.68, 0)
try_compare(-2.676, -2.68, 0)
try_compare(2.674, 2.68, -1)
try_compare(-2.674, -2.68, 1)
try_compare(3, 2.68, 1)
try_compare(-3, -2.68, -1)
try_compare(0.01, 0, 1)
try_compare(-0.01, 0, -1)
def test_rounding_03(self):
""" Test rounding methods with 3 digits. """
def try_round(amount, expected, digits=3, method='HALF-UP'):
value = float_round(amount, precision_digits=digits, rounding_method=method)
result = float_repr(value, precision_digits=digits)
self.assertEqual(result, expected, 'Rounding error: got %s, expected %s' % (result, expected))
try_round(2.6745, '2.675')
try_round(-2.6745, '-2.675')
try_round(2.6744, '2.674')
try_round(-2.6744, '-2.674')
try_round(0.0004, '0.000')
try_round(-0.0004, '-0.000')
try_round(357.4555, '357.456')
try_round(-357.4555, '-357.456')
try_round(457.4554, '457.455')
try_round(-457.4554, '-457.455')
# Try some rounding value with rounding method UP instead of HALF-UP
# We use 8.175 because when normalizing 8.175 with precision_digits=3 it gives
# us 8175,0000000001234 as value, and if not handle correctly the rounding UP
# value will be incorrect (should be 8,175 and not 8,176)
try_round(8.175, '8.175', method='UP')
try_round(8.1751, '8.176', method='UP')
try_round(-8.175, '-8.175', method='UP')
try_round(-8.1751, '-8.176', method='UP')
try_round(-6.000, '-6.000', method='UP')
try_round(1.8, '2', 0, method='UP')
try_round(-1.8, '-2', 0, method='UP')
# Try some rounding value with rounding method DOWN instead of HALF-UP
# We use 2.425 because when normalizing 2.425 with precision_digits=3 it gives
# us 2424.9999999999995 as value, and if not handle correctly the rounding DOWN
# value will be incorrect (should be 2.425 and not 2.424)
try_round(2.425, '2.425', method='DOWN')
try_round(2.4249, '2.424', method='DOWN')
try_round(-2.425, '-2.425', method='DOWN')
try_round(-2.4249, '-2.424', method='DOWN')
try_round(-2.500, '-2.500', method='DOWN')
try_round(1.8, '1', 0, method='DOWN')
try_round(-1.8, '-1', 0, method='DOWN')
# Extended float range test, inspired by Cloves Almeida's test on bug #882036.
fractions = [.0, .015, .01499, .675, .67499, .4555, .4555, .45555]
expecteds = ['.00', '.02', '.01', '.68', '.67', '.46', '.456', '.4556']
precisions = [2, 2, 2, 2, 2, 2, 3, 4]
# Note: max precision for double floats is 53 bits of precision or
# 17 significant decimal digits
for magnitude in range(7):
for frac, exp, prec in zip(fractions, expecteds, precisions):
for sign in [-1,1]:
for x in range(0, 10000, 97):
n = x * 10 ** magnitude
f = sign * (n + frac)
f_exp = ('-' if f != 0 and sign == -1 else '') + str(n) + exp
try_round(f, f_exp, digits=prec)
def try_zero(amount, expected):
self.assertEqual(float_is_zero(amount, precision_digits=3), expected,
"Rounding error: %s should be zero!" % amount)
try_zero(0.0002, True)
try_zero(-0.0002, True)
try_zero(0.00034, True)
try_zero(0.0005, False)
try_zero(-0.0005, False)
try_zero(0.0008, False)
try_zero(-0.0008, False)
def try_compare(amount1, amount2, expected):
self.assertEqual(float_compare(amount1, amount2, precision_digits=3), expected,
"Rounding error, compare_amounts(%s,%s) should be %s" % (amount1, amount2, expected))
try_compare(0.0003, 0.0004, 0)
try_compare(-0.0003, -0.0004, 0)
try_compare(0.0002, 0.0005, -1)
try_compare(-0.0002, -0.0005, 1)
try_compare(0.0009, 0.0004, 1)
try_compare(-0.0009, -0.0004, -1)
try_compare(557.4555, 557.4556, 0)
try_compare(-557.4555, -557.4556, 0)
try_compare(657.4444, 657.445, -1)
try_compare(-657.4444, -657.445, 1)
# Rounding to unusual rounding units (e.g. coin values)
def try_round(amount, expected, precision_rounding=None, method='HALF-UP'):
value = float_round(amount, precision_rounding=precision_rounding, rounding_method=method)
result = float_repr(value, precision_digits=2)
self.assertEqual(result, expected, 'Rounding error: got %s, expected %s' % (result, expected))
try_round(-457.4554, '-457.45', precision_rounding=0.05)
try_round(457.444, '457.50', precision_rounding=0.5)
try_round(457.3, '455.00', precision_rounding=5)
try_round(457.5, '460.00', precision_rounding=5)
try_round(457.1, '456.00', precision_rounding=3)
try_round(2.5, '2.50', precision_rounding=0.05, method='DOWN')
try_round(-2.5, '-2.50', precision_rounding=0.05, method='DOWN')
def test_rounding_04(self):
""" check that proper rounding is performed for float persistence """
currency = self.env.ref('base.EUR')
currency_rate = self.env['res.currency.rate']
def try_roundtrip(value, expected, date):
rate = currency_rate.create({'name': date,
'rate': value,
'currency_id': currency.id})
self.assertEqual(rate.rate, expected,
'Roundtrip error: got %s back from db, expected %s' % (rate, expected))
# res.currency.rate no more uses 6 digits of precision by default, it now uses whatever precision it gets
try_roundtrip(10000.999999, 10000.999999, '2000-01-03')
#TODO re-enable those tests when tests are made on dedicated models
# (res.currency.rate don't accept negative value anymore)
#try_roundtrip(-2.6748955, -2.674896, '2000-01-02')
#try_roundtrip(-10000.999999, -10000.999999, '2000-01-04')
def test_float_split_05(self):
""" Test split method with 2 digits. """
currency = self.env.ref('base.EUR')
def try_split(value, expected, split_fun, rounding=None):
digits = max(0, -int(log10(currency.rounding))) if rounding is None else rounding
result = split_fun(value, precision_digits=digits)
self.assertEqual(result, expected, 'Split error: got %s, expected %s' % (result, expected))
try_split(2.674, ('2', '67'), float_split_str)
try_split(2.675, ('2', '68'), float_split_str) # in Python 2.7.2, round(2.675,2) gives 2.67
try_split(-2.675, ('-2', '68'), float_split_str) # in Python 2.7.2, round(2.675,2) gives 2.67
try_split(0.001, ('0', '00'), float_split_str)
try_split(-0.001, ('-0', '00'), float_split_str)
try_split(42, ('42', '00'), float_split_str)
try_split(0.1, ('0', '10'), float_split_str)
try_split(13.0, ('13', ''), float_split_str, rounding=0)
try_split(2.674, (2, 67), float_split)
try_split(2.675, (2, 68), float_split) # in Python 2.7.2, round(2.675,2) gives 2.67
try_split(-2.675, (-2, 68), float_split) # in Python 2.7.2, round(2.675,2) gives 2.67
try_split(0.001, (0, 0), float_split)
try_split(-0.001, (0, 0), float_split)
try_split(42, (42, 0), float_split)
try_split(0.1, (0, 10), float_split)
try_split(13.0, (13, 0), float_split, rounding=0)
def test_rounding_invalid(self):
""" verify that invalid parameters are forbidden """
with self.assertRaises(AssertionError):
float_is_zero(0.01, precision_digits=3, precision_rounding=0.01)
with self.assertRaises(AssertionError):
float_is_zero(0.0, precision_rounding=0.0)
with self.assertRaises(AssertionError):
float_is_zero(0.0, precision_rounding=-0.1)
with self.assertRaises(AssertionError):
float_compare(0.01, 0.02, precision_digits=3, precision_rounding=0.01)
with self.assertRaises(AssertionError):
float_compare(1.0, 1.0, precision_rounding=0.0)
with self.assertRaises(AssertionError):
float_compare(1.0, 1.0, precision_rounding=-0.1)
with self.assertRaises(AssertionError):
float_round(0.01, precision_digits=3, precision_rounding=0.01)
with self.assertRaises(AssertionError):
float_round(1.25, precision_rounding=0.0)
with self.assertRaises(AssertionError):
float_round(1.25, precision_rounding=-0.1)
def test_amount_to_text_10(self):
""" verify that amount_to_text works as expected """
currency = self.env.ref('base.EUR')
amount_target = currency.amount_to_text(0.29)
amount_test = currency.amount_to_text(0.28)
self.assertNotEqual(amount_test, amount_target,
"Amount in text should not depend on float representation")
| [
"[email protected]"
]
| |
e258217d26d20023322a814f0f6c42d13bc33285 | 049e2fab5e9e8f248e537cbada15d60d60536990 | /tests/gene_mutation_test.py | 253588490783ea22a34946025d9fd271cdd2e044 | [
"MIT"
]
| permissive | RubenPants/RobotSimulator2D | adfd8c16ec48b34419cae096d16e5e6714410407 | 334d7b9cab0edb22d4670cfaf39fbed76c351758 | refs/heads/master | 2023-05-14T20:09:44.604695 | 2020-07-11T14:16:58 | 2020-07-11T14:16:58 | 223,198,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,831 | py | """
genome_mutation_test.py
Test gene-specific operations.
"""
import os
import unittest
import numpy as np
from config import Config
from population.utils.genome_util.genes import ConnectionGene, GruNodeGene, OutputNodeGene, SimpleNodeGene
from utils.dictionary import *
def get_connection_gene(key, config):
return ConnectionGene(key, config)
def get_gru_node_gene(key, config):
return GruNodeGene(key, config, input_keys=[-1], input_keys_full=[-1, -2])
def get_output_node_gene(key, config):
return OutputNodeGene(key, config)
def get_simple_node_gene(key, config):
return SimpleNodeGene(key, config)
class SimpleNode(unittest.TestCase):
"""Test the SimpleNodeGene's mutation operations."""
def test_activation(self):
"""> Test if activation changes during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, activation is always one of the options
cfg = Config().genome
cfg.activation_default = "a"
cfg.activation_mutate_rate = 1.0
OPTIONS = {"a": 1, "b": 2, "c": 3}
cfg.activation_options = OPTIONS
gene = get_simple_node_gene(0, cfg)
changed = False
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.activation in OPTIONS.keys())
if gene.activation != "a": changed = True
self.assertTrue(changed) # Almost impossible that this failed
# Set mutation rate to 0, activation should not mutate
cfg.activation_default = "a"
cfg.activation_mutate_rate = 0.0
cfg.activation_options = OPTIONS
gene = get_simple_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.activation == 'a')
def test_aggregation(self):
"""> Test if aggregation changes during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, aggregation is always one of the options
cfg = Config().genome
cfg.aggregation_default = "a"
cfg.aggregation_mutate_rate = 1.0
OPTIONS = {"a": 1, "b": 2, "c": 3}
cfg.aggregation_options = OPTIONS
gene = get_simple_node_gene(0, cfg)
changed = False
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.aggregation in OPTIONS.keys())
if gene.aggregation != "a": changed = True
self.assertTrue(changed) # Almost impossible that this failed
# Set mutation rate to 0, aggregation should not mutate
cfg.aggregation_default = "a"
cfg.aggregation_mutate_rate = 0.0
cfg.aggregation_options = OPTIONS
gene = get_simple_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.aggregation == 'a')
def test_bias(self):
"""> Test if the bias remains inside its boundaries during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, bias remains inside its boundary
cfg = Config().genome
cfg.bias_mutate_rate = 0.5
cfg.bias_replace_rate = 0.5
cfg.bias_min_value = -0.1
cfg.bias_max_value = 0.1
gene = get_simple_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(-0.1 <= gene.bias <= 0.1)
# Set mutation rate to 0, no change should happen
cfg.bias_mutate_rate = 0
cfg.bias_replace_rate = 0
gene = get_simple_node_gene(0, cfg)
init_bias = gene.bias
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.bias == init_bias)
# Set mutation power to 0, no change should happen
cfg.bias_mutate_rate = 1
cfg.bias_replace_rate = 0
cfg.bias_mutate_power = 0
gene = get_simple_node_gene(0, cfg)
init_bias = gene.bias
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.bias == init_bias)
class OutputNode(unittest.TestCase):
"""Test the OutputNodeGene's mutation operations."""
def test_activation(self):
"""> Test if activation remains tanh after mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, activation is always one of the options
cfg = Config().genome
cfg.activation_default = "a"
cfg.activation_mutate_rate = 1.0
OPTIONS = {"a": 1, "b": 2, "c": 3}
cfg.activation_options = OPTIONS
gene = get_output_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(gene.activation, D_TANH)
def test_aggregation(self):
"""> Test if aggregation changes during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, aggregation is always one of the options
cfg = Config().genome
cfg.aggregation_default = "a"
cfg.aggregation_mutate_rate = 1.0
OPTIONS = {"a": 1, "b": 2, "c": 3}
cfg.aggregation_options = OPTIONS
gene = get_output_node_gene(0, cfg)
changed = False
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.aggregation in OPTIONS.keys())
if gene.aggregation != "a": changed = True
self.assertTrue(changed) # Almost impossible that this failed
# Set mutation rate to 0, aggregation should not mutate
cfg.aggregation_default = "a"
cfg.aggregation_mutate_rate = 0.0
cfg.aggregation_options = OPTIONS
gene = get_output_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.aggregation == 'a')
def test_bias(self):
"""> Test if the bias remains inside its boundaries during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, bias remains inside its boundary
cfg = Config().genome
cfg.bias_mutate_rate = 0.5
cfg.bias_replace_rate = 0.5
cfg.bias_min_value = -0.1
cfg.bias_max_value = 0.1
gene = get_output_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(-0.1 <= gene.bias <= 0.1)
# Set mutation rate to 0, no change should happen
cfg.bias_mutate_rate = 0
cfg.bias_replace_rate = 0
gene = get_output_node_gene(0, cfg)
init_bias = gene.bias
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.bias == init_bias)
# Set mutation power to 0, no change should happen
cfg.bias_mutate_rate = 1
cfg.bias_replace_rate = 0
cfg.bias_mutate_power = 0
gene = get_output_node_gene(0, cfg)
init_bias = gene.bias
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.bias == init_bias)
class GruNode(unittest.TestCase):
"""Test the GruNodeGene's mutation operations."""
def test_activation(self):
"""> Test if activation changes during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, activation is always one of the options
cfg = Config().genome
cfg.activation_default = "a"
cfg.activation_mutate_rate = 1.0
OPTIONS = {"a": 1, "b": 2, "c": 3}
cfg.activation_options = OPTIONS
gene = get_gru_node_gene(0, cfg)
changed = False
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.activation in OPTIONS.keys())
if gene.activation != "a": changed = True
self.assertTrue(changed) # Almost impossible that this failed
# Set mutation rate to 0, activation should not mutate
cfg.activation_default = "a"
cfg.activation_mutate_rate = 0.0
cfg.activation_options = OPTIONS
gene = get_gru_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.activation == 'a')
def test_bias(self):
"""> Test if bias is left unchanged during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, bias remains equal to zero
cfg = Config().genome
cfg.bias_mutate_rate = 0.5
cfg.bias_replace_rate = 0.5
gene = get_gru_node_gene(0, cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(gene.bias, 0)
def test_bias_hh(self):
"""> Test if bias_hh behaves as expected"""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, bias_hh's values remain inside the set boundary
cfg = Config().genome
cfg.gru_mutate_rate = 0.5
cfg.gru_replace_rate = 0.5
cfg.gru_min_value = -0.1
cfg.gru_max_value = 0.1
gene = get_gru_node_gene(0, cfg)
changed = False
init_bias_hh = gene.bias_hh.copy()
for _ in range(100):
gene.mutate(cfg)
for value in gene.bias_hh:
self.assertTrue(-0.1 <= value <= 0.1)
if np.linalg.norm(gene.bias_hh - init_bias_hh) > 0: changed = True
self.assertTrue(changed)
# Set mutation rate to 0, no change should happen
cfg.gru_mutate_rate = 0
cfg.gru_replace_rate = 0
gene = get_gru_node_gene(0, cfg)
init_bias_hh = gene.bias_hh.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.bias_hh - init_bias_hh), 0)
# Set mutation power to 0, no change should happen
cfg.gru_mutate_rate = 1
cfg.gru_replace_rate = 0
cfg.gru_mutate_power = 0
gene = get_gru_node_gene(0, cfg)
init_bias_hh = gene.bias_hh.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.bias_hh - init_bias_hh), 0)
def test_bias_ih(self):
"""> Test if bias_ih behaves as expected"""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, bias_ih's values remain inside the set boundary
cfg = Config().genome
cfg.gru_mutate_rate = 0.5
cfg.gru_replace_rate = 0.5
cfg.gru_min_value = -0.1
cfg.gru_max_value = 0.1
gene = get_gru_node_gene(0, cfg)
changed = False
init_bias_ih = gene.bias_ih.copy()
for _ in range(100):
gene.mutate(cfg)
for value in gene.bias_ih:
self.assertTrue(-0.1 <= value <= 0.1)
if np.linalg.norm(gene.bias_ih - init_bias_ih) > 0: changed = True
self.assertTrue(changed)
# Set mutation rate to 0, no change should happen
cfg.gru_mutate_rate = 0
cfg.gru_replace_rate = 0
gene = get_gru_node_gene(0, cfg)
init_bias_ih = gene.bias_ih.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.bias_ih - init_bias_ih), 0)
# Set mutation power to 0, no change should happen
cfg.gru_mutate_rate = 1
cfg.gru_replace_rate = 0
cfg.gru_mutate_power = 0
gene = get_gru_node_gene(0, cfg)
init_bias_ih = gene.bias_ih.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.bias_ih - init_bias_ih), 0)
def test_weight_hh(self):
"""> Test if weight_hh behaves as expected"""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, weight_hh's values remain inside the set boundary
cfg = Config().genome
cfg.gru_mutate_rate = 0.5
cfg.gru_replace_rate = 0.5
cfg.gru_min_value = -0.1
cfg.gru_max_value = 0.1
gene = get_gru_node_gene(0, cfg)
changed = False
init_weight_hh = gene.weight_hh.copy()
for _ in range(100):
gene.mutate(cfg)
for value in gene.weight_hh:
self.assertTrue(-0.1 <= value <= 0.1)
if np.linalg.norm(gene.weight_hh - init_weight_hh) > 0: changed = True
self.assertTrue(changed)
# Set mutation rate to 0, no change should happen
cfg.gru_mutate_rate = 0
cfg.gru_replace_rate = 0
gene = get_gru_node_gene(0, cfg)
init_weight_hh = gene.weight_hh.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.weight_hh - init_weight_hh), 0)
# Set mutation power to 0, no change should happen
cfg.gru_mutate_rate = 1
cfg.gru_replace_rate = 0
cfg.gru_mutate_power = 0
gene = get_gru_node_gene(0, cfg)
init_weight_hh = gene.weight_hh.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.weight_hh - init_weight_hh), 0)
def test_weight_ih(self):
"""> Test if weight_ih behaves as expected"""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# Test on shape of weight_ih
cfg = Config().genome
gene = get_gru_node_gene(0, cfg)
self.assertEqual(gene.weight_ih.shape, (3, 1))
# After mutations, weight_ih's values remain inside the set boundary
cfg.gru_mutate_rate = 0.5
cfg.gru_replace_rate = 0.5
cfg.gru_min_value = -0.1
cfg.gru_max_value = 0.1
gene = get_gru_node_gene(0, cfg)
changed = False
init_weight_ih = gene.weight_ih.copy()
for _ in range(100):
gene.mutate(cfg)
gene.update_weight_ih()
for value in gene.weight_ih:
for v in value:
self.assertTrue(-0.1 <= value <= 0.1)
if np.linalg.norm(gene.weight_ih - init_weight_ih) > 0: changed = True
self.assertTrue(changed)
# Set mutation rate to 0, no change should happen
cfg.gru_mutate_rate = 0
cfg.gru_replace_rate = 0
gene = get_gru_node_gene(0, cfg)
init_weight_ih = gene.weight_ih.copy()
for _ in range(100):
gene.mutate(cfg)
gene.update_weight_ih()
self.assertEqual(np.linalg.norm(gene.weight_ih - init_weight_ih), 0)
# Set mutation power to 0, no change should happen
cfg.gru_mutate_rate = 1
cfg.gru_replace_rate = 0
cfg.gru_mutate_power = 0
gene = get_gru_node_gene(0, cfg)
init_weight_ih = gene.weight_ih.copy()
for _ in range(100):
gene.mutate(cfg)
gene.update_weight_ih()
self.assertEqual(np.linalg.norm(gene.weight_ih - init_weight_ih), 0)
def test_weight_ih_full(self):
"""> Test if weight_ih_full behaves as expected"""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# Test on shape of weight_ih_full
cfg = Config().genome
gene = get_gru_node_gene(0, cfg)
self.assertEqual(gene.weight_ih_full.shape, (3, 2))
# After mutations, weight_ih_full's values remain inside the set boundary
cfg.gru_mutate_rate = 0.5
cfg.gru_replace_rate = 0.5
cfg.gru_min_value = -0.1
cfg.gru_max_value = 0.1
gene = get_gru_node_gene(0, cfg)
changed = False
init_weight_ih_full = gene.weight_ih_full.copy()
for _ in range(100):
gene.mutate(cfg) # No update_weight_ih must be called
for value in gene.weight_ih_full:
for v in value:
self.assertTrue(-0.1 <= v <= 0.1)
if np.linalg.norm(gene.weight_ih_full - init_weight_ih_full) > 0: changed = True
self.assertTrue(changed)
# Set mutation rate to 0, no change should happen
cfg.gru_mutate_rate = 0
cfg.gru_replace_rate = 0
gene = get_gru_node_gene(0, cfg)
init_weight_ih_full = gene.weight_ih_full.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.weight_ih_full - init_weight_ih_full), 0)
# Set mutation power to 0, no change should happen
cfg.gru_mutate_rate = 1
cfg.gru_replace_rate = 0
cfg.gru_mutate_power = 0
gene = get_gru_node_gene(0, cfg)
init_weight_ih_full = gene.weight_ih_full.copy()
for _ in range(100):
gene.mutate(cfg)
self.assertEqual(np.linalg.norm(gene.weight_ih_full - init_weight_ih_full), 0)
class Connection(unittest.TestCase):
"""Test the ConnectionGene's mutation operations."""
def test_enabled(self):
"""> Test if enabled changes during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# Test the enabled defaults
cfg = Config().genome
cfg.enabled_default = False
gene = get_connection_gene((-1, 0), cfg)
self.assertFalse(gene.enabled)
cfg.enabled_default = True
gene = get_connection_gene((-1, 0), cfg)
self.assertTrue(gene.enabled)
# Enabled state should change during mutation
cfg.enabled_mutate_rate = 1
changed = False
gene = get_connection_gene((-1, 0), cfg)
init_enabled = gene.enabled
for _ in range(100):
gene.enabled = gene.mutate(cfg)
if gene.enabled != init_enabled:
changed = True
break
self.assertTrue(changed)
def test_weight(self):
"""> Test if the weight remains inside its boundaries during mutation."""
# Folder must be root to load in make_net properly
if os.getcwd().split('\\')[-1] == 'tests': os.chdir('..')
# After mutations, weight remains inside its boundary
cfg = Config().genome
cfg.weight_mutate_rate = 0.5
cfg.weight_replace_rate = 0.5
cfg.weight_min_value = -0.1
cfg.weight_max_value = 0.1
gene = get_connection_gene((-1, 0), cfg)
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(-0.1 <= gene.weight <= 0.1)
# Set mutation rate to 0, no change should happen
cfg.weight_mutate_rate = 0
cfg.weight_replace_rate = 0
gene = get_connection_gene((-1, 0), cfg)
init_weight = gene.weight
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.weight == init_weight)
# Set mutation power to 0, no change should happen
cfg.weight_mutate_rate = 1
cfg.weight_replace_rate = 0
cfg.weight_mutate_power = 0
gene = get_connection_gene((-1, 0), cfg)
init_weight = gene.weight
for _ in range(100):
gene.mutate(cfg)
self.assertTrue(gene.weight == init_weight)
def main():
# Test the SimpleNodeGene
sn = SimpleNode()
sn.test_activation()
sn.test_aggregation()
sn.test_bias()
# Test the OutputNodeGene
on = OutputNode()
on.test_activation()
on.test_aggregation()
on.test_bias()
# Test the GruNodeGene
gn = GruNode()
gn.test_activation()
gn.test_bias()
gn.test_bias_hh()
gn.test_bias_ih()
gn.test_weight_hh()
gn.test_weight_ih()
gn.test_weight_ih_full()
# Test the ConnectionGene
c = Connection()
c.test_enabled()
c.test_weight()
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
]
| |
ed4f99a3e62f56ae2dd93f7d11c01a2a3a0fb38d | 360486e860db3c34c01a4fbd6d161d22df4ac403 | /catalog-configs/Beta_Cell/Biosample.py | d7993b73417c1e766d4e5008e7acde3bf6720c52 | [
"Apache-2.0"
]
| permissive | informatics-isi-edu/betacell-consortium | 915076c0dfe491d8d18bc8037ea969f71a275f66 | 41e27ff2690e5cc192a2ba3cf95c5b6973eb6550 | refs/heads/master | 2021-07-06T13:31:17.980760 | 2019-02-16T16:32:54 | 2019-02-16T16:32:54 | 136,740,712 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,618 | py | import argparse
from attrdict import AttrDict
from deriva.core import ErmrestCatalog, get_credential, DerivaPathError
import deriva.core.ermrest_model as em
from deriva.core.ermrest_config import tag as chaise_tags
from deriva.utils.catalog.manage.update_catalog import CatalogUpdater, parse_args
groups = {
'pbcconsortium-reader': 'https://auth.globus.org/aa5a2f6e-53e8-11e8-b60b-0a7c735d220a',
'pbcconsortium-curator': 'https://auth.globus.org/da80b96c-edab-11e8-80e2-0a7c1eab007a',
'pbcconsortium-writer': 'https://auth.globus.org/6a96ec62-7032-11e8-9132-0a043b872764',
'pbcconsortium-admin': 'https://auth.globus.org/80df6c56-a0e8-11e8-b9dc-0ada61684422',
'isrd-staff': 'https://auth.globus.org/176baec4-ed26-11e5-8e88-22000ab4b42b',
'isrd-testers': 'https://auth.globus.org/9d596ac6-22b9-11e6-b519-22000aef184d'
}
table_name = 'Biosample'
schema_name = 'Beta_Cell'
column_annotations = {
'RCB': {
chaise_tags.display: {
'markdown_name': 'Creator'
},
chaise_tags.column_display: {
'*': {
'markdown_pattern': '{{{$fkeys.Beta_Cell.Biosample_RCB_Fkey.values._display_name}}}'
}
}
},
'Sample_Position': {},
'Specimen': {},
'Specimen_Type': {},
'Experiment': {},
'Protocol': {},
'Container_Id': {},
'Owner': {
chaise_tags.column_display: {
'*': {
'markdown_pattern': '{{{$fkeys.Beta_Cell.Biosample_Owner_Fkey.values._display_name}}}'
}
}
}
}
column_comment = {
'Sample_Position': 'Position in the capillary where the sample is located.',
'Specimen': 'Biological material used for the biosample.',
'Specimen_Type': 'Method by which specimen is prepared.',
'Experiment': 'Experiment in which this biosample is used',
'Protocol': 'Biosample protocol.',
'Container_Id': 'ID number of the container with the biosample. Is a number'
}
column_acls = {}
column_acl_bindings = {}
column_defs = [
em.Column.define('Dataset', em.builtin_types['text'], nullok=False,
),
em.Column.define('Summary', em.builtin_types['text'],
),
em.Column.define('Collection_Date', em.builtin_types['date'],
),
em.Column.define(
'Sample_Position', em.builtin_types['int2'], comment=column_comment['Sample_Position'],
),
em.Column.define('Specimen', em.builtin_types['text'], comment=column_comment['Specimen'],
),
em.Column.define(
'Specimen_Type', em.builtin_types['text'], comment=column_comment['Specimen_Type'],
),
em.Column.define(
'Experiment', em.builtin_types['ermrest_rid'], comment=column_comment['Experiment'],
),
em.Column.define('Protocol', em.builtin_types['text'], comment=column_comment['Protocol'],
),
em.Column.define(
'Container_Id', em.builtin_types['int2'], comment=column_comment['Container_Id'],
),
em.Column.define('Owner', em.builtin_types['text'], annotations=column_annotations['Owner'],
),
]
display = {}
visible_columns = {
'*': [
['Beta_Cell', 'Biosample_Key'], 'RCB', 'Owner',
{
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Dataset_FKey']
}, 'RID'],
'markdown_name': 'Dataset'
}, 'Summary', {
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, 'RID']
},
{
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Experiment_FKey']
}, 'RID'],
'markdown_name': 'Experiment'
},
{
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Cell_Line_FKey']
}, {
'outbound': ['Beta_Cell', 'Cell_Line_Cell_Line_Terms_FKey']
}, 'name'
],
'markdown_name': 'Cell Line'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Additive_Term_Protocol_Step_FKey']
}, {
'outbound': ['Beta_Cell', 'Protocol_Step_Additive_Term_Additive_Term_FKey']
}, 'RID'
],
'comment': 'Compound used to treat the cell line for the Experiment',
'aggregate': 'array',
'markdown_name': 'Additive'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Additive_Term_Protocol_Step_FKey']
}, 'Additive_Concentration'
],
'comment': 'Concentration of additive applied to cell line in mM',
'aggregate': 'array',
'markdown_name': 'Concentration'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, 'Duration'
],
'comment': 'Duration in minutes of additive applied to cell line in ',
'aggregate': 'array',
'markdown_name': 'Duration'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, {
'outbound': ['Beta_Cell', 'Protocol_Step_Cellular_Location_Term_FKey']
}, 'RID'
],
'comment': 'Part of the cell from which the biosample was taken',
'markdown_name': 'Cellular Location'
}, ['Beta_Cell', 'Biosample_Specimen_Type_FKey'], 'Container_Id', 'Sample_Position',
'Collection_Date'
],
'entry': [
{
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Owner_Fkey']
}, 'id']
},
{
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Dataset_FKey']
}, 'RID'],
'markdown_name': 'Dataset'
},
{
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Experiment_FKey']
}, 'RID'],
'markdown_name': 'Experiment'
}, ['Beta_Cell', 'Biosample_Protocol_FKey'], ['Beta_Cell', 'Biosample_Specimen_FKey'],
['Beta_Cell', 'Biosample_Specimen_Type_FKey'], 'Container_Id',
{
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Protocol_FKey']
}, 'Description']
}, 'Sample_Position', 'collection_date'
],
'filter': {
'and': [
{
'entity': True,
'source': 'RID'
}, {
'source': [{
'outbound': ['Beta_Cell', 'Biosample_Dataset_FKey']
}, 'RID']
},
{
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Cell_Line_FKey']
}, {
'outbound': ['Beta_Cell', 'Cell_Line_Cell_Line_Terms_FKey']
}, 'name'
],
'markdown_name': 'Cell Line'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, {
'outbound': ['Beta_Cell', 'Protocol_Step_Cellular_Location_Term_FKey']
}, 'name'
],
'comment': 'Part of the cell from which the biosample was taken',
'markdown_name': 'Cellular Location'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Additive_Term_Protocol_Step_FKey']
}, {
'outbound': ['Beta_Cell', 'Protocol_Step_Additive_Term_Additive_Term_FKey']
}, 'RID'
],
'comment': 'Additives used to treat the cell line for the Experiment',
'aggregate': 'array',
'markdown_name': 'Additive'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Additive_Term_Protocol_Step_FKey']
}, 'Additive_Concentration'
],
'comment': 'Concentration of additive applied to cell line in mM',
'ux_mode': 'choices',
'aggregate': 'array',
'markdown_name': 'Concentration'
},
{
'entity': True,
'source': [
{
'outbound': ['Beta_Cell', 'Biosample_Specimen_FKey']
}, {
'outbound': ['Beta_Cell', 'Specimen_Protocol_FKey']
}, {
'inbound': ['Beta_Cell', 'Protocol_Step_Protocol_FKey']
}, 'Duration'
],
'comment': 'Duration in minutes of additive applied to cell line in ',
'ux_mode': 'choices',
'aggregate': 'array',
'markdown_name': 'Duration'
}, ['Beta_Cell', 'Biosample_Specimen_Type_FKey'],
{
'source': [{
'inbound': ['isa', 'mesh_data_biosample_fkey']
}, 'url']
}, {
'source': [
{
'inbound': ['Beta_Cell', 'XRay_Tomography_Data_Biosample_FKey']
}, 'RID'
]
},
{
'source': [
{
'inbound': ['Beta_Cell', 'Processed_Tomography_Data_Biosample_FKey']
}, 'RID'
]
}, {
'source': [{
'inbound': ['Beta_Cell', 'Mass_Spec_Data_Biosample_FKey']
}, 'RID']
}, {
'entity': True,
'source': 'Container_Id',
'ux_mode': 'choices'
}
]
}
}
visible_foreign_keys = {
'*': [
{
'source': [{
'inbound': ['Beta_Cell', 'XRay_Tomography_Data_Biosample_FKey']
}, 'RID']
},
{
'source': [
{
'inbound': ['Beta_Cell', 'Processed_Tomography_Data_Biosample_FKey']
}, 'RID'
]
}, {
'source': [{
'inbound': ['Beta_Cell', 'Mass_Spec_Data_Biosample_FKey']
}, 'RID']
}, ['viz', 'model_biosample_fkey']
]
}
table_display = {
'row_name': {
'row_markdown_pattern': '{{RID}}{{#local_identifier}} {{Container_Id}}{{/local_identifier}}'
}
}
table_alternatives = {}
export = {
'templates': [
{
'name': 'default',
'outputs': [
{
'source': {
'api': 'entity',
'table': 'Beta_Cell:Biosample'
},
'destination': {
'name': 'Biosample',
'type': 'csv'
}
},
{
'source': {
'api': 'attribute',
'path': 'url:=URL,md5:=MD5,length:=Byte_Count',
'table': 'Beta_Cell:XRay_Tomography_Data'
},
'destination': {
'name': 'MRC',
'type': 'fetch'
}
},
{
'source': {
'api': 'attribute',
'path': 'url:=URL,md5:=MD5,length:=Byte_Count',
'table': 'Beta_Cell:Processed_Tomography_Data'
},
'destination': {
'name': 'processed_data',
'type': 'fetch'
}
},
{
'source': {
'api': 'attribute',
'path': 'url',
'table': 'isa:mesh_data'
},
'destination': {
'name': 'OBJS',
'type': 'fetch'
}
}
],
'format_name': 'BDBag (Holey)',
'format_type': 'BAG'
},
{
'name': 'default',
'outputs': [
{
'source': {
'api': 'entity',
'table': 'Beta_Cell:Biosample'
},
'destination': {
'name': 'Biosample',
'type': 'csv'
}
},
{
'source': {
'api': 'attribute',
'path': 'url:=URL',
'table': 'Beta_Cell:XRay_Tomography_Data'
},
'destination': {
'name': 'MRC',
'type': 'download'
}
},
{
'source': {
'api': 'attribute',
'path': 'url:=URL',
'table': 'Beta_Cell:Processed_Tomography_Data'
},
'destination': {
'name': 'processed_data',
'type': 'download'
}
},
{
'source': {
'api': 'attribute',
'path': 'URL',
'table': 'isa:mesh_data'
},
'destination': {
'name': 'OBJS',
'type': 'download'
}
}
],
'format_name': 'BDBag',
'format_type': 'BAG'
}
]
}
table_annotations = {
chaise_tags.export: export,
chaise_tags.display: display,
chaise_tags.table_display: table_display,
chaise_tags.visible_columns: visible_columns,
chaise_tags.table_alternatives: table_alternatives,
chaise_tags.visible_foreign_keys: visible_foreign_keys,
}
table_comment = None
table_acls = {}
table_acl_bindings = {
'self_service_owner': {
'types': ['update', 'delete'],
'scope_acl': ['*'],
'projection': ['Owner'],
'projection_type': 'acl'
},
'self_service_creator': {
'types': ['update', 'delete'],
'scope_acl': ['*'],
'projection': ['RCB'],
'projection_type': 'acl'
}
}
key_defs = [
em.Key.define(
['Dataset', 'RID'],
constraint_names=[('Beta_Cell', 'Biosample_Dataset_RID_Key')],
annotations={chaise_tags.display: {}},
),
em.Key.define(
['RID'],
constraint_names=[('Beta_Cell', 'Biosample_Key')],
annotations={chaise_tags.display: {}},
),
]
fkey_defs = [
em.ForeignKey.define(
['Experiment', 'Dataset'],
'Beta_Cell',
'Experiment', ['RID', 'Dataset'],
constraint_names=[('Beta_Cell', 'Biosample_Experiment_Dataset_FKey')],
acls={
'insert': ['*'],
'update': ['*']
},
),
em.ForeignKey.define(
['Specimen_Type'],
'vocab',
'specimen_type_terms', ['id'],
constraint_names=[('Beta_Cell', 'Biosample_Specimen_Type_FKey')],
acls={
'insert': ['*'],
'update': ['*']
},
comment='Must be a valid reference to a specimen type.',
),
em.ForeignKey.define(
['Specimen'],
'Beta_Cell',
'Specimen', ['RID'],
constraint_names=[('Beta_Cell', 'Biosample_Specimen_FKey')],
acls={
'insert': ['*'],
'update': ['*']
},
),
em.ForeignKey.define(
['Protocol'],
'Beta_Cell',
'Protocol', ['RID'],
constraint_names=[('Beta_Cell', 'Biosample_Protocol_FKey')],
acls={
'insert': ['*'],
'update': ['*']
},
),
em.ForeignKey.define(
['Dataset'],
'Beta_Cell',
'Dataset', ['RID'],
constraint_names=[('Beta_Cell', 'Biosample_Dataset_FKey')],
annotations={
chaise_tags.display: {},
chaise_tags.foreign_key: {
'domain_filter_pattern': 'RID={{{$fkeys.Beta_Cell.Biosample_Experiment_FKey.values._Dataset}}}'
}
},
acls={
'insert': ['*'],
'update': ['*']
},
on_update='CASCADE',
on_delete='RESTRICT',
),
em.ForeignKey.define(
['Experiment'],
'Beta_Cell',
'Experiment', ['RID'],
constraint_names=[('Beta_Cell', 'Biosample_Experiment_FKey')],
annotations={
chaise_tags.display: {},
chaise_tags.foreign_key: {
'domain_filter_pattern': 'Dataset={{{_Dataset}}}'
}
},
acls={
'insert': ['*'],
'update': ['*']
},
),
em.ForeignKey.define(
['RCB'],
'public',
'ERMrest_Client', ['ID'],
constraint_names=[('Beta_Cell', 'Biosample_RCB_Fkey')],
),
em.ForeignKey.define(
['Owner'],
'public',
'ERMrest_Client', ['ID'],
constraint_names=[('Beta_Cell', 'Biosample_Owner_Fkey')],
),
]
table_def = em.Table.define(
table_name,
column_defs=column_defs,
key_defs=key_defs,
fkey_defs=fkey_defs,
annotations=table_annotations,
acls=table_acls,
acl_bindings=table_acl_bindings,
comment=table_comment,
provide_system=True
)
def main(catalog, mode, replace=False):
updater = CatalogUpdater(catalog)
updater.update_table(mode, schema_name, table_def, replace=replace)
if __name__ == "__main__":
host = 'pbcconsortium.isrd.isi.edu'
catalog_id = 1
mode, replace, host, catalog_id = parse_args(host, catalog_id, is_table=True)
credential = get_credential(host)
catalog = ErmrestCatalog('https', host, catalog_id, credentials=credential)
main(catalog, mode, replace)
| [
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]
| |
4c3ff6795992f4880623aff1d7912e1e2af55406 | 95b6f547270557a99c435b785b907896f62e87d1 | /test_cluster_mocking_nested_ratio.py | 1369246b5107a36125ed7de9c6953ae44bb947a7 | []
| no_license | phizaz/seeding-strategy-ssl | 6b3b58c9b1f556f8cd42fea5e3dc20e623462a08 | 85655ce3297130b273d5f86075ee6bdf1f12be0a | refs/heads/master | 2021-01-10T06:18:26.618009 | 2016-04-02T14:50:08 | 2016-04-02T14:50:08 | 49,761,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,193 | py | from dataset import *
from pipe import Pipe
from wrapper import *
from badness import *
from ssltools import *
from sklearn.cluster import KMeans
dataset = get_yeast().rescale()
def seed_randomly(prob):
pipe = Pipe() \
.x(dataset.X) \
.y(dataset.Y) \
.y_seed(seeding_random(prob)) \
.connect(stop())
return pipe['y_seed']
def seed_some(prob, clusters_cnt):
pipe = Pipe() \
.x(dataset.X) \
.y(dataset.Y) \
.y_seed(seeding_some(prob, clusters_cnt)) \
.connect(stop())
return pipe['y_seed']
def seed_cache(file):
file = 'seeding/' + file
cache = StorageCache(file)
y_seed = np.array(cache.get())
return y_seed
kmeans = KMeans(dataset.cluster_cnt * 3)
kmeans.fit(dataset.X)
model = ClusterMockingNestedRatio(dataset.X, kmeans.labels_)
random_seed = seed_randomly(0.1)
badness = model.run(random_seed)
print('badness random:', badness)
#
# random_cache = seed_cache('yeast_prob-0.06.json')
# badness = model.run(random_cache)
# print('badness cache 0.06:', badness)
#
# random_cache = seed_cache('yeast_prob-0.05.json')
# badness = model.run(random_cache)
# print('badness cache 0.05:', badness) | [
"[email protected]"
]
| |
b2e081c7ce0957970be4524dd7569d94f5999f5b | 9e4fa1142a3656e97c637a247fd9e0a4b4192537 | /manage.py | 2f588eabb7d9bc15f00a4b0377a195b3614bfb9f | []
| no_license | LokeshKD/ckts-app-demo | 41bb51f5ab4c94344cf8a1f7d0a5b8ee970d5375 | 309209b87737099249f010c505e689efc287c8c3 | refs/heads/master | 2022-02-11T06:22:53.556163 | 2019-08-13T02:38:49 | 2019-08-13T02:38:49 | 198,107,386 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,028 | py | import os
import unittest
import coverage
from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
from project import app, db
app.config.from_object(os.environ['APP_SETTINGS'])
migrate = Migrate(app, db)
manager = Manager(app)
manager.add_command('db', MigrateCommand)
@manager.command
def test():
""" Runs Tests without coverage"""
tests = unittest.TestLoader().discover('.')
unittest.TextTestRunner(verbosity=2).run(tests)
@manager.command
def cov():
"""Runs the unit tests with coverage."""
cov = coverage.coverage(
branch=True,
include='project/*'
)
cov.start()
tests = unittest.TestLoader().discover('.')
unittest.TextTestRunner(verbosity=2).run(tests)
cov.stop()
cov.save()
print ('Coverage Summary:')
cov.report()
basedir = os.path.abspath(os.path.dirname(__file__))
covdir = os.path.join(basedir, 'coverage')
cov.html_report(directory=covdir)
cov.erase()
if __name__ == '__main__':
manager.run()
| [
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]
| |
fc209154dfb2a5e90e53f5ea78fe360348b50cb5 | 4c28bbe099672d9402b4c2c75625fc450b7d1c99 | /misc/formatter.py | 09180ed9b437614ea97a03ea48f812b72e64672a | [
"MIT"
]
| permissive | GINK03/lightgbm-feature-transform | e1edaf1d3dc541f816f844b280335b8d4d18fdfe | 18c0eaf64ef159d9c5cc041244b45bbea7314ca8 | refs/heads/master | 2021-07-22T15:46:17.221420 | 2017-11-07T15:10:40 | 2017-11-07T15:10:40 | 107,000,998 | 12 | 0 | null | null | null | null | UTF-8 | Python | false | false | 921 | py | import re
import json
lines = []
for line in open('./gbdt_prediction_formatted.cpp'):
line = line[:-1]
line = line.replace(' {', ':')
line = line.replace('} else', 'else')
line = re.sub(r'^double', 'def', line)
line = line.replace('const double *arr', 'arr')
line = line.replace('const std::vector<uint32_t> cat_threshold = {};', '')
line = line.replace('double ', '')
line = line.replace('0.0f', '0.0')
if 'const' in line:
continue
if 'namespace' in line:
continue
if len(line) >= 1:
if line[-1] == '}':
...
else:
lines.append( line )
text = '\n'.join(lines)
text = re.sub(r'arr.*?\n.*?\[', 'arr[', text, flags=re.MULTILINE)
text = re.sub(r'=.*?\n\s{1,}?arr', '= arr', text, flags=re.MULTILINE)
text = re.sub(r'<=\s{1,}?\n\s{1,}?0', '<= 0', text, flags=re.MULTILINE)
text = re.sub(r'<=\s{1,}?\n\s{1,}?1', '<= 1', text, flags=re.MULTILINE)
print(text)
| [
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]
| |
dcb44358e58a964fba44912fffb44036d3b53921 | 7db9f50e35b13bb2d5a7fcf564e841be1961b937 | /djangocms_teaser/migrations_django/0001_initial.py | 9e4b8c0bb3268b4bc0f680f15ca6b2fc2cab8eb4 | []
| no_license | tanderegg/djangocms-teaser | 3df391b42931b4cb5a2fd067d88da36e3defa20b | 29b09fbb921de052c9bf7a1e3bda8ed0a8b1fa56 | refs/heads/master | 2020-04-02T22:26:34.614574 | 2014-08-21T17:24:28 | 2014-08-21T17:24:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,249 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import cms.models.pluginmodel
class Migration(migrations.Migration):
dependencies = [
('cms', '__first__'),
]
operations = [
migrations.CreateModel(
name='Teaser',
fields=[
('title', models.CharField(max_length=255, verbose_name='title')),
('image', models.ImageField(upload_to=cms.models.pluginmodel.get_plugin_media_path, null=True, verbose_name='image', blank=True)),
('url', models.CharField(help_text='If present image will be clickable.', max_length=255, null=True, verbose_name='link', blank=True)),
('description', models.TextField(null=True, verbose_name='description', blank=True)),
('cmsplugin_ptr', models.OneToOneField(auto_created=True, primary_key=True, serialize=False, to='cms.CMSPlugin')),
('page_link', models.ForeignKey(blank=True, to='cms.Page', help_text='If present image will be clickable', null=True, verbose_name='page')),
],
options={
'abstract': False,
},
bases=('cms.cmsplugin',),
),
]
| [
"[email protected]"
]
| |
f430ca748728f396149648eb89ce978d127ee811 | 26f8a8782a03693905a2d1eef69a5b9f37a07cce | /test/test_dictionary_component_response_ofint64_and_destiny_item_talent_grid_component.py | bbf9b4777cea26e0cf7a3694065e35cbc650d67d | []
| no_license | roscroft/openapi3-swagger | 60975db806095fe9eba6d9d800b96f2feee99a5b | d1c659c7f301dcfee97ab30ba9db0f2506f4e95d | refs/heads/master | 2021-06-27T13:20:53.767130 | 2017-08-31T17:09:40 | 2017-08-31T17:09:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,491 | py | # coding: utf-8
"""
Bungie.Net API
These endpoints constitute the functionality exposed by Bungie.net, both for more traditional website functionality and for connectivity to Bungie video games and their related functionality.
OpenAPI spec version: 2.0.0
Contact: [email protected]
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
import unittest
import swagger_client
from swagger_client.rest import ApiException
from swagger_client.models.dictionary_component_response_ofint64_and_destiny_item_talent_grid_component import DictionaryComponentResponseOfint64AndDestinyItemTalentGridComponent
class TestDictionaryComponentResponseOfint64AndDestinyItemTalentGridComponent(unittest.TestCase):
""" DictionaryComponentResponseOfint64AndDestinyItemTalentGridComponent unit test stubs """
def setUp(self):
pass
def tearDown(self):
pass
def testDictionaryComponentResponseOfint64AndDestinyItemTalentGridComponent(self):
"""
Test DictionaryComponentResponseOfint64AndDestinyItemTalentGridComponent
"""
# FIXME: construct object with mandatory attributes with example values
#model = swagger_client.models.dictionary_component_response_ofint64_and_destiny_item_talent_grid_component.DictionaryComponentResponseOfint64AndDestinyItemTalentGridComponent()
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
]
| |
49333583eea30bafda52c00260cac390a23ab6f9 | 05536893d069dd87256ba74ecdee06bdf481d44b | /args_api/ORA12C/ORA12C-DBTAWS.py | a09bb73f64ddae7a172940464f218b2867dc03d3 | []
| no_license | TheRockStarDBA/DataBuddy | b2d889e11745d0afe1b39a11aab5945e2bd08cf7 | 38fa7adfdd228e2b2e4b4408393505163c5702e8 | refs/heads/master | 2020-12-25T23:27:02.363977 | 2015-05-28T19:14:12 | 2015-05-28T19:14:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 111,575 | py | #do not change
aa={'ORA12C_Partition_WithWideRows.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'column_buckets': ('-0', '--column_buckets', 2, 'Wide row support.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_267000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_keepWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_798000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'keep_whitespace': ('-W', '--keep_whitespace', 1, 'Keep whitespace from CHAR type in "Oracle 12c" extract.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_574000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\oracle_query.sql', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Table_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_772000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryDir_TableNamedFiles.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_970000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.'), 'query_sql_dir': ('-Q', '--query_sql_dir', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\query_dir_ora_table_named', 'Input dir with Oracle 12c query files sql.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Subpartition_WithWideRows.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'column_buckets': ('-0', '--column_buckets', 2, 'Wide row support.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_198000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Table.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_542000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_DateTable.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_678000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Date_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Date_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_ShardedTable_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 3, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 3, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_500000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_473000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_605000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_TimestampTable_keepWhitespace_Validate.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_410000', 'Timestamp (log_dir/job_name/timestamp).'), 'validate': ('-V', '--validate', 1, 'Check if source and target objects exist.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'keep_whitespace': ('-W', '--keep_whitespace', 1, 'Keep whitespace from CHAR type in "Oracle 12c" extract.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_ShardedTable.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 3, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 3, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_033000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Subpartition.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_514000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_TimezoneQueryFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_167000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\oracle_query.sql', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timezone_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryFile_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_573000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\oracle_query.sql', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_ShardedTimestampTable_keepWhitespace_Validate.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'num_of_shards': ('-r', '--num_of_shards', 3, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 3, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_483000', 'Timestamp (log_dir/job_name/timestamp).'), 'validate': ('-V', '--validate', 1, 'Check if source and target objects exist.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'keep_whitespace': ('-W', '--keep_whitespace', 1, 'Keep whitespace from CHAR type in "Oracle 12c" extract.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_TruncateTarget_AskToTruncate.DBTAWS_Table': [{'ask_to_truncate': ('-E', '--ask_to_truncate', 1, 'Ask to truncate.'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_132000', 'Timestamp (log_dir/job_name/timestamp).'), 'truncate_target': ('-U', '--truncate_target', 1, 'Truncate target table/partition/subpartition.'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Table_WithWideRows.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'column_buckets': ('-0', '--column_buckets', 2, 'Wide row support.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_438000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_Validate.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_733000', 'Timestamp (log_dir/job_name/timestamp).'), 'validate': ('-V', '--validate', 1, 'Check if source and target objects exist.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_ShardedSubpartition.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 3, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 3, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_294000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_TimezoneTable.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_065000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timezone_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timezone_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Table_KeepSpoolFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_365000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_KeepSpoolFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_742000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryFile_trimWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_838000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\oracle_query.sql', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_ShardedSubpartition_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 3, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 3, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_865000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_DateTable_Email.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_701000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Date_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Date_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryFile_keepWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_326000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\oracle_query.sql', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'keep_whitespace': ('-W', '--keep_whitespace', 1, 'Keep whitespace from CHAR type in "Oracle 12c" extract.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_NoClient.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_339000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', "'(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=localhost)(PORT=1521))(CONNECT_DATA=(SERVER=DEDICATED)(SERVICE_NAME=orcl)))'", 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Partition_trimWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_375000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Subpartition_KeepSpoolFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_806000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Subpartition_Validate.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_438000', 'Timestamp (log_dir/job_name/timestamp).'), 'validate': ('-V', '--validate', 1, 'Check if source and target objects exist.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_ShardedPartition_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 3, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 3, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_400000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_partition': ('-P', '--from_partition', 'part_15', 'From partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryDir_WithWideRows.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'column_buckets': ('-0', '--column_buckets', 2, 'Wide row support.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_710000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.'), 'query_sql_dir': ('-Q', '--query_sql_dir', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\query_dir_ora', 'Input dir with Oracle 12c query files sql.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryFile_TableNamedFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_901000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', '"C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\SCOTT.TIMESTAMP_TEST_TO.0.sql"', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_TimestampTable_trimWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_938000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_TimestampTable.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_605000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timestamp_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryDir_trimWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_002000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.'), 'query_sql_dir': ('-Q', '--query_sql_dir', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\query_dir_ora', 'Input dir with Oracle 12c query files sql.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'default': [{'ask_to_truncate': ['-E', '--ask_to_truncate', '', 'Ask to truncate.'], 'shard_pre_etl': ['-2', '--shard_pre_etl', '', 'Path to shard level pre-ETL Python script.'], 'keep_data_file': ['-K', '--keep_data_file', '', 'Keep data dump.'], 'default_spool_dir': ['-F', '--default_spool_dir', '', 'Default data dump dir (default_spool_dir/job_name/timestamp).'], 'arg_6': ['-6', '--arg_6', '', 'Generic string argument 1.'], 'lame_duck': ['-l', '--lame_duck', '', 'Limit rows (lame duck run).'], 'copy_vector': ['-w', '--copy_vector', '', 'Data copy direction.'], 'log_dir': ['-M', '--log_dir', '', 'Log destination.'], 'time_stamp': ['-Y', '--time_stamp', '', 'Timestamp (log_dir/job_name/timestamp).'], 'job_name': ['-B', '--job_name', '', 'Job name (log_dir/job_name).'], 'job_pre_etl': ['-1', '--job_pre_etl', '', 'Path to job level pre-ETL Python script.'], 'num_of_shards': ['-r', '--num_of_shards', '', 'Number of shards.'], 'loader_profile': ['-C', '--loader_profile', '', 'SQL*Loader profile (user defined).'], 'email_to': ['-L', '--email_to', '', 'Email job status.'], 'host_map': ['-5', '--host_map', '', 'Host-to-shard map.'], 'arg_8': ['-8', '--arg_8', '', 'Generic string argument 3.'], 'validate': ['-V', '--validate', '', 'Check if source and target objects exist.'], 'arg_7': ['-7', '--arg_7', '', 'Generic string argument 2.'], 'field_term': ['-t', '--field_term', '', 'Field terminator.'], 'pool_size': ['-o', '--pool_size', '', 'Pool size.'], 'column_buckets': ['-0', '--column_buckets', '', 'Wide row support.'], 'job_post_etl': ['-3', '--job_post_etl', '', 'Jobs post-etl script.'], 'truncate_target': ['-U', '--truncate_target', '', 'Truncate target table/partition/subpartition.'], 'shard_post_etl': ['-4', '--shard_post_etl', '', 'Shards post-etl script.'], 'key_on_exit': ['-X', '--key_on_exit', '', 'Ask for an "Enter" key upon exit.']}, {'query_sql_file': ['-q', '--query_sql_file', '', 'Input file with Oracle 12c query sql.'], 'from_db_name': ['-b', '--from_db_name', '', 'Oracle 12c source database.'], 'from_partition': ['-P', '--from_partition', '', 'From partition.'], 'from_sub_partition': ['-S', '--from_sub_partition', '', 'From sub-partition.'], 'header': ['-A', '--header', '', 'Include header to Oracle 12c extract.'], 'from_table': ['-c', '--from_table', '', 'From table.'], 'nls_timestamp_format': ['-m', '--nls_timestamp_format', '', 'nls_timestamp_format for source.'], 'nls_date_format': ['-e', '--nls_date_format', '', 'nls_date_format for source.'], 'keep_whitespace': ['-W', '--keep_whitespace', '', 'Keep whitespace from CHAR type in "Oracle 12c" extract.'], 'nls_timestamp_tz_format': ['-O', '--nls_timestamp_tz_format', '', 'nls_timestamp_tz_format for source.'], 'from_user': ['-j', '--from_user', '', 'Oracle 12c source user.'], 'from_passwd': ['-x', '--from_passwd', '', 'Oracle 12c source user password.'], 'query_sql_dir': ['-Q', '--query_sql_dir', '', 'Input dir with Oracle 12c query files sql.']}, {'to_db_name': ['-d', '--to_db_name', '', 'Target DB2 Advanced Workgroup Server database.'], 'target_client_home': ['-Z', '--target_client_home', '', 'Path to DB2 Advanced Workgroup Server client home bin dir.'], 'skip_rows': ['-k', '--skip_rows', '', 'Header size. Number of rows to skip in input file.'], 'to_user': ['-u', '--to_user', '', 'Target DB2 Advanced Workgroup Server db user.'], 'to_passwd': ['-p', '--to_passwd', '', 'Target DB2 Advanced Workgroup Server db user password.'], 'to_db_server': ['-s', '--to_db_server', '', 'Target DB2 Advanced Workgroup Server db instance name.'], 'to_table': ['-a', '--to_table', '', 'Target DB2 Advanced Workgroup Server table.']}], 'ORA12C_QueryDir_keepWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_099000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'keep_whitespace': ('-W', '--keep_whitespace', 1, 'Keep whitespace from CHAR type in "Oracle 12c" extract.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.'), 'query_sql_dir': ('-Q', '--query_sql_dir', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\query_dir_ora', 'Input dir with Oracle 12c query files sql.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Subpartition_keepWhitespace.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_305000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'keep_whitespace': ('-W', '--keep_whitespace', 1, 'Keep whitespace from CHAR type in "Oracle 12c" extract.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryDir.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_766000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.'), 'query_sql_dir': ('-Q', '--query_sql_dir', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\query_dir_ora', 'Input dir with Oracle 12c query files sql.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_TimezoneTable_KeepSpoolFile.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_232000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Timezone_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timezone_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryFile_WithWideRows.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'column_buckets': ('-0', '--column_buckets', 2, 'Wide row support.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_533000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'query_sql_file': ('-q', '--query_sql_file', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\oracle_query.sql', 'Input file with Oracle 12c query sql.'), 'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_DateTable_JobName.DBTAWS_Table': [{'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_638000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'FROM_ORA12C_DateTable_JobName_TO_DBTAWS_Table', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_table': ('-c', '--from_table', 'SCOTT.Date_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Date_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_QueryDir_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221741_668000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.'), 'query_sql_dir': ('-Q', '--query_sql_dir', 'C:\\Python27\\data_migrator_1239_12c\\test\\v101\\query\\query_dir_ora', 'Input dir with Oracle 12c query files sql.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}], 'ORA12C_Subpartition_Limit10.DBTAWS_Table': [{'lame_duck': ('-l', '--lame_duck', 10, 'Limit rows (lame duck run).'), 'field_term': ('-t', '--field_term', '"|"', 'Field terminator.'), 'num_of_shards': ('-r', '--num_of_shards', 1, 'Number of shards.'), 'pool_size': ('-o', '--pool_size', 1, 'Pool size.'), 'copy_vector': ('-w', '--copy_vector', 'ora12c-dbtaws', 'Data copy direction.'), 'keep_data_file': ('-K', '--keep_data_file', 1, 'Keep data dump.'), 'default_spool_dir': ('-F', '--default_spool_dir', 'C:\\tmp\\TEST_default_spool', 'Default data dump dir (default_spool_dir/job_name/timestamp).'), 'time_stamp': ('-Y', '--time_stamp', '20150515_221740_646000', 'Timestamp (log_dir/job_name/timestamp).'), 'host_map': ('-5', '--host_map', '".\\config\\host_map_v2.py"', 'Host-to-shard map.'), 'job_name': ('-B', '--job_name', 'qc_job', 'Job name (log_dir/job_name).'), 'log_dir': ('-M', '--log_dir', 'C:\\Temp\\qc_log', 'Log destination.')}, {'from_db_name': ('-b', '--from_db_name', 'orcl', 'Oracle 12c source database.'), 'from_sub_partition': ('-S', '--from_sub_partition', 'part_15_sp1', 'From sub-partition.'), 'from_table': ('-c', '--from_table', 'SCOTT.Sub_Partitioned_test_from', 'From table.'), 'nls_timestamp_format': ('-m', '--nls_timestamp_format', '"YYYY-MM-DD-HH24.MI.SS.FF"', 'nls_timestamp_format for source.'), 'nls_date_format': ('-e', '--nls_date_format', '"YYYY-MM-DD"', 'nls_date_format for source.'), 'nls_timestamp_tz_format': ('-O', '--nls_timestamp_tz_format', '"YYYY-MM-DD-HH24:MI:SS.FF"', 'nls_timestamp_tz_format for source.'), 'from_user': ('-j', '--from_user', 'SCOTT', 'Oracle 12c source user.'), 'from_passwd': ('-x', '--from_passwd', 'tiger', 'Oracle 12c source user password.')}, {'to_db_name': ('-d', '--to_db_name', '"SAMPLE"', 'Target DB2 Advanced Workgroup Server database.'), 'target_client_home': ('-Z', '--target_client_home', '"C:\\Program Files (x86)\\IBM\\SQLLIB_01\\BIN"', 'Path to DB2 Advanced Workgroup Server client home bin dir.'), 'to_user': ('-u', '--to_user', '"ALEX_BUZ"', 'Target DB2 Advanced Workgroup Server db user.'), 'to_passwd': ('-p', '--to_passwd', '"198Morgan"', 'Target DB2 Advanced Workgroup Server db user password.'), 'to_db_server': ('-s', '--to_db_server', '"DB2"', 'Target DB2 Advanced Workgroup Server db instance name.'), 'to_table': ('-a', '--to_table', 'ALEX_BUZ.Timestamp_test_to', 'Target DB2 Advanced Workgroup Server table.')}]} | [
"[email protected]"
]
| |
a1d45b4a1306f1720ace5d28dab4653d0d2a6868 | bd02997a44218468b155eda45dd9dd592bb3d124 | /baekjoon_2108.py | cb9102297f1407ace276cbdd2e7a5b699dbacc1a | []
| no_license | rheehot/ProblemSolving_Python | 88b1eb303ab97624ae6c97e05393352695038d14 | 4d6dc6aea628f0e6e96530646c66216bf489427f | refs/heads/master | 2023-02-13T03:30:07.039231 | 2021-01-04T06:04:11 | 2021-01-04T06:04:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,280 | py | '''
Problem Solving Baekjoon 2108
Author: Injun Son
Date: September 5, 2020
'''
from collections import deque
import sys
from itertools import combinations
import math
import math
input = sys.stdin.readline
N = int(input())
arr = [int(input()) for _ in range(N)]
count_arr = [0]*8001
tmp_sum = 0
tmp_max = -1*sys.maxsize
tmp_min = sys.maxsize
for i in range(len(arr)):
tmp_sum += arr[i]
count_arr[arr[i]+4000]+=1
if arr[i] > tmp_max:
tmp_max = arr[i]
if arr[i] < tmp_min:
tmp_min = arr[i]
mode_list = []
for i in range(0, 8001):
if count_arr[i]!=0:
mode_list.append([i-4000, count_arr[i]])
mode_list = sorted(mode_list, key = lambda x: (-x[1], x[0]), )
arr.sort()
# print(arr)
# print(mode_list)
'''
첫째 줄에는 산술평균을 출력한다. 소수점 이하 첫째 자리에서 반올림한 값을 출력한다.
둘째 줄에는 중앙값을 출력한다.
셋째 줄에는 최빈값을 출력한다. 여러 개 있을 때에는 최빈값 중 두 번째로 작은 값을 출력한다.
넷째 줄에는 범위를 출력한다.
'''
print(round(tmp_sum/len(arr)))
print(arr[len(arr)//2])
if len(mode_list)>=2 and mode_list[0][1]==mode_list[1][1]:
print(mode_list[1][0])
else:
print(mode_list[0][0])
print(tmp_max - tmp_min) | [
"[email protected]"
]
| |
636406ddd942396e9b6aedb4bdaaba02783aa51f | c0ad282ab743a315e2f252a627933cb168434c1d | /shapeworld/torch_util.py | fa6ad12567eb305a5acdeee76fecf0a4791ff2fd | [
"MIT"
]
| permissive | AlexKuhnle/ShapeWorld | 6d1e16adc94e860abae99ade869f72575f573bc4 | e720bf46e57fc01326d04d639fa6133d9c12158f | refs/heads/master | 2021-07-09T00:02:33.808969 | 2021-04-19T11:10:52 | 2021-04-19T11:10:52 | 80,815,972 | 58 | 28 | MIT | 2021-04-19T11:10:53 | 2017-02-03T09:40:19 | Python | UTF-8 | Python | false | false | 2,806 | py | import sys
import numpy as np
import torch.utils.data
class ShapeWorldDataset(torch.utils.data.Dataset):
def __init__(self, dataset, mode=None, include_model=False, epoch=False, is_channels_first=True, preprocessing=None):
super(ShapeWorldDataset, self).__init__()
self.dataset = dataset
self.mode = mode
self.include_model = include_model
self.epoch = epoch
if self.epoch:
self.dataset.random_sampling = False
self.is_channels_first = is_channels_first
self.preprocessing = dict() if preprocessing is None else preprocessing
self.initialize_iterator()
self.index = -1
def initialize_iterator(self):
if self.epoch:
self.iterator = self.dataset.epoch(n=1, mode=self.mode, include_model=self.include_model, alternatives=False)
else:
self.iterator = self.dataset.iterate(n=1, mode=self.mode, include_model=self.include_model, alternatives=False)
def __getitem__(self, index):
self.index += 1
assert index == self.index, 'random shuffling invalid: ' + str((index, self.index, self, self.mode))
try:
generated = next(self.iterator)
for value_name, value in generated.items():
if self.is_channels_first and (self.dataset.values[value_name] == 'world' or value_name.endswith('_features')):
generated[value_name] = np.transpose(value[0], axes=(2, 0, 1))
else:
generated[value_name] = value[0]
for value_name, preprocessing in self.preprocessing.items():
generated[value_name] = preprocessing(generated[value_name])
return {value_name: value for value_name, value in generated.items()}
except StopIteration:
self.initialize_iterator()
self.index = -1
return None
def __len__(self):
return sys.maxsize
def __add__(self, other):
raise NotImplementedError
class ShapeWorldDataLoader(torch.utils.data.DataLoader):
def __init__(self, dataset, batch_size=1, num_workers=0):
assert isinstance(dataset, ShapeWorldDataset)
super(ShapeWorldDataLoader, self).__init__(dataset=dataset, batch_size=batch_size, num_workers=num_workers)
def __iter__(self):
self.sample_iter = iter(self.batch_sampler)
while True:
indices = next(self.sample_iter)
batch = list()
for i in indices:
instance = self.dataset[i]
if instance is None:
break
batch.append(instance)
yield self.collate_fn(batch)
if instance is None:
break
def __len__(self):
return sys.maxsize
| [
"[email protected]"
]
| |
9c55f255b57e0eaf9ce3639bd0dd51cd1eb40334 | deec7cdd0916936f71a194616060f2935291dba1 | /examples/05_logging/null_handler/connect_ssh.py | f46d7698d5180a2d54819386a56cf94bd7067e8d | []
| no_license | denjjack/advpyneng-examples-exercises | 938077e0e0d2265481746d894e970eb5688fc235 | 50871f0f228bb309f99ddee7ca56de25da0bfa1b | refs/heads/master | 2022-12-15T02:43:50.148470 | 2020-09-11T11:51:38 | 2020-09-11T11:51:38 | 294,704,149 | 1 | 0 | null | 2020-09-11T13:34:23 | 2020-09-11T13:34:22 | null | UTF-8 | Python | false | false | 194 | py | from base_ssh_class import BaseSSH
import logging
logging.basicConfig(level=logging.DEBUG)
r1 = BaseSSH("192.168.100.1", "cisco", "cisco")
print(r1.send_show_command("sh clock"))
r1.close()
| [
"[email protected]"
]
| |
385fca920ccc02437aa185a2637b0d7585a0fdda | 463c053bcf3f4a7337b634890720ea9467f14c87 | /rllib/utils/replay_buffers/utils.py | 1589760742338853369d9860f156a52e594a0d78 | [
"BSD-3-Clause",
"MIT",
"Apache-2.0"
]
| permissive | pdames/ray | e8faddc4440976211a6bcead8f8b6e62c1dcda01 | 918d3601c6519d333f10910dc75eb549cbb82afa | refs/heads/master | 2023-01-23T06:11:11.723212 | 2022-05-06T22:55:59 | 2022-05-06T22:55:59 | 245,515,407 | 1 | 1 | Apache-2.0 | 2023-01-14T08:02:21 | 2020-03-06T20:59:04 | Python | UTF-8 | Python | false | false | 16,838 | py | import logging
import psutil
from typing import Optional, Any
from ray.rllib.execution import MultiAgentReplayBuffer as Legacy_MultiAgentReplayBuffer
from ray.rllib.execution.buffers.multi_agent_replay_buffer import (
MultiAgentReplayBuffer as LegacyMultiAgentReplayBuffer,
)
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils import deprecation_warning
from ray.rllib.utils.annotations import ExperimentalAPI
from ray.rllib.utils.deprecation import DEPRECATED_VALUE
from ray.rllib.utils.from_config import from_config
from ray.rllib.utils.metrics.learner_info import LEARNER_STATS_KEY
from ray.rllib.utils.replay_buffers import (
MultiAgentPrioritizedReplayBuffer,
ReplayBuffer,
MultiAgentReplayBuffer,
)
from ray.rllib.policy.sample_batch import MultiAgentBatch
from ray.rllib.utils.typing import ResultDict, SampleBatchType, TrainerConfigDict
from ray.util import log_once
logger = logging.getLogger(__name__)
def update_priorities_in_replay_buffer(
replay_buffer: ReplayBuffer,
config: TrainerConfigDict,
train_batch: SampleBatchType,
train_results: ResultDict,
) -> None:
"""Updates the priorities in a prioritized replay buffer, given training results.
The `abs(TD-error)` from the loss (inside `train_results`) is used as new
priorities for the row-indices that were sampled for the train batch.
Don't do anything if the given buffer does not support prioritized replay.
Args:
replay_buffer: The replay buffer, whose priority values to update. This may also
be a buffer that does not support priorities.
config: The Trainer's config dict.
train_batch: The batch used for the training update.
train_results: A train results dict, generated by e.g. the `train_one_step()`
utility.
"""
# Only update priorities if buffer supports them.
if (
type(replay_buffer) is LegacyMultiAgentReplayBuffer
and config["replay_buffer_config"].get("prioritized_replay_alpha", 0.0) > 0.0
) or isinstance(replay_buffer, MultiAgentPrioritizedReplayBuffer):
# Go through training results for the different policies (maybe multi-agent).
prio_dict = {}
for policy_id, info in train_results.items():
# TODO(sven): This is currently structured differently for
# torch/tf. Clean up these results/info dicts across
# policies (note: fixing this in torch_policy.py will
# break e.g. DDPPO!).
td_error = info.get("td_error", info[LEARNER_STATS_KEY].get("td_error"))
# Set the get_interceptor to None in order to be able to access the numpy
# arrays directly (instead of e.g. a torch array).
train_batch.policy_batches[policy_id].set_get_interceptor(None)
# Get the replay buffer row indices that make up the `train_batch`.
batch_indices = train_batch.policy_batches[policy_id].get("batch_indexes")
# In case the buffer stores sequences, TD-error could
# already be calculated per sequence chunk.
if len(batch_indices) != len(td_error):
T = replay_buffer.replay_sequence_length
assert (
len(batch_indices) > len(td_error) and len(batch_indices) % T == 0
)
batch_indices = batch_indices.reshape([-1, T])[:, 0]
assert len(batch_indices) == len(td_error)
prio_dict[policy_id] = (batch_indices, td_error)
# Make the actual buffer API call to update the priority weights on all
# policies.
replay_buffer.update_priorities(prio_dict)
def sample_min_n_steps_from_buffer(
replay_buffer: ReplayBuffer, min_steps: int, count_by_agent_steps: bool
) -> Optional[SampleBatchType]:
"""Samples a minimum of n timesteps from a given replay buffer.
This utility method is primarily used by the QMIX algorithm and helps with
sampling a given number of time steps which has stored samples in units
of sequences or complete episodes. Samples n batches from replay buffer
until the total number of timesteps reaches `train_batch_size`.
Args:
replay_buffer: The replay buffer to sample from
num_timesteps: The number of timesteps to sample
count_by_agent_steps: Whether to count agent steps or env steps
Returns:
A concatenated SampleBatch or MultiAgentBatch with samples from the
buffer.
"""
train_batch_size = 0
train_batches = []
while train_batch_size < min_steps:
batch = replay_buffer.sample(num_items=1)
if batch is None:
return None
train_batches.append(batch)
train_batch_size += (
train_batches[-1].agent_steps()
if count_by_agent_steps
else train_batches[-1].env_steps()
)
# All batch types are the same type, hence we can use any concat_samples()
train_batch = SampleBatch.concat_samples(train_batches)
return train_batch
@ExperimentalAPI
def validate_buffer_config(config: dict):
if config.get("replay_buffer_config", None) is None:
config["replay_buffer_config"] = {}
prioritized_replay = config.get("prioritized_replay")
if prioritized_replay != DEPRECATED_VALUE:
deprecation_warning(
old="config['prioritized_replay']",
help="Replay prioritization specified at new location config["
"'replay_buffer_config']["
"'prioritized_replay'] will be overwritten.",
error=False,
)
config["replay_buffer_config"]["prioritized_replay"] = prioritized_replay
capacity = config.get("buffer_size", DEPRECATED_VALUE)
if capacity != DEPRECATED_VALUE:
deprecation_warning(
old="config['buffer_size']",
help="Buffer size specified at new location config["
"'replay_buffer_config']["
"'capacity'] will be overwritten.",
error=False,
)
config["replay_buffer_config"]["capacity"] = capacity
# Deprecation of old-style replay buffer args
# Warnings before checking of we need local buffer so that algorithms
# Without local buffer also get warned
deprecated_replay_buffer_keys = [
"prioritized_replay_alpha",
"prioritized_replay_beta",
"prioritized_replay_eps",
"learning_starts",
]
for k in deprecated_replay_buffer_keys:
if config.get(k, DEPRECATED_VALUE) != DEPRECATED_VALUE:
deprecation_warning(
old="config[{}]".format(k),
help="config['replay_buffer_config'][{}] should be used "
"for Q-Learning algorithms. Ignore this warning if "
"you are not using a Q-Learning algorithm and still "
"provide {}."
"".format(k, k),
error=False,
)
# Copy values over to new location in config to support new
# and old configuration style
if config.get("replay_buffer_config") is not None:
config["replay_buffer_config"][k] = config[k]
# Old Ape-X configs may contain no_local_replay_buffer
no_local_replay_buffer = config.get("no_local_replay_buffer", False)
if no_local_replay_buffer:
deprecation_warning(
old="config['no_local_replay_buffer']",
help="no_local_replay_buffer specified at new location config["
"'replay_buffer_config']["
"'capacity'] will be overwritten.",
error=False,
)
config["replay_buffer_config"][
"no_local_replay_buffer"
] = no_local_replay_buffer
# TODO (Artur):
if config["replay_buffer_config"].get("no_local_replay_buffer", False):
return
replay_buffer_config = config["replay_buffer_config"]
assert (
"type" in replay_buffer_config
), "Can not instantiate ReplayBuffer from config without 'type' key."
# Check if old replay buffer should be instantiated
buffer_type = config["replay_buffer_config"]["type"]
if not config["replay_buffer_config"].get("_enable_replay_buffer_api", False):
if isinstance(buffer_type, str) and buffer_type.find(".") == -1:
# Prepend old-style buffers' path
assert buffer_type == "MultiAgentReplayBuffer", (
"Without "
"ReplayBuffer "
"API, only "
"MultiAgentReplayBuffer "
"is supported!"
)
# Create valid full [module].[class] string for from_config
buffer_type = "ray.rllib.execution.MultiAgentReplayBuffer"
else:
assert buffer_type in [
"ray.rllib.execution.MultiAgentReplayBuffer",
Legacy_MultiAgentReplayBuffer,
], (
"Without ReplayBuffer API, only " "MultiAgentReplayBuffer is supported!"
)
config["replay_buffer_config"]["type"] = buffer_type
# Remove from config, so it's not passed into the buffer c'tor
config["replay_buffer_config"].pop("_enable_replay_buffer_api", None)
# We need to deprecate the old-style location of the following
# buffer arguments and make users put them into the
# "replay_buffer_config" field of their config.
replay_batch_size = config.get("replay_batch_size", DEPRECATED_VALUE)
if replay_batch_size != DEPRECATED_VALUE:
config["replay_buffer_config"]["replay_batch_size"] = replay_batch_size
deprecation_warning(
old="config['replay_batch_size']",
help="Replay batch size specified at new "
"location config['replay_buffer_config']["
"'replay_batch_size'] will be overwritten.",
error=False,
)
replay_mode = config.get("replay_mode", DEPRECATED_VALUE)
if replay_mode != DEPRECATED_VALUE:
config["replay_buffer_config"]["replay_mode"] = replay_mode
deprecation_warning(
old="config['multiagent']['replay_mode']",
help="Replay sequence length specified at new "
"location config['replay_buffer_config']["
"'replay_mode'] will be overwritten.",
error=False,
)
# Can't use DEPRECATED_VALUE here because this is also a deliberate
# value set for some algorithms
# TODO: (Artur): Compare to DEPRECATED_VALUE on deprecation
replay_sequence_length = config.get("replay_sequence_length", None)
if replay_sequence_length is not None:
config["replay_buffer_config"][
"replay_sequence_length"
] = replay_sequence_length
deprecation_warning(
old="config['replay_sequence_length']",
help="Replay sequence length specified at new "
"location config['replay_buffer_config']["
"'replay_sequence_length'] will be overwritten.",
error=False,
)
replay_burn_in = config.get("burn_in", DEPRECATED_VALUE)
if replay_burn_in != DEPRECATED_VALUE:
config["replay_buffer_config"]["replay_burn_in"] = replay_burn_in
deprecation_warning(
old="config['burn_in']",
help="Burn in specified at new location config["
"'replay_buffer_config']["
"'replay_burn_in'] will be overwritten.",
)
replay_zero_init_states = config.get(
"replay_zero_init_states", DEPRECATED_VALUE
)
if replay_zero_init_states != DEPRECATED_VALUE:
config["replay_buffer_config"][
"replay_zero_init_states"
] = replay_zero_init_states
deprecation_warning(
old="config['replay_zero_init_states']",
help="Replay zero init states specified at new location "
"config["
"'replay_buffer_config']["
"'replay_zero_init_states'] will be overwritten.",
error=False,
)
# TODO (Artur): Move this logic into config objects
if config["replay_buffer_config"].get("prioritized_replay", False):
is_prioritized_buffer = True
else:
is_prioritized_buffer = False
# This triggers non-prioritization in old-style replay buffer
config["replay_buffer_config"]["prioritized_replay_alpha"] = 0.0
else:
if isinstance(buffer_type, str) and buffer_type.find(".") == -1:
# Create valid full [module].[class] string for from_config
config["replay_buffer_config"]["type"] = (
"ray.rllib.utils.replay_buffers." + buffer_type
)
test_buffer = from_config(buffer_type, config["replay_buffer_config"])
if hasattr(test_buffer, "update_priorities"):
is_prioritized_buffer = True
else:
is_prioritized_buffer = False
if is_prioritized_buffer:
if config["multiagent"]["replay_mode"] == "lockstep":
raise ValueError(
"Prioritized replay is not supported when replay_mode=lockstep."
)
elif config["replay_buffer_config"].get("replay_sequence_length", 0) > 1:
raise ValueError(
"Prioritized replay is not supported when "
"replay_sequence_length > 1."
)
else:
if config.get("worker_side_prioritization"):
raise ValueError(
"Worker side prioritization is not supported when "
"prioritized_replay=False."
)
if config["replay_buffer_config"].get("replay_batch_size", None) is None:
# Fall back to train batch size if no replay batch size was provided
config["replay_buffer_config"]["replay_batch_size"] = config["train_batch_size"]
# Pop prioritized replay because it's not a valid parameter for older
# replay buffers
config["replay_buffer_config"].pop("prioritized_replay", None)
def warn_replay_buffer_capacity(*, item: SampleBatchType, capacity: int) -> None:
"""Warn if the configured replay buffer capacity is too large for machine's memory.
Args:
item: A (example) item that's supposed to be added to the buffer.
This is used to compute the overall memory footprint estimate for the
buffer.
capacity: The capacity value of the buffer. This is interpreted as the
number of items (such as given `item`) that will eventually be stored in
the buffer.
Raises:
ValueError: If computed memory footprint for the buffer exceeds the machine's
RAM.
"""
if log_once("warn_replay_buffer_capacity"):
item_size = item.size_bytes()
psutil_mem = psutil.virtual_memory()
total_gb = psutil_mem.total / 1e9
mem_size = capacity * item_size / 1e9
msg = (
"Estimated max memory usage for replay buffer is {} GB "
"({} batches of size {}, {} bytes each), "
"available system memory is {} GB".format(
mem_size, capacity, item.count, item_size, total_gb
)
)
if mem_size > total_gb:
raise ValueError(msg)
elif mem_size > 0.2 * total_gb:
logger.warning(msg)
else:
logger.info(msg)
def patch_buffer_with_fake_sampling_method(
buffer: ReplayBuffer, fake_sample_output: SampleBatchType
) -> None:
"""Patch a ReplayBuffer such that we always sample fake_sample_output.
Transforms fake_sample_output into a MultiAgentBatch if it is not a
MultiAgentBatch and the buffer is a MultiAgentBuffer. This is useful for testing
purposes if we need deterministic sampling.
Args:
buffer: The buffer to be patched
fake_sample_output: The output to be sampled
"""
if isinstance(buffer, MultiAgentReplayBuffer) and not isinstance(
fake_sample_output, MultiAgentBatch
):
fake_sample_output = SampleBatch(fake_sample_output).as_multi_agent()
def fake_sample(_: Any, __: Any = None, **kwargs) -> Optional[SampleBatchType]:
"""Always returns a predefined batch.
Args:
_: dummy arg to match signature of sample() method
__: dummy arg to match signature of sample() method
**kwargs: dummy args to match signature of sample() method
Returns:
Predefined MultiAgentBatch fake_sample_output
"""
return fake_sample_output
buffer.sample = fake_sample
| [
"[email protected]"
]
| |
09c1ec7ba50d187876c91d783b241ad7c7c92641 | 75d8667735782cd1d0eb4877e52c89da5cd92dde | /nova/conductor/tasks/base.py | 170e5ebdf37200c833e06619b72a68d7ef3d0ae3 | [
"Apache-2.0"
]
| permissive | bopopescu/nova-token | ffecfd3ec561936b7d9d7e691bc57383cde05436 | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | refs/heads/master | 2022-11-22T09:53:31.073483 | 2016-05-14T02:47:01 | 2016-05-15T22:02:55 | 282,105,621 | 0 | 0 | Apache-2.0 | 2020-07-24T02:42:19 | 2020-07-24T02:42:18 | null | UTF-8 | Python | false | false | 3,441 | py | begin_unit
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Unless required by applicable law or agreed to in writing, software'
nl|'\n'
comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT'
nl|'\n'
comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the'
nl|'\n'
comment|'# License for the specific language governing permissions and limitations'
nl|'\n'
comment|'# under the License.'
nl|'\n'
nl|'\n'
name|'import'
name|'abc'
newline|'\n'
name|'import'
name|'functools'
newline|'\n'
nl|'\n'
name|'from'
name|'oslo_utils'
name|'import'
name|'excutils'
newline|'\n'
name|'import'
name|'six'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|function|rollback_wrapper
name|'def'
name|'rollback_wrapper'
op|'('
name|'original'
op|')'
op|':'
newline|'\n'
indent|' '
op|'@'
name|'functools'
op|'.'
name|'wraps'
op|'('
name|'original'
op|')'
newline|'\n'
DECL|function|wrap
name|'def'
name|'wrap'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'try'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'original'
op|'('
name|'self'
op|')'
newline|'\n'
dedent|''
name|'except'
name|'Exception'
op|':'
newline|'\n'
indent|' '
name|'with'
name|'excutils'
op|'.'
name|'save_and_reraise_exception'
op|'('
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'rollback'
op|'('
op|')'
newline|'\n'
dedent|''
dedent|''
dedent|''
name|'return'
name|'wrap'
newline|'\n'
nl|'\n'
nl|'\n'
dedent|''
op|'@'
name|'six'
op|'.'
name|'add_metaclass'
op|'('
name|'abc'
op|'.'
name|'ABCMeta'
op|')'
newline|'\n'
DECL|class|TaskBase
name|'class'
name|'TaskBase'
op|'('
name|'object'
op|')'
op|':'
newline|'\n'
nl|'\n'
DECL|member|__init__
indent|' '
name|'def'
name|'__init__'
op|'('
name|'self'
op|','
name|'context'
op|','
name|'instance'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'context'
op|'='
name|'context'
newline|'\n'
name|'self'
op|'.'
name|'instance'
op|'='
name|'instance'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'rollback_wrapper'
newline|'\n'
DECL|member|execute
name|'def'
name|'execute'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""Run task\'s logic, written in _execute() method\n """'
newline|'\n'
name|'return'
name|'self'
op|'.'
name|'_execute'
op|'('
op|')'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'abc'
op|'.'
name|'abstractmethod'
newline|'\n'
DECL|member|_execute
name|'def'
name|'_execute'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""Descendants should place task\'s logic here, while resource\n initialization should be performed over __init__\n """'
newline|'\n'
name|'pass'
newline|'\n'
nl|'\n'
DECL|member|rollback
dedent|''
name|'def'
name|'rollback'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""Rollback failed task\n Descendants should implement this method to allow task user to\n rollback status to state before execute method was call\n """'
newline|'\n'
name|'pass'
newline|'\n'
dedent|''
dedent|''
endmarker|''
end_unit
| [
"[email protected]"
]
| |
1b84a43972de2a1222d45566cf6969e535176b4b | 0e0ce88c886370df9af51855115c99dfc003e5da | /2012/04_Sistema_de_Atomos/func.Curve/color_junto.py | 71bce10f2562d2ac7869dad6a0f355e2f20b019f | []
| no_license | miguelzeph/Python_Git | ed80db9a4f060836203df8cc2e42e003b0df6afd | 79d3b00236e7f4194d2a23fb016b43e9d09311e6 | refs/heads/master | 2021-07-08T18:43:45.855023 | 2021-04-01T14:12:23 | 2021-04-01T14:12:23 | 232,007,012 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 265 | py | from __future__ import division
from visual import *
c= curve( pos=[(-1,0,0)], color=color.blue,radius=1)
c.append( pos=(0,0,0) ) # add a blue point (optional)
c.append( pos=(0,0,0), color=color.orange) # same point
c.append( pos=(1,0,0) ) # add orange point | [
"[email protected]"
]
| |
24593538760a1009040733cb6b22ec4ed9378e7c | 0308ce9bc6772a9c49b4f6ff4b73a9a31b9ad33e | /source/django-oscar/tests/settings.py | 9cbdfebebdc619e0c15f36a191516da7942aeb4b | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause"
]
| permissive | SpivEgin/devenv | 27a9211c68293b16578fe3959578be822da7e1ca | 8c89aa77a38d6a0e915d99e02afcc5ae46fc39f3 | refs/heads/master | 2023-01-20T21:00:20.978045 | 2017-05-19T03:55:36 | 2017-05-19T03:55:36 | 91,119,096 | 1 | 1 | null | 2023-01-12T06:51:14 | 2017-05-12T18:27:47 | Python | UTF-8 | Python | false | false | 4,252 | py | import os
from django import VERSION as DJANGO_VERSION
import oscar
from oscar.defaults import * # noqa
# Path helper
location = lambda x: os.path.join(os.path.dirname(os.path.realpath(__file__)), x)
ALLOWED_HOSTS = ['test', '.oscarcommerce.com']
DATABASES = {
'default': {
'ENGINE': os.environ.get('DATABASE_ENGINE', 'django.db.backends.postgresql_psycopg2'),
'NAME': os.environ.get('DATABASE_NAME', 'oscar'),
}
}
INSTALLED_APPS = [
'django.contrib.auth',
'django.contrib.admin',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.flatpages',
'django.contrib.staticfiles',
'widget_tweaks',
# contains models we need for testing
'tests._site.model_tests_app',
'tests._site.myauth',
# Use a custom partner app to test overriding models. I can't
# find a way of doing this on a per-test basis, so I'm using a
# global change.
] + oscar.get_core_apps(['tests._site.apps.partner', 'tests._site.apps.customer'])
AUTH_USER_MODEL = 'myauth.User'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [
location('_site/templates'),
oscar.OSCAR_MAIN_TEMPLATE_DIR,
],
'OPTIONS': {
'loaders': [
('django.template.loaders.cached.Loader', [
'django.template.loaders.filesystem.Loader',
'django.template.loaders.app_directories.Loader',
]),
],
'context_processors': [
'django.contrib.auth.context_processors.auth',
'django.template.context_processors.request',
'django.template.context_processors.debug',
'django.template.context_processors.i18n',
'django.template.context_processors.media',
'django.template.context_processors.static',
'django.contrib.messages.context_processors.messages',
'oscar.apps.search.context_processors.search_form',
'oscar.apps.customer.notifications.context_processors.notifications',
'oscar.apps.promotions.context_processors.promotions',
'oscar.apps.checkout.context_processors.checkout',
'oscar.core.context_processors.metadata',
]
}
}
]
if DJANGO_VERSION < (1, 10):
MIDDLEWARE_CLASSES = [
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'oscar.apps.basket.middleware.BasketMiddleware',
]
else:
MIDDLEWARE = [
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'oscar.apps.basket.middleware.BasketMiddleware',
]
AUTHENTICATION_BACKENDS = (
'oscar.apps.customer.auth_backends.EmailBackend',
'django.contrib.auth.backends.ModelBackend',
)
HAYSTACK_CONNECTIONS = {'default': {'ENGINE': 'haystack.backends.simple_backend.SimpleEngine'}}
PASSWORD_HASHERS = ['django.contrib.auth.hashers.MD5PasswordHasher']
ROOT_URLCONF = 'tests._site.urls'
LOGIN_REDIRECT_URL = '/accounts/'
STATIC_URL = '/static/'
DEBUG = False
SITE_ID = 1
USE_TZ = 1
APPEND_SLASH = True
DDF_DEFAULT_DATA_FIXTURE = 'tests.dynamic_fixtures.OscarDynamicDataFixtureClass'
SESSION_SERIALIZER = 'django.contrib.sessions.serializers.JSONSerializer'
LANGUAGE_CODE = 'en-gb'
# temporary workaround for issue in sorl-thumbnail in Python 3
# https://github.com/mariocesar/sorl-thumbnail/pull/254
THUMBNAIL_DEBUG = False,
OSCAR_INITIAL_ORDER_STATUS = 'A'
OSCAR_ORDER_STATUS_PIPELINE = {'A': ('B',), 'B': ()}
OSCAR_INITIAL_LINE_STATUS = 'a'
OSCAR_LINE_STATUS_PIPELINE = {'a': ('b', ), 'b': ()}
SECRET_KEY = 'notverysecret'
TEST_RUNNER = 'django.test.runner.DiscoverRunner'
| [
"[email protected]"
]
| |
4b640544a4d88ad57b67c273a4c148f38fbf646b | 3cedc2e0867a53ed2f36e01624f369693d1a050d | /rnn/rnn82.py | 58782ee9209e1ef370e14af147d9f4169ab882b7 | []
| no_license | lkpiel/mastersthesis | a471d8c6a5881e13599b22965dd3f437c83fc967 | 71c723b435b347d2805e159b6e10828f89541e98 | refs/heads/master | 2023-02-20T11:57:45.266361 | 2018-05-06T11:17:43 | 2018-05-06T11:17:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,282 | py | #! /usr/bin/python3
import sys
print(sys.version)
import sys
import pandas
import numpy as np
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential, load_model
from keras.layers import Dense, Dropout, Average, Merge, Layer, Conv2D, MaxPooling2D, GlobalAveragePooling2D, GlobalAveragePooling2D, AveragePooling2D, Reshape, BatchNormalization
from keras.optimizers import SGD, Adam
from keras import initializers
from keras import regularizers
from keras import constraints
from keras import backend as K
from IPython.core.debugger import Tracer
from keras.layers import Masking, LSTM, TimeDistributed, Bidirectional, Flatten
from keras.callbacks import ModelCheckpoint, ReduceLROnPlateau
from keras import callbacks
from keras.constraints import maxnorm, unitnorm
from sklearn.preprocessing import OneHotEncoder
import pdb
import keras
#FORMAT DATA
#ONE HOT ENCODES A GIVEN COLUMN
def onehot(x): return np.array(OneHotEncoder().fit_transform(x.values.reshape(-1,1)).todense())
def format(data):
del data['Unnamed: 605']
mask = data['AgeGroup'] == 'ag1'
column_name = 'AgeGroup'
data.loc[mask, column_name] = 0
mask = data['AgeGroup'] == 'ag2'
column_name = 'AgeGroup'
data.loc[mask, column_name] = 1
mask = data['AgeGroup'] == 'ag3'
column_name = 'AgeGroup'
data.loc[mask, column_name] = 2
mask = data['Gender'] == 'm'
column_name = 'Gender'
data.loc[mask, column_name] = 0
mask = data['Gender'] == 'f'
column_name = 'Gender'
data.loc[mask, column_name] = 1
return data
def smooth_labels(y, smooth_factor):
'''Convert a matrix of one-hot row-vector labels into smoothed versions.
# Arguments
y: matrix of one-hot row-vector labels to be smoothed
smooth_factor: label smoothing factor (between 0 and 1)
# Returns
A matrix of smoothed labels.
'''
assert len(y.shape) == 2
if 0 <= smooth_factor <= 1:
# label smoothing ref: https://www.robots.ox.ac.uk/~vgg/rg/papers/reinception.pdf
y *= 1 - smooth_factor
y += smooth_factor / y.shape[1]
else:
raise Exception('Invalid label smoothing factor: ' + str(smooth_factor))
return y
def dot_product(x, kernel):
"""
Wrapper for dot product operation, in order to be compatible with both
Theano and Tensorflow
Args:
x (): input
kernel (): weights
Returns:
"""
if K.backend() == 'tensorflow':
return K.squeeze(K.dot(x, K.expand_dims(kernel)), axis=-1)
else:
return K.dot(x, kernel)
class AttentionWithContext(Layer):
"""
Attention operation, with a context/query vector, for temporal data.
Supports Masking.
Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf]
"Hierarchical Attention Networks for Document Classification"
by using a context vector to assist the attention
# Input shape
3D tensor with shape: `(samples, steps, features)`.
# Output shape
2D tensor with shape: `(samples, features)`.
How to use:
Just put it on top of an RNN Layer (GRU/LSTM/SimpleRNN) with return_sequences=True.
The dimensions are inferred based on the output shape of the RNN.
Note: The layer has been tested with Keras 2.0.6
Example:
model.add(LSTM(64, return_sequences=True))
model.add(AttentionWithContext())
# next add a Dense layer (for classification/regression) or whatever...
"""
def __init__(self,
W_regularizer=None, u_regularizer=None, b_regularizer=None,
W_constraint=None, u_constraint=None, b_constraint=None,
bias=True, **kwargs):
self.supports_masking = True
self.init = initializers.get('glorot_uniform')
self.W_regularizer = regularizers.get(W_regularizer)
self.u_regularizer = regularizers.get(u_regularizer)
self.b_regularizer = regularizers.get(b_regularizer)
self.W_constraint = constraints.get(W_constraint)
self.u_constraint = constraints.get(u_constraint)
self.b_constraint = constraints.get(b_constraint)
self.bias = bias
super(AttentionWithContext, self).__init__(**kwargs)
def build(self, input_shape):
print(input_shape)
assert len(input_shape) == 3
self.W = self.add_weight((input_shape[-1], input_shape[-1],),
initializer=self.init,
name='{}_W'.format(self.name),
regularizer=self.W_regularizer,
constraint=self.W_constraint)
if self.bias:
self.b = self.add_weight((input_shape[-1],),
initializer='zero',
name='{}_b'.format(self.name),
regularizer=self.b_regularizer,
constraint=self.b_constraint)
self.u = self.add_weight((input_shape[-1],),
initializer=self.init,
name='{}_u'.format(self.name),
regularizer=self.u_regularizer,
constraint=self.u_constraint)
super(AttentionWithContext, self).build(input_shape)
def compute_mask(self, input, input_mask=None):
# do not pass the mask to the next layers
return None
def call(self, x, mask=None):
uit = dot_product(x, self.W)
if self.bias:
uit += self.b
uit = K.tanh(uit)
ait = dot_product(uit, self.u)
a = K.exp(ait)
# apply mask after the exp. will be re-normalized next
if mask is not None:
# Cast the mask to floatX to avoid float64 upcasting in theano
a *= K.cast(mask, K.floatx())
# in some cases especially in the early stages of training the sum may be almost zero
# and this results in NaN's. A workaround is to add a very small positive number epsilon to the sum.
# a /= K.cast(K.sum(a, axis=1, keepdims=True), K.floatx())
a /= K.cast(K.sum(a, axis=1, keepdims=True) + K.epsilon(), K.floatx())
a = K.expand_dims(a)
weighted_input = x * a
return K.sum(weighted_input, axis=1)
def compute_output_shape(self, input_shape):
return input_shape[0], input_shape[-1]
import tensorflow as tf
import keras
from keras import backend as K
def age_group_accuracy(y_true, y_pred):
array = np.array([0]*13 + [1]*2 + [2]*13000000)
age_to_group = K.variable(value=array, dtype='int32', name='age_to_group')
ages_true = tf.gather(age_to_group, tf.cast(tf.rint(y_true), tf.int32))
ages_pred = tf.gather(age_to_group, tf.cast(tf.rint(y_pred), tf.int32))
return K.mean(K.equal(ages_true, ages_pred), axis=-1)
#LOAD LABELS
train_data_i_vectors = pandas.read_csv("/storage/tanel/child_age_gender/exp/ivectors_2048/train/export.csv", sep=" ")
train_data_i_vectors = format(train_data_i_vectors)
train_labels_age_group = onehot(train_data_i_vectors['AgeGroup'])
val_data_i_vectors = pandas.read_csv("/storage/tanel/child_age_gender/exp/ivectors_2048/dev/export.csv", sep=" ")
val_data_i_vectors = format(val_data_i_vectors)
val_labels_age_group = onehot(val_data_i_vectors['AgeGroup'])
test_data_i_vectors = pandas.read_csv("/storage/tanel/child_age_gender/exp/ivectors_2048/test/export.csv", sep=" ")
test_data_i_vectors = format(test_data_i_vectors)
test_labels_age_group = onehot(test_data_i_vectors['AgeGroup'])
train_labels_age = train_data_i_vectors['Age']
val_labels_age = val_data_i_vectors['Age']
test_labels_age = test_data_i_vectors['Age']
import random
x = []
for i in range(train_labels_age.size):
x.append(train_labels_age[i] + random.uniform(-0.49, 0.49))
train_labels_age = np.array(x)
np.save("./randomized_train_labels_0_5", train_labels_age)
#LOAD DATA
#train_data_padded = np.load("/storage/hpc_lkpiel/data/fbank_train_data_padded.npy", encoding="bytes")[..., np.newaxis]
val_data_padded = np.load("/storage/hpc_lkpiel/data/fbank_val_data_padded.npy", encoding="bytes")[..., np.newaxis]
test_data_padded = np.load("/storage/hpc_lkpiel/data/fbank_test_data_padded.npy", encoding="bytes")[..., np.newaxis]
print ("DATA LOADED")
################################################################################################
reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.7,
patience=2, min_lr=0.0001, verbose=1)
kernel_regularizer = regularizers.l2(0.0001)
model_82 = Sequential([
Conv2D(128, (3, 20), activation='relu', border_mode='valid', input_shape=(1107, 20, 1)),
Conv2D(128, (3, 1), activation='relu', border_mode='valid'),
Conv2D(128, (3, 1), activation='relu', border_mode='valid'),
Conv2D(128, (3, 1), activation='relu', border_mode='valid'),
Reshape((-1, 128)),
Bidirectional(LSTM(64, return_sequences=True)),
AttentionWithContext(),
Dense(1)
])
print ("model_82 BUILT")
model_82.compile(loss='mse', optimizer=SGD(0.01), metrics=[age_group_accuracy])
print ("model_82 COMPILED")
checkpoint = ModelCheckpoint(filepath='/models/model_82.hdf5', monitor='val_age_group_accuracy', save_best_only=True)
model_82.load_weights('/models/model_78.hdf5')
'''
history = model_82.fit(x=train_data_padded,
y=train_labels_age,
validation_data=(val_data_padded, val_labels_age),
epochs=30,
verbose=1,
batch_size=128,
callbacks=[checkpoint]
)
np.save('../history/history_model_82.npy', history.history)
modelHistory = np.load('../history/history_model_82.npy').item()
print ("HISTORY: ")
print (modelHistory)
'''
model_82.load_weights('/models/model_82.hdf5')
val_predictions = model_82.predict(val_data_padded)
print ("VAL PREDICTED")
test_predictions = model_82.predict(test_data_padded)
print ("TEST PREDICTED")
np.save('/home/hpc_lkpiel/predictions/val/model_82.npy', val_predictions)
print ("VAL SAVED")
np.save('/home/hpc_lkpiel/predictions/test/model_82.npy', test_predictions)
print ("TEST SAVED")
print ("WROTE TO FILE model_82")
######################################## | [
"[email protected]"
]
| |
da48712a86cf4e6e34fa836703e6b99e8b23ddda | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /x44ZRvQtJ6TyZQhwx_20.py | f70bec02e1d036caf0e6764bad719e56541eceeb | []
| no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 260 | py |
def is_pandigital(n):
holder = []
for num in str(n):
holder.append(num)
unique = list(map(int, list(dict.fromkeys(holder))))
values_to_check = list(range(0, 10))
result = all(elem in unique for elem in values_to_check)
return(result)
| [
"[email protected]"
]
| |
0b4fa5edf61e03ebd315420faa11e09cf3b22720 | 564b9c85088ad5f3dd5929fb617f04086967558c | /m_f_CWproj/m_f_app/views.py | 249c133416c8d61b51313d7ea33c903c39fbd650 | []
| no_license | cs-fullstack-2019-spring/django-modelform1-cw-Joshtg1104 | 044b760627f350d1657470b30d1bb5ece5aed203 | dd96648f9b5f019b1cbf6deb198f63af3dc29915 | refs/heads/master | 2020-04-25T18:08:01.539136 | 2019-03-01T19:46:32 | 2019-03-01T19:46:32 | 172,974,343 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | py | from django.http import HttpResponse
from django.shortcuts import render
from .forms import NewPostForm
# Create your views here.
# index function that applies the form "NewPostForm" to newPost.html
def index(request):
newPost = NewPostForm()
if request.method == "POST":
print("It works")
newPost = NewPostForm(request.POST)
if newPost.is_valid():
newPost.save(commit=True)
return render(request, "m_f_app/blogEntry.html") # render blogEntry.html once post is entered
else:
context = {
"posts": newPost
}
return render(request, "m_f_app/newPost.html", context)
| [
"[email protected]"
]
| |
c23eb8db332afec90a2ef03172fdfaffb27a4130 | 5cbd6ef31c94f671c76e49d4c8ea607df157ac02 | /tests/test_colors.py | 2e97602836ddf342aaabff90faf2d5f519541dd8 | [
"MIT"
]
| permissive | brianbruggeman/kelte | 5e182370f1d6b88cd9e262c06c075926870181f6 | 6dd8a53da07697ffc87e62aa397be7b3b08f0aa0 | refs/heads/master | 2020-03-20T23:17:58.841258 | 2018-07-10T21:53:18 | 2018-07-24T15:55:48 | 137,839,700 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,950 | py | import pytest
@pytest.mark.parametrize(
"data",
[
{ # default
"kwds": {},
"expected": {
"red": 0,
"green": 0,
"blue": 0,
"alpha": 255,
"hex": "00" * 3,
"hexa": "00" * 3 + "ff",
},
},
{ # black
"attrs": {"hexa": "000000ff"},
"expected": {
"red": 0,
"green": 0,
"blue": 0,
"alpha": 255,
"hex": "00" * 3,
"hexa": "00" * 3 + "ff",
},
},
{ # white
"kwds": {"r": 1.0, "g": 1.0, "b": 1.0, "a": 1.0},
"expected": {
"red": 255,
"green": 255,
"blue": 255,
"alpha": 255,
"hex": "ff" * 3,
"hexa": "ff" * 4,
},
},
],
)
def test_color_data_class(data):
from kelte.colors import Color
kwds = data.get("kwds")
attrs = data.get("attrs")
expected = data["expected"]
if kwds:
c = Color(**kwds)
else:
c = Color()
if attrs:
for attr_name, attr_value in attrs.items():
try:
setattr(c, attr_name, attr_value)
except AttributeError:
c.__dict__[attr_name].__setattr__("value", attr_value)
for key, value in expected.items():
assert getattr(c, key) == value
assert c == tuple(c)
@pytest.mark.parametrize(
"data",
[
{ # default
"name": "red",
"args": (255, 0, "00", 1.0),
"named_tdl_color": "red",
"named_args": (255, 0, 0, 255),
}
],
)
def test_tdl_color_integration(data):
import tcod as tdl
from kelte.colors import Color
# Get
name = data["name"]
args = data["args"]
tdl_color = getattr(tdl, name)
c = Color(*args)
assert tdl_color == c.tdl_color
# Set
named_tdl_color = data["named_tdl_color"]
named_args = data["named_args"]
named_tdl_color = getattr(tdl, named_tdl_color)
c.tdl_color = named_tdl_color
assert c == Color(*named_args)
assert c == named_tdl_color
@pytest.mark.parametrize(
"data",
[
{"args": [None], "raises": TypeError, "expected": None}, # None
{"kwds": {"value": 1.0}, "raises": None, "expected": 1.0}, # float
{"kwds": {"value": 255}, "raises": None, "expected": 1.0}, # integer
{"args": ["ff"], "raises": None, "expected": 1.0}, # string
{ # out of range integer
"kwds": {"value": 256},
"raises": ValueError,
"expected": None,
},
{ # out of range float
"kwds": {"value": 1.1},
"raises": ValueError,
"expected": None,
},
],
)
def test_convert(data):
from kelte.colors import _convert
args = data.get("args", [])
kwds = data.get("kwds", {})
raises = data.get("raises")
expected = data.get("expected")
def run(*args, **kwds):
if args and kwds:
result = _convert(*args, **kwds)
elif args:
result = _convert(*args)
elif kwds:
result = _convert(**kwds)
else:
raise RuntimeError("No data")
assert result == expected
if not raises:
run(*args, **kwds)
else:
with pytest.raises(raises):
run(*args, **kwds)
def test_get_color():
import tcod as tdl
from kelte.colors import get_color
tdl_colors = {
d: getattr(tdl, d) for d in dir(tdl) if isinstance(getattr(tdl, d), tdl.Color)
}
for tdl_color_name, tdl_color in tdl_colors.items():
kelte_color = get_color(tdl_color_name)
assert kelte_color == tdl_color
if __name__ == "__main__":
import sys
pytest.main(sys.argv)
| [
"[email protected]"
]
| |
dd2ad3e05f47b691c6e78059e89ea5774dccd80d | 6559138a129678027dc82c059330cfaa14d61897 | /src/0.py | 8065041b974a6cf118ce1091864cc2ab446a4da4 | [
"CC0-1.0"
]
| permissive | ytyaru/Python.curses.20210607091706 | 7c9b449920ba426a5a5bd7d739efc6f071007b38 | 50a38593cbe71da4d8c667a3afa8be0b36ee8f02 | refs/heads/master | 2023-05-31T13:19:40.736629 | 2021-06-09T04:05:11 | 2021-06-09T04:05:11 | 374,500,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 800 | py | #!/usr/bin/env python3
# coding: utf8
# 色をセットする。
import os, curses
def main(stdscr):
if not curses.has_colors(): raise Exception('このターミナルは色を表示できません。')
if not curses.can_change_color(): raise Exception('このターミナルは色を変更できません。')
curses.use_default_colors()
for i in range(1, curses.COLORS):
curses.init_pair(i, i-1, -1)
curses.init_pair(1, 0, 15) # curses.COLOR_BLACK, curses.COLOR_WHITE
try:
for i in range(1, curses.COLORS):
stdscr.addstr(str(i).rjust(3), curses.A_REVERSE | curses.color_pair(i))
except curses.ERR: pass
stdscr.refresh()
stdscr.getkey()
if __name__ == "__main__":
os.environ['TERM'] = 'xterm-256color'
curses.wrapper(main)
| [
"[email protected]"
]
| |
ad040adb2f5a1b4fa3eb0e8111e40362616bd91a | b22588340d7925b614a735bbbde1b351ad657ffc | /athena/Trigger/TrigSteer/TrigSteering/share/pureSteering_menu_with_multi_seeding.py | 29a92c02af4ab242863feb1cbb6a7965ae498cdf | []
| no_license | rushioda/PIXELVALID_athena | 90befe12042c1249cbb3655dde1428bb9b9a42ce | 22df23187ef85e9c3120122c8375ea0e7d8ea440 | refs/heads/master | 2020-12-14T22:01:15.365949 | 2020-01-19T03:59:35 | 2020-01-19T03:59:35 | 234,836,993 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,667 | py | from TriggerMenu.TriggerConfigLVL1 import TriggerConfigLVL1
from TriggerMenu.l1.Lvl1Flags import Lvl1Flags
from TriggerMenu.l1.Lvl1MenuItems import LVL1MenuItem
from TriggerMenu.l1.TriggerTypeDef import TT
from TriggerMenu.l1.Lvl1Condition import ThrCondition, Lvl1InternalTrigger
from TriggerMenu.l1.Logic import Logic
# L1 necessary
Lvl1Flags.thresholds = ['EM3','EM25i']
Lvl1Flags.items = ['L1_EM3','L1_EM25i']
l1menu = TriggerConfigLVL1(outputFile = 'l1menu.xml', menuName = 'menutest', topoMenu = None)
LVL1MenuItem.l1configForRegistration = l1menu
bgrp = Logic(Lvl1InternalTrigger('BGRP0')) & Logic(Lvl1InternalTrigger('BGRP1'))
thr = l1menu.registerThr('EM3','EM').addThrValue(3)
LVL1MenuItem('L1_EM3').setLogic( ThrCondition(thr) & bgrp ).setTriggerType( TT.calo )
thr = l1menu.registerThr('EM25i','EM').addThrValue(25)
LVL1MenuItem('L1_EM25i').setLogic( ThrCondition(thr) & bgrp ).setTriggerType( TT.calo )
from TriggerMenu.menu.TriggerPythonConfig import TriggerPythonConfig
from TriggerMenu.menu.HLTObjects import HLTChain
menu = TriggerPythonConfig('pureSteering_menu.xml')
from TrigSteeringTest.TrigSteeringTestConf import PESA__dummyAlgo, PESA__dummyHypo, PESA__newDummyAlgo2To1, PESA__newDummyAlgoAllTEs, PESA__dummyAlgoHLTErrorCode, PESA__dummyMonitoredFex, PESA__dummyAlgoForCalibration
Egamma = PESA__dummyAlgo('Egamma_L2') # create configurable instance
Egamma2 = PESA__dummyAlgo('Egamma2_L2') # create configurable another instance
EgammaAdv3 = PESA__dummyAlgo("EgammaAdv3")
EgammaAdv_L2 = PESA__dummyAlgo("EgammaAdv_L2")
menu.addSequence("EM15i" , [ Egamma, Egamma2, EgammaAdv3 ] , "em15i" ) # use bot here, mixing with old fassioned way
menu.addSequence("em15i" , EgammaAdv_L2, "em15i'" ) # create configurable on the fly
# chains
# passage based on EM3
chain = HLTChain( chain_name="L2_Ored", chain_counter="100", lower_chain_name="L1_MU6,L1_EM25i", level="HLT", prescale="1", pass_through="0")
chain.addStreamTag('electrons', prescale='1', obeyLB="0")
chain.addGroup("electrons")
menu.addHLTChain(chain)
chain = HLTChain( chain_name="L2_e25i", chain_counter="101", lower_chain_name="L1_EM25i", level="HLT", prescale="1", pass_through="0")
chain.addStreamTag('electrons', prescale='1', obeyLB="0")
chain.addGroup("electrons")
menu.addHLTChain(chain)
chain = HLTChain( chain_name="L2_mu6", chain_counter="102", lower_chain_name="L1_MU6", level="HLT", prescale="1", pass_through="0")
chain.addStreamTag('electrons', prescale='1', obeyLB="0")
chain.addGroup("electrons")
menu.addHLTChain(chain)
menu.writeConfigFiles();
menu.dot(algs=True)
| [
"[email protected]"
]
| |
a149115e46739b848bda41b1dcf90d87e52bf605 | 2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae | /python/python_13371.py | 322e85169c6dc9863b7ef4ed1e782d6d7ded750a | []
| no_license | AK-1121/code_extraction | cc812b6832b112e3ffcc2bb7eb4237fd85c88c01 | 5297a4a3aab3bb37efa24a89636935da04a1f8b6 | refs/heads/master | 2020-05-23T08:04:11.789141 | 2015-10-22T19:19:40 | 2015-10-22T19:19:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 135 | py | # How to implemente oauth process in a different window and then reload caller window
window.parent.location.reload();
window.close();
| [
"[email protected]"
]
| |
9f71501b969443ac8f8eb704fe52c12ef0ec0c03 | 6e9c9128054da7eea28a4627381df28f95416ee5 | /finance_ml/labeling/trend.py | 5f114e57c71fe6fb5efa361de0ecb43606c8b615 | [
"MIT"
]
| permissive | BTCTON/finance_ml | c5a4ad2486608ad19c92c04c70fe513be135c236 | a585be2d04db5a749eb6b39b7336e5aeb30d6327 | refs/heads/master | 2021-12-23T07:53:13.791609 | 2021-10-15T01:47:41 | 2021-10-15T01:47:41 | 158,898,508 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,671 | py | import numpy as np
import pandas as pd
import multiprocessing as mp
import statsmodels.api as sm
from ..multiprocessing import mp_pandas_obj
def t_val_linreg(close):
x = np.ones((close.shape[0], 2))
x[:, 1] = np.arange(close.shape[0])
ols = sm.OLS(close, x).fit()
return ols.tvalues[1]
def _get_bins_from_trend(molecule, close, min_step, max_step, step):
out = pd.DataFrame(index=molecule, columns=['t1', 't_val','bin'])
hrzns = list(range(min_step, max_step + 1, step))
for dt0 in molecule:
iloc0 = close.index.get_loc(dt0)
if iloc0 + max(hrzns) > close.shape[0]:
continue
df0 = pd.Series()
for hrzn in hrzns:
dt1 = close.index[iloc0 + hrzn - 1]
df1 = close.loc[dt0:dt1]
df0.loc[dt1] = t_val_linreg(df1.values)
# Get maximum tstats point
dt1 = df0.replace([-np.inf, np.inf, np.nan], 0).abs().idxmax()
out.loc[dt0, ['t1', 't_val', 'bin']] = df0.index[-1], df0[dt1], np.sign(df0[dt1])
out['t1'] = pd.to_datetime(out['t1'])
out['bin'] = pd.to_numeric(out['bin'], downcast='signed')
return out.dropna(subset=['bin'])
def get_bins_from_trend(close, max_step, min_step=3, step=1, num_threads=None):
if num_threads is None:
num_threads = mp.cpu_count()
output = mp_pandas_obj(func=_get_bins_from_trend,
pd_obj=('molecule', close.index),
num_threads=num_threads,
close=close,
max_step=max_step,
min_step=min_step,
step=step)
return output
| [
"[email protected]"
]
| |
796050d7fcc74771bea6bbb5c4dcb549237f4767 | 88f7a8c58de6003722ec45a0ad752023470a2121 | /snippets/logger.py | fdbfbc110e6c46ea24078264cf0f075ce6dd0b5b | [
"MIT"
]
| permissive | boada/planckClusters | 5f90fcdddb13040a6ba50ef8d24eac390ae6e476 | 731be562e9e91e4468f5a90d8f161a4e9593fcc8 | refs/heads/master | 2021-01-13T14:30:19.473845 | 2019-12-18T21:19:43 | 2019-12-18T21:19:43 | 74,033,781 | 3 | 0 | null | 2017-09-05T15:09:18 | 2016-11-17T14:18:33 | Python | UTF-8 | Python | false | false | 1,452 | py | """
These functions can be used for logging information.
.. Warning:: logger is not multiprocessing safe.
:author: Sami-Matias Niemi
:contact: [email protected]
:version: 0.3
"""
from __future__ import print_function
from builtins import object
import logging
import logging.handlers
def setUpLogger(log_filename, loggername='logger'):
"""
Sets up a logger.
:param: log_filename: name of the file to save the log.
:param: loggername: name of the logger
:return: logger instance
"""
# create logger
logger = logging.getLogger(loggername)
logger.setLevel(logging.DEBUG)
# Add the log message handler to the logger
handler = logging.handlers.RotatingFileHandler(log_filename)
#maxBytes=20, backupCount=5)
# create formatter
formatter = logging.Formatter(
'%(asctime)s - %(module)s - %(funcName)s - %(levelname)s - %(message)s')
# add formatter to ch
handler.setFormatter(formatter)
# add handler to logger
logger.addHandler(handler)
return logger
class SimpleLogger(object):
"""
A simple class to create a log file or print the information on screen.
"""
def __init__(self, filename, verbose=False):
self.file = open(filename, 'w')
self.verbose = verbose
def write(self, text):
"""
Writes text either to file or screen.
"""
print(text, file=self.file)
if self.verbose: print(text)
| [
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]
| |
56bbe72cc69782b3a1eb894bcbf4c83145739ce8 | 19907d6f47f7af804b0ddee642d98edd170d7f58 | /tests/test_param.py | 943303a993ebac47c916b34093468acd6d0c3503 | [
"MIT"
]
| permissive | GuancongLuo/roslibpy | 3560080271d9df841a051abab402479fdcc895f2 | 92b97d6daa78d30384e3a347d46be51c6e7fbd01 | refs/heads/main | 2023-07-13T02:06:10.846579 | 2021-08-13T11:48:22 | 2021-08-13T11:48:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 337 | py | from roslibpy import Param
from roslibpy import Ros
def test_param_manipulation():
ros = Ros('127.0.0.1', 9090)
ros.run()
param = Param(ros, 'test_param')
assert param.get() is None
param.set('test_value')
assert param.get() == 'test_value'
param.delete()
assert param.get() is None
ros.close()
| [
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]
| |
09b864579ac3497d0486423317416ded477a0db9 | 711756b796d68035dc6a39060515200d1d37a274 | /output_cog_tags/initial_9331.py | 552551a0597c6aa2699bf45fd4d1323e76fb108c | []
| no_license | batxes/exocyst_scripts | 8b109c279c93dd68c1d55ed64ad3cca93e3c95ca | a6c487d5053b9b67db22c59865e4ef2417e53030 | refs/heads/master | 2020-06-16T20:16:24.840725 | 2016-11-30T16:23:16 | 2016-11-30T16:23:16 | 75,075,164 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,332 | py | import _surface
import chimera
try:
import chimera.runCommand
except:
pass
from VolumePath import markerset as ms
try:
from VolumePath import Marker_Set, Link
new_marker_set=Marker_Set
except:
from VolumePath import volume_path_dialog
d= volume_path_dialog(True)
new_marker_set= d.new_marker_set
marker_sets={}
surf_sets={}
if "Cog1_Anch" not in marker_sets:
s=new_marker_set('Cog1_Anch')
marker_sets["Cog1_Anch"]=s
s= marker_sets["Cog1_Anch"]
mark=s.place_marker((565, 306, 449), (0, 0, 1), 21.9005)
if "Cog2_GFPN" not in marker_sets:
s=new_marker_set('Cog2_GFPN')
marker_sets["Cog2_GFPN"]=s
s= marker_sets["Cog2_GFPN"]
mark=s.place_marker((962, 365, 656), (1, 0.5, 0), 21.9005)
if "Cog2_GFPC" not in marker_sets:
s=new_marker_set('Cog2_GFPC')
marker_sets["Cog2_GFPC"]=s
s= marker_sets["Cog2_GFPC"]
mark=s.place_marker((508, 155, 114), (1, 0.5, 0), 21.9005)
if "Cog2_Anch" not in marker_sets:
s=new_marker_set('Cog2_Anch')
marker_sets["Cog2_Anch"]=s
s= marker_sets["Cog2_Anch"]
mark=s.place_marker((684, 442, 968), (1, 0.5, 0), 21.9005)
if "Cog3_GFPN" not in marker_sets:
s=new_marker_set('Cog3_GFPN')
marker_sets["Cog3_GFPN"]=s
s= marker_sets["Cog3_GFPN"]
mark=s.place_marker((865, 924, 616), (1, 0.87, 0), 21.9005)
if "Cog3_GFPC" not in marker_sets:
s=new_marker_set('Cog3_GFPC')
marker_sets["Cog3_GFPC"]=s
s= marker_sets["Cog3_GFPC"]
mark=s.place_marker((975, 275, 494), (1, 0.87, 0), 21.9005)
if "Cog3_Anch" not in marker_sets:
s=new_marker_set('Cog3_Anch')
marker_sets["Cog3_Anch"]=s
s= marker_sets["Cog3_Anch"]
mark=s.place_marker((73, 361, 504), (1, 0.87, 0), 21.9005)
if "Cog4_GFPN" not in marker_sets:
s=new_marker_set('Cog4_GFPN')
marker_sets["Cog4_GFPN"]=s
s= marker_sets["Cog4_GFPN"]
mark=s.place_marker((980, 209, 831), (0.97, 0.51, 0.75), 21.9005)
if "Cog4_GFPC" not in marker_sets:
s=new_marker_set('Cog4_GFPC')
marker_sets["Cog4_GFPC"]=s
s= marker_sets["Cog4_GFPC"]
mark=s.place_marker((337, 707, 802), (0.97, 0.51, 0.75), 21.9005)
if "Cog4_Anch" not in marker_sets:
s=new_marker_set('Cog4_Anch')
marker_sets["Cog4_Anch"]=s
s= marker_sets["Cog4_Anch"]
mark=s.place_marker((925, 828, 933), (0.97, 0.51, 0.75), 21.9005)
if "Cog5_GFPN" not in marker_sets:
s=new_marker_set('Cog5_GFPN')
marker_sets["Cog5_GFPN"]=s
s= marker_sets["Cog5_GFPN"]
mark=s.place_marker((633, 959, 252), (0.39, 0.31, 0.14), 21.9005)
if "Cog5_GFPC" not in marker_sets:
s=new_marker_set('Cog5_GFPC')
marker_sets["Cog5_GFPC"]=s
s= marker_sets["Cog5_GFPC"]
mark=s.place_marker((382, 631, 801), (0.39, 0.31, 0.14), 21.9005)
if "Cog5_Anch" not in marker_sets:
s=new_marker_set('Cog5_Anch')
marker_sets["Cog5_Anch"]=s
s= marker_sets["Cog5_Anch"]
mark=s.place_marker((701, 484, 387), (0.39, 0.31, 0.14), 21.9005)
if "Cog6_GFPN" not in marker_sets:
s=new_marker_set('Cog6_GFPN')
marker_sets["Cog6_GFPN"]=s
s= marker_sets["Cog6_GFPN"]
mark=s.place_marker((288, 985, 78), (0.6, 0.31, 0.64), 21.9005)
if "Cog6_GFPC" not in marker_sets:
s=new_marker_set('Cog6_GFPC')
marker_sets["Cog6_GFPC"]=s
s= marker_sets["Cog6_GFPC"]
mark=s.place_marker((732, 724, 98), (0.6, 0.31, 0.64), 21.9005)
if "Cog6_Anch" not in marker_sets:
s=new_marker_set('Cog6_Anch')
marker_sets["Cog6_Anch"]=s
s= marker_sets["Cog6_Anch"]
mark=s.place_marker((383, 183, 918), (0.6, 0.31, 0.64), 21.9005)
if "Cog7_GFPN" not in marker_sets:
s=new_marker_set('Cog7_GFPN')
marker_sets["Cog7_GFPN"]=s
s= marker_sets["Cog7_GFPN"]
mark=s.place_marker((749, 218, 45), (0.89, 0.1, 0.1), 21.9005)
if "Cog7_GFPC" not in marker_sets:
s=new_marker_set('Cog7_GFPC')
marker_sets["Cog7_GFPC"]=s
s= marker_sets["Cog7_GFPC"]
mark=s.place_marker((534, 194, 633), (0.89, 0.1, 0.1), 21.9005)
if "Cog7_Anch" not in marker_sets:
s=new_marker_set('Cog7_Anch')
marker_sets["Cog7_Anch"]=s
s= marker_sets["Cog7_Anch"]
mark=s.place_marker((768, 306, 997), (0.89, 0.1, 0.1), 21.9005)
if "Cog8_GFPC" not in marker_sets:
s=new_marker_set('Cog8_GFPC')
marker_sets["Cog8_GFPC"]=s
s= marker_sets["Cog8_GFPC"]
mark=s.place_marker((925, 416, 300), (0.3, 0.69, 0.29), 21.9005)
if "Cog8_Anch" not in marker_sets:
s=new_marker_set('Cog8_Anch')
marker_sets["Cog8_Anch"]=s
s= marker_sets["Cog8_Anch"]
mark=s.place_marker((464, 22, 225), (0.3, 0.69, 0.29), 21.9005)
for k in surf_sets.keys():
chimera.openModels.add([surf_sets[k]])
| [
"[email protected]"
]
| |
6e30cc3df48b3e879295e8c3e9842e10d1b8cbbe | 67a7c314fc99d9cd7a677fcb6bc2b6dfa20a9cff | /feeds/admin.py | 1468de4b629f86c39aa9a3bf5e76bab219607b47 | []
| no_license | Xodarap/Eipi | 7ebbb9fd861fdb411c1e273ea5d2a088aa579930 | d30997a737912e38316c198531f7cb9c5693c313 | refs/heads/master | 2016-09-11T06:28:01.333832 | 2011-05-03T15:35:20 | 2011-05-03T15:35:20 | 1,367,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 135 | py | from eipi2.feeds.models import Story, Source
from django.contrib import admin
#admin.site.register(Story)
admin.site.register(Source)
| [
"eipi@mybox.(none)"
]
| eipi@mybox.(none) |
9a1fd6a0cc906e207694663ee5bd730c1dabfb9a | 4ae3b27a1d782ae43bc786c841cafb3ace212d55 | /Test_Slen/Pytest_proj/01/unit_proj1/unittest_code/test_calc.py | ad41eb73c03723bfdbcc20d36f7d612633eab79e | []
| no_license | bopopescu/Py_projects | c9084efa5aa02fd9ff6ed8ac5c7872fedcf53e32 | a2fe4f198e3ca4026cf2e3e429ac09707d5a19de | refs/heads/master | 2022-09-29T20:50:57.354678 | 2020-04-28T05:23:14 | 2020-04-28T05:23:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,838 | py | # Run all tests in the project
# (01) C:\Users\jsun\Documents\Py_projects\Pytest_proj\01\unit_proj1>python -m unittest discover
#
# run certain test files
# (01) C:\Users\jsun\Documents\Py_projects\Pytest_proj\01\unit_proj1>python -m unittest unittest_code.test_calc
#
# run a module in a file
# (01) C:\Users\jsun\Documents\Py_projects\Pytest_proj\01\unit_proj1>python -m unittest unittest_code.test_calc.CalculatorTest
import unittest
from dev_code.calc import Calculator
NUMBER_1 = 3.0
NUMBER_2 = 2.0
FAILURE = 'incorrect value'
class CalculatorTest(unittest.TestCase):
def setUp(self):
self.calc = Calculator()
def test_last_answer_init(self):
value = self.calc.last_answer
self.assertEqual(value, 0.0, FAILURE)
def test_add(self):
value = self.calc.add(NUMBER_1, NUMBER_2)
self.assertEqual(value, 5.0, FAILURE)
self.assertEqual(value, self.calc.last_answer, FAILURE)
def test_subtract(self):
value = self.calc.subtract(NUMBER_1, NUMBER_2)
self.assertEqual(value, 1.0, FAILURE)
self.assertEqual(value, self.calc.last_answer, FAILURE)
def test_subtract_negative(self):
value = self.calc.subtract(NUMBER_2, NUMBER_1)
self.assertEqual(value, -1.0, FAILURE)
self.assertEqual(value, self.calc.last_answer, FAILURE)
def test_multiply(self):
value = self.calc.multiply(NUMBER_1, NUMBER_2)
self.assertEqual(value, 6.0, FAILURE)
self.assertEqual(value, self.calc.last_answer, FAILURE)
def test_divide(self):
value = self.calc.divide(NUMBER_1, NUMBER_2)
self.assertEqual(value, 1.5, FAILURE)
self.assertEqual(value, self.calc.last_answer, FAILURE)
def test_divide_by_zero(self):
self.assertRaises(ZeroDivisionError, self.calc.divide, NUMBER_1, 0) | [
"[email protected]"
]
| |
f464a13b1fcfdec9f6c272a83db482c04e00a7ea | 6fcfb638fa725b6d21083ec54e3609fc1b287d9e | /python/darcymason_pydicom/pydicom-master/pydicom/examples/write_new.py | fa26c8a48166bc0bbc812d9e5803e25e98916302 | []
| no_license | LiuFang816/SALSTM_py_data | 6db258e51858aeff14af38898fef715b46980ac1 | d494b3041069d377d6a7a9c296a14334f2fa5acc | refs/heads/master | 2022-12-25T06:39:52.222097 | 2019-12-12T08:49:07 | 2019-12-12T08:49:07 | 227,546,525 | 10 | 7 | null | 2022-12-19T02:53:01 | 2019-12-12T07:29:39 | Python | UTF-8 | Python | false | false | 2,901 | py | # write_new.py
"""Simple example of writing a DICOM file from scratch using pydicom.
This example does not produce a DICOM standards compliant file as written,
you will have to change UIDs to valid values and add all required DICOM data
elements
"""
# Copyright (c) 2010-2012 Darcy Mason
# This file is part of pydicom, released under a modified MIT license.
# See the file license.txt included with this distribution, also
# available at https://github.com/darcymason/pydicom
from __future__ import print_function
import sys
import datetime
import os.path
import pydicom
from pydicom.dataset import Dataset, FileDataset
import pydicom.uid
if __name__ == "__main__":
print("---------------------------- ")
print("write_new.py example program")
print("----------------------------")
print("Demonstration of writing a DICOM file using pydicom")
print("NOTE: this is only a demo. Writing a DICOM standards compliant file")
print("would require official UIDs, and checking the DICOM standard to ensure")
print("that all required data elements were present.")
print()
if sys.platform.lower().startswith("win"):
filename = r"c:\temp\test.dcm"
filename2 = r"c:\temp\test-explBig.dcm"
else:
homedir = os.path.expanduser("~")
filename = os.path.join(homedir, "test.dcm")
filename2 = os.path.join(homedir, "test-explBig.dcm")
print("Setting file meta information...")
# Populate required values for file meta information
file_meta = Dataset()
file_meta.MediaStorageSOPClassUID = '1.2.840.10008.5.1.4.1.1.2' # CT Image Storage
file_meta.MediaStorageSOPInstanceUID = "1.2.3" # !! Need valid UID here for real work
file_meta.ImplementationClassUID = "1.2.3.4" # !!! Need valid UIDs here
print("Setting dataset values...")
# Create the FileDataset instance (initially no data elements, but file_meta supplied)
ds = FileDataset(filename, {}, file_meta=file_meta, preamble=b"\0" * 128)
# Add the data elements -- not trying to set all required here. Check DICOM standard
ds.PatientName = "Test^Firstname"
ds.PatientID = "123456"
# Set the transfer syntax
ds.is_little_endian = True
ds.is_implicit_VR = True
# Set creation date/time
dt = datetime.datetime.now()
ds.ContentDate = dt.strftime('%Y%m%d')
timeStr = dt.strftime('%H%M%S.%f') # long format with micro seconds
ds.ContentTime = timeStr
print("Writing test file", filename)
ds.save_as(filename)
print("File saved.")
# Write as a different transfer syntax
ds.file_meta.TransferSyntaxUID = pydicom.uid.ExplicitVRBigEndian # XXX shouldn't need this but pydicom 0.9.5 bug not recognizing transfer syntax
ds.is_little_endian = False
ds.is_implicit_VR = False
print("Writing test file as Big Endian Explicit VR", filename2)
ds.save_as(filename2)
| [
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]
| |
4bb0c638739f9c54859ab0701f29eb16d585d092 | d4f87828a3767788dfbd83ef150d4af13c8ac762 | /test/test_session.py | 7a5ca329d60dca3375956d57a7a7f1204720222e | []
| no_license | n-sundararajan/python-looker-api | 55dc6779843e28796c573a62ee30b75e135e8be5 | 498301068e7bd983b99d6647785a9f3d315ceadd | refs/heads/master | 2020-03-19T13:52:39.284698 | 2018-06-08T10:33:07 | 2018-06-08T10:33:07 | 136,599,073 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,408 | py | # coding: utf-8
"""
Looker API 3.0 Reference
### Authorization The Looker API uses Looker **API3** credentials for authorization and access control. Looker admins can create API3 credentials on Looker's **Admin/Users** page. Pass API3 credentials to the **/login** endpoint to obtain a temporary access_token. Include that access_token in the Authorization header of Looker API requests. For details, see [Looker API Authorization](https://looker.com/docs/r/api/authorization) ### Client SDKs The Looker API is a RESTful system that should be usable by any programming language capable of making HTTPS requests. Client SDKs for a variety of programming languages can be generated from the Looker API's Swagger JSON metadata to streamline use of the Looker API in your applications. A client SDK for Ruby is available as an example. For more information, see [Looker API Client SDKs](https://looker.com/docs/r/api/client_sdks) ### Try It Out! The 'api-docs' page served by the Looker instance includes 'Try It Out!' buttons for each API method. After logging in with API3 credentials, you can use the \"Try It Out!\" buttons to call the API directly from the documentation page to interactively explore API features and responses. ### Versioning Future releases of Looker will expand this API release-by-release to securely expose more and more of the core power of Looker to API client applications. API endpoints marked as \"beta\" may receive breaking changes without warning. Stable (non-beta) API endpoints should not receive breaking changes in future releases. For more information, see [Looker API Versioning](https://looker.com/docs/r/api/versioning) # noqa: E501
OpenAPI spec version: 3.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.models.session import Session # noqa: E501
from swagger_client.rest import ApiException
class TestSession(unittest.TestCase):
"""Session unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testSession(self):
"""Test Session"""
# FIXME: construct object with mandatory attributes with example values
# model = swagger_client.models.session.Session() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| [
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]
| |
399662f6cd4782e90c7f737db9a999755c6b4f28 | b2f660f8b81cdf172baaa20c16ad845c3b1944d1 | /core/src/cgcloud/core/cloud_init_box.py | 85b565e69b7fa50f89413bdef6dac5a5c3c41a5b | []
| no_license | adderan/cgcloud | 761088e0e4e969a728ba4e406823aa38e535ab37 | 6430e6816ee6233dc219a9df4c00c8112e13515b | refs/heads/master | 2020-12-26T03:10:21.211589 | 2015-07-21T06:02:04 | 2015-07-21T06:02:04 | 39,169,013 | 0 | 0 | null | 2015-07-16T01:04:08 | 2015-07-16T01:04:07 | null | UTF-8 | Python | false | false | 8,344 | py | from abc import abstractmethod
from fabric.operations import run
import yaml
from cgcloud.core.box import Box, fabric_task
from cgcloud.core.instance_type import ec2_instance_types
class CloudInitBox( Box ):
"""
A box that uses Canonical's cloud-init to initialize the EC2 instance.
"""
def _ephemeral_mount_point( self, i ):
return '/mnt/ephemeral' + ('' if i == 0 else str( i ))
@abstractmethod
def _get_package_installation_command( self, package ):
"""
Return the command that needs to be invoked to install the given package. The returned
command is an array whose first element is a path or file name of an executable while the
remaining elements are arguments to that executable.
"""
raise NotImplementedError( )
def _get_virtual_block_device_prefix( self ):
"""
Return the common prefix of paths representing virtual block devices on this box.
"""
return '/dev/xvd'
def _populate_cloud_config( self, instance_type, user_data ):
"""
Populate cloud-init's configuration for injection into a newly created instance
:param user_data: a dictionary that will be be serialized into YAML and used as the
instance's user-data
"""
# see __wait_for_cloud_init_completion()
runcmd = user_data.setdefault( 'runcmd', [ ] )
runcmd.append( [ 'touch', '/tmp/cloud-init.done' ] )
#
# Lucid's and Oneiric's cloud-init mount ephemeral storage on /mnt instead of
# /mnt/ephemeral, Fedora doesn't mount it at all. To keep it consistent across
# releases and platforms we should be explicit.
#
# Also note that Lucid's mountall waits on the disk device. On t1.micro instances this
# doesn't show up causing Lucid to hang on boot on this type. The cleanest way to handle
# this is to remove the ephemeral entry on t1.micro instances by specififying [
# 'ephemeral0', None ]. Unfortunately, there is a bug [1] in cloud-init that causes the
# removal of the entry to be ineffective. The "nobootwait" option might be a workaround
# but Fedora stopped supporting it such that now only Ubuntu supports it. A better
# workaround is to always have the ephemeral entry in fstab, even on micro instances,
# but to exclude the 'auto' option such that when cloud-init runs 'mount -a', it will not
# get mounted. We can then mount the filesystem explicitly, except on micro instances.
#
# The important thing to keep in mind is that when booting instance B from an image
# created on a instance A, the fstab from A will be used by B before cloud-init can make
# its changes to fstab. This behavior is a major cause of problems and the reason why
# micro instances tend to freeze when booting from images created on non-micro instances
# since their fstab initially refers to an ephemeral volume that doesn't exist. The
# nobootwait and nofail flags are really just attempts at working around this issue.
#
# [1]: https://bugs.launchpad.net/cloud-init/+bug/1291820
#
mounts = user_data.setdefault( 'mounts', [ ] )
mounts.append(
[ 'ephemeral0', self._ephemeral_mount_point( 0 ), 'auto', 'defaults,noauto' ] )
commands = [ ]
# On instances booted from a stock images we will likely need to install mdadm.
# Furthermore, we need to install it on every instance type since an image taken from an
# instance with one instance store volume may be used to spawn an instance with multiple
# instance store volumes.
if self.generation == 0:
commands.append( self._get_package_installation_command( 'mdadm' ) )
num_disks = instance_type.disks
device_prefix = self._get_virtual_block_device_prefix( )
def device_name( i ):
return device_prefix + (chr( ord( 'b' ) + i ))
if num_disks == 0:
pass
elif instance_type.disk_type == 'HDD':
# For HDDs we assume the disk is formatted and we mount each disk separately
for i in range( num_disks ):
mount = self._ephemeral_mount_point( i )
if mount is not None:
commands.append( [ 'mkdir', '-p', mount ] )
commands.append( [ 'mount', device_name( i ), mount ] )
elif num_disks == 1:
# The r3 family does not format the ephemeral SSD volume so will have to do it
# manually. Other families may also exhibit that behavior so we will format every SSD
# volume. It only takes a second *and* ensures that we have a particular type of
# filesystem, i.e. ext4. We don't know what the device will be (cloud-init determines
# this at runtime) named so we simply try all possible names.
if instance_type.disk_type == 'SSD':
commands.append( [ 'mkfs.ext4', '-E', 'nodiscard', device_name( 0 ) ] )
commands.append( [ 'mount', device_name( 0 ), self._ephemeral_mount_point( 0 ) ] )
elif num_disks > 1:
# RAID multiple SSDs into one, then format and mount it.
devices = [ device_name( i ) for i in range( num_disks ) ]
commands.extend( [
[ 'mdadm',
'--create', '/dev/md0',
'--run', # do not prompt for confirmation
'--level', '0', # RAID 0, i.e. striped
'--raid-devices', str( num_disks ) ] + devices,
# Disable auto scan at boot time, which would otherwise mount device on reboot
# as md127 before these commands are run.
'echo "AUTO -all" > /etc/mdadm/mdadm.conf',
# Copy mdadm.conf into init ramdisk
[ 'update-initramfs', '-u' ],
[ 'mkfs.ext4', '-E', 'nodiscard', '/dev/md0' ],
[ 'mount', '/dev/md0', self._ephemeral_mount_point( 0 ) ] ] )
else:
assert False
# Prepend commands as a best effort to getting volume preparation done as early as
# possible in the boot sequence. Note that CloudInit's 'bootcmd' is run on every boot,
# 'runcmd' only once after instance creation.
bootcmd = user_data.setdefault( 'bootcmd', [ ] )
bootcmd[ 0:0 ] = commands
def _populate_instance_creation_args( self, image, kwargs ):
super( CloudInitBox, self )._populate_instance_creation_args( image, kwargs )
cloud_config = { }
instance_type = ec2_instance_types[ kwargs[ 'instance_type' ] ]
self._populate_cloud_config( instance_type, cloud_config )
if cloud_config:
if 'user_data' in kwargs:
raise ReferenceError( "Conflicting user-data" )
user_data = '#cloud-config\n' + yaml.dump( cloud_config )
kwargs[ 'user_data' ] = user_data
def _on_instance_ready( self, first_boot ):
super( CloudInitBox, self )._on_instance_ready( first_boot )
if first_boot:
# cloud-init is run on every boot, but only on the first boot will it invoke the user
# script that signals completion
self.__wait_for_cloud_init_completion( )
@fabric_task
def __wait_for_cloud_init_completion( self ):
"""
Wait for cloud-init to finish its job such as to avoid getting in its way. Without this,
I've seen weird errors with 'apt-get install' not being able to find any packages.
Since this method belongs to a mixin, the author of a derived class is responsible for
invoking this method before any other setup action.
"""
#
# /var/lib/cloud/instance/boot-finished is only being written by newer cloud-init releases.
# For example, it isn't being written by the cloud-init for Lucid. We must use our own file
# created by a runcmd, see _populate_cloud_config()
#
run( 'echo -n "Waiting for cloud-init to finish ..." ; '
'while [ ! -e /tmp/cloud-init.done ]; do '
'echo -n "."; '
'sleep 1; '
'done; '
'echo ", done."' )
| [
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]
| |
8e0824c850a042e87ea7c8ce05119a0b59d37eca | dd35833bead7de2f2ca7affd985ac0d345b2ab6e | /apps/trade/adminx.py | ab5b4d915f633a0a7dbb263fc9dd28104e07e87c | []
| no_license | lhsheild/MxShop | df14c11aa7457f304194ff099a35869d83f0d9a7 | 811be4dad55284e737c80ebd4d00c079837393f2 | refs/heads/master | 2020-05-27T16:23:00.578686 | 2019-09-10T08:09:01 | 2019-09-10T08:09:01 | 188,130,934 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 656 | py | # trade/adminx.py
__author__ = 'derek'
import xadmin
from .models import ShoppingCart, OrderInfo, OrderGoods
class ShoppingCartAdmin(object):
list_display = ["user", "goods", "nums", ]
class OrderInfoAdmin(object):
list_display = ["user", "order_sn", "trade_no", "pay_status", "post_script", "order_mount",
"order_mount", "pay_time", "add_time"]
class OrderGoodsInline(object):
model = OrderGoods
exclude = ['add_time', ]
extra = 1
style = 'tab'
inlines = [OrderGoodsInline, ]
xadmin.site.register(ShoppingCart, ShoppingCartAdmin)
xadmin.site.register(OrderInfo, OrderInfoAdmin)
| [
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]
| |
a1424d110e77f4bb77673e4f6a542829529d41b1 | de40d3fa8d8af0030556d27d6833f6a1a0e7700c | /baekjoon/3036py/a.py | 981dc22c90b5ec6aadaa481201e84db3e998b531 | []
| no_license | NeoMindStd/CodingLife | cd6a627209c0353f4855f09fd5dfef8da4bbfef6 | bcb6c3752f472e6a4f3b8f158d02bc3599dfcda3 | refs/heads/master | 2022-12-24T10:42:45.390085 | 2022-12-11T16:27:16 | 2022-12-11T16:27:16 | 191,797,634 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 235 | py | def gcd(a, b):
while b != 0:
a, b = b, a % b
return a
input()
rings = list(map(int, input().split()))
for i in range(1, len(rings)):
g = gcd(rings[0], rings[i])
print("%d/%d" %(rings[0]//g, rings[i]//g))
| [
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]
| |
3fb17157eabb72cf0582411fe8606ee38f2b47bc | 0d4ec25fb2819de88a801452f176500ccc269724 | /missing_words.py | f9dc6f23dfc2433a00eec544316e21f47b3862a2 | []
| no_license | zopepy/leetcode | 7f4213764a6a079f58402892bd0ede0514e06fcf | 3bfee704adb1d94efc8e531b732cf06c4f8aef0f | refs/heads/master | 2022-01-09T16:13:09.399620 | 2019-05-29T20:00:11 | 2019-05-29T20:00:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 346 | py | def missingWords(s, t):
s = s.split()
t = t.split()
sl = len(s)
tl = len(t)
i = 0
j = 0
missing = []
while i<sl or j<tl:
if i<sl and j<tl and s[i] == t[j]:
i+=1
j+=1
else:
missing.append(s[i])
i+=1
return missing
s = "I am using hackerrank to improve programming"
t = "am hackerrank to improve"
print(missingWords(s, t)) | [
"[email protected]"
]
| |
6cf8cd691b13e24ce9df52d46259cef29fdf0c2d | 1fe8d4133981e53e88abf633046060b56fae883e | /venv/lib/python3.8/site-packages/keras/optimizer_v2/learning_rate_schedule.py | 44b502c0fd85e896c1bb8b0cb0755f152482e8d8 | []
| no_license | Akira331/flask-cifar10 | 6c49db8485038731ce67d23f0972b9574746c7a7 | 283e7a2867c77d4b6aba7aea9013bf241d35d76c | refs/heads/master | 2023-06-14T16:35:06.384755 | 2021-07-05T14:09:15 | 2021-07-05T14:09:15 | 382,864,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | version https://git-lfs.github.com/spec/v1
oid sha256:d64207cd938934798e16ea7cab234dc04101b6193775075e683965bd07f43ce7
size 38611
| [
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]
| |
58d7bb7fcdd3c6a57d6f09ecd8bf6afd942d5ddc | 1d60c5a7b8ce6277bff514e376f79848f706344c | /Data Scientist with Python - Career Track /22. Machine Learning with the Experts: School Budgets/02. Creating a simple first model/04. Writing out your results to a csv for submission.py | 1ecf2dabc884d95e4128cdc5264f21ac5eb946f2 | []
| no_license | DidiMilikina/DataCamp | 338c6e6d3b4f5b6c541c1aba155a36e9ee24949d | 3bf2cf3c1430190a7f8e54efda7d50a5fd66f244 | refs/heads/master | 2020-12-15T13:16:54.178967 | 2020-05-06T17:30:54 | 2020-05-06T17:30:54 | 235,113,616 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,935 | py | '''
Writing out your results to a csv for submission
At last, you're ready to submit some predictions for scoring. In this exercise, you'll write your predictions to a .csv using the .to_csv() method on a pandas DataFrame. Then you'll evaluate your performance according to the LogLoss metric discussed earlier!
You'll need to make sure your submission obeys the correct format.
To do this, you'll use your predictions values to create a new DataFrame, prediction_df.
Interpreting LogLoss & Beating the Benchmark:
When interpreting your log loss score, keep in mind that the score will change based on the number of samples tested. To get a sense of how this very basic model performs, compare your score to the DrivenData benchmark model performance: 2.0455, which merely submitted uniform probabilities for each class.
Remember, the lower the log loss the better. Is your model's log loss lower than 2.0455?
Instructions
100 XP
Create the prediction_df DataFrame by specifying the following arguments to the provided parameters pd.DataFrame():
pd.get_dummies(df[LABELS]).columns.
holdout.index.
predictions.
Save prediction_df to a csv file called 'predictions.csv' using the .to_csv() method.
Submit the predictions for scoring by using the score_submission() function with pred_path set to 'predictions.csv'.
'''
SOLUTION
# Generate predictions: predictions
predictions = clf.predict_proba(holdout[NUMERIC_COLUMNS].fillna(-1000))
# Format predictions in DataFrame: prediction_df
prediction_df = pd.DataFrame(columns=pd.get_dummies(df[LABELS]).columns,
index=holdout.index,
data=predictions)
# Save prediction_df to csv
prediction_df.to_csv('predictions.csv')
# Submit the predictions for scoring: score
score = score_submission(pred_path='predictions.csv')
# Print score
print('Your model, trained with numeric data only, yields logloss score: {}'.format(score)) | [
"[email protected]"
]
| |
7901103214afbd0b66f90ed496afaa03613081e1 | 1f2b85cc95a1f65df81c0dec8bfb8d7e5652aa88 | /schema/sdss5db/catalogdb/sdss_qso/dr16/sdss_dr16_qso_load.py | aa63b00775fb326e5c4ad9f70ad4140c5bfbffa5 | [
"BSD-3-Clause"
]
| permissive | sdss/sdssdb | 2f22a90c51e1281c154f6c518a1ce8951f84a5ce | f7d3ef3ccfecd87b50ce05cf6af5a564679f15f5 | refs/heads/main | 2023-09-01T14:51:05.374886 | 2023-08-30T20:23:10 | 2023-08-30T20:23:10 | 136,257,152 | 9 | 3 | BSD-3-Clause | 2023-09-14T16:31:47 | 2018-06-06T01:55:39 | Python | UTF-8 | Python | false | false | 912 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: José Sánchez-Gallego ([email protected])
# @Date: 2020-07-17
# @Filename: sdss_dr16_qso_load.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
import os
import astropy.table
from sdssdb.peewee.sdss5db import database
from sdssdb.utils.ingest import to_csv
assert database.connected
def main():
database.become_admin()
file_ = os.environ['CATALOGDB_DIR'] + '/sdss_qso/dr16q/DR16Q_v4.fits'
data = astropy.table.Table.read(file_)
data.meta = {}
data.rename_columns(data.colnames, list(map(lambda x: x.lower(), data.colnames)))
to_csv(data, file_ + '.csv', header=False, delimiter=',')
del data
cursor = database.cursor()
fileobj = open(file_ + '.csv')
cursor.copy_from(fileobj, 'catalogdb.sdss_dr16_qso', sep=',')
database.commit()
if __name__ == '__main__':
main()
| [
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]
| |
458e5843502120422f19ee16994dd5abe8dbc752 | f3b233e5053e28fa95c549017bd75a30456eb50c | /ptp1b_input/L80/80-79_MD_NVT_rerun/set_7.py | 7458323d9005088ca69f07063dec0e7ea8f6b48f | []
| no_license | AnguseZhang/Input_TI | ddf2ed40ff1c0aa24eea3275b83d4d405b50b820 | 50ada0833890be9e261c967d00948f998313cb60 | refs/heads/master | 2021-05-25T15:02:38.858785 | 2020-02-18T16:57:04 | 2020-02-18T16:57:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 741 | py | import os
dir = '/mnt/scratch/songlin3/run/ptp1b/L80/MD_NVT_rerun/ti_one-step/80_79/'
filesdir = dir + 'files/'
temp_prodin = filesdir + 'temp_prod_7.in'
temp_pbs = filesdir + 'temp_7.pbs'
lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078]
for j in lambd:
os.chdir("%6.5f" %(j))
workdir = dir + "%6.5f" %(j) + '/'
#prodin
prodin = workdir + "%6.5f_prod_7.in" %(j)
os.system("cp %s %s" %(temp_prodin, prodin))
os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, prodin))
#PBS
pbs = workdir + "%6.5f_7.pbs" %(j)
os.system("cp %s %s" %(temp_pbs, pbs))
os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, pbs))
#submit pbs
#os.system("qsub %s" %(pbs))
os.chdir(dir)
| [
"[email protected]"
]
| |
7767c267e199e09d0e46349c097f5d5e81c5418b | bcc11151867b5f9ad765503348ab62d276aa03c7 | /astroNN/models/CNNBase.py | 681d284dd7e53494c87be3ec356bae34b42c30a8 | [
"MIT"
]
| permissive | tundeakins/astroNN | a513492f51a3e053097d746f2d2e1ecc45fac73e | 07147dc6775dc37a8737650821a1370088327de1 | refs/heads/master | 2020-04-05T14:18:21.037721 | 2018-11-09T21:28:26 | 2018-11-09T21:28:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,393 | py | import json
import os
import time
from abc import ABC
import numpy as np
from sklearn.model_selection import train_test_split
from astroNN.config import MULTIPROCESS_FLAG
from astroNN.config import _astroNN_MODEL_NAME
from astroNN.config import keras_import_manager
from astroNN.models.NeuralNetMaster import NeuralNetMaster
from astroNN.nn.callbacks import VirutalCSVLogger
from astroNN.nn.losses import categorical_crossentropy, binary_crossentropy
from astroNN.nn.losses import mean_squared_error, mean_absolute_error, mean_error
from astroNN.nn.metrics import categorical_accuracy, binary_accuracy
from astroNN.nn.utilities import Normalizer
from astroNN.nn.utilities.generator import threadsafe_generator, GeneratorMaster
keras = keras_import_manager()
regularizers = keras.regularizers
ReduceLROnPlateau, EarlyStopping = keras.callbacks.ReduceLROnPlateau, keras.callbacks.EarlyStopping
Adam = keras.optimizers.Adam
class CNNDataGenerator(GeneratorMaster):
"""
NAME:
CNNDataGenerator
PURPOSE:
To generate data for Keras
INPUT:
OUTPUT:
HISTORY:
2017-Dec-02 - Written - Henry Leung (University of Toronto)
"""
def __init__(self, batch_size, shuffle=True):
super().__init__(batch_size, shuffle)
def _data_generation(self, inputs, labels, idx_list_temp):
x = self.input_d_checking(inputs, idx_list_temp)
y = labels[idx_list_temp]
return x, y
@threadsafe_generator
def generate(self, inputs, labels):
# Infinite loop
idx_list = range(inputs.shape[0])
while 1:
# Generate order of exploration of dataset
indexes = self._get_exploration_order(idx_list)
# Generate batches
imax = int(len(indexes) / self.batch_size)
for i in range(imax):
# Find list of IDs
idx_list_temp = indexes[i * self.batch_size:(i + 1) * self.batch_size]
# Generate data
x, y = self._data_generation(inputs, labels, idx_list_temp)
yield x, y
class CNNPredDataGenerator(GeneratorMaster):
"""
NAME:
CNNPredDataGenerator
PURPOSE:
To generate data for Keras model prediction
INPUT:
OUTPUT:
HISTORY:
2017-Dec-02 - Written - Henry Leung (University of Toronto)
"""
def __init__(self, batch_size, shuffle=False):
super().__init__(batch_size, shuffle)
def _data_generation(self, inputs, idx_list_temp):
# Generate data
x = self.input_d_checking(inputs, idx_list_temp)
return x
@threadsafe_generator
def generate(self, inputs):
# Infinite loop
idx_list = range(inputs.shape[0])
while 1:
# Generate order of exploration of dataset
indexes = self._get_exploration_order(idx_list)
# Generate batches
imax = int(len(indexes) / self.batch_size)
for i in range(imax):
# Find list of IDs
idx_list_temp = indexes[i * self.batch_size:(i + 1) * self.batch_size]
# Generate data
x = self._data_generation(inputs, idx_list_temp)
yield x
class CNNBase(NeuralNetMaster, ABC):
"""Top-level class for a convolutional neural network"""
def __init__(self):
"""
NAME:
__init__
PURPOSE:
To define astroNN convolutional neural network
HISTORY:
2018-Jan-06 - Written - Henry Leung (University of Toronto)
"""
super().__init__()
self.name = 'Convolutional Neural Network'
self._model_type = 'CNN'
self._model_identifier = None
self.initializer = None
self.activation = None
self._last_layer_activation = None
self.num_filters = None
self.filter_len = None
self.pool_length = None
self.num_hidden = None
self.reduce_lr_epsilon = None
self.reduce_lr_min = None
self.reduce_lr_patience = None
self.l1 = None
self.l2 = None
self.maxnorm = None
self.dropout_rate = 0.0
self.val_size = 0.1
self.early_stopping_min_delta = 0.0001
self.early_stopping_patience = 4
self.input_norm_mode = 1
self.labels_norm_mode = 2
def compile(self, optimizer=None, loss=None, metrics=None, loss_weights=None, sample_weight_mode=None):
if optimizer is not None:
self.optimizer = optimizer
elif self.optimizer is None or self.optimizer == 'adam':
self.optimizer = Adam(lr=self.lr, beta_1=self.beta_1, beta_2=self.beta_2, epsilon=self.optimizer_epsilon,
decay=0.0)
if self.task == 'regression':
self._last_layer_activation = 'linear'
loss_func = mean_squared_error
if self.metrics is None:
self.metrics = [mean_absolute_error, mean_error]
elif self.task == 'classification':
self._last_layer_activation = 'softmax'
loss_func = categorical_crossentropy
if self.metrics is None:
self.metrics = [categorical_accuracy]
elif self.task == 'binary_classification':
self._last_layer_activation = 'sigmoid'
loss_func = binary_crossentropy
if self.metrics is None:
self.metrics = [binary_accuracy(from_logits=False)]
else:
raise RuntimeError('Only "regression", "classification" and "binary_classification" are supported')
self.keras_model = self.model()
self.keras_model.compile(loss=loss_func, optimizer=self.optimizer, metrics=self.metrics, loss_weights=None)
return None
def pre_training_checklist_child(self, input_data, labels):
self.pre_training_checklist_master(input_data, labels)
# check if exists (exists mean fine-tuning, so we do not need calculate mean/std again)
if self.input_normalizer is None:
self.input_normalizer = Normalizer(mode=self.input_norm_mode)
self.labels_normalizer = Normalizer(mode=self.labels_norm_mode)
norm_data = self.input_normalizer.normalize(input_data)
self.input_mean, self.input_std = self.input_normalizer.mean_labels, self.input_normalizer.std_labels
norm_labels = self.labels_normalizer.normalize(labels)
self.labels_mean, self.labels_std = self.labels_normalizer.mean_labels, self.labels_normalizer.std_labels
else:
norm_data = self.input_normalizer.normalize(input_data, calc=False)
norm_labels = self.labels_normalizer.normalize(labels, calc=False)
if self.keras_model is None: # only compiler if there is no keras_model, e.g. fine-tuning does not required
self.compile()
self.train_idx, self.val_idx = train_test_split(np.arange(self.num_train), test_size=self.val_size)
self.training_generator = CNNDataGenerator(self.batch_size).generate(norm_data[self.train_idx],
norm_labels[self.train_idx])
self.validation_generator = CNNDataGenerator(
self.batch_size if len(self.val_idx) > self.batch_size else len(self.val_idx)).generate(
norm_data[self.val_idx], norm_labels[self.val_idx])
return input_data, labels
def train(self, input_data, labels):
"""
Train a Convolutional neural network
:param input_data: Data to be trained with neural network
:type input_data: ndarray
:param labels: Labels to be trained with neural network
:type labels: ndarray
:return: None
:rtype: NoneType
:History: 2017-Dec-06 - Written - Henry Leung (University of Toronto)
"""
# Call the checklist to create astroNN folder and save parameters
self.pre_training_checklist_child(input_data, labels)
reduce_lr = ReduceLROnPlateau(monitor='val_mean_absolute_error', factor=0.5,
min_delta=self.reduce_lr_epsilon,
patience=self.reduce_lr_patience, min_lr=self.reduce_lr_min, mode='min',
verbose=2)
early_stopping = EarlyStopping(monitor='val_mean_absolute_error', min_delta=self.early_stopping_min_delta,
patience=self.early_stopping_patience, verbose=2, mode='min')
self.virtual_cvslogger = VirutalCSVLogger()
self.__callbacks = [reduce_lr, self.virtual_cvslogger] # default must have unchangeable callbacks
if self.callbacks is not None:
if isinstance(self.callbacks, list):
self.__callbacks.extend(self.callbacks)
else:
self.__callbacks.append(self.callbacks)
start_time = time.time()
self.history = self.keras_model.fit_generator(generator=self.training_generator,
steps_per_epoch=self.num_train // self.batch_size,
validation_data=self.validation_generator,
validation_steps=max(self.val_num // self.batch_size, 1),
epochs=self.max_epochs, verbose=self.verbose,
workers=os.cpu_count(),
callbacks=self.__callbacks,
use_multiprocessing=MULTIPROCESS_FLAG)
print(f'Completed Training, {(time.time() - start_time):.{2}f}s in total')
if self.autosave is True:
# Call the post training checklist to save parameters
self.save()
return None
def train_on_batch(self, input_data, labels):
"""
Train a neural network by running a single gradient update on all of your data, suitable for fine-tuning
:param input_data: Data to be trained with neural network
:type input_data: ndarray
:param labels: Labels to be trained with neural network
:type labels: ndarray
:return: None
:rtype: NoneType
:History: 2018-Aug-22 - Written - Henry Leung (University of Toronto)
"""
self.has_model_check()
# check if exists (exists mean fine-tuning, so we do not need calculate mean/std again)
if self.input_normalizer is None:
self.input_normalizer = Normalizer(mode=self.input_norm_mode)
self.labels_normalizer = Normalizer(mode=self.labels_norm_mode)
norm_data = self.input_normalizer.normalize(input_data)
self.input_mean, self.input_std = self.input_normalizer.mean_labels, self.input_normalizer.std_labels
norm_labels = self.labels_normalizer.normalize(labels)
self.labels_mean, self.labels_std = self.labels_normalizer.mean_labels, self.labels_normalizer.std_labels
else:
norm_data = self.input_normalizer.normalize(input_data, calc=False)
norm_labels = self.labels_normalizer.normalize(labels, calc=False)
start_time = time.time()
fit_generator = CNNDataGenerator(input_data.shape[0], shuffle=False).generate(norm_data, norm_labels)
scores = self.keras_model.fit_generator(generator=fit_generator,
steps_per_epoch=1,
epochs=1,
verbose=self.verbose,
workers=os.cpu_count(),
use_multiprocessing=MULTIPROCESS_FLAG)
print(f'Completed Training on Batch, {(time.time() - start_time):.{2}f}s in total')
return None
def post_training_checklist_child(self):
self.keras_model.save(self.fullfilepath + _astroNN_MODEL_NAME)
print(_astroNN_MODEL_NAME + f' saved to {(self.fullfilepath + _astroNN_MODEL_NAME)}')
self.hyper_txt.write(f"Dropout Rate: {self.dropout_rate} \n")
self.hyper_txt.flush()
self.hyper_txt.close()
data = {'id': self.__class__.__name__ if self._model_identifier is None else self._model_identifier,
'pool_length': self.pool_length,
'filterlen': self.filter_len,
'filternum': self.num_filters,
'hidden': self.num_hidden,
'input': self._input_shape,
'labels': self._labels_shape,
'task': self.task,
'last_layer_activation': self._last_layer_activation,
'input_mean': self.input_mean.tolist(),
'labels_mean': self.labels_mean.tolist(),
'input_std': self.input_std.tolist(),
'labels_std': self.labels_std.tolist(),
'valsize': self.val_size,
'targetname': self.targetname,
'dropout_rate': self.dropout_rate,
'l1': self.l1,
'l2': self.l2,
'maxnorm': self.maxnorm,
'input_norm_mode': self.input_norm_mode,
'labels_norm_mode': self.labels_norm_mode,
'batch_size': self.batch_size}
with open(self.fullfilepath + '/astroNN_model_parameter.json', 'w') as f:
json.dump(data, f, indent=4, sort_keys=True)
def test(self, input_data):
"""
Use the neural network to do inference
:param input_data: Data to be inferred with neural network
:type input_data: ndarray
:return: prediction and prediction uncertainty
:rtype: ndarry
:History: 2017-Dec-06 - Written - Henry Leung (University of Toronto)
"""
self.has_model_check()
self.pre_testing_checklist_master()
input_data = np.atleast_2d(input_data)
if self.input_normalizer is not None:
input_array = self.input_normalizer.normalize(input_data, calc=False)
else:
# Prevent shallow copy issue
input_array = np.array(input_data)
input_array -= self.input_mean
input_array /= self.input_std
total_test_num = input_data.shape[0] # Number of testing data
# for number of training data smaller than batch_size
if input_data.shape[0] < self.batch_size:
self.batch_size = input_data.shape[0]
# Due to the nature of how generator works, no overlapped prediction
data_gen_shape = (total_test_num // self.batch_size) * self.batch_size
remainder_shape = total_test_num - data_gen_shape # Remainder from generator
predictions = np.zeros((total_test_num, self._labels_shape))
start_time = time.time()
print("Starting Inference")
# Data Generator for prediction
prediction_generator = CNNPredDataGenerator(self.batch_size).generate(input_array[:data_gen_shape])
predictions[:data_gen_shape] = np.asarray(self.keras_model.predict_generator(
prediction_generator, steps=input_array.shape[0] // self.batch_size))
if remainder_shape != 0:
remainder_data = input_array[data_gen_shape:]
# assume its caused by mono images, so need to expand dim by 1
if len(input_array[0].shape) != len(self._input_shape):
remainder_data = np.expand_dims(remainder_data, axis=-1)
result = self.keras_model.predict(remainder_data)
predictions[data_gen_shape:] = result.reshape((remainder_shape, self._labels_shape))
if self.labels_normalizer is not None:
predictions = self.labels_normalizer.denormalize(predictions)
else:
predictions *= self.labels_std
predictions += self.labels_mean
print(f'Completed Inference, {(time.time() - start_time):.{2}f}s elapsed')
return predictions
def evaluate(self, input_data, labels):
"""
Evaluate neural network by provided input data and labels and get back a metrics score
:param input_data: Data to be inferred with neural network
:type input_data: ndarray
:param labels: labels
:type labels: ndarray
:return: metrics score dictionary
:rtype: dict
:History: 2018-May-20 - Written - Henry Leung (University of Toronto)
"""
self.has_model_check()
# check if exists (exists mean fine-tuning, so we do not need calculate mean/std again)
if self.input_normalizer is None:
self.input_normalizer = Normalizer(mode=self.input_norm_mode)
self.labels_normalizer = Normalizer(mode=self.labels_norm_mode)
norm_data = self.input_normalizer.normalize(input_data)
self.input_mean, self.input_std = self.input_normalizer.mean_labels, self.input_normalizer.std_labels
norm_labels = self.labels_normalizer.normalize(labels)
self.labels_mean, self.labels_std = self.labels_normalizer.mean_labels, self.labels_normalizer.std_labels
else:
norm_data = self.input_normalizer.normalize(input_data, calc=False)
norm_labels = self.labels_normalizer.normalize(labels, calc=False)
eval_batchsize = self.batch_size if input_data.shape[0] > self.batch_size else input_data.shape[0]
steps = input_data.shape[0] // self.batch_size if input_data.shape[0] > self.batch_size else 1
start_time = time.time()
print("Starting Evaluation")
evaluate_generator = CNNDataGenerator(eval_batchsize, shuffle=False).generate(norm_data, norm_labels)
scores = self.keras_model.evaluate_generator(evaluate_generator, steps=steps)
outputname = self.keras_model.output_names
funcname = [func.__name__ for func in self.keras_model.metrics]
output_funcname = [outputname[0] + '_' + name for name in funcname]
list_names = ['loss', *output_funcname]
print(f'Completed Evaluation, {(time.time() - start_time):.{2}f}s elapsed')
return {name: score for name, score in zip(list_names, scores)}
| [
"[email protected]"
]
| |
7ace0aa7551fd6e52de05ba8a71f111252c72041 | 6ea5b91e7f14114bea0aadfd59178997c59cd75d | /mysite/settings.py | 515a48f15dedf8c785836a2b9b94ed1f90ba2cf3 | [
"MIT"
]
| permissive | sharif-42/django-elasticsearch | 68fe15333f4a2ed69c66b73bdeb27a0a1a28a115 | 999ee3382ef2ddcfcc62bd7ba330323000f3f1bf | refs/heads/main | 2023-06-18T04:04:54.162123 | 2021-07-18T03:58:47 | 2021-07-18T03:58:47 | 386,169,552 | 0 | 0 | MIT | 2021-07-18T03:58:48 | 2021-07-15T05:03:33 | Python | UTF-8 | Python | false | false | 3,525 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.2.5.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'django-insecure-#qh_-(j9#^^$li$o*o0qt85ek3^1#_e4#^n93q!ef-16_*_k#a'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
THIRD_PARTY_APPS = [
'rest_framework',
'django_elasticsearch_dsl',
]
LOCAL_APPS = [
'library',
'search',
]
INSTALLED_APPS = INSTALLED_APPS + THIRD_PARTY_APPS + LOCAL_APPS
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'mysite.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'mysite.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.2/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': BASE_DIR / 'db.sqlite3',
}
}
# Password validation
# https://docs.djangoproject.com/en/3.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.2/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.2/howto/static-files/
STATIC_URL = '/static/'
# Default primary key field type
# https://docs.djangoproject.com/en/3.2/ref/settings/#default-auto-field
DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
# Elastic Search
ELASTICSEARCH_DSL = {
'default': {
'hosts': '127.0.0.1:9200'
},
} | [
"[email protected]"
]
| |
22d4d44bb76d79af871bf58881fbafb98270f5cf | 9390033cecf4247f5edc6551c39e9de39c04b036 | /python/django/new_project/new_project/settings.py | 337949d998a67723f8026da2805507ec234a3a9f | []
| no_license | JennaDalgety/coding-dojo | 4940bb853a9fcd706bc30f1615ff824fc7f7788d | d2647257a5e93652978c911d65e2a6ff97653392 | refs/heads/master | 2020-02-26T14:59:02.324328 | 2019-03-20T23:13:38 | 2019-03-20T23:13:38 | 67,653,828 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,130 | py | """
Django settings for new_project project.
Generated by 'django-admin startproject' using Django 1.10.3.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '@ps_ai9jh@lz9+x9h)et$&@xscl(-!)u&*-h1e!jj(c1z8fu-c'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'apps.new_app'
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'new_project.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'new_project.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
| [
"[email protected]"
]
| |
24d12eba01fefcbfab00c21bc1fade185faa78e6 | 6c8c6e5d952cd821dbf6661e71896a473494a8eb | /blog/admin.py | 1e6fb4d2db410c56734a47133101fd69c3095635 | []
| no_license | Lethons/mywebsite | fe2d8fae75f1228e309a847071a7d4182f7b005d | 3a26c764ae0fa4bb628b3ed3fad3f04784e78153 | refs/heads/master | 2020-03-21T12:59:25.712867 | 2018-06-29T09:04:24 | 2018-06-29T09:04:24 | 138,582,050 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | from django.contrib import admin
from .models import Tag, Blog
# Register your models here.
@admin.register(Blog)
class BlogAdmin(admin.ModelAdmin):
list_display = ('title', 'author', 'tag', 'publish_time', 'update_time')
fields = ('title', 'content', 'publish_time', 'author', 'tag')
list_per_page = 20
list_filter = ('tag',)
@admin.register(Tag)
class TagAdmin(admin.ModelAdmin):
list_display = ('tag',)
list_per_page = 20
| [
"[email protected]"
]
| |
cc487a546b0b4540e9263ae5b052b35e62beae3d | 84a70e27982094ac78d34642674f4e873d571b23 | /src/apps/productos/migrations/0015_auto_20190812_2008.py | bfdc2ab0a43d78dca4ff19b2e75fce2e18fa6372 | []
| no_license | valenciacamilo12/Pagina-Web-Farmacia---Django- | 2b9eef0b0f5011247274a528d63fdaa0ed557fad | 7c8a9ac78bd2cf48706a2ef76cb32ac0824094ea | refs/heads/master | 2020-07-02T09:38:31.978196 | 2019-08-16T03:07:58 | 2019-08-16T03:07:58 | 201,487,924 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 513 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2019-08-13 01:08
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('productos', '0014_auto_20190812_1939'),
]
operations = [
migrations.AlterField(
model_name='producto',
name='producto_imagen',
field=models.ImageField(default='productos/product_01.png', upload_to='media/productos'),
),
]
| [
"[email protected]"
]
| |
7a32049f420bba3e44a3f942d34827eddd50153c | 68561c61c2a784f1765fae8b07e90d7ec53f1edd | /maestral/__init__.py | 7a979d2e1fb6e272c6317970de4a5baf55e2f40a | [
"MIT"
]
| permissive | ailiao/maestral-dropbox | 68213e219a21f0d76c80be839f73d65120cf99f5 | f7043ef23062d6cc85d61701cb129bdc8f09f065 | refs/heads/master | 2021-04-07T17:14:26.936449 | 2020-03-20T00:31:22 | 2020-03-20T00:31:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 561 | py | # -*- coding: utf-8 -*-
"""
@author: Sam Schott ([email protected])
(c) Sam Schott; This work is licensed under a Creative Commons
Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales License.
The following APIs should remain stable for front ends:
* maestral.main.Maestral
* maestral.oauth
* maestral.constants
* maestral.daemon
* maestral.errors
* maestral.config.main
* maestral.utils.appdirs
* maestral.utils.backend
* maestral.utils.autostart
"""
__version__ = "0.6.2"
__author__ = "Sam Schott"
__url__ = "https://github.com/SamSchott/maestral"
| [
"[email protected]"
]
| |
9ebb033419f4144ac100bb8f70b5945e77e76bf8 | 94838674ffd175df6194437c1ccc3f90ab409d6c | /pillowV3/log/2018-12-30 15:01:43.443410 | d5834b71bf2619ece82e9e3118f46716eacedcce | []
| no_license | WojciechKoz/MyFirstNeuralNetwork | 4fdb3140d8f02257599d005638598f78055c1ac8 | 3cd032aba80ecd71edb0286724ae9ba565b75a81 | refs/heads/master | 2020-04-02T03:02:48.680433 | 2020-02-29T17:57:43 | 2020-02-29T17:57:43 | 153,943,121 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 372,294 | 443410 | #!/usr/bin/env python3
# -*- coding: utf8 -*-
from __future__ import print_function # new print() on python2
from datetime import datetime
import sys
import numpy as np
from mnist import MNIST
# Display full arrays
np.set_printoptions(threshold=np.inf)
mndata = MNIST('./data')
images_full, labels_full = mndata.load_training()
images = []
labels = []
# dynamic arguments
batch_size = int(sys.argv[1])
size_1 = int(sys.argv[2])
size_2 = int(sys.argv[3])
batch_training_size = int(sys.argv[4])
data_part = 5 # only one fifth of the whole dataset to speed up training
for i in range(len(labels_full) // batch_size // data_part):
images.append(images_full[i*batch_size : (i+1)*batch_size])
labels.append(labels_full[i*batch_size : (i+1)*batch_size])
def sigmoid_prime(x):
return np.exp(-x) / ((np.exp(-x) + 1) ** 2)
def sigmoid(x):
return 1 / (1 + np.exp(-x))
# nowe, przyda się?
def relu(x):
return np.maximum(x, x * 0.01)
def relu_prime(x):
if x >= 0:
return 1
# ej nie jest tak xd
# a jak xd?
type(x) == no.ndarray
# no x to macierz xd
# np.exp jest przeładowane ale jakakoleiwk funkcja to chyba nie
# to co foreach ? :(
# właśnie nie wiem, a co z gpu?
# to miało być szybsze a nie xd
# mamy duzo mozliwosci zmian ale nie na raz trzeba ustalic jakos
# hm TODO gpu TODO wincyj procent TODO gui gotowe
# xd
# tamto myliło hah
# to co najpierw? :p
# ssh daje wglad do basha tylko tak ?
# nie, to jest taki fajny programik, byobu
# i ten pasek na dole też jest z byobu
# on udostepnia tylko basha ?
# tak, ale basha multiplayer xd
# szkoda że 2 kursorow nie ma
# hm
return 0.01 # chyba tak xd nikt nie widzial xd
# ale x to macierz :p
# ale to jest przeciazone i jak jest funkcja od macierzy to bierze po kolei kazdy element
# w sumie
# zobacze na drugiej karcie xd
#X = np.array([[0, 0],
# [0, 1],
# [1, 0],
# [1, 1]])
#X = np.array(images)
y = []
for batch in labels:
y.append([])
for label in batch:
y[-1].append([1.0 if i == label else 0.0 for i in range(10)])
y = np.array(y)
#y = np.array([[0],
# [1],
# [1],
# [0]])
np.random.seed(1)
LEN = len(labels)
SIZES = [ 784, size_1, size_2, 10 ]
syn0 = 2 * np.random.random((SIZES[0], SIZES[1])) - 1
syn1 = 2 * np.random.random((SIZES[1], SIZES[2])) - 1
syn2 = 2 * np.random.random((SIZES[2], SIZES[3])) - 1
# biases for respective layers
b0 = 2 * np.random.random((1, SIZES[1])) - 1
b1 = 2 * np.random.random((1, SIZES[2])) - 1
b2 = 2 * np.random.random((1, SIZES[3])) - 1
for i, batch in list(enumerate(images)):
X = np.array(batch)
print("x:")
print(np.shape(X))
print("======================= BATCH {} =======================".format(i))
error = 1
j = 0
while j < batch_training_size:
l0 = X
l1 = sigmoid(np.dot(l0, syn0) + b0)
l2 = sigmoid(np.dot(l1, syn1) + b1)
l3 = sigmoid(np.dot(l2, syn2) + b2)
l3_error = (y[i] - l3)#** 2
error = np.mean(np.abs(l3_error))
j += 1
if j % 20 == 0:
print(("[%d] error: " % j) + str(error))
l3_delta = l3_error * sigmoid_prime(l3)
l2_error = l3_delta.dot(syn2.T)
l2_delta = l2_error * sigmoid_prime(l2)
l1_error = l2_delta.dot(syn1.T)
l1_delta = l1_error * sigmoid_prime(l1)
syn2 += l2.T.dot(l3_delta)
syn1 += l1.T.dot(l2_delta)
syn0 += l0.T.dot(l1_delta)
b0 += l1_delta.mean(axis=0)
b1 += l2_delta.mean(axis=0)
b2 += l3_delta.mean(axis=0)
def predict(data):
l0 = [data]
l1 = sigmoid(np.dot(l0, syn0) + b0)
l2 = sigmoid(np.dot(l1, syn1) + b1)
l3 = sigmoid(np.dot(l2, syn2) + b2)
return np.argmax(l3)
print("Output after training: ")
print(l3)
for i, el in enumerate(l3):
print(labels[0][i], "=", np.argmax(el), " predictions: ", el)
testing_images, testing_labels = mndata.load_testing()
correct = 0.0
for i, (image, label) in enumerate(zip(testing_images, testing_labels)):
prediction = predict(image)
if label == prediction:
correct += 1.0
correct_rate = correct / (i + 1.0)
print("{} = {} (correct {}%)".format(label, prediction, 100 * correct_rate))
with open('log/' + str(datetime.now()), 'a') as f:
with open(__file__, 'r') as myself:
print(myself.read(), file=f)
print("", file=f)
print("#### answers:", file=f)
print("argv =", sys.argv, file=f)
print("correct_rate =", correct_rate, file=f)
print("SIZES =", SIZES, file=f)
print("syn0 =", syn0, file=f)
print("syn1 =", syn1, file=f)
print("syn2 =", syn2, file=f)
print("b0 =", b0, file=f)
print("b1 =", b1, file=f)
print("b2 =", b2, file=f)
#### answers:
argv = ['./main.py', '110', '27', '26', '13']
correct_rate = 0.1162
SIZES = [784, 27, 26, 10]
syn0 = [[-1.65955991e-01 4.40648987e-01 -9.99771250e-01 -3.95334855e-01
-7.06488218e-01 -8.15322810e-01 -6.27479577e-01 -3.08878546e-01
-2.06465052e-01 7.76334680e-02 -1.61610971e-01 3.70439001e-01
-5.91095501e-01 7.56234873e-01 -9.45224814e-01 3.40935020e-01
-1.65390395e-01 1.17379657e-01 -7.19226123e-01 -6.03797022e-01
6.01489137e-01 9.36523151e-01 -3.73151644e-01 3.84645231e-01
7.52778305e-01 7.89213327e-01 -8.29911577e-01]
[-9.21890434e-01 -6.60339161e-01 7.56285007e-01 -8.03306332e-01
-1.57784750e-01 9.15779060e-01 6.63305699e-02 3.83754228e-01
-3.68968738e-01 3.73001855e-01 6.69251344e-01 -9.63423445e-01
5.00288630e-01 9.77722178e-01 4.96331309e-01 -4.39112016e-01
5.78558657e-01 -7.93547987e-01 -1.04212948e-01 8.17191006e-01
-4.12771703e-01 -4.24449323e-01 -7.39942856e-01 -9.61266084e-01
3.57671066e-01 -5.76743768e-01 -4.68906681e-01]
[-1.68536814e-02 -8.93274910e-01 1.48235211e-01 -7.06542850e-01
1.78611074e-01 3.99516720e-01 -7.95331142e-01 -1.71888024e-01
3.88800315e-01 -1.71641461e-01 -9.00093082e-01 7.17928118e-02
3.27589290e-01 2.97782241e-02 8.89189512e-01 1.73110081e-01
8.06803831e-01 -7.25050592e-01 -7.21447305e-01 6.14782577e-01
-2.04646326e-01 -6.69291606e-01 8.55017161e-01 -3.04468281e-01
5.01624206e-01 4.51995971e-01 7.66612182e-01]
[ 2.47344414e-01 5.01884868e-01 -3.02203316e-01 -4.60144216e-01
7.91772436e-01 -1.43817620e-01 9.29680094e-01 3.26882996e-01
2.43391440e-01 -7.70508054e-01 8.98978517e-01 -1.00175733e-01
1.56779229e-01 -1.83726394e-01 -5.25946040e-01 8.06759041e-01
1.47358973e-01 -9.94259346e-01 2.34289827e-01 -3.46710196e-01
5.41162045e-02 7.71884199e-01 -2.85460480e-01 8.17070302e-01
2.46720232e-01 -9.68357514e-01 8.58874467e-01]
[ 3.81793835e-01 9.94645701e-01 -6.55318983e-01 -7.25728501e-01
8.65190926e-01 3.93636323e-01 -8.67999655e-01 5.10926105e-01
5.07752377e-01 8.46049071e-01 4.23049517e-01 -7.51458076e-01
-9.60239732e-01 -9.47578026e-01 -9.43387024e-01 -5.07577865e-01
7.20055897e-01 7.76621287e-02 1.05643957e-01 6.84061785e-01
-7.51653370e-01 -4.41632642e-01 1.71518543e-01 9.39191497e-01
1.22060439e-01 -9.62705421e-01 6.01265345e-01]
[-5.34051452e-01 6.14210391e-01 -2.24278712e-01 7.27083709e-01
4.94243285e-01 1.12480468e-01 -7.27089549e-01 -8.80164621e-01
-7.57313089e-01 -9.10896243e-01 -7.85011742e-01 -5.48581323e-01
4.25977961e-01 1.19433964e-01 -9.74888040e-01 -8.56051441e-01
9.34552660e-01 1.36200924e-01 -5.93413531e-01 -4.95348511e-01
4.87651708e-01 -6.09141038e-01 1.62717855e-01 9.40039978e-01
6.93657603e-01 -5.20304482e-01 -1.24605715e-02]
[ 2.39911437e-01 6.57961799e-01 -6.86417211e-01 -9.62847596e-01
-8.59955713e-01 -2.73097781e-02 2.12658923e-01 1.37702874e-01
-3.65275181e-01 9.77232309e-01 1.59490438e-01 -2.39717655e-01
1.01896438e-01 4.90668862e-01 3.38465787e-01 -4.70160885e-01
-8.67330331e-01 -2.59831604e-01 2.59435014e-01 -5.79651980e-01
5.05511107e-01 -8.66927037e-01 -4.79369803e-01 6.09509127e-01
-6.13131435e-01 2.78921762e-01 4.93406182e-02]
[ 8.49615941e-01 -4.73406459e-01 -8.68077819e-01 4.70131927e-01
5.44356059e-01 8.15631705e-01 8.63944138e-01 -9.72096854e-01
-5.31275828e-01 2.33556714e-01 8.98032641e-01 9.00352238e-01
1.13306376e-01 8.31212700e-01 2.83132418e-01 -2.19984572e-01
-2.80186658e-02 2.08620966e-01 9.90958430e-02 8.52362853e-01
8.37466871e-01 -2.10248774e-01 9.26525057e-01 -6.52088667e-01
-7.47340961e-01 -7.29841684e-01 1.13243314e-02]
[-9.56950389e-01 8.95940422e-01 6.54230942e-01 -9.69962039e-01
-6.47607489e-01 -3.35872851e-01 -7.38006310e-01 6.18981384e-01
-3.10526695e-01 8.80214965e-01 1.64028360e-01 7.57663969e-01
6.89468891e-01 8.10784637e-01 -8.02394684e-02 9.26936320e-02
5.97207182e-01 -4.28562297e-01 -1.94929548e-02 1.98220615e-01
-9.68933449e-01 1.86962816e-01 -1.32647302e-01 6.14721058e-01
-3.69510394e-01 7.85777417e-01 1.55714431e-01]
[-6.31979597e-01 5.75858468e-01 2.24062354e-01 -8.92181456e-01
-1.59612640e-01 3.58137673e-01 8.37203556e-01 -9.99195950e-01
9.53518298e-01 -2.46839371e-01 9.47567077e-01 2.09432202e-01
6.57691616e-01 1.49423009e-01 2.56152397e-01 -4.28847437e-01
1.73666681e-01 5.00043527e-01 7.16627673e-01 5.10164377e-01
3.96114497e-01 7.28958860e-01 -3.54638006e-01 3.41577582e-01
-9.82521272e-02 -2.35794496e-01 -1.78377300e-01]
[-1.97040833e-01 -3.65232108e-01 2.43838736e-01 -1.39505458e-01
9.47604156e-01 3.55601783e-01 -6.02860223e-01 -1.46597981e-01
-3.13307520e-01 5.95277608e-01 7.59996577e-01 8.07683912e-01
3.25439625e-01 -4.59583476e-01 -4.95266597e-01 7.09795885e-01
5.54292926e-02 6.04322168e-01 1.44977034e-01 4.66285051e-01
3.80232549e-02 5.41767821e-01 1.37715981e-01 -6.85802428e-02
-3.14622184e-01 -8.63581303e-01 -2.44151641e-01]
[-8.40747845e-01 9.65634227e-01 -6.36774297e-01 6.23717395e-01
7.49923290e-01 3.76826505e-01 1.38988825e-01 -6.78057126e-01
-6.62399545e-02 -3.09655898e-01 -5.49920084e-01 1.85023738e-01
-3.75460325e-01 8.32611107e-01 8.19271050e-01 -4.85763412e-01
-7.78217399e-01 -6.14074536e-01 -8.31658642e-04 4.57171336e-01
-5.83611123e-01 -5.03932883e-01 7.03343750e-01 -1.68302563e-01
2.33370134e-01 -5.32667722e-01 -7.96065481e-01]
[ 3.17140339e-02 -4.57180259e-02 -6.94656712e-01 2.43612463e-01
8.80202376e-02 3.08274694e-01 -7.10908920e-01 5.03055634e-01
-5.55901720e-01 3.87036487e-02 5.70592056e-01 -9.55339144e-01
-3.51275081e-01 7.45844753e-01 6.89419215e-01 7.68811852e-02
7.33216548e-01 8.99611983e-01 6.52813995e-01 7.08230888e-01
-8.02513196e-01 3.02608665e-01 4.07033976e-01 2.20481625e-01
5.99230523e-01 -9.30857560e-01 5.40477469e-01]
[ 4.63457201e-01 -4.80603213e-01 -4.85861402e-01 2.64606635e-01
-3.09405077e-01 5.93177356e-01 -1.07707536e-01 5.65498830e-01
9.80943567e-01 -3.99503321e-01 -7.13988343e-01 8.02616873e-01
8.31187578e-02 9.49480742e-01 2.73208800e-01 9.87826049e-01
9.21416083e-02 5.28518678e-02 -7.29144194e-01 -2.88589658e-01
-9.47562865e-01 -6.79209641e-01 4.91274385e-01 -9.39200620e-01
-2.66913806e-01 7.24692506e-01 3.85355435e-01]
[ 3.81884284e-01 -6.22726398e-01 -1.16191439e-01 1.63154815e-01
9.79503415e-01 -5.92187550e-01 -5.04534196e-01 -4.75653832e-01
5.00344827e-01 -8.60493451e-02 -8.86141123e-01 1.70324812e-02
-5.76079671e-01 5.97208490e-01 -4.05337237e-01 -9.44787976e-01
1.86864899e-01 6.87680858e-01 -2.37967752e-01 4.99716621e-01
2.22829566e-02 8.19036099e-02 9.18868642e-01 6.07921783e-01
-9.35353867e-01 4.18774502e-01 -6.99970369e-02]
[ 8.95097883e-01 -5.57134531e-01 -4.65855961e-01 -8.37052070e-01
-1.42762343e-01 -7.81962472e-01 2.67573521e-01 6.05926475e-01
3.93600992e-01 5.32422762e-01 -3.15091760e-01 6.91702966e-01
-1.42462450e-01 6.48019741e-01 2.52992317e-01 -7.13153903e-01
-8.43226200e-01 -9.63334714e-01 -8.66550005e-01 -8.28323726e-02
-7.73316154e-01 -9.44433302e-01 5.09722963e-01 -2.10299039e-01
4.93876991e-01 -9.51903465e-02 -9.98265060e-02]
[-4.38549866e-02 -5.19921469e-02 6.06326684e-01 -1.95214960e-01
8.09372321e-01 -9.25877904e-01 5.47748685e-01 -7.48717238e-01
2.37027134e-01 -9.79271477e-01 7.72545652e-02 -9.93964087e-01
9.02387571e-01 8.10804067e-01 5.91933884e-01 8.30548640e-01
-7.08883538e-01 -6.84539860e-01 -6.24736654e-01 2.44991805e-01
8.11618992e-01 9.79910357e-01 4.22244918e-01 4.63600818e-01
8.18586409e-01 -1.98252535e-01 -5.00298640e-01]
[-6.53139658e-01 -7.61085899e-01 6.25221176e-01 -7.06415253e-01
-4.71405035e-01 6.38178357e-01 -3.78825496e-01 9.64834899e-01
-4.66722596e-01 6.73066899e-02 -3.71065978e-01 8.21545662e-01
-2.66886712e-01 -1.32815345e-01 2.45853846e-02 8.77772955e-01
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1.43487017e+02 1.32718211e+02 1.22285148e+02 -7.13362940e+01
-1.23311743e+02 1.90840045e+02]
[ 1.43267841e+02 8.46906133e+01 -1.07440344e+01 1.76771337e+02
2.23024290e+02 1.52672007e+02 2.54576881e+01 6.51526604e+01
2.62399145e+02 1.90836652e+02 1.73682575e+02 6.08052006e+01
3.78672524e+01 -4.86956714e+01 2.61441951e+02 2.51266634e+02
-7.05369472e+01 2.50307739e+01 1.89909042e+02 9.06795230e+01
1.96665842e+02 2.07490469e+02 1.83637140e+02 -3.92290786e+01
-7.33866490e+01 2.52194759e+02]
[ 1.43424323e+02 8.15670232e+01 -8.74049398e+00 1.80231821e+02
2.24841901e+02 1.54879425e+02 2.72515632e+01 6.75305992e+01
2.63334885e+02 1.90914317e+02 1.73428616e+02 5.78666359e+01
3.72362936e+01 -4.60952120e+01 2.62504265e+02 2.51665487e+02
-6.70264769e+01 2.87246087e+01 1.93459048e+02 9.07617395e+01
1.98096503e+02 2.10963153e+02 1.84864331e+02 -3.73920816e+01
-7.02263141e+01 2.54127779e+02]
[-7.38183025e-01 -2.01787938e+01 -9.72631158e+01 5.83218845e+01
1.06602895e+02 4.11685888e+01 -7.03822616e+01 -4.15908074e+01
1.39102958e+02 3.43418976e+01 5.08158934e+01 -7.39094047e+01
-1.93165896e+01 -1.16487038e+02 1.47455120e+02 1.47247705e+02
-1.44672832e+02 -9.39337872e+01 7.41160208e+01 -3.76019336e+01
8.76093356e+01 7.87408597e+01 6.35543116e+01 -1.02939248e+02
-1.63322917e+02 1.52077674e+02]
[ 1.45957286e+02 8.02582658e+01 -6.36912592e+00 1.83349519e+02
2.25403101e+02 1.56871828e+02 3.14754125e+01 6.92476370e+01
2.62424878e+02 1.91744013e+02 1.74060565e+02 5.42243304e+01
3.79012604e+01 -4.16369974e+01 2.63273036e+02 2.55254709e+02
-6.11234729e+01 3.25091061e+01 1.95297218e+02 8.75196549e+01
2.00211828e+02 2.09891070e+02 1.84649069e+02 -3.09676662e+01
-6.63820535e+01 2.56678724e+02]
[ 1.47108584e+02 7.99624620e+01 -7.75031872e+00 1.84011330e+02
2.25178970e+02 1.57454789e+02 3.00777840e+01 6.99360869e+01
2.61244242e+02 1.90345638e+02 1.74840123e+02 5.47228338e+01
3.89402244e+01 -4.19007788e+01 2.61101308e+02 2.54186033e+02
-6.11818514e+01 3.29637985e+01 1.94367414e+02 8.87266134e+01
1.99151985e+02 2.10670916e+02 1.84675848e+02 -3.00949267e+01
-6.55039761e+01 2.55900838e+02]
[-5.11535743e+00 -3.66379333e+01 -6.80085539e+01 4.07294412e+01
9.01048576e+01 2.69547406e+01 -6.91661678e+01 -4.81184710e+01
1.24996807e+02 2.54095300e+01 4.10862543e+01 -6.07959543e+01
-5.15273878e+01 -9.42082742e+01 1.35843521e+02 1.37944121e+02
-1.19349513e+02 -7.36909979e+01 6.08042163e+01 -3.38492533e+01
7.42228695e+01 6.62908990e+01 4.97301264e+01 -8.41681814e+01
-1.35823206e+02 1.47527613e+02]
[ 2.81313165e+00 1.43287370e+01 -1.37701428e+02 7.10159390e+01
1.16523784e+02 5.08044235e+01 -5.21407670e+01 -1.86395730e+01
1.51867638e+02 4.94657059e+01 5.73600948e+01 -5.91948250e+01
-2.88439881e+01 -1.56906327e+02 1.57571655e+02 1.47914310e+02
-1.89188951e+02 -9.13082909e+01 8.08724581e+01 -1.33156965e+01
9.81498177e+01 8.89874101e+01 7.49317820e+01 -1.42695291e+02
-2.02139290e+02 1.53635243e+02]
[-7.81190309e-01 -8.17326837e+00 -1.10620145e+02 6.73349188e+01
1.10240488e+02 4.74642466e+01 -6.18209764e+01 -3.18178875e+01
1.43137111e+02 3.90042760e+01 5.37407029e+01 -7.72068761e+01
-1.24933058e+01 -1.27249988e+02 1.50782767e+02 1.49029772e+02
-1.57020503e+02 -9.63513818e+01 7.77907551e+01 -3.10264949e+01
9.46851644e+01 8.21609946e+01 6.95513013e+01 -1.12081000e+02
-1.76237886e+02 1.54191295e+02]
[-2.53689007e+00 -2.23069775e+01 -9.80171687e+01 5.97252658e+01
1.06732105e+02 4.11211166e+01 -6.84922541e+01 -4.14445796e+01
1.39800066e+02 3.56641471e+01 5.05746435e+01 -7.50811934e+01
-2.01841482e+01 -1.16380827e+02 1.48305039e+02 1.46904068e+02
-1.45190905e+02 -9.34883193e+01 7.31530781e+01 -3.95228939e+01
8.79975732e+01 7.69328971e+01 6.42294035e+01 -1.02376069e+02
-1.63243857e+02 1.51813855e+02]]
syn2 = [[ 3.31055732e+00 -5.75461091e-01 3.44776579e-01 -4.15983637e+00
2.46883207e-01 4.08205641e+00 7.20419354e-03 -1.96266021e+00
-3.64389969e+00 9.30092128e-01]
[ 5.52997090e+00 -1.51788738e+00 -8.96010915e-01 -9.13042632e+00
-1.23017952e+00 1.31840111e+00 -5.81070281e-01 3.49525641e+00
-7.57683048e+00 4.41356326e-01]
[-9.43893720e+00 -6.00035065e+00 4.40117164e+00 7.72842309e+00
4.32721988e+00 1.53196856e+00 -9.93451447e+00 -1.06370532e+01
6.71706210e+00 1.75177782e+00]
[ 9.63254652e-01 3.32617945e-01 -2.84189480e+00 -6.69275028e-01
-3.16286114e+00 -2.29918365e+00 2.19224577e-01 3.25916221e-01
-1.65544011e+00 -1.50611949e+00]
[-1.36020717e+00 -1.57441472e+00 -2.14959399e+00 6.35090247e-01
-1.40797384e+00 -9.63089955e-01 -8.72888411e-01 -2.14954790e-01
-2.67147019e+00 -1.69855059e-01]
[ 2.76419925e+00 2.77739961e+00 1.51438935e+00 -4.60971809e-02
2.06481418e+00 1.38876337e+00 1.73324085e+00 3.95449659e-01
2.15585105e+00 5.18175780e-01]
[-4.54907910e+00 -3.01188261e+00 -3.02823639e+00 -1.17224100e+01
-1.43793001e+00 -2.34892888e+00 -3.50199820e+00 -2.99546288e+00
-8.30857791e+00 -2.26102741e+00]
[ 1.63258295e+00 -7.28511087e-01 -3.00512368e+00 -1.16473643e+01
-2.51953016e+00 -1.96658268e+00 -1.43522687e-02 -1.43352725e+00
-1.03773131e+01 2.40317489e+00]
[-1.89011617e+00 -3.15372559e+00 -3.02693301e+00 -7.38146763e-01
-3.42370177e+00 -3.99719968e+00 -1.92582043e+00 -6.39984565e-01
-2.47955213e+00 -1.09757864e+00]
[-1.03318375e+00 -3.25137064e+00 -1.59623563e+00 -4.91709263e+00
-3.29951522e+00 2.28948841e+00 -6.87900961e+00 -5.30156497e+00
-5.81078478e+00 -1.15645444e+00]
[ 1.72188443e+00 1.76189212e+00 1.84186981e+00 4.09139804e-01
1.10998606e+00 2.26651958e+00 1.04782628e-01 -8.85871084e-01
6.19866456e-01 5.74128804e-01]
[-1.27074848e-01 -4.93471630e+00 3.11330114e+00 -1.39932335e+01
4.17609212e+00 2.42232775e+00 -9.38598885e+00 -9.57453176e+00
-1.25650098e+01 3.63846707e+00]
[ 1.15312205e+00 -2.76050587e+00 -1.60857817e+01 7.33422616e+00
-1.69501464e+01 -1.50990133e+01 1.53481458e+00 -1.27230797e+00
8.55801469e+00 -7.20428696e+00]
[-8.37132061e+00 -3.33234169e+00 3.90618626e+00 7.77530760e+00
4.67573852e+00 1.52588635e+00 -1.03802072e+01 -8.83121575e+00
8.26196890e+00 6.45632472e-01]
[-3.01491432e+00 -2.55258967e+00 -3.22109228e+00 -1.91054024e+00
-3.48811423e+00 -4.76181346e+00 -5.71805359e-01 3.46763790e-01
-2.61869950e+00 -1.83463640e+00]
[-3.23025791e-01 2.42392981e+00 1.40032073e+00 5.27327569e-01
8.60333715e-01 -4.40147051e+00 3.19493080e+00 1.47537287e+00
3.48892069e+00 -1.65181213e+00]
[-1.12672522e+01 -6.18119712e+00 1.21812076e+00 6.74231345e+00
1.28895634e+00 -1.04079247e+00 -1.15935602e+01 -1.11611323e+01
5.05099778e+00 8.67226451e-01]
[-5.80907469e+00 -3.12262096e+00 2.27445152e+00 -1.15005185e+01
2.15804707e+00 2.36466882e+00 -6.24382596e+00 -7.92954181e+00
-1.04315310e+01 8.14382968e-01]
[ 7.04115540e-01 8.15543318e-01 -3.91320013e-01 2.92507158e-02
4.59162169e-02 4.11845001e-01 1.17446412e+00 -6.18468886e-01
5.86372747e-02 -7.89037491e-02]
[ 2.03223266e+00 -2.65267198e+00 2.47457155e-01 -1.30063540e+01
1.59768139e+00 1.08270253e+00 -2.06685006e+00 -3.67692417e+00
-1.11833523e+01 3.19240802e+00]
[ 2.38330596e+00 1.93437245e+00 1.51437554e+00 1.40284182e+00
2.29264473e+00 1.05446903e+00 2.48720212e+00 8.54374853e-01
3.50996143e+00 4.30591478e-01]
[-1.39766192e+00 -1.99805188e+00 -2.36736649e+00 -2.21615560e+00
-3.14481735e+00 4.69437326e-01 -2.15612003e+00 -2.37622400e+00
-4.92688527e+00 -2.79242686e+00]
[ 7.99394430e-01 3.88523232e-01 7.79488497e-04 -8.01485552e-01
5.15733934e-01 -2.63642861e-01 3.49446284e-01 1.19620059e-01
-3.99842147e-02 -1.35141042e+00]
[-7.63495667e+00 -3.64770447e+00 3.24073303e+00 7.72139945e+00
4.46724295e+00 9.47994745e-01 -8.92204272e+00 -9.26002429e+00
7.66252193e+00 1.28111014e+00]
[-1.35666922e+01 -1.05835327e+01 1.69219795e+00 5.57370662e+00
3.92850168e+00 2.24549373e+00 -1.26465888e+01 -1.28063217e+01
5.25036241e+00 2.31083167e+00]
[-5.02984516e-02 2.84423289e+00 2.19179844e+00 -6.50268689e-01
2.03176361e+00 -2.31571814e+00 3.45538793e+00 6.84116950e-01
3.90571862e+00 -1.11893686e+00]]
b0 = [[-3350.613598 -5928.65923424 -5861.27711318 -3450.84177937
-5912.7053896 -3326.38242121 -3446.21612165 -5907.75184722
-3452.33172483 -5911.04062766 -3535.20467978 -3512.53184125
-3460.83798509 -3454.83284534 -3679.93463257 -3891.18040962
-5931.80474358 -4231.54492682 -5817.7028358 -5865.9541187
-3460.3532473 -5915.27001842 -5909.62367703 -3320.26430818
-3521.44263752 -3505.55492851 -3458.31984711]]
b1 = [[-4.77119154 -2.90355526 -4.17776492 -4.05836564 -4.4002112 -4.26552546
-1.91466955 -3.24847058 -4.14776317 -4.84145177 -4.43040994 -3.86144113
-1.78314784 -3.99306128 -3.81856739 -3.58393816 -4.02438221 -2.82483396
-4.18116351 -3.53828257 -4.27111439 -4.25557682 -4.06073432 -3.92153421
-4.64405556 -3.61958463]]
b2 = [[-0.96464706 -0.79280635 -0.30028434 -0.13330055 0.38295954 0.21051253
-0.59486522 -0.45713052 -0.82603502 -0.59716918]]
| [
"[email protected]"
]
| |
0dfdbb64ae87c90a2faea1081212a757f355b52a | 593132164b6992b8b047cdf43a9d04c59fe607ee | /py_simple/14.直方图/14.4.3绘制图像直方图.py | ea06b99e0fe02ba77074c538cc3d9a4ee1bcd1d6 | [
"Apache-2.0"
]
| permissive | ztfmars/OpenCV_Python_Tutorial | b69b98e5e6b4e31c4f699fdbbaac36db68b8098b | 2c9cf57f469dfec2aca8356f59f7473e5a506988 | refs/heads/main | 2023-02-14T22:40:38.456751 | 2021-01-17T02:18:21 | 2021-01-17T02:18:21 | 329,609,724 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 4 15:14:29 2018
"""
import cv2
import matplotlib.pyplot as plt
o=cv2.imread(r"../image/boatGray.bmp")
histb = cv2.calcHist([o],[0],None,[256],[0,255])
plt.plot(histb,color='r')
plt.show() | [
"[email protected]"
]
| |
fc0b447a2456e32eab54d3280fb6ec002374a543 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/21/usersdata/132/7646/submittedfiles/exercicio24.py | 6f1494ca275e078bdc33c5054fba35ef34694292 | []
| no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | # -*- coding: utf-8 -*-
from __future__ import division
import math
salario=float(input('digite o salario:')
b=salario
imposto=0
if b>3000:
imposto=imposto+((b-1000)*0.35)
b=3000
if base>1000:
imposto=imposto + ((base-1000)*0.2)
print(' salario: %.2f'%(salario, imposto)
| [
"[email protected]"
]
| |
0830399447aa0f121363d3b62bf09941e4d667bb | 6496d7ab505ab1df594d373c0c58206d580302f6 | /exercicio2.py | 63ad04b2a7e4b5da032aad729336883f6191a972 | []
| no_license | alicesilva/P1-Python-Problemas | 7050f323a073ff51c51cd94d451bddfac71bf30b | eade521a3c7f740bb901a6714385d91356a37835 | refs/heads/master | 2020-03-09T21:04:32.211493 | 2018-08-25T19:50:53 | 2018-08-25T19:50:53 | 129,000,364 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 745 | py | #coding: utf-8
numero1 = int(raw_input())
numero2 = int(raw_input())
numero3 = int(raw_input())
if numero1 <= numero2 and numero1 <= numero3 and numero2 < numero3:
print numero1
print numero2
print numero3
elif numero1<numero2 and numero2<numero3 and numero3<numero2:
print numero1
print numero3
print numero2
elif numero1 > numero2 and numero2 < numero3 and numero1 < numero3:
print numero2
print numero1
print numero3
elif numero1 > numero2 and numero2<numero3 and numero3<numero1:
print numero2
print numero3
print numero1
elif numero3<numero1 and numero3<numero2 and numero1<numero2:
print numero3
print numero1
print numero2
else:
print numero3
print numero2
print numero1
print
print numero1
print numero2
print numero3
| [
"[email protected]"
]
| |
3820696ada3ab15a036ddeea0e29c7a9fbd88bae | 83646bb54129da9fae70ec05e943093cc221ad85 | /Interface.py | 56afa59ebd7c4cccc2d1aa017097fa1fc2fb57fe | []
| no_license | Rybak-a87/password_store_gui | 88b6464fbbe5643c63c0a00caee02f937f4007bc | 2a2c771e34b5fda01b2d404b713cc00fa0b35816 | refs/heads/main | 2023-02-06T06:44:10.178644 | 2020-12-25T12:32:10 | 2020-12-25T12:32:10 | 318,624,367 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,632 | py | import tkinter
from BackendJson import BackendJson
from Cipher import Cipher
class Interface:
def __init__(self, window_name):
self.backend = BackendJson("data")
self.cipher = Cipher()
self.root = tkinter.Tk()
self.root.title(window_name)
# self.root.iconbitmap("./ico/icon.ico")
# размер и положение окна (середира экрана)
wx = self.root.winfo_screenwidth()
wy = self.root.winfo_screenheight()
x = int(wx/2 - 600/2)
y = int(wy/2 - 400/2)
self.root.geometry(f"600x400+{x}+{y}")
self.root.resizable(False, False)
# вызов начального фрейма
self.frame_home()
# создание фреймa
def create_frames(self):
return tkinter.Frame(self.root, width=600, height=400)
# главный экран
def frame_home(self):
f_home = self.create_frames()
f_home.place(relx=0.5, rely=0.5, anchor="center")
self.__author(f_home)
welcome_text = "Добро пожаловать!\nДанная программа поможет вам хранить\nи управлять Вашими паролями"
tkinter.Label(f_home, font="Arial 15", text=welcome_text).place(relx=0.5, rely=0.1, anchor="n")
# кнопки
buttons = ["Добавить", "Удалить", "Показать"]
x = 80
y = 300
for btn in buttons:
pressing = lambda but=btn: self.button_logics(but)
tkinter.Button(f_home, text=btn, font="Arial 15", command=pressing,
).place(x=x, y=y, width=110, height=50)
x += 160
# ввод ключа шифрования
tkinter.Label(f_home, font="Arial 10", text="Ключ шифрования",
).place(relx=0.05, rely=0.45, anchor="w")
self.scrypt_key = tkinter.Entry(f_home, font="Arial 10")
self.scrypt_key.place(relx=0.05, rely=0.5, anchor="w", width=480)
tkinter.Button(f_home, font="Arial 7", text="Добавить ключ",
command=lambda but="add_key": self.button_logics(but),
).place(relx=0.855, rely=0.5, anchor="w")
self.use_scrypt_key = tkinter.Label(f_home, font="Arial 7",
text="Используестя ключ по умолчанию")
self.use_scrypt_key.place(relx=0.5, rely=0.53, anchor="n")
# раздел добавления
def frame_add(self):
f_add = self.create_frames()
f_add.place(relx=0.5, rely=0.5, anchor="center")
self.button_back(f_add)
self.__author(f_add)
self.descriptions = {"Ресурс": None, "Ваш логин": None, "Ваш пароль": None}
y = 10
for description in self.descriptions.keys():
tkinter.Label(f_add, font="Arial 15", text=description).place(relx=0.5, y=y, anchor="n")
self.descriptions[description] = tkinter.Entry(f_add, font="Arial 15", width=30,
)
self.descriptions[description].place(relx=0.5, y=y + 30, anchor="n")
y += 100
tkinter.Button(f_add, command=lambda but="add_data": self.button_logics(but),
text="Сохранить", font="Arial 16", width=20,).place(relx=0.5, rely=0.8, anchor="n")
# раздел удаления
def frame_del(self):
f_del = self.create_frames()
f_del.place(relx=0.5, rely=0.5, anchor="center")
self.button_back(f_del)
self.__author(f_del)
self.temp_f_frame = f_del
self.del_list = tkinter.Listbox(f_del, font="Arial 10", selectmode=tkinter.MULTIPLE, bd=1)
tkinter.Button(f_del, command=lambda but="del_data": self.button_logics(but),
font="Arial 15", text="Удалить").place(relx=0.5, rely=0.85, anchor="n")
# работа со списком
self.data = self.backend.read_file()
for atr in self.data:
self.del_list.insert(tkinter.END, f"{self.cipher.decipher(atr)}")
self.del_list.place(relx=0.5, y=3, anchor="n", width=444, height=330)
# раздел просмотра
def frame_view(self):
f_view = self.create_frames()
f_view.place(relx=0.5, rely=0.5, anchor="center")
self.button_back(f_view)
self.__author(f_view)
self.info = tkinter.Text(f_view, font="Arial 10")
# работа со списком
data = self.backend.read_file()
for k, v in data.items():
out = f"{4*' '}{self.cipher.decipher(k)}\n" \
f"\tLogin: {self.cipher.decipher(v['login'])}\n" \
f"\tPassword: {self.cipher.decipher(v['password'])}\n" \
f"{110*'-'}"
self.info.insert(tkinter.END, out)
self.info.place(relx=0.5, y=3, anchor="n", width=446, height=380)
# логика нажатий на кнопки
def button_logics(self, pressing):
if pressing == "Добавить":
self.frame_add()
elif pressing == "Удалить":
self.frame_del()
elif pressing == "Показать":
self.frame_view()
elif pressing == "add_data":
self.add()
elif pressing == "del_data":
self.dell()
elif pressing == "add_key":
self.add_scrypt_key()
# Кнопка добавить
def add(self):
resource = self.cipher.encipher(self.descriptions["Ресурс"].get())
login = self.cipher.encipher(self.descriptions["Ваш логин"].get())
password = self.cipher.encipher(self.descriptions["Ваш пароль"].get())
if resource and login and password:
# очистить поля
self.descriptions["Ресурс"].delete(0, tkinter.END)
self.descriptions["Ваш логин"].delete(0, tkinter.END)
self.descriptions["Ваш пароль"].delete(0, tkinter.END)
# добавление данных в память
self.backend.add_to_file(resource, login, password)
# кнопка удалить
def dell(self):
if self.data:
need_del = [self.cipher.encipher(i) for i in self.del_list.selection_get().split("\n")]
self.backend.del_from_file(need_del)
# перезапуск фрейма
self.temp_f_frame.destroy()
self.frame_del()
# кнопка добавить клюс шифрования
def add_scrypt_key(self):
key = self.scrypt_key.get()
if key:
self.cipher.scrypt_key_set(key.lower())
self.use_scrypt_key["text"] = f"Используется ключ: {key}"
else:
self.cipher.scrypt_key_default()
self.use_scrypt_key["text"] = "Используестя ключ по умолчанию"
# кнопка "назад"
def button_back(self, frame):
tkinter.Button(frame, text="< Назад", font="Arial 8", command=lambda: frame.destroy(),
).place(x=3, y=3, anchor="nw")
# запуск окна
def start(self):
self.root.mainloop()
# автор "водяной знак"
def __author(self, root):
my_name = "Programm by Rybak A."
tkinter.Label(root, font="Tahoma 7", text=my_name, fg="Blue"
).place(relx=1, rely=1, anchor="se")
| [
"[email protected]"
]
| |
8635e077edd2b79d936a964c7c40929515a6af46 | 2b398353f5b0529ac666ef180e9dc966474a70c0 | /vspk/v5_0/nudeploymentfailure.py | 99706036d430b1c60d8f3ed6caf380e2699e5a7f | [
"BSD-3-Clause"
]
| permissive | nuagenetworks/vspk-python | e0c4570be81da2a4d8946299cb44eaf9559e0170 | 9a44d3015aa6424d0154c8c8a42297669cce11f9 | refs/heads/master | 2023-06-01T01:12:47.011489 | 2023-05-12T19:48:52 | 2023-05-12T19:48:52 | 53,171,411 | 21 | 18 | BSD-3-Clause | 2020-12-16T12:36:58 | 2016-03-04T23:10:58 | Python | UTF-8 | Python | false | false | 18,334 | py | # -*- coding: utf-8 -*-
#
# Copyright (c) 2015, Alcatel-Lucent Inc, 2017 Nokia
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of the copyright holder nor the names of its contributors
# may be used to endorse or promote products derived from this software without
# specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from .fetchers import NUMetadatasFetcher
from .fetchers import NUGlobalMetadatasFetcher
from bambou import NURESTObject
class NUDeploymentFailure(NURESTObject):
""" Represents a DeploymentFailure in the VSD
Notes:
A deployment failure represents a deployment operation initiated by the VSD that resulted in a failure.
"""
__rest_name__ = "deploymentfailure"
__resource_name__ = "deploymentfailures"
## Constants
CONST_EVENT_TYPE_DELETE = "DELETE"
CONST_ENTITY_SCOPE_GLOBAL = "GLOBAL"
CONST_EVENT_TYPE_CREATE = "CREATE"
CONST_EVENT_TYPE_UPDATE = "UPDATE"
CONST_ENTITY_SCOPE_ENTERPRISE = "ENTERPRISE"
def __init__(self, **kwargs):
""" Initializes a DeploymentFailure instance
Notes:
You can specify all parameters while calling this methods.
A special argument named `data` will enable you to load the
object from a Python dictionary
Examples:
>>> deploymentfailure = NUDeploymentFailure(id=u'xxxx-xxx-xxx-xxx', name=u'DeploymentFailure')
>>> deploymentfailure = NUDeploymentFailure(data=my_dict)
"""
super(NUDeploymentFailure, self).__init__()
# Read/Write Attributes
self._last_failure_reason = None
self._last_known_error = None
self._last_updated_by = None
self._affected_entity_id = None
self._affected_entity_type = None
self._diff_map = None
self._entity_scope = None
self._error_condition = None
self._assoc_entity_id = None
self._assoc_entity_type = None
self._associated_domain_id = None
self._associated_domain_type = None
self._associated_network_entity_id = None
self._associated_network_entity_type = None
self._number_of_occurences = None
self._event_type = None
self._external_id = None
self.expose_attribute(local_name="last_failure_reason", remote_name="lastFailureReason", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="last_known_error", remote_name="lastKnownError", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="last_updated_by", remote_name="lastUpdatedBy", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="affected_entity_id", remote_name="affectedEntityID", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="affected_entity_type", remote_name="affectedEntityType", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="diff_map", remote_name="diffMap", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="entity_scope", remote_name="entityScope", attribute_type=str, is_required=False, is_unique=False, choices=[u'ENTERPRISE', u'GLOBAL'])
self.expose_attribute(local_name="error_condition", remote_name="errorCondition", attribute_type=int, is_required=False, is_unique=False)
self.expose_attribute(local_name="assoc_entity_id", remote_name="assocEntityId", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="assoc_entity_type", remote_name="assocEntityType", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="associated_domain_id", remote_name="associatedDomainID", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="associated_domain_type", remote_name="associatedDomainType", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="associated_network_entity_id", remote_name="associatedNetworkEntityID", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="associated_network_entity_type", remote_name="associatedNetworkEntityType", attribute_type=str, is_required=False, is_unique=False)
self.expose_attribute(local_name="number_of_occurences", remote_name="numberOfOccurences", attribute_type=int, is_required=False, is_unique=False)
self.expose_attribute(local_name="event_type", remote_name="eventType", attribute_type=str, is_required=False, is_unique=False, choices=[u'CREATE', u'DELETE', u'UPDATE'])
self.expose_attribute(local_name="external_id", remote_name="externalID", attribute_type=str, is_required=False, is_unique=True)
# Fetchers
self.metadatas = NUMetadatasFetcher.fetcher_with_object(parent_object=self, relationship="child")
self.global_metadatas = NUGlobalMetadatasFetcher.fetcher_with_object(parent_object=self, relationship="child")
self._compute_args(**kwargs)
# Properties
@property
def last_failure_reason(self):
""" Get last_failure_reason value.
Notes:
A detailed description of the last deployment failure.
This attribute is named `lastFailureReason` in VSD API.
"""
return self._last_failure_reason
@last_failure_reason.setter
def last_failure_reason(self, value):
""" Set last_failure_reason value.
Notes:
A detailed description of the last deployment failure.
This attribute is named `lastFailureReason` in VSD API.
"""
self._last_failure_reason = value
@property
def last_known_error(self):
""" Get last_known_error value.
Notes:
A string reporting the last reported deployment error condition.
This attribute is named `lastKnownError` in VSD API.
"""
return self._last_known_error
@last_known_error.setter
def last_known_error(self, value):
""" Set last_known_error value.
Notes:
A string reporting the last reported deployment error condition.
This attribute is named `lastKnownError` in VSD API.
"""
self._last_known_error = value
@property
def last_updated_by(self):
""" Get last_updated_by value.
Notes:
ID of the user who last updated the object.
This attribute is named `lastUpdatedBy` in VSD API.
"""
return self._last_updated_by
@last_updated_by.setter
def last_updated_by(self, value):
""" Set last_updated_by value.
Notes:
ID of the user who last updated the object.
This attribute is named `lastUpdatedBy` in VSD API.
"""
self._last_updated_by = value
@property
def affected_entity_id(self):
""" Get affected_entity_id value.
Notes:
UUID of the entity on which deployment failed.
This attribute is named `affectedEntityID` in VSD API.
"""
return self._affected_entity_id
@affected_entity_id.setter
def affected_entity_id(self, value):
""" Set affected_entity_id value.
Notes:
UUID of the entity on which deployment failed.
This attribute is named `affectedEntityID` in VSD API.
"""
self._affected_entity_id = value
@property
def affected_entity_type(self):
""" Get affected_entity_type value.
Notes:
Managed object type corresponding to the entity on which deployment failed.
This attribute is named `affectedEntityType` in VSD API.
"""
return self._affected_entity_type
@affected_entity_type.setter
def affected_entity_type(self, value):
""" Set affected_entity_type value.
Notes:
Managed object type corresponding to the entity on which deployment failed.
This attribute is named `affectedEntityType` in VSD API.
"""
self._affected_entity_type = value
@property
def diff_map(self):
""" Get diff_map value.
Notes:
Object difference in json format.
This attribute is named `diffMap` in VSD API.
"""
return self._diff_map
@diff_map.setter
def diff_map(self, value):
""" Set diff_map value.
Notes:
Object difference in json format.
This attribute is named `diffMap` in VSD API.
"""
self._diff_map = value
@property
def entity_scope(self):
""" Get entity_scope value.
Notes:
Specify if scope of entity is Data center or Enterprise level
This attribute is named `entityScope` in VSD API.
"""
return self._entity_scope
@entity_scope.setter
def entity_scope(self, value):
""" Set entity_scope value.
Notes:
Specify if scope of entity is Data center or Enterprise level
This attribute is named `entityScope` in VSD API.
"""
self._entity_scope = value
@property
def error_condition(self):
""" Get error_condition value.
Notes:
A numerical code mapping to the deployment error condition.
This attribute is named `errorCondition` in VSD API.
"""
return self._error_condition
@error_condition.setter
def error_condition(self, value):
""" Set error_condition value.
Notes:
A numerical code mapping to the deployment error condition.
This attribute is named `errorCondition` in VSD API.
"""
self._error_condition = value
@property
def assoc_entity_id(self):
""" Get assoc_entity_id value.
Notes:
ID of the parent entity
This attribute is named `assocEntityId` in VSD API.
"""
return self._assoc_entity_id
@assoc_entity_id.setter
def assoc_entity_id(self, value):
""" Set assoc_entity_id value.
Notes:
ID of the parent entity
This attribute is named `assocEntityId` in VSD API.
"""
self._assoc_entity_id = value
@property
def assoc_entity_type(self):
""" Get assoc_entity_type value.
Notes:
Type of parent entity.
This attribute is named `assocEntityType` in VSD API.
"""
return self._assoc_entity_type
@assoc_entity_type.setter
def assoc_entity_type(self, value):
""" Set assoc_entity_type value.
Notes:
Type of parent entity.
This attribute is named `assocEntityType` in VSD API.
"""
self._assoc_entity_type = value
@property
def associated_domain_id(self):
""" Get associated_domain_id value.
Notes:
ID of the associated Domain.
This attribute is named `associatedDomainID` in VSD API.
"""
return self._associated_domain_id
@associated_domain_id.setter
def associated_domain_id(self, value):
""" Set associated_domain_id value.
Notes:
ID of the associated Domain.
This attribute is named `associatedDomainID` in VSD API.
"""
self._associated_domain_id = value
@property
def associated_domain_type(self):
""" Get associated_domain_type value.
Notes:
Type of the associated Domain
This attribute is named `associatedDomainType` in VSD API.
"""
return self._associated_domain_type
@associated_domain_type.setter
def associated_domain_type(self, value):
""" Set associated_domain_type value.
Notes:
Type of the associated Domain
This attribute is named `associatedDomainType` in VSD API.
"""
self._associated_domain_type = value
@property
def associated_network_entity_id(self):
""" Get associated_network_entity_id value.
Notes:
ID of associated Network entity.
This attribute is named `associatedNetworkEntityID` in VSD API.
"""
return self._associated_network_entity_id
@associated_network_entity_id.setter
def associated_network_entity_id(self, value):
""" Set associated_network_entity_id value.
Notes:
ID of associated Network entity.
This attribute is named `associatedNetworkEntityID` in VSD API.
"""
self._associated_network_entity_id = value
@property
def associated_network_entity_type(self):
""" Get associated_network_entity_type value.
Notes:
Type of associated Network Entity. i.e Domain, Subnet, L2domain
This attribute is named `associatedNetworkEntityType` in VSD API.
"""
return self._associated_network_entity_type
@associated_network_entity_type.setter
def associated_network_entity_type(self, value):
""" Set associated_network_entity_type value.
Notes:
Type of associated Network Entity. i.e Domain, Subnet, L2domain
This attribute is named `associatedNetworkEntityType` in VSD API.
"""
self._associated_network_entity_type = value
@property
def number_of_occurences(self):
""" Get number_of_occurences value.
Notes:
A count of failed deployment attempts.
This attribute is named `numberOfOccurences` in VSD API.
"""
return self._number_of_occurences
@number_of_occurences.setter
def number_of_occurences(self, value):
""" Set number_of_occurences value.
Notes:
A count of failed deployment attempts.
This attribute is named `numberOfOccurences` in VSD API.
"""
self._number_of_occurences = value
@property
def event_type(self):
""" Get event_type value.
Notes:
Event type corresponding to the deployment failure
This attribute is named `eventType` in VSD API.
"""
return self._event_type
@event_type.setter
def event_type(self, value):
""" Set event_type value.
Notes:
Event type corresponding to the deployment failure
This attribute is named `eventType` in VSD API.
"""
self._event_type = value
@property
def external_id(self):
""" Get external_id value.
Notes:
External object ID. Used for integration with third party systems
This attribute is named `externalID` in VSD API.
"""
return self._external_id
@external_id.setter
def external_id(self, value):
""" Set external_id value.
Notes:
External object ID. Used for integration with third party systems
This attribute is named `externalID` in VSD API.
"""
self._external_id = value
| [
"[email protected]"
]
| |
c6765eaf33799a801f779c51db8d8eb557e22897 | 82b946da326148a3c1c1f687f96c0da165bb2c15 | /sdk/python/pulumi_azure_native/certificateregistration/v20190801/get_app_service_certificate_order.py | a03845a380da747da89259d9a54823779763bfe4 | [
"BSD-3-Clause",
"Apache-2.0"
]
| permissive | morrell/pulumi-azure-native | 3916e978382366607f3df0a669f24cb16293ff5e | cd3ba4b9cb08c5e1df7674c1c71695b80e443f08 | refs/heads/master | 2023-06-20T19:37:05.414924 | 2021-07-19T20:57:53 | 2021-07-19T20:57:53 | 387,815,163 | 0 | 0 | Apache-2.0 | 2021-07-20T14:18:29 | 2021-07-20T14:18:28 | null | UTF-8 | Python | false | false | 15,279 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
__all__ = [
'GetAppServiceCertificateOrderResult',
'AwaitableGetAppServiceCertificateOrderResult',
'get_app_service_certificate_order',
]
@pulumi.output_type
class GetAppServiceCertificateOrderResult:
"""
SSL certificate purchase order.
"""
def __init__(__self__, app_service_certificate_not_renewable_reasons=None, auto_renew=None, certificates=None, csr=None, distinguished_name=None, domain_verification_token=None, expiration_time=None, id=None, intermediate=None, is_private_key_external=None, key_size=None, kind=None, last_certificate_issuance_time=None, location=None, name=None, next_auto_renewal_time_stamp=None, product_type=None, provisioning_state=None, root=None, serial_number=None, signed_certificate=None, status=None, tags=None, type=None, validity_in_years=None):
if app_service_certificate_not_renewable_reasons and not isinstance(app_service_certificate_not_renewable_reasons, list):
raise TypeError("Expected argument 'app_service_certificate_not_renewable_reasons' to be a list")
pulumi.set(__self__, "app_service_certificate_not_renewable_reasons", app_service_certificate_not_renewable_reasons)
if auto_renew and not isinstance(auto_renew, bool):
raise TypeError("Expected argument 'auto_renew' to be a bool")
pulumi.set(__self__, "auto_renew", auto_renew)
if certificates and not isinstance(certificates, dict):
raise TypeError("Expected argument 'certificates' to be a dict")
pulumi.set(__self__, "certificates", certificates)
if csr and not isinstance(csr, str):
raise TypeError("Expected argument 'csr' to be a str")
pulumi.set(__self__, "csr", csr)
if distinguished_name and not isinstance(distinguished_name, str):
raise TypeError("Expected argument 'distinguished_name' to be a str")
pulumi.set(__self__, "distinguished_name", distinguished_name)
if domain_verification_token and not isinstance(domain_verification_token, str):
raise TypeError("Expected argument 'domain_verification_token' to be a str")
pulumi.set(__self__, "domain_verification_token", domain_verification_token)
if expiration_time and not isinstance(expiration_time, str):
raise TypeError("Expected argument 'expiration_time' to be a str")
pulumi.set(__self__, "expiration_time", expiration_time)
if id and not isinstance(id, str):
raise TypeError("Expected argument 'id' to be a str")
pulumi.set(__self__, "id", id)
if intermediate and not isinstance(intermediate, dict):
raise TypeError("Expected argument 'intermediate' to be a dict")
pulumi.set(__self__, "intermediate", intermediate)
if is_private_key_external and not isinstance(is_private_key_external, bool):
raise TypeError("Expected argument 'is_private_key_external' to be a bool")
pulumi.set(__self__, "is_private_key_external", is_private_key_external)
if key_size and not isinstance(key_size, int):
raise TypeError("Expected argument 'key_size' to be a int")
pulumi.set(__self__, "key_size", key_size)
if kind and not isinstance(kind, str):
raise TypeError("Expected argument 'kind' to be a str")
pulumi.set(__self__, "kind", kind)
if last_certificate_issuance_time and not isinstance(last_certificate_issuance_time, str):
raise TypeError("Expected argument 'last_certificate_issuance_time' to be a str")
pulumi.set(__self__, "last_certificate_issuance_time", last_certificate_issuance_time)
if location and not isinstance(location, str):
raise TypeError("Expected argument 'location' to be a str")
pulumi.set(__self__, "location", location)
if name and not isinstance(name, str):
raise TypeError("Expected argument 'name' to be a str")
pulumi.set(__self__, "name", name)
if next_auto_renewal_time_stamp and not isinstance(next_auto_renewal_time_stamp, str):
raise TypeError("Expected argument 'next_auto_renewal_time_stamp' to be a str")
pulumi.set(__self__, "next_auto_renewal_time_stamp", next_auto_renewal_time_stamp)
if product_type and not isinstance(product_type, str):
raise TypeError("Expected argument 'product_type' to be a str")
pulumi.set(__self__, "product_type", product_type)
if provisioning_state and not isinstance(provisioning_state, str):
raise TypeError("Expected argument 'provisioning_state' to be a str")
pulumi.set(__self__, "provisioning_state", provisioning_state)
if root and not isinstance(root, dict):
raise TypeError("Expected argument 'root' to be a dict")
pulumi.set(__self__, "root", root)
if serial_number and not isinstance(serial_number, str):
raise TypeError("Expected argument 'serial_number' to be a str")
pulumi.set(__self__, "serial_number", serial_number)
if signed_certificate and not isinstance(signed_certificate, dict):
raise TypeError("Expected argument 'signed_certificate' to be a dict")
pulumi.set(__self__, "signed_certificate", signed_certificate)
if status and not isinstance(status, str):
raise TypeError("Expected argument 'status' to be a str")
pulumi.set(__self__, "status", status)
if tags and not isinstance(tags, dict):
raise TypeError("Expected argument 'tags' to be a dict")
pulumi.set(__self__, "tags", tags)
if type and not isinstance(type, str):
raise TypeError("Expected argument 'type' to be a str")
pulumi.set(__self__, "type", type)
if validity_in_years and not isinstance(validity_in_years, int):
raise TypeError("Expected argument 'validity_in_years' to be a int")
pulumi.set(__self__, "validity_in_years", validity_in_years)
@property
@pulumi.getter(name="appServiceCertificateNotRenewableReasons")
def app_service_certificate_not_renewable_reasons(self) -> Sequence[str]:
"""
Reasons why App Service Certificate is not renewable at the current moment.
"""
return pulumi.get(self, "app_service_certificate_not_renewable_reasons")
@property
@pulumi.getter(name="autoRenew")
def auto_renew(self) -> Optional[bool]:
"""
<code>true</code> if the certificate should be automatically renewed when it expires; otherwise, <code>false</code>.
"""
return pulumi.get(self, "auto_renew")
@property
@pulumi.getter
def certificates(self) -> Optional[Mapping[str, 'outputs.AppServiceCertificateResponse']]:
"""
State of the Key Vault secret.
"""
return pulumi.get(self, "certificates")
@property
@pulumi.getter
def csr(self) -> Optional[str]:
"""
Last CSR that was created for this order.
"""
return pulumi.get(self, "csr")
@property
@pulumi.getter(name="distinguishedName")
def distinguished_name(self) -> Optional[str]:
"""
Certificate distinguished name.
"""
return pulumi.get(self, "distinguished_name")
@property
@pulumi.getter(name="domainVerificationToken")
def domain_verification_token(self) -> str:
"""
Domain verification token.
"""
return pulumi.get(self, "domain_verification_token")
@property
@pulumi.getter(name="expirationTime")
def expiration_time(self) -> str:
"""
Certificate expiration time.
"""
return pulumi.get(self, "expiration_time")
@property
@pulumi.getter
def id(self) -> str:
"""
Resource Id.
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def intermediate(self) -> 'outputs.CertificateDetailsResponse':
"""
Intermediate certificate.
"""
return pulumi.get(self, "intermediate")
@property
@pulumi.getter(name="isPrivateKeyExternal")
def is_private_key_external(self) -> bool:
"""
<code>true</code> if private key is external; otherwise, <code>false</code>.
"""
return pulumi.get(self, "is_private_key_external")
@property
@pulumi.getter(name="keySize")
def key_size(self) -> Optional[int]:
"""
Certificate key size.
"""
return pulumi.get(self, "key_size")
@property
@pulumi.getter
def kind(self) -> Optional[str]:
"""
Kind of resource.
"""
return pulumi.get(self, "kind")
@property
@pulumi.getter(name="lastCertificateIssuanceTime")
def last_certificate_issuance_time(self) -> str:
"""
Certificate last issuance time.
"""
return pulumi.get(self, "last_certificate_issuance_time")
@property
@pulumi.getter
def location(self) -> str:
"""
Resource Location.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter
def name(self) -> str:
"""
Resource Name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="nextAutoRenewalTimeStamp")
def next_auto_renewal_time_stamp(self) -> str:
"""
Time stamp when the certificate would be auto renewed next
"""
return pulumi.get(self, "next_auto_renewal_time_stamp")
@property
@pulumi.getter(name="productType")
def product_type(self) -> str:
"""
Certificate product type.
"""
return pulumi.get(self, "product_type")
@property
@pulumi.getter(name="provisioningState")
def provisioning_state(self) -> str:
"""
Status of certificate order.
"""
return pulumi.get(self, "provisioning_state")
@property
@pulumi.getter
def root(self) -> 'outputs.CertificateDetailsResponse':
"""
Root certificate.
"""
return pulumi.get(self, "root")
@property
@pulumi.getter(name="serialNumber")
def serial_number(self) -> str:
"""
Current serial number of the certificate.
"""
return pulumi.get(self, "serial_number")
@property
@pulumi.getter(name="signedCertificate")
def signed_certificate(self) -> 'outputs.CertificateDetailsResponse':
"""
Signed certificate.
"""
return pulumi.get(self, "signed_certificate")
@property
@pulumi.getter
def status(self) -> str:
"""
Current order status.
"""
return pulumi.get(self, "status")
@property
@pulumi.getter
def tags(self) -> Optional[Mapping[str, str]]:
"""
Resource tags.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter
def type(self) -> str:
"""
Resource type.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter(name="validityInYears")
def validity_in_years(self) -> Optional[int]:
"""
Duration in years (must be between 1 and 3).
"""
return pulumi.get(self, "validity_in_years")
class AwaitableGetAppServiceCertificateOrderResult(GetAppServiceCertificateOrderResult):
# pylint: disable=using-constant-test
def __await__(self):
if False:
yield self
return GetAppServiceCertificateOrderResult(
app_service_certificate_not_renewable_reasons=self.app_service_certificate_not_renewable_reasons,
auto_renew=self.auto_renew,
certificates=self.certificates,
csr=self.csr,
distinguished_name=self.distinguished_name,
domain_verification_token=self.domain_verification_token,
expiration_time=self.expiration_time,
id=self.id,
intermediate=self.intermediate,
is_private_key_external=self.is_private_key_external,
key_size=self.key_size,
kind=self.kind,
last_certificate_issuance_time=self.last_certificate_issuance_time,
location=self.location,
name=self.name,
next_auto_renewal_time_stamp=self.next_auto_renewal_time_stamp,
product_type=self.product_type,
provisioning_state=self.provisioning_state,
root=self.root,
serial_number=self.serial_number,
signed_certificate=self.signed_certificate,
status=self.status,
tags=self.tags,
type=self.type,
validity_in_years=self.validity_in_years)
def get_app_service_certificate_order(certificate_order_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetAppServiceCertificateOrderResult:
"""
SSL certificate purchase order.
:param str certificate_order_name: Name of the certificate order..
:param str resource_group_name: Name of the resource group to which the resource belongs.
"""
__args__ = dict()
__args__['certificateOrderName'] = certificate_order_name
__args__['resourceGroupName'] = resource_group_name
if opts is None:
opts = pulumi.InvokeOptions()
if opts.version is None:
opts.version = _utilities.get_version()
__ret__ = pulumi.runtime.invoke('azure-native:certificateregistration/v20190801:getAppServiceCertificateOrder', __args__, opts=opts, typ=GetAppServiceCertificateOrderResult).value
return AwaitableGetAppServiceCertificateOrderResult(
app_service_certificate_not_renewable_reasons=__ret__.app_service_certificate_not_renewable_reasons,
auto_renew=__ret__.auto_renew,
certificates=__ret__.certificates,
csr=__ret__.csr,
distinguished_name=__ret__.distinguished_name,
domain_verification_token=__ret__.domain_verification_token,
expiration_time=__ret__.expiration_time,
id=__ret__.id,
intermediate=__ret__.intermediate,
is_private_key_external=__ret__.is_private_key_external,
key_size=__ret__.key_size,
kind=__ret__.kind,
last_certificate_issuance_time=__ret__.last_certificate_issuance_time,
location=__ret__.location,
name=__ret__.name,
next_auto_renewal_time_stamp=__ret__.next_auto_renewal_time_stamp,
product_type=__ret__.product_type,
provisioning_state=__ret__.provisioning_state,
root=__ret__.root,
serial_number=__ret__.serial_number,
signed_certificate=__ret__.signed_certificate,
status=__ret__.status,
tags=__ret__.tags,
type=__ret__.type,
validity_in_years=__ret__.validity_in_years)
| [
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]
| |
6d61f46d1ce445b4126a332ddd0961ed016516be | e3e7e069b1b66c5d63319a23a2201a38171df23f | /dataUpdate/util/ts_util.py | 590eb20c1be54ba8a6958b00f1cae028f8c95ba1 | []
| no_license | webclinic017/backtrader_learning | b6ba1199ac31b5bbad0ce7abe7e4fca912cb9c8a | dfa5202a99af96273d49a4e92412c3b0d3c724a7 | refs/heads/main | 2023-08-18T17:44:20.751035 | 2021-10-09T08:43:29 | 2021-10-09T08:43:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 562 | py | import tushare as ts
token = 'e554b98ac431b1146b1db6bcb89dde62837fd87fb4c31aca54ff249f'
pro = ts.pro_api(token=token)
def getStockBasicInfo():
'''
获取stock的基础信息
:return:
'''
data = pro.query('stock_basic', exchange='', list_status='L',
fields='ts_code,symbol,name,area,industry,market,list_date')
return data
def nameConvert(ts_name):
'''
:param ts_name: 000001.SZ
:return:0000001.sz
'''
code,market = ts_name.split('.')
market = str.lower(market)
return market+'.'+code | [
"[email protected]"
]
| |
3a204339dd77109d1f6901ef336b30dc4e400fea | 8fa003141ed3a01e5aa55369d63c332f43110c5b | /test/fx2trt/converters/acc_op/test_min.py | 2f19a72cf9753885e1e7a766851f211477aa7e28 | [
"BSD-3-Clause",
"BSD-2-Clause",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0"
]
| permissive | EshikaShah/pytorch | aec1e648fbcc32f2af5b59500e3986df3cfa4d9e | 8734eed829b0a14b819b97982222e3f494db01d1 | refs/heads/master | 2023-08-18T19:37:54.722565 | 2021-10-18T18:04:03 | 2021-10-18T18:04:03 | 414,952,363 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,426 | py | import torch
import torch.fx.experimental.fx_acc.acc_ops as acc_ops
from caffe2.torch.fb.fx2trt.tests.test_utils import AccTestCase
from parameterized import parameterized
class TestMinConverter(AccTestCase):
@parameterized.expand(
[
("dim0_keepdim", 0, True, torch.randn(2, 2, 3)),
("dim1_keepdim", 1, True, torch.randn(2, 2, 3)),
("dim2_keepdim", 2, True, torch.randn(2, 2, 3)),
("dim3_keepdim", 3, True, torch.randn(2, 2, 3, 3)),
("dim2_no_keepdim", 2, False, torch.randn(2, 2, 3)),
("dim1_no_keepdim", 1, False, torch.randn(2, 2, 3)),
("dim0_no_keepdim", 0, False, torch.randn(2, 2, 3)),
]
)
def test_min_dim_reduce(self, test_name, dim, keepdim, input):
class MinDimReduce(torch.nn.Module):
def __init__(self, dim, keepdim):
super().__init__()
self.dim = dim
self.keepdim = keepdim
def forward(self, x):
return torch.min(x, self.dim, self.keepdim)
inputs = [input]
self.run_test(
MinDimReduce(dim, keepdim),
inputs,
expected_ops={acc_ops.min_dim_reduce},
test_implicit_batch_dim=(dim != 0),
)
@parameterized.expand(
[
("no_dim_no_keepdim"),
]
)
def test_min_full_reduce(
self,
test_name,
):
class MinFullReduce(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
return torch.min(x)
inputs = [torch.randn(3, 2, 3, 3)]
self.run_test(
MinFullReduce(),
inputs,
expected_ops={acc_ops.min_full_reduce},
# We can't do a full reduce over the batch dimension
test_implicit_batch_dim=False,
)
@parameterized.expand(
[
("min_method_no_dim_no_keepdim"),
("min_method_no_dim_no_keepdim"),
]
)
def test_min_method(self, test_name):
class MinMethod(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, input, other):
return input.min(other)
inputs = [torch.randn(3, 4), torch.randn(3, 4)]
self.run_test(MinMethod(), inputs, expected_ops={acc_ops.minimum})
| [
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]
| |
4adb2fcf27d222cf31a55b5486f751060deec10d | 54a26bf56aebd604d4dece733f08d7d30cd27f89 | /zdemo/aclassview/views.py | 071bb0719b01a7d382ba98131db3b8a1ebd7040c | [
"MIT"
]
| permissive | zzZaida/django_27 | b78f5ae8bccfa11074221ba32241878d703aa535 | bbbba8be9547fb815c68e94fadb7e8b6eebf75c9 | refs/heads/master | 2020-07-03T19:47:25.037195 | 2019-08-13T12:11:29 | 2019-08-13T12:11:29 | 202,030,146 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,410 | py | from django.http import HttpResponse
from django.shortcuts import render
from django.utils.decorators import method_decorator # utils --> 工具类
from django.views import View
# 定义装饰器
def my_decorator(func):
def wrapper(request, **kwargs):
print('添加装饰器-----', request.method)
return func(request, **kwargs)
return wrapper
# @method_decorator(my_decorator,name='get')
@method_decorator(my_decorator, name='dispatch') # --> 经手的dispatch都加装饰器
# --> 负责将 IndexView 中的函数弄出来
# ValueError: The keyword argument `name` must be the name of a method of the decorated Got '' instead
# 定义类视图
class IndexView(View):
# @my_decorator --> 报错：wrapper() takes 1 positional argument but 2 were given
# 对象方法
# @method_decorator(my_decorator) # --> 一个添加 其他不添加装饰器
def get(self, request):
return HttpResponse('method_decorator------register.html')
def post(self, request):
return HttpResponse('method_decorator-------这里实现注册逻辑')
def index(request):
# 获取请求方法，判断是GET/POST请求
if request.method == 'GET':
# 处理GET请求，返回注册页面
return render(request, 'register.html')
else:
# 处理POST请求，实现注册逻辑
return HttpResponse('这里实现注册逻辑') | [
"[email protected]"
]
| |
90f8b5f0863837b4f24ed7543348060ac40bbcc6 | d842a95213e48e30139b9a8227fb7e757f834784 | /gcloud/google-cloud-sdk/.install/.backup/lib/surface/dataproc/clusters/create.py | ebf2e974a6b41b416363de240513ced274b6ed35 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"MIT"
]
| permissive | bopopescu/JobSniperRails | f37a15edb89f54916cc272884b36dcd83cdc868a | 39e7f871887176770de0f4fc6789e9ddc7f32b1f | refs/heads/master | 2022-11-22T18:12:37.972441 | 2019-09-20T22:43:14 | 2019-09-20T22:43:14 | 282,293,504 | 0 | 0 | MIT | 2020-07-24T18:47:35 | 2020-07-24T18:47:34 | null | UTF-8 | Python | false | false | 4,982 | py | # -*- coding: utf-8 -*- #
# Copyright 2015 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Create cluster command."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.dataproc import compute_helpers
from googlecloudsdk.api_lib.dataproc import constants
from googlecloudsdk.api_lib.dataproc import dataproc as dp
from googlecloudsdk.api_lib.dataproc import util
from googlecloudsdk.calliope import base
from googlecloudsdk.calliope import exceptions
from googlecloudsdk.command_lib.dataproc import clusters
from googlecloudsdk.command_lib.kms import resource_args as kms_resource_args
from googlecloudsdk.command_lib.util.args import labels_util
def _CommonArgs(parser, beta=False):
"""Register flags common to all tracks."""
base.ASYNC_FLAG.AddToParser(parser)
parser.add_argument('name', help='The name of this cluster.')
clusters.ArgsForClusterRef(parser, beta, include_ttl_config=True)
# Add gce-pd-kms-key args
kms_flag_overrides = {'kms-key': '--gce-pd-kms-key',
'kms-keyring': '--gce-pd-kms-key-keyring',
'kms-location': '--gce-pd-kms-key-location',
'kms-project': '--gce-pd-kms-key-project'}
kms_resource_args.AddKmsKeyResourceArg(
parser, 'cluster', flag_overrides=kms_flag_overrides)
@base.ReleaseTracks(base.ReleaseTrack.GA)
class Create(base.CreateCommand):
"""Create a cluster."""
BETA = False
detailed_help = {
'EXAMPLES': """\
To create a cluster, run:
$ {command} my_cluster
"""
}
@staticmethod
def Args(parser):
_CommonArgs(parser, beta=False)
@staticmethod
def ValidateArgs(args):
if args.single_node:
# --num-workers and --num-preemptible-workers must be None (unspecified)
# or 0
if args.num_workers:
raise exceptions.ConflictingArgumentsException(
'--single-node', '--num-workers')
if args.num_preemptible_workers:
raise exceptions.ConflictingArgumentsException(
'--single-node', '--num-preemptible-workers')
if constants.ALLOW_ZERO_WORKERS_PROPERTY in args.properties:
raise exceptions.InvalidArgumentException(
'--properties',
'Instead of %s, use gcloud beta dataproc clusters create '
'--single-node to deploy single node clusters' %
constants.ALLOW_ZERO_WORKERS_PROPERTY)
def Run(self, args):
self.ValidateArgs(args)
dataproc = dp.Dataproc(self.ReleaseTrack())
cluster_ref = util.ParseCluster(args.name, dataproc)
compute_resources = compute_helpers.GetComputeResources(
self.ReleaseTrack(), args.name)
cluster_config = clusters.GetClusterConfig(args, dataproc,
cluster_ref.projectId,
compute_resources, self.BETA,
include_ttl_config=True)
cluster = dataproc.messages.Cluster(
config=cluster_config,
clusterName=cluster_ref.clusterName,
projectId=cluster_ref.projectId)
self.ConfigureCluster(dataproc.messages, args, cluster)
return clusters.CreateCluster(dataproc, cluster, args.async, args.timeout)
@staticmethod
def ConfigureCluster(messages, args, cluster):
"""Performs any additional configuration of the cluster."""
cluster.labels = labels_util.ParseCreateArgs(args,
messages.Cluster.LabelsValue)
@base.ReleaseTracks(base.ReleaseTrack.ALPHA, base.ReleaseTrack.BETA)
class CreateBeta(Create):
"""Create a cluster."""
BETA = True
@staticmethod
def Args(parser):
_CommonArgs(parser, beta=True)
clusters.BetaArgsForClusterRef(parser)
@staticmethod
def ValidateArgs(args):
super(CreateBeta, CreateBeta).ValidateArgs(args)
if args.master_accelerator and 'type' not in args.master_accelerator:
raise exceptions.InvalidArgumentException(
'--master-accelerator', 'accelerator type must be specified. '
'e.g. --master-accelerator type=nvidia-tesla-k80,count=2')
if args.worker_accelerator and 'type' not in args.worker_accelerator:
raise exceptions.InvalidArgumentException(
'--worker-accelerator', 'accelerator type must be specified. '
'e.g. --worker-accelerator type=nvidia-tesla-k80,count=2')
| [
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]
| |
a3b5797db823677eca00cbbb4314cf2ab0379c65 | 3b9bf497cd29cea9c24462e0411fa8adbfa6ba60 | /leetcode/Problems/468--Validate-IP-Address-Medium.py | a283e3d9f2615a578f4a10ccff3742d93dffa0fb | []
| no_license | niteesh2268/coding-prepation | 918823cb7f4965bec096ec476c639a06a9dd9692 | 19be0766f6b9c298fb32754f66416f79567843c1 | refs/heads/master | 2023-01-02T05:30:59.662890 | 2020-10-17T13:12:34 | 2020-10-17T13:12:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,524 | py | class Solution:
def validateIPV4(self, IP):
ipSplit = IP.split('.')
if len(ipSplit) != 4:
return False
for i in range(4):
if len(ipSplit[i]) == 0 or len(ipSplit[i]) > 3:
return False
if not ipSplit[i].isdigit():
return False
intVal = int(ipSplit[i])
if intVal < 0 or intVal > 255:
return False
if ipSplit[i][0] == '0' and len(ipSplit[i]) > 1:
return False
return True
def validateIPV6(self, IP):
ipSplit = IP.split(':')
validChar = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a','b','c','d','e','f','A','B','C','D','E','F']
if len(ipSplit) != 8:
return False
for i in range(8):
if len(ipSplit[i]) == 0 or len(ipSplit[i]) > 4:
return False
for ch in ipSplit[i]:
if ch not in validChar:
return False
# if ipSplit[i][0] == '0' and len(ipSplit[i]) > 1:
# return False
return True
def validIPAddress(self, IP: str) -> str:
ipv4, ipv6 = False, False
if '.' in IP:
ipv4 = self.validateIPV4(IP)
elif ':' in IP:
ipv6 = self.validateIPV6(IP)
if not ipv4 and not ipv6:
return 'Neither'
elif ipv4:
return 'IPv4'
else:
return 'IPv6'
| [
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]
| |
5dc820764db1b26f0d3a0a84d332b95f306ea84b | 4c83b4d7aca6bbcd15b922ad7314440fea7c9a70 | /2020-07-27_modo_horario_cp_onda1_10d/bkp/script_modo_horario_2020-03-05.py | f79f6c5aa1e5becacdcfb011cd1bd0d48794ccbc | []
| no_license | poloplanejamento/odmatrix-joinville | 63b60a85055700698cdb590c181e7c8a4d5c7361 | be7ce0814fb9dad2d289cd836dde51baa9c0850d | refs/heads/main | 2023-01-23T11:43:45.451126 | 2020-12-10T23:17:58 | 2020-12-10T23:17:58 | 320,402,809 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,337 | py | #!/usr/bin/env python3
# Bibliotecas
from http.client import HTTPSConnection
from base64 import b64encode
import json
import csv
import pandas as pd
# Variáveis
projectID = "40" # ID do projeto, conforme mostrado no frontend Web
c = HTTPSConnection("api.odmatrix.app")
userAndPass = b64encode(b"fe6b53f0280443d5bd40d5d30694f356").decode("ascii")
headers = { 'Authorization' : 'Basic %s' % userAndPass }
finall_list = []
# Formato da data: AAAA-MM-DD. Até três datas no array e o script parece rodar sem problemas
# Datas desejadas: 12/11, 13/11, 19/11, 20/11, 21/11, 03/03, 04/03, 05/03, 11/03 e 12/03
for date in ["2020-03-05"] :
for ftriptype in ["microtrip","bus","private_transport"] :
for ftimeorigin in ["0000_0059","0100_0159","0200_0259","0300_0359","0400_0459","0500_0559","0600_0659","0700_0759","0800_0859","0900_0959","1000_1059","1100_1159","1200_1259","1300_1359","1400_1459","1500_1559","1600_1659","1700_1759","1800_1859","1900_1959","2000_2059","2100_2159","2200_2259","2300_2359"] :
print(ftimeorigin)
request = "/generatematrix?format=json&project={}&date={}&ftriptype={}&ftimeorigin={}&fchk_XXX=true".format(projectID, date, ftriptype, ftimeorigin)
c.request('GET', request, headers=headers)
res = c.getresponse()
data = res.read()
matrix = json.loads(data)
for i, column in enumerate(matrix['ColumnLabels']):
for j, row in enumerate(matrix['RowLabels']):
value = matrix['Data'][j][i]
if value == 0:
continue
full_row = {}
full_row['ProjectID'] = projectID
full_row['Date'] = date
full_row['TimeOrigin'] = ftimeorigin
full_row['Origin'] = row
full_row['Destination'] = column
full_row['Modo'] = ftriptype
full_row['Trips'] = value
finall_list.append(full_row)
print(full_row)
#print(finall_list)
data = pd.DataFrame(finall_list)
final_data = pd.pivot_table(data, index=['ProjectID', 'Date', 'Origin', 'Destination', 'Modo'], columns='TimeOrigin', values='Trips')
final_data.to_csv("OD_por_modo_horario_fchk_XXX_2020-03-05.csv")
| [
"[email protected]"
]
| |
bb2ea7c18040e64a3b1053c49a768e69116d0f47 | 625f2f86f2b2e07cb35204d9b3232427bf462a09 | /HIRun2018PbPb/L1T/L1Ntuple_HIRun2015_HIMinimumBias2_egBypassFGBit1ShapeBit1/l1Ntuple_RAW2DIGI.py | 2a05fe0379f2e8a5c4507ee92d3ee8daa127a5b5 | []
| no_license | ttrk/production | abb84c423a076fd9966276b7ed4350936c755e0b | f8a64c9c38de215802799365f0f7a99e1ee78276 | refs/heads/master | 2023-02-08T23:48:56.355141 | 2023-01-26T08:46:22 | 2023-01-26T08:46:22 | 52,877,406 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,716 | py | # Auto generated configuration file
# using:
# Revision: 1.19
# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v
# with command line options: l1Ntuple -s RAW2DIGI --era=Run2_2017 --customise=L1Trigger/Configuration/customiseReEmul.L1TEventSetupForHF1x1TPs --customise=L1Trigger/Configuration/customiseReEmul.L1TReEmulFromRAW2015 --customise=L1Trigger/L1TNtuples/customiseL1Ntuple.L1NtupleEMU --customise=L1Trigger/Configuration/customiseUtils.L1TTurnOffUnpackStage2GtGmtAndCalo --customise=FWCore/ParameterSet/MassReplace.massReplaceInputTag --conditions=auto:run1_data -n 100 --data --no_exec --no_output --filein=root://xrootd.cmsaf.mit.edu//store/hidata/HIRun2015/HIMinimumBias2/RAW/v1/000/263/261/00000/0029C4B7-149B-E511-BEEE-02163E01431C.root
import FWCore.ParameterSet.Config as cms
from Configuration.StandardSequences.Eras import eras
process = cms.Process('RAW2DIGI',eras.Run2_2017)
# import of standard configurations
process.load('Configuration.StandardSequences.Services_cff')
process.load('SimGeneral.HepPDTESSource.pythiapdt_cfi')
process.load('FWCore.MessageService.MessageLogger_cfi')
process.load('Configuration.EventContent.EventContent_cff')
process.load('Configuration.StandardSequences.GeometryRecoDB_cff')
process.load('Configuration.StandardSequences.MagneticField_AutoFromDBCurrent_cff')
process.load('Configuration.StandardSequences.RawToDigi_Data_cff')
process.load('Configuration.StandardSequences.EndOfProcess_cff')
process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff')
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(100)
)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring('root://xrootd.cmsaf.mit.edu//store/hidata/HIRun2015/HIMinimumBias2/RAW/v1/000/263/261/00000/0029C4B7-149B-E511-BEEE-02163E01431C.root'),
secondaryFileNames = cms.untracked.vstring()
)
process.options = cms.untracked.PSet(
)
# Production Info
process.configurationMetadata = cms.untracked.PSet(
annotation = cms.untracked.string('l1Ntuple nevts:100'),
name = cms.untracked.string('Applications'),
version = cms.untracked.string('$Revision: 1.19 $')
)
# Output definition
# Additional output definition
# Other statements
from Configuration.AlCa.GlobalTag import GlobalTag
process.GlobalTag = GlobalTag(process.GlobalTag, 'auto:run1_data', '')
# Path and EndPath definitions
process.raw2digi_step = cms.Path(process.RawToDigi)
process.endjob_step = cms.EndPath(process.endOfProcess)
# Schedule definition
process.schedule = cms.Schedule(process.raw2digi_step,process.endjob_step)
from PhysicsTools.PatAlgos.tools.helpers import associatePatAlgosToolsTask
associatePatAlgosToolsTask(process)
# customisation of the process.
# Automatic addition of the customisation function from L1Trigger.Configuration.customiseReEmul
from L1Trigger.Configuration.customiseReEmul import L1TEventSetupForHF1x1TPs,L1TReEmulFromRAW2015
#call to customisation function L1TEventSetupForHF1x1TPs imported from L1Trigger.Configuration.customiseReEmul
process = L1TEventSetupForHF1x1TPs(process)
#call to customisation function L1TReEmulFromRAW2015 imported from L1Trigger.Configuration.customiseReEmul
process = L1TReEmulFromRAW2015(process)
# Automatic addition of the customisation function from L1Trigger.L1TNtuples.customiseL1Ntuple
from L1Trigger.L1TNtuples.customiseL1Ntuple import L1NtupleEMU
#call to customisation function L1NtupleEMU imported from L1Trigger.L1TNtuples.customiseL1Ntuple
process = L1NtupleEMU(process)
# Automatic addition of the customisation function from L1Trigger.Configuration.customiseUtils
from L1Trigger.Configuration.customiseUtils import L1TTurnOffUnpackStage2GtGmtAndCalo
#call to customisation function L1TTurnOffUnpackStage2GtGmtAndCalo imported from L1Trigger.Configuration.customiseUtils
process = L1TTurnOffUnpackStage2GtGmtAndCalo(process)
# Automatic addition of the customisation function from FWCore.ParameterSet.MassReplace
from FWCore.ParameterSet.MassReplace import massReplaceInputTag
#call to customisation function massReplaceInputTag imported from FWCore.ParameterSet.MassReplace
process = massReplaceInputTag(process)
# End of customisation functions
# Customisation from command line
# Add early deletion of temporary data products to reduce peak memory need
from Configuration.StandardSequences.earlyDeleteSettings_cff import customiseEarlyDelete
process = customiseEarlyDelete(process)
# End adding early deletion
process.simCaloStage2Layer1Digis.hcalToken = cms.InputTag('hcalDigis')
process.caloStage2Params.egBypassFGBit = cms.uint32(1)
process.caloStage2Params.egBypassShapeBit = cms.uint32(1)
| [
"[email protected]"
]
| |
d3106b474013de948f7febf50b505b9a28c5159b | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03238/s968684820.py | 27dae0cfe0a4a7956ffe2e7686af7273bbf03bf4 | []
| no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 101 | py | x=int(input())
if(x==1):
print("Hello World")
else:
x=int(input())
y=int(input())
print(x+y)
| [
"[email protected]"
]
|
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